By the same authors

From the same journal

Mapping the potential success of agricultural water management interventions for smallholders: Where are the best opportunities?

Research output: Contribution to journalArticle

Standard

Mapping the potential success of agricultural water management interventions for smallholders : Where are the best opportunities? / Barron, J.; Kemp-Benedict, E.; Morris, J.; de Bruin, A.; Wang, G.; Fencl, A.

In: Water Resources and Rural Development, Vol. 6, 11.2015, p. 24-49.

Research output: Contribution to journalArticle

Harvard

Barron, J, Kemp-Benedict, E, Morris, J, de Bruin, A, Wang, G & Fencl, A 2015, 'Mapping the potential success of agricultural water management interventions for smallholders: Where are the best opportunities?', Water Resources and Rural Development, vol. 6, pp. 24-49. https://doi.org/10.1016/j.wrr.2015.06.001

APA

Barron, J., Kemp-Benedict, E., Morris, J., de Bruin, A., Wang, G., & Fencl, A. (2015). Mapping the potential success of agricultural water management interventions for smallholders: Where are the best opportunities? Water Resources and Rural Development, 6, 24-49. https://doi.org/10.1016/j.wrr.2015.06.001

Vancouver

Barron J, Kemp-Benedict E, Morris J, de Bruin A, Wang G, Fencl A. Mapping the potential success of agricultural water management interventions for smallholders: Where are the best opportunities? Water Resources and Rural Development. 2015 Nov;6:24-49. https://doi.org/10.1016/j.wrr.2015.06.001

Author

Barron, J. ; Kemp-Benedict, E. ; Morris, J. ; de Bruin, A. ; Wang, G. ; Fencl, A. / Mapping the potential success of agricultural water management interventions for smallholders : Where are the best opportunities?. In: Water Resources and Rural Development. 2015 ; Vol. 6. pp. 24-49.

Bibtex - Download

@article{9fe01ef751a2440b89f38f92e63ad58a,
title = "Mapping the potential success of agricultural water management interventions for smallholders: Where are the best opportunities?",
abstract = "Abstract From field to basin scales, there are many appropriate interventions used to manage rainfall efficiently and productively in smallholder farming systems. Yet, successful targeting and scaling-out of these approaches remains a challenge. This paper presents an innovative approach in decision support called {\textquoteleft}Targeting Agricultural Water Management Interventions{\textquoteright} (TAGMI) with application in Limpopo and Volta river basins (available at http://www.seimapping.org/tagmi/). The online open-access TAGMI uses country-scale Bayesian network models to assess the likelihood of success for outscaling various agricultural water management (AWM) interventions at sub-national level. The web tool integrates multiple sources of expertise on the enabling environment for outscaling based on key social, human, physical, financial, and natural factors. It estimates the relative probability of success of an AWM intervention across the Limpopo and Volta river basins. Here we present TAGMI as a {\textquoteleft}proof of concept{\textquoteright}, areas of high, medium, and low probabilities of success for three AWM technologies common in Limpopo and Volta River Basins: the soil water conservation/in situ rainwater harvesting technologies in rain-fed systems, small-scale private irrigation and small reservoirs used for communal irrigation purposes. We then apply a climate change scenario and discuss the robustness in potential AWM, according to the TAGMI tool. Finally, we discuss the need for generic or specific information on {\textquoteleft}best practices of implementation{\textquoteright} for successful uptake of technologies in poverty-constrained smallholder farming systems.",
keywords = "Bayesian analysis, Limpopo, Rainwater harvesting, TAGMI, Technology adoption, Volta",
author = "J. Barron and E. Kemp-Benedict and J. Morris and {de Bruin}, A. and G. Wang and A. Fencl",
year = "2015",
month = nov,
doi = "10.1016/j.wrr.2015.06.001",
language = "English",
volume = "6",
pages = "24--49",
journal = "Water Resources and Rural Development",
issn = "2212-6082",
publisher = "Elsevier BV",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - Mapping the potential success of agricultural water management interventions for smallholders

T2 - Where are the best opportunities?

AU - Barron, J.

AU - Kemp-Benedict, E.

AU - Morris, J.

AU - de Bruin, A.

AU - Wang, G.

AU - Fencl, A.

PY - 2015/11

Y1 - 2015/11

N2 - Abstract From field to basin scales, there are many appropriate interventions used to manage rainfall efficiently and productively in smallholder farming systems. Yet, successful targeting and scaling-out of these approaches remains a challenge. This paper presents an innovative approach in decision support called ‘Targeting Agricultural Water Management Interventions’ (TAGMI) with application in Limpopo and Volta river basins (available at http://www.seimapping.org/tagmi/). The online open-access TAGMI uses country-scale Bayesian network models to assess the likelihood of success for outscaling various agricultural water management (AWM) interventions at sub-national level. The web tool integrates multiple sources of expertise on the enabling environment for outscaling based on key social, human, physical, financial, and natural factors. It estimates the relative probability of success of an AWM intervention across the Limpopo and Volta river basins. Here we present TAGMI as a ‘proof of concept’, areas of high, medium, and low probabilities of success for three AWM technologies common in Limpopo and Volta River Basins: the soil water conservation/in situ rainwater harvesting technologies in rain-fed systems, small-scale private irrigation and small reservoirs used for communal irrigation purposes. We then apply a climate change scenario and discuss the robustness in potential AWM, according to the TAGMI tool. Finally, we discuss the need for generic or specific information on ‘best practices of implementation’ for successful uptake of technologies in poverty-constrained smallholder farming systems.

AB - Abstract From field to basin scales, there are many appropriate interventions used to manage rainfall efficiently and productively in smallholder farming systems. Yet, successful targeting and scaling-out of these approaches remains a challenge. This paper presents an innovative approach in decision support called ‘Targeting Agricultural Water Management Interventions’ (TAGMI) with application in Limpopo and Volta river basins (available at http://www.seimapping.org/tagmi/). The online open-access TAGMI uses country-scale Bayesian network models to assess the likelihood of success for outscaling various agricultural water management (AWM) interventions at sub-national level. The web tool integrates multiple sources of expertise on the enabling environment for outscaling based on key social, human, physical, financial, and natural factors. It estimates the relative probability of success of an AWM intervention across the Limpopo and Volta river basins. Here we present TAGMI as a ‘proof of concept’, areas of high, medium, and low probabilities of success for three AWM technologies common in Limpopo and Volta River Basins: the soil water conservation/in situ rainwater harvesting technologies in rain-fed systems, small-scale private irrigation and small reservoirs used for communal irrigation purposes. We then apply a climate change scenario and discuss the robustness in potential AWM, according to the TAGMI tool. Finally, we discuss the need for generic or specific information on ‘best practices of implementation’ for successful uptake of technologies in poverty-constrained smallholder farming systems.

KW - Bayesian analysis

KW - Limpopo

KW - Rainwater harvesting

KW - TAGMI

KW - Technology adoption

KW - Volta

U2 - 10.1016/j.wrr.2015.06.001

DO - 10.1016/j.wrr.2015.06.001

M3 - Article

VL - 6

SP - 24

EP - 49

JO - Water Resources and Rural Development

JF - Water Resources and Rural Development

SN - 2212-6082

ER -