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作 者:陈胜兰 毛旭鹏 臧颢[3] CHEN Shenglan;MAO Xupeng;ZANG Hao(Central South Inventory and Planning Institute of Nationa l Forestry and Grassland Administration,Changsha 410014,Hu′nan,China;Jiangxi Forestry Resources Monitori ng Center,Nanchang 330046,Jiangxi,China;College of Forestry,Jiangxi Agricultural University,Nanchang 330045,Jiangxi,China)
机构地区:[1]国家林业和草原局中南调查规划院,湖南长沙410014 [2]江西省林业资源监测中心,江西南昌330046 [3]江西农业大学林学院,江西南昌330045
出 处:《福建林业科技》2022年第3期98-105,共8页Journal of Fujian Forestry Science and Technology
基 金:国家自然科学基金项目(31800539、31960313)。
摘 要:于2019年,以江西兴国县为例,首先采用森林破碎化模型划分森林破碎化类型,其次利用森林连续性模型衡量森林破碎化,然后利用普通最小二乘法筛选森林破碎化的主要影响因素,最后利用地理加权回归模型探索其空间分异特征。结果表明:①孔洞森林面积>内部森林面积>边缘森林面积>过渡森林面积>斑块森林面积>未确定森林面积;②整体森林破碎化程度较高,距离县城较远偏远乡镇的森林破碎化程度较低;③森林破碎化主要影响因素为平均海拔、平均坡度和距村庄平均距离,并呈现显著的空间非平稳性。道路(铁路、高速公路、国道及省道)、主要水系及森林公园对森林破碎化的影响不显著。研究结果可为兴国县森林资源监测、保护与修复提供参考。Taking Xingguo County,Jiangxi Province as an example in 2019,firstly,forest fragmentation model was used to classify forest fragmentation types.Secondly,forest fragmentation was measured by forest continuity model.Then the ordinary least squares(OLS)was used to screen the main influencing factors of forest fragmentation.Finally,the geographically weighted regression(GWR)model was used to explore the characteristics of spatial differentiation.The results showed that:①Perforated Forest area>Interior Forest area>Edge Forest area>Transitional Forest area>Patch Forest area>Undetermined Forest area;②The overall forest fragmentation was high,and the areas with low forest fragmentation were mainly distributed in the remote villages and towns far from the county seat.③The main influencing factors of forest fragmentation were average altitude,average slope and average distance from village,and the effects showed significant spatial nonstationary.In addition,forest fragmentation did not significant influenced by roads(railway,expressway,national road,and provincial road),main water system and forest parks.The research results can provide reference for the monitoring,protection and restoration of forest resources in Xingguo County.
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