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Energy Conversion and Use in Forests: An Analysis of Forest Production in Terms of Radiation Utilisation Efficiency (ɛ)

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The Use of Remote Sensing in the Modeling of Forest Productivity

Part of the book series: Forestry Sciences ((FOSC,volume 50))

Abstract

The linear relationship between the photosynthetically active solar radiation (PAR) absorbed by forest canopies (APAR) and the production of dry mass by forests provides a simple, robust model with only one parameter for the estimation of forest production. The slope of the relationship is normally denoted ɛ. The ɛ model has been developed from plant production studies and is soundly based physiologically. It has also evolved from remote sensing studies. Although the relationship between APAR and canopy photosynthesis may be highly variable over short periods, it remains constant over longer periods, such as months or seasons.

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Authors and Affiliations

  1. CSIRO Centre for Environmental Mechanics, GPO Box 821, Canberra, ACT, 2610, Australia

    J. J. Landsberg

  2. Department of Geography, University of Maryland, College Park, MD, 20742-8225, USA

    S. D. Prince

  3. Institute of Ecology and Resource Management, University of Edinburgh, Edinburgh, EH9 JU, UK

    P. G. Jarvis

  4. School of Biological Sciences, University of New South Wales, Sydney, NSW, 2052, Australia

    R. E. McMurtrie & B. E. Medlyn

  5. Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, 37831-6038, USA

    R. Luxmoore

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  1. J. J. Landsberg
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  5. R. Luxmoore
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Editors and Affiliations

  1. Tokai University, Tokyo, Japan

    Haruhisa Shimoda

  2. University of Florida, Gainesville, Florida, USA

    Henry L. Gholz

  3. Hiroshima University, Hiroshima, Japan

    Kaneyuki Nakane

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Landsberg, J.J., Prince, S.D., Jarvis, P.G., McMurtrie, R.E., Luxmoore, R., Medlyn, B.E. (1997). Energy Conversion and Use in Forests: An Analysis of Forest Production in Terms of Radiation Utilisation Efficiency (ɛ). In: Shimoda, H., Gholz, H.L., Nakane, K. (eds) The Use of Remote Sensing in the Modeling of Forest Productivity. Forestry Sciences, vol 50. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-5446-8_11

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