TRADER: A package for Tree Ring Analysis of Disturbance Events in R |
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| Affiliation: | 1. Faculty of Science, Department of Botany, University of South Bohemia, Na Zlaté Stoce 1, 37005 České Budějovice, Czech Republic;2. Institute of Botany of the Academy of Sciences of the Czech Republic, Zámek 1, 25243 Průhonice, Czech Republic;3. Department of Forest Sciences, University of Helsinki, P.O. Box 27, FI-00014, Finland;1. Thünen-Insitute, Institute for Forest Ecosystems, Alfred-Moeller-Strasse 1, 16225 Eberswalde, Germany;2. Institute of Botany and Landscape Ecology, University Greifswald, Grimmer Strasse 88, 17487 Greifswald, Germany;3. Saarstraße 6, 16225 Eberswalde, Germany;1. Institute of Botany of the Czech Academy of Sciences, Zámek 1, 25243 Průhonice, Czech Republic;2. Faculty of Science, Department of Botany, University of South Bohemia, Na Zlaté Stoce 1, 37005 České Budějovice, Czech Republic;3. Forest Research Station, Field Science Center for Northern Biosphere, Hokkaido University, Nayoro 096-0071, Japan;4. Institute of Low Temperature Science, Hokkaido University, Kita-ku, Sapporo 060-0819, Japan;1. Institute of Botany, Czech Academy of Science, Průhonice, Czech Republic;2. Faculty of Science, University of South Bohemia, České Budějovice, Czech Republic;3. Institute of Entomology, Biology Centre ASCR, České Budějovice, Czech Republic;1. Sustainable Forest Management Research Institute, UVA-INIA, Avenida Madrid, s/n, 34071 Palencia, Spain;2. Department of Biogeochemical Processes, Max Planck Institute for Biogeochemistry, Hans-Knöll-Straße 10, 07745 Jena, Germany;3. Research Center on Ecosystems and Global Change, Carbono & Bosques (C&B), Calle 51A, No. 72-23, Int: 601, 050034 Medellín, Colombia;1. Institute of Botany and Landscape Ecology, University of Greifswald, Soldmannstr. 15, 17487 Greifswald, Germany;2. Forest Research and Management Institute, Bucharest, 128 Bd Eroilor, Voluntari, Romania |
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| Abstract: | Studies using tree-rings to reconstruct forest disturbance dynamics are common and their number has been increasing in the recent years. Despite the evident need for a common set of tools for verification, replication and comparison across studies, only a few DOS programmes for disturbance detection exist and they are for limited purposes only. Currently, the ideal statistical environment for the task is R, which is becoming the primary tool for various types of tree-ring analyses. This has led to the development of TRADER (Tree Ring Analysis of Disturbance Events in R), an open-source software package for R that provides an analysis of tree growth history for disturbance reconstructions. We have implemented four methods, which are commonly used for the detection of disturbance events: radial-growth averaging criteria developed by Nowacki and Abrams, 1997, the boundary-line method (Black and Abrams, 2003), the absolute-increase method (Fraver and White, 2005), and the combination of radial-growth averaging and boundary-line techniques (Splechtna et al., 2005). TRADER, however, enables the analysis of disturbance history by a total of 24 published methods. Furthermore, functions for the detection of tree recruitment and growth trends were also included. The main features of the presented package are described and their application is shown on a real tree-ring datasets. The package requires little knowledge of the R environment giving straightforward analyses with suitable parameters, but at the same time it is easily modifiable by the more experienced user. The package improves research efficiency and facilitates replication of previous studies. One of its major advantages is that it offers the possibility for comparison between different methods of disturbance history reconstruction. |
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| Keywords: | Disturbance reconstruction Growth release R Tree establishment Growth pattern Tree-ring |
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