A framework for evaluating forest landscape model predictions using empirical data and knowledge
- Author
- WANG, Wen J1 ; HE, Hong S1 ; SPETICH, Martin A2 ; SHIFLEY, Stephen R3 ; THOMPSON, Frank R3 ; DIJAK, William D3 ; QIA WANG1
[1] School of Natural Resource, University of Missouri, 203 ABNR Bidg, Columbia, MO 65201, United States
[2] Arkansas Forestry Sciences Laboratory, USDA Forest Service, Southern Research Station, P.O. Box 1270, Hot Spring, AR 71902, United States
[3] USDA Forest Service, Northern Research Station, 202 ABNR Bldg, Columbia, MO 65201, United States - Source
Environmental modelling & software. 2014, Vol 62, pp 230-239, 10 p ; ref : 1 p.1/4
- ISSN
- 1364-8152
- Scientific domain
- Ecology; Environment; Computer science; Pollution
- Publisher
- Elsevier, Oxford
- Publication country
- United Kingdom
- Document type
- Article
- Language
- English
- Author keyword
- LANDIS PRO Oak forests Prediction Stand density management diagrams (SDMDs) U.S. Forest Service Inventory and Analysis (FIA) data Validation
- Keyword (fr)
- Analyse Densité peuplement Diagramme Forêt Inventaire forestier Modèle Paysage
- Keyword (en)
- Analysis Stand density Diagram Forests Forest inventory Models Landscape
- Keyword (es)
- Análisis Densidad asentamiento Diagrama Bosque Inventario forestal Modelo Paisaje
- 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...)
- Pascal
- 002 Biological and medical sciences / 002A Fundamental and applied biological sciences. Psychology / 002A33 Forestry / 002A33A Generalities. Production, biomass. Quality of wood and forest products. General forest ecology / 002A33A02 General forest ecology
- Discipline
- Animal, vegetal and microbial ecology Silviculture
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 29037083
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.envsoft.2014.09.003 
https://dx.doi.org/10.1016/j.envsoft.2014.09.003
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