Literature DB >> 12116639

On areas of endemism, with an example from the African Restionaceae.

H P Linder1.   

Abstract

Areas of endemism are central to cladistic biogeography. The concept has been much debated in the past, and from this has emerged the generally accepted definition as an area to which at least two species are endemic. Protocols for locating areas of endemism have been neglected, and to date no attempt has been made to develop optimality criteria against which to evaluate competing hypotheses of areas of endemism. Here various protocols for finding areas of endemism are evaluated--protocols based on both phonetic and parsimony analyses, on both unweighted data and data weighted by various criteria. The optimality criteria used to compare the performance of the methods include the number of species included in the areas of endemism, the number of areas delimited, and the degree of distributional congruency of the species restricted to each area of endemism. These methods are applied to the African Restionaceae in the Cape Floristic Region. Parsimony methods using weighted data are shown to perform best on the combination of all three optimality criteria. By varying the weighting parameters, the size of the areas of endemism can be varied. This provides a very useful tool for locating areas of endemism that satisfy prespecified scale criteria.

Mesh:

Year:  2001        PMID: 12116639     DOI: 10.1080/106351501753462867

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


  14 in total

1.  Phylogenetic tests of distribution patterns in South Asia: towards an integrative approach.

Authors:  Sayantan Biswas; Samraat S Pawar
Journal:  J Biosci       Date:  2006-03       Impact factor: 1.826

2.  Use of parsimony analysis to identify areas of endemism of chinese birds: implications for conservation and biogeography.

Authors:  Xiao-Lei Huang; Ge-Xia Qiao; Fu-Min Lei
Journal:  Int J Mol Sci       Date:  2010-05-10       Impact factor: 5.923

3.  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

4.  Delimiting areas of endemism through kernel interpolation.

Authors:  Ubirajara Oliveira; Antonio D Brescovit; Adalberto J Santos
Journal:  PLoS One       Date:  2015-01-22       Impact factor: 3.240

5.  Influence of current climate, historical climate stability and topography on species richness and endemism in Mesoamerican geophyte plants.

Authors:  Victoria Sosa; Israel Loera
Journal:  PeerJ       Date:  2017-10-20       Impact factor: 2.984

6.  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

7.  Land snail biogeography and endemism in south-eastern Africa: Implications for the Maputaland-Pondoland-Albany biodiversity hotspot.

Authors:  Sandun J Perera; David G Herbert; Şerban Procheş; Syd Ramdhani
Journal:  PLoS One       Date:  2021-03-04       Impact factor: 3.240

8.  Linking Taxonomic, Phylogenetic and Functional Plant Diversity with Ecosystem Services of Cliffs and Screes in Greece.

Authors:  Maria Panitsa; Ioannis P Kokkoris; Konstantinos Kougioumoutzis; Anna Kontopanou; Ioannis Bazos; Arne Strid; Panayotis Dimopoulos
Journal:  Plants (Basel)       Date:  2021-05-17

9.  Patterns of diversity, areas of endemism, and multiple glacial refuges for freshwater crabs of the genus Sinopotamon in China (Decapoda: Brachyura: Potamidae).

Authors:  Fang Fang; Hongying Sun; Qiang Zhao; Congtian Lin; Yufang Sun; Wei Gao; Juanjuan Xu; Junying Zhou; Feng Ge; Naifa Liu
Journal:  PLoS One       Date:  2013-01-04       Impact factor: 3.240

10.  The geography of evolutionary divergence in the highly endemic avifauna from the Sierra Madre del Sur, Mexico.

Authors:  Alberto Rocha-Méndez; Luis A Sánchez-González; Clementina González; Adolfo G Navarro-Sigüenza
Journal:  BMC Evol Biol       Date:  2019-12-30       Impact factor: 3.260

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