pavo visual modeling

Knowledge graph centered on pavo visual modeling with 68 nodes and 178 connections. Top connected: Bombus, Ipomopsis, Ligusticum porteri, Delphinium, I. aggregata.

Method synopsis

Conversion of reflectance spectra into bee and bird visual spaces using established photoreceptor sensitivity models. Uses color hexagon model for bees and receptor-noise limited model for birds to calculate perceived color differences.

Synthesized from method descriptions across 2 papers using this protocol.

Procedure from a recent peer-reviewed implementation

Steps below were extracted from the most recent peer-reviewed implementation of this protocol in the corpus — Birds Perceive More Intraspecific Color Variation in Bird-Pollinated Than Bee-Pollinated Flowers (2020), Frontiers in Plant Science. doi 10.3389/fpls.2020.590347. Implementations in other papers (listed below) may differ.

1. Spectral processing and visual modeling
   Trimmed spectra to 300-700 nm and set spurious negative reflectance values to zero. Estimated subjective color perception using receptor-noise limited model for birds with violet-sensitive photoreceptors and color hexagon model for bees using Apis mellifera photoreceptor sensitivities. Calculated pairwise Euclidean distances between all flowers within each population in both visual spaces.
   Quantities: Wavelength range 300-700 nm, all pairwise comparisons within populations calculatedDuration: Post-collection processingConditions: Used R package 'pavo' for spectral processing
   Equipment: R statistical software, pavo package
2. Discrimination threshold analysis
   Compared pairwise color space distances to behaviorally validated discrimination thresholds (1.0 for birds, 0.11 hexagon units for bees). Calculated fraction of intrapopulation flower-flower comparisons that exceeded these thresholds as measure of perceived color variation. Used 15 samples per population with 105 possible pairwise comparisons.
   Quantities: 15 samples per population, 105 pairwise comparisons per population, discrimination thresholds of 1.0 (birds) and 0.11 (bees)Duration: Computational analysisConditions: Used established discrimination thresholds from literature
   Equipment: R statistical software

Typical Equipment

• R statistical software
• pavo package

Output Measurements

• color coordinates in visual space
• Euclidean distances between colors
• discrimination thresholds

Papers Using This Protocol (2)

Species Studied With This Protocol