The potential of intra-annual density information for crossdating of short tree-ring series |
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| Institution: | 1. Forest Growth, Albert-Ludwigs-University Freiburg, Tennenbacher Str. 4, 79106 Freiburg, Germany;2. Bioinformatics, Albert-Ludwigs-University Freiburg, Georges-Koehler-Allee 106, 79110 Freiburg, Germany;1. Slovenian Forestry Institute, Department of Forest Yield and Silviculture, Ve?na pot 2, 1000, Ljubljana, Slovenia;2. University of Zagreb, Faculty of Forestry, Department of Forest Inventory and Management, Sveto?imunska 25, 10000, Zagreb, Croatia;3. Institute of Lowland Forestry and Environment, University of Novi Sad, Antona ?ehova 13 D, 21000, Novi Sad, Serbia;1. School of Environment, The University of Auckland, Auckland, New Zealand;2. University College London, Institute of Archaeology, London, UK;3. Oxford Dendrochronology Laboratory, Oxford, UK;1. Département de biologie, chimie et géographie et Centre d’études nordiques, Université du Québec à Rimouski, 300 Allée des ursulines, Rimouski, QC G5L 3A1, Canada;2. Institut National de la Recherche Scientifique, 490 de la Couronne, Québec, QC G1K 9A9, Canada;1. Siberian Federal University, 79 Svobodny pr., 660041, Krasnoyarsk, Russia;2. V. N. Sukachev Institute of Forest, Siberian Branch of the Russian Academy of Sciences, Krasnoyarsk, Russia;3. Khakass Technical Institute, Siberian Federal University, 27 Shchetinkina St., 655017, Abakan, Russia;4. Le Studium Loire Valley Institute for Advanced Studies, Orleans, France |
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| Abstract: | The crossdating of tree-ring series is typically based on tree-ring width sequences, which is a crude abstraction of the growth signal stored in tree rings. In contrast, intra-annual wood density data allows a much more detailed comparison of wood growth processes and new measurement techniques scale well to measure large amounts of samples. Thus, chronologies of intra-annual densitometric curves can be built. Here, we investigate to what extent intra-annual wood density information can improve crossdating. We evaluate different approaches on a data set of Norway spruce trees (Picea abies) and compare the results to standard methods that are based on ring width or maximum density. Our results show that intra-annual densitometric data indeed increases crossdating success rate notably for short tree ring series that cover less than 25 years. |
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| Keywords: | Crossdating Tree ring Wood density profile Intra-annual Microdensitometry Picea abies |
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