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Integrating Research on Climate Change Effects on Loblolly Pine: A Probabilistic Regional Modeling Approach

  • James E. Smith
  • Peter B. Woodbury
  • David A. Weinstein
  • John A. Laurence
Part of the Ecological Studies book series (ECOLSTUD, volume 128)

Abstract

Synthesizing probable effects of climate change on such large, complex ecological systems as forests is not readily achieved through experimental manipulation. Therefore, numerical models and assessments based on “expert opinion” are often the bases for projections of future climate effects. The essential goal of each of these two processes is the same: scientific data from short-term, small-scale experiments are projected to larger temporal and spatial scales. Inherent uncertainties and biases are often obscured—usually in proportion to the amount of scaling necessary. Despite potential biases of models, they are an attractive means of synthesizing diverse data because quantitative expressions of predictions are possible.

Keywords

Climate Change Effect Maintenance Respiration Stand Growth Summary Function United Kingdom Meteorological Office 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag New York, Inc. 1998

Authors and Affiliations

  • James E. Smith
  • Peter B. Woodbury
  • David A. Weinstein
  • John A. Laurence

There are no affiliations available

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