Comparing the predictive capability of forest songbird habitat models based on remotely sensed versus ground-based vegetation information
- Author
- BAYNE, Erin M1 ; HACHE, Samuel2 ; HOBSON, Keith A3
[1] Integrated Landscape Management Group, Department of Biological Sciences, CW 405, Biological Sciences Centre, University of Alberta, Edmonton, AB T6G 2E9, Canada
[2] Department of Biological Sciences, CW 405, Biological Sciences Centre, University of Alberta, Edmonton, AB T6G 2E9, Canada
[3] Canadian Wildlife Service, 115 Perimeter Road, Saskatoon, SK S7N 0X4, Canada; Department of Biology, University of Saskatchewan, 112 Science Place, Saskatoon, SK S7N 5E2, Canada - Source
Canadian journal of forest research (Print). = Revue canadienne de recherche forestière. 2010, Vol 40, Num 1, pp 65-71, 7 p ; ref : 3/4 p
- CODEN
- CJFRAR
- ISSN
- 0045-5067
- Scientific domain
- Ecology; Environment; Forestry, silviculture
- Publisher
- National Research Council of Canada, Ottawa, ON
- Publication country
- Canada
- Document type
- Article
- Language
- English
- Keyword (fr)
- Aves Foresterie Forêt Habitat Mesure basée sol Modélisation Prédiction Télédétection Végétation Vertebrata
- Keyword (en)
- Aves Forestry Forests Habitat Ground based measurement Modeling Prediction Remote sensing Vegetation Vertebrata
- Keyword (es)
- Aves Ciencias forestales Bosque Habitat Medida en tierra Modelización Predicción Teledetección Vegetación Vertebrata
- Classification
- Pascal
- 002 Biological and medical sciences / 002A Fundamental and applied biological sciences. Psychology / 002A33 Forestry
- Discipline
- Silviculture
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 22536374
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1139/X09-170 
https://dx.doi.org/10.1139/X09-170
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