000 00595nab|a22002177a|4500
999 _c59567
_d59559
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003 MX-TxCIM
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008 180521s2018||||ne |||p|op||||00||0|eng|d
024 8 _ahttps://doi.org/10.1016/j.ecolmodel.2018.04.008
040 _aMX-TxCIM
041 _aeng
100 1 _aDunnett, A
245 1 _aMulti-objective land use allocation modelling for prioritizing climate-smart agricultural interventions
_h[Electronic Resource]
260 _bElsevier,
_c2018.
_aAmsterdam, Netherlands :
500 _aPeer review
500 _aOpen Access
520 _aClimate-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.
546 _aText in English
650 7 _2AGROVOC
_91045
_aClimate change
650 7 _2AGROVOC
_97433
_aLand access
650 7 _2AGROVOC
_92419
_aClimate-smart agriculture
650 7 _2AGROVOC
_96026
_aAdaptation
650 7 _2AGROVOC
_98631
_aPrioritization
650 7 _98900
_aOptimization Methods
_2AGROVOC
700 1 _92421
_aShirsath, P.B.
_8I1706976
_gBorlaug Institute of South Asia
700 1 _92418
_aAGGARWAL, P.K.
_gBISA Regional Program Leader
_8I1706967
700 1 _92413
_aThornton, P.K.
700 1 _92420
_aJoshi, P.K.
700 1 _aPal, B.D.
_97434
700 1 _91402
_aKhatri-Chhetri, A.
_8I1706974
_gBorlaug Institute of South Asia
700 1 _aGhosh, J.
_97437
773 0 _tEcological Modelling
_gv. 381, p. 23-35
_dElsevier B.V., 2018
_x0304-3800 (Print)
856 4 _yOpen Access trough Dspace
_uhttps://hdl.handle.net/10883/19491
942 _cJA
_n0
_2ddc