Temperature coefficient (Q10) and its applications in biological systems: Beyond the Arrhenius theory

Mundim, Kleber C.; Baraldi, Solange; Machado, Hugo G.; Vieira, Fernando M. C.

doi:10.1016/j.ecolmodel.2020.109127

Cited by 50 publications

(30 citation statements)

References 81 publications

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“…These reactions regulate the body's temperature, metabolic rate, heart rate, and blood flow [12]. The coefficient Q10 is defined by Mundim et al [35] as the ratio of the rates of specific processes occurring at ten units of different temperatures (°C or K). According to Beamish [36] , as fish's oxygen consumption increases, their Q10 value decreases as they approach the temperature tolerance limit.…”

Section: Discussionmentioning

confidence: 99%

Temperature effect on heart rate performance of eel (Anguila bicolor)

Riyanto

Mawardi

Khoerunnisa

2022

IOP Conf. Ser.: Earth Environ. Sci.

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Temperature changes affect fish behavior, and it is one of the critical factors which influence fish survival. The optimum temperature of a species can be used to detect the presence of fish. The fish heart rate indicates the effect of temperature on fish physiology. This study aims to determine the effect of temperature on the fish heart rate and its recovery time. The study collected the heart rate data by observing 40 eels (Anguila bicolor ) measuring 36±0.30 cm and body weight <200 g at 21, 25, and 31°C. The heart rate was monitored by the electrocardiograph (ECG) technique. The results from video monitoring were calculated using frame-by-frame video analysis. The effect of the temperature on the heart rate and recovery time were processed using statistical analysis with a completely randomized design. The results showed that the eel heart rates at 21, 25, and 31°C were 40±1.61, 70±3.91, and 122±7.36 bpm, respectively. Temperature significantly affected (P<0.05) the eel heart rate with the lower Q10 values were 2.77 and 2.25. The eel heart rate recovery time at low temperature was more prolonged than at high temperature.

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Section: Discussionmentioning

confidence: 99%

Temperature effect on heart rate performance of eel (Anguila bicolor)

Riyanto

Mawardi

Khoerunnisa

2022

IOP Conf. Ser.: Earth Environ. Sci.

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“…However, they need to be modified when the system exhibits complexity due to hierarchical space and/or time structures. It is along this line that a generalization has been proposed based on nonadditive entropies [38], characterized by the index q (q = 1 recovers the BG frame): see for instance [16,[39][40][41][42][43]. It is along these same lines that lies the present q-generalization of the standard SEIR model.…”

Section: Application Of Q-seir Model To Covid-19 Pandemicsmentioning

confidence: 93%

Epidemiological model with anomalous kinetics - The Covid-19 pandemics

Tirnakli

Tsallis

2020

Preprint

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We generalize the phenomenological, law of mass action-like, SIR and SEIR epidemiological models to situations with anomalous kinetics. Specifically, the contagion and removal terms, normally linear in the fraction $I$ of infecteds, are taken to depend on $I^{\,q_{up}}$ and $I^{\,q_{down}}$, respectively. These dependencies can be understood as highly reduced effective descriptions of contagion via anomalous diffusion of susceptibles and infecteds in fractal geometries, and removal (i.e., recovery or death) via complex mechanisms leading to slowly decaying removal-time distributions. We obtain rather convincing fits to time series for both active cases and mortality with the same values of $(q_{up},q_{down})$ for a given country, suggesting that such aspects may in fact be present in the evolution of the Covid-19 pandemic. We also obtain approximate values for the effective population $N_{eff}$, which turns out to be a small percentage of the entire population $N$ for each country.

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“…However, they need to be modified when the system exhibits complexity due to hierarchical space and/or time structures. It is along this line that a generalization has been proposed based on nonadditive entropies [20], characterized by the index q (q 1 recovers the BG frame): see, for instance, [16,[39][40][41][42][43]. It is along these same lines that lies the present q-generalization of the standard SEIR model.…”

Section: Application Of Q-seir Model To Covid-19 Pandemicmentioning

confidence: 94%

Epidemiological Model With Anomalous Kinetics: Early Stages of the COVID-19 Pandemic

Tirnakli

Tsallis

2020

Front. Phys.

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We generalize the phenomenological, law of mass action-like, SIR and SEIR epidemiological models to situations with anomalous kinetics. Specifically, the contagion and removal terms, normally linear in the fraction I of infected people, are taken to depend on I qup and I qdown, respectively. These dependencies can be understood as highly reduced effective descriptions of contagion via anomalous diffusion of susceptible and infected people in fractal geometries and removal (i.e., recovery or death) via complex mechanisms leading to slowly decaying removal-time distributions. We obtain rather convincing fits to time series for both active cases and mortality with the same values of (qup,qdown) for a given country, suggesting that such aspects may in fact be present in the early evolution of the COVID-19 pandemic. We also obtain approximate values for the effective population Neff, which turns out to be a small percentage of the entire population N for each country.

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Temperature coefficient (Q10) and its applications in biological systems: Beyond the Arrhenius theory

Cited by 50 publications

References 81 publications

Temperature effect on heart rate performance of eel (Anguila bicolor)

Temperature effect on heart rate performance of eel (Anguila bicolor)

Epidemiological model with anomalous kinetics - The Covid-19 pandemics

Epidemiological Model With Anomalous Kinetics: Early Stages of the COVID-19 Pandemic

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