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Evaluating the vegetation growing season changes in the arid region of northwestern China_农业资源研究中心

农业资源研究中心 辅仁网/2017-07-23

论文题目: Evaluating the vegetation growing season changes in the arid region of northwestern China

论文编号:
作者: Yanfang Wang(王彦芳), Yanjun Shen(沈彦俊,通讯作者), Fubao Sun(孙福宝), Yaning Chen(陈亚宁)
刊物名称: Theoretical and Applied Climatology
卷期页码: In press,, 影响因子:1.759,
发表年度: 2014
DOI: http://link.springer.com/article/10.1007/s00704-013-1078-7
摘要:

Temperature has long been accepted as the major controlling factor in determining vegetation phenology in the middle and higher latitudes. The influence of water availability is often overlooked even in arid and semi-arid environments. We compared vegetation phenology metrics derived from both in situ temperature and satellite-based normalized difference vegetation index (NDVI) observations from 1982 to 2006 by an example of the arid region of northwestern China. From the satellite-based results, it was found the start of the growing season (SOS) advanced by 0.37daysyear?1and the end of the growing season (EOS) delayed by 0.61daysyear?1in Southern Xinjiang over 25years. In the Tianshan Mountains, the SOS advanced by 0.35daysyear?1and the EOS delayed by 0.31daysyear?1. There were almost no changes in Northern Xinjiang. Compared with satellite-based results, those estimates based on temperature contain less details of spatial variability of vegetation phenology. Interestingly, they show different and at times reversed spatial patterns from the satellite results arising from water limitation. Phenology metrics derived from temperature and NDVI conclude that water limitation of onset of the growing season is more severe than the cessation. Phenology spatial patterns of four oases in Southern Xingjiang show that, on average, there is a delay of the SOS of 1.6days/10km of distance from the mountain outlet stations. Our results underline the importance of water availability in determining the vegetation phenology in arid regions and can lead to important consequences in interpreting the possible change of vegetation phenology with climate.


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