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Keyword: longleaf pine

Inferring energy incident on sensors in low-intensity surface fires from remotely sensed radiation and using it to predict tree stem injury

Publications Posted on: April 09, 2019
Remotely sensed radiation, attractive for its spatial and temporal coverage, offers a means of inferring energy deposition in fires (e.g. on soils, fuels and tree stems) but coordinated remote and in situ (in-flame) measurements are lacking.

Maximizing the monitoring of diversity for management activities: Additive partitioning of plant species diversity across a frequently burned ecosystem

Publications Posted on: October 03, 2018
Monitoring understory plant diversity is important, allowing managers to track current diversity status and trends both spatially and temporally at a landscape-scale. Improving precision in quantifying patterns in understory plant diversity improves efficiency in monitoring design and more accurate measures of success of management intervention over time.

High-tech help for longleaf pine mapping

Projects Posted on: May 09, 2017
Longleaf pine forests are one of the most critically endangered ecosystems in the world. RMRS scientists and collaborators have developed new tools that can quantify the amount and condition of longleaf pine forest at fine spatial resolution over large areas. Researchers are improving the technologies and software and strengthening the extension and outreach aspects of this work. The next phase of the project will run through 2020.

Imputation of individual longleaf pine (Pinus palustris Mill.) tree attributes from field and LiDAR data

Publications Posted on: September 15, 2016
Light Detection and Ranging (LiDAR) has demonstrated potential for forest inventory at the individual-tree level.

Mapping forest structure and composition from low-density LiDAR for informed forest, fuel, and fire management at Eglin Air Force Base, Florida, USA

Publications Posted on: September 14, 2016
Eglin Air Force Base (AFB) in Florida, in the United States, conserves a large reservoir of native longleaf pine (Pinus palustris Mill.) stands that land managers maintain by using frequent fires. We predicted tree density, basal area, and dominant tree species from 195 forest inventory plots, low-density airborne LiDAR, and Landsat data available across the entirety of Eglin AFB.

Canopy-derived fuels drive patterns of in-fire energy release and understory plant mortality in a longleaf pine ( Pinus palustris ) sandhill in northwest Florida, USA

Publications Posted on: September 14, 2016
Wildland fire radiant energy emission is one of the only measurements of combustion that can be made at high temporal and spatial resolutions. Furthermore, spatially and temporally explicit measurements are critical for making inferences about ecological fire effects.

Forest structure relates to plant diversity, fuels, and fire regime

Science Spotlights Posted on: August 18, 2016
Forest, fuel, and fire management strategies and decisions applied at the scale of forest stands influence not just the tree overstory but also understory plant composition and structure. Understory plants and forest floor materials constitute the surface fuels burned in prescribed fires. Researchers associated LiDAR data from Eglin Air Force Base in Florida with field plot data and fire management records.

RxCADRE: a collaborative interdisciplinary project in fire research

FS News Posted on: February 23, 2016
An interdisciplinary team of 90 scientists worked collaboratively from 2008-2012 on a fire research project called the Prescribed Fire Combustion and Atmospheric Dynamics Research Experiment (RxCADRE). Together, they conducted large-scale interdisciplinary field experiments before, during and after active burning periods of prescribed fires.

Pre-fire and post-fire surface fuel and cover measurements collected in the southeastern United States for model evaluation and development - RxCADRE 2008, 2011 and 2012

Publications Posted on: January 21, 2016
A lack of independent, quality-assured data prevents scientists from effectively evaluating predictions and uncertainties in fire models used by land managers. This paper presents a summary of pre-fire and post-fire fuel, fuel moisture and surface cover fraction data that can be used for fire model evaluation and development.

Patterns and processes: Monitoring and understanding plant diversity in frequently burned longleaf pine landscapes

Projects Posted on: April 13, 2015
Longleaf pine ecosystems are remarkably rich in plant species and represent the dominant upland forest type in several southeastern military bases. We are coupling a series of field experiments with data mining exercises to help managers monitor the impact of various activities on the understory plant community.