6
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      The ecological drivers of variation in global language diversity

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Language diversity is distributed unevenly over the globe. Intriguingly, patterns of language diversity resemble biodiversity patterns, leading to suggestions that similar mechanisms may underlie both linguistic and biological diversification. Here we present the first global analysis of language diversity that compares the relative importance of two key ecological mechanisms – isolation and ecological risk – after correcting for spatial autocorrelation and phylogenetic non-independence. We find significant effects of climate on language diversity, consistent with the ecological risk hypothesis that areas of high year-round productivity lead to more languages by supporting human cultural groups with smaller distributions. Climate has a much stronger effect on language diversity than landscape features, such as altitudinal range and river density, which might contribute to isolation of cultural groups. The association between biodiversity and language diversity appears to be an incidental effect of their covariation with climate, rather than a causal link between the two.

          Abstract

          Could similar ecological and biogeographic drivers explain the distributions of biological diversity and human cultural diversity? The authors explore ecological correlates of human language diversity, finding strong support for a role of high year-round productivity but less support for landscape features.

          Related collections

          Most cited references40

          • Record: found
          • Abstract: found
          • Article: not found

          Evolution and the latitudinal diversity gradient: speciation, extinction and biogeography.

          A latitudinal gradient in biodiversity has existed since before the time of the dinosaurs, yet how and why this gradient arose remains unresolved. Here we review two major hypotheses for the origin of the latitudinal diversity gradient. The time and area hypothesis holds that tropical climates are older and historically larger, allowing more opportunity for diversification. This hypothesis is supported by observations that temperate taxa are often younger than, and nested within, tropical taxa, and that diversity is positively correlated with the age and area of geographical regions. The diversification rate hypothesis holds that tropical regions diversify faster due to higher rates of speciation (caused by increased opportunities for the evolution of reproductive isolation, or faster molecular evolution, or the increased importance of biotic interactions), or due to lower extinction rates. There is phylogenetic evidence for higher rates of diversification in tropical clades, and palaeontological data demonstrate higher rates of origination for tropical taxa, but mixed evidence for latitudinal differences in extinction rates. Studies of latitudinal variation in incipient speciation also suggest faster speciation in the tropics. Distinguishing the roles of history, speciation and extinction in the origin of the latitudinal gradient represents a major challenge to future research.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Global patterns and determinants of vascular plant diversity.

            Plants, with an estimated 300,000 species, provide crucial primary production and ecosystem structure. To date, our quantitative understanding of diversity gradients of megadiverse clades such as plants has been hampered by the paucity of distribution data. Here, we investigate the global-scale species-richness pattern of vascular plants and examine its environmental and potential historical determinants. Across 1,032 geographic regions worldwide, potential evapotranspiration, the number of wet days per year, and measurements of topographical and habitat heterogeneity emerge as core predictors of species richness. After accounting for environmental effects, the residual differences across the major floristic kingdoms are minor, with the exception of the uniquely diverse Cape Region, highlighting the important role of historical contingencies. Notably, the South African Cape region contains more than twice as many species as expected by the global environmental model, confirming its uniquely evolved flora. A combined multipredictor model explains approximately 70% of the global variation in species richness and fully accounts for the enigmatic latitudinal gradient in species richness. The models illustrate the geographic interplay of different environmental predictors of species richness. Our findings highlight that different hypotheses about the causes of diversity gradients are not mutually exclusive, but likely act synergistically with water-energy dynamics playing a dominant role. The presented geostatistical approach is likely to prove instrumental for identifying richness patterns of the many other taxa without single-species distribution data that still escape our understanding.
              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              A global, self-consistent, hierarchical, high-resolution shoreline database

                Bookmark

                Author and article information

                Contributors
                xia.hua@anu.edu.au
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                3 May 2019
                3 May 2019
                2019
                : 10
                : 2047
                Affiliations
                [1 ]ISNI 0000 0001 2180 7477, GRID grid.1001.0, ARC Centre of Excellence for the Dynamics of Language, , Australian National University, ; Canberra ACT, 0200 Australia
                [2 ]ISNI 0000 0001 2180 7477, GRID grid.1001.0, Macroevolution and Macroecology Group, Division of Ecology & Evolution, Research School of Biology, , Australian National University, ; Canberra ACT, 0200 Australia
                [3 ]ISNI 0000 0004 4914 1197, GRID grid.469873.7, Max Planck Institute for the Science of Human History, ; Kahlaische Strasse 10, D-07743 Jena, Germany
                [4 ]ISNI 0000 0004 0407 1981, GRID grid.4830.f, Meme Programme, , University of Groningen, ; Nijenborgh 7, 9747 AG Groningen, The Netherlands
                Author information
                http://orcid.org/0000-0003-3485-789X
                Article
                9842
                10.1038/s41467-019-09842-2
                6499821
                31053716
                07451288-805a-408e-aa66-782649e5b919
                © The Author(s) 2019

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 12 December 2018
                : 21 March 2019
                Categories
                Article
                Custom metadata
                © The Author(s) 2019

                Uncategorized
                macroecology,biogeography,culture,interdisciplinary studies
                Uncategorized
                macroecology, biogeography, culture, interdisciplinary studies

                Comments

                Comment on this article