The impacts of interannual climate variability and agricultural inputs on water footprint of crop production in an irrigation district of China

Sun, Shikun; Wu, Pute; Wang, Yubao; Zhao, Xining; Liu, Jing; Zhang, Xiao­hong

doi:10.1016/j.scitotenv.2012.12.016

Cited by 144 publications

(98 citation statements)

References 22 publications

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“…To explore the WF and its influence mechanisms, scholars began to study the relationships between WF and individual factors, such as climatic factors and agricultural input [23,44,45]. The methodology employed in this study only included correlation analysis.…”

Section: Discussionmentioning

confidence: 99%

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Spatiotemporal Correlations between Water Footprint and Agricultural Inputs: A Case Study of Maize Production in Northeast China

Duan

Qin

Wang

et al. 2015

Water

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Abstract:To effectively manage water resources in agricultural production, it is necessary to understand the spatiotemporal variation of the water footprint (WF) and the influences of agricultural inputs. Employing spatial autocorrelation analysis and a geographically weighted regression (GWR) model, we explored the spatial variations of the WF and their relationships with agricultural inputs from 1998 to 2012 in Northeast China. The results indicated that: (1) the spatial distribution of WFs for the 36 major maize production prefectures was heterogeneous in Northeast China; (2) a cluster of high WFs was found in southeast Liaoning Province, while a cluster of low WFs was found in central Jilin Province, and (3) spatial and temporal differentiation in the correlations between the WF of maize production and agricultural inputs existed according to the GWR model. These correlations increased over time. Our results suggested that localized strategies for reducing the WF should be formulated based on specific relationships between the WF and agricultural inputs.

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Section: Discussionmentioning

confidence: 99%

“…Besides, the underlying factors influencing WFs were mostly investigated from the perspective of climate. In fact, the WF of crop production primarily depends on agricultural inputs rather than the regional climate and its variation [23]. Therefore, it is essential to investigate the relationships between the WF and agricultural inputs.…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Correlations between Water Footprint and Agricultural Inputs: A Case Study of Maize Production in Northeast China

Duan

Qin

Wang

et al. 2015

Water

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“…This study provided a new perspective of water use evaluation by water footprint, improving the comprehensive assessment of water use efficiency in irrigation. An improved calculation method was proposed to quantify the water footprint of crops by point scale [19]. On this basis, the results showed that a decreasing trend of integrated crop production water footprint was presented because of the comprehensive influences of interannual climate variability, agricultural input fluctuation and other factors.…”

Section: Introductionmentioning

confidence: 99%

Research on the Influencing Factors of Comprehensive Water Consumption by Impulse Response Function Analysis

Fang

Jia

et al. 2017

Water

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Jiangsu is a major province located in the east of China, consuming a large amount of water resources. It is considered that improving the comprehensive water use efficiency has an important significance to achieve sustainable development of the economy in Jiangsu. Through extensive literature research and investigation of Jiangsu Province, this paper establishes comprehensive water use efficiency index system using water consumption per ten thousand dollar gross domestic product (WC/$10 4 GDP) as the research target. In the index system, resource factors such as surface water resources (SW), groundwater resources (GW), precipitation (PT), water resources per capita (PW), water consumption per capita (PC) and irrigation area per capita (PI) cannot be artificially altered. Furthermore, the variation amplitude of resource factors is very small. It shows that the linear regression model is not suitable to analyze the resource factors by changing the independent variables. In view of this situation, this paper introduces impulse response function on the basis of vector autoregressive model (VAR) to investigate the intrinsic link between resource factors and WC/$10 4 GDP in Jiangsu Province. The results show that resource factors have a great impact on WC/$10 4 GDP in Jiangsu, and the per capita water resources (PW) has the most significant impact.

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“…As the primary consumer of water resources around the world, agriculture is being increasingly squeezed by the demands from other society sectors and threatened by potential climate change (Sun et al, 2013;Thorburn, 2013). Furthermore, water availability is a critical concern to future food security and environmental sustainability .…”

Section: Introductionmentioning

confidence: 99%

“…Bocchiola et al (2013) analysed WF in the Po valley, which is one of the most productive agricultural areas within Europe maize fields. Sun et al, (2013) calculated the major crop WF in the Hetao irrigation district (China). Vanham & Bidoglio, (2013) recently carried out a literature survey on the WF indicator and its applicability to EU28.…”

Section: Introductionmentioning

confidence: 99%

Water footprint assessment of the Colombian cocoa production

Ortíz-Rodriguez

Naranjo²,

Cáceres

et al. 2015

Rev. bras. eng. agríc. ambient.

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A B S T R A C TThe main objective of the present research was to calculate the water footprint of the Colombian cocoa (Theobroma cacao L.) production. The evaluation of crop water requirement and irrigation requirement were based on climate, soil and crop conditions in the country. The water requirement estimation was based on data from six municipalities selected for their representativeness of the highest yield, productivity and commercial dynamics of the country. . Water use per crop unit can be influenced not only by agro-meteorological conditions, but also by the level of production. Therefore, a region with a low water footprint value for a specific crop usually has a favorable climatic condition. Crop evapotranspiration was found to be relatively low, and the highest yields were obtained in association with more productive cropping levels. Given the complexity of a hydrological phenomenon like crop evapotranspiration, the magnitude of these differences may be considered to be small. Avaliação de pegada hídrica da produção de cacau colombiano R E S U M O O objetivo principal da presente pesquisa é avaliar a pegada hídrica da produção do cacau Colombiano (Theobroma cacao L.). A exigência hídrica da cultura, tanto quanto a de irrigação, foi avaliada com base nas condições de clima, solo e da cultura no país. A estimativa da necessidade de água foi baseada em dados de seis municípios selecionados pela representatividade dos seus maiores níveis de rendimento, produtividade e dinâmica comercial do Brasil. De acordo com os resultados a pegada hídrica atingiu 17,100 m 3 t -1 . A nível de província, o maior recorde para este parâmetro foi observado em Tolima com 23,239 m 3 t -1 enquanto Huila registrou o nível mais baixo, com 13,475 m 3 t -1. O consumo de água por unidade de cultura pode ser influenciado não só pelas condições agrometeorológicas, mas também pelo nível de produção; portanto, regiões com baixos valores de pegada hídrica para uma cultura específica geralmente têm condição climática favorável. A evapotranspiração é relativamente baixa e os maiores rendimentos foram obtidos na agricultura com maiores níveis de produção; em razão da complexidade de um fenômeno hidrológico, como a evapotranspiração de uma cultura, a magnitude dessas diferenças pode ser considerada pequena.

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The impacts of interannual climate variability and agricultural inputs on water footprint of crop production in an irrigation district of China

Cited by 144 publications

References 22 publications

Spatiotemporal Correlations between Water Footprint and Agricultural Inputs: A Case Study of Maize Production in Northeast China

Spatiotemporal Correlations between Water Footprint and Agricultural Inputs: A Case Study of Maize Production in Northeast China

Research on the Influencing Factors of Comprehensive Water Consumption by Impulse Response Function Analysis

Water footprint assessment of the Colombian cocoa production

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