Modelling with uncertainty: Introducing a probabilistic framework to predict animal population dynamics

Ecological Modelling

Volumn 220, Issue 9-10, 2009, Pages 1203-1217

  Holland, E P ^a,b   Burrow, J F ^a   Dytham, C ^a,c   Aegerter, J N ^b  

^a UNIVERSITY OF YORK   (United Kingdom)

^b CENTRAL SCIENCE LABORATORY   (United Kingdom)

^c UNIVERSITY OF POTSDAM   (Germany)

Author keywords

Decision making; Population modelling; Sparse data; Uncertainty; Wild boar (Sus scrofa)

Indexed keywords

ENVIRONMENTAL CHANGES; EXPLICIT TREATMENTS; FIELD DATUM; FOOD AVAILABILITIES; GEOGRAPHIC REGIONS; HIERARCHICAL PROCESS; KULLBACK-LEIBLER DISTANCES; META-ANALYSIS; NON NATIVES; POLICY MAKERS; POPULATION GROWTHS; POPULATION MODELLING; POPULATION MODELS; PROBABILISTIC FRAMEWORKS; REPRODUCTIVE SUCCESS; SPARSE DATA; UNCERTAINTY; UNCERTAINTY AND VARIABILITIES; WILD BOAR (SUS SCROFA);

CLIMATE CHANGE; DECISION MAKING; DYNAMICS; FORESTRY; LAND USE; MANAGERS;

POPULATION STATISTICS;

ABUNDANCE; ENVIRONMENTAL CHANGE; GEOGRAPHICAL REGION; HIERARCHICAL SYSTEM; ISOLATED POPULATION; MODELING; PIG; POPULATION DYNAMICS; PROBABILITY; UNCERTAINTY ANALYSIS;

EURASIA; EUROPE; UNITED KINGDOM; WESTERN EUROPE;

ANIMALIA; SUIDAE; SUS SCROFA;

EID: 63649127156     PISSN: 03043800     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecolmodel.2009.02.013     Document Type: Article

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