Identifying the Main Factors Influencing Significant Global Vegetation Changes

Author:

Zhang Yuxin1ORCID,Lu Yafeng2ORCID,Song Xueqian1

Affiliation:

1. School of Management, Chengdu University of Information Technology, Chengdu 610225, China

2. Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China

Abstract

Understanding the dynamics of vegetation change is crucial for comprehending ecosystem functioning and its response to anthropogenic activities and climate change. This study investigates significant vegetation changes worldwide and aims to identify the dominant factors responsible for these changes. By analyzing long-term data on vegetation dynamics and climatic factors, this research identifies regions with significant global vegetation changes and determines the main factors leading to such changes at the grid scale. The results reveal important insights into the drivers of vegetation change. Firstly, the study finds that the area experiencing significant browning from April to July is larger than the area exhibiting significant greening. Secondly, on an annual scale, anthropogenic activity emerges as the main factor driving significant vegetation greening, while climate change becomes the primary factor causing vegetation browning from July to September. Thirdly, in regions dominated by climate change, temperature is identified as the primary climatic factor contributing to significant vegetation greening. Additionally, the study reveals that the primary climatic factors causing significant vegetation browning are temperature followed by soil moisture, with temperature being the main factor in most months. These findings contribute to a deeper understanding of the mechanisms driving global vegetation changes and have implications for sustainable development and climate action.

Funder

National Science Fund for Distinguished Young Scholars of China

Youth Innovation Promotion Association of the Chinese Academy of Sciences

Applied Basic Research Project of the Science Technology Department of Sichuan Province

Innovation Capacity Improvement Program of Chengdu University of Information Technology

Publisher

MDPI AG

Subject

Forestry

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