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Assessing the response of vegetation photosynthesis to meteorological drought across northern China

Bibliographic Data

ID21648968
AuthorsHao‐jie Xu (0000-0002-6389-7084, Ministry of Agriculture and Rural Affairs, corresponding author), Xinping Wang (0009-0000-4686-4806, Chinese Academy of Sciences), Xin‐ping Wang (0000-0002-7052-9044, Northwest Institute of Eco‐Environment and Resources Chinese Academy of Sciences Lanzhou PR China), Chuanyan Zhao (0009-0000-5627-3858, Ministry of Agriculture and Rural Affairs), Chuan‐yan Zhao (State Key Laboratory of Grassland Agro‐ecosystems; Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs; Engineering Research Center of Grassland Industry, Ministry of Education; College of Pastoral Agriculture Science and Technology Lanzhou University Lanzhou PR China), Xuemei Yang (0009-0007-5350-9432, Gansu Desert Control Research Institute), Xue‐mei Yang (State Key Laboratory Breeding Base of Desertification and Aeolian Sand Disaster Combating Gansu Desert Control Research Institute Lanzhou PR China)
Year2021
Volume32
Issue1
Pages20-34
Publication date2021-01-15
Open AccessYes
TypeARTICLE
VenueLand Degradation and Development (JOURNAL)
Journal identifiersISSN: 1085-3278 • E-ISSN: 1099-145X
PublisherWiley (PUBLISHER • GB)
DOI10.1002/ldr.3701
OpenAlexW3037563608
LanguageEN
Citations received3
References cited62

Satellite‐based solar‐induced chlorophyll fluorescence (SIF) has the potential to offer early detection and accurate impact assessment of meteorological drought on vegetation photosynthesis. However, how the response of satellite SIF to meteorological drought varies under different climatic conditions and biome types remains poorly understood. In this study, we determined the drought time‐scale at which the vegetation photosynthesis response was highest based on the standardized precipitation evapotranspiration index (SPEI) and satellite SIF and examined how the sensitivity of SIF signals from different ecosystems to drought varied along an aridity gradient in northern China. The results showed that spatial variability of the annual maximum SIF was constrained by wetness conditions and biome types. Annual maximum SIF was positively correlated with SPEI in 57.9% of vegetated lands ( p p

Arid · Aridity index · Atmospheric sciences · Biology · Biome · Climatology · Ecosystem · Evapotranspiration · Geography · Leaf area index · Meteorology · Normalized Difference Vegetation Index · Physical geography · Precipitation · Climate variability and models · Environmental Science · Plant Water Relations and Carbon Dynamics · Remote Sensing in Agriculture · Ecology · Geology

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Citations per year0.5
Citation span2020 - 2023 (4)
Highly citedNo

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