Journal of Mountain Science

, Volume 14, Issue 4, pp 705–715 | Cite as

A novel model to assess soil productivity in the dry-hot valleys of China

  • Xing-wu Duan
  • Xu Han
  • Jin-ming Hu
  • De-tai Feng
  • Li Rong
Article

Abstract

Accurate evaluation of soil productivity has been a long-standing challenge. Although numerous models for productivity assessment exist, most are cumbersome to use and require substantial parameter inputs. We developed a new empirical soil productivity model based on field investigations of soil erosion, soil physicochemical properties, and crop yields in the dry-hot valleys (DHVs) in China. We found that soil pH, and organic matter and available potassium contents significantly affected crop yields under eroded conditions of the DHVs. Moreover, available potassium content was the key factor affecting soil productivity. We then modified an existing soil productivity model by adding the following parameters: contents of effective water, potassium, organic matter, and clay, soil pH, and root weighting factor. The modified soil productivity model explained 63.5% of the crop yield. We concluded that the new model was simple, realistic, and exhibited strong predictability. In addition to providing an accurate assessment of soil productivity, our model could potentially be applied as a soil module in comprehensive crop models.

Keywords

Soil productivity Productivity index model Redundancy analysis Dry-hot valleys 

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References

  1. Amundson R, Berhe AA, Hopmans JW, et al. (2015) Soil and human security in the 21st century. Science 384 (6235): 1261071. DOI: 10.1126/science.1261071CrossRefGoogle Scholar
  2. Bauer A, Black AL (1994) Quantification of soil organic matter content on soil productivity. Soil Science 58: 185–193. DOI: 10.2136/sssaj1994.03615995005800010027xCrossRefGoogle Scholar
  3. Chai ZX (1987) Soil erosion in karst area of Guangxi Autonomous Region. Journal of Mountain Research 7 (4): 255–259. (In Chinese)Google Scholar
  4. De Paepe JL, Alvarez R (2013) Development of a regional soil productivity index using an artificial neural network approach. Agronomy Journal 105 (6): 1803–1813. DOI: 10.2134/agronj2013.0070CrossRefGoogle Scholar
  5. Duan XW, Rong L, Zhang GL, et al. (2015) Soil productivity in the Yunnan province: Spatial distribution and sustainable utilization. Soil and Tillage Research 147: 10–19. DOI: 10.1016/j.still.2014.11.005CrossRefGoogle Scholar
  6. Duan XW, Xie Y, Feng YJ, et al. (2009) Study on the method of soil productivity assessment in black soil region of northeast China. Agricultural Sciences in China 8 (4): 472–481. DOI: 10.1016/S1671-2927(08)60234-5CrossRefGoogle Scholar
  7. Duan XW, Xie Y, Ou TH, et al. (2011) Effects of soil erosion on long-term soil productivity in the black soil region of northeastern China. Catena 87 (2): 268–275. DOI: 10.1016/j.catena.2011.06.012CrossRefGoogle Scholar
  8. Duan XW, Liu B, Gu ZJ, et al. (2016) Quantifying soil erosion effects on soil productivity in the dry-hot valley, southwestern China. Environmental Earth Sciences 75 (16): 1164. DOI: 10.1007/s12665-016-5986-6CrossRefGoogle Scholar
  9. Fenton TE, Duncan ER, Shrader WD, et al. (1971) Productivity levels of some Iowa soils. Iowa Agriculture and Home Economics, Special Report, No. 66.Google Scholar
  10. Gale MR, Grigal DF, Harding RB (1991) Soil Productivity Index: Predictions of site quality for White Spruce plantations. Soil Science Society of America Journal 55 (6): 1701–1708. DOI: 10.2136/sssaj1991.03615995005500060033xCrossRefGoogle Scholar
  11. Gantzer CJ, McCarty TR (1987) Predicting corn yield on a claypan soil using a productivity index. American Society of Agricultural and Biological Engineers 30: 1347–1352. DOI: 10.13031/2013.30569CrossRefGoogle Scholar
  12. Larson WE, Pierce FJ, Dowdy RH (1983) The threat of soil erosion to long-term crop production. Science 219: 458–465.CrossRefGoogle Scholar
  13. Leng SY (1992) Research on the potential agricultural productivity of China with the help of GIS. Journal of Natural Resources 7 (1): 72–79. (In Chinese). DOI:10.11849/zrzyxb. 1992.01.009Google Scholar
  14. Li GL (2007) Study on the decline process and instauration path of land productivity on the sloping land in the Southern Loess Plateau. Agricultural Research in the Arid Areas 25 (1): 6–10. (In Chinese) DOI: 10.3321/j.issn:1000-7601.2007.01.002Google Scholar
  15. Ling RF (1973) A Probability Theory of Cluster Analysis. Journal of the American Statistical Association 63 (341): 159–164. DOI:10.1080/01621459.1973.10481356CrossRefGoogle Scholar
  16. Liu GS (1996) Soil physical and chemical analysis and profile description. China Standards Press. (In Chinese)Google Scholar
  17. Lobo D, Lozano Z, Delgado F (2005) Water erosion risk assessment and impact on productivity of a Venezuelan soil. Catena 64 (2): 297–306. DOI: 10.1016/j.catena.2005.08.011CrossRefGoogle Scholar
  18. Lu RK (1998) Principle of soil-plant nutrition and fertilizer. Chemical industry press, Beijing. pp 46–47. (In Chinese)Google Scholar
  19. Martín JAR, Arias ML, Corbi JMG (2006) Heavy metals contents in agricultural top soils in the Ebro basin (Spain). Application of the multivariate geoestatistical methods to study spatial variations. Environmental pollution 144 (3): 1001–1012. DOI: 10.1016/j.envpol.2006.01.045Google Scholar
  20. Mueller L, Schindler U, Mirschel W, et al. (2010) Assessing the productivity function of soils. A review. Agronnomy for Sustainable Development 30: 601–614. DOI: 10.1007/978-94-007-0394-0_33CrossRefGoogle Scholar
  21. Mulengera MK, Payton RW (1999) Modification of the productivity index model. Soil and Tillage Research 52: 11–19. DOI: 10.1016/S0167-1987(99)00022-7CrossRefGoogle Scholar
  22. Myers DB, Kitchen NR, Sudduth KA, et al. (2000) Estimation of a soil productivity index on claypan soils using soil electrical conductivity. Proceedings of the 5th International Conference on Precision Agriculture, Bloomington, Minnesota, USA.Google Scholar
  23. National Soil Survey Office (1998) Soils of China. China Agriculture Press, Beijing. (In Chinese)Google Scholar
  24. Neil LL (1979) An Evaluation of Soil Productivity Based on Root Growth and Water Depletion. University of Missouri. Columbia.Google Scholar
  25. Oldeman LR (1994) The global extent of soil degradation. Soil Resilience and Sustainable Land Use. CAB International, Wallingford, UK. pp 99–118.Google Scholar
  26. Pierce FJ, Larson WE, Dowdy RH, et al. (1983) Productivity of soil: Assessing of long-term changes due to erosion. Journal of Soil and Water Conservation 38: 39–44.Google Scholar
  27. Power JF, Sandoval FM, Ries RE, et al. (1981) Effect of top soil and subsoil thickness on soil water content and crop production. Soil Science Society of America Journal 45: 124–129. DOI: 10.2136/sssaj1981.03615995004500010027xCrossRefGoogle Scholar
  28. Rosa D (2005) Soil quality evaluation and monitoring based on land evaluation. Land Degradation and Development 16: 551–559. DOI: 10.1002/ldr.710.CrossRefGoogle Scholar
  29. Schumacher TE, Lindstrom MJ, Schumacher JA, et al. (1999) Modeling spatial variation and productivity due to tillage and water erosion. Soil and Tillage Research 51: 331–339. DOI: 10.1016/S0167-1987(99)00046-XCrossRefGoogle Scholar
  30. Sun ZN, Xie Y, Duan XW (2009) Applied productivity index model (PI) in soil productivity assessment of Northern China. Journal of Natural Resources 24 (4): 708–717. (In Chinese) DOI: 10.11849/zrzyxb.2009.04.017Google Scholar
  31. Thompson AL, Gantzer CJ, Hammer RD (1992) Productivity of a claypan soil under rain-fed and irrigated conditions. Journal of Soil and Water Conservation 47 (5): 405–410.Google Scholar
  32. Uadawatta RP, Henderson GS (2003) Root distribution relationships to soil properties in Missouri Oak stands: a productivity index approach. Soil Science Society of America Journal 67 (6): 1869–1878. DOI: 10.2136/sssaj2003.1869CrossRefGoogle Scholar
  33. Wan JG, Yang LZ, Shan YH (2001) Application of fuzzy mathematics to soil quality assessment. Acta Pedologica Sinica 38: 176–183. (In Chinese)Google Scholar
  34. Williams JR, Renard KG, Dyke PT (1983) EPIC: a new method for assessing erosion’s effects on soil productivity. Journal of Soil and Water Conservation 38 (5): 381–383.Google Scholar
  35. Wilson JP, Sandor SP, Nielsen GA (1991) Productivity index model modified to estimate variability of Montana small grain yields. Soil Science Society of America 55: 228–234. DOI:10.2136/sssaj1991.03615995005500010039xCrossRefGoogle Scholar
  36. Xiong DH, Zhou HY, Yang Z, et al. (2005) Studies on revegetation in the dry-hot valley of Jinsha river. Southwest China Journal of Agricultural Sciences 18 (3): 337–342. DOI: 10.16213/j.cnki.scjas.2005.03.025Google Scholar
  37. Yang J, Hammer RD, Thompson AL, et al. (2003) Predicting soybean yield in a dry and wet year using a soil productivity index. Plant Soil 250 (2): 175–182. DOI: 10.1023/A:1022801322245CrossRefGoogle Scholar
  38. Yu L, Liu H (2004) Efficient feature selection via analysis of Relevance and Redundancy. Journal of Machine Learning Research 5: 1205–1224.Google Scholar
  39. Zhang YQ (2004) Effect of soil water deficit on evapotranspiration, crop yield, and water use efficiency in the north China Plain. Agricultural Water Management 64 (2): 107–122. DOI: 10.1016/S0378-3774(03)00201-4CrossRefGoogle Scholar
  40. Zheng ZP, Liu ZX (2003) Soil quality and its evaluation. Chinese Journal of Applied Ecology 14 (1): 131–134. (In Chinese). DOI: 10.3321/j.issn:1001-9332.2003.01.029Google Scholar

Copyright information

© Science Press, Institute of Mountain Hazards and Environment, CAS and Springer-Verlag Berlin Heidelberg 2017

Authors and Affiliations

  • Xing-wu Duan
    • 1
    • 2
    • 3
  • Xu Han
    • 1
    • 3
  • Jin-ming Hu
    • 1
    • 3
  • De-tai Feng
    • 1
    • 3
  • Li Rong
    • 1
    • 2
    • 3
  1. 1.Institute of International Rivers and Eco–securityYunnan UniversityKunmingChina
  2. 2.Yunnan Key Laboratory of International Rivers and Trans-boundary Eco-securityYunnan UniversityKunmingChina
  3. 3.China Institute of Water Resources and Hydropower ResearchBeijingChina

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