Abstract
Increased stress on coastal ecosystems, such as coral reefs, seagrasses, kelp forests, and other habitats, can make them shift toward degraded, often algae-dominated or barren communities. This has already occurred in many places around the world, calling for new approaches to identify where such regime shifts may be triggered. Theoretical work predicts that the spatial structure of habitat-forming species should exhibit changes prior to regime shifts, such as an increase in spatial autocorrelation. However, extending this theory to marine systems requires theoretical models connecting field-supported ecological mechanisms to data and spatial patterns at relevant scales. To do so, we built a spatially explicit model of subtropical coral communities based on experiments and long-term datasets from Rapa Nui (Easter Island, Chile), to test whether spatial indicators could signal upcoming regime shifts in coral communities. Spatial indicators anticipated degradation of coral communities following increases in frequency of bleaching events or coral mortality. However, they were generally unable to signal shifts that followed herbivore loss, a widespread and well-researched source of degradation, likely because herbivory, despite being critical for the maintenance of corals, had comparatively little effect on their selforganization. Informative trends were found under both equilibrium and nonequilibrium conditions but were determined by the type of direct neighbor interactions between corals, which remain relatively poorly documented. These inconsistencies show that while this approach is promising, its application to marine systems will require detailed information about the type of stressor and filling current gaps in our knowledge of interactions at play in coral communities.
Original language | English |
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Pages (from-to) | 204-218 |
Number of pages | 15 |
Journal | The American Naturalist |
Volume | 203 |
Issue number | 2 |
Early online date | 2 Jan 2024 |
DOIs | |
Publication status | Published - Feb 2024 |
Bibliographical note
Publisher Copyright:© 2024 The University of Chicago. All rights reserved. Published by The University of Chicago Press for The American Society of Naturalists.
Funding
This work was made possible by funding from the European Union's Horizon 2020 research and innovation program under Marie Sklodowska-Curie grant agreement 896159 (INDECOSTAB) and by Fondecyt 1181719 to E.A.W. Fondecyt 1130167 to E.A.W. was also instrumental in field data acquisition. S.A.N. acknowledges support from Fondecyt 1200636, ANID PIA/ BASAL FB0002 (CAPES), Millennium Science Initiative ProgramNCN19_056 (SECOS), and COPAS COASTAL ANID FB210021 (COPAS COASTAL), whereas E.A.W. and S.A.N. acknowledge support from Nucleo Milenio ICM_NCN19_056 (NUTME). We are grateful to those who assisted in obtaining the field-based estimates on which our modeling approach was built, especially Rodrigo Alarcon, Catalina Ruz, Joon Hyung Kim, Beatriz Salgado, Nicolas Riquelme, Teresa Navarrete F., Alba Medrano, Alejandra Herrera, Itziar Burgues, and Alejandro Perez-Matus. This article benefited from extremely detailed and constructive comments from editors and anonymous reviewers, to whom we are thankful.
Funders | Funder number |
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COPAS | FB210021, ICM_NCN19_056 |
Fonde-cyt | 1200636, ANID PIA/ BASAL FB0002 |
Millennium Science Initiative Program NCN19_056 | |
Union’s Horizon 2020 research and innovation program | 896159 |
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior | |
Fondo Nacional de Desarrollo Científico y Tecnológico | 1130167, 1181719 |
Fondo Nacional de Desarrollo Científico y Tecnológico |
Keywords
- Animals
- Anthozoa
- Coral Reefs
- Ecosystem
- Fishes
- Forests