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基于模型数据融合的我国陆地生态系统碳氮水循环研究应用

Application Case of Carbon, Nitrogen and Water Cycle Research of Terrestrial Ecosystem in China Based on Model Data Fusion

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【作者】 何洪林陈智张黎任小丽何念鹏贾彦龙王秋凤郭学兵苏文唐新斋葛蓉牛忠恩朱先进张心昱高扬朱剑兴常清青于贵瑞

【Author】 HE Honglin;CHEN Zhi;ZHANG Li;REN Xiaoli;HE Nianpeng;JIA Yanlong;WANG Qiufeng;GUO Xuebing;SU Wen;TANG Xinzhai;GE Rong;NIU Zhongen;ZHU Xianjin;ZHANG Xinyu;GAO Yang;ZHU Jianxing;CHANG Qingqing;YU Guirui;Key Laboratory of Ecosystem Network Observation and Modelling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences;National Ecosystem Science Data Center;College of Forestry, Hebei Agricultural University;College of Agriculture, Shenyang Agricultural University;

【通讯作者】 于贵瑞;

【机构】 中国科学院地理科学与资源研究所/生态系统网络观测与模拟重点实验室国家生态科学数据中心河北农业大学林学院沈阳农业大学农学院

【摘要】 以中国生态系统研究网络(CERN)长期定位观测数据为基础,结合多源数据发展了生态模型数据融合方法体系,研发多尺度生态数据产品和生态数据共享、分析与模拟平台,系统评估我国陆地生态系统近30年碳氮水通量的大小、趋势和年际变异及其影响因素,以推动我国生态信息学领域的技术发展,深入认识陆地生态系统碳氮水循环和气候相互关系,提高我国生态系统评估与管理能力。

【Abstract】 Based on the long-term positioning observation data of Chinese Ecosystem Research Network(CERN), combined with the multi-source data, we developed an ecological model data fusion method system.In the meantime, the multi-scale ecological data products and the ecological data sharing, analysis and simulation platform were developed. We systematically assessed the pattern, trend, variation and influencing factors of the carbon, nitrogen and water fluxes of the terrestrial ecosystems in China in the past 30 years.The results are of great scientific significance for promoting the technological development in the field of Ecoinformatics, deeply understanding the relationship between the carbon-nitrogen-water cycle and climate in terrestrial ecosystems, and improving the ability of ecosystem assessment and management in China.

【基金】 国家重点研发计划政府间国际科技创新合作项目“中国及中亚一带一路区域典型陆地生态系统综合监测与应用”(2019YFE0126500);国家自然科学基金重点项目“中国森林生态系统碳循环关键过程的参数反演与迭代预测”(42030509)
  • 【文献出处】 中国科技资源导刊 ,China Science & Technology Resources Review , 编辑部邮箱 ,2022年01期
  • 【分类号】P339;X171.1
  • 【下载频次】620
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