Abstract
The balance of mechanistic detail with mathematical simplicity contributes to the broad use of the Farquhar, von Caemmerer and Berry (FvCB) photosynthetic rate model. Here the FvCB model was coupled with a stomatal conductance model to form an [A,gs] model, and parameterized for mature Populus tremuloides leaves under varying CO2 and temperature levels. Data were selected to be within typical forest light, CO2 and temperature ranges, reducing artifacts associated with data collected at extreme values. The error between model-predicted photosynthetic rate (A) and A data was measured in three ways and found to be up to three times greater for each of two independent data sets than for a base-line evaluation using parameterization data. The evaluation methods used here apply to comparisons of model validation results among data sets varying in number and distribution of data, as well as to performance comparisons of [A,gs] models differing in internal-process components.
Original language | English (US) |
---|---|
Pages (from-to) | 1015-1022 |
Number of pages | 8 |
Journal | Environmental Pollution |
Volume | 158 |
Issue number | 4 |
DOIs | |
State | Published - Apr 2010 |
Bibliographical note
Funding Information:We gratefully acknowledge support from the USDA Northern Global Change Program Forest Service, Award #05-CA-11242343-036, the USDA Forest Service North Central Research Station Integrated Program, Agreement 03-JV-11231300-086, and the Office of Science (BER), U.S. DOE Grant No. DE-FG02-95ER62125. Additional support was provided by the University of Minnesota Duluth's Natural Resources Research Institute and Department of Mathematics and Statistics, and Michigan Technological University.
Keywords
- Parameterization
- Photosynthetic rate model
- Populus tremuloides
- Validation