Multi-objective land use allocation modelling for prioritizing climate-smart agricultural interventions

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dc.creatorAggarwal, Pramod K.
dc.creatorThornton, Philip K.
dc.creatorDunnett, Alex
dc.creatorShirsath, Paresh Bhaskar
dc.creatorJoshi, Pramod K.
dc.creatorPal, Barun Deb
dc.creatorKhatri-Chhetri, Arun
dc.creatorGhosh, Joydeep
dc.date2018-08
dc.date2018-05-16T11:45:11Z
dc.date2018-05-16T11:45:11Z
dc.date.accessioned2026-06-27T17:16:19Z
dc.descriptionClimate-smart interventions in agriculture have varying costs and environmental and economic impacts. Their implementation requires appropriate investment decisions by policy makers that are relevant for current as well as future scenarios of agro-ecology, climate and economic development. Decision support tools are therefore needed to assist different stakeholders to prioritize and hence implement appropriate strategic interventions. These interventions transform agriculture ecosystems to climate-resilient, adaptive and efficient. This paper outlines the mathematical modelling framework of one such, the Climate Smart Agricultural Prioritization (CSAP) toolkit. This toolkit employs a dynamic, spatially-explicit multi-objective optimization model to explore a range of agricultural growth pathways coupled with climate-adaptation strategies to meet agricultural development and environmental goals. The toolkit consists of three major components: (i) land evaluation including assessment of resource availability, land suitability, yield and input-output estimation for all promising crop production practices and technologies for key agro-ecological units; (ii) formulation of scenarios based on policy views and development plans; and (iii) land-use optimization in the form of linear programming models. Climate change and socio-economic drivers condition the land evaluation, technological input-output relations, and specification of optimization objectives that define modelled scenarios. By integrating detailed bottom-up biophysical, climate impact and agricultural-emissions models, CSAP is capable of supporting multi-objective analysis of agricultural production goals in relation to food self-sufficiency, incomes, employment and mitigation targets, thus supporting a wide range of analyses ranging from food security assessment to environmental impact assessment to preparation of climate smart development plans.
dc.identifierhttps://hdl.handle.net/10568/92571
dc.identifier.urihttp://hdl.handle.net/123456789/147334
dc.languageen
dc.publisherElsevier
dc.rightsOpen Access
dc.sourceDunnett A, Shirsath PB, Aggarwal PK, Thornton P, Joshi PK, Pal BD, Khatri-Chhetri A, Ghosh J. 2018. Multi-objective land use allocation modelling for prioritizing climate-smart agricultural interventions. Ecological Modelling 381:23-35.
dc.subjectclimate change
dc.subjectagriculture
dc.subjectfood security
dc.subjectclimate-smart agriculture
dc.subjectadaptation
dc.subjectagricultural production
dc.subjectagroecology
dc.subjectmathematical models
dc.subjectoptimization methods
dc.subjectdecision-support systems
dc.subjectagricultural research
dc.subjectinvestment policies
dc.subjectland allocation
dc.subjectland use
dc.subjectclimate change adaptation
dc.subjectclimate change mitigation
dc.subjectagricultural development
dc.subjectenvironmental impact assessment
dc.subjectagroecosystems
dc.subjectresilience
dc.titleMulti-objective land use allocation modelling for prioritizing climate-smart agricultural interventions
dc.typeJournal Article

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Instituto Internacional de Investigaciones Pecuarias (ILRI)