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1,662 results for “Phenology”
Phenology of Woody Species at Harvard Forest since 1990
Starting in the spring of 1990 we have observed the timing of woody vegetation development during the growing season. For the first twelve years (1990-2001) we observed bud break (50% leaf emergence) and leaf development (75% final size) on two to five permanently tagged individuals of 33 woody species at 3-7 day intervals from April through June. All individuals are located within 1.5 km of the Harvard Forest headquarters at elevations between 335 and 365 m, in habitats ranging from closed forest, through forest-swamp margins, to dry, open fields. For most species both overstory and understory individuals are represented. Bud break is defined as when 50% of the buds on the individual have recognizable leaves emerging from them. Leaf development (75%) is defined as when at least 75% of the leaves on the individual have reached 75% of their final (mature) size. This point is used rather than "fully developed" because the leaves are functional but still developing rapidly during this period, which permits better estimation of a date between observations. Flowering and fruit development are also recorded if they occurred during the observation period. Through 2001 these observations documented substantial (up to three weeks difference) inter-annual variation in the timing of leaf emergence (50%) and leaf development (75% final size), but good relative consistency among species and among individuals within species during these twelve years. Therefore, starting in 2002 we maintained the same observation protocol, but reduced the number of species observed to nine, including striped maple (Acer pensylvanicum), red maple (A. rubrum), sugar maple (A. saccharum), yellow birch (Betula alleghaniensis), beech (Fagus grandifolia), white ash (Fraxinus americana), witch hazel (Hamamelis virginiana), white oak (Q. alba) and red oak (Q. rubra). This subset of important, representative species allows us to continue to characterize leaf development each spring, and document inter-annu
Assessing Plant Phenological Patterns in Tropical Brazil 1901–2020
Phenology is a key biological trait of an organism’s success and is one of the best indicators of its response to recent climate change. Plants are among the most well-studied organisms in this regard, but observational data bearing on this topic are largely restricted to species of the northern hemisphere, mostly from ca. the last three decades. Phenological data from tropical latitudes are especially lacking. Recent research has demonstrated that mobilized online herbarium specimens provide important, albeit mostly neglected, information on plant phenology. Here, we use the web tool CrowdCurio to crowdsource phenological data from nearly 35,000 herbarium specimens representing 260 flowering plant species broadly distributed across tropical Brazil. Our results, spanning 120 years and generated from over 1000 crowdsourcers, clarify numerous aspects of tropical plant phenology. First, they reveal that plant reproductive timing is exceptionally diverse across tropical biomes and taxa. Second, they identify that phenological responses to climate are variable across taxa and biomes. Third, among those species with broad latitudinal ranges, populations from more southern latitudes are significantly more phenologically sensitive to precipitation than those from northern populations. Our results are robust to a variety of confounding factors and span large phylogenetic distances and various life histories. These may represent more global trends in the latitudinal gradient of tropical phenological response with myriad potential ecological and evolutionary consequences. This dataset may be used for non-commercial purposes. Please provide the following attribution: Davis, C., Lyra, G., Park, D., Zhang, H., Asprino, R., Maruyama, R., Torquato, D., Cook, B., Xie, J., Ellison, A. 2022. Assessing plant phenological patterns in tropical Brazil 1901–2020. Harvard Forest Data Archive: HF427. Please note that the license we provide does not apply to images linked from the data set. P
National Phenology Network tree phenology at Crosby Farm Adaptive Silviculture for Climate Change study, 2021-2025
Phenology is the study of relations between climate and periodic biological phenomena, such as bud break or leaf drop in deciduous trees. Phenology is a leading indicator of climate change, and the response of urban tree species to climate can help inform how to manage for a more resilient, and adaptive urban tree canopy. This dataset contains tree phenology data from the The Mississippi National River and Recreation Area (MNRRA) Urban Affiliate Adaptive Silviculture for Climate Change (ASCC) project located at Crosby Farm Regional Park. This dataset includes Individual Phenometrics, Site Phenomentrics, Status and Intensity, and Magnitude Phenometrics. This data was collected through mobile app submissions to Nature's Notebook and downloaded from the National Phenology Network Observation Portal, filtered by date range 01/01/2021 to 02/26/2024 and for Crosby Farm ASCC. Data Attribution: USA National Phenology Network. 2024. Plant and Animal Phenology Data. Data type: Status & Intensity, Individual Phenometrics, Site Phenometrics, Magnitude Phenometricts. 01/01/2021-02/26/2024 for Region: 45.221627°, -92.554965° (UR); 44.599185°, -93.5712° (LL). USA-NPN, St. Paul, Minnesota, USA. Data set accessed 03/19/2024 at http://doi.org/10.5066/F78S4N1
Modeling dataset: Long-term Change in Metabolism Phenology across North-Temperate Lakes, Wisconsin, USA 1979-2019
This dataset includes model configurations, scripts and outputs to process and recreate the outputs from Ladwig et al. (2021): Long-term Change in Metabolism Phenology across North-Temperate Lakes. The provided scripts will process the input data from various sources, as well as recreate the figures from the manuscript. Further, all output data from the metabolism models of Allequash, Big Muskellunge, Crystal, Fish, Mendota, Monona, Sparkling and Trout are included.
Plant phenology observations in the black sand extended growing season experiment for East Knoll, Audubon, Lefty, and Trough sites, 2018 - 2020.
As a result of climate change, the Rocky Mountain Front Range is experiencing warmer summers and earlier snowmelt. Due to the importance of snow for regulating soil temperature, growing season length, and available moisture in alpine ecosystems, even small shifts in the snow-free period could have large impacts. The focus of the Black Sand Extended Growing Season Length Experiment is to examine how terrain-related differences in climate exposure influence the way alpine habitats respond to climate change via earlier snowmelt. To simulate how climate exposure may affect plant communities, NWT LTER researchers established 5 experimental sites, each containing a pair 10 x 40m rectangular plots. These sites include north and south facing aspects, subalpine and alpine tundra meadows and a range of hydrological conditions (e.g. dry meadows, moist meadows, wet meadows). We accelerated snowmelt in one plot at each site by adding chemically inert black sand, while keeping the second plot as an unmanipulated control; black sand was added to control plots after snow had naturally melted. We used open top warming chambers (OTCs) to increase summer temperature in three subplots within each of the 10 x 40 m plots. This dataset includes measurements of plant species phenology within all snow and warming treatments at all sites except Soddie.
Data and code for: Rachel A Reeb, J Mason Heberling, & Sara E Kuebbing (2024). Cross-continental comparison of plant reproductive phenology shows high intraspecific variation in temperature sensitivity. AoB PLANTS, plae058
<p>Data and Analysis Code for: </p> <p>Rachel A Reeb, J Mason Heberling, Sara E Kuebbing (2024). Cross-continental comparison of plant reproductive phenology shows high intraspecific variation in temperature sensitivity. <em>AoB PLANTS</em>, plae058. <a href="https://doi.org/10.1093/aobpla/plae058">https://doi.org/10.1093/aobpla/plae058</a></p> <p>Includes two R markdown files ("climate_data_extraction_code.rmd" is the script for data extraction and cleaning and "Data_Analysis_V2.rmd" is the analysis script), the associated datasets (in .csv format), and the metadata file ("readme.txt").</p>
Data and code for: Little directional change in the timing of Arctic spring phenology over the past twenty-five years
<p>Data and code accompanying the publication: Little directional change in the timing of Arctic spring phenology over the past twenty-five years.</p> <p>This resource contains 1. R-scripts to calculate yearly phenologies from raw temporally explicit flowerin, arthropod observation and bird nesting data from Zackenberg. The raw data is openly accessible through the Greenland Ecosystem Monitoring database (https://data.g-e-m.dk/), as well as an R-script to carry out most of the analyses presented in the publication. To facilitate the use of the analysis script, pre-produced annual phenologies of focal taxa are included as csv-tables.</p>
IISD Experimental Lakes Area: Ice Phenology and Thickness, 1969-2025 (partial start/end years).
The IISD Experimental Lakes Area (IISD-ELA) Ice Phenology and Thickness data package provides two types of ice data from multiple lakes in northwestern Ontario, Canada. Ice phenology is the timing of when lakes freeze over in the fall and thaw out in the spring, as an ice-on and ice-off date each year, and the days of ice duration for each winter. Ice thickness data includes total ice thickness as well as the complex breakdown of individual layers (snow, slush, white ice, black ice). This data package includes both tabular data and metadata files for each type of ice data. The ice phenology table consists of a row for each ice-on date, ice-off date, and ice duration period for each lake, including the associated sampling method and any comments. The ice thickness table has a row for each measurement of a frozen lake on a specific date, including the total ice thickness and the thickness of individual layers as column values for each row. Metadata in this data package include a table of location coordinates and record counts, and an information sheet for ice phenology and one for ice thickness. The table of coordinates and counts is useful to know where the lakes and specific sampling sites are located and as an overview of data availability per lake (Lake 239 has the longest and most consistent data record, for both ice phenology and thickness). The two info sheets provide additional metadata details about the datasets, including background and uses of the datasets, a data dictionary, diagrams, lookup tables, descriptions of methods, and additional references. For data about lake depth, size, and volume, please consult the most recent version of our bathymetry data package: https://portal.edirepository.org/nis/revisionbrowse?scope=edi&identifier=1276 This data package is ongoing—updates will be provided as data are collected from these lakes in subsequent years. If data are not present for a lake you are interested in from IISD-ELA, please get in touch with us. The
Impact of Snowmelt Timing and Tree Proximity on Dutchman's Breeches Phenology and Performance in Mont Megantic National Park (Quebec, Canada; 2018-2019)
Data herein were collected in 2018 and 2019 in Mont Megantic National Park, Quebec, Canada, in a sugar maple-dominated temperate deciduous forest. Individuals of Dutchman's breeches (Dicentra cucullaria), a common understory spring ephemeral plant that is only active in the spring, were transplanted into a fully factorial experiment of snowmelt timing (early vs. late) and tree proximity (near vs. far) to determine the role of thaw circle formation in the local clustering of this species near canopy tree trunks. Plant phenology (emergence, senescence, and growing season length) and performance (stem abundance and leaf area) were tracked during two years of snow manipulation. Additionally, microclimate temperature data were collected in a subset of plots in 2018.
Phenology of flowers and leaves following experimental warming in the initiation and maturation years for 7 understory boreal plants at the Bonanza Creek Long Term Ecological Research (BNZ LTER) site in Interior Alaska: 2017-2019
This dataset contains the results of experimental warming of flower and leaf buds for 7 understory boreal plants: Rhododendron groenlandicum, Rosa acicularis, Rubus chamaemorus, Shepherdia canadensis, Viburnum edule, Vaccinium uliginosum, and Vaccinium vitis-idaea. Plants in two cohorts were subjected to one of four treatments: warming in the initiation year (the year prior to flowering or leaf-out) only, warming in the maturation year (the year of flowering or leaf-out) only, warming in both years, or no warming (controls). The timing of flowering (both cohorts) and leaf-out (usually one cohort) was monitored. We also tracked developmental stages of the flower bud primordia using repeated desctructive sampling followed scanning electron microscopy throughout the initiation years. Environmental data associated with the plots, including air temperature throughout the summer, soil temperature and depth of ground thaw in late May, and canopy cover, are also reported.
Phenological Responses of Equisetum arvense to Early-season Soil and Air Warming in Reseach Plots on the University of Alaska Fairbanks North Campus - May through September 2023
This dataset contains the phenological stages of Equisetum arvense (horsetails) subjected to snow removal in spring (which led to ground warming) and to air warming using open topped chambers in a two by two factorial experiment. The main dataset contains the phenological phases of plants in plots of subjected to the four treatments between 1 May and 29 September 2023, and height data. Supplementary files contain temperature data for dataloggers placed in the soil and in the air and file information.
Hubbard Brook Experimental Forest: Routine Seasonal Phenology Measurements, 1989 - present
Spring and Fall leaf phenology observations have been made at 9 locations at the Hubbard Brook Experimental Forest since 1989. Timing and progression of spring leaf out and fall senescence are recorded for 3 dominant tree species, sugar maple, yellow birch, and beech, in treated and untreated watersheds and high and low elevations. Weekly measurements are taken during the active period of the fall or spring season. These data were gathered at the Hubbard Brook Experimental Forest in North Woodstock, NH, which is operated and maintained by the USDA Forest Service, Northern Research Station.
Systems Ecology Lab Bajada Site: Weekly phenology observations of shrub and grass species at a bajada site at Jornada Basin LTER from 2010-2019
This dataset contains field-observed plot level phenology data for three perennial shrubs and one perennial grass at a bajada site at the Jornada Basin LTER site from 2010 to present. Shrubs include creosote (Larrea tridentata), honey mesquite (Prosopis glandulosa), and tarbush (Fluorensia). The grass is bush muhly grass (Muhlenbergia porteri). The protocols and phenophase categories were developed by the US National Phenology Network (US-NPN) to detect the different life-cycles of the plant, from leaf development (breaking leaf buds, young unfolded leaves, percentage of leaves in canopy), to flower development (flower buds, open flowers, full flowering), and presence of fruit (ripe fruits, fruits from past growing season). Field data sheets were modified from the US-NPN to record the presence or absence of each phenophase recorded at each observation period for each tagged plant. This dataset is complete.
Core Site Phenology Study from the Chihuahaun Desert Grassland and Shrubland at the Sevilleta National Wildlife Refuge, New Mexico
Plant phenology or life-history patterns change seasonally as plants grow, mature, flower, and produce fruit and seed. Plant phenology follows seasonal patterns, yet variation may occur due to annual differences in the timing of rainfall and ambient temperature shifts. Foliage growth, flower, fruit, and seed production are important aspects of plant population dynamics and food resource availability for animals. The purpose of this study is to assess phenological patterns of plants across a series of biotic communities that represent an environmental moisture gradient. These communities all in the Chihuahuan Desert include: creosote bush shrubland, black grama grassland, and blue grama grassland. Plant phenology is recorded for all plant species across 4 replicate 200 m transects at each of the 3 habitat sites. Plant phenology measurements are taken once every month from February through October. The first ten individuals (or ten representative individuals) of each plant species encountered along each transect are assessed for life-history status. Data from the site P and J were only collected in 2000 and 2001 and are included in this data set.
Sevilleta plant phenology predicts stability of primary production from 2002 to 2020.
The temporal stability of plant productivity affects species’ access to resources, exposure to stressors, and strength of interactions with other species in the community, including support to the food web. The magnitude of temporal stability may depend on how a species allocates resources across phenological stages, such as vegetative growth versus reproduction. Understanding whether and how plant phenological traits correlate with the long-term stability of plant biomass is particularly important in highly variable environments, such as drylands. We evaluated whether phenological traits predict the temporal stability of plant species productivity by correlating 18 years of monthly phenology observations with biannual estimates of aboveground plant biomass for 98 plant species from semi-arid grasslands and shrublands. We then paired these phenological traits with potential climate drivers to identify abiotic contexts that favor specific phenological strategies among plant species. Phenological traits strongly predicted the stability of plant species biomass. Plant species with longer annual vegetative phenophases had more stable production over time but also failed to fruit in a greater proportion of years, indicating a growth-reproduction trade-off. Earlier leaf- out dates, longer fruiting duration, and longer time lags between leaf and fruit production also predicted greater temporal stability. Species with stability-promoting traits began growing in drier conditions than their counterparts and experienced greater exposure to stress, evaluated by the wider range of temperatures and precipitation during biologically active periods. Our results suggest that bet-hedging strategies which spread resource acquisition and reproduction over longer time periods help to stabilize plant species productivity in variable environments.
Global Phytoplankton Phenological Indices - 25km resolution
<p>Bloom phenology metrics calculated from OC-CCI v6.0 data at a spatial resolution of 25km. </p> <p>Metrics calculated using three approaches:</p> <ol> <li>Threshold method</li> <li>Cumulative Sum method</li> <li>Rate of Change method</li> </ol> <p> </p> <p><strong>Version 1.0:</strong></p> <ul> <li>Data from 1997 to 2022.</li> </ul> <p><strong>Version 1.1:</strong></p> <ul> <li>Data from 1997 to 2023.</li> </ul> <p> </p>
Plant Atlas 2020 — British and Irish phenological data (flowering and leafing ranges)
<p>Plant Atlas 2020 is the most comprehensive survey of plants (flowering plants, ferns and charophytes) ever undertaken in Britain and Ireland. It is based on over 30 million records, collected mainly by volunteer recorders of the Botanical Society of Britain and Ireland (BSBI) between 2000 and 2019, as well as previous nationwide surveys undertaken in the 1950s and 1990s. This resource provides the data behind the phenological diagrams (flowering and leafing) presented on the Plant Atlas 2020 website (<a href="http://www.plantatlas2020.org"><span>www.plantatlas2020.org</span></a><span>) and in the <em>Plant Atlas 2020</em> book. </span><span>Note that for non-flowering plants included in the atlas (e.g. ferns, horsetails etc.), the “flowering” fields in the phenology file included here are equivalent to the months when spore-bearing structures are visible.</span></p>
2006_2009_MODIS_Phenology
<p>This dataset supercedes the previousl MODIS Phenology datasets based on MODIS V4 data lebelled 'Green up' and 'senescence'.</p> <p>A number of coverages have been processed and extracted from the global MODIS Land Cover Dynamics datasets derived by Boston University (http://www.bu.edu/lcsc/research/land-cover-dynamics) from the NASA MOD12Q2 MODIS tiled phenology layers (https://lpdaac.usgs.gov/products/modis_products_table/mcd12q2). A detailed user guide (http://www.bu.edu/lcsc/files/2012/08/MCD12Q2_UserGuide.pdf, and http://modis.gsfc.nasa.gov/data/atbd/atbd_mod12.pdf) has been released by the Boston University team which provides detailed technical specifications and describes the methods used to calculate the layer values.</p> <p>In summary, these datasets for version 5 were produced twice a year (January and June) between 2001 and early 2010. For each date, a series of parameters were calculated of which five are provided here for 2006 to 2010: Green Up and Senescence , which represent the dates when new green vegetation started be detected at the beginning of a growth cycle, and when the fall in greenness stopped at the end of the cycle.</p> <p>Because some areas have more than once cycle a year, two images are produced for each date: Cycle 1 and Cycle2 . Thus, the Cycle 1 green up image for January 2006 contains the date (expressed as days from January 1 2000) of the green up event for the first cycle occurring between the end of June 2005 and the beginning of July 2006, whilst the Cycle 2 image contains the date for the green up event of the second cycle occurring in that period.</p> <p>This can be confusing, for a detailed explanation with examples please refer to the document included within this download "MODIS PHENOLOGY DATA DESCRIPTION_v2.doc".</p>
Genotyping-by-sequencing (GBS) dataset for genome wide associations of growth, phenology and plasticity traits in willow (Salix viminalis (L.))
<p>These vcf-files constitute underlying raw data material for the manuscript "Genome wide associations of growth, phenology and plasticity traits in willow (Salix viminalis (L.))". For more detailed information please consult the README file in the repository.</p>
Ice Phenology for 58 Lakes in Maine, USA, 2002/2003-2017/2018
This dataset contains ice phenology for 58 lakes in Maine, USA between winter 2002/2003 and 2017/2018 from the Lake Stewards of Maine Volunteer Lake Monitoring Program, Maine Department of Environmental Protection, and the Auburn Water District/Lewiston Water Division. Ice-off data in this dataset are available for all 58 lakes, ice-on data are available for 13 lakes. These data are a subset of all ice phenology data available from each of the data sources. Lakes had at least four years of ice phenology data and each lake is at least 3 km2 to facilitate the pairing of MODIS temperature data.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.