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Using Soil Data to Enhance Modeling of Forest Response to Climate Change



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The over-arching theme of this work is that soil data affect the performance and realism of vegetation models with particular focus on their ability to predict or explain disturbances such as fire or disease. We tested the sensitivity of the Excel version of the 3-PG model to soil properties and applied this information to understanding bark beetle attacks in drought-stressed forests. We tested the sensitivity of the MC2 model to soil depth with a particular focus on how soils affect the biogeochemistry and fire modules of the Dynamic Global Vegetation Model (DGVM). We found in these sensitivity analyses, soil depth, soil water storage capacity (ASW) and soil texture are among the most important soil factors to map and include in models [...]


Author :
Wendy L Peterman

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“Wendy Peterman Dissertation”
2.32 MB


  • LC MAP - Landscape Conservation Management and Analysis Portal
  • North Pacific Landscape Conservation Cooperative

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