Do Ecological Niche Models Accurately Identify Climatic Determinants of Species Ranges?

Defining species’ niches is central to understanding their distributions and is thus fundamental to basic ecology and climate change projections. Ecological niche models (ENMs) are a key component of making accurate projections and include descriptions of the niche in terms of both response curves and rankings of variable importance. In this study, we evaluate Maxent’s ranking of environmental variables based on their importance in delimiting species’ range boundaries by asking whether these same variables also govern annual recruitment based on long-term demographic studies. We found that Maxent-based assessments of variable importance in setting range boundaries in the California tiger salamander (Ambystoma californiense; CTS) correlate very well with how important those variables are in governing ongoing recruitment of CTS at the population level. This strong correlation suggests that Maxent’s ranking of variable importance captures biologically realistic assessments of factors governing population persistence. However, this result holds only when Maxent models are built using best-practice procedures and variables are ranked based on permutation importance. Our study highlights the need for building high-quality niche models and provides encouraging evidence that when such models are built, they can reflect important aspects of a species’ ecology.

[1]  S. Voss,et al.  Hybridization between a rare, native tiger salamander (Ambystoma californiense) and its introduced congener , 2003 .

[2]  H. B. Shaffer,et al.  Lethal Effects of Water Quality on Threatened California Salamanders but Not on Co‐Occurring Hybrid Salamanders , 2013, Conservation biology : the journal of the Society for Conservation Biology.

[3]  H. B. Shaffer,et al.  Field validation supports novel niche modeling strategies in a cryptic endangered amphibian , 2014 .

[4]  M. Turelli,et al.  Environmental Niche Equivalency versus Conservatism: Quantitative Approaches to Niche Evolution , 2008, Evolution; international journal of organic evolution.

[5]  S. Voss,et al.  Rapid spread of invasive genes into a threatened native species , 2010, Proceedings of the National Academy of Sciences.

[6]  M. Brambilla,et al.  Species distribution models as a tool to estimate reproductive parameters: a case study with a passerine bird species. , 2012, The Journal of animal ecology.

[7]  H. Shaffer,et al.  The molecular phylogenetics of endangerment: cryptic variation and historical phylogeography of the California tiger salamander, Ambystoma californiense , 2004, Molecular ecology.

[8]  H. B. Shaffer,et al.  Microhabitat use and migration distance of an endangered grassland amphibian , 2013 .

[9]  H. Possingham,et al.  Extinction risk in cloud forest fragments under climate change and habitat loss , 2013 .

[10]  M. Angilletta,et al.  Can mechanism inform species' distribution models? , 2010, Ecology letters.

[11]  J. Johnson,et al.  Invasive hybrid tiger salamander genotypes impact native amphibians , 2009, Proceedings of the National Academy of Sciences.

[12]  Dan L Warren,et al.  Ecological niche modeling in Maxent: the importance of model complexity and the performance of model selection criteria. , 2011, Ecological applications : a publication of the Ecological Society of America.

[13]  H. B. Shaffer,et al.  Determinants of size at metamorphosis in an endangered amphibian and their projected effects on population stability , 2015 .

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

[15]  A. Townsend Peterson,et al.  Ecological niche structure and rangewide abundance patterns of species , 2013, Biology Letters.

[16]  Jeremy VanDerWal,et al.  Abundance and the Environmental Niche: Environmental Suitability Estimated from Niche Models Predicts the Upper Limit of Local Abundance , 2009, The American Naturalist.

[17]  D. E. Scott,et al.  Declining Amphibian Populations: The Problem of Separating Human Impacts from Natural Fluctuations , 1991, Science.

[18]  H. B. Shaffer,et al.  Delayed life history effects, multilevel selection, and evolutionary trade-offs in the California tiger salamander. , 2014, Ecology.

[19]  M. Kearney,et al.  Correlation and process in species distribution models: bridging a dichotomy , 2012 .

[20]  D. Tilman Resource Competition between Plankton Algae: An Experimental and Theoretical Approach , 1977 .

[21]  Steven J. Phillips,et al.  The art of modelling range‐shifting species , 2010 .

[22]  K. Strøm The Ecological Niche , 1946, Nature.

[23]  Robert P. Anderson,et al.  The effect of spatially marginal localities in modelling species niches and distributions , 2014 .

[24]  Corinne Le Quéré,et al.  Betting on negative emissions , 2014 .

[25]  Jens-Christian Svenning,et al.  Determinants of palm species distributions across Africa: the relative roles of climate, non‐climatic environmental factors, and spatial constraints , 2010 .

[26]  Antoine Guisan,et al.  Variation in habitat suitability does not always relate to variation in species' plant functional traits , 2010, Biology Letters.

[27]  o. Prof. em. Dr. h. c. Heinrich Walter,et al.  Vegetation of the Earth and Ecological Systems of the Geobiosphere , 1983, Heidelberg Science Library.

[28]  D. Rödder Human Footprint, facilitated jump dispersal, and the potential distribution of the invasive Eleutherodactylus johnstonei Barbour 1914 (Anura Eleutherodactylidae). , 2010 .

[29]  M. Austin,et al.  Improving species distribution models for climate change studies: variable selection and scale , 2011 .

[30]  K. J. Willis,et al.  The ability of climate envelope models to predict the effect of climate change on species distributions , 2007 .

[31]  F. Woodward Climate and plant distribution , 1987 .

[32]  S. Gillings,et al.  Population density but not stability can be predicted from species distribution models , 2012 .

[33]  Michelle E. Afkhami,et al.  Mutualist-mediated effects on species' range limits across large geographic scales. , 2014, Ecology letters.

[34]  David Tilman,et al.  Plant Traits and Resource Reduction For Five Grasses Growing on a Nitrogen Gradient , 1991 .

[35]  T. Schoener The Anolis Lizards of Bimini: Resource Partitioning in a Complex Fauna , 1968 .

[36]  Robert P. Anderson,et al.  A framework for using niche models to estimate impacts of climate change on species distributions , 2013, Annals of the New York Academy of Sciences.

[37]  Steven J. Phillips,et al.  Sample selection bias and presence-only distribution models: implications for background and pseudo-absence data. , 2009, Ecological applications : a publication of the Ecological Society of America.

[38]  J. L. Parra,et al.  Impact of a Century of Climate Change on Small-Mammal Communities in Yosemite National Park, USA , 2008, Science.

[39]  Bruce L. Webber,et al.  CliMond: global high‐resolution historical and future scenario climate surfaces for bioclimatic modelling , 2012 .

[40]  J. Andrew Royle,et al.  Likelihood analysis of species occurrence probability from presence‐only data for modelling species distributions , 2012, Methods in Ecology and Evolution.

[41]  Miroslav Dudík,et al.  Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation , 2008 .

[42]  Robert P. Anderson,et al.  The effect of the extent of the study region on GIS models of species geographic distributions and estimates of niche evolution: preliminary tests with montane rodents (genus Nephelomys) in Venezuela , 2010 .

[43]  Robert P. Anderson,et al.  Species-specific tuning increases robustness to sampling bias in models of species distributions: An implementation with Maxent , 2011 .

[44]  J. C. de Almeida,et al.  Concluding Remarks , 2015, Clinical practice and epidemiology in mental health : CP & EMH.

[45]  G. Blouin‐demers,et al.  Habitat suitability modelling for species at risk is sensitive to algorithm and scale: A case study of Blanding's turtle, Emydoidea blandingii, in Ontario, Canada , 2012 .

[46]  H. Ellenberg,et al.  Vegetation Ecology of Central Europe. , 1989 .

[47]  R. Halvorsen A strict maximum likelihood explanation of MaxEnt, and some implications for distribution modelling , 2013 .

[48]  A. Townsend Peterson,et al.  Novel methods improve prediction of species' distributions from occurrence data , 2006 .

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

[50]  W. Köppen Das geographische System der Klimate , 1936 .

[51]  C. Stern CONCLUDING REMARKS OF THE CHAIRMAN , 1950 .

[52]  Bassett Maguire,,et al.  Niche Response Structure and the Analytical Potentials of Its Relationship to the Habitat , 1973, The American Naturalist.

[53]  Robert P. Anderson,et al.  Maximum entropy modeling of species geographic distributions , 2006 .

[54]  Antoine Guisan,et al.  Predictive habitat distribution models in ecology , 2000 .

[55]  H. B. Shaffer,et al.  Ecological equivalency as a tool for endangered species management. , 2016, Ecological applications : a publication of the Ecological Society of America.

[56]  Robert P. Anderson,et al.  Making better Maxent models of species distributions: complexity, overfitting and evaluation , 2014 .

[57]  Dan L. Warren,et al.  Incorporating model complexity and spatial sampling bias into ecological niche models of climate change risks faced by 90 California vertebrate species of concern , 2014 .

[58]  H. B. Shaffer,et al.  Genotype and temperature affect locomotor performance in a tiger salamander hybrid swarm , 2010 .

[59]  Brendan A. Wintle,et al.  Correlative and mechanistic models of species distribution provide congruent forecasts under climate change , 2010 .

[60]  Robert A. Boria,et al.  ENMeval: An R package for conducting spatially independent evaluations and estimating optimal model complexity for Maxent ecological niche models , 2014 .

[61]  A. Peterson,et al.  The crucial role of the accessible area in ecological niche modeling and species distribution modeling , 2011 .

[62]  Jason L. Brown SDMtoolbox: a python‐based GIS toolkit for landscape genetic, biogeographic and species distribution model analyses , 2014 .

[63]  N. Nibbelink,et al.  Projected Loss of a Salamander Diversity Hotspot as a Consequence of Projected Global Climate Change , 2010, PloS one.

[64]  M. Oppenheimer,et al.  Comparing mechanistic and empirical model projections of crop suitability and productivity: implications for ecological forecasting , 2013 .

[65]  S. Schmidtlein,et al.  Alien Invasive Slider Turtle in Unpredicted Habitat: A Matter of Niche Shift or of Predictors Studied? , 2009, PloS one.

[66]  R. D. Semlitsch Analysis of climatic factors influencing migrations of the salamander Ambystoma talpoideum , 1985 .

[67]  H. Bradley Shaffer,et al.  Life History and Demographic Variation in the California Tiger Salamander (Ambystoma californiense) , 2000, Copeia.