Habitat assessment for forest dwelling species using LiDAR remote sensing: Capercaillie in the Alps

Forest Ecology and Management

Volumn 257, Issue 1, 2009, Pages 160-167

  Graf, Roland F ^a,b   Mathys, Lukas ^c,d   Bollmann, Kurt ^c  

^a ZURICH UNIVERSITY OF APPLIED SCIENCES   (Switzerland)

^b HELMHOLTZ CENTRE FOR ENVIRONMENTAL RESEARCH UFZ   (Germany)

^c SWISS FEDERAL RESEARCH INSTITUTE WSL   (Switzerland)

^d Sigmaplan AG   (Switzerland)

Author keywords

Capercaillie; Conservation; Forest structure; Habitat suitability model; Logistic regression; Remote sensing; Switzerland; Tetrao urogallus

Indexed keywords

CONSERVATION; FORESTRY; MANAGEMENT; OCEAN HABITATS; OPTICAL RADAR; PLANNING; POPULATION STATISTICS; REMOTE SENSING; SENSORS; SPACE OPTICS;

CAPERCAILLIE; FOREST STRUCTURE; HABITAT SUITABILITY MODEL; LOGISTIC REGRESSION; SWITZERLAND; TETRAO UROGALLUS;

ECOLOGY;

ALPINE ENVIRONMENT; ENVIRONMENTAL ASSESSMENT; HABITAT QUALITY; HABITAT SELECTION; LIDAR; LOGISTICS; NATURE CONSERVATION; REMOTE SENSING; VEGETATION STRUCTURE;

BIOLOGICAL POPULATIONS; CONSERVATION; ECOLOGY; FORESTRY; MANAGEMENT; OPTICS; RADAR; REGRESSION ANALYSIS; REMOTE SENSING; SENSORS; SPECIES IDENTIFICATION;

ALPS; EURASIA; EUROPE;

TETRAO UROGALLUS; TETRAONIDAE;

EID: 56449102943     PISSN: 03781127     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.foreco.2008.08.021     Document Type: Article

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