ArticleApplications in plant sciences2019
A new phenological metric for use in pheno-climatic models: A case study using herbarium specimens of
Article in Applications in plant sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 23 citations in OpenAlex.
- Specimen-tailored 'lived' climate reveals precipitation onset and amount best predict specimen phenology, but only weakly predict estimated reproduction across a clade.The New phytologist · 2026Article
- Retrospective phenology in western Mediterranean plants: revealing climate change patterns through herbarium specimens.AoB PLANTS · 2025Article
- Phenological Shifts Since 1830 in 29 Native Plant Species of California and Their Responses to Historical Climate Change.Plants (Basel, Switzerland) · 2025Article
- Machine Learning Undercounts Reproductive Organs on Herbarium Specimens but Accurately Derives Their Quantitative Phenological Status: A Case Study ofPlants (Basel, Switzerland) · 2021Article
- Machine Learning Using Digitized Herbarium Specimens to Advance Phenological Research.Bioscience · 2020Article
- A new fine-grained method for automated visual analysis of herbarium specimens: A case study for phenological data extraction.Applications in plant sciences · 2020Article
- A New Method for Counting Reproductive Structures in Digitized Herbarium Specimens Using Mask R-CNN.Frontiers in plant science · 2020Article
- A new phenological metric for use in pheno-climatic models: A case study using herbarium specimens ofApplications in plant sciences · 2019Article
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
premiseHerbarium specimens have been used to detect climate-induced shifts in flowering time by using the day of year of collection (DOY) as a proxy for first or peak flowering date. Variation among herbarium sheets in their phenological status, however, undermines the assumption that DOY accurately represents any particular phenophase. Ignoring this variation can reduce the explanatory power of pheno-climatic models (PCMs) designed to predict the effects of climate on flowering date.
methodsHere we present a protocol for the phenological scoring of imaged herbarium specimens using an ImageJ plugin, and we introduce a quantitative metric of a specimen's phenological status, the phenological index (PI), which we use in PCMs to control for phenological variation among specimens of
resultsIncluding PI in PCMs increased the model DISCUSSION: Our protocol provides a simple, quantitative phenological metric for any observed plant. Including PI in PCMs increases
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