| Title: | DendroTools : R package for studying linear and nonlinear responses between tree-rings and daily environmental data |
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| Authors: | ID Jevšenak, Jernej (Author)
ID Levanič, Tom (Author) |
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| Files: |  PDF - Presentation file, download (1,19 MB)
MD5: 39B284BEC5974690B1AF8E4830A80DF2
PID: 20.500.12556/dirros/dda010a8-1531-486b-98b8-9ba0826c674c
 URL - Source URL, visit https://www.sciencedirect.com/science/article/pii/S1125786517301613?via%3Dihub
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| Language: | English |
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| Typology: | 1.01 - Original Scientific Article |
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| Organization: |  SciVie - Slovenian Forestry Institute
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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 coeffi- cient 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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| Publication status: | Published |
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| Publication version: | Author Accepted Manuscript |
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| Number of pages: | str. 32-39 |
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| Numbering: | Vol. 48 |
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| PID: | 20.500.12556/DiRROS-8217  |
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| UDC: | 630*56:630*17:630*11 |
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| ISSN on article: | 1125-7865 |
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| DOI: | 10.1016/j.dendro.2018.01.005 |
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| COBISS.SI-ID: | 4995238 |
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| Publication date in DiRROS: | 16.04.2018 |
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| Views: | 3423 |
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| Downloads: | 2217 |
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