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Filters: Tags: primary production (X) > Date Range: {"choice":"year"} (X)

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This dataset is a single comma-delimited text file (.csv). Data include the name of lakes where sampling occurred, approximate geographic coordinates of each lake, historical dynamics of the lake, and indication of measurements taken at the lake.
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This dataset is a single comma-delimited text file (.csv). Data include the name of lakes where samples were obtained, the historical dynamics of that lake, the sampled community type, and the dry mass of annual new growth. Shrub community measurements are a combination of understory mass from quadrat harvests and shrub stem mass derived from published allometric equations.
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This dataset provides timeseries of model input and output data and is part of a larger data release of inputs and outputs from a model to predict light at the stream surface and within the water column for 173 streams and rivers across the continental United States. The complete release contains model input data, modeled estimates of light at the stream surface and within the water column, and modeled estimates of gross primary productivity.
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This dataset provides a common validation set for estimates of gross primary productivity. This data represents a subset of all predictions made in the model inputs and outputs that were converted to GPP based on a light use efficiency. The data was subsetted for only days were all light estimates could be produced. This dataset is part of a larger data release of inputs and outputs from a model to predict light at the stream surface and within the water column for 173 streams and rivers across the continental United States. The complete release contains model input data, modeled estimates of light at the stream surface and within the water column, and modeled estimates of gross primary productivity.
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This data release provides seven datasets of soil and vegetation data from lake margin soils from throughout the Yukon Flats National Wildlife Refuge. Data includes multiple lakes that are defined as either stable or drying. Lake margin vegetation communities include graminoid, shrub, and forest. Sols are separated into organic and mineral layers. Microbial data includes different phospholipid fatty acids and soil enzyme activity data for multiple enzymes involved in C,N, and P cycling. Data also includes information on respiration rate constants (k) and labile substrate pool (Ao) from soil incubations. Other soil chemical attributes such as soil pH, electrical conductivity, percent C and percent N are also included.
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This dataset provides information on site identifiers, location information, and model parameters. The format is a tab-delimted file with 1 row per site. This dataset is part of a larger data release of inputs and outputs from a model to predict light at the stream surface and within the water column for 173 streams and rivers across the continental United States. The complete release contains model input data, modeled estimates of light at the stream surface and within the water column, and modeled estimates of gross primary productivity.


    map background search result map search result map Light model and GPP estimates for 173 U.S. rivers: 1. Site information and parameters Light model and GPP estimates for 173 U.S. rivers: 2. Model inputs and outputs Light model and GPP estimates for 173 U.S. rivers: 3. Model validation dataset Soil and Vegetation Data from Lake-Margin Wetlands in the Yukon Flats National Wildlife Refuge Aboveground Net Primary Production Estimates from the Yukon Flats National Wildlife Refuge Overview of Sampled Lakes, Yukon Flats National Wildlife Refuge Soil and Vegetation Data from Lake-Margin Wetlands in the Yukon Flats National Wildlife Refuge Aboveground Net Primary Production Estimates from the Yukon Flats National Wildlife Refuge Overview of Sampled Lakes, Yukon Flats National Wildlife Refuge Light model and GPP estimates for 173 U.S. rivers: 1. Site information and parameters Light model and GPP estimates for 173 U.S. rivers: 2. Model inputs and outputs Light model and GPP estimates for 173 U.S. rivers: 3. Model validation dataset