Trade-offs between data resolution, accuracy, and cost when choosing information to plan reserves for coral reef ecosystems

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dc.contributor.authorTulloch, Vivitskaia J.
dc.contributor.authorKlein, Carissa
dc.contributor.authorJupiter, Stacy D.
dc.contributor.authorTulloch, Ayesha
dc.contributor.authorRoelfsema, Chris
dc.contributor.authorPossingham, Hugh P
dc.date.accessioned2021-10-07T22:53:10Z
dc.date.issued2017
dc.date.updated2020-11-23T11:23:15Z
dc.description.abstractConservation planners must reconcile trade-offs associated with using biodiversity data of differing qualities to make decisions. Coarse habitat classifications are commonly used as surrogates to design marine reserve networks when fine-scale biodiversity data are incomplete or unavailable. Although finely-classified habitat maps provide more detail, they may have more misclassification errors, a common problem when remotely-sensed imagery is used. Despite these issues, planners rarely consider the effects of errors when choosing data for spatially explicit conservation prioritizations. Here we evaluate trade-offs between accuracy and resolution of hierarchical coral reef habitat data (geomorphology and benthic substrate) derived from remote sensing, in spatial planning for Kubulau District, Fiji. For both, we use accuracy information describing the probability that a mapped habitat classification is correct to design marine reserve networks that achieve habitat conservation targets, and demonstrate inadequacies of using habitat maps without accuracy data. We show that using more detailed habitat information ensures better representation of biogenic habitats (i.e. coral and seagrass), but leads to larger and more costly reserves, because these data have more misclassification errors, and are also more expensive to obtain. Reduced impacts on fishers are possible using coarsely-classified data, which are also more cost-effective for planning reserves if we account for data collection costs, but using these data may under-represent reef habitats that are important for fisheries and biodiversity, due to the maps low thematic resolution. Finally, we show that explicitly accounting for accuracy information in decisions maximizes the chance of successful conservation outcomes by reducing the risk of missing conservation representation targets, particularly when using finely classified dataen_AU
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.issn0301-4797en_AU
dc.identifier.urihttp://hdl.handle.net/1885/250550
dc.language.isoen_AUen_AU
dc.publisherAcademic Pressen_AU
dc.rights© 2016 Elsevier Ltd.en_AU
dc.sourceJournal of Environmental Managementen_AU
dc.subjectMarine protected areaen_AU
dc.subjectConservationen_AU
dc.subjectSpatial planningen_AU
dc.subjectCost-effectivenessen_AU
dc.subjectSurrogateen_AU
dc.subjectHabitat classificationen_AU
dc.titleTrade-offs between data resolution, accuracy, and cost when choosing information to plan reserves for coral reef ecosystemsen_AU
dc.typeJournal articleen_AU
local.bibliographicCitation.lastpage119en_AU
local.bibliographicCitation.startpage108en_AU
local.contributor.affiliationTulloch, Vivitskaia J., University of Queenslanden_AU
local.contributor.affiliationKlein, Carissa, University of Queenslanden_AU
local.contributor.affiliationJupiter, Stacy D., Wildlife Conservation Societyen_AU
local.contributor.affiliationTulloch, Ayesha, College of Science, ANUen_AU
local.contributor.affiliationRoelfsema, Chris, University of Queenslanden_AU
local.contributor.affiliationPossingham, Hugh P, University of Queenslanden_AU
local.contributor.authoremailu5697774@anu.edu.auen_AU
local.contributor.authoruidTulloch, Ayesha, u5697774en_AU
local.description.embargo2099-12-31
local.description.notesImported from ARIESen_AU
local.identifier.absfor050202 - Conservation and Biodiversityen_AU
local.identifier.absfor050211 - Wildlife and Habitat Managementen_AU
local.identifier.absseo960500 - ECOSYSTEM ASSESSMENT AND MANAGEMENTen_AU
local.identifier.ariespublicationa383154xPUB6318en_AU
local.identifier.citationvolume188en_AU
local.identifier.doi10.1016/j.jenvman.2016.11.070en_AU
local.identifier.scopusID2-s2.0-85008646184
local.identifier.thomsonID000393260900013
local.identifier.uidSubmittedBya383154en_AU
local.publisher.urlhttps://www.elsevier.com/en-auen_AU
local.type.statusPublished Versionen_AU

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