Skip to main content
Advanced Search

Filters: Tags: plant biomass (X)

7 results (1.1s)   

View Results as: JSON ATOM CSV
thumbnail
Note: This dataset has been revised and superseded by version 2.0, available here: https://doi.org/10.5066/P90PG34S. Remote sensing based maps of tidal marshes, both of their extents and carbon stocks, have the potential to play a key role in conducting greenhouse gas inventories and implementing climate mitigation policies. Our objective was to generate a single remote sensing model of tidal marsh aboveground biomass and carbon that represents nationally diverse tidal marshes within the conterminous United States (CONUS). To meet this objective we developed the first national-scale dataset of aboveground tidal marsh biomass, species composition, and aboveground plant carbon content (%C) from six CONUS regions:...
thumbnail
These plant and soil data were collected by Timothy M. Wertin and Sasha C. Reed in the spring, summer, and fall of 2011 at a climate manipulation experiment site near Moab, UT (38.521411, -109.470567). These data were collected to assess how warming affects leaf photosynthesis, soil CO 2 efflux, and soil chemistry in plots of ambient and warming treatments.
thumbnail
These data were compiled for the Altar Valley Conservation Alliance and the U. S. Fish and Wildlife Service to identify and quantify the spatial distribution of fine fuels in relation to wildfire management across jurisdictional boundaries. Objective(s) of our study were to map the 2021 annual distribution of the biomass (kg/ha) of fine fuels (grasses, shrubs, and forbs) for the whole of the Altar Valley, AZ, including the Buenos Aires National Wildlife Refuge. These data represent estimated biomass of fine fuels (kg/ha) at a 10-m resolution. These data were collected/created in September through October 2021 for the Altar Valley, located in Pima County, AZ, USA. These data were collected/created by the U.S. Geological...
thumbnail
Remote sensing based maps of tidal marshes, both of their extents and carbon stocks, have the potential to play a key role in conducting greenhouse gas inventories and implementing climate mitigation policies. Our objective was to generate a single remote sensing model of tidal marsh aboveground biomass and carbon that represents nationally diverse tidal marshes within the conterminous United States (CONUS). To meet this objective we developed the first national-scale dataset of aboveground tidal marsh biomass, species composition, and aboveground plant carbon content (%C) from six CONUS regions: Cape Cod, MA, Chesapeake Bay, MD, Everglades, FL, Mississippi Delta, LA, San Francisco Bay, CA, and Puget Sound, WA....
thumbnail
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...
thumbnail
These data were compiled for a study that investigated the effects of drought seasonality and plant community composition on two dominant perennial grasses, Achnatherum hymenoides (C3 photosynthesis), and Pleuraphis jamesii (C4 photosynthesis), in a dryland ecosystem. In 2015 USGS 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...
Tags: Achnatherum hymenoides, Botany, C3 photosynthesis, C4 photosynthesis, Canyonlands National Park, All tags...
thumbnail
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 the Buenos Aires National Wildlife Refuge during leaf-on (August) and leaf-off (November) time periods annually...


    map background search result map search result map Experimental Design Plant and Soil Measurement Data for Achnatherum hymenoides from a warming experiment, Colorado Plateau, 2011 - Data Tidal marsh biomass field plot and remote sensing datasets for six regions in the conterminous United States Biomass/Remote Sensing dataset: 30m resolution tidal marsh biomass samples and remote sensing data for six regions in the conterminous United States Precipitation, soil moisture, and vegetation data from 36 experimental plots in southeastern Utah, near Canyonlands National Park (2015 - 2018) Remotely sensed fine fuel data for Buenos Aires National Wildlife Refuge (BANWR) from 2015 to 2020 Remotely sensed fine-fuel data for Buenos Aires National Wildlife Refuge (BANWR) from 2015 to 2020 Predicted biomass of fine fuel for Altar Valley, Arizona, 2021 Precipitation, soil moisture, and vegetation data from 36 experimental plots in southeastern Utah, near Canyonlands National Park (2015 - 2018) Experimental Design Plant and Soil Measurement Data for Achnatherum hymenoides from a warming experiment, Colorado Plateau, 2011 - Data Remotely sensed fine fuel data for Buenos Aires National Wildlife Refuge (BANWR) from 2015 to 2020 Remotely sensed fine-fuel data for Buenos Aires National Wildlife Refuge (BANWR) from 2015 to 2020 Predicted biomass of fine fuel for Altar Valley, Arizona, 2021 Tidal marsh biomass field plot and remote sensing datasets for six regions in the conterminous United States Biomass/Remote Sensing dataset: 30m resolution tidal marsh biomass samples and remote sensing data for six regions in the conterminous United States