The effect of BMR on lifespan
Abstract
Background
A brief background on previous BMR and lifespan studies. Hypotheses: in general, about correlations and differences regarding quaardvark data tested. Furthermore, a significant correlation will be found between BMR and the lifespan of birds and mammals.
Purpose: Determine if a significant correlation exists between BMR, mass-specific BMR and lifespan in birds or mammals.
Deffine BMR (Frothingham 2018). Define mass-specific BMR (Muller et al. 2011).
Methods
Quaardvark, excel
Results
Major results of statistical analysis excluding, specific numerical data. (Yes or no if any correlations were found, etc.).
Introduction
Problem
Hypothesis
Background
Aproach
Background on influences on BMR (Glazier 2008).Environmental factors known to influence BMR (White et al. 2006).
Background on BMR and lifespan research (Glazier 2008).
Pose specific questions to be addressed in experiment.
Restate all specific hypotheses used for data analysis. (There will be a positive linear correlation between body mass and BMR for both birds and mammals, etc.)
This data will be analyzed to determine if any correlations, similarities, and differences exist where appropriate for both classes of animal.
Results
Discussion
Methods
Subjects
Materials
Design
Procedure
Dependent variable: BMR and Mass specific BMR in relation to average body mass. Dependent variable: Mass wwhen compared with wingspan in birds . Dependent variable: lifespan in relation to mass-specific BMR.
Non-gender specific mass and BMR data used for class aves and class mammalia.
Quaardvark- data
Excel- data analysis
Calculation of mass-specific BMR. Data analysis: regression for correlations. Graph: scatter plot.
t-tests to determine significant differences of mass,BMR, and mass-specific BMR. Graph: bar graph.
Quaardvark data extraction
Figures
Tables
Paragraphs
Reference figures of correlations- report R^2 values
Reference table showing t-test results- report only p-values, t-critical, and t-stat.
Figures show all regressions (correlations).
Table shows significant statistics from t-table. (t-stat, t-critical, p values).
Second Paragraph
Final Concluding Paragraph
First Paragraph
Conclusion of correlations. (All strong except no significance between BMR and lifespan).
R^2 values all significant. (Well over 0.5).
Results of significant differences. t-critical, and p values. (all < 0.05). All null hypotheses stating no significant differences will be found are rejected.
Similar results have been found (Hayssen 1985).
Limitation: Only two classes investigated.
Restate major findings and what they mean in relation to lifespan and real world applications these results have. Ex: studying animals in the wild or using this information to better care for those in captivity.
Significance of previous studies like these (Glazier 2008).
Cited Literature
Frothingham S. What is basal metabolic rate? Healthline [internet]. 2018 [Cited June 24, 2020]. Available from: https://www.healthline.com/health/what-is-basal-metabolic-rate
Hayssen V, Lacy R. Basal metabolic rates in mammals: Taxonomic differences in the allometry of BMR and body mass. Comparative Biochemistry and Physiology Part A: Physiology [internet]. 1985 [Cited June 24, 2020]; 81(4): 741-754. Available from: https://www.sciencedirect.com/science/article/abs/pii/0300962985909041
Glazier D. Effects of Metabolic Level on the Body Size Scaling of Metabolic Rate in Birds and
Mammals. Proceedings: Biological Sciences [internet]. 2008 [cited June 24, 2020]. Vol. 275. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2602708/
White R. Determinants of inter-specific variation in basal metabolic rate. J Comp Physiol [internet]. 2013 [cited June 24, 2020]; 183:1–26. Available from: http://zoologie.bio.lmu.de/teaching/vorlesungen/white_kearney_2013.pdf