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Journal article

Predictability in community dynamics

Abstract:
The coupling between community composition and climate change spans a gradient from no lags to strong lags. The no-lag hypothesis is the foundation of many ecophysiological models, correlative species distribution modelling and climate reconstruction approaches. Simple lag hypotheses have become prominent in disequilibrium ecology, proposing that communities track climate change following a fixed function or with a time delay. However, more complex dynamics are possible and may lead to memory effects and alternate unstable states. We develop graphical and analytic methods for assessing these scenarios and show that these dynamics can appear in even simple models. The overall implications are that (1) complex community dynamics may be common and (2) detailed knowledge of past climate change and community states will often be necessary yet sometimes insufficient to make predictions of a community's future state.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1111/ele.12736

Authors


More by this author
Institution:
University of Oxford
Division:
SSD
Department:
SOGE
Sub department:
Environmental Change Institute
Role:
Author
More by this author
Institution:
University of Oxford
Oxford college:
Balliol College
Role:
Author


Publisher:
John Wiley & Sons Ltd
Journal:
Ecology Letters More from this journal
Volume:
20
Issue:
3
Pages:
293–306
Publication date:
2017-02-01
Acceptance date:
2016-12-22
DOI:
EISSN:
1461-0248
ISSN:
1461-023X


Keywords:
Pubs id:
pubs:679219
UUID:
uuid:bbdbf1ef-cbe7-4967-93f6-cdbb8dad4b9c
Local pid:
pubs:679219
Source identifiers:
679219
Deposit date:
2017-02-10

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