DOI: 10.5194/hess-22-13-2018
Scopus记录号: 2-s2.0-85045836266
论文题名: Tree-, stand- and site-specific controls on landscape-scale patterns of transpiration
作者: Hassler S ; K ; , Weiler M ; , Blume T
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2018
卷: 22, 期: 1 起始页码: 13
结束页码: 30
语种: 英语
Scopus关键词: Catchments
; Flow patterns
; Geology
; Linear regression
; Petroleum reservoir evaluation
; Soil moisture
; Transpiration
; Vegetation
; Competition mechanism
; Management decisions
; Multiple linear regression models
; Potential evaporation
; Site characteristics
; Site specific characteristics
; Soil-vegetation-atmosphere transfer models
; Temporal representations
; Forestry
; Fagus
英文摘要: Transpiration is a key process in the hydrological cycle, and a sound understanding and quantification of transpiration and its spatial variability is essential for management decisions as well as for improving the parameterisation and evaluation of hydrological and soil-vegetation-atmosphere transfer models. For individual trees, transpiration is commonly estimated by measuring sap flow. Besides evaporative demand and water availability, tree-specific characteristics such as species, size or social status control sap flow amounts of individual trees. Within forest stands, properties such as species composition, basal area or stand density additionally affect sap flow, for example via competition mechanisms. Finally, sap flow patterns might also be influenced by landscape-scale characteristics such as geology and soils, slope position or aspect because they affect water and energy availability; however, little is known about the dynamic interplay of these controls. We studied 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 km2 catchment in Luxembourg. For each of 132 consecutive days of the growing season of 2014 we modelled the daily sap velocity and derived sap flow patterns of these 61 trees, and we determined the importance of the different controls. Results indicate that a combination of mainly tree- and site-specific factors controls sap velocity patterns in the landscape, namely tree species, tree diameter, geology and aspect. For sap flow we included only the stand- and site-specific predictors in the models to ensure variable independence. Of those, geology and aspect were most important. Compared to these predictors, spatial variability of atmospheric demand and soil moisture explains only a small fraction of the variability in the daily datasets. However, the temporal dynamics of the explanatory power of the tree-specific characteristics, especially species, are correlated to the temporal dynamics of potential evaporation. We conclude that transpiration estimates on the landscape scale would benefit from not only consideration of hydro-meteorological drivers, but also tree, stand and site characteristics in order to improve the spatial and temporal representation of transpiration for hydrological and soil-vegetation-atmosphere transfer models. © Author(s) 2018. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79441
Appears in Collections: 气候变化事实与影响
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作者单位: Karlsruhe Institute of Technology (KIT), Institute of Water and River Basin Management, Chai. of Hydrology, Karlsruhe, Germany; Helmholtz Centre Potsdam, GFZ German Research Centre for Geosciences, Section Hydrology, Potsdam, Germany; Hydrology, Faculty of Environment and Natural Resources, University of Freiburg, Freiburg, Germany
Recommended Citation:
Hassler S,K,, Weiler M,et al. Tree-, stand- and site-specific controls on landscape-scale patterns of transpiration[J]. Hydrology and Earth System Sciences,2018-01-01,22(1)