Predicting forest transpiration from climatological data |
| |
| Institution: | 1. Department of Chemistry and Biology, Ryerson University, Toronto, Ontario, Canada;2. Nuclear Waste Management Organization of Canada, Toronto, Ontario, Canada;3. Department of Food and Bioproduct Sciences, University of Saskatchewan, Saskatoon, Saskatchewan, Canada;4. Department of Microbiology, University of Stellenbosch, South Africa;1. Department of Water Resources and Environmental Engineering, School of Civil Engineering, National Technical University of Athens, Heroon Polytechneiou 5, Zographou 15780, Greece;2. Air Force Support Command, Hellenic Air Force, Elefsina Air Base, Elefsina 19200, Greece;3. Department of Civil, Chemical, Environmental and Materials Engineering (DICAM), University of Bologna, via del Risorgimento 2, Bologna 40136, Italy |
| |
| Abstract: | A scheme is presented which yields hourly meteorological data from climatological measurements at a grassland station. These hourly values are used to calculate surface conductance for a pine forest using a model incorporating several environmental feedback mechanisms (Stewart, 1987) and transpiration using the Penman—Monteith equation. Mean observed and predicted surface conductance and transpiration agreed well (6.2 and 6.0 mm s−1 and 100.4 and 99.9 W m−2, respectively).The need for soil moisture measurements is removed by applying a simple water balance model. Predicted soil moisture deficits showed good agreement with observed values for 3 years. Total predicted transpiration was 614.5, while the observed transpiration amounted to 609.0 mm.A comparison with simpler models of surface conductance (e.g., Gash and Stewart, 1977) showed the need to include both a specific humidity and a soil moisture deficit feedback in these models. |
| |
| Keywords: | |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
