Life histories of birds: clutch size, longevity, and body mass among North American game birds

1986 ◽  
Vol 64 (12) ◽  
pp. 2739-2749 ◽  
Author(s):  
Richard M. Zammuto

Clutch size, longevity, and body mass data for 54 North American game birds were extracted from the literature to test the hypothesis that a trade-off exists between fecundity and survival among avian species. Species with larger clutch sizes live shorter lives than species with smaller clutch sizes (r = −0.38, n = 54, P < 0.01). This relationship still holds when the effects of body mass are removed (r = −0.34, 51 df, P < 0.05), indicating that the relationship is not simply a function of body mass. This latter finding is inconsistent with previous life-history studies, perhaps because previous researchers did not attempt to remove body mass effects from their life-history investigations. Results are similar (P < 0.05) when mean values of life-history traits are examined at the generic level. However, no relationships (P > 0.05) among mean values of life-history traits occur at any taxonomic level higher than genus or when species are grouped with respect to feeding habits. This might be the result of low sample size. I conclude that the evolution of clutch size is influenced by longevity, or vice versa, among species and genera of North American game birds.

1988 ◽  
Vol 66 (8) ◽  
pp. 1904-1905
Author(s):  
David C. Duncan

Zammuto (R. M. Zammuto. 1986. Can. J. Zool. 64: 2739–2749) analyzed life-history traits among North American game birds and concluded that there was an inverse relationship between clutch size and longevity, independent of body mass. Problems with his selection of species, method of comparison, and estimate of longevity are pointed out, and it is suggested that his conclusion was premature.


1988 ◽  
Vol 66 (8) ◽  
pp. 1906-1912 ◽  
Author(s):  
Todd W. Arnold

Recently, Zammuto (R. M. Zammuto. 1986. Can. J. Zool. 64: 2739–2749) suggested that North American game birds exhibited survival–fecundity trade-offs consistent with the "cost of reproduction" hypothesis. However, there were four serious problems with the data and the analyses that Zammuto used: (i) the species chosen for analysis ("game birds") showed little taxonomic or ecological uniformity, (ii) the measures of future reproductive value (maximum longevity) were severely biased by unequal sample sizes of band recoveries, (iii) the measures of current reproductive effort (clutch sizes) were inappropriate given that most of the birds analyzed produce self-feeding precocial offspring, and (iv) the statistical units used in the majority of analyses (species) were not statistically independent with respect to higher level taxonomy. After correcting these problems, I found little evidence of survival–fecundity trade-offs among precocial game birds, and I attribute most of the explainable variation in life-history traits of these birds to allometry, phylogeny, and geography.


2020 ◽  
Author(s):  
Serena Wong ◽  
Jennifer S. Bigman ◽  
Nicholas K. Dulvy

AbstractAll life acquires energy through metabolic processes and that energy is subsequently allocated to life-sustaining functions such as survival, growth, and reproduction. Thus, it has long been assumed that metabolic rate is related to the life history of an organism. Indeed, metabolic rate is commonly believed to set the pace of life by determining where an organism is situated along a fast-slow life history continuum. However, empirical evidence of a relationship between metabolic rate and life histories is lacking, especially for ectothermic organisms. Here, we ask whether three life history traits – maximum body mass, generation length, and growth performance – explain variation in resting metabolic rate (RMR) across fishes. We found that growth performance, which accounts for the trade-off between growth rate and maximum body size, explained variation in RMR, yet maximum body mass and generation length did not. Our results suggest that measures of life history that encompass trade-offs between life history traits, rather than traits in isolation, explain variation in RMR across fishes. Ultimately, understanding the relationship between metabolic rate and life history is crucial to metabolic ecology and has the potential to improve prediction of the ecological risk of data-poor species.


2021 ◽  
Vol 288 (1953) ◽  
pp. 20210910
Author(s):  
Serena Wong ◽  
Jennifer S. Bigman ◽  
Nicholas K. Dulvy

All life acquires energy through metabolic processes and that energy is subsequently allocated to life-sustaining functions such as survival, growth and reproduction. Thus, it has long been assumed that metabolic rate is related to the life history of an organism. Indeed, metabolic rate is commonly believed to set the pace of life by determining where an organism is situated along a fast–slow life-history continuum. However, empirical evidence of a direct interspecific relationship between metabolic rate and life histories is lacking, especially for ectothermic organisms. Here, we ask whether three life-history traits—maximum body mass, generation length and growth performance—explain variation in resting metabolic rate (RMR) across fishes. We found that growth performance, which accounts for the trade-off between growth rate and maximum body size, explained variation in RMR, yet maximum body mass and generation length did not. Our results suggest that measures of life history that encompass trade-offs between life-history traits, rather than traits in isolation, explain variation in RMR across fishes. Ultimately, understanding the relationship between metabolic rate and life history is crucial to metabolic ecology and has the potential to improve prediction of the ecological risk of data-poor species.


1989 ◽  
Vol 67 (2) ◽  
pp. 343-349 ◽  
Author(s):  
George E. Menkens Jr. ◽  
Stanley H. Anderson

Variation in population density and life history traits were studied in six white-tailed prairie dog (Cynomys leucurus) populations in Wyoming using mark – recapture techniques. All life history traits (except juvenile sex ratios) and population density exhibited significant variation within towns between years and among towns in the same year. Temporal and spatial habitat variation significantly affects juvenile body mass but not adult body mass, which, in turn, results in the observed variation in life history traits. We conclude that white-tailed prairie dogs are dynamic reproducers and that their population age distributions are neither stable nor stationary. Use of life tables to study life history patterns of this species or of similar species would be inappropriate because of a failure to meet a basic assumption of life table models.


Author(s):  
Maren N. Vitousek ◽  
Laura A. Schoenle

Hormones mediate the expression of life history traits—phenotypic traits that contribute to lifetime fitness (i.e., reproductive timing, growth rate, number and size of offspring). The endocrine system shapes phenotype by organizing tissues during developmental periods and by activating changes in behavior, physiology, and morphology in response to varying physical and social environments. Because hormones can simultaneously regulate many traits (hormonal pleiotropy), they are important mediators of life history trade-offs among growth, reproduction, and survival. This chapter reviews the role of hormones in shaping life histories with an emphasis on developmental plasticity and reversible flexibility in endocrine and life history traits. It also discusses the advantages of studying hormone–behavior interactions from an evolutionary perspective. Recent research in evolutionary endocrinology has provided insight into the heritability of endocrine traits, how selection on hormone systems may influence the evolution of life histories, and the role of hormonal pleiotropy in driving or constraining evolution.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Bruno Simmen ◽  
Luca Morino ◽  
Stéphane Blanc ◽  
Cécile Garcia

AbstractLife history, brain size and energy expenditure scale with body mass in mammals but there is little conclusive evidence for a correlated evolution between life history and energy expenditure (either basal/resting or daily) independent of body mass. We addressed this question by examining the relationship between primate free-living daily energy expenditure (DEE) measured by doubly labeled water method (n = 18 species), life history variables (maximum lifespan, gestation and lactation duration, interbirth interval, litter mass, age at first reproduction), resting metabolic rate (RMR) and brain size. We also analyzed whether the hypometabolic primates of Madagascar (lemurs) make distinct energy allocation tradeoffs compared to other primates (monkeys and apes) with different life history traits and ecological constraints. None of the life-history traits correlated with DEE after controlling for body mass and phylogeny. In contrast, a regression model showed that DEE increased with increasing RMR and decreasing reproductive output (i.e., litter mass/interbirth interval) independent of body mass. Despite their low RMR and smaller brains, lemurs had an average DEE remarkably similar to that of haplorhines. The data suggest that lemurs have evolved energy strategies that maximize energy investment to survive in the unusually harsh and unpredictable environments of Madagascar at the expense of reproduction.


Author(s):  
Jeffrey A. Hutchings

Life histories describe how genotypes schedule their reproductive effort throughout life in response to factors that affect their survival and fecundity. Life histories are solutions that selection has produced to solve the problem of how to persist in a given environment. These solutions differ tremendously within and among species. Some organisms mature within months of attaining life, others within decades; some produce few, large offspring as opposed to numerous, small offspring; some reproduce many times throughout their lives while others die after reproducing just once. The exponential pace of life-history research provides an opportune time to engage and re-engage new generations of students and researchers on the fundamentals and applications of life-history theory. Chapters 1 through 4 describe the fundamentals of life-history theory. Chapters 5 through 8 focus on the evolution of life-history traits. Chapters 9 and 10 summarize how life-history theory and prediction has been applied within the contexts of conservation and sustainable exploitation. This primer offers an effective means of rendering the topic accessible to readers from a broad range of academic experience and research expertise.


2018 ◽  
Vol 8 (5) ◽  
pp. 2632-2644 ◽  
Author(s):  
Paul G. Harnik ◽  
Hafiz Maherali ◽  
Joshua H. Miller ◽  
Paul S. Manos

Sign in / Sign up

Export Citation Format

Share Document