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Spatial and temporal variations of wind erosion climatic erosivity in the farming-pastoral zone of Northern China

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Abstract

Wind erosion climatic erosivity is an important parameter to assess the possible effects of climatic conditions on wind erosion. In this paper, the wind erosion climatic factor (C-factor), which was used to quantify the wind erosion climatic erosivity, was calculated for the period 1960–2014 based on monthly meteorological data collected from 101 stations in the farming-pastoral zone of Northern China. The Mann-Kendall (M-K) test, trend analysis, and geostatistical analysis methods were used to explore the spatial and temporal characteristics of the wind erosion climatic erosivity in this region. The result suggests that the annual C-factor, with a maximum of 76.05 in 1969 and a minimum of 26.57 in 2007, has a significant decreasing trend over the past 55 years. Strong seasonality in the C-factor was found, with the highest value in spring, which accounts for a significant proportion of the annual C-factor (41.46%). However, the coefficient of variation of the seasonal C-factor reaches a maximum in winter and a minimum in spring. The mean annual C-factor varies substantially across the region. Areas with high values of the mean annual C-factor (C ≥ 100) are located in Ulanqab and Dingxi, while areas with low values (C ≤ 10) lie in Lanzhou, Linxia, Dingxi, Xining, and Chengde. Spatial analysis on the trend of the C-factor reveals that 81% of the stations show statistically significant decreases at a 90% confidence level. An examination of the concentration ratio of the C-factor shows that the wind erosion climatic erosivity is concentrated in spring, especially in April, which makes this period particularly important for implementing soil conservation measures.

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References

  • Arijit G, Ranjana RC, Prateek S (2015) Analysis of trend of the precipitation data: a case study of Kangra district. Himachal Pradesh Int J of Res–Granthaalayah 9:87–95

    Google Scholar 

  • Borges PDA, Franke J, Da Anunciacao YMT, Weiss H, Bernhofer C (2016) Comparison of spatial interpolation methods for the estimation of precipitation distribution in Distrito Federal, Brazil. Theor Appl Climatol 123:335–348

    Article  Google Scholar 

  • Callot Y, Marticorena B, Bergametti G (2000) Geomorphologic approach for modeling the surface features of arid environments in a model of dust emissions: application to the Sahara Desert. Geodin Acta 5:245–270

    Article  Google Scholar 

  • Cheng TW, Cheng WX (1980) The methods of determination and calculation of evaporation and potential evapotranspiration in farmland. Geographical collection (No. 12). Beijing Science Press(in Chinese)

  • Chepil WS (1956) Influences of moisture on erodibility of soil by wind. Soil Sci Soc Am Proc 20:288–292

    Article  Google Scholar 

  • Chepil WS (1960) Conversion of relative field erodibility to annual soil loss by wind. Soil Sci Soc Am Proc 24:143–145

    Article  Google Scholar 

  • Chepil WS, Woodruff NP (1954) Estimations of wind erodibility of field surfaces. J soil water Conserv 9:257–265&285

    Google Scholar 

  • Chepil WS, Woodruff NP (1963) The physics of wind erosion and its control. Adv Agron 15:211–302

    Article  Google Scholar 

  • Chepil WS, Siddoway FH, Armbrust DV (1962) Climatic factor for estimating wind erodibility of farm fields. J Soil Water Conserv 17:162–165

    Google Scholar 

  • Ci L, Wu B (1997) Climate type and the potential extent determination of desertification in China. J Desert Res 17:107–112 in Chinese

    Google Scholar 

  • Deng X, Zhan J (2004) Scale-effect analysis of LUCC driving forces in the farming-pasturing interlocked area in Northern China. Geogr Geo-Inform Sci 20:64–68 in Chinese

    Google Scholar 

  • Dong Y, Kang G (1994) Study on the wind erosion climatic erosivity in arid and semi-arid areas in China. J Soil Water Conserv 8:1–7 in Chinese

    Google Scholar 

  • Dong M, Jiang Y, Ren F, Wu Z (2010) Variation trend and catastrophe change of air temperature in the farming-pastoral ecotone of Nothern China during recent 50 years. J Desert Res 30:926–932 (in Chinese)

    Google Scholar 

  • Du H, Yan J, Wang P (2015) The drought disaster and its response to the warming-drying climate in the farming-pastoral ecotones in northern China. J Arid Land Res Environ 29:124–128 (in Chinese)

    Google Scholar 

  • FAO (1979) A provisional methodology for soil degradation assessment. Food and Agriculture Organization of the United Nations, Rome

    Google Scholar 

  • Hu L, Zhang H, Chen F (2006) Causes and countermeasures of wind erosion in the farming-pastoral ecotones in Northern China. Soil and Water Conservation in China 5:9–11 in Chinese

    Google Scholar 

  • Jang C, Liu C (2004) Geostatistical analysis and conditional simulation for estimating the spatial variability of hydraulic conductivity in the Choushui River alluvial fan. Taiwan Hydrol Process 18:1333–1350

    Article  Google Scholar 

  • Johansson B, Chen D (2003) The influence of wind and topography on precipitation distribution in Sweden: statistical analysis and modelling. Int J Climatol 23:1523–1535

    Article  Google Scholar 

  • Kendall MG (1955) Rank correlation methods, 2nd edn. C. Griffin, London

    Google Scholar 

  • Kholghi SM, Hosseini M (2009) Comparison of groundwater level estimation using neuro-fuzzy and ordinary kriging. Environ Model Assess 14:729–737

    Article  Google Scholar 

  • Li M, Yan J, Ding C (2014) Climate change and response characteristics of drought and flood in farming-pastoral Ecotone of Northern China. Bull Soil and Water Conservation 34:304–308 (in Chinese)

    Google Scholar 

  • Liao Y, Fu Z, Jia Z, Wang L (2002) Causes and technical systems for prevention of land desertification in the interlock zone of farming and pasturing of North China. Agric Res Arid Areas 20:34–37 in Chinese

    Google Scholar 

  • Liu J, Gao J, Han Y, Wang X (2008) Strategy and counter measure for sustainable development northern agriculture-pasturage ecotone. China Dev 8:89–94 (In Chinese)

    Google Scholar 

  • Liu Y, Yan J, Cen M, Liu Z, Li Y (2016a) A graded index for evaluating precipitation heterogeneity in China. J Geogr Sci 26:673–693

    Article  Google Scholar 

  • Liu Y, Yan J, Cen M (2016b) The relationship between precipitation heterogeneity and meteorological drought/flood in China. J Meteorol Res 30:758–770

    Article  Google Scholar 

  • Lyles L (1983) Erosive wind energy distributions and climatic factors for the west. J Soil Water Conserv 38:106–109

    Google Scholar 

  • Mann HB (1945) Nonparametric tests against trend. Econometrica 13:245–259

    Article  Google Scholar 

  • Meusburger K, Steel A, Panagos P, Montanarella L, Alewell C (2012) Spatial and temporal variability of rainfall erosivity factor for Switzerland. Hydrol Earth Syst Sci 16:167–177

    Article  Google Scholar 

  • Oldeman LR, Hakkeling RTA, Sombroek WG (1990) World map of the status of human-induced soil degradation: an explanatory note. ISRIC, Wageningen /UNEP, Nairobi. 27 pp. 3 maps

  • Peterson GA, Unger PW, Payne WA (2006) Dryland agriculture, second edn. ASA-CSSA-SSSA, Madison Wilconsin. USA

  • Prospero JM, Ginoux P, Torres O (2002) Environmental characterization of global sources of atmospheric soil dust identified with the Nimbus 7 total ozone mapping spectrometer (TOMS) absorbing aerosol product. Rev Geophys 40:1–31

    Article  Google Scholar 

  • Rehman S (2013) Long-term wind speed analysis and detection of its trends using Mann–Kendall test and linear regression method. Arab J Sci Eng 38:421–437

    Article  Google Scholar 

  • Ren G, Guo J, Xu M, Chu Z, Zhang L, Zou X, Li Q, Liu X (2005) Climate changes of China’s mainland over the past half century. Acta Meteorologica Sinica 63:942–956 (in Chinese)

    Google Scholar 

  • Sen PK (1968) Estimates of the regression coefficients based on Kendall’s tau. J Am Stat Assoc 63:1379–1389

    Article  Google Scholar 

  • Shao Y (2008) Physics and Modelling of wind erosion. Springer, Netherlands

    Google Scholar 

  • Skidmore EL (1986) Wind erosion climatic erosivity. Climate Change 9:195–208

    Article  Google Scholar 

  • Skidmore EL, Woodruff NP (1968) Wind erosion forces in the United States and their use in predicting soil loss. Agriculture Handbook No. 346. US Department of Agriculture Washington D. C

  • Tatarko J, Sporcic MA, Skidmore EL (2013) A history of wind erosion prediction models in the United States Department of Agriculture prior to the wind erosion prediction system. Aeolian Res 10:3–8

    Article  Google Scholar 

  • Theil H (1950) A rank invariant method of linear and polynomial regression analysis, part 3. Neth Akad van Wettenschappen Proc 53:1397–1412

    Google Scholar 

  • Thornthwaite CW (1931) Climates of North America according to a new classification. Geogr Rev 21:633–655

    Article  Google Scholar 

  • Tian L (2012) Studies on characteristics and impact factors of the surface wind speed changes in the Northern China. Dissertation of Lanzhou University, Lanzhou

    Google Scholar 

  • Turkes M (1996) Spatial and temporal analysis of annual rainfall variations in Turkey. Int J Climatol 16:1057–1076

    Article  Google Scholar 

  • Türkeş M, Koç T, Sariş F (2009) Spatiotemporal variability of precipitation total series over Turkey. Int J Climatol 29(8):1056–1074

    Article  Google Scholar 

  • United Nation Environment Program (UNEP) and International Soil Research Information Centre (ISRIC). (1990). World map of the status of human induced soil degradation

  • Wang J, Xu X, Liu P (1999) Land use and land carrying capacity in ecotone between agriculture and animal huabandry in Northern China. Res Sci 21:19–24 8 (in Chinese)

    Google Scholar 

  • Woodruff NP, Siddoway FH (1965) A wind erosion equation. Soil Sci Soc Am Proc 29:602–608

    Article  Google Scholar 

  • Yuan H, Wulantuya HQ (2014) Research progress of definition of farming-pastoral zone in northern China. J Inner Mongolia For Sci Technol 40:38–43 (In Chinese)

    Google Scholar 

  • Yue S, Pilon P, Cavadias G (2002) Power of the Mann–Kendall and Spearman’s rho tests for detecting monotonic trends in hydrological series. J Hydrol 259:254–271

    Article  Google Scholar 

  • Yue S, Pilon P, Phinney B (2003) Canadian stream flow trend detection: impacts of serial and cross-correlation. Hydrolog Sci J 48:51–63

    Article  Google Scholar 

  • Zhang W (2003) Spatial and temporal distribution of rainfall erosivity in agro-pastoral ecotone of Northern China. Prog Nat Sci 13:651–654 (in Chinese)

    Google Scholar 

  • Zhang L, Qian Y (2003) Annual distribution features of precipitation in China and their interannual variations. Acta Meteorol Sin 17:146–163

    Google Scholar 

  • Zhang L, Qian Y (2004) A study on the feature of precipitation concentration and its relation to flood-producing in the Yangtze River valley of China. Chin J Geophys 47:622–630 (in Chinese)

    Google Scholar 

  • Zhang Z, Liu R, Qian H, Chen J, Zhang X (2013) Analysis of rainfall variation over the past 55 years in Guyuan city. China JECET 2:640–649

    Google Scholar 

  • Zhao H, Zhao X, Zhang T (2000) Causes, processes and countermeasures of desertification in the interlocked agro-pastoral area of North China. J Desert Res 20(Suppl.1):22–28 (In Chinese)

    Google Scholar 

  • Zhao H, Zhao X, Zhang T, Zhou R (2002) Boundary line on agro-pasture zigzag zone in North China and its problems on eco-environment. Adv Earth Sci 17:739–746 (In Chinese)

    Google Scholar 

  • Zou Y, Zhang Z, Zhou Q, Zhao X (2003) Land use change dynamics spatial pattern in ecotone between agriculture and animal husbandry and its driving force analysis. J Nat Res 18:222–227 (In Chinese)

    Google Scholar 

Download references

Funding

This research was partially supported by the Natural Science Foundation of Jiangsu Province (Grants No BK20160953). The meteorological data was provided by National Meteorological Information Center of China Meteorological Administration. Their generous supports are greatly appreciated.

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Correspondence to Shuping Yue.

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Yue, S., Yang, R., Yan, Y. et al. Spatial and temporal variations of wind erosion climatic erosivity in the farming-pastoral zone of Northern China. Theor Appl Climatol 135, 1339–1348 (2019). https://doi.org/10.1007/s00704-018-2439-z

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