dendroTools: R package for studying linear and nonlinear responses between tree-rings and daily environmental data |
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| Institution: | 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;1. Siberian Federal University, 79 Svobodny pr., 660041 Krasnoyarsk, Russia;2. Khakass Technical Institute, Siberian Federal University, 27 Shchetinkina St., 655017, Abakan, Russia;3. Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Zuercherstrasse 111, CH-8903 Birmensdorf, Switzerland;4. V. N. Sukachev Institute of Forest, Siberian Branch of the Russian Academy of Sciences, Akademgorodok 50/28, Krasnoyarsk, 660036, Russia;1. Swiss Federal Research Institute for Forest, Snow and Landscape Research WSL, Zürcherstrasse 111, CH-8903 Birmensdorf, Switzerland;2. Botanik, Basel University, Schönbeinstrasse 6, CH-4056 Basel, Switzerland;3. German Research Centre for Geosciences, Section 5.2: Climate Dynamics and Landscape Evolution, Telegrafenberg, 14473 Potsdam, Germany;4. Humboldt University, Geography Department, Rudower Chaussee 16, 12489 Berlin, Germany;5. School of Geography, Earth and Environmental Sciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK;6. Climatic Change and Climate Impacts, Institute for Environmental Sciences, 66 Blvd Carl Vogt, CH-1205 Geneva, Switzerland;7. Dept. Territorio e Sistemi Agro-Forestali, Università degli Studi di Padova, Viale dell’Università 16, I-35020 Legnaro, PD, Italy;8. Department of Bioscience, Ecoinformatics & Biodiversity, Aarhus University, Ny Munkegade 116, Building 1540, DK-8000 Aarhus C, Denmark;9. Institut National de l’Information Géographique et Forestière (IGN), 1 rue des blanches terres, 54250 Champigneulles, France;10. Laboratory of Tree-Ring Research, Bryant Bannister Tree-Ring Building, 1215 E. Lowell Street, Tucson, AZ 85721-0045, USA;11. Faculty of Forestry and Wood Sciences, Czech University of Life Sciences Prague, Kamycka 129, 165 21 Prague, Czech Republic;1. Department of Crop and Forest Sciences—AGROTECNIO Center, University of Lleida, Avda. Alcalde Rovira Roure 191, E-25198 Lleida, Spain;2. Mathematical Methods and IT Department, Siberian Federal University, L. Prushinskoy St. 2, 660075 Krasnoyarsk, Russia;1. Slovenian Forestry Institute, Department of Forest Yield and Silviculture, Večna pot 2, 1000, Ljubljana, Slovenia;2. Jožef Stefan Institute, Department of Knowledge Technologies, Jamova cesta 39, 1000, Ljubljana, Slovenia;3. Jožef Stefan International Postgraduate School, Jamova cesta 39, 1000, Ljubljana, Slovenia |
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| Abstract: | We introduce in this paper the dendroTools R package for studying the statistical relationships between tree-ring parameters and daily environmental data. The core function of the package is daily_response(), which works by sliding a moving window through daily environmental data and calculating statistical metrics with one or more tree ring proxies. Possible metrics are correlation coefficient, coefficient of determination and adjusted coefficient of determination. In addition to linear regression, it is possible to use a nonlinear artificial neural network with the Bayesian regularization training algorithm (brnn). dendroTools provides the opportunity to use daily climate data and robust nonlinear functions for the analysis of climate-growth relationships. Models should thus be better adapted to the real (continuous) growth of trees and should gain in predictive capabilities. The dendroTools R package is freely available in the CRAN repository. The functionality of the package is demonstrated on two examples, one using a mean vessel area (MVA) chronology and one a traditional tree-ring width (TRW). |
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| Keywords: | Dendroclimatology Daily climate data Running window Nonlinear modelling Tree-ring proxies Climate reconstruction |
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