Filters: Tags: Biomass (X) > Categories: Data (X)
35 results (11ms)
Filters
Date Range
Extensions Types Contacts
Categories Tag Types
|
All gillnet data represented here expand upon vessel operations (OP table) data, all of which are collected by the United States Geological Survey, Great Lakes Science Center and its partners. The Gillnet Tables contain data collected from the research vessel deploying various gear used for gillnet data collection. The database uses sample_type to indicate the gear deployed. The tables relating to Gillnet are: GN_Annulus.csv, GN_Catch.csv, GN_Effort.csv, GN_Fish.csv, GN_L, GN_LF.csv, GN_OP.csv, GN_Prey.csv, GN_Stomach.csv, LMMB_Fish_Prey.csv, and LMMB_Invert_Prey.csv Data Quality: Note that the following data release is a snapshot of the database at the time of release. Some data quality checks are still being...
These data were compiled for a study that investigated the effects of drought seasonality and plant community composition in a dryland ecosystem. In 2015 U.S. Geological Survey ecologists recorded vegetation and soil moisture data in 36 experimental plots which manipulated precipitation in two plant community types. The experiment consisted of three precipitation treatments: control (ambient precipitation), cool-season drought (-66% ambient precipitation November-April), and warm-season drought (-66% ambient precipitation May-October), applied in two plant communities (perennial grasses with or without a large shrub, Ephedra viridis) over a three-year period. These data were collected from 2015 to 2022 near Canyonlands...
Categories: Data;
Tags: Achnatherum hymenoides,
Botany,
C3 photosynthesis,
C4 photosynthesis,
Canyonlands National Park,
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.
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.
This data release is comprised of tidal marsh biomass data and spatial predictions of peak biomass and Julian day of peak biomass using data from the Landsat archive. Aboveground biomass dry weight of mixed-species plots (25x50 cm) at a tidal marsh in Willapa Bay, Washington were used to establish a relationship between biomass and tasseled cap greeness (TCG). The julian day of annual peak greenness and the value of annual peak greenness for 32 years at Bandon National Wildlife Refuge (NWR), Grays Harbor NWR, and Nisqually NWR was calculated by fitting a Gaussian function to the TCG values for a given year. The value of each 30 meter pixel is the Julian day of maximum predicted TCG or the maximum predicted TCG....
All mensuration data represented here expand upon vessel operations (OP table) data, all of which are collected by the United States Geological Survey, Great Lakes Science Center and its partners. The Mensuration Tables contain data collected from the research vessel deploying various gear used for mensuration data collection. The database uses sample_type to indicate the gear deployed. The tables relating to Mensuration are: Mensuration.csv, MS_head_rope_depth.csv, MS_FOOT_ROPE_DEPTH, MS_Primary.csv, MS_Temperature.csv, and MS_Wingspread.csv Data Quality: Note that the following data release is a snapshot of the database at the time of release. Some data quality checks are still being undertaken after the time...
Plot-level field data were collected in the summer of 2014 to estimate aboveground and belowground biomass in the Great Dismal Swamp National Wildlife Refuge and Dismal Swamp State Park in North Carolina and Virginia. Data were collected at 85 plots. The location of the center of each plot was recorded with a Trimble ProXH global positioning system (GPS) and differentially corrected. Data files included 1: GDS_plots.csv, 2. GDS_FWD.csv, 3. GDS_LWD.csv, 4. GDS_Shrubs.csv, 5. GDS_Trees.csv, and 6. GDS_plot_summaries.csv. The data contained in GDS_plot_summaries.csv were calculated from the GDS_plots.csv, GDS_FWD.csv, GDS_LWD.csv, GDS_Shrubs.csv, GDS_Trees.csv files using the R statistical software environment (R Core...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Biomass,
Botany,
Cover,
Duff,
Ecology,
The Long Term Resource Monitoring (LTRM) program employs a destructive harvest method for sampling aquatic vegetation whereby a rake is dragged ~1.5 m over the substrate and plant materials are retrieved. The density of each species of submersed aquatic vegetation (SAV), and of all species combined, are scored based on the amount of plant material collected on the teeth of each rake. Plant density (PD) scores are ordered and vary from 0 (no plants captured) to 5 (80-100% of rake teeth covered). The PD score of 1 has represented the vast majority of all non-zero values since 1998 and is associated with a wide range of biomass (e.g. <1g to 694g fresh weight in Pools 4 and 8 during the 2017 field season). However,...
Access database with terrestrial invertebrate abundance and biomass data in addition to weather data. Arctic Shorebird Demographic Network Camp locations: Nome, Cape Krusenstern, Barrow, Ikpikpuk, Colville, Prudhoe Bay, Canning River, Mackenzie Delta, and East Bay. Latitude and Longitude for each camp are provided in a table in the database.
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: ANIMALS/INVERTEBRATES,
ANIMALS/INVERTEBRATES,
ANIMALS/INVERTEBRATES,
ANIMALS/INVERTEBRATES,
ARTHROPODS,
These data are the primary data used to model rainbow trout growth in Glen Canyon. Fish growth data were collected from nighttime boat electrofishing field campaigns conducted five to six times per year in April, July, September, and January, from April 2012 through November 2021 for a total of 9798 observations of mark-recapture-based growth. Sampling was conducted in a five km reach in the lower portion of the Glen Canyon tailwater (3.7-8.9 km upstream of Lees Ferry, AZ). Two nights of sampling occurred on each trip, with the central 2-3 km of the reach sampled on both nights. After capture, fish were kept in aerated 40-L buckets and transported to a central processing location. Groups of 10-15 fish were anesthetized...
The accompanying dataset was produced as part of a project funded under NASA’s Terrestrial Ecology Program and titled “The National Biomass and Carbon Dataset 2000 (NBCD 2000): A High Spatial Resolution Baseline to Reduce Uncertainty in Carbon Accounting and Flux Modeling.” The main objective of the project was to generate a high-resolution (30 m), year-2000 baseline estimate of basal area-weighted canopy height, aboveground live dry biomass, and standing carbon stock for the conterminou The accompanying dataset was produced as part of a project funded under NASA’s Terrestrial Ecology Program and titled “The National Biomass and Carbon Dataset 2000 (NBCD 2000): A High Spatial Resolution Baseline to Reduce...
Categories: Data;
Types: ArcGIS REST Map Service,
Map Service;
Tags: Biomass,
Carbon,
NBCD,
Woods Hole Field Center,
flux
Yes, all data values are reasonable and within the valid range for measurement. The data release consists of 15 tabular data files (csv). These data were compiled to compare patterns and potential drivers of leaf litter decomposition in the Colorado River downstream of Glen Canyon Dam between 1998 and 2022. Objective(s) of our study were to compare the breakdown of cottonwood (Populus fremontii), willow (Salix exigua), and salt cedar (Tamarix chinensis) leaves to a previous decomposition experiment from 1998 (Pomeroy et al. 2000) that was conducted in the context of much cooler water temperatures, higher phosphorus concentrations, lower New Zealand mudsnail densities, and salt cedar litter that was unaffected by...
Estimation of submersed aquatic vegetation (SAV) biomass was evaluated using field data collected in 2017, and targeted analyses of three existing data sets: 1) Yin and Kreiling (2001), Drake et al. (2016), and 3) LTRM vegetation data (1998 – 2017). Two field studies were completed in 2017. The first targeted SAV biomass in raked plots and was conducted in collaboration with USFWS annual Lake Onalaska Vallisneria americana monitoring. In the second study, fresh weights of raked SAV were recorded at approximately 10% of LTRM Pools 4 and 8 2017 sampling sites.
Categories: Data;
Tags: Biomass,
Mississippi River,
Mississippi River,
Submersed Aquatic Vegetation,
USGS Science Data Catalog (SDC),
Note: this data release has been deprecated. Please see new data release here: https://doi.org/10.5066/P9347I2H. These data were compiled to estimate fine-fuel abundance and distribution across the Buenos Aires National Wildlife Refuge in southern Arizona, USA. The objectives of the study were to develop and validate annual estimates of fine fuel (biomass of herbaceous vegetation) for the refuge and to assess changes in fine fuels through time in response to wildfire and prescribed fire. These data represent the amount of herbaceous biomass or fine fuels (kg/ha) present at a 10-m resolution derived from in-situ estimates of ground cover modeled with satellite imagery. These satellite image data were collected over...
Categories: Data;
Tags: 10-m resolution,
Arizona,
Botany,
Buenos Aires National Wildlife Refuge,
Ecology,
Aboveground Biomass Data from Pohnpei, Federated States of Micronesia. Plot data includes X and Y location, downed dead wood (DDW) count, mangrove species identification, and site descriptions. Species information was recorded for Bruguiera gymnorhiza, Sonneratia alba, Xylocarpus granatum, Lumnitzera littorea, Rhizophora apiculata, Rhizophora lamarckii, Rhizophora mucronata, Rhizophora stylosa and Ceriops tagal. Mangroves were inventoried for species identification, diameter at breast height (DBH), height, and dead status.
Categories: Data;
Tags: Biomass,
Carbon Sinks,
Ecosystem Management,
Federated States of Micronesia,
Field Inventory and Monitoring,
This dataset contains benthic epifauna biomass and abundance data collected in the Chukchi Sea, U.S. Arctic during the 9 August - 3 September 2015 Arctic Marine Biodiversity Observing Network (AMBON) research cruise aboard the vessel Norseman II. The dataset contains two comma separated values (csv) files exported from Microsoft Excel. These data were generated from epifauna samples conducted using beam trawls during the research cruise. The data in the file named AMBON2015_epifauna_abundance_DWC.csv describes abundance per taxon of epibenthic invertebrates. The data in the file named AMBON2015_epifauna_biomass_DWC.csv describes biomass per taxon of epibenthic invertebrates. This dataset was transformed into a table...
Categories: Data;
Tags: AMBON,
Acanthonotozoma,
Acanthonotozoma inflatum,
Acanthonotozoma rusanovae,
Acanthostepheia behringiensis,
The efficacy and subsurface application of Zequanox®, a commercially prepared spray-dried powder formulation of Pseudomonas fluorescens (strain CL145A), were evaluated for controlling zebra mussels (Dreissena polymorpha) within 27-m2 enclosures in Lake Minnetonka (Deephaven, Minnesota). Five treatments consisting of (1) two whole water column Zequanox applications, (2) two subsurface Zequanox applications, and (3) an untreated control were completed on each of three independent treatment days during September 2014. The two types of samplers used in the study were (1) custom built multi-plate samplers (type 1 samplers), with wood, perforated aluminum, and tile substrates that were placed into Robinson’s Bay in June...
Categories: Data;
Types: Citation;
Tags: Lake Minnetonka,
Minnesota,
Pseudomonas fluorescens strain CL145A,
USGS Science Data Catalog (SDC),
Zequanox,
This dataset contains zooplankton species distribution and abundance data collected in the Chukchi Sea during the August 2017 Arctic Marine Biodiversity Observing Network (AMBON) research cruise. The dataset is a comma separate values file (csv) exported from a Microsoft Excel spreadsheet. The data include the location, date, time, depth, abundance and biomass of zooplankton collected during the 2017 AMBON cruise. Zooplankton were caught with traditional 150µm plankton nets and taxonomically identified. Each data file include the location, date, time, depth, and identification of zooplankton taxa collected during the 2015 AMBON cruise. The data in the file named AMBON2017_Zooplankton_Abundance_150_DC.csv and AMBON2017_505_Zooplankton_Abundance_DWC.csv...
Categories: Data;
Tags: AMBON,
Acartia,
Acartia longiremis,
Aeginopsis laurentii,
Arctic Marine Biodiversity Observation Network,
Marine biodiversity is a key component of ocean health. Monitoring and understanding marine biodiversity is essential for our ability to forecast and respond to changes. The goal of the Arctic Marine Biodiversity Observing Network (AMBON) project is to demonstrate and build an operational marine biodiversity observing network from microbes to whales, integrating diversity levels from genetic to organismal. AMBON field region is located on the Chukchi Sea continental shelf in the US Arctic as a region exposed to climatic changes and anthropogenic influences. This dataset contains biomass and abundance data collected in the Chukchi Sea during the August 2017 Arctic Marine Biodiversity Observing Network (AMBON) research...
Categories: Data;
Tags: AMBON,
Amphipoda,
Annelida,
Arctic Marine Biodiversity Observation Network,
Arctic Ocean,
Mangrove inventory data from J.N. Ding Darling National Wildlife Refuge, Sanibel Island, Florida, USA collected in 2016 and 2017. Plot data includes X and Y downed dead wood count, mangrove species information and site descriptions. Tree data includes the three species found on the refuge: Avicennia germinans (Black mangroves), Laguncularia racemosa (White mangroves) and Rhizophora mangle (Red mangroves). They were inventoried for diameter at breast height (DBH), height, and dead status.
|
|