Skip to main content

Data Release: Modeling coastal salinity regime for biological application

Dates

Publication Date
Start Date
1981-01-13
End Date
2017-12-27

Citation

Yurek, S., Reaver, N., Eaton, M., Allen, M., Chagaris, D., Martin, J., Frederick, P., and Dehaven, M., 2023, Data Release: Modeling coastal salinity regime for biological application: U.S. Geological Survey data release, https://doi.org/10.5066/P934VZ8K.

Summary

Salinity regimes in coastal ecosystems are highly dynamic and driven by complex geomorphic and hydrological processes. Estuarine biota are generally adapted to salinity fluctuation, but are vulnerable to salinity extremes. Characterizing coastal salinity regime for ecological studies therefore requires representing extremes of salinity ranges at various time scales relevant to ecology (e.g., daily, monthly, seasonally). This data release provides supporting data for the journal article titled, "Quantifying uncertainty in coastal salinity regime for biological application using quantile regression," by Yurek et al. (2022). A spatially-resolved model was developed that derives quantile distributions of salinity related to various landscape [...]

Contacts

Attached Files

Click on title to download individual files attached to this item.

13.04 GB application/zip

Purpose

This data release provides programming routines and supporting data for quantile regression analyses of salinity regime dynamics in Suwannee Sound, FL. The data release contains (1) scripts used to run the model written in R programming language, (2) input data used to fit the model, and (3) model output predictions across the spatial extent of the Suwannee Sound estuary.

Additional Information

Identifiers

Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/P934VZ8K

Item Actions

View Item as ...

Save Item as ...

View Item...