Research article
26 Aug 2019
Research article
| 26 Aug 2019
Modeling boreal forest evapotranspiration and water balance at stand and catchment scales: a spatial approach
Samuli Launiainen et al.
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Total article views: 3,744 (including HTML, PDF, and XML)
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Total article views: 2,523 (including HTML, PDF, and XML)
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Total article views: 1,221 (including HTML, PDF, and XML)
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Cited
14 citations as recorded by crossref.
- Trafficability Prediction Using Depth-to-Water Maps: the Status of Application in Northern and Central European Forestry S. Hoffmann et al. 10.1007/s40725-021-00153-8
- The Effects of Forest on Annual Water Yield of River Watershed L. Kuchment 10.1134/S0097807822010109
- Spatio-temporal prediction of soil moisture using soil maps, topographic indices and SMAP retrievals M. Schönauer et al. 10.1016/j.jag.2022.102730
- Selection Cuttings as a Tool to Control Water Table Level in Boreal Drained Peatland Forests K. Leppä et al. 10.3389/feart.2020.576510
- Carbon and water balance of an afforested shallow drained peatland in Iceland B. Bjarnadottir et al. 10.1016/j.foreco.2020.118861
- Drainage and Stand Growth Response in Peatland Forests—Description, Testing, and Application of Mechanistic Peatland Simulator SUSI A. Laurén et al. 10.3390/f12030293
- Vegetation controls of water and energy balance of a drained peatland forest: Responses to alternative harvesting practices K. Leppä et al. 10.1016/j.agrformet.2020.108198
- Biophysical constraints on evapotranspiration partitioning for a conductance-based two source energy balance model J. Bu et al. 10.1016/j.jhydrol.2021.127179
- Global Response of Evapotranspiration Ratio to Climate Conditions and Watershed Characteristics in a Changing Environment Z. Liu et al. 10.1029/2020JD032371
- Towards dynamic forest trafficability prediction using open spatial data, hydrological modelling and sensor technology A. Salmivaara et al. 10.1093/forestry/cpaa010
- NutSpaFHy—A Distributed Nutrient Balance Model to Predict Nutrient Export from Managed Boreal Headwater Catchments A. Lauren et al. 10.3390/f12060808
- Importance of Parameter and Climate Data Uncertainty for Future Changes in Boreal Hydrology A. Marshall et al. 10.1029/2021WR029911
- How tree species, tree size, and topographical location influenced tree transpiration in northern boreal forests during the historic 2018 drought J. Gutierrez Lopez et al. 10.1111/gcb.15601
- ЭКОНОМИЧЕСКИ ЭФФЕКТИВНАЯ ТЕХНОЛОГИЯ ОБНАРУЖЕНИЯ И ЛОКАЛИЗАЦИИ ПОЖАРООПАСНЫХ ЗОН В ЛЕСАХ СИБИРИ В. Крапивин et al. 10.36535/1994-8336-2020-02-6
14 citations as recorded by crossref.
- Trafficability Prediction Using Depth-to-Water Maps: the Status of Application in Northern and Central European Forestry S. Hoffmann et al. 10.1007/s40725-021-00153-8
- The Effects of Forest on Annual Water Yield of River Watershed L. Kuchment 10.1134/S0097807822010109
- Spatio-temporal prediction of soil moisture using soil maps, topographic indices and SMAP retrievals M. Schönauer et al. 10.1016/j.jag.2022.102730
- Selection Cuttings as a Tool to Control Water Table Level in Boreal Drained Peatland Forests K. Leppä et al. 10.3389/feart.2020.576510
- Carbon and water balance of an afforested shallow drained peatland in Iceland B. Bjarnadottir et al. 10.1016/j.foreco.2020.118861
- Drainage and Stand Growth Response in Peatland Forests—Description, Testing, and Application of Mechanistic Peatland Simulator SUSI A. Laurén et al. 10.3390/f12030293
- Vegetation controls of water and energy balance of a drained peatland forest: Responses to alternative harvesting practices K. Leppä et al. 10.1016/j.agrformet.2020.108198
- Biophysical constraints on evapotranspiration partitioning for a conductance-based two source energy balance model J. Bu et al. 10.1016/j.jhydrol.2021.127179
- Global Response of Evapotranspiration Ratio to Climate Conditions and Watershed Characteristics in a Changing Environment Z. Liu et al. 10.1029/2020JD032371
- Towards dynamic forest trafficability prediction using open spatial data, hydrological modelling and sensor technology A. Salmivaara et al. 10.1093/forestry/cpaa010
- NutSpaFHy—A Distributed Nutrient Balance Model to Predict Nutrient Export from Managed Boreal Headwater Catchments A. Lauren et al. 10.3390/f12060808
- Importance of Parameter and Climate Data Uncertainty for Future Changes in Boreal Hydrology A. Marshall et al. 10.1029/2021WR029911
- How tree species, tree size, and topographical location influenced tree transpiration in northern boreal forests during the historic 2018 drought J. Gutierrez Lopez et al. 10.1111/gcb.15601
- ЭКОНОМИЧЕСКИ ЭФФЕКТИВНАЯ ТЕХНОЛОГИЯ ОБНАРУЖЕНИЯ И ЛОКАЛИЗАЦИИ ПОЖАРООПАСНЫХ ЗОН В ЛЕСАХ СИБИРИ В. Крапивин et al. 10.36535/1994-8336-2020-02-6
Latest update: 01 Feb 2023
Short summary
Boreal forest evapotranspiration and water cycle is modeled at stand and catchment scale using physiological and physical principles, open GIS data and daily weather data. The approach can predict daily evapotranspiration well across Nordic coniferous-dominated stands and successfully reproduces daily streamflow and annual evapotranspiration across boreal headwater catchments in Finland. The model is modular and simple and designed for practical applications over large areas using open data.
Boreal forest evapotranspiration and water cycle is modeled at stand and catchment scale using...