Mapping functional connectivity

被引：226

作者：

Vogt, Peter ^{[1
]}

Ferrari, Joseph R. ^{[2
]}

Lookingbill, Todd R. ^{[2
]}

Gardner, Robert H. ^{[2
]}

Riitters, Kurt H. ^{[3
]}

Ostapowicz, Katarzyna ^{[1
,4
]}

机构：

[1] Joint Res Ctr European Commiss, IES, Land Management & Nat Hazards Unit, I-21027 Ispra, VA, Italy

[2] Univ Maryland, Ctr Environm Sci, Appalachian Lab, Frostburg, MD 21532 USA

[3] US Forest Serv, So Res Stn, Res Triangle Pk, NC 27709 USA

[4] Jagiellonian Univ, Inst Geog & Spatial Management, PL-30387 Krakow, Poland

来源：

ECOLOGICAL INDICATORS | 2009年 / 9卷 / 01期

基金：

美国农业部;

关键词：

functional connectivity; stepping stones; corridors; spatial pattern; morphological image processing; CORRIDORS; DISPERSAL; MOVEMENT; CONSERVATION; PATTERNS;

D O I：

10.1016/j.ecolind.2008.01.011

中图分类号：

X176 [生物多样性保护];

学科分类号：

090705 ;

摘要：

An objective and reliable assessment of wildlife movement is important in theoretical and applied ecology. The identification and mapping of landscape elements that may enhance functional connectivity is usually a subjective process based on visual interpretations of species movement patterns. New methods based on mathematical morphology provide a generic, flexible, and automated approach for the definition of indicators based on the classification and mapping of spatial patterns of connectivity from observed or simulated movement and dispersal events. The approach is illustrated with data derived from simulated movement on a map produced from satellite imagery of a structurally complex, multi-habitat landscape. The analysis reveals critical areas that facilitate the movement of dispersers among habitat patches. Mathematical morphology can be applied to any movement map providing new insights into pattern-process linkages in multi-habitat landscapes. (C) 2008 Elsevier Ltd. All rights reserved.

引用

页码：64 / 71

页数：8

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