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Dynamics‐based characterization and classification of biodiversity indicators

Various biodiversity indicators, such as species richness, total abundance, and species diversity indices, have been developed to capture the state of ecological communities over space and time. As biodiversity is a multifaceted concept, it is important to understand the dimension of biodiversity re...

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Autores principales: Otomo, Yuri, Masuda, Reiji, Osada, Yutaka, Kawatsu, Kazutaka, Kondoh, Michio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10325886/
https://www.ncbi.nlm.nih.gov/pubmed/37424938
http://dx.doi.org/10.1002/ece3.10271
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author Otomo, Yuri
Masuda, Reiji
Osada, Yutaka
Kawatsu, Kazutaka
Kondoh, Michio
author_facet Otomo, Yuri
Masuda, Reiji
Osada, Yutaka
Kawatsu, Kazutaka
Kondoh, Michio
author_sort Otomo, Yuri
collection PubMed
description Various biodiversity indicators, such as species richness, total abundance, and species diversity indices, have been developed to capture the state of ecological communities over space and time. As biodiversity is a multifaceted concept, it is important to understand the dimension of biodiversity reflected by each indicator for successful conservation and management. Here we utilized the responsiveness of biodiversity indicators' dynamics to environmental changes (i.e., environmental responsiveness) as a signature of the dimension of biodiversity. We present a method for characterizing and classifying biodiversity indicators according to environmental responsiveness and apply the methodology to monitoring data for a marine fish community under intermittent anthropogenic warm water discharge. Our analysis showed that 10 biodiversity indicators can be classified into three super‐groups based on the dimension of biodiversity that is reflected. Group I (species richness and community mean of latitudinal center of distribution (cCOD)) showed the greatest robustness to temperature changes; Group II (species diversity and total abundance) showed an abrupt change in the middle of the monitoring period, presumably due to a change in temperature; Group III (species evenness) exhibited the highest sensitivity to environmental changes, including temperature. These results had several ecological implications. First, the responsiveness of species diversity and species evenness to temperature changes might be related to changes in the species abundance distribution. Second, the similar environmental responsiveness of species richness and cCOD implies that fish migration from lower latitudes is a major driver of species compositional changes. The study methodology may be useful in selecting appropriate indicators for efficient biodiversity monitoring.
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spelling pubmed-103258862023-07-08 Dynamics‐based characterization and classification of biodiversity indicators Otomo, Yuri Masuda, Reiji Osada, Yutaka Kawatsu, Kazutaka Kondoh, Michio Ecol Evol Research Articles Various biodiversity indicators, such as species richness, total abundance, and species diversity indices, have been developed to capture the state of ecological communities over space and time. As biodiversity is a multifaceted concept, it is important to understand the dimension of biodiversity reflected by each indicator for successful conservation and management. Here we utilized the responsiveness of biodiversity indicators' dynamics to environmental changes (i.e., environmental responsiveness) as a signature of the dimension of biodiversity. We present a method for characterizing and classifying biodiversity indicators according to environmental responsiveness and apply the methodology to monitoring data for a marine fish community under intermittent anthropogenic warm water discharge. Our analysis showed that 10 biodiversity indicators can be classified into three super‐groups based on the dimension of biodiversity that is reflected. Group I (species richness and community mean of latitudinal center of distribution (cCOD)) showed the greatest robustness to temperature changes; Group II (species diversity and total abundance) showed an abrupt change in the middle of the monitoring period, presumably due to a change in temperature; Group III (species evenness) exhibited the highest sensitivity to environmental changes, including temperature. These results had several ecological implications. First, the responsiveness of species diversity and species evenness to temperature changes might be related to changes in the species abundance distribution. Second, the similar environmental responsiveness of species richness and cCOD implies that fish migration from lower latitudes is a major driver of species compositional changes. The study methodology may be useful in selecting appropriate indicators for efficient biodiversity monitoring. John Wiley and Sons Inc. 2023-07-06 /pmc/articles/PMC10325886/ /pubmed/37424938 http://dx.doi.org/10.1002/ece3.10271 Text en © 2023 The Authors. Ecology and Evolution 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
Otomo, Yuri
Masuda, Reiji
Osada, Yutaka
Kawatsu, Kazutaka
Kondoh, Michio
Dynamics‐based characterization and classification of biodiversity indicators
title Dynamics‐based characterization and classification of biodiversity indicators
title_full Dynamics‐based characterization and classification of biodiversity indicators
title_fullStr Dynamics‐based characterization and classification of biodiversity indicators
title_full_unstemmed Dynamics‐based characterization and classification of biodiversity indicators
title_short Dynamics‐based characterization and classification of biodiversity indicators
title_sort dynamics‐based characterization and classification of biodiversity indicators
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10325886/
https://www.ncbi.nlm.nih.gov/pubmed/37424938
http://dx.doi.org/10.1002/ece3.10271
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