Competition, land rehabilitation & research communication.
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Competition, land rehabilitation & research communication.

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    Competition, land rehabilitation & research communication. Competition, land rehabilitation & research communication. Presentation Transcript

    • Competition, land rehabilitation & research communication. Gert Nyberg, Bekele Lemma, Zacharia Gnakambary, Jules Bayala, Edmundo Barrios, Henry Neufeldt, Bernard Vanlauwe, Hugues Bazie, Mats Öqvist, John Nyaga, Aida Bergues Tobella
    • Decrease in communal grazing land Decrease in inorganic fertilizer use. Increasing fertilizer price & no subside. Decrease in cattle number Decrease in manure increased removal of crop residue for fodder and fuel Decrease in soil fertility Decrease in forest cover
    • Trees Crops -Shade -Soil fertility animals - Shade around homestead - Fodder (leaves & pods) humans -Shade for resting and lunching -Farm equipments, fuel wood, construction material
    • Trees on farm lands • households - have trees on their farms • Common trees – acacia, croton and cordia – kela -acacia and croton – dorebafana • Distribution – scattered • Grown naturally- remnant or regenerated • Age –old and young trees • Management – pollarding and pruning (dominant) – To collect fuel wood, construction material, … – To reduce shade to acceptable level – Done once in a year or in two year or in three year • Benefits- crops cattle and humans
    • • Most households believe that on farm trees improve soil fertility – Very few think that trees are competitive with crops • Almost all recognize soil fertility differences under canopy and outside canopy – Evidences • soil color (darker), soil moisture, appearance of crops (vigor, taller, color of leaves …) – When applying fertilizers • 68 %, 52% (Kela, Dore) of households applied less fertilizer under canopy – Reason crops grow faster and collapse when applied on the same rate • 32 %, 48% (Kela, Dore) of the households claimed uniform application, but better crop performance under canopy
    • 0,000 20,000 40,000 60,000 80,000 100,000 120,000 0 1 2 3 4 resp rate/distance from trees Eucalytptus Markhamia Sesbania Sesbania in Napier 1 1,2 1,4 1,6 1,8 2 2,2 0 1 2 3 4 5 Eucalyptus Markhamia Sesbania Sesbania in Napier -21 -20 -19 -18 -17 -16 -15 0 1 2 3 4 5 Eucalyptus Markhamia Sesbania Sesbania in Napier y = -0,4071x - 14,606 R² = 0,8195 -19,000 -18,000 -17,000 -16,000 -15,000 -14,000 -13,000 -12,000 -11,000 -10,000 0 1 2 3 4 5 6 7 8 9
    • y = 0,3392x - 19,974 R² = 0,9923 y = 0,3079x - 19,823 R² = 0,998 y = 0,3153x - 19,828 R² = 0,9964 y = 0,3067x - 19,221 R² = 0,9929 -19,000 -18,000 -17,000 -16,000 -15,000 -14,000 -13,000 -12,000 5,000 6,000 7,000 8,000 9,000 10,000 11,000 12,000 13,000 14,000 15,000 dist 1 dist 2 dist 3 dist 4 y = 0,3601x - 19,785 R² = 0,9966 y = 0,4047x - 19,848 R² = 0,9741 y = 0,3822x - 19,817 R² = 0,9887 -18,500 -18,000 -17,500 -17,000 -16,500 -16,000 -15,500 -15,000 4,000 5,000 6,000 7,000 8,000 9,000 10,000 11,000 12,000 dist 1 dist 2 dist 3
    • Gully rehab Gully reference
    • Woodlot at farmers field Control
    • 0 1 2 3 4 5 6 7 8 C C ratio 2011 N N ratio 2011 P 2009 ic 2009 ic 2011 Woodlots/reference ratio
    • 0,0 10,0 20,0 30,0 40,0 50,0 60,0 woodlots 2009 control 2009 woodlots 2011 control 2011 mm/h b a c b bars with the same letter are not statistically different at p<0.05 Infiltrability four & six years after planting
    • Infiltration rates in land rehab sites 2009 & 2011 0 5 10 15 20 25 30 35 T C 2009 2011