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Growth of southern pines at different stand configurations in silvopastoral practices Adrian Ares, David K. Brauer, Adrian Ares, David K. Brauer, David M. Burner and Daniel H. Pote Dale Bumpers Small Farms Research Center Agriculture Research Service Agriculture Research Service U.S. Department of Agriculture U.S. Department of Agriculture
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Tree growth in agroforestry (AF) stands Lack of reliable growth and yield data for AF practices can make economic predictions uncertain and hinder adoption Growth models for forests may not apply to AF systems because of spacing and configuration effects
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Single-rowconfiguration Double-rowconfiguration
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Some research approaches Constant initial stand density Varied: Configuration (S, D, T, Q-row) Alley width Distance between trees within rows Constant alley width Varied: Configuration Initial stand density Distance between trees within rows Comparison with stands/plots planted in forest-type arrangements
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Location of pine agroforestry studies Gulf of Mexico
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45 yr-old AF stand in Georgia
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731 trees/ha 262 trees/ha Basal area and livestock gains Drawn from Lewis et al., 1985
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Basal area and canopy cover
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Northern Florida, slash pine, 1135 trees/ha
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Central Florida, slash pine, 1135 trees/ha
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Central Louisiana, 18 yr-old stands, 1165 trees/ha 6.7-m alley15.2-m alley
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Configuration Spacing Basal area (m 2 /ha) 2002 2003 2004 Double- (1.20 x 2.40) 7.20 m 22.9 28.4 33.4 row Quadruple- (1.20 x 2.40) 16.0 m 19.1 23.3 27.5 row Western Arkansas, 11-yr-old loblolly pine stands,1541 trees/ha
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Central Arkansas, 18-yr-old loblolly pine stands,14.6-m alley width
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Comparisonsbetween loblolly pine basal area in silvopastures and adjacent forests Central Arkansas,18-yr-old Western Arkansas,11-yr-old
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Conclusions Stand basal area in silvopastures appear to equal or surpass that of forest stands Research favors single and double-row configurations in silvopastures Other aspects of silvopastures such as biomass partitioning, bole diameter distribution and wood quality deserve further examination
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Biomass partitioning
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Carbon partitioning to tree components is linked to timber production, tree function and ecosystem C stores Patterns of C partitioning extensively studied in loblolly pine in natural stands and plantations but not in AF systems AF configurations may greatly modify biomass partitioning
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2.4 m 14.6 m 2.4 m SingleDoubleQuadruple N (308 trees/ha)(568 trees/ha)(932 trees/ha) Felled trees separated into stem, branch, twigs (< 2 cm in diameter) and foliage Sixty sampled trees(3 per row x 5 rows x 2 pruning x 2 replicates) Sampling design 2.1 m
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Configuration Row Pruning DBH Height to Total Log 1 st branch height quality (cm) (m) (m) (0-4) Single Double Quadruple Yes 27.9 4.7 13.7 2.2 No 28.6 2.8 13.1 0.5 1 Yes 27.7 4.6 13.6 2.2 No 26.9 4.0 13.6 1.0 2 Yes 28.2 5.9 13.1 1.8 No 26.3 3.9 13.2 1.0 1 Yes 27.5 5.6 14.2 1.8 No 27.3 4.3 13.2 0.3 2 Yes 25.6 7.4 13.4 1.5 No 25.0 6.4 13.6 1.5 Tree characteristics in different configurations
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Configuration Stem Branch Twig Foliage Leaf Area Configuration (C) Row (R) Pruning (P) C x R C x P R x P * ns ns *** * * * ns ns ns ns ns ns ns ns ns ns ns *** *** ns ns ns ns ns DBH and growingspace not significant as covariates Effects of configuration on biomass partitioning
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12.5% 8.1% 51.3% 62.8%30.3% 23.6% Biomass in tree components
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Configuration Row Age Stocking % partitioning to yrs trees/ha Bole Branches Foliage Single- 18 308 51.5 35.8 12.7 row Double- 1 18 568 54.0 36.1 9.9 row 2 59.1 29.4 11.5 Quadruple- 1 18 932 58.2 32.3 9.5 row 2 62.5 28.9 8.6 Adjacent 19 983 79.0 18.8 2.2 forest Ku and 18 n/a 83.1 13.5 3.4 Burton (1973) 18 81.6 14.9 3.5 Biomass partitioning in Biomass partitioning in silvopastures and forests This study
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Conclusions Considerable extent of ontogenetic control in loblolly pine in AF plantations Differences up to 11% in biomass partitioning to stems and up to 7 % to branches Possible need for allometric functions for agroforestry pine stands (e.g., single, double-row configurations)
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Wood quality in AF stands ?
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Acknowledgments Earl Hardin, Tammy Horton, Jim Misner, Mike Rogers and Jim Whiley for technical assistance Roy Clardy, Teri Clason, Paul Eberhard, David Haywood, Cliff Lewis, Henry Pearson, USDA Forest Service and Winrock International for granting access to data and study sites ARS/USDA for financial support
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