Titre :
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Landscape-level habitat suitability models for twelve species in southern Missouri
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Auteurs :
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M. Larson ;
W. Dijak ;
F. Thompson ;
J. Millspaugh
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Type de document :
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article/chapitre/communication
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Année de publication :
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2003
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Format :
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51 p.
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Langues:
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= Anglais
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Catégories :
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Informatique, statistique, mathématique
Protection de la nature ou de l'environnement
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Mots-clés:
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USA
;
MISSOURI
;
SYSTEME D'INFORMATION GEOGRAPHIQUE
;
HABITAT
;
FAUNE SAUVAGE
;
VEGETATION
;
MODELISATION
;
MODELE MATHEMATIQUE
;
BIOTOPE
;
QUALITE
;
ESPECE MENACEE
;
PROTECTION DES ESPECES
;
FORET
;
AMENAGEMENT DU TERRITOIRE
;
LOGICIEL
;
ECOLOGIE DU PAYSAGE
;
PAYSAGE
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Résumé :
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Geographic information systems (GIS) and abundant landscape-level data, often from remote sensing sources, provide new opportunities for biologists to model and evaluate wildlife habitat quality. Models of habitat quality have not been developed for some species, and many existing models could be improved by incorporating updated knowledge of wildlife-habitat relationships and landscape variables such as the spatial distribution of habitat components. Furthermore, landscape analyses and wildlife population priorities are common features of land management decision processes. We developed GIS-based habitat suitability index (HSI) models for 12 terrestrial vertebrate species that represent a range of potential conservation concerns and have diverse habitat requirements. We developed the models for a large, mostly forested area in southern Missouri and similar landscapes. The models are based primarily on tree species, tree age, and ecological land type-variables available in many GIS and vegetation databases. After describing and justifying the models, we applied them to maps of a study area that contained a wide range of tree ages and forest path sizes. We believe application of the habitat models in this landscape demonstrated that they satisfactorily predict habitat suitability. Readers can download a Windows-based software program from the Internet (www.ncrs.fs.fed.us/hsi/) to use in implementing the models in other landscapes.
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Source :
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USDA forest service - North Central forest experiment station - general technical report, n° NC-233
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