Results 181 to 190 of about 11,203 (251)

The promise of digital herbarium specimens in large‐scale phenology research

open access: yesNew Phytologist, Volume 251, Issue 2, Page 617-624, July 2026.
Summary The online mobilization of herbaria has made tens of millions of specimens digitally available, revolutionizing investigations of phenology and plant responses to climate change. We identify two main themes associated with this growing body of research and highlight a selection of recent publications exemplifying: investigating phenology at ...
Natalie Iwanycki Ahlstrand   +5 more
wiley   +1 more source

Bridging data silos to holistically model plant macrophenology

open access: yesNew Phytologist, Volume 251, Issue 2, Page 625-636, July 2026.
Summary Phenological response to global climate change can impact ecosystem functions. There are various data sources from which spatiotemporal and taxonomic phenological data may be obtained: mobilized herbaria, community science initiatives, observatory networks, and remote sensing.
Lizbeth G. Amador   +9 more
wiley   +1 more source

DNA-based identification of plants and the genomic nature of plant species differences. [PDF]

open access: yesCommun Biol
Huang W   +35 more
europepmc   +1 more source

Using reflectance spectra and Pl@ntNet to identify herbarium specimens: a case study with Lithocarpus

open access: yesNew Phytologist, Volume 251, Issue 2, Page 800-810, July 2026.
Summary The digitisation of plant collections is bringing large quantities of information into accessible electronic databases. However, in recent decades, traditional taxonomic work in collections has declined, meaning that more specimens are only determined to family or genus, particularly when lacking key identification structures.
Barbara M. Neto‐Bradley   +5 more
wiley   +1 more source

Automated extraction of leaf mass per area from digitized herbarium specimens

open access: yesNew Phytologist, Volume 251, Issue 2, Page 896-908, July 2026.
Summary The digitization of vast herbarium collections has made millions of plant specimen images freely available online, which can now be used to generate phenotypic datasets of unprecedented scope. Here, we assess the potential of computer vision tools to automate the extraction of predicted leaf mass per area (LMApred) from digitized herbarium ...
Thais Vasconcelos   +4 more
wiley   +1 more source

Specimen‐tailored ‘lived’ climate reveals precipitation onset and amount best predict specimen phenology, but only weakly predict estimated reproduction across a clade

open access: yesNew Phytologist, Volume 251, Issue 2, Page 768-781, July 2026.
Summary Herbarium specimens are widely distributed in space and time, thereby capturing diverse conditions. We reconstructed specimen ‘lived’ climate from knowledge of germination cues and collection dates for 14 annual species in the Streptanthus (s.l.) clade (Brassicaceae) to ask: which climate attributes best explain specimen phenological stage and ...
Megan Bontrager   +6 more
wiley   +1 more source

Seeing herbaria in a new light: leaf reflectance spectroscopy unlocks trait and classification modeling in plant biodiversity collections

open access: yesNew Phytologist, Volume 251, Issue 2, Page 811-829, July 2026.
Summary Reflectance spectroscopy is a rapid method for estimating traits and discriminating species. Spectral libraries from herbarium specimens represent an untapped resource for generating broad phenomic datasets across space, time, and taxa. We conducted a proof‐of‐concept study using trait data and spectra from herbarium specimens up to 179 yr old,
Dawson M. White   +6 more
wiley   +1 more source

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