Prioritising Mangrove Ecosystem Services Results in Spatially Variable Management Priorities
Incorporating the values of the services that ecosystems provide into decision making is becoming increasingly common in nature conservation and resource management policies, both locally and globally. Yet with limited funds for conservation of threatened species and ecosystems there is a desire to...
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| Vydané v: | PloS one Ročník 11; číslo 3; s. e0151992 |
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| Hlavní autori: | , , , , , , |
| Médium: | Journal Article |
| Jazyk: | English |
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United States
Public Library of Science
23.03.2016
Public Library of Science (PLoS) |
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| ISSN: | 1932-6203, 1932-6203 |
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| Abstract | Incorporating the values of the services that ecosystems provide into decision making is becoming increasingly common in nature conservation and resource management policies, both locally and globally. Yet with limited funds for conservation of threatened species and ecosystems there is a desire to identify priority areas where investment efficiently conserves multiple ecosystem services. We mapped four mangrove ecosystems services (coastal protection, fisheries, biodiversity, and carbon storage) across Fiji. Using a cost-effectiveness analysis, we prioritised mangrove areas for each service, where the effectiveness was a function of the benefits provided to the local communities, and the costs were associated with restricting specific uses of mangroves. We demonstrate that, although priority mangrove areas (top 20%) for each service can be managed at relatively low opportunity costs (ranging from 4.5 to 11.3% of overall opportunity costs), prioritising for a single service yields relatively low co-benefits due to limited geographical overlap with priority areas for other services. None-the-less, prioritisation of mangrove areas provides greater overlap of benefits than if sites were selected randomly for most ecosystem services. We discuss deficiencies in the mapping of ecosystems services in data poor regions and how this may impact upon the equity of managing mangroves for particular services across the urban-rural divide in developing countries. Finally we discuss how our maps may aid decision-makers to direct funding for mangrove management from various sources to localities that best meet funding objectives, as well as how this knowledge can aid in creating a national mangrove zoning scheme. |
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| AbstractList | Incorporating the values of the services that ecosystems provide into decision making is becoming increasingly common in nature conservation and resource management policies, both locally and globally. Yet with limited funds for conservation of threatened species and ecosystems there is a desire to identify priority areas where investment efficiently conserves multiple ecosystem services. We mapped four mangrove ecosystems services (coastal protection, fisheries, biodiversity, and carbon storage) across Fiji. Using a cost-effectiveness analysis, we prioritised mangrove areas for each service, where the effectiveness was a function of the benefits provided to the local communities, and the costs were associated with restricting specific uses of mangroves. We demonstrate that, although priority mangrove areas (top 20%) for each service can be managed at relatively low opportunity costs (ranging from 4.5 to 11.3% of overall opportunity costs), prioritising for a single service yields relatively low co-benefits due to limited geographical overlap with priority areas for other services. None-the-less, prioritisation of mangrove areas provides greater overlap of benefits than if sites were selected randomly for most ecosystem services. We discuss deficiencies in the mapping of ecosystems services in data poor regions and how this may impact upon the equity of managing mangroves for particular services across the urban-rural divide in developing countries. Finally we discuss how our maps may aid decision-makers to direct funding for mangrove management from various sources to localities that best meet funding objectives, as well as how this knowledge can aid in creating a national mangrove zoning scheme.Incorporating the values of the services that ecosystems provide into decision making is becoming increasingly common in nature conservation and resource management policies, both locally and globally. Yet with limited funds for conservation of threatened species and ecosystems there is a desire to identify priority areas where investment efficiently conserves multiple ecosystem services. We mapped four mangrove ecosystems services (coastal protection, fisheries, biodiversity, and carbon storage) across Fiji. Using a cost-effectiveness analysis, we prioritised mangrove areas for each service, where the effectiveness was a function of the benefits provided to the local communities, and the costs were associated with restricting specific uses of mangroves. We demonstrate that, although priority mangrove areas (top 20%) for each service can be managed at relatively low opportunity costs (ranging from 4.5 to 11.3% of overall opportunity costs), prioritising for a single service yields relatively low co-benefits due to limited geographical overlap with priority areas for other services. None-the-less, prioritisation of mangrove areas provides greater overlap of benefits than if sites were selected randomly for most ecosystem services. We discuss deficiencies in the mapping of ecosystems services in data poor regions and how this may impact upon the equity of managing mangroves for particular services across the urban-rural divide in developing countries. Finally we discuss how our maps may aid decision-makers to direct funding for mangrove management from various sources to localities that best meet funding objectives, as well as how this knowledge can aid in creating a national mangrove zoning scheme. Incorporating the values of the services that ecosystems provide into decision making is becoming increasingly common in nature conservation and resource management policies, both locally and globally. Yet with limited funds for conservation of threatened species and ecosystems there is a desire to identify priority areas where investment efficiently conserves multiple ecosystem services. We mapped four mangrove ecosystems services (coastal protection, fisheries, biodiversity, and carbon storage) across Fiji. Using a cost-effectiveness analysis, we prioritised mangrove areas for each service, where the effectiveness was a function of the benefits provided to the local communities, and the costs were associated with restricting specific uses of mangroves. We demonstrate that, although priority mangrove areas (top 20%) for each service can be managed at relatively low opportunity costs (ranging from 4.5 to 11.3% of overall opportunity costs), prioritising for a single service yields relatively low co-benefits due to limited geographical overlap with priority areas for other services. None-the-less, prioritisation of mangrove areas provides greater overlap of benefits than if sites were selected randomly for most ecosystem services. We discuss deficiencies in the mapping of ecosystems services in data poor regions and how this may impact upon the equity of managing mangroves for particular services across the urban-rural divide in developing countries. Finally we discuss how our maps may aid decision-makers to direct funding for mangrove management from various sources to localities that best meet funding objectives, as well as how this knowledge can aid in creating a national mangrove zoning scheme. |
| Audience | Academic |
| Author | Possingham, Hugh P. Adams, Vanessa M. Atkinson, Scott C. Narayan, Siddharth Jupiter, Stacy D. Ingram, J. Carter Klein, Carissa J. |
| AuthorAffiliation | 3 Wildlife Conservation Society, Global Conservation Program, New York City, United States of America Griffith University, AUSTRALIA 4 National Center for Ecological Analysis and Synthesis (NCEAS), University of California at Santa Barbara, Santa Barbara, United States of America 1 ARC Centre of Excellence for Environmental Decisions, Centre for Biodiversity and Conservation Science, School of Biological Sciences, The University of Queensland, St. Lucia, Australia 2 Wildlife Conservation Society, Melanesia Program, Suva, Fiji 5 School of Geography, Planning and Environmental Management, The University of Queensland, St. Lucia, Australia |
| AuthorAffiliation_xml | – name: 4 National Center for Ecological Analysis and Synthesis (NCEAS), University of California at Santa Barbara, Santa Barbara, United States of America – name: 5 School of Geography, Planning and Environmental Management, The University of Queensland, St. Lucia, Australia – name: Griffith University, AUSTRALIA – name: 2 Wildlife Conservation Society, Melanesia Program, Suva, Fiji – name: 3 Wildlife Conservation Society, Global Conservation Program, New York City, United States of America – name: 1 ARC Centre of Excellence for Environmental Decisions, Centre for Biodiversity and Conservation Science, School of Biological Sciences, The University of Queensland, St. Lucia, Australia |
| Author_xml | – sequence: 1 givenname: Scott C. surname: Atkinson fullname: Atkinson, Scott C. – sequence: 2 givenname: Stacy D. surname: Jupiter fullname: Jupiter, Stacy D. – sequence: 3 givenname: Vanessa M. surname: Adams fullname: Adams, Vanessa M. – sequence: 4 givenname: J. Carter surname: Ingram fullname: Ingram, J. Carter – sequence: 5 givenname: Siddharth surname: Narayan fullname: Narayan, Siddharth – sequence: 6 givenname: Carissa J. surname: Klein fullname: Klein, Carissa J. – sequence: 7 givenname: Hugh P. surname: Possingham fullname: Possingham, Hugh P. |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/27008421$$D View this record in MEDLINE/PubMed |
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| Copyright | COPYRIGHT 2016 Public Library of Science 2016 Atkinson et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://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. 2016 Atkinson et al 2016 Atkinson et al |
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| SubjectTerms | Analysis Biodiversity Biology and Life Sciences Carbon Carbon Sequestration Carbon storage Coastal fisheries Coastal management Coastal protection Coastal zone management Conservation Conservation of Natural Resources - economics Conservation of Natural Resources - methods Cost benefit analysis Costs Decision making Developing countries Earth Sciences Ecology and Environmental Sciences Ecosystem Ecosystem management Ecosystem services Ecosystems Engineering and Technology Environmental aspects Environmental policy Environmental protection Fiji Fisheries Funding LDCs Local communities Mangrove swamps Mangroves Natural resource conservation Nature conservation People and Places Resource management Science Strategic management Threatened species Tourism Trends Tsunamis Valuation Wetlands Wildlife conservation |
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| Title | Prioritising Mangrove Ecosystem Services Results in Spatially Variable Management Priorities |
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