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Spatial and temporal heterogeneity of forest site productivity drivers: a case study within the eastern boreal forests of Canada |
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| Authors: | Kenneth A Anyomi Frédéric Raulier Yves Bergeron Daniel Mailly Martin P Girardin |
| Institution: | 1. Centre d’étude de la Forêt. Faculté de foresterie, de géographie et de géomatique Université Laval, 2405 rue de la Terrasse, Québec, QC, G1V 0A6, Canada 2. NSERC/UQAT/UQAM Industrial Chair in Sustainable Forest Management, Université du Québec en Abitibi-Témiscamingue, 445 boul. de l’Université, Rouyn-Noranda, QC, J9X 5E4, Canada 3. Direction de la recherche forestière, Ministère des Ressources naturelles, 2700, rue Einstein, Québec, QC, G1P 3W8, Canada 4. Natural Resources Canada, Canadian Forest Service, Laurentian Forestry Centre, Stn. Sainte-Foy, P.O. Box 10380, Québec, QC, G1V 4C7, Canada |
| Abstract: | Forest productivity is driven by a suite of direct climatic and non-climatic factors that are transient or permanent. The kind of productivity driver and the nature of their effects vary by species, and scale dependencies potentially complicate these relationships. This study explored productivity-driver relations in eastern Boreal Canada and determined spatial effects in productivity control when expressed with stand dominant height at a reference age (site index). Data from 4,217 temporary sample plots obtained from boreal mixedwood and conifer bioclimatic domains, and with varied species composition, were used in this study. A single-level global model that assumes equal sensitivities across spatial scales was calibrated and compared with three alternative models reflecting different hypotheses on possible spatial heterogeneities. Alternative models were calibrated by plot-level soil deposit types (microscale), landscape dominant deposits (mesoscale) and bioclimatic domains (macroscale). A marked difference between the global and alternative models was observed, suggesting that a single global model does not sufficiently reflect existing heterogeneity in productivity-driver relationships. A combination of macro- and microscale models provided the best explanation of site index. Results further showed that site index is mainly driven by species composition (complementarity effects of aspen and jack pine compositions) and stand diameter structural diversity effects. It is concluded that successional changes, more than direct climatic effects, drive productivity. |
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