Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.14/119384
84 Visitors
89 Hits
0 Downloads
- Title
- A Modified Jarvis-Stewart model for predicting stand-scale transpiration of an Australian native forest
- Related
- Plant and soil, Vol. 305, Issue 1-2 (2008), p.35-47
- DOI
- 10.1007/s11104-007-9399-x
- Publisher
- Springer Netherlands
- Date
- 2008
- FoR/RFCD Code(s)
-
050300 Soil Sciences
060700 Plant Biology
070300 Crop and Pasture Production
- Author/Creator
- Whitley, Rhys
- Author/Creator
- Zeppel, Melanie
- Author/Creator
- Armstrong, Nicholas
- Author/Creator
- Macinnis-Ng, Catriona
- Author/Creator
- Yunusa, Isa
- Author/Creator
- Eamus, Derek
- Description
- Rates of water uptake by individual trees in a native Australian forest were measured on the Liverpool Plains, New South Wales, Australia, using sapflow sensors. These rates were up-scaled to stand transpiration rate (expressed per unit ground area) using sapwood area as the scalar, and these estimates were compared with modelled stand transpiration. A modified Jarvis-Stewart modelling approach (Jarvis 1976), previously used to calculate canopy conductance, was used to calculate stand transpiration rate. Three environmental variables, namely solar radiation, vapour pressure deficit and soil moisture content, plus leaf area index, were used to calculate stand transpiration, using measured rates of tree water use to parameterise the model. Functional forms for the model were derived by use of a weighted non-linear least squares fitting procedure. The model was able to give comparable estimates of stand transpiration to those derived from a second set of sapflow measurements. It is suggested that short-term, intensive field campaigns where sapflow, weather and soil water content variables are measured could be used to estimate annual patterns of stand transpiration using daily variation in these three environmental variables. Such a methodology will find application in the forestry, mining and water resource management industries where long-term intensive data sets are frequently unavailable.
- Description
- 13 page(s)
- Subject Keyword
- 050300 Soil Sciences
- Subject Keyword
- 060700 Plant Biology
- Subject Keyword
- 070300 Crop and Pasture Production
- Subject Keyword
- Jarvis model of transpiration
- Subject Keyword
- canopy conductance
- Subject Keyword
- woodland
- Resource Type
- journal article
- Organisation
- Macquarie University. Dept. of Biological Sciences
- Identifier
- http://hdl.handle.net/1959.14/119384
- Identifier
- ISSN:0032-079X
- Identifier
- mq-rm-2010000787
- Language
- eng
- Reviewed
List Of Titles
