| Literature DB >> 28638114 |
Xunming Wang1,2, Hong Cheng3, Hui Li4, Junpeng Lou5, Ting Hua4, Wenbin Liu5, Linlin Jiao5, Wenyong Ma5, Danfeng Li5, Bingqi Zhu5.
Abstract
The temporal trends and key driving forces of desertification in the Mu Us Desert are representatives of most arid regions of Asia with a high risk of desertification. We analyzed the significance of Aeolian transport on desertification in the Mu Us Desert by field investigations, sampling, wind tunnel experiments, particle size and nutrient measurements, and statistics on aeolian transport potentials. The results showed that high intensities of aeolian processes may result in low differences in aeolian transport despite differences in the underlying sediments. When high desertification occurred in the 1970s, the annual losses of the ammonium N, nitrate N, available K, and available P were approximately 116, 312, 46,436, and 1,251 kg km-2, respectively. After 2010, the losses were only 8, 20, 3,208, and 84 kg km-2, which were generally only 6.7% of those in the 1970s. The results showed that although human activity may trigger desertification, the dramatic decline of aeolian transport and low nutrient loss may be the key driving forces for the occurrence of rehabilitation in this region.Entities:
Year: 2017 PMID: 28638114 PMCID: PMC5479821 DOI: 10.1038/s41598-017-04363-8
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Figure 1Locations of the Mu Us Desert, sample sites and land uses. The areas outlined in grey indicate areas affected by desertification from the mid-1970s to 2010. The black and blue dots indicate the locations of the sampling sites and meteorological stations, respectively, used in this study (The figure was finished using Arcgis software (version 10.1, ESRI Inc., Redlands, California, USA), which can be downloaded from the internal network of Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences.).
Figure 2Scatterplots for the relationship of particle size fractions of surface soil before and after wind tunnel experiments.
Figure 3Average aeolian transport (g m2 s−1) (A) and the coefficient of variation (CV, B) in wind tunnel experiments under different wind velocities (m s−1). The CV is expressed as , where SD and Mean refer to the standard deviation and average, respectively.
Figure 4Temporal variation in aeolian transport (104 ton km−2) in the Mu Us Desert.
Figure 5Nutrient loss under different wind velocities.
Figure 6Nutrient loss under different wind velocities in the Mu Us Desert during different periods.