
Restoring Life in Running Waters
220 pages
6 x 9
220 pages
6 x 9
Despite nearly three decades of efforts intended to protect the nation's waters, and some success against certain forms of chemical and organic contamination, many of our nation's waterways continue to be seriously degraded. The call of the 1972 Clean Water Act -- "to restore and maintain the chemical, physical, and biological integrity of the Nation's waters" -- remains unanswered.
Restoring Life in Running Waters discusses freshwater ecosystems in the United States and the need for using biology to understand their present condition. The book makes a case for using indexes that integrate measurements of many biological attributes to assess and communicate environmental health. In a unique and innovative format, the authors present 37 premises and 7 myths that explore the theory and practice of biological monitoring and the use of multimetric indexes.
The book explains:
Restoring Life in Running Waters provides practical and effective tools for managers and scientists seeking to understand the impact of human activities on natural systems and to determine proper action to remedy problems. It is an essential handbook for conservation biologists; agency personnel at all levels, including technical staff, policymakers, and program managers; and for anyone working to protect and restore the health of the nation's waters.
"Post-Restoration Water-Quality Monitoring."
Stormwater Magazine
List of Figures, Tables, and Boxes
Acknowledgments
Life in Running Waters
SECTION I. Aquatic Resources Are Still Declining
Premise 1: Water Resources Are Losing Their Living Components
Premise 2: ''Clean Water''� Is Not Enough
Premise 3: Biological Monitoring Is Essential to Protect Biological Resources
Premise 4: ''Health''� and ''Integrity''� Are Meaningful for Environmental Management
SECTION II. Changing Waters and Changing Views Led to Biological Monitoring
Premise 5: Changing Waters and a Changing Society Call for Better Assessment
Premise 6: Biological Monitoring Detects Biological Changes Caused by Humans
Premise 7: Ecological Risk Assessment and Risk Management Depend on Biological Monitoring
SECTION III. Multimetric Indexes Convey Biological Information
Premise 8: Understanding Biological Responses Requires Measuring across Degrees of Human Influence
Premise 9: Only a Few Biological Attributes Provide Reliable Signals about Biological Condition
Premise 10: Graphs Reveal Biological Responses to Human Influence
Premise 11: Similar Biological Attributes Are Reliable Indicators in Diverse Circumstances
Premise 12: Tracking Complex Systems Requires a Measure That Integrates Multiple Factors
Premise 13: Multimetric Biological Indexes Incorporate Levels from Individuals to Landscapes
Premise 14: Metrics Are Selected to Yield Relevant Biological Information at Reasonable Cost
Premise 15: Multimetric Indexes Are Built From Proven Metrics and a Scoring System
Premise 16: The Statistical Properties of Multimetric Indexes Are Known
Premise 17: Multimetric Indexes Reflect Biological Responses to Human Activities
Premise 18: How Biology and Statistics Are Used Is More Important Than Taxon
Premise 19: Sampling Protocols Are Well Defined for Fishes and Invertebrates
Premise 20: The Precision of Sampling Protocols Can Be Estimated by Evaluating the Components of Variance
Premise 21: Multimetric Indexes Are Biologically Meaningful
Premise 22: Multimetric Protocols Can Work in Environments Other Than Streams
SECTION IV. For a Robust Multimetric Index, Avoid Common Pitfalls
Premise 23: Properly Classifying Sites Is Key
Premise 24: Avoid Focusing Primarily on Species
Premise 25: Measuring the Wrong Things Sidetracks Biological Monitoring
Premise 26: Field Work Is More Valuable Than Geographic Information Systems
Premise 27: Sampling Everything Is Not the Goal
Premise 28: Putting Probability-based Sampling Before Defining Metrics Is a Mistake
Premise 29: Counting 100-individual Subsamples Yields Too Few Data for Multimetric Assessment
Premise 30: Avoid Thinking In Regulatory Dichotomies
Premise 31: Reference Condition Must Be Defined Properly
Premise 32: Statistical Decision Rules Are No Substitute for Biological Judgment
Premise 33: Multivariate Statistical Analyses Often Overlook Biological Knowledge
Premise 34: Assessing Habitat Cannot Replace Assessing the Biota
SECTION V. Many Criticisms of Multimetric Indexes Are Myths
Myth 1: ''Biology Is Too Variable To Monitor''�
Myth 2: ''Biological Assessment Is Circular''�
Myth 3: ''We Can't Prove that Humans Degrade Living Systems Without Knowing the Mechanism''�
Myth 4: "Indexes Combine and Thus Lose Information''�
Myth 5: ''Multimetric Indexes Aren't Effective Because Their Statistical Properties Are Uncertain''�
Myth 6: ''A Nontrivial Effort Is Required to Calibrate the Index Regionally''�
Myth 7: ''The Sensitivity of Multimetric Indexes Is Unknown''�
SECTION VI. The Future Is Now
Premise 35: We Can and Must Translate Biological Condition into Regulatory Standards
Premise 36: Citizens Are Changing Their Thinking Faster Than Bureaucracies
Premise 37: Can We Afford Healthy Waters? We Can Afford Nothing Less
References
Index