Tackling climate risk to sustainably intensify smallholder maize farming systems in southern Africa

被引:3
|
作者
Nelson, William C. D. [1 ]
Hoffmann, Munir P. [2 ]
May, Carlotta [1 ]
Mashao, Frederick [3 ,4 ]
Ayisi, Kingsley [3 ]
Odhiambo, Jude [5 ]
Bringhenti, Thomas [1 ]
Feil, Jan Henning [6 ]
Bakhsh, Sara Yazdan [6 ,7 ]
Abdulai, Issaka [1 ]
Roetter, Reimund P. [1 ,8 ]
机构
[1] Georg August Univ Gottingen, Trop Plant Prod & Agr Syst Modelling TROPAGS, Grisebachstr 6, D-37077 Gottingen, Germany
[2] AGVOLUTION GmbH, Phillip Reis Str 2, D-37073 Gottingen, Germany
[3] Univ Limpopo, Risk & Vulnerabil Sci Ctr, Private Bag X1106, ZA-0727 Polokwane, South Africa
[4] Univ Limpopo, Dept Geog & Environm Studies, Private Bag X1106, ZA-0727 Polokwane, South Africa
[5] Univ Venda, Sch Agr, Dept Soil Sci, Private Bag X5050, ZA-0950 Thohoyandou, South Africa
[6] South Westphalia Univ Appl Sci, Dept Agr Econ, D-59474 Soest, Germany
[7] Georg August Univ Gottingen, Dept Agr Econ & Rural Dev, Pl Gottinger Sieben 5, D-37073 Gottingen, Germany
[8] Georg August Univ Gottingen, Ctr Biodivers & Sustainable Land Use CBL, Busgenweg 1, D-37077 Gottingen, Germany
关键词
crop modelling; smallholder maize farming; drought adaptation; sustainable intensification; SUB-SAHARAN AFRICA; YIELD GAPS; WATER PRODUCTIVITY; CROP YIELD; VARIABILITY; MANAGEMENT; NITROGEN; IRRIGATION; SIMULATION; FERTILIZER;
D O I
10.1088/1748-9326/ac77a3
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Sustainable intensification (SI) of low input farming systems is promoted as a strategy to improve smallholder farmer food security in southern Africa. Using the Limpopo province South Africa as a case study (four villages across a climate gradient), we combined survey data (140 households) and quantitative agronomic observations to understand climate-induced limitations for SI of maize-based smallholder systems. Insights were used to benchmark the agroecosystem model Agricultural Production System sIMulator, which was setup to ex ante evaluate technology packages (TPs) over 21-seasons (1998-2019): TP0 status quo (no input, broadcast sowing), TP1 fertiliser (micro dosing), TP2 planting density (recommended), TP3 weeding (all removed), TP4 irrigation, TP5 planting date (early, recommended), and TP6 all combined (TPs 1-5). An additional TP7 (forecasting) investigated varying planting density and fertiliser in line with weather forecasts. Input intensity levels were low and villages expressed similar challenges to climate risk adaptation, with strategies mostly limited to adjusted planting dates and densities, with less than 2% of farmers having access to water for irrigation. Simulations showed that combining all management interventions would be expected to lead to the highest mean maize grain yields (3200 kg ha(-1) across villages) and the lowest harvest failure risk compared to individual interventions. Likewise, simulations suggested that irrigation alone would not result in yield gains and simple agronomic adjustments in line with weather forecasts indicated that farmers could expect to turn rainfall variability into an opportunity well worth taking advantage of. Our study emphasises the need for a cropping systems approach that addresses multiple crop stresses simultaneously.
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页数:13
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