Metabolic rates of epipelagic marine copepods as a function of body mass and temperature

Ikeda, Tsutomu; Kanno, Yukiko; Ozaki, K.; Shinada, Akiyoshi

doi:10.1007/s002270100608

Cited by 336 publications

(244 citation statements)

References 31 publications

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“…For each group, the value of qN in the last column of Table 1 was calculated using the mean value of q, the corresponding N/DM ratio, and DM/WM ϭ 0.3. Nonendothermic q values obtained at different temperatures T (°C) were transformed to 25°C, q25 ϭ q ϫ Q 10 (25ϪT)/(10°C) , using Q10 ϭ 1.65, 2.21, and 2.44 for fish, amphibians, and reptiles, respectively (7); Q 10 ϭ 2.5 for cephalopods (9); Q10 ϭ 1.4 for macroalgae as determined for species studied here (Dataset S9); a variable Q10 based on measurement temperature for higher plants and leaves (17,25); and Q10 ϭ 2 for other ectotherm groups (8,19,48,49). No temperature adjustments of metabolic rates were performed for endothermic vertebrates that do not live at body temperatures of 25°C.…”

Section: Methodsmentioning

confidence: 99%

Mean mass-specific metabolic rates are strikingly similar across life's major domains: Evidence for life's metabolic optimum

Makarieva

Gorshkov

et al. 2008

Proc. Natl. Acad. Sci. U.S.A.

300

381

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A fundamental but unanswered biological question asks how much energy, on average, Earth's different life forms spend per unit mass per unit time to remain alive. Here, using the largest database to date, for 3,006 species that includes most of the range of biological diversity on the planet-from bacteria to elephants, and algae to sapling trees-we show that metabolism displays a striking degree of homeostasis across all of life. We demonstrate that, despite the enormous biochemical, physiological, and ecological differences between the surveyed species that vary over 10 20 -fold in body mass, mean metabolic rates of major taxonomic groups displayed at physiological rest converge on a narrow range from 0.3 to 9 W kg ؊1 . This 30-fold variation among life's disparate forms represents a remarkably small range compared with the 4,000-to 65,000-fold difference between the mean metabolic rates of the smallest and largest organisms that would be observed if life as a whole conformed to universal quarterpower or third-power allometric scaling laws. The observed broad convergence on a narrow range of basal metabolic rates suggests that organismal designs that fit in this physiological window have been favored by natural selection across all of life's major kingdoms, and that this range might therefore be considered as optimal for living matter as a whole.allometry ͉ body size ͉ breathing ͉ scaling ͉ energy consumption T he process of life is critically dependent on consumption of energy from the environment. The amount of energy-per unit time per unit mass-required to sustain life can rightfully be considered one of the fundamental questions in biology. Yet a general quantitative answer to this question is lacking, despite the long history and the considerable number of studies devoted to various aspects of organismal energetics in all fields of bioscience. One reason for this persistent knowledge gap is that this fundamental question is typically approached in markedly different ways depending on the organisms being investigated. We show herein how differences in types, protocols, and units of measurements of metabolism have presented a challenge to the development of quantitative generalizations regarding the metabolic rates of organisms. We then use a comprehensive dataset to reconcile such differences and to characterize the remarkable similarity that emerges from comparisons of mass-specific metabolic rates across all of life. Problem SettingStudies of animal energetics have frequently focused on the allometric relationship between the whole-body metabolic rate Q and body mass M, Q ϭ Q 0 (M/M 0 ) b , where Q 0 is metabolic rate of an organism with body mass M 0 . Either M 0 or Q 0 can be chosen arbitrarily, whereas the second of these parameters is unambiguously defined by the choice of the first one. Usually, M 0 is chosen to be one mass unit-e.g., M 0 ϭ 1 g. For the mass-specific metabolic rate q ' Q/M, we have q ϭ q 0 (M/M 0 ) ␤ , ␤ ϭ b Ϫ 1, q 0 ϭ Q 0 /M 0 . Much of the current debate concerns the value of b, an...

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Section: Methodsmentioning

confidence: 99%

Mean mass-specific metabolic rates are strikingly similar across life's major domains: Evidence for life's metabolic optimum

Makarieva

Gorshkov

et al. 2008

Proc. Natl. Acad. Sci. U.S.A.

300

381

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“…Only under low TS conditions are bacteria correlated to biogenes, therefore a high TS concentration seemed to autonomize the bacteria to biogenes. Virtually all aspects of physiology, including grazing (Kiørboe et al, 1982;Houde and Roman, 1987), respiration (Ikeda, 1985;Thor et al, 2002), timing of reproduction and onthogenetic development (Dell et al, 2011), are impacted by temperature. As temperature directly interacts in reducing or enhancing the metabolism and reproduce rates (Green, 1966;Frey, 1982;Gillooly and Dodson, 2000;de Eyto and Irvine, 2001), it has multiple indirect effects on aquatic communities' habitats by altering food resources.…”

Section: Contribution Of Environmental Factors To Food Web Relationsmentioning

confidence: 99%

Indirect effect of environmental factors on interactions between microbial and classical food webs in freshwater ecosystems

Adamczuk

Mieczan

Nawrot

et al. 2015

Ann. Limnol. - Int. J. Lim.

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-The role of environmental factors in aquatic ecosystems results from basic lake characteristics, human disturbances ('cultural eutrophication') and climate-related trends in the physical and chemical components of lakes. Although the influence of environmental factors on the abundance of aquatic animals is fairly well documented, less has been done to research their influence on food web interactions. The aim of the study was to evaluate microbial and classical food webs in lakes, with special emphasis placed on the role of environmental factors as influencing strengths. Variation partitioning, based on redundancy analysis, revealed that environmental factors played the most important role in structuring aquatic communities by accounting for 87.5% of their variation. Among all the factors measured, total solids (TS), transparency (Secchi disc) and temperature were most closely related to the variation in trophic communities. The analyses of food web interactions under low and high levels of those factors revealed that they differently influenced strengths among food web components. The strongest relations among distinct trophic levels were found under conditions of low TS, the lowest number of relations was found under conditions of low temperature. Only in low TS did bacteria correlate significantly with biogenes. Under high TS, bacteria positively influenced plenty of higher trophic levels. Top-down control was observed under conditions of high temperature. Conditions of low and high transparency did not diversify food web interactions. The obtained results can broaden our knowledge of the response of food webs to environmental factors in advanced stages of global eutrophication of water bodies and in the early stage of projected trends of global climate change.

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“…The signal of upwelling probably appeared by considering the subduction process of cool water from open waters to coastal water (Figure 2a). Temperature likely effected metabolic rate of organism (Ikeda et al, 2001). High temperature water likely increased a number of zooplankton, especially copepod (Southward et al, 1995).…”

Section: Discussionmentioning

confidence: 99%

“…An increase in salinity led to an increase in number of zooplankton (Vuorinen et al, 1998) and also generated stress level (Gaudy et al, 2000).As the longitudinal profile showed the movement of the high salinity waters to deeper water and filled by low saline water from the ocean (Figure 2b). The studies stated that the differences of consumption rate of copepod as herbivores and carnivores by 65% and 310% of their body weight (Ikeda et al, 2001;McKinnon et al, 2005).…”

Section: Discussionmentioning

confidence: 99%

The Distribution and Abundance of Decapod and Fish Communities in Cleveland Bay, Australia

Prasetyo

Purwoko

2017

Indonesian Fisheries Research Journal

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Spatial and temporal variations in the fish and decapod communities were investigated at three stations in Cleveland Bay along with other zooplankton and phytoplankton communities. The linkage between biological assemblages and physical properties of the ocean was explained to develop better understanding of population dynamic of planktonic communities. Biological and physical properties data were gathered in 3 stations by 6 different trips. The results show that there is a significant association between daytime and tidal period to the abundance of planktonic communities (P < 0.05). Spatial distribution of fish and decapod communities are likely explained by "predator pit" and "match/mismatch" concepts to increase the survival probability along with physical properties of the ocean.

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Metabolic rates of epipelagic marine copepods as a function of body mass and temperature

Cited by 336 publications

References 31 publications

Mean mass-specific metabolic rates are strikingly similar across life's major domains: Evidence for life's metabolic optimum

Mean mass-specific metabolic rates are strikingly similar across life's major domains: Evidence for life's metabolic optimum

Indirect effect of environmental factors on interactions between microbial and classical food webs in freshwater ecosystems

The Distribution and Abundance of Decapod and Fish Communities in Cleveland Bay, Australia

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