Vegetation dynamics and their relationships with climatic factors in the "Golden Triangle" region

Yaping Zhu; Juchao Zhao; Pifeng Lei; Kun Yang; Shaohua Zhang; Xiaoxue Yin; Yan Jiang

doi:10.1007/s11356-022-20650-y

Vegetation dynamics and their relationships with climatic factors in the "Golden Triangle" region

Environ Sci Pollut Res Int. 2022 Oct;29(48):73029-73042. doi: 10.1007/s11356-022-20650-y. Epub 2022 May 26.

Authors

Yaping Zhu¹, Juchao Zhao², Pifeng Lei³, Kun Yang², Shaohua Zhang², Xiaoxue Yin², Yan Jiang¹

Affiliations

¹ Faculty of Life Science and Technology, Central South University of Forestry and Technology, Changsha, 410004, Hunan, China.
² The Engineering Research Centre of GIS Technology in Western China, Ministry of Education, Yunnan Normal University, Kunming, 650500, China.
³ Faculty of Life Science and Technology, Central South University of Forestry and Technology, Changsha, 410004, Hunan, China. pifeng.lei@csuft.edu.cn.

PMID: 35616840
DOI: 10.1007/s11356-022-20650-y

Abstract

The "Golden Triangle" is located on the border between Myanmar, Laos, and Thailand, and slash-and-burn cultivation is an ancient and typical land type in this region. With the development of the "The Belt and Road" strategy of China and the climate change, the vegetation information is bound to change intensively under the combined influence of alternative plantation projects and economic policies. Here we used MOD13Q1-normalized differential vegetation index (NDVI) and meteorological data to analyze the variation of vegetation coverage and its correlation with climatic factors (temperature and precipitation) during the period of 2000-2018 by using trend analysis, stability analysis, and partial correlation analysis. The results showed that the overall vegetation coverage of this region exerted the trend of improvement and became more stable over time. Spatially, the agglomeration degree became weaker as time goes during 2000-2018. The precipitation was more closely correlated with NDVI than temperature, indicating that precipitation could be the main limiting factor influencing vegetation change in this area. The correlation between NDVI and climatic factors exhibited differences among different seasons, with NDVI being less correlated with temperature and precipitation in spring and summer and more correlated with them in autumn and winter. Investigating the long-term vegetation coverage of this region and analyzing the trend of climate change is beneficial to understand the development trend of the ecological environment and resource potential in this region. Simultaneously, it can provide a favorable ecological evaluation for The Belt and Road strategy and provide important scientific suggestions and guidance for the sustainable development of ecosystems and human society under the drastic environmental changes.

Keywords: Climate factor; Golden Triangle; NDVI,·Vegetation dynamics; Remote sensing; Spatiotemporal variation.

MeSH terms

China
Climate Change*
Ecosystem*
Seasons
Temperature