On the public citation graph
Multidecadal Changes and Interannual Variation in Springtime Phenology of North American Temperate and Boreal Deciduous Forests
0 signed · 101 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known work and none has been retracted — and get a dated CiteStamped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/10.1002/2013eo200001openalex-snapshot
The False Spring of 2012, Earliest in North American Record
inferredcites →https://doi.org/10.1007/s00484-011-0457-yopenalex-snapshot
Plant phenology networks of citizen scientists: recommendations from two decades of experience in Canada
inferredcites →https://doi.org/10.1007/s004840000050openalex-snapshot
Spring phenology trends in Alberta, Canada: links to ocean temperature
inferredcites →https://doi.org/10.1016/j.agrformet.2004.06.011openalex-snapshot
Inter-annual variability in the leaf area index of a boreal aspen-hazelnut forest in relation to net ecosystem production
inferredcites →https://doi.org/10.1016/j.rse.2008.04.016openalex-snapshot
Fire-induced changes in green-up and leaf maturity of the Canadian boreal forest
inferredcites →https://doi.org/10.1016/j.rse.2009.02.004openalex-snapshot
Updating the 2001 National Land Cover Database land cover classification to 2006 by using Landsat imagery change detection methods
inferredcites →https://doi.org/10.1016/j.rse.2009.07.020openalex-snapshot
Influence of heterogeneous landscapes on computed green-up dates based on daily AVHRR NDVI observations
inferredcites →https://doi.org/10.1016/j.rse.2011.02.015openalex-snapshot
The effect of the temporal resolution of NDVI data on season onset dates and trends across Canadian broadleaf forests
inferredcites →https://doi.org/10.1016/j.rse.2013.01.011openalex-snapshot
Detecting interannual variation in deciduous broadleaf forest phenology using Landsat TM/ETM+ data
inferredcites →https://doi.org/10.1016/j.rse.2013.11.020openalex-snapshot
Remotely sensed trends in the phenology of northern high latitude terrestrial vegetation, controlling for land cover change and vegetation type
inferredcites →https://doi.org/10.1016/j.rse.2014.01.011openalex-snapshot
Continuous change detection and classification of land cover using all available Landsat data
inferredcites →https://doi.org/10.1016/j.rse.2015.01.012openalex-snapshot
Comparing land surface phenology with leafing and flowering observations from the PlantWatch citizen network
inferredcites →https://doi.org/10.1016/j.rse.2016.01.001openalex-snapshot
The vegetation greenness trend in Canada and US Alaska from 1984–2012 Landsat data
inferredcites →https://doi.org/10.1016/j.rse.2016.02.041openalex-snapshot
Sources of bias and variability in long-term Landsat time series over Canadian boreal forests
inferredcites →https://doi.org/10.1016/j.rse.2016.09.014openalex-snapshot
Multisite analysis of land surface phenology in North American temperate and boreal deciduous forests from Landsat
inferredcites →https://doi.org/10.1029/1998jd200106openalex-snapshot
On the use of long‐term global data of land reflectances and vegetation indices derived from the advanced very high resolution radiometer
inferredcites →https://doi.org/10.1038/nature01286openalex-snapshot
A globally coherent fingerprint of climate change impacts across natural systems
inferredcites →https://doi.org/10.1038/nature11014openalex-snapshot
Warming experiments underpredict plant phenological responses to climate change
inferredcites →https://doi.org/10.1038/nature15402openalex-snapshot
Declining global warming effects on the phenology of spring leaf unfolding
inferredcites →https://doi.org/10.1038/nature20584openalex-snapshot
High-resolution mapping of global surface water and its long-term changes
inferredcites →https://doi.org/10.1038/nclimate2253openalex-snapshot
Net carbon uptake has increased through warming-induced changes in temperate forest phenology
inferredcites →https://doi.org/10.1038/nclimate3138openalex-snapshot
Day length unlikely to constrain climate-driven shifts in leaf-out times of northern woody plants
inferredcites →https://doi.org/10.1038/ncomms7911openalex-snapshot
Leaf onset in the northern hemisphere triggered by daytime temperature
inferredcites →https://doi.org/10.1073/pnas.1519620113openalex-snapshot
Warm spring reduced carbon cycle impact of the 2012 US summer drought
inferredcites →https://doi.org/10.1073/pnas.1717342115openalex-snapshot
Global warming leads to more uniform spring phenology across elevations
inferredcites →https://doi.org/10.1080/01621459.1968.10480934openalex-snapshot
Estimates of the Regression Coefficient Based on Kendall's Tau
inferredcites →https://doi.org/10.1088/1748-9326/6/4/045502openalex-snapshot
Detecting long-term changes to vegetation in northern Canada using the Landsat satellite image archive
inferredcites →https://doi.org/10.1088/1748-9326/8/2/024027openalex-snapshot
Earlier springs decrease peak summer productivity in North American boreal forests
inferredcites →https://doi.org/10.1088/1748-9326/9/5/054006openalex-snapshot
A tale of two springs: using recent climate anomalies to characterize the sensitivity of temperate forest phenology to climate change
inferredcites →https://doi.org/10.1088/1748-9326/aa9b88openalex-snapshot
Canadian boreal forest greening and browning trends: an analysis of biogeographic patterns and the relative roles of disturbance versus climate drivers
inferredcites →https://doi.org/10.1098/rstb.2010.0102openalex-snapshot
Influence of spring and autumn phenological transitions on forest ecosystem productivity
inferredcites →https://doi.org/10.1109/36.851783openalex-snapshot
The impact of misregistration upon composited wide field of view satellite data and implications for change detection
inferredcites →https://doi.org/10.1111/gcb.12130openalex-snapshot
Detecting nonlinear response of spring phenology to climate change by B ayesian analysis
inferredcites →https://doi.org/10.1111/j.1365-2486.2009.01910.xopenalex-snapshot
Intercomparison, interpretation, and assessment of spring phenology in North America estimated from remote sensing for 1982–2006
inferredcites →https://doi.org/10.1111/j.1469-8137.2004.01059.xopenalex-snapshot
Responses of spring phenology to climate change
inferredcites →https://doi.org/10.1111/j.1469-8137.2009.02800.xopenalex-snapshot
The role of botanical gardens in climate change research
inferredcites →https://doi.org/10.1111/j.1469-8137.2011.03803.xopenalex-snapshot
Leaf‐out phenology of temperate woody plants: from trees to ecosystems
inferredcites →https://doi.org/10.1126/science.1173004openalex-snapshot
Phenology Feedbacks on Climate Change
inferredcites →https://doi.org/10.1126/science.1244693openalex-snapshot
High-Resolution Global Maps of 21st-Century Forest Cover Change
inferredcites →https://doi.org/10.1175/1520-0442(2000)013<4229:pfodfp>2.0.co;2openalex-snapshot
Postulated Feedbacks of Deciduous Forest Phenology on Seasonal Climate Patterns in the Western Canadian Interior
inferredcites →https://doi.org/10.1175/1520-0442(2001)014<0598:ccolpi>2.0.co;2openalex-snapshot
Climatic Consequences of Leaf Presence in the Eastern United States
inferredcites →https://doi.org/10.1175/bams-87-3-343openalex-snapshot
North American Regional Reanalysis
inferredcites →https://doi.org/10.1175/jcli-d-14-00736.1openalex-snapshot
Trends and Natural Variability of Spring Onset in the Coterminous United States as Evaluated by a New Gridded Dataset of Spring Indices
inferredcites →https://doi.org/10.5589/m08-066openalex-snapshot
Monitoring Canada’s forests. Part 1: Completion of the EOSD land cover project
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.15446/caldasia.v46n2.102712zenodo-depositor-declared
The economic potential of non-timber forest products in the Cerrado legal reserves
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/10.1007/978-3-030-70238-0_1openalex-snapshot
The World’s Mountains in the Anthropocene
inferred← citeshttps://doi.org/10.1007/978-3-031-75027-4_11openalex-snapshot
Mesic Temperate Deciduous Forest Phenology
inferred← citeshttps://doi.org/10.1007/s00484-019-01839-2openalex-snapshot
A comparison of ground-based methods for obtaining large-scale, high-resolution data on the spring leaf phenology of temperate tree species
inferred← citeshttps://doi.org/10.1007/s00484-026-03129-0openalex-snapshot
Comparison of chilling requirements of boreal and temperate tree species in Germany and North America
inferred← citeshttps://doi.org/10.1016/j.agrformet.2020.108215openalex-snapshot
Remotely sensed phenological heterogeneity of restored wetlands: linking vegetation structure and function
inferred← citeshttps://doi.org/10.1016/j.agrformet.2021.108759openalex-snapshot
Greater temperature sensitivity of vegetation greenup onset date in areas with weaker temperature seasonality across the Northern Hemisphere
inferred← citeshttps://doi.org/10.1016/j.ecoinf.2026.103934openalex-snapshot
Interannual variability of European beech spring phenology across elevation gradients derived from Sentinel-2 time series
inferred← citeshttps://doi.org/10.1016/j.ecolind.2019.105760openalex-snapshot
Vegetation green up under the influence of daily minimum temperature and urbanization in the Yellow River Basin, China
inferred← citeshttps://doi.org/10.1016/j.ecolind.2020.106112openalex-snapshot
How do climatic and non-climatic factors contribute to the dynamics of vegetation autumn phenology in the Yellow River Basin, China?
inferred← citeshttps://doi.org/10.1016/j.indic.2026.101528openalex-snapshot
Distinguishing heatwave occurrence from ozone co-occurrence reveals contrasting autumn phenological associations across Chinese ecosystems
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2020.11.019openalex-snapshot
Land surface phenology as indicator of global terrestrial ecosystem dynamics: A systematic review
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2023.07.017openalex-snapshot
A robust and unified land surface phenology algorithm for diverse biomes and growth cycles in China by using harmonized Landsat and Sentinel-2 imagery
inferred← citeshttps://doi.org/10.1016/j.jag.2020.102172openalex-snapshot
Characterizing spring phenology of temperate broadleaf forests using Landsat and Sentinel-2 time series
inferred← citeshttps://doi.org/10.1016/j.jag.2020.102285openalex-snapshot
All models of satellite-derived phenology are wrong, but some are useful: A case study from northern Australia
inferred← citeshttps://doi.org/10.1016/j.jag.2021.102556openalex-snapshot
A new method for monitoring start of season (SOS) of forest based on multisource remote sensing
inferred← citeshttps://doi.org/10.1016/j.rse.2019.111477openalex-snapshot
Urbanization and climate change jointly shift land surface phenology in the northern mid-latitude large cities
inferred← citeshttps://doi.org/10.1016/j.rse.2020.111956openalex-snapshot
Understanding the continuous phenological development at daily time step with a Bayesian hierarchical space-time model: impacts of climate change and extreme weather events
inferred← citeshttps://doi.org/10.1016/j.rse.2021.112456openalex-snapshot
Calibrating vegetation phenology from Sentinel-2 using eddy covariance, PhenoCam, and PEP725 networks across Europe
inferred← citeshttps://doi.org/10.1016/j.rse.2021.112466openalex-snapshot
Using time series of MODIS land surface phenology to model temperature and photoperiod controls on spring greenup in North American deciduous forests
inferred← citeshttps://doi.org/10.1016/j.rse.2022.113275openalex-snapshot
A novel algorithm for the generation of gap-free time series by fusing harmonized Landsat 8 and Sentinel-2 observations with PhenoCam time series for detecting land surface phenology
inferred← citeshttps://doi.org/10.1016/j.rse.2025.114624openalex-snapshot
Cross-Scalar Analysis of Multisensor Land Surface Phenology
inferred← citeshttps://doi.org/10.1016/j.rse.2025.114656openalex-snapshot
A transformer-based model for detecting land surface phenology from the irregular harmonized Landsat and Sentinel-2 time series across the United States
inferred← citeshttps://doi.org/10.1016/j.rse.2025.115024openalex-snapshot
An insight into long-term continuity in global land surface phenology: A comparative analysis of MODIS and VIIRS products
inferred← citeshttps://doi.org/10.1016/j.scitotenv.2024.175753openalex-snapshot
The linkage between functional traits and drone-derived phenology of 74 Northern Hemisphere tree species
inferred← citeshttps://doi.org/10.1016/j.srs.2021.100030openalex-snapshot
Exploration of global spatiotemporal changes of fall foliage coloration in deciduous forests and shrubs using the VIIRS land surface phenology product
inferred← citeshttps://doi.org/10.1029/2024gl109219openalex-snapshot
Ecosystems Disturbance Recovery: What It Was or What It Could Have Been?
inferred← citeshttps://doi.org/10.1038/s41598-020-74804-4openalex-snapshot
Effects of temperature variability and extremes on spring phenology across the contiguous United States from 1982 to 2016
inferred← citeshttps://doi.org/10.1038/s43247-025-02006-9openalex-snapshot
Russian forests show strong potential for young forest growth
inferred← citeshttps://doi.org/10.1080/15481603.2025.2594344openalex-snapshot
Development of a global 1 km phenology dataset (1982–2018) utilizing the spatiotemporal fusion of MODIS and AVHRR data
inferred← citeshttps://doi.org/10.1088/1748-9326/ab04d2openalex-snapshot
Impacts of land cover and land use change on long-term trend of land surface phenology: a case study in agricultural ecosystems
inferred← citeshttps://doi.org/10.1088/1748-9326/ab6502openalex-snapshot
Exposure to cold temperature affects the spring phenology of Alaskan deciduous vegetation types
inferred← citeshttps://doi.org/10.1088/1748-9326/abc3f1openalex-snapshot
Stomatal conductance influences interannual variability and long-term changes in regional cumulative plant uptake of ozone
inferred← citeshttps://doi.org/10.1093/condor/duaa055openalex-snapshot
Habitat ecology of Nearctic–Neotropical migratory landbirds on the nonbreeding grounds
inferred← citeshttps://doi.org/10.1093/forestry/cpad039openalex-snapshot
Sentinel-2 time series: a promising tool in monitoring temperate species spring phenology
inferred← citeshttps://doi.org/10.1093/forestry/cpaf064openalex-snapshot
What can Sentinel-2 time series tell us about the phenology of dominant deciduous tree species in Poland?
inferred← citeshttps://doi.org/10.1093/jpe/rtae063openalex-snapshot
Differential phenological responses to temperature among various stages of spring vegetation green-up
inferred← citeshttps://doi.org/10.1101/2025.10.21.683688openalex-snapshot
Asymmetric Spring and Autumn Phenology Control Growing Season Length in Temperate Deciduous Forests
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/gcb.16820openalex-snapshot
Broadleaf tree phenology and springtime wildfire occurrence in boreal Canada
inferred← citeshttps://doi.org/10.1111/nph.70784openalex-snapshot
Plant functional traits as key regulators of interannual phenological variability in temperate forests
inferred← citeshttps://doi.org/10.1186/s12862-021-01817-6openalex-snapshot
Diversity of plant assemblages dampens the variability of the growing season phenology in wetland landscapes
inferred← citeshttps://doi.org/10.15292/geodetski-vestnik.2023.02.165-180openalex-snapshot
Determining phenological phases of selected tree species with MODIS time-series data
inferred← citeshttps://doi.org/10.22541/au.171379323.31160696/v1openalex-snapshot
Rethinking Ecosystems Disturbance Recovery: what it was or what it could have been?
inferred← citeshttps://doi.org/10.31223/osf.io/sx6w2openalex-snapshot
Testing for the effects of pre-season temperature and winter-chilling on land-surface phenology of coniferous and broadleaved forests in Central Europe
inferred← citeshttps://doi.org/10.3390/cli9030047openalex-snapshot
Exploring Short-Term Climate Change Effects on Rangelands and Broad-Leaved Forests by Free Satellite Data in Aosta Valley (Northwest Italy)
inferred← citeshttps://doi.org/10.3390/rs10040635openalex-snapshot
A Method for Robust Estimation of Vegetation Seasonality from Landsat and Sentinel-2 Time Series Data
inferred← citeshttps://doi.org/10.3390/rs11161952openalex-snapshot
Remote Sensing of Environmental Changes in Cold Regions: Methods, Achievements and Challenges
inferred← citeshttps://doi.org/10.3390/rs11192201openalex-snapshot
An Empirical Assessment of the MODIS Land Cover Dynamics and TIMESAT Land Surface Phenology Algorithms
inferred← citeshttps://doi.org/10.3390/rs12203275openalex-snapshot
Deriving Annual Double-Season Cropland Phenology Using Landsat Imagery
inferred← citeshttps://doi.org/10.3390/rs15225274openalex-snapshot
Bridging the Gap: Comprehensive Boreal Forest Complexity Mapping through LVIS Full-Waveform LiDAR, Single-Year and Time Series Landsat Imagery
inferred← citeshttps://doi.org/10.3390/rs16142577openalex-snapshot
Phenology and Plant Functional Type Link Optical Properties of Vegetation Canopies to Patterns of Vertical Vegetation Complexity
inferred← citeshttps://doi.org/10.3390/su15043365openalex-snapshot
Toward 30 m Fine-Resolution Land Surface Phenology Mapping at a Large Scale Using Spatiotemporal Fusion of MODIS and Landsat Data
inferred← citeshttps://doi.org/10.6084/m9.figshare.14623174openalex-snapshot
Additional file 1 of Diversity of plant assemblages dampens the variability of the growing season phenology in wetland landscapes
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.