Priority effects on the life-history traits of two carrion blow fly (Diptera, Calliphoridae) species

2014 ◽  
Vol 39 (5) ◽  
pp. 539-547 ◽  
Author(s):  
ADRIENNE BRUNDAGE ◽  
MARK ERIC BENBOW ◽  
JEFFERY K. TOMBERLIN
Keyword(s):  
Life History ◽  
Life History Traits ◽  
Priority Effects ◽  
Blow Fly

Variations in prevalence and intensity of blow fly infestations in an insular Mediterranean population of blue tits

1999 ◽  
Vol 77 (2) ◽  
pp. 337-341 ◽  
Author(s):  
Sylvie Hurtrez-Boussès ◽  
Michel de Garine-Wichatitsky ◽  
Philippe Perret ◽  
Jacques Blondel ◽  
François Renaud
Keyword(s):  
Life History ◽  
Poisson Distribution ◽  
Brood Size ◽  
Life History Traits ◽  
Parasite Load ◽  
Mediterranean Population ◽  
Parus Caeruleus ◽  
Blow Fly ◽  
Time Of Breeding ◽  
Blue Tits

A Corsican population of blue tits (Parus caeruleus) suffers extremely high levels of infestation by two species of blow flies (genus Protocalliphora) that have been suspected to influence the life-history traits of their hosts. By quantifying the abundance of the blow fly larvae infesting each brood of this population during 2 consecutive years, we showed that the distribution of these parasites did not differ from a Poisson distribution. The intensity of blow fly parasitism (mean parasite load per infested nest) was independent of the time of breeding and the available space in the nest of their bird hosts. Moreover, the total blow fly load per nest increased significantly with the number of chicks, whereas the parasite load per chick was not linearly related to brood size.

Prey tell: what quillback rockfish early life history traits reveal about their survival in encounters with juvenile coho salmon

2020 ◽  
Vol 650 ◽  
pp. 7-18 ◽  
Author(s):  
HW Fennie ◽  
S Sponaugle ◽  
EA Daly ◽  
RD Brodeur
Keyword(s):  
Life History ◽  
Early Life ◽  
Life History Traits ◽  
Direct Evidence ◽  
Coho Salmon ◽  
Larval Fish ◽  
Early Life History ◽  
In The Wild ◽  
Otolith Microstructure Analysis ◽  
Pelagic Juvenile

Predation is a major source of mortality in the early life stages of fishes and a driving force in shaping fish populations. Theoretical, modeling, and laboratory studies have generated hypotheses that larval fish size, age, growth rate, and development rate affect their susceptibility to predation. Empirical data on predator selection in the wild are challenging to obtain, and most selective mortality studies must repeatedly sample populations of survivors to indirectly examine survivorship. While valuable on a population scale, these approaches can obscure selection by particular predators. In May 2018, along the coast of Washington, USA, we simultaneously collected juvenile quillback rockfish Sebastes maliger from both the environment and the stomachs of juvenile coho salmon Oncorhynchus kisutch. We used otolith microstructure analysis to examine whether juvenile coho salmon were age-, size-, and/or growth-selective predators of juvenile quillback rockfish. Our results indicate that juvenile rockfish consumed by salmon were significantly smaller, slower growing at capture, and younger than surviving (unconsumed) juvenile rockfish, providing direct evidence that juvenile coho salmon are selective predators on juvenile quillback rockfish. These differences in early life history traits between consumed and surviving rockfish are related to timing of parturition and the environmental conditions larval rockfish experienced, suggesting that maternal effects may substantially influence survival at this stage. Our results demonstrate that variability in timing of parturition and sea surface temperature leads to tradeoffs in early life history traits between growth in the larval stage and survival when encountering predators in the pelagic juvenile stage.

Life History Traits in a Population of Pelobates syriacus (Boettger, 1889) from Turkey

2020 ◽  
Vol 27 (4) ◽  
pp. 195-200
Author(s):  
Ufuk Bülbül ◽  
Halime Koç ◽  
Yasemin Odabaş ◽  
Ali İhsan Eroğlu ◽  
Muammer Kurnaz ◽  
...  
Keyword(s):  
Life History ◽  
Age Structure ◽  
Life History Traits ◽  
Spadefoot Toad ◽  
Males And Females

Age structure of the eastern spadefoot toad, Pelobates syriacus from the Kızılırmak Delta (Turkey) were assessed using phalangeal skeletochronology. Snout-vent length (SVL) ranged from 42.05 to 86.63 mm in males and 34.03 to 53.27 mm in females. Age of adults ranged from 2 to 8 years in males and 3 to 5 years in females. For both sexes, SVL was significantly correlated with age. Males and females of the toads reached maturity at 2 years of age.

Hormones and Behavior

2019 ◽  
pp. 11-26
Author(s):  
Maren N. Vitousek ◽  
Laura A. Schoenle
Keyword(s):  
Life History ◽  
Life Histories ◽  
Life History Traits ◽  
Developmental Plasticity ◽  
Endocrine System ◽  
Phenotypic Traits ◽  
Social Environments ◽  
Trade Offs ◽  
And Behavior

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.

Development and analysis of a malaria transmission mathematical model with seasonal mosquito life‐history traits

2019 ◽  
Vol 144 (4) ◽  
pp. 389-411 ◽  
Author(s):  
Ramsés Djidjou‐Demasse ◽  
Gbenga J. Abiodun ◽  
Abiodun M. Adeola ◽  
Joel O. Botai
Keyword(s):  
Mathematical Model ◽  
Life History ◽  
Malaria Transmission ◽  
Life History Traits
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