Journal
APPLIED GEOGRAPHY
Volume 97, Issue -, Pages 176-183Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.apgeog.2018.06.011
Keywords
Degraded meadows; Natural and anthropogenic influences; Change detection; Spatiotemporal analysis; Remote sensing; Qinghai Province
Categories
Funding
- National Key R & D Program of China [2017YFC0504803, 2016YFC0501903]
- Qinghai Science and Technology Department [2015-SF-117, 2017-HZ-802]
- Qinghai innovation platform construction project [2017-ZJ-Y20]
- National Natural Science Foundation of China [31560668]
- International Science & Technology Cooperation Program of China [2015DFG31870]
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It is important to study the spatial variation of degraded meadows as it can shed light on the influence of natural settings on grassland degradation. Although attention has been paid to the spatiality of grassland degradation in the literature, nobody has assessed the impact of natural environment on meadow degradation quantitatively in relation to human impact. This study aims to overcome this deficiency by assessing the spatial variation of natural and anthropogenic variables influencing degradation of meadows in southern Qinghai Province of West China. After degraded meadows at six sites were mapped from satellite images, their changes over 1976-2015 were detected in ArcGIS. The obtained results indicate degraded meadows increased from 747.73 km(2) in 1976 to 900.01 km(2) (20.36%) by 2015. Spatially, there is a high variability among the six sites, with one site (Dari) contributing more than half of the total change alone. Annual temperature averaged over the preceding three years is the most crucial to change in degraded meadows (R-2 > 70%). However, the exact proportion of explanation varies widely from zero to 92% across the six sites, with most R-2 values falling between 33 and 51%. Such a large variability stems from the differential climate settings. Overall, climate influences on meadow degradation are much stronger than those of anthropogenic activity, namely, overgrazing defined as the discrepancy between the stocking rate and the meadows' theoretical carrying capacity. The latter played a noticeable role in meadow degradation only during certain temporal periods.
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