Geometry and scale in species–area relationships

Henrique Miguel Pereira (), Luís Borda- de-Água and Inês Santos Martins
Additional contact information
Henrique Miguel Pereira: Centro de Biologia Ambiental, Faculdade de Ciências da Universidade de Lisboa
Luís Borda- de-Água: Centro de Biologia Ambiental, Faculdade de Ciências da Universidade de Lisboa
Inês Santos Martins: Centro de Biologia Ambiental, Faculdade de Ciências da Universidade de Lisboa

Nature, 2012, vol. 482, issue 7386, E3-E4

Abstract: Abstract Arising from F. He & S. P. Hubbell Nature 473, 368–371 (2011)10.1038/nature09985 . He and Hubbell developed a sampling theory for the species–area relationship (SAR) and the endemics–area relationship (EAR)1. They argued that the number of extinctions after habitat loss is described by the EAR and that extinction rates in previous studies are overestimates because the EAR is always lower than the SAR. Here we show that their conclusion is not general and depends on the geometry of habitat destruction and the scale of the SAR. We also question their critique of the Millennium Ecosystem Assessment estimates, as those estimates are not dependent on the SAR only, although important uncertainties remain due to other methodological issues.

Date: 2012
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.nature.com/articles/nature10857 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:nature:v:482:y:2012:i:7386:d:10.1038_nature10857

Ordering information: This journal article can be ordered from
https://www.nature.com/

DOI: 10.1038/nature10857

Access Statistics for this article

Nature is currently edited by Magdalena Skipper

More articles in Nature from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().