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Interactive life-history traits predict sensitivity of plants and animals to temporal autocorrelation.

Abstract:

Temporal autocorrelation in demographic processes is an important aspect of population dynamics, but a comprehensive examination of its effects on different life‐history strategies is lacking. We use matrix population models from 454 plant and animal populations to simulate stochastic population growth rates (log λs) under different temporal autocorrelations in demographic rates, using simulated and observed covariation among rates. We then test for differences in sensitivities, or changes of...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1111/ele.12892

Authors


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Role:
Author
ORCID:
0000-0002-1949-4448
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Division:
MPLS
Department:
Zoology
Sub department:
Zoology
Role:
Author
Publisher:
Wiley Publisher's website
Journal:
Ecology Letters Journal website
Volume:
21
Issue:
2
Pages:
275-286
Place of publication:
England
Publication date:
2017-12-20
Acceptance date:
2017-11-09
DOI:
EISSN:
1461-0248
ISSN:
1461-023X
Pmid:
29266843

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