Inter-comparison of population models for the calculation of radiation dose effects on wildlife

Modelling the effects of ionising radiation on a vole population from the Chernobyl Red forest in an ecological context

“…This is because our model assumes that Y are able to reproduce, and the balance of high exposure and immigration from Region 2 into 1 conspire to maintain a reproducing sick population. In our previous modelling studies we showed that, for isolated populations, fecundity is a more sensitive endpoint than morbidity (Vives i Batlle, 2012;Vives i Batlle et al, 2012). For Region 2, Fig.…”

“…Comparison with published results indicates that our model gives sensible answers, providing a point of validation. We also compared our findings with a previous model to model inter-comparison of radiation effects in populations (Vives i Batlle et al, 2012). For mice, the previous study reported population survival at 10 -2 Gy d -1 , followed by a sharp decrease in survivors between 0.02 and 0.03 Gy d -1 over a simulation period of 5 years.…”

“…They have been used to investigate the impacts of chemical contaminants on wildlife (Forbes and Calow, 2002;Hanson and Stark, 2011;Ibrahim et al, 2014;Stark et al, 2004). Recently, population modelling has been introduced in the field of radioecology (Alonzo et al, 2016;Monte, 2009;Sazykina, 2018;Vives i Batlle et al, 2012). These models help researchers to explore the potential population level consequences of ionising radiation, but they are insufficient for informing regulatory decision making where an ecosystem approach is increasingly advocated (Bradshaw et al, 2014;Brechignac, 2009).…”

From tangled banks to toxic bunnies; a reflection on the issues involved in developing an ecosystem approach for environmental radiation protection

“…All of these examples are potentially useful for radioecology but none to our knowledge have been applied at any scale with the exception of established population modelling methods (Vives i Batlle et al 2012;Alonzo et al 2016), or studies of Ra-226 characterization (Varley et al 2015). These tools are only recently being applied to the area of nuclear science and radiation protection (Gomez-Fernandez et al 2020) There are several questions:…”

Quantitative Modeling of Microbial Population Responses to Chronic Irradiation Combined with Other Stressors

“…Our goal was to integrate the analysis results from each data set by formulating general conclusions with potentially broad applicability to environmental protection and radioactive waste bioremediation. We used descriptive and (whenever possible) mechanistic mathematical modeling, which involved machine learning and/or information theoretic model selection, to analyze the three data sets and provide insight into environmental effects of radionuclides combined with other stressors [ 11 , 20 – 22 ].…”