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Comparing temporal dynamics of compositional reorganization in long-term studies of birds and fish

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Penny_2023_Comparing_temporal_dynamics_EcoLett_14214_CCBY.pdf (904.6Kb)
Date
14/05/2023
Author
Penny, Amelia
Magurran, Anne
Dornelas , Maria
Keywords
Anthropocene
Biodiversity change
Compositional reorganization
Jaccard dissimilarity
Temporal beta diversity
Trajectory analysis
QH301 Biology
DAS
MCP
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Abstract
The composition of ecological assemblages has changed rapidly over the past century. Compositional reorganization rates are high relative to rates of alpha diversity change, creating an urgent need to understand how this compositional reorganization is progressing. We developed a quantitative framework for comparing temporal trajectories of compositional reorganization and applied it to two long-term bird and marine fish datasets. We then evaluated how the number and magnitude of short-term changes relate to overall rates of change. We found varied trajectories of turnover across birds and fish, with linear directional change predominating in birds and non-directional change more common in fish. The number of changes away from the baseline was a more consistent correlate of the overall rate of change than the magnitude of such changes, but large unreversed changes were found in both fish and birds, as were time series with accelerating compositional change. Compositional reorganization is progressing through a complex mix of temporal trajectories, including both threshold-like behaviour and the accumulation of repeated, linear change.
Citation
Penny , A , Magurran , A & Dornelas , M 2023 , ' Comparing temporal dynamics of compositional reorganization in long-term studies of birds and fish ' , Ecology Letters , vol. Early View , 14214 . https://doi.org/10.1111/ele.14214
Publication
Ecology Letters
Status
Peer reviewed
DOI
https://doi.org/10.1111/ele.14214
ISSN
1461-023X
Type
Journal article
Rights
Copyright © 2023 The Authors. Ecology Letters published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Description
Funding: Leverhulme Trust - RPG-2019-402.
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  • University of St Andrews Research
URI
http://hdl.handle.net/10023/27624

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