Filters: Tags: biomass (X)
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This global gridded dataset depicts vegetation biomass carbon stocks at the native processing resolution of 0.0089 decimal degrees (~1km by ~1km). We used the mean aggregate ArcInfo command to resample this dataset to 5 and 10 minute spatial resolution (please note that the 10 minute data includes the extent of Antarctica, while the others do not). The 1km data is expressed in 0.01 tons of biomass carbon per hectare, while the 5 and 10 minute data are expressed in tons of biomass carbon per hectare; soil carbon stocks are not included. Each map is geo-referenced to the WGS1984 coordinate system, and in geographic projection. The vegetation biomass carbon database was created in two main steps: 1) estimate carbon...
Tags: biomass,
carbon stocks
Average vegetation carbon is calculated for 30 year periods for the historical period and for the future. Percent change is calculated as ((future – historical/historical) x 100). MC1 is a dynamic vegetation model for estimating the distribution of vegetation and associated ecosystem fluxes of carbon, nutrients, and water. It was created to assess the potential impacts of global climate change on ecosystem structure and function at a wide range of spatial scales from landscape to global. The model incorporates transient dynamics to make predictions about the patterns of ecological change. MC1 was created by combining physiologically based biogeographic rules defined in the MAPSS model with a modified version of...
A spatially explicit dataset of aboveground live forest biomass was made from ground measured inventory plots for the conterminous U.S., Alaska and Puerto Rico. The plot data are from the USDA Forest Service Forest Inventory and Analysis (FIA) program. To scale these plot data to maps, models were developed relating field-measured response variables to plot attributes serving as the predictor variables. The plot attributes came from intersecting plot coordinates with geospatial datasets. Consequently, these models serve as mapping models. The geospatial predictor variables included Moderate Resolution Imaging Spectrometer (MODIS)-derived image composites and percent tree cover; land cover proportions and other data...
Observations from the moderate resolution imaging spectroradiometer (MODIS) were used in combination with a large data set of Field measurements to map woody above-ground biomass (AGB) across tropical Africa. We generated a best-quality cloud-free mosaic of MODIS satellite reflectance observations for the period 2000-2003 and used a regression tree model to predict AGB at 1 km resolution. Results based on a cross-validation approach show that the model explained 82% of the variance in AGB, with a root mean square error of 50.5 Mg ha-1 for a range of biomass between 0 and 454 Mg ha-1 . Analysis of lidar metrics from the Geoscience Laser Altimetry System (GLAS), which are sensitive to vegetation structure, indicate...
This product is one of a set of mapped model simulation results generated for a project called “Global Climate Change and California: Potential Implications for Ecosystems, Health, and the Economy”. The project was conducted by the Electrical Power Research Institute (EPRI) and funded by the California Energy Commission’s Public Interest Energy Research (PIER) Program. The project was the most detailed study ever undertaken on the potential effect of climate change on California. The work examined a broad array of potentially affected sectors as well as the interactions between climate change and increased population, economic growth, and technological change. It considered a wide range of climate change scenarios,...
In the last decade, climate change has been one of the major concerns with regard to the health of the earth's ecosystem. The problem of a changing climate is related to not only climate, energy consumption and emissions of greenhouse gases, but also effects of such a change on the earth's ecosystems, resources and human settlements, as well as the need to reduce or avoid these effects. In this study, an inexact-fuzzy multiobjective programming model was proposed for adaptation planning of land resources management in the Mackenzie Basin under changing climate. This integrated adaptation planning enables the inclusion of systems interaction and feedback mechanisms and can therefore yield insights that scattered...
The Swedish programme for geological disposal of spent nuclear fuel is approaching major milestones in the form of permit applications for an encapsulation plant and a deep geologic repository. This paper presents an overview of the bedrock and surface modelling work that comprises a major part of the on-going site characterization in Sweden and that results in syntheses of the sites, called site descriptions. The site description incorporates descriptive models of the site and its regional setting, including the current state of the geosphere and the biosphere as well as natural processes affecting long-term evolution. The site description is intended to serve the needs of both repository engineering with respect...
The combined sugar and ethanol production process from sugar cane is a paradigmatic application for energy integration strategies because of the high number of hot and cold streams involved, the external hot utility requirement at two temperature levels for juice evaporation and crystallization, and the electricity demand for juice extraction by milling. These conditions make it convenient to combine the sugar-cane process with a CHP system fuelled by bagasse, the main by-product from juice extraction. The strategies, tools and expertise on energy integration developed separately by the research teams authoring this paper are applied here jointly to optimize the synthesis and the design parameters of the process...
Categories: Publication;
Types: Citation;
Tags: Biomass,
Ethanol,
Pinch analysis,
Process integration,
Sugar-cane
A principal challenge in ecology is to integrate physiological function (e.g. photosynthesis) across a collection of individuals (e.g. plants of different species) to understand the functioning of the entire ensemble (e.g. primary productivity). The control that organism size exerts over physiological and ecological function suggests that allometry could be a powerful tool for scaling ecological processes across levels of organization. Here we use individual plant allometries to predict how nutrient content and productivity scale with total plant biomass (phytomass) in whole plant communities. As predicted by our model, net primary productivity as well as whole community nitrogen and phosphorus content all scale...
Categories: Publication;
Types: Citation,
Journal Citation;
Tags: Community size distribution,
Ecology Letters,
biomass,
ecological stoichiometry,
functional diversity,
Southwestern North America faces an imminent transition to a warmer, more arid climate, and it is critical to understand how these changes will affect the carbon balance of southwest ecosystems. In order to test our hypothesis that differential responses of production and respiration to temperature and moisture shape the carbon balance across a range of spatio-temporal scales, we quantified net ecosystem exchange (NEE) of CO2 and carbon storage across the New Mexico Elevational Gradient, which consists of six eddy-covariance sites representing biomes ranging from desert to subalpine conifer forest. Within sites, hotter and drier conditions were associated with an increasing advantage of respiration relative to production...
Categories: Publication;
Types: Citation,
Journal Citation;
Tags: Global Change Biology,
biomass,
climate change,
eddy-covariance,
elevational gradient,
Electric Power Research Institute (EPRI) and the US Department of Energy (DOE) have been funding a number of case studies under the initiative entitled “Economic Development through Biomass Systems Integration”, with the objective of investigate the feasibility of integrated biomass energy systems, utilizing a dedicated feedstock supply system (DFSS) for energy production. This paper deals with the full fuel cycle for four of these case studies. which have been examined with regard to the emissions of carbon dioxide, COZ. Although the conversion of biomass to electricity in itself does not emit more CO1 than is captured by the biomass through photosynthesis, there will be some CO1 emissions from the DFSS. External...
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,
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...
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,
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.
This dataset consists of the average residual errors for the rulesets developed to predict biomass: http://app.databasin.org/app/pages/datasetPage.jsp?id=b0817400a441487baf1409580acc6620 The dataset was developed as a collaborative effort between the USFS Forest Inventory and Analysis Program and the USFS Remote Sensing Applications Center.
This dataset consists of the average residual errors for the rulesets developed to predict biomass: http://app.databasin.org/app/pages/datasetPage.jsp?id=e44f9d6470de4df7a24cbc52ff665b47 The dataset was developed as a collaborative effort between the USFS Forest Inventory and Analysis Program and the USFS Remote Sensing Applications Center.
Observations from the moderate resolution imaging spectroradiometer (MODIS) were used in combination with a large data set of Field measurements to map woody above-ground biomass (AGB) across tropical Africa. We generated a best-quality cloud-free mosaic of MODIS satellite reflectance observations for the period 2000-2003 and used a regression tree model to predict AGB at 1 km resolution. Results based on a cross-validation approach show that the model explained 82% of the variance in AGB, with a root mean square error of 50.5 Mg ha-1 for a range of biomass between 0 and 454 Mg ha-1 . Analysis of lidar metrics from the Geoscience Laser Altimetry System (GLAS), which are sensitive to vegetation structure, indicate...
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