Effects of geography and life history traits on genetic differentiation in benthic marine fishes

Ecography ◽  
2011 ◽  
Vol 34 (4) ◽  
pp. 566-575 ◽  
Author(s):  
Cynthia Riginos ◽  
Kristin E. Douglas ◽  
Young Jin ◽  
Danielle F. Shanahan ◽  
Eric A. Treml
2012 ◽  
Vol 19 (3) ◽  
pp. 892-899 ◽  
Author(s):  
Eva Völler ◽  
Harald Auge ◽  
Oliver Bossdorf ◽  
Daniel Prati

2017 ◽  
Vol 284 (1856) ◽  
pp. 20170693 ◽  
Author(s):  
Jeffrey A. Hutchings ◽  
Anna Kuparinen

Probability of species recovery is thought to be correlated with specific aspects of organismal life history, such as age at maturity and longevity, and how these affect rates of natural mortality ( M ) and maximum per capita population growth ( r max ). Despite strong theoretical underpinnings, these correlates have been based on predicted rather than realized population trajectories following threat mitigation. Here, we examine the level of empirical support for postulated links between a suite of life-history traits (related to maturity, age, size and growth) and recovery in marine fishes. Following threat mitigation (medium time since cessation of overfishing = 20 years), 71% of 55 temperate populations had fully recovered, the remainder exhibiting, on average, negligible change (impaired recovery). Singly, life-history traits did not influence recovery status. In combination, however, those that jointly reflect length-based mortality at maturity, M α , revealed that recovered populations have higher M α , which we hypothesize to reflect local adaptations associated with greater r max . But, within populations, the smaller sizes at maturity generated by overfishing are predicted to increase M α , slowing recovery and increasing its uncertainty. We conclude that recovery potential is greater for populations adapted to high M but that temporal increases in M concomitant with smaller size at maturity will have the opposite effect. The recovery metric documented here ( M α ) has a sound theoretical basis, is significantly correlated with direct estimates of M that directly reflect r max , is not reliant on data-intensive time series, can be readily estimated, and offers an empirically defensible correlate of recovery, given its clear links to the positive and impaired responses to threat mitigation that have been observed in fish populations over the past three decades.


2018 ◽  
Vol 151 (1) ◽  
pp. 5-17 ◽  
Author(s):  
Xavier P. Bouteiller ◽  
Frédéric Barraquand ◽  
Pauline Garnier-Géré ◽  
Noémie Harmand ◽  
Yec’han Laizet ◽  
...  

Background – The role of evolution in biological invasion studies is often overlooked. In order to evaluate the evolutionary mechanisms behind invasiveness, both quantitative and population genetics studies are underway on Robinia pseudoacacia L., one of the worst invasive tree species in Europe.Methods – A controlled experiment was set up using 2000 seeds from ten populations in Southern France and ten populations in Belgium. Seedlings were cultivated in two climatic chambers set at 18°C and 22°C. Early development life history traits (e.g. seedling phenology) and functional traits (e.g. growth rates) were monitored. Genotyping using SNP markers was used to evaluate the genetic differentiation among the populations and a QST – FST comparison was done in order to test for the role of selection.Results – Populations exhibited a strong plasticity to temperature for all measured traits, the warmer environment being generally more suitable, irrespective of their origin. No significant departure from neutral evolution was evidenced by the QST – FST comparisons, although we found a slightly significant differentiation at the molecular level. Conclusion – Plasticity for the functional and life history traits was evidenced but no genetic interaction suggesting no possible evolution of plasticity at those traits. Moreover, no support for genetic differentiation and local adaptation was found among studied populations within invasive range, raising two main questions: first, what is the role of selection on functional and life-history traits; and second, is the elapsed time since first introduction sufficient to allow evolution and local adaptation?


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