Your search found 13 records
1 Smith, J.. 1992. New challenges confronting social scientists in International Agricultural Research Centers (IARCs) with eco-regional mandates: A summary of issues. In Collinson, M. P.; Platais, K. W. (Eds.) Social science research in the CGIAR: Proceedings of a Meeting of CGIAR Social Scientists held at ISNAR, the Hague, the Netherlands, 17-20 August 1992. Washington, DC, USA: CGIAR. pp.11-12. (CGIAR study paper no.28)
(Location: IWMI-HQ Call no: 338.1 G000 COL, P 2242/29 Record No: H010969)
(Location: IWMI-HQ Call no: P 3542 Record No: H014781)
3 Smith, J.; Barau, A. D.; Goldman, A.; Mareck, J. H. 1994? The role of technology in agricultural intensification: The evolution of production systems in the Northern Guinea Savanna of Nigeria. Forthcoming in Economic Development and Cultural Change. 30p.
(Location: IWMI-HQ Call no: P 3619 Record No: H015410)
4 Smith, J.; Weber, G. K. 1994? Strategic research in heterogenous mandate areas: An example from the West African Savanna. Forthcoming chapter in Anderson, J. (Ed.), Current policy issues for the international community. 31p.
(Location: IWMI-HQ Call no: P 3620 Record No: H015411)
5 Smith, J.. 1994. Socioeconomic characterization of environments and technologies. Ibadan, Nigeria: IITA. 36p. (IITA research guide 50)
(Location: IWMI-HQ Call no: P 3651 Record No: H015605)
6 Smith, J.; Eli, R. N. 1995. Neural-network models of rainfall-runoff process. Journal of Water Resources Planning and Management, 121(6):499-508.
(Location: IWMI-HQ Call no: PER Record No: H017448)
7 Hurd, B.; Leary, N.; Jones, R.; Smith, J.. 1999. Relative regional vulnerability of water resources to climate change. Journal of the American Water Resources Association, 35(6):1399-1409.
(Location: IWMI-HQ Call no: PER Record No: H025769)
8 Wright, J. A.; Smith, J.; Gundry, S. W.; Glasbey, C. 1999. Spatial simulation of rainfall data for crop production modeling in Southern Africa. In Oxley, L.; Scrimgeour, F. MODSIM 99 v International Congress on Modelling and Simulation: Modelling the dynamics of natural, agricultural, tourism and socio-economic systems. Proceedings, Volume 4, University of Waikato, Hamilton, New Zealand, 6th-9th December 1999. Canberra, Australia: Modelling and Simulation Society of Australia and New Zealand Inc. pp.1069-1074.
(Location: IWMI-HQ Call no: 003.3 G000 OXL Record No: H030430)
9 Macdonald, B. C. T.; White, I.; Heath, L.; Smith, J.; Keene, A. F.; Tunks, M.; Kinsela, A. 2006. Tracing the outputs from drained acid sulphate flood plains to minimize threats to coastal lakes. In Hoanh, Chu Thai; Tuong, T. P.; Gowing, J. W.; Hardy, B. (Eds.). Environment and livelihoods in tropical coastal zones: managing agriculture, fishery, aquaculture conflicts. Wallingford, UK: CABI; Los Banos, Philippines: International Rice Research Institute (IRRI); Colombo, Sri Lanka: International Water Management Institute (IWMI) pp.99-106. (Comprehensive Assessment of Water Management in Agriculture Series 2)
(Location: IWMI-HQ Call no: IWMI 639.8 G000 HOA Record No: H039109)
10 Moore, N.; Benmazhar, H.; Brent, K.; Du, H.; Iese, V.; Kone, S.; Luwesi, C. N.; Scott, V.; Smith, J.; Talberg, A.; Thompson, M.; Zhuo, Z. 2015. Climate engineering: early reflections on a complex conversation. Climate Law, 5(2-4):295-301. [doi: https://doi.org/10.1163/18786561-00504007]
(Location: IWMI HQ Call no: e-copy only Record No: H047282)
(0.10 MB)
11 Rockstrom, J.; Williams, J.; Daily, G.; Noble, A.; Matthews, N.; Gordon, L.; Wetterstrand, H.; DeClerck, F.; Shah, M.; Steduto, P.; de Fraiture, C.; Hatibu, N.; Unver, O.; Bird, Jeremy; Sibanda, L.; Smith, J.. 2017. Sustainable intensification of agriculture for human prosperity and global sustainability. Ambio, 46(1):4-17. [doi: https://doi.org/10.1007/s13280-016-0793-6]
(Location: IWMI HQ Call no: e-copy only Record No: H047656)
(1.93 MB)
There is an ongoing debate on what constitutes sustainable intensification of agriculture (SIA). In this paper, we propose that a paradigm for sustainable intensification can be defined and translated into an operational framework for agricultural development. We argue that this paradigm must now be defined—at all scales—in the context of rapidly rising global environmental changes in the Anthropocene, while focusing on eradicating poverty and hunger and contributing to human wellbeing. The criteria and approach we propose, for a paradigm shift towards sustainable intensification of agriculture, integrates the dual and interdependent goals of using sustainable practices to meet rising human needs while contributing to resilience and sustainability of landscapes, the biosphere, and the Earth system. Both of these, in turn, are required to sustain the future viability of agriculture. This paradigm shift aims at repositioning world agriculture from its current role as the world’s single largest driver of global environmental change, to becoming a key contributor of a global transition to a sustainable world within a safe operating space on Earth.
(Location: IWMI HQ Call no: e-copy only Record No: H048082)
The study analyses dis-adoption of biogas technologies in Central Uganda. Biogas technology makes use of livestock waste, crop material and food waste to produce a flammable gas that can be used for cooking and lighting. Use of biogas technology has multiple benefits for the households since it reduces the need for fuelwood for cooking and also produces bio-slurry which is a valuable fertilizer. Despite efforts by Government and Non-Governmental Organizations to promote the biogas technology, the rate of its adoption of biogas technology was found to be low, estimated at 25.8% of its potential. A review of literature showed that the households that dis-adopted biogas technology, did so within a period of 4 years after its installation, yet the lifespan of using it is estimated at 25 years. There was need to examine the factors contributing to dis-adoption. Using cross sectional data collected from Luwero and Mpigi districts found in Central Uganda, a probit model was estimated. The findings showed that an increase in the family size, the number of cattle, number of pigs and the age of the household head reduced the likelihood of biogas technology dis-adoption. Other factors that contributed to dis-adoption included the failure to sustain cattle and pig production that are necessary for feedstock supply, reduced availability of family labor the and inability of the households to repair biogas digesters after malfunctioning. Based on the findings, it was concluded that long term use of biogas technology required improved management practices on the farm so as to sustain livestock production. It is also recommended that quality standards and socio-cultural factors be considered in the design of biogas digesters and end use devices.
13 Smith, J.; Nayak, D.; Datta, A.; Narkhede, W. N.; Albanito, F.; Balana, Bedru; Bandyopadhyay, S. K.; Black, H.; Boke, S.; Brand, A.; Byg, A.; Dinato, M.; Habte, M.; Hallett, P. D.; Lemma, T.; Mekuria, Wolde; Moges, A.; Muluneh, A.; Novo, P.; Rivington, M.; Tefera, T.; Vanni, E. M.; Yakob, G.; Phimister, E. 2020. A systems model describing the impact of organic resource use on farming households in low to middle income countries. Agricultural Systems, 184:102895. [doi: https://doi.org/10.1016/j.agsy.2020.102895]
(Location: IWMI HQ Call no: e-copy only Record No: H049939)
(9.00 MB)
We present a new systems model that encompasses both environmental and socioeconomic outcomes to simulate impacts of organic resource use on livelihoods of smallholder farmers in low to middle income countries. It includes impacts on soils, which in many countries are degrading with long term loss of organic matter. Many farmers have easy access to animal manures that could be used to increase soil organic matter, but this precious resource is often diverted to other purposes, such as fuels, also resulting in loss of the nutrients needed for crop production. This model simulates impacts of different management options on soil organic matter turnover, availability of water and nutrients, crop and animal production, water and energy use, labour requirements and household income and expenditure. An evaluation and example application from India are presented and used to illustrate the importance of considering the whole farm system when developing recommendations to help farmers improve their soils.
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