Regional habitat suitability for aquatic and terrestrial invasive plant species may expand or contract with climate change

[1]  M. Vohland,et al.  Which factors determine the invasion of plant species? Machine learning based habitat modelling integrating environmental factors and climate scenarios , 2023, Int. J. Appl. Earth Obs. Geoinformation.

[2]  Alex J. Cannon,et al.  A global climate model ensemble for downscaled monthly climate normals over North America , 2022, International Journal of Climatology.

[3]  Boniface K. Ngarega,et al.  Mapping the habitat suitability of Ottelia species in Africa , 2022, Plant diversity.

[4]  J. Gaskin,et al.  Diversity and origins of Butomus umbellatus (flowering rush) invasion in North America , 2021, Aquatic Botany.

[5]  D. Clements,et al.  Rapid Evolution of Invasive Weeds Under Climate Change: Present Evidence and Future Research Needs , 2021, Frontiers in Agronomy.

[6]  R. Moura,et al.  Polyploidy and high environmental tolerance increase the invasive success of plants , 2020, Journal of Plant Research.

[7]  M. Huijbregts,et al.  On the importance of predictor choice, modelling technique, and number of pseudo‐absences for bioclimatic envelope model performance , 2020, Ecology and evolution.

[8]  Andrew M. Liebhold,et al.  Projecting the continental accumulation of alien species through to 2050 , 2020, Global change biology.

[9]  Michel Baguette,et al.  Toward reliable habitat suitability and accessibility models in an era of multiple environmental stressors , 2020, Ecology and evolution.

[10]  Xiao Feng,et al.  A standard protocol for reporting species distribution models , 2020, Ecography.

[11]  Zhixin Zhang,et al.  To invade or not to invade? Exploring the niche-based processes underlying the failure of a biological invasion using the invasive Chinese mitten crab. , 2020, The Science of the total environment.

[12]  B. Bradley,et al.  Supporting proactive management in the context of climate change: prioritizing range-shifting invasive plants based on impact , 2020, Biological Invasions.

[13]  Jane Elith,et al.  Testing whether ensemble modelling is advantageous for maximising predictive performance of species distribution models , 2020 .

[14]  R. Loyola,et al.  Modeling invasive species risk from established populations: Insights for management and conservation , 2020 .

[15]  Adam J. Sepulveda,et al.  Climate-induced expansions of invasive species in the Pacific Northwest, North America: a synthesis of observations and projections , 2020, Biological Invasions.

[16]  A. Banerjee,et al.  Niche dynamics and potential distribution of Butomus umbellatus under current and future climate scenarios in North America , 2020, Hydrobiologia.

[17]  Jenica M. Allen,et al.  Incorporating climate change into invasive species management: insights from managers , 2019, Biological Invasions.

[18]  Wilfried Thuiller,et al.  Uncertainty in ensembles of global biodiversity scenarios , 2019, Nature Communications.

[19]  J. Elith,et al.  A review of evidence about use and performance of species distribution modelling ensembles like BIOMOD , 2019, Diversity and Distributions.

[20]  S. Cirujano,et al.  Predicting the risk of aquatic plant invasions in Europe: How climatic factors and anthropogenic activity influence potential species distributions , 2018, Journal for Nature Conservation.

[21]  F. Courchamp,et al.  Can species distribution models really predict the expansion of invasive species? , 2018, PloS one.

[22]  B. Leroy,et al.  Present and future distribution of three aquatic plants taxa across the world: decrease in native and increase in invasive ranges , 2017, Biological Invasions.

[23]  Bethany A. Bradley,et al.  Out of the weeds? Reduced plant invasion risk with climate change in the continental United States , 2016 .

[24]  Jian Zhang,et al.  Using Risk Assessment and Habitat Suitability Models to Prioritise Invasive Species for Management in a Changing Climate , 2016, PloS one.

[25]  D. Kriticos,et al.  Assessing and Managing the Current and Future Pest Risk from Water Hyacinth, (Eichhornia crassipes), an Invasive Aquatic Plant Threatening the Environment and Water Security , 2016, PloS one.

[26]  Tongli Wang,et al.  Locally Downscaled and Spatially Customizable Climate Data for Historical and Future Periods for North America , 2016, PloS one.

[27]  John Kartesz,et al.  Plants' native distributions do not reflect climatic tolerance , 2016 .

[28]  W. Thuiller,et al.  Major drivers of invasion risks throughout the world , 2016 .

[29]  Thomas A. Groen,et al.  Transferability of species distribution models: The case of Phytophthora cinnamomi in Southwest Spain and Southwest Australia , 2016 .

[30]  H. Seebens,et al.  Global trade will accelerate plant invasions in emerging economies under climate change , 2015, Global change biology.

[31]  J. Havel,et al.  Aquatic invasive species: challenges for the future , 2015, Hydrobiologia.

[32]  Andrew K. Skidmore,et al.  Where is positional uncertainty a problem for species distribution modelling , 2014 .

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

[34]  Wilfried Thuiller,et al.  Invasive species distribution models – how violating the equilibrium assumption can create new insights , 2012 .

[35]  M. Fortin,et al.  Measuring ecological niche overlap from occurrence and spatial environmental data , 2012 .

[36]  D. Clements,et al.  Management Strategies for Invasive Plants in Pacific Northwest Prairies, Savannas, and Oak Woodlands , 2011 .

[37]  Antonio DiTommaso,et al.  Climate change and weed adaptation: can evolution of invasive plants lead to greater range expansion than forecasted? , 2011 .

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

[39]  P. Mote,et al.  Future climate in the Pacific Northwest , 2010 .

[40]  A. Villamagna,et al.  Ecological and socio-economic impacts of invasive water hyacinth (Eichhornia crassipes): a review , 2010 .

[41]  R. Primack,et al.  Favorable Climate Change Response Explains Non-Native Species' Success in Thoreau's Woods , 2010, PloS one.

[42]  M. Leishman,et al.  Modelling the impact of Hieracium spp. on protected areas in Australia under future climates , 2009 .

[43]  M. Araújo,et al.  BIOMOD – a platform for ensemble forecasting of species distributions , 2009 .

[44]  C. Graham,et al.  Selecting pseudo-absence data for presence-only distribution modeling: How far should you stray from what you know? , 2009 .

[45]  J. Elith,et al.  Species Distribution Models: Ecological Explanation and Prediction Across Space and Time , 2009 .

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

[47]  K. Whitney,et al.  Rapid evolution in introduced species, ‘invasive traits’ and recipient communities: challenges for predicting invasive potential , 2008 .

[48]  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.

[49]  Omri Allouche,et al.  Assessing the accuracy of species distribution models: prevalence, kappa and the true skill statistic (TSS) , 2006 .

[50]  T. Dawson,et al.  Model‐based uncertainty in species range prediction , 2006 .

[51]  Jane Elith,et al.  The evaluation strip: A new and robust method for plotting predicted responses from species distribution models , 2005 .

[52]  Y. Ouma,et al.  Dynamism and abundance of water hyacinth in the Winam Gulf of Lake Victoria: evidence from remote sensing and seasonal‐climate data , 2005 .

[53]  A. Peterson.  Predicting the Geography of Species’ Invasions via Ecological Niche Modeling , 2003, The Quarterly Review of Biology.

[54]  Eric R. Ziegel,et al.  Generalized Linear Models , 2002, Technometrics.

[55]  G. F. Bishop,et al.  Hieracium Pilosella L. (Pilosella Officinarum F. Schultz & Schultz-Bip.) , 1994 .

[56]  J. Friedman.  Multivariate adaptive regression splines , 1990 .

[57]  L. C. Anderson,et al.  Phytogeography and Possible Origins of Butomus in North America , 1974 .

[58]  J. Eom,et al.  The Shared Socioeconomic Pathways and their energy, land use, and greenhouse gas emissions implications: An overview , 2017 .

[59]  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 .

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

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

[62]  P. Sasieni,et al.  Generalized additive models. T. J. Hastie and R. J. Tibshirani, Chapman and Hall, London, 1990. No. of Pages: xv + 335. Price: £25. ISBN: 0‐412‐34390‐8 , 1992 .