作者: Jan Christian Habel , Frank E. Zachos , Leonardo Dapporto , Dennis Rödder , Ute Radespiel
DOI: 10.1111/BIJ.12481
关键词: Biological data 、 Population size 、 Genetic variability 、 Population 、 Genetic drift 、 Ecology 、 Effective population size 、 Natural selection 、 Biology 、 Population genetics 、 Data science
摘要: Population genetic research has transformed from the study of structures into a much wider and highly multidisciplinary field. In this contribution, we outline limitations classic population data highlight potential combining molecular with additional environmental, ecological biological sets in approaches. The combination various fields allows more comprehensive understanding extrinsic intrinsic evolutionary processes affecting populations such as distinction between drift natural selection. integration size estimates demographic dynamics well individual behaviour (embracing aspects like dispersal behaviour) for testing adaptations to local environments time-lags frequently observed data. Modelling approaches are integrated at increasing rates identify barriers corridors. our review, therefore multiple synergistic effects when morphological, ecological, behavioural modelling. We strengths indicate future possibilities challenges. © 2015 Linnean Society London, Biological Journal Society, 2015, 115, 1–12.