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Spatial and Temporal Dynamics in Vegetation Greenness and Its Response to Climate Change in the Tarim River Basin, China

Bibliographic Data

ID22033487
AuthorsKai Jin (0000-0002-4071-7415, Qingdao Agricultural University), Yansong Jin (0009-0004-7046-8028, Qingdao Agricultural University), Cuijin Li (Qingdao Agricultural University, corresponding author), Lin Li (0000-0003-2896-7988, Xinjiang Agricultural University)
Year2024
Volume13
Issue9
Pages304
Publication date2024-08-26
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueISPRS International Journal of Geo-Information (JOURNAL)
Journal identifiersISSN: 2220-9964 • E-ISSN: 2220-9964
PublisherMDPI AG (PUBLISHER • IT)
DOI10.3390/ijgi13090304
OpenAlexW4401894649
LanguageEN
Citations received1
References cited55

Vegetation in ecologically sensitive regions has experienced significant alterations due to global climate change. The underlying mechanisms remain somewhat obscure owing to the spatial heterogeneity of influencing factors, particularly in the Tarim River Basin (TRB) in China. Therefore, this study targets the TRB, analyzing the spatial and temporal dynamics of vegetation greenness and its climatic determinants across multiple spatial scales. Utilizing Normalized Difference Vegetation Index (NDVI) data, vegetation greenness trends over the past 23 years were assessed, with future projections based on the Hurst exponent. Partial correlation and multiple linear regression analyses were employed to correlate NDVI with temperature (TMP), precipitation (PRE), and potential evapotranspiration (PET), elucidating NDVI’s response to climatic variations. Results revealed that from 2000 to 2022, 90.1% of the TRB exhibited an increase in NDVI, with a significant overall trend of 0.032/decade (p

Arid · Climate change · Climatology · Evapotranspiration · Geography · Greening · Meteorology · Normalized Difference Vegetation Index · Physical geography · Precipitation · Spatial heterogeneity · Structural basin · Ecology and Vegetation Dynamics Studies · Environmental Science · Land Use and Ecosystem Services · Remote Sensing in Agriculture · Ecology · Geology

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Unique citing works1
Citations per year1
Citation span2026 - 2026 (1)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 1

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