ReSHAPE: Reshaping wildfire and fuels reduction information скачать в хорошем качестве

ReSHAPE: Reshaping wildfire and fuels reduction information

Learn about the Treatment and Wildfire Interagency Geodatabase (TWIG), a geodatabase and viewer integrating nationwide federal—and soon state-level—fuel treatment and wildfire data, and how it differs from other decision support tools and explore its applications, through research examples, for both advanced statistical analysis and use in direct management decisions. Recorded on: Thursday, May 15, 2025 Description: The Southwest Ecological Restoration Institutes (SWERI) established the ReShape program in response to feedback from policymakers, land managers, and researchers. ReShape compiles and displays national-scale data on forest treatments and wildfires through the Treatment and Wildfire Interagency Geodatabase (TWIG), a user-friendly, collaborative, and open-access decision support tool. Research efforts focus on four key areas: social science for collaborative decision-making, biophysical effects of forest treatments, data science for large dataset analysis, and economic assessments led by the Conservation Economics Institute. At this critical stage, ReShape is fostering dialogue on TWIG’s effectiveness while refining the tool to better support wildfire risk reduction efforts. This webinar provides a tool demonstration, lessons from case studies, and answers from audience questions to help researchers, land managers, and graduate students access and incorporate nationwide wildfire and fuel treatment data through the TWIG into their analyses for better understandings of fuel treatment effectiveness across boundaries. Chapters 0:00 Introductions 1:35 Intro to Southwest Ecological Restoration Institutes (SWERI) 05:42 Demonstration on using TWIG 19:14 How is TWIG different? 20:44 Biophysical Effects Case Study One 24:39 Social Science Research Program Highlights 28:17 Economics of Fuel Treatments 34:32 Working Together: SWERI wants to work with you 35:52 Q & A Additional resources: SWERI homepage: https://sweri.org ReSHAPE Website: https://reshapewildfire.org/home Treatment and Wildfire Interagency Geodatabase: https://reshapewildfire.org/twig/layers TWIG Data Resources: https://reshapewildfire.org/resources... Fact sheet of a meta-analysis of treatment economics produced by ERI: https://cdm17192.contentdm.oclc.org/d... The "I don't have time to watch the full webinar" CHATGPT Video Summary Learn about the Treatment and Wildfire Interagency Group (TWIG)—a collaborative initiative designed to centralize and analyze data on fuel treatments and wildfires across U.S. landscapes. This webinar features presentations from SWERI researchers, economists, and data specialists who explained how TWIG enhances interagency coordination, supports research, and informs decision-making on wildfire risk reduction. Purpose and Goals TWIG was created to address a critical challenge: fragmented data on wildfire treatments and outcomes. By integrating data from multiple agencies—such as the U.S. Forest Service, Department of the Interior, and state partners—TWIG compiles an accessible, nationwide database that supports both scientific research and management decisions. Key Components and Data Integration The TWIG viewer tool allows users to visualize and analyze treatment polygons and wildfire perimeters. It incorporates multiple data sources (e.g., NIFORS, FAX, Landfire) and updates regularly—wildfire perimeter data refresh every five minutes, and other treatment data update weekly or biweekly. The platform also supports custom uploads: users can add local or project-specific boundaries (e.g., CFLRP sites or watershed polygons) for tailored analysis. Efforts to quantify the avoided wildfire costs that result from proactive fuel treatments. This includes four major benefit categories: Reduced suppression and response costs Protection of built infrastructure Human health and safety Ecosystem services However, he noted that measuring ROI is complex due to data gaps and the dispersed spatial and temporal nature of wildfire effects. A national workshop of economic experts identified best practices and key knowledge gaps, emphasizing the need to improve baseline understanding of wildfire costs before accurately estimating avoided costs. Future projects will model landscape-level ROI for various fuel treatment strategies using improved economic and damage data. Social Science Insights Decision-support tools like TWIG influence planning. Findings suggest that local expertise and experience remain vital alongside digital tools, and that scale, consultants, and accessibility shape tool adoption across communities. In essence, TWIG represents a major advancement in unifying wildfire and treatment data nationwide—supporting evidence-based management, improving coordination, and enhancing the understanding of the economic and ecological value of fuel treatments.