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- W2907118179 endingPage "793" @default.
- W2907118179 startingPage "775" @default.
- W2907118179 abstract "Populations of many species are genetically adapted to local historical climate conditions. Yet most forecasts of species’ distributions under climate change have ignored local adaptation (LA), which may paint a false picture of how species will respond across their geographic ranges. We review recent studies that have incorporated intraspecific variation, a potential proxy for LA, into distribution forecasts, assess their strengths and weaknesses, and make recommendations for how to improve forecasts in the face of LA. The three methods used so far (species distribution models, response functions, and mechanistic models) reflect a trade-off between data availability and the ability to rigorously demonstrate LA to climate. We identify key considerations for incorporating LA into distribution forecasts that are currently missing from many published studies, including testing the spatial scale and pattern of LA, the confounding effects of LA to nonclimatic or biotic drivers, and the need to incorporate empirically based dispersal or gene flow processes. We suggest approaches to better evaluate these aspects of LA and their effects on species-level forecasts. In particular, we highlight demographic and dynamic evolutionary models as promising approaches to better integrate LA into forecasts, and emphasize the importance of independent model validation. Finally, we urge closer examination of how LA will alter the responses of central vs. marginal populations to allow stronger generalizations about changes in distribution and abundance in the face of LA." @default.
- W2907118179 created "2019-01-11" @default.
- W2907118179 creator A5020295185 @default.
- W2907118179 creator A5048733541 @default.
- W2907118179 creator A5053320127 @default.
- W2907118179 date "2019-01-24" @default.
- W2907118179 modified "2023-10-17" @default.
- W2907118179 title "Incorporating local adaptation into forecasts of species’ distribution and abundance under climate change" @default.
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