Mapping regional forest management units:a road-based framework in Southeastern Coastal Plain and Piedmont
Mapping regional forest management units: a road-based framework in Southeastern Coastal Plain and Piedmont作者机构:Wyoming Geographic Information Science CenterUniversity of Wyoming1000E.University AveLaramieWyoming 82071USA Department of GeographyUniversity of Florida330 Newell DrGainesvilleFlorida 32611USA
出 版 物:《Forest Ecosystems》 (森林生态系统(英文版))
年 卷 期:2021年第8卷第2期
页 面:223-239页
核心收录:
学科分类:09[农学] 0903[农学-农业资源与环境]
主 题:Forest management unit Warren's index Neutral landscape OpenStreetMap Road ecology
摘 要:Management practices are one of the most important factors affecting forest structure and *** in southern United States manage forests using appropriately sized areas,to meet management objectives that include economic return,sustainability,and esthetic *** networks spatially designate the socioenvironmental elements for the forests,which represented and aggregated as forest management *** networks are widely used for managing forests by setting logging roads and *** propose that common types of forest management are practiced in road-delineated units that can be determined by remote sensing satellite imagery coupled with crowd-sourced road network *** sensors do not always capture roadcaused canopy openings,so it is difficult to delineate ecologically relevant units based only on satellite *** integrating citizen-based road networks with the National Land Cover Database,we mapped road-delineated management units across the regional landscape and analyzed the size frequency distribution of management *** found the road-delineated units smaller than 0.5 ha comprised 64%of the number of units,but only0.98%of the total forest *** also applied a statistical similarity test(Warren s Index)to access the equivalency of road-delineated units with forest disturbances by simulating a serious of neutral *** outputs showed that the whole southeastern *** the probability of road-delineated unit of 0.44 and production forests overlapped significantly with disturbance areas with an average probability of 0.50.