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Areas of endemism of land planarians (Platyhelminthes: Tricladida) in the Southern Atlantic Forest

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  • Domingo Lago-Barcia
  • Marcio Bernardino DaSilva
  • Luis Americo Conti
  • Fernando Carbayo

Abstract

Areas of endemism (AoE) are the main study units in analytical biogeographic methods, and are often defined as an area with two or more endemic species living in them, presenting substantial congruence among their range limits. We explored the distribution of land planarians (Geoplanidae, Platyhelminthes) across the southern region of the Brazilian Atlantic forest (from the state of Rio de Janeiro, to the state of Rio Grande do Sul) utilizing DaSilva’s et al. (2015) protocol. We used two methods, Endemicity Analysis (EA), and Geographical Interpolation of Endemism (GIE). We identified nine AoE of terrestrial flatworms in the Southern Atlantic forest. Performance of the methodologies is discussed. These AoE of land planarians can be explained through vicariance events combined with their physiological and ecological own limitations. Interestingly, these AoE are congruent with fine-scale approaches such as that with harvestmen. Most land planarians have revealed to present a very small distributional range evidencing their potential as a good model for fine-scale studies of AoE.

Suggested Citation

  • Domingo Lago-Barcia & Marcio Bernardino DaSilva & Luis Americo Conti & Fernando Carbayo, 2020. "Areas of endemism of land planarians (Platyhelminthes: Tricladida) in the Southern Atlantic Forest," PLOS ONE, Public Library of Science, vol. 15(7), pages 1-24, July.
  • Handle: RePEc:plo:pone00:0235949
    DOI: 10.1371/journal.pone.0235949
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    References listed on IDEAS

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    1. Ana Christina Ravelo & Dyke H. Andreasen & Mitchell Lyle & Annette Olivarez Lyle & Michael W. Wara, 2004. "Regional climate shifts caused by gradual global cooling in the Pliocene epoch," Nature, Nature, vol. 429(6989), pages 263-267, May.
    2. Ubirajara Oliveira & Antonio D Brescovit & Adalberto J Santos, 2015. "Delimiting Areas of Endemism through Kernel Interpolation," PLOS ONE, Public Library of Science, vol. 10(1), pages 1-18, January.
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