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A Model to Predict the Moisture Content of Reindeer Lichen

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Abstract:

The Fine Fuel Moisture Code (FFMC) of the Canadian Forest Fire Weather Index System is modified to apply to the top layers of reindeer lichen (Cladina rangiferina [L.] Nyl.). While the basic assumption for FFMC, i.e., exponential drying in constant weather influenced by relative humidity, air temperature, and wind, is retained in the calculation of the reindeer lichen moisture code, actual drying in the model is accelerated by isolation. The equilibrium moisture content (E) of sun-exposed reindeer lichen is 3-4% lower than that for shaded fuels. Rainfall causes a more rapid rise of moisture content in reindeer lichen than in FFMC, and the change is proportional to the initial (Mo) and saturation (Ms) moisture contents of the lichen, and the amount of rain (R). The model postulates that after rain the moisture content of the lichen (Mr) is: Mr = Mo + [a(Ms - Mo)/(a + Mo)][1 - e -b(Ms-Mo)R;] Comparison of experimental measurements with calculated values suggests that the model represents moisture content in the top 3-4 cm layer of reindeer lichen. For. Sci. 35(4): 1014-1028.

Keywords: Lichen moisture content; fine fuel moisture; fire danger rating; saturation moisture content

Document Type: Journal Article

Affiliations: Research Forester, Petawawa National Forestry Institute, Canadian Forestry Service, Chalk River, Ontario, K0J 1J0 Canada

Publication date: 1989-12-01

More about this publication?
  • 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

    Also published by SAF:
    Journal of Forestry
    Other SAF Publications
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