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dc.contributor.authorCobos, Marlon E.
dc.contributor.authorNuñez-Penichet, Claudia
dc.contributor.authorCampbell, Peter D.
dc.contributor.authorCooper, Jacob C.
dc.contributor.authorMachado-Stredel, Fernando
dc.contributor.authorBarve, Narayani
dc.contributor.authorAshraf, Uzma
dc.contributor.authorAlkishe, Abdelghafar A.
dc.contributor.authorNg'eno, Eric
dc.contributor.authorNair, Rahul Raveendran
dc.contributor.authorAtauchi, P. Joser
dc.contributor.authorAdeboje, Adeola
dc.contributor.authorPeterson, A. Townsend
dc.identifier.citationCobos, M.E., et al., (2023), Effects of occurrence data density on conservation prioritization strategies, Biological Conservation, vol. 284, 110207,
dc.description.abstractPlace-prioritization analyses are a means by which researchers can translate information on the geographic distributions of species into quantitative prioritizations of areas for biodiversity conservation action. Although several robust algorithms are now available to support this sort of analysis, their vulnerability to biases deriving from incomplete and imbalanced distributional information is not well understood. In this contribution, we took a well-sampled group (i.e., Icteridae or New World blackbirds) in an intensively sampled region (the contiguous continental United States), and developed a set of pseudo-experimental manipulations of occurrence data density—in effect, we created situations in which data density was reduced 10- or 100-fold, and situations in which data density varied 100-fold from region to region. The effects were marked: priority areas for conservation shifted, appeared, and disappeared as a function of our manipulations. That is, differences in density of data can affect the position and complexity of areas of high conservation priority that are identified using distributional areas of species derived from ecological niche modeling. The effects of data density on prioritizations become more diffuse when considerations of existing protected areas and costs related to human intervention are taken into account, but changes are still manifested. Appropriate considerations of sampling density when constructing ecological niche models to identify distributional areas of species are key to preventing artifactual biases from entering into and affecting results of analyses of conservation priority.en_US
dc.rights© 2023 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license.en_US
dc.subjectOccurrence dataen_US
dc.subjectData densityen_US
dc.subjectEcological niche modelen_US
dc.subjectSpecies distribution modelsen_US
dc.titleEffects of occurrence data density on conservation prioritization strategiesen_US
kusw.kuauthorCobos, Marlon E.
kusw.kuauthorNuñez-Penichet, Claudia
kusw.kuauthorCampbell, Peter D.
kusw.kuauthorCooper, Jacob C.
kusw.kuauthorMachado-Stredel, Fernando
kusw.kuauthorAlkishe, Abdelghafar A.
kusw.kuauthorNg'eno, Eric
kusw.kuauthorNair, Rahul Raveendran
kusw.kuauthorAdeboje, Adeola
kusw.kuauthorPeterson, A. Townsend
kusw.kudepartmentEcology and Evolutionary Biologyen_US
kusw.kudepartmentBiodiversity Instituteen_US
kusw.oaversionScholarly/refereed, publisher versionen_US
kusw.oapolicyThis item meets KU Open Access policy criteria.en_US

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© 2023 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license.
Except where otherwise noted, this item's license is described as: © 2023 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license.