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001     888336
005     20210130010925.0
020 _ _ |a 978-3-95806-512-3
024 7 _ |2 Handle
|a 2128/26348
024 7 _ |2 ISSN
|a 1866-1783
037 _ _ |a FZJ-2020-04855
041 _ _ |a English
100 1 _ |0 P:(DE-Juel1)157744
|a Wiekenkamp, Inge
|b 0
|e Corresponding author
|g female
|u fzj
245 _ _ |a Measuring and modelling spatiotemporal changes in hydrological response after partial deforestation
|f - 2020-02-21
260 _ _ |a Jülich
|b Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag
|c 2020
300 _ _ |a xxxvii, 276 S.
336 7 _ |2 DataCite
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336 7 _ |2 BibTeX
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|a Thesis
336 7 _ |0 PUB:(DE-HGF)11
|2 PUB:(DE-HGF)
|a Dissertation / PhD Thesis
|b phd
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|s 1607010030_11722
336 7 _ |2 DRIVER
|a doctoralThesis
490 0 _ |a Schriften des Forschungszentrums Jülich. Reihe Energie & Umwelt / Energy & Environment
|v 519
502 _ _ |a Universität Stuttgart, Diss., 2020
|b Dissertation
|c Universität Stuttgart
|d 2020
520 _ _ |a Vegetation 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. [...]
536 _ _ |0 G:(DE-HGF)POF3-255
|a 255 - Terrestrial Systems: From Observation to Prediction (POF3-255)
|c POF3-255
|f POF III
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856 4 _ |u https://juser.fz-juelich.de/record/888336/files/Energie_Umwelt_519.pdf
|y OpenAccess
909 C O |o oai:juser.fz-juelich.de:888336
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|v Terrestrial Systems: From Observation to Prediction
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914 1 _ |y 2020
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