Evaluating the potential of an individual-tree sampling strategy for dendroecological investigations using the Italian National Forest Inventory data |
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| Affiliation: | 1. Department of Forest Management and Geodesy, Faculty of Forestry, Technical University in Zvolen, Slovakia;2. Department of Forest Management, Faculty of Forestry and Wood Sciences, Czech University of Life Sciences Prague, Czech Republic;3. Consiglio per la ricerca in agricoltura e l’analisi dell’economia agraria, Unità di ricerca per il Monitoraggio e la Pianificazione Forestale (CREA-MPF), Piazza Nicolini, 6, 38123 Trento, Italy;4. Consiglio per la ricerca in agricoltura e l’analisi dell’economia agraria, Unità di Ricerca per la Climatologia e la Meteorologia applicate all’Agricoltura (CREA-CMA), Via del Caravita 7/A, 00186 Roma, Italy;1. G. B. Pant National Institute of Himalayan Environment, Kosi–Katarmal, Almora 263 643, Uttarakhand, India;2. Birbal Sahni Institute of Palaeosciences, 53 University Road, Lucknow 226007, India;3. G B Pant National Institute of Himalayan Environment, Gangtok 737101, Sikkim, India;1. Tribhuvan University, Kathmandu, Nepal;2. WSL Swiss Federal Research Institute, CH-8903 Birmensdorf, Switzerland;1. Faculty of Science, Charles University in Prague, Prague, Czech Republic;2. School of Earth and Environmental Sciences, University of St., Andrews, UK;1. Faculty of Forestry, Technical University in Zvolen, T. G. Masaryka 24, 960 53, Zvolen, Slovak Republic;2. Institute of Forest Ecology, Slovak Academy of Sciences, Štúrova 2, 960 53, Zvolen, Slovak Republic;3. Faculty of Forestry and Wood Sciences, Czech University of Life Sciences Prague, Kamýcká 129, 165 00, Prague 6-Suchdol, Czech Republic;1. CEF – Forest Research Centre, School of Agriculture, University of Lisbon, Tapada da Ajuda, 1349-017 Lisboa, Portugal;2. CFE – Centre for Functional Ecology – Science for People & the Planet, Department of Life Sciences, University of Coimbra, Calçada Martim de Freitas, 3000-456 Coimbra, Portugal;3. Ecofield, Monitorizações, Estudos e Projetos, LDA, Carcavelos, Portugal |
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| Abstract: | European National Forest Inventories (NFIs) are well established in most of the European countries. In some NFIs, core samples are taken to estimate volume increments at annual resolution. However, the potential of the NFI for dendroecological investigations has not been evaluated so far. Therefore, the aim of this study was to test the potential of dendrochronological data collected during the Italian NFI in 2006. Silver fir was selected as a test species. Core samples were taken from eighty-one trees including one sample per inventory plot (IP). The 81 IPs were distributed across the Italian Alps and the northern Apennine thus well representing the site conditions of the study area. The effects of the detrending method and sample size on detecting middle- to long-term growth trends and high-frequency climate signals were tested. Further, cluster analysis was applied to find dissimilarities among tree-ring width (TRW) series.Results suggest the detrending method to be the most important factor for detecting growth trends, but not for identification of high-frequency climate signals. Sample size essentially influences the final mean chronology, but it does not bring new information when larger than 30 series. Two groups of trees were recognised with distinct middle-term TRW patterns, although being the same in terms of climate sensitivity. Results are mostly in line with recent findings of other authors, which suggest the potential of the NFI data for dendroecological investigations. |
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| Keywords: | Climate change Air pollution Growth dynamics Tree ring width |
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