DOI: 10.5194/hess-20-4775-2016
Scopus记录号: 2-s2.0-85002050790
论文题名: The evolution of root-zone moisture capacities after deforestation: A step towards hydrological predictions under change?
作者: Nijzink R ; , Hutton C ; , Pechlivanidis I ; , Capell R ; , Arheimer B ; , Freer J ; , Han D ; , Wagener T ; , McGuire K ; , Savenije H ; , Hrachowitz M
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2016
卷: 20, 期: 12 起始页码: 4775
结束页码: 4799
语种: 英语
Scopus关键词: Calibration
; Catchments
; Climate change
; Deforestation
; Hydrology
; Moisture
; Parameter estimation
; Runoff
; Transpiration
; Calibration parameters
; Daily precipitations
; Experimental catchments
; Hydrological modeling
; Hydrological models
; Hydrological prediction
; Moisture storage capacity
; Soil characteristics
; Digital storage
; catchment
; deforestation
; experimental study
; hydrological modeling
; hydrological regime
; precipitation (climatology)
; prediction
; rhizosphere
; soil depth
; soil moisture
; soil water potential
; temporal analysis
; transpiration
; vegetation dynamics
英文摘要: The core component of many hydrological systems, the moisture storage capacity available to vegetation, is impossible to observe directly at the catchment scale and is typically treated as a calibration parameter or obtained from a priori available soil characteristics combined with estimates of rooting depth. Often this parameter is considered to remain constant in time. Using long-term data (30-40 years) from three experimental catchments that underwent significant land cover change, we tested the hypotheses that: (1) the root-zone storage capacity significantly changes after deforestation, (2) changes in the root-zone storage capacity can to a large extent explain post-treatment changes to the hydrological regimes and that (3) a time-dynamic formulation of the root-zone storage can improve the performance of a hydrological model. A recently introduced method to estimate catchment-scale root-zone storage capacities based on climate data (i.e. observed rainfall and an estimate of transpiration) was used to reproduce the temporal evolution of root-zone storage capacity under change. Briefly, the maximum deficit that arises from the difference between cumulative daily precipitation and transpiration can be considered as a proxy for root-zone storage capacity. This value was compared to the value obtained from four different conceptual hydrological models that were calibrated for consecutive 2-year windows. It was found that water-balance-derived root-zone storage capacities were similar to the values obtained from calibration of the hydrological models. A sharp decline in root-zone storage capacity was observed after deforestation, followed by a gradual recovery, for two of the three catchments. Trend analysis suggested hydrological recovery periods between 5 and 13 years after deforestation. In a proof-of-concept analysis, one of the hydrological models was adapted to allow dynamically changing root-zone storage capacities, following the observed changes due to deforestation. Although the overall performance of the modified model did not considerably change, in 51% of all the evaluated hydrological signatures, considering all three catchments, improvements were observed when adding a time-variant representation of the root-zone storage to the model. In summary, it is shown that root-zone moisture storage capacities can be highly affected by deforestation and climatic influences and that a simple method exclusively based on climate data can not only provide robust, catchment-scale estimates of this critical parameter, but also reflect its timedynamic behaviour after deforestation. © 2016 Author(s). Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/78675
Appears in Collections: 气候变化事实与影响
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作者单位: Water Resources Section, Faculty of Civil Engineering and Geosciences, Delft University of Technology, Stevinweg 1, Delft, Netherlands; Department of Civil Engineering, University of Bristol, Bristol, United Kingdom; Cabot Institute, University of Bristol, Bristol, United Kingdom; Swedish Meteorological and Hydrological Institute, Norrköping, Sweden; Virginia Water Resources Research Center, Department of Forest Resources and Environmental Conservation, Virginia Tech, Blacksburg, VA, United States
Recommended Citation:
Nijzink R,, Hutton C,, Pechlivanidis I,et al. The evolution of root-zone moisture capacities after deforestation: A step towards hydrological predictions under change?[J]. Hydrology and Earth System Sciences,2016-01-01,20(12)