Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Prominent vegetation greening in spring and autumn across China during the 1981–2018 period

Bibliographic Data

ID15550693
AuthorsMingxing Li (0000-0003-3441-5004, Chinese Academy of Sciences, corresponding author), Peili Wu (0000-0001-7908-7062, Met Office), Zhuguo Ma (0000-0002-3968-7837, Chinese Academy of Sciences), Jiandong Liu (0000-0003-0035-3570, Chinese Academy of Meteorological Sciences)
Year2022
Volume17
Issue12
Pages124043-124043
Publication date2022-12-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEnvironmental Research Letters (JOURNAL)
Journal identifiersISSN: 1748-9326 • E-ISSN: 1748-9326
PublisherIOP Publishing (PUBLISHER • GB)
DOI10.1088/1748-9326/aca8be
OpenAlexW4312099124
LanguageEN
References cited53

Vegetation greening in China has been extensively examined, but little is known about its seasonal characteristics and its association with soil moisture (SM) and temperature changes. Using high-resolution (0.1°, 8 d) datasets of leaf area index (LAI), together with SM, soil temperature (ST) datasets, and the dominance analysis method, this study is designed to detect seasonal vegetation changes across China during 1981–2018 and its links to climate change. The results show that 56.8% of land area across China experienced a greening trend while 6.6% browning trend through 1981–2018. LAI increasing area expanded to a maximum of 59.3% in spring and the decreasing area reached a maximum of 10.6% in autumn. Spring increases in LAI in main vegetation regions were significantly correlated with positive ST anomalies, while autumn decreases in LAI except sparsely vegetated regions were correlated with negative SM anomalies. Combined SM and temperature anomalies explain 10.9% of the observed LAI changes, which is 4 times larger than that directly explained by precipitation and surface air temperature (2.7%). The warming of soil under climate change was driving the LAI increases, while drying was largely responsible for LAI decreases. These findings provide further evidence of climate change impacts on regional ecosystems and highlight the importance of soil heat and water conditions in translating global warming signals

Agronomy · Atmospheric sciences · Climate change · Climatology · Dominance (genetics · Ecosystem · Geography · Global warming · Greening · Leaf area index · Meteorology · Physical geography · Precipitation · Vegetation (pathology · Water content · Ecology and Vegetation Dynamics Studies · Environmental Science · Plant Water Relations and Carbon Dynamics · Remote Sensing in Agriculture · Ecology · Geology

  • Land-use/land-cover change and ecosystem service provision in China

    Open Access•Wei Song, Xiangzheng Deng•The Science of The Total…•2017

  • Characteristics, drivers and feedbacks of global greening

    Open Access•Shilong Piao, Xuhui Wang et al.•Nature Reviews Earth & Environment•2019

  • Nonparametric Tests Against Trend

    Henry B Mann•Econometrica•1945

  • ERA5-Land

    Open Access•Joaquín Muñoz‐Sabater, Emanuel Dutra et al.•Earth System Science Data•2021

  • The ERA5 global reanalysis

    Open Access•Hans Hersbach, Bill Bell et al.•Quarterly Journal of the Royal…•2020

  • Human Domination of Earth's Ecosystems

    Open Access•Peter M Vitousek, H A Mooney et al.•Science•1997

  • Natural and anthropogenic drivers of the lost groundwater from the Ganga River basin

    Open Access•Swarup Dangar, Vimal Mishra•Environmental Research Letters•2021

  • China and India lead in greening of the world through land-use management

    Open Access•Chi Chen, Taejin Park et al.•Nature Sustainability•2019

  • Dominance analysis

    David V Budescu•Psychological Bulletin•1993

Citation velocityhistorical
Highly citedNo

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae