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基于GIS及Fragstats的江川区景观格局研究
引用本文:劳荣,龚川南,张如松.基于GIS及Fragstats的江川区景观格局研究[J].林业调查规划,2020,45(4):14-17.
作者姓名:劳荣  龚川南  张如松
作者单位:云南省林业调查规划院昆明分院,云南 昆明 650200
摘    要:利用ArcgIs及Fragstats软件,从景观类型组成、多样性、优势类型、破碎度及离散度、形状等方面对江川区景观格局进行分析。结果表明:江川区景观格局以林业为主,景观类型间的聚合程度较高,属于多种要素的密集景观格局,农业景观、针叶林景观面积占比最大,景观生态系统抗风险能力较低,林业景观中竹林破碎度高、针叶林破碎度低,林业景观中阔叶林形状最不规则,非林地景观中农业景观最不规则。提出加大实施退耕还林、湖泊治理保护工程,在未来土地利用规划中,应注重以生态保护核心区为约束条件、优化土地利用空间格局,限制星云湖周边建筑开发强度,适当增加阔叶林人工种植比例等景观优化对策。

关 键 词:景观格局  林业景观  斑块  优化对策  江川区

Landscape Pattern of Jiangchuan District Based on GIS and Fragstats
LAO Rong,GONG Chuannan,ZHANG Rusong.Landscape Pattern of Jiangchuan District Based on GIS and Fragstats[J].Forest Inventory and Planning,2020,45(4):14-17.
Authors:LAO Rong  GONG Chuannan  ZHANG Rusong
Institution:(Kunming Branch,Yunnan Institute of Forest Inventory and Planning,Kunming 650200,China)
Abstract:The landscape pattern of Jiangchuan District was analyzed from the aspects of composition,diversity,dominant type,fragmentation,dispersion and shape,by using ArcGIS and Fragstats software.The results showed that the landscape pattern of Jiangchuan district with high degree of aggregation was dominated by forestry,which belonged to the landscape pattern with dense distribution of various elements.The proportion of agricultural landscape and coniferous forest landscape was the largest,and the ability of ecosystem to resist risks was low.The fragmentation of bamboo forest was high while the fragmentation of coniferous forest was low,and the shape of broadleaved forest was the most irregular in forest landscape while the agricultural landscape was the most irregular in non forest landscape.This paper suggested to implement the projects of Grain for Green and lake management and protection,pay attention to the constraints of ecological conservation core area,optimize the spatial pattern of land use,restrict the building around Xingyun Lake,and appropriately increase the proportion of broadleaved plantation in the future land use planning.
Keywords:landscape pattern  forestry landscape  patch  optimization strategy  Jiangchuan District
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