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Query: "keywords" (ecological modelling) .

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1.
Where to search: the use of opportunistic data for the detection of an invasive forest pest
Maarten De Groot, Nikica Ogris, Mark van der Meij, Michael J.O. Pocock, 2022, original scientific article

Abstract: Early detection is important for the management of invasive alien species. In the last decade citizen science has become an important source of such data. Here, we used opportunistic records from the “LIFE ARTEMIS” citizen science project, in which people submitted records from places where they observed tree pests, to understand the distribution of a rapidly-spreading forest pest: the oak lace bug (Corythucha arcuata) in Slovenia. These citizen science records were not distributed randomly. We constructed a species distribution model for C. arcuata that accounted for the biased distribution of citizen science by using the records of other tree pests and diseases from the same project as pseudo-absences (so-called constrained pseudo-absences), and compared this to a model with pseudo-absences selected randomly from across Slovenia. We found that the constrained pseudo-absence model showed that C. arcuata was more likely to be found in east, in places with more oak trees and at lower elevations, and also closer to highways and railways, indicating introduction and dispersal by accidental human transport. The outputs from the model with random pseudo-absences were broadly similar, although estimates from this model tended to be higher and less precise, and some factors that were significant (proximity to minor roads and human settlements) were artefacts of recorder bias, showing the importance of taking the distribution of recording into account wherever possible. The finding that C. arcuata is more likely to be found near highways allows us to design advice for where future citizen science should be directed for efficient early detection.
Keywords: Oak lace bug, ecological modelling, citizen science, invasive alien species, early detection, Corythucha arcuata
Published in DiRROS: 08.09.2022; Views: 487; Downloads: 244
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2.
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: 2007; Downloads: 1150
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3.
Calculation procedure for RITY-A phenology model of Ips typographus
Nikica 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: 1677; Downloads: 1017
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