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dc.contributor.authorGarcia-Baron, Isabel
dc.contributor.authorGiakoumi, Sylvaine
dc.contributor.authorBegona Santos, Maria and Granado, Igor
dc.contributor.authorLouzao, Maite
dc.date.accessioned2021-07-02T08:11:40Z-
dc.date.available2021-07-02T08:11:40Z-
dc.date.issued2021
dc.identifierISI:000602184100001
dc.identifier.citationJOURNAL OF APPLIED ECOLOGY, 2021, 58, 608-619
dc.identifier.issn0021-8901
dc.identifier.urihttp://dspace.azti.es/handle/24689/1044-
dc.description.abstractProtected areas (PAs) are increasingly being used world-wide for the conservation and management of wildlife. Systematic conservation planning (SCP) aims at ensuring biodiversity persistence while minimizing the threats faced by the species and/or the economic costs related to protection. To account for spatio-temporal interactions between species and human threats, conservation planning for mobile wildlife requires time-series data derived from monitoring of species and human threats, a process that is costly and technically challenging. Therefore, assessments of the monitoring period needed to ensure sufficient data input in the design of efficient, adequate and representative networks of PAs are crucial. We demonstrated the value of time-series data in conservation planning by implementing SCP and data from different monitoring periods to identify priority conservation areas for highly mobile marine megafauna accounting for their main threat: commercial fishing. Two analyses of 10 reserve-design scenarios each, replicated as many times as the data composing each scenario permitted were run in Marxan. The best solutions of the planning scenarios were statistically compared using the Cohen's Kappa test. We also assessed differences in spatial similarity among and within scenarios using the Wilcoxon nonparametric test and a non-metric multidimensional scaling analysis. Finally, we compared the necessary cost and the area selected for each scenario. Our study highlights the importance of time-series ecological and socioeconomic data for the robust selection of priority conservation areas. The results revealed different thresholds of the minimum temporal data required to design efficient networks of PAs for highly mobile species, demonstrating that the incorporation of data covering longer periods to the scenarios produce a more robust selection of priority conservation areas. Conservation plans using data covering Synthesis and applications. We provide a method for estimating the minimum number of years of monitoring required to design efficient networks of protected areas that ensure the persistence of highly mobile species such as cetaceans and seabirds. This method can be used within an adaptive management framework to evaluate whether a network of protected areas performs as planned, and to test whether management strategies should be altered or adjusted in response to local and global changes.
dc.language.isoEnglish
dc.publisherWILEY
dc.subjectadaptive management
dc.subjectlong\&\#8208
dc.subjectterm monitoring
dc.subjectmarine megafauna
dc.subjectmarine protected areas
dc.subjectMarxan
dc.subjectsystematic conservation planning
dc.subjecttime series
dc.subjectVessel Monitoring System
dc.subjectMARINE PROTECTED AREAS
dc.subjectFISHING EFFORT
dc.subjectBIODIVERSITY
dc.subjectHABITAT
dc.subjectCOST
dc.subjectTHREATS
dc.subjectDIVERSITY
dc.subjectSEABIRDS
dc.subjectPATTERNS
dc.subjectMODELS
dc.titleThe value of time-series data for conservation planning
dc.typeArticle
dc.identifier.journalJOURNAL OF APPLIED ECOLOGY
dc.format.page608-619
dc.format.volume58
dc.contributor.funderSecretaria de Estado de Investigacion, Desarrollo e Innovacion [BES-2014-070597, CTM20134703-2-R, RYC-2012-09897]
dc.identifier.e-issn1365-2664
dc.identifier.doi10.1111/1365-2664.13790
Appears in Publication types:Artículos científicos



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