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Understory light predicts stump sprout growth in mixed multiaged stands in north coastal California

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Abstract

Regeneration of commercial species is central to long-term success of multiaged management for wood production. We examined relationships between understory light, varying overstory tree retention, and growth of coast redwood (Sequoia sempervirens; commercial species) and tanoak (Notholithocarpus densiflorus) stump sprouts initiated by group selection and single-tree selection harvesting in 80–100 year old mixed stands at four sites. Treatments included a complete harvest in 1-ha group selection openings, low-density dispersed retention, and either aggregated or dispersed high-density retention. Post-harvest stand density index and basal area were useful predictors of understory light. Mean and maximum understory light did not differ significantly between treatments with the same density where residual trees were retained in aggregated versus dispersed spatial patterns. However, the dispersed retention had lower minimum light levels when compared to the aggregated retention treatment. Aspect appeared to influence understory light more in dispersed treatments. At all light levels, the dominant sprout within clumps of redwood stump sprouts generally grew faster than dominant tanoak sprouts within tanoak sprout clumps. Differences in sprout height growth between aggregated and dispersed treatments were minimal. Stump size had a significant effect on redwood stump sprout height growth, with sprouts on the largest stumps growing approximately twice as quickly as sprouts on the smallest stumps. In the low density dispersed treatment, redwood sprouts outperformed tanoak sprouts by the greatest margin. Regeneration of redwood and tanoak was most rapid within group selection openings.

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References

  • Adamec Z, Kadavý J, Fedorová B, Knott R, Kneifl M, Drápela K (2017) Development of sessile oak and European hornbeam sprouts after thinning. Forests 8:308

    Article  Google Scholar 

  • Ahrens GR, Newton M (2008) Root dynamics in sprouting tanoak forests of southwestern Oregon. Can J For Res 38:1855–1866

    Article  Google Scholar 

  • Baker FS (1949) A revised tolerance table. J For 47(3):179–181

    Google Scholar 

  • Baldocchi D, Collineau S (1994) The physical nature of solar radiation in heterogeneous canopies: spatial and temporal attributes. In: Caldwell MM, Pearcy RW (eds) Exploitation of environmental heterogeneity by plants, Academic Press. pp 21–71, 429

  • Barrett MM (1988) A model of third growth coastal redwood sprout establishment and growth under various levels of overstory removal. MS thesis, Humboldt State University

  • Battaglia MA, Mou P, Palik B, Mitchell RJ (2002) The effect of spatially variable overstory on the understory light environment of an open-canopied longleaf pine forest. Can J For Res 32(11):1984–1991

    Article  Google Scholar 

  • Bawcom RH, Hubbel RJ, Burns DM (1961) Seasonal diameter growth in trees on Jackson State Forest. Calif Div For State For Note 6:1–5

    Google Scholar 

  • Berrill J-P, O’Hara KL (2007) Patterns of leaf area and growing space efficiency in young even-aged and multiaged coast redwood stands. Can J For Res 37(3):617–626

    Article  Google Scholar 

  • Berrill J-P, O’Hara KL (2009) Simulating multiaged coast redwood stand development: interactions between regeneration, structure, and productivity. West J Appl For 24(1):24–32

    Google Scholar 

  • Berrill J-P, O’Hara KL (2014) Estimating site productivity in irregular stand structures by indexing the basal area or volume increment of the dominant species. Can J For Res 44(1):92–100

    Article  Google Scholar 

  • Berrill J-P, O’Hara KL (2016) How do biophysical factors contribute to height and basal area development in a mixed multiaged coast redwood stand? J For 89:170–181

    Google Scholar 

  • Berrill J-P, O’Hara KL, Headley S (2017) Predicting redwood productivity using biophysical data, spatial statistics and site quality indices. In: Standiford RB, Valachovic Y (tech cords) (eds) Proceedings of coast redwood science symposium—2016: past successes and future direction. USDA Forest Service Gen. Tech. Rep. PSW-GTR-258, Albany, CA, pp 39–46, 446

  • Boe KN (1975). Natural seedlings and sprouts after regeneration cuttings in old-growth redwood. USDA Forest Service Research Paper, Pacific Southwest Forest and Range Experiment Station PSW-111, p 17

  • Bond WJ, Midgley JJ (2001) Ecology of sprouting in woody plants: the persistence niche. Trends Ecol Evol 16(1):45–51

    Article  CAS  Google Scholar 

  • Brown MJ, Parker GG (1994) Canopy light transmittance in a chronosequence of mixed-species deciduous forests. Can J For Res 24(8):1694–1703

    Article  Google Scholar 

  • Clark DB, Clark DA, Rich PM, Weiss S, Oberbauer SF (1996) Landscape-scale evaluation of understory light and canopy structures: methods and application in a neotropical lowland rain forest. Can J For Res 26(5):747–757

    Article  Google Scholar 

  • Devine WD, Harrington TB (2008) Belowground competition influences growth of natural regeneration in thinned Douglas-fir stands. Can J For Res 38(12):3085–3097

    Article  Google Scholar 

  • Drever CR, Lertzman KP (2001) Light-growth responses of coastal Douglas-fir and western redcedar saplings under different regimes of soil moisture and nutrients. Can J For Res 31(12):2124–2133

    Article  Google Scholar 

  • Faraway J (2016) Extending the linear model with R: generalized linear, mixed effects and nonparametric regression models, vol 124. CRC Press, Boca Raton, p 331

    Book  Google Scholar 

  • Forrester JA, Lorimer CG, Dyer JH, Gower ST, Mladenoff DJ (2014) Response of tree regeneration to experimental gap creation and deer herbivory in north temperate forests. For Ecol Manage 329:137–147

    Article  Google Scholar 

  • Gratzer G, Darabant A, Chhetri PB, Rai PB, Eckmüllner O (2004) Interspecific variation in the response of growth, crown morphology, and survivorship to light of six tree species in the conifer belt of the Bhutan Himalayas. Can J For Res 34(5):1093–1107

    Article  Google Scholar 

  • Harrington TB, Tappeiner JC, Walstad JD (1984) Predicting leaf area and biomass of 1- to 6-year-old tanoak (Lithocarpus densiflorus) and Pacific madrone (Arbutus menziesii) sprout clumps in southwestern Oregon. Can J For Res 14:209–213

    Article  Google Scholar 

  • Harrington TB, Tappeiner JC, Warbington R (1992) Predicting crown sizes and diameter distributions of tanoak, Pacific madrone, and giant chinkapin sprout clumps. West J Appl For 7(4):103–108

    Google Scholar 

  • Harrington TB, Dagley CM, Edwards MB (2003) Above- and belowground competition from longleaf pine plantations limits performance of reintroduced herbaceous species. For Sci 49(5):681–695

    Google Scholar 

  • Isaaks EH, Srivastava RM (1989) Applied geostatistics. Oxford University Press Inc., New York, p 561

    Google Scholar 

  • Keyser TL, Zarnoch SJ (2014) Stump sprout dynamics in response to reductions in stand density for nine upland hardwood species in the southern Appalachian Mountains. For Ecol Manage 319:29–35

    Article  Google Scholar 

  • Lieffers VJ, Messier C, Stadt KJ, Gendron F, Comeau PG (1999) Predicting and managing light in the understory of boreal forests. Can J For Res 29(6):796–811

    Article  Google Scholar 

  • Lindquist JL (1979) Sprout regeneration of young-growth redwood: sampling methods compared, vol 337. US Dept. of Agriculture, Forest Service, Pacific Southwest Forest and Range Experiment Station, Albany

    Google Scholar 

  • Lindquist JL, Palley MN (1967) Prediction of stand growth of young redwood. Bull Calif Agric Exp Stn 831: 64

    Google Scholar 

  • McGuire JP, Mitchell RJ, Moser EB, Pecot SD, Gjerstad DH, Hedman CW (2001) Gaps in a gappy forest: plant resources, longleaf pine regeneration, and understory response to tree removal in longleaf pine savannas. Can J For Res 31(5):765–778

    Article  Google Scholar 

  • Nicotra AB, Chazdon RL, Iriarte SV (1999) Spatial heterogeneity of light and woody seedling regeneration in tropical wet forests. Ecology 80(6):1908–1926

    Article  Google Scholar 

  • O’Hara KL (2014) Multiaged silviculture: managing for complex forest stand structures. Oxford University Press, New York, p 213

    Google Scholar 

  • O’Hara KL, Berrill J-P (2010) Dynamics of coast redwood sprout clump development in variable light environments. J For Res 15(2):131–139

    Article  Google Scholar 

  • O’Hara KL, Stancioiu PT, Spencer MA (2007) Understory stump sprout development under variable canopy density and leaf area in coast redwood. For Ecol Manage 244(1):76–85

    Article  Google Scholar 

  • O’Hara KL, Cox LE, Nikolaeva S, Bauer JJ, Hedges R (2017) Regeneration dynamics of coast redwood, a sprouting conifer species: a review with implications for management and restoration. Forests 8:144

    Article  Google Scholar 

  • Oliver CD, Larson BC (1996) Forest stand dynamics. Wiley, New York, p 520

    Google Scholar 

  • Olson DF, Roy DF Jr, Walters GA (1990) Sequoia sempervirens (D. Don) Endl. Redwood. In: Silvics of North America, vol 1. USDA Forest Service, pp 541–551

  • Palik BJ, Mitchell RJ, Houseal G, Pederson N (1997) Effects of canopy structure on resource availability and seedling responses in a longleaf pine ecosystem. Can J For Res 27(9):1458–1464

    Article  Google Scholar 

  • Palik BJ, Mitchell RJ, Hiers JK (2002) Modeling silviculture after natural disturbance to sustain biodiversity in the longleaf pine (Pinus palustris) ecosystem: balancing complexity and implementation. For Ecol Manag 155(1):347–356

    Article  Google Scholar 

  • Reineke LH (1933) Perfecting a stand density index for even-aged forests. J Agric Res 46:627–638

    Google Scholar 

  • Rong L, Wenhui Z, Jingfeng H, Jianyun Z (2013) Survival and development of Liaodong oak stump sprouts in the Huanglong Mountains of China six years after three partial harvests. New Forest 44:1–12

    Article  Google Scholar 

  • Rydberg D (2000) Initial sprouting, growth and mortality of European aspen and birch after selective coppicing in central Sweden. For Ecol Manag 130:27–35

    Article  Google Scholar 

  • Stancioiu PT, O’Hara KL (2006) Regeneration growth in different light environments of mixed species, multiaged, mountainous forests of Romania. Eur J For Res 125(2):151–162

    Article  Google Scholar 

  • Tappeiner JC, McDonald PM, Roy DF (1990) Lithocarpus densiflorus (Hook. & Arn.) Rehd. Tanoak. In: Burns RM, Honkala BH (tech cords) (eds). In: Silvics of North America, vol 2. USDA Forest Service, pp 417–425

  • Tappeiner JC, Newton M, McDonald PM, Harrington TB (1992) Ecology of hardwoods, shrubs, and herbaceous vegetation: effects on conifer regeneration. Reforestation practices in southwestern Oregon and northern California. Forest Research Laboratory, Oregon State University, Corvallis, Oregon, pp 136–164

  • Tappeiner JC, Maguire DA, Harrington TB (2007) Silviculture and ecology of western US forests. Oregon State University Press, Corvalis, p 416

    Google Scholar 

  • Wiant HV Jr, Powers RF (1967) Sprouting of old-growth redwood. In: Proceedings of the 1966 Society of American Foresters, 1966. Society of American Foresters, Washington, pp 88–90, 232

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Acknowledgements

We thank Brian Barrett and Shawn Headley of the California Department of Forestry and Fire Protection (CAL FIRE), and Humboldt State University students Devin Eastman, Gabriel Goff, Ethan Hammett, Christopher Kirk, Forrest Kirk, Daniel Kluegel, Travis Munoz, Treelight Morgan-Menzies, Robert Muma, Brandon Namm, Karl Peterson, Aidan Stephens, Chris Valness, FOR 315 classes of spring 2013 and 2014, and FOR 432 classes of fall 2010 and 2011 for field assistance. Funding for this project was provided by the McIntire-Stennis Cooperative Research Program, the University of California (UC-CSU Collaborative Grant) and by CAL FIRE.

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Authors and Affiliations

  1. Department of Forestry and Wildland Resources, Humboldt State University, 1 Harpst Street, Arcata, CA, 95521, USA

    John-Pascal Berrill, Kurt Schneider & Christa M. Dagley

  2. Jackson Demonstration State Forest, California Department of Forestry and Fire Protection, 802 North Main Street, Fort Bragg, CA, 95437, USA

    Lynn A. Webb

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  1. John-Pascal Berrill
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  2. Kurt Schneider
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  3. Christa M. Dagley
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  4. Lynn A. Webb
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Correspondence to John-Pascal Berrill.

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Berrill, JP., Schneider, K., Dagley, C.M. et al. Understory light predicts stump sprout growth in mixed multiaged stands in north coastal California. New Forests 49, 815–828 (2018). https://doi.org/10.1007/s11056-018-9636-6

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