Inicio  /  Water  /  Vol: 9 Núm: 7 Par: 0 (2017)  /  Artículo
ARTÍCULO
TITULO

Pixel-Level Spatiotemporal Analyses of Vegetation Fractional Coverage Variation and Its Influential Factors in a Desert Steppe: A Case Study in Inner Mongolia, China

Yifan Song    
Zhongxiao Guo    
Yajing Lu    
Denghua Yan    
Zilong Liao    
Huiwen Liu    
Yingjie Cui    

Resumen

Determining vegetation variation and its influential factors in a desert steppe under the impacts of climate change and human activities is crucial and meaningful for improving the understanding of desertification and taking targeted measures in ecological restoration. As compared to a large spatial scale such as a region or a whole catchment, which are more common in published studies, a micro perspective at the pixel level is provided in this study to investigate the vegetation fractional coverage dynamics and build the correlations between vegetation fractional coverage and its multiple influential factors, including precipitation, temperature, soil water, groundwater and human activities in a desert steppe region in the Inner Mongolia Autonomous Region, China. The average vegetation fractional coverage in August for the years 2000?2011 is 0.38 in the study area. The interaction of rain (R = 0.80) and heat (R = -0.76) significantly determines the growth and distribution of the vegetation in the study area. Besides, the effects of some other factors on vegetation fractional coverage should not be neglected, including groundwater (R = 0.04), available water content of soil (R = 0.23) and livestock density (R = 0.28). From the perspective of centre dynamics for the years 2000?2011, the annual precipitation centre has better synchronism with the vegetation centre, while the movement of the temperature centre is more stable.

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