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

The Q10 temperature coefficient, which is widely used in scientific literature, is a measure of the temperature sensitivity of chemical reaction rates or biological processes. However, the conclusions drawn from applying this coefficient to experimental data obtained from biological processes are no...

Full description

Bibliographic Details
Published in:Ecological Modelling
Main Authors: Mundim, Kleber C., Baraldi, Solange, Machado, Hugo G., Vieira, Fernando M.C.
Format: Article in Journal/Newspaper
Language:English
Published: Elsevier 2020
Subjects:
Online Access:https://oceanrep.geomar.de/id/eprint/52093/
https://oceanrep.geomar.de/id/eprint/52093/1/Mundim.pdf
https://doi.org/10.1016/j.ecolmodel.2020.109127
id ftoceanrep:oai:oceanrep.geomar.de:52093
record_format openpolar
spelling ftoceanrep:oai:oceanrep.geomar.de:52093 2023-05-15T15:10:06+02:00 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. 2020-09 text https://oceanrep.geomar.de/id/eprint/52093/ https://oceanrep.geomar.de/id/eprint/52093/1/Mundim.pdf https://doi.org/10.1016/j.ecolmodel.2020.109127 en eng Elsevier https://oceanrep.geomar.de/id/eprint/52093/1/Mundim.pdf Mundim, K. C., Baraldi, S., Machado, H. G. and Vieira, F. M. C. (2020) Temperature coefficient (Q10) and its applications in biological systems: beyond the Arrhenius theory. Ecological Modelling, 431 . Art.-Nr.: 109127. DOI 10.1016/j.ecolmodel.2020.109127 <https://doi.org/10.1016/j.ecolmodel.2020.109127>. doi:10.1016/j.ecolmodel.2020.109127 info:eu-repo/semantics/restrictedAccess Article PeerReviewed 2020 ftoceanrep https://doi.org/10.1016/j.ecolmodel.2020.109127 2023-04-07T15:55:00Z The Q10 temperature coefficient, which is widely used in scientific literature, is a measure of the temperature sensitivity of chemical reaction rates or biological processes. However, the conclusions drawn from applying this coefficient to experimental data obtained from biological processes are not universal. In many biological processes, Q10 values are often discordant with the results predicted by the Arrhenius law. The hypothesis tested in the present study is that this problem arises mainly from the fact that the Q10 coefficient is defined by the ratio between rates described by exponential laws instead of power laws. Considering this hypothesis and the need to review the mathematical laws and models currently used to describe rates and Q10 coefficients, we propose a model beyond the usual Arrhenius theory or exponential decay law herein. The proposed mathematical model is based on the theory of deformed exponential functions, with the ordinary Q10 model representing the conventional exponential function. Therefore, all results following the standard model remain valid. Moreover, we include a Q10 free open-source code, written in Python, and compatible with Windows, Linux and macOS platforms. The validation of the proposed model and confirmation of the given hypothesis were performed based on the following temperature-dependent biological processes: soil organic carbon (SOC) decomposition (which is essential to forecast the impact of climate change on terrestrial ecosystems); the metabolism of Arctic zooplankton; physiological processes of the respiratory and cardiovascular systems; rate of oxygen consumption in mitochondria of the eurythermal killifish Fundulus heteroclitus, and leaf respiration. Article in Journal/Newspaper Arctic Climate change Zooplankton OceanRep (GEOMAR Helmholtz Centre für Ocean Research Kiel) Arctic Ecological Modelling 431 109127
institution Open Polar
collection OceanRep (GEOMAR Helmholtz Centre für Ocean Research Kiel)
op_collection_id ftoceanrep
language English
description The Q10 temperature coefficient, which is widely used in scientific literature, is a measure of the temperature sensitivity of chemical reaction rates or biological processes. However, the conclusions drawn from applying this coefficient to experimental data obtained from biological processes are not universal. In many biological processes, Q10 values are often discordant with the results predicted by the Arrhenius law. The hypothesis tested in the present study is that this problem arises mainly from the fact that the Q10 coefficient is defined by the ratio between rates described by exponential laws instead of power laws. Considering this hypothesis and the need to review the mathematical laws and models currently used to describe rates and Q10 coefficients, we propose a model beyond the usual Arrhenius theory or exponential decay law herein. The proposed mathematical model is based on the theory of deformed exponential functions, with the ordinary Q10 model representing the conventional exponential function. Therefore, all results following the standard model remain valid. Moreover, we include a Q10 free open-source code, written in Python, and compatible with Windows, Linux and macOS platforms. The validation of the proposed model and confirmation of the given hypothesis were performed based on the following temperature-dependent biological processes: soil organic carbon (SOC) decomposition (which is essential to forecast the impact of climate change on terrestrial ecosystems); the metabolism of Arctic zooplankton; physiological processes of the respiratory and cardiovascular systems; rate of oxygen consumption in mitochondria of the eurythermal killifish Fundulus heteroclitus, and leaf respiration.
format Article in Journal/Newspaper
author Mundim, Kleber C.
Baraldi, Solange
Machado, Hugo G.
Vieira, Fernando M.C.
spellingShingle Mundim, Kleber C.
Baraldi, Solange
Machado, Hugo G.
Vieira, Fernando M.C.
Temperature coefficient (Q10) and its applications in biological systems: beyond the Arrhenius theory
author_facet Mundim, Kleber C.
Baraldi, Solange
Machado, Hugo G.
Vieira, Fernando M.C.
author_sort Mundim, Kleber C.
title Temperature coefficient (Q10) and its applications in biological systems: beyond the Arrhenius theory
title_short Temperature coefficient (Q10) and its applications in biological systems: beyond the Arrhenius theory
title_full Temperature coefficient (Q10) and its applications in biological systems: beyond the Arrhenius theory
title_fullStr Temperature coefficient (Q10) and its applications in biological systems: beyond the Arrhenius theory
title_full_unstemmed Temperature coefficient (Q10) and its applications in biological systems: beyond the Arrhenius theory
title_sort temperature coefficient (q10) and its applications in biological systems: beyond the arrhenius theory
publisher Elsevier
publishDate 2020
url https://oceanrep.geomar.de/id/eprint/52093/
https://oceanrep.geomar.de/id/eprint/52093/1/Mundim.pdf
https://doi.org/10.1016/j.ecolmodel.2020.109127
geographic Arctic
geographic_facet Arctic
genre Arctic
Climate change
Zooplankton
genre_facet Arctic
Climate change
Zooplankton
op_relation https://oceanrep.geomar.de/id/eprint/52093/1/Mundim.pdf
Mundim, K. C., Baraldi, S., Machado, H. G. and Vieira, F. M. C. (2020) Temperature coefficient (Q10) and its applications in biological systems: beyond the Arrhenius theory. Ecological Modelling, 431 . Art.-Nr.: 109127. DOI 10.1016/j.ecolmodel.2020.109127 <https://doi.org/10.1016/j.ecolmodel.2020.109127>.
doi:10.1016/j.ecolmodel.2020.109127
op_rights info:eu-repo/semantics/restrictedAccess
op_doi https://doi.org/10.1016/j.ecolmodel.2020.109127
container_title Ecological Modelling
container_volume 431
container_start_page 109127
_version_ 1766341153519566848