Accounting for uncertainty in marine reserve design
Ecosystems and the species and communities within them are highly complex systems that defy predictions with any degree of certainty. Managing and conserving these systems in the face of uncertainty remains a daunting challenge, particularly with respect to developing networks of marine reserves. He...
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Veröffentlicht in: | Ecology letters 2006-01, Vol.9 (1), p.2-11 |
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creator | Halpern, Benjamin S. Regan, Helen M. Possingham, Hugh P. McCarthy, Michael A. |
description | Ecosystems and the species and communities within them are highly complex systems that defy predictions with any degree of certainty. Managing and conserving these systems in the face of uncertainty remains a daunting challenge, particularly with respect to developing networks of marine reserves. Here we review several modelling frameworks that explicitly acknowledge and incorporate uncertainty, and then use these methods to evaluate reserve spacing rules given increasing levels of uncertainty about larval dispersal distances. Our approach finds similar spacing rules as have been proposed elsewhere – roughly 20–200 km – but highlights several advantages provided by uncertainty modelling over more traditional approaches to developing these estimates. In particular, we argue that uncertainty modelling can allow for (1) an evaluation of the risk associated with any decision based on the assumed uncertainty; (2) a method for quantifying the costs and benefits of reducing uncertainty; and (3) a useful tool for communicating to stakeholders the challenges in managing highly uncertain systems. We also argue that incorporating rather than avoiding uncertainty will increase the chances of successfully achieving conservation and management goals. |
doi_str_mv | 10.1111/j.1461-0248.2005.00827.x |
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Managing and conserving these systems in the face of uncertainty remains a daunting challenge, particularly with respect to developing networks of marine reserves. Here we review several modelling frameworks that explicitly acknowledge and incorporate uncertainty, and then use these methods to evaluate reserve spacing rules given increasing levels of uncertainty about larval dispersal distances. Our approach finds similar spacing rules as have been proposed elsewhere – roughly 20–200 km – but highlights several advantages provided by uncertainty modelling over more traditional approaches to developing these estimates. In particular, we argue that uncertainty modelling can allow for (1) an evaluation of the risk associated with any decision based on the assumed uncertainty; (2) a method for quantifying the costs and benefits of reducing uncertainty; and (3) a useful tool for communicating to stakeholders the challenges in managing highly uncertain systems. We also argue that incorporating rather than avoiding uncertainty will increase the chances of successfully achieving conservation and management goals.</description><subject>Conservation of Natural Resources - methods</subject><subject>Dispersal</subject><subject>Ecosystem</subject><subject>marine protected areas</subject><subject>marine reserves</subject><subject>metapopulation model</subject><subject>Models, Biological</subject><subject>Oceans and Seas</subject><subject>reserve networks</subject><subject>spacing</subject><subject>Uncertainty</subject><issn>1461-023X</issn><issn>1461-0248</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2006</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNkMlOwzAQhi0EomyvgHLiluA1tiUuLGWt4AKi4mK5zgS5tAnYCbRvT0qrcoS5zEj-_rHmQyghOCNdHY8zwnOSYspVRjEWGcaKymy2gXbWD5vrmQ17aDfGMcaEakm2UY_kWiiVkx3ETp2r26rx1WtS1iFpKwehsb5q5omvkqkNvoIkQITwCUkB0b9W-2irtJMIB6u-h54u-4_n1-ng4erm_HSQOoGJTEUppKZSF5DL3BaKc8tBWyydlkyPgPLSESucwqygHBe2O4FSxQuhnRgJwvbQ0XLve6g_WoiNmfroYDKxFdRtNLlSTGMm_wQJl5JIqjtQLUEX6hgDlOY9-O7GuSHYLMyasVlIMwuBZmHW_Jg1sy56uPqjHU2h-A2uVHbAyRL48hOY_3ux6Q_63dDF02XcxwZm67gNbyaXTArzfH9l7m7PMLkYvhjOvgFwt5Rz</recordid><startdate>200601</startdate><enddate>200601</enddate><creator>Halpern, Benjamin S.</creator><creator>Regan, Helen M.</creator><creator>Possingham, Hugh P.</creator><creator>McCarthy, Michael A.</creator><general>Blackwell Science Ltd</general><scope>BSCLL</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>C1K</scope><scope>SOI</scope><scope>7X8</scope></search><sort><creationdate>200601</creationdate><title>Accounting for uncertainty in marine reserve design</title><author>Halpern, Benjamin S. ; Regan, Helen M. ; Possingham, Hugh P. ; McCarthy, Michael A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c5017-5f579279de676ad844a4e9a07c9739be24fc1a5c803d240da8272284d59c5b513</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2006</creationdate><topic>Conservation of Natural Resources - methods</topic><topic>Dispersal</topic><topic>Ecosystem</topic><topic>marine protected areas</topic><topic>marine reserves</topic><topic>metapopulation model</topic><topic>Models, Biological</topic><topic>Oceans and Seas</topic><topic>reserve networks</topic><topic>spacing</topic><topic>Uncertainty</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Halpern, Benjamin S.</creatorcontrib><creatorcontrib>Regan, Helen M.</creatorcontrib><creatorcontrib>Possingham, Hugh P.</creatorcontrib><creatorcontrib>McCarthy, Michael A.</creatorcontrib><collection>Istex</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Environment Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Ecology letters</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Halpern, Benjamin S.</au><au>Regan, Helen M.</au><au>Possingham, Hugh P.</au><au>McCarthy, Michael A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Accounting for uncertainty in marine reserve design</atitle><jtitle>Ecology letters</jtitle><addtitle>Ecol Lett</addtitle><date>2006-01</date><risdate>2006</risdate><volume>9</volume><issue>1</issue><spage>2</spage><epage>11</epage><pages>2-11</pages><issn>1461-023X</issn><eissn>1461-0248</eissn><abstract>Ecosystems and the species and communities within them are highly complex systems that defy predictions with any degree of certainty. 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source | MEDLINE; Wiley Online Library All Journals |
subjects | Conservation of Natural Resources - methods Dispersal Ecosystem marine protected areas marine reserves metapopulation model Models, Biological Oceans and Seas reserve networks spacing Uncertainty |
title | Accounting for uncertainty in marine reserve design |
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