Delta blue intensity vs. maximum density: A case study using Pinus uncinata in the Pyrenees |
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| Institution: | 1. School of Geography and Geosciences, University of St Andrews, Fife, KY16 9AL, UK;2. Lamont-Doherty Earth Observatory of Columbia University, Palisades, New York, 10964, USA;3. The Roslin Institute, University of Edinburgh, Midlothian, EH25 9RG, UK;4. AOC Archaeology Group, Edinburgh, UK;5. Department of Geography, University of Cambridge, Cambridge, UK;6. Swiss Federal Research Institute WSL, Birmensdorf, Switzerland;7. Global Change Research Centre AS CR, Brno, Czechia;8. Department of Environmental Studies, University of Richmond, USA;9. Earth and Environmental Sciences, University of Michigan, USA;10. Department of Earth Sciences, University of Gothenburg, SE-40530, Gothenburg, Sweden;11. Department of Physical Geography, Stockholm University, SE-106 91, Stockholm, Sweden;12. Institute of Geography, University of Innsbruck, Innrain 52, 6020, Innsbruck, Austria;1. Dendrology Department, University of Forestry, Sofia, Bulgaria;2. Institute of Geography, Russian Academy of Sciences, Moscow, Russia;1. Forest Biometrics Laboratory, Faculty of Forestry, “?tefan cel Mare” University of Suceava, Romania;2. National Institute for Research and Development of Isotopic and Molecular Technologies, Department of Mass Spectrometry, Chromatography and Applied Physics, Cluj-Napoca, Romania;3. Alfred-Wegener-Institute Helmholtz Centre for Polar and Marine Research, Bremerhaven, Germany;4. National Research and Development Institute for Forestry Marin Dracea, Campulung Moldovenesc, Romania;5. INCE - Mountain Economy Center CE-MONT Vatra Dornei, Romania;1. School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, NSW, 2052, Australia;2. Australian Research Council Centre of Excellence for Australian Biodiversity and Heritage (CABAH), University of New South Wales, NSW, 2052, Australia;3. Dendrosciences, Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Birmensdorf, Switzerland;4. School of Chemistry, University of New South Wales, Sydney, NSW, 2052, Australia;1. Department of Geography, Universität Innsbruck, 6020, Innsbruck, Austria;2. Department of Physical Geography, Stockholm University, 106 91, Stockholm, Sweden;1. Faculty of Earth Sciences, University of Silesia, Sosnowiec, Poland;2. Institute of Botany and Landscape Ecology, University Greifswald, Greifswald, Germany;3. Department of Geography, University of Cambridge, Cambridge, UK;4. Swiss Federal Research Institute WSL, Birmensdorf, Switzerland;5. Czech Globe and Masaryk University, Brno, Czech Republic |
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| Abstract: | We explore the potential of the delta blue intensity (DBI) parameter as a proxy of past summer temperatures using a well replicated (85 trees) chronology of Pinus uncinata from upper treeline in the Spanish Pyrenees. Principal component analysis, correlation response function analysis and Superposed Epoch Analysis show definitively that the DBI data are indistinguishable to other MXD datasets in the region and that DBI expresses a similarly “pure” time-stable climate signal as MXD when compared to their RW counterparts. Calibration r2 values > 0.5 are attainable depending on period used. The signal strength of DBI data is weaker than MXD and behave more like RW data with ca. 19 trees being needed to attain an EPS value > 0.85. However, as the generation of DBI data is cheaper than MXD, this limitation is not deemed to be a serious issue. This pilot study suggests that robust reconstructions of past summer temperatures could be gained using DBI data at a much-reduced cost than relying on MXD. Future dendroclimatic efforts in the region therefore should focus on the measurement of this parameter and the expansion of the pinus ring-density network. |
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| Keywords: | Delta blue intensity Pyrenees Pinus uncinata Summer temperatures |
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