Spatio-temporal change characteristics of vegetation coverage and its relationship with meteorological factors in the Greater Mekong Subregion

QIU Fengting, GUO Zhifeng, ZHANG Zongke, WEI Xianhu, LI Junjie, LYU Zheng

JOURNAL OF NANJING FORESTRY UNIVERSITY ›› 2022, Vol. 46 ›› Issue (2) : 187-195.

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南京林业大学学报（自然科学版）
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JOURNAL OF NANJING FORESTRY UNIVERSITY ›› 2022, Vol. 46 ›› Issue (2) : 187-195. DOI: 10.12302/j.issn.1000-2006.202010020

Spatio-temporal change characteristics of vegetation coverage and its relationship with meteorological factors in the Greater Mekong Subregion

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Abstract

【Objective】The aim of this reseach is to analyze the temporal and spatial distribution of vegetation coverage in the Greater Mekong Subregion (GMS), and the relationship between vegetation coverage and meteorological factors, so as to provide a theoretical basis for vegetation protection and ecological environment restoration in GMS under the background of global warming environment.【Method】Taking the GMS as the study area, based on MOD13Q1-NDVI data and Google Earth Engine (GEE) platform, the linear regression analysis and Markov model were employed to analyze the spatio-temporal change of its vegetation coverage from 2005 to 2019, and the partial correlation analysis was used to analyze the relationship between vegetation coverage and meteorological factors. 【Result】The 61.9% of the GMS was a high vegetation type, showing the characteristics of low in the north and high in the south, high in the east and low in the west. From 2005 to 2016, the vegetation was improved and mainly the medium-high vegetation transformed to the high vegetation. From 2016 to 2019, the vegetation degraded significantly, and mainly the high vegetation transformed to the low vegetation. In the past 15 years, 12.7% of the area in GMS showed an improvement trend, and 3.0% showed a degradation trend. Based on the overlay analysis of the trend change and Hurst index, the area of significant improvement on vegetation will be greater than a significant degradation in the future, and the vegetation coverage in the south of GMS will be degraded in the future. In terms of an interannual variation trend, normalized vegetation index (NDVI) was significantly positively correlated with temperature, with a correlation coefficient of 0.61, and weakly correlated with precipitation. Spatially, the change of NDVI was affected obviously by temperature and precipitation, and the north was significantly negatively correlated with precipitation, and the south was significantly negatively correlated with temperature.【Conclusion】The vegetation coverage in GMS is good in the whole, and the improvement trend is greater than the degradation. Generally speaking, the vegetation change in GMS is related to temperature and precipitation, especially in the north and south.

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Greater Mekong Subregion(GMS) / vegetation coverage / spatial and temporal change / temperature / precipitation

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QIU Fengting , GUO Zhifeng , ZHANG Zongke , et al . Spatio-temporal change characteristics of vegetation coverage and its relationship with meteorological factors in the Greater Mekong Subregion[J]. JOURNAL OF NANJING FORESTRY UNIVERSITY. 2022, 46(2): 187-195 https://doi.org/10.12302/j.issn.1000-2006.202010020

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