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  • Sep 26, 2024 | nature.com | Ling Yao |Tang Liu |Jun Qin |Hou Jiang |Lin Yang |Peter Smith | +1 more

    AbstractChina’s large-scale tree planting programs are critical for achieving its carbon neutrality by 2060, but determining where and how to plant trees for maximum carbon sequestration has not been rigorously assessed. Here, we developed a comprehensive machine learning framework that integrates diverse environmental variables to quantify tree growth suitability and its relationship with tree numbers. Then, their correlations with biomass carbon stocks were robustly established.

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