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Other Environmental Sciences

Stephen F. Austin State University

Prescribed fire

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Full-Text Articles in Physical Sciences and Mathematics

Effectiveness Of Prescribed Fire On Meeting Fuel Load And Wildlife Habitat Management Objectives In East Texas National Forests, Trey Wall Dec 2018

Effectiveness Of Prescribed Fire On Meeting Fuel Load And Wildlife Habitat Management Objectives In East Texas National Forests, Trey Wall

Electronic Theses and Dissertations

Using standardized methodology outlined by the United States Forest Service and the National Forests and Grasslands in Texas’ Fire Monitoring Program for data collection, the efficacy of current Forest Service prescribed burn regimes were analyzed for 24 study sites in East Texas National Forests. Study sites were located within Sam Houston, Davy Crockett, and Angelina/Sabine National Forests. Efficacy was determined by comparing defined management objectives established by the Forest Service to the data collected at the study sites. The results conclude that most objectives, as outlined by the Forest Service, are not being met with the current practices. Re-visitation of …


Predicting Post-Fire Change In West Virginia, Usa From Remotely-Sensed Data, Michael Strager P. Strager, Melissa Thomas-Van Gundy, Aaron E. Maxwell Nov 2016

Predicting Post-Fire Change In West Virginia, Usa From Remotely-Sensed Data, Michael Strager P. Strager, Melissa Thomas-Van Gundy, Aaron E. Maxwell

Journal of Geospatial Applications in Natural Resources

Prescribed burning is used in West Virginia, USA to return the important disturbance process of fire to oak and oak-pine forests. Species composition and structure are often the main goals for re-establishing fire with less emphasis on fuel reduction or reducing catastrophic wildfire. In planning prescribed fires land managers could benefit from the ability to predict mortality to overstory trees. In this study, wildfires and prescribed fires in West Virginia were examined to determine if specific landscape and terrain characteristics were associated with patches of high/moderate post-fire change. Using the ensemble machine learning approach of Random Forest, we determined that …