SHEDS is a collection of interactive data visualization tools for exploring and better understanding dynamic relationships in stream ecosystems.
By linking together datasets, models, and decision tools using innovative data visualization interfaces, SHEDS provides a powerful platform for gaining insight, supporting transparent decision making, and improving management of hydro-ecological resources.
An interactive data visualization platform for exploring spatial and temporal patterns of tagged animal movements.
Check out one of the existing projects, or load your own dataset to create a new project and share it with others.
The Interactive Catchment Explorer is a dynamic visualization tool for exploring catchment characteristics and model predictions, as well as for identifying priority catchments across the Northeast region of the United States.
Customized versions of ICE are also available for the following programs and datasets:
An interactive data visualization tool for exploring a variety of hydrologic and other geospatial datasets generated by USGS researchers for the RESTORE project.
Developed in collaboration with the USGS Lower Mississippi Gulf Water Science Center.
An interactive modeling tool that allows users to create scenarios involving combinations of crossing replacements and/or dam removals, and evaluate them for gains in aquatic connectivity and ecological restoration potential.
Developed in collaboration with the UMass Critical Linkages project.
A data visualization and decision support tool to assist with locating and prioritizing stream crossings for restoration in the Deerfield River watershed.
Developed in collaboration with the UMass Critical Linkages project.
A simple interactive data visualization tool for exploring patterns in time series data such as precipitation, rainfall, and streamflow.
A series of interactive data visualizations for exploring fish tagging (PIT) data targeting trout and salmon in two small New England watersheds.
A simple explorer for viewing daily images and graphs of a small stream in western MA. The goal is to see whether these images and graphs can be used together to get a better understanding for how much the stream changes over time. This project is the beginning of a proof of concept to explore whether images can be used to estimate streamflow using machine learning techniques.
Interactive GIS map featuring data layers (brook trout status and habitat patches) and tools (riparian prioritization, drainage area calculator) developed and endorsed by the EBTJV.
The stream temperature database stores regional stream temperature data across multiple organizations and state agencies in the Northeastern U.S. Registered users can upload and manage their own datasets, as well as provide public access to download their own data. This database is primarily used to support the SHEDS modeling and decision support systems.
http://db.ecosheds.org
A series of GIS layers representing hydrologic catchments and flowlines spanning the Northeast region of the United States. This catchment delineation serves as the primary spatial domain for the SHEDS modeling and decision support tools. Associated with the catchment delineation are a series of GIS characteristics (e.g. land use) for each catchment.
Documentation and Downloads: http://conte-ecology.github.io/shedsGisData
The stream temperature model is a nested, hierarchical, Bayesian model that predicts daily stream temperature based on catchment characteristics and weather conditions.
Documentation: http://ecosheds.org/models/stream-temperature/latest/
Letcher BH, Hocking DJ, O’Neil K, Whiteley AR, Nislow KH, O’Donnell MJ. (2016) A hierarchical model of daily stream temperature using air-water temperature synchronization, autocorrelation, and time lags. PeerJ 4:e1727 https://doi.org/10.7717/peerj.1727
The Northeast Brook Trout Occupancy Model is a logistic mixed effects model that includes the effects of landscape, land-use, and climate variables on the probability of Brook Trout occupancy in stream reaches across the Northeast U.S.
Documentation: http://ecosheds.org/models/brook-trout-occupancy/latest/
