A national tree-ring data repository for Canadian forests (CFS-TRenD): structure, synthesis, and applications

Author:

Girardin Martin P.1,Guo Xiao Jing1,Metsaranta Juha2,Gervais David1,Campbell Elizabeth3,Arsenault André4,Isaac-Renton Miriam5,Harvey Jill E.2,Bhatti Jag2,Hogg Edward H.2

Affiliation:

1. Natural Resources Canada, Canadian Forest Service, Laurentian Forestry Centre, Québec, QC G1V 4C7, Canada.

2. Natural Resources Canada, Canadian Forest Service, Northern Forestry Centre, Edmonton, AB T6H 3S5, Canada.

3. Natural Resources Canada, Canadian Forest Service, Pacific Forestry Centre, Victoria, BC V8Z 1M5, Canada.

4. Natural Resources Canada, Canadian Forest Service, Atlantic Forestry Centre, Corner Brook, NL A2H 6J3, Canada.

5. Natural Resources Canada, Canadian Forest Service, Canadian Wood Fibre Centre, Victoria, BC V8Z 1M5, Canada.

Abstract

Understanding the magnitude and cause of variation in tree growth and forest productivity is central to sustainable forest management. Measurements of annual growth rings allow assessments of individual-tree, tree population, and forest ecosystem vulnerabilities to drought stress or other changing forest disturbance regimes (insects, diseases, fire), which can be used to identify areas at greatest risk of forest losses. Given a heightened demand for tree-ring data, we consolidated and synthesized tree-ring studies and datasets gathered over the past 30 years in Canada by scientists with the Canadian Forest Service and research partners. We incorporated these datasets into a data repository that currently contains tree-ring measurements from 40 206 tree samples from 4594 sites and 62 tree species from all Canadian provinces and territories. Through our synthesis, we demonstrate the value of such large ensembles of tree-ring data for identifying patterns in tree growth over large spatial scales by mapping pan-Canadian drought sensitivity. Overall, we found high coherence in the samples analyzed; low coherence was generally limited to data-poor regions and species. Drought sensitivity was widespread across species and regions: 34% of sampled trees displayed a significant positive relationship between annual growth increment and summer soil moisture index. Dependence upon water availability in species Picea mariana (Mill.) BSP, Pinus banksiana Lamb., Pinus contorta Douglas ex Loudon, and Pseudotsuga menziesii (Mirb.) Franco was more strongly expressed in the warmest regions of the species’ range; for species Picea glauca (Moench) Voss and Populus tremuloides Michx., drought sensitivity was stronger in the driest regions. This unprecedented consolidation and synthesis of tree-ring data will enable new research initiatives (e.g., meta-analyses) aimed at improved understanding of the drivers, patterns, and implications of changes in tree growth, as well as facilitating new research collaborations in earth and environmental sciences. Among other things, there is a need for expanding the spatial distribution of sites across Canada’s northern regions, increasing the number of samples collected from older stands and angiosperm species, and integrating datasets from studies that evaluate the effects of silvicultural experiments, including provenance and progeny trials, on tree growth.

Publisher

Canadian Science Publishing

Subject

General Environmental Science

Reference122 articles.

1. Continental-scale temperature variability during the past two millennia

2. Aitken, S.N. 2004. Genecology and adaptation of forest trees. In Encyclopedia of Forest Sciences. Edited by J. Burley, J. Evans, and J. Youngquist. Elsevier Ltd., U.K. pp. 197–204.

3. Time to get moving: assisted gene flow of forest trees

4. A Method of Bivariate Interpolation and Smooth Surface Fitting for Irregularly Distributed Data Points

5. Alfaro, R., Campbell, E.M., and Hawkes, B. 2010. Historical frequency, intensity and extent of mountain pine beetle disturbance in British Columbia. Mountain Pine Beetle Working Paper 2009-30. Natural Resources Canada, Canadian Forest Service, Victoria, B.C.

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