scholarly journals Spatial overlap of wildfire and biodiversity in California highlights gap in non‐conifer fire research and management

2021 ◽  
Author(s):  
Kendall L. Calhoun ◽  
Melissa Chapman ◽  
Carmen Tubbesing ◽  
Alex McInturff ◽  
Kaitlyn M. Gaynor ◽  
...  
Keyword(s):  
Fire Research ◽  
Spatial Overlap

Masking by Object Substitution: Effects of Spatial Overlap

2002 ◽  
Author(s):  
Donald F. Graves ◽  
Keith A. Hutchison ◽  
Trammell Neill
Keyword(s):  
Substitution Effects ◽  
Spatial Overlap ◽  
Object Substitution

Spatial overlap between forage fishes and the large medusa Chrysaora fuscescens in the northern California Current region

2014 ◽  
Vol 510 ◽  
pp. 167-181 ◽  
Author(s):  
RD Brodeur ◽  
C Barceló ◽  
KL Robinson ◽  
EA Daly ◽  
JJ Ruzicka
Keyword(s):  
California Current ◽  
Northern California ◽  
Forage Fishes ◽  
Spatial Overlap ◽  
Northern California Current ◽  
Current Region

The EX-SHADWELL-Full Scale Fire Research and Test Ship

1988 ◽  
Author(s):  
Homer W. Carhart ◽  
Frederick W. Williams
Keyword(s):  
Full Scale ◽  
Fire Research

Validating Fire Research and Test Protocols

1999 ◽  
Vol 9 (1) ◽  
pp. 71-77
Author(s):  
Factory Mutual Research
Keyword(s):  
Fire Research

Editor's Note: Networking Fire Research Efforts

1999 ◽  
Vol 8 (4) ◽  
pp. 1-1
Author(s):  
Paul R. DeCicco
Keyword(s):  
Fire Research

Scaling applications in fire research

1989 ◽  
Vol 15 (1) ◽  
pp. 3-29 ◽  
Author(s):  
James G. Quintiere
Keyword(s):  
Fire Research ◽  
In Fire

scholarly journals Implementation of spatial overlap modulation nonlinear optical microscopy using an electro-optic deflector

2013 ◽  
Vol 4 (10) ◽  
pp. 1937 ◽  
Author(s):  
Keisuke Isobe ◽  
Hiroyuki Kawano ◽  
Akiko Kumagai ◽  
Atsushi Miyawaki ◽  
Katsumi Midorikawa
Keyword(s):  
Optical Microscopy ◽  
Nonlinear Optical ◽  
Nonlinear Optical Microscopy ◽  
Spatial Overlap ◽  
Electro Optic

Introduction to the fire research lecture 1988

1989 ◽  
Vol 15 (5) ◽  
pp. 347
Author(s):  
D.D. Drysdale
Keyword(s):  
Fire Research

Evaluating a model for predicting active crown fire rate of spread using wildfire observations

2006 ◽  
Vol 36 (11) ◽  
pp. 3015-3028 ◽  
Author(s):  
Martin E Alexander ◽  
Miguel G Cruz
Keyword(s):  
Fire Management ◽  
Model Performance ◽  
The United States ◽  
Fire Research ◽  
Management Decision ◽  
Crown Fire ◽  
Predictive Capacity ◽  
Data Set ◽  
Rate Of Spread ◽  
Spread Model

We evaluated the predictive capacity of a rate of spread model for active crown fires (M.G. Cruz, M.E. Alexander, and R.H. Wakimoto. 2005. Can. J. For. Res. 35: 1626–1639) using a relatively large (n = 57) independent data set originating from wildfire observations undertaken in Canada and the United States. The assembled wildfire data were characterized by more severe burning conditions and fire behavior in terms of rate of spread and the degree of crowning activity than the data set used to parameterize the crown fire rate of spread model. The statistics used to evaluate model adequacy showed good fit and a level of uncertainty considered acceptable for a wide variety of fire management and fire research applications. The crown fire rate of spread model predicted 42% of the data with an error lower then ±25%. Mean absolute percent errors of 51% and 60% were obtained for Canadian and American wildfires, respectively. The characteristics of the data set did not allow us to determine where model performance was weaker and consequently identify its shortcomings and areas of future improvement. The level of uncertainty observed suggests that the model can be readily utilized in support of operational fire management decision making and for simulations in fire research studies.

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