作者: DAVID C. PAVLACKY JR , ANNE W. GOLDIZEN , PETER J. PRENTIS , JAMES A. NICHOLLS , ANDREW J. LOWE
DOI: 10.1111/J.1365-294X.2009.04226.X
关键词:
摘要: Landscape genetics is an important framework for investigating the influence of spatial pattern on ecological process. Nevertheless, standard analytic frameworks in landscape have difficulty evaluating hypotheses about processes dynamic landscapes. We use a predictive hypothesis-driven approach to quantify relative contribution historic and contemporary genetic connectivity. By confronting data with models landscapes, we identify dispersal operating naturally heterogeneous human-altered systems. demonstrate using case study microsatellite polymorphism indirect estimates gene flow rainforest bird, logrunner (Orthonyx temminckii). Of particular interest was how much information attributable occurring reconstructed human-modified landscape. A linear mixed model used estimate appropriate sampling variance from nonindependent information-theoretic selection provided strength evidence alternative hypotheses. The explained slightly more differentiation than landscape, there considerable temporal shift pattern. In contrast, migration rates estimated genealogical were primarily influenced by change. discovered that heterogeneity facilitated before European settlement, but deforestation rapidly becoming most barrier dispersal.