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Citation for Study 22185

Citation title: "Mass-independent maximal metabolic rate predicts geographic range size of placental mammals".

Study name: "Mass-independent maximal metabolic rate predicts geographic range size of placental mammals".

This study is part of submission 22185 (Status: Published).

Citation

Hayes J.P., Feldman C.R., & Araujo M.B. 2018. Mass-independent maximal metabolic rate predicts geographic range size of placental mammals. Functional Ecology, .

Authors

• Hayes J.P.
• Feldman C.R.
• Araujo M.B.

Abstract

1. Understanding the mechanisms driving geographic range sizes of species is a central issue in ecology, but remarkably few rules link physiology with the distributions of species. Maximal metabolic rate (MMR) during exercise is an important measure of physiological performance. It sets an upper limit to sustained activity and locomotor capacity, so MMR may influence ability to migrate, disperse, and maintain population connectivity. Using both conventional ordinary least squares (OLS) analyses and phylogenetically generalized least squares (PGLS), we tested whether MMR helps explain geographic range size in 51 species of placental mammals. 2. Log body mass alone (OLS r2 = 0.074, p = 0.053; PGLS r2 = 0.016, p = 0.373) and log MMR alone (OLS r2 = 0.140, p = 0.007; PGLS r2 = 0.061, p = 0.081) were weak predictors of log range size. 3. However, multiple regression of log body mass and log MMR accounted for over half of the variation in log range size (OLS R2 = 0.527, p < 0.001). The relationship was also strong after correcting for the phylogenetic non-independence (PGLS R2 = 0.417, p < 0.001). 4. In analyses restricted to rodents (34 species), neither log body mass alone (OLS r2 = 0.004, p = 0.720; PGLS r2 = 0.003, p = 0.77) nor log MMR alone was useful in predicting log geographic range size (OLS r2 = 0.008, p = 0.626; PGLS r2 = 0.046, p = 0.225), but multiple regressions of log body mass and log MMR accounted for roughly a third to a half of the variation in log range size (OLS R2= 0.443, p < 0.001, PGLS r2 = 0.381, p < 0.001). 5. Mass-independent MMR is a strong predictor of mass-independent geographic range size in placental mammals. The ability of body mass and MMR to explain nearly 50% of the variation in the geographic ranges of mammals is surprising and powerful, particularly when neither variable alone is strongly predictive. 6. A better understanding of MMR during exercise may be important to understanding the limits of geographic ranges of mammals, and perhaps other animal groups.

Keywords

aerobic capacity, biogeography, energetics, macrophysiology, MMR, VO2max

External links

About this resource

• Canonical resource URI: http://purl.org/phylo/treebase/phylows/study/TB2:S22185
• Other versions: Nexus NeXML
• Show BibTeX reference

  		@ARTICLE{TreeBASE2Ref28066,
  	 author = {Jack P Hayes and Chris R Feldman and Miguel Bastos Araujo},
  	 title = {Mass-independent maximal metabolic rate predicts  geographic range size of placental mammals},
  	 year = {2018},
  	 keywords = {aerobic capacity, biogeography, energetics, macrophysiology, MMR, VO2max},
  	 doi = {},
  	 url = {http://},
  	 pmid = {},
  	 journal = {Functional Ecology},
  	 volume = {},
  	 number = {},
  	 pages = {},
  	 abstract = {1.	Understanding the mechanisms driving geographic range sizes of species is a central issue in ecology, but remarkably few rules link physiology with the distributions of species. Maximal metabolic rate (MMR) during exercise is an important measure of physiological performance.  It sets an upper limit to sustained activity and locomotor capacity, so MMR may influence ability to migrate, disperse, and maintain population connectivity. Using both conventional ordinary least squares (OLS) analyses and phylogenetically generalized least squares (PGLS), we tested whether MMR helps explain geographic range size in 51 species of placental mammals. 
  2.	Log body mass alone (OLS r2 = 0.074, p = 0.053; PGLS r2 = 0.016, p = 0.373) and log MMR alone (OLS r2 = 0.140, p = 0.007; PGLS r2 = 0.061, p = 0.081) were weak predictors of log range size.
  3.	However, multiple regression of log body mass and log MMR accounted for over half of the variation in log range size (OLS R2 = 0.527, p < 0.001).  The relationship was also strong  after correcting for the phylogenetic non-independence (PGLS R2 = 0.417, p < 0.001). 
  4.	In analyses restricted to rodents (34 species), neither log body mass alone (OLS r2 = 0.004, p = 0.720; PGLS r2 = 0.003, p = 0.77) nor log MMR alone was useful in predicting log geographic range size (OLS r2 = 0.008, p = 0.626; PGLS r2 = 0.046, p = 0.225), but multiple regressions of log body mass and log MMR accounted for roughly a third to a half of the variation in log range size (OLS R2= 0.443, p < 0.001, PGLS r2 = 0.381, p < 0.001). 
  5.	Mass-independent MMR is a strong predictor of mass-independent geographic range size in placental mammals. The ability of body mass and MMR to explain nearly 50% of the variation in the geographic ranges of mammals is surprising and powerful, particularly when neither variable alone is strongly predictive.  
  6.	A better understanding of MMR during exercise may be important to understanding the limits of geographic ranges of mammals, and perhaps other animal groups.}
  }
  		

• Show RIS reference

  		TY  - JOUR
  ID  - 28066
  AU  - Hayes,Jack P
  AU  - Feldman,Chris R
  AU  - Araujo,Miguel Bastos
  T1  - Mass-independent maximal metabolic rate predicts  geographic range size of placental mammals
  PY  - 2018
  KW  - aerobic capacity
  KW  - biogeography
  KW  - energetics
  KW  - macrophysiology
  KW  - MMR
  KW  - VO2max
  UR  - http://dx.doi.org/
  N2  - 1.	Understanding the mechanisms driving geographic range sizes of species is a central issue in ecology, but remarkably few rules link physiology with the distributions of species. Maximal metabolic rate (MMR) during exercise is an important measure of physiological performance.  It sets an upper limit to sustained activity and locomotor capacity, so MMR may influence ability to migrate, disperse, and maintain population connectivity. Using both conventional ordinary least squares (OLS) analyses and phylogenetically generalized least squares (PGLS), we tested whether MMR helps explain geographic range size in 51 species of placental mammals. 
  2.	Log body mass alone (OLS r2 = 0.074, p = 0.053; PGLS r2 = 0.016, p = 0.373) and log MMR alone (OLS r2 = 0.140, p = 0.007; PGLS r2 = 0.061, p = 0.081) were weak predictors of log range size.
  3.	However, multiple regression of log body mass and log MMR accounted for over half of the variation in log range size (OLS R2 = 0.527, p < 0.001).  The relationship was also strong  after correcting for the phylogenetic non-independence (PGLS R2 = 0.417, p < 0.001). 
  4.	In analyses restricted to rodents (34 species), neither log body mass alone (OLS r2 = 0.004, p = 0.720; PGLS r2 = 0.003, p = 0.77) nor log MMR alone was useful in predicting log geographic range size (OLS r2 = 0.008, p = 0.626; PGLS r2 = 0.046, p = 0.225), but multiple regressions of log body mass and log MMR accounted for roughly a third to a half of the variation in log range size (OLS R2= 0.443, p < 0.001, PGLS r2 = 0.381, p < 0.001). 
  5.	Mass-independent MMR is a strong predictor of mass-independent geographic range size in placental mammals. The ability of body mass and MMR to explain nearly 50% of the variation in the geographic ranges of mammals is surprising and powerful, particularly when neither variable alone is strongly predictive.  
  6.	A better understanding of MMR during exercise may be important to understanding the limits of geographic ranges of mammals, and perhaps other animal groups.
  L3  - 
  JF  - Functional Ecology
  VL  - 
  IS  - 
  ER  -