Skip to main content

Advertisement

Log in

Modelling resource competition and its mitigation at the crop-soil-hedge interface using WaNuLCAS

  • Published:
Agroforestry Systems Aims and scope Submit manuscript

Abstract

Agroforestry systems have a large potential to increase systems’ productivity and provide soil conservation in hilly terrain but comprise complex interactions at the crop-soil-tree interface. Modelling can be an operational approach to unravel the later. We used the spatially explicit, dynamic Water Nutrient and Light Capture in Agroforestry Systems model to (i) predict maize above ground biomass (AGB) and interactions at the crop-soil-hedge interface, (ii) improve our understanding of trees’ impact on crops in alley cropping, and (iii) identify mitigation strategies. A 2-year-data set from a soil conservation experiment in Western Thailand with maize farmers’ practice (monocropping, tillage), maize-chili-hedgerow intercropping (±fertilization; minimum tillage) was used as model input. Model validation showed satisfactory results for maize AGB (R2 = 0.76, root mean square error = 4.2, model efficiency = 0.69). Simulations revealed nitrogen (N) and phosphorus (P), rather than light and water, as main limiting factors at the crop-soil-hedge interface reducing maize AGB in rows close to hedgerows. Growth limitation by P was stronger than that of N while light competition was alleviated by four to six hedgerow prunings already. WaNuLCAS simulations clearly indicated that small-targeted additional N and P dressings to maize in rows close to hedges helped overcoming nutrient competition. Such strategic management options can be done for local farmers’ and hence, foster adaptation of soil conservation techniques for sustainable crop production in future.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11

Similar content being viewed by others

References

  • Bayala J, van Noordwijk M, Lusiana B, Ni’matul K, Teklehaimanot Z, Ouedraogo S (2008) Separating the tree–soil–crop interactions in agroforestry parkland systems in Saponé (Burkina Faso) using WaNuLCAS. In: Toward agroforestry design. Springer, New York, pp. 285–297

  • Chauhan Y, Solomon K, Rodriguez D (2013) Characterization of north-eastern Australian environments using APSIM for increasing rainfed maize production. Field Crops Res 144:245–255. doi:10.1016/j.fcr.2013.01.018

    Article  Google Scholar 

  • Dercon G, Clymans E, Diels J, Merckx R, Deckers J (2006) Differential 13C isotopic discrimination in maize at varying water stress and at low to high nitrogen availability. Plant Soil 282:313–326

    Article  CAS  Google Scholar 

  • Everson TM, Everson C, Van Niekirk W (2004) Agroforestry in rural farming systems: a case study from the Drakensberg mountains in KwaZulu-Natal. In: Lawes MJ, Eeley HAC, Shackelton CM, Geach BGS (ed) Indigenous forests and woodlands in South Africa: policy, people and practice. University of KwaZulu-Natal Press, Scottsville, South Africa, pp 650–658

  • Ekasingh B, Gypmantasiri P, Thong Ngam K, Krudloyma P (2004) Maize in Thailand: production systems, constraints, and research priorities. CIMMYT

  • Gallagher JN, Biscoe PV (1978) Radiation absorption, growth and yield of cereals. J Agric Sci 91:47–60. doi:10.1017/S0021859600056616

    Article  Google Scholar 

  • Garré S, Coteur I, Wongleecharoen C, Kongkaew T, Diels J, Vanderborght J (2013) Noninvasive monitoring of soil water dynamics in mixed cropping systems: a case study in Ratchaburi Province, Thailand. Vadose Zone J. doi:10.2136/vzj2012.0129

    Google Scholar 

  • Hauser S (1993) Distribution and activity of earthworms and contribution to nutrient recycling in alley cropping. Biol Fertil Soils 15:16–20

    Article  CAS  Google Scholar 

  • Hilger T, Keil A, Lippe M, Panomtaranichagul M, Saint-Macary C, Zeller M, Pansak W, Vu Dinh T, Cadisch G (2013) Soil conservation on sloping land: technical options and adoption constraints. In: Sustainable land use and rural development in Southeast Asia: innovations and policies for mountainous areas. Springer, New York, pp. 229–279

  • Hodnett MG, Tomasella J (2002) Marked differences between van Genuchten soil water-retention parameters for temperate and tropical soils: a new water-retention pedo-transfer functions developed for tropical soils. Geoderma 108:155–180

    Article  CAS  Google Scholar 

  • Hussain K (2015) Measuring and modeling resource use competition at crop-soil-hedge interface on a hillside in Western Thailand Chapter 3. Dessertation submitted to University of Hohenheim, Stuttgart Germany. http://opus.uni-hohenheim.de/volltexte/2015/1060

  • Hussain K, Wongleecharoen C, Hilger T, Vanderborght J, Garré S, Onsamrarn W, Diels J, Kongkaew T, Cadisch G (2015) Combining δ13C measurements and ERT imaging: improving our understanding of competition at the crop-soil-hedge interface. Plant Soil 393:1–20. doi:10.1007/s11104-015-2455-z

    Article  CAS  Google Scholar 

  • Iio A, Hikosaka K, Anten NPR, Nakagawa Y, Ito A (2014) Global dependence of field-observed leaf area index in woody species on climate: a systematic review. Glob Ecol Biogeogr 23:274–285. doi:10.1111/geb.12133

    Article  Google Scholar 

  • Jones JW, Hoogenboom G, Porter CH, Boote KJ, Batchelor WD, Hunt LA, Wilkens PW, Singh U, Gijsman AJ, Ritchie JT (2003) The DSSAT cropping system model. Eur J Agron 18:235–265. doi:10.1016/S1161-0301(02)00107-7

    Article  Google Scholar 

  • Land Development Department (2011) Tha yang series: Ty, Ministry of Agriculture and Cooperatives, Bangkok, Thailand, p. 3

  • Legates DR, Davis RE (1997) The continuing search for an anthropogenic climate change signal: limitations of correlation-based approaches. Geophys Res Lett 24:2319–2322

    Article  Google Scholar 

  • Leihner DE, Ernst-Schaeben R, Akondé TP, Steinmüller N (1996) Alley cropping on an ultisol in subhumid Benin. Part 2: changes in crop physiology and tree crop competition. Agrofor Syst 34:13–25

    Article  Google Scholar 

  • Lippe M, Marohn C, Hilger T, Dung NV, Vien TD, Cadisch G (2014) Evaluating a spatially-explicit and stream power-driven erosion and sediment deposition model in Northern Vietnam. Catena 120:134–148

    Article  Google Scholar 

  • Liu HL, Yang JY, Drury CF, Reynolds WD, Tan CS, Bai YL, He P, Jin JY, Hoogenboom G (2011) Using the DSSAT-CERES-Maize model to simulate crop yield and nitrogen cycling in fields under long-term continuous maize production. Nutr Cycl Agroecosyst 89:313–328

    Article  CAS  Google Scholar 

  • Loague K, Green RE (1991) Statistical and graphical methods for evaluating solute transport models: overview and application. J Contam Hydrol 7:51–73

    Article  CAS  Google Scholar 

  • Marohn C, Schreinemachers P, Quang DV, Berger T, Siripalangkanont P, Nguyen TT, Cadisch G (2013) A software coupling approach to assess low-cost soil conservation strategies for highland agriculture in Vietnam. Environ Model Softw 45:116–128

    Article  Google Scholar 

  • Martin FS, van Noordwijk M (2009) Trade-offs analysis for possible timber-based agroforestry scenarios using native trees in the Philippines. Agrofor Syst 76:555–567

    Article  Google Scholar 

  • Mohanty M, Probert ME, Sammi Reddy K, Dalal RC, Mishra AK, Subba Rao A, Singh M, Menzies NW (2012) Simulating soybean-wheat cropping system: aPSIM model parameterization and validation. Agric Ecosyst Environ 152:68–78

    Article  Google Scholar 

  • Mupangwa W, Thierfelder C (2013) Intensification of conservation agriculture systems for increased livestock feed and maize production in Zimbabwe. I J Agric Sustain 12(4):425–439. doi:10.1080/14735903.2013.859836

    Article  Google Scholar 

  • Pansak W, Dercon G, Hilger T, Kongkeaw T (2007) 13C isotopic discrimination: a starting point for new insights in competition for nitrogen and water under contour hedgerow systems in tropical mountainous regions. Plant Soil 298:175–189

    Article  CAS  Google Scholar 

  • Pansak W, Hilger TH, Dercon G, Kongkaew T, Cadisch G (2008) Changes in the relationship between soil erosion and N loss pathways after establishing soil conservation systems in uplands of Northeast Thailand. Agric Ecosyst Environ 128:167–176

    Article  CAS  Google Scholar 

  • Pansak W, Hilger T, Lusiana B, Kongkaew T, Marohn C, Cadisch G (2010) Assessing soil conservation strategies for upland cropping in Northeast Thailand with the WaNuLCAS model. Agrofor Syst 79:123–144

    Article  Google Scholar 

  • Quinkenstein A, Wöllecke J, Böhm C, Grünewald H, Freese D, Schneider BU, Hüttl RF (2009) Ecological benefits of the alley cropping agroforestry system in sensitive regions of Europe. Environ Sci Policy 12:1112–1121

    Article  Google Scholar 

  • Rykiel EJ Jr (1996) Testing ecological models: the meaning of validation. Ecol Model 90:229–244. doi:10.1016/0304-3800(95)00152-2

    Article  Google Scholar 

  • Saseendran SA, Ma L, Malone R, Heilman P, Ahuja LR, Kanwar RS, Karlen DL, Hoogenboom G (2007) Simulating management effects on crop production, tile drainage, and water quality using RZWQM–DSSAT. Geoderma 140:297–309. doi:10.1016/j.geoderma.2007.04.013

    Article  CAS  Google Scholar 

  • Tuan VD, Hilger T, MacDonald L, Clemens G, Shiraishi E, Vien TD, Stahr K, Cadisch G (2014) Mitigation potential of soil conservation in maize cropping on steep slopes. Field Crops Res 56:91–102

    Article  Google Scholar 

  • van Noordwijk M, Lusiana B (1999) WaNuLCAS, a model of water, nutrient and light capture in agroforestry systems. In: Agroforestry for sustainable land-use fundamental research and modelling with emphasis on temperate and mediterranean applications. Springer, New York, pp. 217–242

  • Walker A, Mutuo P, van Noordwijk M, Albrecht A, Cadisch G (2007) Modelling of planted legume fallows in Western Kenya using WaNuLCAS. (I) Model calibration and validation. Agrofor Syst 70:197–209

    Article  Google Scholar 

  • van Noordwijk M, Lusiana B, Khahasanah N (2004) WaNuLCAS version 3.1: background on a model of water nutrient and light capture in agroforestry system. International Centre for Research in Agroforestry (ICRAF), Bogor

  • Welleck S (2003) Testing statistical hypothesis of equivalence. Chapman and Hall, London, p 284

    Google Scholar 

Download references

Acknowledgements

We would like to thank KU Leuven for funding field research under the project OT/07/045, University of Agriculture, Faisalabad for providing a fellowship to 1st author’s PhD studies in Germany. We also thank Ni’matul Khasanah from the World Agroforestry Center, Regional Office Southest Asia in Bogor, Indonesia for her valuable support in WaNuLCAS implementation. Finally, we would like to thank colleagues of Kasetsart University, Bangkok, Ms. Sireetorn Siriwong and Mr. Channarong, for their support during field experiments.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Thomas Hilger.

Additional information

Thanuchai Kongkaew—Deceased February 16th, 2012.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Hussain, K., Wongleecharoen, C., Hilger, T. et al. Modelling resource competition and its mitigation at the crop-soil-hedge interface using WaNuLCAS. Agroforest Syst 90, 1025–1044 (2016). https://doi.org/10.1007/s10457-015-9881-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10457-015-9881-z

Keywords

Navigation