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dc.contributor.authorJetz, Walter
dc.contributor.authorMcGeoch, Melodie A.
dc.contributor.authorGuralnick, Robert
dc.contributor.authorFerrier, Simon
dc.contributor.authorBeck, Jan
dc.contributor.authorCostello, Mark J.
dc.contributor.authorFernandez, Miguel
dc.contributor.authorGeller, Gary N.
dc.contributor.authorKeil, Petr
dc.contributor.authorMerow, Cory
dc.contributor.authorMeyer, Carsten
dc.contributor.authorMuller-Karger, Frank E.
dc.contributor.authorPereira, Henrique M.
dc.contributor.authorRegan, Eugenie C.
dc.contributor.authorSchmeller, Dirk S.
dc.contributor.authorTurak, Eren
dc.date.accessioned2020-05-05T20:21:32Z
dc.date.available2020-05-05T20:21:32Z
dc.date.issued2019
dc.identifier.citationJetz, W.; McGeoch, M.A.; Guralnick, R.; et al (2019) Essential biodiversity variables for mapping and monitoring species populations. Nature Ecology & Evolution, 3, pp.539–551. DOI: https://doi.org/10.1038/s41559-019-0826-1.en_US
dc.identifier.urihttp://hdl.handle.net/11329/1323
dc.identifier.urihttp://dx.doi.org/10.25607/OBP-831
dc.description.abstractSpecies distributions and abundances are undergoing rapid changes worldwide. This highlights the significance of reliable, integrated information for guiding and assessing actions and policies aimed at managing and sustaining the many functions and benefits of species. Here we synthesize the types of data and approaches that are required to achieve such an integration and conceptualize ‘essential biodiversity variables’ (EBVs) for a unified global capture of species populations in space and time. The inherent heterogeneity and sparseness of raw biodiversity data are overcome by the use of models and remotely sensed covariates to inform predictions that are contiguous in space and time and global in extent. We define the species population EBVs as a space–time–species–gram (cube) that simultaneously addresses the distribution or abundance of multiple species, with its resolution adjusted to represent available evidence and acceptable levels of uncertainty. This essential information enables the monitoring of single or aggregate spatial or taxonomic units at scales relevant to research and decision-making. When combined with ancillary environmental or species data, this fundamental species population information directly underpins a range of biodiversity and ecosystem function indicators. The unified concept we present links disparate data to downstream uses and informs a vision for species population monitoring in which data collection is closely integrated with models and infrastructure to support effective biodiversity assessment.en_US
dc.language.isoenen_US
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subject.otherMarine biodiversityen_US
dc.subject.otherSpecies distributionen_US
dc.subject.otherSpecies populationen_US
dc.titleEssential biodiversity variables for mapping and monitoring species populations.en_US
dc.typeJournal Contributionen_US
dc.description.refereedRefereeden_US
dc.format.pagerangepp.539–551en_US
dc.identifier.doihttps://doi.org/10.1038/s41559-019-0826-1
dc.subject.parameterDisciplineParameter Discipline::Biological oceanography::Biota compositionen_US
dc.subject.dmProcessesData Management Practices::Data processingen_US
dc.bibliographicCitation.titleNature Ecology & Evolutionen_US
dc.bibliographicCitation.volume3en_US
dc.description.sdg14.Aen_US
dc.description.maturitylevelTRL 6 System/subsystem model or prototyping demonstration in a relevant end-to-end environment (ground or space)en_US
dc.description.bptypeManual (incl. handbook, guide, cookbook etc)en_US
obps.contact.contactnameWalter Jetz
obps.contact.contactemailwalter.jetz@yale.edu
obps.resourceurl.publisherhttps://www.nature.com/articles/s41559-019-0826-1en_US


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Attribution 4.0 International
Except where otherwise noted, this item's license is described as Attribution 4.0 International