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This study utilizes a machine learning method, boosted regression tree (BRT), to estimate the global marginal land resources suitable for cultivating Pistacia chinensis Bunge, a promising biodiesel feedstock. The findings indicate that approximately 1311.85 million hectares of suitable marginal land exist primarily in regions such as Southern Africa and Southeast Asia, with climate variables being the most significant factors influencing suitability. This research provides valuable insights for formulating

Author

nurduzen01

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EN