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Modeling forest evapotranspiration and water balance at stand and catchment scales: a spatial approach
| Content Provider | Semantic Scholar |
|---|---|
| Author | Launiainen, Samuli Guan, Mingfu Salmivaara, Aura Kieloaho, Antti-Jussi |
| Copyright Year | 2019 |
| Abstract | Vegetation is known to have strong influence on evapotranspiration (ET ), a major component of terrestrial water balance. Yet hydrological models often describe ET by methods unable to sufficiently include the variability of vegetation characteristics in their predictions. To take advantage of increasing availability of high-resolution open GIS-data on land use, vegetation and soil characteristics in the boreal zone, a modular, spatially distributed model for predicting ET and other hydrological 5 processes from a grid cell to a catchment level is presented and validated. An improved approach to upscale stomatal conductance to canopy scale using information on plant type (conifer / deciduous) and stand leaf-area index (LAI) is proposed by coupling a common leaf-scale stomatal conductance model with a simple canopy radiation transfer scheme. Further, a generic parametrization for vegetation-related hydrological processes for Nordic boreal forests is derived based on literature and data from a boreal FluxNet site. With the generic parametrization, the model was shown to well reproduce daily ET measured by 10 eddy-covariance technique at ten conifer-dominated Nordic forests whose LAI ranged from 0.2 to 6.8 m2m−2. Topography, soil and vegetation properties at 21 small boreal headwater catchments in Finland were derived from open GIS-data at 16 x 16 m grid size to upscale water balance from a stand to catchment level. The predictions of annualET and specific discharge were successful in all catchments, located from 60 to 68 ◦N, and daily discharge also reasonably well predicted by calibrating only one parameter against discharge data measurements. The role of vegetation heterogeneity on soil moisture and partitioning of 15 ET was demonstrated. The proposed framework can support e.g. forest trafficability forecasting and predicting the impacts of climate change and forest management on stand and catchment water balance. With appropriate parametrization it can be generalized outside the boreal coniferous forests. Copyright statement. Author(s) 2019. CC-BY 4.0 License |
| File Format | PDF HTM / HTML |
| DOI | 10.5194/hess-2019-45 |
| Alternate Webpage(s) | https://www.hydrol-earth-syst-sci-discuss.net/hess-2019-45/hess-2019-45-supplement.pdf |
| Alternate Webpage(s) | https://www.hydrol-earth-syst-sci-discuss.net/hess-2019-45/hess-2019-45.pdf |
| Alternate Webpage(s) | https://www.hydrol-earth-syst-sci-discuss.net/hess-2019-45/hess-2019-45-manuscript-version2.pdf |
| Alternate Webpage(s) | https://doi.org/10.5194/hess-2019-45 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
