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坦桑尼亚大陆不同土地覆盖类型的碳储量。

Carbon stocks for different land cover types in Mainland Tanzania.

作者信息

Mauya Ernest William, Mugasha Wilson Ancelm, Njana Marco Andrew, Zahabu Eliakimu, Malimbwi Rogers

机构信息

Department of Forest Engineering and Wood Sciences, College of Forestry, Wildlife and Tourism, Sokoine University of Agriculture, Box 3012, Morogoro, Tanzania.

Department of Forest Resources Assessment and Management, College of Forestry, Wildlife and Tourism, Sokoine University of Agriculture, Box 3013, Morogoro, Tanzania.

出版信息

Carbon Balance Manag. 2019 Apr 27;14(1):4. doi: 10.1186/s13021-019-0120-1.

Abstract

BACKGROUND

Developing 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).

RESULTS

Carbon 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 ha for forest land, 4.28 t ha for wetland and 5.81 t ha 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.

CONCLUSIONS

The 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.

摘要

背景

参与减少毁林和森林退化所致排放量(REDD+)减缓机制的发展中国家,若希望寻求资金支持以减少毁林和森林退化产生的碳排放,就需要确定森林参考排放水平(FREL)。然而,FREL的确定在很大程度上依赖于对碳储量的准确估算,而碳储量是计算排放因子(EFs)的输入变量之一。EF与活动数据(如毁林面积)的乘积,得出确定FREL所需的总排放量。本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查数据的分析,给出了不同土地覆盖类型的碳储量估算结果。

结果

对三种土地覆盖类型(即森林、非森林和湿地)的三个碳库(即地上、地下和枯木)的碳储量进行了估算。林地的加权平均碳储量为33.35吨碳/公顷,湿地为4.28吨/公顷,非林地为5.81吨/公顷。林地的不确定性值为0.9%,湿地为11.3%,非林地为1.8%。我们的研究还给出了构成上述主要土地覆盖类型的土地覆盖亚类的平均碳储量。

结论

本文给出的值符合IPCC第3层的要求,可用于国家尺度上针对包括REDD+在内的各种目的的相应主要原生植被类型的碳估算。然而,如果需要基于当地的估算值,建议使用辅助数据来提高感兴趣区域的精度。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90f6/7227115/1c2dd806571d/13021_2019_120_Fig1_HTML.jpg

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