Abstract
Soil organic matter (SOM) and total nitrogen (STN) play an important role in terrestrial ecosystems. Knowledge of their regional distribution and dynamical change is an important basis for reasonable utilizing and protecting soil resources. However, very little attention has been paid to this in cultivated land of the southern Loess Plateau. In this study, Heyang County, an agricultural county located in the southern Loess Plateau, was chosen as study area. SOM and STN data were collected in 1983 and 2006. Spatial autocorrelation, geostatistics, and fractal methods were used to analyze their spatio-temporal variability. Results showed that mean contents of SOM and STN had significantly increased in the past 23 years. A relatively more increase was found in the southeast and relatively less increase in the northern half. Compared with those in 1983, SOM and STN contents in 2006 showed a higher nugget/sill ratio, shorter spatial autocorrelation distance, and larger fractal dimension, indicating that the spatial dependence of SOM and STN showed a weakening trend and a stronger spatial variability of the 2006 dataset. The main factors affecting SOM and STN changes were topography, soil type, and farm management practices. But, more and more impacts were derived from anthropogenic activities.
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References
Agricultural Chemistry Committee of China (1983) Conventional methods of soil and agricultural chemistry analysis. Science Press, Beijing (in Chinese)
Batjes N (1996) Total carbon and nitrogen in the soils of the world. Eur J Soil Sci 47:151–163. doi:10.1111/j.1365-2389.1996.tb01386.x
Box G, Cox D (1964) An analysis of transformation. J R Stat Soc 26:211–252
Burrough P (1983) Multiscale sources of spatial variation in soil. I. The application of fractal concepts to nested levels of soil variation. J Soil Sci 34:577–597. doi:10.1111/j.1365-2389.1983.tb01057.x
Cambardella C, Moorman T, Parkin T, Karlen D, Novak J, Turco R, Konopka A (1994) Field-scale variability of soil properties in central Iowa soils. Soil Sci Soc Am J 58:1501–1511. doi:10.2136/sssaj1994.03615995005800050033x
Caruso T, Migliorini M, Bucci C, Bargagli R (2009) Spatial patterns and autocorrelation in the response of microarthropods to soil pollutants: the example of oribatid mites in an abandoned mining and smelting area. Environ Pollut 157:2939–2948. doi:10.1016/j.envpol.2009.06.010
Cerri C, Bernoux M, Chaplot V, Volkoff B, Victoria R, Melillo J, Paustian K, Cerri C (2004) Assessment of soil property spatial variation in an Amazon pasture: basis for selecting an agronomic experimental area. Geoderma 123:51–68. doi:10.1016/j.geoderma.2004.01.027
Chen T, Liu X, Zhu M, Zhao K, Wu J, Xu J, Huang P (2008) Identification of trace element sources and associated risk assessment in vegetable soils of the urban–rural transitional area of Hangzhou, China. Environ Pollut 151:67–78. doi:10.1016/j.envpol.2007.03.004
Chen T, Liu X, Li X, Zhao K, Zhang J, Xu J, Shi J, Randy RA (2009) Heavy metal sources identification and sampling uncertainty analysis in a field-scale vegetable soil of Hangzhou, China. Environ Pollut 157:1003–1010. doi:10.1016/j.envpol.2008.10.011
Chen H, Zhang W, Wang K, Hou Y (2012) Soil organic carbon and total nitrogen as affected by land use types in karst and non-karst areas of northwest Guangxi, China. J Sci Food Agric 92:1086–1093. doi:10.1002/jsfa.4591
Collard S, Zammit C (2006) Effects of land-use intensification on soil carbon and ecosystem services in Brigalow (Acacia harpophylla) landscapes of southeast Queensland, Australia. Agric Ecosyst Environ 117:185–194. doi:10.1016/j.agee.2006.04.004
Croft H, Kuhn N, Anderson K (2012) On the use of remote sensing techniques for monitoring spatio-temporal soil organic carbon dynamics in agricultural systems. CATENA 94:64–74. doi:10.1016/j.catena.2012.01.001
de Moraes Sá J, Tivet F, Lal R, Briedis C, Hartman D, dos Santos J, dos Santos J (2014) Long-term tillage systems impacts on soil C dynamics, soil resilience and agronomic productivity of a Brazilian oxisol. Soil Tillage Res 136:38–50. doi:10.1016/j.still.2013.09.010
Eghball B, Power J (1995) Fractal description of temporal yield variability of 10 crops in the United States. Agronomy J 87:152–156. doi:10.2134/agronj1995.00021962008700020003x
Eghball B, Hergert G, Lesoing G, Ferguson R (1999) Fractal analysis of spatial and temporal variability. Geoderma 88:349–362. doi:10.1016/S0166-2481(00)80016-1
Eswaran H, Berg E, Reich P (1993) Organic carbon in soils of the world. Soil Sci Soc Am J 57:192–194. doi:10.2136/sssaj1993.03615995005700010034x
Fang X, Xue Z, Li B, An S (2012) Soil organic carbon distribution in relation to land use and its storage in a small watershed of the Loess Plateau, China. CATENA 88:6–13. doi:10.1016/j.catena.2011.07.012
Fotheringham A, Brunsdon C, Charlton M (2000) Quantitative geography: perspectives on spatial data analysis. Sage, London
Goidts E, Wesemael B (2007) Regional assessment of soil organic carbon changes under agriculture in Southern Belgium (1955–2005). Geoderma 141:341–354. doi:10.1016/j.geoderma.2007.06.013
Gong J, Chen L, Fu B, Wei W (2007) Integrated effects of slope aspect and land use on soil nutrients in a small catchment in a hilly loess area, China. Int J Sustain Dev World Ecol 14:307–316. doi:10.1080/13504500709469731
Goovaerts P (1998) Geostatistical tools for characterizing the spatial variability of microbiological and physic-chemical soil properties. Biol Fertil Soils 27:315–334. doi:10.1007/s003740050439
Hbirkou C, Pätzold S, Mahlein AK, Welp G (2012) Airborne hyperspectral imaging of spatial soil organic carbon heterogeneity at the field-scale. Geoderma 175–176:21–28. doi:10.1016/j.geoderma.2012.01.017
Hou R, Zhu O, Li Y, Tyler D, Li F, Wilson G (2012) Effects of tillage and residue management on soil organic carbon and total nitrogen in the north China plain. Soil Sci Soc Am J 76:230–240. doi:10.2136/sssaj2011.0107
Hu K, Li H, Li B, Huang Y (2007) Spatial and temporal patterns of soil organic matter in the urban–rural transition zone of Beijing. Geoderma 141:302–310. doi:10.1016/j.geoderma.2007.06.010
Jia X, Wei X, Shao M, Li X (2012) Distribution of soil carbon and nitrogen along a revegetational succession on the Loess Plateau of China. CATENA 95:160–168. doi:10.1016/j.catena.2012.02.018
Legendre L, Legendre P (2012) Numerical ecology. Elsevier, Amsterdam
Liu X, Zhang W, Zhang M, Ficklin D, Wang F (2009) Spatio-temporal variations of soil nutrients influenced by an altered land tenure system in China. Geoderma 152:23–34. doi:10.1016/j.geoderma.2009.05.022
Liu Z, Shao M, Wang Y (2011) Effect of environmental factors on regional soil organic carbon stocks across the Loess Plateau region, China. Agric Ecosyst Environ 142:184–194. doi:10.1016/j.agee.2011.05.002
Liu Z, Shao M, Wang Y (2013) Spatial patterns of soil total nitrogen and soil total phosphorus across the entire Loess Plateau region of China. Geoderma 197–198:67–78. doi:10.1016/j.geoderma.2012.12.011
Lloyd C (2010) Local models for spatial analysis, 2nd edn. Taylor & Francis, London
Lü L, Wei Z, Qi Z (2009) Soil nutrients status in paddy field in Wanning, Hainan Province. Chin J Trop Agric 29:26–30. doi:10.3969/j.issn.1009-2196.2009.04.007 (in Chinese)
Lü Y, Sun R, Fu B, Wang Y (2012) Carbon retention by check dams: regional scale estimation. Ecol Eng 44:139–146. doi:10.1016/j.ecoleng.2012.03.020
McGrath D, Zhang C, Carton O (2004) Geostatistical analyses and hazard assessment on soil lead in Silvermines area, Ireland. Environ Pollut 127:239–248. doi:10.1016/j.envpol.2003.07.002
Moran P (1950) Notes on continuous stochastic phenomena. Biometrika 37:17–23
Moreira J, Silva J, Kamphorst S (1994) On the fractal dimension of self-affine profiles. J Phys A Math Gen 27:8079. doi:10.1088/0305-4470/27/24/018
Mörtberg U, Karlström A (2005) Predicting forest grouse distribution taking account of spatial autocorrelation. J Nat Conserv 13:147–159. doi:10.1016/j.jnc.2005.02.008
Overmars K, Koning G, Veldkamp A (2003) Spatial autocorrelation in multi-scale land use models. Ecol Model 164:257–270. doi:10.1016/S0304-3800(03)00070-X
Panosso A, Perillo L, Ferraudo A, Pereira G, Miranda J Jr, La Scala N (2012) Fractal dimension and anisotropy of soil CO2 emission in a mechanically harvested sugarcane production area. Soil Tillage Res 124:8–16. doi:10.1016/j.still.2012.04.005
Piotrowska A, Długosz J (2012) Spatio-temporal variability of microbial biomass content and activities related to some physicochemical properties of Luvisols. Geoderma 173–174:199–208. doi:10.1016/j.geoderma.2011.12.014
Qin S, Fan Y, Liu H, Wang Z (2008) Study on the relations between topographical factors and the spatial distributions of soil nutrients. Res Soil Water Conserv 15:46–50 (In Chinese)
Sardans J, Peñuelas J, Estiarte M (2008) Changes in soil enzymes related to C and N cycle and in soil C and N content under prolonged warming and drought in a Mediterranean shrub land. Appl Soil Ecol 39:223–235. doi:10.1016/j.apsoil.2007.12.011
Shaanxi Provincial Bureau of Statistics (1980–2005) Statistical yearbook of Heyang. China Statistics Press, Beijing (In Chinese)
Shaanxi Soil Survey Office (1992) Shaanxi soils. Science Press, Beijing (In Chinese)
Trangmar B, Yost R, Uehara G (1986) Application of geostatistics to spatial studies of soil properties. In: Brady N (ed) Advances in agronomy. Academic Press, London, pp 45–94
Valdez-Cepeda R, Olivares-Sáenz E (1998) Fractal analysis of Mexico’s annual mean yields of maize, bean, wheat and rice. Field Crops Res 59:53–62. doi:10.1016/S0378-4290(98)00108-7
Wang Y, Zhang X, Zhang J, Li S (2009) Spatial variability of soil organic carbon in a watershed on the Loess Plateau. Pedosphere 19:486–495. doi:10.1016/S1002-0160(09)60141-7
Wang S, Liang X, Luo Q, Fan F, Chen Y, Li Z, Sun H, Dai T, Wan J, Li X (2012) Fertilization increases paddy soil organic carbon density. J Zhejiang Univ Sci B (Biomed Biotechnol) 13:274–282. doi:10.1631/jzus.B1100145
Webster R, Oliver M (2007) Geostatistics for environmental scientists, 2nd edn. Wiley, Chichester
Xu X, Zhang H, Zhang O (2004) Development of check-dam systems in gullies on the Loess Plateau, China. Environ Sci Policy 7:79–86. doi:10.1016/j.envsci.2003.12.002
ESRI, Inc. ArcGIS 10.2 Help. http://resources.arcgis.com/en/help/
Gamma Design Software, LLC. GS+ user’s guide: geostatistics for the environmental sciences. http://www.gammadesign.com/files/GSPlusUserGuide.pdf
Zhang C, McGrath D (2004) Geostatistical and GIS analyses on soil organic carbon concentrations in grassland of southeastern Ireland from two different periods. Geoderma 119:261–275. doi:10.1016/j.geoderma.2003.08.004
Zhang C, Selinus O (1997) Spatial analyses for copper, lead and zinc contents in sediments of the Yangtze River basin. Sci Total Environ 204:251–262. doi:10.1016/S0048-9697(97)00171-X
Zhang C, Selinus O, Schedin J (1998) Statistical analyses for heavy metal contents in till and root samples in an area of southeastern Sweden. Sci Total Environ 212:217–232. doi:10.1016/S0048-9697(97)00341-0
Zhang W, Chen H, Wang K, Su Y, Zhang J, Yi A (2007) The heterogeneity and its influencing factors of soil nutrients in peak-cluster depression areas of Karst region. Agric Sci China 6:322–329. doi:10.1016/S1671-2927(07)60052-2
Zhang C, Liu G, Xue S, Sun C (2013) Soil organic carbon and total nitrogen storage as affected by land use in a small watershed of the Loess Plateau, China. Eur J Soil Biol 54:16–24. doi:10.1016/j.ejsobi.2012.10.007
Zuo R, Agterberg F, Cheng Q, Yao L (2009) Fractal characterization of the spatial distribution of geological point processes. Int J Appl Earth Obs Geoinf 11:394–402. doi:10.1016/j.jag.2009.07.001
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The research was sponsored in part by the Program Foundation of the Ministry of Education of China (No. 20090204120035), the China Postdoctoral Science Foundation (No. 20090451399), and the National Study Abroad Funding.
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Chen, T., Chang, Q., Liu, J. et al. Spatio-temporal variability of farmland soil organic matter and total nitrogen in the southern Loess Plateau, China: a case study in Heyang County. Environ Earth Sci 75, 28 (2016). https://doi.org/10.1007/s12665-015-4786-8
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DOI: https://doi.org/10.1007/s12665-015-4786-8