Spatial and temporal variations in the end date of the vegetation growing season throughout the Qinghai–Tibetan Plateau from 1982 to 2011

•The EGS was extracted from the AVHRR LAI dataset.•The EGS spatiotemporal variations across the Qinghai–Tibetan Plateau were investigated.•The EGS significantly correlated with the vegetation types, altitude and climate.•The trends of EGS annual changes varied with time. The spatial and temporal var...

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Bibliographic Details
Published in:Agricultural and forest meteorology 2014-06, Vol.189-190, p.81-90
Main Authors: Che, Mingliang, Chen, Baozhang, Innes, John L., Wang, Guangyu, Dou, Xianming, Zhou, Tianmo, Zhang, Huifang, Yan, Jianwu, Xu, Guang, Zhao, Hongwei
Format: Article
Language:English
Subjects:
Agricultural and forest climatology and meteorology. Irrigation. Drainage
Agronomy. Soil science and plant productions
Annual precipitation
Autumn phenology
AVHRR LAI
Biological and medical sciences
Correlation
End date of the vegetation growing season (EGS)
Fundamental and applied biological sciences. Psychology
General agronomy. Plant production
Leaf area index
Precipitation
Qinghai–Tibetan Plateau
Seasons
Spatial–temporal variation
Temporal logic
Trends
Vegetation
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Summary:•The EGS was extracted from the AVHRR LAI dataset.•The EGS spatiotemporal variations across the Qinghai–Tibetan Plateau were investigated.•The EGS significantly correlated with the vegetation types, altitude and climate.•The trends of EGS annual changes varied with time. The spatial and temporal variations in the end date of the vegetation growing season (EGS) and their relationships with climate factors across the Qinghai–Tibetan Plateau yet have not been well researched. In this study, we used the rate of the change in the curvature of the S-curve function which integrated a logistic function and an asymmetric Gaussian function and showed a better performance for fitting the LAI (leaf area index) data to extract the EGS from a long-term time series of AVHRR (advanced very high resolution radiometer) LAI data. The spatial distribution pattern of the EGS averaged from 1982 to 2011 presented a gradual decrease from the southeast to northwest plateau. The various vegetation types showed different phenological EGS timing. The EGS occurred earlier with increasing altitude (slope=−3daykm−1, p
ISSN:0168-1923
1873-2240
DOI:10.1016/j.agrformet.2014.01.004