Evaluating Vegetation Growing Season Changes in Northeastern China by Using GIMMS LAI3g Data
AbstractAccurate understanding and detecting of vegetation growth change is essential for providing suitable management strategies for ecosystems. Several studies using satellite based vegetation indices have demonstrated changes of vegetation growth and phenology. Temperature is considered a major determinant of vegetation phenology. To accurately detect the response of vegetation to climate variations, this study investigated the vegetation phenology in the northeast (NE) region of China by using in-situ temperature observations and satellite-based leaf area index estimates (LAI3g) for the period 1982–2011. Firstly, a spatial distribution of the averaged phenology over the 30 years was obtained. This distribution showed that a tendency for an early start of the growing season (SoS) and late end of the growing season (EoS) was observed towards of the southeastern part of NE China, with the late SoS and early EoS occurring at higher latitudes. Secondly, the temperature-based and satellite-based phenological trends were analyzed. Then the significant advanced trend (SAT), significant delayed trend (SDT), and nonsignificant trend (NT) of SOS and EOS in NE region of China were detected by using the Mann-Kendall trend test approach. Finally, changes in phenological trends were investigated by using the temperature-based and satellite-based phenology method. A comparison of the phenological trend shows that there are some significant advanced trends of SOS and significant delayed trends of EOS in the NE region of China over 30 years. The results of this study can provide important support of the view that a lengthening of growing season duration occurred at the northern high latitudes in recent decades. View Full-Text
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Ni, X.; Xie, J.; Zhou, Y.; Gao, X.; Ding, L. Evaluating Vegetation Growing Season Changes in Northeastern China by Using GIMMS LAI3g Data. Climate 2017, 5, 37.
Ni X, Xie J, Zhou Y, Gao X, Ding L. Evaluating Vegetation Growing Season Changes in Northeastern China by Using GIMMS LAI3g Data. Climate. 2017; 5(2):37.Chicago/Turabian Style
Ni, Xiliang; Xie, Jianfeng; Zhou, Yuke; Gao, Xizhang; Ding, Lin. 2017. "Evaluating Vegetation Growing Season Changes in Northeastern China by Using GIMMS LAI3g Data." Climate 5, no. 2: 37.
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