Journal: Journal of Biogeography

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Abbreviation

J Biogeogr

Publisher

Wiley-Blackwell

Journal Volumes

ISSN

0305-0270
1365-2699

Description

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Publications 1 - 10 of 50
  • Colombaroli, Daniele; Tinner, Willy; Leeuwen, Jacqueline van; et al. (2009)
    Journal of Biogeography
  • Benedetti, Fabio; Vogt, Meike; Righetti, Damiano; et al. (2018)
    Journal of Biogeography
  • Higgins, Steven I.; O'Hara, Robert B.; Bykova, Olga; et al. (2012)
    Journal of Biogeography
  • Guggisberg, Alessia; Welk, Erik; Sforza, René; et al. (2012)
    Journal of Biogeography
  • Martin-Benito, D.; Pederson, N. (2015)
    Journal of Biogeography
  • Bykova, Olga; Chuine, Isabelle; Morin, Xavier; et al. (2012)
    Journal of Biogeography
  • Leugger, Flurin; Broquet, Thomas; Karger, Dirk Nikolaus; et al. (2022)
    Journal of Biogeography
    Aim Understanding the drivers of species distribution ranges and population genetic structure can help predict species' responses to global change, while mitigating threats to biodiversity through effective conservation measures. Here, we combined species habitat suitability through time with process-based models and genomic data to investigate the role of landscape features and functional connectivity in shaping the population genetic structure of Northern chamois. Location European Alps. Taxon Northern chamois (Rupicapra rupicapra). Methods Using a model that simulates dispersal and tracks the functional connectivity of populations over dynamic landscapes, we modelled the response of the chamois to climate change from the last glaciation (20,000 years ago) to the present. We reconstructed species habitat suitability and landscape connectivity over time and simulated cumulative divergence of populations as a proxy for genetic differentiation. We then compared simulated divergence with the actual population structure of 449 chamois (with >20 k SNPs) sampled across the Alps. Results We found that Alpine populations of chamois are structured into two main clades, located in the south-western and the eastern Alps. The contact zone between the two lineages is located near the Rhone valley in Switzerland. Simulations reproduced the geographic differentiation of populations observed in the genomic data, and limited dispersal ability and landscape connectivity co-determined the fit of the simulations to data. Main conclusions The contemporary genetic structure of the chamois across the Alps is explained by limited functional connectivity in combination with large rivers or valleys acting as dispersal barriers. The results of our analysis combining simulations with population genomics highlight how biological characteristics, habitat preference and landscapes shape population genetic structure over time and in responses to climate change. We conclude that spatial simulations could be used to improve our understanding of how landscape dynamics, shaped by geological or climatic forces, impact intra- and interspecific diversity.
  • Benedetti, Fabio; Wydler, Jonas; Vogt, Meike (2023)
    Journal of Biogeography
    Aim The distribution of zooplankton functional traits is a key factor for regulating food web dynamics and carbon cycling in the oceans. Yet, we lack a clear understanding of how many functional groups (FGs) exist in the zooplankton and how their traits are distributed on a global scale. Here, we model and map the environmental habitats of copepod (i.e. the main component of marine zooplankton) FGs to identify regions sharing similar functional trait expression at the community level. Taxon Marine planktonic Neocopepoda. Location Global ocean. Methods Factor analysis on mixed data and hierarchical clustering were used to identify copepod FGs based on five species-level functional traits. An ensemble of species distribution models was used to estimate the environmental niches of the species modelled and the community weighted mean (CWM) values of the traits studied. Ocean regions were defined based on their community-level mean trait expression using principal component analysis and hierarchical clustering. Results Eleven global copepods FGs were identified. They displayed contrasting latitudinal patterns in mean annual habitat suitability that could be explained by differences in environmental niche preferences: two FGs were associated with polar conditions, one followed the global temperature gradient, five were associated with tropical oligotrophic gyres and the remaining three with boundary currents and counter currents. Four main regions of varying CWM trait values emerged: the Southern Ocean, the northern and southern high latitudes, the tropical gyres and the boundary currents and upwelling systems. Conclusions The present FGs will improve the representation of copepods in global marine ecosystem models. This study improves the understanding of the patterns and drivers of copepods trait biogeography and will serve as a basis for studying links between zooplankton biodiversity and ecosystem functioning in a context of climate change.
  • Meier, Eliane S.; Edwards Jr., Thomas C.; Kienast, Felix; et al. (2011)
    Journal of Biogeography
  • Tiatragul, Sarin; Skeels, Alexander; Keogh, J. Scott (2023)
    Journal of Biogeography
    Aim: Shifts in diversification rates of Australian flora and fauna have been associated with aridification, but the relationship between diversification rates and aridity has never been quantified. We employed multiple approaches to reconstruct paleoenvironments of Australia for the first time. We used this information, and phylogenetic-based analyses, to explore how changes in temperature and increasing aridity during the Neogene influenced the diversification of the Australian blindsnakes. We tested whether diversification rates differ between arid-adapted and mesic-adapted lineages. Taxon: Typhlopidae, Anilios blindsnakes. Location: Australia. Materials and Methods: We estimated the historical biogeography of blindsnakes using BioGeoBEARS. We synthesised multiple approaches to reconstruct paleotemperature and paleoaridity of Australia during the Neogene. We fitted several birth-death models and estimated diversification rates under paleoenvironmental conditions using RPANDA. We further compared diversification rates between arid-adapted lineages versus mesic-adapted lineages using ClaDS and GeoHiSSE. Results: Ancestral area estimation indicated Australian blindsnakes have tropical grassland origins. We found that Australia-specific regional paleotemperature and paleoaridity provided a better explanation for diversification rate variation than global paleotemperature. Specifically, our best-fitting model indicated that speciation rates of blindsnakes decreased with increasing aridity. We found no difference in diversification rates between arid- and mesic-adapted lineages. Main Conclusions: Soon after dispersing to Australia, the common ancestors of Australian blindsnakes diversified rapidly in mesic habitats during the early Miocene. However, as the continent became increasingly arid, diversification rates decreased. We found that shifts in the environment led to the emergence of two major clades: one remaining in primarily mesic habitats and the other adapting to the expanding arid biome. Our results emphasise the importance of both arid and tropical biomes as sources and sinks of diversification.
Publications 1 - 10 of 50