2008
DOI: 10.1016/j.jhydrol.2007.10.052
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Effects of rising atmospheric CO2 on evapotranspiration and soil moisture: A practical approach for the Netherlands

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Cited by 116 publications
(116 citation statements)
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“…Therefore, along with E pot estimates for future time slices using the same r s value as in the baseline (variable pepm), an additional variable (pepm_adjrs) is introduced, which accounts for the impact of CO 2 on stomatal resistance and, therefore, on E pot . To do so, we follow Rudd and Kay (2016) and use the estimate of change in crop and grass conductance per 1 ppm CO 2 concentration increase of Kruijt et al (2008) (−9.3 × 10 −2 %) and apply these to change in the 30-year averaged CO 2 concentration between each future time period (469.5 ppm in the near future and 798.6 ppm in the far future) and 1975-2004 values (352.7 ppm). The resulting monthly r s values are displayed in Table 4 for pepm and pepm_adjrs for near and far future.…”
Section: Potential Evaporation Estimatesmentioning
confidence: 99%
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“…Therefore, along with E pot estimates for future time slices using the same r s value as in the baseline (variable pepm), an additional variable (pepm_adjrs) is introduced, which accounts for the impact of CO 2 on stomatal resistance and, therefore, on E pot . To do so, we follow Rudd and Kay (2016) and use the estimate of change in crop and grass conductance per 1 ppm CO 2 concentration increase of Kruijt et al (2008) (−9.3 × 10 −2 %) and apply these to change in the 30-year averaged CO 2 concentration between each future time period (469.5 ppm in the near future and 798.6 ppm in the far future) and 1975-2004 values (352.7 ppm). The resulting monthly r s values are displayed in Table 4 for pepm and pepm_adjrs for near and far future.…”
Section: Potential Evaporation Estimatesmentioning
confidence: 99%
“…Starting with the year Y with the lowest number of simulations available (= n), all simulations are stitched forward as follows: the distance in the soil moisture PC1-2 space between each end-of-run value from simulations on year Y and each start-of-run value from simulations on year Y +1 is computed. The Hungarian algorithm (R function "solve_LSAP" in package "clue", Kuhn, 1955Kuhn, , 1956Papadimitriou and Steiglitz, 1982;Hornik, 2005Hornik, , 2016) is then applied to find the combination that minimises the sum of the squared distances.…”
Section: Generation Of Continuous Time Series From Single Yearsmentioning
confidence: 99%
“…Model simulation is a useful approach to 114 elucidate and predict the physiological effects of eCO 2 and interactions with climate change 115 since physiological effects of eCO 2 at regional scale were poorly understood and atmospheric 116 CO 2 content is projected to rise beyond our observation . General 117 circulation models with sophisticated land surface models have been used to study the eCO 2 118 effects on water availability globally (e.g., Sellers et al (1996) At catchment scales, previous modelling experiments have consistently predicted an increase 125 in runoff in response to eCO 2 with a relative response ranging from less than 10% (Eckhardt 126 and Ulbrich (2003), Kruijt et al (2008), and Leuzinger and Körner (2010)) to about 90% 127 (Aston, 1984). Many previous studies of eCO 2 at catchment scale suffer from two 128 weaknesses.…”
Section: Introduction 46mentioning
confidence: 99%
“…Climate change can potentially change the vegetation in response to increasing temperatures and shifts in precipitation (Kruijt et al 2008). To which extent the vegetation will change also depends on soil moisture-climate interactions (Seneviratne et al 2010).…”
Section: Modelmentioning
confidence: 99%
“…The uncertainty of the impact interferes with the urgency to decide on adaptation measures concerning drinking water supply. In addition, adequate adaptation of drinking water systems to these kinds of long-term developments is complicated and involves not only technical, but also social, political and economic aspects (Kloosterman 2015;Staben et al 2015;Zwolsman et al 2014). Therefore, it is important to assess the effect of adaptation measures, also regarding climate change, before these measures are implemented.…”
Section: Introductionmentioning
confidence: 99%