Hierarchical bayesian spatial models for multispecies conservation planning and monitoring

Conservation Biology

Volumn 24, Issue 6, 2010, Pages 1538-1548

  Carroll, Carlos ^a   Johnson, Devin S ^b   Dunk, Jeffrey R ^c,d   Zielinski, William J ^d  

^a Klamath Center for Conservation Research   (United States)

^b NOAA EARTH SYSTEM RESEARCH LABORATORY   (United States)

^c HUMBOLDT STATE UNIVERSITY   (United States)

^d PACIFIC SOUTHWEST RESEARCH STATION   (United States)

Author keywords

Conditional autoregressive; Focal species; Hierarchical Bayesian model; Martes pennanti; Northwest Forest Plan; Spatial autocorrelation; Spatial autoregressive model; Spatial dependence; Species distribution model

Indexed keywords

ALGORITHM; BAYESIAN ANALYSIS; BIOGEOGRAPHY; CONSERVATION PLANNING; DISPERSAL; FOREST INVENTORY; GEOGRAPHICAL DISTRIBUTION; HABITAT CONSERVATION; MARKOV CHAIN; MONITORING; MONTE CARLO ANALYSIS; MUSTELID; RODENT; SNAIL; SPATIAL ANALYSIS; SPECIES CONSERVATION; SPECIES OCCURRENCE;

ANIMAL; ARTICLE; ARVICOLINAE; BAYES THEOREM; ENVIRONMENTAL PROTECTION; METHODOLOGY; MUSTELIDAE; POPULATION DYNAMICS; SNAIL; THEORETICAL MODEL;

ANIMALS; ARVICOLINAE; BAYES THEOREM; CONSERVATION OF NATURAL RESOURCES; MODELS, THEORETICAL; MUSTELIDAE; POPULATION DYNAMICS; SNAILS;

ARBORIMUS LONGICAUDUS; GASTROPODA; INVERTEBRATA; MARTES PENNANTI; MONADENIA CHURCHI; VERTEBRATA;

EID: 78349289571     PISSN: 08888892     EISSN: 15231739     Source Type: Journal    
DOI: 10.1111/j.1523-1739.2010.01528.x     Document Type: Article

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