5 Works

Data from: An integrated assessment model of seabird population dynamics: can individual heterogeneity in susceptibility to fishing explain abundance trends in Crozet wandering albatross?

Geoffrey N. Tuck, Robin B. Thomson, Christophe Barbraud, Karine Delord, Maite Louzao, Miguel Herrera & Henri Weimerskirch
1. Seabirds have been incidentally caught in distant-water longline fleets operating in the Southern Ocean since at least the 1970s, and breeding numbers for some populations have shown marked trends of decline and recovery concomitant with longline fishing effort within their distributions. However, lacking is an understanding of how forms of among-individual heterogeneity may interact with fisheries bycatch and influence population dynamics. 2. We develop a model that uses comprehensive data on the spatial and...

Data from: Extreme climate events and individual heterogeneity shape life-history traits and population dynamics

Stéphanie Jenouvrier, Clara Péron & Henri Weimerskirch
Extreme climatic conditions and their ecological impacts are currently emerging as critical features of climate change. We studied extreme sea ice condition (ESIC) and found it impacts both life-history traits and population dynamics of an Antarctic seabird well beyond ordinary variability. The Southern Fulmar (Fulmarus glacialoides) is an ice-dependent seabird, and individuals forage near the ice edge. During an extreme unfavorable year (when sea ice area is reduced and distance between ice edge and colony...

Data from: Postglacial recolonisation in a cold climate specialist in Western Europe: patterns of genetic diversity in the adder (Vipera berus) support the central-marginal hypothesis

Sylvain Ursenbacher, Michaël Guillon, Hervé Cubizolle, Andréaz Dupoué, Gabriel Blouin-Demers & Olivier Lourdais
Understanding the impact of postglacial recolonization on genetic diversity is essential in explaining current patterns of genetic variation. The central–marginal hypothesis (CMH) predicts a reduction in genetic diversity from the core of the distribution to peripheral populations, as well as reduced connectivity between peripheral populations. While the CMH has received considerable empirical support, its broad applicability is still debated and alternative hypotheses predict different spatial patterns of genetic diversity. Using microsatellite markers, we analysed the...

Data from: Predictive modelling of habitat selection by marine predators with respect to the abundance and depth distribution of pelagic prey

Charlotte Boyd, Ramiro Castillo, , André E. Punt, Glenn R. VanBlaricom, Henri Weimerskirch, Sophie Bertrand & George L. Hunt
1. Understanding the ecological processes that underpin species distribution patterns is a fundamental goal in spatial ecology. However, developing predictive models of habitat use is challenging for species that forage in marine environments, as both predators and prey are often highly mobile and difficult to monitor. Consequently, few studies have developed resource selection functions for marine predators based directly on the abundance and distribution of their prey. 2. We analysed contemporaneous data on the diving...

Data from: Spatial heterogeneity in landscape structure influences dispersal and genetic structure: empirical evidence from a grasshopper in an agricultural landscape

Bertrand Gauffre, Sophie Mallez, Marie-Pierre Chapuis, Leblois Raphael, Isabelle Litrico, Sabrina Delaunay, Isabelle Badenhausser & Raphael Leblois
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...

Registration Year

  • 2015

Resource Types

  • Dataset


  • Centre d'Etudes Biologiques de Chizé
  • French National Centre for Scientific Research
  • University of Washington
  • Institut de Recherche pour le Développement
  • Instituto del Mar del Peru
  • University of Tasmania
  • University of Lyon System
  • French National Institute for Agricultural Research
  • Environment, City, Society
  • University of Basel