High-Throughput iNaturalist Image Analysis Reveals Flower Color Divergence in Monarda fistulosa .

Abstract

AbstractCharacterizing patterns of trait variation across widespread species is a fundamental goal of natural history. Here we create a pipeline to analyze a large community science dataset and test hypothesized flower color divergence across the range of an abundant wildflower. Monarda fistulosa is a North American perennial that produces showy lavender inflorescences. Although previous literature suggests that the flowers of western M. fistulosa might display a deeper purple color than the eastern varieties, this divergence has not been assessed at scale. We process more than 40,000 community science photographs of M. fistulosa to identify flowers and extract color. We demonstrate that the flowers of the montane western variety have lower lightness and higher chroma, corresponding to a deeper violet color, than those of eastern M. fistulosa . Our approach and validation provides a scalable framework for phenotyping community science images and enables analysis of geographic color variation in other widespread species.

Plant phenotyping relevance

市民科学画像から花を識別し、色形質を抽出するスケーラブルな画像解析パイプラインを開発・検証しており、植物表現型の取得方法が研究の中心です。

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