31. Sensitivity analysis, calibration and validation of a phenology model for Pityogenes chalcographus (CHAPY)Nikica Ogris, Mitja Ferlan, Tine Hauptman, Roman Pavlin, Andreja Kavčič, Maja Jurc, Maarten De Groot, 2020, original scientific article Abstract: A phenology model of Pityogenes chalcographus was developed. The model quite accurately simulates the seasonal dynamics of P. chalcographus. Sensitivity analysis revealed the most influential parameters. CHAPY was calibrated and validated for Slovenia. Development of the model revealed several knowledge gaps.
Keywords: six-toothed spruce bark beetle, insect outbreak, population dynamics, voltinism, ecological modelling, pheromone trap, trap tree, monitoring
Published in DiRROS: 03.06.2020; Views: 2059; Downloads: 1174
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33. Calculation procedure for RITY-A phenology model of Ips typographusNikica Ogris, 2020, original scientific article Abstract: The RITY-2 phenology model was developed for the spatiotemporal simulation of the seasonal development of European spruce bark beetle, Ips typographus . RITY-2 is based on the PHENIPS model and was developed through improving PHENIPS with innovative approaches and calibrating and validating it for Slovenia. RITY-2 predictions are based on air temperatures from Integrated Nowcasting through a Comprehensive Analysis (INCA) system, which is used to calculate the effective bark temperature for beetle development. In this paper we describe the calculation procedure for RITY-2.
Keywords: European spruce bark beetle, phenology, ecological modelling, voltinism, population dynamics
Published in DiRROS: 19.03.2020; Views: 1724; Downloads: 1041
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34. DendroTools : R package for studying linear and nonlinear responses between tree-rings and daily environmental dataJernej Jevšenak, Tom Levanič, original scientific article 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).
Keywords: dendroclimatology, daily climate data, running window, nonlinear modelling, tree-ring proxies, climate reconstruction
Published in DiRROS: 16.04.2018; Views: 3027; Downloads: 1896
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