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Water 2017, 9(7), 478; https://doi.org/10.3390/w9070478

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

1
State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, Department of Water Resources for Pastoral Area, China Institute of Water Resources and Hydropower Research, Hohhot 010020, China
2
State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China
3
Power China Beijing Engineering Corporation Limited, Beijing 100024, China
*
Author to whom correspondence should be addressed.
Received: 23 April 2017 / Revised: 23 June 2017 / Accepted: 27 June 2017 / Published: 29 June 2017
(This article belongs to the Special Issue Water-Soil-Vegetation Dynamic Interactions in Changing Climate)
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Abstract

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. View Full-Text
Keywords: vegetation fractional coverage; influential factors; Pixel-level; correlation coefficient; desert steppe vegetation fractional coverage; influential factors; Pixel-level; correlation coefficient; desert steppe
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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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Song, Y.; Guo, Z.; Lu, Y.; Yan, D.; Liao, Z.; Liu, H.; Cui, Y. Pixel-Level Spatiotemporal Analyses of Vegetation Fractional Coverage Variation and Its Influential Factors in a Desert Steppe: A Case Study in Inner Mongolia, China. Water 2017, 9, 478.

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