Prediction of genetic connectivity in urban ecosystems by combining detailed movement data, genetic data and multi-path modelling

Landscape and Urban Planning

Volumn 160, Issue , 2017, Pages 107-114

  Braaker, S ^a   Kormann, U ^a,b   Bontadina, F ^a,c   Obrist, M K ^a  

^a SWISS FEDERAL RESEARCH INSTITUTE WSL   (Switzerland)

^b OREGON STATE UNIVERSITY   (United States)

^c Wk Grp Urban Ecol and Wildl Res   (Switzerland)

Author keywords

CIRCUITSCAPE; Erinaceus europaeus; Genetic; GPS tracking; Habitat connectivity; Landscape genetics; Least cost analysis

Indexed keywords

BAYESIAN NETWORKS; FORECASTING; FORESTRY; GENES; MAMMALS;

CIRCUITSCAPE; ERINACEUS EUROPAEUS; GENETIC; GPS TRACKING; HABITAT CONNECTIVITY; LANDSCAPE GENETICS; LEAST-COST ANALYSIS;

ECOSYSTEMS;

ANTHROPOGENIC EFFECT; CONNECTIVITY; CONSERVATION STATUS; DATA ACQUISITION; GENE FLOW; GENETIC ANALYSIS; GENETIC MARKER; GENETIC STRUCTURE; GPS; LAND COVER; REGRESSION ANALYSIS; SMALL MAMMAL; SPATIAL DISTRIBUTION; URBAN AREA; URBAN ECOSYSTEM;

ERINACEIDAE; ERINACEUS EUROPAEUS; MAMMALIA;

EID: 85008895098     PISSN: 01692046     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.landurbplan.2016.12.011     Document Type: Article

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