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首页> 外文会议>International Conference on Regional Carbon Budgets; 20060816-18; Beijing(CN) >A system for estimating spatially explicit soil organic carbon stocks and changes
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A system for estimating spatially explicit soil organic carbon stocks and changes

机译：一种估算空间显性土壤有机碳储量和变化的系统

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摘要

An understanding of soil organic carbon (SOC) stocks and changes at the national and regional scale is necessary to further our understanding of the global carbon cycle, to assess the responses of terrestrial ecosystems to climate change and to aid policy makers with land use/management decisions. To gain such an understanding a system is needed that can deal with complex combinations of environmental and management variables. Process-based models deal with such complexities. Ecosystem models, designed for site-scale applications, can be linked to spatia databases giving spatially explicit results that allow geographic areas of change in SOC stocks to be identified. The Global Environment Facility Soil Organic Carbon (GEFSOC) Modelling System link two of the most widely used SOC models (Roth-C and Century) and the IPCC Tier I method to spatia databases via a GIS. The system is derived from software developed, over the last ten years, for large-scale spatially-distributed simulations by The Natural Resource Ecology Laboratory, Colorad State University, USA. Data from four contrasting areas (The Brazilian Amazon, Kenya, Jordan an The Indian Indo-Gangetic Plains) were used to develop the system. Development of the system; discussed, as are estimated changes in SOC stocks between 2000-2030 in the four case study areas.
机译：必须了解国家和地区尺度上的土壤有机碳（SOC）储量和变化，以进一步了解全球碳循环，评估陆地生态系统对气候变化的反应，并帮助决策者进行土地使用/管理决定。为了获得这种理解，需要一个能够处理环境和管理变量的复杂组合的系统。基于流程的模型处理这种复杂性。专为站点规模应用而设计的生态系统模型可以链接到空间数据库，从而提供空间明确的结果，从而可以确定SOC存量变化的地理区域。全球环境基金土壤有机碳（GEFSOC）建模系统通过GIS将两个最广泛使用的SOC模型（Roth-C和Century）和IPCC Tier I方法链接到空间数据库。该系统源自最近十年开发的软件，该软件由美国科罗拉多州立大学自然资源生态实验室进行大规模的空间分布模拟。该系统使用了四个对比地区（巴西亚马逊，肯尼亚，约旦和印度印度恒河平原）的数据。系统开发；讨论，以及四个案例研究区域中2000-2030年间SOC的估计变化。

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