Life history variation parallels phylogeographical patterns in North American walleye (Sander vitreus) populations

2008 ◽  
Vol 65 (2) ◽  
pp. 198-211 ◽  
Author(s):  
Yingming Zhao ◽  
Brian J Shuter ◽  
Donald A Jackson
Keyword(s):  
Life History ◽  
North America ◽  
Climatic Conditions ◽  
Growth Patterns ◽  
Procrustes Analysis ◽  
Evolutionary Divergence ◽  
Sander Vitreus ◽  
Growth Data ◽  
Life History Variation ◽  
Geographical Regions

Walleye (Sander vitreus) is a native fish species in North America, and its zoogeographic range covers several climatic zones. Using multivariate statistical approaches and published growth data, we explored the association between climatic conditions (frost frequency, precipitation, air temperature, solar radiation, and cloud cover) and growth of walleye from 89 populations in North America. We found significant concordance between climatic conditions and walleye growth; however, the pattern of concordance differed among populations that originated from geographical regions that were colonized from different glacial refugia. This suggests that contemporary differences in walleye growth patterns related to local climatic conditions may have been shaped by evolutionary divergence that occurred among refugia during the last glaciation. We suggest that caution should be taken when assessing possible effects of climate variation and climate change on the life history traits of different walleye and other fish populations, especially when such assessments potentially include several genetically distinct groups. Procrustes analysis was shown to be an effective tool for characterizing how a multivariate set of response variables change in response to generalized changes in a multivariate set of independent variables.

A multi-year and multi-site population study on the life history of Salamandrina perspicillata (Savi, 1821) (Amphibia, Urodela)

2008 ◽  
Vol 29 (2) ◽  
pp. 161-170 ◽  
Author(s):  
Carlo Utzeri ◽  
Claudio Angelini ◽  
Damiano Antonelli
Keyword(s):  
Life History ◽  
Body Size ◽  
Population Study ◽  
Climatic Conditions ◽  
Life History Variation ◽  
Differential Growth ◽  
History Of ◽  
Natural Pond ◽  
The Mean ◽  
Site Population

Abstract We studied nine populations of Salamandrina perspicillata for two to nine years and described the life history variation among these population. Despite experiencing similar climatic conditions, populations differed in mean body size: populations using still water bodies for oviposition were larger body-sized than those using brooks. One semi-natural pond was used by particularly small individuals and was probably recently colonised. The mean body size of ovipositing females varied from year to year. Measurements of individuals in successive years showed that the tail grew more than the trunk and this differential growth increased with age. Females did not oviposit every year and, within a given population, the number of ovipositing females varied widely from year to year.

scholarly journals Growth variability, dimensional scaling, and the interpretation of osteohistological growth data

2021 ◽  
Vol 17 (11) ◽  
Author(s):  
Thomas M. Cullen ◽  
Caleb M. Brown ◽  
Kentaro Chiba ◽  
Kirstin S. Brink ◽  
Peter J. Makovicky ◽  
...  
Keyword(s):  
Life History ◽  
Theoretical Models ◽  
Growth Patterns ◽  
Growth Data ◽  
Common Component ◽  
Growth Variability ◽  
Scaling Relationships ◽  
Dimensional Scaling ◽  
Taxonomic Description ◽  
History Of

Osteohistological data are commonly used to study the life history of extant and extinct tetrapods. While recent advances have permitted detailed reconstructions of growth patterns, physiology and other features using these data, they are most commonly used in assessments of ontogenetic stage and relative growth in extinct animals. These methods have seen widespread adoption in recent years, rapidly becoming a common component of the taxonomic description of new fossil taxa, but are often applied without close consideration of the sources of variation present or the dimensional scaling relationships that exist among different osteohistological measurements. Here, we use a combination of theoretical models and empirical data from a range of extant and extinct tetrapods to review sources of variability in common osteohistological measurements, their dimensional scaling relationships and the resulting interpretations that can be made from those data. In particular, we provide recommendations on the usage and interpretation of growth mark spacing/zonal thickness data, when these are likely to be unreliable, and under what conditions they can provide useful inferences for studies of growth and life history.

Life history differences parallel environmental differences among North American lake trout (Salvelinus namaycush) populations

2010 ◽  
Vol 67 (2) ◽  
pp. 314-325 ◽  
Author(s):  
Jenni L. McDermid ◽  
Brian J. Shuter ◽  
Nigel P. Lester
Keyword(s):  
Life History ◽  
Lake Trout ◽  
Salvelinus Namaycush ◽  
Climatic Conditions ◽  
Age At Maturity ◽  
Life History Variation ◽  
High Productivity ◽  
Variation Range ◽  
Procrustean Analysis ◽  
Impacts Of Climate Change

Lake trout ( Salvelinus namaycush ) exhibit substantial life history variation range-wide and at a local scale. This study addresses two hypotheses that have been proposed to account for this: (i) over the zoogeographic range, climatic conditions are associated with life history differences; and (ii) within smaller geographic regions, physical lake attributes are associated with life history differences. Multivariate statistics (Procrustean analysis and canonical correlation analysis) identified a strong, range-wide association between climate and life history variables. Colder climates were associated with slower prematuration growth, older age at maturity, and increased longevity. Winter conditions were also important; longer, warmer winters were associated with slower prematuration growth, smaller maximum sizes, and increased weight at a standard length of 425 mm. In southern populations, these general trends were further modified by physical lake attributes. High productivity lakes had lake trout with faster prematuration growth and larger maximum sizes; deeper lakes were associated with larger maximum sizes and later ages at maturity; and larger lakes were associated with slower prematuration growth, greater longevity, and larger maximum sizes. This study identifies abiotic variables that should be incorporated into existing lake trout management models, thus extending their applicability range-wide and permitting them to deal with possible impacts of climate change.

scholarly journals Genetic and physiological bases for phenological responses to current and predicted climates

2010 ◽  
Vol 365 (1555) ◽  
pp. 3129-3147 ◽  
Author(s):  
A. M. Wilczek ◽  
L. T. Burghardt ◽  
A. R. Cobb ◽  
M. D. Cooper ◽  
S. M. Welch ◽  
...  
Keyword(s):  
Life History ◽  
Flowering Time ◽  
Later Life ◽  
Physiological Integration ◽  
Potential Contribution ◽  
Life History Variation ◽  
Geographical Regions ◽  
Flowering Time Gene ◽  
Environmentally Sensitive ◽  
History Approach

We are now reaching the stage at which specific genetic factors with known physiological effects can be tied directly and quantitatively to variation in phenology. With such a mechanistic understanding, scientists can better predict phenological responses to novel seasonal climates. Using the widespread model species Arabidopsis thaliana , we explore how variation in different genetic pathways can be linked to phenology and life-history variation across geographical regions and seasons. We show that the expression of phenological traits including flowering depends critically on the growth season, and we outline an integrated life-history approach to phenology in which the timing of later life-history events can be contingent on the environmental cues regulating earlier life stages. As flowering time in many plants is determined by the integration of multiple environmentally sensitive gene pathways, the novel combinations of important seasonal cues in projected future climates will alter how phenology responds to variation in the flowering time gene network with important consequences for plant life history. We discuss how phenology models in other systems—both natural and agricultural—could employ a similar framework to explore the potential contribution of genetic variation to the physiological integration of cues determining phenology.

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