How to understand species’ niches and range dynamics: a demographic research agenda for biogeography

Range dynamics causes mismatches between a species’ geographical distribution and the set of suitable environments in which population growth is positive (the Hutchinsonian niche). This is because source–sink population dynamics cause species to occupy unsuitable environments, and because environmental change creates non‐equilibrium situations in which species may be absent from suitable environments (due to migration limitation) or present in unsuitable environments that were previously suitable (due to time‐delayed extinction). Because correlative species distribution models do not account for these processes, they are likely to produce biased niche estimates and biased forecasts of future range dynamics. Recently developed dynamic range models (DRMs) overcome this problem: they statistically estimate both range dynamics and the underlying environmental response of demographic rates from species distribution data. This process‐based statistical approach qualitatively advances biogeographical analyses. Yet, the application of DRMs to a broad range of species and study systems requires substantial research efforts in statistical modelling, empirical data collection and ecological theory. Here we review current and potential contributions of these fields to a demographic understanding of niches and range dynamics. Our review serves to formulate a demographic research agenda that entails: (1) advances in incorporating process‐based models of demographic responses and range dynamics into a statistical framework, (2) systematic collection of data on temporal changes in distribution and abundance and on the response of demographic rates to environmental variation, and (3) improved theoretical understanding of the scaling of demographic rates and the dynamics of spatially coupled populations. This demographic research agenda is challenging but necessary for improved comprehension and quantification of niches and range dynamics. It also forms the basis for understanding how niches and range dynamics are shaped by evolutionary dynamics and biotic interactions. Ultimately, the demographic research agenda should lead to deeper integration of biogeography with empirical and theoretical ecology.

[1]  Michael D. Cramer,et al.  A physiological analogy of the niche for projecting the potential distribution of plants , 2012 .

[2]  Glenn Marion,et al.  Parameter and uncertainty estimation for process‐oriented population and distribution models: data, statistics and the niche , 2012 .

[3]  S. Higgins,et al.  Temperature dependence of the reproduction niche and its relevance for plant species distributions , 2012 .

[4]  S. Higgins,et al.  Connecting dynamic vegetation models to data – an inverse perspective , 2012 .

[5]  Glenn Marion,et al.  Biotic modifiers, environmental modulation and species distribution models , 2012 .

[6]  Carsten F. Dormann,et al.  Towards novel approaches to modelling biotic interactions in multispecies assemblages at large spatial extents , 2012 .

[7]  M. Kearney.  Metabolic theory, life history and the distribution of a terrestrial ectotherm , 2012 .

[8]  Dirk R. Schmatz,et al.  Climate, competition and connectivity affect future migration and ranges of European trees , 2012 .

[9]  F. Schurr,et al.  Forecasting species ranges by statistical estimation of ecological niches and spatial population dynamics , 2012 .

[10]  Elizabeth Pennisi,et al.  Animal ecology. Global tracking of small animals gains momentum. , 2011, Science.

[11]  Andreas Huth,et al.  Statistical inference for stochastic simulation models--theory and application. , 2011, Ecology letters.

[12]  M. Araújo,et al.  21st century climate change threatens mountain flora unequally across Europe , 2011 .

[13]  Martin Wikelski,et al.  Space Use of Bumblebees (Bombus spp.) Revealed by Radio-Tracking , 2011, PloS one.

[14]  G. Mace,et al.  Beyond Predictions: Biodiversity Conservation in a Changing Climate , 2011, Science.

[15]  Ran Nathan,et al.  Spread of North American wind-dispersed trees in future environments. , 2011, Ecology letters.

[16]  W. Bond,et al.  Effects of Harvesting Flowers from Shrubs on the Persistence and Abundance of Wild Shrub Populations at Multiple Spatial Extents , 2011, Conservation biology : the journal of the Society for Conservation Biology.

[17]  Wilfried Thuiller,et al.  Effects of competition on tree radial‐growth vary in importance but not in intensity along climatic gradients , 2011 .

[18]  H. D. Cooper,et al.  Scenarios for Global Biodiversity in the 21st Century , 2010, Science.

[19]  N. Mouquet,et al.  Biodiversity and Climate Change: Integrating Evolutionary and Ecological Responses of Species and Communities , 2010 .

[20]  I. Chuine.  Why does phenology drive species distribution? , 2010, Philosophical Transactions of the Royal Society B: Biological Sciences.

[21]  R. Stone.  Conservation ecology. Home, home outside the range? , 2010, Science.

[22]  F. Schurr,et al.  The making of a rapid plant invader: genetic diversity and differentiation in the native and invaded range of Senecio inaequidens , 2010, Molecular ecology.

[23]  Arnaud Estoup,et al.  Reconstructing routes of invasion using genetic data: why, how and so what? , 2010, Molecular ecology.

[24]  O. François,et al.  Approximate Bayesian Computation (ABC) in practice. , 2010, Trends in ecology & evolution.

[25]  Wilfried Thuiller,et al.  BioMove – an integrated platform simulating the dynamic response of species to environmental change , 2010 .

[26]  R. Whittaker,et al.  Beyond scarcity: citizen science programmes as useful tools for conservation biogeography , 2010 .

[27]  Damaris Zurell,et al.  The virtual ecologist approach: simulating data and observers , 2010 .

[28]  M. Hooten,et al.  Statistical Agent-Based Models for Discrete Spatio-Temporal Systems , 2010 .

[29]  F. Schurr,et al.  Estimating demographic models for the range dynamics of plant species , 2010 .

[30]  R. Holt.  Bringing the Hutchinsonian niche into the 21st century: Ecological and evolutionary perspectives , 2009, Proceedings of the National Academy of Sciences.

[31]  Jorge Soberón,et al.  Niches and distributional areas: Concepts, methods, and assumptions , 2009, Proceedings of the National Academy of Sciences.

[32]  Stephen P. Ellner,et al.  Integral projection models for populations in temporally varying environments , 2009 .

[33]  Ran Nathan,et al.  Long‐Distance Seed Dispersal , 2009 .

[34]  Ran Nathan,et al.  Increases in air temperature can promote wind-driven dispersal and spread of plants , 2009, Proceedings of the Royal Society B: Biological Sciences.

[35]  S. Ritchie,et al.  Integrating biophysical models and evolutionary theory to predict climatic impacts on species’ ranges: the dengue mosquito Aedes aegypti in Australia , 2009 .

[36]  K. Gaston,et al.  Geographic range limits of species , 2009, Proceedings of the Royal Society B: Biological Sciences.

[37]  M. Kearney,et al.  Mechanistic niche modelling: combining physiological and spatial data to predict species' ranges. , 2009, Ecology letters.

[38]  R. O’Hara,et al.  Estimation of Rates of Births, Deaths, and Immigration from Mark–Recapture Data , 2009, Biometrics.

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

[40]  Andrew M. Latimer,et al.  Experimental biogeography: the role of environmental gradients in high geographic diversity in Cape Proteaceae , 2009, Oecologia.

[41]  Kara A. Moore.  Fluctuating patch boundaries in a native annual forb: the roles of niche and dispersal limitation. , 2009, Ecology.

[42]  Otso Ovaskainen,et al.  Tracking butterfly movements with harmonic radar reveals an effect of population age on movement distance , 2008, Proceedings of the National Academy of Sciences.

[43]  Orr Spiegel,et al.  Mechanisms of long-distance seed dispersal. , 2008, Trends in ecology & evolution.

[44]  Wilfried Thuiller,et al.  Predicting extinction risks under climate change: coupling stochastic population models with dynamic bioclimatic habitat models , 2008, Biology Letters.

[45]  H. Mooney,et al.  Toward a Global Biodiversity Observing System , 2008, Science.

[46]  M. Kearney,et al.  Modelling species distributions without using species distributions: the cane toad in Australia under current and future climates , 2008 .

[47]  Ran Nathan,et al.  Plant fecundity and seed dispersal in spatially heterogeneous environments: models, mechanisms and estimation , 2008 .

[48]  J. Gascoigne,et al.  Allee Effects in Ecology and Conservation , 2008 .

[49]  M. Geber.  To the edge: studies of species' range limits. , 2008, The New phytologist.

[50]  Thomas H Hutchinson,et al.  The ecological niche of Daphnia magna characterized using population growth rate. , 2008, Ecology.

[51]  M. Sykes,et al.  In Plant Ecology, Evolution and Systematics Predicting Global Change Impacts on Plant Species' Distributions: Future Challenges , 2022 .

[52]  L. Vierling,et al.  Lidar: shedding new light on habitat characterization and modeling , 2008 .

[53]  O. Ovaskainen,et al.  State-space models of individual animal movement. , 2008, Trends in ecology & evolution.

[54]  J. Eischeid,et al.  Constructing Retrospective Gridded Daily Precipitation and Temperature Datasets for the Conterminous United States , 2008 .

[55]  R. Knox,et al.  Reconstructed historical land cover and biophysical parameters for studies of land-atmosphere interactions within the eastern United States , 2008 .

[56]  B. Sæther,et al.  A latitudinal gradient in climate effects on seabird demography: results from interspecific analyses , 2007, Global Change Biology.

[57]  Andrew Jarvis,et al.  Hole-filled SRTM for the globe Version 4 , 2008 .

[58]  Mevin B. Hooten,et al.  A hierarchical Bayesian non-linear spatio-temporal model for the spread of invasive species with application to the Eurasian Collared-Dove , 2008, Environmental and Ecological Statistics.

[59]  G. Gibson,et al.  Estimation of multiple transmission rates for epidemics in heterogeneous populations , 2007, Proceedings of the National Academy of Sciences.

[60]  Lauren B. Buckley,et al.  Linking Traits to Energetics and Population Dynamics to Predict Lizard Ranges in Changing Environments , 2007, The American Naturalist.

[61]  Richard M Cowling,et al.  Conservation planning in a changing world. , 2007, Trends in ecology & evolution.

[62]  A. Peterson,et al.  Evidence of climatic niche shift during biological invasion. , 2007, Ecology letters.

[63]  Frank M. Schurr,et al.  Colonization and persistence ability explain the extent to which plant species fill their potential range , 2007 .

[64]  H. Mooney,et al.  Shifting plant phenology in response to global change. , 2007, Trends in ecology & evolution.

[65]  F. Schurr,et al.  A flexible modelling framework linking the spatio-temporal dynamics of plant genotypes and populations : Application to gene flow from transgenic forests , 2007 .

[66]  K. Johst,et al.  How does intraspecific density regulation influence metapopulation synchrony and persistence? , 2007, Journal of theoretical biology.

[67]  C Jessica E Metcalf,et al.  Why evolutionary biologists should be demographers. , 2007, Trends in ecology & evolution.

[68]  Drew W. Purves,et al.  Environmental heterogeneity, bird-mediated directed dispersal, and oak woodland dynamics in Mediterranean Spain , 2007 .

[69]  J. Gamarra,et al.  Metapopulation Ecology , 2007 .

[70]  J. Wickham,et al.  Completion of the 2001 National Land Cover Database for the conterminous United States , 2007 .

[71]  Peter E. Thornton,et al.  Model Up-scaling in Landscape Research , 2007 .

[72]  Heikki Haario,et al.  DRAM: Efficient adaptive MCMC , 2006, Stat. Comput..

[73]  James S. Clark,et al.  A future for models and data in environmental science. , 2006, Trends in ecology & evolution.

[74]  Karin Johst,et al.  Does Red Noise Increase or Decrease Extinction Risk? Single Extreme Events versus Series of Unfavorable Conditions , 2006, The American Naturalist.

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

[76]  C. Graham,et al.  Niche Conservatism: Integrating Evolution, Ecology, and Conservation Biology , 2005 .

[77]  D. Sumpter,et al.  The role of competition and clustering in population dynamics , 2005, Proceedings of the Royal Society B: Biological Sciences.

[78]  W. Thuiller,et al.  Predicting species distribution: offering more than simple habitat models. , 2005, Ecology letters.

[79]  Robert D. Holt,et al.  Temporal Autocorrelation Can Enhance the Persistence and Abundance of Metapopulations Comprised of Coupled Sinks , 2005, The American Naturalist.

[80]  T. Benton,et al.  Causes and consequences of animal dispersal strategies: relating individual behaviour to spatial dynamics , 2005, Biological reviews of the Cambridge Philosophical Society.

[81]  R. Holt,et al.  Species' borders: A unifying theme in ecology , 2005 .

[82]  James S. Clark,et al.  Why environmental scientists are becoming Bayesians , 2004 .

[83]  Jonathan M. Chase,et al.  The metacommunity concept: a framework for multi-scale community ecology , 2004 .

[84]  James H. Brown,et al.  Toward a metabolic theory of ecology , 2004 .

[85]  O. Phillips,et al.  Extinction risk from climate change , 2004, Nature.

[86]  Michael L. Cain,et al.  Methods for estimating long-distance dispersal , 2003 .

[87]  Jonathan M. Chase,et al.  Ecological Niches: Linking Classical and Contemporary Approaches , 2003 .

[88]  Justin M. J. Travis,et al.  Dispersal evolution during invasions , 2002 .

[89]  Isabelle Chuine,et al.  Phenology is a major determinant of tree species range , 2001 .

[90]  R. Holt,et al.  Allee Effects, Invasion Pinning, and Species’ Borders , 2001, The American Naturalist.

[91]  H. Pulliam.  On the relationship between niche and distribution , 2000 .

[92]  Ran Nathan,et al.  Spatial patterns of seed dispersal, their determinants and consequences for recruitment. , 2000, Trends in ecology & evolution.

[93]  M. Cody.  Slow-motion population dynamics in Mojave Desert perennial plants , 2000 .

[94]  C. Parmesan,et al.  Poleward shifts in geographical ranges of butterfly species associated with regional warming , 1999, Nature.

[95]  Stephen R. Baillie,et al.  Patterns of natal and breeding dispersal in birds , 1998 .

[96]  M. Kirkpatrick,et al.  Evolution of a Species' Range , 1997, The American Naturalist.

[97]  S. Sinha,et al.  Unusual dynamics of extinction in a simple ecological model. , 1996, Proceedings of the National Academy of Sciences of the United States of America.

[98]  Tony Rebelo,et al.  Sasol proteas: A field guide to the proteas of southern Africa , 1995 .

[99]  Alan Hastings,et al.  Complex interactions between dispersal and dynamics: Lessons from coupled logistic equations , 1993 .

[100]  P. Holgate,et al.  Matrix Population Models. , 1990 .

[101]  C. Stringer,et al.  Evolution of a species , 1985 .

[102]  T. Bellows.  The Descriptive Properties of Some Models for Density Dependence , 1981 .

[103]  G. Hutchinson,et al.  An Introduction to Population Ecology , 1978 .

[104]  Sze-Bi Hsu,et al.  On Global Stability of a Predator-Prey System , 1978 .

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

[106]  J. Maynard Smith,et al.  The Stability of Predator‐Prey Systems , 1973 .

[107]  R. Macarthur.  Mathematical Ecology and Its Place among the Sciences. (Book Reviews: Geographical Ecology. Patterns in the Distribution of Species) , 1974 .

[108]  A. Nicholson.  An outline of the dynamics of animal populations. , 1954 .

[109]  L. Birch,et al.  Experimental Background to the Study of the Distribution and Abundance of Insects: I. The Influence of Temperature, Moisture and Food on the Innate Capacity for Increase of Three Grain Beetles , 1953 .

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

[111]  George W. Tyler,et al.  The Evolution of Species , 1871, The British and foreign medico-chirurgical review.