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Estimating Taxon-Environment Relationships: Data Requirements

  • Introduction
  • Using Taxon-Environment Relationships
  • Estimating Taxon-Environment Relationships
  • Computing Inferences
  • R Scripts
Helpful Links
Topics In Estimating Taxon-Environment Relationships
  • Overview
  • Data Requirements
  • Central Tendencies
  • Environmental Limits
  • Parametric Regressions
  • Non-Parametric Regressions
  • Assessing Model Fit
  • Measurement Error
  • Survey Weighting
  • Placing Taxa into Tolerance Categories

PECBO Appendix Site Map

Biological and Environmental Data Requirements

Both biological and environmental data are needed to compute tolerance values. For each sampling station a list of taxa should be developed recording one or more of the following: presence/ absence; abundance; or relative abundance of each individual taxon. A large sample size is preferred because in presence/absence models at least 10 occurrences of each taxon is required for each degree of freedom in the statistical model. For example, a typical model relating a taxon's occurrences with a single environmental gradient requires three degrees of freedom, so the data set would have to include at least 30 sites where the taxon was observed, and at least 30 sites where the taxon was absent.

Each biological sample should have a matched environmental dataset collected at the same time and location that includes all of the environmental values of interest, such as pH or stream temperature. A broadly sampled gradient of the environmental variables is crucial to developing tolerance values. A good sampling design should include collecting data near both ends of the environmental gradient so that the biological response to the gradient can be observed.

In general, the higher the taxonomic resolution used for tolerance values, the better for diagnosing environmental stressors. Tolerance values developed for periphyton generally require species level taxonomy or higher. Although family level taxonomy has been used to develop tolerance values for macroinvertebrates, genus (or species) level is preferable.

Causal Analysis/Diagnosis Decision Information System (CADDIS)

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  • Volume 1: Stressor Identification
    • About Causal Assessment
    • Getting Started
    • Step 1. Define the Case
    • Step 2. List Candidate Causes
    • Step 3. Evaluate Data from the Case
    • Step 4. Evaluate Data from Elsewhere
    • Step 5. Identify Probable Causes
  • Volume 2: Sources, Stressors and Responses
    • About Sources
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    • About Stressors
  • Volume 3: Examples and Applications
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  • Volume 4: Data Analysis
    • Selecting an Analysis Approach
    • Getting Started
    • Basic Principles & Issues
    • Exploratory Data Analysis
    • Basic Analyses
    • Advanced Analyses
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  • Volume 5: Causal Databases
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Last updated on February 7, 2025
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