A guide towards climate change adaptation in the livestock sector: adaptation options and the role of robust decision-making tools for their economic appraisal
Abstract:Economic appraisal and technical effectiveness of adaptation options are key criteria for judging climate change adaptation investment decisions in all sectors. Yet relatively little methodological guidance exists for determining the most appropriate appraisal techniques for different adaptation options. This paper provides adaptation options and scopes relevant appraisal methods in agriculture focussing on livestock production specifically. We find that for many adaptation options for livestock agriculture, s… Show more
“…3, C), and represents the CC adaptation-specific aspect of Dynamic change modelling . Recent work has started to consider the application of approaches from other disciplines to agricultural settings, in order to build understanding of how changes in the efficacy of CC adaptations over time, and uncertainty in conditions and outcomes, can be incorporated into assessments of adaptation strategies (Dittrich et al, 2017).…”
Section: Resultsmentioning
confidence: 99%
“…Given the unavoidability of uncertainty about future choices, one approach is to produce a range of outcomes based on different scenarios and adaptation choices which stakeholders can subsequently discuss, rather than ranking outcomes to suggest a recommended ‘best’ action (Dittrich et al, 2017; Mandryk et al, 2014). Model findings may also be presented in the context of a critical assessment of wider implications of implementation including adaptation effects on social or environmental objectives such farm income, CC mitigation, or water quality; e.g.…”
Section: Illustrative Reviews Of Modelling Climate Change Adaptationmentioning
Modelling is key to adapting agriculture to climate change (CC), facilitating evaluation of the impacts and efficacy of adaptation measures, and the design of optimal strategies. Although there are many challenges to modelling agricultural CC adaptation, it is unclear whether these are novel or, whether adaptation merely adds new motivations to old challenges. Here, qualitative analysis of modellers’ views revealed three categories of challenge: Content, Use, and Capacity. Triangulation of findings with reviews of agricultural modelling and Climate Change Risk Assessment was then used to highlight challenges specific to modelling adaptation. These were refined through literature review, focussing attention on how the progressive nature of CC affects the role and impact of modelling. Specific challenges identified were: Scope of adaptations modelled, Information on future adaptation, Collaboration to tackle novel challenges, Optimisation under progressive change with thresholds, and Responsibility given the sensitivity of future outcomes to initial choices under progressive change.
“…3, C), and represents the CC adaptation-specific aspect of Dynamic change modelling . Recent work has started to consider the application of approaches from other disciplines to agricultural settings, in order to build understanding of how changes in the efficacy of CC adaptations over time, and uncertainty in conditions and outcomes, can be incorporated into assessments of adaptation strategies (Dittrich et al, 2017).…”
Section: Resultsmentioning
confidence: 99%
“…Given the unavoidability of uncertainty about future choices, one approach is to produce a range of outcomes based on different scenarios and adaptation choices which stakeholders can subsequently discuss, rather than ranking outcomes to suggest a recommended ‘best’ action (Dittrich et al, 2017; Mandryk et al, 2014). Model findings may also be presented in the context of a critical assessment of wider implications of implementation including adaptation effects on social or environmental objectives such farm income, CC mitigation, or water quality; e.g.…”
Section: Illustrative Reviews Of Modelling Climate Change Adaptationmentioning
Modelling is key to adapting agriculture to climate change (CC), facilitating evaluation of the impacts and efficacy of adaptation measures, and the design of optimal strategies. Although there are many challenges to modelling agricultural CC adaptation, it is unclear whether these are novel or, whether adaptation merely adds new motivations to old challenges. Here, qualitative analysis of modellers’ views revealed three categories of challenge: Content, Use, and Capacity. Triangulation of findings with reviews of agricultural modelling and Climate Change Risk Assessment was then used to highlight challenges specific to modelling adaptation. These were refined through literature review, focussing attention on how the progressive nature of CC affects the role and impact of modelling. Specific challenges identified were: Scope of adaptations modelled, Information on future adaptation, Collaboration to tackle novel challenges, Optimisation under progressive change with thresholds, and Responsibility given the sensitivity of future outcomes to initial choices under progressive change.
“…The model calculations of a livestock confinement building for fattening-growing pigs show that heat stress is a major concern. For pig farmers, economic losses due to heat stress can result in a reduction of feed efficiency, growth rate, egg and meat production, semen quality as well as infertility, reproductive disorders, or increasing death rates (Dittrich et al 2017;Renaudeau et al 2012;St-Pierre et al 2003).…”
Section: Discussionmentioning
confidence: 99%
“…In this context, air treatment devices are long-term structural measures and investments. The lead time and the lifetime of these measures determine their economic profitability (Dittrich et al 2017).…”
“…Increasingly, research on uncertainty and adaptive decision-making in farming is on the ascendancy (Beckford, 2002;Dittrich, Wreford, Topp, Eory, & Moran, 2017;Li, Guo, Bijman, & Heerink, 2018). This is attributable to the high sensitivity of farming activities to volatile conditions such as climate change, environmental degradation, resource conflict, urbanisation and institutional change (Crush & Battersby, 2016;Daher & Mohtar, 2015;Eakin, 2005;.…”
and the rest of the family. Such a blessing the family has been to me. In all these, my family has been pivotal with love and support. To my mum, Gifty Bentil, this is for you. To my dad-Bonaventure Nyamekye, my sister-Elsie Nyamekye and brother-Eric Frimpong Agyepong, your well wishes have yielded fruits.
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