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000888336 005__ 20210130010925.0
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000888336 020__ $$a978-3-95806-512-3
000888336 037__ $$aFZJ-2020-04855
000888336 041__ $$aEnglish
000888336 1001_ $$0P:(DE-Juel1)157744$$aWiekenkamp, Inge$$b0$$eCorresponding author$$gfemale$$ufzj
000888336 245__ $$aMeasuring and modelling spatiotemporal changes in hydrological response after partial deforestation$$f- 2020-02-21
000888336 260__ $$aJülich$$bForschungszentrum Jülich GmbH Zentralbibliothek, Verlag$$c2020
000888336 300__ $$axxxvii, 276 S.
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000888336 4900_ $$aSchriften des Forschungszentrums Jülich. Reihe Energie & Umwelt / Energy & Environment$$v519
000888336 502__ $$aUniversität Stuttgart, Diss., 2020$$bDissertation$$cUniversität Stuttgart$$d2020
000888336 520__ $$aVegetation plays an important role in the hydrological cycle, as it governs the partitioning of water fluxes and therewith affects the functioning of the system. Deforestation can cause a highly non-linear response of the natural system and may change the interaction between the land surface and the atmosphere, flow conditions, groundwater recharge and soil moisture storage, which in turn affects the quality and amount of available water resources. To be able to predict changes of deforestation and other land use management activities, there is a need for comprehensive understanding of the hydrological effects of such activities. Although the effects of land use change on hydrology have been studied intensively, predicting the effects of land use change on hydrological states and fluxes remains challenging. Existing paired catchment studies mostly focus on yearly discharge, often do not consider changes in subsurface storage and evapotranspiration, and lack information at the intra-annual time scale. Additionally, soil hydrological processes are often not considered. Thus, only few datasets are available to accurately describe, model, and predict detailed changes in spatiotemporal patterns of hydrological fluxes and states due to land use change. [...]
000888336 536__ $$0G:(DE-HGF)POF3-255$$a255 - Terrestrial Systems: From Observation to Prediction (POF3-255)$$cPOF3-255$$fPOF III$$x0
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