Articles | Volume 20, issue 12
https://doi.org/10.5194/hess-20-4775-2016
https://doi.org/10.5194/hess-20-4775-2016
Research article
 | 
05 Dec 2016
Research article |  | 05 Dec 2016

The evolution of root-zone moisture capacities after deforestation: a step towards hydrological predictions under change?

Remko Nijzink, Christopher Hutton, Ilias Pechlivanidis, René Capell, Berit Arheimer, Jim Freer, Dawei Han, Thorsten Wagener, Kevin McGuire, Hubert Savenije, and Markus Hrachowitz

Data sets

Hubbard Brook Experimental Forest (USDA Forest Service): Daily Streamflow by Watershed, 1956 - present J. Campbell http://www.hubbardbrook.org/data/dataset.php?id=2

Hubbard Brook Experimental Forest (US Forest Service): Daily Precipitation Standard Rain Gage Measurements, 1956 - present J. Campbell http://www.hubbardbrook.org/data/dataset.php?id=13

Hubbard Brook Experimental Forest (USDA Forest Service): Daily Maximum and Minimum Temperature Records, 1955 - present J. Campbell http://www.hubbardbrook.org/data/dataset.php?id=58

Meteorological data from benchmark stations at the Andrews Experimental Forest, 1957 to present. Long-Term Ecological Research. Forest Science Data Bank C. Daly, W. McKee http://andrewsforest.oregonstate.edu/data/abstract.cfm?dbcode=MS001

Stream discharge in gaged watersheds at the Andrews Experimental Forest, 1949 to present. Long-Term Ecological Research.Forest Science Data Bank, Forest Science Data Bank S. Johnson, J. Rothacher http://andrewsforest.oregonstate.edu/data/abstract.cfm?dbcode=HF004

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Short summary
The core component of many hydrological systems, the moisture storage capacity available to vegetation, is typically treated as a calibration parameter in hydrological models and often considered to remain constant in time. In this paper we test the potential of a recently introduced method to robustly estimate catchment-scale root-zone storage capacities exclusively based on climate data to reproduce the temporal evolution of root-zone storage under change (deforestation).