Ferreira Victor Rennan Santos, de Resende Bethânia Oliveira, Bastos Rafael Costa, da Brito Joás Silva, de Carvalho Fernando Geraldo, Calvão Lenize Batista, Oliveira-Junior José Max Barbosa, Neiss Ulisses Gaspar, Ferreira Rhainer, Juen Leandro
Laboratório de Ecologia e Conservação (LABECO) Universidade Federal do Pará Belém Pará Brazil.
Laboratório de Estudos de Impacto Ambiental (LEIA), Instituto de Ciências e Tecnologia das Águas (ICTA) Universidade Federal do Oeste do Pará Santarém Pará Brazil.
Ecol Evol. 2023 Jun 15;13(6):e10149. doi: 10.1002/ece3.10149. eCollection 2023 Jun.
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).
关于蜻蛉目知识空白的讨论在文献中很常见。在处理像亚马逊雨林这样生物多样环境的基础生物学数据时,这些空白甚至更大。因此,涉及、分类和规范功能性状的研究有助于构建广泛的生态和进化假说。此外,此类工作通过更好地理解在环境变化下哪些功能性状被筛选或受到青睐,有助于保护和管理规划。在此,我们的主要目标是创建一个包含巴西亚马逊地区218种蜻蛉目物种68个功能性状的数据库。我们从419篇归类于不同研究领域的文献来源中提取了关于行为、习性/栖息地(幼虫和成虫)、体温调节和地理分布的数据。此外,我们测量了约2500只成虫的22个形态性状,并根据美洲约40000条地理记录对物种分布进行了分类。结果,我们提供了一个功能矩阵,确定了蜻蛉目亚目的不同功能模式,以及不同性状类别之间的紧密关系。因此,我们建议选择代表一组功能变量的关键性状,以减少采样工作量。总之,我们发现并讨论了文献中的空白,并建议利用当前的亚马逊蜻蛉目性状库(AMO-TB)开展相关研究。