Regional Management Units for Marine Turtles: A Novel Framework for Prioritizing Conservation and Research across Multiple Scales
Resolving threats to widely distributed marine megafauna requires definition of the geographic distributions of both the threats as well as the population unit(s) of interest. In turn, because individual threats can operate on varying spatial scales, their impacts can affect different segments of a...
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| Veröffentlicht in: | PloS one Jg. 5; H. 12; S. e15465 |
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| Hauptverfasser: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
United States
Public Library of Science
17.12.2010
Public Library of Science (PLoS) |
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| ISSN: | 1932-6203, 1932-6203 |
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| Abstract | Resolving threats to widely distributed marine megafauna requires definition of the geographic distributions of both the threats as well as the population unit(s) of interest. In turn, because individual threats can operate on varying spatial scales, their impacts can affect different segments of a population of the same species. Therefore, integration of multiple tools and techniques--including site-based monitoring, genetic analyses, mark-recapture studies and telemetry--can facilitate robust definitions of population segments at multiple biological and spatial scales to address different management and research challenges.
To address these issues for marine turtles, we collated all available studies on marine turtle biogeography, including nesting sites, population abundances and trends, population genetics, and satellite telemetry. We georeferenced this information to generate separate layers for nesting sites, genetic stocks, and core distributions of population segments of all marine turtle species. We then spatially integrated this information from fine- to coarse-spatial scales to develop nested envelope models, or Regional Management Units (RMUs), for marine turtles globally.
The RMU framework is a solution to the challenge of how to organize marine turtles into units of protection above the level of nesting populations, but below the level of species, within regional entities that might be on independent evolutionary trajectories. Among many potential applications, RMUs provide a framework for identifying data gaps, assessing high diversity areas for multiple species and genetic stocks, and evaluating conservation status of marine turtles. Furthermore, RMUs allow for identification of geographic barriers to gene flow, and can provide valuable guidance to marine spatial planning initiatives that integrate spatial distributions of protected species and human activities. In addition, the RMU framework--including maps and supporting metadata--will be an iterative, user-driven tool made publicly available in an online application for comments, improvements, download and analysis. |
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| AbstractList | Resolving threats to widely distributed marine megafauna requires definition of the geographic distributions of both the threats as well as the population unit(s) of interest. In turn, because individual threats can operate on varying spatial scales, their impacts can affect different segments of a population of the same species. Therefore, integration of multiple tools and techniques--including site-based monitoring, genetic analyses, mark-recapture studies and telemetry--can facilitate robust definitions of population segments at multiple biological and spatial scales to address different management and research challenges.BACKGROUNDResolving threats to widely distributed marine megafauna requires definition of the geographic distributions of both the threats as well as the population unit(s) of interest. In turn, because individual threats can operate on varying spatial scales, their impacts can affect different segments of a population of the same species. Therefore, integration of multiple tools and techniques--including site-based monitoring, genetic analyses, mark-recapture studies and telemetry--can facilitate robust definitions of population segments at multiple biological and spatial scales to address different management and research challenges.To address these issues for marine turtles, we collated all available studies on marine turtle biogeography, including nesting sites, population abundances and trends, population genetics, and satellite telemetry. We georeferenced this information to generate separate layers for nesting sites, genetic stocks, and core distributions of population segments of all marine turtle species. We then spatially integrated this information from fine- to coarse-spatial scales to develop nested envelope models, or Regional Management Units (RMUs), for marine turtles globally.METHODOLOGY/PRINCIPAL FINDINGSTo address these issues for marine turtles, we collated all available studies on marine turtle biogeography, including nesting sites, population abundances and trends, population genetics, and satellite telemetry. We georeferenced this information to generate separate layers for nesting sites, genetic stocks, and core distributions of population segments of all marine turtle species. We then spatially integrated this information from fine- to coarse-spatial scales to develop nested envelope models, or Regional Management Units (RMUs), for marine turtles globally.The RMU framework is a solution to the challenge of how to organize marine turtles into units of protection above the level of nesting populations, but below the level of species, within regional entities that might be on independent evolutionary trajectories. Among many potential applications, RMUs provide a framework for identifying data gaps, assessing high diversity areas for multiple species and genetic stocks, and evaluating conservation status of marine turtles. Furthermore, RMUs allow for identification of geographic barriers to gene flow, and can provide valuable guidance to marine spatial planning initiatives that integrate spatial distributions of protected species and human activities. In addition, the RMU framework--including maps and supporting metadata--will be an iterative, user-driven tool made publicly available in an online application for comments, improvements, download and analysis.CONCLUSIONS/SIGNIFICANCEThe RMU framework is a solution to the challenge of how to organize marine turtles into units of protection above the level of nesting populations, but below the level of species, within regional entities that might be on independent evolutionary trajectories. Among many potential applications, RMUs provide a framework for identifying data gaps, assessing high diversity areas for multiple species and genetic stocks, and evaluating conservation status of marine turtles. Furthermore, RMUs allow for identification of geographic barriers to gene flow, and can provide valuable guidance to marine spatial planning initiatives that integrate spatial distributions of protected species and human activities. In addition, the RMU framework--including maps and supporting metadata--will be an iterative, user-driven tool made publicly available in an online application for comments, improvements, download and analysis. Resolving threats to widely distributed marine megafauna requires definition of the geographic distributions of both the threats as well as the population unit(s) of interest. In turn, because individual threats can operate on varying spatial scales, their impacts can affect different segments of a population of the same species. Therefore, integration of multiple tools and techniques - including site-based monitoring, genetic analyses, mark-recapture studies and telemetry - can facilitate robust definitions of population segments at multiple biological and spatial scales to address different management and research challenges. To address these issues for marine turtles, we collated all available studies on marine turtle biogeography, including nesting sites, population abundances and trends, population genetics, and satellite telemetry. We georeferenced this information to generate separate layers for nesting sites, genetic stocks, and core distributions of population segments of all marine turtle species. We then spatially integrated this information from fine- to coarse-spatial scales to develop nested envelope models, or Regional Management Units (RMUs), for marine turtles globally. The RMU framework is a solution to the challenge of how to organize marine turtles into units of protection above the level of nesting populations, but below the level of species, within regional entities that might be on independent evolutionary trajectories. Among many potential applications, RMUs provide a framework for identifying data gaps, assessing high diversity areas for multiple species and genetic stocks, and evaluating conservation status of marine turtles. Furthermore, RMUs allow for identification of geographic barriers to gene flow, and can provide valuable guidance to marine spatial planning initiatives that integrate spatial distributions of protected species and human activities. In addition, the RMU framework - including maps and supporting metadata - will be an iterative, user-driven tool made publicly available in an online application for comments, improvements, download and analysis. Background Resolving threats to widely distributed marine megafauna requires definition of the geographic distributions of both the threats as well as the population unit(s) of interest. In turn, because individual threats can operate on varying spatial scales, their impacts can affect different segments of a population of the same species. Therefore, integration of multiple tools and techniques - including site-based monitoring, genetic analyses, mark-recapture studies and telemetry - can facilitate robust definitions of population segments at multiple biological and spatial scales to address different management and research challenges. Methodology/Principal Findings To address these issues for marine turtles, we collated all available studies on marine turtle biogeography, including nesting sites, population abundances and trends, population genetics, and satellite telemetry. We georeferenced this information to generate separate layers for nesting sites, genetic stocks, and core distributions of population segments of all marine turtle species. We then spatially integrated this information from fine- to coarse-spatial scales to develop nested envelope models, or Regional Management Units (RMUs), for marine turtles globally. Conclusions/Significance The RMU framework is a solution to the challenge of how to organize marine turtles into units of protection above the level of nesting populations, but below the level of species, within regional entities that might be on independent evolutionary trajectories. Among many potential applications, RMUs provide a framework for identifying data gaps, assessing high diversity areas for multiple species and genetic stocks, and evaluating conservation status of marine turtles. Furthermore, RMUs allow for identification of geographic barriers to gene flow, and can provide valuable guidance to marine spatial planning initiatives that integrate spatial distributions of protected species and human activities. In addition, the RMU framework - including maps and supporting metadata - will be an iterative, user-driven tool made publicly available in an online application for comments, improvements, download and analysis. Background Resolving threats to widely distributed marine megafauna requires definition of the geographic distributions of both the threats as well as the population unit(s) of interest. In turn, because individual threats can operate on varying spatial scales, their impacts can affect different segments of a population of the same species. Therefore, integration of multiple tools and techniques — including site-based monitoring, genetic analyses, mark-recapture studies and telemetry — can facilitate robust definitions of population segments at multiple biological and spatial scales to address different management and research challenges. Methodology/Principal Findings To address these issues for marine turtles, we collated all available studies on marine turtle biogeography, including nesting sites, population abundances and trends, population genetics, and satellite telemetry. We georeferenced this information to generate separate layers for nesting sites, genetic stocks, and core distributions of population segments of all marine turtle species. We then spatially integrated this information from fine- to coarse-spatial scales to develop nested envelope models, or Regional Management Units (RMUs), for marine turtles globally. Conclusions/Significance The RMU framework is a solution to the challenge of how to organize marine turtles into units of protection above the level of nesting populations, but below the level of species, within regional entities that might be on independent evolutionary trajectories. Among many potential applications, RMUs provide a framework for identifying data gaps, assessing high diversity areas for multiple species and genetic stocks, and evaluating conservation status of marine turtles. Furthermore, RMUs allow for identification of geographic barriers to gene flow, and can provide valuable guidance to marine spatial planning initiatives that integrate spatial distributions of protected species and human activities. In addition, the RMU framework — including maps and supporting metadata — will be an iterative, user-driven tool made publicly available in an online application for comments, improvements, download and analysis. Resolving threats to widely distributed marine megafauna requires definition of the geographic distributions of both the threats as well as the population unit(s) of interest. In turn, because individual threats can operate on varying spatial scales, their impacts can affect different segments of a population of the same species. Therefore, integration of multiple tools and techniques--including site-based monitoring, genetic analyses, mark-recapture studies and telemetry--can facilitate robust definitions of population segments at multiple biological and spatial scales to address different management and research challenges. To address these issues for marine turtles, we collated all available studies on marine turtle biogeography, including nesting sites, population abundances and trends, population genetics, and satellite telemetry. We georeferenced this information to generate separate layers for nesting sites, genetic stocks, and core distributions of population segments of all marine turtle species. We then spatially integrated this information from fine- to coarse-spatial scales to develop nested envelope models, or Regional Management Units (RMUs), for marine turtles globally. The RMU framework is a solution to the challenge of how to organize marine turtles into units of protection above the level of nesting populations, but below the level of species, within regional entities that might be on independent evolutionary trajectories. Among many potential applications, RMUs provide a framework for identifying data gaps, assessing high diversity areas for multiple species and genetic stocks, and evaluating conservation status of marine turtles. Furthermore, RMUs allow for identification of geographic barriers to gene flow, and can provide valuable guidance to marine spatial planning initiatives that integrate spatial distributions of protected species and human activities. In addition, the RMU framework--including maps and supporting metadata--will be an iterative, user-driven tool made publicly available in an online application for comments, improvements, download and analysis. BackgroundResolving threats to widely distributed marine megafauna requires definition of the geographic distributions of both the threats as well as the population unit(s) of interest. In turn, because individual threats can operate on varying spatial scales, their impacts can affect different segments of a population of the same species. Therefore, integration of multiple tools and techniques--including site-based monitoring, genetic analyses, mark-recapture studies and telemetry--can facilitate robust definitions of population segments at multiple biological and spatial scales to address different management and research challenges.Methodology/principal findingsTo address these issues for marine turtles, we collated all available studies on marine turtle biogeography, including nesting sites, population abundances and trends, population genetics, and satellite telemetry. We georeferenced this information to generate separate layers for nesting sites, genetic stocks, and core distributions of population segments of all marine turtle species. We then spatially integrated this information from fine- to coarse-spatial scales to develop nested envelope models, or Regional Management Units (RMUs), for marine turtles globally.Conclusions/significanceThe RMU framework is a solution to the challenge of how to organize marine turtles into units of protection above the level of nesting populations, but below the level of species, within regional entities that might be on independent evolutionary trajectories. Among many potential applications, RMUs provide a framework for identifying data gaps, assessing high diversity areas for multiple species and genetic stocks, and evaluating conservation status of marine turtles. Furthermore, RMUs allow for identification of geographic barriers to gene flow, and can provide valuable guidance to marine spatial planning initiatives that integrate spatial distributions of protected species and human activities. In addition, the RMU framework--including maps and supporting metadata--will be an iterative, user-driven tool made publicly available in an online application for comments, improvements, download and analysis. |
| 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 Dueñas, Raquel Briseño Mortimer, Jeanne A. Wallace, Bryan P. Hurley, Brendan J. Godfrey, Matthew H. Musick, John A. Marcovaldi, Maria Angela Witherington, Blair DiMatteo, Andrew D. Girondot, Marc Hamann, Mark Costa, Alice Choudhury, B. C. Bourjea, Jerome Mast, Roderic B. Girard, Alexandre Chaloupka, Milani Y. Abreu-Grobois, F. Alberto Bolten, Alan B. |
| AuthorAffiliation | 21 School of Earth and Environmental Sciences, James Cook University, Townsville, Australia 7 Unidad Académica Mazatlán, Instituto de Ciencias del Mar y Limnología, Universidad Nacional Autónoma de México, Mazatlán, Sinaloa, México 13 World Wildlife Fund (WWF) Mediterranean Turtle Programme, World Wildlife Fund-Italy, Rome, Italy 3 Center for Marine Conservation, Duke University, Beaufort, North Carolina, United States of America 11 Banco de Información sobre Tortugas Marinas (BITMAR), Unidad Mazatlán, Instituto de Ciencias del Mar y Limnología, Universidad Nacional Autónoma de México, Mazatlán, Sinaloa, México 20 North Carolina Wildlife Resources Commission, Beaufort, North Carolina, United States of America 22 Projeto Tamar-ICMBio/Fundação Pro Tamar, Salvador, Bahía, Brazil 25 Virginia Institute of Marine Sciences, College of William and Mary, Gloucester Point, Virginia, United States of America 2 Global Marine Division, Conservation International, Arlington, Virginia, United States of Ameri |
| AuthorAffiliation_xml | – name: 25 Virginia Institute of Marine Sciences, College of William and Mary, Gloucester Point, Virginia, United States of America – name: 10 Hawaii Institute of Marine Biology, Kaneohe, Hawaii, United States of America – name: 14 Department of Endangered Species Management, Wildlife Institute of India, Dehradun, Uttarakhand, India – name: 3 Center for Marine Conservation, Duke University, Beaufort, North Carolina, United States of America – name: 20 North Carolina Wildlife Resources Commission, Beaufort, North Carolina, United States of America – name: 30 Scientific Advisory Committee, Sea Turtle Conservancy, Gainesville, Florida, United States of America – name: 23 Department of Ecology, Institute of Biology, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil – name: 12 Department of Biology and Biotechnology “Charles Darwin,” University of Rome “La Sapienza,” Rome, Italy – name: 26 School of Environmental Sciences, Nelson Mandela Metropolitan University, Summerstrand Campus, South Africa – name: 29 Department of Animal Ecology, Lund University, Lund, Sweden – name: 21 School of Earth and Environmental Sciences, James Cook University, Townsville, Australia – name: 28 Marine Turtle Ecology and Assessment Program, Southwest Fisheries Science Center, NOAA-National Marine Fisheries Service, La Jolla, California, United States of America – name: 4 Marine Geospatial Ecology Laboratory, Duke University, Durham, North Carolina, United States of America – name: 8 Centro de Investigación para el Medio Ambiente y Desarrollo, Cali, Colombia – name: NOAA/NMFS/SWFSC, United States of America – name: 19 Laboratoire d'Ecologie, Systématique et Evolution, Université Paris-Sud, Orsay, France – name: 13 World Wildlife Fund (WWF) Mediterranean Turtle Programme, World Wildlife Fund-Italy, Rome, Italy – name: 6 Ecological Modelling Services, Pty Ltd, University of Queensland, Brisbane, Australia – name: 24 Department of Biology, University of Florida, Gainesville, Florida, United States of America – name: 22 Projeto Tamar-ICMBio/Fundação Pro Tamar, Salvador, Bahía, Brazil – name: 15 World Wildlife Fund-Mozambique, Maputo, Mozambique – name: 2 Global Marine Division, Conservation International, Arlington, Virginia, United States of America – name: 5 Department of Biology, Archie Carr Center for Sea Turtle Research, University of Florida, Gainesville, Florida, United States of America – name: 11 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: 7 Unidad Académica Mazatlán, Instituto de Ciencias del Mar y Limnología, Universidad Nacional Autónoma de México, Mazatlán, Sinaloa, México – name: 17 Karumbé, Montevideo, Uruguay – name: 18 Association RENATURA, Albens, France, and Pointe-Noire, Congo – name: 31 Florida Fish and Wildlife Conservation Commission, Melbourne Beach, Florida, United States of America – name: 9 Laboratoire Ressources Halieutiques, IFREMER, Ile Reunion, France – name: 1 International Union for Conservation of Nature (IUCN)/SSC Marine Turtle Specialist Group – Burning Issues Working Group, Arlington, Virginia, United States of America – name: 16 Southwest Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration (NOAA), La Jolla, California, United States of America – name: 27 Marine Research Foundation, Sabah, Malaysia |
| 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: Brendan J. surname: Hurley fullname: Hurley, Brendan J. – sequence: 4 givenname: Elena M. surname: Finkbeiner fullname: Finkbeiner, Elena M. – sequence: 5 givenname: Alan B. surname: Bolten fullname: Bolten, Alan B. – sequence: 6 givenname: Milani Y. surname: Chaloupka fullname: Chaloupka, Milani Y. – sequence: 7 givenname: Brian J. surname: Hutchinson fullname: Hutchinson, Brian J. – sequence: 8 givenname: F. Alberto surname: Abreu-Grobois fullname: Abreu-Grobois, F. Alberto – sequence: 9 givenname: Diego surname: Amorocho fullname: Amorocho, Diego – sequence: 10 givenname: Karen A. surname: Bjorndal fullname: Bjorndal, Karen A. – sequence: 11 givenname: Jerome surname: Bourjea fullname: Bourjea, Jerome – sequence: 12 givenname: Brian W. surname: Bowen fullname: Bowen, Brian W. – sequence: 13 givenname: Raquel Briseño surname: Dueñas fullname: Dueñas, Raquel Briseño – 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: Alexandre surname: Girard fullname: Girard, Alexandre – sequence: 20 givenname: Marc surname: Girondot fullname: Girondot, Marc – sequence: 21 givenname: Matthew H. surname: Godfrey fullname: Godfrey, Matthew H. – sequence: 22 givenname: Mark surname: Hamann fullname: Hamann, Mark – sequence: 23 givenname: Milagros surname: López-Mendilaharsu fullname: López-Mendilaharsu, Milagros – sequence: 24 givenname: Maria Angela surname: Marcovaldi fullname: Marcovaldi, Maria Angela – sequence: 25 givenname: Jeanne A. surname: Mortimer fullname: Mortimer, Jeanne A. – 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: Jeffrey A. surname: Seminoff fullname: Seminoff, Jeffrey A. – sequence: 30 givenname: Sebastian surname: Troëng fullname: Troëng, Sebastian – sequence: 31 givenname: Blair surname: Witherington fullname: Witherington, Blair – sequence: 32 givenname: Roderic B. surname: Mast fullname: Mast, Roderic B. |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/21253007$$D View this record in MEDLINE/PubMed https://hal.science/hal-04498890$$DView record in HAL |
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| Copyright | COPYRIGHT 2010 Public Library of Science 2010. This is an open-access article distributed under the terms of the Creative Commons Public Domain declaration which stipulates that, once placed in the public domain, this work may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. 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 This is an open-access article distributed under the terms of the Creative Commons Public Domain declaration which stipulates that, once placed in the public domain, this work may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. 2010 |
| Copyright_xml | – notice: COPYRIGHT 2010 Public Library of Science – notice: 2010. This is an open-access article distributed under the terms of the Creative Commons Public Domain declaration which stipulates that, once placed in the public domain, this work may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. – notice: Distributed under a Creative Commons Attribution 4.0 International License – notice: This is an open-access article distributed under the terms of the Creative Commons Public Domain declaration which stipulates that, once placed in the public domain, this work may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. 2010 |
| CorporateAuthor | Lunds universitet Naturvetenskapliga fakulteten Department of Biology Faculty of Science Lund University Biologiska institutionen |
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| Snippet | Resolving threats to widely distributed marine megafauna requires definition of the geographic distributions of both the threats as well as the population... Background Resolving threats to widely distributed marine megafauna requires definition of the geographic distributions of both the threats as well as the... Background: Resolving threats to widely distributed marine megafauna requires definition of the geographic distributions of both the threats as well as the... BackgroundResolving threats to widely distributed marine megafauna requires definition of the geographic distributions of both the threats as well as the... Background Resolving threats to widely distributed marine megafauna requires definition of the geographic distributions of both the threats as well as the... |
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| SubjectTerms | Analysis Animal behavior Animals Aquatic ecosystems Biodiversity Biogeography Biologi Biological evolution Biological Sciences Biology Caretta caretta Chelonia mydas Coarsening Conservation Conservation of Natural Resources Conservation status Data processing Dermochelys coriacea Downloading Ecology Ecology (including Biodiversity Conservation) Ecosystem Ecosystem biology Ekologi Endangered & extinct species Environmental planning Eretmochelys imbricata Fisheries Gene flow Gene mapping Genetic analysis Genetics Genetics, Population Geographical distribution Geography Human Activities Humans International Iterative methods Lamnidae Lepidochelys kempii Lepidochelys olivacea Life Sciences Management Marine Biology Marine conservation Marine protected areas Marine resources Megafauna Models, Genetic Natator depressus Natural Sciences Naturvetenskap Nesting Population Population genetics Protected species Protection and preservation Regional development Reptiles & amphibians Sciences of the Universe Sea turtles Segments Spatial distribution Species diversity Telemetry Telemetry - methods Thunnus thynnus Tuna Turtles Turtles - genetics Wildlife conservation Working groups |
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| Title | Regional Management Units for Marine Turtles: A Novel Framework for Prioritizing Conservation and Research across Multiple Scales |
| URI | https://www.ncbi.nlm.nih.gov/pubmed/21253007 https://www.proquest.com/docview/1296198988 https://www.proquest.com/docview/846902322 https://hal.science/hal-04498890 https://pubmed.ncbi.nlm.nih.gov/PMC3003737 https://doaj.org/article/ab1a3b2a42504201a5dad598bb02b0ec http://dx.doi.org/10.1371/journal.pone.0015465 |
| Volume | 5 |
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