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Modelling the effects of leafing phenology on growth and water use by selected agroforestry tree species in semi-arid Kenya

Author

Listed:
  • Muthuri, C.W.
  • Ong, C.K.
  • Black, C.R.
  • Mati, Bancy Mbura
  • Ngumi, V.W.
  • van Noordwijk, Meine

Abstract

The WaNuLCAS (Water, Nutrient and Light Capture in Agroforestry Systems) model was used to investigate the impact of tree leafing phenology on the growth and water use of selected agroforestry tree species in semi-arid Central Kenya. Three agroforestry species, grevillea (Grevillea robusta), alnus (Alnus acuminate) and paulownia (Paulownia fortunei), respectively providing evergreen, semi-deciduous and deciduous leafing phenologies, were intercropped with maize. It was hypothesized that the deciduous habit of alnus and paulownia would reduce demand for water relative to the evergreen grevillea under conditions of limited supplies. WaNuLCAS simulations showed that altering leafing phenology from evergreen through semi-deciduous to deciduous decreased water uptake and interception losses by the trees, but increased crop water uptake, drainage and soil evaporation rates for systems containing all three tree species. Drainage and soil evaporation were respectively 14 and 17% greater in the deciduous paulownia system than in the evergreen grevillea. Simulated water uptake and biomass accumulation by grevillea were more than double the corresponding values for paulownia, while crop water uptake in the grevillea and paulownia systems was reduced by 6% and 0.2% respectively relative to sole maize. The simulations imply that water use by paulownia is lower than for grevillea and suggest that leafing phenology is a key attribute affecting water use by trees. The significance of these observations for watershed management and stream flow are discussed.

Suggested Citation

  • Muthuri, C.W. & Ong, C.K. & Black, C.R. & Mati, Bancy Mbura & Ngumi, V.W. & van Noordwijk, Meine, 2004. "Modelling the effects of leafing phenology on growth and water use by selected agroforestry tree species in semi-arid Kenya," Land Use and Water Resources Research, University of Newcastle upon Tyne, Centre for Land Use and Water Resources Research, vol. 4, pages 1-11.
  • Handle: RePEc:ags:luawrr:47874
    DOI: 10.22004/ag.econ.47874
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    Cited by:

    1. Luedeling, Eike & Smethurst, Philip J. & Baudron, Frédéric & Bayala, Jules & Huth, Neil I. & van Noordwijk, Meine & Ong, Chin K. & Mulia, Rachmat & Lusiana, Betha & Muthuri, Catherine & Sinclair, Ferg, 2016. "Field-scale modeling of tree–crop interactions: Challenges and development needs," Agricultural Systems, Elsevier, vol. 142(C), pages 51-69.
    2. Florent Noulèkoun & Asia Khamzina & Jesse B. Naab & Ni’matul Khasanah & Meine Van Noordwijk & John P. A. Lamers, 2018. "Climate Change Sensitivity of Multi-Species Afforestation in Semi-Arid Benin," Sustainability, MDPI, vol. 10(6), pages 1-23, June.
    3. Meine van Noordwijk & Richard Coe & Fergus L. Sinclair & Eike Luedeling & Jules Bayala & Catherine W. Muthuri & Peter Cooper & Roeland Kindt & Lalisa Duguma & Christine Lamanna & Peter A. Minang, 2021. "Climate change adaptation in and through agroforestry: four decades of research initiated by Peter Huxley," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 26(5), pages 1-33, June.

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