Simple rules can guide whether land- or ocean-based conservation will best benefit marine ecosystems.
Identifieur interne : 000362 ( PubMed/Checkpoint ); précédent : 000361; suivant : 000363Simple rules can guide whether land- or ocean-based conservation will best benefit marine ecosystems.
Auteurs : Megan I. Saunders [Australie] ; Michael Bode [Australie] ; Scott Atkinson [Australie] ; Carissa J. Klein [Australie] ; Anna Metaxas [Canada] ; Jutta Beher [Australie] ; Maria Beger [Australie] ; Morena Mills [Australie] ; Sylvaine Giakoumi [Australie] ; Vivitskaia Tulloch [Australie] ; Hugh P. Possingham [Australie]Source :
- PLoS biology [ 1545-7885 ] ; 2017.
Descripteurs français
- KwdFr :
- MESH :
English descriptors
- KwdEn :
- MESH :
- economics : Conservation of Natural Resources, Water Pollution.
- methods : Cost-Benefit Analysis.
- Algorithms, Aquatic Organisms, Decision Support Techniques, Ecosystem, Queensland.
Abstract
Coastal marine ecosystems can be managed by actions undertaken both on the land and in the ocean. Quantifying and comparing the costs and benefits of actions in both realms is therefore necessary for efficient management. Here, we quantify the link between terrestrial sediment runoff and a downstream coastal marine ecosystem and contrast the cost-effectiveness of marine- and land-based conservation actions. We use a dynamic land- and sea-scape model to determine whether limited funds should be directed to 1 of 4 alternative conservation actions-protection on land, protection in the ocean, restoration on land, or restoration in the ocean-to maximise the extent of light-dependent marine benthic habitats across decadal timescales. We apply the model to a case study for a seagrass meadow in Australia. We find that marine restoration is the most cost-effective action over decadal timescales in this system, based on a conservative estimate of the rate at which seagrass can expand into a new habitat. The optimal decision will vary in different social-ecological contexts, but some basic information can guide optimal investments to counteract land- and ocean-based stressors: (1) marine restoration should be prioritised if the rates of marine ecosystem decline and expansion are similar and low; (2) marine protection should take precedence if the rate of marine ecosystem decline is high or if the adjacent catchment is relatively intact and has a low rate of vegetation decline; (3) land-based actions are optimal when the ratio of marine ecosystem expansion to decline is greater than 1:1.4, with terrestrial restoration typically the most cost-effective action; and (4) land protection should be prioritised if the catchment is relatively intact but the rate of vegetation decline is high. These rules of thumb illustrate how cost-effective conservation outcomes for connected land-ocean systems can proceed without complex modelling.
DOI: 10.1371/journal.pbio.2001886
PubMed: 28877168
Affiliations:
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pubmed:28877168Le document en format XML
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<front><div type="abstract" xml:lang="en">Coastal marine ecosystems can be managed by actions undertaken both on the land and in the ocean. Quantifying and comparing the costs and benefits of actions in both realms is therefore necessary for efficient management. Here, we quantify the link between terrestrial sediment runoff and a downstream coastal marine ecosystem and contrast the cost-effectiveness of marine- and land-based conservation actions. We use a dynamic land- and sea-scape model to determine whether limited funds should be directed to 1 of 4 alternative conservation actions-protection on land, protection in the ocean, restoration on land, or restoration in the ocean-to maximise the extent of light-dependent marine benthic habitats across decadal timescales. We apply the model to a case study for a seagrass meadow in Australia. We find that marine restoration is the most cost-effective action over decadal timescales in this system, based on a conservative estimate of the rate at which seagrass can expand into a new habitat. The optimal decision will vary in different social-ecological contexts, but some basic information can guide optimal investments to counteract land- and ocean-based stressors: (1) marine restoration should be prioritised if the rates of marine ecosystem decline and expansion are similar and low; (2) marine protection should take precedence if the rate of marine ecosystem decline is high or if the adjacent catchment is relatively intact and has a low rate of vegetation decline; (3) land-based actions are optimal when the ratio of marine ecosystem expansion to decline is greater than 1:1.4, with terrestrial restoration typically the most cost-effective action; and (4) land protection should be prioritised if the catchment is relatively intact but the rate of vegetation decline is high. These rules of thumb illustrate how cost-effective conservation outcomes for connected land-ocean systems can proceed without complex modelling.</div>
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<Abstract><AbstractText>Coastal marine ecosystems can be managed by actions undertaken both on the land and in the ocean. Quantifying and comparing the costs and benefits of actions in both realms is therefore necessary for efficient management. Here, we quantify the link between terrestrial sediment runoff and a downstream coastal marine ecosystem and contrast the cost-effectiveness of marine- and land-based conservation actions. We use a dynamic land- and sea-scape model to determine whether limited funds should be directed to 1 of 4 alternative conservation actions-protection on land, protection in the ocean, restoration on land, or restoration in the ocean-to maximise the extent of light-dependent marine benthic habitats across decadal timescales. We apply the model to a case study for a seagrass meadow in Australia. We find that marine restoration is the most cost-effective action over decadal timescales in this system, based on a conservative estimate of the rate at which seagrass can expand into a new habitat. The optimal decision will vary in different social-ecological contexts, but some basic information can guide optimal investments to counteract land- and ocean-based stressors: (1) marine restoration should be prioritised if the rates of marine ecosystem decline and expansion are similar and low; (2) marine protection should take precedence if the rate of marine ecosystem decline is high or if the adjacent catchment is relatively intact and has a low rate of vegetation decline; (3) land-based actions are optimal when the ratio of marine ecosystem expansion to decline is greater than 1:1.4, with terrestrial restoration typically the most cost-effective action; and (4) land protection should be prioritised if the catchment is relatively intact but the rate of vegetation decline is high. These rules of thumb illustrate how cost-effective conservation outcomes for connected land-ocean systems can proceed without complex modelling.</AbstractText>
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<AffiliationInfo><Affiliation>Australian Research Council (ARC) Centre of Excellence in Environmental Decisions, University of Queensland, St. Lucia, Australia.</Affiliation>
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<AffiliationInfo><Affiliation>School of Earth and Environmental Sciences, The University of Queensland, St. Lucia, Australia.</Affiliation>
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<AffiliationInfo><Affiliation>The Global Change Institute, The University of Queensland, St. Lucia, Australia.</Affiliation>
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<AffiliationInfo><Affiliation>School of Chemical Engineering, The University of Queensland, St. Lucia, Australia.</Affiliation>
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<AffiliationInfo><Affiliation>Australian Research Council Centre of Excellence for Coral Reef Studies, James Cook University, Townsville, Australia.</Affiliation>
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<AffiliationInfo><Affiliation>Department of Life Sciences, Imperial College London, Silwood Park Campus, Buckhurst Road, Ascot, Berkshire, United Kingdom.</Affiliation>
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<AffiliationInfo><Affiliation>Australian Research Council (ARC) Centre of Excellence in Environmental Decisions, University of Queensland, St. Lucia, Australia.</Affiliation>
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<AffiliationInfo><Affiliation>Université Côte d'Azur, CNRS, FRE 3729 ECOMERS, Parc Valrose, Nice, France.</Affiliation>
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<Author ValidYN="Y"><LastName>Tulloch</LastName>
<ForeName>Vivitskaia</ForeName>
<Initials>V</Initials>
<AffiliationInfo><Affiliation>Centre for Biodiversity and Conservation Science, The University of Queensland, St. Lucia, Australia.</Affiliation>
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<AffiliationInfo><Affiliation>Australian Research Council (ARC) Centre of Excellence in Environmental Decisions, University of Queensland, St. Lucia, Australia.</Affiliation>
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<ForeName>Hugh P</ForeName>
<Initials>HP</Initials>
<AffiliationInfo><Affiliation>Centre for Biodiversity and Conservation Science, The University of Queensland, St. Lucia, Australia.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Australian Research Council (ARC) Centre of Excellence in Environmental Decisions, University of Queensland, St. Lucia, Australia.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>The Nature Conservancy, Arlington, Virginia, United States of America.</Affiliation>
</AffiliationInfo>
</Author>
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<Language>eng</Language>
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<Month>09</Month>
<Day>06</Day>
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<MeshHeadingList><MeshHeading><DescriptorName UI="D000465" MajorTopicYN="N">Algorithms</DescriptorName>
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<MeshHeading><DescriptorName UI="D003661" MajorTopicYN="N">Decision Support Techniques</DescriptorName>
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<MeshHeading><DescriptorName UI="D017753" MajorTopicYN="Y">Ecosystem</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D011793" MajorTopicYN="N">Queensland</DescriptorName>
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<MeshHeading><DescriptorName UI="D014876" MajorTopicYN="N">Water Pollution</DescriptorName>
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<PubmedData><History><PubMedPubDate PubStatus="received"><Year>2016</Year>
<Month>12</Month>
<Day>24</Day>
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<PubMedPubDate PubStatus="accepted"><Year>2017</Year>
<Month>07</Month>
<Day>20</Day>
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<ArticleIdList><ArticleId IdType="pubmed">28877168</ArticleId>
<ArticleId IdType="doi">10.1371/journal.pbio.2001886</ArticleId>
<ArticleId IdType="pii">pbio.2001886</ArticleId>
<ArticleId IdType="pmc">PMC5587113</ArticleId>
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<affiliations><list><country><li>Australie</li>
<li>Canada</li>
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<tree><country name="Australie"><noRegion><name sortKey="Saunders, Megan I" sort="Saunders, Megan I" uniqKey="Saunders M" first="Megan I" last="Saunders">Megan I. Saunders</name>
</noRegion>
<name sortKey="Atkinson, Scott" sort="Atkinson, Scott" uniqKey="Atkinson S" first="Scott" last="Atkinson">Scott Atkinson</name>
<name sortKey="Beger, Maria" sort="Beger, Maria" uniqKey="Beger M" first="Maria" last="Beger">Maria Beger</name>
<name sortKey="Beher, Jutta" sort="Beher, Jutta" uniqKey="Beher J" first="Jutta" last="Beher">Jutta Beher</name>
<name sortKey="Bode, Michael" sort="Bode, Michael" uniqKey="Bode M" first="Michael" last="Bode">Michael Bode</name>
<name sortKey="Giakoumi, Sylvaine" sort="Giakoumi, Sylvaine" uniqKey="Giakoumi S" first="Sylvaine" last="Giakoumi">Sylvaine Giakoumi</name>
<name sortKey="Klein, Carissa J" sort="Klein, Carissa J" uniqKey="Klein C" first="Carissa J" last="Klein">Carissa J. Klein</name>
<name sortKey="Mills, Morena" sort="Mills, Morena" uniqKey="Mills M" first="Morena" last="Mills">Morena Mills</name>
<name sortKey="Possingham, Hugh P" sort="Possingham, Hugh P" uniqKey="Possingham H" first="Hugh P" last="Possingham">Hugh P. Possingham</name>
<name sortKey="Tulloch, Vivitskaia" sort="Tulloch, Vivitskaia" uniqKey="Tulloch V" first="Vivitskaia" last="Tulloch">Vivitskaia Tulloch</name>
</country>
<country name="Canada"><noRegion><name sortKey="Metaxas, Anna" sort="Metaxas, Anna" uniqKey="Metaxas A" first="Anna" last="Metaxas">Anna Metaxas</name>
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