The phenological characteristics and climatic response of vegetation in the Xinjiang Tianshan Mountains, China

doi:10.12006/j.issn.1673-1719.2019.094

Abstract

Abstract:

Based on MODIS MCD12Q2 data, this paper applied trend analysis and correlation analysis methods, combined with remote sensing precipitation and temperature data products, to explore the temporal and spatial variation of vegetation phenology and its relative factors in the Xinjiang Tianshan Mountains from 2001 to 2014. The start of season (SOS) at the Xinjiang Tianshan Mountains showed obvious vertical distribution characteristics, centralized from 10 March to the 15 May. The 14-year average of SOS over the whole area was 20 March; the end of season (EOS) had zonal distribution characteristics, centralized from 1 October to 25 October. The SOS in the Xinjiang Tianshan Mountains showed insignificant delay trend in the mountainous area, and insignificant advancing trend in the oasis and plain areas. The EOS presented insignificant advanced trend. Precipitation and temperature are important factors influencing the phenological period of Tianshan vegetation. The beginning of phenology is most affected by the spring temperature, and it is also affected by the winter precipitation in the previous year, which is positively correlated with precipitation and negatively correlated with temperature. Summer and autumn precipitation are the main influencing factors of the EOS of vegetation in Tianshan Mountains.

Key words: Vegetation phenology, Spatiotemporal change, MCD12Q2, Tianshan Mountains in Xinjiang, Influence factor

DILIXIATI Madiniyati,RUSULI Yusufujiang,NAMAITI Hairiguli,AIKEMU Roukeyamu. The phenological characteristics and climatic response of vegetation in the Xinjiang Tianshan Mountains, China[J]. Climate Change Research, 2019, 15(6): 624-632.

Figures/Tables 8

Fig. 1 Sketch map of the research area

Table 1 Basic information of meteorological observation stations in the Xinjiang Tianshan Mountains

Table 2 The results of verification of the surface temperature and the accuracy of MODIS LST data in 2001-2014

Fig. 2 Spatial distribution of start of season (SOS) and end of season (EOS) during 2001-2014

Fig. 3 Relationship between SOS, EOS and altitude

Fig. 4 Trend of annual SOS (a) and EOS (b) from 2001 to 2014

Fig. 5 The correlation coefficients between SOS and different climatic factors

Fig. 6 The correlation coefficients between EOS and different climatic factors

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