The Alaska Reference Database originated as the standalone Alaska Fire Effects Reference Database, a ProCite reference database maintained by former BLM-Alaska Fire Service Fire Ecologist Randi Jandt. It was expanded under a Joint Fire Science Program grant for the FIREHouse project (The Northwest and Alaska Fire Research Clearinghouse). It is now maintained by the Alaska Fire Science Consortium and FRAMES, and is hosted through the FRAMES Resource Catalog. The database provides a listing of fire research publications relevant to Alaska and a venue for sharing unpublished agency reports and works in progress that are not normally found in the published literature.
Type
Topic
Year
Displaying 1 - 25 of 29
Hawkes, Lawson
Fuel complexes resulting from power-saw spacing in young coastal Douglas-fir and interior lodgepole pine stands were quantitatively assessed for loading and duration of hazard. Fuel appraisal data were combined with fire weather regimes to derive fire behavior predictions for…
Year: 1980
Type: Document
Source: TTRS
McCarter
The Lanscape Management System (LMS) is an evolving Microsoft Windows™ application that integrates forest inventory information, spatial information, growth models, computer visualization software, and analysis software into a landscape-level analysis tool. This paper presents…
Year: 1997
Type: Document
Source: TTRS
Albini, Reinhardt
[no description entered]
Year: 1997
Type: Document
Source: TTRS
Sheppard, Farnsworth
Fire has been a global disturbance agent for thousands of years. As an ecological process that helped shape the floral and faunal communities of western North America, fire also maintained the health and diversity of forest until European settlers arrived. Since presettlement,…
Year: 1997
Type: Document
Source: TTRS
Mejer
Building on insights provided by Beck (1988), Pyne (1982) and others, the paper views wildland fire as an event revealing a social and scientific field in which basic dilemmas that separate nature and culture, environmental autonomy and human intervention, and the certainty of…
Year: 1997
Type: Document
Source: TTRS
Lord
A probabilistic model is offered for tracing the fate of vegetation communities in fire-prone lands that are subjected to regular fuel reduction burning. The model is based on the semi-Markov process (an extension of Markov chain modelling). The inputs necessary for the semi-…
Year: 1997
Type: Document
Source: TTRS
Graham, Jain, Reynolds, Boyce
The northern goshawk (Accipiter gentilis), is a northern latitude, forest dwelling raptor. In the Western United States, goshawks live in most forests, including those dominated by western hemlock (Tsuga heterophylla (Raf.) Sarg.), lodgepole pine (Pinus contorta Dougl.ex.Loud.)…
Year: 1997
Type: Document
Source: TTRS
Schaefer, Larson
Despite international recognition that alvar habitats are important reservoirs of biodiversity, they remain little studied in North America. In this paper, the results are reported on an investigation of alvars in the central portion of their known distribution on this continent…
Year: 1997
Type: Document
Source: TTRS
Mandallaz, Ye
This paper presents a general statistical methodology for the prediction of forest ftres in the context of Poisson models. It also gives quantitative and qualitative tools for the assessment of different models, as well as some decision theoretical and cost considerations. Case…
Year: 1997
Type: Document
Source: TTRS
Li, Ter-Mikaelian, Perera
Potential temporal fire disturbance patterns on a forest landscape were investigated using a fire regime model with four different fire probability functions: (I)forest age-independent; (2) hyperbolic increase with forest age; (3) sigmoid increase with age; and (4) linear…
Year: 1997
Type: Document
Source: TTRS
McRae
This report provides interim fuel consumption guidelines for five common slash fuel complexes found in Ontario. Slash fuel consumption and depth of burn were found to be related to preburn fuel. loadings, and to fire weather as expressed by the Buildup Index (BUI), a component…
Year: 1980
Type: Document
Source: TTRS
Routledge
Because standard methods for computing the optimal rotation age of a forest stand assume complete knowledge of the stand value at any future time, a forest manager must treat his estimates of future value as if they were completely accurate. Minor, unpredictable fluctuations…
Year: 1980
Type: Document
Source: TTRS
Roussopoulos, Yancik, Radloff
'We have developed a prototype National Fire Occurrence Data Library (NF0DL) to help fire managers interact with resource managers in meeting the new planning requirements of the Resources Planning Act and the National Forest Management Act. The data library provides means for…
Year: 1980
Type: Document
Source: TTRS
Romme
It is often quite difficult to compare fire history studies conducted by different investigators because different terms may be used to refer to the same concept and the same term may be used to refer to different concepts. To help resolve this difficulty, an ad hoc committee…
Year: 1980
Type: Document
Source: FRAMES, TTRS
Fuquay
The National Fire-Danger Rating System (NFDRS) (Deeming and others 1972) has been updated; the revised system will be in use in l978 (Deeming and others 1977). One of the changes in the NFDRS is treatment of lightning-caused fires. A model based on physical and stochastic…
Year: 1980
Type: Document
Source: FRAMES, TTRS
Helfman, Straub, Deeming
This User's Guide is a comprehensive manual for persons accessing the 1978 version of National Fire Danger Rating System on AFFIRMS. AFFIRMS, the Administrative and Forest Fire Information Retrieval and Management System is a user-oriented, interactive computer program. Weather…
Year: 1980
Type: Document
Source: FRAMES
Ward
The mixture of particles, liquids, and gaseous compounds found in smoke from wildland fires is very complex. The potential for long-term adverse health effects is much greater because of this complex mixture. The particles are known to contain many important organic compounds…
Year: 1997
Type: Document
Source: FRAMES
Burgan, Andrews, Bradshaw, Chase, Hartford, Latham
The Fire Behavior Research Work Unit (RWU) of the Intermountain Research Station has been developing the Wildland Fire Assessment System (WFAS) since 1994. The WFAS will eventually combine the functionality of the current fire-danger rating system (Deeming et al. 1977) and the…
Year: 1997
Type: Document
Source: FRAMES, TTRS
Weise, Biging
Wind velocity and slope are two critical variables that affect wildland fire rate of spread. The effects of these variables on rate of spread are often combined in rate-of-spread models using vector addition. The various methods used to combine wind and slope effects have seldom…
Year: 1997
Type: Document
Source: FRAMES, TTRS
Reinhardt, Keane, Brown
A First Order Fire Effects Model (FOFEM) was developed to predict the direct consequences of prescribed fire and wildfire. FOFEM computes duff and woody fuel consumption, smoke production, and fire-caused tree mortality for most forest and rangeland types in the United States.…
Year: 1997
Type: Document
Source: FRAMES, TTRS
Andrews, Bradshaw
A computer program, FIRES: Fire Information Retrieval and Evaluation System, provides methods for evaluating the performance of fire danger rating indexes. The relationship between fire danger indexes and historical fire occurrence and size is examined through logistic…
Year: 1997
Type: Document
Source: FRAMES
Burgan
[no description entered]
Year: 1980
Type: Document
Source: TTRS
Fischer
The Chief of the USDA's Forest Service considers fire equal to such perennial controversies as inflation, herbicies, log exports and timber management practices. The revised USFS fire policy calls for fire management; the previous policy specified fire control. The ultimate…
Year: 1980
Type: Document
Source: TTRS
Andrews
The mathematical fire model can be effectively used to predict fire behavior in wildland fuels. In 131 experimental fires, nearly half of the observations were within 25 percent of over- or underprediction, and 95 percent of the differences between predicted and observed values…
Year: 1980
Type: Document
Source: TTRS