Department of Mathematics, North University of China, Taiyuan, 030051, China; Complex Systems Research Center, Shanxi University, Taiyuan, 030006, China; Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, 519082, China.
School of Computer and Information Technology, Shanxi University, Taiyuan, 030006, China.
Phys Life Rev. 2022 Dec;43:239-270. doi: 10.1016/j.plrev.2022.09.005. Epub 2022 Oct 25.
Climate change has become increasingly severe, threatening ecosystem stability and, in particular, biodiversity. As a typical indicator of ecosystem evolution, vegetation growth is inevitably affected by climate change, and therefore has a great potential to provide valuable information for addressing such ecosystem problems. However, the impacts of climate change on vegetation growth, especially the spatial and temporal distribution of vegetation, are still lacking of comprehensive exposition. To this end, this review systematically reveals the influences of climate change on vegetation dynamics in both time and space by dynamical modeling the interactions of meteorological elements and vegetation growth. Moreover, we characterize the long-term evolution trend of vegetation growth under climate change in some typical regions based on data analysis. This work is expected to lay a necessary foundation for systematically revealing the coupling effect of climate change on the ecosystem.
气候变化日益严重,威胁着生态系统的稳定性,特别是生物多样性。植被生长作为生态系统演化的典型指标,必然受到气候变化的影响,因此具有为解决生态系统问题提供有价值信息的巨大潜力。然而,气候变化对植被生长的影响,特别是植被的时空分布,仍缺乏全面的阐述。为此,本研究通过动态建模气象要素与植被生长的相互作用,系统地揭示了气候变化对植被动态在时间和空间上的影响。此外,我们还基于数据分析,描述了一些典型区域植被生长在气候变化下的长期演化趋势。这项工作有望为系统揭示气候变化对生态系统的耦合效应奠定必要的基础。