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      The changing culture of silviculture

      1 , 1 , 2 , 3 , 4 , 4 , 2 , 5 , 6 , 7 , 8 , 4 , 2 , 9 , 1 , 2 , 10 , 2 , 11 , 12 , 12 , 13 , 14 , 15 , 15 , 4 , 16 , 17 , 18 , 11 , 4 , 8 , 19 , 1 , 16 , 20 , 21
      Forestry: An International Journal of Forest Research
      Oxford University Press (OUP)

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          Abstract

          Changing climates are altering the structural and functional components of forest ecosystems at an unprecedented rate. Simultaneously, we are seeing a diversification of public expectations on the broader sustainable use of forest resources beyond timber production. As a result, the science and art of silviculture needs to adapt to these changing realities. In this piece, we argue that silviculturists are gradually shifting from the application of empirically derived silvicultural scenarios to new sets of approaches, methods and practices, a process that calls for broadening our conception of silviculture as a scientific discipline. We propose a holistic view of silviculture revolving around three key themes: observe, anticipate and adapt. In observe, we present how recent advances in remote sensing now enable silviculturists to observe forest structural, compositional and functional attributes in near-real-time, which in turn facilitates the deployment of efficient, targeted silvicultural measures in practice that are adapted to rapidly changing constraints. In anticipate, we highlight the importance of developing state-of-the-art models designed to take into account the effects of changing environmental conditions on forest growth and dynamics. In adapt, we discuss the need to provide spatially explicit guidance for the implementation of adaptive silvicultural actions that are efficient, cost-effective and socially acceptable. We conclude by presenting key steps towards the development of new tools and practical knowledge that will ensure meeting societal demands in rapidly changing environmental conditions. We classify these actions into three main categories: re-examining existing silvicultural trials to identify key stand attributes associated with the resistance and resilience of forests to multiple stressors, developing technological workflows and infrastructures to allow for continuous forest inventory updating frameworks, and implementing bold, innovative silvicultural trials in consultation with the relevant communities where a range of adaptive silvicultural strategies are tested. In this holistic perspective, silviculture can be defined as the science of observing forest condition and anticipating its development to apply tending and regeneration treatments adapted to a multiplicity of desired outcomes in rapidly changing realities.

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          Most cited references98

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          A generalised model of forest productivity using simplified concepts of radiation-use efficiency, carbon balance and partitioning

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            Scaling regression inputs by dividing by two standard deviations.

            Interpretation of regression coefficients is sensitive to the scale of the inputs. One method often used to place input variables on a common scale is to divide each numeric variable by its standard deviation. Here we propose dividing each numeric variable by two times its standard deviation, so that the generic comparison is with inputs equal to the mean +/-1 standard deviation. The resulting coefficients are then directly comparable for untransformed binary predictors. We have implemented the procedure as a function in R. We illustrate the method with two simple analyses that are typical of applied modeling: a linear regression of data from the National Election Study and a multilevel logistic regression of data on the prevalence of rodents in New York City apartments. We recommend our rescaling as a default option--an improvement upon the usual approach of including variables in whatever way they are coded in the data file--so that the magnitudes of coefficients can be directly compared as a matter of routine statistical practice. (c) 2007 John Wiley & Sons, Ltd.
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              Changes in Climate Extremes and their Impacts on the Natural Physical Environment

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                Author and article information

                Journal
                Forestry: An International Journal of Forest Research
                Oxford University Press (OUP)
                0015-752X
                1464-3626
                November 13 2021
                November 13 2021
                Affiliations
                [1 ]Centre de recherche sur les matériaux renouvelables, Département des sciences du bois et de la forêt, Pavillon Abitibi-Price, 2405 rue de la Terrasse, Université Laval, Québec, QC G1V 0A6, Canada
                [2 ]Department of Forest Resources Management, Faculty of Forestry, University of British Columbia, 2424 Main Mall, Vancouver, British Columbia V6T 1Z4, Canada
                [3 ]Office of the Chief Forester - Resource Practices Branch, BC Ministry of Forests, Lands, Natural Resource Operations and Rural Development, PO Box 9513 Stn Prov Gov, Victoria, BC V8W 9C2, Canada
                [4 ]Direction de la recherche forestière, Ministère des Forêts, de la Faune et des Parcs du Québec, 2700 rue Einstein, Québec, QC G1P 3W8, Canada
                [5 ]FPInnovations, 2665 East Mall, Vancouver, BC V6T1Z4, Canada
                [6 ]Institute of Forestry and Conservation, University of Toronto, 33 Willcocks street, Toronto, ON M5S 3B3, Canada
                [7 ]Canadian Forest Service (Canadian Wood Fibre Centre), Natural Resources Canada, 1350 Regent Street, P.O. Box 4000, Fredericton, NB E3B 5P7, Canada
                [8 ]Faculty of Forestry and Environmental Management, University of New Brunswick, 28 Dineen Drive, Fredericton, NB E3B 5A3, Canada
                [9 ]Canadian Forest Service (Canadian Wood Fibre Centre), Natural Resources Canada, 506 West Burnside Road, Victoria, BC V8Z 1M5, Canada
                [10 ]ETH Zürich Institute of Terrestrial Ecosystems, Department of Environmental System Sciences, Universitätstrasse 16, 8092 Zurich, Switzerland
                [11 ]Nova Scotia Department of Natural Resources and Renewables, 15 Arlington Place, Suite 7, Truro, NS B2N 0G9, Canada
                [12 ]Groupe de recherche en écologie de la MRC-Abitibi (GREMA), Institut de recherche sur les forêts, Université du Québec en Abitibi-Témiscamingue, 341, rue Principale Nord, Amos, QC, J9T 2L8, Canada
                [13 ]Restoration Ecology Research Group, Department of Wildlife, Fish and Environmental Studies, Swedish University of Agricultural Sciences, Skogsmarksgränd, Umeå 907 36, Sweden
                [14 ]Ontario Ministry of Natural Resources and Forestry, Centre for Northern Forest Ecosystem Research, 421 James Street South Thunder Bay, ON P7E 2V6, Canada
                [15 ]Department of Renewable Resources, University of Alberta, 4-42 Earth Sciences Building, Edmonton, AB T6G 2E3, Canada
                [16 ]Canadian Forest Service (Canadian Wood Fibre Centre), Natural Resources Canada, 1055 du PEPS, P.O. Box 10380, Stn. Sainte-Foy, Québec, QC G1V 4C7, Canada
                [17 ]Chaire de Recherche sur la Forêt Habitée, Département de Biologie, Chimie et Géographie, Université du Québec à Rimouski, 300 Allée des Ursulines, Rimouski, QC G5L 3A1, Canada
                [18 ]École de foresterie, Université de Moncton, campus d'Edmundston. 165 boulevard Hébert, Edmundston, Nouveau-Brunswick E3V 2S8, Canada
                [19 ]Canadian Forest Service (Atlantic Forestry Centre), Natural Resources Canada, 1350 Regent Street, PO Box 4000, Fredericton, New Brunswick E3B 5P7, Canada
                [20 ]FPInnovations, 570 Saint-Jean Blvd., Pointe-Claire, QC H9R 3J9, Canada
                [21 ]Canadian Forest Service (Pacific Forestry Centre), Natural Resources Canada, 506 West Burnside Road, Victoria, V8Z 1M5, BC, Canada
                Article
                10.1093/forestry/cpab047
                fa2cebc7-b928-46cd-8add-47aadf47b7f1
                © 2021

                https://creativecommons.org/licenses/by/4.0/

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