caa a22 4500 445857005 CHVBK 20180317145431.0 cr unu---uuuuu 170323e20110201xx s 000 0 eng 10.1007/s10592-010-0134-4 doi (NATIONALLICENCE)springer-10.1007/s10592-010-0134-4 Micro-spatial genetic structure in song sparrows ( Melospiza melodia ) [Elektronische Daten] [Amy Wilson, Peter Arcese, Yvonne Chan, Michael Patten] The spatial genetic structure of populations is strongly influenced by current and historical patterns of gene flow and drift, which in the simplest case, is limited by geographic distance. We examined the microspatial genetic structure within 33 populations of song sparrows (Melospiza melodia) which included eight subspecies located across coastal areas in southern British Columbia (BC) and California. We also examined the effect of water barriers and local density estimates on genetic structuring. Across both regions, positive genetic structure was detectable at distances of less than 10km. Genetic divergence was highest in Californian subspecies, perhaps due to reduced gene flow across sub-specific contact zones. In BC, populations distributed across islands displayed greater genetic structuring over similar spatial scales than those across mainland sites, supporting the prediction that water barriers reduce gene flow in this species. Our results confirm both the expectation for fine-scale genetic structure in these generally sedentary subspecies, and the role of landscape features in generating geographic variation in genetic structure. Springer Science+Business Media B.V., 2010 Spatial autocorrelation nationallicence Genetic structure nationallicence Isolation by distance nationallicence Islands nationallicence Wilson Amy Center for Applied Conservation Research, University of British Columbia, 2424 Main Mall, V6T 1Z4, Vancouver, BC, Canada aut Arcese Peter Center for Applied Conservation Research, University of British Columbia, 2424 Main Mall, V6T 1Z4, Vancouver, BC, Canada aut Chan Yvonne Department of Biological Sciences, Stanford University, 94305, Stanford, CA, USA aut Patten Michael Oklahoma Biological Survey, University of Oklahoma, 73019, Norman, OK, USA aut Conservation Genetics Springer Netherlands 12/1(2011-02-01), 213-222 1566-0621 12:1<213 2011 12 10592 https://doi.org/10.1007/s10592-010-0134-4 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10592-010-0134-4 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Wilson Amy Center for Applied Conservation Research, University of British Columbia, 2424 Main Mall, V6T 1Z4, Vancouver, BC, Canada aut NATIONALLICENCE 700 1- Arcese Peter Center for Applied Conservation Research, University of British Columbia, 2424 Main Mall, V6T 1Z4, Vancouver, BC, Canada aut NATIONALLICENCE 700 1- Chan Yvonne Department of Biological Sciences, Stanford University, 94305, Stanford, CA, USA aut NATIONALLICENCE 700 1- Patten Michael Oklahoma Biological Survey, University of Oklahoma, 73019, Norman, OK, USA aut NATIONALLICENCE 773 0- Conservation Genetics Springer Netherlands 12/1(2011-02-01), 213-222 1566-0621 12:1<213 2011 12 10592 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer