A new way of looking at dendroprovenancing: Spatial field correlations of residuals |
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| Affiliation: | 1. University College London, Institute of Archaeology, 31-34 Gordon Square, London, WC1H 0PY, UK;2. Oxford Dendrochronology Laboratory, Oxford, UK;3. School of the Environment, University of Auckland, Auckland, New Zealand;1. University of Ljubljana, Biotechnical Faculty, Department of Wood Science & Technology, Jamnikarjeva 101, SI-1000 Ljubljana, Slovenia;2. Scientific Research Centre of the Slovenian Academy of Sciences and Arts, Milko Kos Historical Institute, Novi trg 2, SI-1000 Ljubljana, Slovenia;3. University of Natural Resources and Life Sciences, Vienna, Institute of Wood Technology and Renewable Resources, UFT Tulln, Konrad Lorenz Strasse 24, 3430 Tulln, Austria;4. University of Ljubljana, Biotechnical Faculty, Department of Forestry and Renewable Forest Resources, Jamnikarjeva 101, SI-1000 Ljubljana, Slovenia;1. College of Geographical Sciences, Key Laboratory of Humid Subtropical Eco-geographical Process (MOE), Fujian Normal University, Fuzhou 350007, China;2. Fuzhou University of International Studies and Trade, Fuzhou 350202, China;1. School of Environment, The University of Auckland, Auckland, New Zealand;2. University College London, Institute of Archaeology, London, United Kingdom;3. Oxford Dendrochronology Laboratory, Oxford, United Kingdom;1. Department of Geography, Johannes Gutenberg University, Mainz, Germany;2. Department of Geography, University of Cambridge, United Kingdom;3. Swiss Federal Research Institute for Forest, Snow, and Landscape (WSL), Birmensdorf, Switzerland;4. Global Change Research Institute of the Czech Academy of Sciences (CzechGlobe), 603 00 Brno, Czech Republic;5. Department of Geography, Faculty of Science, Masaryk University, 613 00 Brno, Czech Republic;6. Moravian Dendro-Labor, Brno, Czech Republic;1. Pyrenean Institute of Ecology, IPE-CSIC, Avda. Montañana 1005, 50059, Zaragoza, Spain;2. Department of Geography, University of the Balearic Islands, Carr. de Valldemossa km 7.5, 07122, Palma de Mallorca, Spain;3. Área de Botánica, Departamento de Ciencias Agroforestales, EiFAB, iuFOR-Universidad de Valladolid, Campus Duques de Soria, 42004, Soria, Spain;4. Dept. Biologia Evolutiva, Ecologia i Ciències Ambientals, Univ. Barcelona, Av. Diagonal 643, 08028, Barcelona, Spain;5. Fakulteti i Shkencave Pyjore, Universiteti Bujqësor i Tiranës, 1029, Tirana, Albania;6. Ionplus AG. Lerzenstrasse 12, 8953, Dietikon, Switzerland;1. Swiss Federal Research Institute, WSL, Birmensdorf, Switzerland;2. Oeschger Centre for Climate Change Research, Bern, Switzerland;3. Institute of Plant and Animal Ecology UD RAS, Yekaterinburg, Russia;4. ETH Zurich, Institute of Terrestrial Ecosystems, Zurich, Switzerland;5. Dendrolab.ch, Bern University, Bern, Switzerland;6. Johannes Gutenberg University, Mainz, Germany;7. Iceland Forest Service, Reykjavik, Iceland;8. V.N Sukachev Institute of Forest SB RAS, Krasnoyarsk, Russia;9. Stolby National Wildlife Nature Reserve, Krasnoyarsk, Russia;10. Siberian Federal University, Krasnoyarsk, Russia;11. North-Eastern Federal University, Yakutsk, Russia;12. Melnikov Permafrost Institute, Yakutsk, Russia;13. Institute of Geography, RAS, Moscow, Russia;14. Institute for Forest Sciences IWW, University of Freiburg, Freiburg, Germany;15. Global Change Research Centre AS CR, Brno, Czech Republic |
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| Abstract: | A graphical method is used to demonstrate the results of new analytical steps introduced as an aid to provenancing oak within the British Isles. The current method for determining the likely area of origin of a tree-ring series is to map the distribution of t-values obtained when the subject chronology is compared with each of the available reference chronologies. Although useful, this falls into the trap that the t-value itself is subject to variation in length of the series being compared. The first step to overcome this is to instead use the R-value, a common way of characterising inter-site tree-ring relationships. It can be seen however that with dated sites, the geographical spread of well-matching sites is often quite large (the very reason why one can have confidence in the dating). This new method introduces two new steps. The first is to subtract the regional growth signal before comparing the sites. It is then possible to focus on the often more minor local scale variations in growth, the weak relationships previously overwhelmed by the regional signal sometimes becoming apparent using the paired inter-site correlations (residuals). The second step is then introduced, exploiting the information available in these maps. Objectively quantifying the agreement between the spatial correlation fields for a single site is achieved by scoring and mapping the agreement between the inter-site correlation maps for each other site, here termed the ‘field correlation’. It is shown that this sometimes gives an improved indication of the likely area of growth, and can be used in conjunction with any other information available to suggest likely geographical origins with more confidence. |
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| Keywords: | Dendroprovenancing Oak dendrochronology British Isles |
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