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Dataset Overview | National Centers for Environmental Information (NCEI)

NCCOS Assessment: Coastal Ecosystem Assessment of Chesapeake Bay Watersheds, Land Use Patterns and River Conditions from 2007-04-30 to 2012-09-27 (NCEI Accession 0303961)

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This data collection comprises six years of estuarine monitoring for an assessment of coastal ecosystem health in relationship to watershed characteristics, principally land use. This investigation began in 2007 with three mesohaline (moderate salinity) rivers in the upper Chesapeake Bay, each dominated by a unique land use pattern. The Corsica, Magothy, and Rhode rivers were chosen to represent systems dominated by agricultural, residential, and mixed-use lands, respectively. Assessment of these three rivers continued annually through 2011. From 2010 to 2012, three additional oligohaline (low salinity) rivers were studied. These three--the Sassafras, Middle, and Nanjemoy Rivers--demonstrated the health effects of predominantly agricultural, urban, and forested lands, respectively. The health of each riverine ecosystem was assessed using a suite of observations focused on water quality and aquatic organism health. Standard water quality metrics such as dissolved nutrient concentrations, water clarity, and indicator bacteria loads were measured. Organismal health measurements included metrics of blue crab health, fish abundance, dominant fish species, fish parasites, fish disease, and the abundance of submerged aquatic vegetation (SAV). A complete description of the project can be found Leight et al. (2015).
  • Cite as: Leight, Andrew (A.K); Trippe III, Rick; Jacobs, John; McLaughlin, Shawn; Messick, Gretchen (2025). NCCOS Assessment: Coastal Ecosystem Assessment of Chesapeake Bay Watersheds, Land Use Patterns and River Conditions from 2007-04-30 to 2012-09-27 (NCEI Accession 0303961). [indicate subset used]. NOAA National Centers for Environmental Information. Dataset. https://doi.org/10.25921/2a4q-6985. Accessed [date].
gov.noaa.nodc:0303961
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Distributor NOAA National Centers for Environmental Information
+1-301-713-3277
ncei.info@noaa.gov
Dataset Point of Contact NOAA National Centers for Environmental Information
ncei.info@noaa.gov
Time Period 2007-04-30 to 2012-09-27
Spatial Bounding Box Coordinates
West: -77.3248
East: -75.6851
South: 38.2557
North: 39.546
Spatial Coverage Map
General Documentation
Associated Resources
  • Leight, A. (Andrew), Trippe, R., Gonsalves, L., Jacobs, John M., 1970-, & Messick, G. A. (2 C.E.). Coastal ecosystem assessment of Chesapeake Bay Watersheds land use patterns and river conditions. U.S. Department of Commerce, National Oceanic and Atmospheric Administration, National Ocean Service. https://doi.org/10.7289/v5/tm-nos-nccos-207
  • Messick, G.A., J.M. Jacobs, J.R. Brush, S.M. McLaughlin, A.K. Leight, M.R Rhodes, D.H. Howard, L. Gonsalves, and E.J Lewis. 2013. National Centers for Coastal Ocean Science Coastal Ecosystem Assessment Program: a manual of methods. NOAA Technical Memorandum NOS NCCOS 169. Oxford, MD, 123pp. https://repository.library.noaa.gov/view/noaa/2710
  • Leight, A. K., Slacum, W. H., Wirth, E. F., & Fulton, M. H. (2010). An assessment of benthic condition in several small watersheds of the Chesapeake Bay, USA. Environmental Monitoring and Assessment, 176(1–4), 483–500. https://doi.org/10.1007/s10661-010-1599-9
  • Leight, A.K.; J. Jacobs; L. Gonsalves; G. Messick; S. McLaughlin; J. Lewis; J. Brush; E. Daniels; M. Rhodes; L. Collier; B. Wood. 2014. Coastal Ecosystem Assessment of Chesapeake Bay Watersheds: A Story of Three Rivers – the Corsica, Magothy, and Rhode. NOAA Technical Memorandum NOS NCCOS 189. https://repository.library.noaa.gov/view/noaa/2722
  • GIS shapefile (CBseg2003_st_shp) used for river attributes:The Chesapeake Bay Program GIS Data HUB. https://www.chesapeakebay.net/what/data
  • NCCOS Project Webpage; Land Use and Ecosystem Health: Decision-making Tools for Coastal Planning in the Chesapeake Bay Watershed. https://coastalscience.noaa.gov/project/ecosystem-tools-coastal-planning-chesapeake-bay/
  • Associated Submerged Aquatic Vegetation (SAV) data tables. Virginia Institute of Marine Science. https://www.vims.edu/research/units/programs/sav/access/tables/
Publication Dates
  • publication: 2025-05-07
  • creation: 2025-05-02
Data Presentation Form Digital table - digital representation of facts or figures systematically displayed, especially in columns
Dataset Progress Status Complete - production of the data has been completed
Historical archive - data has been stored in an offline storage facility
Data Update Frequency As needed
Supplemental Information
Methods: Samples were collected from small research vessels (and beaches in the case of seine samples) from 2007 to 2012. A variety of gear was employed including datasondes for water physicochemical characteristics, trawls and seines for fish collection, baited lines for crab collection, and a Young grab for bottom sampler. Analytical procedures, e.g. for water nutrients, followed published protocols as appropriate. For a complete description of the methods see Messick et al. (2013).
Purpose In coastal and estuarine regions, land use can have a profound impact on aquatic ecosystem health. In the Chesapeake Bay watershed, agriculture and urbanization have transformed major portions of the landscape, though a significant area remains relatively untouched. This data was used to assess the health of six Bay tributaries with different land use profiles via a suite of water quality and biological condition variables. Linkages were explored between these scored variables and land use in the various watersheds.
Use Limitations
  • accessLevel: public
  • Distribution liability: NOAA and NCEI make no warranty, expressed or implied, regarding these data, nor does the fact of distribution constitute such a warranty. NOAA and NCEI cannot assume liability for any damages caused by any errors or omissions in these data. If appropriate, NCEI can only certify that the data it distributes are an authentic copy of the records that were accepted for inclusion in the NCEI archives.
Dataset Citation
  • Cite as: Leight, Andrew (A.K); Trippe III, Rick; Jacobs, John; McLaughlin, Shawn; Messick, Gretchen (2025). NCCOS Assessment: Coastal Ecosystem Assessment of Chesapeake Bay Watersheds, Land Use Patterns and River Conditions from 2007-04-30 to 2012-09-27 (NCEI Accession 0303961). [indicate subset used]. NOAA National Centers for Environmental Information. Dataset. https://doi.org/10.25921/2a4q-6985. Accessed [date].
Cited Authors
Principal Investigators
Collaborators
Contributors
Resource Providers
Points of Contact
Publishers
Acknowledgments
  • Funding Agency: US DOC; NOAA; NOS; National Centers for Coastal Ocean Science (NCCOS)
  • Funding Agency: NOAA National Centers for Coastal Ocean Science (NCCOS)
Theme keywords NODC DATA TYPES THESAURUS NODC OBSERVATION TYPES THESAURUS WMO_CategoryCode
  • oceanography
Global Change Master Directory (GCMD) Science Keywords NCCOS Research Data Type
  • Field Observation
NCCOS Research Research Priority
  • Marine Spatial Ecology (MSE)
  • Stressors, Impacts, Mitigation
NCCOS Research Topic
  • Chemical Contaminants
  • Ecological/Biological Characterization
Provider Keywords
  • Area of macrophage aggregates in the white perch spleens
  • Ash Weight
  • Biota
  • Blue Crab Disease Assessment
  • Chlorophyll A concentration in water samples
  • Coastal Ecosystem Assessment
  • Demarcation lines that define the river sections
  • Environment
  • Fish community abundance data from beach seine surveys
  • Fish community abundance data from trawl surveys
  • Indicator bacteria concentrations in water samples
  • Inland Waters
  • Integrated Assessment
  • Land Use
  • Locations of sampling sites
  • Number of organisms in sediment samples
  • Nutrient concentrations measured in water samples
  • Percent grain size classes for sediment samples
  • Sample Depth
  • Water physicochemical parameters
  • Watersheds
  • White perch health indicators
Provider Observation Categories
  • GIS Analysis
Data Center keywords NODC COLLECTING INSTITUTION NAMES THESAURUS NODC SUBMITTING INSTITUTION NAMES THESAURUS Global Change Master Directory (GCMD) Data Center Keywords
Platform keywords Provider Platform Names
  • Small research vessel
Instrument keywords NODC INSTRUMENT TYPES THESAURUS Global Change Master Directory (GCMD) Instrument Keywords Provider Instruments
  • Beach seine
  • GIS software
  • High Performance Liquid Chromatography
  • Membrane filtration
  • Otter trawl
  • Trawl and seine
  • Van Veen bottom grab
  • Various collection gear
  • Water grab sample
  • YSI 6600 datasonde
Place keywords NODC SEA AREA NAMES THESAURUS Global Change Master Directory (GCMD) Location Keywords NCCOS Research Geographic Area
  • Estuaries
NCCOS Research Location
  • Region > East Coast
  • U.S. States and Territories > Maryland
Provider Place Names
  • Chesapeake Bay
  • Corsica River
  • Magothy River
  • Middle River
  • Nanjemoy River
  • Rhode River
  • Sassafras River
Keywords NCEI ACCESSION NUMBER
Keywords Send2NCEI Submission Package ID
  • 4CERUN
Use Constraints
  • Cite as: Leight, Andrew (A.K); Trippe III, Rick; Jacobs, John; McLaughlin, Shawn; Messick, Gretchen (2025). NCCOS Assessment: Coastal Ecosystem Assessment of Chesapeake Bay Watersheds, Land Use Patterns and River Conditions from 2007-04-30 to 2012-09-27 (NCEI Accession 0303961). [indicate subset used]. NOAA National Centers for Environmental Information. Dataset. https://doi.org/10.25921/2a4q-6985. Accessed [date].
Data License
Access Constraints
  • Use liability: NOAA and NCEI cannot provide any warranty as to the accuracy, reliability, or completeness of furnished data. Users assume responsibility to determine the usability of these data. The user is responsible for the results of any application of this data for other than its intended purpose.
Fees
  • In most cases, electronic downloads of the data are free. However, fees may apply for custom orders, data certifications, copies of analog materials, and data distribution on physical media.
Lineage information for: dataset
Processing Steps
  • 2025-05-07T21:07:34Z - NCEI Accession 0303961 v1.1 was published.
Output Datasets
Lineage information for: dataset
Processing Steps
  • Parameter or Variable: Environment (measured); Units: na; Observation Category: in situ; Sampling Instrument: na
  • Parameter or Variable: Inland Waters (measured); Units: na; Observation Category: in situ; Sampling Instrument: na
  • Parameter or Variable: Biota (measured); Units: na; Observation Category: in situ; Sampling Instrument: na
  • Parameter or Variable: Coastal Ecosystem Assessment (measured); Units: na; Observation Category: in situ; Sampling Instrument: na
  • Parameter or Variable: Watersheds (measured); Units: na; Observation Category: in situ; Sampling Instrument: na
  • Parameter or Variable: Integrated Assessment (measured); Units: na; Observation Category: in situ; Sampling Instrument: na
  • Parameter or Variable: Land Use (measured); Units: na; Observation Category: in situ; Sampling Instrument: na
  • Parameter or Variable: Number of organisms in sediment samples (measured); Units: Integer number (count); Observation Category: laboratory analysis; Sampling Instrument: Van Veen bottom grab; Sampling and Analyzing Method: Sediment samples were collected using a Van Veen bottom grab, placed in a clean container, and preserved using formalin and rose bengal. In the lab, preserved organisms were identified and counted using dissecting microscopes. Full methods are described in Messick et al. 2013.; Data Quality Method: See Messick et al. 2013
  • Parameter or Variable: Percent grain size classes for sediment samples (measured); Units: percent; Observation Category: laboratory analysis; Sampling Instrument: Van Veen bottom grab; Sampling and Analyzing Method: Samples were collected using a Van Veen bottom grab and stored in a clean container. In the lab, sediment samples were fractionated by size using a standard series of sieves. The weight of each fraction was then used to calculate the percent of sediment falling within the Wentworth sediment size classes. Full methods are described in Messick et al. 2013.; Data Quality Method: See Messick et al. 2013
  • Parameter or Variable: Blue Crab Disease Assessment (calculated); Units: Ranking for disease intensity based on scale of 1 to 3; Observation Category: laboratory analysis; Sampling Instrument: various collection gear; Sampling and Analyzing Method: Blue crabs were collected using various collection gear. Gross observations included weight, sex, sexual maturity, molt stage, and shell disease. Tissue samples were collected preserved in fixative of 1 part glutaraldehyde to 4 parts formalin, and analyzed in the laboratory for gill ciliates, gill detritus, host response and parasites. Full methods are described in Messick et al. 2013.; Data Quality Method: See Messick et al. 2013
  • Parameter or Variable: Fish community abundance data from beach seine surveys (measured); Units: integer (count); Observation Category: in situ; Sampling Instrument: Beach seine; Sampling and Analyzing Method: Fish were collected using a 100’ long by 6’ high beach seine with 1/8in mesh. Fish were identified and counted in the field and then released, except for those white perch retained for fish health assessment. Full methods are described in Messick et al. 2013.; Data Quality Method: See Messick et al. 2013
  • Parameter or Variable: Fish community abundance data from trawl surveys (measured); Units: integer (count); Observation Category: in situ; Sampling Instrument: Otter trawl; Sampling and Analyzing Method: Fish were collected using a 16’ otter trawl, towed behind a small research vessel for no six minutes at 2 knots. Fish were identified and counted in the field and then released, except for those white perch that were retained for fish health assessment. Full methods are described in Messick et al. 2013.; Data Quality Method: See Messick et al. 2013
  • Parameter or Variable: Demarcation lines that define the river sections (calculated); Units: Decimal degrees; Observation Category: other - GIS Analysis; Sampling Instrument: GIS software; Sampling and Analyzing Method: Rivers were broken into sections (upper, middle, and lower) based loosely on river miles. GIS software was used to estimate river miles, draw segmentation lines, and calculate latitude and longitude locations for points that define the ends of the line segments. The GIS shapefile (CBseg2003_st_shp) used for river attributes was collected from the Chesapeake Bay Program GIS Data HUB (http://www.chesapeakebay.net/data); Data Quality Method: See Messick et al. 2013
  • Parameter or Variable: Area of macrophage aggregates in the white perch spleens (measured); Units: Square microns; Observation Category: laboratory analysis; Sampling Instrument: microscope; Sampling and Analyzing Method: White perch spleens were removed by dissection and preserved. They were sectioned and stained histologically. They were examined microscopically and the area of macrophage aggregates was calculated. Full methods are described in Messick et al. 2013.; Data Quality Method: See Messick et al. 2013
  • Parameter or Variable: White perch health indicators (measured); Units: various; Observation Category: in situ; Sampling Instrument: trawl and seine; Sampling and Analyzing Method: White perch from trawls and seines were examined for a number of different health condition. Full methods are described in Messick et al. 2013.; Data Quality Method: See Messick et al. 2013
  • Parameter or Variable: Indicator bacteria concentrations in water samples (measured); Units: Colony forming units per 100 milliters of sample; Observation Category: in situ; Sampling Instrument: membrane filtration; Sampling and Analyzing Method: Bacteria of the genus Enterococcus were measured from surface water samples using membrane filtration. Full methods are described in Messick et al. 2013.; Data Quality Method: See Messick et al. 2013
  • Parameter or Variable: Nutrient concentrations measured in water samples (measured); Units: Micromolar and milligrams per liter; Observation Category: in situ; Sampling Instrument: water grab sample; Sampling and Analyzing Method: Nutrient concentrations measured from grab samples of water. Full methods are described in Messick et al. 2013.; Data Quality Method: See Messick et al. 2013
  • Parameter or Variable: Water physicochemical parameters (measured); Units: various; Observation Category: in situ; Sampling Instrument: YSI 6600 datasonde; Sampling and Analyzing Method: Water physicochemical characteristics was measured using a YSI 6600 datasonde. Full methods are described in Messick et al. 2013.; Data Quality Method: See Messick et al. 2013
  • Parameter or Variable: Chlorophyll A concentration in water samples (measured); Units: Milligrams per liter; Observation Category: in situ; Sampling Instrument: High Performance Liquid Chromatography; Sampling and Analyzing Method: Chlorophyll a was measured from surface water samples. Full methods are described in Messick et al. 2013.; Data Quality Method: See Messick et al. 2013
  • Parameter or Variable: Locations of sampling sites (measured); Units: Decimal Degrees; Observation Category: in situ; Sampling Instrument: GPS; Sampling and Analyzing Method: Sampling site locations were selected using the Random Point tool in ArcMap (ESRI, v8.2). Full methods are described in Messick et al. 2013.; Data Quality Method: See Messick et al. 2013
Acquisition Information (collection)
Instrument
  • GPS
  • microscope
  • seine
  • trawl
Last Modified: 2026-06-03T13:21:11Z
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