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Sibylle Hassler

Researcher at Karlsruhe Institute of Technology

Publications -  25
Citations -  437

Sibylle Hassler is an academic researcher from Karlsruhe Institute of Technology. The author has contributed to research in topics: Soil water & Transpiration. The author has an hindex of 9, co-authored 21 publications receiving 319 citations. Previous affiliations of Sibylle Hassler include University of Potsdam.

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Recovery of saturated hydraulic conductivity under secondary succession on former pasture in the humid tropics

TL;DR: In this paper, the authors investigated the effect of secondary succession on saturated hydraulic conductivity (Ks) at two soil depths (0-6 and 6-12 cm) using a space-for-time approach in a landscape mosaic in central Panama.
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Picturing and modeling catchments by representative hillslopes

TL;DR: In this article, the suitability of a single hillslope as a parsimonious representation of a catchment in a physically-based model was explored by picturing two distinctly different catchments in perceptual models and translating these pictures into parametric setups of 2-D physically based hilllope models.

Picturing and modelling catchments by representative hillslopes

TL;DR: The results confirm that representative hillslope models are a suitable tool to assess the importance of different data sources as well as to challenge the perception of the dominant hydrological processes the authors want to represent therein.
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Dominant controls of transpiration along a hillslope transect inferred from ecohydrological measurements and thermodynamic limits

TL;DR: In this paper, the authors combine ecohydrological observations of sap flow and soil moisture with thermodynamically constrained estimates of atmospheric evaporative demand to infer the dominant controls of forest transpiration in complex terrain.
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Tree-, stand- and site-specific controls on landscape-scale patterns of transpiration

TL;DR: In this article, the relative importance of various tree-, stand-and site-specific characteristics with multiple linear regression models to explain the variability of sap velocity measurements in 61 beech and oak trees, located at 24 sites across a 290 km 2 catchment in Luxembourg.