节点文献
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
【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.
【Key words】 Ecoinformatics; carbon-nitrogen-water cycle; model data fusion; long-term observation data; carbon neutrality;
- 【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