Completed Projects

Improving Statistical Sampling and Vegetation Monitoring

Monitoring to detect ecological change is an important component of many environmental and conservation programs. Developing effective monitoring programs for conservation plans is scientifically and logistically challenging. The IEMM has been involved in numerous projects with the aim of improving vegetation monitoring methods by refining field protocols, reducing inter-observer variability, and reducing cost. These projects address many of the fundamental questions surrounding the selection of both response designs and sampling designs and provide a foundation for long-term monitoring. They are also powerful case studies in the value of using advanced statistical techniques to develop and refine cost effective monitoring programs.
  • Deutschman and Strahm 2011. Four years of vegetation monitoring on the Irvine Ranch open space easements in central Orange County, CA. (PDF Format)*
  • Deutschman and Strahm 2011. Evaluation and refinement of vegetation monitoring methods for the San Diego Multiple Species Conservation Program (PDF Format)*
  • Deutschman and Strahm 2009. Improving statistical sampling and vegetation monitoring for TNC easements in central Orange County: Year 2 (PDF Format)*
  • Deutschman and Strahm 2009. Improving statistical sampling and vegetation monitoring for the San Diego MSCP (PDF Format)*
  • Deutschman et al. 2008. Improving statistical sampling and vegetation monitoring for open space in central Orange County (PDF Format)*
  • Deutschman et al. 2008. Using variance components analysis to improve vegetation monitoring for the San Diego Multiple Species Conservation Program (MSCP) (PDF Format)*
two people surveying vegetation

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