Integrating field and satellite data for spatially explicit inference on the density of threatened arboreal primates:

Ecological Applications

Volumn 27, Issue 1, 2017, Pages 235-243

  Cavada, Nathalie ^a,b   Ciolli, Marco ^a   Rocchini, Duccio ^c   Barelli, Claudia ^b   Marshall, Andrew R ^d,e   Rovero, Francesco ^b,f  

^a UNIVERSITY OF TRENTO   (Italy)

^b Museo Delle Scienze   (Italy)

^c RESEARCH AND INNOVATION CENTRE   (Italy)

^d UNIVERSITY OF YORK   (United Kingdom)

^e Flamingo Land Ltd   (United Kingdom)

^f Udzungwa Mountains National Park   (Tanzania)

Author keywords

abundance; basal area; GIS; Landsat; primates; remote sensing; spatially explicit models; tropical forest; Udzungwa

Indexed keywords

ABUNDANCE ESTIMATION; ACCURACY ASSESSMENT; ANTHROPOGENIC EFFECT; ARBOREAL SPECIES; BASAL AREA; CONSERVATION MANAGEMENT; CONSERVATION PLANNING; ENDANGERED SPECIES; GIS; GROUND-BASED MEASUREMENT; INTEGRATED APPROACH; LANDSAT; POPULATION DENSITY; PRIMATE; REMOTE SENSING; SATELLITE DATA; SATELLITE IMAGERY; TROPICAL ENVIRONMENT; TROPICAL FOREST;

TANZANIA; UDZUNGWA MOUNTAINS NATIONAL PARK;

ANIMALIA; COLOBUS SP.; MAMMALIA; PRIMATES;

ANIMAL; BIOLOGICAL MODEL; COLOBUS; ECOSYSTEM; ENDANGERED SPECIES; ENVIRONMENTAL PROTECTION; PHYSIOLOGY; POPULATION DENSITY; PRIMATE; TANZANIA; TREE;

ANIMALS; COLOBUS; CONSERVATION OF NATURAL RESOURCES; ECOSYSTEM; ENDANGERED SPECIES; MODELS, BIOLOGICAL; POPULATION DENSITY; PRIMATES; TANZANIA; TREES;

EID: 85008311724     PISSN: None     EISSN: 19395582     Source Type: Journal    
DOI: 10.1002/eap.1438     Document Type: Article

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