Impacts of climate change on vegetation pattern: Mathematical modeling and data analysis

Gui Quan Sun, Li Li, Jing Li, Chen Liu, Yong Ping Wu, Shupeng Gao, Zhen Wang, Guo Lin Feng

Research output: Contribution to journalReview articlepeer-review

65 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)239-270
Number of pages32
JournalPhysics of Life Reviews
Volume43
DOIs
StatePublished - Dec 2022

Keywords

  • Climate change
  • Data analysis
  • Mathematical modeling
  • Vegetation pattern

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