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Predicting changes in molluscan spatial distributions in mangrove forests in response to sea level rise

Mollusks are an important component of the mangrove ecosystem, and the vertical distributions of molluscan species in this ecosystem are primarily dictated by tidal inundation. Thus, sea level rise (SLR) may have profound effects on mangrove mollusk communities. Here, we used dynamic empirical model...

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Autores principales: Ma, Wei, Wang, Mao, Fu, Haifeng, Tang, Chaoyi, Wang, Wenqing
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/PMC9277612/
https://www.ncbi.nlm.nih.gov/pubmed/35845368
http://dx.doi.org/10.1002/ece3.9033
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author Ma, Wei
Wang, Mao
Fu, Haifeng
Tang, Chaoyi
Wang, Wenqing
author_facet Ma, Wei
Wang, Mao
Fu, Haifeng
Tang, Chaoyi
Wang, Wenqing
author_sort Ma, Wei
collection PubMed
description Mollusks are an important component of the mangrove ecosystem, and the vertical distributions of molluscan species in this ecosystem are primarily dictated by tidal inundation. Thus, sea level rise (SLR) may have profound effects on mangrove mollusk communities. Here, we used dynamic empirical models, based on measurements of surface elevation change, sediment accretion, and molluscan zonation patterns, to predict changes in molluscan spatial distributions in response to different sea level rise rates in the mangrove forests of Zhenzhu Bay (Guangxi, China). The change in surface elevation was 4.76–9.61 mm year(−1) during the study period (2016–2020), and the magnitude of surface‐elevation change decreased exponentially as original surface elevation increased. Based on our model results, we predicted that mangrove mollusks might successfully adapt to a low rate of SLR (2.00–4.57 mm year(−1)) by 2100, with mollusks moving seaward and those in the lower intertidal zones expanding into newly available zones. However, as SLR rate increased (4.57–8.14 mm year(−1)), our models predicted that surface elevations would decrease beginning in the high intertidal zones and gradually spread to the low intertidal zones. Finally, at high rates of SLR (8.14–16.00 mm year(−1)), surface elevations were predicted to decrease across the elevation gradient, with mollusks moving landward and species in higher intertidal zones blocked by landward barriers. Tidal inundation and the consequent increases in interspecific competition and predation pressure were predicted to threaten the survival of many molluscan groups in higher intertidal zones, especially arboreal and infaunal mollusks at the landward edge of the mangroves, resulting in a substantial reduction in the abundance of original species on the landward edge. Thus, future efforts to conserve mangrove floral and faunal diversity should prioritize species restricted to landward mangrove areas and protect potential species habitats.
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spelling pubmed-92776122022-07-15 Predicting changes in molluscan spatial distributions in mangrove forests in response to sea level rise Ma, Wei Wang, Mao Fu, Haifeng Tang, Chaoyi Wang, Wenqing Ecol Evol Research Articles Mollusks are an important component of the mangrove ecosystem, and the vertical distributions of molluscan species in this ecosystem are primarily dictated by tidal inundation. Thus, sea level rise (SLR) may have profound effects on mangrove mollusk communities. Here, we used dynamic empirical models, based on measurements of surface elevation change, sediment accretion, and molluscan zonation patterns, to predict changes in molluscan spatial distributions in response to different sea level rise rates in the mangrove forests of Zhenzhu Bay (Guangxi, China). The change in surface elevation was 4.76–9.61 mm year(−1) during the study period (2016–2020), and the magnitude of surface‐elevation change decreased exponentially as original surface elevation increased. Based on our model results, we predicted that mangrove mollusks might successfully adapt to a low rate of SLR (2.00–4.57 mm year(−1)) by 2100, with mollusks moving seaward and those in the lower intertidal zones expanding into newly available zones. However, as SLR rate increased (4.57–8.14 mm year(−1)), our models predicted that surface elevations would decrease beginning in the high intertidal zones and gradually spread to the low intertidal zones. Finally, at high rates of SLR (8.14–16.00 mm year(−1)), surface elevations were predicted to decrease across the elevation gradient, with mollusks moving landward and species in higher intertidal zones blocked by landward barriers. Tidal inundation and the consequent increases in interspecific competition and predation pressure were predicted to threaten the survival of many molluscan groups in higher intertidal zones, especially arboreal and infaunal mollusks at the landward edge of the mangroves, resulting in a substantial reduction in the abundance of original species on the landward edge. Thus, future efforts to conserve mangrove floral and faunal diversity should prioritize species restricted to landward mangrove areas and protect potential species habitats. John Wiley and Sons Inc. 2022-07-13 /pmc/articles/PMC9277612/ /pubmed/35845368 http://dx.doi.org/10.1002/ece3.9033 Text en © 2022 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
Ma, Wei
Wang, Mao
Fu, Haifeng
Tang, Chaoyi
Wang, Wenqing
Predicting changes in molluscan spatial distributions in mangrove forests in response to sea level rise
title Predicting changes in molluscan spatial distributions in mangrove forests in response to sea level rise
title_full Predicting changes in molluscan spatial distributions in mangrove forests in response to sea level rise
title_fullStr Predicting changes in molluscan spatial distributions in mangrove forests in response to sea level rise
title_full_unstemmed Predicting changes in molluscan spatial distributions in mangrove forests in response to sea level rise
title_short Predicting changes in molluscan spatial distributions in mangrove forests in response to sea level rise
title_sort predicting changes in molluscan spatial distributions in mangrove forests in response to sea level rise
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9277612/
https://www.ncbi.nlm.nih.gov/pubmed/35845368
http://dx.doi.org/10.1002/ece3.9033
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