ArticleiScience2026
Spatiotemporal evolution and drivers of carbon stock in arid oases: Multi-source assessment and scenario prediction in Wei-Ku oasis, China.
Article in iScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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4 authors.
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Abstract
Accurately assessing carbon stock (CS) in arid oasis ecosystems is vital for the global carbon cycle and regional "dual carbon" goals. This study integrates field surveys, satellite imagery, climate data, machine learning, In VEST model, and the optimal parameters-based geographical detector model to analyze the Wei-Ku Oasis. The results indicate that: (1) carbon density ranked as follows: garden land (27,00.62 gm
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