ArticlePeerJ2019
Estimating flowering transition dates from status-based phenological observations: a test of methods.
Article in PeerJ, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed.
- Network robustness and structure depend on the phenological characteristics of plants and pollinators.Ecology and evolution · 2021Article
- Low-cost observations and experiments return a high value in plant phenology research.Applications in plant sciences · 2020Review
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The scale of phenological research has expanded due to the digitization of herbarium specimens and volunteer based contributions. These data are status-based, representing the presence or absence of a specific phenophase. Modelling the progress of plant dormancy to growth and reproduction and back to dormancy requires estimating the transition dates from these status-based observations. There are several methods available for this ranging from statistical moments using the day of year to newly introduced methods using concepts from other fields. Comparing the proficiency of different estimators is difficult since true transition dates are rarely known. Here I use a recently released dataset of in-situ flowering observations of the perennial forb
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