Interspecific allometry of population density in mammals and other animals: the independence of body mass and population energy-use

1987 ◽  
Vol 31 (3) ◽  
pp. 193-246 ◽  
Author(s):  
JOHN DAMUTH
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Stuti Haldar ◽  
Gautam Sharma

Purpose The purpose of this study is to investigate the impacts of urbanization on per capita energy consumption and emissions in India. Design/methodology/approach The present study analyses the effects of urbanization on energy consumption patterns by using the Stochastic Impacts by Regression on Population, Affluence and Technology in India. Time series data from the period of 1960 to 2015 has been considered for the analysis. Variables including Population, GDP per capita, Energy intensity, share of industry in GDP, share of Services in GDP, total energy use and urbanization from World Bank data sources have been used for investigating the relationship between urbanization, affluence and energy use. Findings Energy demand is positively related to affluence (economic growth). Further the results of the analysis also suggest that, as urbanization, GDP and population are bound to increase in the future, consequently resulting in increased carbon dioxide emissions caused by increased energy demand and consumption. Thus, reducing the energy intensity is key to energy security and lower carbon dioxide emissions for India. Research limitations/implications The study will have important policy implications for India’s energy sector transition toward non- conventional, clean energy sources in the wake of growing share of its population residing in urban spaces. Originality/value There are limited number of studies considering the impacts of population density on per capita energy use. So this study also contributes methodologically by establishing per capita energy use as a function of population density and technology (i.e. growth rates of industrial and service sector).


Author(s):  
Andri Wibowo

Astragalus bone is one of the most important fossil records as it can reconstruct the prehistoric life. Respectively, this study aims to model the body mass, habitat preference, and population density of prehistoric bovid Duboisia santeng (Dubois 1891) in eastern Java island in the early Pleistocene. The astragali from 9 specimens were used to estimate the body mass and population density. Likewise regression models are used to analyze the relationship between astragalus lateral length, width, and body mass compared to the astragalus of extant Bovid species. The result revealed the body mass average was 60.3 kg (95%CI: 58.9-61.7) and this indicates the D. santeng belongs to large herbivores. While the population density was estimated at about 5.39 individuals per km2 (95% CI: 3.18-7.6).


2014 ◽  
Vol 112 (6) ◽  
pp. 1791-1796 ◽  
Author(s):  
Clément Lagrue ◽  
Robert Poulin ◽  
Joel E. Cohen

How do the lifestyles (free-living unparasitized, free-living parasitized, and parasitic) of animal species affect major ecological power-law relationships? We investigated this question in metazoan communities in lakes of Otago, New Zealand. In 13,752 samples comprising 1,037,058 organisms, we found that species of different lifestyles differed in taxonomic distribution and body mass and were well described by three power laws: a spatial Taylor’s law (the spatial variance in population density was a power-law function of the spatial mean population density); density-mass allometry (the spatial mean population density was a power-law function of mean body mass); and variance-mass allometry (the spatial variance in population density was a power-law function of mean body mass). To our knowledge, this constitutes the first empirical confirmation of variance-mass allometry for any animal community. We found that the parameter values of all three relationships differed for species with different lifestyles in the same communities. Taylor's law and density-mass allometry accurately predicted the form and parameter values of variance-mass allometry. We conclude that species of different lifestyles in these metazoan communities obeyed the same major ecological power-law relationships but did so with parameters specific to each lifestyle, probably reflecting differences among lifestyles in population dynamics and spatial distribution.


2017 ◽  
Vol 63 (1) ◽  
pp. 91-98 ◽  
Author(s):  
Katarina Flajšman ◽  
Tomasz Borowik ◽  
Boštjan Pokorny ◽  
Bogumiła Jędrzejewska

2013 ◽  
Vol 13 (1) ◽  
Author(s):  
Simo Näyhä ◽  
Tiina Lankila ◽  
Arja Rautio ◽  
Markku Koiranen ◽  
Tuija H Tammelin ◽  
...  

2001 ◽  
Vol 79 (9) ◽  
pp. 1634-1640 ◽  
Author(s):  
K Shawn Smallwood

The relationship between body mass and population density has been used to develop theory of how energy is used in ecosystems. The usual allometric density slope, –0.75, was reduced to near zero among species of mammalian Carnivora after Smallwood and Schonewald and Blackburn and Gaston adjusted density estimates by the sizes of the corresponding study areas. In this paper, I restricted the allometric analysis to density estimates made at or near the threshold area, which is the species-specific minimum area likely to support a population. I excluded densities estimated from subpopulations and "megapopulations", thereby removing biases of study design that had previously confused the allometry of population density. Density at threshold area declined with increasing body mass. The population's mass density did not relate to threshold area, within which carnivore species averaged 9 kg/km2. The spatial intensity of oxygen consumption did not relate to body mass, but assuming that species with smaller threshold areas occur at more locations than species with larger threshold areas, one must conclude that smaller bodied species use more energy from the environment than do larger bodied species. Furthermore, threshold area and density at threshold area were most responsive to female brain mass, which provides an ecological allometry that links spatial scale, sensory perception, parental care, life-history attributes, basal metabolic rate, and body mass.


1999 ◽  
Vol 77 (1) ◽  
pp. 132-138 ◽  
Author(s):  
G V Hilderbrand ◽  
C C Schwartz ◽  
C T Robbins ◽  
M E Jacoby ◽  
T A Hanley ◽  
...  

We hypothesized that the relative availability of meat, indicated by contribution to the diet, would be positively related to body size and population productivity of North American brown, or grizzly, bears (Ursus arctos). Dietary contributions of plant matter and meat derived from both terrestrial and marine sources were quantified by stable-isotope analysis (δ13C and δ15N) of hair samples from 13 brown bear populations. Estimates of adult female body mass, mean litter size, and population density were obtained from two field studies of ours and from other published reports. The populations ranged from largely vegetarian to largely carnivorous, and food resources ranged from mostly terrestrial to mostly marine (salmon, Oncorhynchus spp.). The proportion of meat in the diet was significantly correlated with mean adult female body mass (r = 0.87, P < 0.01), mean litter size (r = 0.72, P < 0.01), and mean population density (r = 0.91, P < 0.01). Salmon was the most important source of meat for the largest, most carnivorous bears and most productive populations. We conclude that availability of meat, particularly salmon, greatly influences habitat quality for brown bears at both the individual level and the population level.


2005 ◽  
Vol 39 (1) ◽  
pp. 59-78 ◽  
Author(s):  
JOHN KOMLOS ◽  
BENJAMIN E. LAUDERDALE

Aiming to further explore possible underlying causes of the recent remarkable stagnation and relative decline in American heights, this paper describes the result of analysis of the commercial US Sizing Survey (2002). Heights are correlated positively with income and education among both white males and females while Body Mass Index (BMI) is correlated negatively among females, as in other samples. In contrast to much of the literature, this paper considers geographic correlates of height such as local poverty rate, median income and population density at the zip code level of resolution. After adjusting for confounding factors that influence height such as income and education, population density is found to be strongly and negatively correlated with height among white men, but less so among white women. The effect on BMIs less convincing. Other ethnic groups are not analysed in detail because of the small number of observations available. Local economic conditions as measured by median income, unemployment and poverty rate do not have a strong correlation with height or BMI after adjusting for individual income and education.


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