4.5 Review

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

期刊

PHYSICS OF LIFE REVIEWS
卷 43, 期 -, 页码 239-270

出版社

ELSEVIER
DOI: 10.1016/j.plrev.2022.09.005

关键词

Climate change; Vegetation pattern; Mathematical modeling; Data analysis

资金

  1. National Key Research and Development Program of China
  2. National Natural Science Foundation of China
  3. China Postdoctoral Science Foundation
  4. [2018YFE0109600]
  5. [42275034]
  6. [42075029]
  7. [2021M701548]

向作者/读者索取更多资源

This review systematically reveals the spatial and temporal impacts of climate change on vegetation dynamics through dynamical modeling and data analysis. It provides a foundation for understanding the coupling effect of climate change on ecosystems.
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.(c) 2022 Elsevier B.V. All rights reserved.

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