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Discussion
In order to properly implement any wildland fire behavior or
fuel model, it is first necessary to understand several underlying
principles and assumptions that underlie the analysis. These
considerations are specific to this study, however, they may
apply to any study area.
The relatively low variation in the study area’s elevation
and relief can result in analysis outputs that are relatively
fuel-dominated. While it is acknowledged that the study area’s
topography can be described as “gently rolling” in
the northwestern and glacially-affected southern subregions,
it must be understood that this relief occurs at too small a
spatial scale to provide meaningful analysis outputs across the
entirety of the study area.
VFRDB sampling locations were located along roadways and trails
that were accessible by vehicle rather than at randomly distributed
forested locations throughout the study area. Although it would
have been ideal to randomize the location of sampling points
throughout the study area, it was quickly realized that the logistics
of physically accessing random forested points throughout the
study area would be a difficult task. 71% of Rhode Island’s
forested land is privately owned and identifying the landowner
to obtain permission would have extended the project beyond the
end date of the grant. Also, since a “brute force” method
of improving accuracy was required, more points in any forested
location served to enhance the analysis. Finally, since off-street
parking is not available at the vast majority of VFRDB sampled
points, safety dictated the location of many VFRDB sampling points.
Sampled locations near roads may skew classification to higher
fuel loadings, and therefore, more volatile fuel models. Since
road edges provide a natural window to sunlight, denser understory
is to be expected in some locations due to the lack of canopy
cover. To combat this potential over estimation of 1-hour and
10 hour live and dead fuel classes, measurements were taken during
both leaf-on and leaf-off seasons (spring-summer and fall-winter,
respectively). Also, whenever possible locations 50 to 100m off
the road would be physically accessed. This “interior” vantage
point minimized the edge effect of the road and allowed the field
surveyor to determine if a VFRDB point taken at the roads edge
would accurately reflect the forest stand it depicts.
These analyses represent “potential” for fire behavior.
In order for an actual fire to ignite and propagate, climactic
conditions must be favorable. A primary reason that the study
area has not sustained an uncontrolled burn in recent history
is due in part to humid weather conditions characterized by high
relative humidity levels and short durations between precipitation
events.
Over 70% of the State’s forest land is composed of deciduous
forest (RIGIS land use code 310). As such, many observations
in the VFRDB were collected in deciduous forest polygons. A
table of fuel models observed and land use forest code can be
found
in figure 7 in the "downloads" section, or in the interactive maps section.
| The difference in fire behavior output between fuel model 10 (“high”) and fuel model 8 (“low”) ratings in the study area is relatively low when compared to other areas in the country. Since slope is a large factor in determining fire behavior, fire behavior in the study area is determined mainly by fuel model. In practice, fire suppression crews are trained to expect fire behavior outputs that are a factor of two above or below the forecast fire behavior for that day. In the study area, the “low” end of fire behavior output values for a “high” fire behavior rating overlaps with the “high” end of output values for a “low” fire behavior rating. |

Fuel Model Properties
Similarities between fuel models 9 and 10 in terms of fireline behavior |
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