scholarly journals Human Life Histories as Dynamic Networks: Using Network Analysis to Conceptualize and Analyze Life History Data

2020 ◽  
Author(s):  
Janko Međedović
Keyword(s):  
Life History ◽  
Network Analysis ◽  
Life Histories ◽  
Human Life ◽  
Dynamic Networks ◽  
History Data ◽  
Life History Data

scholarly journals Human life histories as dynamic networks: using Network Analysis to conceptualize and analyze life history data

2019 ◽  
Author(s):  
Janko Mileta Međedović
Keyword(s):  
Factor Analysis ◽  
Life History ◽  
Statistical Analysis ◽  
Network Analysis ◽  
Human Life ◽  
Dynamic Networks ◽  
Age At First Birth ◽  
History Data ◽  
Life History Parameters ◽  
Life History Data

The examination of multiple life history indicators is essential to evolutionary sciences. However, the statistical analysis of life history parameters' covariation is not apparently clear, due to the statistical limitations of “classic” procedures like Factor Analysis and conceptual problems in interpreting covariation between life-history indicators as latent factors. Here we propose that Network Analysis represents a promising framework for the exploration of life history parameters. First, we briefly describe the basic metric of Network Analysis: nodes, edges, proximities, clustering, centrality indices and small-world estimations. Next, we show the implementation of Network Analysis using the empirical set of life history variables as an example (N=460). We showed that Network Analysis provided: 1) optimal level of information - higher than factor analysis and lower than correlation analysis; 2) findings which are in accordance with the existing life history data; 3) the estimation of age at first birth as a central node in the network; 4) dynamic view of life history events which can represent a solid basis for causal life history models. In sum, Network Analysis shows high potential both for conceptualizing life history pathways as dynamic networks and for statistical analysis of the covariation between the life history indicators.

An analysis of life histories in freshwater bivalves (Mollusca: Pisidiidae)

1988 ◽  
Vol 66 (5) ◽  
pp. 1179-1183 ◽  
Author(s):  
Carl M. Way
Keyword(s):  
Life History ◽  
Discriminant Analysis ◽  
Life Histories ◽  
Life History Traits ◽  
Canonical Discriminant Analysis ◽  
Phenotypic Correlation ◽  
History Data ◽  
Life History Data ◽  
Freshwater Bivalves ◽  
Correlation Statistics

A survey of patterns of covariation of six life history traits in 13 species (26 populations) of pisidiid bivalves was carried out using canonical discriminant analysis. The analysis separated the three genera of pisidiids into significantly different clusters. The traits that separated the genera have been called life history tactics and the genera have been placed along an r–K continuum. Univariate phenotypic correlation statistics were used to identify specific life history traits that covary at the genus and interspecific levels. The identifiable groupings of life history traits and traits that strongly covary appear to be influenced in part by phylogeny (size differences between genera), allometry (size differences within a cohort), and habitat (both localized and historical influences). At the present time there is a lack of the detailed intraspecific life history data necessary to sort out the causality behind the groupings of traits. It will be necessary to make detailed comparisons of life histories at the intraspecific level to attain an understanding of the proximal processes involved in causing life history variability.

A global review of life history studies on burrowing crayfish

Crustaceana ◽  
2021 ◽  
Vol 94 (3) ◽  
pp. 357-379
Author(s):  
Caitlin C. Bloomer ◽  
Robert J. DiStefano ◽  
Christopher A. Taylor
Keyword(s):  
Life History ◽  
New Species ◽  
Life Histories ◽  
Reproductive Investment ◽  
Reproductive Season ◽  
History Data ◽  
Life History Data ◽  
Data Deficient ◽  
Species Descriptions ◽  
Life History Study

Abstract Burrowing crayfishes have historically lacked life history data due to their elusive nature and difficultly extracting them from burrows. This review provides a synopsis of current literature on burrowing crayfishes’ life histories and a quantitative analysis of published life history content. Only 69 publications covering 94 burrowing species (approx. 39%) met our criteria for a life history study. Many species had only partial life histories documented and two genera (Engaewa and Tenuibranchiurus) had no life history studies available. Size and reproductive season were the most recorded traits across studies while others such as mortality and age/size at molting events were rarely recorded. Reproductive investment, an important predictor of imperilment, was lacking in 87% of burrowing species. Our review emphasizes the need to include life history data with new species descriptions and conduct basic life history studies to effectively assess data-deficient species and protect the future of our threatened burrowing crayfishes.

A revision of the subfamily Haplorchinae Looss, 1899 (Trematoda: Heterophyidae): I. The Haplorchis group

Parasitology ◽  
1964 ◽  
Vol 54 (4) ◽  
pp. 601-676 ◽  
Author(s):  
J. C. Pearson
Keyword(s):  
Life History ◽  
Ventral Sucker ◽  
Genital Pore ◽  
History Data ◽  
Life History Data ◽  
The Family ◽  
Excretory Bladder

Earlier schemes of classification of the family Heterophyidae have been based in large part on such features as shape of body, presence of oral spines, number and position of testes, and distribution of vitellaria (Witenberg, 1929; Ciurea, 1933; Mueller & Van Cleave, 1932). Price (1940a) was the first to make extensive use of features of the ventrogenital complex (ventral sucker, gonotyl, genital pore, terminal male duct) and excretory bladder, and produced the first reasonable classification of both the family Heterophyidae and the superfamily Opisthorchioidea. In despite of the obvious significance of the rationale of Price's approach, later authors (Morozov, 1952, 1955; Yamaguti, 1958) have largely ignored the ventrogenital complex and recently discovered life-history data, and have used much the same sorts of features as earlier authors.

Histologic growth dynamic study of Edmontosaurus regalis (Dinosauria: Hadrosauridae) from a bonebed assemblage of the Upper Cretaceous Horseshoe Canyon Formation, Edmonton, Alberta, Canada

2014 ◽  
Vol 51 (11) ◽  
pp. 1023-1033 ◽  
Author(s):  
Evan Vanderven ◽  
Michael E. Burns ◽  
Philip J. Currie
Keyword(s):  
Life History ◽  
Body Size ◽  
Upper Cretaceous ◽  
Growth Dynamics ◽  
Growth Dynamic ◽  
History Data ◽  
Life History Data ◽  
Fundamental Systems ◽  
Horseshoe Canyon Formation ◽  
Upper Campanian

The Danek Bonebed (Edmonton, Alberta, Canada) is a monodominant Edmontosaurus regalis assemblage of the upper Campanian (Upper Cretaceous) Horseshoe Canyon Formation. Bone histology of humeri and femora are used in this paper to test hypotheses about the growth dynamics and palaeobiology of Edmontosaurus. The high number of elements collected from the Danek Bonebed allow for an expansion of the multi-element histological record for hadrosaurs. Results indicate that Edmontosaurus had a growth trajectory similar to other large-bodied dinosaurs and reached the onset of somatic maturity at about 10–15 years of age; however, even the largest elements to preserve lines of arrested growth do not have external fundamental systems. This timing of the onset of somatic maturity agrees with the estimated body size of Edmontosaurus relative to other dinosaurs for which life-history data are available. Vascularity patterns support the hypothesis that edmontosaurs preserved at the Danek Bonebed were not subject to the same extreme seasonal environmental shifts as congenerics preserved at higher latitudes, further supporting overwintering behaviour in the latter.

Assessing plausible rates of population growth in humpback whales from life-history data

2010 ◽  
Vol 157 (6) ◽  
pp. 1225-1236 ◽  
Author(s):  
Alexandre N. Zerbini ◽  
Phillip J. Clapham ◽  
Paul R. Wade
Keyword(s):  
Life History ◽  
Population Growth ◽  
Humpback Whales ◽  
History Data ◽  
Life History Data
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