Literature DB >> 28615500

Evolvability meets biogeography: evolutionary potential decreases at high and low environmental favourability.

J Martínez-Padilla1,2,3, A Estrada4,5, R Early6, F Garcia-Gonzalez2,7.   

Abstract

Understanding and forecasting the effects of environmental change on wild populations requires knowledge on a critical question: do populations have the ability to evolve in response to that change? However, our knowledge on how evolution works in wild conditions under different environmental circumstances is extremely limited. We investigated how environmental variation influences the evolutionary potential of phenotypic traits. We used published data to collect or calculate 135 estimates of evolvability of morphological traits of European wild bird populations. We characterized the environmental favourability of each population throughout the species' breeding distribution. Our results suggest that the evolutionary potential of morphological traits decreases as environmental favourability becomes high or low. Strong environmental selection pressures and high intra-specific competition may reduce species' evolutionary potential in low- and high- favourability areas, respectively. This suggests that species may be least able to adapt to new climate conditions at their range margins and at the centre. Our results underscore the need to consider the evolutionary potential of populations when studying the drivers of species distributions, particularly when predicting the effects of environmental change. We discuss the utility of integrating evolutionary dynamics into a biogeographical perspective to understand how environmental variation shapes evolutionary patterns. This approach would also produce more reliable predictions about the effect of environmental change on population persistence and therefore on biodiversity.
© 2017 The Author(s).

Keywords:  Europe; birds; environmental change; evolutionary ecology; species distribution models; wild populations

Mesh:

Year:  2017        PMID: 28615500      PMCID: PMC5474074          DOI: 10.1098/rspb.2017.0516

Source DB:  PubMed          Journal:  Proc Biol Sci        ISSN: 0962-8452            Impact factor:   5.349


  40 in total

1.  Testing for phylogenetic signal in comparative data: behavioral traits are more labile.

Authors:  Simon P Blomberg; Theodore Garland; Anthony R Ives
Journal:  Evolution       Date:  2003-04       Impact factor: 3.694

2.  The relation between density regulation and natural selection.

Authors:  J B HALDANE
Journal:  Proc R Soc Lond B Biol Sci       Date:  1956-07-24

3.  Heritability of fitness in a wild mammal population.

Authors:  L E Kruuk; T H Clutton-Brock; J Slate; J M Pemberton; S Brotherstone; F E Guinness
Journal:  Proc Natl Acad Sci U S A       Date:  2000-01-18       Impact factor: 11.205

Review 4.  Environmental quality and evolutionary potential: lessons from wild populations.

Authors:  Anne Charmantier; Dany Garant
Journal:  Proc Biol Sci       Date:  2005-07-22       Impact factor: 5.349

5.  Evolution driven by differential dispersal within a wild bird population.

Authors:  Dany Garant; Loeske E B Kruuk; Teddy A Wilkin; Robin H McCleery; Ben C Sheldon
Journal:  Nature       Date:  2005-01-06       Impact factor: 49.962

6.  Testing for microevolution in body size in three blue tit populations.

Authors:  A Charmantier; L E B Kruuk; J Blondel; M M Lambrechts
Journal:  J Evol Biol       Date:  2004-07       Impact factor: 2.411

7.  Components of variance underlying fitness in a natural population of the great tit Parus major.

Authors:  R H McCleery; R A Pettifor; P Armbruster; K Meyer; B C Sheldon; C M Perrins
Journal:  Am Nat       Date:  2004-07-23       Impact factor: 3.926

8.  Parasitism reduces the potential for evolution in a wild bird population.

Authors:  Anne Charmantier; Loeske E B Kruuk; Marcel M Lambrechts
Journal:  Evolution       Date:  2004-01       Impact factor: 3.694

9.  Evolution and genetic structure of the great tit (Parus major) complex.

Authors:  Laura Kvist; Jochen Martens; Hiroyoshi Higuchi; Alexander A Nazarenko; Olga P Valchuk; Markku Orell
Journal:  Proc Biol Sci       Date:  2003-07-22       Impact factor: 5.349

10.  Ontogenetic patterns in heritable variation for body size: using random regression models in a wild ungulate population.

Authors:  Alastair J Wilson; Loeske E B Kruuk; David W Coltman
Journal:  Am Nat       Date:  2005-10-04       Impact factor: 3.926

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  2 in total

1.  Between-population differences in the genetic and maternal components of body mass in roe deer.

Authors:  E Quéméré; J M Gaillard; M Galan; C Vanpé; I David; M Pellerin; P Kjellander; A J M Hewison; J M Pemberton
Journal:  BMC Evol Biol       Date:  2018-03-28       Impact factor: 3.260

2.  The evolution of the additive variance of a trait under stabilizing selection after autopolyploidization.

Authors:  Josselin Clo
Journal:  J Evol Biol       Date:  2022-05-04       Impact factor: 2.516

  2 in total

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