Effects of body mass, temperature, and season on resting metabolism of the nocturnal geckoHemidactylus flaviviridis

1997 ◽  
Vol 14 (1) ◽  
pp. 77-86 ◽  
Author(s):  
Talal A. Zari
1985 ◽  
Vol 117 (1) ◽  
pp. 1-14 ◽  
Author(s):  
SHIN OIKAWA ◽  
YASUO ITAZAWA

The relationships of resting metabolism per unit mass of body to gill and body surface areas were examined by measuring gill, body surface and fin areas of carp ranging from 0.0016 to 2250g. There was a triphasic allometry for the relationship between gill area and body mass: during the prelarval (0.0016–0.003 g) and postlarval (0.003–0.2g) stages there was a positive allometry (slopes of 7.066 and 1.222, respectively), during the juvenile and later stages (0.2–2250 g) there was a negative allometry with a slope of 0.794. There was a diphasic negative allometry for the relationship between surface area of the body or the fins and body mass, with a slope of 0.596 or 0.523 during the larval stage and 0.664 or 0.724 during the juvenile and later stages, respectively. Except for the 3rd phase (juvenile to adult) of gill area, these slopes were significantly different (P<0.01) from the slope for the relationship between resting metabolism and body mass of intact carp (0.84; value from Winberg, 1956). It is considered, therefore, that gill, body surface and fin areas do not directly regulate the resting metabolism of the fish, in the larval stage at least.


1982 ◽  
Vol 115 (4) ◽  
pp. 391-395 ◽  
Author(s):  
RICKI J. HURST ◽  
NILS A. ØRITSLAND ◽  
PAUL D. WATTS

2021 ◽  
Author(s):  
Sebastián A. Pardo ◽  
Nicholas K. Dulvy

AbstractAn important challenge in ecology is to understand variation in species’ maximum intrinsic rate of population increase,rmax, not least becausermaxunderpins our understanding of the limits of fishing, recovery potential, and ultimately extinction risk. Across many vertebrates, terrestrial and aquatic, body mass and environmental temperature across important correlatesrmaxacross species. In sharks and rays, specifically,rmaxis known be lower in larger species, but also in deep-sea ones. We use an information-theoretic approach that accounts for phylogenetic relatedness to evaluate the relative importance of body mass, temperature and depth onrmax. We show that both temperature and depth have separate effects on shark and rayrmaxestimates, such that species living in deeper waters have lowerrmax. Furthermore, temperature also correlates with changes in the mass scaling coefficient, suggesting that as body size increases, decreases inrmaxare much steeper for species in warmer waters. These findings suggest that there (as-yet understood) depth-related processes that limit the maximum rate at which populations can grow in deep sea sharks and rays. While the deep ocean is associated with colder temperatures, other factors that are independent of temperature, such as food availability and physiological constraints, may influence the lowrmaxobserved in deep sea sharks and rays. Our study lays the foundation for predicting the intrinsic limit of fishing, recovery potential, and extinction risk species based on easily accessible environmental information such as temperature and depth, particularly for data-poor species.


2020 ◽  
Vol 223 (19) ◽  
pp. jeb215384
Author(s):  
Alexander R. Gerson ◽  
Joely G. DeSimone ◽  
Elizabeth C. Black ◽  
Morag F. Dick ◽  
Derrick J. Groom

ABSTRACTMigratory birds catabolize large quantities of protein during long flights, resulting in dramatic reductions in organ and muscle mass. One of the many hypotheses to explain this phenomenon is that decrease in lean mass is associated with reduced resting metabolism, saving energy after flight during refueling. However, the relationship between lean body mass and resting metabolic rate remains unclear. Furthermore, the coupling of lean mass with resting metabolic rate and with peak metabolic rate before and after long-duration flight have not previously been explored. We flew migratory yellow-rumped warblers (Setophaga coronata) in a wind tunnel under one of two humidity regimes to manipulate the rate of lean mass loss in flight, decoupling flight duration from total lean mass loss. Before and after long-duration flights, we measured resting and peak metabolism, and also measured fat mass and lean body mass using quantitative magnetic resonance. Flight duration ranged from 28 min to 600 min, and birds flying under dehydrating conditions lost more fat-free mass than those flying under humid conditions. After flight, there was a 14% reduction in resting metabolism but no change in peak metabolism. Interestingly, the reduction in resting metabolism was unrelated to flight duration or to change in fat-free body mass, indicating that protein metabolism in flight is unlikely to have evolved as an energy-saving measure to aid stopover refueling, but metabolic reduction itself is likely to be beneficial to migratory birds arriving in novel habitats.


Ecosphere ◽  
2017 ◽  
Vol 8 (4) ◽  
Author(s):  
Jan Engel ◽  
Lionel Hertzog ◽  
Julia Tiede ◽  
Cameron Wagg ◽  
Anne Ebeling ◽  
...  

2008 ◽  
Vol 39 (14) ◽  
pp. 1562-1568 ◽  
Author(s):  
Jiang Ai-li ◽  
Guo Jin-li ◽  
Cai Wen-gui ◽  
Wang Chang-hai

2021 ◽  
Vol 7 (3D) ◽  
pp. 552-564
Author(s):  
Pawandeep Kaur ◽  
Nishan Singh Deol

This study aimed to investigate the evaluation of body mass index and resting metabolism of sedentary and active elderly men from Punjab, India. Methods: Participants (N = 180) of the sedentary group (N = 90) and active group (N = 90) elderly people from Punjab were selected to act as study subjects. The study was delimited to sedentary and active male elderly, recruited between 60 and 70, 71 to 80 and 81 to 90 years, respectively. Results: The results of the studies in both variables found that there was a statistically significant difference in both variables with p-value of body mass index 0.02 (P <0.05) and p value of resting metabolism was 0.03 (P <0.05) of active and sedentary male elderly adults. Conclusion: In conclusion, the study revealed that, for people who practice moderate or vigorous physical activities, body mass index and resting metabolism change with aging.


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