Scale-location specific relations between soil nutrients and topographic factors in the Fen River Basin, Chinese Loess Plateau
Hongfen ZHU, Rutian BI, Yonghong DUAN, Zhanjun XU
Scale-location specific relations between soil nutrients and topographic factors in the Fen River Basin, Chinese Loess Plateau
Understanding scale- and location-specific variations of soil nutrients in cultivated land is a crucial consideration for managing agriculture and natural resources effectively. In the present study, wavelet coherency was used to reveal the scale-location specific correlations between soil nutrients, including soil organic matter (SOM), total nitrogen (TN), available phosphorus (AP), and available potassium (AK), as well as topographic factors (elevation, slope, aspect, and wetness index) in the cultivated land of the Fen River Basin in Shanxi Province, China. The results showed that SOM, TN, AP, and AK were significantly inter-correlated, and that the scales at which soil nutrients were correlated differed in different landscapes, and were generally smaller in topographically rougher terrain. All soil nutrients but TN were significantly influenced by the wetness index at relatively large scales (32–72 km) and AK was significantly affected by the aspect at large scales at partial locations, showing localized features. The results of this study imply that the wetness index should be taken into account during farming practices to improve the soil nutrients of cultivated land in the Fen River Basin at large scales.
soil nutrients / wavelet coherency / wetness index / spatial variation / cultivated land
[1] |
Andreo B, Jiménez P, Durán J J, Carrasco F, Vadillo I, Mangin A (2006). Climatic and hydrological variations during the last 117–166 years in the south of the Iberian Peninsula, from spectral and correlation analyses and continuous wavelet analyses. J Hydrol (Amst), 324(1–4): 24–39
CrossRef
Google scholar
|
[2] |
Beguería S, Spanu V, Navas A, Machín J, Angulo-Martínez M (2013). Modeling the spatial distribution of soil properties by generalized least squares regression: toward a general theory of spatial variates. J Soil Water Conserv, 68(3): 172–184
CrossRef
Google scholar
|
[3] |
Biswas A, Si B C (2011). Identifying scale specific controls of soil water storage in a hummocky landscape using wavelet coherency. Geoderma, 165(1): 50–59
CrossRef
Google scholar
|
[4] |
Bremner J, Sparks D, Page A, Helmke P, Loeppert R, Soltanpour P, Tabatabai M, Johnston C, Sumner M (1996). Nitrogen-total. Methods of soil analysis. Part 3-chemical methods, 1085–1121
|
[5] |
Bureau RG o S S (1988). Active Fault System Around Ordos Massif.Beijing: Seismoic Press (in Chinese)
|
[6] |
Geography EB o C s P (1985). Physical Geography of China.Beijing: General Science Press (in Chinese)
|
[7] |
Goulard M, Voltz M (1992). Linear coregionalization model: tools for estimation and choice of cross-variogram matrix. Math Geol, 24(3): 269–286
CrossRef
Google scholar
|
[8] |
Grinsted A, Moore J C, Jevrejeva S (2004). Application of the cross wavelet transform and wavelet coherence to geophysical time series. Nonlinear Process Geophys, 11(5/6): 561–566
CrossRef
Google scholar
|
[9] |
Guo Z, Wang D (2013). Long-term effects of returning wheat straw to croplands on soil compaction and nutrient availability under conventional tillage. Plant Soil Environ, 59(6): 280–286
|
[10] |
Holmes K W, Kyriakidis P C, Chadwick O A, Soares J V, Roberts D A (2005). Multi-scale variability in tropical soil nutrients following land-cover change. Biogeochemistry, 74(2): 173–203
CrossRef
Google scholar
|
[11] |
Hopkins B, Ellsworth J (2005). Phosphorus availability with alkaline/calcareous soil. Western Nutrient Management Conference, 6, 88–93
|
[12] |
Hu W, Chau H W, Si B C (2015). Vis‐near ir spectroscopy for soil organic carbon content measurement in the Canadian Prairies. CLEAN–Soil, Air. Water, 43(8): 1215–1223
|
[13] |
Hu W, Shao M A, Wang Q J, Fan J, Reichardt K (2008). Spatial variability of soil hydraulic properties on a steep slope in the Loess Plateau of China. Scientia Agricola, 65(3): 268–276
|
[14] |
Hu X, Li Y, Yang J (2005). Quaternary paleolake development in the Fen River Basin, North China. Geomorphology, 65(1–2): 1–13
CrossRef
Google scholar
|
[15] |
Isaac E, Kerber J D (1972). Atomic absorption and flame photometry: techniques and uses in soil, plant and water analysis. SSSA
|
[16] |
Jenny H (1941). Factors of Soil Formation.New York: McGraw-Hill Book Company
|
[17] |
Jiang Y, Zhang Y, Wen D, Liang W (2003). Spatial heterogeneity of exchangeable iron content in cultivated soils of Shenyang suburbs. J Soil Water Conserv, 17(1): 277–289 (in Chinese)
|
[18] |
Keith H, Jacobsen K, Raison R (1997). Effects of soil phosphorus availability, temperature and moisture on soil respiration in Eucalyptus pauciflora forest. Plant Soil, 190(1): 127–141
CrossRef
Google scholar
|
[19] |
Kolahchi Z, Jalali M (2007). Effect of water quality on the leaching of potassium from sandy soil. J Arid Environ, 68(4): 624–639
CrossRef
Google scholar
|
[20] |
Liu Y, Lv J, Zhang B, Bi J (2013). Spatial multi-scale variability of soil nutrients in relation to environmental factors in a typical agricultural region, Eastern China. Sci Total Environ, 450–451(0): 108–119
CrossRef
Google scholar
|
[21] |
Luca C, Si B C, Farrell R E (2007). Upslope length improves spatial estimation of soil organic carbon content. Can J Soil Sci, 87(3): 291–300
CrossRef
Google scholar
|
[22] |
Moore I D, Gessler P E, Nielsen G A, Peterson G A (1993). Soil attribute prediction using terrain analysis. Soil Sci Soc Am J, 57(2): 443–452
CrossRef
Google scholar
|
[23] |
Nachtergaele F, Van Velthuizen H, Verelst L, Batjes N, Dijkshoorn K, Van Engelen V, Fischer G, Jones A, Montanarella L, Petri M (2008). Harmonized world soil database. Food and Agriculture Organization of the United Nations
|
[24] |
Olsen S R, Cole C V, Watanabe F S (1954). Estimation of Available Phosphorus in Soils by Extraction with Sodium Bicarbonate.Washington: USDA
|
[25] |
Page A, Miller R, Keeney D (1982). Total carbon, organic carbon, and organic matter. Methods of Soil Analysis, 2: 539–579
|
[26] |
Pei T, Qin C Z, Zhu A, Yang L, Luo M, Li B, Zhou C (2010). Mapping soil organic matter using the topographic wetness index: a comparative study based on different flow-direction algorithms and kriging methods. Ecol Indic, 10(3): 610–619
CrossRef
Google scholar
|
[27] |
Richards L A ( 1947). Diagnosis and improvement of saline and alkaline soils. Soil Sci, 64(5): 432
CrossRef
Google scholar
|
[28] |
Saleque M, Abedin M, Bhuiyan N (1996). Effect of moisture and temperature regimes on available phosphorus in wetland rice soils. Commun Soil Sci Plant Anal, 27(9–10): 2017–2023
CrossRef
Google scholar
|
[29] |
Shu Q, Liu Z, Si B (2008). Characterizing scale-and location-dependent correlation of water retention parameters with soil physical properties using wavelet techniques. J Environ Qual, 37(6): 2284–2292
CrossRef
Google scholar
|
[30] |
Si B C (2008). Spatial scaling analyses of soil physical properties: a review of spectral and wavelet methods. Vadose Zone J, 7(2): 547–562
CrossRef
Google scholar
|
[31] |
Si B C, Farrell R E (2004). Scale-dependent relationship between wheat yield and topographic indices. Soil Sci Soc Am J, 68(2): 577–587
CrossRef
Google scholar
|
[32] |
Si B C, Zeleke T B (2005). Wavelet coherency analysis to relate saturated hydraulic properties to soil physical properties. Water Resour Res, 41(11): W11424
CrossRef
Google scholar
|
[33] |
Starr G, Lal R, Malone R, Hothem D, Owens L, Kimble J (2000). Modeling soil carbon transported by water erosion processes. Land Degrad Dev, 11(1): 83–91
CrossRef
Google scholar
|
[34] |
Sumfleth K, Duttmann R (2008). Prediction of soil property distribution in paddy soil landscapes using terrain data and satellite information as indicators. Ecol Indic, 8(5): 485–501
CrossRef
Google scholar
|
[35] |
Tang C, Piechota T C (2009). Spatial and temporal soil moisture and drought variability in the Upper Colorado River Basin. J Hydrol (Amst), 379(1–2): 122–135
CrossRef
Google scholar
|
[36] |
Torrence C, Compo G P (1998). A practical guide to wavelet analysis. Bull Am Meteorol Soc, 79(1): 61–78
CrossRef
Google scholar
|
[37] |
Torrence C, Webster P J (1999). Interdecadal changes in the ENSO-monsoon system. J Clim, 12(8): 2679–2690
CrossRef
Google scholar
|
[38] |
Umali B P, Oliver D P, Forrester S, Chittleborough D J, Hutson J L, Kookana R S, Ostendorf B (2012). The effect of terrain and management on the spatial variability of soil properties in an apple orchard. Catena, 93(0): 38–48
CrossRef
Google scholar
|
[39] |
Van Gorsel E, Berni J A J, Briggs P, Cabello-Leblic A, Chasmer L, Cleugh H A, Hacker J, Hantson S, Haverd V, Hughes D, Hopkinson C, Keith H, Kljun N, Leuning R, Yebra M, Zegelin S (2013). Primary and secondary effects of climate variability on net ecosystem carbon exchange in an evergreen Eucalyptus forest. Agric Meteorol, 182–183(0): 248–256
CrossRef
Google scholar
|
[40] |
Wu W, Geller M A, Dickinson R E (2002). The response of soil moisture to long-term variability of precipitation. J Hydrometeorol, 3(5): 604–613
CrossRef
Google scholar
|
[41] |
Yang J C (1987). The alluvial terraces and neotectonics in the south sector of the Fen River. In: Research Group of State Seismological Bureau, ed. The Tectonic Stress and Crust Structure. Beijing: Geology Press, 132–136 (in Chinese)
|
[42] |
Yates T T, Si B C, Farrell R E, Pennock D J (2007). Time, location, and scale dependence of soil nitrous oxide emissions, soil water, and temperature using wavelets, cross-wavelets, and wavelet coherency analysis. J Geophys Res, D, Atmospheres, 112(D9): D09104
CrossRef
Google scholar
|
[43] |
Zhang X Y, Sui Y Y, Zhang X D, Meng K, Herbert S J (2007). Spatial variability of nutrient properties in black soil of northeast China. Pedosphere, 17(1): 19–29
CrossRef
Google scholar
|
/
〈 | 〉 |