000			04152nab|a22003617a|4500
001			67603
003			MX-TxCIM
005			20240612211901.0
008			20243s2024||||mx |||p|op||||00||0|eng|d
022			_a0308-521X
022			_a1873-2267 (Online)
024	8		_ahttps://doi.org/10.1016/j.agsy.2024.104014
040			_aMX-TxCIM
041			_aeng
100	1		_8001712974 _aMkondiwa, M. _gSustainable Agrifood Systems _926831
245	1	0	_aRisk-based evaluations of competing agronomic climate adaptation strategies : _bThe case of rice planting strategies in the indo-Gangetic Plains
260			_bElsevier Ltd., _c2024. _aUnited Kingdom :
500			_aPeer review
500			_aOpen Access
520			_aCONTEXT: Adjusting crop planting dates and variety durations is emerging as a crucial climate change adaptation strategy for many cereal systems. Such strategies include harmonizing crop planting with the onset of the rainy season or planting at specific recommended calendar dates. Evaluations of these strategies mostly consider yield and yield variability, but focus less on financial risks associated with different planting strategies and importance of risk aversion behaviour of the farmers in their decision to adopt the strategies. OBJECTIVE: Here, we present a novel framework that uses a computational spatial ex-ante approach for risk-based evaluations of agronomic adaptation options. This framework allows development agronomic adaptation recommendations that consider climate risks for risk-averse famrers. METHODS: We use a second order stochastic dominance approach that is paired with computational optimization—Golden section search algorithm. This approach allows a distributional assessment of risk and uncertainty by providing bounds at which even a risk averse would benefit from changing practices. This contrasts with conventional methods that do not consider farmers' risk aversion, e.g. mean-variance or conditional value at risk optimization methods. To demonstrate our approach, we compare the yield risks and economic risks associated with readily available gridded crop simulation outputs for various rice planting strategies across the Indo-Gangetic Plains (IGP)– a major region experiencing food insecurity and climate impacts. RESULTS AND CONCLUSIONS: The findings provide quantitative evidence about the riskiness of previously recommended rice planting date strategies. The risk-based assessment corroborates the recommendation for planting long-duration varieties at the monsoon onset with or without supplemental irrigation (covering about 22% of IGP area) in the Eastern IGP, and at state-recommended planting dates (covering about 38% of IGP area) in most of the Western and Middle IGP. Importantly, our risk-based assessment shows where the results are not as clear cut and which strategy is the least risky. This is especially important in the Middle IGP where farmers appear to have more flexibility to achieve comparable outcomes with several planting strategies. SIGNIFICANCE: In conclusion, the proposed approach provides a useful and novel tool for comparing different agronomic climate adaptation strategies from an economic risk perspective in a spatial framework.
546			_aText in English
597			_aClimate adaptation & mitigation _bExcellence in Agronomy _bAsian Mega-Deltas _cSystems Transformation _cResilient Agrifood Systems _d United States Agency for International Development (USAID) _dBill and Melinda Gates Foundation (BMGF) _uhttps://hdl.handle.net/10568/145204
650		7	_aSustainable agriculture _2AGROVOC _92327
650		7	_aClimate resilience _2AGROVOC _928838
650		7	_aIrrigation _2AGROVOC _91164
650		7	_aSmallholders _2AGROVOC _91763
650		7	_aWillingness to Pay _2AGROVOC _98946
650		7	_aRice _2AGROVOC _91243
700	1		_aUrfels, A. _8001711637 _gFormerly Sustainable Agrifood Systems _94925
773	0		_tAgricultural Systems _dUnited Kingdom : Elsevier Ltd., 2024. _x0308-521X _gv. 218, art. 104014 _wG444466
856	4		_yOpen Access through DSpace _uhttps://hdl.handle.net/10883/34570
942			_cJA _n0 _2ddc
999			_c67603 _d67595