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Synchrony of gross primary productivity resistance and resilience in rapid response to spring excessive precipitation across northern China’s dryland ecosystems

Bibliographic Data

ID15545913
AuthorsXiaojing Li (0000-0002-8473-5594, Northwest Institute of Eco-Environment and Resources, corresponding author), Jutao Zhang (0000-0002-2901-3011, Northwest Institute of Eco-Environment and Resources), Feng Gi (Northwest Institute of Eco-Environment and Resources), Wei Liu (0000-0002-5949-0302, Northwest Institute of Eco-Environment and Resources), Yong Ao (Ministry of Natural Resources), Meng Zhu (0009-0003-3824-4844, Northwest Institute of Eco-Environment and Resources), Xinwei Yin (0009-0005-2828-3270, Northwest Institute of Eco-Environment and Resources), Yuanyuan Xue (0000-0002-6303-1125, Northwest Institute of Eco-Environment and Resources), Yingqing Su (0000-0002-5252-6835, Northwest Institute of Eco-Environment and Resources), Xiaomei Yang (0000-0003-1643-8480, Northwest Institute of Eco-Environment and Resources)
Year2025
Volume20
Issue5
Pages054061-054061
Publication date2025-04-10
Open AccessYes
TypeARTICLE
VenueEnvironmental Research Letters (JOURNAL)
Journal identifiersISSN: 1748-9326 • E-ISSN: 1748-9326
PublisherIOP Publishing (PUBLISHER • GB)
DOI10.1088/1748-9326/adcb55
OpenAlexW4409318444
LanguageEN
References cited1

Spring precipitation directly impacts the growth and development of vegetation in dryland ecosystems, which in turn affects the biomass of the growing season and fundamentally maintains the ecosystem stability. However, the effects of recently frequent variabilities in spring precipitation on ecosystem productivity are still unclear. Here, we investigate the spatiotemporal patterns of precipitation and gross primary productivity (GPP) in the spring, as well as the impact of spring excessive precipitation on GPP over dryland ecosystems in northern China, based on remote sensing datasets of precipitation and GPP at eight-day intervals from 2000 to 2018. We also assess the sensitivity and stability of GPP to spring excessive precipitation. Spring excessive precipitation had a unidirectional driving effect on vegetation growth and an evident lag effect of an eight-day period across more than 87% of the drylands in northern China. This indicates that dryland ecosystems in northern China respond quickly to excessive precipitation in the spring. Vegetation sensitivity to excessive precipitation is the weakest at an aridity index of around 0.1. Drylands with high temperatures and large precipitation exhibit positive sensitivity, strong resistance, and high resilience of vegetation to excessive precipitation. There is a synchronous change between the resistance and resilience of GPP to excessive precipitation. Our results provide an innovative understanding of the interaction mechanism between precipitation variations and dryland ecosystems, offering theoretical support for ecological restoration, sustainable development, and carbon neutrality in dryland regions

Biology · China · Climatology · Ecosystem · Geography · Meteorology · Physical geography · Precipitation · Resilience (materials science · Resistance (ecology · Spring (device · Environmental Science · Plant responses to water stress · Plant Stress Responses and Tolerance · Ecology · Geology

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