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Planktonic functional diversity changes in synchrony with lake ecosystem state

Managing ecosystems to effectively preserve function and services requires reliable tools that can infer changes in the stability and dynamics of a system. Conceptually, functional diversity (FD) appears as a sensitive and viable monitoring metric stemming from suggestions that FD is a universally i...

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Autores principales: O'Brien, Duncan A., Gal, Gideon, Thackeray, Stephen J., Matsuzaki, Shin‐ichiro S., Clements, Christopher F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10100413/
https://www.ncbi.nlm.nih.gov/pubmed/36370051
http://dx.doi.org/10.1111/gcb.16485
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author O'Brien, Duncan A.
Gal, Gideon
Thackeray, Stephen J.
Matsuzaki, Shin‐ichiro S.
Clements, Christopher F.
author_facet O'Brien, Duncan A.
Gal, Gideon
Thackeray, Stephen J.
Matsuzaki, Shin‐ichiro S.
Clements, Christopher F.
author_sort O'Brien, Duncan A.
collection PubMed
description Managing ecosystems to effectively preserve function and services requires reliable tools that can infer changes in the stability and dynamics of a system. Conceptually, functional diversity (FD) appears as a sensitive and viable monitoring metric stemming from suggestions that FD is a universally important measure of biodiversity and has a mechanistic influence on ecological processes. It is however unclear whether changes in FD consistently occur prior to state responses or vice versa, with no current work on the temporal relationship between FD and state to support a transition towards trait‐based indicators. There is consequently a knowledge gap regarding when functioning changes relative to biodiversity change and where FD change falls in that sequence. We therefore examine the lagged relationship between planktonic FD and abundance‐based metrics of system state (e.g. biomass) across five highly monitored lake communities using both correlation and cutting edge non‐linear empirical dynamic modelling approaches. Overall, phytoplankton and zooplankton FD display synchrony with lake state but each lake is idiosyncratic in the strength of relationship. It is therefore unlikely that changes in plankton FD are identifiable before changes in more easily collected abundance metrics. These results highlight the power of empirical dynamic modelling in disentangling time lagged relationships in complex multivariate ecosystems, but suggest that FD cannot be generically viable as an early indicator. Individual lakes therefore require consideration of their specific context and any interpretation of FD across systems requires caution. However, FD still retains value as an alternative state measure or a trait representation of biodiversity when considered at the system level.
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spelling pubmed-101004132023-04-14 Planktonic functional diversity changes in synchrony with lake ecosystem state O'Brien, Duncan A. Gal, Gideon Thackeray, Stephen J. Matsuzaki, Shin‐ichiro S. Clements, Christopher F. Glob Chang Biol Research Articles Managing ecosystems to effectively preserve function and services requires reliable tools that can infer changes in the stability and dynamics of a system. Conceptually, functional diversity (FD) appears as a sensitive and viable monitoring metric stemming from suggestions that FD is a universally important measure of biodiversity and has a mechanistic influence on ecological processes. It is however unclear whether changes in FD consistently occur prior to state responses or vice versa, with no current work on the temporal relationship between FD and state to support a transition towards trait‐based indicators. There is consequently a knowledge gap regarding when functioning changes relative to biodiversity change and where FD change falls in that sequence. We therefore examine the lagged relationship between planktonic FD and abundance‐based metrics of system state (e.g. biomass) across five highly monitored lake communities using both correlation and cutting edge non‐linear empirical dynamic modelling approaches. Overall, phytoplankton and zooplankton FD display synchrony with lake state but each lake is idiosyncratic in the strength of relationship. It is therefore unlikely that changes in plankton FD are identifiable before changes in more easily collected abundance metrics. These results highlight the power of empirical dynamic modelling in disentangling time lagged relationships in complex multivariate ecosystems, but suggest that FD cannot be generically viable as an early indicator. Individual lakes therefore require consideration of their specific context and any interpretation of FD across systems requires caution. However, FD still retains value as an alternative state measure or a trait representation of biodiversity when considered at the system level. John Wiley and Sons Inc. 2022-11-12 2023-02 /pmc/articles/PMC10100413/ /pubmed/36370051 http://dx.doi.org/10.1111/gcb.16485 Text en © 2022 The Authors. Global Change Biology published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
O'Brien, Duncan A.
Gal, Gideon
Thackeray, Stephen J.
Matsuzaki, Shin‐ichiro S.
Clements, Christopher F.
Planktonic functional diversity changes in synchrony with lake ecosystem state
title Planktonic functional diversity changes in synchrony with lake ecosystem state
title_full Planktonic functional diversity changes in synchrony with lake ecosystem state
title_fullStr Planktonic functional diversity changes in synchrony with lake ecosystem state
title_full_unstemmed Planktonic functional diversity changes in synchrony with lake ecosystem state
title_short Planktonic functional diversity changes in synchrony with lake ecosystem state
title_sort planktonic functional diversity changes in synchrony with lake ecosystem state
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10100413/
https://www.ncbi.nlm.nih.gov/pubmed/36370051
http://dx.doi.org/10.1111/gcb.16485
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