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dc.contributor.authorMurguzur, Francisco Javier Ancin
dc.contributor.authorMunoz, Lorena
dc.contributor.authorMonz, Christopher
dc.contributor.authorFauchald, Per
dc.contributor.authorHausner, Vera Helene
dc.date.accessioned2019-08-13T21:25:15Z
dc.date.available2019-08-13T21:25:15Z
dc.date.issued2018-11-19
dc.description.abstractDecision makers and stakeholders need high-quality data to manage ecosystem services (ES) efficiently. Landscape-level data on ES that are of sufficient quality to identify spatial tradeoffs, co-occurrence and hotspots of ES are costly to collect, and it is therefore important to increase the efficiency of sampling of primary data. We demonstrate how ES could be assessed more efficiently through image-based point intercept method and determine the tradeoff between the number of sample points (pins) used per image and the robustness of the measurements. We performed a permutation study to assess the reliability implications of reducing the number of pins per image. We present a flexible approach to optimize landscape-level assessments of ES that maximizes the information obtained from 1 m<sup>2</sup> digital images. Our results show that 30 pins are sufficient to measure ecosystem service indicators with a crown cover higher than 5% for landscape scale assessments. Reducing the number of pins from 100 to 30 reduces the processing time up to a 50% allowing to increase the number of sampled plots, resulting in more management-relevant ecosystem service maps. The three criteria presented here provide a flexible approach for optimal design of landscape-level assessments of ES.en_US
dc.description.sponsorshipFramsenteret: ES Arcticen_US
dc.descriptionSource at <a href=https://doi.org/10.1080/26395908.2018.1541329>https://doi.org/10.1080/26395908.2018.1541329</a>.en_US
dc.identifier.citationMurguzur, F.J.A., Munoz, L., Monz, C., Fauchald, P. & Hausner, V. (2019). Efficient sampling for ecosystem service supply assessment at a landscape scale. <i>Ecosystems and People, 15</i>(1), 33-41. https://doi.org/10.1080/26395908.2018.1541329en_US
dc.identifier.issn2639-5908
dc.identifier.issn2639-5916
dc.identifier.otherFRIDAID 1637662
dc.identifier.other10.1080/26395908.2018.1541329
dc.identifier.urihttps://hdl.handle.net/10037/15908
dc.language.isoengen_US
dc.publisherTaylor & Francisen_US
dc.relation.journalEcosystems and People
dc.rights.accessRightsopenAccessen_US
dc.subjectVDP::Mathematics and natural science: 400::Zoology and botany: 480::Ecology: 488en_US
dc.subjectVDP::Matematikk og Naturvitenskap: 400::Zoologiske og botaniske fag: 480::Økologi: 488en_US
dc.subjectImage based point intercepten_US
dc.subjectecosystem service indicatorsen_US
dc.subjectvegetationen_US
dc.subjectground truthen_US
dc.subjectmonitoringen_US
dc.subjectpinsen_US
dc.subjectpermutationen_US
dc.titleEfficient sampling for ecosystem service supply assessment at a landscape scaleen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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