Protocol to quantify bird nest morphology via image analyses using linear measurements and geometric landmarks

Area of Science:

• Ornithology
• Bioimaging
• Quantitative Morphology

Background:

• Understanding bird nest morphology is crucial for studying avian ecology and evolution.
• Quantifying nest variation requires standardized and repeatable measurement techniques.
• Previous methods for nest analysis may lack precision or scalability.

Purpose of the Study:

• To present a novel protocol for quantifying bird nest morphology using image analysis.
• To detail methods for collecting linear measurements and geometric landmark data.
• To enable the assessment of within- and among-individual variation in nest structure.

Main Methods:

• Image analysis for nest morphology quantification.
• Collection of linear size measurements from nest images.
• Placement of geometric landmarks and generalized Procrustes analysis for coordinate data extraction.
• Application to dome nests built by captive zebra finches using coconut fiber.

Main Results:

• The protocol provides a standardized method for nest morphology analysis.
• It allows for the extraction of quantitative coordinate data from nest images.
• Demonstrated application in measuring variation in zebra finch nests.

Conclusions:

• This image analysis protocol offers a robust approach to quantifying bird nest morphology.
• It facilitates detailed studies on the factors influencing nest construction and variation.
• The protocol is applicable to laboratory-based studies of avian nesting behavior and morphology.