Amazonian Odonata Trait Bank.

Autor: Ferreira VRS; Laboratório de Ecologia e Conservação (LABECO) Universidade Federal do Pará Belém Pará Brazil., de Resende BO; Laboratório de Ecologia e Conservação (LABECO) Universidade Federal do Pará Belém Pará Brazil., Bastos RC; Laboratório de Ecologia e Conservação (LABECO) Universidade Federal do Pará Belém Pará Brazil., da Brito JS; Laboratório de Ecologia e Conservação (LABECO) Universidade Federal do Pará Belém Pará Brazil., de Carvalho FG; Laboratório de Ecologia e Conservação (LABECO) Universidade Federal do Pará Belém Pará Brazil., Calvão LB; Laboratório de Ecologia e Conservação (LABECO) Universidade Federal do Pará Belém Pará Brazil., Oliveira-Junior JMB; Laboratório de Estudos de Impacto Ambiental (LEIA), Instituto de Ciências e Tecnologia das Águas (ICTA) Universidade Federal do Oeste do Pará Santarém Pará Brazil., Neiss UG; Instituto Nacional de Pesquisas da Amazônia (INPA) Universidade Federal do Amazonas Manaus Amazonas Brazil., Ferreira R; Laboratório de Estudos Ecológicos em Etologia e Evolução (LESTES Lab) Universidade Federal do Triângulo Mineiro Uberaba Minas Gerais Brazil., Juen L; Laboratório de Ecologia e Conservação (LABECO) Universidade Federal do Pará Belém Pará Brazil.
Jazyk: angličtina
Zdroj: Ecology and evolution [Ecol Evol] 2023 Jun 15; Vol. 13 (6), pp. e10149. Date of Electronic Publication: 2023 Jun 15 (Print Publication: 2023).
DOI: 10.1002/ece3.10149
Abstrakt: Discussion regarding the gaps of knowledge on Odonata is common in the literature. Such gaps are even greater when dealing with basic biological data for biodiverse environments like the Amazon Rainforest. Therefore, studies that address, classify, and standardize functional traits allow the elaboration of a wide range of ecological and evolutionary hypotheses. Moreover, such endeavors aid conservation and management planning by providing a better understanding of which functional traits are filtered or favored under environmental changes. Here, our main goal was to produce a database with 68 functional traits of 218 Odonata species that occur in the Brazilian Amazon. We extracted data on behavior, habit/habitat (larvae and adults), thermoregulation, and geographic distribution from 419 literature sources classified into different research areas. Moreover, we measured 22 morphological traits of approximately 2500 adults and categorized species distributions based on approximately 40,000 geographic records for the Americas. As a result, we provided a functional matrix and identified different functional patterns for the Odonata suborders, as well as a strong relationship between the different trait categories. For this reason, we recommend the selection of key traits that represent a set of functional variables, reducing the sampling effort. In conclusion, we detect and discuss gaps in the literature and suggest research to be developed with the present Amazonian Odonata Trait Bank (AMO-TB).
Competing Interests: All authors declare that there is no conflict of interest in this research.
(© 2023 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd.)
Databáze: MEDLINE
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