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KnowBR: an application to map the geographical variation of survey effort and identify well-surveyed areas from biodiversity databases

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dc.contributor.authorLobo, Jorge M.
dc.contributor.authorHortal, Joaquín
dc.contributor.authorYela, José Luis
dc.contributor.authorMillán, Andrés
dc.contributor.authorSánchez Fernández, David
dc.contributor.authorGarcía-Roselló, Emilio
dc.contributor.authorGonzález Dacosta, Jacinto
dc.contributor.authorHeine, Juergen
dc.contributor.authorGonzález Vilas, Luís
dc.contributor.authorGuisande, Castor
dc.contributor.departmentEcología e Hidrología
dc.date.accessioned2025-01-28T13:04:35Z
dc.date.available2025-01-28T13:04:35Z
dc.date.issued2018-08
dc.description© 2018 Elsevier Ltd. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ This document is the Published version of a Published Work that appeared in final form in Ecological Indicators. To access the final edited and published work see https://doi.org/10.1016/j.ecolind.2018.03.077es
dc.description.abstractBiodiversity databases are typically incomplete and biased. We identify their three main limitations for characterizing the geographic distributions of species: unknown levels of survey effort, unknown absences of a species from a region, and unknown level of repeated occurrence of a species in different samples collected at the same location. These limitations hinder our ability to distinguish between the actual absence of a species at a given location and its (erroneous) apparent absence as consequence of inadequate surveys. Good practice in biodiversity research requires knowledge of the number, location and degree of completeness of relatively well-surveyed inventories within territorial units. We herein present KnowBR, an application designed to simultaneously estimate the completeness of species inventories across an unlimited number of spatial units and different geographical extents, resolutions and unit expanses from any biodiversity database. We use the number of database records gathered in a territorial unit as a surrogate of survey effort, assuming that such number correlates positively with the probability of recording a species within such area. Consequently, KnowBR uses a “record-by-species” matrix to estimate the relationship between the accumulated number of species and the number of database records to characterize the degree of completeness of the surveys. The final slope of the species accumulation curves and completeness percentages are used to discriminate and map well-surveyed territorial units according to user criteria. The capacity and possibilities of KnowBR are demonstrated through two examples derived from data of varying geographic extent and numbers of records. Further, we identify the main advances that would improve the current functionality of KnowBR.es
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dc.format.extent8es
dc.identifier.citationEcological Indicators, 2018, Vol. 91, pp. 241-248
dc.identifier.doihttps://doi.org/10.1016/j.ecolind.2018.03.077
dc.identifier.issnPrint: 1470-160X
dc.identifier.issnElectronic: 1872-7034
dc.identifier.urihttp://hdl.handle.net/10201/149482
dc.languageenges
dc.publisherElsevieres
dc.relationThe development of KnowBR has been supported by the projects BIOWEB (CGL2011-15622-E BOS) and BANDENCO (POII11-0277-5747) founded by Spanish Ministerio de Ciencia e Innovación and the Consejería de Educación, Ciencia y Cultura-Junta de Comunidades de Castilla-La Mancha, respectively. DSF was supported by a post-doctoral contract funded by Universidad de Castilla-La Mancha and the European Social Fund (ESF).es
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S1470160X18302322?via%3Dihubes
dc.rightsinfo:eu-repo/semantics/openAccesses
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectSpatial biases
dc.subjectData limitationses
dc.subjectDatabase recordses
dc.subjectGeographic distributiones
dc.subjectSurvey completenesses
dc.subjectWallacean shortfalles
dc.titleKnowBR: an application to map the geographical variation of survey effort and identify well-surveyed areas from biodiversity databaseses
dc.typeinfo:eu-repo/semantics/articlees
dspace.entity.typePublicationes
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