Drivers of Boreal Tree Growth and Stand Opening: The Case of Jack Pine on Sandy Soils
The increase in open-crown forest stands in the closed-crown boreal forest of Quebec over the last 50 years prompts us to identify and understand the drivers responsible for stand opening. To do so, we studied 37 jack pine plots with varying degrees of canopy opening in the Eastern Canadian boreal forest to answer four questions: (1) Does stand opening result from a deficit in pine regeneration, from poor tree growth, or from both processes simultaneously? (2) In the event that pine stand opening results at least in part from poor tree growth, how early following stand initiation does the tree growth divergence occur between unproductive and productive plots? (3) Is poor tree growth in the unproductive plots related to water stress? Finally, (4) are there predisposing site factors and, if so, what are their contributions versus non-permanent factors such as disturbance history, vegetation, and soil dynamics? In the study area, jack pine stand openings resulted from both a poor regeneration density and weak tree growth. Tree growth divergence between productive and unproductive plots occurred very early during the post-disturbance forest succession and is not likely to result from water limitation during the early development of the trees as revealed by δ13C analysis of tree rings. Low-productivity plots were exclusively found on substrates with low base cation reserves. However, because plots of higher productivity were also found on these substrates, we conclude that stand susceptibility to regeneration failures may be greater on sites with such conditions. Variations in tree cover were mainly related to non-permanent environmental variables, suggesting that restoration of forest productivity is theoretically possible in the low-productivity sites investigated.
Keywordsecosystem stability forest management forest productivity jack pine lichen woodland pine regeneration predisposing factors regeneration failure stable alternative state terricolous lichen
This work was financially supported by a BMP-Innovation grant in partnership with the Natural Sciences and Engineering Research Council of Canada, the Fonds de Recherche du Québec - Nature et Technologies, and the Chair in Sustainable Forest Management (NSERC-UQAT-UQAM), by a Mitacs Accelerate grant in partnership with Chantiers Chibougamau, and a NSERC Collaborative Research and Development UQAT-Tembec-Chantiers Chibougamau grant. We thank S. Laflèche, R. Julien, D. Charron, S. Dagnault, F. Michaud, and J. Morissette for their help and advice in the field, and S. Rousseau for soil analysis. We also acknowledge our industrial partners, Chantiers Chibougamau, and Tembec, for providing us with regional archive data.
- Bergeron JF, Grondin P, Blouin J. 1999. Rapport de classification écologique du sous-domaine bioclimatique de la pessière à mousses de l’ouest. Forêt Québec, Canada: Ministère des Ressources naturelles.Google Scholar
- Brown RT, Mikola P. 1974. The influence of fruticose soil lichens upon the mycorrhizae and seedling growth of forest trees. In Suomen metsätieteellinen seura, Helsinki, Finland.Google Scholar
- Carter MR, Gregorich EG. 2007. Soil sampling and methods of analysis. Boca Raton, FL, USA: Canadian Society of Soil Sciences, CRC Press and Taylor & Francis Group.Google Scholar
- Gross J, Ligges U. 2015. nortest: Tests for normality. R package version 1.0-4. Available online at https://CRAN.R-project.org/package=nortest (last access 3 April 2019).
- IPCC 2018. Global warming of 1.5°C. Available online at http://www.ipcc.ch/report/sr15/ (last access 17 October 2018).
- Laflèche V, Bernier S, Saucier JP, Gagné C. 2013. Indices de qualité de station des principales essences commerciales en fonction des types écologiques du Québec méridional. Québec, ministère des ressources naturelles, Direction des inventaires forestiers.Google Scholar
- Mailly D. 2014. Application des modèles de croissance internodale variable au Québec. Gouvernement du Québec, ministère des Ressources naturelles, Direction de la recherche forestière.Google Scholar
- Mazerolle MJ. 2017. AICcmodavg: Model selection and multimodel inference based on (Q)AIC(c). R package version 2.0-1. Available online at http://CRAN.R-project.org/package=AICcmodavg (last access 29 October 2018).
- Ministère des Forêts, de la Faune et des Parcs du Québec. 2018. Carte écoforestière avec perturbations. Available online at https://geoegl.msp.gouv.qc.ca/igo/mffpecofor/?id=9a55defdd0 (last accessed on 29 October 2018)
- Neary D, Day M, Schneider G. 1972. Density-growth relationships in a nine year-old red pine plantation. Michigan academician 5:219–32.Google Scholar
- Oksanen JF, Blanchet G, Friendly M, Kindt R, Legendre P, McGlinn D, Minchin PR, O’Hara RB, Simpson GL, Solymos P, Stevens MHH, Szoecs E, Wagner H. 2018. Vegan: Community Ecology Package. R package version 2.5-2. Available online at https://CRAN.R-project.org/package=vegan (last accessed on 29 October 2018).
- Pacé M, Fenton NJ, Paré D, Stefani FOP, Massicotte HB, Tackaberry LE, Bergeron Y. 2018. Lichens contribute to open woodland stability in the boreal forest through detrimental effects on pine growth and root ectomycorrhizal status. Ecosystems . https://doi.org/10.1007/s10021-018-0262-0.Google Scholar
- Pothier D, Savard F. 1998. Actualisation des tables de production pour les principales espèces forestières du Québec. Québec, ministère des Ressources naturelles, Direction de la recherche forestière.Google Scholar
- R Core Team. 2018. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/.
- Skjemstad JO, Baldock JA. 2007. Total and organic carbon. In Carter MR, Gregorich EG, Eds. Soil sampling and methods analysis, 2nd edn. Canadian Society of Soil Sciences, CRC Press and Taylor & Francis Group, Boca Raton, FL, USA.Google Scholar
- Soil Classification Working Group. 1998. The Canadian system of soil classification. 3rd edn. Ottawa, Canada: NRC Research Press.Google Scholar
- Sinclair WA, Hudler GW. 1988. Tree declines: Four concepts of causality. Journal of Arboriculture 14(29):35.Google Scholar
- Thiffault N. 2006. Remise en production des landes à éricacées : résultats de quinze ans d’un essai sylvicole sur la Côte-Nord. Note de recherche forestière no. 132, ministère des Ressources naturelles et de la faune du Québec, direction de la recherche forestière, gouvernement du Québec, Québec, QC, Canada.Google Scholar
- Zuur AF, Ieno EN, Walker NJ, Saveliev AA, Smith GM. 2009. Mixed Effects Models and Extensions in Ecology with R. In: Gail M, Krickeberg K, Samet JM, Tsiatis A, Wong W, Eds. New York, (NY): Springer.Google Scholar