Dataset: Alkalinity, Salinity, Bivalve Biomass, Streamflow and, Submerged Aquatic Vegetation in Tidal Tributaries of the Chesapeake Bay from 1984 to 2018.

ValidatedFinal no updates expectedDOI: 10.26008/1912/bco-dmo.887278.1Version 1 (2023-02-17)Dataset Type:model results

Principal Investigator: Raymond Najjar (Pennsylvania State University)

Principal Investigator: Elizabeth Shadwick (Virginia Institute of Marine Science)

Co-Principal Investigator: Marjorie A.M. Friedrichs (Virginia Institute of Marine Science)

Scientist: Sebastian Cintron (Pennsylvania State University)

Scientist: Jaclyn R. Friedman (Virginia Institute of Marine Science)

Scientist: Lorra A. Harris (University of Maryland Center for Environmental Science)

Scientist: Maria Hermann (Pennsylvania State University)

Scientist: Edward G. Stets (United States Geological Survey)

Scientist: Ryan J. Woodland (University of Maryland Center for Environmental Science)

BCO-DMO Data Manager: Karen Soenen (Woods Hole Oceanographic Institution)


Project: Collaborative Research: Multiple Stressors in the Estuarine Environment: What drives changes in the Carbon Dioxide system? (Estuarine Stressors)


Abstract

Alkalinity, Salinity, Bivalve Biomass, Streamflow and Submerged Aquatic Vegetation in Tidal Tributaries of the Chesapeake Bay from 1984 to 2018.

This research was supported with funding from the National Science Foundation's Chemical Oceanography Program (OCE‐1536996 and OCE‐ 1537013) and Research Experiences for Undergraduates (REU) Program (AGS‐1560339, Penn State REU in Climate Science, supporting S. Cintrón Del Valle). Additional support was provided by NASA through Grants NNX14AM37G and NNX14AF93G.

The data are
(1) alkalinity and salinity in the tidal tributaries of the Chesapeake Bay,
(2) alkalinity and streamflow in the Chesapeake Bay watershed,
(3) bivalve biomass data in the Potomac River Estuary, and
(4) submerged aquatic vegetation (SAV) area in the Potomac River Estuary.

The data are in the form of nine netCDF files:

bivalve_data_fixed.nc: bivalve biomass at fixed stations 36 and 40 in the Potomac River Estuary
bivalve_data_random.nc: bivalve biomass at the random stations in Boxes 1 and 2 of the Potomac River Estuary
nontidal_data_reduced.nc: alkalinity and streamflow data at non-tidal stations, reduced dataset
nontidal_data_whole.nc: alkalinity and streamflow data at non-tidal stations, whole processed dataset
nontidal_station_list.nc: geolocation of non-tidal stations
sav_data.nc: areal extent of SAV coverage in Box 1 and 2
tidal_data_reduced.nc: alkalinity and salinity data at tidal stations, reduced dataset
tidal_data_whole.nc: alkalinity and salinity data at tidal stations, whole procesed dataset
tidal_station_list.nc: geolocation of tidal stations

Please see netCDF attributes for each file for parameter names, descriptions, and units 

The data were not collected by the authors but rather derived from the Chesapeake Bay Program's (CBP's) Water Quality Database, United States Geological Survey (USGS) monitoring data, and Virginia Institute of Marine Science (VIMS) long-term aerial imagery monitoring dataset for the Chesapeake Bay (see related datasets).


Related Datasets

IsDerivedFrom

Dataset: https://www.chesapeakebay.net/what/downloads/cbp-water-quality-database-1984-present
Chesapeake Bay Data Hub, Water Quality and calculated physical and nutrient parameters accessed [], at URL https://data.chesapeakebay.net/WaterQuality]
IsDerivedFrom

Dataset: https://scholarworks.wm.edu/data/156
Orth, R. J.; Wilcox, David J.; Whiting, Jennifer R.; Kenne, Anna K.; and Smith, Erica R., "Section: 01 Line Frame: 01 Aug27-17: Aerial Imagery Acquired to Monitor the Distribution and Abundance of Submerged Aquatic Vegetation in Chesapeake Bay and Coastal Bays" (2018). Data. William & Mary. https://scholarworks.wm.edu/data/156
IsDerivedFrom

Dataset: https://nwis.waterdata.usgs.gov/nwis
U.S. Geological Survey, 2001, National Water Information System data available on the World Wide Web (Water Data for the Nation), accessed [], at URL [http://waterdata.usgs.gov/nwis/].
IsRelatedTo

Dataset: https://doi.org/10.26207/w1vs-jz06
Raymond G. Najjar, Maria Herrmann, Sebastian M. Cintron Del Valle, Jaclyn R. Friedman, Marjorie A. M. Friedrichs, Lora A. Harris, Elizabeth H. Shadwick, Edward G. Stets, &amp; Ryan J. Woodland. (2020). <i>Dataset for "Alkalinity in Tidal Tributaries of the Chesapeake Bay"</i> [Data set]. scholarsphere. https://doi.org/10.26207/W1VS-JZ06

Related Publications

Results

Najjar, R. G., Herrmann, M., Cintrón Del Valle, S. M., Friedman, J. R., Friedrichs, M. A. M., Harris, L. A., Shadwick, E. H., Stets, E. G., & Woodland, R. J. (2020). Alkalinity in Tidal Tributaries of the Chesapeake Bay. Journal of Geophysical Research: Oceans, 125(1). Portico. https://doi.org/10.1029/2019jc015597
Methods

Chauvaud, L., Thompson, J. K., Cloern, J. E., & Thouzeau, G. (2003). Clams as CO2 generators: The Potamocorbula amurensis example in San Francisco Bay. Limnology and Oceanography, 48(6), 2086–2092. Portico. https://doi.org/10.4319/lo.2003.48.6.2086
Methods

Chesapeake Bay Program (1996). Recommended guidelines for sampling and analyses in the Chesapeake Bay Monitoring Program:U.S. Environmental Protection Agency.
Methods

Chesapeake Bay Program (2012). Guide to using Chesapeake Bay Program water quality monitoring data. Annapolis, MD: Chesapeake Bay Program.
Methods

Hirsch, R. M., Moyer, D. L., & Archfield, S. A. (2010). Weighted Regressions on Time, Discharge, and Season (WRTDS), with an Application to Chesapeake Bay River Inputs1. JAWRA Journal of the American Water Resources Association, 46(5), 857–880. https://doi.org/10.1111/j.1752-1688.2010.00482.x