Areas of Endemism: An Improved Optimality Criterion

The grid-based method to identify areas of endemism proposed by Szumik et al. (Syst. Biol. 51:806–816, 2002) is extended. The improvements include the ability to assign scores of endemicity to sets of disjoint areas, and to have each species contribute more to the score of endemicity of an area, or...

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Veröffentlicht in:Systematic biology Jg. 53; H. 6; S. 968 - 977
Hauptverfasser: Szumik, Claudia A., Goloboff, Pablo A., Linder, Peter
Format: Journal Article
Sprache:Englisch
Veröffentlicht: England Society of Systematic Zoology 01.12.2004
Taylor and Francis
Oxford University Press
Schlagworte:
Algorithms
Animals
Biogeography
Biological taxonomies
Biology
Coleoptera
Datasets
Distribution patterns
Endemic species
Endemism
Environment
Environmental Monitoring
Evolutionary biology
Geography
Habitats
Logical givens
Models, Theoretical
Parsimony
Phylogeny
Population Dynamics
Species
Biogeography
endemism
distribution patterns
ISSN:1063-5157, 1076-836X
Online-Zugang:Volltext
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Zusammenfassung:The grid-based method to identify areas of endemism proposed by Szumik et al. (Syst. Biol. 51:806–816, 2002) is extended. The improvements include the ability to assign scores of endemicity to sets of disjoint areas, and to have each species contribute more to the score of endemicity of an area, or less, according to how well its distribution matches the area. The modified method also allows for partially overlapping areas; an area partially overlapping with another one of higher score is retained when the set of lower score has a minimum proportion of species endemic to it. Algorithms to evaluate areas of endemism under this criterion are discussed, and implemented in a computer program (NDM; available at www.zmuc.dk/public/phylogeny). The new algorithms allow evaluation of much larger data sets.
Bibliographie:istex:EEA521ED9A8D3474FF43285DEBCA754CAAF35EAC
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ISSN:1063-5157
1076-836X
DOI:10.1080/10635150490888859