Nom du corpus

Corpus Systématique Animale

Titre du document

Nature reserve selection in the Transvaal, South Africa: what data should we be using?

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Éditeur
Springer (journals)
Langue(s) du document
Anglais
Type de document
Research-article
Mots-clés d'auteur
  • reserve selection
  • databases
  • mammals
  • South Africa
Nom du fichier dans la ressource
Mammiferes_v2b_01434
Auteur(s)
  • Stefanie Freitag 1
  • A. O. Nicholls 2
  • A. S. van Jaarsveld 1
Affiliation(s)
  • 1) Department of Zoology and Entomology, University of Pretoria, 0002, Pretoria, South Africa
  • 2) CSIRO Division of Wildlife and Ecology, PO Box 84, 2602, Lyneham, ACT, Australia
Résumé

: Iterative reserve selection algorithms were applied to two mammal databases, generalized to sixteenth degree grid squares, for the Transvaal region of South Africa. Based on primary point data, 24 grid squares are required to represent all species at least once, while only 13 grid squares are required when based on distribution map data; only two of these grid squares are common to both analyses. As the number of representations per species is increased from one to five, the number of selected grid squares increased to 86 and 71 or 72 respectively, with only 17 of these common to both analyses. These differences in the selection of sites are further reflected in the degree of congruence between selected grid squares and existing conservation areas which is on average 63.3% for grid squares selected from the primary database and only 42.5% for those selected from the distribution map database. These results emphasize the importance of quality data input when evaluating regional reserve networks. Highly generalized distribution map data sets, on the one hand, are extrapolations of limited data sets and contain non-quantifiable levels of false-positives which could have significant implications if used for establishing regional reserve networks. On the other hand, although there are problems associated with the establishment of primary diversity databases, namely data currency and uneven and non-random sampling (leading to false negatives), they remain our most reliable option for assigning conservation value.

Catégories Science-Metrix
  • 1 - natural sciences
  • 2 - biology
  • 3 - ecology
Catégories INIST
  • 1 - sciences appliquees, technologies et medecines
  • 2 - sciences biologiques et medicales
  • 3 - sciences biologiques fondamentales et appliquees. psychologie
Catégories Scopus
  • 1 - Physical Sciences ; 2 - Environmental Science ; 3 - Nature and Landscape Conservation
  • 1 - Physical Sciences ; 2 - Environmental Science ; 3 - Ecology
  • 1 - Life Sciences ; 2 - Agricultural and Biological Sciences ; 3 - Ecology, Evolution, Behavior and Systematics
Catégories WoS
  • 1 - science ; 2 - environmental sciences
  • 1 - science ; 2 - ecology
  • 1 - science ; 2 - biodiversity conservation
Identifiant ISTEX
FD3826CF05641A62628C0F1A990D6D998E5D9E53
Revue

Biodiversity & Conservation

Année de publication
1996
Présence de XML structuré
Non
Version PDF
1.3
Score qualité du texte
9.808
Sous-corpus
  • Mammiferes
Type de publication
Journal
ark:/67375/1BB-3N5013W0-N
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