The future of invasive African grasses in South America under climate change

Abstract Climate change will promote substantial effects on the distribution of invasive species. Here, I used an ensemble of bioclimatic envelope models (Gower Distance, Chebyshev Distance, and Mahalanobis Distance) to forecast climatically suitable areas of South America for 13 invasive African grass species under future climate conditions (year 2050). Under current climatic conditions, the areas with the potential for the highest invasive species richness are located mostly in the tropical climates of South America, except for the Amazon region. In the year 2050, the overall pattern of invasive species richness will not change considerably, and increases in northeastern Amazon and portions of the temperate regions of South America are predicted.

[1]  Neville D. Crossman,et al.  An invasive plant and climate change threat index for weed risk management: Integrating habitat distribution pattern and dispersal process , 2011 .

[2]  J. E. Byers,et al.  Five Potential Consequences of Climate Change for Invasive Species , 2008, Conservation biology : the journal of the Society for Conservation Biology.

[3]  W. Thuiller,et al.  Effects of climate warming on the distributions of invasive Eurasian annual grasses: a South African perspective , 2009 .

[4]  D. Simberloff,et al.  BIOTIC INVASIONS: CAUSES, EPIDEMIOLOGY, GLOBAL CONSEQUENCES, AND CONTROL , 2000 .

[5]  E. Rodrigues,et al.  Impact of invasion by molasses grass (Melinis minutiflora P. Beauv.) on native species and on fires in areas of campo-cerrado in Brazil , 2014 .

[6]  Richard E. Glor,et al.  ENMTools: a toolbox for comparative studies of environmental niche models , 2010 .

[7]  R. Loyola,et al.  Accommodating Species Climate-Forced Dispersal and Uncertainties in Spatial Conservation Planning , 2013, PloS one.

[8]  D. Kriticos,et al.  The current and future potential geographical distribution of Hyparrhenia hirta , 2010 .

[9]  W. Hoffmann,et al.  The invasive grass, Melinis minutiflora, inhibits tree regeneration in a Neotropical savanna , 2008 .

[10]  J. Murray,et al.  Predicting the potential distribution of a riparian invasive plant: the effects of changing climate, flood regimes and land‐use patterns , 2012 .

[11]  G. Fernandes,et al.  Physiological approaches to determine the impact of climate changes on invasive African grasses in the savanna ecoregion of Brazil , 2015, Environmental Earth Sciences.

[12]  G. Carpenter,et al.  DOMAIN: a flexible modelling procedure for mapping potential distributions of plants and animals , 1993, Biodiversity & Conservation.

[13]  J. L. Parra,et al.  Very high resolution interpolated climate surfaces for global land areas , 2005 .

[14]  David S Wilcove,et al.  Predicting plant invasions in an era of global change. , 2010, Trends in ecology & evolution.

[15]  P. D. Wilson,et al.  The grass may not always be greener: projected reductions in climatic suitability for exotic grasses under future climates in Australia , 2012, Biological Invasions.

[16]  Zdravko Baruch,et al.  African Grass Invasion in the Americas: Ecosystem Consequences and the Role of Ecophysiology , 2000, Biological Invasions.

[17]  R. Kadmon,et al.  Assessment of alternative approaches for bioclimatic modeling with special emphasis on the Mahalanobis distance , 2003 .

[18]  D. Richardson,et al.  Guidelines for improved management of riparian zones invaded by alien plants in South Africa , 2008 .

[19]  B. Bradley.  Regional analysis of the impacts of climate change on cheatgrass invasion shows potential risk and opportunity , 2009 .

[20]  A. Guisan,et al.  Areas of high conservation value in Georgia: present and future threats by invasive alien plants , 2015, Biological Invasions.

[21]  M. Oppenheimer,et al.  Climate change increases risk of plant invasion in the Eastern United States , 2009, Biological Invasions.

[22]  V. Pivello,et al.  Abundance and Distribution of Native and Alien Grasses in a “Cerrado” (Brazilian Savanna) Biological Reserve 1 , 1999 .

[23]  M. Oppenheimer,et al.  Climate change and plant invasions: restoration opportunities ahead? , 2009 .

[24]  D. Pimentel,et al.  Economic and environmental threats of alien plant, animal, and microbe invasions , 2001 .

[25]  O. Sala,et al.  Climate change will increase savannas at the expense of forests and treeless vegetation in tropical and subtropical Americas , 2014 .

[26]  P. Brancalion,et al.  Does a Native Grass (Imperata Brasiliensis Trin.) Limit Tropical Forest Restoration Like an Alien Grass (Melinis Minutiflora P. Beauv.)? , 2014 .

[27]  V. Pivello,et al.  Alien grasses in Brazilian savannas: a threat to the biodiversity , 1999, Biodiversity & Conservation.

[28]  Petr Pyšek,et al.  Is there a taxonomic pattern to plant invasions , 1998 .

[29]  J A Swets,et al.  Measuring the accuracy of diagnostic systems. , 1988, Science.

[30]  C. Nobre,et al.  Climate change and thresholds of biome shifts in Amazonia , 2010 .

[31]  Peter Brewer,et al.  openModeller: a generic approach to species’ potential distribution modelling , 2011, GeoInformatica.

[32]  Mark New,et al.  Ensemble forecasting of species distributions. , 2007, Trends in ecology & evolution.

[33]  K. Bollmann,et al.  Selecting from correlated climate variables: a major source of uncertainty for predicting species distributions under climate change , 2013 .

[34]  R. Sage,et al.  Quo vadis C4? An ecophysiological perspective on global change and the future of C4 plants , 2004, Photosynthesis Research.

[35]  R. Machado,et al.  Conservation of the Brazilian Cerrado , 2005 .

[36]  Marinez Ferreira de Siqueira,et al.  Consequences of global climate change for geographic distributions of cerrado tree species , 2003 .

[37]  R. Loyola,et al.  Severe Loss of Suitable Climatic Conditions for Marsupial Species in Brazil: Challenges and Opportunities for Conservation , 2012, PloS one.

[38]  W. Thuiller,et al.  Will climate change promote future invasions? , 2013, Global change biology.

[39]  C. Bertelsmeier,et al.  Future ant invasions in France , 2014, Environmental Conservation.

[40]  Jean Paul Metzger,et al.  The Brazilian Atlantic Forest: How much is left, and how is the remaining forest distributed? Implications for conservation , 2009 .

[41]  R. Boddey,et al.  Nitrogen cycling in a Brachiaria-based silvopastoral system in the Atlantic forest region of Minas Gerais, Brazil , 2014, Nutrient Cycling in Agroecosystems.

[42]  T. Rangel,et al.  Partitioning and mapping uncertainties in ensembles of forecasts of species turnover under climate change , 2009 .

[43]  Omri Allouche,et al.  A comparative evaluation of presence‐only methods for modelling species distribution , 2007 .

[44]  P. Vitousek,et al.  Biological invasions by exotic grasses, the grass/fire cycle, and global change , 1992 .

[45]  J. Roy,et al.  Climate change might increase the invasion potential of the alien C4 grass Setaria parviflora (Poaceae) in the Mediterranean Basin , 2012 .

[46]  R. Mittermeier,et al.  Biodiversity hotspots for conservation priorities , 2000, Nature.

[47]  Robert P. Anderson,et al.  Ecological Niches and Geographic Distributions , 2011 .

[48]  A. Peterson,et al.  Use of niche models in invasive species risk assessments , 2011, Biological Invasions.

[49]  T. Lewinsohn,et al.  Phytophagous insect fauna tracks host plant responses to exotic grass invasion , 2011, Oecologia.

[50]  Mathieu Marmion,et al.  Evaluation of consensus methods in predictive species distribution modelling , 2009 .

[51]  John Bell,et al.  A review of methods for the assessment of prediction errors in conservation presence/absence models , 1997, Environmental Conservation.

[52]  Mark W. Schwartz,et al.  Using niche models with climate projections to inform conservation management decisions , 2012 .

[53]  A. Palmer,et al.  Predicting the current distribution and potential spread of the exotic grass Eragrostis plana Nees in South America and identifying a bioclimatic niche shift during invasion , 2013 .

[54]  Antoine Guisan,et al.  Predicting current and future biological invasions: both native and invaded ranges matter , 2008, Biology Letters.

[55]  C. Joly,et al.  Brazilian Atlantic Forest lato sensu: the most ancient Brazilian forest, and a biodiversity hotspot, is highly threatened by climate change. , 2010, Brazilian journal of biology = Revista brasleira de biologia.

[56]  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 , 2015, Invasive Plant Science and Management.