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Linking environmental filtering and disequilibrium to biogeography with a community climate framework

Authors: Brian J. Enquist; Brian J. Enquist; Nathan J. B. Kraft; John C. Donoghue; John C. Donoghue; David Nogués-Bravo; Brody Sandel; +11 Authors

Linking environmental filtering and disequilibrium to biogeography with a community climate framework

Abstract

We present a framework to measure the strength of environmental filtering and disequilibrium of the species composition of a local community across time, relative to past, current, and future climates. We demonstrate the framework by measuring the impact of climate change on New World forests, integrating data for climate niches of more than 14 000 species, community composition of 471 New World forest plots, and observed climate across the most recent glacial–interglacial interval. We show that a majority of communities have species compositions that are strongly filtered and are more in equilibrium with current climate than random samples from the regional pool. Variation in the level of current community disequilibrium can be predicted from Last Glacial Maximum climate and will increase with near‐future climate change.

Countries
Denmark, Denmark, United Kingdom
Keywords

EUROPE, Time Factors, 330, Climate Change, FUNCTIONAL TRAIT, Environmental Sciences & Ecology, Forests, lag, ECOLOGY, MECHANISMS, PHYLOGENETICS, environmental filtering,, Theoretical, Models, FORESTS, fundamental niche, PLANT-COMMUNITIES, SCALE, disequilibrium, Science & Technology, Ecology, regional species pool, 0602 Ecology, environmental filtering, Models, Theoretical, New World forests, climate mismatch, 0501 Ecological Applications, climate change, NICHE EVOLUTION, DENSITY, community assembly, community structure, Americas, Life Sciences & Biomedicine

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    70
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
70
Top 1%
Top 10%
Top 10%
Green
bronze