Perceptions of NRCS Assistance with Prescribed Fires on U.S. Private Lands: A Regionally Stratified Case Study

2021 
The benefits of prescribed fires are recognized throughout the United States, but the ability to assist with prescribed fire application on private land by government agencies has many possible constraints and challenges. The Natural Resources Conservation Service (NRCS), a federal agency, is mandated to assist private landowners with meeting land management objectives, but the ability of employees to utilize prescribed fire as a management tool is complex. We conducted a regionally stratified online survey of NRCS employees across the United States to determine the barriers inhibiting their ability to assist private landowners with prescribed fire application. In January of 2020, we recruited 101 NRCS rangeland and grazing land specialists to participate in the survey with 50 completing the survey (regional sample size: Central n = 14, Northeast n = 5, Southeast n = 12, West n = 19). A majority (82%) of respondents thought prescribed fires were staying the same or increasing in number. Regional differences in assistance types were significant for conducting burns and providing technical education, but not for other assistance types. Regional differences for perceived constraints were also significant for how the public understands the risks of prescribed fire and the ecological constraints but not for state policy, federal policy, liability, or public understanding of prescribed fire benefits. Overall and across regions, the NRCS survey participants perceived federal policies, liability, and private landowners’ lack knowledge of prescribed fire limits their ability to assist in the utilization of prescribed fire. Creating a national policy that allows a streamlined process for NRCS employees to assist with prescribed fire implementation and collaborative initiatives to improve private landowner knowledge gaps has the potential to improve prescribed fire application across the United States.
    • Correction
    • Source
    • Cite
    • Save
    • Machine Reading By IdeaReader
    38
    References
    0
    Citations
    NaN
    KQI
    []