DOI: 10.5194/hess-19-3457-2015
Scopus记录号: 2-s2.0-84938795242
论文题名: How to predict hydrological effects of local land use change: How the vegetation parameterisation for short rotation coppices influences model results
作者: Richter F ; , Döring C ; , Jansen M ; , Panferov O ; , Spank U ; , Bernhofer C
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2015
卷: 19, 期: 8 起始页码: 3457
结束页码: 3474
语种: 英语
Scopus关键词: Atmospheric temperature
; Balloons
; Biomass
; Budget control
; Complex networks
; Cultivation
; Ecosystems
; Forestry
; Groundwater
; Land use
; Parameterization
; Physiological models
; Plants (botany)
; Recharging (underground waters)
; Uncertainty analysis
; Vegetation
; Analysis of simulations
; Ground water recharge
; Hydrological modeling
; Meteorological variables
; Physiological parameters
; Scientific literature
; Short rotation coppice
; Vegetation parameters
; Parameter estimation
; agricultural modeling
; bioenergy
; calibration
; coppice
; crop rotation
; deciduous tree
; ecosystem service
; evapotranspiration
; growing season
; hydrological modeling
; hydrological response
; land use change
; numerical model
; parameterization
; prediction
; vegetation structure
; Europe
; Mimosa
; Salix
英文摘要: Among the different bioenergy sources, short rotation coppices (SRC) with poplar and willow trees are one of the promising options in Europe. SRC provide not only woody biomass but also additional ecosystem services. However, a known shortcoming is the potentially lower groundwater recharge caused by the potentially higher evapotranspiration demand compared to annual crops. The complex feedbacks between vegetation cover and water cycle can be only correctly assessed by application of well-parameterised and calibrated numerical models. In the present study, the hydrological model system WaSim (Wasserhaushalts-Simulations-Model) is implemented for assessment of the water balance. The focus is the analysis of simulation uncertainties caused by the use of guidelines or transferred parameter sets from scientific literature compared to "actual" parameterisations derived from local measurements of leaf area index (LAI), stomatal resistance (Rsc) and date of leaf unfolding (LU). The analysis showed that uncertainties in parameterisation of vegetation lead to implausible model results. LAI, Rsc and LU are the most sensitive plant physiological parameters concerning the effects of enhanced SRC cultivation on water budget or groundwater recharge. Particularly sensitive is the beginning of the growing season, i.e. LU. When this estimation is wrong, the accuracy of LAI and Rsc description plays a minor role. Our analyses illustrate that the use of locally measured vegetation parameters, like maximal LAI, and meteorological variables, like air temperature, to estimate LU give better results than literature data or data from remote network stations. However, the direct implementation of locally measured data is not always advisable or possible. Regarding Rsc, the adjustment of local measurements gives the best model evaluation. For local and accurate studies, measurements of model sensitive parameters like LAI, Rsc and LU are valuable information. The derivation of these model parameters based on local measurements shows the best model fit. Additionally, the adjusted seasonal course of LAI and Rsc is less sensitive to different estimates for LU. Different parameterisations, as they are all eligible either from local measurements or scientific literature, can result in modelled ground water recharge to be present or completely absent in certain years under poplar SRC. © Author(s) 2015. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/78451
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Soil Science of Temperate Ecosystems, Georg-August-Universität Göttingen, Büsgenweg 2, Göttingen, Germany; Department of Bioclimatology, Georg-August-Universität Göttingen, Büsgenweg 2, Göttingen, Germany; Institute of Climatology and Climate Protection, University of Applied Sciences, Bingen Am Rhein, Berlinstr. 109, Bingen am Rhein, Germany; Institute of Hydrology and Meteorology, Technische Universität Dresden, Pienner Str. 23, Tharandt, Germany
Recommended Citation:
Richter F,, Döring C,, Jansen M,et al. How to predict hydrological effects of local land use change: How the vegetation parameterisation for short rotation coppices influences model results[J]. Hydrology and Earth System Sciences,2015-01-01,19(8)