Assessing trait-based approach to long-term monitoring of soft-bottom macrobenthic assemblages in a polluted estuary

The use of biological traits analysis and functional diversity has emerged as a valuable tool for assessing anthropogenic impacts or disturbances on coastal communities. In this study, we applied this approach to evaluate the long-term variation in soft-bottom macrobenthic assemblages from 1998 to 2...

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Autores: Sánchez Moyano, Juan Emilio, García-Adiego, Emilio M., Estacio, Francisco J., García Asencio, Isabel
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2026
País:España
Institución:Universidad de Sevilla (US)
Repositorio:idUS. Depósito de Investigación de la Universidad de Sevilla
OAI Identifier:oai:idus.us.es:11441/183441
Acceso en línea:https://hdl.handle.net/11441/183441
https://doi.org/10.1016/j.ecss.2025.109680
Access Level:acceso abierto
Palabra clave:Odiel estuaryFunctional diversityHeavy metalDredgingSubtidal communitiesSouth-West Spain
Functional diversity
Heavy metal
Dredging
Subtidal communities
South-West Spain
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spelling Assessing trait-based approach to long-term monitoring of soft-bottom macrobenthic assemblages in a polluted estuarySánchez Moyano, Juan EmilioGarcía-Adiego, Emilio M.Estacio, Francisco J.García Asencio, IsabelOdiel estuaryFunctional diversityHeavy metalDredgingSubtidal communitiesSouth-West SpainFunctional diversityHeavy metalDredgingSubtidal communitiesSouth-West SpainThe use of biological traits analysis and functional diversity has emerged as a valuable tool for assessing anthropogenic impacts or disturbances on coastal communities. In this study, we applied this approach to evaluate the long-term variation in soft-bottom macrobenthic assemblages from 1998 to 2016 in the highly urbanized and industrialized Odiel-Tinto estuary. The assemblages were structured along the natural gradient from the estuary to the marine environment, although anthropogenic pressures, such as dredging and heavy metal contamination, played a decisive role in shaping functional composition. Functional indices, such as functional richness and Rao's Q, proved to be more sensitive indicators of environmental changes than traditional taxonomic indices. In the inner zones, species richness and functional diversity were significantly lower, with communities dominated by small-sized opportunistic species typical of unstable environments. In contrast, the outer marine zones supported a more diverse range of feeding modes and functional traits. Traits related to body size, larval or egg development, feeding modes, and AMBI categories exhibited clear responses to environmental stressors, providing valuable insights into the resilience and recovery potential of macrobenthic communities. This study enhances our understanding of estuarine ecosystem responses to anthropogenic pressures and offers essential data for global estuarine conservation efforts, contributing to the formulation of management strategies applicable to similar environments worldwide.ElsevierZoología2026info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdftext/htmlhttps://hdl.handle.net/11441/183441https://doi.org/10.1016/j.ecss.2025.109680reponame:idUS. Depósito de Investigación de la Universidad de Sevillainstname:Universidad de Sevilla (US)InglésEstuarine, Coastal and Shelf Science, 329, 109680. https://doi.org/10.1016/j.ecss.2025.109680info:eu-repo/semantics/openAccessoai:idus.us.es:11441/1834412026-06-17T12:51:07Z
dc.title.none.fl_str_mv Assessing trait-based approach to long-term monitoring of soft-bottom macrobenthic assemblages in a polluted estuary
title Assessing trait-based approach to long-term monitoring of soft-bottom macrobenthic assemblages in a polluted estuary
spellingShingle Assessing trait-based approach to long-term monitoring of soft-bottom macrobenthic assemblages in a polluted estuary
Sánchez Moyano, Juan Emilio
Odiel estuaryFunctional diversityHeavy metalDredgingSubtidal communitiesSouth-West Spain
Functional diversity
Heavy metal
Dredging
Subtidal communities
South-West Spain
title_short Assessing trait-based approach to long-term monitoring of soft-bottom macrobenthic assemblages in a polluted estuary
title_full Assessing trait-based approach to long-term monitoring of soft-bottom macrobenthic assemblages in a polluted estuary
title_fullStr Assessing trait-based approach to long-term monitoring of soft-bottom macrobenthic assemblages in a polluted estuary
title_full_unstemmed Assessing trait-based approach to long-term monitoring of soft-bottom macrobenthic assemblages in a polluted estuary
title_sort Assessing trait-based approach to long-term monitoring of soft-bottom macrobenthic assemblages in a polluted estuary
dc.creator.none.fl_str_mv Sánchez Moyano, Juan Emilio
García-Adiego, Emilio M.
Estacio, Francisco J.
García Asencio, Isabel
author Sánchez Moyano, Juan Emilio
author_facet Sánchez Moyano, Juan Emilio
García-Adiego, Emilio M.
Estacio, Francisco J.
García Asencio, Isabel
author_role author
author2 García-Adiego, Emilio M.
Estacio, Francisco J.
García Asencio, Isabel
author2_role author
author
author
dc.contributor.none.fl_str_mv Zoología
dc.subject.none.fl_str_mv Odiel estuaryFunctional diversityHeavy metalDredgingSubtidal communitiesSouth-West Spain
Functional diversity
Heavy metal
Dredging
Subtidal communities
South-West Spain
topic Odiel estuaryFunctional diversityHeavy metalDredgingSubtidal communitiesSouth-West Spain
Functional diversity
Heavy metal
Dredging
Subtidal communities
South-West Spain
description The use of biological traits analysis and functional diversity has emerged as a valuable tool for assessing anthropogenic impacts or disturbances on coastal communities. In this study, we applied this approach to evaluate the long-term variation in soft-bottom macrobenthic assemblages from 1998 to 2016 in the highly urbanized and industrialized Odiel-Tinto estuary. The assemblages were structured along the natural gradient from the estuary to the marine environment, although anthropogenic pressures, such as dredging and heavy metal contamination, played a decisive role in shaping functional composition. Functional indices, such as functional richness and Rao's Q, proved to be more sensitive indicators of environmental changes than traditional taxonomic indices. In the inner zones, species richness and functional diversity were significantly lower, with communities dominated by small-sized opportunistic species typical of unstable environments. In contrast, the outer marine zones supported a more diverse range of feeding modes and functional traits. Traits related to body size, larval or egg development, feeding modes, and AMBI categories exhibited clear responses to environmental stressors, providing valuable insights into the resilience and recovery potential of macrobenthic communities. This study enhances our understanding of estuarine ecosystem responses to anthropogenic pressures and offers essential data for global estuarine conservation efforts, contributing to the formulation of management strategies applicable to similar environments worldwide.
publishDate 2026
dc.date.none.fl_str_mv 2026
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/11441/183441
https://doi.org/10.1016/j.ecss.2025.109680
url https://hdl.handle.net/11441/183441
https://doi.org/10.1016/j.ecss.2025.109680
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Estuarine, Coastal and Shelf Science, 329, 109680.
https://doi.org/10.1016/j.ecss.2025.109680
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
text/html
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:idUS. Depósito de Investigación de la Universidad de Sevilla
instname:Universidad de Sevilla (US)
instname_str Universidad de Sevilla (US)
reponame_str idUS. Depósito de Investigación de la Universidad de Sevilla
collection idUS. Depósito de Investigación de la Universidad de Sevilla
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