Scale-dependent effects of terrestrial habitat on genetic variation in the great crested newt (Triturus cristatus) View Full Text


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Article Info

DATE

2021-07-05

AUTHORS

Karen Cox, Mathieu Denoël, Hans Van Calster, Jeroen Speybroeck, Sam Van de Poel, Iwan Lewylle, Leen Verschaeve, An Van Breusegem, David Halfmaerten, Dries Adriaens, Gerald Louette

ABSTRACT

ContextTerrestrial landscapes surrounding aquatic habitat influence the persistence of amphibian spatially structured populations (SSPs) via their crucial role in providing estivation and overwintering sites, facilitating or hampering dispersal and colonisation, and consequently the maintenance or loss of genetic diversity.ObjectivesTo highlight the landscape drivers of genetic variation, we investigated the relationship between the level of genetic variation measured within ponds of the great crested newt (Triturus cristatus), and the composition of the surrounding landscape at various spatial scales.MethodsBased on the sampling of 40 ponds in 13 SSPs, the influence of landscape features on several estimators of genetic variation was investigated via linear mixed models, with effects within and between SSPs incorporated.ResultsThe best models depended on the spatial scale, with more significant associations within radii of 50 and 100 m of core ponds, particularly for allelic richness. Responses within and between SSPs were mostly similar. The availability of aquatic habitat in the landscape had a positive effect, while woodland, arable land and pasture had different effects depending on scale and response variable. Total length of roads within a 250 m radius influenced effective population size negatively.ConclusionsOur results stress the need to investigate the influence of environmental predictors at multiple spatial scales for an adequate understanding of ongoing processes. Generally, the landscape affected genetic variation similarly within and between SSPs. This allowed us to provide general guidelines for the persistence of great crested newt populations, with an emphasis on the importance of the aquatic habitat. More... »

PAGES

3029-3048

References to SciGraph publications

  • 2005-06. Can road mortality limit populations of pool-breeding amphibians? in WETLANDS ECOLOGY AND MANAGEMENT
  • 2013. Applied Spatial Data Analysis with R in NONE
  • 2016-03-24. Multi-scale prediction of landscape resistance for tiger dispersal in central India in LANDSCAPE ECOLOGY
  • 2015-10-13. A multi-scale assessment of population connectivity in African lions (Panthera leo) in response to landscape change in LANDSCAPE ECOLOGY
  • 2010-10-15. Discriminant analysis of principal components: a new method for the analysis of genetically structured populations in BMC GENETICS
  • 2019-04-01. The scale of effect of landscape context varies with the species’ response variable measured in LANDSCAPE ECOLOGY
  • 2010-02-27. Estimation of census and effective population sizes: the increasing usefulness of DNA-based approaches in CONSERVATION GENETICS
  • 2019-01-14. Age and growth in a European flagship amphibian: equal performance at agricultural ponds and favourably managed aquatic sites in AQUATIC ECOLOGY
  • 2018-10-12. Context-dependent dispersal, public information, and heterospecific attraction in newts in OECOLOGIA
  • 2008-12-16. Enhanced Bayesian modelling in BAPS software for learning genetic structures of populations in BMC BIOINFORMATICS
  • 2000-04-01. Local drift load and the heterosis of interconnected populations in HEREDITY
  • 2020-03-19. Landscape genetics of northern crested newt Triturus cristatus populations in a contrasting natural and human-impacted boreal forest in CONSERVATION GENETICS
  • 2012-07-29. Newt decline in Western Europe: highlights from relative distribution changes within guilds in BIODIVERSITY AND CONSERVATION
  • 2004-11. Multiscale determinants of tree frog (Hyla arborea L.) calling ponds in western Switzerland in BIODIVERSITY AND CONSERVATION
  • 2011-04-22. Behavioral responses of the Iberian waterfrog, Pelophylax perezi (Seoane, 1885), to three nitrogenous compounds in laboratory conditions in ECOTOXICOLOGY
  • 2016-11-19. Habitat requirements and conservation needs of peripheral populations: the case of the great crested newt (Triturus cristatus) in the Scottish Highlands in HYDROBIOLOGIA
  • 2019-12-19. Regional replication of landscape genetics analyses of the Mississippi slimy salamander, Plethodon mississippi in LANDSCAPE ECOLOGY
  • 2000-02. Extinction by numbers in NATURE
  • 2005-03. Delineating fine-scale genetic units in amphibians:Probing the primacy of ponds in CONSERVATION GENETICS
  • 2017-02-22. Amphibian decline, pond loss and reduced population connectivity under agricultural intensification over a 38 year period in BIODIVERSITY AND CONSERVATION
  • 2016-02-12. Influences of scale on bat habitat relationships in a forested landscape in Nicaragua in LANDSCAPE ECOLOGY
  • 2017-11-10. Landscape Genomics: Understanding Relationships Between Environmental Heterogeneity and Genomic Characteristics of Populations in POPULATION GENOMICS
  • 2014-12-23. The effects of forest management on terrestrial habitats of a rare and a common newt species in EUROPEAN JOURNAL OF FOREST RESEARCH
  • 2009-07-29. Restoring ponds for amphibians: a success story in HYDROBIOLOGIA
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    DOI

    http://dx.doi.org/10.1007/s10980-021-01297-5

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    https://app.dimensions.ai/details/publication/pub.1139425380


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