title: Spatial heterogeneity in landscape structure influences dispersal and genetic structure: empirical evidence from a grasshopper in an agricultural landscape.
abstract: Dispersal may be strongly influenced by landscape and habitat characteristics that could either enhance or restrict movements of organisms. Therefore, spatial heterogeneity in landscape structure could influence gene flow and the spatial structure of populations. In the past decades, agricultural intensification has led to the reduction in grassland surfaces, their fragmentation and intensification. As these changes are not homogeneously distributed in landscapes, they have resulted in spatial heterogeneity with generally less intensified hedged farmland areas remaining alongside streams and rivers. In this study, we assessed spatial pattern of abundance and population genetic structure of a flightless grasshopper species, Pezotettix giornae, based on the surveys of 363 grasslands in a 430-km² agricultural landscape of western France. Data were analysed using geostatistics and landscape genetics based on microsatellites markers and computer simulations. Results suggested that small-scale intense dispersal allows this species to survive in intensive agricultural landscapes. A complex spatial genetic structure related to landscape and habitat characteristics was also detected. Two P. giornae genetic clusters bisected by a linear hedged farmland were inferred from clustering analyses. This linear hedged farmland was characterized by high hedgerow and grassland density as well as higher grassland temporal stability that were suspected to slow down dispersal. Computer simulations demonstrated that a linear-shaped landscape feature limiting dispersal could be detected as a barrier to gene flow and generate the observed genetic pattern. This study illustrates the relevance of using computer simulations to test hypotheses in landscape genetics studies.
authors.affiliation: INRA, USC1339 (CEBC-CNRS), Villiers en Bois, F-79360, France; CNRS, UMR 7372 CEBC - Université de La Rochelle, Villiers en Bois, F-79360, France; LTER, ZA Plaine & Val de Sèvre, CNRS-CEBC, Villiers en Bois, F-79360, France.
authors.forename: Bertrand
authors.initials: B
authors.lastname: Gauffre
authors.forename: Sophie
authors.initials: S
authors.lastname: Mallez
authors.forename: Marie-Pierre
authors.initials: MP
authors.lastname: Chapuis
authors.forename: Raphael
authors.initials: R
authors.lastname: Leblois
authors.forename: Isabelle
authors.initials: I
authors.lastname: Litrico
authors.forename: Sabrina
authors.initials: S
authors.lastname: Delaunay
authors.forename: Isabelle
authors.initials: I
authors.lastname: Badenhausser
mesh_terms: D000383:Agriculture; D063147:Animal Distribution; D000818:Animals; D001499:Bayes Theorem; D016000:Cluster Analysis; D017753:Ecosystem; D005602:France; D005787:Gene Frequency; D005828:Genetics, Population; D006110:Grasshoppers / Q000235:genetics*; D065948:Grassland; D062206:Spatial Analysis
keywords: Pezotettix giornae; clustering methods; computer simulations; dispersal; landscape genetics; microsatellites