dc.contributor.author |
Hughes, Alice C |
|
dc.contributor.author |
Orr, Michael C |
|
dc.contributor.author |
Ma, Keping |
|
dc.contributor.author |
Costello, Mark J |
|
dc.contributor.author |
Waller, John |
|
dc.contributor.author |
Provoost, Pieter |
|
dc.contributor.author |
Yang, Qinmin |
|
dc.contributor.author |
Zhu, Chaodong |
|
dc.contributor.author |
Qiao, Huijie |
|
dc.date.accessioned |
2021-08-09T00:57:07Z |
|
dc.date.available |
2021-08-09T00:57:07Z |
|
dc.date.issued |
2021-6-21 |
|
dc.identifier.citation |
Ecography 21 Jun 2021 |
|
dc.identifier.issn |
0906-7590 |
|
dc.identifier.uri |
https://hdl.handle.net/2292/55902 |
|
dc.description.abstract |
Spatial 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.language |
en |
|
dc.publisher |
Wiley |
|
dc.relation.ispartofseries |
Ecography |
|
dc.rights |
Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. |
|
dc.rights.uri |
https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm |
|
dc.rights.uri |
https://creativecommons.org/licenses/by/3.0/ |
|
dc.subject |
Science & Technology |
|
dc.subject |
Life Sciences & Biomedicine |
|
dc.subject |
Biodiversity Conservation |
|
dc.subject |
Ecology |
|
dc.subject |
Biodiversity & Conservation |
|
dc.subject |
Environmental Sciences & Ecology |
|
dc.subject |
biodiversity |
|
dc.subject |
data |
|
dc.subject |
distributions |
|
dc.subject |
global |
|
dc.subject |
macroecology |
|
dc.subject |
species richness |
|
dc.subject |
SPECIES-RICHNESS |
|
dc.subject |
BIODIVERSITY DATA |
|
dc.subject |
GLOBAL DIVERSITY |
|
dc.subject |
PATTERNS |
|
dc.subject |
INFORMATION |
|
dc.subject |
SCALE |
|
dc.subject |
EXTRAPOLATION |
|
dc.subject |
COMPLETENESS |
|
dc.subject |
CONSERVATION |
|
dc.subject |
PUBLICATION |
|
dc.subject |
0501 Ecological Applications |
|
dc.subject |
0502 Environmental Science and Management |
|
dc.subject |
0602 Ecology |
|
dc.title |
Sampling biases shape our view of the natural world |
|
dc.type |
Journal Article |
|
dc.identifier.doi |
10.1111/ecog.05926 |
|
dc.date.updated |
2021-07-01T16:45:07Z |
|
dc.rights.holder |
Copyright: The author |
en |
pubs.author-url |
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000663857500001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=6e41486220adb198d0efde5a3b153e7d |
|
pubs.publication-status |
Published online |
|
dc.rights.accessrights |
http://purl.org/eprint/accessRights/OpenAccess |
en |
pubs.subtype |
Article |
|
pubs.subtype |
Early Access |
|
pubs.subtype |
Journal |
|
pubs.elements-id |
857889 |
|
dc.identifier.eissn |
1600-0587 |
|
pubs.number |
ecog.05926 |
|
pubs.online-publication-date |
2021-6-21 |
|