13
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Can Niche Modeling and Geometric Morphometrics Document Competitive Exclusion in a Pair of Subterranean Rodents (Genus Ctenomys) with Tiny Parapatric Distributions?

      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

          Species with similar ecological requirements coexisting in the same geographic region are prone to competitively exclude each other. Alternatively, they may coexist if character displacement acts to change the niche requirements of one or both species. We used two methodological approaches (ecological niche modeling [ENM] and geometric morphometrics) to test two hypotheses: given their behavioral, morphological, and ecological similarities, one species competitively excludes the other; and, character displacement enables their coexistence at two sites in which the species are known to occur in sympatry. The results from the ENM-based approach did not provide evidence for competitive exclusion; however, the morphometric analyses documented displacement in size of C. minutus. This result, suggests that C. minutus might exclude C. flamarioni from areas with softer soils and higher food availability. We stress the importance of using multiple methodological approaches when testing prediction of competitive exclusion. However, both methods had limited explanatory power given that the focal species possess truly peculiar distributions, being largely parapatric and restricted to narrow, small geographic areas with a strange distribution and there is a need to search for additional methods. We discuss the idiosyncrasy of the ENM-based approach when applied to organisms with subterranean habits.

          Related collections

          Most cited references65

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

          Making better Maxentmodels of species distributions: complexity, overfitting and evaluation

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

            The importance of biotic interactions for modelling species distributions under climate change

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

              Ecological niche modeling in Maxent: the importance of model complexity and the performance of model selection criteria.

              Maxent, one of the most commonly used methods for inferring species distributions and environmental tolerances from occurrence data, allows users to fit models of arbitrary complexity. Model complexity is typically constrained via a process known as L1 regularization, but at present little guidance is available for setting the appropriate level of regularization, and the effects of inappropriately complex or simple models are largely unknown. In this study, we demonstrate the use of information criterion approaches to setting regularization in Maxent, and we compare models selected using information criteria to models selected using other criteria that are common in the literature. We evaluate model performance using occurrence data generated from a known "true" initial Maxent model, using several different metrics for model quality and transferability. We demonstrate that models that are inappropriately complex or inappropriately simple show reduced ability to infer habitat quality, reduced ability to infer the relative importance of variables in constraining species' distributions, and reduced transferability to other time periods. We also demonstrate that information criteria may offer significant advantages over the methods commonly used in the literature.
                Bookmark

                Author and article information

                Contributors
                busnelo@hotmail.com
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                24 November 2017
                24 November 2017
                2017
                : 7
                : 16283
                Affiliations
                [1 ]Programa de Pós-Graduação em Biologia Animal, Departamento de Zoologia Universidade Federal do Rio Grande do Sul, Av. Bento Gonçalves 9500, 91501-970 Porto Alegre, Brazil
                [2 ]Departamento de Ciências Biológicas da Universidade Regional Integrada do Alto Uruguai e das Missões – Campus de Frederico Westphalen, Av. Assis Brasil 709, 98400-000 Frederico Westphalen, Brazil
                [3 ]ISNI 0000 0001 2284 6531, GRID grid.411239.c, Programa de Pós-Graduação em Biodiversidade Animal, Centro de Ciências Naturais e Exatas, Av. Roraima n. 1000, Universidade Federal de Santa Maria, ; Santa Maria, RS 97105-900 Brazil
                [4 ]ISNI 0000 0001 2238 5157, GRID grid.7632.0, Programa Nacional de Pós Doutorado em Ecologia, Departamento de Zoologia, Instituto de Ciências Biológicas, Campus UnB, Universidade de Brasília, ; Asa Norte 70910-900 Brasília, DF Brazil
                [5 ]ISNI 0000 0001 2192 7591, GRID grid.453560.1, Division of Mammals, Department of Vertebrate Zoology, National Museum of Natural History, Smithsonian Institution, ; Washington, DC USA
                [6 ]Programa de Pós-Graduação em Ciências Ambientais – Universidade Comunitária da Região de Chapecó, - Avenida Senador Attílio Fontana, 591-E, CEP 89809-000 Chapecó, SC Brazil
                [7 ]Programa de Pós-Graduação em Genética e Biologia Molecular, Departamento de Genética, Universidade Federal do Rio Grande do Sul – Av. Bento Gonçalves, 9500, CEP 91501-970 Porto Alegre, RS Brazil
                Author information
                http://orcid.org/0000-0002-3996-5411
                http://orcid.org/0000-0001-6790-8185
                http://orcid.org/0000-0003-1428-8634
                http://orcid.org/0000-0001-9134-2943
                Article
                16243
                10.1038/s41598-017-16243-2
                5701118
                29176709
                04a211f3-63c5-45a0-b4c2-45f6b79ec6ee
                © The Author(s) 2017

                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
                : 8 May 2017
                : 27 October 2017
                Categories
                Article
                Custom metadata
                © The Author(s) 2017

                Uncategorized
                Uncategorized

                Comments

                Comment on this article