An Individual-Based Model of Zebrafish Population Dynamics Accounting for Energy Dynamics

Beaudouin, Rémy; Goussen, Benoit; Piccini, Benjamin; Augustine, Starrlight; Devillers, James; Brion, François; Péry, Alexandre R.R.

doi:10.1371/journal.pone.0125841

Cited by 40 publications

(36 citation statements)

References 57 publications

(89 reference statements)

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“…48, see p. 244]. An IBM is used to translate the changes in growth, reproduction, and survival to population endpoints pertinent to support risk assessment such as the population biomass or abundance or the population structure3450.…”

Section: Theory and Methodsmentioning

confidence: 99%

“…Therefore we model organism responses and then use the organism level model as a building block in population models to extrapolate to higher levels of organization. Extrapolations to the population level of organisation has already been developed and applied343536 but further work is still needed to extrapolate to higher level of organisation (e.g. community level)3738.…”

Section: Integration Of Multiple Stressorsmentioning

confidence: 99%

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Integrated presentation of ecological risk from multiple stressors

Goussen

Price

Rendal

et al. 2016

Sci Rep

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Current environmental risk assessments (ERA) do not account explicitly for ecological factors (e.g. species composition, temperature or food availability) and multiple stressors. Assessing mixtures of chemical and ecological stressors is needed as well as accounting for variability in environmental conditions and uncertainty of data and models. Here we propose a novel probabilistic ERA framework to overcome these limitations, which focusses on visualising assessment outcomes by construct-ing and interpreting prevalence plots as a quantitative prediction of risk. Key components include environmental scenarios that integrate exposure and ecology, and ecological modelling of relevant endpoints to assess the effect of a combination of stressors. Our illustrative results demonstrate the importance of regional differences in environmental conditions and the confounding interactions of stressors. Using this framework and prevalence plots provides a risk-based approach that combines risk assessment and risk management in a meaningful way and presents a truly mechanistic alternative to the threshold approach. Even whilst research continues to improve the underlying models and data, regulators and decision makers can already use the framework and prevalence plots. The integration of multiple stressors, environmental conditions and variability makes ERA more relevant and realistic.

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Section: Theory and Methodsmentioning

confidence: 99%

Section: Integration Of Multiple Stressorsmentioning

confidence: 99%

Integrated presentation of ecological risk from multiple stressors

Goussen

Price

Rendal

et al. 2016

Sci Rep

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“…Mathematical models are increasingly used in ecological risk assessment, due to the rise in demand for ecological realism in regulatory risk assessment (Forbes et al., ). Models are conveniently used to upscale from individual level to population level (Beaudouin, Dias, Bonzom, & Péry, ; Beaudouin et al., ; Goussen et al., ; Martin et al., ). However, their development requires a large amount of data on the life cycle of the organisms (Beaudouin et al., ; Goussen et al., ; Péry, Ducrot, Mons, & Garric, ).…”

Section: Introductionmentioning

confidence: 99%

“…DEB theory has been used to answer different questions in ecology of fishes: management in fisheries (Jusup, Klanjscek, Matsuda, & Kooijman, ), prediction of the growth and reproduction during spawning migration (Einarsson, Birnir, & Sigurosson, ; Pecquerie, Petitgas, & Kooijman, ) or under different environmental conditions (Rinaldi et al., ), and comparison of life strategies between species (Freitas et al., ; Pecquerie, Johnson, Kooijman, & Nisbet, ; van der Veer, Kooijman, & van der Meer, ). Moreover, nesting a DEB model within a population dynamics model provides realistic descriptions and predictions of population dynamics, especially when populations are facing food limitations (Beaudouin et al., ).…”

Section: Introductionmentioning

confidence: 99%

A bioenergetics model of the entire life cycle of the three‐spined stickleback, gasterosteus aculeatus

Leloutre

Péry

Porcher

et al. 2016

Ecology of Freshwater Fish

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A whole life‐cycle bioenergetic model based on the dynamic energy budget (DEB) theory was proposed for the three‐spined stickleback (Gasterosteus aculeatus). To develop this model, experiments on growth and reproduction were performed: adult and juvenile growth, size at first reproduction and amount of eggs spawned by females were monitored under different feeding levels and temperatures. The DEB parameters were estimated, using Bayesian statistics, based on the data produced during these experiments and on other data found in the literature. The model fitted accurately the different data used for the calibration process and, in addition, predicted accurately the data sets used to assess its predictability. Our bioenergetic model of the whole life cycle of the three‐spined stickleback accounting for environmental variations could contribute in many ways to improved ecological assessment: supporting change of scale from individual to populations; developing new biomarkers of exposure and effect; analysing ecotoxicity tests with biology‐based models.

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“…DEB has been used extensively to describe and predict life histories under different natural scenarios910 and under toxicant stress1511. The generic rules of DEB apply to energy flow in all organisms, and such models can be adapted and applied to any species.…”

mentioning

confidence: 99%

Using energy budgets to combine ecology and toxicology in a mammalian sentinel species

Desforges

Sonne

Dietz

2017

Sci Rep

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Process-driven modelling approaches can resolve many of the shortcomings of traditional descriptive and non-mechanistic toxicology. We developed a simple dynamic energy budget (DEB) model for the mink (Mustela vison), a sentinel species in mammalian toxicology, which coupled animal physiology, ecology and toxicology, in order to mechanistically investigate the accumulation and adverse effects of lifelong dietary exposure to persistent environmental toxicants, most notably polychlorinated biphenyls (PCBs). Our novel mammalian DEB model accurately predicted, based on energy allocations to the interconnected metabolic processes of growth, development, maintenance and reproduction, lifelong patterns in mink growth, reproductive performance and dietary accumulation of PCBs as reported in the literature. Our model results were consistent with empirical data from captive and free-ranging studies in mink and other wildlife and suggest that PCB exposure can have significant population-level impacts resulting from targeted effects on fetal toxicity, kit mortality and growth and development. Our approach provides a simple and cross-species framework to explore the mechanistic interactions of physiological processes and ecotoxicology, thus allowing for a deeper understanding and interpretation of stressor-induced adverse effects at all levels of biological organization.

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An Individual-Based Model of Zebrafish Population Dynamics Accounting for Energy Dynamics

Cited by 40 publications

References 57 publications

Integrated presentation of ecological risk from multiple stressors

Integrated presentation of ecological risk from multiple stressors

A bioenergetics model of the entire life cycle of the three‐spined stickleback, gasterosteus aculeatus

Using energy budgets to combine ecology and toxicology in a mammalian sentinel species

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