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How to measure flower ultraviolet reflectance using digital photography

Applied vegetation science · 1 Jan 2022 · 10.1111/avsc.12648

Abstract

AIMS: Flower ultraviolet (UV) reflectance strongly influences insects’ ability to detect flowers and locate pollen/nectar sources. Although included in the TRY database, the lack of a cost‐effective standardised method of measurement hampers the availability of information on this key floral trait. Digital photography and image processing allow for a novel approach to flower UV reflectance measurement that is both accessible and accurate. LOCATION: European semi‐natural grasslands. METHODS: We used a UV‐LED light and a mirrorless camera with a filter, which represents a low‐cost equipment for narrow emission/reflection photography (350–380 nm). Flowers were photographed with two standards of known reflection, and UV reflectance values were obtained using open‐source image processing software. We measured UV reflectance for 57 plant species typical of European semi‐natural grasslands. RESULTS: Our values substantially matched the categorical classes obtained by analogue photography available in TRY and showed a highly significant relationship with spectrophotometric measures. CONCLUSIONS: The method proposed here overcomes the one based on analogue photography and subjective visual estimates, and represents an easy and low‐cost alternative to spectrophotometry. It may promote the standardised measurement of flower UV reflectance and broaden the information of this trait globally, meeting the needs of functional ecology and trait‐based community assembly studies.

Plant phenotyping relevance

花のUV反射率という植物形質をデジタル撮影・画像処理で測定する低コスト手法を開発し、分光測定等と検証しており、フェノタイピング手法が中心である。

abstractDigital photography and image processing allow for a novel approach to flower UV reflectance measurement that is both accessible and accurate.
abstractFlowers were photographed with two standards of known reflection, and UV reflectance values were obtained using open‐source image processing software.
abstractThe method proposed here overcomes the one based on analogue photography and subjective visual estimates, and represents an easy and low‐cost alternative to spectrophotometry.

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