...
首页> 外文期刊>Carbon balance and management >Carbon stocks for different land cover types in Mainland Tanzania
【24h】

Carbon stocks for different land cover types in Mainland Tanzania

机译:坦桑尼亚大陆不同土地覆盖类型的碳储量

获取原文
           

摘要

BackgroundDeveloping countries participating in the mitigation mechanism of reducing emissions from deforestation and forest degradation (REDD+), are required to establish a forest reference emission level (FREL), if they wish to seek financial support to reduce carbon emissions from deforestation and forest degradation. However, establishment of FREL relies heavily on the accurate estimates of carbon stock as one of the input variable for computation of the emission factors (EFs). The product of an EF and activity data, such as the area of deforestation, results in the total emissions needed for establishment of FREL. This study presents the carbon stock estimates for different land cover classes based on an analysis of Tanzania’s national forest inventory data generated through the National Forest Resources Monitoring and Assessment (NAFORMA). ResultsCarbon stocks were estimated in three carbon pools, namely aboveground, belowground, and deadwood for each of the three land cover classes (i.e. Forest, non-forest, and wetland). The weighted average carbon stock was 33.35?t?C?hasup?1/sup for forest land, 4.28?t?hasup?1/sup for wetland and 5.81?t?hasup?1/sup for non-forest land. The uncertainty values were 0.9% for forest land, 11.3% for wetland and 1.8% for non-forest land. Average carbon stocks for land cover sub-classes, which make up the above mentioned major land cover classes, are also presented in our study. ConclusionsThe values presented in this paper correspond to IPCC tier 3 and can be used for carbon estimation at the national scale for the respective major primary vegetation type for various purposes including REDD+. However, if local based estimates values are needed, the use of auxiliary data to enhance the precision of the area of interest is recommended.
机译:背景信息参与减少森林砍伐和森林退化造成的排放量减少机制(REDD +)的发展中国家,如果希望寻求财政支持以减少森林砍伐和森林退化造成的碳排放,则必须建立森林参考排放水平(FREL)。但是,FREL的建立在很大程度上依赖于碳储量的准确估算,将其作为计算排放因子(EFs)的输入变量之一。 EF与活动数据(例如森林砍伐面积)的乘积得出建立FREL所需的总排放量。这项研究基于对通过国家森林资源监测与评估(NAFORMA)生成的坦桑尼亚国家森林清单数据的分析,得出了不同土地覆盖类别的碳储量估算值。结果估计了三种土地覆被类别(即森林,非森林和湿地)中三个碳库的碳储量,即地上,地下和枯木。林地的加权平均碳储量为33.35?t?ha ?1 ,湿地为4.28?t?ha ?1 ,5.81?t?​​ha >?1 (非林地)。林地的不确定性值为0.9%,湿地的不确定性值为11.3%,非林地的不确定性值为1.8%。我们的研究还介绍了构成上述主要土地覆被类别的土地覆被子类别的平均碳储量。结论本文提供的值对应于IPCC第三层,可用于全国范围内针对主要主要植被类型的碳估算,用于包括REDD +在内的各种用途。但是,如果需要基于局部的估计值,则建议使用辅助数据来提高感兴趣区域的精度。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号