Building a climate resilient farm: A risk based approach for understanding water, energy and emissions in irrigated agriculture

Jackson, Tamara; Hanjra, Munir A.; Khan, Shahbaz; Hafeez, Muhammad

doi:10.1016/j.agsy.2011.08.003

Cited by 28 publications

(12 citation statements)

References 50 publications

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“…According to Kahil [5], the severity of climate change impact depends on the degree of adaptation at the farm level, farmers' investment decisions and policy choices, and these factors are interrelated. Thus, it is necessary to recognize the effect that limitations in natural resources will have on agriculture to build resilience to climate change at the farm level [6].…”

Section: Introductionmentioning

confidence: 99%

The Impact of Climatic Change Adaptation on Agricultural Productivity in Central Chile: A Stochastic Production Frontier Approach

et al. 2017

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Adaptation to climate change is imperative to sustain and promote agricultural productivity growth, and site-specific empirical evidence is needed to facilitate policy making. Therefore, this study analyses the impact of climate change adaptation on productivity for annual crops in Central Chile using a stochastic production frontier approach. The data come from a random sample of 265 farms located in four municipalities with different agro-climatic conditions. To measure climate change adaptation, a set of 14 practices was used in three different specifications: binary variable, count and index; representing decision, intensity and quality of adaptation, respectively. The aforementioned alternative variables were used in three different stochastic production frontier models. Results suggest that the use of adaptive practices had a significant and positive effect on productivity; the practice with the highest impact on productivity was irrigation improvement. Empirical results demonstrate the relevance of climate change adaptation on farmers' productivity and enrich the discussion regarding the need to implement adaptation measures.

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Section: Introductionmentioning

confidence: 99%

The Impact of Climatic Change Adaptation on Agricultural Productivity in Central Chile: A Stochastic Production Frontier Approach

et al. 2017

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“…Meanwhile, the agricultural sector is highly sensitive to changes in precipitation and hydrological cycles that are significantly affected by changing climatic conditions. The problem is further intensified by considerable variations in crop yields and the associated water consumptions, making it difficult for farmers to plan their investments in terms of crop and irrigation patterns (Jackson et al 2011). Thus, proactive preparation for futures in a [2°C warmer world would require responses and adaptation actions in agricultural sectors (Jackson et al 2011;Park et al 2012;Wise et al 2014).…”

Section: A Systematic View On Agricultural Activities and Ghg Emissiomentioning

confidence: 99%

“…The problem is further intensified by considerable variations in crop yields and the associated water consumptions, making it difficult for farmers to plan their investments in terms of crop and irrigation patterns (Jackson et al 2011). Thus, proactive preparation for futures in a [2°C warmer world would require responses and adaptation actions in agricultural sectors (Jackson et al 2011;Park et al 2012;Wise et al 2014). Specifically, the following three parts should be incorporated into the robust adaptation planning under emission restriction targets for an agricultural sector (Fig.…”

Section: A Systematic View On Agricultural Activities and Ghg Emissiomentioning

confidence: 99%

Adaptation strategies for mitigating agricultural GHG emissions under dual-level uncertainties with the consideration of global warming impacts

Yue

Cai

et al. 2016

Stoch Environ Res Risk Assess

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Agriculture plays a central role in maintaining food security and achieving sustainable development for human society. It is a challenge for the agricultural sector to mitigate greenhouse gas (GHG) emissions and maintain agricultural production. However, dual-level uncertainties exist in the processes of agricultural GHG accounting and emission reduction management. In this research, an integrated approach for identifying adaptation strategies in agricultural GHG emission reduction management was developed through incorporating life cycle analysis (LCA) of agricultural production into a general mathematical programming model. This approach strengthened the applicability of LCA and the comprehensiveness of programming models in generating agricultural adaptive actions under different GHG emission restriction targets. Also, dual-level uncertainties of LCA and adaptation management can be effectively addressed. A case study was proposed to illustrate application of the approach in Dalian City, China. The results indicated that farming patterns in eight districts would change significantly. The total area of maize fields would account for the primary proportion (i.e., 40-45 %) in its agricultural sector. Rice, peanut and cabbage fields would be the minor contributors in terms of GHG emissions. In addition to effective rainfall (i.e., [156, 259] mm/ha), a certain amount of water would be supplied for agricultural irrigation to maximize the city's agricultural yields. Compared with other agricultural crops, rice fields would need the largest amount of irrigation water (i.e., [153.72, 277.98] Mt) to meet the requirements of local government plans.

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“…It is estimated from the total amount of energy associated with an input (MJ) and multiplying it with equivalent emissions factors (CO 2−e ). This method has been used in several previous studies (Barber 2004;Khan et al 2008;Jackson et al 2011). Animal and human labor was not included in the emission budget.…”

Section: Water Energy and Emission Budgetmentioning

confidence: 99%

“…In developing countries, the energy and water use in agriculture largely remains inefficient (Chen et al 2008;Jackson et al 2011). The tendency towards inefficient input systems and current levels of energy inefficiency in agricultural systems may be due to lack of awareness and low energy costs.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of groundwater-based irrigation systems using a water–energy–food nexus approach: a case study from Southeast Nepal

Shrestha

Adhikari

Babel

et al. 2015

Journal of Applied Water Engineering and Research

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This study aims to evaluate the performance of groundwater-based tube well irrigation systems of Sarlahi District in Nepal considering a water–energy–food nexus approach. The deep tube well (DTW) irrigation systems showed better performance over shallow tube well (STW) irrigation systems in terms of water supply and agricultural output per unit of irrigated area. On the other hand, the STW-based irrigation systems showed better performance in terms of energy use, management operation and maintenance (MOM) cost and benefit–cost ratio compared to DTW-irrigated systems. The productivity of irrigation water and energy input to major crops showed the best performance for maize followed by rice and wheat. The simulated yields of cereal crops through the AquaCrop model showed significant scope for enhancing crop yields and associated benefits through judicious use of water and fertilizer. (Résumé d’auteur

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Building a climate resilient farm: A risk based approach for understanding water, energy and emissions in irrigated agriculture

Cited by 28 publications

References 50 publications

The Impact of Climatic Change Adaptation on Agricultural Productivity in Central Chile: A Stochastic Production Frontier Approach

The Impact of Climatic Change Adaptation on Agricultural Productivity in Central Chile: A Stochastic Production Frontier Approach

Adaptation strategies for mitigating agricultural GHG emissions under dual-level uncertainties with the consideration of global warming impacts

Evaluation of groundwater-based irrigation systems using a water–energy–food nexus approach: a case study from Southeast Nepal

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