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Cue identification in phenology: A case study of the predictive performance of current statistical tools

Abstract:

1) Changes in the timing of life‐history events (phenology) are a widespread consequence of climate change. Predicting population resilience requires knowledge of how phenology is likely to change over time, which can be gained by identifying the specific environmental cues that drive phenological events. Cue identification is often achieved with statistical testing of candidate cues. As the number of methods used to generate predictions increases, assessing the predictive...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1111/1365-2656.13038

Authors


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Institution:
University of Oxford
Division:
MPLS Division
Department:
Zoology
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Zoology
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Zoology
Role:
Author
More from this funder
Name:
Natural Environment Research Council
Grant:
NE/K006274/1
Publisher:
Wiley
Journal:
Journal of Animal Ecology More from this journal
Volume:
88
Issue:
9
Pages:
1428-1440
Publication date:
2019-06-04
Acceptance date:
2019-05-11
DOI:
EISSN:
1365-2656
ISSN:
0021-8790
Pmid:
31162635
Language:
English
Keywords:
Pubs id:
pubs:1015645
UUID:
uuid:e7ab4e45-9753-4f86-a39c-5469782e3385
Local pid:
pubs:1015645
Source identifiers:
1015645
Deposit date:
2019-07-18

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