On the public citation graph
Methods for broad‐scale plant phenology assessments using citizen scientists’ photographs
0 signed · 104 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/aps3.1022openalex-snapshot
Digitization protocol for scoring reproductive phenology from herbarium specimens of seed plants
inferredcites →https://doi.org/10.1002/aps3.11315openalex-snapshot
Methods for broad‐scale plant phenology assessments using citizen scientists’ photographs
inferredcites →https://doi.org/10.1002/aps3.1229openalex-snapshot
Patterns and biases in an Arctic herbarium specimen collection: Implications for phenological research
inferredcites →https://doi.org/10.1002/aps3.1231openalex-snapshot
Integrating herbarium specimen observations into global phenology data systems
inferredcites →https://doi.org/10.1002/aps3.1233openalex-snapshot
Toward a large‐scale and deep phenological stage annotation of herbarium specimens: Case studies from temperate, tropical, and equatorial floras
inferredcites →https://doi.org/10.1002/ecs2.1303openalex-snapshot
The plant phenology monitoring design for The National Ecological Observatory Network
inferredcites →https://doi.org/10.1016/0169-5347(92)90175-bopenalex-snapshot
Flowering phenology: An example of relaxation of natural selection?
inferredcites →https://doi.org/10.1016/j.biocon.2013.07.003openalex-snapshot
Organizing phenological data resources to inform natural resource conservation
inferredcites →https://doi.org/10.1016/j.landurbplan.2011.12.013openalex-snapshot
Urbanization diversifies land surface phenology in arid environments: Interactions among vegetation, climatic variation, and land use pattern in the Phoenix metropolitan region, USA
inferredcites →https://doi.org/10.1016/j.tree.2007.04.003openalex-snapshot
Shifting plant phenology in response to global change
inferredcites →https://doi.org/10.1016/j.tree.2017.03.015openalex-snapshot
Old Plants, New Tricks: Phenological Research Using Herbarium Specimens
inferredcites →https://doi.org/10.1038/s41598-017-02045-zopenalex-snapshot
Increasing phenological asynchrony between spring green-up and arrival of migratory birds
inferredcites →https://doi.org/10.1098/rstb.2010.0142openalex-snapshot
Why does phenology drive species distribution?
inferredcites →https://doi.org/10.1098/rstb.2017.0394openalex-snapshot
Herbarium specimens reveal substantial and unexpected variation in phenological sensitivity across the eastern United States
inferredcites →https://doi.org/10.1111/ele.13134openalex-snapshot
To replicate, or not to replicate – that is the question: how to tackle nonlinear responses in ecological experiments
inferredcites →https://doi.org/10.1111/gcb.14447openalex-snapshot
Overlooked climate parameters best predict flowering onset: Assessing phenological models using the elastic net
inferredcites →https://doi.org/10.1111/oik.01523openalex-snapshot
Phenological shifts and the fate of mutualisms
inferredcites →https://doi.org/10.1146/annurev.es.16.110185.001143openalex-snapshot
Phenological Patterns of Terrestrial Plants
inferredcites →https://doi.org/10.1371/journal.pone.0197325openalex-snapshot
Observing vegetation phenology through social media
inferredcites →https://doi.org/10.1890/110281openalex-snapshot
From Caprio's lilacs to the USA National Phenology Network
inferredcites →https://doi.org/10.1890/12-2003.1openalex-snapshot
Early onset of spring increases the phenological mismatch between plants and pollinators
inferredcites →https://doi.org/10.2307/3669953openalex-snapshot
Reproductive and Vegetative Growth Patterns in Yucca elata Engelm. (Liliaceae)
inferredcites →https://doi.org/10.32614/r.manualsopenalex-snapshot
R: A Language and Environment for Statistical Computing
inferredcites →https://doi.org/10.3389/fpls.2018.00517openalex-snapshot
The Plant Phenology Ontology: A New Informatics Resource for Large-Scale Integration of Plant Phenology Data
inferredcites →https://doi.org/10.3732/ajb.1500237openalex-snapshot
Herbarium records are reliable sources of phenological change driven by climate and provide novel insights into species' phenological cueing mechanisms
inferredcites →https://doi.org/10.3732/ajb.1600053openalex-snapshot
Specialization in the yucca–yucca moth obligate pollination mutualism: A role for antagonism?
inferredcites →https://doi.org/10.5962/bhl.part.9957openalex-snapshot
Taxonomic and cytological relationships of Yucca and Agave
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.11646/zootaxa.5380.3.1zenodo-depositor-declared
A revision of the genus Ima Tindale (Mantodea: Nanomantidae: Fulciniinae) with the description of a new genus
inferred← citeshttps://doi.org/10.1002/2688-8319.12295openalex-snapshot
Overcoming biodiversity blindness: Secondary data in primary citizen science observations
inferred← citeshttps://doi.org/10.1002/ajb2.16188openalex-snapshot
Beyond the usual climate? Factors determining flowering and fruiting phenology across a genus over 117 years
inferred← citeshttps://doi.org/10.1002/ajb2.1793openalex-snapshot
Macrophenology: insights into the broad‐scale patterns, drivers, and consequences of phenology
inferred← citeshttps://doi.org/10.1002/ajb2.70240openalex-snapshot
Reproductive stages in lowbush blueberry ( Vaccinium angustifolium ) occur earlier with increasing temperature
inferred← citeshttps://doi.org/10.1002/aps3.11546openalex-snapshot
A pipeline for the rapid collection of color data from photographs
inferred← citeshttps://doi.org/10.1002/aps3.1233openalex-snapshot
Toward a large‐scale and deep phenological stage annotation of herbarium specimens: Case studies from temperate, tropical, and equatorial floras
inferred← citeshttps://doi.org/10.1002/aps3.70043openalex-snapshot
Animal‐mediated seed dispersal: A review of study methods
inferred← citeshttps://doi.org/10.1002/ecs2.4582openalex-snapshot
Turning observations into biodiversity data: Broadscale spatial biases in community science
inferred← citeshttps://doi.org/10.1002/ecy.3258openalex-snapshot
Digital biodiversity data sets reveal breeding phenology and its drivers in a widespread North American mammal
inferred← citeshttps://doi.org/10.1002/ecy.4403openalex-snapshot
Distinct latitudinal patterns of shifting spring phenology across the Appalachian Trail Corridor
inferred← citeshttps://doi.org/10.1002/ppp3.70054openalex-snapshot
iNaturalist projects represent a valuable resource for aggregating plant observations and engaging society: A case study of the Flora of Mongolia project
inferred← citeshttps://doi.org/10.1002/ppp3.70059openalex-snapshot
Leveraging machine learning and citizen science data to describe flowering phenology across South Africa
inferred← citeshttps://doi.org/10.1007/978-3-030-86688-4_17openalex-snapshot
Caterpillar Patterns in Space and Time: Insights From and Contrasts Between Two Citizen Science Datasets
inferred← citeshttps://doi.org/10.1007/s00484-022-02322-1openalex-snapshot
Spatial heterogeneity of first flowering date in Beijing’s main urban area and its response to urban thermal environment
inferred← citeshttps://doi.org/10.1007/s00484-025-02972-xopenalex-snapshot
Expanding phenological insights: automated phenostage annotation with community science plant images
inferred← citeshttps://doi.org/10.1007/s10841-024-00644-6openalex-snapshot
Impact of climate warming and landscape change on monarch butterfly
inferred← citeshttps://doi.org/10.1007/s11252-023-01369-1openalex-snapshot
A mowing strategy for urban parks to support spring flowers in a mediterranean climate city in South Africa
inferred← citeshttps://doi.org/10.1016/j.agrformet.2022.109133openalex-snapshot
Citizen science helps predictions of climate change impact on flowering phenology: A study on Anemone nemorosa
inferred← citeshttps://doi.org/10.1016/j.biocontrol.2026.106045openalex-snapshot
Overcoming phenological asynchrony between target and non-target species in host-specificity testing: The case of Gillmeria ochrodactyla on Tanacetum vulgare
inferred← citeshttps://doi.org/10.1016/j.ecoinf.2021.101544openalex-snapshot
Fractional coverage rather than green chromatic coordinate is a robust indicator to track grassland phenology using smartphone photography
inferred← citeshttps://doi.org/10.1016/j.ecoinf.2025.103316openalex-snapshot
Evaluating the use of automated plant identification tools in biodiversity monitoring—a case study in Switzerland
inferred← citeshttps://doi.org/10.1016/j.gecco.2025.e03739openalex-snapshot
Diversify first! Fatten the tails of phenotypic diversity to enhance adaptive capacity in the Anthropocene
inferred← citeshttps://doi.org/10.1016/j.indic.2026.101381openalex-snapshot
Beescape and BeeSpatial: Making multi-scale environmental indicators of bee habitat accessible across audiences
inferred← citeshttps://doi.org/10.1016/j.isci.2022.104784openalex-snapshot
Computer vision for assessing species color pattern variation from web-based community science images
inferred← citeshttps://doi.org/10.1016/j.ophoto.2022.100016openalex-snapshot
Transfer learning from citizen science photographs enables plant species identification in UAV imagery
inferred← citeshttps://doi.org/10.1016/j.scitotenv.2023.165914openalex-snapshot
Nitrogen addition changes the canopy biological characteristics of dominant tree species in an evergreen broad-leaved forest
inferred← citeshttps://doi.org/10.1017/s0024282923000403openalex-snapshot
Can we trust iNaturalist in lichenology? Evaluating the effectiveness and reliability of artificial intelligence in lichen identification
inferred← citeshttps://doi.org/10.1038/s41558-025-02248-7openalex-snapshot
Extreme weather events have strong but different impacts on plant and insect phenology
inferred← citeshttps://doi.org/10.1038/s41598-021-00265-yopenalex-snapshot
Analyzing a phenological anomaly in Yucca of the southwestern United States
inferred← citeshttps://doi.org/10.1038/s41598-022-16104-7openalex-snapshot
Consistent trait-temperature interactions drive butterfly phenology in both incidental and survey data
inferred← citeshttps://doi.org/10.1038/s41598-026-38541-4openalex-snapshot
How to optimally allocate sampling effort in experimental ecology
inferred← citeshttps://doi.org/10.1038/s44185-024-00037-7openalex-snapshot
Opportunistic plant observations reveal spatial and temporal gradients in phenology
inferred← citeshttps://doi.org/10.1071/wr20154openalex-snapshot
An overview of the history, current contributions and future outlook of iNaturalist in Australia
inferred← citeshttps://doi.org/10.1080/0047231x.2023.12315881openalex-snapshot
Emphasis on Quality in iNaturalist Plant Collections Enhances Learning and Research Utility
inferred← citeshttps://doi.org/10.1088/1748-9326/ae0658openalex-snapshot
The PeatPic project: predicting plot-scale green leaf phenology across peatlands
inferred← citeshttps://doi.org/10.1093/aobpla/plae058openalex-snapshot
Cross-continental comparison of plant reproductive phenology shows high intraspecific variation in temperature sensitivity
inferred← citeshttps://doi.org/10.1093/biolinnean/blaf068openalex-snapshot
Citizen science supports ecological predictions of phenology in North American mimetic butterflies
inferred← citeshttps://doi.org/10.1093/biosci/biab093openalex-snapshot
Observing the Observers: How Participants Contribute Data to iNaturalist and Implications for Biodiversity Science
inferred← citeshttps://doi.org/10.1098/rsbl.2022.0403openalex-snapshot
Colour scales with climate in North American ratsnakes: a test of the thermal melanism hypothesis using community science images
inferred← citeshttps://doi.org/10.1101/2024.12.21.628886openalex-snapshot
Evidence of flowering time advance in blue lupin ( Lupinus angustifolius ) in the last decades revealed by herbarium data and citizen science databases
inferred← citeshttps://doi.org/10.1101/794396openalex-snapshot
Opportunistically collected photographs can be used to estimate large-scale phenological trends
inferred← citeshttps://doi.org/10.1111/1365-2435.14173openalex-snapshot
Phenological research based on natural history collections: Practical guidelines and a lepidopteran case study
inferred← citeshttps://doi.org/10.1111/1365-2745.70165openalex-snapshot
Combined volunteer and ecological network observations show broad‐scale temperature‐sensitivity patterns for deciduous plant flowering and leaf‐out times across the eastern USA
inferred← citeshttps://doi.org/10.1111/1365-2745.70185openalex-snapshot
Temperature and precipitation explain species‐specific phenological patterns in five native California milkweed species ( Asclepias spp.)
inferred← citeshttps://doi.org/10.1111/2041-210x.13448openalex-snapshot
The accuracy of phenology estimators for use with sparsely sampled presence‐only observations
inferred← citeshttps://doi.org/10.1111/2041-210x.13611openalex-snapshot
The Flora Incognita app – Interactive plant species identification
inferred← citeshttps://doi.org/10.1111/2041-210x.14365openalex-snapshot
Macrophenological dynamics from citizen science plant occurrence data
inferred← citeshttps://doi.org/10.1111/aec.70141openalex-snapshot
Phenology Responses of Myrtaceae, Specifically Eucalyptus Species, in a Variable and Changing Climate
inferred← citeshttps://doi.org/10.1111/btp.70272openalex-snapshot
Urban Environments Reshape Reproductive Phenology in Plants Across the Tropics
inferred← citeshttps://doi.org/10.1111/csp2.70016openalex-snapshot
Biodiversity on public lands: How community science can help
inferred← citeshttps://doi.org/10.1111/ele.14478openalex-snapshot
Reconstructing 120 years of climate change impacts on Joshua tree flowering
inferred← citeshttps://doi.org/10.1111/gcb.15461openalex-snapshot
Climate, urbanization, and species traits interactively drive flowering duration
inferred← citeshttps://doi.org/10.1111/nph.18361openalex-snapshot
The ecological implications of intra‐ and inter‐species variation in phenological sensitivity
inferred← citeshttps://doi.org/10.1111/nph.18813openalex-snapshot
Photographs as an essential biodiversity resource: drivers of gaps in the vascular plant photographic record
inferred← citeshttps://doi.org/10.1371/journal.pone.0250382openalex-snapshot
Potential for online crowdsourced biological recording data to complement surveillance for arthropod vectors
inferred← citeshttps://doi.org/10.1371/journal.pone.0282750openalex-snapshot
Practice makes the expert: The importance of training volunteers in the generation of phenological data from photographs of biodiversity observation platforms
inferred← citeshttps://doi.org/10.1371/journal.pone.0287150openalex-snapshot
Not all who wander are lost: Trail bias in community science
inferred← citeshttps://doi.org/10.1371/journal.pone.0288415openalex-snapshot
Crowd-sourced observations of a polyphagous moth reveal evidence of allochronic speciation varying along a latitudinal gradient
inferred← citeshttps://doi.org/10.1371/journal.pone.0295298openalex-snapshot
Quantifying error in occurrence data: Comparing the data quality of iNaturalist and digitized herbarium specimen data in flowering plant families of the southeastern United States
inferred← citeshttps://doi.org/10.21203/rs.3.rs-548860/v1openalex-snapshot
Predicting Phenological Anomaly: a Case Study of Yucca in the Southwestern United States
inferred← citeshttps://doi.org/10.3120/0024-9637-69.4.304openalex-snapshot
THE TRUE REDWOOD SORREL: REINSTATEMENT OF OXALIS SMALLIANA (OXALIDACEAE) AS A SPECIES SEPARATE FROM OXALIS OREGANA
inferred← citeshttps://doi.org/10.3389/ffgc.2026.1783992openalex-snapshot
Contrasting spatial and temporal climate responses of ornamental tree phenology: a social media-based study across Chinese cities
inferred← citeshttps://doi.org/10.3389/fpls.2021.787407openalex-snapshot
Using Convolutional Neural Networks to Efficiently Extract Immense Phenological Data From Community Science Images
inferred← citeshttps://doi.org/10.3389/fpls.2022.805738openalex-snapshot
Deep Learning in Plant Phenological Research: A Systematic Literature Review
inferred← citeshttps://doi.org/10.3389/fpls.2023.1150956openalex-snapshot
Bridging the gap: how to adopt opportunistic plant observations for phenology monitoring
inferred← citeshttps://doi.org/10.3390/insects13050404openalex-snapshot
Monitoring Trends in Distribution and Seasonality of Medically Important Ticks in North America Using Online Crowdsourced Records from iNaturalist
inferred← citeshttps://doi.org/10.3390/rs14020286openalex-snapshot
Classification of Daily Crop Phenology in PhenoCams Using Deep Learning and Hidden Markov Models
inferred← citeshttps://doi.org/10.3897/bdj.8.e59249openalex-snapshot
"Flora of Russia" on iNaturalist: a dataset
inferred← citeshttps://doi.org/10.3897/bdj.9.e68052openalex-snapshot
Using iNaturalist to monitor adherence to best practices in bat handling
inferred← citeshttps://doi.org/10.3897/jor.31.79332openalex-snapshot
Citizen scientists track a charismatic carnivore: Mapping the spread and impact of the South African Mantis (Miomantidae, Miomantis caffra) in Australia
inferred← citeshttps://doi.org/10.52707/1081-1710-49.2.r12openalex-snapshot
iNaturalist community observations provide valuable data on human-mosquito encounters
inferred← citeshttps://doi.org/10.64898/2026.01.28.702306openalex-snapshot
Urban Environments Reshape Reproductive Phenology in Plants Across the Tropics
showing the first 75 of 76 · page through all 76
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.