Datasets

A vegetation phenology dataset for the Northern Hemisphere( the latitude ranging from 30°N to 90°N, the longitude ranging from -180°E to 180°E), including start of season (SOS_merge), SOS uncertainty range (SOS_merge_r), end of season (EOS_merge), and EOS uncertainty range (EOS_merge_r). This dataset is generated by merging four vegetation phenology datasets including MODIS MCD12Q2(https://lpdaac.usgs.gov/products/mcd12q2v061/), MEaSUREs VIPPHEN(https://lpdaac.usgs.gov/products/vipphen_ndviv004/), GIMMS NDVI3g(http://data.globalecology.unh.edu/data/GIMMS_NDVI3g_Phenology/), GIMMS ...

A vegetation phenology dataset for the Northern Hemisphere( the latitude ranging from 30°N to 90°N, the longitude ranging from -180°E to 180°E), including start of season (SOS_merge), SOS uncertainty range (SOS_merge_r), end of season (EOS_merge), and EOS uncertainty range (EOS_merge_r). This dataset is generated by merging four vegetation phenology datasets including MODIS MCD12Q2(https://lpdaac.usgs.gov/products/mcd12q2v061/), MEaSUREs VIPPHEN(https://lpdaac.usgs.gov/products/vipphen_ndviv004/), GIMMS NDVI3g(http://data.globalecology.unh.edu/data/GIMMS_NDVI3g_Phenology/), GIMMS ...

This code version includes new temperature-photoperiod coupled phenology module for high-latitude tree and shrub PFTs. The model is coupled with DROMPHOT and DM model, and the phenological module parameters of BNS, IBS, TeBS and Shrubs are obtained by particle swarm optimization. Model setup and output can be found in the publication in Geoscientific Model Development titled with "A new temperature-photoperiod coupled phenology module in LPJ-GUESS model v4.1: optimizing estimation of terrestrial carbon and water processes" All relevant information for LPJ-GUESS can be found on the model's ...

This dataset contains the phenology data and spring temperature data collected in mesocosms subjected to experimental microclimate warming and illumination in two forest understorey experiments, set in the Aelmoeseneie forest in Belgium (50°58′30″N, 3°48′16″E). The data for 2021 and 2022 are included in separate tabs, for each experiment. Metadata explaining different columns is provided on the fifth tab of the excel file.Data used for the analysis in 'Forest understorey flowering phenology responses to experimental warming and illumination' (Lorer et al., New Phytologist, 2023).

Study on the microclimatic cues that drive flowering phenology in the understorey of temperate forests. Data were recorded in an understorey warming experiment located in the Aelmoeseneie forest in Gontrode (Belgium). Reference: Landuyt, D; Lorer, E.; Blondeel, H.; & Verheyen, K. (in press). Sensitivity of understorey phenology to warming depends on forcing timewindow. Agricultural and Forest Meteorology

We used five phenological extraction methods, which include three threshold-based methods (i.e., Gaussian midpoint, spline midpoint, and TIMESAT-SG methods) and two change-rate-based methods (i.e., the HANTS maximum and polyfit maximum methods), following previous studies, to retrieve spring (start of growing season, SOS) and autumn (end of growing season, EOS) phenological events . Phenological extraction based on multiple methods consists of three steps: (1) smoothing and interpolating the NDVI date to obtain the smooth and continuous NDVI daily time series, (2) using the threshold value ...

To forecast how fast populations can adapt to climate change, it is essential to determine the evolutionary potential of different life-cycle stages under selection. In birds, timing of gonadal development and moult are primarily regulated by photoperiod, while laying date is highly phenotypically plastic to temperature. We tested whether geographic variation in phenology of these life-cycle events between populations of great tits (Parus major) has a genetic basis, indicating that contemporary genetic adaptation is possible. We carried out a common garden experiment in which we bred first- ...

This dataset presents data of spring bud burst, late summer–autumn data of chlorophyll content and leaf coloration/leaf fall for 5 species of temperate deciduous trees, in Northern Catalonia, for the years 2017-2020.

This record contains dataset and R code associated with the paper "No winter halt in belowground wood growth of four angiosperm deciduous tree species" by Marchand et al. (2025).

Phenotypic plasticity is the key adaptive mechanism behind annual adjustment of breeding time in response to temperature. In nature, organisms are not only subjected to variation in temperature but encounter multiple fluctuating environmental factors that affect phenotypic expression, including conspecific density, which affects individual performances through resource competition. We examined the interactive effects of temperature and conspecific density at two spatial scales (territory and patch level) on breeding time and success utilizing data obtained from long-term monitoring of a wild ...