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中国陆地生态系统分类识别及其近20年的时空变化
引用本文:刘亚群,吕昌河,傅伯杰,于伯华.中国陆地生态系统分类识别及其近20年的时空变化[J].生态学报,2021,41(10):3975-3987.
作者姓名:刘亚群  吕昌河  傅伯杰  于伯华
作者单位:中国科学院地理科学与资源研究所, 陆地表层格局与模拟重点实验室, 北京 100101;中国科学院大学, 资源与环境学院, 北京 100190;中国科学院生态环境研究中心, 城市与区域生态国家重点实验室, 北京 100085;北京师范大学地理科学学部, 地表过程与资源生态国家重点实验室, 北京 100875
基金项目:国家重点研发计划项目(2017YFA0604701)
摘    要:生态系统分类制图是理解生态系统时空格局和支撑生态系统分类管理的基础。研究以反映生态系统主导服务功能和人类干预强度为主线,构建了包括9个一级和25个二级类的生态系统分类体系,集成土地利用、气候、地形、植被、土壤、居民点分布等多源数据,开展了2000和2020年中国陆地生态系统的分类制图,并对其类型、结构、格局及时空变化特征进行了分析。结果表明:近20年,我国城镇生态系统扩张1.1倍,64.51%来自耕种生态系统。耕种生态系统缩减0.88万km2,其中水田和旱田分别减少0.60万km2和2.09万km2,但绿洲扩张1.81万km2。受退耕还林还草影响,农牧和农林混合生态系统分别减少2.88万km2和0.92万km2,林地生态系统增加1.61万km2。水域湿地生态系统增加0.31万km2,70%源自沼泽生态系统的扩张,尤其是青藏高原水域湿地,受气候变暖影响扩张明显。气候暖湿化促使部分干旱荒漠和冰冻寒漠生态系统的盖度增加,使牧草地生态系统增加9.97万km2,而干旱荒漠和冰冻寒漠生态系统分别减少14.98万km2和0.92万km2。我国生态系统变化导致整体景观的连接性下降、破碎度增加、类型多样性增加,斑块间生态过程的阻碍增强。我国生态状况明显改善,92.06%的区域NDVI增加,平均NDVI增幅为0.74%/a,其中农牧和农林混合生态系统NDVI增幅最显著,分别为1.26%/a和0.85%/a。该分类方案与制图结果突出了生态系统结构、生态环境风险和生产力的差异,可为宏观尺度的生态系统管理提供科学支撑。

关 键 词:陆地生态系统分类  人类活动  聚类分析  时空格局  NDVI变化趋势
收稿时间:2021/4/13 0:00:00
修稿时间:2021/5/6 0:00:00

Terrestrial ecosystem classification and its spatiotemporal changes in China during last 20 years
Institution:Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100190, China;State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China;State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
Abstract:Ecosystem classification is fundamental for its identification of spatiotemporal changes and type-oriented management. Based on the dominant service function and human intervention intensity, this study developed an ecosystem classification system comprising 9 first-level and 25 second-level categories, identified their spatial distribution, and further analyzed the spatiotemporal changes between 2000 and 2020, by integrating multi-source data of land use, climate, topography, vegetation, soil, and settlement distribution. The results showed that urban/township ecosystem in China expanded 1.1 times, with 64.51% of the increased area converted from the cultivated land ecosystem. Cultivated land ecosystem was shrunk by 0.88×104 km2, its second-level ecosystems of paddyland and dry farmland decreased by 0.60×104 km2 and 2.09×104 km2, respectively, and oasis farmland expanded by 1.81×104 km2. Due to implementation of the "Grain for Green" project, mixed farmland/pastureland and farmland/forestland ecosystems decreased by 2.88×104 km2 and 0.92×104 km2, respectively, while the forestland ecosystem increased by 1.61×104 km2. The water/wetland ecosystem increased by 0.31×104 km2, of which 70% was from the expansion of marshland ecosystem. With the climate becoming warmer and wetter, the arid desert and frozen land ecosystems were shrunk by 14.98×104 km2 and 0.92×104 km2, respectively, while the pastureland ecosystem was expanded by 9.97×104 km2. Associated with these changes, the landscape connectivity declined while the fragmentation and diversity, as well as the resistance of ecological processes increased. The ecological status in China improved significantly from 2000 to 2020, with 92.06% of the ecosystems showing an increase in the normalized difference vegetation index (NDVI) at the mean increase rate of 0.74%/a. Of the identified ecosystems, the mixed farmland/pastureland and farmland/forestland ecosystems showed the most evident increase in the NDVI, increased by 1.26%/a and 0.85%/a, respectively. The classification and mapping results highlight the differences in ecosystem structure, ecological environment risks and productivity, providing scientific support for macro-scale ecosystem management.
Keywords:terrestrial ecosystem classification  human activities  cluster analysis  spatiotemporal pattern  NDVI change trends
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