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Trends in Ecology & Evolution
Article . 2017 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Old Plants, New Tricks: Phenological Research Using Herbarium Specimens

Authors: Department of Organismic and Evolutionary Biology and Harvard University Herbaria, Harvard University, Cambridge, MA 02138, USA ( host institution ); Willis, Charles G. ( author ); Ellwood, Elizabeth R. ( author ); Primack, Richard B. ( author ); Davis, Charles C. ( author ); Pearson, Katelin D. ( author ); Gallinat, Amanda S. ( author ); +6 Authors

Old Plants, New Tricks: Phenological Research Using Herbarium Specimens

Abstract

The timing of phenological events, such as leaf-out and flowering, strongly influence plant success and their study is vital to understanding how plants will respond to climate change. Phenological research, however, is often limited by the temporal, geographic, or phylogenetic scope of available data. Hundreds of millions of plant specimens in herbaria worldwide offer a potential solution to this problem, especially as digitization efforts drastically improve access to collections. Herbarium specimens represent snapshots of phenological events and have been reliably used to characterize phenological responses to climate. We review the current state of herbarium-based phenological research, identify potential biases and limitations in the collection, digitization, and interpretation of specimen data, and discuss future opportunities for phenological investigations using herbarium specimens.

Country
United States
Keywords

flowering, Evolutionary Biology, plants, Climate Change, Temperature, Flowers, Biological Sciences, Plants, phenology, Climate Action, climate change, Seasons, museums, Environmental Sciences, Phylogeny

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    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    290
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 0.1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 1%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
290
Top 0.1%
Top 1%
Top 1%
Green
bronze