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机构地区:[1]南京农业大学资源与环境学院
出 处:《Journal of Forestry Research》2003年第4期323-330,共8页林业研究(英文版)
基 金:The research is funded by National Natural Science Foundation (40231016) and Canadian International Development Agency (CIDA).
摘 要:As the largest pool of terrestrial organic carbon, soils interact strongly with atmosphere composition, climate, and land change. Soil organic carbon dynamics in ecosystem plays a great role in global carbon cycle and global change. With development of mathematical models that simulate changes in soil organic carbon, there have been considerable advances in understanding soil organic carbon dynamics. This paper mainly reviewed the composition of soil organic matter and its influenced factors, and recommended some soil organic matter models worldwide. Based on the analyses of the developed results at home and abroad, it is suggested that future soil organic matter models should be developed toward based-process models, and not always empirical ones. The models are able to reveal their interaction between soil carbon systems, climate and land cover by technique and methods of GIS (Geographical Information System) and RS (Remote Sensing). These models should be developed at a global scale, in dynamically describing the spatial and temporal changes of soil organic matter cycle. Meanwhile, the further researches on models should be strengthen for providing theory basis and foundation in making policy of green house gas emission in China.土壤作为陆地生态系统中最大的有机碳库,与大气、气候和土地利用变化有着紧密的联系,土壤有机质和气候,土地利用变化影响着土壤有机碳的动态变化。为了充分了解它们之间的相互作用,国内外发展了多种模拟模型。本文概括了土壤有机碳的组成和主要影响因素;介绍了目前国内外的有关土壤有机碳模型。并通过对国内外研究现状的对比分析,应提出以下几方面启示:土壤有机碳模型不再仅仅是基于经验,而应向着基于机理的方向发展;所建立的模型能揭示出土壤碳循环、气候和土地利用变化之间的相互作用;利用地理信息系统、遥感技术和方法为模型构建和运行提供工具和数据;模型应向全球尺度发展,并能动态的描述土壤有机碳的时空变化。同时,要加强各种情景研究,为中国制定温室气体排放政策提供理论基础和依据。图4参58。
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