Natural conifer regeneration patterns in temperate forests across the Inland Northwest, USA

Research Paper

Abstract

Key message

Natural regeneration patterns of conifer species were studied. Seedling regeneration follows patterns responding to stand structure and site condition factors along shade and drought tolerance gradients. Our findings can assist in adaptive forest management for maintaining sustainable regeneration and plant biodiversity.

Context

Seedling regeneration can vary with stand factors of overstory trees and understory non-tree vegetation and site conditions.

Aims

Natural seedling regeneration patterns of coniferous species were investigated using Forest Inventory and Analysis (FIA) data of 10 common species across the Inland Northwest, USA.

Methods

Zero-inflated negative binomial models were developed to understand the responses of natural regeneration to stand factors and site conditions.

Results

Seedling occurrence varies along shade and drought tolerance gradients responding to stand structure and site conditions. Two moderate shade-tolerant species of different drought tolerance contributed as a transition. Strong response patterns were revealed for seedling density, in which seedling density was improved with the presence of conspecific trees while limited by competition, especially from the understory vegetation layer.

Conclusion

Overstory structure and understory vegetation could improve or hinder natural regeneration of coniferous tree species given different shade tolerance and site conditions. Our findings can be effectively implemented in adaptive forest management for maintaining sustainable regeneration of specific conifers in broad temperate mixed forests.

Keywords

Natural regeneration pattern Coniferous tree species Stand structure Understory non-tree vegetation Site conditions Forest Inventory and Analysis 

Notes

Acknowledgements

The authors would like to sincerely thank FIA for sharing sampling data and Dr. John Shaw for the help in maximum stand density index calculation. The efforts of editors and anonymous reviewers are highly appreciated.

Funding

This material is based upon work that is supported by the University of Idaho, College of Natural Resources and the National Institute of Food and Agriculture, US Department of Agriculture, McIntire Stennis project under accession number 1008381.

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

References

  1. Adams DL, Mahoney RL (1991) Effects of shade and competing vegetation on growth of western redcedar regeneration. West J Appl For 6:21–22Google Scholar
  2. Al-Namazi AA, El-Bana MI, Bonser SP (2017) Competition and facilitation structure plant communities under nurse tree canopies in extremely stressful environments. Ecol Evol 7:2747–2755.  https://doi.org/10.1002/ece3.2690 CrossRefPubMedPubMedCentralGoogle Scholar
  3. Bailey RG (1995) Description of ecoregions of the United States, 2nd ed. Misc. Publ. 1391. USDA Forest Service, Washington, DC, p 108Google Scholar
  4. Balandier P, Collet C, Miller JH, Reynolds PE, Zedaker SM (2006) Designing forest vegetation management strategies based on the mechanisms and dynamics of crop tree competition by neighbouring vegetation. Forestry 79:3–27.  https://doi.org/10.1093/forestry/cpi056 CrossRefGoogle Scholar
  5. 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 32:1984–1991.  https://doi.org/10.1139/X02-087 CrossRefGoogle Scholar
  6. Beckage B, Clark JS (2003) Seedling survival and growth of three forest tree species: the role of spatial heterogeneity. Ecol 84(7):1849–1861.  https://doi.org/10.1890/0012-9658 CrossRefGoogle Scholar
  7. Bergin DO, Kimberley MO (2014) Factors influencing natural regeneration of totara (Podocarpus totara D.Don) on grazed hill country grassland in Northland, New Zealand. NZ J For Sci 44:13.  https://doi.org/10.1186/s40490-014-0013-8 Google Scholar
  8. Bilan MV (1960) Stimulation of cone and seed production in pole-size loblolly pine. For Sci 6:207–220Google Scholar
  9. Bonanomi G, Incerti G, Mazzoleni S (2011) Assessing occurrence, specificity, and mechanisms of plant facilitation in terrestrial ecosystems. Plant Ecol 212:1777–1790.  https://doi.org/10.1007/s11258-011-9948-5 CrossRefGoogle Scholar
  10. Bravo F, Pando V, Ordóñez C, Lizarralde I (2008) Modelling ingrowth in mediterranean pine forests: a case study from scots pine (Pinus sylvestris L.) and mediterranean maritime pine (Pinus pinaster Ait.) stands in Spain. For Syst 17:250–260.  https://doi.org/10.5424/srf/2008173-01039 Google Scholar
  11. Brown PM, Wu R (2005) Climate and disturbance of episodic tree recruitment in a southwestern ponderosa pine landscape. Ecology 86:3030–3038.  https://doi.org/10.1890/05-0034 CrossRefGoogle Scholar
  12. Callaway RM (2007) Positive interactions and interdependence in plant communities. Houten, Netherlands: Springer NetherlandsGoogle Scholar
  13. Carter RE, Klinka K (1992) Variation in shade tolerance of Douglas fir, western hemlock, and western red cedar in coastal British Columbia. For Ecol Manag 55:87–105.  https://doi.org/10.1016/0378-1127(92)90094-P CrossRefGoogle Scholar
  14. Comita LS, Aguilar S, Pérez R, Lao S, Hubbell SP (2007) Patterns of woody plant species abundance and diversity in the seedling layer of a tropical forest. J Veg Sci 18:163–174.  https://doi.org/10.1658/1100-9233 CrossRefGoogle Scholar
  15. Curtis RO (1982) A simple index of stand density for Douglas-fir. For Sci 28:92–94Google Scholar
  16. Edwards DGW (1976) Seed physiology and germination in western hemlock. In: Atkinson WA, Zasoski RJ (eds) Proceedings, Western Hemlock Management Conference. University of Washington, Seattle, Washington, pp 87–102Google Scholar
  17. Ferguson DE, Stage AR, Boyd RJ (1986) Predicting regeneration in the grand fir-cedar-hemlock ecosystem of the Northern Rocky Mountains. For Sci 32:1–42Google Scholar
  18. Feurtado JA, Ambrose SJ, Cutler AJ, Ross ARS, Abrams SR (2004) Dormancy termination of western white pine (Pinus monticola Dougl. Ex D. Don) seeds is associated with changes in abscisic acid metabolism. Planta 218:630–639.  https://doi.org/10.1007/s00425-003-1139-8 CrossRefPubMedGoogle Scholar
  19. Fei Y, Wang DX, Shi XX, Yi XF, Huang QP, Hui YN (2013) Effects of environmental factors on tree seedling regeneration in a pine-oak mixed forest in the Qinling Mountains, China. J Mount Sci 10:845–853.  https://doi.org/10.1007/s11629-013-2548-1 CrossRefGoogle Scholar
  20. FIA (2017) Forest Inventory and Analysis Database. U.S. Department of Agriculture, Forest Service, Northern Research Station, St. PaulGoogle Scholar
  21. Forbes A, Norton DA, Carswell FE (2016) Tree fern competition reduces indigenous forest tree seedling growth within exotic Pinus radiata plantations. For Ecol Manag 359:1–10.  https://doi.org/10.1016/j.foreco.2015.09.036 CrossRefGoogle Scholar
  22. Fortin MJ, Dale MRT (2005) Spatial analysis-a guide for ecologists. Cambridge University PressGoogle Scholar
  23. Gavinet J, Prévosto B, Fernandez C (2016) Do shrubs facilitate oak seedling establishment in Mediterranean pine forest understory? For Ecol Manag 381:289–296.  https://doi.org/10.1016/j.foreco.2016.09.045 CrossRefGoogle Scholar
  24. Gilliam FS (2007) The ecological significance of the herbaceous layer in temperate forest ecosystems. Bioscience 57:845–858.  https://doi.org/10.1641/B571007 CrossRefGoogle Scholar
  25. Gordon DR, Rice KJ (2000) Competitive suppression of Quercus douglasii (Fagaceae) seedling emergence and growth. Am J Bot 87:986–994CrossRefPubMedGoogle Scholar
  26. Grubb PJ (1977) The maintenance of species-richness in plant communities: the importance of the regeneration niche. Bio Rev 52:107–145CrossRefGoogle Scholar
  27. Hart SA, Chen HYH (2006) Understory vegetation dynamics of North American boreal forests. Crit Rev Plant Sci 25:381–397.  https://doi.org/10.1080/07352680600819286 CrossRefGoogle Scholar
  28. Heath LS, Hansen MH, Smith JE, Miles PD (2008) Investigation in calculating tree biomass and carbon in the FIADB using a biomass expansion factor approach. Forest Inventory and Analysis (FIA) Symposium; October 21–23. UT, Park City, p 2008Google Scholar
  29. Hessburg PF, Agee JK (2003) An environmental narrative of Inland Northwest United States forests, 1800-2000. For Ecol Manag 178:23–59.  https://doi.org/10.1016/S0378-1127(03)00052-5 CrossRefGoogle Scholar
  30. Honnay O, Hermy M, Coppin P (1999) Nested plant communities in deciduous forest fragments: species relaxation or nested habitats? Oikos 84:119–129.  https://doi.org/10.2307/3546872 CrossRefGoogle Scholar
  31. Jackman S, Tahk A, Zeileis A, Maimore C, Fearon J (2015) Package ‘pscl’: Political Science Computational Laboratory, Stanford University. URL http://pscl.stanford.edu/
  32. Jensen AM, Götmark F, Löf M (2012) Shrubs protect oak seedlings against ungulate browsing in temperate broadleaved forests of conservation interest: a field experiment. For Ecol Manag 266:187–193.  https://doi.org/10.1016/j.foreco.2011.11.022 CrossRefGoogle Scholar
  33. Jensen AM, Löf M (2017) Effects of interspecific competition from surrounding vegetation on mortality, growth and stem development in young oaks (Quercus robur). For Ecol Manag 392:176–183.  https://doi.org/10.1016/j.foreco.2017.03.009 CrossRefGoogle Scholar
  34. Kang S, Kim S, Oh S, Lee D (2000) Predicting spatial and temporal patterns of soil temperature based on topography, surface cover and air temperature. For Ecol Manage 136:173–184.  https://doi.org/10.1016/S0378-1127(99)00290-X CrossRefGoogle Scholar
  35. Jurgensen MF, Harvey AE, Graham RT, Page-Dumroese DS, Tonn JR, Larsen MJ, Jain TB (1997) Impacts of timber harvesting on soil organic matter, nitrogen, productivity, and health of Inland Northwest forests. For Sci 43(2):234–251Google Scholar
  36. Keitt TH, Bjørnstad ON, Dixon PM, Citron-Pousty S (2002) Accounting for spatial pattern when modelling organism-environment interactions. Ecography 25:616–625.  https://doi.org/10.1034/j.1600-0587.2002.250509.x CrossRefGoogle Scholar
  37. Kern CC, D’Amato AW, Strong TF (2013) Diversifying the composition and structure of managed, late-successional forests with harvest gaps: what is the optimal gap size? For Ecol Manag 304:110–120.  https://doi.org/10.1016/j.foreco.2013.04.029 CrossRefGoogle Scholar
  38. Knapp BO, Wang GG, Walker JL, Hu HF (2016) Using silvicultural practices to regulate competition, resource availability, and growing conditions for Pinus palustris seedlings underplanted in Pinus taeda forests. Can J For Res 46:902–913.  https://doi.org/10.1139/cjfr-2016-0066 CrossRefGoogle Scholar
  39. Kneeshaw DD, Burton PJ (1997) Canopy and age structures of some old sub-boreal Picea stands in British Columbia. J Veg Sci 8:615–626.  https://doi.org/10.2307/3237365 CrossRefGoogle Scholar
  40. Krasowski MJ, Owens JN (1991) Growth and morphology of western redcedar seedlings as affected by photoperiod and moisture stress. Can J For Res 21:340–352.  https://doi.org/10.1139/x91-042 CrossRefGoogle Scholar
  41. Larson MM, Schubert GH (1969) Effect of osmotic water stress on germination and initial development of ponderosa pine seedlings. For Sci 15:30–36Google Scholar
  42. Lavender DP (1984) Plant physiology and nursery environments: Interactions affecting seedling growth. In: Duryea ML, Landis TD (eds) Forest nursery manual: production of bare-rooted seedlings. Martinus Nijhoff/Dr. W. Junk Publishers, Boston, pp 133–141CrossRefGoogle Scholar
  43. Lewis JD, McKane RB, Tingey DT, Beedlow PA (2000) Vertical gradients in photosynthetic light response within an old-growth Douglas-fir and western hemlock canopy. Tree Physiol 20:447–456.  https://doi.org/10.1093/treephys/20.7.447 CrossRefPubMedGoogle Scholar
  44. Lewis SL, Tanner EV (2000) Effects of above- and belowground competition on growth and survival of rain forest tree seedlings. Ecology 81:2525–2538.  https://doi.org/10.1890/0012-9658 CrossRefGoogle Scholar
  45. Li MH, Du Z, Pan HL, Yan CF, Xiao WF, Lei JP (2012) Effects of neighboring woody plants on target trees with emphasis on effects of understorey shrubs on overstorey physiology in forest communities: a mini-review. Commun Ecol 13:117–128.  https://doi.org/10.1556/ComEc.13.2012.1.14 CrossRefGoogle Scholar
  46. Li XJ, Burton PJ (1994) Interactive effects of light and stratification on the germination of some British Columbia conifers. Can J Bot 72:1635–1646.  https://doi.org/10.1139/b94-201 CrossRefGoogle Scholar
  47. Long JN, Shaw JD (2005) A density management diagram for even-aged ponderosa pine stands. West J Appl For 20:205–215Google Scholar
  48. Mahalovich MF, Burr KE, Foushee DL (2006) Whitebark pine germination, rust resistance, and cold hardiness among seed sources in the Inland Northwest: planting strategies for restoration. USDA Forest Service Proceedings RMRS-P-43Google Scholar
  49. Mallik A (2003) Conifer regeneration problems in boreal and temperate forests with ericaceous understory: role of disturbance, seedbed limitation, and keytsone species change. Crit Rev Plant Sci 22(3–4):341–366.  https://doi.org/10.1080/713610860 CrossRefGoogle Scholar
  50. Monserud RA, Ledermann T, Sterba H (2005) Are self-thinning constraints needed in a tree-specific mortality model? For Sci 50:848–858Google Scholar
  51. Mühlenberg M, Appelfelder J, Hoffmann H, Ayush E, Wilson KJ (2012) Structure of the montane taiga forests of West Khentii, Northern Mongolia. J For Sci 58:45–56CrossRefGoogle Scholar
  52. Niinemets Ü, Valladares F (2006) Tolerance to shade, drought, and waterlogging of temperate northern hemisphere trees and shrubs. Ecol Monogr 76:521–547.  https://doi.org/10.1890/0012-9615 CrossRefGoogle Scholar
  53. Noble DL, Alexander RR (1977) Environmental factors affecting natural regeneration Engelmann spruce in the Central Rocky Mountains. For Sci 23:420–429Google Scholar
  54. Oswald BP, Neuenschwander LF (1993) Microsite variability and safe site description for western larch germination and establishment. Bull Torrey Bot Club 120:148–156.  https://doi.org/10.2307/2996944 CrossRefGoogle Scholar
  55. R core team (2017) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. http://www.R-project.org/
  56. Royo AA, Carson WP (2006) On the formation of dense understory layers in forests worldwide: consequences and implications for forest dynamics, biodiversity, and succession. Can J For Res 36:1345–1362.  https://doi.org/10.1139/x06-025 CrossRefGoogle Scholar
  57. Shannon CE (1948) A mathematical theory of communication. Bell Syst Tech J 27:379–423 and 623–656CrossRefGoogle Scholar
  58. Shaw JD (2000) Application of stand density index to irregularly structure stands. West J Appl For 15:40–42Google Scholar
  59. Sohngen B, Mendelsohn R, Sedjo R (1999) Forest management, conservation, and global timber markets. Am J Agric Econ 81(1):1–13.  https://doi.org/10.2307/1244446 CrossRefGoogle Scholar
  60. Stage AR, Salas C (2007) Interactions of elevation, aspect, and slope in models of forest species composition and productivity. For Sci 53:486–492Google Scholar
  61. Stuart JD, Agee JK, Gara RI (1989) Lodgepole pine regeneration in an old, self-perpetuating forest in a south central Oregon. Can J For Res 19:1096–1104.  https://doi.org/10.1139/x89-166 CrossRefGoogle Scholar
  62. Thrippleton T, Bugmann H, Kramer-Priewasser K, Snell RS (2016) Herbaceous understorey: an overlooked player in forest landscape dynamics? Ecosystems 19:1240–1254.  https://doi.org/10.1007/s10021-016-9999-5 CrossRefGoogle Scholar
  63. Tilman D (1994) Competition and biodiversity in spatially structured habitats. Ecology 75:2–16.  https://doi.org/10.2307/1939377 CrossRefGoogle Scholar
  64. Vandenberghe C, Freléchoux F, Gadallah F, Buttler A (2006) Competitive effects of herbaceous vegetation on tree seedling emergence, growth and survival: does gap size matter? J Veg Sci 17:481–488.  https://doi.org/10.1111/j.1654-1103.2006.tb02469.x CrossRefGoogle Scholar
  65. Vuong QH (1989) Likelihood ratio tests for model selection and non-nested hypotheses. Econometrica 57:307–333.  https://doi.org/10.2307/1912557 CrossRefGoogle Scholar
  66. Vyse A, Ferguson C, Simard SW, Kano T, Puttonen P (2006) Growth of Douglas-fir, lodgepole pine, and ponderosa pine seedlings under planted in a partially-cut, dry Douglas-fir stand in south-central British Columbia. For Chron 82:723–732.  https://doi.org/10.5558/tfc82723-5 CrossRefGoogle Scholar
  67. Walters MB, Farinosi EJ, Willis JL, Gottschalk KW (2016) Managing for diversity: harvest gap size drives complex light, vegetation, and deer herbivory impacts on tree seedlings. Ecosphere 7:e01397.  https://doi.org/10.1002/ecs2.1397 CrossRefGoogle Scholar
  68. Woodall CW, Oswalt CM, Westfall JA, Perry CH, Nelson MD, Finley AO (2009) An indicator of tree migration in forests of the eastern United States. For Ecol Manag 257:1434–1444.  https://doi.org/10.1016/j.foreco.2008.12.013 CrossRefGoogle Scholar
  69. Xiang W, Lei XD, Zhang XQ (2016) Modelling tree recruitment in relation to climate and competition in semi-natural Larix-Picea-Abies forests in Northeast China. For Ecol Manag 382:100–109.  https://doi.org/10.1016/j.foreco.2016.09.050 CrossRefGoogle Scholar
  70. Zeileis A, Kleiber C, Jackman S (2008) Regression models for count data in R. J Sat Softw 27:1–25.  https://doi.org/10.18637/jss.v027.i08 Google Scholar
  71. Zhang XQ, Lei YC, Cai D, Liu F (2012) Predicting tree recruitment with negative binomial mixture models. For Ecol Manag 270:209–215.  https://doi.org/10.1016/j.foreco.2012.01.028 CrossRefGoogle Scholar
  72. Zhu K, Woodall CW, Clark JS (2012) Failure to migrate: lack of tree range expansion in response to climate change. Glob Change Bio 18:1042–1052.  https://doi.org/10.1111/j.1365-2486.2011.02571.x CrossRefGoogle Scholar
  73. Zobel DB, Antos JA (1991) Growth and development of natural seedlings of Abies and Tsuga in old-growth forest. J Ecol 79:985–998.  https://doi.org/10.2307/2261093 CrossRefGoogle Scholar
  74. Zuur AF, Ieno EN, Walker NJ, Saveliev AA, Smith GM (2009) Mixed effects models and extensions in ecology with R. Springer, New York, pp 269–273CrossRefGoogle Scholar

Copyright information

© INRA and Springer-Verlag France SAS, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of Forest, Rangeland, and Fire SciencesUniversity of IdahoMoscowUSA

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