WaterFootprint on AgroClimate: A dynamic, web-based tool for comparing agricultural systems

Dourte, Daniel R.; Fraisse, Clyde W.; Uryasev, O.

doi:10.1016/j.agsy.2013.11.006

Cited by 14 publications

(9 citation statements)

References 21 publications

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“…The largest share of the total WF corresponded to the green WF, accounting for 44.8%, followed by blue and grey WFs, which accounted for 29.1% and 26.1%, respectively (Figure 5d . The values of the WF of rain-fed subbasins with low rice production were higher than those of irrigated subbasins, confirming that a greater reduction in yield can result in large water footprints [6]. …”

Section: Crop Yield and Water Footprint In The Reference Periodsupporting

confidence: 50%

“…In irrigated systems, ET blue is the difference between ET and ET green , and ET blue = 0 in rain-fed systems [6,43].…”

Section: Crop Water Footprintmentioning

confidence: 99%

“…Effective precipitation is the fraction of the total precipitation that is available to the crop and does not run off [42]. Based on this definition, P eff is calculated by using the SWAT model as follows [6]:…”

Section: Crop Water Footprintmentioning

confidence: 99%

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Assessment of Potential Climate Change Effects on the Rice Yield and Water Footprint in the Nanliujiang Catchment, China

et al. 2018

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Abstract:The Nanliujiang catchment is one of major rice production bases of South China. Irrigation districts play an important role in rice production which requires a large quantity of water. There are potential risks on future climate change in response to rice production, agricultural irrigation water use and pollution control locally. The SWAT model was used to quantify the yield and water footprint (WF) of rice in this catchment. A combined method of automatic and manual sub-basin delineation was used for the model setup in this work to reflect the differences between irrigation districts in yield and water use of rice. We validated our simulations against observed leaf area index, biomass and yield of rice, evapotranspiration and runoff. The outputs of three GCMs (GFDL-ESM2M, IPSL-CM5A-LR and HadGEM2-ES) under three RCPs (RCP2.6, 4.5, 8.5) were fed to the SWAT model. The results showed that: (a) the SWAT model is an ideal tool to simulate rice development as well as hydrology; (b) there would be increases in rice yield ranged from +1.4 to +10.6% under climate projections of GFDL-ESM2M and IPSL-CM5A-LR but slight decreases ranged from −3.5 to −0.8% under that of HadGEM2-ES; (c) the yield and WFs of rice displayed clear differences in the catchment, with a characteristic that high in the south and low in the north, mainly due to the differences in climatic conditions, soil quality and fertilization amount; (d) there would be a decrease by 45.5% in blue WF with an increase by 88.1% in green WF, which could provide favorable conditions to enlarge irrigated areas and take technical measures for improving green water use efficiency of irrigation districts; (e) a clear rise in future grey WF would present enormous challenges for the protection of water resources and environmental pollution control in this catchment. So it should be to improved nutrient management strategies for the agricultural non-point source pollution control in irrigation districts, especially for the Hongchaojiang and Hepu irrigation districts.

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Section: Crop Yield and Water Footprint In The Reference Periodsupporting

confidence: 50%

“…In irrigated systems, ET blue is the difference between ET and ET green , and ET blue = 0 in rain-fed systems [6,43].…”

Section: Crop Water Footprintmentioning

confidence: 99%

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Assessment of Potential Climate Change Effects on the Rice Yield and Water Footprint in the Nanliujiang Catchment, China

et al. 2018

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“…HC 27 soil profiles have been widely used in regional and global crop modeling studies [39,[50][51][52].…”

Section: Experimental Designmentioning

confidence: 99%

Responses of Agroecosystems to Climate Change: Specifics of Resilience in the Mid-Latitude Region

et al. 2017

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This study examines the productivity and resilience of agroecosystems in the Korean Peninsula. Having learned valuable lessons from a Chapman University project funded by the United States Department of Agriculture which concentrated on the semi-arid region of southwestern United States, our joint Korea-Chapman University team has applied similar methodologies to the Korean Peninsula, which is itself an interesting study case in the mid-latitude region. In particular, the Korean Peninsula has unique agricultural environments due to differences in political and socioeconomic systems between South Korea and North Korea. Specifically, North Korea has been suffering from food shortages due to natural disasters, land degradation and political failure. The neighboring developed country, South Korea, has a better agricultural system but a low food self-sufficiency rate. Therefore, assessing crop yield potential (Yp) in the two distinct regions will reveal vulnerability and risks of agroecosystems in the mid-latitude region under climate change and variability and for different conditions.

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“…The soil profiles were derived from a 9 km resolution global database called the Harmonized World Soil Database (IIASA, 2012) by matching the location of soil with one of the 27 soil profiles based on three criteria: soil texture, water content classification, and organic carbon content. HC 27 soil profiles have been widely used in a large number of regional and global crop modeling studies (Dourte et al, 2014;Müller and Robertson, 2014;Cenacchi and Koo, 2011;Bryan et al, 2011;Nelson et al, 2009).…”

Section: Crop Model Input Datamentioning

confidence: 99%

Sensitivity of Maize Yield Potential to Regional Climate in the Southwestern U.S.

Kim¹,

Myoung²,

Stack³

et al. 2016

Trans. ASABE

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WaterFootprint on AgroClimate: A dynamic, web-based tool for comparing agricultural systems

Cited by 14 publications

References 21 publications

Assessment of Potential Climate Change Effects on the Rice Yield and Water Footprint in the Nanliujiang Catchment, China

Assessment of Potential Climate Change Effects on the Rice Yield and Water Footprint in the Nanliujiang Catchment, China

Responses of Agroecosystems to Climate Change: Specifics of Resilience in the Mid-Latitude Region

Sensitivity of Maize Yield Potential to Regional Climate in the Southwestern U.S.

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