全球经济模型对土壤和生物质碳储量的新估计

H. Gibbs, S. Yui, R. Plevin
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引用次数: 21

摘要

我们综合了一系列地理上明确的森林、草地和农田生物量和土壤碳输入数据源,并使用地理信息系统(GIS)软件计算土壤和生物量碳储量的新估计,以用于全球经济模型,特别是全球贸易和分析项目(GTAP)。我们的结果量化了246个国家土壤和生物量中碳储量的平均数量,并按农业生态区进行了分层(可在随附的电子表格中获得)。我们还以电子表格形式和GTAP的本地二进制文件格式提供了为GTAP 8.1数据库定义的134个区域的汇总数据。最后,我们为FlexAgg2程序提供了一个附加组件,以便根据需要进一步聚合134个区域。我们的分析对用于间接土地利用变化碳排放建模的碳储量估算进行了实质性改进。与以前的数据库相比,我们分析的空间细节是一个主要优势,因为它提供了针对感兴趣区域的估计,并更好地说明了整个景观以及湿地和非湿地区域之间碳储量的变化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
New Estimates of Soil and Biomass Carbon Stocks for Global Economic Models
We synthesized a range of geographically-explicit forest, grassland and cropland biomass and soil carbon input data sources and used geographic information systems (GIS) software to calculate new estimates of soil and biomass carbon stocks for use with global economic models, particularly for the Global Trade and Analysis Project (GTAP). Our results quantify the average amount of carbon stored in soil and biomass in each of the 246 countries, stratified by agro-ecological zones (available in the accompanying spreadsheet). We also provide the data aggregated to the 134 regions defined for the GTAP 8.1 database both in spreadsheet form and in GTAP’s native binary file format. Finally, we provide an add-on to FlexAgg2 program to further aggregate the 134 regions as desired. Our analysis makes substantial refinements to the estimates of carbon stocks used for modeling carbon emissions from indirect land use change. The spatial detail of our analysis is a major advantage over previous databases because it provides estimates tailored to the regions of interest and better accounts for the variation of carbon stocks across the landscape, and between wetland and non-wetland regions.
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