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Geospatial data were developed to characterize pre-fire biomass, burn severity, and biomass consumed for the Black Dragon Fire that burned in northern China in 1987. Pre-fire aboveground tree biomass (Mh/ha) raster data were derived by relating plot-level forest inventory data with pre-fire Landsat imagery from 1986 and 1987. Biomass data were generated for individual species: Dahurian larch (Larix gmelinii Rupr. Kuzen), white birch (Betula platyphylla Suk), aspen (Populus davidiana Dode and Populus suaveolens Fischer), and Mongolian Scots pine (Pinus sylvestris var. mongolica Litvinov). A raster layer of total aboveground tree biomass was also generated. Burned area was manually delineated using the normalized...
Assessment The suite of data products and visualization tools presented here are developed as part of a national ecosystem assessment conducted by the U.S. Geological Survey (USGS). The carbon sequestration and greenhouse gas (GHG) flux assessment was mandated by the Energy Independence and Security Act of 2007 (EISA), which directed the U.S. Department of the Interior to conduct a national assessment to quantify: The amount of carbon stored in ecosystems The capacity of ecosystems to sequester carbon The rate of GHG fluxes in and out of the ecosystems The assessment focused on changes in carbon stocks and fluxes in all the major ecosystems, and on the major natural and anthropogenic processes that control carbon...
The RTK survey, using a Trimble unit, was conducted in August 2021 in the coastal plains region (1002 area) of the Arctic National Wildlife Refuge, as part of a landscape vulnerability assessment. A total of six transects are included in the data, including five research sites and one transect collected at the camp site. Mean horizontal precision was 0.006m, mean vertical precision was 0.011m.
Categories: Data;
Tags: Arctic,
Arctic National Wildlife Refuge,
Climatology,
Geography,
Geomorphology,
Daily HOBO Pro V.2 soil temperature measurements at the Great Dismal Swamp National Wildlife Refuge (2015-2017). Data collected in Great Dismal Swamp National Wildlife Refuge in Southern VA and Northern NC from 9 plot sites representing three general forest types: Atlantic White Cedar, Pocosin Pine, and Maple and Gum.
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Climate,
Great Dismal Swamp National Wildlife Refuge,
Soil Sciences,
USGS Science Data Catalog (SDC),
Wetland
This dataset provides maps of biomass carbon (C) in gC/m2 of coastal herbaceous wetlands at a resolution of 30 m across the conterminous United States (CONUS) for 2015.
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Biological Productivity,
Biomass,
Blue Carbon,
Carbon Sink,
Remote Sensing,
The Great Dismal Swamp (GDS) project is an application of USGS LandCarbon, at the US Fish and Wildlife Service's (FWS) Great Dismal Swamp National Wildlife Refuge (NWR), and is designed to produce local-scale carbon estimates (including fluxes, ecosystem balance, and long-term sequestration rate) to include in an ecosystem service assessment in support of Department of Interior (DOI) land management activities. The project will improve the understanding of the effects of past drainage, logging, farming, and management on carbon sequestration and fire risk in peatlands. Broad Science Questions: How are ecosystem services (including carbon sequestration, wildlife viewing, water quality, and others) impacted by management...
Categories: Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Atlantic White Cedar,
Carbon Flux,
Carbon Stock,
Disturbance,
Ecosystem Services,
This assessment was conducted to fulfill the requirements of section 712 of the Energy Independence and Security Act of 2007 and to contribute to knowledge of the storage, fluxes, and balance of carbon and methane gas in ecosystems of Alaska. The carbon and methane variables were examined for major terrestrial ecosystems (uplands and wetlands) and inland aquatic ecosystems in Alaska in two time periods: baseline (from 1950 through 2009) and future (projections from 2010 through 2099). The assessment used measured and observed data and remote sensing, statistical methods, and simulation models. The national assessment, conducted using the methodology described in SIR 2010-5233, has been completed for the conterminous...
Categories: Publication;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Report Citation;
Tags: Alaska,
Assessment,
Carbon flux,
Carbon stock,
Ecosystems
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 data release provides inputs needed to run the LANDIS-II landscape change model, NECN and Base Fire extensions for the Greater Yellowstone Ecosystem (GYE), USA, and simulation results that underlie figures and analysis in the accompanying publication. We ran LANDIS-II simulations for 112 years, from 1988-2100, using interpolated weather station data for 1988-2015 and downscaled output from 5 general circulation models (GCMs) for 2016-2100. We also included a control future scenario with years drawn from interpolated weather station data from 1980-2015. Model inputs include raster maps (250 × 250 m grid cells) of climate regions and tables of monthly temperature and precipitation for each climate region. We...
We are provoding a set of table and maps that provides summary of ecosystem carbon balance (pools and fluxes) as simulated by the Dynamic Organic Soil version of the Terrestrial Ecosystem Model. Simulations are provided for the historical period from 1950 to 2009 and projections from 2010 to 2099, for the four main landscape conservation cooperative regions in Alaska (i.e. the Arctic, the Western Alaska, the North Pacific and the Northwest Boreal LCCs). Projections have been conducted at 1km-resolution for two set of climate scenarios for the A1B, B1 and A2 emission scenarios of the Intergovernmental Panel on Climate Change Special Report on Emissions Scenarios (IPCC-SRES). The two global circulation models used...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Alaska,
Carbon balanace,
NCCWSC,
Soil,
Terrestrial ecosystem,
This assessment was conducted to fulfill the requirements of section 712 of the Energy Independence and Security Act (EISA) of 2007 and to improve understanding of carbon and greenhouse gas (GHG) fluxes in the Great Plains region in the central part of the United States. The assessment examined carbon storage, carbon fluxes, and other GHG fluxes (methane and nitrous oxide) in all major terrestrial ecosystems (forests, grasslands/shrublands, agricultural lands, and wetlands) and freshwater aquatic systems (rivers, streams, lakes, and impoundments) in two time periods: baseline (generally in the first half of the 2010s) and future (projections from baseline to 2050). The assessment was based on measured and observed...
Categories: Publication;
Types: Report Citation;
Tags: Assessment,
Carbon flux,
Carbon stock,
Great Plains Region of the United States
Product Description: This dataset provides maps of peak biomass carbon stock (C) in gC/m2 and net primary productivity (NPP) in gC/m2/yr of coastal herbaceous wetlands at a resolution of 30 m across the conterminous United States (CONUS) for 2015. Aboveground, belowground, and total peak biomass C and NPP are provided for tidal herbaceous wetlands. Data is presented for 1. all herbaceous/emergent marshes, 2. palustrine emergent marshes and 3. estuarine emergent marshes. Background: Spatial assessments of greenhouse gas emissions and carbon sequestration in natural ecosystems are necessary to develop climate mitigation strategies. Regional and national-level assessments of carbon sequestration require high-resolution...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Biological Productivity,
Biomass,
Blue Carbon,
Carbon Sink,
Ecology,
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.
Areas along the Arctic coast are changing the fastest among all of Earth’s habitats due to climate change. The Arctic coast is a fragile ecosystem that provides habitat for migratory birds, endangered species, and species critical for local subsistence living. In this area, permafrost is thawing rapidly, changing how much and when water reaches rivers, ponds, lakes, wetlands and groundwater. In addition, there is also a growing interest in oil and gas resource exploration. With ongoing permafrost thaw, future warming, and interests in oil and gas extraction in the coastal plain (also known as the 1002 area) of the Arctic National Wildlife Refuge, it is urgent to improve the understanding of this area and its vulnerability...
Categories: Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2021,
Alaska,
Alaska,
Alaska CASC,
Alaska CASC,
Mangrove species dominance on Pohnpei island, Federated States of Micronesia was modeled with two geospatial model types: k-nearest neighbor (KNN) and random forest (RF) and a common set of predictors. Dominant mangroves were defined as species comprising the largest basal area per field plot. The RF model predicted species dominance for each species separately, resulting in 8 maps (one for each species). The maps of Rhizophora stylosa and R. mucronata dominance were combined because these species were difficult to tell apart in field identification (resulting in the 7 maps presented here). The KNN model produced one map, which shows all species' dominance locations in one raster layer. The KNN model results were...
The effects of changing climate and disturbance on mountain forest carbon (C) stocks vary with tree species distributions and over elevational gradients. Warming can not only increase C uptake by stimulating productivity at high elevations but also enhance C release by increasing respiration and the frequency, intensity and size of wildfires. To understand the consequences of climate change for temperate mountain forests, we simulated interactions among climate, wildfire, tree species and their combined effects on regional C stocks in forests of the Greater Yellowstone Ecosystem, USA (GYE) with the LANDIS‐II landscape change model. Simulations used historical climate and future potential climate represented by downscaled...
Categories: Publication;
Types: Citation
This dataset provides maps of net primary productivity (NPP) in gC/m2/yr of coastal herbaceous wetlands at a resolution of 30 m across the conterminous United States (CONUS) for 2015.
This data release provides inputs needed to run the LANDIS PRO forest landscape model and the LINKAGES 3.0 ecosystem process model for the area burned by the Black Dragon Fire in northeast China in 1987, and simulation results that underlie figures and analysis in the accompanying publication. The data release includes the fire perimeter of Great Dragon Fire; input data for LINKAGES including soils, landtype, and climate data; initial conditions of stands in the study area before the Great Dragon Fire; and maps of LANDIS PRO output for each model grid cell including total trees, total biomass (Mg/ha), and tree density (trees/ha) in two-year timesteps.
This assessment was conducted to fulfill the requirements of section 712 of the Energy Independence and Security Act (EISA) of 2007 and to improve understanding of carbon and greenhouse gas (GHG) fluxes in ecosystems of the Western United States. The assessment examined carbon storage, carbon fluxes, and other GHG fluxes (methane and nitrous oxide) in all major terrestrial ecosystems (forests, grasslands/shrublands, agricultural lands, and wetlands) and aquatic ecosystems (rivers, streams, lakes, reservoirs, and coastal waters) in two time periods: baseline (generally in the first half of the 2010s) and future (projections from baseline to 2050). The assessment was based on measured and observed data collected by...
Categories: Publication;
Types: Report Citation;
Tags: Assessment,
Carbon flux,
Carbon stock,
Ecosystems,
Western United States
Wetland Carbon and Environmental Management Wetlands are vital natural assets, including their ability to take-up atmospheric carbon and restrict subsequent carbon loss to facilitate long-term storage. They can be deliberately managed to provide a natural solution to mitigate climate change, as well as to help offset direct losses of wetlands from various land-use changes and natural drivers. Wetland Carbon and Environmental Management presents a collection of wetland research studies from around the world to demonstrate how environmental management can improve carbon sequestration while enhancing wetland health and function.
Categories: Publication;
Types: Citation
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