A trait dataset for Taiwan's breeding birds

Area of Science:

• Ecology
• Biodiversity Science
• Ornithology

Background:

• Species traits are crucial for understanding ecosystem roles, population dynamics, and community assembly.
• Trait information is vital for conservation planning, yet often scarce and fragmented.
• Even for well-studied taxa like birds, comprehensive trait data is frequently unavailable.

Purpose of the Study:

• To compile a comprehensive dataset of 23 traits for all breeding bird species in Taiwan and surrounding islands.
• To address the knowledge gap in species trait information for ecological and conservation research.
• To provide a valuable resource for trait-based research on avian biodiversity in Taiwan.

Main Methods:

• Compiled trait information from diverse sources including literature, datasets, unpublished records, and specimen measurements.
• Included 23 distinct traits covering movement, morphology, distribution, behavior, and breeding strategies.
• Incorporated derived traits such as elevation and temperature boundaries, and novel nest character data.

Main Results:

• Created the most comprehensive trait dataset to date for breeding birds in Taiwan.
• The dataset covers 157 resident and 14 summer visiting species.
• Includes structured data on nest characteristics, previously underrepresented in trait databases.

Conclusions:

• The newly compiled dataset significantly enhances the availability of species trait information for Taiwanese breeding birds.
• This resource will facilitate trait-based research, improving understanding of avian diversity patterns and ecosystem functions.
• The dataset supports diverse applications in ecology and conservation, aiding effective biodiversity management in Taiwan.