Literature DB >> 12396592

An optimality criterion to determine areas of endemism.

Claudia A Szumik1, Fabiana Cuezzo, Pablo A Goloboff, Adriana E Chalup.   

Abstract

A formal method was developed to determine areas of endemism. The study region is divided into cells, and the number of species that can be considered as endemic is counted for a given set of cells (= area). Thus, the areas with the maximum number of species considered endemic are preferred. This is the first method for the identification of areas of endemism that implements an optimality criterion directly based on considering the aspects of species distribution that are relevant to endemism. The method is implemented in two computer programs, NDM and VNDM, available from the authors.

Mesh:

Year:  2002        PMID: 12396592     DOI: 10.1080/10635150290102483

Source DB:  PubMed          Journal:  Syst Biol        ISSN: 1063-5157            Impact factor:   15.683


  15 in total

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4.  Optimising Regionalisation Techniques: Identifying Centres of Endemism in the Extraordinarily Endemic-Rich Cape Floristic Region.

Authors:  Peter L Bradshaw; Jonathan F Colville; H Peter Linder
Journal:  PLoS One       Date:  2015-07-06       Impact factor: 3.240

5.  Biogeography of Anurans from the Poorly Known and Threatened Coastal Sandplains of Eastern Brazil.

Authors:  Ariane Lima Xavier; Thaís Barreto Guedes; Marcelo Felgueiras Napoli
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Journal:  PLoS One       Date:  2015-01-22       Impact factor: 3.240

7.  Species richness of Eurasian Zephyrus hairstreaks (Lepidoptera: Lycaenidae: Theclini) with implications on historical biogeography: An NDM/VNDM approach.

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Journal:  PLoS One       Date:  2018-01-19       Impact factor: 3.240

8.  Biogeography of Amazon birds: rivers limit species composition, but not areas of endemism.

Authors:  Ubirajara Oliveira; Marcelo F Vasconcelos; Adalberto J Santos
Journal:  Sci Rep       Date:  2017-06-07       Impact factor: 4.379

9.  Islands conserve high species richness and areas of endemism of Hormaphidinae aphids.

Authors:  Yang Li; Jing Chen; Liyun Jiang; Gexia Qiao
Journal:  Curr Zool       Date:  2017-02-14       Impact factor: 2.624

10.  Hotspots within a global biodiversity hotspot - areas of endemism are associated with high mountain ranges.

Authors:  Jalil Noroozi; Amir Talebi; Moslem Doostmohammadi; Sabine B Rumpf; Hans Peter Linder; Gerald M Schneeweiss
Journal:  Sci Rep       Date:  2018-07-09       Impact factor: 4.379

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