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Phenological variation decreased carbon uptake in European forests during 1999–2013

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/9780470015902.a0003231.pub2openalex-snapshot
Biogeographical Regions
inferredcites →https://doi.org/10.1007/s00267-013-0097-6openalex-snapshot
Land Surface Phenology and Land Surface Temperature Changes Along an Urban–Rural Gradient in Yangtze River Delta, China
inferredcites →https://doi.org/10.1007/s00442-006-0565-2openalex-snapshot
Coupling between carbon cycling and climate in a high-elevation, subalpine forest: a model-data fusion analysis
inferredcites →https://doi.org/10.1007/s004840000066openalex-snapshot
The importance of phenology for the evaluation of impact of climate change on growth of boreal, temperate and Mediterranean forests ecosystems: an overview
inferredcites →https://doi.org/10.1007/s10021-001-0070-8openalex-snapshot
Satellite Evidence of Phenological Differences Between Urbanized and Rural Areas of the Eastern United States Deciduous Broadleaf Forest
inferredcites →https://doi.org/10.1007/s10310-011-0305-2openalex-snapshot
Uncertainty analysis of modeled carbon fluxes for a broad-leaved Korean pine mixed forest using a process-based ecosystem model
inferredcites →https://doi.org/10.1007/s10342-011-0513-5openalex-snapshot
Statistical mapping of tree species over Europe
inferredcites →https://doi.org/10.1007/s12524-008-0004-4openalex-snapshot
Derivation of crop phenological parameters using multi-date SPOT-VGT-NDVI data: A case study for Punjab
inferredcites →https://doi.org/10.1016/b978-0-08-098222-9.00001-7openalex-snapshot
Forest Monitoring
inferredcites →https://doi.org/10.1016/b978-0-12-233440-5.50014-2openalex-snapshot
Generalization of a Forest Ecosystem Process Model for Other Biomes, BIOME-BGC, and an Application for Global-Scale Models
inferredcites →https://doi.org/10.1016/c2011-0-06716-9openalex-snapshot
Forest Monitoring - Methods for terrestrial investigations in Europe with an overview of North America and Asia
inferredcites →https://doi.org/10.1016/j.agrformet.2012.09.012openalex-snapshot
Climate change, phenology, and phenological control of vegetation feedbacks to the climate system
inferredcites →https://doi.org/10.1016/j.agrformet.2014.10.016openalex-snapshot
Responses of spring phenology in temperate zone trees to climate warming: A case study of apricot flowering in China
inferredcites →https://doi.org/10.1016/j.cageo.2004.05.006openalex-snapshot
TIMESAT—a program for analyzing time-series of satellite sensor data
inferredcites →https://doi.org/10.1016/j.ecolind.2012.11.010openalex-snapshot
Ecosystem functional units characterized by satellite observed phenology and productivity gradients: A case study for Europe
inferredcites →https://doi.org/10.1016/j.foreco.2006.09.085openalex-snapshot
Application of BIOME-BGC model to managed forests
inferredcites →https://doi.org/10.1016/j.foreco.2006.09.086openalex-snapshot
Application of BIOME-BGC model to managed forests
inferredcites →https://doi.org/10.1016/j.foreco.2008.09.012openalex-snapshot
Spatial occurrence of major tree species groups in Europe derived from multiple data sources
inferredcites →https://doi.org/10.1016/j.foreco.2010.01.045openalex-snapshot
A comparison of alternative modelling approaches to evaluate the European forest carbon fluxes
inferredcites →https://doi.org/10.1016/j.forpol.2018.01.004openalex-snapshot
Adapting forest management to climate change in Europe: Linking perceptions to adaptive responses
inferredcites →https://doi.org/10.1016/j.jag.2014.08.011openalex-snapshot
Mapping crop phenology using NDVI time-series derived from HJ-1 A/B data
inferredcites →https://doi.org/10.1016/j.rse.2006.08.002openalex-snapshot
A curve fitting procedure to derive inter-annual phenologies from time series of noisy satellite NDVI data
inferredcites →https://doi.org/10.1016/j.rse.2008.06.017openalex-snapshot
Monitoring and forecasting ecosystem dynamics using the Terrestrial Observation and Prediction System (TOPS)
inferredcites →https://doi.org/10.1016/s0168-1923(01)00233-7openalex-snapshot
Response of tree phenology to climate change across Europe
inferredcites →https://doi.org/10.1029/2004gl020315openalex-snapshot
The timing of snow melt controls the annual CO2 balance in a subarctic fen
inferredcites →https://doi.org/10.1029/2006gb002888openalex-snapshot
Growing season extension and its impact on terrestrial carbon cycle in the Northern Hemisphere over the past 2 decades
inferredcites →https://doi.org/10.1029/2008jd010201openalex-snapshot
A European daily high‐resolution gridded data set of surface temperature and precipitation for 1950–2006
inferredcites →https://doi.org/10.1029/2009gb003521openalex-snapshot
Carbon and nitrogen cycle dynamics in the O‐CN land surface model: 1. Model description, site‐scale evaluation, and sensitivity to parameter estimates
inferredcites →https://doi.org/10.1029/93gb02725openalex-snapshot
Terrestrial ecosystem production: A process model based on global satellite and surface data
inferredcites →https://doi.org/10.1029/97gb00330openalex-snapshot
A continental phenology model for monitoring vegetation responses to interannual climatic variability
inferredcites →https://doi.org/10.1038/17709openalex-snapshot
Growing season extended in Europe
inferredcites →https://doi.org/10.1038/nature06444openalex-snapshot
Net carbon dioxide losses of northern ecosystems in response to autumn warming
inferredcites →https://doi.org/10.1038/nature11014openalex-snapshot
Warming experiments underpredict plant phenological responses to climate change
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/10.1046/j.0269-8463.2001.00597.xopenalex-snapshot
Ecosystem respiration in two Mediterranean evergreen Holm Oak forests: drought effects and decomposition dynamics
inferredcites →https://doi.org/10.1046/j.1365-2486.2003.00585.xopenalex-snapshot
Canopy duration has little influence on annual carbon storage in the deciduous broad leaf forest
inferredcites →https://doi.org/10.1080/01431169408954055openalex-snapshot
SMAC: a simplified method for the atmospheric correction of satellite measurements in the solar spectrum
inferredcites →https://doi.org/10.1080/15481603.2014.883210openalex-snapshot
Spatial patterns of land surface phenology relative to monthly climate variations: US Great Plains
inferredcites →https://doi.org/10.1080/2150704x.2013.764473openalex-snapshot
Comparison of spatial patterns of satellite-derived and ground-based phenology for the deciduous broadleaf forest of China
inferredcites →https://doi.org/10.1093/treephys/9.1-2.147openalex-snapshot
FOREST-BGC, A general model of forest ecosystem processes for regional applications. II. Dynamic carbon allocation and nitrogen budgets
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/10.1111/gcb.12283openalex-snapshot
Large‐scale variations in the vegetation growing season and annual cycle of atmospheric CO2 at high northern latitudes from 1950 to 2011
inferredcites →https://doi.org/10.1111/gcb.12625openalex-snapshot
Strong contribution of autumn phenology to changes in satellite‐derived growing season length estimates across Europe (1982–2011)
inferredcites →https://doi.org/10.1111/geb.12210openalex-snapshot
Recent spring phenology shifts in western C entral E urope based on multiscale observations
inferredcites →https://doi.org/10.1111/j.1365-2486.2006.01193.xopenalex-snapshot
European phenological response to climate change matches the warming pattern
inferredcites →https://doi.org/10.1111/j.1365-2486.2006.01247.xopenalex-snapshot
Spring photosynthesis in a cool temperate bog
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.1365-2486.2009.02095.xopenalex-snapshot
Predicting spatial and temporal patterns of bud‐burst and spring frost risk in north‐west Europe: the implications of local adaptation to climate
inferredcites →https://doi.org/10.1111/j.1365-2486.2010.02309.xopenalex-snapshot
Diagnosing and assessing uncertainties of terrestrial ecosystem models in a multimodel ensemble experiment: 1. Primary production
inferredcites →https://doi.org/10.1117/1.jrs.7.073485openalex-snapshot
Remote sensing-based quantification of spatial variation in canopy phenology of four dominant tree species in Europe
inferredcites →https://doi.org/10.1146/annurev.ecolsys.37.091305.110100openalex-snapshot
Ecological and Evolutionary Responses to Recent Climate Change
inferredcites →https://doi.org/10.1175/1087-3562(2000)004<0003:pasaot>2.0.co;2openalex-snapshot
Parameterization and Sensitivity Analysis of the BIOME–BGC Terrestrial Ecosystem Model: Net Primary Production Controls
inferredcites →https://doi.org/10.1175/1525-7541(2003)004<0530:eroshi>2.0.co;2openalex-snapshot
Explicit Representation of Subgrid Heterogeneity in a GCM Land Surface Scheme
inferredcites →https://doi.org/10.1890/1051-0761(1999)009[0526:ayraoc]2.0.co;2openalex-snapshot
A 70-YEAR RETROSPECTIVE ANALYSIS OF CARBON FLUXES IN THE CANADIAN FOREST SECTOR
inferredcites →https://doi.org/10.2307/1941930openalex-snapshot
Testing Forest‐BGC Ecosystem Process Simulations Across a Climatic Gradient in Oregon
inferredcites →https://doi.org/10.2307/2261428openalex-snapshot
Scaling Physiological Processes, Leaf to Globe.
inferredcites →https://doi.org/10.3354/cr00812openalex-snapshot
Advancing phenology in Europe’s last lowland primeval forest: non-linear temperature response
inferredcites →https://doi.org/10.3390/rs5031177openalex-snapshot
Trends and ENSO/AAO Driven Variability in NDVI Derived Productivity and Phenology alongside the Andes Mountains
inferredcites →https://doi.org/10.3390/s8032017openalex-snapshot
Monitoring the Effects of Forest Restoration Treatments on Post-Fire Vegetation Recovery with MODIS Multitemporal Data
inferredcites →https://doi.org/10.3390/s8042833openalex-snapshot
Alpine Grassland Phenology as Seen in AVHRR, VEGETATION, and MODIS NDVI Time Series - a Comparison with In Situ Measurements
inferredcites →https://doi.org/10.5194/bg-7-2749-2010openalex-snapshot
Interactions between nitrogen deposition, land cover conversion, and climate change determine the contemporary carbon balance of Europe
inferredcites →https://doi.org/10.5751/es-05149-170453openalex-snapshot
A Forest Management Map of European Forests

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4725161openalex-extracted
Phenological Horizon Attention Transformer (Phat) Crop Mapping Method Using Modis Time-Series Imagery: A Case Study in the North China Plain
inferred← citeshttps://doi.org/10.1007/s10342-023-01642-0openalex-snapshot
Spring temperature and snow cover co-regulate variations of forest phenology in Changbai Mountains, Northeast China
inferred← citeshttps://doi.org/10.1007/s11252-025-01740-4openalex-snapshot
Intra-urban spatial heterogeneity of autumn leaf senescence: effects of land-use composition on tree phenology in Wuhan, China
inferred← citeshttps://doi.org/10.1016/j.agrformet.2024.110253openalex-snapshot
Factors and effects of inter-individual variability in silver birch phenology using dense LiDAR time-series
inferred← citeshttps://doi.org/10.1016/j.agrformet.2025.110952openalex-snapshot
Temporally extending long-term forest productivity dynamics using Landsat-derived vegetation index and phenology
inferred← citeshttps://doi.org/10.1016/j.agrformet.2026.111260openalex-snapshot
Spatio-temporal evolution of carbon sequestration in Chinese bamboo forests using OCO-2 SIF combined InTEC model and its response to phenology
inferred← citeshttps://doi.org/10.1016/j.ecolind.2025.114122openalex-snapshot
Improved optical phenology estimation contributes to more accurate simulation of forest carbon sink dynamics in Northeast China
inferred← citeshttps://doi.org/10.1016/j.ecolind.2026.115221openalex-snapshot
Global shrub encroachment: cross-system impacts on natural spheres and socio-economy
inferred← citeshttps://doi.org/10.1016/j.ecolmodel.2020.109030openalex-snapshot
Modelling Forest Ecosystems: a crossroad between scales, techniques and applications
inferred← citeshttps://doi.org/10.1016/j.fcr.2021.108150openalex-snapshot
Increasing temperature shortened the carbon uptake period and decreased the cumulative net ecosystem productivity in a maize cropland in Northeast China
inferred← citeshttps://doi.org/10.1016/j.foreco.2020.118663openalex-snapshot
Remote sensing of temperate and boreal forest phenology: A review of progress, challenges and opportunities in the intercomparison of in-situ and satellite phenological metrics
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2021.01.018openalex-snapshot
Phenology estimation of subtropical bamboo forests based on assimilated MODIS LAI time series data
inferred← citeshttps://doi.org/10.1016/j.jag.2020.102267openalex-snapshot
Spatiotemporal dynamics in assimilated-LAI phenology and its impact on subtropical bamboo forest productivity
inferred← citeshttps://doi.org/10.1016/j.jenvman.2025.125636openalex-snapshot
Modeling soil functions of forested ecosystems
inferred← citeshttps://doi.org/10.1016/j.rse.2019.111511openalex-snapshot
A review of vegetation phenological metrics extraction using time-series, multispectral satellite data
inferred← citeshttps://doi.org/10.1016/j.scitotenv.2020.138342openalex-snapshot
Impact of spring phenology variation on GPP and its lag feedback for winter wheat over the North China Plain
inferred← citeshttps://doi.org/10.1016/j.scitotenv.2024.171965openalex-snapshot
Impacts of snow cover seasonality on spring land surface phenology of forests in Changbai mountains of Northeast China
inferred← citeshttps://doi.org/10.1039/d5va00292copenalex-snapshot
Climate-driven shifts in tree phenology: global patterns, trends, and ecological implications
inferred← citeshttps://doi.org/10.1080/07900627.2023.2293862openalex-snapshot
Satellite-based phenology analysis of the Hyrcanian forest in the Alborz mountains and Caspian Sea shores, Iran
inferred← citeshttps://doi.org/10.1080/15481603.2022.2163575openalex-snapshot
Spatiotemporal patterns of remotely sensed phenology and their response to climate change and topography in subtropical bamboo forests during 2001-2017: a case study in Zhejiang Province, China
inferred← citeshttps://doi.org/10.1093/treephys/tpz024openalex-snapshot
Late growing season carbon subsidy in native gymnosperms in a northern temperate forest
inferred← citeshttps://doi.org/10.1111/1365-2745.14374openalex-snapshot
Ecosystem CO 2 flux responses to extreme droughts depend on interaction of seasonal timing and plant community composition
inferred← citeshttps://doi.org/10.15835/nsb13311007openalex-snapshot
Spring phenology of some ornamental species, as an indicator of temperature increase in the urban climate area
inferred← citeshttps://doi.org/10.3390/f14071474openalex-snapshot
Divergent Responses of NPP to Climate Factors among Forest Types at Interannual and Inter-Monthly Scales: An Empirical Study on Four Typical Forest Types in Subtropical China
inferred← citeshttps://doi.org/10.3390/rs11131593openalex-snapshot
Winter Wheat Green-up Date Variation and its Diverse Response on the Hydrothermal Conditions over the North China Plain, Using MODIS Time-Series Data
inferred← citeshttps://doi.org/10.3390/rs12010117openalex-snapshot
Coarse-Resolution Satellite Images Overestimate Urbanization Effects on Vegetation Spring Phenology
inferred← citeshttps://doi.org/10.3390/rs14122909openalex-snapshot
Spatiotemporal Variations of Forest Vegetation Phenology and Its Response to Climate Change in Northeast China
inferred← citeshttps://doi.org/10.3390/rs16122224openalex-snapshot
Potential of Earth Observation to Assess the Impact of Climate Change and Extreme Weather Events in Temperate Forests—A Review
inferred← citeshttps://doi.org/10.3390/rs17091531openalex-snapshot
Simulation of the Carbon Cycle’s Spatiotemporal Dynamics in the Hangzhou Forest Ecosystem and How It Responds to Phenology
inferred← citeshttps://doi.org/10.3390/stresses5040062openalex-snapshot
Identifying Winter Light Stress in Conifers Using Proximal Hyperspectral Imaging and Machine Learning
inferred← citeshttps://doi.org/10.3390/su142114337openalex-snapshot
Spatial–Temporal Pattern and Influencing Factors of Vegetation Phenology and Net Primary Productivity in the Qilian Mountains of Northwest China
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Drought reduces tree growing season length but increases nitrogen resorption efficiency in a Mediterranean ecosystem
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