[HTML][HTML] Deep learning in plant phenological research: A systematic literature review

N Katal, M Rzanny, P Mäder, J Wäldchen - Frontiers in Plant Science, 2022 - frontiersin.org
Climate change represents one of the most critical threats to biodiversity with far-reaching
consequences for species interactions, the functioning of ecosystems, or the assembly of …

New directions in tropical phenology

CC Davis, GM Lyra, DS Park, R Asprino… - Trends in ecology & …, 2022 - cell.com
Earth's most speciose biomes are in the tropics, yet tropical plant phenology remains poorly
understood. Tropical phenological data are comparatively scarce and viewed through the …

Digitization and the future of natural history collections

BP Hedrick, JM Heberling, EK Meineke, KG Turner… - …, 2020 - academic.oup.com
Natural history collections (NHCs) are the foundation of historical baselines for assessing
anthropogenic impacts on biodiversity. Along these lines, the online mobilization of …

Machine learning using digitized herbarium specimens to advance phenological research

KD Pearson, G Nelson, MFJ Aronson, P Bonnet… - …, 2020 - academic.oup.com
Abstract Machine learning (ML) has great potential to drive scientific discovery by harvesting
data from images of herbarium specimens—preserved plant material curated in natural …

Reversing extinction trends: new uses of (old) herbarium specimens to accelerate conservation action on threatened species

G Albani Rocchetti, CG Armstrong, T Abeli… - New …, 2021 - Wiley Online Library
Although often not collected specifically for the purposes of conservation, herbarium
specimens offer sufficient information to reconstruct parameters that are needed to …

Scale gaps in landscape phenology: challenges and opportunities

DS Park, EA Newman, IK Breckheimer - Trends in Ecology & Evolution, 2021 - cell.com
Phenology, or the timing of life history events, can be heterogeneous across biological
communities and landscapes and can vary across a wide variety of spatiotemporal scales …

Plant eco-evolutionary responses to climate change: Emerging directions

E Hamann, D Denney, S Day, E Lombardi, MI Jameel… - Plant Science, 2021 - Elsevier
Contemporary climate change is exposing plant populations to novel combinations of
temperatures, drought stress,[CO 2] and other abiotic and biotic conditions. These changes …

Methods for broad‐scale plant phenology assessments using citizen scientists' photographs

VV Barve, L Brenskelle, D Li, BJ Stucky… - Applications in Plant …, 2020 - Wiley Online Library
Premise Citizen science platforms for sharing photographed digital vouchers, such as iN
aturalist, are a promising source of phenology data, but methods and best practices for use …

[HTML][HTML] Plants meet machines: Prospects in machine learning for plant biology

PS Soltis, G Nelson, A Zare… - Applications in Plant …, 2020 - ncbi.nlm.nih.gov
The application of machine learning methods to extract data from herbarium specimens has
grown and diversified in a few short years, beginning with species identification in a specific …

Herbarium records provide reliable phenology estimates in the understudied tropics

DS Park, GM Lyra, AM Ellison… - Journal of …, 2023 - Wiley Online Library
Plant phenology has been shifting dramatically in response to climate change, a shift that
may have significant and widespread ecological consequences. Of particular concern are …