在林业中整合气候智能实践:来自欧洲和美国的见解
Hongtao Xie1,2, Mengyuan Chang1,2, G Geoff Wang3
1Jiyang College, Zhejiang A&F University, Zhuji, China.
Frontiers in plant science
|August 1, 2025
概括
气候智能林业 (CSF) 在气候变化背景下提供可持续森林管理的解决方案. 这种方法提高了森林的弹性,减少了排放,提高了生产力,整合了应对全球林业挑战的技术和政策.
科学领域:
- 林业和环境科学 林业和环境科学
- 适应气候变化 适应气候变化
- 可持续发展 可持续发展 可持续发展
背景情况:
- 全球气候变化威胁着森林的可持续性,影响着森林资源,温室气体排放和管理.
- 实现森林提升,减排和可持续管理之间的平衡仍然是一个重大挑战.
- 气候智能林业 (CSF) 作为一种战略,通过将气候适应和减缓纳入森林管理来解决这些问题.
研究的目的:
- 审查发展目标和关于气候智能林业 (CSF) 的最新研究.
- 分析八个欧洲和美国国家的CSF的实践经验.
- 确定当前的挑战,并为CSF提出未来的发展战略.
主要方法:
- 关于气候智能林业 (CSF) 的最新研究进展和实践经验的文献综述.
- 分析来自巴西,美国和芬兰等国家的案例研究.
- 确定挑战,并为CSF提出发展方面的建议.
主要成果:
- 森林合作框架旨在通过增强森林弹性,减少温室气体排放,提高森林生产力和收入来促进可持续发展.
- 主要挑战包括气候变化的不确定性,政策-科学-实践的脱节,以及CSF目标之间的权衡.
- 像GIS,遥感,物联网,人工智能,智能伐木和森林生物经济等技术创新对CSF发展至关重要.
结论:
- 气候智能林业 (CSF) 提供了一个通过可持续森林管理来缓解气候变化的框架.
- 应对CSF挑战需要采用综合方法,技术创新和政策与科学与实践的协调.
- 在全球气候变化加快的背景下,CSF战略对于保护森林经济和社区至关重要.
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