Assessing the responses of vegetation to meteorological drought and its influencing factors with partial wavelet coherence analysis

Zhou，Zhaoqiang1,2; Liu，Suning1,2,3; Ding，Yibo4; Fu，Qiang5; Wang，Yao1,2; Cai，Hejiang1,2,6; Shi，Haiyun1,2

2022-06-01

10.1016/j.jenvman.2022.114879

JOURNAL OF ENVIRONMENTAL MANAGEMENT   影响因子和分区

0301-4797

1095-8630

The increase in drought frequency in recent years is considered as an important factor affecting vegetation diversity. Understanding the responses of vegetation dynamics to drought is helpful to reveal the behavioral mechanisms of terrestrial ecosystems and propose effective drought control measures. In this study, long time series of Normalized Difference Vegetation Index (NDVI) and Solar-induced chlorophyll fluorescence (SIF) were used to analyze the vegetation dynamics in the Pearl River Basin (PRB). The relationship between vegetation and meteorological drought was evaluated, and the corresponding differences among different vegetation types were revealed. Based on an improved partial wavelet coherence (PWC) analysis, the influences of teleconnection factors (i.e., large-scale climate patterns and solar activity) on the response relationship between meteorological drought and vegetation were quantitatively analyzed to determine the roles of factors. The results indicate that (a) vegetation in the PRB showed an increasing trend from 2001 to 2019, and the SIF increased more than that of NDVI; (b) the vegetation response time (VRT) based on NDVI (VRT) was typically 4–6 months, while the VRT based on SIF (VRT) was typically 2–4 months. The VRT was shortest in the woody savannas and longest in the evergreen broadleaf forests. (c) The relationship between the SIF and meteorological drought was more significant than that between the NDVI and meteorological drought. (d) There was a significant positive correlation between meteorological drought and vegetation in the period of 8–20 years. The El Niño Southern Oscillation (ENSO), Pacific Decadal Oscillation (PDO) and sunspots were important driving factors affecting the response relationship between drought and vegetation. Specifically, the PDO had the greatest impacts among these factors.

Meteorological drought Normalized difference vegetation index Partial wavelet coherence analysis Solar-induced chlorophyll fluorescence Vegetation dynamics

SCI

英语

第一 ; 通讯

National Natural Science Foundation of China[51909117,51825901] ; Heilongjiang Provincial Science Fund for Distinguished Young Scholars[YQ2020E002] ; Guangdong Provincial Key Laboratory of Soil and Groundwater Pollution Control[2017B030301012]

Environmental Sciences & Ecology

Environmental Sciences

WOS:000783241500007

ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD

ENVIRONMENT/ECOLOGY

2-s2.0-85126575321

Scopus

1.State Environmental Protection Key Laboratory of Integrated Surface Water-Groundwater Pollution Control,School of Environmental Science and Engineering,Southern University of Science and Technology,Shenzhen,Guangdong,China
2.Guangdong Provincial Key Laboratory of Soil and Groundwater Pollution Control,School of Environmental Science and Engineering,Southern University of Science and Technology,Shenzhen,Guangdong,China
3.Center for Climate Physics,Institute for Basic Science,Busan,South Korea
4.Yellow River Engineering Consulting Co. Ltd.,Zhengzhou,450003,China
5.School of Water Conservancy and Civil Engineering,Northeast Agricultural University,Harbin,China
6.Department of Civil and Environmental Engineering,National University of Singapore,Singapore

Zhou，Zhaoqiang,Liu，Suning,Ding，Yibo,et al. Assessing the responses of vegetation to meteorological drought and its influencing factors with partial wavelet coherence analysis[J]. JOURNAL OF ENVIRONMENTAL MANAGEMENT,2022,311.

Zhou，Zhaoqiang.,Liu，Suning.,Ding，Yibo.,Fu，Qiang.,Wang，Yao.,...&Shi，Haiyun.(2022).Assessing the responses of vegetation to meteorological drought and its influencing factors with partial wavelet coherence analysis.JOURNAL OF ENVIRONMENTAL MANAGEMENT,311.

Zhou，Zhaoqiang,et al."Assessing the responses of vegetation to meteorological drought and its influencing factors with partial wavelet coherence analysis".JOURNAL OF ENVIRONMENTAL MANAGEMENT 311(2022).