Quantitative analysis of the impact of ecological projects on vegetation dynamics under the background of climate change: A review of methods

PDF HTML阅读 XML下载 导出引用 引用提醒 气候变化背景下定量解析生态工程对植被动态的影响研究方法概述 DOI: 10.5846/stxb202105111233 作者: 作者单位: 作者简介: 通讯作者: 中图分类号: 基金项目: 中国科学院战略性先导科技专项A美丽中国子课题(XDA23040303)；国家自然科学基金项目(51779241)；三峡库区消落区(重庆段)生态环境调查及生态恢复技术示范项目(5000002021BF40001) Quantitative analysis of the impact of ecological projects on vegetation dynamics under the background of climate change: A review of methods Author: Affiliation: Fund Project: Strategic Priority Research Program (A) of the Chinese Academy of Sciences (XDA23040303) 摘要 | 图/表 | 访问统计 | 参考文献 | 相似文献 | 引证文献 | 资源附件 | 文章评论 摘要:植被动态变化受气候和人类活动双重作用力的驱动。在气候变化的背景下,如何定量剖析人类活动在植被动态变化中的作用力,对增加植被生态系统碳储量和缓解气候变化具有重要意义。随着生态文明建设和环境保护意识的加强,就植被生态系统而言,生态工程作为一项巨大的人类活动,对植被影响的广度和深度日益加强。系统分析气候变化背景下生态工程对植被的生态效应影响,对后期生态恢复措施的制定和实施具有十分重要的理论指导意义。虽已有一些生态工程对植被影响的定量化研究方法,但不同方法之间的结果难以进行比较研究。比较探讨各定量研究方法的优缺点有利于推动植被驱动机制的研究,有助于恢复生态学和人类生态学的应用和发展。系统梳理了定量研究生态工程对植被动态的影响主要研究方法:回归分析、残差趋势分析、基于生物物理过程模型方法和阈值分割方法。对比发现,基于生物物理过程模型方法具有较高的应用潜力,趋势分析方法和阈值分割方法仍需进一步完善。目前,定量剖析生态工程对植被变化的影响研究主要侧重于模型模拟,野外实证研究和模型验证较为缺乏,是恢复生态学未来研究的重点和难点之一。 Abstract:Vegetation dynamics are driven by both climate change and anthropogenic activities. Under the background of climate change, comprehensive and quantitative analysis of the role and contribution of human activity in vegetation dynamic changes is of great significance for increasing the carbon stocks of vegetation ecosystems and for mitigating climate change. With the construction of ecological civilization and the strengthening of environmental protection awareness, the profound effects of ecological projects on vegetation variation have been gradually recognized. In terms of vegetation ecosystems, ecological projects, as a type of profound anthropogenic activity, have increasingly and deeply impacted the local and regional vegetation. Systematic analysis of the ecological effects of ecological projects on vegetation under the background of climate change is of great theoretical significance to the formulation and implementation of ecological restoration measures. Many studies have quantitatively explored the impact of ecological projects on vegetation dynamics. However, it is difficult to compare their results with different methods. A comprehensive comparison of these quantitative methods would promote the study of vegetation driving mechanisms and the development of restoration ecology and human ecology. This review summaries several quantitative methods of ecological projects’ impact on the vegetation, including regression analysis, residual trend analysis, the biophysical process model-based method, and the threshold segmentation method. We found that the biophysical process model-based method had the highest potential for application, whereas the residual trend analysis and the threshold segmentation method still needed further improvement. At present, the quantitative analysis of ecological projects’ effects on vegetation change mainly focuses on model simulation, while field empirical study and model verification are relatively lacking, which is one of the emphases and difficulties in future research. 参考文献 相似文献 引证文献