Exploring Expert Knowledge of Forest Succession: An Assessment of Uncertainty and a Comparison with Empirical Data

  • Michael Drescher
  • Ajith H. Perera


Landscape-scale forest succession models are often used to simulate forest dynamics, and the results of these simulations are used to forecast future forest states. Such forecasts are frequently the basis for strategic decisions about forest management policy and planning. However, large gaps in empirical data stemming from insufficient sampling of the landscapes or poorly understood processes often make it difficult to design and apply the models (Kangas and Leskinen 2005). In consequence, expert knowledge is often used to supplement empirical data during the design and application of the models (e.g., Forbis et al. 2006), though its use remains mostly implicit or inadequately explained by researchers.


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Copyright information

© Springer Science+Business Media, LLC 2012

Authors and Affiliations

  1. 1.School of PlanningUniversity of WaterlooWaterlooCanada
  2. 2.Ontario Forest Research InstituteSault Ste. MarieCanada

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