Expressing carbon storage in economic terms: The case of the upper Omo Gibe Basin in Ethiopia

被引:20
作者
Aneseyee, Abreham Berta [1 ]
Soromessa, Teshome [2 ]
Elias, Eyasu [2 ]
Noszczyk, Tomasz [3 ]
Hernik, Jozef [3 ]
Benti, Natei Ermais [4 ]
机构
[1] Wolkite Univ, Coll Agr & Nat Resource, Dept Nat Resource Management, POB 07, Wolkite, Ethiopia
[2] Addis Ababa Univ, Coll Nat & Computat Sci, Ctr Environm Sci, POB 1176, Addis Ababa, Ethiopia
[3] Agr Univ Krakow, Fac Environm Engn & Land Surveying, Dept Land Management & Landscape Architecture, 253c Balicka St, PL-30149 Krakow, Poland
[4] Wolaita Sodo Univ, Coll Nat & Computat Sci, Dept Phys, POB 138, Wolaita Sodo, Ethiopia
关键词
Carbon market; Environmental challenges; InVEST model; Land use; cover; Spatial analysis; TEEB; ECOSYSTEM SERVICES; LAND-USE; URBAN EXPANSION; SPATIOTEMPORAL CHANGES; ABOVEGROUND BIOMASS; AGRICULTURAL SOILS; SECONDARY FORESTS; CLIMATE-CHANGE; URBANIZATION; EMISSIONS;
D O I
10.1016/j.scitotenv.2021.152166
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
引用
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页数:11
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