3 edition of Table for estimating fuel loading in slash and longleaf pine stands. found in the catalog.
Table for estimating fuel loading in slash and longleaf pine stands.
M. Boyd Edwards
by Dept. of Agriculture, Forest Service, Southeastern Forest Experiment Station in Asheville, N.C
Written in English
Issued Nov. 1976.
|Series||Research note SE -- 240.|
|Contributions||Southeastern Forest Experiment Station (Asheville, N.C.), United States. Forest Service.|
|The Physical Object|
|Pagination|| p. :|
Longleaf pine Ground cover Fire management Restoration ecology Modeling abstract Longleaf pine (Pinus palustris Mill.) forests are characterized by unusually high understory plant species diversity, but models describing understory ground cover biomass, and hence fuel load dynamics, are scarce for this ﬁre-dependent ecosystem. measured estimates of dead fuel load, but overestimated 1-hour fuel load by 75%, and hour fuel load by 67%. Model D, used in low pocosins with less than m of brush, and Model P, used in southern pine plantations, provided reasonable estimates of hour fuels on this site, but both overestimated 1-hour fuel load by 75%.
Prescribed fire reduced dead fuel load over the 40 month period. Citation: Haywood, James D. Effects of prescribed fire on vegetation and fuel loads in longleaf pine stands in the bluestem range. In: Stanturf, John A., ed. Proceedings of the 14th biennial . In a comparison of longleaf pine C dynamics with slash pine (Pinus elliottii Engelm.), both species reached a similar average C stock at age 75 years, but when averaged across the whole rotation.
Coarse woody (h) fuels were rare or absent in many of the studies we examined, though they were observed to compose 65% of total surface fuel mass in loblolly pine (Pinus taeda) stands in South Carolina (Glitzenstein et al., ) and 94% in ponderosa pine plantations in California (Reiner et al., ). Not only does longleaf pine outlive the other south-ern pines by – years, it continues to grow and respond to release even at older ages. In one of the ﬁrst studies to examine the growth of longleaf pine, Chap-man () examined the timber tallies of ha of pure even-aged old-growth longleaf pine stands in Tyler County, Texas, USA.
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Prescribed fire. These compartments contained stands of lobloiJy pine, longleaf pine, and hardwood cover types. All four compartments are in red-cockaded woodpecker habitat management zones and are set on a 4-year rotation for prescribed burning.
Fire management objectives include hardwood control and wildfire hazard by: Table for estimating fuel loading in slash and longleaf pine stands. By M. Boyd. Edwards, United States. Forest Service and N.C.) Southeastern Forest Experiment Station (Asheville. Abstract. Issued Nov. Mode of access: Internet.
prescribed fire. These compartments contained stands of loblolly pine, longleaf pine, and hardwood cover types. All four compartments are in red-cockaded woodpecker habitat management zones and are set on a 4-year rotation for prescribed burning. Fire management objectives include hardwood control and wildfire hazard reduction.
High fuel loading Longleaf Pine Sawtimber tons/acre Pine Litter High Fuel Loading Natural Loblolly Pine tons/acre Pine/Hardwood Litter Medium Fuel Loading Slash Pine tons/acre Pine/Hardwood Litter Medium Fuel Loading Natural Loblolly Pine tons/acre Pine/Hardwood Litter Medium Fuel Loading Loblolly Pine File Size: KB.
specifically for estimating fuel loads as a result of clearcut harvesting (Sanders and Van LearSouthern Appalachians) or post-hurricane damage in southern pine forests (Wade and others ).
Also, a photo guide was specifically created for loblolly and longleaf pine plantations in the upper Coastal Plain Region (Scholl and Waldrop ).Author: T. Adam Coates, Thomas A. Waldrop, Todd F. Hutchinson, Helen H. Mohr. Fuel loading estimates can be obtained in a number of ways.
Slash loading can be predicted from information obtained in timber sale surveys (Brown and othersWadeWendel ). Although originally developed to inventory activity-generated downed woody material, Brown's () planar intersect method. maximum fuel load per size class approximately as shown in figure 1.
Fuel load and depth are significant fuel properties for predicting whether a fire will be ignited, its rate of spread, and its intensity. The relationship of fuel load and depth segregates the 13 fuel models into two distinc-tive orientations, with two fuel groups in each (fig.
Perennial grasses and forbs are the primary ground fuel, but there is enough needle litter and branch-wood present to contribute significantly to the fuel loading. Some brush and shrubs may be present but are of little consequence. Types covered by Fuel Model C are open, longleaf, slash, ponderosa, Jeffery, and sugar pine stands.
Weight by size classes of living and dead fuels was sampled in the understory and on the forest floor of stands of slash pine (Pinus elliottii) and mixed slash-longleaf pine (P. palustris) in. models could be attributed to fuel load by size class, fuelbed depth, and fuel particle size.
Parameters for hr and hr SAV were listed for each fuel model, but did not vary among models – 1/ft and 30 1/ft, respectively. Albini () refined those 11 fuel models and added two others, Dormant Brush (6) and Southern Rough (7). tables to estimate the board foot volume of standing trees.
Regression equations have been developed for predicting log weights from species, diameter and length information (Table 1). Using these equations, data tables listing the weight of logs for given diameters and lengths can be derived. Here, we show. The three study sites were within the North Florida flatwoods ecological community and dominated by longleaf pine (Pinus palustris) and/or slash pine (P.
elliottii var elliottii) in the canopy ().Depending on soil drainage and past land use history, some sites were slash pine plantations and others were naturally regenerated mixtures of slash and longleaf pines. – V-blade planted longleaf pine seedlings TPA across 65acres V-blade planted slash pine seedlings TPA across acres (cost per acre is available at the back of the handout) On pine dominated habitats, the DFC table (Table 5) provides a list of species and ranges of.
Regenerating Longleaf Pine Naturally Relative Performance of Longleaf Compared to Loblolly and Slash Pines under Different Levels of Intensive Culture Fertilizing Pine Plantations: A County Agents' Guide for making Fertilization Recommendations Longleaf Pine Can Catch Up Yield Tables and Stand Structure for Unthinned Longeaf Pine Plantations in.
Longleaf pine (Pinus palustris Mill.) forests are characterized by unusually high understory plant species diversity, but models describing understory ground cover biomass, and hence fuel load dynamics, are scarce for this fire-dependent coarse scale estimates, being restricted on accuracy and geographical extrapolation, are available.
collected in 5 forest types (slash pine, loblolly pine, hardwoods, shortleaf pine, and mixed pine provides more precise values for estimating fuel loading and emissions for smoke only litter samples collected in the summer were used for hardwood stands. Pine. EFFECTS OF PRESCRIBED FIRE ON VEGETATION AND FUEL LOADS IN LONGLEAF PINE STANDS IN THE BLUESTEM RANGE James D.
Haywood1 Abstract—Three longleaf pine (Pinus palustris Mill.) sites in the bluestem (Andropogon spp. and Schizachyrium spp.) range were selected in Louisiana for a month study: a shelterwood, a small pole stand, and a newly planted clearcut.
geostatistics, we characterized spatial patterns of pre-burn fuel loads, fire temperature and duration during prescribed burns, and post-burn fuel loads in four longleaf pine stands in the southeastern USA.
Fire temperatures exhibited moderate to strong spatial dependence over medium spatial scales. Variograms suggest that % of sample. Frequent fire in these ecosystems prevents much fuel buildup, and fire intensity and severity are usually low; fuel loading in longleaf pine stands ranges from to 1, pounds per acre (, kg/ha) depending on how open the canopy is [,].
Historically, fires were of variable scale with organic layers in peat bogs sometimes. of the forest is in the longleaf pine type with the remainder in slash pine-hardwood bottoms. Research operations have developed many age classes, from newly germinated seed-lings to stands with trees up to years old.
About 1, acres have been naturally regenerated, and more than half of this forest is in stands ranging from 40 to. Effects of Hurricane Andrew on stands of Slash Pine (Pinus elliottii var.
densa) in the everglades region of south Florida (USA) Article (PDF Available) in Plant Ecology (1) January.Average tree canopy fuel load was kg. On average 41% of canopy fuel load was allocated to the needle, 13% to the fine branch, 20% to the medium branch, 18% to thick branch and 8% to the very.fuel load measurements, the fire behavior model predicted that fire activity (flame length, rate of spread, fireline intensity) would be greater in native than in old-field pinelands, and that time since previous burn and pine basal area would have positive but smaller effects on fire.