Site Map for CADDIS
Volume 1- Stressor Identification
Stressor Identification Guidebook
- Getting Started
- Using the Step-by-Step Guide
- Guide Overview
- Fundamentals of Causal Analysis
- Step 1. Define the Case
- Overview
- In-depth Look
- Results and Next Steps
- Step 2. Candidate Causes
- Overview
- In-depth Look
- Results and Next Steps
- Step 3. Data from the Case
- Overview
- In-depth Look
- Results and Next Steps
- Step 4. Data from Elsewhere
- Overview
- In-depth Look
- Results and Next Steps
- Step 5. Identify Probable Causes
- Overview
- Weigh Evidence for Each Cause
- Compare Evidence Among Causes
- Complete Causal Analysis
- About Causal Assessment
- Our Causal Approach
- Weigh Evidence for Each Cause
- Compare Evidence Among Causes
- Complete Causal Analysis
- Quantifying Uncertainty
- Summary Tables of Types of Evidence
- Summary Tables of Scores
- Tips for Listing Candidate Causes
- Listing Multiple Stressors as Candidate Causes
Volume 2 - Sources, Stressors and Responses
- Basic Information
- Learn About Sources
- Learn About Stressors
- Learn About Responses
- Learn About Conceptual Diagrams
Source / Stressor Module
- Ammonia
- Dissolved Oxygen
- Flow Alteration
- Herbicides
- Insecticides
- Ionic Strength
- Metals
- Nutrients
- pH
- Physical Habitat
- Sediment
- Temperature
- Unspecified Toxic Chemicals
- Urbanization
- What is Urbanization?
- Riparian/Channel Alteration
- What Are Wastewater Inputs?
- Stormwater Runoff and Impervious Surfaces
- Water and Sediment Quality in Urban Streams
- Urbanization and Stream Temperature
- Hydrology: Flow Alteration in Urban Streams
- Physical Habitat in Urban Streams
- Urbanization and Basal Energy Sources
- References for the Urbanization Module
Volume 3 - Examples and Applications
- Basic Information
- Analytical Examples
- Worksheet Examples (Little Scioto River, OH)
- Overview
- Define the Case
- List Candidate Causes
- Assemble Data from the Case
- Spatial/Temporal Co-occurrence
- Evidence of Exposure or Mechanism
- Causal Pathway
- Stressor-Response from the Field
- Sediment
- Riffle/Pool
- Dissolved Oxygen
- Ammonia
- Metals
- Summary of Scores from the Case
- Increased % DELT
- Increased Relative Weight
- Decreased % Mayflies and Increased % Tolerant Macroinvertebrates
- Assemble Data from Elsewhere
- Stressor-Response from Laboratory Studies
- Mechanistically Plausible Cause
- Summary of Scores from Elsewhere
- Increased % DELT
- Increased Relative weight
- Decreased % Mayflies and Increased % Tolerant Macroinvertebrates
- Evaluating Multiple Lines of Evidence
- Increased % DELT
- Increased Relative weight
- Decreased % Mayflies and Increased % Tolerant Macroinvertebrates
- Identify Probable Cause
- State Examples
- Case Studies
- Galleries
- Chronic Concentration-Response
- SSDs
- Field Stressor-Response
- References
Volume 4 - Data Analysis
- Basic Information
- Selecting an Analysis Approach
- How Can I Use My Data?
- Establishing Differences from Expectations
- Estimating Stressor-Response Relationships
- Getting Started
- Assembling Data
- Matching Data
- Organizing Data Along Causal Pathways
- Data Quality
- Basic Principles and Issues
- Interpreting Statistics
- Autocorrelation
- Confounding
- Exploratory Data Analysis
- Exploratory Data Analysis (EDA)
- Variable Distributions
- Scatterplots
- Correlation Analysis
- Conditional Probability Analysis
- Multivariate Approaches for Exploring Associations Among Stressor Variables
- Mapping Data: Spatial Analysis and GIS
Analysis and Tools
- Basic Analyses
- Tests of Significant Difference
- Regression Analysis
- Quantile Regression
- Classification and Regression Tree (CART) Analysis
- Advanced Analyses
- Controlling for Natural Variability
- Predicting Environmental Conditions from Biological Observations (PECBO)
- Analyzing Trait Data
- Propensity Score Analysis
- Species Sensitivity Distributions (SSDs)
- Download Software
- Overview
- CADStat
- Species Sensitivity Distribution (SSD) Generator
- R Command Line Tutorial
Data Analysis Topics
- Autocorrelation
- Classification and Regression Trees
- Conditional Probability
- Confidence Intervals
- Confounding
- Controlling for Natural Variability
- Correlation Analysis
- Interpreting Statistics
- Multivariate Data Exploration
- PECBO
- Propensity Scores
- Quantile Regression
- Regression Analysis
- Scatterplots
- Spatial Analysis and GIS
- SSDs
- Tests of Significant Difference
- Traits
Volume 4 - Predicting Environmental Conditions from Biological Observations (PECBO)
Appendix: Technical Details and Programs
Introduction
Using Existing Taxon-Environment Relationships
- Overview
- Download Files & Set Up R
- Standardize Taxonomy
- Assign Operational Taxonomic Units (OTUs)
- Compute Biological Inferences
Estimating Taxon-Environment Relationships
- Overview
- Central Tendencies
- Environmental Limits
- Parametric Regressions
- Non-parametric Regression
- Assessing Model Fit
- Measurement Error
- Survey Weighting
- Placing Taxa into Tolerance Categories
Computing Inferences
R Scripts
Volume 5 - Casual Databases
- Basic Information
- Interactive Conceptual Diagrams (ICDs)
- Introduction
- ICD User Roles & Modes
- Viewing ICDs