固碳
植树造林
环境科学
中国
气候变化
农林复合经营
碳纤维
树(集合论)
林业
地理
生态学
二氧化碳
计算机科学
生物
数学
考古
数学分析
算法
复合数
作者
Meinan Zhang,Shirong Liu,Xiangzhong Luo,Trevor F. Keenan,Liyong Fu,Chiwei Xiao,Yao Zhang,Peng Gong
出处
期刊:Science Bulletin
[Elsevier BV]
日期:2025-03-17
卷期号:70 (11): 1834-1845
被引量:15
标识
DOI:10.1016/j.scib.2025.03.035
摘要
Strategic selection and precise matching of climate-resilient tree species are crucial for maximizing the mitigation and adaptation potential of Climate-Smart Forestry. However, current forestation plans often overlook species-specific environmental shifts, leading to suboptimal long-term carbon sequestration. Here we developed a climate-adaptive optimization framework to guide tree species selection and planting in China, based on projected habitat suitability and range shifts under future climate scenarios. Utilizing over 200,000 tree records from China's National Forest Inventory (1999-2018), we quantified habitat suitability declines of 12.1%-42.9% for currently dominant plantation species by 2060 due to climate change. By optimizing species-site matching and strategically harvesting timber at peak carbon uptake, we identified 43.2 million hectares suitable for climate-resilient forestation between 2025 and 2060, enabling the planting of approximately 46 billion climate-adapted trees with a total sequestration potential of 3822.6 Tg of carbon-a 28.7% increase compared to unmanaged scenarios. Our study highlights the importance of optimizing adaptive forestation strategies to enhance carbon sequestration under future climate conditions, providing technical guidance for climate-resilient forest management in support of China's net-zero commitment.
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