학술논문

Modeling predictive changes of carbon storage using invest model in the Beht watershed (Morocco)
Document Type
Article
Source
Modeling Earth Systems and Environment; 20230101, Issue: Preprints p1-10, 10p
Subject
Language
ISSN
23636203; 23636211
Abstract
Carbon sequestration and storage is considered one of the world's most recognized and vital ecosystem services, as it reduces atmospheric CO2, accelerating climate change. It refers to the capacity of terrestrial ecosystems to capture and store carbon within one of the 4 carbon pools. Although the diversity of land uses at the Beht watershed level, the spatial distribution and quantification of carbon storage are never studied. Thus, the objective of the current study aims to model and evaluate the link between the different types of land use/land cover changes (LULC) and the carbon sequestration service in the Beht watershed over 20 years, and estimate the economic value of the carbon sequestered in the remaining stock. For the processing of spatial data, we applied the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST 3.7.0) carbon storage and sequestration modeling software. The results show that built-up areas, agriculture, and forests increased by 136, 86, and 0.34% respectively, whereas rangeland and water bodies decreased by 18 and 81%, respectively. This change of LULC had the greatest effect on carbon storage passing from 10.76106tC to 13.15 106tC between 2000 and 2020, which is more important in forests contributing by 141.4tC per ha. Based on the social cost of carbone, we estimated the economic value of carbon sequestration service between 17,548,000 and 35,096,000 $/year, or 104 and 208 $/ha/year. The results confirm the importance of using other management strategies such as REED + , or payment for ES that will lead environmental policies to adopt sustainable LULCs that support livelihoods and management choices.