WooDDAM is a collaborative effort to build a database and develop a tool for predicting wood jam dynamics in rivers. This tool, designed for both natural and anthropogenic jams, is intended for both resource managers and researchers. The database includes information about wood jam characteristics, channel and valley bottom morphology, hydrologic regime, and how wood jams change during high flows of varying magnitude. Many wood jams are tracked over multiple years, providing temporal change data. This database feeds a statistical model to predict how wood jams change during high flows, which can subsequently be used to inform decisions on whether to reintroduce or retain wood jams in streams.
Currently, we are focusing on collecting data and soliciting data from others to build the database. Models to predict wood jam dynamics will be available when sufficient data become available. At this time, users can view or download the database, contribute data, and learn more about the project.
This website serves as the user interface for the database and accompanying model for predicting wood jam dynamics. View the Database and Summary Statistics page to access the current database or submit data. View the Statistical Model page to learn more about the model used to predict wood jam dynamics.
You are invited to contribute to the database! If you’d like to help contribute to this collaborative effort to understand wood jams, please visit the Data Collection Spreadsheet and Instructions page to learn how to collect and submit data to the database. Data collection is easy, quick, and cheap. Importantly, this database can help put your wood jams in the context of hundreds of other jams, helping you interpret your data and make more informed decisions.
Once the database is sufficient, the statistical model page will become fully functioning and will be able to provide predictions of wood jam dynamics. We anticipate that models will begin to be viable in late summer 2018. If you think such models would be valuable, we encourage you to help by submitting wood jam monitoring data.
This project is funded by the U.S. Forest Service National Stream Aquatic Ecology Center in partnership with the Warner College of Natural Resources at Colorado State University.