Three-dimensional light structure of an upland Quercus stand post-tornado disturbance

Abstract

Light is the most common limiting factor in forest plant communities, influencing species composition, stand structure, and stand productivity in closed canopy stands. Stand vertical light structure is relatively simple under a closed canopy because most light is captured by overstory trees. However, wind disturbance events create canopy openings from local to landscape scales that increase understory light intensity and vertical light structural complexity. We studied the effects of an EF-1 tornado on horizontal and vertical (i.e. three-dimensional) light structure within a Quercus stand to determine how light structure changed with increasing disturbance severity. We used a two-tiered method to collect photosynthetic photon flux density at 4.67 m and 1.37 m above the forest floor to construct three-dimensional light structure across a canopy disturbance severity gradient to see if light intensity varied with increasing tornado damage. Results indicate that increased canopy disturbance closer to the tornado track increased light penetration and light structure heterogeneity at lower forest strata. Increased light intensity correlated with increased sapling density that was more randomly distributed across the plot and had shifted light capture higher in the stand structure. Light penetration through the overstory was most strongly correlated with decreased stem density in the two most important tree species (based on relative dominance and relative density) in the stand, Quercus alba L. (r = − 0.31) and Ostrya virginiana (Mill.) K. Koch (r = − 0.27, p < 0.01), and indicated that understory light penetration was most affected by these two species. As managers are increasingly interested in patterning silvicultural entries on natural disturbances, they must understand residual stand and light structures that occur after natural disturbance events. By providing spatial light data that quantifies light structure post-disturbance, managers can use these results to improve planning required for long-term management. The study also provides comparisons with anthropogenic disturbances to the midstory that may offer useful comparisons to natural analogs for future silvicultural consideration.

Keywords

Photosynthetic photon flux density / Midstory / Blowdown / Heterogeneity

References

[1] Anderson MC (1971) In: Sestck Z, Catsky J, Jarvis PG (eds) Radiation and crop structure. Plant photosynthetic production: manual of methods. W. Junk, Netherlands, pp 412–466

[2] Braun EL. Eastern deciduous forests of North America, 1950, Philadelphia: Blakiston.

[3] Brewer JS, Bertz CA, Cannon JB, Chesser JD, Maynard EE. Do natural disturbances or the forestry practices that follow them convert forests to early-successional communities?. Ecol Appl, 2012, 22: 442-458.

[4] Canham CD, Finzi AC, Pacala SW, Burbank DH. Causes and consequences of resource heterogeneity in forests: interspecific variation in light transmission by canopy trees. Can J For Res, 1994, 24: 337-349.

[5] Cannon JB, Hepinstall-Cymerman J, Godfrey CM, Peterson CJ. Landscape-scale characteristics of forest tornado damage in mountainous terrain. Landsc Ecol, 2016, 31: 2097-2114.

[6] Chianucci F, Cutini A. Estimation of canopy properties in deciduous forests with digital hemispherical and cover photography. Agric For Meteorol, 2013, 168: 130-139.

[7] Cowden MM, Hart JL, Schweitzer CJ, Dey DC. Effects of intermediate-scale wind disturbance on composition, structure, and succession in Quercus stands: implications for natural disturbance-based silviculture. For Ecol Manag, 2014, 330: 240-251.

[8] Cox LE, Hart JL, Dey DC, Schweitzer CJ. Composition, structure, and intra-stand spatial patterns along a disturbance severity gradient in a Quercus stand. For Ecol Manag, 2016, 381: 305-317.

[9] Davies GM, Gray A. Don’t let spurious accusations of pseudoreplication limit our ability to learn from natural experiments (and other messy kinds of ecological monitoring). Ecol Evo, 2015, 5: 5295-5304.

[10] Evans AM, Camp AE, Tyrrell ML, Riely CC. Biotic and abiotic influences on wind disturbance in forests of NW Pennsylvania, USA. For Ecol Manag, 2007, 245: 44-53.

[11] Fenneman NM. Physiography of eastern United States, 1938, New York: McGraw-Hill Book Company 714

[12] Fotis AT, Curtis PS. Effects of structural complexity on within-canopy light environments and leaf traits in a northern mixed deciduous forest. Tree Physiol, 2017, 37: 1426-1435.

[13] Franklin JF, Spies TA, Van Pelt R, Carey AB, Thornburgh DA, Berg DR, Lindenmayer DB, Harmon ME, Keeton WS, Shaw DC, Chen J, Bible K. Disturbances and structural development of natural forest ecosystems with silvicultural implications, using Douglas-fir forests as an example. For Ecol Manag, 2002, 155: 399-423.

[14] Gottschalk KW (1987). Effects of shading on growth and development of northern red oak, black oak, black cherry, and red maple seedlings. II. Biomass partitioning and prediction. In: Proceedings of the 6th Central Hardwood Forest Conference. University of Tennessee, Knoxville, pp 99–110

[15] Grayson SF, Buckley DS, Henning JG, Schweitzer CJ, Gottschalk KW, Loftis DL. Understory light regimes following silvicultural treatments in central hardwood forests in Kentucky, USA. For Ecol Manag, 2012, 279: 66-76.

[16] Hanson JJ, Lorimer CG. Forest structure and light regimes following moderate wind storms: implications for multi-cohort management. Ecol Appl, 2007, 17: 1325-1340.

[17] Hart JL. Greenberg CH, Collins BS. Gap-scale disturbances in central hardwood forests with implications for management. Natural disturbances and historic range of variation, 2016, Berlin: Springer 33 47

[18] Jarque CM, Bera AK. Efficient tests for normality, homoscedasticity and serial independence of regression residuals. Econ Lett, 1980, 6: 255-259.

[19] Johnson PS, Shifley SR, Rogers R. The ecology and silviculture of oaks, 2009, Wallingford: CABI.

[20] Keasberry AM, Hart JL, Dey DC, Schweitzer CJ. Spatial patterns of irradiance and advanced reproduction along a canopy disturbance severity gradient in an upland hardwood stand. Forests, 2016, 7: 73.

[21] Kleinman JS, Ford SA, Hart JL. Catastrophic wind and salvage harvesting effects on woodland plants. For Ecol Manag, 2017, 403: 112-125.

[22] Lhotka JM, Loewenstein EF. Effect of midstory removal on understory light availability and the 2-year response of underplanted cherrybark oak seedlings. South J Appl For, 2009, 33: 171-177.

[23] Lin TC, Hamburg SP, Hsia YJ, Lin TT, King HB, Wang LJ, Lin KC. Influence of typhoon disturbances on the understory light regime and stand dynamics of a subtropical rain forest in northeastern Taiwan. J For Res, 2003, 8: 139-145.

[24] Lindemann J, Baker W. Attributes of blowdown patches from a severe wind event in the Southern Rocky Mountains, USA. Landsc Ecol, 2001, 16: 313-325.

[25] Messier C, Parent S, Bergeron Y. Effects of overstory and understory vegetation on the understory light environment in mixed boreal forests. J Veg Sci, 1998, 9: 511-520.

[26] Messier C, Doucet R, Ruel JC, Claveau Y, Kelly C, Lechowicz MJ. Functional ecology of advance regeneration in relation to light in boreal forests. Can J For Res, 1999, 29: 812-823.

[27] National Weather Service (2018) Storm Prediction Center WCM Page. http://www.spc.noaa.gov/wcm/. Accessed 31 Jan 2018

[28] National Weather Service (NWS) (2011) Birmingham, AL Weather Forecast Office. https://www.ncdc.noaa.gov/stormevents/eventdetails.jsp?id=309220. Accessed 07 Feb 2018

[29] Nelson JL, Groninger JW, Battaglia LL, Ruffner CM. Bottomland hardwood forest recovery following tornado disturbance and salvage logging. For Ecol Manag, 2008, 256: 388-395.

[30] O’Hara KL. Developmental patterns of residual oaks and oak and yellow-poplar regeneration after release in upland hardwood stands. South J Appl For, 1986, 10: 244-248.

[31] Oksanen L. Logic of experiments in ecology: is pseudoreplication a pseudoissue?. Oikos, 2001, 94: 27-38.

[32] Oliver CD, Larson BC. Forest stand dynamics, 1996, New York: Wiley P520

[33] Onoda Y, Saluñga JB, Akutsu K, Aiba SI, Yahara T, Anten NP. Trade-off between light interception efficiency and light use efficiency: implications for species coexistence in one-sided light competition. J Ecol, 2014, 102: 167-175.

[34] Paletto A, Tosi V. Forest canopy cover and canopy closure: comparison of assessment techniques. Eur J For Res, 2009, 128: 265-272.

[35] Peterson CJ. Damage and recovery of tree species after two different tornadoes in the same old growth forest: a comparison of infrequent wind disturbances. For Ecol Manag, 2000, 135: 237-252.

[36] Peterson CJ. Consistent influence of tree diameter and species on damage in nine eastern North America tornado blowdowns. For Ecol Manag, 2007, 250: 96-108.

[37] Peterson CJ, Rebertus AJ. Tornado damage and initial recovery in three adjacent, lowland temperate forests in Missouri. J Veg Sci, 1997, 8: 559-564.

[38] Phillips RJ, Waldrop TA. Changes in vegetation structure and composition in response to fuel reduction treatments in the South Carolina Piedmont. For Ecol Manag, 2008, 255: 3107-3116.

[39] Pickett ST, White PS. The ecology of natural disturbance and patch dynamics, 1985, Orlando: Academic Press.

[40] Pinchot CC, Schlarbaum SE, Clark SL, Saxton AM, Sharp AM, Schweitzer CJ, Hebard FV. Growth, survival, and competitive ability of chestnut (Castanea Mill.) seedlings planted across a gradient of light levels. New For, 2017, 48: 491-512.

[41] PRISM Climate Group (2017) http://www.prism.oregonstate.edu/. Accessed 07 Feb 2018

[42] Regent Instruments (2011) WinSCANOPY 2010a: for canopy analysis, 25 January 2011, Canada

[43] Regent Instruments (2014) WinSCANOPY 2014a: for canopy analysis, 18 February2014, Canada

[44] Richards JD, Hart JL. Canopy gap dynamics and development patterns in secondary Quercus stands on the Cumberland Plateau, Alabama, USA. For Ecol Manag, 2011, 262: 2229-2239.

[45] Scharenbroch BC, Nix B, Jacobs KA, Bowles ML. Two decades of low-severity prescribed fire increases soil nutrient availability in a Midwestern, USA oak (Quercus) forest. Geoderma, 2012, 183: 80-91.

[46] Schweitzer CJ, Dey DC (2015) The conundrum of creating understory light conditions conducive to promoting oak reproduction: midstory herbicide and prescribed fire treatments. In: Holley AG, Connor KF, Haywood JD (eds) Proceedings of the 17th biennial southern silvicultural research conference. e–Gen. Technical Report SRS–203. U.S. Department of Agriculture, Forest Service, Southern Research Station, Asheville, NC, p 45

[47] Smalley GW (1979) Classification and evaluation for forest sites on the southern Cumberland Plateau. USDA, Forest Service, Southern Forest Experiment Station, GTR SO-23, New Orleans, LA

[48] Szabo MW, Osborne EW, Neathery TL (1988) Geologic Map of Alabama, Geological Survey of Alabama Special Map 220, scale 1:250,000

[49] Thornthwaite CW. An approach toward rational classification of climate. Geogr Rev, 1948, 38: 55-94.

[50] USDA Soil Conservation Service (1959) Soil Survey: Lawrence County, AL. Series 1949, No. 10

[51] Walters RS, Yawney HW. Silvics Manual: Volume 2: Hardwoods, 2004, Washington: United States Department of Agriculture, Forest Service.

[52] White SD, Hart JL, Schweitzer CJ, Dey DC. Altered structural development and accelerated succession from intermediate-scale wind disturbance in Quercus stands on the Cumberland Plateau, USA. For Ecol Manag, 2015, 336: 52-64.

[53] Willms J, Bartuszevige A, Schwilk DW, Kennedy PL. The effects of thinning and burning on understory vegetation in North America: a meta-analysis. For Ecol Manag, 2017, 392: 184-194.

[54] Xi WM, Peet RK, Urban DL. Changes in forest structure, species diversity and spatial pattern following hurricane disturbance in a Piedmont North Carolina forest, USA. J Plant Ecol, 2008, 1: 43-57.

[55] Zhang L, Oswald BP, Green TH. Relationships between overstory species and community classification of the Sipsey Wilderness, Alabama. For Ecol Manag, 1999, 114: 377-383.