2000
DOI: 10.1016/s0169-2046(00)00108-0
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May land use change reduce the water deficiency problem caused by reduced brown coal mining in the state of Brandenburg?

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Cited by 28 publications
(13 citation statements)
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“…To be relevant, meta-models should be based on in silico scenario design, and explore the most significant variables, in a realistic range. This can be ensured by involving stakeholders in scenario design, instead of researchers (e.g., Colbach et al, 2010;Lautenbach et al, 2009;Wechsung et al, 2000) or by simulation (e.g., Tricault et al, 2009;Bergez et al, 2010). The more generic scenarios could remain theoretical: (1) their in-field local feasibility could not have been assessed, but by contrast it is a 'given constraint' in a participatory approach (e.g., Anderson et al, 1998); (2) drivers of cropping system change could not have been highlighted (i.e., local priorities; Dougill et al, 2006); (3) cost-effectiveness of such changes may have been poorly estimated as compared to their direct assessment by stakeholders (e.g., Voinov and Bousquet, 2010).…”
Section: Discussionmentioning
confidence: 99%
“…To be relevant, meta-models should be based on in silico scenario design, and explore the most significant variables, in a realistic range. This can be ensured by involving stakeholders in scenario design, instead of researchers (e.g., Colbach et al, 2010;Lautenbach et al, 2009;Wechsung et al, 2000) or by simulation (e.g., Tricault et al, 2009;Bergez et al, 2010). The more generic scenarios could remain theoretical: (1) their in-field local feasibility could not have been assessed, but by contrast it is a 'given constraint' in a participatory approach (e.g., Anderson et al, 1998); (2) drivers of cropping system change could not have been highlighted (i.e., local priorities; Dougill et al, 2006); (3) cost-effectiveness of such changes may have been poorly estimated as compared to their direct assessment by stakeholders (e.g., Voinov and Bousquet, 2010).…”
Section: Discussionmentioning
confidence: 99%
“…The SWIM model was used for the study because of its suitability for simulating the annual growth of natural vegetation, as well as a wide range of crops, and their hydrological interactions under current and future climate change conditions (Wechsung et al, 2000;Hattermann et al, 2004;Hattermann et al, 2005;Krysanova et al, 2005b;Wattenbach et al, 2005;Hattermann et al, 2006). It has been evaluated in various catchments within the landscape of the federal state to adapt the parameterization and process description to lowland conditions (Hattermann et al, 2004;Hattermann et al, 2005;Krysanova et al, 2005a;Wattenbach et al, 2005;Wechsung et al, 2000) and to enable us to employ it on administrative units instead of catchment boundaries.…”
Section: The Swim Modelmentioning
confidence: 99%
“…It has been evaluated in various catchments within the landscape of the federal state to adapt the parameterization and process description to lowland conditions (Hattermann et al, 2004;Hattermann et al, 2005;Krysanova et al, 2005a;Wattenbach et al, 2005;Wechsung et al, 2000) and to enable us to employ it on administrative units instead of catchment boundaries.…”
Section: The Swim Modelmentioning
confidence: 99%
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“…Runoff and groundwater recharge increases might be even more significant by decreasing production intensity on the remaining area for arable crops, due to the reduction in regional transpiration as a consequence of the lower leaf area index. Details of this land use change impact study are described in Wechsung et al (2000).…”
Section: Land Use Change Impact Study-an Examplementioning
confidence: 99%