Remote sensing-based predictors improve distribution models of rare, early successional and broadleaf tree species in Utah

Journal of Applied Ecology

Volumn 44, Issue 5, 2007, Pages 1057-1067

  Zimmermann, N E ^a   Edwards Jr , T C ^b   Moisen, G G ^c   Frescino, T S ^c   Blackard, J A ^c  

^a SWISS FEDERAL RESEARCH INSTITUTE WSL   (Switzerland)

^b UTAH STATE UNIVERSITY   (United States)

^c ROCKY MOUNTAIN RESEARCH STATION   (United States)

Author keywords

Core satellite species hypothesis; K fold cross validation; Landsat TM; Partial regression; Predictive habitat distribution models; Species traits; Variation partitioning

Indexed keywords

LANDSAT THEMATIC MAPPER; PREDICTION; RARITY; REMOTE SENSING; SPATIAL DISTRIBUTION; SUCCESSION; TREE;

NORTH AMERICA; UNITED STATES; UTAH;

EID: 34548421188     PISSN: 00218901     EISSN: 13652664     Source Type: Journal    
DOI: 10.1111/j.1365-2664.2007.01348.x     Document Type: Article

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