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Climate 2017, 5(2), 37; doi:10.3390/cli5020037

Evaluating Vegetation Growing Season Changes in Northeastern China by Using GIMMS LAI3g Data

1
State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China
2
Environmental Monitoring Center of Hebei Province, Shijiazhuang 050037, China
3
Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
4
State Key Laboratory of Resources and Environmental Information System, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
These authors contributed equally to this work.
*
Author to whom correspondence should be addressed.
Academic Editor: Maoyi Huang
Received: 29 November 2016 / Revised: 8 May 2017 / Accepted: 17 May 2017 / Published: 22 May 2017
(This article belongs to the Special Issue Dynamics of Land-Use/Cover Change under a Changing Climate)
View Full-Text   |   Download PDF [1736 KB, uploaded 22 May 2017]   |  

Abstract

Accurate 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
Keywords: vegetation growth; vegetation phenology; start of the growing season (SOS); end of the growing season (EOS); China Meteorological Data (CMD); significant advanced trend (SAT); significant delayed trend (SDT); nonsignificant trend (NT); Global Inventory Monitoring and Modeling Studies Leaf Area Index third-generation (GIMMS LAI3g) vegetation growth; vegetation phenology; start of the growing season (SOS); end of the growing season (EOS); China Meteorological Data (CMD); significant advanced trend (SAT); significant delayed trend (SDT); nonsignificant trend (NT); Global Inventory Monitoring and Modeling Studies Leaf Area Index third-generation (GIMMS LAI3g)
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

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.

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