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Assessing Knowledge Ambiguity in the Creation of a Model Based on Expert Knowledge and Comparison with the Results of a Landscape Succession Model in Central Labrador

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Expert Knowledge and Its Application in Landscape Ecology

Abstract

Sustainable forest management (SFM) recognizes that the spatial and temporal patterns generated at different scales by natural landscape and stand dynamics processes should serve as a guide for managing the forest within its range of natural variability (Landres et al. 1999; Gauthier et al. 2008). Landscape simulation modeling is a powerful tool that can help encompass such complexity and support SFM planning (Messier et al. 2003). Forecasting the complex behaviors of a forested landscape involving patterns and processes that interact at multiple temporal and spatial scales poses significant challenges (Gunderson and Holling 2002). Empirical evidence for the functioning of key elements, such as succession and disturbance regimes, is crucial for model parameterization (Mladenoff 2004). However, reliable empirical data about the forest vegetation dynamics that arise in response to forest management and other disturbances may be scarce, particularly in remote areas where harvesting activity has been historically limited.

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Author information

Authors and Affiliations

  1. Département de Sciences Sociales, Secteur Foresterie, Centre d’Étude de la Forêt (CEF), Université du Québec en Outaouais, C.P. 1250, Succursale Hull, Gatineau, QC, J8X 3X7, Canada

    Frédérik Doyon

  2. Institute for Applied Ecosystem Studies, Northern Research Station, USDA Forest Service, 5985 Hwy K, Rhinelander, WI, 54501, USA

    Brian R. Sturtevant & Brian Miranda

  3. Department of Biology, Sonoma State University, 1801 E. Cotati Ave., Rohnert Park, CA, 94928, USA

    Michael J. Papaik

  4. Gowlland Technologies Ltd, Tucker Bay Road, Lasqueti Island, BC, V0R-2J0, Canada

    Andrew Fall

  5. Department of Resource and Environmental Management, Simon Fraser University, 8888 University Drive, Burnaby, BC, V5A 1S6, Canada

    Andrew Fall

  6. Département des Sciences Biologiques, Centre d’Étude de la Forêt (CEF), Institut des Sciences Environnementales, Université du Québec à Montréal, C.P. 8888, Succursale Centre-Ville, Montréal, QC, H3C 3P8, Canada

    Daniel D. Kneeshaw & Christian Messier

  7. Department of Ecology and Evolutionary Biology, University of Toronto, 25 Harbord St., Toronto, ON, M5S 3G5, Canada

    Marie-Josée Fortin

  8. Department of Biological Sciences, University of Alberta, 11455 Saskatchewan Drive, Edmonton, AB, T6G 2E9, Canada

    Patrick M. A. James

Authors
  1. Frédérik Doyon
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  2. Brian R. Sturtevant
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  3. Michael J. Papaik
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  4. Andrew Fall
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  5. Brian Miranda
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  6. Daniel D. Kneeshaw
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  7. Christian Messier
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  8. Marie-Josée Fortin
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  9. Patrick M. A. James
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Corresponding author

Correspondence to Frédérik Doyon .

Editor information

Editors and Affiliations

  1. Ontario Forest Research Institute, Ontario Ministry of Natural Resources, Queen St. East 1235, Sault Ste. Marie, P6A 2E5, Ontario, Canada

    Ajith H. Perera

  2. Dept. Zoology, Biodiversity & Spatial Information Ctr., North Carolina State University, Raleigh, 27695, North Carolina, USA

    C. Ashton Drew

  3. Fac. Natural Resources &, Environmental Studies, University of Northern British Columbia, University Way 3333, Prince George, V2N 4Z9, British Columbia, Canada

    Chris J. Johnson

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Doyon, F. et al. (2012). Assessing Knowledge Ambiguity in the Creation of a Model Based on Expert Knowledge and Comparison with the Results of a Landscape Succession Model in Central Labrador. In: Perera, A., Drew, C., Johnson, C. (eds) Expert Knowledge and Its Application in Landscape Ecology. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-1034-8_10

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