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

详细信息    查看全文

• 作者：S. Braaker^a ; ^{sbraaker@gmx.net} ; U. Kormann^a ; ^b ; F. Bontadina^a ; ^c ; ¹ ; M.K. Obrist^a ; ¹
• 关键词：Habitat connectivity ; Landscape genetics ; Erinaceus europaeus ; Least-cost analysis ; CIRCUITSCAPE ; GPS tracking ; Genetic
• 刊名：Landscape and Urban Planning
• 出版年：2017
• 出版时间：April 2017
• 年：2017
• 卷：160
• 期：Complete
• 页码：107-114
• 全文大小：1301 K
• 卷排序：160

文摘

A priori models based on GPS tracking best explain genetic connectivity. Distinct genetic clusters of hedgehogs within the city coincide with the rivers and main highways. Small scale landscape elements influencing gene flow are identified. Circuit theory models outperform least-cost connectivity models in the investigated complex urban habitat.