Authors:
Schultz, Courtney; Public Lands Policy Group, Colorado State University, Fort Collins, CO 80523-1472.   
Santo, Anna; Institute for Sustainable Environment, University of Oregon, Eugene, Oregon. 
Huber-Stearns, Heidi; Institute for Sustainable Environment, University of Oregon, Eugene, Oregon. 
McCaffrey, Sarah; U.S. Forest Service Rocky Mountain Research Station, Fort Collins, Colorado.

Contact: Heidi Huber-Stearns, hhuber@uoregon.edu

Title:Code Descriptions for EWP Working Paper 99, "Strategies for Increasing Prescribed Fire Application on Federal Lands: Lessons from Case Studies in the U.S. West" 

Date: 3/19/2021

Abstract: This data consistes of themes use in qualitative analysis to code interview data collected during a study investigating policies that affect land managers’ ability to conduct prescribed fire on US Forest Service and Bureau of Land Management (BLM) lands in the 11 Western states. The study goals were to identify policy constraints, facilitative strategies, and actionable opportunities to improve policies or policy implementation to facilitate greater use of prescribed fire.

Keywords: Qualitative codes, Prescribed Fire, Public lands, Western US
    
Details: This project was funded by the Joint Fire Science Program (16-1-02-8) in 2016 with the objectives of identifying the origin and range of interpretation of perceived policy barriers, characterizing the opportunities and mechanisms that are available to overcome barriers at various scales, and educating stakeholders about the most ready opportunities for change. A total of 53 interviews with 62 interviewees were conducted with with BLM and Forest Service staff members involved in planning for and implimenting prescribed fire in four different case studys in the western United States: San Juan National Forest (Colorado), BLM Socorro field office/Cibola National Forest (New Mexico), Sierra national Forest (California), and the Rogue-River Siskiyou National Forest (Oregon).  This data consists of themes used to code these interviews. Data themes include challenges and barriers to accomplishing prescibed burning and factors that help facilitate prescribed burning.