Paper Info
Title
Changes in Vegetation Dynamics and Relations with Extreme Climate on Multiple Time Scales in Guangxi, China
Abstract
Understanding the responses of vegetation to climate extremes is important for revealing vegetation growth and guiding environmental management. Guangxi was selected as a case region in this study. This study investigated the spatial-temporal variations of the Normalized Difference Vegetation Index (NDVI), and quantitatively explored effects of climate extremes on vegetation on multiple time scales during 1982-2015 by applying the Pearson correlation and time-lag analyses. The annual NDVI significantly increased in most areas with a regional average rate of 0.00144 year(-1), and the highest greening rate appeared in spring. On an annual scale, the strengthened vegetation activity was positively correlated with the increased temperature indices, whereas on a seasonal or monthly scale, this was the case only in spring and summer. The influence of precipitation extremes mainly occurred on a monthly scale. The vegetation was negatively correlated with both the decreased precipitation in February and the increased precipitation in summer months. Generally, the vegetation significantly responded to temperature extremes with a time lag of at least one month, whereas it responded to precipitation extremes with a time lag of two months. This study highlights the importance of accounting for vegetation-climate interactions.
Year
DOI
Venue
2022
10.3390/rs14092013
REMOTE SENSING
Keywords
DocType
Volume
vegetation dynamics, multiple time scales, extreme climate, NDVI, correlation, Guangxi
Journal
14
Issue
ISSN
Citations 
9
2072-4292
0
PageRank 
References 
Authors
0.34
0
6
Name
Order
Citations
PageRank
Leidi Wang101.01
Fei Hu200.34
Yuchen Miao300.34
Caiyue Zhang400.34
Lei Zhang5315.43
Mingzhu Luo600.34