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1 | (2) |
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B. Regional and National Coastal Monitoring Partnership Programs |
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Southern California's Marine Monitoring System Ten Years After the National Research Council Evaluation |
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3 | (12) |
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Effective Application of Monitoring Information: The Case of San Francisco Bay |
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15 | (12) |
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Bi-National Assessment of the Great Lakes: SOLEC Partnerships |
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27 | (8) |
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The MYSound Project: Building an Estuary-Wide Monitoring Network for Long Island Sound, U.S.A. |
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35 | (8) |
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Conservation and Management Applications of the REEF Volunteer Fish Monitoring Program |
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43 | (8) |
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Christy V. Patiengill-Semmens |
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The Coastal Component of the U.S. Integrated Ocean Observing System |
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51 | (12) |
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C. Monitoring Approaches, Modeling, and Data Management |
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Great Lakes Monitoring Results---Comparison of Probability Based and Deterministic Sampling Grids |
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63 | (10) |
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A Hydrologic Network Supporting Spatially Referenced Regression Modeling in the Chesapeake Bay Watershed |
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73 | (12) |
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The Importance of Considering Spatial Attributes in Evaluating Estuarine Habitat Condition: The South Carolina Experience |
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85 | (12) |
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Living with a Large Reduction in Permitted Loading by Using a Hydrograph-Controlled Release Scheme |
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97 | (10) |
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A Proposed Coast-Wide Reference Monitoring System for Evaluating Wetland Restoration Trajectories in Louisiana |
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107 | (12) |
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Stormwater Toxicity in Chollas Creek and San Diego Bay, California |
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119 | (14) |
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Managing Troubled Data: Coastal Data Partnerships Smooth Data Integration |
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133 | (16) |
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D. Benthic Communities Monitoring and Assessment |
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Incidence of Stress in Benthic Communities Along the U.S. Atlantic and Gulf of Mexico Coasts Within Different Ranges of Sediment Contamination From Chemical Mixtures |
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149 | (14) |
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Application of the Benthic Index of Biotic Integrity to Environmental Monitoring in Chesapeake Bay |
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163 | (12) |
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Spatial Scales and Probability Based Sampling in Determining Levels of Benthic Community Degradation in the Chesapeake Bay |
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175 | (12) |
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An Approach for Identifying the Causes of Benthic Degradation in Chesapeake Bay |
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187 | (12) |
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Variability in the Identification and Enumeration of Marine Benthic Invertebrate Samples and its Effect on Benthic Assessment Measures |
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199 | (8) |
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E. Biological Indicators & Interlaboratory Sediment Comparisons |
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Production, Respiration and Net Ecosystem Metabolism in U.S. Estuaries |
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207 | (14) |
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Foraminifera as Bioindicators in Coral Reef Assessment and Monitoring: The FORAM Index |
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221 | (18) |
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Elizabeth M. Cockey-Burkhard |
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Monitoring Nekton as a Bioindicator in Shallow Estuarine Habitats |
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239 | (18) |
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Interlaboratory Variability of Amphipod Sediment Toxicity Tests in a Cooperative Regional Monitoring Program |
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257 | (12) |
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Making Performance-Based Chemistry Work: How We Created Comparable Data Among Laboratories as Part of a Southern California Marine Regional Assessment |
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269 | (20) |
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F. Microbiological Modeling, Indicators, and Monitoring |
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Characterization and Statistical Modeling of Bacterial (Escherichia coli) Outflows From Watersheds That Discharge Into Southern Lake Michigan |
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289 | (12) |
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Comparison of Beach Bacterial Water Quality Indicator Measurement Methods |
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301 | (12) |
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Molecular Approaches to Microbiological Monitoring: Fecal Source Detection |
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313 | (14) |
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Characterization of Microbial Communities from Coastal Waters Using Microarrays |
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327 | (10) |
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Using Multiple Antibiotic Resistance and Land Use Characteristics to Determine Sources of Fecal Coliform Bacterial Pollution |
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337 | (12) |
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G. Monitoring and Assessment of Phytoplankton and Submerged Aquatic Vegetation Communities |
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Long-Term Phytoplankton Trends and Related Water Quality Trends in the Lower Chesapeake Bay, Virginia, U.S.A. |
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349 | (12) |
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Initial Results From a Multi-Institutional Collaboration to Monitor Harmful Algal Blooms in South Carolina |
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361 | (12) |
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A Pilot Project to Detect and Forecast Harmful Algal Blooms in the Northern Gulf of Mexico |
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373 | (10) |
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Preliminary Investigation of Submerged Aquatic Vegetation Mapping Using Hyperspectral Remote Sensing |
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383 | (10) |
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Effect of El Nino on Demographic, Morphological, and Chemical Parameters in Turtle-Grass, Thalassia testudinum: an Unexpected Test of Indicators |
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393 | |
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