https://doi.org/10.25773/6zhs-pn89

">
 

Document Type

Data

Department/Program

Virginia Institute of Marine Science

Publication Date

2023

Spatial Information

Chesapeake Bay

Data Access

Zip file under Download Button:

Files Descriptions

  • Benthos observations in npz files: originally from https://www.baybenthos.versar.com/CBBENhome.htm
  • Scripts to process the data
  • Benthos data processed to be organized by group
  • SCHISM model inputs in gr3 files
  • Additional notes.

Abstract

We undertook the collection and analysis of long-term benthos data from the Chesapeake Bay Benthic Monitoring Plan. Multiple ecological function traits related to feeding and disturbance were assigned to each observed benthic species based on a thorough literature review. The spatial distributions of the ecological function groups will be utilized in a 3D hydrodynamic biogeochemistry model simulation. This approach aids in estimating the contributions of benthos to estuarine hypoxia and nutrient dynamics. Furthermore, it fosters a connection between ecologists and modelers, promoting collaborative efforts in understanding and modeling the ecosystem.

Keywords

Benthos, Biomass, Ecological functions, Chesapeake Bay

Associated Publications

In prep for Limnology and Oceanography Letters (L&O Letters)

Publication Statement

TBD

Funding

P. Ignatoff is funded by EPA project: Assessing 2025 Climate Change Risk to the Chesapeake TMDL Using Unstructured Grids through a summer undergraduate internship program. X. Cai was financially supported by an appointment to the Research Participation Program at the Chesapeake Bay Program Office, U.S. Environmental Protection Agency, Region 3, administered by the Oak Ridge Institute for Science and Education through an interagency agreement between the U.S. Department of Energy and the U.S. Environmental Protection Agency. K. Gadeken is supported by NSF #2126708.

Download

Share Feedback

Share

COinS