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Modeling Long-Term Effects of Altered Fire Regimes following
Southern Pine Beetle (Dendroctonus frontalis) Outbreaks
Weimin Xi1, John D.
Waldron2, Charles W. Lafon3, David M. Cairns3, Andrew G. Birt1, Maria D. Tchakerian1,
Robert N. Coulson1, and Kier D. Klepzig4
1Knowledge Engineering Laboratory, Texas A&M University, College Station, TX 77843
2Department of Environmental Studies, University of West Florida, Ft. Walton Beach, FL 32547
3Department of Geography, Texas A&M University, College Station, TX 77843
4USDA Forest Service Southern Research Station, 2500
Shreveport Hwy, Pineville, LA 71360
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| INTRODUCTION |
Periodic fires are an important factor shaping the
species-rich southern Appalachian forest landscape, and fire regimes
in this region have changed significantly over time. In addition to
fire, southern pine beetle (Dendroctonus frontalis, SPB) is a major
biological disturbance agent affecting pines in this region. While
prescribed fire is increasingly utilized as a means to restore
decadent pine forests, the long-term effects of fire following SPB
outbreaks are still unclear.
To investigate the synergistic effects of fire and SPB, we used
LANDIS-II, a spatially explicit landscape simulation model of forest
succession and disturbance. Specifically, we simulated changes in
the abundance of pines under SPB disturbance and two fire scenarios:
1) fire suppression, and 2) historic fire regimes. Our goal is to
understand the long-term effects of altered fire regimes in pine
forest recovery, and to provide insights into the effectiveness of
post-SPB restoration strategies.
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| STUDY AREA |
Study Area The Grandfather
Ranger District, the Pisgah National Forest of western of North
Carolina, USA. The landscape is divided into 11 ecozones, including
three pine-oak forest dominated ecozones: I) shortleaf pine-oak
forest; II) xeric pine-oak and oak forests; and III) white pine–oak
forests.

- This mountainous region consists of
diverse landtypes and high plant diversity.
- The region is predominately hardwood
forests, however, pine-oak and pine forests cover about 14.2%
of federally managed lands.
- The area experienced substantial SPB
outbreaks between 1999-2003.
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| MODELING ENVIRONMENT |
MODEL PARAMETERIZATION |
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Table 1. Characteristics of three pine-oak ecozones and the
parameters for historic vs. current fire regime. FRI is fire
return interval in yr. and size is in ha

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The landscape is represented as a
two-dimensional grid of equal-sized (30×30 m) cells (100×100
cells) . We created a simplified landscape of four existing
major forest types as a starting point for the simulations. We
parameterized 36 most dominant trees and using the double
exponential algorithm for seed dispersal.
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We used a finer scale ecosystem process model (LINKAGES) to
calculate the establishment coefficients based on the growth and
competitive ability of species during first 10-year simulations.
The Biological Disturbance Agent module was parameterized to
represent the temporal and spatial pattern of SPB outbreaks.
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Fire regimes (fire sizes, ignition probabilities, and spread
ages) for different ecozones, were parameterized based on the
literature and communications with fire experts.
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Succession in the model is
based on life history of each species, the composition of
different species within a cell, and the composition of species
in surrounding cells.
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As a base scenario, we ran
simulations with SPB as the only disturbance. This baseline was
thene compared to: 1) historic fire; 2) current fire suppression
regime.
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| SIMULATION RESULTS |

Figure 1. Changes in species abundance for four
pine species in three pine-oak ecozones over 500 years under two
fire regimes.
Our results indicate that SPB outbreaks alone (i.e., without
fire) lead to the disappearance of all pine species from the
landscape. Fire suppression promotes the increase of white pine
within the landscape, but leads to the reduction of all other
pine species. In contrast, historic fire regime favors the
natural restoration of shortleaf pine, Table Mountain pine, and
pitch pine and reduces the frequency of white pines in the
landscape. |
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| DISCUSSION |
- Our findings are consistent with the hypothesis
that SPB and fire disturbance have historically driven succession of
pitch pine and Table Mt. pine forests in a
drought-beetle-fire-growth cycle, and wildfires are an integral part
of the long disturbance regime that forms and maintains pine
woodlands.
- The simulation results under altered fire regimes
also help explain recent (ca. 50-100 years) increases in the
abundance of white pines which likely benefit from modern fire
suppression policies in the southern Appalachian region.

- The modeling projections suggest that the regime
of multiple interacting disturbances have important implications for
the successional dynamics and vegetation characteristics in yellow
pine woodlands of the southern Appalachian Mountains.
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| CONCLUSIONS & FUTURE WORK |
- Although SPB damage is largely a natural,
uncontrollable phenomenon, we have shown that historical fire and
fire suppression lead to very different forest compositions.
- Frequent fires may assist restoration of pine
forests damaged by SPB outbreaks, especially species such as
shortleaf pine, Table Mountain pine, and pitch pine, thought to be
underrepresented in the present day southern Appalachian landscape.
- Moreover, fire-based restoration efforts should
focus on the shortleaf pine-oak forest, and xeric pine-oak forest,
and oak forest ecozones.
- Our studies may help forest managers and
landowners better understand the effects of multiple disturbances on
the composition and structure of forests and the potential problems
caused by long-term fire suppression policies.
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| REFERENCES |
Delcourt, P.A. and H.R. Delcourt. 1998. The
influence of prehistoric human-set fires on oak-chestnut forests in
the Southern Appalachians. Castanea 63:337-345.
Lafon, C.W., J.D. Waldron, D. M. Cairns, M.D.
Tchakerian, R.N. Coulson, and K.D. Klepzig. 2007. Modeling the
Effects of Fire on the Long-term Dynamics and Restoration of Yellow
Pine and Oak Forests in the Southern Appalachian Mountains.
Restoration Ecology 15(3): 400-411.
Scheller, R. M., J. B. Domingo, B. R. Sturtevant,
J. S. Williams, A. Rudy, D. J. Mladenoff, and E. J. Gustafson. 2007.
Introducing LANDIS-II: design and development of a collaborative
landscape simulation model with flexible spatial and temporal
scales. Ecological Modelling 20I: 409-419.
Simon, S.A., T.K. Collins, G.L. Kauffman, W.H.
McNab and C.J. Ulrey. 2005. Ecological zones in the Southern
Appalachians: First approximation. USDA Forest Service Research
Paper SRS-41.
Waldron, J.D., C.W. Lafon, R.N. Coulson, D.M.
Cairns, M.D. Tchakerian, A.G. Birt, and K.D. Klepzig. 2007.
Simulating the Impacts of Southern Pine Beetle and Fire on Pine
Dynamics on Xeric Southern Appalachian Landscapes. Applied
Vegetation Science 10:53-64.
Xi, W., R.N. Coulson, J.D. Waldron, M.D.
Tchakerian, C.W. Lafon, D.M. Cairns, A.G. Birt and K.D. Klepzig.
2008. Landscape modeling for forest restoration planning and
assessment: Lessons from the southern Appalachian Mountains. Journal
of Forestry 106:191-197.
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