| Issue |
BIO Web Conf.
Volume 215, 2026
The International Congress on Natural Resources and Sustainable Development (RENA 2025)
|
|
|---|---|---|
| Article Number | 03001 | |
| Number of page(s) | 11 | |
| Section | Climate Change and Natural Resource Management | |
| DOI | https://doi.org/10.1051/bioconf/202621503001 | |
| Published online | 04 February 2026 | |
Quantifying carbon storage decline under land degradation in the Central High Atlas: A case study of the Oued Ahansal watershed (2000–2022)
1 Laboratory of landscape dynamics, risks and heritage, Faculty of arts and humanities, Sultan Moulay Slimane University, 23000 Beni Mellal, Morocco
2 Polyvalent Team on research and development, Sultan Moulay Slimane University, Polydisciplinary Faculty, 23000 Beni Mellal, Morocco
3 Laboratory of geo-environmental analyses and planning -sustainable development (LAGEA-DD), Faculty of Arts and Humanities Saïs, Sidi Mohamed Ben Abdellah University, 30000 Fez, Morocco
Carbon sequestration is an essential ecosystem service that contributes to climate regulation and enhances ecosystem resilience. This study evaluates changes in carbon storage in the Oued Ahansal watershed, Central High Atlas, Morocco, from 2000 to 2022 using the InVEST model. Land use and land cover maps derived from Landsat 5 and Landsat 8 images were classified into four categories: dense forest, open forest, agricultural land, and bare soil. Carbon stocks were estimated for aboveground biomass, belowground biomass, soil, and dead organic matter. Results show a marked decline in high-carbon storage areas, which decreased from 55.5% in 2000 to 11.9% in 2022, while low-carbon zones increased from 5.1% to 80.8%. This reflects accelerated land degradation linked to vegetation loss, overgrazing, and recurrent droughts. The findings highlight the urgent need for reforestation, assisted natural regeneration, and sustainable land management to restore the carbon sink capacity of degraded mountain ecosystems.
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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