Invasive species distribution modeling (iSDM): Are absence data and dispersal constraints needed to predict actual distributions?
- Author
- VACLAVIK, Tomáš1 ; MEENTEMEYER, Ross K1
[1] Center for Applied Geographic Information Science (CAGIS), Department of Geography and Earth Sciences, University of North Carolina at Charlotte, 9201 University City Blvd, Charlotte, NC 28223, United States - Source
Ecological modelling. 2009, Vol 220, Num 23, pp 3248-3258, 11 p ; ref : 1 p.1/4
- CODEN
- ECMODT
- ISSN
- 0304-3800
- Scientific domain
- Ecology; Environment
- Publisher
- Elsevier, Amsterdam
- Publication country
- Netherlands
- Document type
- Article
- Language
- English
- Author keyword
- Dispersal Invasive species Model assessment Pseudo-absence data Spatial prediction Species distribution model Sudden oak death
- Keyword (fr)
- Aire de distribution Dispersion Espèce envahissante Modèle Modélisation Répartition spatiale Répartition géographique
- Keyword (en)
- Distribution range Dispersion Invasive species Models Modeling Spatial distribution Geographic distribution
- Keyword (es)
- Area de distribución Dispersión Especie invasora Modelo Modelización Distribución espacial Distribución geográfica
- Classification
- Pascal
- 002 Biological and medical sciences / 002A Fundamental and applied biological sciences. Psychology / 002A14 Animal, plant and microbial ecology / 002A14A General aspects. Techniques / 002A14A02 Methods and techniques (sampling, tagging, trapping, modelling...)
- Discipline
- Animal, vegetal and microbial ecology
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 22158886
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
10.1016/j.ecolmodel.2009.08.013 
https://dx.doi.org/10.1016/j.ecolmodel.2009.08.013
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