Alpha and beta diversity across coastal marine social-ecological systems: Implications for conservation

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Alpha and beta diversity across coastal marine social-ecological systems : Implications for conservation. / Lazzari, Natali; Martín-López, Berta; Sanabria-Fernandez, Jose A. et al.

In: Ecological Indicators, Vol. 109, 105786, 02.2020.

Research output: Journal contributionsJournal articlesResearchpeer-review

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Lazzari N, Martín-López B, Sanabria-Fernandez JA, Becerro MA. Alpha and beta diversity across coastal marine social-ecological systems: Implications for conservation. Ecological Indicators. 2020 Feb;109:105786. doi: 10.1016/j.ecolind.2019.105786

Bibtex

@article{92b28baebec04603a3adc5fce82a0289,
title = "Alpha and beta diversity across coastal marine social-ecological systems: Implications for conservation",
abstract = "Cumulative anthropogenic activities in coastal regions are a major threat to their marine biodiversity. The consideration of coastal marine areas as social-ecological systems (CMSESs) can be useful for marine biodiversity conservation. This integrative approach incorporates social information that can link anthropogenic activities to marine biodiversity, providing opportunities for improving conservation policies tailored to the specific reality of the CMSESs. Here, we assessed the beta and alpha diversity of the shallow littoral fish communities present in the Andalusian CMSESs and explored how they relate to socioeconomic and marine environmental variables. We used underwater visual surveys to estimate the fish abundance data needed to calculate the alpha and beta diversity of the fish species. We quantified the species and functional beta diversity using abundance-based data. We also quantified species richness index as indicators of species alpha diversity, and functional evenness as indicators of functional alpha diversity. We found that the association of marine environmental and socioeconomic variables with biodiversity varied with CMSES. Empirical inclusion of biodiversity in social-ecological systems research of marine and coastal areas can provide insights on human-nature dynamics. This can contribute to design more effective marine biodiversity conservation programs that consider both the socioeconomic and marine environmental characteristics of each CMSES.",
keywords = "Andalusia, Coastal management, Littoral fish, Marine biodiversity, Mediterranean Sea, Biology, Ecosystems Research",
author = "Natali Lazzari and Berta Mart{\'i}n-L{\'o}pez and Sanabria-Fernandez, {Jose A.} and Becerro, {Mikel A.}",
year = "2020",
month = feb,
doi = "10.1016/j.ecolind.2019.105786",
language = "English",
volume = "109",
journal = "Ecological Indicators",
issn = "1470-160X",
publisher = "Elsevier B.V.",

}

RIS

TY - JOUR

T1 - Alpha and beta diversity across coastal marine social-ecological systems

T2 - Implications for conservation

AU - Lazzari, Natali

AU - Martín-López, Berta

AU - Sanabria-Fernandez, Jose A.

AU - Becerro, Mikel A.

PY - 2020/2

Y1 - 2020/2

N2 - Cumulative anthropogenic activities in coastal regions are a major threat to their marine biodiversity. The consideration of coastal marine areas as social-ecological systems (CMSESs) can be useful for marine biodiversity conservation. This integrative approach incorporates social information that can link anthropogenic activities to marine biodiversity, providing opportunities for improving conservation policies tailored to the specific reality of the CMSESs. Here, we assessed the beta and alpha diversity of the shallow littoral fish communities present in the Andalusian CMSESs and explored how they relate to socioeconomic and marine environmental variables. We used underwater visual surveys to estimate the fish abundance data needed to calculate the alpha and beta diversity of the fish species. We quantified the species and functional beta diversity using abundance-based data. We also quantified species richness index as indicators of species alpha diversity, and functional evenness as indicators of functional alpha diversity. We found that the association of marine environmental and socioeconomic variables with biodiversity varied with CMSES. Empirical inclusion of biodiversity in social-ecological systems research of marine and coastal areas can provide insights on human-nature dynamics. This can contribute to design more effective marine biodiversity conservation programs that consider both the socioeconomic and marine environmental characteristics of each CMSES.

AB - Cumulative anthropogenic activities in coastal regions are a major threat to their marine biodiversity. The consideration of coastal marine areas as social-ecological systems (CMSESs) can be useful for marine biodiversity conservation. This integrative approach incorporates social information that can link anthropogenic activities to marine biodiversity, providing opportunities for improving conservation policies tailored to the specific reality of the CMSESs. Here, we assessed the beta and alpha diversity of the shallow littoral fish communities present in the Andalusian CMSESs and explored how they relate to socioeconomic and marine environmental variables. We used underwater visual surveys to estimate the fish abundance data needed to calculate the alpha and beta diversity of the fish species. We quantified the species and functional beta diversity using abundance-based data. We also quantified species richness index as indicators of species alpha diversity, and functional evenness as indicators of functional alpha diversity. We found that the association of marine environmental and socioeconomic variables with biodiversity varied with CMSES. Empirical inclusion of biodiversity in social-ecological systems research of marine and coastal areas can provide insights on human-nature dynamics. This can contribute to design more effective marine biodiversity conservation programs that consider both the socioeconomic and marine environmental characteristics of each CMSES.

KW - Andalusia

KW - Coastal management

KW - Littoral fish

KW - Marine biodiversity

KW - Mediterranean Sea

KW - Biology

KW - Ecosystems Research

U2 - 10.1016/j.ecolind.2019.105786

DO - 10.1016/j.ecolind.2019.105786

M3 - Journal articles

VL - 109

JO - Ecological Indicators

JF - Ecological Indicators

SN - 1470-160X

M1 - 105786

ER -