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Your search keyword '"Marine Spatial Ecology Laboratory [Brisbane] (MSEL)"' showing total 5 results
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5 results on '"Marine Spatial Ecology Laboratory [Brisbane] (MSEL)"'

1. Loss of coral reef growth capacity to track future increases in sea level

Author

Renée Carlton, Esmeralda Pérez-Cervantes, Ian C. Enochs, Chris T. Perry, Nuria Estrada-Saldívar, Kyle M. Morgan, Peter J. Mumby, Robert S. Steneck, Nicholas A. J. Graham, Evan N. Edinger, Gary N. Murphy, Paul S. Kench, Fraser A. Januchowski-Hartley, Shaun K. Wilson, Scott G. Smithers, Lauren Valentino, Chancey MacDonald, Damian P. Thomson, Adam Suchley, Michael D. E. Haywood, Robert Boenish, Graham Kolodziej, Margaret Wilson, Derek P. Manzello, Aimée B. A. Slangen, Lorenzo Alvarez-Filip, Marine Spatial Ecology Laboratory [Brisbane] (MSEL), University of Queensland [Brisbane], NOAA Atlantic Oceanographic and Meteorological Laboratory (AOML), National Oceanic and Atmospheric Administration (NOAA), MARine Biodiversity Exploitation and Conservation (UMR MARBEC), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Institut de Recherche pour le Développement (IRD), Rosenstiel School of Marine and Atmospheric Science (RSMAS), and University of Miami [Coral Gables]

Subjects
0106 biological sciences, 010504 meteorology & atmospheric sciences, Climate Change, Oceans and Seas, [SDV]Life Sciences [q-bio], Carbonates, 01 natural sciences, Ecosystem services, Animals, Seawater, 14. Life underwater, Environmental degradation, Reef, Atlantic Ocean, Indian Ocean, Sea level, 0105 earth and related environmental sciences, geography, Multidisciplinary, geography.geographical_feature_category, Coral Reefs, 010604 marine biology & hydrobiology, Coral reef, Models, Theoretical, Anthozoa, Water depth, Oceanography, 13. Climate action, Coral cover, [SDE]Environmental Sciences, Environmental science, Accretion (coastal management)
Abstract

Sea-level rise (SLR) is predicted to elevate water depths above coral reefs and to increase coastal wave exposure as ecological degradation limits vertical reef growth, but projections lack data on interactions between local rates of reef growth and sea level rise. Here we calculate the vertical growth potential of more than 200 tropical western Atlantic and Indian Ocean reefs, and compare these against recent and projected rates of SLR under different Representative Concentration Pathway (RCP) scenarios. Although many reefs retain accretion rates close to recent SLR trends, few will have the capacity to track SLR projections under RCP4.5 scenarios without sustained ecological recovery, and under RCP8.5 scenarios most reefs are predicted to experience mean water depth increases of more than 0.5 m by 2100. Coral cover strongly predicts reef capacity to track SLR, but threshold cover levels that will be necessary to prevent submergence are well above those observed on most reefs. Urgent action is thus needed to mitigate climate, sea-level and future ecological changes in order to limit the magnitude of future reef submergence.

Published
2018
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2. Restricted grouper reproductive migrations support community-based management

Author

Jan Robinson, Tapas Potuku, Glenn R. Almany, Michael L. Berumen, Richard J. Hamilton, Joshua E. Cinner, Peter A. Waldie, Kevin L. Rhodes, Mark A. Priest, Tane H. Sinclair-Taylor, Australian Research Council Centre of Excellence for Coral Reef Studies, James Cook University (JCU)-School of Marine and Tropical Biology, Laboratoire d'Excellence CORAIL (LabEX CORAIL), Institut de Recherche pour le Développement (IRD)-Université des Antilles et de la Guyane (UAG)-École des hautes études en sciences sociales (EHESS)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Université de La Réunion (UR)-Université de la Polynésie Française (UPF)-Université de la Nouvelle-Calédonie (UNC)-Institut d'écologie et environnement-Université des Antilles (UA), Centre de recherches insulaires et observatoire de l'environnement (CRIOBE), Université de Perpignan Via Domitia (UPVD)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS), Red Sea Research Centre (RSRC), King Abdullah University of Science and Technology (KAUST), Indo-Pacific Division, The Nature Conservancy, Kavieng Field Office, Marine Spatial Ecology Laboratory [Brisbane] (MSEL), University of Queensland [Brisbane], MarAlliance, Institut de Recherche pour le Développement (IRD)-Université des Antilles et de la Guyane (UAG)-École des hautes études en sciences sociales (EHESS)-École Pratique des Hautes Études (EPHE), and Université de Perpignan Via Domitia (UPVD)-École Pratique des Hautes Études (EPHE)

Subjects
0106 biological sciences, marine reserve, Population, epinephelidae, Biology, 010603 evolutionary biology, 01 natural sciences, fish spawning aggregation, 14. Life underwater, education, lcsh:Science, acoustic telemetry, [SDV.EE]Life Sciences [q-bio]/Ecology, environment, geography, education.field_of_study, Epinephelus fuscoguttatus, Multidisciplinary, geography.geographical_feature_category, Ecology, 010604 marine biology & hydrobiology, Marine reserve, Biology (Whole Organism), Coral reef, Community-based management, biology.organism_classification, Spawn (biology), Fishery, movement ecology, Marine protected area, lcsh:Q, Catchment area, Research Article, marine protected areas
Abstract

Conservation commonly requires trade-offs between social and ecological goals. For tropical small-scale fisheries, spatial scales of socially appropriate management are generally small—the median no-take locally managed marine area (LMMA) area throughout the Pacific is less than 1 km 2 . This is of particular concern for large coral reef fishes, such as many species of grouper, which migrate to aggregations to spawn. Current data suggest that the catchment areas (i.e. total area from which individuals are drawn) of such aggregations are at spatial scales that preclude effective community-based management with no-take LMMAs. We used acoustic telemetry and tag-returns to examine reproductive migrations and catchment areas of the grouper Epinephelus fuscoguttatus at a spawning aggregation in Papua New Guinea. Protection of the resultant catchment area of approximately 16 km 2 using a no-take LMMA is socially untenable here and throughout much of the Pacific region. However, we found that spawning migrations were skewed towards shorter distances. Consequently, expanding the current 0.2 km 2 no-take LMMA to 1–2 km 2 would protect approximately 30–50% of the spawning population throughout the non-spawning season. Contrasting with current knowledge, our results demonstrate that species with moderate reproductive migrations can be managed at scales congruous with spatially restricted management tools.

Published
2016
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3. Tradeoffs between fisheries harvest and the resilience of coral reefs

Author

Shay O’Farrell, Yves-Marie Bozec, Peter J. Mumby, Brian E. Luckhurst, J. Henrich Bruggemann, Marine Spatial Ecology Laboratory [Brisbane] (MSEL), University of Queensland [Brisbane], Laboratoire d'Excellence CORAIL (LabEX CORAIL), Institut de Recherche pour le Développement (IRD)-Université des Antilles et de la Guyane (UAG)-École des hautes études en sciences sociales (EHESS)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Université de La Réunion (UR)-Université de la Polynésie Française (UPF)-Université de la Nouvelle-Calédonie (UNC)-Institut d'écologie et environnement-Université des Antilles (UA), Ecologie marine tropicale dans les Océans Pacifique et Indien (ENTROPIE [Réunion]), Centre National de la Recherche Scientifique (CNRS)-Université de La Réunion (UR)-Institut de Recherche pour le Développement (IRD), and Marine Resources Division

Subjects
0106 biological sciences, [SDE.MCG]Environmental Sciences/Global Changes, Fisheries, 010603 evolutionary biology, 01 natural sciences, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, Animals, 14. Life underwater, Parrotfish, Aquaculture of coral, Reef, Ecosystem health, Multidisciplinary, geography.geographical_feature_category, [INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB], biology, sustainable fisheries, Resilience of coral reefs, Coral Reefs, herbivory, 010604 marine biology & hydrobiology, gear restriction, Fishes, Coral reef, 15. Life on land, Biological Sciences, biology.organism_classification, Fishery, Geography, climate change, Caribbean Region, 13. Climate action, coral persistence, Fisheries management, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Coral reef protection
Abstract

International audience; Many countries are legally obliged to embrace ecosystem-based approaches to fisheries management. Reductions in bycatch and physical habitat damage are now commonplace, but mitigating more sophisticated impacts associated with the ecological functions of target fisheries species are in their infancy. Here we model the impacts of a parrotfish fishery on the future state and resilience of Caribbean coral reefs, enabling us to view the tradeoff between harvest and ecosystem health. We find that the implementation of a simple and enforceable size restriction of >30 cm provides a win:win outcome in the short term, delivering both ecological and fisheries benefits and leading to increased yield and greater coral recovery rate for a given harvest rate. However, maintaining resilient coral reefs even until 2030 requires the addition of harvest limitations (

Published
2016
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4. Larval dispersal and movement patterns of coral reef fishes, and implications for marine reserve network design

Author

Kevin L. Rhodes, Glenn R. Almany, Aileen P. Maypa, Mary Gleason, Alison Green, Rebecca Weeks, Peter J. Mumby, Alan T. White, Rene A. Abesamis, The Nature Conservancy, ARC Centre of Excellence for Coral Reef Studies (CoralCoE), James Cook University (JCU), Coastal Conservation and Education Foundation (CCEF), Laboratoire d'Excellence CORAIL (LabEX CORAIL), Institut de Recherche pour le Développement (IRD)-Université des Antilles et de la Guyane (UAG)-École des hautes études en sciences sociales (EHESS)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Université de La Réunion (UR)-Université de la Polynésie Française (UPF)-Université de la Nouvelle-Calédonie (UNC)-Institut d'écologie et environnement-Université des Antilles (UA), Centre de recherches insulaires et observatoire de l'environnement (CRIOBE), Université de Perpignan Via Domitia (UPVD)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS), College of Aquaculture, Forestry and Natural Resource Management (CAFNRM), University of Hawai‘i [Mānoa] (UHM), Angelo King Center for Research and Environmental Management, Silliman University, Marine Spatial Ecology Laboratory [Brisbane] (MSEL), University of Queensland [Brisbane], Institut de Recherche pour le Développement (IRD)-Université des Antilles et de la Guyane (UAG)-École des hautes études en sciences sociales (EHESS)-École pratique des hautes études (EPHE), and Université de Perpignan Via Domitia (UPVD)-École pratique des hautes études (EPHE)

Subjects
Conservation of Natural Resources, larval, Range (biology), Biodiversity, Metapopulation, Biology, General Biochemistry, Genetics and Molecular Biology, [SDV.BA.ZV]Life Sciences [q-bio]/Animal biology/Vertebrate Zoology, Animals, 14. Life underwater, dispersal, [SDV.EE]Life Sciences [q-bio]/Ecology, environment, geography, geography.geographical_feature_category, Ecology, Coral Reefs, reserve, Marine reserve, Fishes, marine, tropical, Coral reef, 15. Life on land, Fishery, Habitat, Larva, connectivity, Biological dispersal, Fisheries management, movement, General Agricultural and Biological Sciences, Animal Distribution
Abstract

International audience; Well-designed and effectively managed networks of marine reserves can be effective tools for both fisheries management and biodiversity conservation. Connectivity, the demographic linking of local populations through the dispersal of individuals as larvae, juveniles or adults, is a key ecological factor to consider in marine reserve design, since it has important implications for the persistence of metapopulations and their recovery from disturbance. For marine reserves to protect biodiversity and enhance populations of species in fished areas, they must be able to sustain focal species (particularly fishery species) within their boundaries, and be spaced such that they can function as mutually replenishing networks whilst providing recruitment subsidies to fished areas. Thus the configuration (size, spacing and location) of individual reserves within a network should be informed by larval dispersal and movement patterns of the species for which protection is required. In the past, empirical data regarding larval dispersal and movement patterns of adults and juveniles of many tropical marine species have been unavailable or inaccessible to practitioners responsible for marine reserve design. Recent empirical studies using new technologies have also provided fresh insights into movement patterns of many species and redefined our understanding of connectivity among populations through larval dispersal. Our review of movement patterns of 34 families (210 species) of coral reef fishes demonstrates that movement patterns (home ranges, ontogenetic shifts and spawning migrations) vary among and within species, and are influenced by a range of factors (e.g. size, sex, behaviour, density, habitat characteristics, season, tide and time of day). Some species move

Published
2015
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5. Use Of Timed Automata And Model-Checking To Explore Scenarios On Ecosystem Models

Author

Guy Fontenelle, Marie-Odile Cordier, Yulong Zhao, Yves-Marie Bozec, Christine Largouët, Diagnosing, Recommending Actions and Modelling (DREAM), Inria Rennes – Bretagne Atlantique, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-GESTION DES DONNÉES ET DE LA CONNAISSANCE (IRISA-D7), Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-Télécom Bretagne-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes 1 (UR1), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-Télécom Bretagne-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Télécom Bretagne-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), AGROCAMPUS OUEST, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Marine Spatial Ecology Laboratory [Brisbane] (MSEL), University of Queensland [Brisbane], Université de Rennes (UNIV-RENNES), Fisheries Ecology Laboratory, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-Télécom Bretagne-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-Télécom Bretagne-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Télécom Bretagne-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), and Université de Rennes (UR)

Subjects
Model checking, Environmental Engineering, Computer science, Population, model-checking, 02 engineering and technology, Machine learning, computer.software_genre, Query language, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], 03 medical and health sciences, query patterns, 0202 electrical engineering, electronic engineering, information engineering, Temporal logic, Ecosystem, decision-aid, 14. Life underwater, education, 030304 developmental biology, 0303 health sciences, education.field_of_study, business.industry, Ecological Modeling, 020207 software engineering, scenario exploration, Numerical models, Data science, discrete-event systems, Automaton, timed automata, Artificial intelligence, Fisheries management, business, computer, Software, qualitative modelling
Abstract

On-line publication : 26 November 2011; International audience; The interest to build ecosystem models is well acknowledged in order to improve the understanding of the sophisticated linkages between humans and natural species embedded within variable local and global environmental contexts. It is especially true when a complex temporal evolution intervenes as in population regulations. Ecological modellers usually resort to numerical models supported by accurate data and extensive knowledge on biological processes. Unfortunately, the task becomes more difficult to model ecosystems with limited data and knowledge. Qualitative models may be more suitable for designing data-poor systems in a decision-aid context. We propose a new qualitative approach for ecosystem modelling based on timed automata (TA) formalism combined with a high-level query language for exploring scenarios. TA rely on a discrete-event system formalism to reproduce the temporal dynamics of a system. Combined with model-checking techniques, TA enable the exploration of system properties in response to a wide range of scenarios based on a temporal logic. Our applicative case concerns the evolution of different fish biomass along time according to fishing policies, especially when exogenous environmental issues may also be considered. We have developed this approach to model a simplified marine ecosystem subject to different fishing policies. Using predefined query patterns, we show that TA and model-checking are relevant tools to query timed properties of a fishery system in response to different management options. This modelling approach may be especially useful for fostering better discussion among all stakeholders involved in fisheries management.

Published
2011
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