2006
DOI: 10.1016/j.agwat.2006.06.024
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Waterpas-model: A predictive tool for water management, agriculture, and environment

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Cited by 12 publications
(6 citation statements)
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“…Higher water tables can also inhibit the vegetation growth and lead to reduced evapotranspiration if the vegetation is not adapted to wet site conditions. This is typical for agricultural species, as Soylu, Kucharik, and Loheide (2014) showed for maize or de Vos et al (2006) for grass. A model study by Grimaldi, Orellana, and Daly (2015) emphasized that different plants with different root depths have various effects on evapotranspiration, create different drops in the water table and groundwater depletion, which is additionally affected by varying soil types.…”
mentioning
confidence: 76%
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“…Higher water tables can also inhibit the vegetation growth and lead to reduced evapotranspiration if the vegetation is not adapted to wet site conditions. This is typical for agricultural species, as Soylu, Kucharik, and Loheide (2014) showed for maize or de Vos et al (2006) for grass. A model study by Grimaldi, Orellana, and Daly (2015) emphasized that different plants with different root depths have various effects on evapotranspiration, create different drops in the water table and groundwater depletion, which is additionally affected by varying soil types.…”
mentioning
confidence: 76%
“…The idea is to provide a buffer for the decrease in water levels in spring and early summer. Yet from the farmers' point of view, this measure increases the risk of yield losses and low forage quality of the growing grass due to increasing periods with excessive soil moisture (de Vos, van Bakel, Hoving, & Conijn, 2006;de Vos et al, 2010). Further, it has been claimed that water consumption might rise.…”
mentioning
confidence: 99%
“…2) uses the ADG and AHG simulated by the GIS-model for water levels and soil subsidence, and the so-called HELP-tables, to calculate agricultural crop yield reductions. The HELP-tables define relationships between ADG, AHG and crop yields at the field-scale for a range of the most common soil profiles in The Netherlands, with a distinction between crop yield reductions due to wet and dry conditions (de Vos et al, 2006). When crop yield reduction exceeds a certain threshold, we assumed dairy farming to be less profitable than the production of biomass crops, prompting farmers to change the land use.…”
Section: Design Of Societal Impact Assessmentmentioning
confidence: 99%
“…( 2008), and WOFOST, could estimate crop transpiration with acceptable accuracy. Grass yields were also examined in this study based on a previous link between SWAP and the BedrijfsBegrotings Programma Rundvee (BBPR)/Farm Budgeting Programme for Cattle (Schils et al, 2007, Waterpas;De Vos et al, 2006). In doing so, comparisons were made with measured yields.…”
Section: Validations Involving the Waterwijzer Landbouwmentioning
confidence: 99%