Coastal monitoring through partnerships : proceedings of the Fifth Symposium on the Environmental Monitoring and Assessment Program (EMAP), Pensacola Beach, FL, U.S.A., April 24-27, 2001 /
scientific editors, Brian D. Melzian ... [et al.].
Dordrecht ; Boston : Kluwer Academic Publishers, c2003.
viii, 408 p. : ill. (some col.), maps ; 25 cm.
1402010893 (alk. paper)
More Details
added author
Dordrecht ; Boston : Kluwer Academic Publishers, c2003.
1402010893 (alk. paper)
general note
"Reprinted from Environmental Monitoring and Assessment, Volume 81, Nos. 1-3, 2003"
catalogue key
Includes bibliographical references.
A Look Inside
This item was reviewed in:
SciTech Book News, September 2003
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Main Description
As the coastal human population increases in the United States, there will likely be increasing environmental and socioeconomic pressures on our coastal and estuarine environments. Monitoring the condition of all our nation's coastal and estuarine ecosystems over the long term is more than any one program can accomplish on its own. Therefore, it is crucial that monitoring programs at all levels (local, state, and federal) cooperate in the collection, sharing, and use of environmental data. This volume is the proceedings of the Coastal Monitoring Through Partnerships symposium that was held in Pensacola, Florida in April of 2001, and was organized by the U.S. Environmental Protection Agency's (EPA's) Environmental Monitoring and Assessment Program (EMAP), and the Council of State Governments (CSG). It contains papers that describe various multi-disciplinary coastal and estuarine environmental monitoring programs, designed and implemented by using regional and national partnerships with federal and state agencies, academia, Native American tribes, and nongovernmental organizations. In addition, it includes papers on modeling and data management; monitoring and assessment of benthic communities; development of biological indicators and interlaboratory sediment comparisons; microbiological modeling and indicators; and monitoring and assessment of phytoplankton and submerged aquatic vegetation. There are many components involved in determining the overall impacts of anthropogenic stressors on coastal and estuarine waters. It will take strong partnerships like those described in this volume to ensure that we have healthy and sustainable coastal and estuarine environments, now and in the future.
Table of Contents
Prefacep. 1
Regional and National Coastal Monitoring Partnership Programs
Southern California's Marine Monitoring System Ten Years After the National Research Council Evaluationp. 3
Effective Application of Monitoring Information: The Case of San Francisco Bayp. 15
Bi-National Assessment of the Great Lakes: SOLEC Partnershipsp. 27
The MYSound Project: Building an Estuary-Wide Monitoring Network for Long Island Sound, U.S.A.p. 35
Conservation and Management Applications of the REEF Volunteer Fish Monitoring Programp. 43
The Coastal Component of the U.S. Integrated Ocean Observing Systemp. 51
Monitoring Approaches, Modeling, and Data Management
Great Lakes Monitoring Results--Comparison of Probability Based and Deterministic Sampling Gridsp. 63
A Hydrologic Network Supporting Spatially Referenced Regression Modeling in the Chesapeake Bay Watershedp. 73
The Importance of Considering Spatial Attributes in Evaluating Estuarine Habitat Condition: The South Carolina Experiencep. 85
Living with a Large Reduction in Permitted Loading by Using a Hydrograph-Controlled Release Schemep. 97
A Proposed Coast-Wide Reference Monitoring System for Evaluating Wetland Restoration Trajectories in Louisianap. 107
Stormwater Toxicity in Chollas Creek and San Diego Bay, Californiap. 119
Managing Troubled Data: Coastal Data Partnerships Smooth Data Integrationp. 133
Benthic Communities Monitoring and Assessment
Incidence of Stress in Benthic Communities Along the U.S. Atlantic and Gulf of Mexico Coasts Within Different Ranges of Sediment Contamination From Chemical Mixturesp. 149
Application of the Benthic Index of Biotic Integrity to Environmental Monitoring in Chesapeake Bayp. 163
Spatial Scales and Probability Based Sampling in Determining Levels of Benthic Community Degradation in the Chesapeake Bayp. 175
An Approach for Identifying the Causes of Benthic Degradation in Chesapeake Bayp. 187
Variability in the Identification and Enumeration of Marine Benthic Invertebrate Samples and its Effect on Benthic Assessment Measuresp. 199
Biological Indicators & Interlaboratory Sediment Comparisons
Production, Respiration and Net Ecosystem Metabolism in U.S. Estuariesp. 207
Foraminifera as Bioindicators in Coral Reef Assessment and Monitoring: The Foram Indexp. 221
Monitoring Nekton as a Bioindicator in Shallow Estuarine Habitatsp. 239
Interlaboratory Variability of Amphipod Sediment Toxicity Tests in a Cooperative Regional Monitoring Programp. 257
Making Performance-Based Chemistry Work: How We Created Comparable Data Among Laboratories as Part of a Southern California Marine Regional Assessmentp. 269
Microbiological Modeling, Indicators, and Monitoring
Characterization and Statistical Modeling of Bacterial (Escherichia coli) Outflows From Watersheds That Discharge Into Southern Lake Michiganp. 289
Comparison of Beach Bacterial Water Quality Indicator Measurement Methodsp. 301
Molecular Approaches to Microbiological Monitoring: Fecal Source Detectionp. 313
Characterization of Microbial Communities from Coastal Waters Using Microarraysp. 327
Using Multiple Antibiotic Resistance and Land Use Characteristics to Determine Sources of Fecal Coliform Bacterial Pollutionp. 337
Monitoring and Assessment of Phytoplankton and Submerged Aquatic Vegetation Communities
Long-Term Phytoplankton Trends and Related Water Quality Trends in the Lower Chesapeake Bay, Virginia, U.S.A.p. 349
Initial Results From a Multi-Institutional Collaboration to Monitor Harmful Algal Blooms in South Carolinap. 361
A Pilot Project to Detect and Forecast Harmful Algal Blooms in the Northern Gulf of Mexicop. 373
Preliminary Investigation of Submerged Aquatic Vegetation Mapping Using Hyperspectral Remote Sensingp. 383
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