2 edition of Using HFire for spatial modeling of fire in shrublands found in the catalog.
Using HFire for spatial modeling of fire in shrublands
by United States Dept. of Agriculture, Forest Service, Pacific Southwest Research Station in Albany, CA
Written in English
|Statement||Seth H. Peterson ... [et al.].|
|Series||Research paper / Pacific Southwest Research Station -- PSW-RP-259|
|Contributions||Peterson, Seth H.|
|LC Classifications||QK938.F6 U83 2009|
|The Physical Object|
|Pagination||44 p. :|
|Number of Pages||44|
|LC Control Number||2009376292|
Prehistoric ﬁre area The amount of area in California by vegetation type was obtained from Barbour and Majors’ widely cited Terrestrial Vegetation of California (). Information on the ﬁre history of each vegetation type was obtained and File Size: KB. Annual Land Use and Land Cover (LULC) maps are needed to identify the interaction between landscape changes and wildland fires. Objectives: In this work, we determined fire hazard changes in a representative Mediterranean landscape through the classification of annual LULC types and fire perimeters, using a dense Landsat Time Series (LTS) during the – .
Groeneveld J, Enright NJ, Lamont BB, Wissel C: A spatial model of coexistence among three Banksia species along a topographic gradient in fire-prone shrublands. J Ecol. , /jx. Article; Google ScholarCited by: 8. 1. The natural fire return interval for chaparral is 30 to years or , there are more fires than the chaparral ecosystem can tolerate - see #2 below). 2. Fires more than once every 20 years, or during the cool season by prescribed fire, can eliminate chaparral by first reducing its biodiversity through the loss of fire-sensitive species, then by converting it to non-native.
 We used the official mapped fire history from – to test how well our models of long‐term fire weather severity patterns predict large fire probabilities in the Mediterranean‐type shrublands characteristic of the study area. To examine possible sensitivities to event size, different criteria were used to define “large Cited by: Peterson SH, Morais ME, Carlson JM, Dennison PE, Roberts DA, Moritz MA, Weise DR () Using HFire for spatial modeling of fire in shrublands. USDA Forest Service, Pacific Southwest Research Station, Research Paper PSW-RP (Albany, CA)Cited by:
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Buy Using HFire for Spatial Modeling of Fire on Shrublands on FREE SHIPPING on qualified orders Using HFire for Spatial Modeling of Fire on Shrublands: Seth H. Peterson, Marco E. Morais, Jean M.
Carlson, Philip E. Dennison, Dar A. Roberts, Max A. Moritz, David R. Weise, U.S. Department of Agriculture, Forest Service: Using HFire for Spatial Modeling of Fire in Shrublands 1 Introduction Interest in predictive models of wildland fire spread has existed since the late s, and a substantial body of related information has been published on such models (Catchpole and DeMestreFinneyFonsPittsWeberYassemi et al.
).Cited by: An efficient raster fire-spread model named HFire is introduced. HFire can simulate single-fire events or long-term fire regimes, using the same fire-spread algorithm. This paper describes the HFire algorithm, benchmarks the model using a standard set of tests developed for FARSITE, and compares historical and predicted fire spread perimeters for three southern California by: HFire (Highly Optimized Tolerance Fire Spread Model) is a spatially explicit model of surface fire spread through shrubland fuels for real time use during complex fire situations.
HFire and FARSITE are based on the Rothermel equation, but HFire uses a more computationally efficient raster based algorithm to model fire spread in two dimensions. Using HFire for spatial modeling of fire in shrublands 44 p.
(OCoLC) Material Type: Document, Government publication, National government publication, Internet resource: Document Type: Internet Resource, Computer File: All Authors / Contributors: Seth H Peterson; Pacific Southwest Research Station.
Spatial Modeling of Fire in Shrublands using HFire: Model Description and Event Simulation. Using HFire for Spatial Modeling of Fire in Shrublands. Using a new model called HFire, we are able to generate and analyze extended simulations of fire regimes.
HFire is a “physical” or “mechanistic” model that simulates fire growth from physical principles and the Rothermel () equations of fire spread. A detailed. A raster based, spatially explicit model of surface fire spread called HFire is introduced.
HFire uses the Rothermel fire spread equation to determine one dimensional fire spread, which is then fit to two dimensions using the solution to the fire containment problem and the empirical double ellipse formulation of Anderson. The book is the first reference to provide methods and applications for combining the use of R and GIS in modeling spatial processes.
It is an essential tool for students and researchers in earth and environmental science, especially those looking to better utilize GIS and spatial modeling. 1 1 Modeling long-term fire regimes of southern California shrublands 2 3 (Suggested running head: “Modeling fire regimes with HFire”) 4 5 Seth H.
Petersona, Max A. Moritzb, Marco E. Moraisc, Philip E. Dennisond, and Jean M. 6 Carlsone 7 8 9 a Department of Geography, UC Santa Barbara, CAUSA 10 b Center for Fire Research & Outreach, Department of. A spatial model was used to simulate plant extinction in relation to prescribed burning in fire-prone shrublands.
Prescribed burning may be used to manipulate fuel to levels that are sub-critical for fire-spread in extreme by: The Spatial Solutions Fire Ecology Project is a collaboration between The University of Melbourne, La Trobe University and the Victorian Department of Environment, Land, Water and Planning.
This will involve linking ecological models, biodiversity indices, fire simulations and decision tools for better fire management. will enable land.
Modeling fire in semi-desert grassland/oak woodland: The spatial implications Article in Ecological Modelling (3) August with 46 Reads How we measure 'reads'.
A generic, empirical-based model for predicting rate of fire spread in shrublands for improving the operational spatial planning of fire management.
our models using a. The book gives a synthetic overview of methods, data and simulation models for evaluating fire regime processes in forests, shrublands and woodlands and assembles case studies of fire, climate and land use histories.
Richard_D._Stratton. of the fire environment (weather, fuel, topography). This paper describes and provides examples of several common models, tools, and methods for spatial fire growth and behavior modeling and weather and fire analysis for use in research, wildland fire decision support, and land management planning.
We also used logistic regression models to predict the relative probability of ignition occurrence, as a function of the resulting fire size. Results show that fire ignitions are strongly related to human presence and activity, and that the spatial patterns of ignitions are different for larger or smaller by: The current fire regime of southern California shrublands extends over a broad range of fire sizes from numerous small fires to relatively few large, intense, stand-replacing fires, at a to year recurrence interval (Davis and Michaelsen ; Moritz ; Keeley ; Moritz et File Size: 1MB.
Fire Ecology in Rocky Mountain Landscapes brings a century of scientific research to bear on improving the relationship between people and recent years, some scientists have argued that current patterns of fire are significantly different from historical patterns, and thatlandscapes should be managed with an eye toward reestablishing past fire regimes.
Fire is the most important ecological and forest disturbance agent worldwide, is a major way by which carbon is transferred from the land to the atmosphere, and is globally a significant source of greenhouse gases and aerosols. Wildfires across all major biome types globally consume about 5% of net annual terrestrial primary production per annum, and release about Pg C per .Specifically, we examined the response of three fire regime metrics (fire size distributions, fire return interval maps, cumulative total area burned) to variations in the number of ignitions, the spatial pattern of ignitions, the number of Santa Ana wind events, and live fuel moisture, using the HFire fire spread by: Severity of wildfires is a critical component of the fire regime and plays an important role in determining forest ecosystem response to fire disturbance.
Predicting spatial distribution of potential fire severity can be valuable in guiding fire and fuel management planning. Spatial controls on fire severity patterns have attracted growing interest, but few studies have Cited by: