title: Characterizing forest fragments in boreal, temperate, and tropical ecosystems.
abstract: An increased ability to analyze landscapes in a spatial manner through the use of remote sensing leads to improved capabilities for quantifying human-induced forest fragmentation. Developments of spatially explicit methods in landscape analyses are emerging. In this paper, the image delineation software program eCognition and the spatial pattern analysis program FRAGSTATS were used to quantify patterns of forest fragments on six landscapes across three different climatic regions characterized by different moisture regimes and different influences of human pressure. Our results support the idea that landscapes with higher road and population density are more fragmented; however, there are other, equally influential factors contributing to fragmentation, such as moisture regime, historic land use, and fire dynamics. Our method provided an objective means to characterize landscapes and assess patterns of forest fragments across different forested ecosystems by addressing the limitations of pixel-based classification and incorporating image objects.
authors.affiliation: Department of Geography, University of Idaho, Moscow, ID 83844-3021, USA. arjan.meddens@vandals.uidaho.edu
authors.forename: Arjan J H
authors.initials: AJ
authors.lastname: Meddens
authors.forename: Andrew T
authors.initials: AT
authors.lastname: Hudak
authors.forename: Jeffrey S
authors.initials: JS
authors.lastname: Evans
authors.forename: William A
authors.initials: WA
authors.lastname: Gould
authors.forename: Grizelle
authors.initials: G
authors.lastname: González
mesh_terms: D017691:Caribbean Region; D017753:Ecosystem; D040362:Geographic Information Systems; D005843:Geography; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008954:Models, Biological; D009656:North America; D011156:Population Density; D017215:Satellite Communications; D014197:Trees; D014329:Tropical Climate