A decision framework for identitying models to estimate forest ecosystem services gains from restoration-中国期刊网

摘要 Restoringdegradedforestsandagriculturallandshasbecomeaglobalconservationpriority.Agrowingnumberoftoolscanquantifyecosystemservicetradeoffsassociatedwithforestrestoration.Thisevolving'toolslandscape'presentsadilemma:moretoolsareavailable,butselectingappropriatetoolshasbecomemorechallenging.WepresentaRestorationEcosystemServiceToolSelector(RESTS)frameworkthatdescribeskeycharacteristicsof13ecosystemserviceassessmenttools.Analystsenterinformationabouttheirdecisioncontext,servicestobeanalyzed,anddesiredoutputs.Toolsarefilteredandpresentedbasedonfiveevaluativecriteria:scalability,cost,timerequirements,handlingofuncertainty,andapplicabilitytobenefit-costanalysis.RESTSusesaspreadsheetinterfacebutaweb-basedinterfaceisplanned.Giventherapidevolutionofecosystemservicesscience,RESTSprovidesanadaptableframeworktoguideforestrestorationdecisionmakerstowardtoolsthatcanhelpquantifyecosystemservicesinsupportofrestoration.

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A decision framework for identitying models to estimate forest ecosystem services gains from restoration

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A decision framework for identitying models to estimate forest ecosystem services gains from restoration

来源期刊

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