Different maximum latewood density and blue intensity measurements techniques reveal similar results |
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| Institution: | 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;1. Key Laboratory of Humid Subtropical Eco-geographical Process (Ministry of Education), Fujian Normal University, Fuzhou, 350007, China;2. College of Geography and Tourism, Huanggang Normal University, Huanggang, 438000, China;3. Regional Climate Group, Department of Earth Sciences, University of Gothenburg, Box 460 S-405 30, Gothenburg, Sweden;4. Swiss Federal Institute for Forest Snow and Landscape Research WSL, Birmensdorf, Switzerland;5. Faculty of Environment and Resource Studies, Mahidol University, 999 Phutthamonthon Rd4, Salaya, Phutthamonthon, Nakhon Pathom, 73170, Thailand;6. CAS Center for Excellence in Tibetan Plateau Earth Sciences, China;7. Key Laboratory of Cenozoic Geology and Environment, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, China;8. University of Chinese Academy of Sciences, Beijing, China;1. Idaho Tree-Ring Lab, Department of Geography, University of Idaho, 875 Perimeter Dr. MS3021, Moscow, ID 83843-3021, USA;2. Appalachian Tree Ring Lab, Department of Geography and Planning, Appalachian State University, PO Box 32066, Boone, NC 28608, USA;3. Earth Sciences & Map Library, Benson Earth Sciences, Room 165G, University of Colorado, Boulder, CO 80309, USA;1. Dendrology Department, University of Forestry, Sofia, Bulgaria;2. Institute of Geography, Russian Academy of Sciences, Moscow, Russia;1. Nature Rings – Environmental Research and Education, Mainz, Germany;2. Department of Geography, Justus-Liebig-University, Gießen, Germany;3. Institute for Geosciences, Johannes Gutenberg University, Mainz, Germany;4. Department of Geography, Johannes Gutenberg University, Mainz, Germany;5. Deutscher Wetterdienst, Offenbach, Germany;6. Department of Geography, University of Cambridge, UK;7. Swiss Federal Research Institute WSL, Birmensdorf, Switzerland;8. Global Change Research Centre AS CR, Brno, Czech Republic;1. Department of Geography, Universität Innsbruck, 6020, Innsbruck, Austria;2. Department of Physical Geography, Stockholm University, 106 91, Stockholm, Sweden |
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| Abstract: | Annually resolved and absolutely dated Maximum Latewood Density (MXD) and Blue Intensity (BI) measurements are frequently used for reconstructing summer temperature variability over the last centuries to millennia. A direct comparison of the outcome of both methods using similar material is needed due to how quickly this method is being adopted. The application of slightly different measuring systems (hardware) and analysis tools (software) in tandem with different wood samples and preparation procedures further challenges any straightforward assessment. Here we process 26 Norway spruce samples from the upper timberline in the Polish Tatra Mountains with the six most frequently used MXD and BI applications. Although offset is found in the raw MXD and BI data (0.04–0.13 g/cm3 and 0.45–1.58 dimensionless blue intensity), interannual and longer-term fluctuations are significantly (p < 0.01) positively correlated between all MXD and BI time-series. Our results emphasize the potential of faster and cheaper, as well as overall more user-friendly techniques to generate reliable MXD surrogates for high-frequency dendroclimatological studies. Although the correlations between MXD and BI were lower than within MXD and BI, the results of growth-climate response performed for both proxies show only marginal differences. The obtained level-offset further questions the suitability of joining different density surrogates for developing long-term composite chronologies to reconstruct low-frequency climate variability. |
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| Keywords: | Climate reconstruction Dendrochronology Maximum Wood Density Blue intensity Norway spruce Tatra Mountains |
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