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Journal of Applied Remote Sensing • Open Access • new

Spatiotemporal variations of forest phenology in the Qinling Mountains and its response to a critical temperature of 10°C
Author(s): Zhao Wang; Chunfang Xue; Wenting Quan; Huijuan He

Paper Abstract

Based on the fifth version MOD09A1 product of NASA LP DAAC (Land Processes Distributed Active Center) from 2001 to 2016, an enhanced vegetation index (EVI) time series dataset in the Qinling Mountains was reconstructed; it was used to extract the plant phenological parameters of the region by employing the maximal slopes of the alteration method and threshold method. The results show that the Whittaker filter method was better than other methods for the reconstruction of shrubland, farmland, and forest in the Qinling Mountains. Based on the reconstructed EVI, the characteristics of vegetation coverage, the start of growth season (SOG), the end of growth season (EOG), and the length of growth season (LOG) in the Qinling Mountains were all analyzed. There was an increasing trend of vegetation coverage in most regions (about 89.93% of the monitored areas) over the Qinling Mountains in the past decades, and the average phenological distribution pattern in the Qinling Mountains was closely related to the local hydrothermal conditions. From the high altitude mountainous areas to the farming areas, the SOG was gradually postponed, the EOG was gradually earlier, and the LOG gradually shortened. Furthermore, the time series variation of SOG, EOG, and LOG from 2001 to 2016 in the Qinling Mountains was also studied. The variation showed that the SOG shifted earlier, which was more prominent in high-altitude areas, while, for some southern and northern foothills altitude below 500 m and a few areas of the eastern Funiu Mountains, the SOG was delayed. The EOG shifted later, which was more apparent in the northern Qinling foothills and mid- to low-altitude areas of the eastern ranges, and the LOG was extended. Finally, the studies of correlation analysis between the plant phenology and a temperature threshold of 10°C showed that global warming was the major factor affecting the phytophenology of the Qinling Mountains, and the effects were concentrated mainly in the 1000- to 2000-m zones of the southern and northern Qinling Mountains. Moreover, the northern Qinling foothills showed a greater response to accumulated temperature than the southern foothills, and the low-altitude area of the eastern Funiu Mountains exhibited the lowest correlation with the accumulated temperature.

Paper Details

Date Published: 16 January 2018
PDF: 15 pages
J. Appl. Rem. Sens. 12(2) 022202 doi: 10.1117/1.JRS.12.022202
Published in: Journal of Applied Remote Sensing Volume 12, Issue 2
Show Author Affiliations
Zhao Wang, Remote Sensing Information Ctr. for Agriculture of Shaanxi Province (China)
Chunfang Xue, Shaanxi Meteorological Bureau, Xi’an (China)
Wenting Quan, Remote Sensing Information Center for Agriculture of Shaanxi Province (China)
Huijuan He, Remote Sensing Information Ctr. for Agriculture of Shaanxi Province (China)

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