Principal
Investigators:
Charles
W. Lafon, Department of Geography, Texas A&M University, College
Station, TX 77843-3147; Phone: (979) 862-3677; Fax: (979) 862-4487;
E-mail: clafon@geog.tamu.edu
Henri
D. Grissino-Mayer, Department of Geography, University of Tennessee,
Knoxville, TN 37996; Phone: (865) 974-6029; Fax: (865) 974-6025;
E-mail: grissino@utk.edu
Federal
Cooperators:
Elaine
K. Sutherland, Rocky Mountain Research Station, Forestry Sciences
Laboratory, P.O. Box 8089, Missoula, MT 59807; Phone: (406)
542-4169; Fax: (406) 543-2663; E-mail: esutherland@fs.fed.us
Steven
Q. Croy, George Washington & Jefferson National Forests, 5162
Valleypointe Parkway, Roanoke, VA 24019; Phone: (540) 265-5153; Fax:
(540) 265-5145; E-mail: scroy@fs.fed.us
Douglas
G. Raeburn, Shenandoah National Park; 3655 U.S. Highway 211 East,
Luray, VA 22835; Phone: (540) 999-3393; Fax: (540) 999-3601; E-mail:
doug_raeburn@nps.gov
Project
Duration: June 1, 2003 - May 31, 2006
Annual
Funding Requested from JFSP: Year 1: $109,627; Year 2: $107,603;
Year 3: $63,420
Total Funding Requested from Joint Fire Science Program:
$280,650
Total
Value of In-Kind and Financial Contributions: $133,396
Abstract:
We propose an investigation of fire history, age structure,
and successional dynamics of yellow pine stands in the Central
Appalachian Mountains, which encompass parts of the Blue Ridge,
Ridge and Valley, and Appalachian Plateaus. We will conduct our work
on the George Washington and Jefferson National Forests and the
Shenandoah National Park. Appalachian yellow pine stands, which are
dominated by Table Mountain pine (Pinus pungens Lamb.) and
pitch pine (P. rigida Mill.), typically occupy xeric sites.
Regeneration and maintenance of the pines appear to require repeated
surface fire, and occasional stand-initiating fires of greater
severity. Fire exclusion appears to be preventing the establishment
and maintenance of pines. Table Mountain pine, an Appalachian
endemic, may largely disappear over time in the continued absence of
burning. Deterioration of Appalachian pine stands has stimulated
interest in the use of prescribed burning, both to regenerate pines
and to reduce hazardous fuel loads, but little research on
Appalachian fire regimes is available to guide fire-restoration. We
will use dendrochronological techniques to date fire scars and
assess the frequency, seasonality, spatial extent, and climatic
relations of past fires. Age structure analysis will reveal whether
pulses of regeneration have occurred, whether the pulses were
associated with fire, and whether pine stands are being maintained.
We will use an individual-based forest gap model to evaluate
hypotheses about disturbance regimes under which the pine stands
developed and to predict likely consequences of reintroducing fire.
We envision that the results of our study will help fill local
knowledge gaps significant to fire management plan development and
implementation (Task 3, JFSP RFP 2001-3). We anticipate this
information being used by land managers in developing guidelines and
policies consistent with restoration of fire as an ecosystem
process.
Introduction
Project Justification
Fire
exerts a strong influence on the development of Appalachian forest
vegetation. The prevalence of southern yellow pine (Pinus)
and oak (Quercus) forests over much of the region apparently
resulted, in part, from frequent, widespread burning in the past
(Abrams 1992; Van Lear and Watt 1993; Williams 1998; Harrod et al.
2000). Both yellow pines and oaks possess characteristics that make
them resistant to or dependent upon fire. For example, Table
Mountain pine (Pinus pungens Lamb.) has serotinous cones, and many
pine and oak species have thick bark (Williams 1998; Harrod et al.
2000; Sutherland and Smith 2000). Optimal yellow pine germination
and seedling establishment occurs where fire reduces the depth of
litter and duff on the forest floor, permitting seedling roots to
reach mineral soil (Williams 1998; Harrod et al. 2000; Welch et al.
2000). Yellow pines are intolerant of shade and appear to require
fires of moderate to high intensity that kill substantial portions
of the dominant overstory trees (Zobel 1969; Williams 1998; Welch et
al. 2000). The dramatic reduction in burning since the advent of
effective fire suppression has resulted in deep litter accumulation
and has permitted invasion of pine stands by more shade-tolerant
(and less fire-resistant) hardwood trees and shrubs (Williams 1998;
Harrod et al. 2000; Welch et al. 2000).
Deterioration
of xerophytic Appalachian pine and mixed pine-oak stands has
prompted concern about their continued survival. Table Mountain
pine, a major component of many of these forests, is endemic to the
Central and Southern Appalachian Mountains. The species is
relatively rare, narrowly distributed on xeric slopes and ridgetops,
and has a relatively small geographic range (sensu Rabinowitz
1981). Table Mountain pine and the associated pitch pine (Pinus
rigida Mill.) will largely disappear from Appalachian landscapes
in the continued absence of burning, as succession proceeds to
hardwood dominance (Williams and Johnson 1990; Williams 1998). The
loss of these fire-dependent pine stands has other negative
consequences, in addition to decline of an endemic species. These
impacts include reduction in cover and richness of herbaceous
species (Harrod et al. 2000), loss of pine warbler habitat, decrease
in snags used by various woodpecker species and cavity nesters, and
diminishment of landscape and habitat diversity.
The
deterioration of yellow pine stands in the Appalachians has
stimulated interest in the use of prescribed burning to regenerate
pine and restore the processes under which these forests developed
(Williams 1998; Welch et al. 2000). Recent prescribed burning
experiments provide insights into the fire intensities needed for
pine regeneration. In fact, in 1998 JFSP funded a project by Thomas
Waldrop and others to examine pine regeneration in Southern
Appalachian Table Mountain pine-pitch pine stands subjected to
different levels of fire intensity during prescribed burns.
Published reports of such studies, which focus on pine stands in the
southern Blue Ridge Mountains near the southern range limits of
Table Mountain and pitch pines, emphasize that optimum pine
regeneration requires moderate- to high-intensity fires that cause
substantial overstory mortality (Elliott et al. 1999; Waldrop and
Brose 1999; Welch et al. 2000). However, little information exists
on the fire regimes that maintained the stands prior to effective
fire suppression, which started in the 1920s and 1930s. Analyses of
historic fire regimes are crucial both to implement and to justify
restoration of fire as an ecosystem process. The only study of fire
history in Central Appalachian pine forests was a small pilot
project that focused on two stands in southwestern Virginia
(Sutherland et al. 1995). Despite the limited scope of the study,
the USFS and other land managers use it to guide fire prescription,
because it is the only such study available. We propose a
dendroecological study of fire history and age structure in
representative Table Mountain pine-pitch pine stands across the
Central Appalachian Mountains of western Virginia and eastern West
Virginia. Fire history information, combined with age structure
data, will provide a detailed summary of the current structure of
Table Mountain pine-pitch pine populations, their relationships with
past fire, and their prognosis for survival under the current fire
regime. We will also sample current species composition of these
stands to provide a baseline for monitoring changes that result from
succession or prescribed fire. We will employ an individual-based
forest succession model to develop and test hypotheses about the
disturbance regime under which these stands developed and to predict
likely consequences of management actions, such as reintroducing
fire into existing stands. Based on the findings of our study, we
will propose prescriptions for restoring fire in pine stands across
the Central Appalachians. The George Washington and Jefferson
National Forests are willing to apply these prescriptions, and in
fact we are planning additional long-term research to monitor
successional changes in stands selected for these prescriptions.
Our
study will be an excellent complement to the work of Waldrop et al.
that JFSP funded in 1998. Both approaches are needed to provide the
information necessary for forest managers to plan prescribed burning
treatments in the Appalachian region, where relatively little
fire-related research has been conducted. Both yield insights into
the intensity of fire required for pine regeneration. However, our
work will not duplicate previous efforts, as we will focus on
historic fire regimes (including frequency of surface fires,
frequency of stand-initiating fires, fire seasonality, fire-climate
relationships, and spatial variations in past fire regimes) as well
as on long-term successional dynamics (past, present, and future).
Such information can be gained only from the types of
dendroecological and modeling approaches that we propose, and is
precisely the kind of data needed to develop and justify long-term
strategies for fuels treatments and for the restoration of
fire-maintained ecosystems (Welch 1999).
Our
proposal is also related to a dendroecological study funded by JFSP
in 2001 and currently being conducted by Henri Grissino-Mayer,
Michael Armbrister, and Michael Jenkins. The Grissino-Mayer et al.
project is a relatively small, single-year study of age structure in
five Table Mountain pine stands in Great Smoky Mountains National
Park (GSMNP), which is located in the Southern Blue Ridge Mountains.
The GSMNP research is an initial exploration of relationships of
pine stand structure to past fire and other disturbances, especially
periodic insect outbreaks. Grissino-Mayer et al. have sampled
approximately fifteen fire-scarred trees to look for relationships
between pine recruitment and fire in the stands of interest, but
GSMNP restrictions against chain saw use preclude collection of more
samples. The study is not intended to provide management guidelines
for the larger Southern and Central Appalachian region. It would be
inappropriate to extrapolate GSMNP fire regimes to the Central
Appalachians, where geology, topography, vegetation, and climate
differ in ways that probably influence fire frequency and behavior.
For example, GSMNP has some of the wettest climatic conditions in
the eastern U.S. (mean annual precipitation 57-80 inches, or
1450-2030 mm), and the Central Appalachians have some of the driest
(mean annual precipitation 33-45 inches, or 850-1140 mm)
(Terwilliger 1991; NCDC 2001). Studies of fire regimes in other
regions reveal that such regional climatic gradients influence fire
frequency and seasonality (e.g., Heyerdahl et al. 2001).
We
will conduct our study on the George Washington and Jefferson
National Forests and on Shenandoah National Park, where we will be
permitted to use chain saws. We will be able to sample fire-scarred
trees from numerous study sites distributed over a broad area. Our
study will provide both local- and regional-level results from which
we will develop management recommendations appropriate for specific
federal, state, and private land management units (e.g., individual
ranger districts).
Our
research addresses Task 3 of JFSP RFP 2001-3 and will yield new
insights about effects of fire on endemic flora, site-specific fire
history information, and seasonality of fire and fire effects. The
work will help fill local knowledge gaps significant to fire
management plan development and implementation in the George
Washington and Jefferson National Forests, Shenandoah National Park,
and other federal, state, and private resource management agencies.
We expect that our results will be useful to Cherokee National
Forest, Pisgah National Forest, Monongahela National Forest, Blue
Ridge Parkway, Cumberland Gap National Historical Park, New River
Gorge National River, The Nature Conservancy, and state wildlife
management areas, natural areas, parks, and forests. We have secured
the endorsement and support of the George Washington and Jefferson
National Forests, Shenandoah National Park, and other major land
management agencies in the region (see enclosed letters).
Project
Objectives
We
have three primary objectives:
(1)
To identify and characterize fire regimes (including fire frequency,
seasonality, severity, spatial extent, and climatic relationships)
in selected yellow pine stands. We seek to build the longest
possible record of fire in order to determine the fire regime under
which the stands have developed. We are interested in temporal
changes as well as spatial variations in fire regimes.
(2)
To evaluate the current age structure of the stands in order to
assess the possible historic role of fires that we date in
initiating establishment of pine cohorts.
(3)
To combine this information, along with current species composition
data and individual-based forest modeling, to understand current
successional status of the stands and possible outcomes of future
management scenarios.
Addressing
these objectives will provide ecological information crucial for
successful management of these forests, including the use of
prescribed fire.
Background
Relatively
little work has been conducted on fire regimes or the role of fire
in Appalachian forests. Lightning-set fires presently occur in the
Appalachians, but they recur too infrequently to have major
influences over most of the landscape. In the George Washington
National Forest, lightning caused 14% of fires that have occurred
since 1915 (S. Croy, unpublished data). Lightning-set fires were
probably uncommon in presettlement times as well (Abrams 1992;
Delcourt and Delcourt 1998; Welch 1999). However, historical
accounts and analyses of fossil pollen and charcoal suggest that
presettlement human-set fires burned frequently and had important
consequences for vegetation in the Appalachians. Annual burning by
Native Americans maintained a vast prairie in the Shenandoah Valley
of Virginia, and such openings were probably common along many of
the major river valleys (Van Lear and Waldrop 1989; Delcourt and
Delcourt 1998). Fires also spread into the surrounding mountains,
maintaining open forests of oak, chestnut (Castanea dentata), and
pine (Van Lear and Waldrop 1989; Delcourt and Delcourt 1998). In
more remote mountainous sections, escaped campfires probably spread
into the forest as Native Americans traveled through these areas
(Van Lear and Waldrop 1989), and lightning-set fires may also have
promoted pine dominance in some locations (Williams 1998). European
colonists adopted fire practices similar to those of Native
Americans (Pyne et al. 1996). Ayres and Ashe (1905) surveyed forests
of the southern Blue Ridge in 1900 and 1901 and found that light
surface fires were frequent over 80% of the region. More severe
burning followed large-scale industrial logging in the late 1800s
and early 1900s, leading to expansion of fire-adapted vegetation,
such as Table Mountain pine-pitch pine forests (Williams 1998).
Work
of Zobel (1969) and Welch (1999) in xeric, pine-dominated sites
throughout the Appalachians illustrate the ubiquity of fire in these
stands. Zobel (1969) sampled forest vegetation in Table Mountain
pine stands and found that signs of fire, including soil charcoal,
charred bark and logs, and fire-scarred trees, were almost
universally present throughout the range of the species. Welch
(1999) collected soil cores from yellow pine stands on National
Forest lands throughout the southern Appalachians. Her work revealed
the presence of macroscopic soil charcoal in every soil core,
including cores from two sites in which no recorded fires have
occurred since federal land acquisition.
Although
these studies demonstrate the past occurrence of fire in Appalachian
pine stands, they do not reveal the frequency, seasonality, size, or
intensity of those fires. A dendroecological approach is needed for
a detailed investigation of historic fire regimes under which the
stands developed (Welch 1999). Harmon (1982) used dendroecological
techniques to date the occurrence of fires that had scarred pines in
the western portion of Great Smoky Mountains National Park. His work
revealed a Mean Fire Interval (MFI) of 12.7 years between 1856 and
1940. MFI appeared to vary topographically, with highest frequency
on south-facing upper slopes and lowest frequency on north-facing
lower slopes.
During
the Fourth Annual Dendroecological Fieldweek held in June 1993,
Sutherland et al. (1995) conducted a pilot project on the fire
history and age structure of Table Mountain pine stands on Brush
Mountain, Virginia, in the Jefferson National Forest. This
preliminary study serves as the basis for the work we propose. This
study, combined with the work of Harmon (1982), described above,
demonstrated that dendrochronological analyses of fire-scarred pines
can be used to establish local records of fire in the eastern U.S.,
where such studies are virtually non-existent. Results of the Brush
Mountain project suggested that prior to the mid-1900s, fires
occurred approximately once per decade, usually during drought
years. The work also suggested a bimodal age distribution for the
stands, which is similar to results of another dendroecological
study of age structure in Table Mountain pine stands on Brush
Mountain (Williams and Johnson 1990). The two major recruitment
events appear to be linked to two major fires at the site. The fire
regime characteristic of Table Mountain pine stands on Brush
Mountain is apparently one of frequent surface fires that kill
understory hardwoods and expose mineral soil, punctuated
occasionally by more severe burns that kill a substantial portion of
the canopy trees and thereby permit major pine recruitment.
Additional studies on the ecology of Appalachian yellow pine stands
(e.g., Welch et al. 2000) also suggest their maintenance
requires frequent surface fires and occasional stand-initiating
fires.
Other
major disturbance events common in the Appalachian uplands (insect
outbreaks, ice storms, windstorms, and landslides) do not promote
pine regeneration, except when fire is also a component of the
disturbance regime. In the Appalachians, the primary canopy
disturbances affecting pine stands are southern pine beetle
("SPB," Dendroctonus frontalis) outbreaks and ice
storms (Williams 1998). Although such events create large canopy
openings that increase light availability in the understory, they do
not remove the hardwood/shrub understory that competes with pine
seedlings, nor do they reduce the thick litter layer that has
accumulated in the absence of fire. Further, they cause more damage
to pines than to the competing hardwoods and typically accelerate
succession to hardwood dominance (Williams 1998; Lafon et al. 1999).
Fire suppression actually may increase the severity of SPB outbreaks
by permitting development of dense, senescent stands subject to SPB
outbreak. Prior to fire suppression, frequent burning maintained
open stands in which SPB attack was probably restricted primarily to
scattered trees that were stressed (Schowalter et al. 1981; Harrod
et al. 2000). Currently, a major SPB outbreak is affecting the
entire Southern and Central Appalachian region, where drought
conditions since 1998 have caused increased moisture stress among
the crowded, senescent pines. In addition to accelerating the
conversion of thousands of acres of yellow pine to hardwood
dominance, this SPB outbreak increases the potential for
uncharacteristically severe wildfire that may be difficult to
control.
Materials
and Methods
Study Areas
Our
study area includes parts of three physiographic provinces: (1) the
Blue Ridge mountains along the eastern edge of the Appalachians, (2)
the parallel mountains and valleys of the Ridge and Valley province
in the core of the Appalachian Mountain region, and (3) the eastern
edge of the dissected Appalachian Plateaus province. We will conduct
most of the work on the George Washington and Jefferson National
Forests, which comprise approximately 1.8 million acres (728,000 ha)
of land. About 90% of this acreage is in western Virginia, and
nearly all the remainder is in eastern West Virginia. A small
portion is in eastern Kentucky. We will also sample stands in
Shenandoah National Park, which encompasses about 200,000 acres
(81,000 ha) of land in the Blue Ridge province. The climate of
western Virginia and eastern West Virginia is humid, but severe
droughts occur, typically at intervals of one or two decades (NCDC
2001). Strong precipitation gradients exist between the relatively
dry interior valleys (annual precipitation 33 - 37 inches, or 850 -
950 mm) and the Blue Ridge and the Plateaus (over 50 inches, or 1270
mm) (Terwilliger 1991; NCDC 2000) due to orographic effects on
precipitation. In addition, topographic moisture gradients resulting
from effects of hillslope hydrology and aspect create pronounced
vegetation patterns. Oak forests are the predominant vegetation type
in the region (SAMAB 1996), and the yellow pine forests that are the
focus of the proposed study are mostly restricted to xeric sites,
such as ridgetops and south- to southwest-facing slopes (Whittaker
1956; Zobel 1969; Stephenson and Mills 1999). Some of the pine
stands form large patches over the dry slopes of a mountain.
However, most are smaller stands within a hardwood matrix. The
geographic range of Table Mountain pine is centered on western
Virginia, and the species is more abundant in Virginia than any
other state (Della-Bianca 1990). Virginia and West Virginia are
located in the southern half of the range of pitch pine (Little and
Garrett 1990). These pine species occur over a wide range of
elevations in the region (Della-Bianca 1990; Little and Garrett
1990) and are especially common in middle elevations.
Effective
fire suppression in Virginia began with establishment of the
Virginia Department of Forestry and an expansion of National Forests
in the 1930s. Fire suppression continues to be a major component of
forest management in Virginia and on federal lands in the region
(Pyne 1982; Sarvis 1993a, 1993b; Williams 1998; USFS 2001). In
recent years, however, forest managers have become interested in the
use of prescribed burning to benefit oak and pine species and to
reduce hazardous fuel accumulations (Sarvis 1993b; USFS 2001). US
Forest Service personnel typically treat 5,000 to 12,000 acres (2025
to 4860 ha) of the George Washington and Jefferson National Forests
annually with prescribed fire. Target acreage for prescribed burning
on these national forests is 20,000 to 25,000 acres (8100 to 10,125
ha) per year. The study by Sutherland et al. (1995) at Brush
Mountain is currently the only dendrochronological study of fire
history available to guide fire management in the Central
Appalachians. An ongoing study of sediment charcoal in ponds and
bogs throughout western Virginia and eastern West Virginia (James
Clark and Jason Lynch, Duke University) will provide a broad view of
temporal trends in charcoal production over the last millennium.
However, more dendroecological work is needed for precise
information on past fire regimes, changes in fire regimes, spatial
variations in fire frequency, and the resultant age structure of
forest stands.
Our
specific study sites will be clustered in several groups covering
the major drainage basins of the study area. Clustering of sites
will permit us to assess the extent of individual fires in an area
and to provide results relevant to local fire management plan
development within individual ranger districts. Distributing these
clusters throughout western Virginia and eastern West Virginia will
provide insights about region-level spatial patterns in fire regimes
and will permit the development of broader generalizations about
fire occurrence in relation to land use history and climate. The
expertise of federal cooperators Steve Croy and Doug Raeburn will be
employed for locating old stands that record a long history of fire.
We will attempt to construct a fire chronology that extends to
presettlement times.
Methods
To
evaluate the pattern of fire on the landscape, we will employ a
systematic sampling approach (sensu Heyerdahl et al. 2001).
Plots will be laid out on a grid on each drainage, and on those
grids we will collect complete cross-sections from dead pines with
multiple fire scars, using a chain saw, and will cut partial
cross-sections from fire-scarred living trees (Arno and Sneck 1977;
Dieterich 1983; Baisan and Swetnam 1990; Sutherland et al. 1995;
Heyerdahl et al. 2001). To the extent possible, we will focus our
sampling on downed or standing dead trees. Oak trees also reveal
fire-caused injury (Smith and Sutherland 1999). Hence, we propose to
sample 1 - 2 oak trees per plot of sufficient age to have overlapped
with the pine fire chronology to search for fire scars, and compare
the fire-scar record of the pines and oaks. Comparing pine and oak
fire chronologies will inform development of future research on fire
regimes in oak forests, many of which probably need periodic fire
for continued maintenance.
To
determine age structure and tree species composition in each
drainage, we will core trees of all species on each plot, in
diameter classes representing the range of tree diameters on site.
Using an increment borer, we will extract two cores from selected
individuals at the base of the stem and parallel to slope contour.
Age of seedlings and saplings will be determined by counting
terminal bud scars and branch nodes, when possible. This method has
been used effectively to determine the age of Table Mountain pines
too small to core (Williams and Johnson 1990). Relevant data will be
recorded for each tree from which a cross-section or core is
obtained. We will collect Global Positioning System (GPS) points for
mapping study sites and analyzing spatial patterns of fire.
Cross-sections
will be reassembled and, if necessary, glued to plyboard. Increment
cores will be glued to wooden core mounts. We will sand all surfaces
using progressively finer sandpaper (40 grit through 400 grit) to
create a surface on which cellular structure of the wood is readily
visible under 20-30X magnification. Tree-ring patterns from all
cross-sections and increment cores will be crossdated by creating
skeleton plots for each sample, thereby assigning each tree ring its
exact year of formation (Stokes and Smiley 1968). We will create a
composite skeleton plot, or master chronology, for each stand
cluster (Stokes and Smiley 1968). The master chronology will be used
to crossdate each sample. If we cannot conclusively crossdate
samples graphically, we will measure ring widths and enter the
measured series into program COFECHA to match the sample to the
master chronology statistically (Holmes 1986).
Fire
dates will be recorded and archived using FHX2 software
(Grissino-Mayer 1995, 2001). In addition, the seasonality of each
fire will be determined and recorded by noting the approximate
position of the fire scar within the annual ring (Baisan and Swetnam
1990): (1) scars in the early earlywood portion of the annual ring,
(2) scars in the middle earlywood portion, (3) scars in the late
earlywood, (4) scars in the latewood, (5) scars in the dormant
position (between the latewood of one ring and the earlywood of the
next), and (6) scars whose position cannot be determined accurately.
FHX2 software will be used to develop master fire charts (Dieterich
1980) depicting the temporal and spatial patterns of past fire at
each site. We will use statistical analyses to develop estimates of
the Weibull Median Fire Interval, Weibull Modal Fire Interval, Upper
and Lower Exceedance Intervals, and Maximum Hazard Interval
(Grissino-Mayer 1999). We will also use the software to conduct
Superposed Epoch Analysis (SEA) (Swetnam 1993; Veblen et al. 1999;
Grissino-Mayer 2001) to assess the occurrence of fires in relation
to drought. Drought data (Palmer Drought Severity Index) for the
period 1895 - present will be obtained from the National Climatic
Data Center website at http://www.ncdc.noaa.gov/. For conducting SEA
prior to 1895, we plan to use long regional tree-ring-based drought
reconstructions developed by David Stahle and collaborators for the
southeastern U.S., including Virginia (Stahle and Cleaveland 1996;
Stahle et al. 1998). All statistical descriptors will help model the
fire regime under which the pine stands developed.
To
determine the age structure of the yellow pine stands, ages of trees
will be used to create frequency histograms that depict the age
classes (Williams and Johnson 1990; Sutherland et al. 1995).
Analysis of age structure, combined with fire history data, will
yield insights about the possible role of severe fires in initiating
pulses of pine regeneration. Along with stand composition data, age
structure data will permit inferences about the successional
trajectory of pine stands on current Appalachian landscapes.
Individual-based
simulation modeling of forest succession will also provide insights
about the role of fire and other disturbances in maintaining xeric
pine stands in the Appalachians. Individual-based forest models, or
gap models, simulate forest dynamics in greater detail than
landscape fire simulation models or fire behavior models, and they
also integrate climatic influences on forest processes (Miller and
Urban 1999). Both detailed stand dynamics and integration of climate
and fire are necessary to predict effects of burning on vegetation.
Applications in the Sierra Nevada and the Rocky Mountains
demonstrate the utility of gap models in fire science (Keane et al.
1996; Miller and Urban 1999, 2000). We have modified a version of
the LINKAGES gap model (Pastor and Post 1985) to include more
detailed canopy structure and mortality dynamics needed to simulate
natural disturbances such as ice storms, wind storms, and fires, as
well as harvests (Huston 1994; Lafon 2000). We have also
incorporated light-water tradeoffs in tree growth and canopy
structure (Huston 1994) into the model to improve simulation of
temporal and spatial dynamics of forest processes. The model can
produce realistic simulations both of successional changes and of
spatial patterns in forest parameters (e.g., patterns of
species composition and diversity along topographic moisture
gradients) (Huston 1994; Lafon 2000).
Results
of the proposed study will permit incorporation of an appropriate
fire regime (e.g., frequency, severity) into the model and will help
us modify the model to simulate fire effects in more detail. These
modifications will allow us to test hypotheses about the influence
of past burning on pine maintenance and the effects of fire
suppression on stand structure (Williams 1998). We will compare the
species composition and stand structure predicted by the model to
the observed composition and structure in the stands we sample. We
will also compare predicted effects of fire on tree and shrub
mortality to studies that have quantified forest response to
prescribed burns and wildfires in southern Appalachian pine stands
(e.g., Elliott et al. 1999; Waldrop and Brose 1999; Harrod et al.
2000; Welch et al. 2000). If the model is validated by these tests,
we will use alternative future management scenarios, including
prescribed burning, to develop predictions of potential changes in
the dynamics of existing forests. These predictions will inform our
recommendations for fire prescriptions in the Central Appalachians.
The model will also be applicable to simulating fire effects in
other geographic areas, with minimal model modification.
References
Abrams,
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Arno,
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Technical Report INT-42.
Ayres,
H.B. and Ashe, W.W. 1905. The Southern Appalachian Forests. USDI
Geological Survey Professional Paper 37.
Baisan,
C.H. and Swetnam, T.W. 1990. Fire history on a desert mountain
range: Rincon Mountain Wilderness, Arizona, U.S.A. Canadian
Journal of Forest Research 20:1559-1569.
Delcourt,
P.A. and Delcourt, H.R. 1998. The influence of prehistoric human-set
fires on oak-chestnut forests in the southern Appalachians. Castanea
63:337-345.
Della-Bianca,
L. 1990. Pinus pungens Lamb.: Table Mountain pine. Pages
425-432 in Burns, R.M. and Honkala, R.M., tech. coords. Silvics of
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Project
Duration
The
project will require three years for completion. If fieldwork
commences in summer 2003, analyses should be completed by 31 May
2006.
Budget
| Line
Item |
Year
1 |
Year
2 |
Year
3
|
| A.
Staff (PI summer salaries, etc.) |
|
|
|
| Texas
A&M |
|
|
|
|
Lafon |
7217 |
7434 |
5105 |
|
Fringe |
1902 |
1935 |
1313 |
| University
of Tennessee |
|
|
|
|
Grissino-Mayer |
8036 |
8277 |
5683 |
|
Fringe |
2250 |
2318 |
1591 |
| B.
Graduate Student Salaries |
|
|
|
| Texas
A&M (one Graduate Student)
|
|
|
|
|
12
months |
15000 |
15000 |
15000 |
|
Fringe |
6278 |
6278 |
6278 |
| University
of Tennessee (one Graduate Student) |
|
|
|
|
12
months |
16210 |
16210 |
16210 |
| C.
Undergraduate Student Wages |
|
|
|
| Texas
A&M (one undergraduate) |
|
|
|
|
Academic
year |
2560 |
2560 |
0 |
|
Summer |
2400 |
2400 |
0 |
|
Fringe |
409 |
409 |
0 |
| University
of Tennessee (one undergraduate) |
|
|
|
|
Academic
year |
2960 |
2960 |
0 |
|
Summer |
2080 |
2080 |
0 |
| D.
Technicians |
|
|
|
|
USFS
Rocky Mtn. Res. Stn. |
7000 |
7000 |
0 |
| E.
"Capitalized" Equipment |
0 |
0 |
0 |
| F.
Domestic Travel |
|
|
|
| Texas
A&M |
|
|
|
|
Airfare |
1500 |
1500 |
0 |
|
Car
rental |
1050 |
1050 |
0 |
|
Per
diem |
2100 |
2100 |
0 |
|
Lodging |
1560 |
1560 |
0 |
|
Required
PI workshop |
1000 |
1000 |
1000 |
| University
of Tennessee |
|
|
|
|
Car
rental |
1050 |
1050 |
0 |
|
Per
diem |
2100 |
2100 |
0 |
|
Lodging |
1560 |
1560 |
0 |
|
Required
PI workshop |
1000 |
1000 |
1000 |
| USFS
Rocky Mtn. Res. Stn. |
|
|
|
|
Airfare |
1000 |
500 |
0 |
|
Per
diem and lodging |
1500 |
750 |
0 |
|
Required
PI workshop |
1500 |
1500 |
1500 |
| USFS
GW & Jeff. Natl. Forests |
|
|
|
|
Travel
by Croy |
1500 |
1500 |
250
|
| NPS
Shenandoah National Park |
|
|
|
|
Travel
by Raeburn |
1000 |
1000 |
250 |
|
Required
PI workshop |
1000 |
0 |
0 |
| G.
Other Direct Costs
|
|
|
|
| Texas
A&M |
|
|
|
|
Miscellaneous
field and shop supplies |
120 |
120 |
0 |
| University
of Tennessee |
|
|
|
|
Miscellaneous
field and shop supplies |
120 |
120 |
0 |
| USFS
Rocky Mtn. Res. Stn. |
|
|
|
|
Miscellaneous
field and shop supplies |
120 |
120 |
0 |
| USFS
GW & Jeff. Natl. Forests |
|
|
|
|
One
Garmin GPS unit |
200 |
0 |
0 |
|
Film
and image processing |
100 |
100 |
0 |
|
Miscellaneous
field and shop supplies |
120 |
120 |
0 |
| NPS
Shenandoah National Park |
|
|
|
|
Film
and image processing |
100 |
100 |
0 |
|
|
|
|
| H.
Total Direct Costs
|
|
|
|
| Texas
A&M |
43096 |
43346 |
28696 |
| University
of Tennessee |
37366 |
37675 |
24484 |
| Rocky
Mtn. Res. Stn. |
11120 |
9870 |
1500 |
| GW-Jeff.
Natl. Forests |
1920 |
1720 |
250 |
| Shenandoah
National Park |
2100 |
1100 |
250 |
| Total |
95602 |
93711 |
55180
|
|
|
|
|
| I.
Indirect Costs
|
|
|
|
| Texas
A&M (15% Direct Costs) |
6464 |
6502 |
4304
|
| University
of Tennessee (15% Direct Costs) |
5605 |
5651 |
3673 |
| Rocky
Mtn. Res. Stn. (15% Direct Costs) |
1668 |
1481 |
225 |
| GW
& Jeff. Natl. Forests (15% Direct Costs) |
288 |
258 |
38 |
| Shenandoah
National Park |
0 |
0 |
0 |
| Total |
14025 |
13892 |
8240
|
|
|
|
|
| J.
In-Kind Contributions
|
|
|
|
| Texas
A&M |
13145 |
13220 |
8753 |
| University
of Tennessee |
11210 |
11303 |
7345 |
| USFS
Rocky Mtn. Res. Stn. (Sutherland salary) |
10000 |
10000 |
10000 |
| USFS
GW & Jeff. Natl. Forests
|
|
|
|
|
Croy
salary |
5760 |
5760 |
5760 |
|
Travel
by Croy |
600 |
600 |
600 |
|
Materials
and supplies used by Croy |
450 |
450 |
450 |
|
Housing |
120 |
120 |
0 |
| NPS
Shenandoah National Park |
|
|
|
|
Raeburn
salary |
4000 |
4000 |
4000 |
|
Staff
salary |
1100 |
1100 |
1100 |
|
Travel
by Raeburn |
500 |
500 |
500 |
|
Supplies |
250 |
250 |
250 |
|
Housing |
|