JOURNAL ARTICLE

Endemism and regionalization of Neotropical mammals: a multi-taxon analysis.

  • Published In: Journal of Mammalogy, 2024, v. 105, n. 4. P. 792 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Machado, Valéria Ribeiro; Pereira, Maria João Ramos; Tirelli, Flávia Pereira; Bennet, David; Ferrari, Augusto 3 of 3

Abstract

This article focuses on identifying areas of endemism and biogeographic regionalization of Neotropical mammals using raw occurrence data for 361 species across Placentalia and Marsupialia taxa. Employing endemicity analysis via the NDM/VNDM software and hierarchical cluster analysis based on Simpson's beta dissimilarity metric (βsim), the study reveals 116 consensus areas grouped into 24 endemic area groups (AEGs) and three main biogeographic clusters, highlighting spatially congruent regions such as the Atlantic Forest, Mexican transition zone (MTZ), Amazon, and South American transition zone. The analyses identified 172 endemic species, including 125 newly proposed endemics, exceeding previous estimates based on range maps, and suggest more spatially restricted areas of endemism than earlier studies. Results underscore the importance of using updated raw occurrence data and multiple analytical approaches to refine the delimitation of Neotropical biogeographic regions and transition zones, while acknowledging limitations due to sampling biases and taxonomic uncertainties.

Additional Information

  • Source:Journal of Mammalogy. 2024/08, Vol. 105, Issue 4, p792
  • Document Type:Article
  • Subject Area:Zoology
  • Publication Date:2024
  • ISSN:0022-2372
  • DOI:10.1093/jmammal/gyae055
  • Accession Number:178738898
  • Copyright Statement:Copyright of Journal of Mammalogy is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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