Using resistance distance from circuit theory to model dispersal through habitat corridors

作     者：Jan Thiele Sascha Buchholz Jens Schirmel 

作者机构：Institute of Landscape EcologyUniversity of MünsterHeisenbergstr.2Münster 48149Germany Department of EcologyTU BerlinRothenburgstr.12Berlin 12165Germany Berlin-Brandenburg Institute of Advanced Biodiversity Research(BBIB)Altensteinstr.34Berlin 14195Germany Institute of Environmental SciencesUniversity Koblenz-LandauFortstr.7Landau 76829Germany 

出 版 物：《Journal of Plant Ecology》 (植物生态学报（英文版）)

年 卷 期：2018年第11卷第3期

页      面：385-393页

核心收录：

学科分类：07[理学] 0701[理学-数学] 070101[理学-基础数学] 

主　　题：connectivity floristic similarity isolation landscape migration least-cost distance 

摘      要：Aims Resistance distance(RD),based on circuit theory,is a promising metric for modelling effects of landscape configuration on dispersal of organ-isms and the resulting population and community *** values of RD reflect the likelihood of a random walker to reach from a source to a certain destination in the *** it has successfully been used to model genetic structures of animal populations,where it most often outperforms other isolation metrics,there are hardly any applications to plants and,in particular,to plant community *** aims were to test if RD was a suitable metric for studying dispersal processes of plants in narrow habitat corridors(linear landscape ele-ments[LLE]).This would be the case,if dispersal processes(seed dis-persal and migration)resembled random ***,we compared the model performance of RD against least-cost distance(LCD)and Euclidean distance(ED).Finally,we tested the suitability of different cost surfaces for calculations of LCD and *** We used data from 50 vegetation plots located on semi-natural LLE(field margins,ditches,road verges)in eight agricultural landscapes of Northwest *** mapped LLE,including hedges and tree rows,from aerial images in a Geographic Information System,con-verted the maps into raster layers,and assigned resistance values to the raster cells,where all cells outside of LLE received infinite resist-ance and,thus,represented barriers to *** all pairs of plots within study areas,we calculated Jaccard similarity assuming that it was a proxy(or correlate)of dispersal events between ***,we calculated RD and LCD of the network of LLE and ED between the *** modelled the effects of distance metrics on community similarity using binomial generalized linear mixed *** Findings ED was clearly the least suitable isolation ***,we found that RD performed better than LCD at modelling Jaccard *** varied markedly betwee