Division of Forest Protection, Taiwan Forestry Research Institute, Taipei City, 10066, Taiwan.
School of Forestry and Resource Conservation, National Taiwan University, Taipei City, 10611, Taiwan.
Sci Data. 2024 Oct 3;11(1):1076. doi: 10.1038/s41597-024-03928-3.
Trait-based methodologies are gaining traction in the field of ecology, providing deeper insights into ecosystem structure and functions. To this end, trait databases tailored to specific taxonomic groups have become foundational. In Taiwan, the collaborative efforts of avian researchers and dedicated citizen scientists have led to the compilation of a vast array of data. This includes web-sourced images from social media, spatial distribution records from eBird, and morphological metrics from banded birds and specimens. Enriched by peer-reviewed literature, we have meticulously assembled a comprehensive trait dataset encompassing 454 bird species across 73 families. This dataset covers a wide range of traits, including foraging ecology, morphological characteristics, territorial behaviors, breeding attributes, and the roles of bird species in ecosystem regulation. As an invaluable resource, this dataset lays the foundation for in-depth exploration of functional diversity, trait-based community ecology, ecosystem function, and critical insights needed to shape conservation strategies.
基于特征的方法在生态学领域越来越受到关注，为深入了解生态系统结构和功能提供了更深入的见解。为此，针对特定分类群定制的特征数据库已成为基础。在台湾，鸟类研究人员和热心的公民科学家的合作努力导致了大量数据的编制。这包括来自社交媒体的网络来源图像、来自 eBird 的空间分布记录以及来自戴环鸟类和标本的形态度量。通过同行评审的文献进行丰富，我们精心整理了一个包含 73 个科的 454 种鸟类的综合特征数据集。该数据集涵盖了广泛的特征，包括觅食生态学、形态特征、领地行为、繁殖属性以及鸟类在生态系统调节中的作用。作为一个宝贵的资源，该数据集为深入探索功能多样性、基于特征的群落生态学、生态系统功能以及制定保护策略所需的关键见解奠定了基础。
