摘要
20世纪80年代以来中国社会经济快速发展带来的工业化、城市化正深刻影响着中国土地利用空间格局并影响到区域和国家生态与环境状况。在陈述彭先生指导下,1992年以来中国科学院建立起了完整的土地利用/覆盖变化遥感监测与数据分析技术路线,以及独特的分类体系和动态区划体系,奠定了中国LUCC信息平台的基础。本文在系统回顾陈述彭学术思想指导中国LUCC研究的基础上,面向国家需求与国际科技前沿梳理了我国LUCC研究的核心科学问题,并总结了中国科学院团队在最近20年LUCC研究取得的成果,包括土地利用/覆盖动态时空表征与分析模型、土地利用/覆盖变化过程及驱动机制、基于大数据和云计算的土地利用/覆盖变化探测方法、城市土地利用变化的区域气候/生态效应、气候变化与土地利用变化对农田生态系统的影响、林业活动的区域气候/生态效应,在此基础上对未来LUCC研究的前景进行了展望。
The rapid industrialization and urbanization along with the economic development of China since the 1980s have been profoundly altering land use pattern in China and subsequently affecting regional and national ecological and environmental conditions.Under the guidance of Shupeng Chen,since 1992 the Chinese Academy of Sciences(CAS)has established a complete framework for remote sensing-based land use change monitoring and data analyses,as well as a unique classification system,which has laid the foundation for China's Land Use and Land Cover Change(LUCC)information platform.Firstly,this paper systematically described the history of the LUCC studies in CAS,which include three phases:(1)1992-1995:Establishment of remote sensing platform for National LUCC Monitoring System.In this phase,CAS designed a land classification system,and built the national-scalemonitoring platform for land use interpretation,by using 30 m optical remote sensing data as inputs.(2)1996-2005:Standardization and operation of National LUCC Monitoring System.The three national satellite image and landuse map databases in the late 1980s,1995 and 2000 covering the country were built with the National LUCC Monitoring System.(3)2005-present:Multidisciplinary applications of land use changes results according to the National LUCC Monitoring System.In this phase,the multiple serial land use maps were widely used in various fields,e.g.,the driving mechanism of agricultural reclamation and ecological conversion of farmland,and the system provided scientific support for the national ecological protection and sustainable development.Secondly,we proposed key scientific questions in the field of China's LUCC studies:What is the major spatiotemporal process of LUCC in China and even the world since the era of industrialization?What are the combined effects of LUCC and climate change on the structure and function of terrestrial ecosystems?How to treat the land system science as a multidisciplinary solution for sustainability?Thirdly,we also summarized the achievements of recent LUCC researches in the past 10 years,including different topics ranging from land use dynamic models,process and driving mechanism of land use/cover changes,improved land use change detection based on integration of big earth data and cloud computingtechnology,regional climatic and ecological consequences of urban,agricultural and forest land use changes.Finally,potential new directions of LUCC research are discussed from the perspectives of the scientific and technological frontiers.The LUCC research expect to provide important scientific supports for China to achieve the United Nations Sustainable Development Goals(SDGs)in the future.
作者
刘纪远
张增祥
张树文
颜长珍
吴世新
李仁东
匡文慧
史文娇
黄麟
宁佳
董金玮
LIU Jiyuan;ZHANG Zengxiang;ZHANG Shuwen;YAN Changzhen;WU Shixin;LI Rendong;KUANG Wenhui;SHI Wenjiao;HUANG Lin;NING Jia;DONG Jinwei(Key Laboratory of Land Surface Pattern and Simulation,Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,China;Aerospace Information Research Institute,Chinese Academy of Sciences,Beijing 100101,China;Northeast Institute of Geography and Agroecology,Chinese Academy of Sciences,Changchun 130102,China;Northwest Institute of Eco-Environment and Resources,Chinese Academy of Sciences,Lanzhou 730000,China;Xinjiang Institute of Ecology and Geography,Chinese Academy of Sciences,Urumqi 830011,China;IInnovation Academy for Precision Measurement Science and Technology,Chinese Academy of Sciences,Wuhan 430077,China;College of Resources and Environment,University of Chinese Academy of Sciences,Beijing 100049,China)
出处
《地球信息科学学报》
CSCD
北大核心
2020年第4期680-687,共8页
Journal of Geo-information Science
基金
中国科学院前沿科学重点研究项目(QYZDB-SSW-DQC005)。