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Caldwell IR, McClanahan TR, Oddenyo RM, Graham NA, Beger M, Vigliola L, Sandin SA, Friedlander AM, Randriamanantsoa B, Wantiez L, Green AL, Humphries AT, Hardt MJ, Caselle JE, Feary DA, Karkarey R, Jadot C, Hoey AS, Eurich JG, Wilson SK, Crane N, Tupper M, Ferse SC, Maire E, Mouillot D, Cinner JE. Protection efforts have resulted in ~10% of existing fish biomass on coral reefs. Proc Natl Acad Sci U S A 2024; 121:e2308605121. [PMID: 39374392 PMCID: PMC11494344 DOI: 10.1073/pnas.2308605121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Accepted: 07/16/2024] [Indexed: 10/09/2024] Open
Abstract
The amount of ocean protected from fishing and other human impacts has often been used as a metric of conservation progress. However, protection efforts have highly variable outcomes that depend on local conditions, which makes it difficult to quantify what coral reef protection efforts to date have actually achieved at a global scale. Here, we develop a predictive model of how local conditions influence conservation outcomes on ~2,600 coral reef sites across 44 ecoregions, which we used to quantify how much more fish biomass there is on coral reefs compared to a modeled scenario with no protection. Under the assumptions of our model, our study reveals that without existing protection efforts there would be ~10% less fish biomass on coral reefs. Thus, we estimate that coral reef protection efforts have led to approximately 1 in every 10 kg of existing fish biomass.
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Affiliation(s)
- Iain R. Caldwell
- Thriving Oceans Research Hub, School of Geosciences, University of Sydney, Camperdown, NSW2006, Australia
- College of Arts, Society and Education, James Cook University, Townsville, QLD4811, Australia
| | - Tim R. McClanahan
- Wildlife Conservation Society, Global Marine Program, Bronx, NY10460
- Wildlife Conservation Society, Kenya Marine Program, Mombasa80107, Kenya
| | - Remy M. Oddenyo
- Wildlife Conservation Society, Kenya Marine Program, Mombasa80107, Kenya
| | - Nicholas A.J. Graham
- Lancaster Environment Centre, Lancaster University, LancasterLA1 4YQ, United Kingdom
| | - Maria Beger
- School of Biology, Faculty of Biological Sciences, University of Leeds, LeedsLS2 9JT, United Kingdom
- Centre for Biodiversity and Conservation Science, School of Biological Sciences, University of Queensland, Brisbane, QLD4072, Australia
| | - Laurent Vigliola
- Écologie Marine Tropicale des Océans Pacifique et Indien research unit, Institut de Recherche pour le Développement, Université de la Réunion, Université de la Nouvelle-Calédonie, Institut Français de Recherche pour l'Exploitation de la Mer, CNRS, Nouméa, New Caledonia98800, France
| | - Stuart A. Sandin
- Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA92037
| | - Alan M. Friedlander
- Pristine Seas, National Geographic Society, Washington, DC20036
- Hawai’i Institute of Marine Biology, University of Hawai’i, Kāne’ohe, HI96744
| | | | - Laurent Wantiez
- Département des Sciences et Techniques, University of New Caledonia, Nouméa98851, New Caledonia
| | | | - Austin T. Humphries
- Department of Fisheries, Animal and Veterinary Sciences, University of Rhode Island, Kingston, RI02881
| | | | | | - David A. Feary
- General Organization for Conservation of Coral Reefs and Turtles in the Red Sea, Jeddah21431, Kingdom of Saudi Arabia
| | - Rucha Karkarey
- Lancaster Environment Centre, Lancaster University, LancasterLA1 4YQ, United Kingdom
- Nature Conservation Foundation, Mysore570017, India
| | | | - Andrew S. Hoey
- College of Science and Engineering, James Cook University, Townsville, QLD4811, Australia
| | - Jacob G. Eurich
- Marine Science Institute, University of California, Santa Barbara, CA93106
- Environmental Defense Fund, Santa Barbara, CA93106
| | - Shaun K. Wilson
- University of Western Australia, Oceans Institute, Crawley, Western Australia6009, Australia
- Marine Science Program, Science and Conservation Division, Department of Biodiversity, Conservation and Attractions, Kensington, Western Australia6151, Australia
| | - Nicole Crane
- Society For Conservation Biology, Smith Fellows Program, Washington, DC20005
- One People One Reef, Santa Cruz, CA95076
| | - Mark Tupper
- Centre for National Parks and Protected Areas, Institute of Science and the Environment, University of Cumbria, Ambleside, CumbriaLA22 9BB, United Kingdom
- Terra Nexus, Business Center 1, Meydan Hotel, Nad al Sheba, Dubai34252, United Arab Emirates
| | - Sebastian C.A. Ferse
- Department of Ecology, Leibniz Centre for Tropical Marine Research, Bremen28359, Germany
- Department of Marine Ecology, Faculty of Biology and Chemistry, University of Bremen, Bremen28359, Germany
- Faculty of Fisheries and Marine Sciences, Bogor Agricultural University, Bogor16680, Indonesia
| | - Eva Maire
- Lancaster Environment Centre, Lancaster University, LancasterLA1 4YQ, United Kingdom
- Marine Biodiversity, Exploitation, & Conservation (MARBEC), Université de Montpellier, CNRS, Institut Français de Recherche pour l'Exploitation de la Mer, Institut de Recherche pour le Développement, Montpellier34090, Cedex5, France
| | - David Mouillot
- Marine Biodiversity, Exploitation, & Conservation (MARBEC), Université de Montpellier, CNRS, Institut Français de Recherche pour l'Exploitation de la Mer, Institut de Recherche pour le Développement, Montpellier34090, Cedex5, France
- Institut Universitaire de France, Paris75480, France
| | - Joshua E. Cinner
- Thriving Oceans Research Hub, School of Geosciences, University of Sydney, Camperdown, NSW2006, Australia
- College of Arts, Society and Education, James Cook University, Townsville, QLD4811, Australia
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Anderson L, Houk P, Miller MGR, Cuetos-Bueno J, Graham C, Kanemoto K, Terk E, McLeod E, Beger M. Trait groups as management entities in a complex, multispecies reef fishery. CONSERVATION BIOLOGY : THE JOURNAL OF THE SOCIETY FOR CONSERVATION BIOLOGY 2022; 36:e13866. [PMID: 34811801 DOI: 10.1111/cobi.13866] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/18/2021] [Revised: 10/30/2021] [Accepted: 11/12/2021] [Indexed: 06/13/2023]
Abstract
Localized stressors compound the ongoing climate-driven decline of coral reefs, requiring natural resource managers to work with rapidly shifting paradigms. Trait-based adaptive management (TBAM) is a new framework to help address changing conditions by choosing and implementing management actions specific to species groups that share key traits, vulnerabilities, and management responses. In TBAM maintenance of functioning ecosystems is balanced with provisioning for human subsistence and livelihoods. We first identified trait-based groups of food fish in a Pacific coral reef with hierarchical clustering. Positing that trait-based groups performing comparable functions respond similarly to both stressors and management actions, we ascertained biophysical and socioeconomic drivers of trait-group biomass and evaluated their vulnerabilities with generalized additive models. Clustering identified 7 trait groups from 131 species. Groups responded to different drivers and displayed divergent vulnerabilities; human activities emerged as important predictors of community structuring. Biomass of small, solitary reef-associated species increased with distance from key fishing ports, and large, solitary piscivores exhibited a decline in biomass with distance from a port. Group biomass also varied in response to different habitat types, the presence or absence of reported dynamite fishing activity, and exposure to wave energy. The differential vulnerabilities of trait groups revealed how the community structure of food fishes is driven by different aspects of resource use and habitat. This inherent variability in the responses of trait-based groups presents opportunities to apply selective TBAM strategies for complex, multispecies fisheries. This approach can be widely adjusted to suit local contexts and priorities.
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Affiliation(s)
- Louise Anderson
- School of Biology, Faculty of Biological Sciences, University of Leeds, Leeds, UK
| | - Peter Houk
- Marine Laboratory, University of Guam, Mangilao, Guam
| | - Mark G R Miller
- School of Biology, Faculty of Biological Sciences, University of Leeds, Leeds, UK
| | - Javier Cuetos-Bueno
- Marine Laboratory, University of Guam, Mangilao, Guam
- The Nature Conservancy, Mangilao, Guam
| | - Curtis Graham
- Department of Marine Resources, Weno, Federated States of Micronesia
| | - Kriskitina Kanemoto
- FSM Ridge to Reef Program, Department of Marine Resources, Weno, Federated States of Micronesia
| | - Elizabeth Terk
- The Nature Conservancy, Kolonia, Federated States of Micronesia
| | | | - Maria Beger
- School of Biology, Faculty of Biological Sciences, University of Leeds, Leeds, UK
- Centre for Biodiversity and Conservation Science, The University of Queensland, St Lucia, Queensland, Australia
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Holbrook SJ, Wencélius J, Dubel AK, Adam TC, Cook DC, Hunter CE, Lauer M, Lester SE, Miller SD, Rassweiler A, Schmitt RJ. Spatial covariation in nutrient enrichment and fishing of herbivores in an oceanic coral reef ecosystem. ECOLOGICAL APPLICATIONS : A PUBLICATION OF THE ECOLOGICAL SOCIETY OF AMERICA 2022; 32:e2515. [PMID: 34918841 PMCID: PMC9285716 DOI: 10.1002/eap.2515] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/06/2021] [Revised: 07/07/2021] [Accepted: 07/30/2021] [Indexed: 05/28/2023]
Abstract
Both natural and anthropogenic stressors are increasing on coral reefs, resulting in large-scale loss of coral and potential shifts from coral- to macroalgae-dominated community states. Two factors implicated in shifts to macroalgae are nutrient enrichment and fishing of reef herbivores. Although either of these factors alone could facilitate establishment of macroalgae, reefs may be particularly vulnerable to coral-to-algae phase shifts in which strong bottom-up forcing from nutrient enrichment is accompanied by a weakening of herbivore control of macroalgae via intense fishing. We explored spatial heterogeneity and covariance in these drivers on reefs in the lagoons of Moorea, French Polynesia, where the local fishery heavily targets herbivorous fishes and there are spatially variable inputs of nutrients from agricultural fertilizers and wastewater systems. Spatial patterns of fishing and nutrient enrichment were not correlated at the two landscape scales we examined: among the 11 interconnected lagoons around the island or among major habitats (fringing reef, mid-lagoon, back reef) within a lagoon. This decoupling at the landscape scale resulted from patterns of covariation between enrichment and fishing that differed qualitatively between cross-shore and long-shore directions. At the cross-shore scale, nutrient enrichment declined but fishing increased from shore to the crest of the barrier reef. By contrast, nutrient enrichment and fishing were positively correlated in the long-shore direction, with both increasing with proximity to a pass in the barrier reef. Contrary to widespread assumptions in the scientific literature that human coastal population density correlates with impact on marine ecosystems and that fishing effort declines linearly with distance from the shore, these local stressors produced a complex spatial mosaic of reef vulnerabilities. Our findings support spatially explicit management involving the control of anthropogenic nutrients and strategic reductions in fishing pressure on herbivores by highlighting specific areas to target for management actions.
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Affiliation(s)
- Sally J. Holbrook
- Department of Ecology, Evolution, and Marine BiologyUniversity of CaliforniaSanta BarbaraCaliforniaUSA
- Marine Science InstituteUniversity of CaliforniaSanta BarbaraCaliforniaUSA
| | - Jean Wencélius
- Department of AnthropologySan Diego State UniversitySan DiegoCaliforniaUSA
| | - Alexandra K. Dubel
- Department of Biological ScienceFlorida State UniversityTallahasseeFloridaUSA
| | - Thomas C. Adam
- Marine Science InstituteUniversity of CaliforniaSanta BarbaraCaliforniaUSA
| | - Dana C. Cook
- Department of Ecology, Evolution, and Marine BiologyUniversity of CaliforniaSanta BarbaraCaliforniaUSA
- Marine Science InstituteUniversity of CaliforniaSanta BarbaraCaliforniaUSA
| | - Chelsea E. Hunter
- Department of AnthropologySan Diego State UniversitySan DiegoCaliforniaUSA
- Department of AnthropologyThe Ohio State UniversityColumbusOhioUSA
| | - Matthew Lauer
- Department of AnthropologySan Diego State UniversitySan DiegoCaliforniaUSA
| | - Sarah E. Lester
- Department of GeographyFlorida State UniversityTallahasseeFloridaUSA
| | - Scott D. Miller
- Department of Biological ScienceFlorida State UniversityTallahasseeFloridaUSA
| | - Andrew Rassweiler
- Department of Biological ScienceFlorida State UniversityTallahasseeFloridaUSA
| | - Russell J. Schmitt
- Department of Ecology, Evolution, and Marine BiologyUniversity of CaliforniaSanta BarbaraCaliforniaUSA
- Marine Science InstituteUniversity of CaliforniaSanta BarbaraCaliforniaUSA
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Assessing Potential Climatic and Human Pressures in Indonesian Coastal Ecosystems Using a Spatial Data-Driven Approach. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 2021. [DOI: 10.3390/ijgi10110778] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Blue carbon ecosystems are key for successful global climate change mitigation; however, they are one of the most threatened ecosystems on Earth. Thus, this study mapped the climatic and human pressures on the blue carbon ecosystems in Indonesia using multi-source spatial datasets. Data on moderate resolution imaging spectroradiometer (MODIS) ocean color standard mapped images, VIIRS (visible, infrared imaging radiometer suite) boat detection (VBD), global artificial impervious area (GAIA), MODIS surface reflectance (MOD09GA), MODIS land surface temperature (MOD11A2), and MODIS vegetation indices (MOD13A2) were combined using remote sensing and spatial analysis techniques to identify potential stresses. La Niña and El Niño phenomena caused sea surface temperature deviations to reach −0.5 to +1.2 °C. In contrast, chlorophyll-a deviations reached 22,121 to +0.5 mg m−3. Regarding fishing activities, most areas were under exploitation and relatively sustained. Concerning land activities, mangrove deforestation occurred in 560.69 km2 of the area during 2007–2016, as confirmed by a decrease of 84.9% in risk-screening environmental indicators. Overall, the potential pressures on Indonesia’s blue carbon ecosystems are varied geographically. The framework of this study can be efficiently adopted to support coastal and small islands zonation planning, conservation prioritization, and marine fisheries enhancement.
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Gouezo M, Fabricius K, Harrison P, Golbuu Y, Doropoulos C. Optimizing coral reef recovery with context-specific management actions at prioritized reefs. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2021; 295:113209. [PMID: 34346392 DOI: 10.1016/j.jenvman.2021.113209] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Revised: 06/06/2021] [Accepted: 06/30/2021] [Indexed: 06/13/2023]
Abstract
Assisting the natural recovery of coral reefs through local management actions is needed in response to increasing ecosystem disturbances in the Anthropocene. There is growing evidence that commonly used resilience-based passive management approaches may not be sufficient to maintain coral reef key functions. We synthesize and discuss advances in coral reef recovery research, and its application to coral reef conservation and restoration practices. We then present a framework to guide the decision-making of reef managers, scientists and other stakeholders, to best support reef recovery after a disturbance. The overall aim of this management framework is to catalyse reef recovery, to minimize recovery times, and to limit the need for ongoing management interventions into the future. Our framework includes two main stages: first, a prioritization method for assessment following a large-scale disturbance, which is based on a reef's social-ecological values, and on a classification of the likelihood of recovery or succession resulting in degraded, novel, hybrid or historical states. Second, a flow chart to assist with determining management actions for highly valued reefs. Potential actions are chosen based on the ecological attributes of the disturbed reef, defined during ecological assessments. Depending on the context, management actions may include (1) substrata rehabilitation actions to facilitate natural coral recruitment, (2) repopulating actions using active restoration techniques, (3) resilience-based management actions and (4) monitoring coral recruitment and growth to assess the effectiveness of management interventions. We illustrate the proposed decision framework with a case study of typhoon-damaged eastern outer reefs in Palau, Micronesia. The decisions made following this framework lead to the conclusion that some reefs may not return to their historical state for many decades. However, if motivation and funds are available, new management approaches can be explored to assist coral reefs at valued locations to return to a functional state providing key ecosystem services.
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Affiliation(s)
- Marine Gouezo
- Palau International Coral Reef Center, PO Box 7086, Koror, Palau; Marine Ecology Research Centre, Southern Cross University, PO Box 157, Lismore, NSW 2480, Australia.
| | - Katharina Fabricius
- Australian Institute of Marine Science, PMB 3, Townsville, QLD 4810, Australia.
| | - Peter Harrison
- Marine Ecology Research Centre, Southern Cross University, PO Box 157, Lismore, NSW 2480, Australia.
| | - Yimnang Golbuu
- Palau International Coral Reef Center, PO Box 7086, Koror, Palau.
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McDevitt-Irwin JM, Kappel C, Harborne AR, Mumby PJ, Brumbaugh DR, Micheli F. Coupled beta diversity patterns among coral reef benthic taxa. Oecologia 2021; 195:225-234. [PMID: 33394129 DOI: 10.1007/s00442-020-04826-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2019] [Accepted: 12/06/2020] [Indexed: 11/29/2022]
Abstract
Unraveling the processes that drive diversity patterns remains a central challenge for ecology, and an increased understanding is especially urgent to address and mitigate escalating diversity loss. Studies have primarily focused on singular taxonomic groups, but recent research has begun evaluating spatial diversity patterns across multiple taxonomic groups and suggests taxa may have congruence in their diversity patterns. Here, we use surveys of the coral reef benthic groups: scleractinian corals, macroalgae, sponges and gorgonians conducted in the Bahamian Archipelago across 27 sites to determine if there is congruence between taxonomic groups in their site-level diversity patterns (i.e. alpha diversity: number of species, and beta diversity: differences in species composition) while accounting for environmental predictors (i.e. depth, wave exposure, market gravity (i.e. human population size and distance to market), primary productivity, and grazing). Overall, we found that the beta diversities of these benthic groups were significant predictors of each other. The most consistent relationships existed with algae and coral, as their beta diversity was a significant predictor of every other taxa's beta diversity, potentially due to their strong biotic interactions and dominance on the reef. Conversely, we found no congruence patterns in the alpha diversity of the taxa. Market gravity and exposure showed the most prevalent correlation with both alpha and beta diversity for the taxa. Overall, our results suggest that coral reef benthic taxa can have spatial congruence in species composition, but not number of species, and that future research on biodiversity trends should consider that taxa may have non-independent patterns.
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Affiliation(s)
- Jamie M McDevitt-Irwin
- Stanford University, Hopkins Marine Station, 120 Ocean View Blvd, Pacific Grove, CA, 93950, USA.
| | - Carrie Kappel
- National Center for Ecological Analysis and Synthesis, 735 State Street, Santa Barbara, CA, 93101, USA
| | - Alastair R Harborne
- Institute of Environment and Department of Biological Sciences, Florida International University, 3000 NE 151 Street, North Miami, Florida, 33181, USA
| | - Peter J Mumby
- School of Biological Sciences, University of Queensland, Brisbane, St Lucia QLD, 4072, Australia
| | - Daniel R Brumbaugh
- Department of Environmental Studies, University of California, Santa Cruz, 115 McAllister Way, Santa Cruz, CA, 95060-5795, USA.,Elkhorn Slough National Estuarine Research Reserve, 1700 Elkhorn Road, Watsonville, CA, 95076, USA
| | - Fiorenza Micheli
- Stanford University, Hopkins Marine Station, 120 Ocean View Blvd, Pacific Grove, CA, 93950, USA.,Stanford Center for Ocean Solutions, 120 Ocean View Blvd, Pacific Grove, CA, 93950, USA
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Lam VYY, Doropoulos C, Bozec YM, Mumby PJ. Resilience Concepts and Their Application to Coral Reefs. Front Ecol Evol 2020. [DOI: 10.3389/fevo.2020.00049] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Thiault L, Weekers D, Curnock M, Marshall N, Pert PL, Beeden R, Dyer M, Claudet J. Predicting poaching risk in marine protected areas for improved patrol efficiency. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2020; 254:109808. [PMID: 31739093 DOI: 10.1016/j.jenvman.2019.109808] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/07/2019] [Revised: 10/25/2019] [Accepted: 10/28/2019] [Indexed: 05/05/2023]
Abstract
Marine Protected Areas (MPAs) are effective resource management and conservation measures, but their success is often hindered by non-compliant activities such as poaching. Understanding the risk factors and spatial patterns of poaching is therefore crucial for efficient law enforcement. Here, we conducted explanatory and predictive modelling of poaching from recreational fishers within no-take zones of Australia's Great Barrier Reef Marine Park (GBRMP) using Boosted Regression Trees (BRT). Combining patrol effort data, observed distribution of reported incidents, and spatially-explicit environmental and human risk factors, we modeled the occurrence probability of poaching incidents and mapped poaching risk at fine-scale. Our results: (i) show that fishing attractiveness, accessibility and fishing capacity play a major role in shaping the spatial patterns of poaching; (ii) revealed key interactions among these factors as well as tipping points beyond which poaching risk increased or decreased markedly; and (iii) highlight gaps in patrol effort that could be filled for improved resource allocation. The approach developed through this study provide a novel way to quantify the relative influence of multiple interacting factors in shaping poaching risk, and hold promises for replication across a broad range of marine or terrestrial settings.
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Affiliation(s)
- Lauric Thiault
- National Center for Scientific Research, PSL Université Paris, CRIOBE, USR 3278, CNRS-EPHE-UPVD, Maison des Océans, 195 Rue Saint-Jacques, 75005, Paris, France; Laboratoire D'Excellence CORAIL, Moorea, French Polynesia.
| | - Damian Weekers
- School of Social Science, University of Queensland, Michie Building, St Lucia, QLD, 4072, Australia; Great Barrier Reef Marine Park Authority, Townsville, QLD, 4810, Australia
| | - Matt Curnock
- CSIRO Land and Water, James Cook University, Townsville, QLD, 4811, Australia
| | - Nadine Marshall
- CSIRO Land and Water, James Cook University, Townsville, QLD, 4811, Australia
| | - Petina L Pert
- CSIRO Land and Water, James Cook University, Townsville, QLD, 4811, Australia
| | - Roger Beeden
- Great Barrier Reef Marine Park Authority, Townsville, QLD, 4810, Australia
| | - Michelle Dyer
- Great Barrier Reef Marine Park Authority, Townsville, QLD, 4810, Australia
| | - Joachim Claudet
- National Center for Scientific Research, PSL Université Paris, CRIOBE, USR 3278, CNRS-EPHE-UPVD, Maison des Océans, 195 Rue Saint-Jacques, 75005, Paris, France; Laboratoire D'Excellence CORAIL, Moorea, French Polynesia
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Darling ES, McClanahan TR, Maina J, Gurney GG, Graham NAJ, Januchowski-Hartley F, Cinner JE, Mora C, Hicks CC, Maire E, Puotinen M, Skirving WJ, Adjeroud M, Ahmadia G, Arthur R, Bauman AG, Beger M, Berumen ML, Bigot L, Bouwmeester J, Brenier A, Bridge TCL, Brown E, Campbell SJ, Cannon S, Cauvin B, Chen CA, Claudet J, Denis V, Donner S, Estradivari, Fadli N, Feary DA, Fenner D, Fox H, Franklin EC, Friedlander A, Gilmour J, Goiran C, Guest J, Hobbs JPA, Hoey AS, Houk P, Johnson S, Jupiter SD, Kayal M, Kuo CY, Lamb J, Lee MAC, Low J, Muthiga N, Muttaqin E, Nand Y, Nash KL, Nedlic O, Pandolfi JM, Pardede S, Patankar V, Penin L, Ribas-Deulofeu L, Richards Z, Roberts TE, Rodgers KS, Safuan CDM, Sala E, Shedrawi G, Sin TM, Smallhorn-West P, Smith JE, Sommer B, Steinberg PD, Sutthacheep M, Tan CHJ, Williams GJ, Wilson S, Yeemin T, Bruno JF, Fortin MJ, Krkosek M, Mouillot D. Social–environmental drivers inform strategic management of coral reefs in the Anthropocene. Nat Ecol Evol 2019; 3:1341-1350. [DOI: 10.1038/s41559-019-0953-8] [Citation(s) in RCA: 111] [Impact Index Per Article: 18.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2018] [Accepted: 06/24/2019] [Indexed: 01/23/2023]
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