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鸟类与栖息于羽片的羽螨之间的全球关联。

Global associations between birds and vane-dwelling feather mites.

作者信息

Doña Jorge, Proctor Heather, Mironov Sergey, Serrano David, Jovani Roger

机构信息

Department of Evolutionary Ecology, Estación Biológica de Doñana (CSIC), Avenida Americo Vespucio, s/n, Isla de la Cartuja, Sevilla, 41092, Spain.

Department of Biological Sciences, University of Alberta, Edmonton, Alberta, T6G 2E9, Canada.

出版信息

Ecology. 2016 Nov;97(11):3242. doi: 10.1002/ecy.1528. Epub 2016 Oct 4.

Abstract

Understanding host-symbiont networks is a major question in evolutionary ecology. Birds host a great diversity of endo- and ectosymbiotic organisms, with feather mites (Arachnida: Acariformes: Analgoidea, Pterolichoidea) being among the most diverse of avian symbionts. A global approach to the ecology and evolution of bird-feather-mite associations has been hampered because of the absence of a centralized data repository. Here we present the most extensive data set of associations between feather mites and birds. Data include 12 036 records of 1887 feather mite species located on the flight feathers of 2234 bird species from 147 countries. Feather mites typically located inside quills, on the skin, or on downy body feathers are not included. Data were extracted from 493 published sources dating from 1882 to 2015. Data exploration shows that although most continents and bird families are represented, most bird species remain unexplored for feather mites. Nevertheless, this is the most comprehensive data set available for enabling global macroecological analyses of feather mites and their hosts, such as ecological network analyses. This metadata file outlines the structure of these data and provides primary references for all records used.

摘要

了解宿主 - 共生体网络是进化生态学中的一个主要问题。鸟类宿主着种类繁多的内共生和外共生生物,羽螨(蛛形纲:真螨目:臀螨总科、翼螨总科)是鸟类共生体中种类最为多样的类群之一。由于缺乏一个集中的数据存储库,对鸟类 - 羽螨关联的生态学和进化的全球研究方法受到了阻碍。在此,我们展示了羽螨与鸟类之间最广泛的关联数据集。数据包括来自147个国家的2234种鸟类飞羽上1887种羽螨的12036条记录。位于羽轴内、皮肤上或绒羽上的羽螨不包括在内。数据从1882年至2015年发表的493个来源中提取。数据探索表明,尽管大多数大陆和鸟类科都有代表,但大多数鸟类物种的羽螨情况仍未得到研究。然而,这是可用于对羽螨及其宿主进行全球宏观生态分析(如生态网络分析)的最全面的数据集。此元数据文件概述了这些数据的结构,并为所有使用的记录提供了主要参考文献。

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