EcoSHEDS
Databases, models, and data visualization tools for understanding freshwater ecosystems.
About
EcoSHEDS is a collection of Spatial Hydro-Ecological Data Systems (SHEDS) designed to improve our understanding of stream ecosystems. The goal of EcoSHEDS is to provide a series of user-friendly tools for gaining insight and supporting transparent research, management, and decision-making of hydro-ecological resources.
Each project consists of an integrated platform linking together one or more hydro-ecological databases, models, and data visualization tools.
Recent Updates
The Flow Photo Explorer now provides model predictions at 39 stations in the northeast, mid-atlantic, and midwest regions. While most of these stations focus on streamflow predictions, three of them located on the Fox River in Wisconsin and managed by the USGS Upper Midwest Water Science Center provide predictions of harmful algal blooms (HABs). These predictions were generated using the same annotation process and deep learning model as the streamflow stations and demonstrate how FPE can be used to estimate parameters other than streamflow. More variables (e.g., lake/wetland water levels, snow depths) are currently being developed and will be added soon.
Data & Model Explorers
Flow Photo Explorer
Predicting Streamflow from Timelapse Imagery using AI
Northeast Interactive Catchment Explorer
Stream Temp. and Brook Trout Occupancy Data Visualization Tool
Tagged Animal Movement Explorer
Data Viz Tool for Exploring Animal Movements in Space and Time
RESTORE Data Visualization Tool
Streamflow Alteration in the Lower-Mississippi Gulf Region
AKTEMP
Water Temperature Database for State of Alaska
Fish Tagging Data Visualizations
Three Interactive Data Visualizations of PIT Tag Data
Timeseries Explorer
Interactive Data Visualization for Exploring Timeseries Patterns
Coldwater Refugia in Northeast National Parks
Stream Temp. and Brook Trout Occupancy Data Visualization Tool
Stream Crossings Explorer
Culvert Prioritization Tool for the Deerfield River Watershed (MA)
Native Trout Vulnerability in the Crown of the Continent Ecosystem
Vulnerability Assessment of Native Trout to Climate Change
Aquatic Connectivity Scenario Tool
Culvert Prioritization Tool for UMass Critical Linkages Project
Northeast SHEDS
A crowd-sourced, regional database for discovering and downloading continuous stream temperature data across the northeast. Registered users can upload, manage, and perform QAQC reviews of their data.
A hierarchical, Bayesian model that predicts daily mean stream temperature based on catchment characteristics, precipitation, and air temperature.
A logistic mixed-effects model for predicting the probability of Brook Trout occupancy under historical and potential climate change scenarios based on estimated stream temperatures.
High-resolution catchment delineation spanning the northeast U.S. with pre-computed catchment characteristics include drainage area, impoundments, land use composition and other landscape variables.
Legacy Projects
A simple explorer for viewing daily images of a small stream in western MA. The goal is to understand how the stream changes over time both visually and quantitatively by coupling images to plots of stream flow, temperature, and rainfall.
Adaptation of ICE for exploring land use characteristics, dams, culverts, precipitation, and the LCC development score for catchments across the Deerfield River watershed.
Adaptation of ICE for the Eastern Brook Trout Joint Venture (EBTJV) for exploring catchment characteristics and climate conditions across the native range for eastern brook trout.
Adaptation of ICE for the Columbia River Habitat Monitoring Program (CHaMP) for exploring catchment characteristics, habitat conditions, and stream temperature for Steelhead and Chinook salmon in the Columbia River watershed.
Project Team
Ben is an ecologist interested in 1) understanding factors driving distribution and abundance of stream fishes, 2) developing models for environmental drivers of stream ecosystems and 3) creating data systems that make complex data and models easier to understand and use.
Jeff is a water resources engineer and environmental data scientist who specializes in developing web-based databases, models, and data visualization tools. His mission is to find new ways of using interactive data visualizations to make environmental data and models more accessible.
Jenn is a catchment scientist and Research Hydrologist with a background in watershed management planning, hydrology and hydraulics of river restoration, and measurement and modeling of catchment nutrient and carbon fluxes. Jenn is interested in monitoring environmental characteristics of headwater streams.
- Jason Coombs: application and model developer
- Dan Hocking, Yoichiro Kanno, Evan Childress: model developers
- Evan Grant, Rachel Katz: decision support researchers
- Kyle O'Neil: database and GIS support
- Matt Hodge: application developer
- Ana Rosner: model developer and database support
Funding Sources
