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Article: Sampling biases shape our view of the natural world

TitleSampling biases shape our view of the natural world
Authors
Keywordsbiodiversity
data
distributions
global
macroecology
species richness
Issue Date2021
Citation
Ecography, 2021, v. 44, n. 9, p. 1259-1269 How to Cite?
AbstractSpatial patterns of biodiversity are inextricably linked to their collection methods, yet no synthesis of bias patterns or their consequences exists. As such, views of organismal distribution and the ecosystems they make up may be incorrect, undermining countless ecological and evolutionary studies. Using 742 million records of 374 900 species, we explore the global patterns and impacts of biases related to taxonomy, accessibility, ecotype and data type across terrestrial and marine systems. Pervasive sampling and observation biases exist across animals, with only 6.74% of the globe sampled, and disproportionately poor tropical sampling. High elevations and deep seas are particularly unknown. Over 50% of records in most groups account for under 2% of species and citizen-science only exacerbates biases. Additional data will be needed to overcome many of these biases, but we must increasingly value data publication to bridge this gap and better represent species' distributions from more distant and inaccessible areas, and provide the necessary basis for conservation and management.
Persistent Identifierhttp://hdl.handle.net/10722/309566
ISSN
2023 Impact Factor: 5.4
2023 SCImago Journal Rankings: 2.540
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorHughes, Alice C.-
dc.contributor.authorOrr, Michael C.-
dc.contributor.authorMa, Keping-
dc.contributor.authorCostello, Mark J.-
dc.contributor.authorWaller, John-
dc.contributor.authorProvoost, Pieter-
dc.contributor.authorYang, Qinmin-
dc.contributor.authorZhu, Chaodong-
dc.contributor.authorQiao, Huijie-
dc.date.accessioned2021-12-29T07:02:44Z-
dc.date.available2021-12-29T07:02:44Z-
dc.date.issued2021-
dc.identifier.citationEcography, 2021, v. 44, n. 9, p. 1259-1269-
dc.identifier.issn0906-7590-
dc.identifier.urihttp://hdl.handle.net/10722/309566-
dc.description.abstractSpatial patterns of biodiversity are inextricably linked to their collection methods, yet no synthesis of bias patterns or their consequences exists. As such, views of organismal distribution and the ecosystems they make up may be incorrect, undermining countless ecological and evolutionary studies. Using 742 million records of 374 900 species, we explore the global patterns and impacts of biases related to taxonomy, accessibility, ecotype and data type across terrestrial and marine systems. Pervasive sampling and observation biases exist across animals, with only 6.74% of the globe sampled, and disproportionately poor tropical sampling. High elevations and deep seas are particularly unknown. Over 50% of records in most groups account for under 2% of species and citizen-science only exacerbates biases. Additional data will be needed to overcome many of these biases, but we must increasingly value data publication to bridge this gap and better represent species' distributions from more distant and inaccessible areas, and provide the necessary basis for conservation and management.-
dc.languageeng-
dc.relation.ispartofEcography-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectbiodiversity-
dc.subjectdata-
dc.subjectdistributions-
dc.subjectglobal-
dc.subjectmacroecology-
dc.subjectspecies richness-
dc.titleSampling biases shape our view of the natural world-
dc.typeArticle-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1111/ecog.05926-
dc.identifier.scopuseid_2-s2.0-85108298654-
dc.identifier.volume44-
dc.identifier.issue9-
dc.identifier.spage1259-
dc.identifier.epage1269-
dc.identifier.eissn1600-0587-
dc.identifier.isiWOS:000663857500001-

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