Bird-window collisions: A comprehensive dataset for the Neotropical region.

Area of Science:

• Ornithology
• Conservation Biology
• Ecology

Background:

• Bird-window collisions are a significant threat to avian populations globally.
• The Neotropical region, a biodiversity hotspot, lacks comprehensive data on bird-window collisions.
• Understanding collision patterns is crucial for developing effective conservation strategies.

Purpose of the Study:

• To create the first comprehensive dataset of bird-window collisions in the Neotropical region.
• To standardize data collection and validation for future research.
• To identify regional and temporal patterns in bird-window collisions.

Main Methods:

• Disseminated data collection invitations via email and social media.
• Utilized a standardized template worksheet for data submission.
• Sent a survey to collaborators to understand data acquisition methods.
• Applied rigorous validation and curation criteria for data inclusion.

Main Results:

• Compiled 4103 bird-window collision reports from 11 Neotropical countries (1946-2020).
• Identified Passeriformes, Columbiformes, and Apodiformes as the most frequently affected orders.
• Observed potential seasonal patterns, with peaks in March-April and October-November, aligning with migration and breeding seasons.
• Data were collected through systematic protocols, incidental observations, government agencies, and other methods.

Conclusions:

• This dataset represents a significant advancement in understanding bird-window collisions in the Neotropics.
• The findings provide valuable insights for targeted conservation policies and further scientific research.
• The open-access data can be utilized to mitigate avian mortality from window strikes.