Predicting changes in the distribution and abundance of species under environmental change

Environmental changes are expected to alter both the distribution and the abundance of organisms. A disproportionate amount of past work has focused on distribution only, either documenting historical range shifts or predicting future occurrence patterns. However, simultaneous predictions of abundance and distribution across landscapes would be far more useful. To critically assess which approaches represent advances towards the goal of joint predictions of abundance and distribution, we review recent work on changing distributions and on effects of environmental drivers on single populations. Several methods have been used to predict changing distributions. Some of these can be easily modified to also predict abundance, but others cannot. In parallel, demographers have developed a much better understanding of how changing abiotic and biotic drivers will influence growth rate and abundance in single populations. However, this demographic work has rarely taken a landscape perspective and has largely ignored the effects of intraspecific density. We advocate a synthetic approach in which population models accounting for both density dependence and effects of environmental drivers are used to make integrated predictions of equilibrium abundance and distribution across entire landscapes. Such predictions would constitute an important step forward in assessing the ecological consequences of environmental changes.

[1]  J. Kingsolver,et al.  Biophysics, physiological ecology, and climate change: does mechanism matter? , 2005, Annual review of physiology.

[2]  S. Ellner,et al.  SIZE‐SPECIFIC SENSITIVITY: APPLYING A NEW STRUCTURED POPULATION MODEL , 2000 .

[3]  Johan Ehrlén,et al.  Nonlinear relationships between vital rates and state variables in demographic models. , 2011, Ecology.

[4]  T. Flatt,et al.  Winter weather affects asp viper Vipera aspis population dynamics through susceptible juveniles , 2005 .

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

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

[7]  D. Scott,et al.  Transient facilitative effects of heather on Scots pine along a grazing disturbance gradient in Scottish moorland , 2006 .

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

[9]  S. Jenouvrier Impacts of climate change on avian populations , 2013, Global change biology.

[10]  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 .

[11]  W. Morris,et al.  Variation in stochastic demography between and within central and peripheral regions in a widespread short-lived herb. , 2013, Ecology.

[12]  L. Rockwood Introduction to population ecology , 2006 .

[13]  John Sabo,et al.  Morris, W. F., and D. F. Doak. 2003. Quantitative Conservation Biology: Theory and Practice of Population Viability Analysis. Sinauer Associates, Sunderland, Massachusetts, USA , 2003 .

[14]  Richard W. Lucas,et al.  Using rainout shelters to evaluate climate change effects on the demography of Cryptantha flava , 2008 .

[15]  J. Ehrlén,et al.  Climate warming alters effects of management on population viability of threatened species: results from a 30‐year experimental study on a rare orchid , 2013, Global change biology.

[16]  Glen S. Brown Patterns and causes of demographic variation in a harvested moose population: evidence for the effects of climate and density-dependent drivers. , 2011, The Journal of animal ecology.

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

[18]  S. Tuljapurkar,et al.  PLANT-ANIMAL INTERACTIONS IN RANDOM ENVIRONMENTS: HABITAT-STAGE ELASTICITY, SEED PREDATORS, AND HURRICANES , 2005 .

[19]  W. Morris,et al.  The Geography of Demography: Long-Term Demographic Studies and Species Distribution Models Reveal a Species Border Limited by Adaptation , 2011, The American Naturalist.

[20]  Nicholas J Gotelli,et al.  Forecasting extinction risk with nonstationary matrix models. , 2006, Ecological applications : a publication of the Ecological Society of America.

[21]  H. Pulliam,et al.  Probabilistic and spatially variable niches inferred from demography , 2014 .

[22]  O. Eriksson,et al.  Ecological and evolutionary consequences of spatial and temporal variation in pre-dispersal seed predation , 2007 .

[23]  Damaris Zurell,et al.  Does probability of occurrence relate to population dynamics? , 2014, Ecography.

[24]  S. Higgins,et al.  Impacts of past habitat loss and future climate change on the range dynamics of South African Proteaceae , 2013 .

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

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

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

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

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

[30]  T. Clutton‐Brock,et al.  Climate, food, density and wildlife population growth rate. , 2007, The Journal of animal ecology.

[31]  L. Kruuk,et al.  Estimating the functional form for the density dependence from life history data. , 2008, Ecology.

[32]  Elizabeth E Crone,et al.  Causes and consequences of variation in plant population growth rate: a synthesis of matrix population models in a phylogenetic context. , 2010, Ecology letters.

[33]  Drew W. Purves,et al.  Climate‐related variation in mortality and recruitment determine regional forest‐type distributions , 2013 .

[34]  E. Menges,et al.  POPULATION VIABILITY WITH FIRE IN ERYNGIUM CUNEIFOLIUM: DECIPHERING A DECADE OF DEMOGRAPHIC DATA , 2004 .

[35]  William F. Morris,et al.  Demographic compensation and tipping points in climate-induced range shifts , 2010, Nature.

[36]  T. Clutton‐Brock,et al.  Decomposing variation in population growth into contributions from environment and phenotypes in an age-structured population , 2012, Proceedings of the Royal Society B: Biological Sciences.

[37]  A. Ellison,et al.  NITROGEN DEPOSITION AND EXTINCTION RISK IN THE NORTHERN PITCHER PLANT, SARRACENIA PURPUREA , 2002 .

[38]  R. Brys,et al.  Effect of Habitat Deterioration on Population Dynamics and Extinction Risks in a Previously Common Perennial , 2005 .

[39]  J. Ehrlén,et al.  Local environment and density-dependent feedbacks determine population growth in a forest herb , 2014, Oecologia.

[40]  M. Araújo,et al.  Uses and misuses of bioclimatic envelope modeling. , 2012, Ecology.

[41]  T. Ticktin,et al.  Interactions among fire, grazing, harvest and abiotic conditions shape palm demographic responses to disturbance , 2012 .

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

[43]  S. Townley,et al.  Global Asymptotic Stability of Density Dependent Integral Population Projection Models , 2022 .

[44]  Michael C Runge,et al.  Climate change threatens polar bear populations: a stochastic demographic analysis. , 2010, Ecology.

[45]  Z. Münzbergová,et al.  Effect of land use and climate change on the future fate of populations of an endemic species in central Europe , 2012 .

[46]  S. Ellner,et al.  Integral Projection Models for Species with Complex Demography , 2006, The American Naturalist.

[47]  Olivier Gimenez,et al.  REVIEW: Identifying links between vital rates and environment: a toolbox for the applied ecologist , 2014 .

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

[49]  D. Coomes,et al.  Microclimate moderates plant responses to macroclimate warming , 2013, Proceedings of the National Academy of Sciences.

[50]  Johan Ehrlén,et al.  Linking environmental variation to population dynamics of a forest herb , 2009 .

[51]  Johan Ehrlén,et al.  Interdependent effects of habitat quality and climate on population growth of an endangered plant , 2011 .

[52]  J. Ehrlén,et al.  Linking environmental and demographic data to predict future population viability of a perennial herb , 2010, Oecologia.

[53]  D. Doak,et al.  Book Review: Quantitative Conservation biology: Theory and Practice of Population Viability analysis , 2004, Landscape Ecology.

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

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

[56]  F. Weckerly MATRIX POPULATION MODELS: CONSTRUCTION ANALYSIS AND INTERPRETATION , 2008 .

[57]  M. Rees,et al.  Identifying the demographic processes relevant for species conservation in human-impacted areas: does the model matter? , 2012, Oecologia.

[58]  C. A. Howell,et al.  Niches, models, and climate change: Assessing the assumptions and uncertainties , 2009, Proceedings of the National Academy of Sciences.

[59]  Greg Dwyer,et al.  Combining Population‐Dynamic and Ecophysiological Models to Predict Climate‐Induced Insect Range Shifts , 2006, The American Naturalist.

[60]  Peter B. Adler,et al.  Forecasting plant community impacts of climate variability and change: when do competitive interactions matter? , 2012 .

[61]  Mauricio Lima,et al.  Deciphering the Effects of Climate on Animal Populations: Diagnostic Analysis Provides New Interpretation of Soay Sheep Dynamics , 2006, The American Naturalist.

[62]  P. Marquet,et al.  A Significant Upward Shift in Plant Species Optimum Elevation During the 20th Century , 2008, Science.

[63]  C. Krebs Ecology: The Experimental Analysis of Distribution and Abundance , 1973 .

[64]  G. Swartzman,et al.  Modelling Spatio-Temporal Effects of Environment on Atlantic Herring, Clupea harengus , 2000, Environmental Biology of Fishes.

[65]  M. Uriarte,et al.  Moving forward in global-change ecology: capitalizing on natural variability , 2013, Ecology and evolution.

[66]  Ø. Totland,et al.  Response to simulated climatic change in an alpine and subarctic pollen‐risk strategist, Silene acaulis , 1997 .

[67]  M. Araújo,et al.  The importance of biotic interactions for modelling species distributions under climate change , 2007 .

[68]  E. Álvarez-Buylla Density Dependence and Patch Dynamics in Tropical Rain Forests: Matrix Models and Applications to a Tree Species , 1994, The American Naturalist.

[69]  J. Maron,et al.  Herbivory: effects on plant abundance, distribution and population growth , 2006, Proceedings of the Royal Society B: Biological Sciences.

[70]  Roberto Salguero-Gómez,et al.  A demographic approach to study effects of climate change in desert plants , 2012, Philosophical Transactions of the Royal Society B: Biological Sciences.

[71]  Trevor Hastie,et al.  A statistical explanation of MaxEnt for ecologists , 2011 .

[72]  M. Watson,et al.  Is Evolution Necessary for Range Expansion? Manipulating Reproductive Timing of a Weedy Annual Transplanted beyond Its Range , 2005, The American Naturalist.

[73]  D. Matthies,et al.  Effects of habitat deterioration on population dynamics and extinction risk of an endangered, long‐lived perennial herb (Scorzonera humilis) , 2006 .

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

[75]  Seedling emergence responds to both seed source and recruitment site climates: a climate change experiment combining transplant and gradient approaches , 2013, Plant Ecology.

[76]  M. Sykes,et al.  Predicting global change impacts on plant species' distributions: Future challenges , 2008 .

[77]  J. Olesen,et al.  Plant performance in central and northern peripheral populations of the widespread Plantago coronopus , 2013 .

[78]  E. Menges,et al.  Burning creates contrasting demographic patterns in Polygala lewtonii (Polygalaceae): a cradle-to-grave analysis of multiple cohorts in a perennial herb , 2012 .

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

[80]  Shripad Tuljapurkar,et al.  A time to grow and a time to die: a new way to analyze the dynamics of size, light, age, and death of tropical trees. , 2009, Ecology.

[81]  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.

[82]  Dylan Z Childs,et al.  Building integral projection models: a user's guide , 2014, The Journal of animal ecology.

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

[84]  James O. Eckberg,et al.  Impacts of insect herbivory on cactus population dynamics: experimental demography across an environmental gradient , 2009 .

[85]  Boris Schröder,et al.  How to understand species’ niches and range dynamics: a demographic research agenda for biogeography , 2012 .

[86]  Cory Merow,et al.  Advancing population ecology with integral projection models: a practical guide , 2014 .

[87]  Sean M. McMahon,et al.  On using integral projection models to generate demographically driven predictions of species' distributions: development and validation using sparse data , 2014 .

[88]  J. Dahlgren,et al.  Alternative regression methods are not considered in Murtaugh (2009) or by ecologists in general. , 2010, Ecology letters.

[89]  D. Richardson,et al.  Inferring Process from Pattern in Plant Invasions: A Semimechanistic Model Incorporating Propagule Pressure and Environmental Factors , 2003, The American Naturalist.

[90]  Y. Buckley,et al.  Multiple life stages with multiple replicated density levels are required to estimate density dependence for plants. , 2009 .

[91]  L. Birch Experimental Background to the Study of the Distribution and Abundance of Insects: II. The Relation Between Innate Capacity for Increase in Numbers and the Abundance of Three Grain Beetles in Experimental Populations , 1953 .

[92]  C. Plutzar,et al.  Extinction debt of high-mountain plants under twenty-first-century climate change , 2012 .

[93]  P. Åberg Size‐Based Demography of the Seaweed Ascophyllum Nodosum in Stochastic Environments , 1992 .

[94]  T. Hastie,et al.  Finite-Sample Equivalence in Statistical Models for Presence-Only Data. , 2012, The annals of applied statistics.

[95]  K. Wiegand,et al.  Long-term demographic fluctuations in an orchid species driven by weather: implications for conservation planning , 2006 .

[96]  S. J. Arnold,et al.  Stochastic population dynamics in populations of western terrestrial garter snakes with divergent life histories. , 2011, Ecology.

[97]  Johan Ehrlén,et al.  Incorporating environmental change over succession in an integral projection model of population dynamics of a forest herb , 2011 .

[98]  M. Hooten,et al.  Climate influences the demography of three dominant sagebrush steppe plants. , 2011, Ecology.

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

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

[101]  Nicolas Schtickzelle,et al.  Each life stage matters: the importance of assessing the response to climate change over the complete life cycle in butterflies. , 2013, The Journal of animal ecology.

[102]  T. Coulson,et al.  Influence of Density and Climate on Population Dynamics of a Large Herbivore Under Harsh Environmental Conditions , 2010 .

[103]  J. Kingsolver,et al.  The demographic impacts of shifts in climate means and extremes on alpine butterflies , 2012 .