A peer-reviewed open-access journal NeoBiota 41: 19-65 (2018) doi: 10.3897/neobiota.4 1.26599 @) NeoBiota http:/ / neob iota. pen soft. net Advancing research on alien species and biological invasions Global environmental and socio-economic impacts of selected alien grasses as a basis for ranking threats to South Africa Khensani V. Nkuna!?, Vernon Visser?*, John R.U. Wilson!?, Sabrina Kumschick!'? | South African National Biodiversity Institute, Kirstenbosch Research Centre, Cape Town, South Africa 2 Centre for Invasion Biology, Department of Botany and Zoology, Stellenbosch University, Matieland, 7602, South Africa 3 SEEC — Statistics in Ecology, Environment and Conservation, Department of Statistical Scien- ces, University of Cape Town, Rondebosch, 7701 South Africa 4 African Climate and Development Initiative, University of Cape Town, Rondebosch, 7701, South Africa Corresponding author: Sabrina Kumschick (sabrina.kumschick@gmail.com) Academic editor: C. Daehler | Received 14 May 2018 | Accepted 14 November 2018 | Published 21 December 2018 Citation: Nkuna KV, Visser V, Wilson JRU, Kumschick S (2018) Global environmental and socio-economic impacts of selected alien grasses as a basis for ranking threats to South Africa. NeoBiota 41: 19-65. https://doi.org/10.3897/ neobiota.41.26599 Abstract Decisions to allocate management resources should be underpinned by estimates of the impacts of bio- logical invasions that are comparable across species and locations. For the same reason, it is important to assess what type of impacts are likely to occur where, and if such patterns can be generalised. In this paper, we aim to understand factors shaping patterns in the type and magnitude of impacts of a subset of alien grasses. We used the Generic Impact Scoring System (GISS) to review and quantify published impact records of 58 grass species that are alien to South Africa and to at least one other biogeographical realm. Based on the GISS scores, we investigated how impact magnitudes varied across habitats, regions and impact mechanisms using multiple regression. We found impact records for 48 species. Cortaderia selloana had the highest overall impact score, although in contrast to five other species (Glyceria maxima, Nassella trichotoma, Phalaris aquatica, Polypogon monspeliensis, and Sorghum halepense) it did not score the highest possible impact score for any specific impact mechanism. Consistent with other studies, we found that the most frequent environmental impact was through competition with native plant species (with 75% of cases). Socio-economic impacts were recorded more often and tended to be greater in magnitude than environmental impacts, with impacts recorded particularly often on agricultural and animal production (57% and 51% of cases respectively). There was variation across different regions and habitats in impact magnitude, but the differences were not statistically significant. In conclusion, alien grasses present in South Africa have caused a wide range of negative impacts across most habitats and Copyright Khensani V. Nkuna et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. 20 Khensani V. Nkuna et al. / NeoBiota 41: 19-65 (2018) regions of the world. Reviewing impacts from around the world has provided important information for the management of alien grasses in South Africa, and, we believe, is an important component of manage- ment prioritisation processes in general. Keywords alien grasses, environmental impact, GISS, impact assessment, impact magnitude, impact mechanism, socio-economic impact. Introduction Grasses (family Poaceae) are among the most introduced species around the world; they occur on every continent and in various habitat types (Linder et al. 2018, van Kleunen et al. 2015, Visser et al. 2016). Alien grasses are often introduced for their high economic value. They are the source for the most consumed staple foods in the world (cereal grains) (Prescott-Allen and Prescott-Allen 1990), pasturage for livestock in agriculture (Boval and Dixon 2012), energy through biofuels (Pimentel and Patzek 2005), and they are used in alcoholic beverages such as beer and whisky (Solange et al. 2014). Alien grasses have also, however, been introduced to new areas as transport contaminants and stowaways. For example, a study by Whinam et al. (2005) found that the major source of alien grass (such as Agrostis stolonifera) introductions into sub- Antarctic islands was the transport used for ship to shore food transfers. Whether such introductions were accidental or deliberate, and regardless of the many benefits they provide, the introduction of alien grasses can result in invasions that cause substantial negative environmental and socio-economic impacts (Early et al. 2016, D’Antonio and Vitousek 1992, Driscoll et al. 2014). Grasses such as Andropo- gon gayanus have been reported to increase fire frequencies and intensity in fire-prone ecosystems (Rossiter-Rachor et al. 2004, Rossiter-Rachor et al. 2009, Setterfield et al. 2010). Arundo donax is known to change community structure, thereby causing habitat loss for birds and small mammals in the USA (Bell 1997). And in China, Avena fatua is reported to cause economic losses of US$500 million annually by invading agricultural land and reducing crop yields (Willenborg et al. 2005). Less is known about how these impacts vary across different introduced ranges, but it has been suggested that some introduced ranges experience fewer recorded im- pacts from alien grasses due to context-dependent factors (Hulme et al. 2013); e.g. the level of grass invasions might track variation in fire regimes, or might be an artifact of how well studied invasions are (Visser et al. 2016). Either way, impacts of alien grasses are most likely still increasing due to factors such as climate change and propagule pressure (Chuine et al. 2012, Fensham et al. 2013). We therefore need to understand these impacts and take precautionary measures in order to prevent or reduce them (Hulme 2003, 2006, Keller and Perrings 2011). Impact assessments are cost-effective tools used to estimate the impacts of alien species and help in the decision-making process during the prioritization of limited resources (Jeschke et al. 2014, Kumschick Global environmental and socio-economic impacts of selected alien grasses... 21 et al. 2012, Kumschick and Richardson 2013). Impact assessments have also been used to try to identify factors that predict impacts. Studies have found that traits such as a high fecundity, a habitat generalist strategy, a wide native range, a large body size and a large clutch size are associated with high environmental impacts for mammals, birds, and amphibians (Kumschick et al. 2013, Measey et al. 2016), and traits such as height, life form and life history are associated with greater impacts for plant species (PySek et al. 2012, Rumlerova et al. 2016). However, traits have generally been much more successful in predicting invasion success than in predicting impact magnitude. Moreover, impact magnitude has been found to be independent of invasion success (Ricciardi and Cohen 2007). Similar to the ‘invasive elsewhere’ strategy of predicting invasion (Gordon et al. 2010), is the use of records of ‘impact elsewhere’ to quantify the potential impacts of alien species (Kumschick et al. 2015, Ricciardi 2003). This approach can be useful in predicting the impacts of species such as grasses with biased impact records, i.e. uneven research effort across their introduced ranges. This is because it allows species with limited information to be assessed, compared against other species, and be included in management strategies. Furthermore, the approach also facilitates the search for pat- terns related to the impact mechanisms and magnitudes, which can ultimately lead to a more predictive understanding of invasions. Here we assess the environmental and socio-economic impacts of selected alien grasses occurring in South Africa by consolidating their impact records across their introduced ranges (e.g. see Kumschick et al. 2015 for examples of this for alien plants and animals in Europe, and Measey et al. 2016 for amphibians). We do this with the aim of providing quantitative estimates in order to determine which alien grasses have the greatest impacts, and to therefore assist decision makers when prioritising which alien grasses to manage. Furthermore, in order to improve our understanding of the likely impacts, we assess which factors contribute to an increased magnitude of impact in alien grasses by investigating habitats impacted by the species across different re- gions and determining the mechanisms through which impacts occur. Methods Species selection There are approximately 256 alien grasses introduced into South Africa (Visser et al. 2017). Of these, we assessed impacts for the 58 species that occur as aliens in at least one of the other following regions: Australia, Chile, Europe or the USA. We adopted this approach because: (i) there is a limited number of studies of grass impacts in South Africa; (ii) these regions have a relatively large literature on alien grasses; and (iii) the regions are assumed to be representative of different major biogeographical realms across the world (Visser et al. 2016). 22 Khensani V. Nkuna et al. / NeoBiota 41: 19-65 (2018) Literature search We searched for relevant literature on the impacts caused by the selected alien grasses up to June 2016 using the Web of Science, Google Scholar, as well as biological invasion websites and databases such as Centre for Agriculture and Biosciences International (CABI) Invasive Species Compendium (www.cabi.org/isc), Invasive Species Specialist Group (ISSG) Global Invasive Species Database (www.iucngisd.org/gisd), Hawaiian Ecosystems at Risk project (HEAR) (www.hear.org), California Invasive Plant Council Inventory (www.cal-ipc.org). The grass species’ scientific binomial names were used as search terms. We used synonyms and previous species names obtained from the Inte- grated Taxonomic Information System (ITIS) (www.itis.gov) as search terms for spe- cies with no literature record. We then selected relevant publications from the search results based on the titles and abstract content. We used primary literature when possible, otherwise, we referred to the literature’s reference list to acquire the cited literature, and the full reference to the cited literature was searched in Google Scholar. If we were still unable to access the primary literature, we noted this and recorded the primary literature as it is cited by the secondary source. A total of 1300 published sources including >100 websites and databases were reviewed; 352 published references and 98 websites and databases were considered for the impact assessment (Appendix 1). Impact scoring Different methods have been developed to quantify the environmental and socio-eco- nomic impacts of alien species, with recent notable schemes including the Environ- mental Impact Classification for Alien Taxa (EICAT) (Hawkins et al. 2015) and the Socio-Economic Impact Classification for Alien Taxa (SEICAT) (Bacher et al. 2018). In this study, however, we chose to use the Generic Impact Scoring System (GISS) (Nentwig et al. 2016) (see Hagen and Kumschick 2018 for a comparison of the El- CAT, SEICAT, and GISS schemes) as the GISS has been used widely to assess impacts of different species, and we wanted to relate our results with other previous assess- ments. The GISS classifies impacts into two major classes, namely (1) environmental and (2) socio-economic, with six impact mechanisms assigned for each impact class: (1.1) impacts on native plants or vegetation through mechanisms other than competi- tion; (1.2) impacts on animals through predation, parasitism, or intoxication; (1.3) impacts on native species through competition; (1.4) impacts through transmission of diseases or parasites to native species; (1.5) impacts through hybridisation; (1.6) impacts on ecosystems (which includes changes in nutrient pools and fluxes, habi- tat modifications and changes in disturbance regimes); (2.1) impacts on agricultural production; (2.2) animal production; (2.3) forestry production; (2.4) human health; (2.5) human infrastructure and administration; and (2.6) human social life (Nentwig et al. 2016). For each impact mechanism a six-point ranked scale is used, ranging from zero (no impact detectable) to five (highest impact possible at a site) (Kumschick Global environmental and socio-economic impacts of selected alien grasses... 23 et al. 2015). The GISS contains definitions and descriptions for the impact mecha- nisms and the impact scores within them. We assigned an impact mechanism and score to every recorded impact obtained according to the definitions and descriptions of the GISS. Scores can be summed over mechanisms to get a total score per species, with a maximum overall impact score of 60 (12 categories * a maximum impact score of 5 in each category—see details on the scoring system in Kumschick et al. 2015, Nentwig et al. 2016). In this study, we used the maximum impact score recorded per mechanism of each species for both environmental and socio-economic impacts to rank species (see Table 1). This method of aggregating only the maximum impacts per species per mechanism was used by Kumschick et al. (2015); we also adopted it in order to make our results comparable. Because scores are based on published research, species that receive more research at- tention might be expected to have higher scores (PySek et al. 2008). ‘Therefore, we tested the relationship between the species’ overall impact scores and the number of published papers used per species using a Pearson correlation test (Kumschick et al. 2017). We also tested whether there is a correlation between the species’ overall and maximum impact score in any one impact mechanism using a Kendall’s tau correlation test. Impacts across habitat types and regions For each impact reference, we recorded the habitats where the impacts were said to occur, using the habitats classified according to the first level of the International Union for the Conservation of Nature (IUCN) Red List Habitat Classification Scheme (Version 3.1) (www.iucnredlist.org). In cases where the study was not in a natural habitat (e.g. green- house or laboratory) or the habitat was not stated, we recorded the habitat as ‘not specified’. We also noted the country where the impacts occurred for each impact recorded and determined whether the grass species was native or alien in that specific country. Impact records from the native range were excluded from further analyses. We did, however, retain cases where the country was not specified but the grass species was referred to as “alien”, “introduced”, or “non-native”. We assigned each record to one of eight regions based on the location of the country in which the impacts were recorded. We used a Kendiall’s tau test to determine the correlation between the maximum im- pact of alien grasses in South Africa and the maximum impact elsewhere. Statistical analysis In contrast to the approach taken above to rank species, when testing the relationship between impact and habitats and region, we used the raw data on impact scores (i.e. each impact record was considered as a separate datum). The impact scores analysed here are therefore ordinal variables in which the scores are ordered (but which closely resemble a logarithmic scale). As such, we used a cumulative link mixed-effects model in the R package ‘ordinal’ (Christensen 2015) to test whether habitats and regions influ- 24 Table 1. Grasses alien to South Africa and one other region (Chile, Europe, Australia and the USA) ranked according to impacts. The numbers under environmental and socio-economic impacts are the respective sums of the maximum impact scores per impact mechanism of a species. Species that score a maximum of 5 in any one impact mechanism are highlighted in bold. NA indicates no impact found for that species, hence not applicable. Total impact represents the overall sum of the environmental and socio- economic impacts. Species marked with an asterisk* have impacts recorded in South Africa. Literature used and detailed maximum scores per mechanism are available in the Supporting Information (Appendix S1 and Table S1). Species name Cortaderia selloana* Arundo donax* Avena fatua* Elymus repens* Festuca arundinacea Nassella trichotoma* Sorghum halepense* Bambusa vulgaris Bromus tectorum* Cortaderia jubata Paspalum notatum Bromus rubens* Glyceria maxima* Brachypodium distachyon Vulpia myuros Holcus lanatus Hordeum murinum* Paspalum dilatatum Phalaris aquatica Agrostis stolonifera* Arrhenatherum elatius Bromus rigidus Dactylis glomerate Hordeum jubatum Poa annua* Polypogon monspeliensis Vulpia bromoides Bromus madritensis Lolium multiflorum Aira caryophyllea Avena barbata Bromus catharticus* Lolium perenne Poa pratensis Briza maxima Bromus diandrus Digitaria sanguinalis Lolium temulentum Environmental impacts 7 10 NNN DWDA KR KRW WN rK WN KR WON UN DWWHdns NN WY OO RO WNN DA BA roe Z Khensani V. Nkuna et al. / NeoBiota 41: 19-65 (2018) Socio-economic impacts 11 om NN GO ON N N NW eo RO KRN KRU DN HWM DWWON OWE g mr BG DW Total impact 18 17 17 17 17 15 14 13 13 13 13 12 12 11 11 NNWBNDWNNNNN WO OH OO OO OD ODO OO DO OO 9 Global environmental and socio-economic impacts of selected alien grasses... 29 Species mame Environmental Src cooamis Pialimpare impacts impacts Paspalum urvillei 4 2 6 Pennisetum setaceum* 5 1 6 Cenchrus spinifex 2 2 4 Cynosurus echinatus 4 NA 4 Paspalum quadrifarium* 3 4 Avena sterilis NA d 3 Bromus hordeaceus 3 NA , Oryza sativa 2 NA ) Panicum miliaceum NA 2 2 Pennisetum villosum* 1 y ence impact magnitude. Since we found multiple studies that assess the same impacts for the same species in the same region or habitat, we included species identity, as well as mechanism nested in impact type (environmental or socio-economic) as random fac- tors and impact mechanism, habitat type, and region as fixed effects. We also tested a model in which mechanism nested within impact type was included as a fixed effect but found this made no difference to the results. We did not investigate interactions among predictors because of the limited number of observations. To determine the goodness of fit for the model we calculated pseudo R’ by fitting a null model with no predic- tor variables and compared it against the full model using the ‘nagelkerke’ function within the R package ‘rcompanion’ (Mangiafico 2016). We tested the significance of fixed effects using analysis of deviance of single-term deletion models tested against the full model using a chi-squared distribution from the ‘drop1’ command. We used least- squares means with P values adjusted using the Tukey method, to determine significant differences between the levels of each predictor (mechanism, habitat and region). All statistical analyses were performed using R version 3.4.4 (R Core Team, 2018). Results Grasses ranked by impact Of the 58 alien grasses selected for impact assessment, we found records of impact for 48 species, i.e. 10 species (Suppl. material 1: Table S1) were data deficient with no record of impact. The species with the highest overall impact score was Cortaderia selloana (impact magnitude = 18), followed by Arundo donax, Avena fatua, Elymus repens, and Festuca arundinacea (all with impacts of 17, Table 1). However, a different set of species scored the maximum possible impact of five on any one particular impact mechanism, namely, Glyceria maxima (animal production), Nassella trichotoma (ani- mal production), Phalaris aquatica (predation or parasitism or intoxication and animal production), Polypogon monspeliensis (animal production), and Sorghum halepense (ag- ricultural production) (see Suppl. material 1: Table S1). 26 Khensani V. Nkuna et al. / NeoBiota 41: 19-65 (2018) Table 2. Cumulative link mixed effects model estimating the effect of habitat, region and impact mecha- nism on overall impact magnitude of the studied alien grasses (m1). The significance of predictor variables was determined using single-term (predictor) deletion models tested against the full model. Models were run with species identity, and mechanism nested within mechanism type (environmental or socio-eco- nomic) as random factors. AIC is the Alkaike’s Information Criterion, and P is the chi-squared p-value. Model Df AIC P ml 2203.4 Habitats 9 2193.8 0.49 Regions 8 2202.5 0.06 Mechanisms M1 IP Als His. < 0.001 We used a total of 352 published literature sources; however, the literature was highly skewed, ranging from one to 23 publications per species. Some literature sources report- ed on more than one species. We found a significant positive correlation (tau = 0.48, P = 0.006) between the overall impact scores per species and the number of publications used to score the impacts. However, this potentially only affects the relative rankings of species according to impact scores (Table 1), because for the mixed effect model analyses, we did not aggregate maximum records of the species and used each paper as a separate record. Impact magnitudes across mechanisms We found that three-quarters (36 out of 48) of alien grass species have records of causing environmental impacts through competition with native species, and half (24 out of 48) of the species have records of causing impacts on ecosystems (Figure 1). We found the fewest records and the lowest overall impact through the ‘plants or vegetation’ mecha- nism, which according to the GISS includes allelopathy or the release of plant exudates (Nentwig et al. 2016). Most socio-economic impacts are caused through agricultural and animal production, with 29 and 26 cases respectively, while forestry production was represented by few species (Figure 1). The maximum impact possible (5), was re- corded for impacts on animals through predation or parasitism, animal production and agricultural production. When comparing scores between impact types, greater impact magnitudes of 4 and 5 were obtained for socio-economic than environmental impacts. The effects of impact mechanisms, impacted regions, and habitat types on im- pact magnitude We found that impact mechanism is the only statistically significant predictor of im- pact magnitude (P < 0.001, Table 2). Results from the model show that alien grasses have a lower impact magnitude through the transmission of diseases or parasites to native species and greater impacts on native animals through food availability or palat- ability and intoxication (Figure 2). There is a trend towards greater impact magnitude in Antarctica (Suppl. material 1: Figure $1); however, differences across regions are not significant (P = 0.057, Table 2). We found nine habitats impacted by alien grasses; Global environmental and socio-economic impacts of selected alien grasses... 27 Environmental Socio-economic 54 44 wo Frequency oO 3 @ : Oo tr) 10 % 31 e @ : @ : Qo E @- D4. 14 . Figure |. Number of alien grass species per impact mechanism for each impact magnitude. On the x-axis are the GISS environmental and socio-economic impact mechanisms, and on the y-axis are the impact scores according to GISS. The size of the points represents the number of species which had the corre- sponding maximum recorded impact score for that mechanism (out of the 48 species with impact records). See Suppl. material 1: Table S1 for the full details. (29) Agricultural production k—_——————_\———————“_ bcd (20) Diseases or parasites: Sn ee C2 (3) Plants: Be —f abcde (11) Infrastructure: HK" cde (18) Hybridisation AHR i ab (8) Human social life ki ab (14) Human health sabe (4) Forestry production Re SOc (24) Ecosystems: HHI cde (36) Competition: -——__—__+———— cde (4) Animals Ks de (26) Animal production rk —wne——qe 7 -4 ns :, -2 Relative impact magnitude Figure 2. The impact magnitude of the 48 studied alien grasses across different impact mechanisms. On the x-axis are the least-squares means of the impact scores as derived from a cumulative link mixed effects model, and on the y-axis are the GISS impact mechanisms with the number of species in brackets. The points repre- sent the impact magnitudes and the error bars represent 95% confidence intervals. Letters on the right side of the confidence intervals are level groupings indicating significant differences among the mechanisms (level groupings with the same letters are not significantly different, comparisons are Tukey adjusted). 28 Khensani V. Nkuna et al. / NeoBiota 41: 19-65 (2018) rs Frequency @ 4 @ 3s @ 12 @ ics ho Impact magnitude elsewhere in the world oo NA 1 2 3 4 5 Impact magnitude in South Africa Figure 3. Comparison between impact magnitude of alien grasses in South Africa and elsewhere in the world. The values 1 to 5 on the x- and y-axis represent the GISS impact magnitudes and NA indicates no impact record found. ‘The size of the points represents the frequency of species with impacts records. however,as with "region" as a predictor of impact magnitude, habitat type was also not a significant predictor (P = 0.49, Table 2), and differences among habitats were not statistically significant (Suppl. material 2: Figure $2). Including mechanism nested within impact type (environmental or socio-economic) as a random effect provided no improvement in model fit (Suppl. material 1: Table S2). However, we kept this nested random effect in the analysis because it accounts and corrects for non-independence of the observations and reflects the actual design of this study. Impact of alien grasses in South Africa versus elsewhere We found that only 16 of the 58 alien grasses had recorded impacts in South Africa, 13 for inland and three for the offshore islands (Table 1). These impacts were mostly lower than elsewhere, with the exception of Nassella trichotoma and Hordeum murinum (Figure 3). However, there is no correlation (t = 0.14, P = 0.28) between impacts of alien grasses in South Africa and those recorded elsewhere in the world. Discussion This study is the first environmental and socio-economic impact assessment to focus specifically on alien grasses. Using the GISS we were able to quantify the impacts of Global environmental and socio-economic impacts of selected alien grasses... 29 alien grasses using information from across the globe. ‘This study, therefore, provides a useful overview of the literature on evidence-based impacts of alien grasses and high- lights potential risks to South Africa. Furthermore, it shows gaps in the available litera- ture as some species could not be assessed due to a lack of impact studies. We found that alien grasses generally scored higher for socio-economic than en- vironmental impacts. Grass impact scores were particularly high for agricultural and animal production. This might reflect the large number of agricultural weeds that are grasses (Daehler 1998) or their initial introduction for agricultural purposes (Hancock 2012). Alien grasses scored the lowest for impacts caused via transmission of diseases or parasites to native species, with a maximum score of 2, which represents a minor impact (Nentwig et al. 2016), while the frequency under this mechanism was larger. On the contrary, mechanisms with scarce literature, such as impacts on native animals, obtained higher impact scores. This could be because impacts through the transmis- sion of disease or parasites between plant species are not readily observed in the wild, most of the literature under this mechanism is form small-scale laboratory studies which do not report impacts on the overall population. Despite most grasses not having very high overall impact scores compared to other species (e.g., Kumschick et al. 2015), many alien grasses scored high across the full range of impact mechanisms (i.e. alien grasses can cause a wide range of environmental and socio-economic impacts) and so had high total impact scores. For example, Corta- deria selloana did not have any individual mechanism score over 3 but has the highest overall score (Table 1) due to the many different mechanisms through which it causes impacts. In contrast, Polypogon monspeliensis and Phalaris aquatica scored the highest impact (5) in certain impact mechanisms, but their overall score is lower. This trend is not observed in other studies, such as the one conducted on alien aquatics by Laverty et al. (2015), where the species with the highest overall score also obtained an impact score of 5 for two different mechanisms. Grasses thus provide an interesting case to explore whether we should be more concerned with invasive species that cause a range of different types of impacts or invasive species that only cause a few types of impacts but with greater magnitude. Grasses are one of the most cosmopolitan plant families in the world and are present in almost all terrestrial habitats. They also impact a wide range of habitats, as demonstrated in this study. Knowledge about which habitats are most severely impacted by alien grasses is essential for their management. Grasses can cause rapid and dramatic transformation of non-grassy habitats into grass-dominated communi- ties. For example, Bromus rubens and B. madritensis have caused widespread trans- formation of shrubby systems in the Mojave Desert (DeFalco et al. 2007, Jurand et al. 2013). With regards to regions, we found that Antarctica (sub-Antarctic islands mostly) on average has the highest alien grass impact scores. Grasses such as Agrostis stolonifera reduce moss diversity, liverwort populations, and replace the rosaceous dwarf shrub (Acaena magellanica) with dense grassland patches on Marion Island (Gremmen et al. 1998). It is not clear, however, whether this trend is due to differ- ences in sampling effort or a greater susceptibility of sub-Antarctic islands to impacts than the mainland (Hagen and Kumschick 2018). 30 Khensani V. Nkuna et al. / NeoBiota 41: 19-65 (2018) However, neither habitat nor region were found to be significant predictors of im- pact magnitude. This could suggest that the impacts are the same across habitats and regions, but the lack of signal likely also reflects the low sample sizes for most habitat types and some regions. Furthermore, it will be interesting to repeat this study based on a more representative global sample of species (the bias in this current analysis to- wards grasses alien to South Africa was simply for applied reasons). When we compare impacts scores of alien grasses with impact scores of studies that assessed other plant taxa (Kumschick et al. 2015, Rumlerova et al. 2016), our results also show that the competition with native plant species is the most frequent mecha- nism through which alien grasses cause impacts. Four species from our list were previ- ously assessed in those studies (Kumschick et al. 2015, Rumlerova et al. 2016), and our results were similar to them for two of the species (Arundo donax and Paspalum dilatat- um), each with a difference of less than 5 between the overall impact scores. However, we obtained higher overall impacts than Kumschick et al. (2015) and Rumlerova et al. (2016) for the other two species (Cortaderia selloana and Hordeum jubatum), each with a difference of 9 and 8 respectively. These differences can be explained by the broader search criteria applied; for example, authors of the above-mentioned studies used key- words such as “invas* or exot* or weed*” in addition to the species name, while we only used the species name as a search term. Although impacts of alien grasses are poorly studied when compared to other species, such as birds and mammals, we were able to find impact records for more than 80% of the grass species selected for the assessment, which is higher than for other species, such as am- phibians (41.3%) (Measey et al. 2016). The average number of papers (5.7) used to score impacts of alien grasses across the globe was also higher than the amphibians and other species (Kumschick et al. 2015, Measey et al. 2016). Similar to the mammals and other plants (Kumschick and Nentwig 2010, Kumschick et al. 2015), alien grasses were also re- ported to cause impact across all impact mechanisms. ‘This might be because grasses occur across a wide range of sectors and habitats, which allows them to exert impact across all mechanisms. When prioritising management of all alien species, our list can be compared to other assessments conducted for other species, such as birds, amphibians, mammals, and aquatic species (Kumschick and Nentwig 2010, Laverty et al. 2015, Measey et al. 2016, Nentwig et al. 2010). However, it is important to note that impact assessments of some of those species are based on impacts recorded only in Europe and not globally, which may cause a bias to the overall impact scores. More impact studies are still needed for alien grass species, especially when it comes to species with no impact records across all introduced ranges, but with taxonomic characteristics of invaders (such as Bambusa balcooa, Canavan et al. 2016). It will be interesting to see if the findings of Canavan et al. (2018a), that bam- boos have similar impacts in their native and alien ranges are the same for other grasses or perhaps only other tall-statured grasses (Canavan et al. 2018b). However, we suspect there are qualitative differences between the impacts in the native and alien ranges, for the grasses studied here, as the impacts observed are not primarily a response to human disturbance. ‘Two species were scored as causing very high impacts (4 or 5) outside of South Africa, but only low levels of impact (1 or 2) in South Africa. For instance, Glyceria maxima obtained Global environmental and socio-economic impacts of selected alien grasses... | a score of 5 because it is associated with the death of livestock through poisoning in Australia (Barton et al. 1983), but such impacts have not (yet) been recorded in South Africa. This can flag species that could potentially cause high impacts in South Africa and which should therefore be monitored, or preventative measures put in place to limit such impacts occur- ring in future. In most other cases the impact elsewhere was either the same or slightly higher than that recorded in South Afica, except for Agrostis stolonifera, Hordeum murinum, and Nassella trichotoma. This included two species (Nassella trichotoma and Hordeum murinum) whose impacts in South Africa were one level higher than elsewhere. For example, Nassella trichotoma obtained a score of 5 in South Africa and 4 elsewhere (in Australia) for impacts on animal production by reducing livestock carrying capacity and pasture production (Klepeis et al. 2009). The lack of correlation between impacts found in South Africa and elsewhere should, however, be assessed with caution — it is indicative of a research gap. Records of im- pacts are generally fewer in South Africa (with a maximum of five sources per species and an average of 1.9) and even lacking for most species. Alternatively, it could indicate that there is an impact debt (Rouget et al. 2016), i.e. species have not reached their full impact potential in South Africa (yet), as species with more information in South Africa did not show higher similarities in impact magnitudes to elsewhere. Finally, South Africa might be more resilient to grass invasions, and impacts are actually lower here (Visser et al. 2017). These hypotheses warrant more research and can only be disentangled once more data become available. In summary, the lack of statistically significant differences in impact magnitudes across habitats and regions for alien grasses suggests that impact in this group is not habitat or region specific as in other groups (cf. Hulme et al. 2013, Pysek et al. 2011). As such, we recommend that different habitats should be equally considered for alien grass impact management. While we recommend that impact scoring schemes, such as the one used in this study, should be incorporated in the decision-making processes for alien species management, we caution that extrapolations from other invaded regions indicate potential and not actual impacts. Acknowledgements We acknowledge the financial support from the Department of Environmental Affairs through their funding of the South African National Biodiversity Institute. We also ac- knowledge the DST-NRF Centre of Excellence for Invasion Biology for their support. References Bacher S, Blackburn TM, Essl F, Genovesi P, Heikkila J, Jeschke JM, Jones G, Keller R, Kenis M, Kueffer C, Martinou AE Nentwig W, Pergl J, PySek P, Rabitsch W, Richardson DM, Roy HE, Saul WC, Scalera R, Vila M, Wilson JRU, Kumschick S (2018) Socio-economic impact classification of alien taxa (SEICAT). Methods in Ecology and Evolution 9: 159- 168. https://doi.org/10.1111/2041-210X.12844 32 Khensani V. Nkuna et al. / NeoBiota 41: 19-65 (2018) Barton NJ, McOrist S, McQueen DS, O’Connor PF (1983) Poisoning of cattle by Glyceria maxi- ma. Australian Veterinary Journal 60: 220-221. https://doi.org/10.1111/j.1751-0813.1983. tb09591.x Bell GP (1997) Ecology and management of Arundo donax, and approaches to riparian habitat restoration in Southern California. In: Brock J (Ed.) Plant Invasions: Studies from North America and Europe. Backhuys, Leiden, 103-113. Boval M, Dixon RM (2012) The importance of grasslands for animal production and other functions: a review on management and methodological progress in the tropics. Animal 6: 748-762. https://doi.org/10.1017/S1751731112000304 Canavan S, Kumschick S, Le Roux JJ, Richardson D, Wilson JRU (2018a) Does origin mat- ter for impacts of weedy plants? Not for bamboos. Plants, People, Planet. http://dx.doi. org/10.1002/ppp3.5 Canavan S, Meyerson LA, Packer JG, Pysek P, Maurel N, Lozano V, Richardson DM, Brundu G, Canavan K, Cicatelli A, Cuda J, Dawson W, Essl E Guarino F, Guo W-Y, Kleunen M v, Kreft H, Lambertini C, Pergl J, Skalova H, Soreng RJ, Visser V, Vorontsova MS, Weigelt P, Winter M, Wilson JRU (2018b) Tall-statured grasses: a useful functional group for inva- sion science. Biological Invasions. https://doi.org/10.1007/s10530-018-1815-z. Canavan S, Richardson DM, Visser V, Roux JJ Le, Vorontsova MS, Wilson JRU (2016) The global distribution of bamboos: assessing correlates of introduction and invasion. AoB PLANTS 9(1): plw078. https://doi.org/10.1093/aobpla/plw078 Christensen RHB (2015) Package “ordinal” Title Regression Models for Ordinal Data. Available from: https://cran.r-project.org/web/packages/ordinal/ordinal.pdf [accessed October 2, 2016] Chuine I, Morin X, Sonié L, Collin C, Fabreguettes J, Degueldre D, Salager J-L, Roy J (2012) Climate change might increase the invasion potential of the alien C4 grass Setaria parviflo- ra (Poaceae) in the Mediterranean Basin. Diversity and Distributions 18: 661-672. https:// doi.org/10.1111/j.1472-4642.2011.00880.x D’Antonio CM, Vitousek PM (1992) Biological invasions by exotic grasses, the grass/fire cycle, and global change. Annual Review of Ecology and Systematics 23: 63-87. https://doi. org/10.1146/annurev.es.23.110192.000431 Daehler CC (1998) The taxonomic distribution of invasive angiosperm plants: Ecological in- sights and comparison to agricultural weeds. Biological Conservation 84: 167-180. htt- ps://doi.org/10.1016/S0006-3207(97)00096-7 DeFalco LA, Fernandez GCJ, Nowak RS (2007) Variation in the establishment of a non-native annual grass influences competitive interactions with Mojave Desert perennials. Biological Invasions 9: 293-307. https://doi.org/10.1007/s10530-006-9033-5 Driscoll DA, Catford JA, Barney JN, Hulme PE, Inderjit, Martin TG, Pauchard A, Pysek P, Richardson DM, Riley S, Visser V (2014) New pasture plants intensify invasive species risk. Proceedings of the National Academy of Sciences of the United States of America 111: 16622-16627. https://doi.org/10.1073/pnas.1409347111 Early R, Bradley BA, Dukes JS, Lawler JJ, Olden JD, Blumenthal DM, Gonzalez P, Grosholz ED, Ibafiez I, Miller LP, Sorte CJB, Tatem AJ (2016) Global threats from invasive alien species in the twenty-first century and national response capacities. Nature Communica- tions 7: 12485. https://doi.org/10.1038/ncomms12485 Global environmental and socio-economic impacts of selected alien grasses... 33 Fensham RJ, Donald S, Dwyer JM (2013) Propagule pressure, not fire or cattle grazing, pro- motes invasion of buffel grass Cenchrus ciliaris Sheppard. Journal of Applied Ecology 50: 138-146. https://doi.org/10.1111/1365-2664.12009 Gordon DR, Mitterdorfer B, Pheloung PC, Ansari S, Buddenhagen C, Chimera C, Daehler CC, Dawson W, Denslow JS, LaRosa AM, Nishida T; Onderdink DA, Panetta FD, Pysek P, Randall RP, Richardson MD, Tshidada NJ, Virtue JG, Williams PA (2010) Guidance for addressing the Australian weed risk assessment questions. EUROPE View project. Plant Production Quarterly 25: 56-74. http://scholar.sun.ac.za/han- dle/10019.1/46560 Gremmen NJM, Chown SL, Marshall DJ (1998) Impact of the introduced grass Agrostis stolonifera on vegetation and soil fauna communities at Marion Island, sub-Antarctic. Bio- logical Conservation 85: 223-231. https://doi.org/10.1016/S0006-3207(97)00178-X Hagen BL, Kumschick S (2018) The relevance of using various scoring schemes revealed by an impact assessment of feral mammals. NeoBiota 38: 35-75. https://doi.org/10.3897/ neobiota.38.23509 HancockJ (2012) Plant evolution and the origin of crop species. 3°ed. CABI, Nosworthy way, Wellingford, Oxfordshire, UK, 244 pp. https://doi.org/10.1079/9781845938017.0000 Hawkins CL, Bacher S, Ess! KE Hulme PE, Jeschke JM, Kithn I, Kumschick S$, Nentwig W, Pergl J, PySek P, Rabitsch W, Richardson DM, Vila M, Wilson JRU, Genovesi P, Black- burn TM (2015) Framework and guidelines for implementing the proposed IUCN Envi- ronmental Impact Classification for Alien Taxa (EICAT). Diversity and Distributions 21: 1360-1363. https://doi.org/10.1111/ddi.12379 Hulme PE (2003) Biological invasions: winning the science battles but losing the conservation war? Oryx 37: 178-193. https://doi.org/10.1017/S003060530300036X Hulme PE (2006) Beyond control: Wider implications for the management of biological invasions. Journal of Applied Ecology 43: 835-847. https://doi.org/10.1111/j.1365- 2664.2006.01227.x Hulme PE, Py’ Ek PB, Ch V, Ik J, Pergl J, Schaffner U, Vila M (2013) Bias and error in under- standing plant invasion impacts. Trends in Ecology & Evolution 28: 212—218. https://doi. org/10.1016/j.tree.2012.10.010 Jeschke JM, Bacher S, Blackburn TM, Dick JT, Essl EF Evans T) Gaertner M, Hulme PE, Kuhn I, Mrugata A, Pergl J, Pysek P, Rabitsch W, Ricciardi A, Richardson DM, Sendek A, Vila M, Winter M, Kumschick S (2014) Defining the impact of non-native species. Con- servation Biology 28: 1188-1194. https://doi-org/10.1111/cobi.12299 Jurand BS, Abella SR, Suazo AA (2013) Soil seed bank longevity of the exotic annual grass Bro- mus rubens in the Mojave Desert, USA. Journal of Arid Environments 94: 68—75. https:// doi.org/10.1016/j.jaridenv.2013.03.006 Keller RP, Perrings C (2011) International Policy Options for Reducing the Environmen- tal Impacts of Invasive Species. BioScience 61: 1005-1012. https://doi.org/10.1525/ bio.2011.61.12.10 Klepeis P, Gill N, Chisholm L (2009) Emerging amenity landscapes: Invasive weeds and land subdivision in rural Australia. Land Use Policy 26: 380-392. https://doi.org/10.1016/j. landusepol.2008.04.006 34 Khensani V. Nkuna et al. / NeoBiota 41: 19-65 (2018) Kumschick S$, Nentwig W (2010) Some alien birds have as severe an impact as the most ef- fectual alien mammals in Europe. Biological Conservation 143: 2757-2762. https://doi. org/10.1016/j.biocon.2010.07.023 Kumschick S, Bacher S, Dawson W, Heikkila J, Sendek A, Pluess T, Robinson T, Kiihn I (2012) A conceptual framework for prioritization of invasive alien species for management ac- cording to their impact. NeoBiota 15: 69-100. https://doi.org/10.3897/neobiota. 15.3323 Kumschick S, Bacher S, Blackburn TM (2013) What determines the impact of alien birds and mammals in Europe? Biological Invasions 15: 785-797 https://doi.org/10.1007/s10530- 012-0326-6 Kumschick S, Richardson DM (2013) Species-based risk assessments for biological inva- sions: Advances and challenges. Diversity and Distributions 19: 1095-1105. https://doi. org/10.1111/ddi.12110 Kumschick S, Bacher S, Evans T, Markova Z, Pergl J, PySek P, Vaes-Petignat S, van der Veer G, Vila M, Nentwig W (2015) Comparing impacts of alien plants and animals in Europe using a standard scoring system. Journal of Applied Ecology 52: 552-561. https://doi. org/10.1111/1365-2664.12427 Kumschick S, Measey GJ, Vimercati G, de Villiers FA, Mokhatla MM, Davies SJ, Thorp CJ, Rebelo AD, Blackburn TM, Kraus F (2017) How repeatable is the Environmental Impact Classification of Alien Taxa (EICAT)? Comparing independent global impact assessments of amphibians. Ecology and Evolution 7: 2661-2670. https://doi.org/10.1002/ece3.2877 Laverty C, Nentwig W, Dick JTA, Lucy FE (2015) Alien aquatics in Europe: assessing the relative en- vironmental and socioeconomic impacts of invasive aquatic macroinvertebrates and other taxa. Management of Biological Invasions 6: 341-350. https://doi.org/10.3391/mbi.2015.6.4.03 Linder HP, Lehmann CER, Archibald S$, Osborne CP, Richardson DM (2018) Global grass (Poaceae) success underpinned by traits facilitating colonization, persistence and habitat transformation. Biological Reviews 93: 1125-1144. https://doi.org/10.1111/brv.12388 Mangiafico S (2016) Functions to Support Extension Education Program Evaluation [R pack- age rcompanion version 1.1.3]. Available from: https://cran.r-project.org/web/packages/ rcompanion/index.html Measey GJ, Vimercati G, de Villiers FA, Mokhatla M, Davies SJ, Thorp CJ, Rebelo AD, Kum- schick S (2016) A global assessment of alien amphibian impacts in a formal framework. Diversity and Distributions 22: 970-981. https://doi.org/10.1111/ddi.12462 Nentwig W, KUhnel E, Bacher S (2010) A generic impact-scoring system applied to alien mammals in Europe: Contributed paper. Conservation Biology 24: 302-311. https://doi. org/10.1111/j.1523-1739.2009.01289.x Nentwig W, Bacher S, Pysek P, Vila M, Kumschick S (2016) The generic impact scoring system (GISS): a standardized tool to quantify the impacts of alien species. Environmental Moni- toring and Assessment 188: 315. https://doi.org/10.1007/s10661-016-5321-4 Pimentel D, Patzek TW (2005) Ethanol Production Using Corn, Switchgrass, and Wood; Bio- diesel Production Using Soybean and Sunflower. Natural Resources Research 14: 65-67. https://doi.org/10.1007/s11053-005-4679-8 Prescott-Allen R, Prescott-Allen C (1990) How many plants feed the world? Conservation Biology 4: 365-374. https://doi.org/10.1111/j.1523-1739.1990.tb00310.x Global environmental and socio-economic impacts of selected alien grasses... 35 Pysek P, Richardson DM, Pergl J, Jarosik V, Sixtova Z, Weber E (2008) Geographical and taxo- nomic biases in invasion ecology. Trends in Ecology and Evolution 23: 237-244. https:// doi.org/10.1016/j.tree.2008.02.002 Pysek P, Jarosik V, Pergl J (2011) Alien plants introduced by different pathways differ in inva- sion success: unintentional introductions as a threat to natural areas. PLoS One 6: e24890. https://doi.org/10.1371/journal.pone.0024890 Pysek P, Jarosik V, Hulme PE, Pergl J, Hejda M, Schaffner U, Vila M (2012) A global as- sessment of invasive plant impacts on resident species, communities and ecosystems: the interaction of impact measures, invading species’ traits and environment. Global Change Biology 18: 1725-1737. https://doi.org/10.1111/j.1365-2486.2011.02636.x Ricciardi A (2003) Predicting the impacts of an introduced species from its invasion history: An empirical approach applied to zebra mussel invasions. Freshwater Biology 48: 972-981. https://doi.org/10.1046/j.1365-2427.2003.0107 1.x Ricciardi A, Cohen J (2007) The invasiveness of an introduced species does not predict its im- pact. Biological Invasions 9: 309-315. https://doi.org/10.1007/s10530-006-9034-4 Rouget M, Robertson MP, Wilson JRU, Hui C, Essl F, Renteria JL, Richardson DM (2016) Invasion debt-quantifying future biological invasions. Diversity and Distributions 22: 445-456. https://doi.org/10.1111/ddi.12408 Rossiter-Rachor NA, Setterfield SA, Douglas MM, Hutley L, Cook G (2004) Exotic grass invasion in the tropical savanna of northern Australia: ecosystem consequences. In: Sin- del BM, Johnson SB (Eds) Proceedings of the 14% Australian Weeds Conference: Weed Management, Wagga Wagea, NSW, 6-9 September 2004, 168-171. Rossiter-Rachor NA, Setterfield SA, Douglas MM, Hutley LB, Cook GD, Schmidt S (2009) Invasive Andropogon gayanus (gamba grass) is an ecosystem transformer of nitrogen relations in Australian savanna. Ecological Applications 19: 1546-1560. https://doi. org/10.1890/08-0265.1 Rumlerova Z, Vila M, Pergl J, Nentwig W, Pysek P (2016) Scoring environmental and socioeconomic impacts of alien plants invasive in Europe. Biological Invasions 18: 3697— 3711. https://doi.org/10.1007/s10530-016-1259-2 Setterfield SA, Rossiter-Rachor NA, Hutley LB, Douglas MM, Williams RJ (2010) Turning up the heat: The impacts of Andropogon gayanus (gamba grass) invasion on fire behaviour in northern Australian savannas. Diversity and Distributions 16: 854-861. https://doi. org/10.1111/j.1472-4642.2010.00688.x Solange A, Georgette K, Gilbert F, Marcellin DK, Bassirou B (2014) Review on African traditional cereal beverages. American Journal of Research Communication 2. http://www. usa-journals.com/wp-content/uploads/2014/04/Solange_Vol25.pdf van Kleunen M, Dawson W, Essl FE Pergl J, Winter M, Weber E, Kreft H, Weigelt P, Kartesz J, Nishino M, Antonova LA, Barcelona JE Cabezas FJ, Cardenas D, Cardenas-Toro J, Castano N, Chacon E, Chatelain C, Ebel AL, Figueiredo E, Fuentes N, Groom QJ, Henderson L, Inderjit Kupriyanov A, Masciadri S, Meerman J, Morozova O, Moser D, Nickrent DL, Patzelt A, Pelser PB, Baptiste MP, Poopath M, Schulze M, Seebens H, Shu WS, Thomas J, Velayos M, Wieringa JJ, Pysek P (2015) Global exchange and accumulation of non-native plants. Nature 525: 100-103. https://doi.org/10.1038/nature14910 36 Khensani V. Nkuna et al. / NeoBiota 41: 19-65 (2018) Visser V, Wilson JRU, Fish L, Brown C, Cook GD, Richardson DM (2016) Much more give than take: South Africa as a major donor but infrequent recipient of invasive non-native grasses. Global Ecology and Biogeography 25: 679-692. https://doi.org/10.1111/geb.12445 Visser V, Wilson JRU, Canavan K, Canavan S, Fish L, Le Maitre D, Nanni I, Mashau C, O’connor TG, Ivey P, Kumschick S, Richardson DM (2017) Grasses as invasive plants in South Africa revisited: Patterns, pathways and management. Bothalia-African Biodiversity & Conservation 47: 1-29. https://doi.org/10.4102/abc.v47i2.2169 Whinam J, Chilcott N, Bergstrom DM (2005) Subantarctic hitchhikers: expeditioners as vectors for the introduction of alien organisms. Biological Conservation 121: 207-219. https://doi.org/10.1016/J.BIOCON.2004.04.020 Willenborg CJ, May WE, Gulden RH, Lafond GP, Shirtliffe SJ (2005) Influence of wild oat (Avena fatua) relative time of emergence and density on cultivated oat yield, wild oat seed production, and wild oat contamination. Weed Science 53: 342-352. https://doi. org/10.1614/WS-04-124R1 Appendix | Literature, websites, and databases used to score environmental and socio-economic impacts of 58 alien grass species according to the GISS. 1. Abbasi FM, Shah AH, Perveen FE, Afzal M, Sajid M, Masood R, Nawaz F (2010) Genomic affinity between Oryza sativa and Oryza brachyantha as revealed by in situ hy- bridization and chromosome pairing. African Journal of Biotechnology 9: 3068-3072. Dae Abella S, Fisichelli NA, Schmid SM, Embrey TM, Hughson D, Cipra J (2015) Status and management of non-native plant invasion in three of the largest national parks in the United States. Nature Conservation 10: 71-94. https://doi.org/10.3897/naturecon- servation. 10.4407 a Abella SR, Craig DJ, Chiquoine LP, Prengaman KA, Schmid SM, Embrey TM (2011) Relationships of Native Desert Plants with Red brome (Bromus rubens): Toward Identi- fying Invasion-Reducing Species. Invasive Plant Science and Management 4: 115-124. https://doi.org/10.1614/IPSM-D-10-00013.1 4, Acciaresi HA, Guiamet JJ (2010) Below- and above-ground growth and biomass al- location in maize and Sorghum halepense in response to soil water competition. Weed Research 50: 481-492. https://doi.org/10.1111/j.1365-3180.2010.00794.x a, Actkinson JM, Burson BL (1999) Cytogenetic relationships between Paspalum pubiflo- rum and three South American Paspalum species. International journal of plant sciences 160: 775-781. 6. Adkins E, Cordell S, Drake DR (2011) Role of Fire in the Germination Ecology of Fountain Grass (Pennisetum setaceum), an Invasive African Bunchgrass in Hawai'i. Pa- cific Science 65: 17—25. https://doi.org/10.2984/65.1.017 ip Agarkova IV, Vidaver AK, Postnikova EN, Riley IT, Schaad NW (2006) Genetic Char- acterization and Diversity of Rathayibacter toxicus. Phytopathology 96: 1270-1277. https://doi.org/10.1094/PHYTO-96-1270 10. Lib, 12; bh: 14. lier 16. iW 18. Eo, 20. PAK Global environmental and socio-economic impacts of selected alien grasses... 37 Aguiar FC, Ferreira MT, Albuquerque A, Bernez I (2005) Invasibility Patterns of Knot- grass (Paspalum distichum) in Portuguese Riparian Habitats. Weed Science Society of America and Allen Press Stable 19: 509-516. Ahmad R, Okada M (2006) Isolation, characterization, and evaluation of microsatel- lite loci for cultivar identification in the ornamental pampas grass Cortaderia selloana. Journal of American Society for Horticultural Science 131: 499-505. Alcantara R, Fernandez P, Smeda RJ, Alves PL, De Prado R (2016) Response of Eleusine indica and Paspalum distichum to glyphosate following repeated use in citrus groves Crop Protection 79: 1—7. https://doi.org/10.1016/j.cropro.2015.09.027 Allcock KG (2002) Effects of phosphorous on growth and competitve interactions of native and introduced species found in White Box woodlands. Austral Ecology 27: 638-646. Allen VG, Segarra E (2001) Anti-quality components in forage: Overview, significance, and economic impact. Journal of Range Management 54: 409-412. Almaghrabi OA (2012) Control of wild oat (Avena fatua) using some phenolic com- pounds I - Germination and some growth parameters. Saudi Journal of Biological Sci- ences 19: 17-24. https://doi.org/10.1016/j.sjbs.2011.07.005 An M, Pratley JE, Haig T (1997). Phytotoxicity of vulpia residues: I. Investigation of aqueous extracts. Journal of Chemical Ecology, 23(8), pp. 1979-1995. Andelkovi¢é AA, Zivkovié MM, Cvijanovié DL, Novkovi¢é MZ, Marisavljevi¢ DP, Pavlovié DM, Radulovié SB (2016) The contemporary records of aquatic plants inva- sion through the Danubian floodplain corridor in Serbia. Aquatic Invasions 11: 381- 395. https://doi.org/10.3391/ai.2016.11.4.04 Anderson SJ, Stone CP, Higashino PK (1992) Distribution and spread of alien plants in Kipahulu Valley, Haleakala National Park, Above 2,300 ft elevation. Alien plant inva- sions in native ecosystems of Hawaii: management and research. University of Hawaii Cooperative National Park Resources Studies Unit, Honolulu 31: 300-38. Andrivon D, De Vallavieille-Pope C (1992) Infection attempts of cultivated barley (Hor- deum vulgare) with isolates of Erysiphe graminis collected from Hordeum murinum in southwestern Europe. Mycological Research 96: 1029-1032. https://doi.org/10.1016/ S0953-7562(09)80111-1 Andtjar D, Ribeiro A, Fernandez-Quintanilla C, Dorado J (2013) Herbicide savings and economic benefits of several strategies to control Sorghum halepense in maize crops. Crop Protection 50: 17-23. https://doi.org/10.1016/j.cropro.2013.04.003 Ansari AA, Kihara TK, Marsh DG (1987) Immunochemical studies of Lolium per- enne (rye grass) pollen allergens, Lol p I, II, and IH. The Journal of Immunology 139: 4034-4041. Antony M, Shukla Y, Janardhanan KK (2003) Potential risk of acute hepatotoxicity of kodo poisoning due to exposure to cyclopiazonic acid. Journal of Ethnopharmacology 87: 211-214. https://doi.org/10.1016/S0378-8741(03)00146-6 Anza M, Epelde L, Artetxe U, Becerril JM, Garbisu C (2016) Control of Cortaderia selloana with a glyphosate-based herbicide led to a short-term stimulation of soil fun- gal communities. Environmental Monitoring and Assessment 188: 1-6. https://doi. org/10.1007/s10661-016-5649-9 38 by he 25% 24. 25 26. De 28. a 30. ll 32: 33: 34, Ba. Khensani V. Nkuna et al. / NeoBiota 41: 19-65 (2018) Arechavaleta M, Bacon CW, Plattner RD, Hoveland CS, Radcliffe DE (1992) Accumu- lation of ergopeptide alkaloids in symbiotic tall fescue grown under deficits of soil water and nitrogen fertilizer. Applied and Environmental Microbiology 58: 857-861. Arise RO, Igunnu A, Malomo SO (2011) Effect of administration of aqueous extract of Bambusa vulgaris leaves on some biochemical variables of rat liver and serum. Journal of Medicinal Plants 5: 1622-1626. Arriola PE, Ellstrand NC (1996) Crop-to-weed gene flow in the genus Sorghum (Poace- ae): spontaneous interspecific hybridization between johnsongrass, Sorghum halepense, and crop sorghum, S. bicolor. American Journal of Botany83: 1153-1159. Asay KH (1992) Breeding potentials in perennial Triticeae grasses. Hereditas 116: 167— 173. https://doi.org/10.1111/j.1601-5223.1992.tb00223.x Aslani MR, Pascoe I, Kowalski M, Michalewicz A, Retallick MAS, Colegate SM (2006) In vitro detection of hepatocytotoxic metabolites from Drechslera biseptata: A contrib- uting factor to acute bovine liver disease? Australian Journal of Experimental Agricul- ture 46: 599-604. https://doi.org/10.1071/EA05204 Assadi AM, Runemark H, Systematics SP, September N (2017) Hybridisation, genomic constitution and generic. 194: 189-205. Bacci B, Whiteley PL, Barrow M, Phillips PH, Dalziel J, El-Hage CM (2014) Chronic phalaris toxicity in eastern grey kangaroos (Macropus giganteus). Australian Veterinary Journal 92: 504—508. https://doi-org/10.1111/avj.12272 Bach T, Lam T, Iiyama K, Stone BA (1992) Cinnamic Acid Bridges Wheat and Between Cell Wall Polymers in Phalaris Internodes. Phytochemistry 31: 1179-1183. https://doi. org/10.1016/003 1-9422(92)80256-E Badgery WB, Kemp DR, Michalk DL, King WMCG (2005) Competition for nitrogen between Australian native grasses and the introduced weed Nassella trichotoma. Annals of Botany 96: 799-809. https://doi.org/10.1093/aob/mci230 Badgery WB, Kemp DR, Michalk DL, King WMG (2008) Studies of competition between Nassella trichotoma (Nees) Hack. ex Arechav. (serrated tussock) and native pas- tures. 2. Seedling responses. Australian Journal of Agricultural Research 59: 237-246. https://doi.org/10.1071/AR07113 Bakker EG, Montgomery B, Nguyen T, Eide K, Chang J, Mockler TC, Liston A, Sea- bloom EW, Borer ET (2009) Strong population structure characterizes weediness gene evolution in the invasive grass species Brachypodium distachyon. Molecular Ecology 18: 2588-2601. https://doi.org/10.1111/j.1365-294X.2009.04225.x Balch JK, Bradley BA, D’Antonio CM, Gémez-Dans J (2013) Introduced annual grass increases regional fire activity across the arid western USA (1980-2009). Global Change Biology 19: 173-183. https://doi.org/10.1111/gcb.12046 Ball DA, Frost SM, Fandrich L, Tarasoff C, Mallory-Smith C (2008) Biological attrib- utes of rattail fescue ( Vulpia myuros). Weed Science 56: 26-31. https://doi.org/10.1614/ WS-07-048.1 Barbosa JD, de Oliveira CMC, Duarte MD, Riet-Correa G, Peixoto PV, Tokarnia CH (2006) Poisoning of horses by bamboo, Bambusa vulgaris. Journal of Equine Veterinary Science 26: 393-398. https://doi.org/10.1016/j.jevs.2006.07.003 36. Oe 38. De 40. 41. 42. 43, 44, 45. 46. 47. 48. 49. 50. SL: Global environmental and socio-economic impacts of selected alien grasses... by Barnes TG, Madison LA, Sole JD, Lacki MJ (1973) An Assessment of Habitat Quality for Northern Bobwhite in Tall Fescue-Dominated Fields. Source: Wildlife Society Bul- letin 23: 231-237. Barratt MG Moore JC (1959) On semisimplicial fibre-bundles. American Journal of Mathematics, 81: 639-657. Barton NJ, McOrist S, McQueen DS, O’Connor PF (1983) Poisoning of cat- tle by Glyceria maxima. Australian Veterinary Journal 60: 220-221. https://doi. org/10.1111/j.1751-0813.1983.tb0959 1.x Bastow JL, Preisser EL, Strong DR (2008) Holcus lanatus invasion slows decomposition through its interaction with a macroinvertebrate detritivore, Porcellio scaber. Biological Invasions 10: 191-199. https://doi.org/10.1007/s10530-007-9122-0 Beatley JC (1966) Ecological status of introduced brome grasses (Bromus spp.) in desert vegetation of southern Nevada. Ecology 47: 548-554. Beckie HJ, Francis A, Hall LM (2012) The Biology of Canadian Weeds. 27. Avena fatua L. (updated). Canadian Journal of Plant Science 92: 1329-1357. https://doi. org/10.4141/cjps2012-005 Beckie HJ, Thomas AG, Legere A, Kelner DJ, Acker RCVAN, Meers S (1997) Nature, occurrence, and cost of Herbicide-Resistant Wild Oat (Avena fatua) in Small-Grain Production Areas. Weed Technology 13: 612-625. Bell G (1997) Ecology and management of Arundo donax, and approaches to riparian habitat restoration in Southern California. Plant Invasions: Studies from North America and Europe: 103-113. Bella S, D’Urso V (2012) First record in the Mediterranean basin of the alien leafhopper Balclutha brevis living on invasive Pennisetum setaceum. Bulletin of Insectology 65: 195-198. Bennett AE, Thomsen M, Strauss SY (2011) Multiple mechanisms enable invasive spe- cies to suppress native species1. American Journal of Botany 98: 1086-1094. https:// doi.org/10.3732/ajb.1000177 Berendse F, Elberse WT, Geerts RHME (1992) Competition and Nitrogen Loss from Plants in Grassland Ecosystems. Ecology 73: 46—53. https://doi.org/10.2307/1938719 Bertozzi T (2009) Zootaxa, Anguina paludicola sp. n. (Tylenchida: Anguinidae): The nematode associated. 46: 5326. Bertozzi IT, McKay AC (1995) Incidence on Polypogon Monspeliensis of Clavibacter Toxi- cus and Anguina sp., the Organisms Associated with ‘Flood Plain staggers’ in South Australia. Australian Journal of Experimental Agriculture 35: 567-569. https://doi. org/10.1071/EA9950567 Besr KF, BlurrNc, JD, Ir.ro Bowss GG (1978) The biology of Canadian weeds. 31. Hor- deum jubatum L. Can. J. plant Sci. 58: 699-708. Beyschlag W, Ryel RJ, Ullman I, Eckstein J (1996) Experimental studies on the com- petitive balance between two central european roadside grasses with different growth forms. Botanica Acta 109: 449-455. Beyschlag W, Ryel RJ, Ullmann I (1992) Experimental and Modelling Studies of Competition for Light in Roadside Grasses. Botanica Acta 105: 285-291. https://doi. org/10.1111/j.1438-8677.1992.tb00300.x 40 Sos DD) 54. De 56. Be ic TS pes 60. 61. 62. 63. 64. 65. 66. Khensani V. Nkuna et al. / NeoBiota 41: 19-65 (2018) Bhowmik PC, O”Toole BM, Andaloro J (1992) Effects of nicosulfuron on quackgrass (Elytrigia repens) control in corn (Zea mays). Weed Technology 6: 52-56. Biganzoli EK Larsen C, Rolhauser AG (2013) Range expansion and potential distribu- tion of the invasive grass Bromus tectorum in southern South America on the base of her- barium records. Journal of Arid Environments 97: 230-236. https://doi.org/10.1016/j. jaridenv.2013.07.006 Blackshaw RE, Semach G, Li X, Donovan JTO, Harker KN, Blackshaw RE, Semach G, Li X, Donovan JTO, Harker KN (2010) An Integrated Weed Management Approach to Man- aging Foxtail Barley (Hordeum jubatum) in Conservation Tillage Systems1. 13: 347-353. Blossey B, Notzold R (1995) Evolution of increased competitive ability in invasive non- indigenous plants: a hypothesis. Journal of Ecology 83: 887-889. Bodle, M (1998) Arundo the world in (at least) eighty ways. Wildland Weeds Vol. 1, Number 3. Boland JM (2006) the Importance of Layering in the Rapid Spread of Arun- do Donax (Giant Reed). Madrofo 53: 303-312. https://doi-org/10.3120/0024- 9637(2006)53[303: TIOLIT]2.0.CO;2 Boose, Holt (1999) Environmental effects on asexual reproduction in Arundo donax. Weed Research 39: 117-127. https://doi.org/10.1046/j.1365-3180.1999.00129.x Borger CPD, Michael PJ, Mandel R, Hashem A, Bowran D, Renton M (2012) Linking field and farmer surveys to determine the most important changes to weed incidence. Weed Research 52: 564-574. https://doi.org/10.1111/j.1365-3180.2012.00950.x Boshoff WHP (2002) Establishment, distribution, and pathogenicity of Puccinia strii- formis f. sp. tritici in South Africa. The American Phytopathological Society 86: 485— 492. https://doi.org/10.1094/PDIS.2002.86.5.485 Bourdét GW, Hurrell GA, Saville DJ (1992) Eradication of nassella tussock (Nassella trichotoma), an unlikely outcome of grubbing. New Zealand Journal of Agricultural Research 35: 245-252. https://doi.org/10.1080/00288233.1992.10427501 Bourdét GW, Saville DJ (2016) Nassella trichotoma in modified tussock grasslands in New Zealand: a case study in landscape-scale invasive plant population monitoring. Weed Research 56: 395—406. https://doi.org/10.1111/wre.12221 Bourke CA, Colegate SM, Rendell D, Bunker EC, Kuhn RP (2005) Peracute ammonia toxicity: A consideration in the pathogenesis of Phalaris aquatica ‘Polioencephalomalacia- like sudden death’poisoning of sheep and cattle. Australian veterinary journal 83: 168-171. Bourke CA, Hunt E, Watson R (2009) Fescue-associated oedema of horses grazing on endophyte-inoculated tall fescue grass (Festuca arundinacea) pastures. Australian Veteri- nary Journal 87: 492-498. https://doi.org/10.1111/j.1751-0813.2009.00519.x Bourke CA, Rendell D, Colegate SM (2003) Clinical observations and differentiation of the peracute Phalaris aquatica poisoning syndrome in sheep known as Polioencepha- lo-malacia-like sudden death’. Australian veterinary journal 81: 698-700. Bowers JE, Bean TM, Turner RM (2006) Two decades of change in distribution of exotic plants at the desert laboratory, Tucson, Arizona. Madrofo 53: 252-263. https:// doi.org/10.3120/0024-9637(2006)53[252:TDOCID]2.0.CO;2 67. 68. 69. 70. Alo ae Te2 74, 75. 70. bE ES To: 80. Global environmental and socio-economic impacts of selected alien grasses... 4] Bradshaw, A.D., 1958. Natural Hybridization of Agrostis tenuis Sibth. and A. stolonif- era L. New Phytologist, 57(1), pp. 66-84. Brandseter LO, Fogelfors H, Fykse H, Graglia E, Jensen RK, Melander B, Salonen J, Vanhala P (2010) Seasonal restrictions of bud growth on roots of Cirsium arvense and Sonchus arvensis and rhizomes of Elymus repens. Weed Research 50: 102-109. https:// doi.org/10.1111/j.1365-3180.2009.00756.x Bridges DC, Chandler JM (1987) Influence of johnsongrass (Sorghum halepense) den- sity and period of competition on cotton yield. Weed Science 35: 63-67. Brosnan JT, Henry GM, Breeden GK, Cooper T, Serensits TJ (2013) Methiozolin Ef- ficacy for Annual Bluegrass (Poa annua) Control on Sand- and Soil-Based Creeping Bentgrass Putting Greens. Weed Technology 27: 310-316. https://doi.org/10.1614/ WT-D-12-00123.1 Brown DE Minnich RA (986) Fire and changes in creosote bush scrub of the western Sonoran Desert, California. American Midland Naturalist 116: 411-422. Brown HB (1916) Life History and Poisonous Properties of Claviceps Paspali. Journal of Agricultural Research 7: 401-407. Campbell MH, Murison RD (1985) Effect of mixtures of tetrapion and 2, 2-DPA on the control of serrated tussock (Nassella trichotoma). Australian journal of experimental agriculture 25: 672-6. Casto G (2017) Burrowing herbivore, precipitation, and plant community ef- fects on invasive grass germination). Undergraduate Honors ‘Theses. University of Colorado, Boulder. Availbable from: https://scholar.colorado.edu/cgi/viewcontent. cgi?article=2685 &context=honr_theses (January 20, 2018). Cawdell-Smith AJ, Scrivener CJ, Bryden WL (2010) Staggers in horses grazing pas- palum infected with Claviceps paspali. Australian Veterinary Journal 88: 393-395. htt- ps://doi.org/10.1111/j.1751-0813.2010.00624.x Cheeke PR (1995) Endogenous toxins and mycotoxins in forage grasses and their effects on livestock. Journal of animal science 73: 909-918. https://doi. org/10.2527/1995.733909x Chown SL, Huiskes AHL, Gremmen NJM, Lee JE, Terauds A, Crosbie K, Frenot Y, Hughes KA, Imura S, Kiefer K, Lebouvier M, Raymond B, Tsujimoto M, Ware C, Van de Vijver B, Bergstrom DM (2012) Continent-wide risk assessment for the establish- ment of nonindigenous species in Antarctica. Proceedings of the National Academy of Sciences 109: 4938-4943. https://doi.org/10.1073/pnas. 1119787109 Coffman GC, Ambrose RE, Rundel PW (2010) Wildfire promotes dominance of inva- sive giant reed (Arundo donax) in riparian ecosystems. Biological Invasions 12: 2723— 2734. https://doi.org/10.1007/s10530-009-9677-z Colegate SMA (2006) In vitro detection of hepatocytotoxic metabolites from Drechslera biseptata: a contributing factor to acute bovine liver disease? Australian Journal of Ex- perimental Agriculture 46: 599-604. Connor HE (1983) Cortaderia (Gramineae): Interspecific hybrids and the breeding system. Heredity, 51(1), pp. 395-403. 42 81. 82. 83. 84. 8). 86. 87. 88. 89. 90. 91. 92. ree Khensani V. Nkuna et al. / NeoBiota 41: 19-65 (2018) Cordell S, Sandquist DR (2008) The impact of an invasive African bunchgrass (Pen- nisetum setaceum) on water availability and productivity of canopy trees within a tropi- cal dry forest in Hawaii. Functional Ecology 22: 1008-1017. https://doi.org/10.1111/ j.1365-2435.2008.01471.x Costas-Lippmann M (1979) Embryogeny of Cortaderia selloana and C. jubata (Gramineae). Botanical gazette, 140: 393-397. Cowan TF, Sindel BM, Jessop RS, Browning JE (2007) Mapping the distribution and spread of Nassella trichotoma (serrated tussock) with a view to improving detectability, containment and eradication. Crop Protection 26: 228-231. https://doi.org/10.1016/j. cropro.2006.01.018 Crous PW, Wingfield MJ, Le Roux JJ, Richardson DM, Strasberg D, Shivas RG, Alva- rado P, Edwards J, Moreno G, Sharma R, Sonawane MS, Tan YP, Altés A, Barasubiye T, Barnes CW, Blanchette RA, Boertmann D, Bogo A, Carlavilla JR, Cheewangkoon R, Daniel R, Novakova A, Oberlies NH, Otto EC, Paguigan ND, Pascoe IG (2015) Fun- gal Planet description sheets: 371 — 399. Persoonia: Molecular Phylogeny and Evolution of Fungi, 35, 264. Crow W, Luc J, Sekora N, Pang W (2013) Interaction Between Belonolaimus longicauda- tus and Helicotylenchus pseudorobustus on Bermudagrass and Seashore Paspalum Hosts. Csurhes S, Markula A (2009) Weed risk assessment. Giant Reed Arundo donax. Bris- bane: Department of Employment, Economic Development and Innovation. Cudney DW, Jordan LS, Hall AE (1991) Effect of wild oat (Avena fatua) infestations on light interception and growth rate of wheat ( Triticum aestivum). Weed Science 39: 175-179. Cuevas L, Niemeyer HM (1993) Effect of hydroxamic acids from cereals on aphid cholinesterases. Phytochemistry 34: 983-985. https://doi.org/10.1016/S0031- 9422(00)90698-8 Culvenor RAA, Reed KFMB, Mcdonald SEA (2005) Comparative levels of dimeth- yltryptamine- and tyramine-related alkaloid toxins in Australian cultivars and some wild populations of Phalaris aquatica. Australian Journal of Agricultural Research, 56: 1395-1403. Curtis CA, Bradley BA (2015) Climate change may alter both establishment and high abundance of Red Brome (Bromus rubens) and African Mustard (Brassica tournefortii) in the semiarid Southwest United States. Invasive Plant Science and Management 8: 341-352. https://doi.org/10.1614/IPSM-D-14-00040. 1 Cutulle MA, Derr JE, McCall D, Horvath B, Nichols AD (2013) Impact of hybrid bluegrass and tall fescue seeding combinations on brown patch severity and weed en- croachment. HortScience 48: 493-500. Daehler CC (2003) Performance comparisons of co-occurring native and alien in- vasive plants: implications for conservation and restoration. Annual Review of Ecol- ogy, Evolution, and Systematics, 34: 183-211. https://doi.org/10.1146/annurev.ecol- sys.34.011802.132403 Davies JM (2014) Grass pollen allergens globally: The contribution of subtropical grasses to burden of allergic respiratory diseases. Clinical and Experimental Allergy 44: 790-801. https://doi.org/10.1111/cea.12317 94, Sep 96. a7. 98. D2: 100. 101. 102. 103. 104. 105. 106. Lox. Global environmental and socio-economic impacts of selected alien grasses... 43 Davies JM, Bright ML, Rolland JM, O’Hehir RE (2005) Bahia grass pollen specific IgE is common in seasonal rhinitis patients but has limited cross-reactivity with Ryegrass. Allergy: European Journal of Allergy and Clinical Immunology 60: 251-255. https:// doi.org/10.1111/j.1398-9995.2005.00663.x Davies JM, Li H, Green M, Towers M, Upham JW (2012) Subtropical grass pollen al- lergens are important for allergic respiratory diseases in subtropical regions. Clinical and Translational Allergy 2: 4. https://doi.org/10.1186/2045-7022-2-4 Davies JM, Mittag D, Dang TD, Symons K, Voskamp A, Rolland JM, O’Hehir RE (2008) Molecular cloning, expression and immunological characterisation of Pas n 1, the major allergen of Bahia grass Paspalum notatum pollen. Molecular Immunology 46: 286-293. https://doi.org/10.1016/j.molimm.2008.08.267 Davies KW, Nafus AM (2013) Exotic annual grass invasion alters fuel amounts, con- tinuity and moisture content. International Journal of Wildland Fire 22: 353-358. https://doi.org/10.1071/WF11161 Davies LJ, Cohen D (1992) Phenotypic variation in somaclones of Paspalum dilatatum and their seedling offspring. Canadian Journal of Plant Science 72: 773-784. https:// doi.org/10.4141/cjps92-093 De Bertoldi C, De Leo M, Ercoli L, Braca A (2012) Chemical profile of Festuca arun- dinacea extract showing allelochemical activity. Chemoecology 22: 13-21. https://doi. org/10.1007/s00049-0 1 1-0092-4 De Bustos A, Cuadrado A, Soler C, Jouve N (1996) Physical mapping of repetitive DNA sequences and 5S and 18S-26S rDNA in five wild species of the genus Hordeum. Chromosome Research 4: 491-499. https://doi.org/10.1007/BF02261776 De Falco LA, Fernandez GCJ, Nowak RS (2007) Variation in the establishment of a non-native annual grass influences competitive interactions with Mojave Desert peren- nials. Biological Invasions 9: 293-307. https://doi.org/10.1007/s10530-006-9033-5 De Sousa Moreira PF, Gangl K, De Assis Machado Vieira EK Ynoue LH, Linhart B, Flicker S, Fiebig H, Swoboda I, Focke-Tejkl M, Taketomi EA, Valenta R, Niederberger V (2015) Allergen microarray indicates Pooideae sensitization in Brazilian grass pollen allergic patients. PLoS ONE 10: 1-13. https://doi-org/10.137 1/journal.pone.0128402 Denne T (1988) Economics of nassella tussock (WVassella trichotoma) control in New Zealand. Agriculture, ecosystems & environment 20: 259-278. Dhima KV, Eleftherohorinos IG, Vasilakoglou IB (2000) Interference between Avena sterilis, Phalaris minor and five barley cultivars. Weed Research 40: 549-559. DiTomaso JM, Drewitz JJ, Kyser GB (2008) Jubatagrass (Cortaderia Jubata) Control Using Chemical and Mechanical Methods. Invasive Plant Science and Management 1: 82-90. https://doi.org/10.1614/IPSM-07-028 Doménech R, Vila M (2007) Cortaderia selloana invasion across a Mediterranean coast- al strip. Acta Oecologica 32: 255-261. https://doi.org/10.1016/j.actao.2007.05.006 Domeénech R, Vila M, Gesti J, Serrasolses I (2006) Neighbourhood association of Cor- taderia selloana invasion, soil properties and plant community structure in Mediter- ranean coastal grasslands. Acta Oecologica 29: 171-177. https://doi.org/10.1016/j. actao.2005.09.004 44 108. 109. PEO: EEL 112, 113. 114. Li, 116. LZ. 118. 119. 120. PDL, 122, Khensani V. Nkuna et al. / NeoBiota 41: 19-65 (2018) Domenech R, Vila M, Pino J, Gesti J (2005) Historical land-use legacy and Cortaderia selloana invasion in the Mediterranean region. Global Change Biology 11: 1054-1064. https://doi.org/10.1111/j.1365-2486.2005.00965.x Donald WW (1988) Established foxtail barley, Hordeum jubatum, control with glypho- sate plus ammonium sulfate. Weed Technology 2: 364-368. Donald WW (1990) Primary tillage for foxtail barley (Hordeum jubatum) control. Weed Technology 4: 318-321. Dostalek J, Frantik T (2011) The impact of different grazing periods in dry grasslands on the expansive grass Arrhenatherum elatius L. and on woody species. Environmental Management 49: 855-861. https://doi.org/10.1007/s00267-012-9819-4 Dowling PM, Leys AR, Verbeek B, Millar GD, Lemerle D, Nicol HI (2004) Effect of annual pasture composition, plant density, soil fertility and drought on vulpia (Vulpia bromoides (L.) S.E. Gray). Australian Journal of Agricultural Research 55: 1097-1107. https://doi.org/10.1071/AR04032 Drake KK, Bowen L, Nussear KE, Esque TC, Berger AJ, Custer NA, Waters SC, John- son JD, Miles AK, Lewison RL (2016) Negative impacts of invasive plants on conserva- tion of sensitive desert wildlife. Ecosphere 7: 1-20. https://doi.org/10.1002/ecs2.1531 Drewitz JJ, Ditomaso JM, Drewitz JJ (2017) Seed Biology of Jubatagrass (Cortaderia jubata) Published by: Weed Science Society of America Seed biology of jubatagrass (Cortaderia jubata). 52: 525-530. Eberwine Jr JW, Hagood Jr ES, Tolin, SA (1998) Quantification of viral disease inci- dence in corn (Zea mays) as affected by johnsongrass (Sorghum halepense) control. Weed technology 12: 121-127. Eberwine JW, Hagood ES (1995) Effect of johnsongrass (Sorghum halepense) control on the severity of virus diseases of corn (Zea mays). Weed technology 9: 73-79. Edgar JA (1994) Toxins in temperate grasses-implications and solutions. New Zealand Journal of Agricultural Research 37: 341-347. https://doi.org/10.1080/00288233.199 4.9513072 Emam TM, Espeland EK, Rinella MJ (2014) Soil sterilization alters interactions be- tween the native grass Bouteloua gracilis and invasive Bromus tectorum. Journal of Arid Environments 111: 91-97. https://doi.org/10.1016/j.jaridenv.2014.08.006 Evans RM, Thill DC, Tapia L, Shafi B, Lish JM (1991) Wild oat (Avena fatua) and spring barley (Hordeum vulgare) density affect spring barley grain yield. Weed Technol- ogy 5: 33-39. Everitt JH, Yang C, Deloach CJ (2006) Remote Sensing of Giant Reed with QuickBird Satellite Imagery. Journal of Aquatic Plant Management 43: 81-85. Evetts LL, Burnside OC (1975) Effect of early competition on growth of common milkweed. Weed Science 23: 1-3. Eytcheson A (2011) Field sandbur (Cenchrus spinifex) control and bermudagrass (Cy- nodon dactylon) response to herbicide and nitrogen fertilizer treatments. PhD thesis. Oklahoma State University. Aavailable from: https://shareok.org/handle/11244/9323 (April 12, 2017). Pas 124. 12.9: 126. es: 128. 129, 130. 131. 132. 133. 134. 135: 136. 137. Global environmental and socio-economic impacts of selected alien grasses... 45 Fahleson J, Okori P, Akerblom-Espeby L, Dixelius C (2008) Genetic variability and genomic divergence of Elymus repens and related species. Plant Systematics and Evolu- tion 271: 143-156. https://doi.org/10.1007/s00606-007-0623-1 Falloon RE (1976) Effect of infection by Ustilago bullata on vegetative growth of Bro- mus catharticus. New Zealand Journal of Agricultural Research 19: 249-254. https:// doi.org/10.1080/00288233.1976.10426774 Fausey JC, Renner KA (1997) Germination, emergence, and growth of giant foxtail (Se- taria faberi) and fall panicum (Panicum dichotomiflorum). Weed Science 45: 423-425. https://doi.org/10.1614/WS-06-139.1 Figueroa M, Alderman S, Garvin DE, Pfender WF (2013) Infection of Brachypodi- um distachyon by Formae Speciales of Puccinia graminis: Early Infection Events and Host-Pathogen Incompatibility. PLoS ONE 8: 1-9. https://doi.org/10.1371/journal. pone.0056857 Fleming TR, Maule AG, Martin T, Hainon-McDowell M, Entwistle K, McClure MA, Fleming CC (2015) A first report of Anguina pacificae in Ireland. Journal of Nematol- ogy 47: 97-104. Flint JL, Barrett M (1989) Antagonism of glyphosate toxicity to johnsongrass (Sorghum halepense) by 2, 4-D and dicamba. Weed Science, 37: 700-705. Follak S, Essl F (2013) Spread dynamics and agricultural impact of Sorghum halepense, an emerging invasive species in Central Europe. Weed Research 53: 53-60. https://doi. org/10.1111/}.1365-3180.2012.00952.x Francis J (1993) Bambusa Vulgaris Schrad Ex Wendl: Common Bamboo: Gramineae. US Department of Agriculture, Forest Service, International Institute of Tropical Forestry. Freckleton RP, Watkinson AR, Dowling PM, Leys AR (2000) Determinants of the abun- dance of invasive annual weeds: community structure and non-equilibrium dynamics. Proceedings of the Royal Society of London B: Biological Sciences 267: 1153-1161. Frey L (2010) Grasses in Poland: invincible but threatened. Biodiversity: Research and Conservation 19: 93-102. https://doi.org/10.2478/v10119-010-0025-z Fu R, Ashley RA (2006) Interference of large crabgrass (Digitaria sanguinalis), redroot pigweed (Amaranthus retroflexus), and hairy galinsoga (Galinsoga ciliata) with bell pep- per. Weed Science 54: 364-372. Gill GS, Bowran DG (1990) Tolerance of wheat cultivars to metribuzin and implica- tions for the control of Bromus diandrus and B. rigidus in Western Australia. Australian Journal of Experimental Agriculture 30: 373-378. https://doi.org/10.1071/EA9900373 Gleichsner JA, Appleby AP (1996) Effects of vernalization on flowering in ripgut brome (Bromus diandrus). Weed science 44: 57-62. Goergen E, Daehler CC (2001) Reproductive ecology of a native Hawaiian grass (Het- eropogon contortus; Poaceae) versus its invasive alien competitor (Pennisetum setaceum; Poaceae). International Journal of Plant Sciences 162: 317-326. Golder HM, Moss N, Rogers G, Jackson B, Gannon N, Wong PTW, Lean JJ (2017) Acute photosensitisation and mortality in a herd of dairy cattle in Tasmania. New Zea- land Veterinary Journal 65: 39-45. https://doi.org/10.1080/00480169.2016.1232181 46 138. 139. 140. 141. 142. 143. 144. 145. 146. 147. 148. 149. 150. 151. Khensani V. Nkuna et al. / NeoBiota 41: 19-65 (2018) Gondo T, Tsuruta SI, Akashi R, Kawamura O, Hoffmann F (2005) Green, herbi- cide-resistant plants by particle inflow gun-mediated gene transfer to diploid bahia- grass (Paspalum notatum). Journal of Plant Physiology 162: 1367-1375. https://doi. org/10.1016/j.jplph.2005.03.005 Gonzalez-Rodriguez AM, Baruch Z, Palomo D, Cruz-Trujillo G, Jiménez MS, Morales D (2010) Ecophysiology of the invader Pennisetum setaceum and three native grasses in the Ca- nary Islands. Acta Oecologica 36: 248-254. https://doi.org/10.1016/j.actao.2010.01.004 Goolsby JA, Moran P (2009) Host range of Tetramesa romana Walker (Hymenop- tera: Eurytomidae), a potential biological control of giant reed, Arundo donax L. in North America. Biological Control 49: 160-168. https://doi.org/10.1016/j.biocon- trol.2009.01.019 Graham S (2013) Three cooperative pathways to solving a collective weed management problem. Australasian Journal of Environmental Management 20: 116-129. https:// doi.org/10.1080/14486563.2013.774681 Graham S (2014) A new perspective on the trust power nexus from rural Australia. Journal of Rural Studies 36: 87-98. https://doi.org/10.1016/j.jrurstud.2014.06.010 Gremmen NJM, Chown SL, Marshall DJ (1998) Impact of the introduced grass Agrostis stolonifera on vegetation and soil fauna communities at Marion Island, sub-Antarctic. Bio- logical Conservation 85: 223-231. https://doi.org/10.1016/S0006-3207(97)00178-X Grifhin JL, Miller DK, Salassi ME (2006) Johnsongrass (Sorghum halepense) control and economics of using glyphosate-resistant soybean in fallowed sugarcane fields. Weed technology 20: 980-985. Griffith A, Loik M (2010) Effects of climate and snow depth on Bromus tectorum popu- lation dynamics at high elevation. Oecologia 164: 821-832. https://doi.org/10.1007/ S00442-01 Grubb PJ (1982) Control of relative abundance in roadside Arrhenatheretum: results of a long-term garden experiment. The Journal of Ecology 70: 845-861. Guérin-Marchand C, Sénéchal H, Bouin AP, Leduc-Brodard V, Taudou G, Weyer A, Peltre G, David B (1996) Cloning, sequencing and immunological characterization of Dac g 3, a major allergen from Dactylis glomerata pollen. Molecular immunology 33: 797-806. Gunes E, Uludag A, Uremis I (2008) Economic impact of Johnsongrass (Sorghum ha- lepense [L.] Pers.) in cotton production in Turkey. Journal of Plant Diseases and Proctec- tion, Supplement: 515-520. Guthrie G (2007) Impacts of the invasive reed Arundo donax on biodiversity at the com- munity-ecosystem level. MSc Thesis. University of the Western Cape.Available from: http://etd.uwc.ac.za/handle/11394/2313 (April 23, 2017). Hadfield J, Martin DP, Stainton D, Kraberger S, Owor BE, Shepherd DN, Lakay F Markham PG, Greber RS, Briddon RW, Varsani A (2011) Bromus catharticus striate mosaic virus: A new mastrevirus infecting Bromus catharticus from Australia. Archives of Virology 156: 335-341. https://doi.org/10.1007/s00705-010-0872-0 Hashem A, Radosevich SR, Dick R (2000) Competition Effects on Yield, Tissue Ni- trogen, and Germination of Winter Wheat (Triticum aestivum) and Italian Ryegrass L32: lise 154. 155. 156. La 158. 159; 160. 161. 162. 163. 164. 165. Global environmental and socio-economic impacts of selected alien grasses... 47 (Lolium multiflorum) Competition Effects on Yield, Tissue Nitrogen, and Germination of Winter Wheat (Triticum aestivum) and I. Weed Science 14: 718-725. Hassan M, Sirlova L, Vacke J (2014) Tall oatgrass mosaic virus (TOgMV): A novel member of the genus Tritimovirus infecting Arrhenatherum elatius. Archives of Virology 159: 1585-1592. https://doi.org/10.1007/s00705-013-1905-2 Hendrickson JR, Lund C (2010) Plant community and target species affect responses to restoration strategies. Rangeland Ecology & Management 63: 435-442. Henry G, Burton J, Richardson R, Yelverton F (2008) Absorption and Translocation of Foramsulfuron in Dallisgrass (Paspalum dilatatum) Following Preapplication of MSMA. Weed Science 56: 785-788. https://doi.org/10.1614/WS-08-035. 1 Henry GM, Burton MG, Yelverton FH (2009) Heterogeneous distribution of weedy paspalum species and edaphic variables in turfgrass. HortScience 44: 447-451. Henry GM, Yelverton FH, Burton MG (2007) Dallisgrass (Paspalum Dilatatum) Con- trol with Foramsulfuron in Bermudagrass Turf. Weed Technology 21: 759-762. https:// doi.org/10.1614/WT-06-163.1 Herget ME, Hufford KM, Mummey DL, Mealor BA, Shreading LN (2015) Effects of competition with Bromus tectorum on early establishment of Poa secunda accessions: Can seed source impact restoration success? Restoration Ecology 23: 277-283. https:// doi.org/10.1111/rec.12177 Herrera LP, Laterra P (2009) Do seed and microsite limitation interact with seed size in determining invasion patterns in flooding Pampa grasslands? Herbaceous Plant Ecol- ogy: Recent Advances in Plant Ecology: 93-105. https://doi.org/10.1007/978-90-48 1- 2798-6_8 Hoskins AJ, Young BG, Krausz RF Russin JS (2005) Control of Italian ryegrass (Lolium multiflorum) in winter wheat. Weed technology 19: 261-265. Houliston GJ, Goeke DF (2017) Cortaderia spp. In New Zealand: Patterns of genetic variation in two widespread invasive species. New Zealand Journal of Ecology 41: 107— 112. https://doi.org/10.20417/nzjecol.41.13 Hsiao YH, Chen C, Willemse T (2016) Allergen sensitization patterns of allergic dogs: IgE-microarray analysis. Thai Journal of Veterinary Medicine 46: 235-242. Huang Y, Kaminski JE, Landschoot PJ (2015) Regulation with Trinexapac-ethyl and Dew Removal at the Time of Fungicide Application Did Not Influence Dollar Spot Control. HortScience 50: 496—500. Huxman TE, Hamerlynck EP Smith SD (1999) Reproductive allocation and seed production in Bromus madritensis ssp. rubens at elevated atmospheric CO,. Functional Ecology 13: 769-777. Ivany JA (1978). Effects of quack grass competition on silage corn yield. Canadian Journal of Plant Science 58: 539-542. James A, Brown R, Basse B, Bourdét GW, Lamoureaux SL, Roberts M, Saville DJ (2011) Application of a spatial meta-population model with stochastic parameters to the management of the invasive grass Nassella trichotoma in North Canterbury, New Zealand. Ecological Modelling 222: 1030-1037. https://doi.org/10.1016/j.ecolmo- del.2010.11.031 48 166. 167. 168. 169. 170. ee We 7S, 174. LAS: 176. LZ7: 178. 79s Khensani V. Nkuna et al. / NeoBiota 41: 19-65 (2018) Johnson BJ (1979) Bahiagrass (Paspalum notatum) and common lespedeza (Lespedeza striata) control with herbicides in centipedegrass (Eremochloa ophiuroides). Weed Sci- ence 27: 346-348. Johnson WG, Frans RE, Parsch LD (1991) Economics of johnsongrass (Sorghum ha- lepense) control in soybeans (Glycine max). Weed Technology 5: 765-770. Johnston DJ, Reverter A, Robinson DL, Ferguson DM (2001) Sources of variation in mechanical shear force measures of tenderness in beef from tropically adapted genotypes, effects of data editing and their implications for genetic parameter estimation. Australian Journal of Experimental Agriculture 41: 991-996. https://doi.org/10.1071/EA97 144 Jones LJ, Ostoja SM, Brooks ML, Hutten M (2015) Short-term Response of Hol- cus lanatus L. (Common Velvetgrass) to Chemical and Manual Control at Yosemite Na- tional Park, USA. Invasive Plant Science and Management 8: 262-268. https://doi. org/10.1614/IPSM-D-14-00060. 1 Jones MA, Christians NE (2007) Mesotrione controls creeping bentgrass (Agros- tis stolonifera) in Kentucky bluegrass. Weed Technology 21: 402-405. https://doi. org/10.1614/WT-05-181.1 Jones RE, Vere DT, Campbell MH (2000) The external costs of pasture weed spread: An economic assessment of serrated tussock control. Agricultural Economics 22: 91-103. https://doi.org/10.1016/S0169-5150(99)00043-2 Josic D, Delic D, Rasulic N, Stajkovic O, Kuzmanovic D, Stanojkovic A, Pivic R (2012) Indigenous pseudomonads from rhizosphere of maize grown on pseudogley soil in ser- bia. Bulgarian Journal of Agricultural Science 18: 197-206. https://doi.org/10.1007/sl Juan VE, Monterroso L, Sacido MB, Cauhepe MA (2000) Postburning Legume Seed- ing in the Flooding Pampas, Argentina. Society for Range Management 53: 300-304. https://doi.org/10.2111/RANGELANDS-D-10-00090.1 Jurand BS, Abella SR (2013) Soil seed banks of the exotic annual grass bromus rubens on a burned desert landscape. Rangeland Ecology and Management 66: 157-163. htt- ps://doi.org/10.2111/REM-D-12-00106.1 Jurand BS, Abella SR, Suazo AA (2013) Soil seed bank longevity of the exotic annual grass Bromus rubens in the Mojave Desert, USA. Journal of Arid Environments 94: 68-75. https://doi.org/10.1016/j.jaridenv.2013.03.006 Kammerer SJ, Burpee LL, Harmon PF (2011) Identification of a New Waitea circinata Variety Causing Basal Leaf Blight of Seashore Paspalum. Plant Disease 95: 515-522. https://doi.org/10.1094/PDIS-03-10-0204 Kant R, Paulin L, Alatalo E, de Vos W m, Palva A (2011) Genome sequence of Lact- tobacillus amylovorus GRL1118, isolated from pig ileum. Journal of bacteriology 193: 3147-3148. https://doi.org/10.1111/j.1751 Kavak H (2003) First record of leaf scald caused by Rhynchosporium secalis in a natural population of Hordeum vulgare ssp. spontaneum in Turkey. Plant Pathology 52: 805. https://doi.org/10.1111/j.1365-3059.2003.00914.x Kavak H (2004) First record of spot blotch caused by Bipolaris sorokiniana on Hordeum murinum in Turkey. Canadian Journal of Plant Pathology 26: 205-206. https://doi. org/10.1080/07060660409507133 180. 181. 182. 183. 184. 185. 186. 187. 188. 189. 190. it. per 193. Global environmental and socio-economic impacts of selected alien grasses... 49 Kavanagh VB, Hall LM, Hall JC (2010) Potential hybridization of genetically engi- neered triticale with wild and weedy relatives in Canada. Crop Science 50: 1128-1140. https://doi.org/10.2135/cropsci2009.11.0644 Khan MA, Stace C a. (1999) Breeding relationships in the genus Brachypo- dium (Poaceae: Pooideae). Nordic Journal of Botany 19: 257-269. https://doi. org/10.1111/j.1756-1051.1999.tb01108.x Kiecana I, Cegielko M, Mielniczuk E, Pastucha A (2014) Fungi infecting ornamental grasses and the pathogenicity of Fusarium culmorum (WG Sm.) Sacc. and Fusarium equiseti (Corda) Sacc. to selected species. Acta Scientiarum Polonorum. Hortorum Cultus, 13: 61-75. King SR, Hagood Jr ES (2003) The effect of johnsongrass (Sorghum halepense) control method on the incidence and severity of virus diseases in glyphosate-tolerant corn (Zea mays). Weed technology 17: 503-508. Kisaka H, Kisaka M, Kanno A, Kameya T (1998) Intergeneric somatic hybridization of tice (Oryza sativa L.) and barley (Hordeum vulgare L.) by protoplast fusion. Plant cell reports 17: 362-367. Kleemann SGL, Boutsalis P, Gill GS, Preston C (2016) Applications of pre-emergent pyroxasulfone, flufenacet and their mixtures with triallate for the control of Bromus di- andrus (ripgut brome) in no-till wheat (Triticum aestivum) crops of southern Australia. Crop Protection 80: 144-148. https://doi.org/10.1016/j.cropro.2015.11.010 Kleemann SGL, Gill GS (2006) Differences in the distribution and seed germination behaviour of populations of Bromus rigidus and Bromus diandrus in South Australia: Adaptations to habitat and implications for weed management. Australian Journal of Agricultural Research 57: 213-219. https://doi.org/10.1071/AR05200 Kleemann SGL, Gill GS (2008) Applications of Metribuzin for The Control of Rigid Brome (Bromus rigidus) in No-Till Barley Crops of Southern Australia. Weed Technol- ogy 22: 34-37. https://doi.org/10.1614/WT-07-017.1 Kleemann SGL, Gill GS (2009) Population ecology and management of rigid brome (Bromus rigidus) in Australian cropping systems. Weed Science 57: 202-207. https:// doi.org/10.1614/WS-08-121.1 Kleemann SGL, Gill GS (2009) The role of imidazolinone herbicides for the control of Bromus rigidus (rigid brome) in wheat in southern Australia. Crop Protection 28: 913-916. https://doi.org/10.1016/j.cropro.2009.07.005 Klepeis P, Gill N, Chisholm L (2009) Emerging amenity landscapes: Invasive weeds and land subdivision in rural Australia. Land Use Policy 26: 380-392. https://doi. org/10.1016/j.landusepol.2008.04.006 Kloppers, FE. J., & Pretorius, Z. A. (1993). Bromus catharticus: a new host record for wheat stem rust in South Africa. Plant Disease, 77(10). Knapp PA (1996) Cheatgrass (Bromus tectorum L) dominance in the Great Basin Desert: history, persistence, and influences to human activities. Global environmental change, 6(1), pp. 37-52. Kopecky D, Loureiro J, Zwierzykowski Z, Ghesquiére M, Dolezel J (2006) Genome constitution and evolution in Lolium x Festuca hybrid cultivars (Festulolium). Theoret- ical and Applied Genetics 113: 731-742. https://doi.org/10.1007/s00122-006-0341-z 50 194. 195. 196. 197. 198. 19. 200. 201. 202; 203. 204. 205. 206. Khensani V. Nkuna et al. / NeoBiota 41: 19-65 (2018) Kosmala A, Zwierzykowska E, Zwierzykowski Z (2006) Chromosome pairing in trip- loid intergeneric hybrids of Festuca pratensis with Lolium multiflorum, revealed by GISH. Journal of applied genetics 47: 215-220. https://doi.org/10.1007/BF03194626 Kostromytska OS, Koppenhéfer AM (2016) Responses of Poa annua and three bent- grass species (Agrostis spp.) to adult and larval feeding of annual bluegrass weevil, Lis- tronotus maculicollis (Coleoptera: Curculionidae). Bulletin of Entomological Research 106: 729-739. https://doi.org/10.1017/S00074853 16000468 Kulik MM, Dery PD (1995) The Infection of Festuca arundinacea by Puccinia graminis subsp. graminicola. Journal of Phytopathology 143: 53-58. https://doi. org/10.1111/j.1439-0434.1995.tb00200.x Laffan SW (2006) Assessing regional scale weed distributions, with an Australian exam- ple using Nassella trichotoma. Weed Research 46: 194-206. Lambrinos JG (2000) The impact of the invasive alien grass Cortaderia jubata (Lem- oine) Stapf on an endangered mediterranean-type shrubland in California. Diversity and Distributions 6: 217-231. https://doi.org/10.1046/j.1472-4642.2000.00086.x Lamoureaux SL, Basse B, Bourdét GW, Saville DJ (2015) Comparison of manage- ment strategies for controlling Nassella trichotoma in modified tussock grasslands in New Zealand: A spatial and economic analysis. Weed Research 55: 449-460. https:// doi.org/10.1111/wre.12158 Lamoureaux SL, Bourdét GW, Saville DJ (2011) Population growth of Nassella tricho- toma in grasslands in New Zealand slower today than in the past. Acta Ocecologica 37: 484-494. https://doi.org/10.1016/j.actao.2011.06.008 Laterra P (1997). Post-burn recovery in the flooding Pampa: Impact of an invasive leg- ume. Journal of Range Management 50: 274-277. Laterra P, Solbrig OT (2001) Dispersal strategies, spatial heterogeneity and coloniza- tion success in fire-managed grasslands. Ecological Modelling 139: 17-29. https://doi. org/10.1016/S0304-3800(01)00227-7 Lean JJ (2001) Association between feeding perennial ryegrass (Lolium perenne cultivar Grasslands Impact) containing high concentrations of ergovaline, and health and pro- ductivity in a herd of lactating dairy cows. Australian Veterinary Journal 79: 262-264. https://doi.org/10.1111/j.1751-0813.2001.tb11978.x Leduc-Brodard V, Inacio F, Jaquinod M, Forest E, David B, Peltre G (1996) Charac- terization of Dac g 4, a major basic allergen from Dactylis glomerata pollen. Journal of Allergy and Clinical Immunology 98: 1065-1072. https://doi.org/10.1016/S0091- 6749(96)80193-X Leffler AJ, Monaco TA, James JJ, Sheley RL (2016) Importance of soil and plant com- munity disturbance for establishment of Bromus tectorum in the Intermountain West, USA. NeoBiota 30: 111-125. https://doi.org/10.3897/neobiota.30.7119 Leofanti GA, Camadro EL (2017) Pollen viability and meiotic abnormalities in brome grasses (Bromus L., section Ceratochloa) from Argentina. Turkish Journal of Botany 41: 127-133. https://doi.org/10.3906/bot-1607-46 207. 208. 209. 210. eA 2125 PAbeS 214. PMs y 216. 2 218; Global environmental and socio-economic impacts of selected alien grasses... | Leys AR, Cullis BR, Plater B (1991) Effect of spraytopping applications of paraquat and glyphosate on the nutritive value and regeneration of Vulpia (Vulpia bromoides (L.) S.F. Gray]. Australian Journal of Agricultural Research 42: 1405-1415. Leys AR, Plater B Lill WJ (1991) Response of vulpia (Vulpia bromoides (L.) SF Gray and V. myuros (L.) CC Gmelin) and subterranean clover to rate and time of application of simazine. Australian Journal of Experimental Agriculture, 31: 785-791. Li R, Wang S, Duan L, Li Z, Christoffers MJ, Mengistu LW (2007) Genetic diversity of wild oat (Avena fatua) populations from China and the United States. Weed Sci 55: 95-101. https://doi.org/10.1614/WS-06-108.1 Li Y zhi, Cao Y, Zhou Q, Guo H ming, Ou G cai (2012) The Efficiency of Southern rice black-streaked dwarf virus Transmission by the Vector Sogatella furcifera to Differ- ent Host Plant Species. Journal of Integrative Agriculture 11: 621-627. https://doi. org/10.1016/S2095-3119(12)60049-5 Liu S, Vargas J, Merewitz E (2017) Phytohormones associated with bacterial etiolation disease in creeping bentgrass. Environmental and Experimental Botany 133: 35-49. https://doi.org/10.1016/j.envexpbot.2016.09.004 Lépez-Granados F, Pefa-Barragan JM, Jurado-Exposito M, Francisco-Fernandez M, Cao R, Alonso-Betanzos A, Fontenla-Romero O (2008) Multispectral classification of grass weeds and wheat (Triticum durum) using linear and nonparametric functional discriminant analysis and neural networks. Weed Research 48: 28-37. https://doi. org/10.1111/}.1365-3180.2008.00598.x Ma L, Vu GTH, Schubert V, Watanabe K, Stein N, Houben A, Schubert I (2010) Synteny between Brachypodium distachyon and Hordeum vulgare as revealed by FISH. Chromosome Research 18: 841-850. https://doi.org/10.1007/s10577-010-9 166-3 Ma Y, Zhang M, Li Y, Shui J, Zhou Y (2014) Allelopathy of rice (Oryza sativa L.) root exu- dates and its relations with Orobanche cumana Wallr. and Orobanche minor Sm. germination. Journal of Plant Interactions 9: 722-730. https://doi.org/10.1080/17429145.2014.912358 Marshall GR, Coleman MJ, Sindel BM, Reeve IJ, Berney PJ (2016) Collective action in invasive species control, and prospects for community-based governance: The case of serrated tussock (/Vassella trichotoma) in New South Wales, Australia. Land Use Policy 56: 100-111. https://doi.org/10.1016/j.landusepol.2016.04.028 Matocha MA, Grichar WJ, Grymes C (2010) Field Sandbur (Cenchrus spinifex) Control and Bermudagrass Response to Nicosulfuron Tank Mix Combinations. Weed Technol- ogy 24: 510-514. https://doi.org/10.1614/WT-D-10-00032.1 May C, Stewart PL (1998) Development of a toxin-binding agent as a treatment for tu- nicaminyluracil toxicity: protection against tunicamycin poisoning of sheep. Australian veterinary journal 76: 752-756. https://doi.org/10.1111/j.1751-0813.1998.tb12307.x Mcgraw BA, Koppenhéfer AM (2015) Spatial analysis of Listronotus maculicollis im- mature stages demonstrates strong associations with conspecifics and turfgrass damage but not with optimal hosts on golf course fairways. Entomologia Experimentalis et Ap- plicata 157: 307-316. https://doi.org/10.1111/eea.12363 52 219. 220. 221. 22D 229. 224. 22.2: 226. 22. 220 229 250. 231. Zoe. Khensani V. Nkuna et al. / NeoBiota 41: 19-65 (2018) McKay AC, Ophel KM, Reardon TB, Gooden JM (1993) Livestock deaths associated with Clavibacter toxicus! Anguina sp. infection in seedheads of Agrostis avenacea and Poly- pogon monspeliensis. Plant Disease 77: 635-641. McKenzie EHC, Thongkantha S, Lumyong S (2007) Zygosporium bioblitzi sp. nov. on dead leaves of Cortaderia and Dracaena. New Zealand Journal of Botany 45: 433-435. https://doi.org/10.1080/00288250709509724 Mckinley TL, Roberts RK, Hayes RM English BC (1999) Economic comparison of herbicides for johnsongrass (Sorghum halepense) control in glyphosate-tolerant soybean (Glycine max). Weed technology13: 30-36. McWhorter CG, Azlin WR (1978) Effects of environment on the toxicity of glypho- sate to johnsongrass (Sorghum halepense) and soybeans (Glycine max). Weed Science 26: 605-608. Mebalds MI, Price T V. (2010) Epidemiology of blind seed disease in perennial ryegrass (Lolium perenne) in Victoria. Australasian Plant Pathology 39: 394-405. https://doi. org/10.1071/AP10071 Mesléard F Ham LT, Boy V, van Wijck C, Grillas P (1993) Competition between an introduced and an indigenous species: the case of Paspalum paspalodes (Michx) Schrib- ner and Aeluropus littoralis (Gouan) in the Camargue (southern France). Oecologia 94: 204-209. https://doi.org/10.1007/BF00341318 Meyer SE, Quinney D, Nelson DL, Weaver J (2007) Impact of the pathogen Pyrenopho- ra semeniperda on Bromus tectorum seedbank dynamics in North American cold deserts. Weed Research 47: 54—62. https://doi.org/10.1111/j.1365-3180.2007.00537.x Michael PJ, Owen MJ, Powles SB (2010) Herbicide-resistant weed seeds contaminate grain sown in the Western Australian grain belt. Weed Science 58: 466-472. Middleton BA, Shakla JB, Dubey B (1998) The water buffalo controversy in Keoladeo National Park, India. Ecological Modelling 106: 93-98. https://doi.org/10.1016/ S0304-3800(97)00171-3 Milton SJ (2004) Grasses as invasive alien plants in South Africa. South African Journal of Science 100: 69-75. Min AN (1997) Phytotoxicity of vulpia residues: I. Investigation of aqueous ex- tracts. Journal of Chemical Ecology 23: 1979-1995. https://doi.org/10.1023/ B:JOEC.0000006484.57119.84 Mitkowski NA, Browning M, Basu C, Jordan K, Jackson N (2005) Pathogenicity of Xanthomonas translucens from Annual Bluegrass on Golf Course Putting Greens. Plant Disease 89: 469-473. https://doi.org/10.1094/PD-89-0469 Miz RB, De Souza-Chies TT (2006) Genetic relationships and variation among bio- types of dallisgrass (Paspalum dilatatum Poir.) and related species using random ampli- fied polymorphic DNA markers. Genetic Resources and Crop Evolution 53: 541-552. https://doi.org/10.1007/s10722-005-1290-0 Mokhtassi-Bidgoli A, Navarrete L, AghaAlikhani M, Gonzalez-Andujar JL (2013) Modelling the population dynamic and management of Bromus diandrus in a non-tillage system. Crop Protection 43: 128-133. https://doi.org/10.1016/j.cro- pro.2012.08.015 252: 234. 299. 236. ZT 238. 239. 240. 241. 242. 243. 244. 245. Global environmental and socio-economic impacts of selected alien grasses... 53 Molina-Montenegro MA, Carrasco-Urra F, Acufia-Rodriguez I, Oses R, Torres-Diaz C, Chwedorzewska KJ (2014) Assessing the importance of human activities for the estab- lishment of the invasive Poa annua in Antarctica. Polar Research 33: 21425. https://doi. org/10.3402/polar.v33.21425 Molina-Montenegro MA, Carrasco-Urra F, Rodrigo C, Convey P, Valladares F, Gianoli E (2012) Occurrence of the Non-Native Annual Bluegrass on the Antarctic Mainland and Its Negative Effects on Native Plants. Conservation Biology 26: 717-723. https:// doi.org/10.1111/}.1523-1739.2012.01865.x Molina-Montenegro MA, Pertierra LR, Razeto-Barry P, Diaz J, Finot VL, Torres-Diaz C (2015) A recolonization record of the invasive Poa annua in Paradise Bay, Antarctic Pen- insula: modeling of the potential spreading risk. Polar Biology 38: 1091-1096. https:// doi.org/10.1007/s00300-015-1668-1 Monks DW, Schultheis JR (1998) Critical weed-free period for large crabgrass (Digitaria sanguinalis) in transplanted watermelon (Citrullus lanatus). Weed Science 46: 530-532. Morales, J (2012). Patterns of Distribution of Paspalum species along environmental gradients landscapes in the Nicaraguan Dry Tropical Forest. Master's Thesis. Norwe- gian University of Science and Technology. Available from: https://brage.bibsys.no/ xmlui/bitstream/handle/11250/245173/608831_FULLTEXT01.pdf?sequence=1 (October 23, 2017). Morgan WG, King IP, Koch S, Harper JA, Thomas HM (2001) Introgression of chro- mosomes of Festuca arundinacea var. glaucescens into Lolium multiflorum revealed by genomic in situ hybridisation (GISH). Theoretical and Applied Genetics 103: 696-701. https://doi.org/10.1007/s001220100634 Morris C, Monaco T a., Rigby CW (2009) Variable Impacts of Imazapic Rate on Downy Brome (Bromus tectorum) and Seeded Species in Two Rangeland Communi- ties. Invasive Plant Science and Management 2: 110-119. https://doi.org/10.1614/ IPSM-08-104.1 Morrow LA, Stahlman PW (1984) The history and distribution of downy brome (Bro- mus tectorum) in North America. Weed Science 32: 2-6. Mugdi LE, Goodall J, Witkowski ET Byrne, MJ (2015) The role of reproduction in Glyceria maxima invasion. African Journal of Range & Forage Science, 59-66. Mugwedi LE Goodall J, Witkowski ETE Byrne MJ (2015) The role of reproduction in Glyceria maxima invasion. African Journal of Range and Forage Science 32: 59-66. https://doi.org/10.2989/10220119.2014.929177 Mugwedi LF, Goodall JM, Witkowski ETE, Byrne MJ (2015) Post-fire vegetative re- cruitment of the alien grass Glyceria maxima at a KwaZulu-Natal Midlands dam, South Africa. African Journal of Aquatic Science 40: 443-445. https://doi.org/10.2989/1608 5914.2015.1082069 Murry LE, Tai W (1980) Genome relations of Agropyron sericeum, Hordeum jubatum and their hybrids. American Journal of Botany 67: 1374-1379. Musil CF, Milton SJ, Davis GW (2005) The threat of alien invasive grasses to lowland Cape floral diversity: An empirical appraisal of the effectiveness of practical control strategies. South African Journal of Science 101: 337-344. 54 246. 247. 248. 249. 20 251. 22: 253. 254. DD: 256. 2 258. 209. Khensani V. Nkuna et al. / NeoBiota 41: 19-65 (2018) Myer R, Blount A, Coleman S, Carter J (2011) Forage nutritional quality evaluation of Bahiagrass selections during autumn in Florida. Communications in Soil Science and Plant Analysis 42: 167-172. https://doi.org/10.1080/00103624.2011.535067 Najafabadi AS, Mofid MR, Solouki M, Mohammadi R (2010) Ergovaline levels in iranian ecotypes of Festuca arundinacea schreb. Trakia Journal of Sciences 8: 40-46. Nasseri A. (2016). Canal Geometry, Flow Velocity, Dallisgrass (Paspalum dilatatum Poir.) Density and Soil Phosphorous Effects on Hydraulic Resistance of Vegetated Ca- nals. Tarim Bilimleri Dergisi 22: 187-195. Newingham BA, Belnap J (2006) Direct effects of soil amendments on field emergence and growth of the invasive annual grass Bromus tectorum L. and the native perennial grass Hilaria jamesii (Torr.) Benth. Plant and Soil 280: 29-40. https://doi.org/10.1007/ s11104-005-8551-8 Newman YC, Sollenberger LE (2005) Grazing management and nitrogen fertilization effects on vaseygrass persistence in limpograss pastures. Crop Science 45: 2038-2043. https://doi.org/10.2135/cropsci2004.0736 Nishikawa T, Salomon B, Komatsuda T; von Bothmer R, Kadowaki K, Nishikawa T, Salomon B, Komatsuda T, von Bothmer R, Kadowaki K (2002) Molecular phylogeny of the genus Hordeum using three chloroplast DNA sequences. Genome 45: 1157-1166. https://doi.org/10.1139/G02-088 O’connor PJ, Covich AP, Scatena FN, Loope LL (2000) Non-indigenous bamboo along headwater streams of the Luquillo Mountains, Puerto Rico: leaf fall, aquatic leaf decay and patterns of invasion. Journal of Tropical Ecology, 16(04), pp. 499-516. O’Donovan JT (1988) Wild oat (Avena fatua) infestations and economic returns as influenced by frequency of control. Weed Technology 2: 495-498. Okada M, Lyle M, Jasieniuk M (2009) Inferring the introduction history of the invasive apomictic grass Cortaderia jubata using microsatellite markers. Diversity and Distribu- tions 15: 148-157. https://doi.org/10.1111/j.1472-4642.2008.00530.x Oliveira LB, Soares EM, Jochims FE, Tiecher T, Marques AR, Kuinchtner BC, Rheinhe- imer DS, De Quadros FLF (2015) Long-Term Effects of Phosphorus on Dynamics of an Overseeded Natural Grassland in Brazil. Rangeland Ecology and Management 68: 445-452. https://doi.org/10.1016/j.rama.2015.07.012 Orgaard M, Anamthawat-Jénsson K (2001) Genome discrimination by in situ hybridi- zation in Icelandic species of Elymus and Elytrigia (Poaceae: Triticeae). Genome 44: 275-283. https://doi.org/10.1139/gen-44-2-275 Owen MJ, Goggin DE, Powles SB (2012) Non-target-site-based resistance to ALS-in- hibiting herbicides in six Bromus rigidus populations from Western Australian cropping fields. Pest Management Science 68: 1077-1082. https://doi.org/10.1002/ps.3270 Pablos I, Wildner S, Asam C, Wallner M, Gadermaier G (2016) Pollen Allergens for Molecular Diagnosis. Current Allergy and Asthma Reports 16. https://doi.org/10.1007/ s11882-016-0603-z Panayotou PC (1982) Some aspects on barley yellow dwarf virus host range/Einlge Aspekte zum Wirtspflanzenkreis des Gelbverzwergungs-Virus der Gerste. Zeitschrift ftir Pflanzenk- rankheiten und Pflanzenschutz/Journal of Plant Diseases and Protection 89: 595-603. 260. 261. 262. 263. 264. 265. 266. 267. 268. 269. 270. para Das 209: 274. Global environmental and socio-economic impacts of selected alien grasses... 3) Papapanagiotou AP, Kaloumenos NS, Eleftherohorinos IG (2012) Sterile oat (Avena sterilis L.) cross-resistance profile to ACCase-inhibiting herbicides in Greece. Crop Pro- tection 35: 118-126. https://doi.org/10.1016/j.cropro.2011.08.001 Parker-Allie F, Musil CF, Thuiller W (2009) Effects of climate warming on the distribu- tions of invasive Eurasian annual grasses: A South African perspective. Climatic Change 94: 87-103. https://doi.org/10.1007/s10584-009-9549-7 Parkinson H, Zabinski C, Shaw N (2013) Impact of native grasses and cheatgrass (Bro- mus tectorum) on great basin forb seedling growth. Rangeland Ecology and Manage- ment 66: 174-180. https://doi.org/10.2111/REM-D-11-00028.1 Patra A, Tushar J, Dubey B (2017) Modeling and simulation of a wetland park: An ap- plication to Keoladeo National Park, India. Mathematics and Computers in Simulation 134: 54—78. https://doi.org/10.1016/j.matcom.2016.10.001 Patterson DT (1994) Temperature responses and potential range of the grass weed, ser- rated tussock (Nassella trichotoma), in the United States. Weed technology 8: 703-712. Pereira MRR, Teixeira RN, Souza GSF, Silva JIC, Martins D (2011) Inibicao do desenvolvimento inicial de plantas de girassol, milho e triticale por palhada de capim-colchao. Planta Daninha 29: 305-310. https://doi.org/10.1590/S0100- 83582011000200008 Petersen G (1991) Intergeneric hybridization between Hordeum and Secale (Poaceae). I. Crosses and development of hybrids. Nordic Journal of Botany 11: 253-270. https:// doi.org/10.1111/j.1756-1051.1991.tb01404.x Philipson MN (1978) Apomixis in Cortaderia jubata (Gramineae). New Zealand Jour- nal of Botany 16: 45—59. https://doi.org/10.1080/0028825X.1978.10429656 Picone LI, Quaglia G, Garcia FO, Laterra, P (2003). Biological and chemical response of a grassland soil to burning. Journal of Range Management 56: 291-297. Popay I, Timmins SM, McCluggage T (2003) Aerial spraying of pampas grass in dif- ficult conservation sites. Science for Conservation. Department of Conservation, Wel- lington, New Zealand: 5-17. Poulin J, Sakai A, Weller SG, Nguyen T (2007) Plasticity, Precipitation, and Invasive- ness in the Fire - Promoting Grass. American Journal of Botany 94: 533-541. Poulin J, Weller SG, Sakai AK (2005) Genetic diversity does not affect the inva- siveness of fountain grass (Pennisetum setaceum) in Arizona, California and Ha- waii. Diversity and Distributions 11: 241-247. https://doi.org/10.1111/j.1366- 9516.2005.00136.x Puliafico KP, Schwarzlander M, Price WJ, Harmon BL, Hinz HL (2011) Native and Exotic Grass Competition with Invasive Hoary Cress (Cardaria draba). Invasive Plant Science and Management 4: 38—49. https://doi.org/10.1614/IPSM-D-10-00041.1 Qasem JR (2007) Chemical control of wild-oat (Avena sterilis L.) and other weeds in wheat (Triticum durum Desf.) in Jordan. Crop Protection 26: 1315-1324. https://doi. org/10.1016/j.cropro.2006.11.006 Quarin CL, Caponio I (1995) Cytogenetics and reproduction of Paspalum dasypleurum and its hybrids with P urvillei and P dilatatum ssp. flavescens. International Journal of Plant Sciences 156: 232-235. 56 DP: 276. Ld 27 ®. Lie 280. 281. 282. 283. 284. 285. 286. DOr Khensani V. Nkuna et al. / NeoBiota 41: 19-65 (2018) Quinn LD, Holt JS (2008) Ecological correlates of invasion by Arundo donax in three southern California riparian habitats. Biological Invasions 10: 591-601. https://doi. org/10.1007/s10530-007-9155-4 Racelis AE, Goolsby JA, Moran P (2009) Seasonality and Movement of Adventive Pop- ulations of the Arundo Wasp (Hymenoptera: Eurytomidae), a Biological Control Agent of Giant Reed in the Lower Rio Grande Basin in South Texas. Southwestern Entomolo- gist 34: 347-357. https://doi.org/10.3958/059.034.0401 Rahlao SJ, Milton SJ, Esler KJ, Barnard P (2010) The distribution of invasive Pennise- tum setaceum along roadsides in western South Africa: The role of corridor interchanges. Weed Research 50: 537-543. https://doi.org/10.1111/j.1365-3180.2010.00801.x Rahlao SJ, Milton SJ, Esler KJ, Barnard P (2014) Performance of invasive alien foun- tain grass (Pennisetum setaceum) along a climatic gradient through three South Afri- can biomes. South African Journal of Botany 91: 43-48. https://doi.org/10.1016/j. sajb.2013.11.013 Rahlao SJ, Milton SJ, Esler KJ, Van Wilgen BW, Barnard P (2009) Effects of invasion of fire-free arid shrublands by a fire-promoting invasive alien grass (Pennisetum seta- ceum) in South Africa. Austral Ecology 34: 920-928. https://doi.org/10.1111/j.1442- 9993.2009.02000.x Ray-Mukherjee J, Jones TA, Adler PB, Monaco TA (2011) Immature seedling growth of two north american native perennial bunchgrasses and the invasive grass bromus tectorum. Rangeland Ecology and Management 64: 358-365. https://doi.org/10.2111/ REM-D-10-00101.1 Riefner Jr RE Columbus JT (2008) Paspalum vaginatum (Poaceae), a new threat to wetland diversity in southern California. Journal of the Botanical Research Institute of Texas 2: 743-759. Riley IT (1996) Dilophospora alopecuri on Lolium rigidum and Holcus lanatus in south- eastern Australia. Australasian Plant Pathology 25: 255-259. Riley IT, Reardon TB, Bertozzi T (1998) Allozyme analysis of Australian isolates of Dilophospora alopecuri. Mycological Research 102: 301-307. https://doi.org/10.1017/ S095375629700498X Riley IT, Schmitz A, De Silva P (2001) Anguina australis, a vector for Rathayibacter toxicus in Ehrharta longiflora. Australasian Plant Pathology 30: 171-175. https://doi. org/10.1071/AP01024 Ringselle B, Prieto-Ruiz I, Andersson L, Aronsson H, Bergkvist G (2017) Elymus repens biomass allocation and acquisition as affected by light and nutrient supply and compan- ion crop competition. Annals of botany 119: 477-485. https://doi.org/10.1093/aob/ mcw228 Roberts AM, Van Ree R, Cardy SM, Bevan LJ, Walker MRC-1421683 (1992) Recom- binant pollen allergens from Dactylis glomerata: preliminary evidence that human IgE cross-reactivity between Dac g II and Lol p I/II is increased following grass pollen im- munotherapy. Immunology 76: 389-396. Roché ACS (2010) New habitats, new menaces: Centaurea x kleinii (C. moncktonii x C. solstitialis), a new hybrid species between two alien weeds. Collectanea Botanica 23: 17-23. https://doi.org/10.3989/collectbot.2010.v29.002 288. 289. 290. 291, 22, 23. 294. 295. 296. 297. 298. 299), 300. 301. Global environmental and socio-economic impacts of selected alien grasses... 57 Roehrs H, Klooss S, Kirleis W (2013) Evaluating prehistoric finds of Arrhenatherum elatius var. bulbosum in north-western and central Europe with an emphasis on the first Neolithic finds in Northern Germany. Archaeological and Anthropological Sciences 5: 1-15. https://doi.org/10.1007/s12520-012-0109-0 Rolston MP (1981) Wild oats in Newzealand: A review. New Zealand Journal of Ex- perimental Agriculture 9: 115-121. https://doi.org/10.1080/03015521.1981.1042781 4 Rout ME, Chrzanowski TH (2009) The invasive Sorghum halepense harbors endophytic N2-fixing bacteria and alters soil biogeochemistry. Plant and Soil 315: 163-172. htt- ps://doi.org/10.1007/s11104-008-9740-z Rua MA, Umbanhowar J, Hu S, Burkey KO, Mitchell CE (2013) Elevated CO, spurs reciprocal positive effects between a plant virus and an arbuscular mycorrhizal fungus. New Phytologist 199: 541-549. Ruttledge A, Whalley RDB, Reeve I, Backhouse DA, Sindel BM (2015) Preventing weed spread: A survey of lifestyle and commercial landholders about Nassella tricho- toma in the Northern Tablelands of New South Wales, Australia. Rangeland Journal 37: 409-423. https://doi.org/10.1071/RJ15010 Salo LF (2004) Population dynamics of red brome (Bromus madritensis subsp. rubens): Times for concern, opportunities for management. Journal of Arid Environments 57: 291-296. https://doi.org/10.1016/S0140-1963(03)00110-1 Salo LF (2005) Red brome (Bromus rubens subsp. madritensis) in North America: Possi- ble modes for early introductions, subsequent spread. Biological Invasions 7: 165-180. https://doi.org/10.1007/s10530-004-8979-4 Sarah S, Hussain F, Ehsan M, Burni T (2011) Allelopathic potential of Polypogon mon- speliensis L. against two cultivars of wheat. African Journal of Biotechnology 10: 19723- 19728. https://doi.org/10.5897/Ajb11.1528 Savova Bianchi D, Keller Senften J, Felber F (2002) Isozyme variation of Hordeum murinum in Switzerland and test of hybridization with cultivated barley. Weed Research 42: 325-333. https://doi.org/10.1046/j.1365-3180.2002.00292.x Schmidt M, Bothma G (2006) Risk assessment for transgenic sorghum in Africa: Crop- to-crop gene flow in Sorghum bicolor (L.) Moench. Crop Science 46: 790-798. https:// doi.org/10.2135/cropsci2005.06-0117 Schmidt W, Brubach M (1993) Plant-Distribution Patterns During Early Succes- sion on an Artificial Protosoil. Journal of Vegetation Science 4: 247-254. https://doi. org/10.2307/3236111 Schramm G, Bufe A, Petersen A, Schlaak M, Becker WM (1998) Molecular and immu- nological characterization of group V allergen isoforms from velvet grass pollen (Holcus lanatus). Eur J Biochem 252: 200-206. Schrauf GE, Blanco MA, Cornaglia PS, Deregibus VA, Madia M, Pacheco MG, Padilla J (2003) Ergot resistance in plants of Paspalum dilatatum incorporated by hybridisation with Paspalum urvillei. Tropical Grasslands 37: 182-186. Scursoni JA, Palmano M, De Notta A, Delfino D (2012) Italian ryegrass (Lolium mul- tiflorum Lam.) density and N fertilization on wheat (Triticum aestivum L.) yield in Argentina. Crop Protection 32: 36-40. https://doi.org/10.1016/j.cropro.2011.11.002 58 302. 303. 304. 305. 306. 307. 308. 309. 310. ab. 32: 313. 314. 315. 316. Khensani V. Nkuna et al. / NeoBiota 41: 19-65 (2018) Scursoni JA, Satorre EH (2005) Barley (Hordeum vulgare) and wild oat (Avena fatua) competition is affected by crop and weed density. Weed technology 19: 790-795. Severns PM (2008) Exotic grass invasion impacts fitness of an endangered prairie but- terfly, Icaricia icarioides fenderi. Journal of Insect Conservation 12: 651-661. https:// doi.org/10.1007/s10841-007-9101-x Sezen UU, Barney JN, Atwater DZ, Pederson GA, Pederson JF, Chandler JM, Cox TS, Cox S, Dotray P, Kopec D, Smith SE, Schroeder J, Wright SD, Jiao Y, Kong W, Goff V, Auckland S, Rainville LK, Pierce GJ, Lemke C, Compton R, Phillips C, Kerr A, Mettler M, Paterson AH (2016) Multi-phase US spread and habitat switching of a post- columbian invasive, Sorghum halepense. PLoS ONE 11: 1-15. https://doi.org/10.1371/ journal.pone.0164584 Sharma A, Sharma N, Bhalla P, Singh M (2017) Comparative and evolutionary analysis of grass pollen allergens using Brachypodium distachyon as a model system. PLoS ONE 12: 1-22. https://doi.org/10.1371/journal.pone.0169686 Sharma MP, Vandenborn WH (1978) The Biology of Canadian Weeds: Avena fatua. Canada Journal Plant Science 58: 141-157. https://doi.org/10.4141/cjps78-022 Shearer BL, Skovmand B, Wilcoxson RD (1977) Hordeum jubatum as a source of inoc- ulum of Septoria avenae f. sp. triticea and S. passerinii. Phytopathology 67: 1338-1341. Showler AT, Moran PJ (2014) Associations between host plant concentrations of se- lected biochemical nutrients and Mexican rice borer, Eoreuma loftini, infestation. Ento- mologia Experimentalis et Applicata 151: 135-143. https://doi.org/10.1111/eea.12177 Shu WS, Ye ZH, Lan CY, Zhang ZQ, Wong MH (2002) Lead, zinc and copper accumu- lation and tolerance in populations of Paspalum distichum and Cynodon dactylon. Envi- ronmental Pollution 120: 445—453. https://doi.org/10.1016/S0269-749 1(02)00110-0 Shukla JB, Dubey B (1996) Effect of changing habitat on species: application to Keoladeo National Park, India. Ecological Modelling 86: 91-99. https://doi.org/10.1016/0304- 3800(94)00194-4 Sierota Z, Damszel M, Borys M, Nowakowska JA (2016) The couch grass rhizome with Heterobasidion annosum fruiting bodies in afforested post-agricultural land. Forest Pathology 46: 376-379. https://doi.org/10.1111/efp.12289 Skerritt JH, Guihot SL, McDonald SE, Culvenor RA (2000) Development of immuno- assays for tyramine and tryptamine toxins of Phalaris aquatica L. Journal of Agricultural and Food Chemistry 48: 27—32. https://doi.org/10.1021/jf990452z Smith AE (1983) Differential bahiagrass (Paspalum notatum) cultivar response to atra- zine. Weed Science 31: 88—92. Smith MW, Wolf ME, Cheary BS, Carroll BL (2001) Allelopathy of bermudagrass, tall fescue, redroot pigweed, and cutleaf evening primrose on pecan. HortScience 36: 1047-1048. Snow AA (2012) Illegal gene flow from transgenic creeping bentgrass: The saga continues. Molecular Ecology 21: 4663-4664. https://doi.org/10.1111/j.1365- 294X.2012.05695.x Sorrell BK, Brix H, Fitridge I, Konnerup D, Lambertini C (2012) Gas exchange and growth responses to nutrient enrichment in invasive Glyceria maxima and native Ds 318. 319, GV AUR eA ge Dons Ve 324. B29. 326. a27% 328. 329. 330. Global environmental and socio-economic impacts of selected alien grasses... 59 New Zealand Carex species. Aquatic Botany 103: 37-47. https://doi.org/10.1016/j. aquabot.2012.05.008 Soukup J, Holec J, Hamouz P, Tyser L (2004) Aliens on arable land. Weed Science on the Go: 11-22. Speranza PR (2009) Evolutionary patterns in the Dilatata group (Paspalum, Poaceae). Plant Systematics and Evolution 282: 43-56. https://doi.org/10.1007/s00606-009-0205-5 Stahlman PW, Miller SD (1990) Downy brome (Bromus tectorum) interference and economic thresholds in winter wheat (Triticum aestivum). Weed Science 38: 224-— 228. Standish RJ, Cramer VA, Hobbs RJ (2008) Land-use legacy and the persistence of in- vasive Avena barbata on abandoned farmland. Journal of Applied Ecology 45: 1576- 1583. https://doi.org/10.1111/j.1365-2664.2008.01558.x Steppuhn H, Asay K (2005) Emergence, height, and yield of tall, NewHy, and green wheatgrass forage crops grown in saline root zones. Canadian journal of plant science, 85: 863-875. Sugiura S, Yamazaki K (2007) Migratory moths as dispersal vectors of an introduced plant-pathogenic fungus in Japan. Biological Invasions 9: 101-106. https://doi. org/10.1007/s10530-006-9006-8 Svitashev S, Bryngelsson T, Vershinin A, Pedersen C, Sall T, von Bothmer R (1994) Phylogenetic analysis of the genus Hordeum using repetitive DNA sequences. Theoreti- cal and Applied Genetics 89: 801-810. https://doi.org/10.1007/BF00224500 Sweet LC, Holt JS (2015) Establishment Stage Competition between Exotic Crimson Fountaingrass (Pennisetum setaceum, C4) and Native Purple Needlegrass (Stipa pulchra, C3). Weed Science Society of America 8: 139-150. https://doi.org/10.1614/IPSM- D-14-00048.1 Szczepaniak M (2009) Biosystematic studies of Elymus repens (L.) gould (Poaceae): Pat- terns of phenotypic variation. Acta Societatis Botanicorum Poloniae 78: 51-61. Takahashi W, Miura Y, Sasaki T, Takamizo T (2014) Identification of a novel major locus for gray leaf spot resistance in Italian ryegrass (Lolium multiflorum Lam.). BMC Plant Biology 14: 1-12. https://doi.org/10.1186/s12870-014-0303-6 Takahashi W, Takamizo T, Kobayashi M, Ebina M (2010) Plant regeneration from calli in giant reed (Arundo donax L.). Grassland Science 56: 224-229. https://doi. org/10.1111/j.1744-697X.2010.00198.x Takahashi Y, Aoyama M, Abe E, Aita T, Kawashima S, Ohta N, Sakaguchi M (2008) Development of electron spin resonance radical immunoassay for measurement of airborne orchard grass (Dactylis glomerata) pollen antigens. Aerobiologia 24: 53-59. https://doi.org/10.1007/s10453-007-9082-y Tanji A (2001). Response of ripgut brome (Bromus rigidus) and foxtail brome (Bromus rubens) to MON 37500. Weed technology 15: 642-646. Tanno K, Von Bothmer R, Yamane K, Takeda K, Komatsuda T (2010) Analysis of DNA sequence polymorphism at the CMWG699 locus reveals phylogenetic relationships and allopolyploidy within Hordeum murinum subspecies. Hereditas 147: 34-42. https:// doi.org/10.1111/j.1601-5223.2009.02142.x 60 Doi. CER 29% 334. SPP 336. Dat: 338. 92% 340. 341. 342. 343. 344. Khensani V. Nkuna et al. / NeoBiota 41: 19-65 (2018) Tayyar R, Khudamrongsawat J, Holt JS (2004) Genetic diversity of giant reed (Arun- do donax) in the Santa Ana River, California. Weed Science 52: 395-405. https://doi. org/10.1614/WS-03-120R1 Timbrell VL, Riebelt L, Simmonds C, Solley G, Smith WB, McLean-Tooke A, Van Nunen S, Smith PK, Upham JW, Langguth D, Davies JM (2014) An immunodiagnos- tic assay for quantitation of specific ige to the major pollen allergen component, pas n 1, of the subtropical bahia grass. International Archives of Allergy and Immunology 165: 219-228. https://doi.org/10.1159/000369341 Timko MP, Huang K, Lis KE (2012) Host Resistance and Parasite Virulence in Stri- ga—Host Plant Interactions: A Shifting Balance of Power. Weed Science 60: 474-479. https://doi.org/10.1614/WS-D-1 Tozer KN, Chapman DE, Quigley PE, Dowling PM, Cousens RD, Kearney GA (2009) Integrated management of vulpia in dryland perennial pastures of southern Australia. Crop and Pasture Science 60: 32—42. https://doi.org/10.1071/CP07445 Tozer KN, Chapman DE, Quigley PE, Dowling PM, Cousens RD, Kearney GA (2008) Effect of grazing, gap dynamics, and inter-specific seedling competition on growth and survival of Vulpia spp. and Hordeum murinum ssp. leporinum. Australian Journal of Agricultural Research 59: 646-655. https://doi.org/10.1071/AR07375 Tozer KN, Chapman DE, Quigley PE, Dowling PM, Cousens RD, Kearney GA, Sed- cole JR (2008) Controlling invasive annual grasses in grazed pastures: Population dy- namics and critical gap sizes. Journal of Applied Ecology 45: 1152-1159. https://doi. org/10.1111/}.1365-2664.2008.01500.x Travlos IS (2013) Competition between ACCase-Inhibitor Resistant and Suscepti- ble Sterile Wild Oat (Avena sterilis) Biotypes. Weed Science 61: 26-31. https://doi. org/10.1614/WS-D-12-00065.1 Travlos IS, Giannopolitis CN, Economou G (2011) Diclofop resistance in sterile wild oat (Avena sterilis L.) in wheat fields in Greece and its management by other post- emergence herbicides. Crop Protection 30: 1449-1454. https://doi.org/10.1016/j.cro- pro.2011.07.001 Tushemereirwe WK (1993) First report of Fusarium wilt on East African Highland cultivars of banana. Plant Disease 77: 1063. Tworkoski TJ, Glenn DM (2001) Yield, shoot and root growth, and physiological re- sponses of mature peach trees to grass competition. HortScience 36: 1214-1218. Upadhyay RK, Rai V, Tiwari SK (2014) Modeling wetland systems of Keoladeo Na- tional Park (KNP), India: the role of space. Wetlands Ecology and Management 22: 605-624. https://doi.org/10.1007/s11273-014-9355-5 Van der Valk AG, Middleton BA, Williams RL, Mason DH, Davis CB (1993) The bio- mass of an Indian monsoonal wetland before and after being overgrown with Paspalum distichum L. Vegetatio 109: 81-90. https://doi.org/10.1007/BF00149547 Vazquez de Aldana BR, Garcia Ciudad A, Zabalgogeazcoa I, Garcia Criado B (2001) Ergovaline levels in cultivars of Festuca arundinacea. Animal Feed Science and Technol- ogy 93: 169-176. https://doi.org/10.1016/S0377-8401(01)00285-1 Venuto BC, Croughan SS, Pitman WD, Jessup RW, Renganayaki K, Burson BL (2007) Variation among hexaploid Paspalum dilatatum Poir. regenerants from tissue 345. 346. 347. 348. 349. 350. S51. oe ye 353. 354. 355. 3506. Dah 358. 539: Global environmental and socio-economic impacts of selected alien grasses... 61 culture. Australian Journal of Experimental Agriculture 47: 1109-1116. https://doi. org/10.1071/EA06337 Vere DT, Auld BA, Campbell MH (1993) Economic assessments of serrated tussock (Nassella trichotoma) as a pasture weed. Weed Technology 7: 776-782. Verloove F, Reynders M (2007) Studies in the genus Paspalum (Paniceae, Poaceae) in Europe-2. The Quadrifaria group. Willdenowia 37: 423-430. https://doi.org/10.3372/ wi.37.37203 Wales WJ, Dellow DW, Doyle PT (2000) Protein supplementation of cows grazing limited amounts of paspalum (Paspalum dilatatum Poir.)-dominant irrigated pasture in mid lactation. Australian Journal of Experimental Agriculture 40: 923-929. https://doi. org/10.1071/EA00020 Walker RH, Wehtje G, Richburg III JS (1998) Interference and control of large crab- grass (Digitaria sanguinalis) and southern sandbur (Cenchrus echinatus) in forage bermu- dagrass (Cynodon dactylon). Weed technology 12: 707-711. Westbrooks RG (1991) Plant protection issues: I. A commentary on new weeds in the United States. Weed Technology 5: 232-237. Westbrooks RG, Cross G (1993) Serrated tussock (assella trichotoma) in the United States. Weed Technology 7: 525-528. Wijte AHBM, Mizutani T, Motamed ER, Margaret L, Miller DE, Alexander DE, Jour- nal I (2005) Temperature and Endogenous Factors Cause Seasonal Patterns in Rooting by Stem Fragments of the Invasive Giant Reed, Arundo donax (Poaceae). International Journal of Plant Science 166: 507-517. https://doi.org/10.1086/428915 Willenborg CJ, May WE, Gulden RH, Lafond GP, Shirtliffe SJ (2005) Influence of wild oat (Avena fatua) relative time of emergence and density on cultivated oat yield, wild oat seed production, and wild oat contamination. Weed Science 53: 342-352. https://doi. org/10.1614/WS-04-124R1 Williams CS, Hayes RM (1984) Johnsongrass (Sorghum halepense) competition in soy- beans (Glycine max). Weed Science 32: 498-501. Williams DG, Mack RN, Black RA (1995) Ecophysiology of Introduced Pennisetum Setaceum on Hawaii: The Role of Phenotypic Plasticity. Ecology 76: 1569-1580. htt- ps://doi.org/10.2307/1938158 Wilson MV, Clark DL (2001) Controlling invasive Arrhenatherum elatius and promot- ing native prairie grasses through mowing. Applied Vegetation Science 4: 129-138. Wojciechowaka B (1984) Crosses of barley with rye, Hordeum jubatumx 4x Secale cereale and BC progenies of H. jubatumx 2x S. cereale. Cereal research communications 12: 67-73. Wood ML, Murray DS, Banks JC, Verhalen LM, Westerman RB, Anderson KB (2002) Johnsongrass (Sorghum halepense) density effects on cotton (Gossypium hirsutum) har- vest and economic value. Weed technology 16: 495-501. Yakubu MT, Bukoye BB, Oladiji AT, Akanji MA (2009) Toxicological implications of aqueous extract of Bambusa vulgaris leaves in pregnant Dutch rabbits. Human and Experimental Toxicology 28: 591-598. https://doi.org/10.1177/0960327 109106975 Yamada T (2001) Introduction of a self-compatible gene of Lolium temulentum L. to perennial ryegrass (Lolium perenne L.) for the purpose of the production of inbred lines of perennial ryegrass. Euphytica 122: 213-217. 62 360. 361. 362. 363. 364. 365. 366. 367. 368. 369. 370. oyalle Die. Aen Khensani V. Nkuna et al. / NeoBiota 41: 19-65 (2018) Yelenik SG, Levine JM (2011) The role of plant-soil feedbacks in driving native-species recovery. Ecology 92: 66-74. https://doi.org/10.1890/10-0465. 1 Yoder CK, Nowak RS (2000) Phosphorus acquisition by Bromus madritensis ssp. rubens from soil interspaces shared with Mojave desert shrubs. Functional Ecology 14: 685— 692. https://doi.org/10.1046/j.1365-2435.2000.00482.x Yongsheng ZHU, Baotang C, Shunwu YU (2004) Transfer of bacterial blight resistance from Oryza meyeriana to O. sativa L. by asymmetric somatic hybridization. Chinese Science Bulletin 49: 1481-1484. https://doi.org/10.1360/03wc0545 Yu J, McCullough PE (2014) Methiozolin efficacy, absorption, and fate in six cool-season grasses. Crop Science 54: 1211-1219. https://doi.org/10.2135/cropsci2013.05.0349 Yu J, Mccullough PE, Grey T (2015) Physiological effects of temperature on turf- grass tolerance to amicarbazone. Pest Management Science 71: 571-578. https://doi. org/10.1002/ps.3853 Yu Q, Friesen LJS, Zhang XQ, Powles SB (2004) Tolerance to acetolactate synthase and acetyl-coenzyme A carboxylase inhibiting herbicides in Vulpia bromoides is conferred by two co-existing resistance mechanisms. Pesticide Biochemistry and Physiology 78: 21-30. https://doi.org/10.1016/j.pestbp.2003.07.004 Zand E, Beckie HJ (2002) Competitive ability of hybrid and open-pollinated canola (Brassica napus) with wild oat (Avena fatua). Canadian Journal of Plant Science 82: 473-480. https://doi.org/10.4141/P01-149 Zapiola ML, Mallory-Smith CA (2012) Crossing the divide: Gene flow produces inter- generic hybrid in feral transgenic creeping bentgrass population. Molecular Ecology 21: 4672-4680. https://doi.org/10.1111/j.1365-294X.2012.05627.x Zhang H, Ge Y, Wang M, Liu J, Si H, Zhang L, Liang G, Gu M, Tang S (2016) Map- ping QTLs conferring resistance to rice black-streaked dwarf disease in rice (Oryza sa- tiva L). Euphytica 212: 323-330. https://doi.org/10.1007/s10681-016-1782-3 Zhong S, Ali S, Leng Y, Wang R, Garvin DF (2015) Brachypodium distachyon-Coch- liobolus sativus Pathosystem is a New Model for Studying Plant-Fungal Interactions in Cereal Crops. Phytopathology 105: 482-489. https://doi.org/10.1094/PHYTO-08- 14-0214-R Zhou B, Kong CH, Li YH, Wang P, Xu XH (2013) Crabgrass (Digitaria sanguinalis) al- lelochemicals that interfere with crop growth and the soil microbial community. Journal of Agricultural and Food Chemistry 61: 5310-5317. https://doi.org/10.1021/jf401605¢ Zhou B, Kong C-H, Wang P, Li Y-H (2013) Chemical constituents of the essential oils of wild oat and crabgrass and their effects on the growth and allelochemical produc- tion of wheat. Weed Biology and Management 13: 62-69. https://doi.org/10.1111/ wbm.12010 Zhou L, Hopkins AA, Huhman D V., Sumner LW (2006) Efficient and sensitive meth- od for quantitative analysis of alkaloids in hardinggrass (Phalaris aquatica L.). Journal of Agricultural and Food Chemistry 54: 9287-9291. https://doi.org/10.1021/jf061819k Zhu Y, Qiang S (2004) Isolation, pathogenicity and safety of Curvularia eragrostidis isolate QZ-2000 as a bioherbicide agent for large crabgrass (Digitaria sanguinalis). Bio- control Science and Technology 14: 769-782. https://doi.org/10.1080/09583 1504100 01720699 374. oper 376. 377. 378. DD 380. 381. 382. 383. 384. 385. 386. 387. 388. 389. 390. 391. D923 Doon 394. 3D. 396. ok 398. Bee 400. 401. 402. 403. 404. 405. 406. 407. 408. 409. Global environmental and socio-economic impacts of selected alien grasses... 63 Zou L, Santanen A, Tein B, Stoddard FL, Makela PSA (2014) Interference potential of buckwheat, fababean, oilseed hemp, vetch, white lupine and caraway to control couch grass weed. Allelopathy Journal 33: 227-236. http://aknhp.uaa.alaska.edu http://dpipwe.tas.gov.au/invasivespecies/ http://eol.org/pages/1115814/details http://explorer.natureserve.org/servlet/NatureServe?searchName=Arrhenatherum+elati us http://explorer.natureserve.org/servlet/NatureServe?searchName=Cynosurus+echinatus http://gri.msstate.edu/research http://ice.ucdavis.edu/invasives/scorecard/avenabarbatascorecard http://ipm.ucanr.edu/ PMG/WEEDS/hare_barley.html http://issg.org/database/species http://keys.lucidcentral.org/keys/v3/eafrinet/weeds/key/weeds/Media/Html/Avena_ sterilis_(Sterile_Oat).htm http://keyserver.lucidcentral.org/weeds/data/030308000b07490a8d040605030c0f01/ media/Html/Avena_barbata. http://oacc.info/Docs/Quackgrass_final_rev_JD.pdf http://plants.usda.gov/ http://www.cabi.org/isc/datasheet/ 10024 http://www.cabi.org/isc/datasheet/ 10029 http://www.cabi.org/isc/datasheet/ 10029 http://www.cabi.org/isc/datasheet/ 10032 http://www.cabi.org/isc/datasheet/ 10033 http://www.cabi.org/isc/datasheet/ 10036 http://www.cabi.org/isc/datasheet/ 109621 http://www.cabi.org/isc/datasheet/ 110291 http://www.cabi.org/isc/datasheet/ 112795 hetp://www.cabi.org/isc/datasheet/ 11872 hetp://www.cabi.org/isc/datasheet/ 14501 http://www.cabi.org/isc/datasheet/38952 http://www.cabi.org/isc/datasheetreport?dsid=112070 http://www.cabi.org/isc/datasheetreport?dsid=7065 http://www.calipc.org/ip/management/ipcw/pages/detailreport.cfm@ usernumber=20&surveynumber=182.php http://www.capetowninvasives.org.za/project/terrestrial/species/cortaderiaselloana http://www.columbia.edu/itc/cerc/danoftburg/invasion_bio/inv_spp_summ/Bromus_ tectorum.html http://www.environment.gov.au/cgibin/biodiversity/invasive/weeds/weeddetails. pl?taxon_id=6390# http://www.fao.org/ag http://www.fs.usda.gov/main/r3/forest-grasslandhealth/invasivespecies hetp://www.herbiguide.com.au/Descriptions/hg_Great_Brome.htm http://www. invasives.org.za/legislation/item/228commonpampasgrasscortaderiaselloana 64 410. 411. 412. 413. 414. 415. 416. 417. 418. 419. 420. 421. 422. 423. 424, 425. 426. 427. 428. 429. 430. 431. 432. 433. 434, 435. 436. 437. 438. 439. 440. 441. 442. 443, 444, 445, 446. 447. 448. Khensani V. Nkuna et al. / NeoBiota 41: 19-65 (2018) http://www. invasives.org.za/legislation/item/235-giant-reed-arundo-donax http://www.invasives.org.za/legislation/item/300feathertoppennisetumvillosum http://www.invasives.org.za/legislation/item/829-serrated-tussock-nassella-trichotoma http://www.invasives.org.za/legislation/item/850tussockpaspalumpaspalumquadrifarium http://www.iucngisd.org/gisd/species.php?sc=1315 http://www.iucngisd.org/gisd/species.php?sc=1399 http://www.iucngisd.org/gisd/species.php?sc=1418 http://www.iucngisd.org/gisd/species.php?sc=1419 http://www.iucngisd.org/gisd/species.php?sc=266 http://www.iucngisd.org/gisd/species.php?sc=373 http://www.nps.gov/plants/alien/pubs/midatlantic/bamboos.htm http://www. pittwater.nsw.gov.au/environment/noxious_weeds/grasses/tussock_ paspalum?SQ_DESIGN_NAME=printer_friendly http://www.texasinvasives.org/plant_database/detail.php?symbol=BRCA6 https://florabase.dpaw.wa.gov.au https://keyserver.lucidcentral.org/weeds/data/media/Html/aira_caryophyllea.htm https://keyserver.lucidcentral.org/weeds/data/media/Html/briza_maxima.htm https://keyserver.lucidcentral.org/weeds/data/media/Html/cortaderia_selloana.htm https://keyserver.lucidcentral.org/weeds/data/media/Html/paspalum_quadrifarium.htm https://wiki.bugwood.org/Bromus_tectorum https://wiki.bugwood.org/Elymus_repens https://wiki.bugwood.org/Glyceria_maxima https://www.cabi.org/isc/datasheet/ 112070 https://www.cabi.org/isc/datasheet/ 114824 https://www.cabi.org/isc/datasheet/18916 https://www.cabi.org/isc/datasheet/31166 https://www.cabi.org/isc/datasheet/31169 https://www.cabi.org/isc/datasheet/81510 https://www.cal-ipc.org/plants/profile/festuca-arundinacea-profile/ https://www.cropscience.bayer.com https://www.invasive.org/browse/subinfo.cfm?sub=5214 https://www.nies.go.jp/biodiversity/invasive/ DB/detail/80850e.html www. biosecurity.qld.gov.au www.nies.go.jp/biodiversity https://escholarship.org/uc/item/3qt3s5c4 http://www.aprs.iobc.info/download/20141106_Symposium/20141106_IOBC- APRS_Symposium_Sands.pdf http://agris.fao.org/agris-search/search.do http://indigo-dc.org http://agris.fao.org/agris-search/search.do https://www.cabi.org/isc/datasheet/112778 Global environmental and socio-economic impacts of selected alien grasses... 65 Supplementary material | Table S1, Table $2, Figure $1 Authors: Khensani V. Nkuna, Vernon Visser, John R.U. Wilson, Sabrina Kumschick Data type: species data Copyright notice: This dataset is made available under the Open Database License (http://opendatacommons.org/licenses/odbl/1.0/). The Open Database License (ODDbL) is a license agreement intended to allow users to freely share, modify, and use this Dataset while maintaining this same freedom for others, provided that the original source and author(s) are credited. Link: https://doi.org/10.3897/neobiota.41.26599.suppl1 Supplementary material 2 Figure S2 Authors: Khensani V. Nkuna, Vernon Visser, John R.U. Wilson, Sabrina Kumschick Data type: statistical data Explanation note: The impact magnitude of the 48 studied alien grasses across differ- ent habitats. The impact magnitudes on the x-axis are the least-square means of the impact scores as derived from a cumulative link mixed effects model. On the y-axis are the habitat types impacted by alien grasses and in brackets is the number of spe- cies with records in that habitat. The points represent the impact magnitudes and the error bars represent 95 % confidence intervals. Letters on the right side of the confidence intervals are level groupings indicating no significant differences among the habits. Comparisons are Tukey adjusted. Copyright notice: This dataset is made available under the Open Database License (http://opendatacommons.org/licenses/odbl/1.0/). The Open Database License (ODDbL) is a license agreement intended to allow users to freely share, modify, and use this Dataset while maintaining this same freedom for others, provided that the original source and author(s) are credited. Link: https://doi.org/10.3897/neobiota.41.26599.suppl2