Climate Change and Irrigation Water: Should the North/South Hierarchy of Impacts on Agricultural Systems Be Reconsidered?

Barberis, Delphine; Chiadmi, Ines; Humblot, Pierre; Jayet, Pierre-Alain; Lungarska, Anna; Ollier, Maxime

doi:10.1007/s10666-020-09724-8

Cited by 4 publications

(3 citation statements)

References 28 publications

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“…This is close to the findings of Barberis [ 53 ] and Liu et al [ 54 ]. This phenomenon should be due to the multiple effects of climate change on agricultural production [ 55 ]. Climate change has led to unusual droughts in some areas, and low rainfall means increased irrigation equipment [ 56 ], which increases energy consumption and further increases agricultural carbon emissions.…”

Section: Discussionmentioning

confidence: 99%

Dynamic Linkages among Climate Change, Mechanization and Agricultural Carbon Emissions in Rural China

Yang

Huang

Wang

et al. 2022

IJERPH

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Climate change has become a major environmental issue facing all countries, having a significant effect on all aspects of agricultural production, such as the agricultural mechanization process and fertilizer use. Greenhouse gases produced by agricultural machinery and fertilizers during agricultural production are an important cause of climate change. On the basis of the above facts, researching the connection between agricultural mechanization, climate change, and agricultural carbon emissions is crucial for the development of low-carbon agriculture and for addressing climate change. We used a variety of econometric models and methods to analyze data from China’s multiple provinces (cities) covering the years 2000 through 2019, in order to meet the research objectives. Furthermore, we utilized rainfall and sunlight as variables to assess climate change and adopted Granger tests to establish the link between rainfall, sunlight, agricultural mechanization, and carbon emissions in farming. The findings indicate a bidirectional causality relationship between rainfall, sunlight, agricultural mechanization, and carbon emissions in farming. Rainfall and sunlight are Granger causes of agricultural mechanization. Furthermore, agricultural mechanization has favorable effects on carbon emissions of agriculture, and climate change has long-term implications on agricultural mechanization and carbon emissions of agriculture. Finally, this paper investigated the green path suitable for the low-carbon development of Chinese agriculture, arguing that the government should formulate low-carbon agricultural policies by region and actively promote the upgrading of agricultural machinery.

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Section: Discussionmentioning

confidence: 99%

Dynamic Linkages among Climate Change, Mechanization and Agricultural Carbon Emissions in Rural China

Yang

Huang

Wang

et al. 2022

IJERPH

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“…When integrated at the CIS level (e.g., through a GIS), some of these models allow for the estimation of GIR (Equation ( 12)) and SIR (Equation ( 11)). [185,186] Conceptual water balance models usually present empirical modules and/or energy balance approaches [187,188] for the estimation of crop water requirements (ET). The most commonly used empirical approach for estimating crop ET is the FAO K c -ET o , which provides good estimations of ET under various climatic conditions [189].…”

Section: Estimation Of the Water Use At The Collective Irrigation Sys...mentioning

confidence: 99%

Methodologies for Water Accounting at the Collective Irrigation System Scale Aiming at Optimizing Water Productivity

et al. 2023

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To improve water use efficiency and productivity, particularly in irrigated areas, reliable water accounting methodologies are essential, as they provide information on the status and trends in irrigation water availability/supply and consumption/demand. At the collective irrigation system level, irrigation water accounting (IWA) relies on the quantification of water fluxes from the diversion point to the plants, at both the conveyance and distribution network and the irrigated field level. Direct measurement is the most accurate method for IWA, but in most cases, there is limited metering of irrigation water despite the increasing pressure on both groundwater and surface water resources, hindering the water accounting procedures. However, various methodologies, tools, and indicators have been developed to estimate the IWA components, depending on the scale and the level of detail being considered. Another setback for the wide implementation of IWA is the vast terminology used in the literature for different scales and levels of application. Thus, the main objectives of this review, which focuses on IWA for collective irrigation services, are to (i) demonstrate the importance of IWA by showing its relationship with water productivity and water use efficiency; (ii) clarify the concepts and terminology related to IWA; and (iii) provide an overview of various approaches to obtain reliable data for the IWA, on the demand side, both at the distribution network and on-farm systems. From the review, it can be concluded that there is a need for reliable IWA, which provides a common information base for all stakeholders. Future work could include the development of user-friendly tools and methodologies to reduce the bridge between the technology available to collect and process the information on the various water accounting components and its effective use by stakeholders.

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“…Other models include AROPAj (Barberis et al, 2021) and GlobAgri-WRR (Le Mouël et al, 2016) used in different European studies. GlobAgri-WRR is a global accounting and biophysical model that is designed to quantify GHG emissions and land-use demands related to agricultural production for specified levels of diets, population, non-food uses, food loss and waste and production systems (techniques, crop yields) in every country of the world.…”

Section: Implementing the 'Ideal Model': Current Approachesmentioning

confidence: 99%

Advances in integrating different models assessing the impact of climate change on agriculture

Bergez¹,

Constantin²,

Debaeke³

et al. 2023

Burleigh Dodds Series in Agricultural Science

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The impact of climate change on the agricultural sector is causing considerable concern worldwide. Using modelling and simulation to analyse the impact of and ways to mitigate climate change is challenging. However, over the last few decades modelling approaches have evolved to tackle this problem. This chapter presents the various advances of integrating different models that assess the effects of climate change on agriculture. Based on an ‘ideal’ modelling archetype, we discuss different solutions such as: i) a complete and balanced integration of models; ii) coupling sub-models; iii) integrating new knowledge and facilitating inter-operability; iv) integrating behaviours and decision-making to adapt to climate change; v) incorporating inter- and intra-species diversity into models; vi) from white to black box models and vii) ensemble modelling. The chapter includes examples of all these solutions. The last section explains why these modelling solutions may be insufficient and discusses future trends in modelling.

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Climate Change and Irrigation Water: Should the North/South Hierarchy of Impacts on Agricultural Systems Be Reconsidered?

Cited by 4 publications

References 28 publications

Dynamic Linkages among Climate Change, Mechanization and Agricultural Carbon Emissions in Rural China

Dynamic Linkages among Climate Change, Mechanization and Agricultural Carbon Emissions in Rural China

Methodologies for Water Accounting at the Collective Irrigation System Scale Aiming at Optimizing Water Productivity

Advances in integrating different models assessing the impact of climate change on agriculture

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