Global Conservation Priorities for Marine Turtles
Where conservation resources are limited and conservation targets are diverse, robust yet flexible priority-setting frameworks are vital. Priority-setting is especially important for geographically widespread species with distinct populations subject to multiple threats that operate on different spa...
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| Published in: | PloS one Vol. 6; no. 9; pp. e24510 - 14 |
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| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
United States
Public Library of Science
28.09.2011
Public Library of Science (PLoS) |
| Subjects: | |
| ISSN: | 1932-6203, 1932-6203 |
| Online Access: | Get full text |
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| Abstract | Where conservation resources are limited and conservation targets are diverse, robust yet flexible priority-setting frameworks are vital. Priority-setting is especially important for geographically widespread species with distinct populations subject to multiple threats that operate on different spatial and temporal scales. Marine turtles are widely distributed and exhibit intra-specific variations in population sizes and trends, as well as reproduction and morphology. However, current global extinction risk assessment frameworks do not assess conservation status of spatially and biologically distinct marine turtle Regional Management Units (RMUs), and thus do not capture variations in population trends, impacts of threats, or necessary conservation actions across individual populations. To address this issue, we developed a new assessment framework that allowed us to evaluate, compare and organize marine turtle RMUs according to status and threats criteria. Because conservation priorities can vary widely (i.e. from avoiding imminent extinction to maintaining long-term monitoring efforts) we developed a "conservation priorities portfolio" system using categories of paired risk and threats scores for all RMUs (n = 58). We performed these assessments and rankings globally, by species, by ocean basin, and by recognized geopolitical bodies to identify patterns in risk, threats, and data gaps at different scales. This process resulted in characterization of risk and threats to all marine turtle RMUs, including identification of the world's 11 most endangered marine turtle RMUs based on highest risk and threats scores. This system also highlighted important gaps in available information that is crucial for accurate conservation assessments. Overall, this priority-setting framework can provide guidance for research and conservation priorities at multiple relevant scales, and should serve as a model for conservation status assessments and priority-setting for widespread, long-lived taxa. |
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| AbstractList | Where conservation resources are limited and conservation targets are diverse, robust yet flexible priority-setting frameworks are vital. Priority-setting is especially important for geographically widespread species with distinct populations subject to multiple threats that operate on different spatial and temporal scales. Marine turtles are widely distributed and exhibit intra-specific variations in population sizes and trends, as well as reproduction and morphology. However, current global extinction risk assessment frameworks do not assess conservation status of spatially and biologically distinct marine turtle Regional Management Units (RMUs), and thus do not capture variations in population trends, impacts of threats, or necessary conservation actions across individual populations. To address this issue, we developed a new assessment framework that allowed us to evaluate, compare and organize marine turtle RMUs according to status and threats criteria. Because conservation priorities can vary widely (i.e. from avoiding imminent extinction to maintaining long-term monitoring efforts) we developed a "conservation priorities portfolio" system using categories of paired risk and threats scores for all RMUs (n = 58). We performed these assessments and rankings globally, by species, by ocean basin, and by recognized geopolitical bodies to identify patterns in risk, threats, and data gaps at different scales. This process resulted in characterization of risk and threats to all marine turtle RMUs, including identification of the world's 11 most endangered marine turtle RMUs based on highest risk and threats scores. This system also highlighted important gaps in available information that is crucial for accurate conservation assessments. Overall, this priority-setting framework can provide guidance for research and conservation priorities at multiple relevant scales, and should serve as a model for conservation status assessments and priority-setting for widespread, long-lived taxa. Where conservation resources are limited and conservation targets are diverse, robust yet flexible priority-setting frameworks are vital. Priority-setting is especially important for geographically widespread species with distinct populations subject to multiple threats that operate on different spatial and temporal scales. Marine turtles are widely distributed and exhibit intra-specific variations in population sizes and trends, as well as reproduction and morphology. However, current global extinction risk assessment frameworks do not assess conservation status of spatially and biologically distinct marine turtle Regional Management Units (RMUs), and thus do not capture variations in population trends, impacts of threats, or necessary conservation actions across individual populations. To address this issue, we developed a new assessment framework that allowed us to evaluate, compare and organize marine turtle RMUs according to status and threats criteria. Because conservation priorities can vary widely (i.e. from avoiding imminent extinction to maintaining long-term monitoring efforts) we developed a "conservation priorities portfolio" system using categories of paired risk and threats scores for all RMUs (n = 58). We performed these assessments and rankings globally, by species, by ocean basin, and by recognized geopolitical bodies to identify patterns in risk, threats, and data gaps at different scales. This process resulted in characterization of risk and threats to all marine turtle RMUs, including identification of the world's 11 most endangered marine turtle RMUs based on highest risk and threats scores. This system also highlighted important gaps in available information that is crucial for accurate conservation assessments. Overall, this priority-setting framework can provide guidance for research and conservation priorities at multiple relevant scales, and should serve as a model for conservation status assessments and priority-setting for widespread, long-lived taxa.Where conservation resources are limited and conservation targets are diverse, robust yet flexible priority-setting frameworks are vital. Priority-setting is especially important for geographically widespread species with distinct populations subject to multiple threats that operate on different spatial and temporal scales. Marine turtles are widely distributed and exhibit intra-specific variations in population sizes and trends, as well as reproduction and morphology. However, current global extinction risk assessment frameworks do not assess conservation status of spatially and biologically distinct marine turtle Regional Management Units (RMUs), and thus do not capture variations in population trends, impacts of threats, or necessary conservation actions across individual populations. To address this issue, we developed a new assessment framework that allowed us to evaluate, compare and organize marine turtle RMUs according to status and threats criteria. Because conservation priorities can vary widely (i.e. from avoiding imminent extinction to maintaining long-term monitoring efforts) we developed a "conservation priorities portfolio" system using categories of paired risk and threats scores for all RMUs (n = 58). We performed these assessments and rankings globally, by species, by ocean basin, and by recognized geopolitical bodies to identify patterns in risk, threats, and data gaps at different scales. This process resulted in characterization of risk and threats to all marine turtle RMUs, including identification of the world's 11 most endangered marine turtle RMUs based on highest risk and threats scores. This system also highlighted important gaps in available information that is crucial for accurate conservation assessments. Overall, this priority-setting framework can provide guidance for research and conservation priorities at multiple relevant scales, and should serve as a model for conservation status assessments and priority-setting for widespread, long-lived taxa. |
| Audience | Academic |
| Author | López-Mendilaharsu, Milagros Finkbeiner, Elena M. Hutchinson, Brian J. Casale, Paolo Nel, Ronel Bowen, Brian W. Bjorndal, Karen A. Pilcher, Nicolas J. Troëng, Sebastian Dutton, Peter H. Fallabrino, Alejandro Seminoff, Jeffrey A. Amorocho, Diego Mortimer, Jeanne A. Wallace, Bryan P. Hurley, Brendan J. Musick, John A. Marcovaldi, Maria Angela Briseño Dueñas, Raquel Witherington, Blair DiMatteo, Andrew D. Girondot, Marc Hamann, Mark Costa, Alice Bourjea, Jérôme Choudhury, B. C. Mast, Roderic B. Girard, Alexandre Chaloupka, Milani Y. Abreu-Grobois, F. Alberto Bolten, Alan B. |
| AuthorAffiliation | 9 Island Conservation Society, Victoria, Mahé, Republic of Seychelles 19 Southwest Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration, La Jolla, California, United States of America 22 Laboratoire d'Ecologie, Systématique et Evolution, Université Paris-Sud, Orsay, France 7 Unidad Académica Mazatlán, Instituto de Ciencias del Mar y Limnología, Universidad Nacional Autónoma de México, Mazatlán, Sinaloa, México 28 Marine Research Foundation, Sabah, Malaysia 24 Projeto Tamar-ICMBio/Fundação Pro Tamar, Salvador, Bahía, Brazil 1 IUCN/SSC Marine Turtle Specialist Group – Burning Issues Working Group, Arlington, Virginia, United States of America 14 Banco de Información sobre Tortugas Marinas (BITMAR), Unidad Mazatlán, Instituto de Ciencias del Mar y Limnología, Universidad Nacional Autónoma de México, Mazatlán, Sinaloa, México 16 WWF Mediterranean Turtle Programme, World Wildlife Fund-Italy, Rome, Italy 15 Department of Biology and Biotechnolog |
| AuthorAffiliation_xml | – name: 11 Centro de Investigación para el Medio Ambiente y Desarrollo, Cali, Colombia – name: 12 Laboratoire Ressources Halieutiques, IFREMER, Île de la Réunion, France – name: 17 Department of Endangered Species Management, Wildlife Institute of India, Dehradun, Uttarakhand, India – name: 3 Division of Marine Science and Conservation, Duke University, Beaufort, North Carolina, United States of America – name: 22 Laboratoire d'Ecologie, Systématique et Evolution, Université Paris-Sud, Orsay, France – name: 30 Scientific Advisory Committee, Sea Turtle Conservancy, Gainesville, Florida, United States of America – name: 24 Projeto Tamar-ICMBio/Fundação Pro Tamar, Salvador, Bahía, Brazil – name: 29 Department of Animal Ecology, Lund University, Lund, Sweden – name: 16 WWF Mediterranean Turtle Programme, World Wildlife Fund-Italy, Rome, Italy – name: 28 Marine Research Foundation, Sabah, Malaysia – name: 4 Marine Geospatial Ecology Laboratory, Duke University, Durham, North Carolina, United States of America – name: 19 Southwest Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration, La Jolla, California, United States of America – name: 5 Archie Carr Center for Sea Turtle Research and Department of Biology, University of Florida, Gainesville, Florida, United States of America – name: 20 Karumbé, Montevideo, Uruguay – name: 13 Hawaii Institute of Marine Biology, Kaneohe, Hawaii, United States of America – name: 6 Ecological Modelling Services, Pty Ltd, University of Queensland, Brisbane, Australia – name: 8 Department of Biology, University of Florida, Gainesville, Florida, United States of America – name: 14 Banco de Información sobre Tortugas Marinas (BITMAR), Unidad Mazatlán, Instituto de Ciencias del Mar y Limnología, Universidad Nacional Autónoma de México, Mazatlán, Sinaloa, México – name: 23 School of Earth and Environmental Sciences, James Cook University, Townsville, Australia – name: National Oceanic and Atmospheric Administration/National Marine Fisheries Service/Southwest Fisheries Science Center, United States of America – name: 25 Department of Ecology, Institute of Biology, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil – name: 2 Global Marine Division, Conservation International, Arlington, Virginia, United States of America – name: 7 Unidad Académica Mazatlán, Instituto de Ciencias del Mar y Limnología, Universidad Nacional Autónoma de México, Mazatlán, Sinaloa, México – name: 10 Marine Turtle Ecology and Assessment Program, Southwest Fisheries Science Center, NOAA-National Marine Fisheries Service, La Jolla, California, United States of America – name: 21 Association RENATURA, Albens, France, and Pointe-Noire, Congo – name: 1 IUCN/SSC Marine Turtle Specialist Group – Burning Issues Working Group, Arlington, Virginia, United States of America – name: 26 Virginia Institute of Marine Sciences, College of William and Mary, Gloucester Point, Virginia, United States of America – name: 27 School of Environmental Sciences, Nelson Mandela Metropolitan University, Summerstrand Campus, South Africa – name: 31 Florida Fish and Wildlife Conservation Commission, Melbourne Beach, Florida, United States of America – name: 15 Department of Biology and Biotechnology “Charles Darwin,” University of Rome “La Sapienza,” Rome, Italy – name: 18 World Wildlife Fund-Mozambique, Maputo, Mozambique – name: 9 Island Conservation Society, Victoria, Mahé, Republic of Seychelles |
| Author_xml | – sequence: 1 givenname: Bryan P. surname: Wallace fullname: Wallace, Bryan P. – sequence: 2 givenname: Andrew D. surname: DiMatteo fullname: DiMatteo, Andrew D. – sequence: 3 givenname: Alan B. surname: Bolten fullname: Bolten, Alan B. – sequence: 4 givenname: Milani Y. surname: Chaloupka fullname: Chaloupka, Milani Y. – sequence: 5 givenname: Brian J. surname: Hutchinson fullname: Hutchinson, Brian J. – sequence: 6 givenname: F. Alberto surname: Abreu-Grobois fullname: Abreu-Grobois, F. Alberto – sequence: 7 givenname: Jeanne A. surname: Mortimer fullname: Mortimer, Jeanne A. – sequence: 8 givenname: Jeffrey A. surname: Seminoff fullname: Seminoff, Jeffrey A. – sequence: 9 givenname: Diego surname: Amorocho fullname: Amorocho, Diego – sequence: 10 givenname: Karen A. surname: Bjorndal fullname: Bjorndal, Karen A. – sequence: 11 givenname: Jérôme surname: Bourjea fullname: Bourjea, Jérôme – sequence: 12 givenname: Brian W. surname: Bowen fullname: Bowen, Brian W. – sequence: 13 givenname: Raquel surname: Briseño Dueñas fullname: Briseño Dueñas, Raquel – sequence: 14 givenname: Paolo surname: Casale fullname: Casale, Paolo – sequence: 15 givenname: B. C. surname: Choudhury fullname: Choudhury, B. C. – sequence: 16 givenname: Alice surname: Costa fullname: Costa, Alice – sequence: 17 givenname: Peter H. surname: Dutton fullname: Dutton, Peter H. – sequence: 18 givenname: Alejandro surname: Fallabrino fullname: Fallabrino, Alejandro – sequence: 19 givenname: Elena M. surname: Finkbeiner fullname: Finkbeiner, Elena M. – sequence: 20 givenname: Alexandre surname: Girard fullname: Girard, Alexandre – sequence: 21 givenname: Marc surname: Girondot fullname: Girondot, Marc – sequence: 22 givenname: Mark surname: Hamann fullname: Hamann, Mark – sequence: 23 givenname: Brendan J. surname: Hurley fullname: Hurley, Brendan J. – sequence: 24 givenname: Milagros surname: López-Mendilaharsu fullname: López-Mendilaharsu, Milagros – sequence: 25 givenname: Maria Angela surname: Marcovaldi fullname: Marcovaldi, Maria Angela – sequence: 26 givenname: John A. surname: Musick fullname: Musick, John A. – sequence: 27 givenname: Ronel surname: Nel fullname: Nel, Ronel – sequence: 28 givenname: Nicolas J. surname: Pilcher fullname: Pilcher, Nicolas J. – sequence: 29 givenname: Sebastian surname: Troëng fullname: Troëng, Sebastian – sequence: 30 givenname: Blair surname: Witherington fullname: Witherington, Blair – sequence: 31 givenname: Roderic B. surname: Mast fullname: Mast, Roderic B. |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/21969858$$D View this record in MEDLINE/PubMed https://hal.science/hal-04499049$$DView record in HAL |
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| Copyright | COPYRIGHT 2011 Public Library of Science 2011 Wallace et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. Distributed under a Creative Commons Attribution 4.0 International License Wallace et al. 2011 |
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| Title | Global Conservation Priorities for Marine Turtles |
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