Boundary-Line Analysis and Models of Leaf Conductance for Four Oak-Hickory Forest Species
Abstract:Boundary-line analysis was examined as a technique for interpreting and predicting plant responses to fluctuations in several major environmental factors. Four species, Quercus alba, Q. rubra, Q. velutina, and Acer saccharum, were studied across a range of sites over an entire growing season. Air temperature, photosynthetically active radiation, vapor density gradient from leaf to air, leaf temperature, and leaf conductance were measured at hourly intervals throughout each of 32 sample days from June until September. Xylem pressure potential was measured at 0400, 0900, 1200, 1500, and 1900 h each sample day. Data were pooled for each species and boundary lines fitted to determine the general response patterns for each species. Results of this study indicate that the strict use of the boundary lines to interpret plant responses (e.g., leaf conductance), by using the single environmental variable most limiting the response, may seriously overestimate the actual level of response. The use of both information derived from boundary-line analysis and interaction terms proved useful in developing predictive models of leaf conductance. Comparisons of predicted and actual leaf conductance from independent data sets, further indicated the effectiveness of these predictive models. Forest Sci. 31:437-450.
Document Type: Journal Article
Affiliations: Assistant Professor, State and Extension Forestry, Kansas State University, Manhattan, KS 66502
Publication date: 1985-06-01
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- Forest Science is a peer-reviewed journal publishing fundamental and applied research that explores all aspects of natural and social sciences as they apply to the function and management of the forested ecosystems of the world. Topics include silviculture, forest management, biometrics, economics, entomology & pathology, fire & fuels management, forest ecology, genetics & tree improvement, geospatial technologies, harvesting & utilization, landscape ecology, operations research, forest policy, physiology, recreation, social sciences, soils & hydrology, and wildlife management.
Forest Science is published bimonthly in February, April, June, August, October, and December.
2015 Impact Factor: 1.702
Ranking: 16 of 66 in forestry
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