4.7 Article

Wildland fire mid-story: A generative modeling approach for representative fuels

Related references

Note: Only part of the references are listed.
Article Ecology

DUET-Distribution of Understory using Elliptical Transport: A mechanistic model of leaf litter and herbaceous spatial distribution based on tree canopy structure

Jenna S. McDanold et al.

Summary: Heterogeneity in surface fuels, influenced by tree leaf and needle litter accumulation, is important for understanding fire behavior and ecosystem dynamics. A new model called DUET is presented, which estimates variation in surface fuels by considering tree species characteristics, wind data, and location-specific features. The model simulates spatial distributions of leaf litter and grass growth, and sets moisture levels based on relative humidity. This model provides inputs for testing the impact of fuel spatial heterogeneity on fire behavior using process-based models.

ECOLOGICAL MODELLING (2023)

Article Ecology

Terrestrial Laser Scan Metrics Predict Surface Vegetation Biomass and Consumption in a Frequently Burned Southeastern US Ecosystem

Eva Louise Loudermilk et al.

Summary: This study demonstrates the use of single-scan terrestrial laser scanning (TLS) combined with physical measurements to predict understory vegetation and fuel biomass, providing an efficient estimation method for managing prescribed fire and studying its effects.

FIRE-SWITZERLAND (2023)

Article Computer Science, Interdisciplinary Applications

Operationalizing the use of TLS in forest inventories: The R package FORTLS

Juan Alberto Molina-Valero et al.

Summary: Terrestrial Laser Scanning (TLS) devices have great potential for Forest Inventories (FIs) due to their ability to rapidly and automatically register high resolution point clouds. However, the lack of algorithms for processing acquired data, particularly in the single-scan mode, has hindered the operational use of TLS in FI. To overcome this obstacle, the FORTLS package has been developed to automate the processing of single-scan TLS point cloud data for forestry purposes, including features that deal with occlusions. These features improve the efficiency of data acquisition and post-processing, making TLS more valuable for operational use in FIs.

ENVIRONMENTAL MODELLING & SOFTWARE (2022)

Article Environmental Sciences

Modeling Low Intensity Fires: Lessons Learned from 2012 RxCADRE

Rodman R. Linn et al.

Summary: Coupled fire-atmosphere models are increasingly used to study low-intensity fires, such as prescribed fires. This study highlights the critical need to include variable wind fields as inputs in modeling marginal fire conditions. It also emphasizes the complexities in comparing physics-based model results against observations in marginal burning conditions.

ATMOSPHERE (2021)

Article Forestry

Traditional field metrics and terrestrial LiDAR predict plant richness in southern pine forests

C. T. Anderson et al.

Summary: Terrestrial LiDAR is a promising tool for accurate and consistent forest structure measurement, showing potential to address drawbacks of traditional methods. Hybrid models combining LiDAR with traditional sampling accurately predict species richness in certain community types, indicating the technology's potential to improve forest structure-richness relationship studies.

FOREST ECOLOGY AND MANAGEMENT (2021)

Article Meteorology & Atmospheric Sciences

Sensitivity of Grass Fires Burning in Marginal Conditions to Atmospheric Turbulence

Alexandra K. Jonko et al.

Summary: Atmospheric forcing and interactions between fire and atmosphere are primary drivers of wildland fire behavior. The atmosphere is known to be a chaotic system that, although deterministic, is very sensitive to small perturbations to initial conditions. Fire behavior is shown to be sensitive to small variations in atmospheric turbulence, highlighting the need for ensemble simulations to capture both expected fire behavior and uncertainties associated with it.

JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES (2021)

Article Multidisciplinary Sciences

A simplified and affordable approach to forest monitoring using single terrestrial laser scans and transect sampling

Scott Pokswinski et al.

Summary: Integrating Terrestrial Laser Scanning (TLS) methods into forest monitoring strategies can standardize data collection, improve efficiency, and easily adapt to new environmental measurements. This new method simplifies extraction of forestry, fuels, and ecological vegetation variables from a single TLS point cloud, streamlines data collection process, and produces data suitable for models and decision support frameworks.

METHODSX (2021)

Article Forestry

Effects of fuel spatial distribution on wildland fire behaviour

Adam L. Atchley et al.

Summary: Fuel density heterogeneity has a significant impact on fire behavior, with increased density and heterogeneity leading to decreased fire spread and burned area, while large characteristic length scales of spatial fuel density result in increased fire spread and area burned.

INTERNATIONAL JOURNAL OF WILDLAND FIRE (2021)

Article Computer Science, Interdisciplinary Applications

QUIC-fire: A fast-running simulation tool for prescribed fire planning

R. R. Linn et al.

ENVIRONMENTAL MODELLING & SOFTWARE (2020)

Article Multidisciplinary Sciences

Effects of canopy midstory management and fuel moisture on wildfire behavior

Tirtha Banerjee et al.

SCIENTIFIC REPORTS (2020)

Article Remote Sensing

Mapping individual trees with airborne laser scanning data in an European lowland forest using a self-calibration algorithm

Krzysztof Sterenczak et al.

INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION (2020)

Article Statistics & Probability

Cox Point Processes: Why One Realisation Is Not Enough

Athanasios C. Micheas

INTERNATIONAL STATISTICAL REVIEW (2019)

Review Forestry

Applications of the United States Forest Inventory and Analysis dataset: a review and future directions

Wade T. Tinkham et al.

CANADIAN JOURNAL OF FOREST RESEARCH (2018)

Article Engineering, Civil

A 3D physical model to study the behavior of vegetation fires at laboratory scale

Dominique Morvan et al.

FIRE SAFETY JOURNAL (2018)

Article Environmental Studies

Numerical Investigation of Aggregated Fuel Spatial Pattern Impacts on Fire Behavior

Russell A. Parsons et al.

Article Remote Sensing

Imputation of Individual Longleaf Pine (Pinus palustris Mill.) Tree Attributes from Field and LiDAR Data

Carlos A. Silva et al.

CANADIAN JOURNAL OF REMOTE SENSING (2016)

Article Remote Sensing

Imputation of Individual Longleaf Pine (Pinus palustris Mill.) Tree Attributes from Field and LiDAR Data

Carlos A. Silva et al.

CANADIAN JOURNAL OF REMOTE SENSING (2016)

Article Forestry

Incorporating field wind data into FIRETEC simulations of the International Crown Fire Modeling Experiment (ICFME): preliminary lessons learned

Rodman Linn et al.

CANADIAN JOURNAL OF FOREST RESEARCH-REVUE CANADIENNE DE RECHERCHE FORESTIERE (2012)

Article Statistics & Probability

Likelihood Inference for Unions of Interacting Discs

Jesper Moller et al.

SCANDINAVIAN JOURNAL OF STATISTICS (2010)

Article Statistics & Probability

Stationary process approximation for the analysis of large spatial datasets

Sudipto Banerjee et al.

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY (2008)

Review Statistics & Probability

Modern statistics for spatial point processes

Jesper Moller et al.

SCANDINAVIAN JOURNAL OF STATISTICS (2007)

Article Forestry

A physics-based approach to modelling grassland fires

William Mell et al.

INTERNATIONAL JOURNAL OF WILDLAND FIRE (2007)

Article Forestry

Modeling interactions between fire and atmosphere in discrete element fuel beds

R Linn et al.

INTERNATIONAL JOURNAL OF WILDLAND FIRE (2005)