Odonata responses to dispersal and niche processes differ across Amazonian endemism regions

Author:

Brito Joás Silva12ORCID,Cottenie Karl3ORCID,Cruz Gabriel Martins24ORCID,Calvão Lenize Batista12ORCID,Oliveira‐Junior José Max Barbosa15ORCID,Carvalho Fernando Geraldo12ORCID,Brasil Leandro Schlemmer6ORCID,Dias‐Silva Karina1ORCID,Bastos Rafael Costa12ORCID,Resende Bethânia Oliveira12ORCID,Ferreira Victor Rennan Santos12ORCID,Vieira Lisandro Juno Soares7ORCID,Michelan Thaisa Sala12ORCID,Juen Leandro12ORCID

Affiliation:

1. Programa de Pós‐graduação em Ecologia Universidade Federal do Pará Belém Brazil

2. Laboratório de Ecologia e Conservação Universidade Federal do Pará Belém Brazil

3. Department of Integrative Biology University of Guelph Guelph Ontario Canada

4. Programa de Pós‐graduação em Zoologia Universidade Federal do Pará Belém Brazil

5. Laboratório de Estudos de Impactos Ambientais Instituto de Ciências e Tecnologia das Águas, Universidade Federal do Oeste do Pará Altamira Brazil

6. Instituto de Ciências Biológicas e da Saúde, Universidade Federal de Mato Grosso Pontal do Araguaia Brazil

7. Programa de Pós‐graduação de Ecologia e Manejo de Recursos Naturais Universidade Federal do Acre Rio Branco Brazil

Abstract

Abstract Niche and dispersal‐based processes govern freshwater communities, such as aquatic insects, shaping their distribution and establishment in the environment. So, we aimed to address the relative influence of niche and dispersal‐based processes on Odonata diversity in Amazonian freshwater systems, and the influence of species dispersal functional traits on their longitudinal and latitudinal ranges. We used the Dispersal‐Niche Continuum Index (DNCI) to test (i) regions more distant would present a prevalence of dispersal‐based processes, and (ii) different patterns would come from the two Odonata suborders; and by applying generalised linear models, we tested (iii) dispersal‐related functional traits from the suborders would influence latitudinal and longitudinal midpoints of the species. We found that more distant regions had lower values of pairwise Dispersal–Niche Continuum, mainly for Zygoptera, corroborating our first hypothesis. Moreover, Zygoptera also presented the lowest absolute values of Dispersal–Niche Continuum and Anisoptera presented a joint influence of niche and dispersal‐based processes, agreeing with our second hypothesis. Only Zygoptera presented a significant association between dispersal functional traits and longitudinal midpoints, corroborating our third hypothesis. Our results indicated a prevalence of dispersal‐related processes for Zygoptera, which can be explained by massive geographical barriers, such as the rivers, and their narrow physiological and ecological tolerance. Moreover, dispersal‐related traits demonstrated significant influence on longitudinal midpoints of Zygoptera, a scenario that the presence of the rivers may explain. A better understanding of the prevalent predictors of the species and how their dispersal ability governs their distribution has conservational implications.

Funder

Institute of Food Technologists

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

Wiley

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