Swab, Rebecca Marie4; Regan, Helen M.2; Matthies, Diethart3; Becker, Ute3; Bruun, Hans Henrik4
1 Ecology and Evolution, Department of Biology, Faculty of Science, Københavns Universitet2 University of California, Riverside3 Philipps-Universität Marburg4 Ecology and Evolution, Department of Biology, Faculty of Science, Københavns Universitet
Organisms are projected to shift their distribution ranges under climate change. The typical way to assess range shifts is by species distribution models (SDMs), which predict species’ responses to climate based solely on projected climatic suitability. However, life history traits can impact species’ responses to shifting habitat suitability. Additionally, it remains unclear if differences in vital rates across populations within a species can offset or exacerbate the effects of predicted changes in climatic suitability on population viability. In order to obtain a fuller understanding of the response of one species to projected climatic changes, we coupled demographic processes with predicted changes in suitable habitat for the monocarpic thistle Carlina vulgaris across northern Europe. We first developed a life history model with species-specific average fecundity and survival rates and linked it to a SDM that predicted changes in habitat suitability through time with changes in climatic variables. We then varied the demographic parameters based upon observed vital rates of local populations from a translocation experiment. Despite the fact that the SDM alone predicted C. vulgaris to be a climate “winner” overall, coupling it the model with a population model incorporating changes in demography and small-scale habitat suitability changes at smaller scales resulted in a matrix of stable, declining, and increasing patches. For populations predicted to experience declines or increases in abundances due to changes in habitat suitability, altered fecundity and survival rates can reverse projected population trends.
Ecography, 2015, Vol 38, Issue 3, p. 221-230
population dynamics; climate change; species distribution modelling; The Faculty of Science