Use of the SCUAF model to simulate natural miombo woodland and maize monoculture ecosystems in Zimbabwe

Abstract

‘Soil Changes Under Agroforestry’ (SCUAF), a computer model designed to predict changes in erosion, soil carbon and soil nitrogen over time within various agroforestry systems and climatic regimes, was assessed using input data from an undisturbed miombo woodland and an adjacent maize field in Zimbabwe. Predicted changes in soil carbon were in a realistic range for both miombo and maize treatments. However, the accuracy of the model may be a reflection of the detail required in its initialisation. Several problematic relationships were found within the model, in particular inconsistent patterns between nitrogen uptake and plant productivity under complex fertilisation simulations and a lack of attenuation of productivity in the simulation of miombo woodland as it approached maturity.

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References

  1. Ashworth VA (1990) Agricultural technology and the communal farm sector. Background paper for the World Bank Zimbabwean Agricultural Sector Memorandum. World Bank, Washington DC

    Google Scholar 

  2. Campbell BM, Swift MJ, Hatton J and Frost PGH (1988) Small-scale vegetation pattern and nutrient cycling in miombo woodland. In: Verhoeven JTA, Heil GW and Werger MJA, eds, Vegetation Structure in Relation to Carbon and Nutrient Economy, pp 69–85. SPB Academic Publishing, The Hague

    Google Scholar 

  3. Campbell BM, Vermeulen SJ and Lynam T (1991) Value of Trees in the Small-Scale Farming Sector of Zimbabwe. IDRC-MR302e. IDRC, Ottawa, 72 pp

    Google Scholar 

  4. Frost PGH (1985) Organic matter and nutrient dynamics in a broadleafed African savanna. In: Tothill JC and Mott JJ, eds, Ecology and Management of the World's Savannas, pp 200–206. Australian Academy of Science, Canberra

    Google Scholar 

  5. IBSNAT (1990) Network Report: 1987–1990. Department of Agronomy and Soil Science, College of Tropical Agriculture and Human Resources, University of Hawaii, Honolulu, HI, USA

    Google Scholar 

  6. Jones JW, Boote KS, Hoogenboom G, Jagtap S and Wilkerson G (1989) SOYGRO V5.42: Soybean Crop Growth Simulation Model: User's Guide. Florida Experimental Station Journal No. 8304. Agricultural Engineering and Agronomy Department, University of Florida, Gainsville, FL, USA

    Google Scholar 

  7. Johnson RWM (1962) Fertiliser response on maize under reserve conditions. Rhodesia Agricultural Journal 59: 222–223

    Google Scholar 

  8. King J and Campbell BM (1993) Soil organic matter under miombo woodland, plantations and crops. Forest Ecology and Management (in press)

  9. Lamotte M and Boulière F (1983) Energy flow and nutrient cycling in tropical savannas. In: Boulière F, ed, Tropical Savannas, pp 583–603. Elsevier, Amsterdam

    Google Scholar 

  10. Muller MJ (1982) Selected Climatic Data for a Global Set Standard Stations for Vegetation Science. W Junk, The Hague, 306 pp

    Google Scholar 

  11. Parton, WJ, Schimel DS, Cole CV and Ojima DS (1987) Analysis of factors controlling soil organic matter levels in Great Plains grasslands. Soil Science Society of America Journal 51: 1173–1179

    Google Scholar 

  12. Parton WJ, Sanford RL, Sanchez PA and Stewart JWB (1989) Modeling Soil Organic Matter Dynamics in Tropical Soils. In: Coleman DC, Oades JM and Uehara G, eds, Dynamics of Soil Organic Matter in Tropical Ecosystems, pp 153–171. NifTAL Project, Paia, Hawaii

    Google Scholar 

  13. White F (1983) The Vegetation of Africa. UNESCO, Paris, 356 pp

    Google Scholar 

  14. Young A and Muraya P (1990a) Soil changes under agroforestry (SCUAF): a predictive model. ICRAF Reprint No. 74. ICRAF, Nairobi

    Google Scholar 

  15. Young A and Muraya P (1990b) SCUAF: Soil Changes under Agroforestry: a Predictive Model. Version 2. Computer Programme with User's Handbook. ICRAF, Nairobi

    Google Scholar 

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Vermeulen, S.J., Woomer, P., Campbell, B.M. et al. Use of the SCUAF model to simulate natural miombo woodland and maize monoculture ecosystems in Zimbabwe. Agroforest Syst 22, 259–271 (1993). https://doi.org/10.1007/BF00705238

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Key words

  • SCUAF
  • computer model
  • soil carbon
  • soil nitrogen
  • miombo
  • maize