Repository logo
 

Translating habitat class to land cover to map area of habitat of terrestrial vertebrates.

Simple item page
cam.issuedOnline2021-11-29
dc.contributor.authorLumbierres, Maria
dc.contributor.authorDahal, Prabhat Raj
dc.contributor.authorDi Marco, Moreno
dc.contributor.authorButchart, Stuart HM
dc.contributor.authorDonald, Paul F
dc.contributor.authorRondinini, Carlo
dc.contributor.orcidLumbierres, Maria [0000-0001-8442-1264]
dc.contributor.orcidDahal, Prabhat Raj [0000-0003-3490-4078]
dc.contributor.orcidButchart, Stuart HM [0000-0002-1140-4049]
dc.contributor.orcidDonald, Paul F [0000-0003-0023-6200]
dc.contributor.orcidRondinini, Carlo [0000-0002-6617-018X]
dc.date.accessioned2021-12-15T11:11:13Z
dc.date.available2021-12-15T11:11:13Z
dc.date.issued2022-06
dc.date.submitted2021-05-27
dc.date.updated2021-12-15T11:11:13Z
dc.description.abstractArea of habitat (AOH) is defined as the "habitat available to a species, that is, habitat within its range" and is calculated by subtracting areas of unsuitable land cover and elevation from the range. The International Union for the Conservation of Nature (IUCN) Habitats Classification Scheme provides information on species habitat associations, and typically unvalidated expert opinion is used to match habitat to land-cover classes, which generates a source of uncertainty in AOH maps. We developed a data-driven method to translate IUCN habitat classes to land cover based on point locality data for 6986 species of terrestrial mammals, birds, amphibians, and reptiles. We extracted the land-cover class at each point locality and matched it to the IUCN habitat class or classes assigned to each species occurring there. Then, we modeled each land-cover class as a function of IUCN habitat with (SSG, using) logistic regression models. The resulting odds ratios were used to assess the strength of the association between each habitat and land-cover class. We then compared the performance of our data-driven model with those from a published translation table based on expert knowledge. We calculated the association between habitat classes and land-cover classes as a continuous variable, but to map AOH as binary presence or absence, it was necessary to apply a threshold of association. This threshold can be chosen by the user according to the required balance between omission and commission errors. Some habitats (e.g., forest and desert) were assigned to land-cover classes with more confidence than others (e.g., wetlands and artificial). The data-driven translation model and expert knowledge performed equally well, but the model provided greater standardization, objectivity, and repeatability. Furthermore, our approach allowed greater flexibility in the use of the results and uncertainty to be quantified. Our model can be modified for regional examinations and different taxonomic groups.
dc.identifier.doi10.17863/CAM.78926
dc.identifier.eissn1523-1739
dc.identifier.issn0888-8892
dc.identifier.othercobi13851
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/331472
dc.languageen
dc.language.isoeng
dc.publisherWiley
dc.publisher.urlhttp://dx.doi.org/10.1111/cobi.13851
dc.subjectCopernicus Global Land Service Land Cover (CGLS-LC100)
dc.subjectESA Climate Change Initiative (ESA-CCI)
dc.subjectEsquema de Clasificación de Hábitats de la UICN
dc.subjectIUCN Habitat Classification Scheme
dc.subjectIUCN Red List
dc.subjectIniciativa de Cambio Climático ESA (ESA-CCI)
dc.subjectLista Roja de la UICN
dc.subjectcommission and omission errors
dc.subjecterrores de comisión y omisión
dc.subjecthabitat suitability models
dc.subjectmodelos de idoneidad de hábitat
dc.subject《 IUCN 栖息地分类方案》
dc.subject《 IUCN 红色名录》
dc.subject哥白尼全球土地服务土地覆盖 (CGLS-LC100)
dc.subject栖息地适宜性模型
dc.subject欧洲航天局气候变化倡议 (ESA-CCI)
dc.subject错分与漏分误差
dc.subjectAnimals
dc.subjectBirds
dc.subjectConservation of Natural Resources
dc.subjectEcosystem
dc.subjectForests
dc.subjectMammals
dc.subjectVertebrates
dc.titleTranslating habitat class to land cover to map area of habitat of terrestrial vertebrates.
dc.typeArticle
dcterms.dateAccepted2021-08-18
prism.publicationNameConserv Biol
rioxxterms.licenseref.urihttp://creativecommons.org/licenses/by-nc/4.0/
rioxxterms.versionVoR
rioxxterms.versionofrecord10.1111/cobi.13851

Files

Original bundle
Now showing 1 - 2 of 2
Thumbnail Image
Name:
cobi.13851.pdf
Size:
2.48 MB
Format:
Adobe Portable Document Format
Description:
Published version
Licence
http://creativecommons.org/licenses/by-nc/4.0/
Download
No Thumbnail Available
Name:
cobi.13851.xml
Size:
12.82 KB
Format:
Extensible Markup Language
Description:
Bibliographic metadata
Licence
http://creativecommons.org/licenses/by-nc/4.0/
Download

Collections

Jisc Publications Router