Innovating and scaling risk reducing measures for farmers and livestock keepers in the drylands

In the drylands, low and variable rainfall patterns often leave poor communities dependent on rainfed pastoral and agropastoral production highly vulnerable. Risk reducing measures in the form of innovative insurance schemes for livestock producers, or climate risk tools for tactical agronomic manag...

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Main Authors: Whitbread, Anthony M., Akinseye, M. Folorunso, Banerjee, Rupsha R., Dhulipala, Ram, Diouf, Fatoumata Bintou, Faye, Aliou, Faye, Adama, Joseph, Emanuel Jacob, Kebe, Amy, Konte, Oumar, Paliwal, Ambica, Sow, Fafa, Wane, Abdrahmane, Worou, Nadine
Format: Ponencia
Language:Inglés
Published: 2023
Subjects:
Online Access:https://hdl.handle.net/10568/136138
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author Whitbread, Anthony M.
Akinseye, M. Folorunso
Banerjee, Rupsha R.
Dhulipala, Ram
Diouf, Fatoumata Bintou
Faye, Aliou
Faye, Adama
Joseph, Emanuel Jacob
Kebe, Amy
Konte, Oumar
Paliwal, Ambica
Sow, Fafa
Wane, Abdrahmane
Worou, Nadine
author_browse Akinseye, M. Folorunso
Banerjee, Rupsha R.
Dhulipala, Ram
Diouf, Fatoumata Bintou
Faye, Adama
Faye, Aliou
Joseph, Emanuel Jacob
Kebe, Amy
Konte, Oumar
Paliwal, Ambica
Sow, Fafa
Wane, Abdrahmane
Whitbread, Anthony M.
Worou, Nadine
author_facet Whitbread, Anthony M.
Akinseye, M. Folorunso
Banerjee, Rupsha R.
Dhulipala, Ram
Diouf, Fatoumata Bintou
Faye, Aliou
Faye, Adama
Joseph, Emanuel Jacob
Kebe, Amy
Konte, Oumar
Paliwal, Ambica
Sow, Fafa
Wane, Abdrahmane
Worou, Nadine
author_sort Whitbread, Anthony M.
collection Repository of Agricultural Research Outputs (CGSpace)
description In the drylands, low and variable rainfall patterns often leave poor communities dependent on rainfed pastoral and agropastoral production highly vulnerable. Risk reducing measures in the form of innovative insurance schemes for livestock producers, or climate risk tools for tactical agronomic management for farmers, have been piloted by the CGIAR and its partners in many dryland geographies. At their core are the use of crop and pasture models, spatial data from remotely sensed imagery, historical time series weather datasets which, when linked to expert knowledge of the system, are used together to develop triggers for decision making or action. For example, for pastoralists in Kenya, Ethiopia and Somalia, the index-based livestock insurance (IBLI) products linked to fodder availability (biomass), have been scaled to the regional level as de-risking instruments. In crop-based systems, a decision support tool called ‘iSAT’ defines a process to create context specific climate informed agro-advisories for use in tactical agronomic decisions making at the farm level. For livestock keepers in mixed crop-livestock systems the decisions which are linked to climate throughout the life-cycle of fodder and animal components are used to develop actionable management strategies. In these examples, models have been used in a participatory mode to develop scenarios that farmers face in their day-to-day management. When linked to medium range and seasonal climate forecasts, future climate change predictions, bioeconomic analysis for example, the scenarios can be communicated to decision makers in a: (i) strategic mode to design more resilient farming systems; or (ii) in a tactical mode as the prevailing season unfolds leading to more informed climate risk management. Low-cost internet, affordable smartphones, mobile network penetration, cloud computing and novel communication methods (e,g. SMS and IVR), increasingly offer unprecedented opportunities for the dissemination of information to farmers through digital channels and to re-imagine agriculture advisory. Digital technologies also enable innovative and affordable methods of acquiring and sharing data, ground truthing, and user feedback especially in data sparse and hostile environments.
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spelling CGSpace1361382025-12-08T09:54:28Z Innovating and scaling risk reducing measures for farmers and livestock keepers in the drylands Whitbread, Anthony M. Akinseye, M. Folorunso Banerjee, Rupsha R. Dhulipala, Ram Diouf, Fatoumata Bintou Faye, Aliou Faye, Adama Joseph, Emanuel Jacob Kebe, Amy Konte, Oumar Paliwal, Ambica Sow, Fafa Wane, Abdrahmane Worou, Nadine aiccra senegal climate risks livestock climate change agriculture isat In the drylands, low and variable rainfall patterns often leave poor communities dependent on rainfed pastoral and agropastoral production highly vulnerable. Risk reducing measures in the form of innovative insurance schemes for livestock producers, or climate risk tools for tactical agronomic management for farmers, have been piloted by the CGIAR and its partners in many dryland geographies. At their core are the use of crop and pasture models, spatial data from remotely sensed imagery, historical time series weather datasets which, when linked to expert knowledge of the system, are used together to develop triggers for decision making or action. For example, for pastoralists in Kenya, Ethiopia and Somalia, the index-based livestock insurance (IBLI) products linked to fodder availability (biomass), have been scaled to the regional level as de-risking instruments. In crop-based systems, a decision support tool called ‘iSAT’ defines a process to create context specific climate informed agro-advisories for use in tactical agronomic decisions making at the farm level. For livestock keepers in mixed crop-livestock systems the decisions which are linked to climate throughout the life-cycle of fodder and animal components are used to develop actionable management strategies. In these examples, models have been used in a participatory mode to develop scenarios that farmers face in their day-to-day management. When linked to medium range and seasonal climate forecasts, future climate change predictions, bioeconomic analysis for example, the scenarios can be communicated to decision makers in a: (i) strategic mode to design more resilient farming systems; or (ii) in a tactical mode as the prevailing season unfolds leading to more informed climate risk management. Low-cost internet, affordable smartphones, mobile network penetration, cloud computing and novel communication methods (e,g. SMS and IVR), increasingly offer unprecedented opportunities for the dissemination of information to farmers through digital channels and to re-imagine agriculture advisory. Digital technologies also enable innovative and affordable methods of acquiring and sharing data, ground truthing, and user feedback especially in data sparse and hostile environments. 2023-12-20 2024-01-03T14:08:19Z 2024-01-03T14:08:19Z Presentation https://hdl.handle.net/10568/136138 en Open Access application/pdf Whitbread., A, Akinseye F.M, Banerjee R, Dhulipala R, Diouf F.B, Faye A, Faye A, Joseph J.E, Kebe A, Konte O, Paliwal A, Sow F, Wane A, Worou N.O. 2023. Innovating and scaling risk reducing measures for farmers and livestock keepers in the drylands. AICCRA Presentation. Accelerating Impacts of CGIAR Climate Research for Africa (AICCRA).
spellingShingle aiccra senegal
climate risks
livestock
climate change
agriculture
isat
Whitbread, Anthony M.
Akinseye, M. Folorunso
Banerjee, Rupsha R.
Dhulipala, Ram
Diouf, Fatoumata Bintou
Faye, Aliou
Faye, Adama
Joseph, Emanuel Jacob
Kebe, Amy
Konte, Oumar
Paliwal, Ambica
Sow, Fafa
Wane, Abdrahmane
Worou, Nadine
Innovating and scaling risk reducing measures for farmers and livestock keepers in the drylands
title Innovating and scaling risk reducing measures for farmers and livestock keepers in the drylands
title_full Innovating and scaling risk reducing measures for farmers and livestock keepers in the drylands
title_fullStr Innovating and scaling risk reducing measures for farmers and livestock keepers in the drylands
title_full_unstemmed Innovating and scaling risk reducing measures for farmers and livestock keepers in the drylands
title_short Innovating and scaling risk reducing measures for farmers and livestock keepers in the drylands
title_sort innovating and scaling risk reducing measures for farmers and livestock keepers in the drylands
topic aiccra senegal
climate risks
livestock
climate change
agriculture
isat
url https://hdl.handle.net/10568/136138
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