Design and Analysis Toolkit for Inventory and Monitoring (DATIM)
The Design and Analysis Toolkit for Inventory and Monitoring (DATIM) project is a collaborative effort between the National Forest System (NFS) and Forest Service (FS) Research & Development (R&D), Forest Inventory and Analysis (FIA), and Ecosystem Management Coordination (EMC) staff. The DATIM core team is comprised of both R&D and NFS staff from resource inventory and forest planning programs. The DATIM project has four modules:
- Design Tool for Inventory and Monitoring (DTIM) assists national forests and grasslands and other users in determining objectives, questions, and metrics for monitoring plans.
- Analysis Tool for Inventory and Monitoring (ATIM) enables users to analyze vegetation data to derive estimates of current conditions and trends on the Forest and surrounding landscapes.
- Spatial Intersection Tool (SIT) enables users to add spatial attributes to DATIM datasets for use in ATIM.
- DATIM Compilation System (DCS) enables users to add supplemental Forest Vegetation Simulator (FVS) attributes to DATIM datasets for use in ATIM.
- DATIM version 5.0 was released in production on July 6, 2016.
- DATIM version 6.0 is in development and scheduled for release on December 31, 2016.
- DATIM 5.0 highlights:
- Tabling tool (ATIM) now includes reports for growth, removals and mortality (GRM) and down woody material (DWM).
- Spatial Intersection Tool (SIT) available to add spatial attributes to analyses and National Forest System (NFS) use of actual Forest Inventory & Analysis (FIA) plot locations for NFS lands.
- Planning tool (DTIM) redesigned and updated.
- Compilation system (DCS) includes bug fixes and improved stabilization.
- DATIM 6.0 highlights:
- Convert from Silverlight to .NET to support multiple platforms.
DATIM Data Source Information
For help, email email@example.com.
Project Leadership Team
- Elizabeth Burrill - Core Team Leader, USFS, NRS, FIA
- Gretchen Andrew - Development Project Manager, University of Nevada, Las Vegas (UNLV)
US Forest Service Core Team
- Jim Alegria – NFS, Washington Office, Forest Management
- Elizabeth Burrill – FIA - NRS
- Renate Bush – NFS Region 1, Regional Office
- Joseph Donnegan – FIA – Pacific Northwest Research Station
- James Menlove –FIA – Rocky Mountain Research Station
- Randall Morin - FIA - NRS
- Carlos Ramirez – NFS Region 5, Regional Office
- Leah Rathbun – NFS Region 6, Regional Office
- Valerie Stein – NFS Region 3, Kaibab National Forest, Supervisor’s Office
University of Nevada, Las Vegas (UNLV) and US Forest Service Developers Team
- Gary Brand – UNLV, Computer Systems Analyst
- Gregory Buczek – UNLV, Computer Systems Analyst
- Brian Cordova – UNLV, Computer Systems Analyst
- Ervin “Skeeter” Czimskey – UNLV, Computer Systems Analyst
- Winnie David – UNLV, Research Assistant
- Raymond Kepulis – UNLV, Computer Systems Analyst
- Kanber Lam – UNLV, Computer Systems Analyst
- Jim Pollard – UNLV-FIA Program Director
- Bryan Lanier – FIA – Rocky Mountain Research Station, IT Specialist
- Marcus McElhaney - Region 5, Regional Office, Systems Analyst/Programmer
- Mike Schanta – UNLV (USFS Retired) Subject Matter Specialist/ Tester
- Joseph Zeiler – NFS Region 1, Systems Analyst/Programmer, Planning
- NFS R1 Renate Bush
- NFS R2 Laurie Swisher
- NFS R3 Wayne Robbie
- NFS R4 Jock Blackard
- R5 Carlos Ramirez
- R6 Leah Rathbun
- R8 Peter Gaulke
- R9 Charlene Breeden
- R10 Barbara Schrader
DATIM was first piloted in April of 2013 as an effort to assist National Forests with their planning, inventory and monitoring needs. National Forests need statistically sound and defensible estimates of status and trends that are consistent over time and space. FIA data have these characteristics and are freely available for use at broad scales. In addition, FIA uses a spatially balanced design which can be used for any subset of the area and thus data can be associated with other spatial datasets (resources). DATIM has since expanded to include serving the public.
DATIM is based on the following needs:
- Improve monitoring designs and data analyses by developing nationally consistent tools
- Leverage existing data, research and tools, including Regional Inventory and Monitoring tools, FSVeg, and the FS Geospatial Interface
- Use Forest Inventory & Analysis (FIA) data as base level for intensification
- Draw upon FIA’s research into estimation methods and on optimal sampling and plot design
- Build upon existing FIA design and analysis tools
- Focus on National Forest System needs, including climate change monitoring, then generalize
- Address emerging monitoring requirements at the forest and landscape levels associated with climate change, carbon reporting, bio-fuels, and sustainability