基于GIS的云南省森林生态连清体系野外观测网络布局

doi:10.13292/j.1000-4890.202208.009

生态学杂志 ›› 2022, Vol. 41 ›› Issue (8): 1457-1465.doi: 10.13292/j.1000-4890.202208.009

基于GIS的云南省森林生态连清体系野外观测网络布局

郭珂^1,2,3,4,牛香^2,3,4,王兵^1,2,3,4*,孟广涛⁵,宋庆丰^2,3,4

（¹北京林业大学信息学院，北京 100083； ²中国林业科学研究院森林生态环境与自然保护研究所，北京 100091； ³国家林业和草原局森林生态环境重点实验室，北京 100091； ⁴江西大岗山森林生态系统国家野外科学观测研究站，江西新余 336600； ⁵云南省林业与草原科学研究院，昆明 650000)

出版日期:2022-08-10 发布日期:2022-08-12

A GIS-based study on the layout of field observation network of forest ecological inventory system in Yunnan Province, China.

GUO Ke^1,2,3,4, NIU Xiang^2,3,4, WANG Bing^1,2,3,4*, MENG Guang-tao⁵, SONG Qing-feng^2,3,4#br#

#br#

(¹School of Information Science & Technology, Beijing Forestry University, Beijing 100083, China; ² Institute of Forest Ecology, Environment and Nature Conservation, Chinese Academy of Forestry, Beijing 100091, China; ³Key Laboratory of Forest Ecology and Environment of National Forestry and Grassland Administration, Beijing 100091, China; ⁴Dagangshan National Key Field Observation and Research Station for Forest Ecosystem, Xinyu 336600, Jiangxi, China; ⁵Yunnan Academy of Forestry and Grassland Science, Kunming 650000, China).

Online:2022-08-10 Published:2022-08-12

摘要/Abstract

摘要： 森林生态连清体系野外观测网络的建设可为森林生态过程研究、服务功能评估及价值化实现提供数据支持，促进提升森林生态系统质量和碳中和能力。本研究根据影响森林生态功能的驱动因素构建指标体系（温度、水分、植被类型、地形和生态功能区），采用GIS空间分析技术生成森林生态区划，并结合森林生态站布局思路，构建了云南省森林生态连清体系野外观测网络，从森林、重点生态功能区、生物多样性保护优先区层面评价了网络布局的监测精度。结果表明：云南省森林生态区划包括22个不同的森林生态区；共布设31个森林生态站（6个重点站、11个基本站、14个监测站），其中包括22个拟建站和9个已建站；该网络在森林、重点生态功能区、生物多样性保护优先区层面的监测精度分别为94.29%、94.76%和87.99%，且25个森林生态站分布与云南省3个重点生态功能区和2个生物多样性保护优先区相匹配。该网络可以实现云南省森林生态系统要素的连续观测与清查，为森林生态服务功能和生态效益评估提供数据支持，并为重大林业生态工程和国际履约提供辅助决策依据。

关键词: 森林生态区划, GIS, 空间分析, 网络布局, 监测精度评价

Abstract: The construction of a field observation network for forest ecological inventory system (FON-FEIS) can provide data support for the research of forest ecological processes, the assessment of ecological functions and the delivery of ecological values, thus promoting the improvement of forest ecosystem quality and its carbon neutral capacity. Currently, the lack of longterm, standardized ecological data is one of the major constraints on the effective assessment of ecological benefits and the implementation of ecological restoration projects. It is therefore critically needed to develop a FONFEIS for Yunnan Province, China. Firstly, an index system, involving temperature, water, vegetation type, terrain, and functional ecological zone, was constructed based on the factors driving forest ecosystem functions. Then, GIS spatial analysis technology was used to identify forest ecological zones. Finally, the FONFEIS in Yunnan Province was constructed in combination with the layout idea of forest ecological stations, while the monitoring accuracy of the network layout was evaluated from the perspectives of forests, key ecological function zones, and priority zones for biodiversity conservation. The results showed that the optimal FONFEIS was achieved when Yunnan Province was divided into 22 forest ecological regions and 31 forest ecological stations were deployed, including 6 key stations, 11 basic stations, and 14 monitoring stations. Currently, 22 stations are under planning and 9 stations were established. Within this network, the accuracy of monitoring reached as high as 94.29%, 94.76% and 87.99% on the levels of forest, key ecological function area, and biodiversity conservation priority area, respectively. The distribution of 25 forest ecological stations matched that of the three key ecological function areas and two biodiversity conservation priority areas in Yunnan Province. In conclusion, this network enables the effective, continuous observation and inventory of forest ecosystems in Yunnan Province, which provides not only the requisite data for the assessment of forest ecological function and ecological benefits, but also the important information to assist decision making for major ecological projects and international fulfillment.

Key words: forest ecological zoning, GIS, spatial analysis, network layout, monitoring accuracy evaluation.

郭珂, 牛香, 王兵, 孟广涛, 宋庆丰. 基于GIS的云南省森林生态连清体系野外观测网络布局[J]. 生态学杂志, 2022, 41(8): 1457-1465.

GUO Ke, NIU Xiang, WANG Bing, MENG Guang-tao, SONG Qing-feng. A GIS-based study on the layout of field observation network of forest ecological inventory system in Yunnan Province, China.[J]. Chinese Journal of Ecology, 2022, 41(8): 1457-1465.

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基于GIS的云南省森林生态连清体系野外观测网络布局

A GIS-based study on the layout of field observation network of forest ecological inventory system in Yunnan Province, China.

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