将树木物种的适宜性和碳封存纳入中国适应气候的林业
Meinan Zhang1, Shirong Liu1, Xiangzhong Luo2
1Key Laboratory of Forest Ecology and Environment of National Forestry and Grassland Administration, Ecology and Nature Conservation Institute, Chinese Academy of Forestry, Beijing 100091, China.
Science bulletin
|April 7, 2025
概括
气候智能林业需要仔细选择适应气候变化的树种,以最大限度地捕获碳. 这项研究制定了一个适应性框架,以优化林业,将碳吸收增加28.7%,并指导中国.
科学领域:
- 林业科学 林业科学
- 适应气候变化 适应气候变化
- 生态生态学 生态生态学
背景情况:
- 气候智能林业 (CSF) 旨在通过战略树种选择最大限度地减轻和适应潜力.
- 当前的林业计划往往无法考虑特定物种的环境变化,从而损害了长期的碳捕获.
- 预计气候变化对占主导地位的种植物种息地适宜性构成重大风险.
研究的目的:
- 开发和应用一个适应气候的优化框架来选择和种植中国的树种.
- 评估气候变化对主导种植物种息地适宜性的影响.
- 通过适应性林业确定增强碳封存的最佳策略.
主要方法:
- 利用来自中国国家森林库存 (1999-2018) 的超过20万棵树的记录.
- 根据2060年未来的气候情景,对主导物种的量化预测息地适应性下降.
- 优化了物种与地点的匹配和木材采伐策略,以达到峰值的碳吸收.
主要成果:
- 预计到2060年,息地适合性在主要种植物种下降12.1%至42.9%.
- 确定了43.2万公适合适应气候变化的林业 (2025-2060年).
- 预计将种植460亿棵适应气候的树木,其总封存潜力为3822.6Tg的碳,比未经管理的场景增加了28.7%.
结论:
- 优化适应性林业战略对于在未来的气候条件下增强碳封存至关重要.
- 开发的框架为气候适应性森林管理提供了技术指导.
- 支持中国通过加强林业实践实现净零排放的承诺.
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