Department of Natural Resource Management, College of Agriculture and Natural Resource, Wolkite University, Wolkite, P.O. Box 07, Ethiopia.
Center of Environmental Science, College of Natural and Computational Sciences, Addis Ababa University, Addis Ababa, P.O. Box 1176, Ethiopia.
Sci Total Environ. 2022 Feb 20;808:152166. doi: 10.1016/j.scitotenv.2021.152166. Epub 2021 Dec 5.
Terrestrial carbon storage is important for planning decisions regarding climate change. Therefore, modelling the spatial distribution of carbon storage and valuation can help restore the sustainability of the ecosystems. This study aimed at showing the spatial and temporal variations in carbon storage and valuation in the upper Omo Gibe Basin. Land use/cover and carbon pool data based on field data collection and laboratory analyses supported by GIS and remote sensing were used. The Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) software was used for modelling carbon storage. The Global voluntary carbon market price and Tropical Economics of Ecosystems and Biodiversity (TEEB) data were used for describing carbon storage in economic terms. ANOVA was carried out to detect significant differences in carbon stock correlation with parameters. The results show that the annual carbon stock declined by 0.37 t/ha and the carbon market declined from USD 25.04 billion in 1988 to USD 24.01 billion in 2018. The highest loss of carbon storage and valuation was found in forest land followed by grazing land. Moreover, carbon stock was positively correlated with NDVI and habitat quality (p < 0.05). Slopes did not affect carbon stock (p > 0.05). This study helps promote and enhance carbon trading.
陆地碳储存对于气候变化相关的规划决策非常重要。因此，对碳储存和估值的空间分布进行建模有助于恢复生态系统的可持续性。本研究旨在展示奥莫戈贝流域上游地区碳储存和估值的时空变化。本研究使用了基于 GIS 和遥感的实地数据收集和实验室分析支持的土地利用/覆被和碳库数据。利用综合生态系统服务和权衡评估工具（InVEST）软件对碳储存进行建模。全球自愿碳市场价格和生态系统与生物多样性经济评估（TEEB）数据用于从经济角度描述碳储存。方差分析用于检测与参数相关的碳储量的显著差异。结果表明，每年碳储量减少了 0.37 吨/公顷，碳市场从 1988 年的 250.4 亿美元下降到 2018 年的 240.1 亿美元。森林地和草地的碳储存和估值损失最大。此外，碳储量与 NDVI 和生境质量呈正相关（p<0.05）。坡度对碳储量没有影响（p>0.05）。本研究有助于促进和加强碳交易。
