Linking key human-environment theories to inform the sustainability of coral reefs.

coral reef fisheries human environment markets social-ecological system socioeconomic sustainability

Journal

Current biology : CB
ISSN: 1879-0445
Titre abrégé: Curr Biol
Pays: England
ID NLM: 9107782

Informations de publication

Date de publication:
20 06 2022
Historique:
received: 14 10 2021
revised: 06 03 2022
accepted: 20 04 2022
pubmed: 15 5 2022
medline: 24 6 2022
entrez: 14 5 2022
Statut: ppublish

Résumé

Effective solutions to the ongoing "coral reef crisis" will remain limited until the underlying drivers of coral reef degradation are better understood. Here, we conduct a global-scale study of how four key metrics of ecosystem states and processes on coral reefs (top predator presence, reef fish biomass, trait diversity, and parrotfish scraping potential) are explained by 11 indicators based on key human-environment theories from the social sciences. Our global analysis of >1,500 reefs reveals three key findings. First, the proximity of the nearest market has the strongest and most consistent relationships with these ecosystem metrics. This finding is in keeping with a body of terrestrial research on how market accessibility shapes agricultural practices, but the integration of these concepts in marine systems is nascent. Second, our global study shows that resource conditions tend to display a n-shaped relationship with socioeconomic development. Specifically, the probabilities of encountering a top predator, fish biomass, and fish trait diversity were highest where human development was moderate but lower where development was either high or low. This finding contrasts with previous regional-scale research demonstrating an environmental Kuznets curve hypothesis (which predicts a U-shaped relationship between socioeconomic development and resource conditions). Third, together, our ecosystem metrics are best explained by the integration of different human-environment theories. Our best model includes the interactions between indicators from different theoretical perspectives, revealing how marine reserves can have different outcomes depending on how far they are from markets and human settlements, as well as the size of the surrounding human population.

Identifiants

pubmed: 35568029
pii: S0960-9822(22)00673-X
doi: 10.1016/j.cub.2022.04.055
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

2610-2620.e4

Commentaires et corrections

Type : CommentIn

Informations de copyright

Copyright © 2022 Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of interests The authors declare no competing interests.

Auteurs

Joshua E Cinner (JE)

ARC Centre of Excellence for Coral Reef Studies, James Cook University, Townsville, QLD 4811, Australia. Electronic address: joshua.cinner@jcu.edu.au.

Jessica Zamborain-Mason (J)

ARC Centre of Excellence for Coral Reef Studies, James Cook University, Townsville, QLD 4811, Australia; College of Science and Engineering, James Cook University, 1 James Cook Drive, Douglas, Townsville, QLD 4811, Australia; Harvard T.H. Chan School of Public Health, Boston, MA, USA.

Eva Maire (E)

Lancaster Environment Centre, Lancaster University, Lancaster LA1 4YQ, UK.

Andrew S Hoey (AS)

ARC Centre of Excellence for Coral Reef Studies, James Cook University, Townsville, QLD 4811, Australia.

Nicholas A J Graham (NAJ)

Lancaster Environment Centre, Lancaster University, Lancaster LA1 4YQ, UK.

David Mouillot (D)

MARBEC, University Montpellier, CNRS, Ifremer, IRD, Montpellier, France; Institut Universitaire de France (IUF), Paris, France.

Sébastien Villéger (S)

MARBEC, University Montpellier, CNRS, Ifremer, IRD, Montpellier, France.

Sebastian Ferse (S)

Leibniz Centre for Tropical Marine Research, 28359 Bremen, Germany.

Stewart Lockie (S)

Cairns Institute, James Cook University, Cairns, QLD, Australia.

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Classifications MeSH