Skip to main content
Advanced Search

Filters: Tags: Resource Management (X)

17 results (92ms)   

Filters
Date Range
Extensions
Types
Contacts
Categories
Tag Types
Tag Schemes
View Results as: JSON ATOM CSV
This paper develops a method for identifying and assessing long-term supply risks for mineral raw materials. The method is based on a combined evaluation of past and future supply and demand trends. By analysing raw material boom and bust cycles over the past 50 years, we have quantified indicators and defined benchmarks for identifying critical market situations. By applying the method, risks for supply shortage may be identified at an early stage. In addition, a numerical evaluation model has been developed for better comparison between various mineral raw materials. Compared to other assessment methods this method uses specific benchmarks for each raw material to better assess supply risks. The method is embedded...
Integrated basin management is concerned with the interactions of physical, ecological, economic, and social systems as they affect the operation, planning, and policy making processes inherent in the management of land and water resources. Systems of integrated hydrological, chemical, biological, ecological, and socioeconomic models are typically used to assess the effects of proposed management alternatives on basin resources, or to manage basin resources in real time. Water is a common thread linking many of the components among these models. The ability to adequately simulate rainfall-runoff processes and their interactions with processes related to other system components significantly affects the integrated...
thumbnail
This dataset is part of the U.S. Geological Survey (USGS) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) initiative. The degree flowlines dataset was created to indicate how many culverts each flowline passes through within the Lake Ontario Restoration Assessment (LORA) study area. The more road crossings on a flowline the more disconnected that area is from the lake and the less suitable it will be for restoration. The GLCWRA initiative identifies coastal wetland areas that have the greatest habitat restoration potential. The data model uses seven parameters to identify and rank wetland restoration areas, resulting in a composite index raster that can be used by ecological managers and planners to...
thumbnail
NPScape conservation status metrics are calculated using data from the USGS Gap Analysis Program (PAD-US), World Database on Protected Areas (WDPA), and National Marine Protected Areas Center (MPA). Metric GIS datasets are produced seamlessly for the United States (Lower 48, Alaska, Hawaiian Islands, Guam/American Samoa, Puerto Rico/US Virgin Islands), Canada, and Mexico, although both geographic coverage and resolution vary by source dataset. The methods underlying these calculations are available for download through the NPScape website: http://science.nature.nps.gov/im/monitor/npscape/methods.cfm. This record provides default metadata for metric GIS data developed and distributed by NPScape. More information...
thumbnail
This dataset is part of the U.S. Geological Survey (USGS) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) initiative. This data represents the location of dikes within the Lake Ontario Restoration Assessment (LORA) study area. The GLCWRA initiative identifies coastal wetland areas that have the greatest habitat restoration potential. The data model uses seven parameters to identify and rank wetland restoration areas, resulting in a composite index raster that can be used by ecological managers and planners to assist with the selection of wetland restoration sites. The parameters are Parameter 0: Mask, Parameter 1: Hydroperiod, Parameter 2: Wetland Soils, Parameter 3: Flowlines, Parameter 4: Conservation...
thumbnail
NPScape land cover metrics are calculated using data from the National Land Cover Database (NLCD), NOAA Coastal Change Analysis Program (CCAP), and the North American Land Change Monitoring System (NALC). Metric GIS datasets are produced seamlessly for the United States (Lower 48, Alaska, Hawaiian Islands, Guam/American Samoa, Puerto Rico/US Virgin Islands), Canada, and Mexico, although both geographic coverage and resolution vary by source dataset. The methods underlying these calculations are available for download through the NPScape website: http://science.nature.nps.gov/im/monitor/npscape/methods.cfm. This record provides default metadata for metric GIS data developed and distributed by NPScape. More information...
thumbnail
This dataset contains the physical collection information (e.g., sample location, date, gear type) and microsatellite DNA genotype of egg and larval Lake Sturgeon collected in the St. Clair and Detroit rivers in 2015 and 2016. Individuals were genotyped for 18 microsatellite loci (13 disomic and 5 polysomic). Alleles (base pair sizes) were recorded as presence absence scores (1:present, 2:absent, 0:missing data) for all previously observed alleles. Thus individual genotypes were recorded as pseudo diploid dominant phenotypes resulting in individual vectors of length n=205 for each genotyped egg or larval individual.
Categories: Data; Tags: Acipenser, Acipenser fulvescens, Acipenseridae, Anthropogenic, Anthropogenic Rock, All tags...
thumbnail
This dataset is part of the U.S. Geological Survey (USGS) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) initiative. The GLCWRA initiative uses principles of geodesign to identify coastal wetland areas that have the greatest potential for habitat restoration. The data model uses the following seven primary parameters to identify and rank wetland restoration areas. The parameters are: Parameter 0: Water Parameter 1: Hydroperiod Parameter 2: Wetland Soils Parameter 3: Flowlines Parameter 4: Conservation and Recreation Lands Parameter 5: Impervious Surfaces Parameter 6: Land Use (represents developed areas without impervious surfaces but high societal value) The ancillary data include dikes, degree...
thumbnail
The geographic information system (GIS) format spatial data set of vegetation for Grand Portage National Monument (GRPO) was created by the National Park Service (NPS) Vegetation Inventory Program (VIP). The GRPO covers an area of approximately 291.8 ha (721.1 acres). The map classification scheme used to create the vegetation data set is designed to represent local plant communities at the finest level possible using the National Vegetation Classification System. Physiognomic information was also recorded, including tree height, canopy density, and coverage patterns. The vegetation data set was developed by interpreting aerial photographs collected in 2006 and extensive field surveys. Individuals who cooperated...
thumbnail
The geographic information system (GIS) format spatial data set of vegetation for Pictured Rocks National Lakeshore (PIRO) was created by the National Park Service (NPS) Vegetation Inventory Program (VIP). The PIRO covers an area of approximately 36,046 ha (89,072 acres). The map classification scheme used to create the vegetation data set is designed to represent local vegetation types at the finest level possible using the National Vegetation Classification (NVC) Standard (Vr 2). Physiognomic information was also recorded, including height (woody vegetation), canopy density, and coverage patterns. The vegetation data set was developed by interpreting aerial photographs collected in 2005 and extensive field surveys....
thumbnail
Exotic plant survey polygon data representing infested or non-infested areas including inventory, treatment, and monitoring efforts. Polygons generated from point and line features using a buffer distance entered in the field or data was collected as a polygon for large or irregular sized patches. Data collected by field personnel using mapping grade GPS and a statewide data collection protocol. INSTRUCTIONS FOR USE: see supplemental section on how to use this GeoDatabase.
Tags: AKRO, ANIA, Alaska, Alaska Region NPS Regional Office, Alien / Noxious Plants, All tags...
thumbnail
Problem Dissolved oxygen (DO) is an important indicator of water quality that until recently has been cost-prohibitive to monitor extensively in both space and time. Continuous water-quality data, particularly in coastal environments with bidirectional tidal flow, is necessary for resource managers to understand the dynamic changes in water quality that occur tidally, daily, seasonally, and during aperiodic events. In the estuaries surrounding Long Island, such events may include wastewater treatment plant failures, harmful algal blooms, and extreme weather. The U.S. Geological Survey (USGS) has extensive experience with continuous water-quality monitoring at fixed locations along the coast that provides valuable...
thumbnail
Alaska Division of Geological & Geophysical Surveys (DGGS) has conducted 1:63,360-scale geologic mapping of the Sagavanirktok B-1 Quadrangle (640 square km´┐Żequivalent to four 7.5 minute quadrangles). This geologic map was produced by merging a bedrock geologic map and a surficial geologic map of the Eagle A-2 Quadrangle. This mapping project reinterprets micropaleontologic correlations for 17 Sagavanirktok Quadrangle wells, and reprocesses data from the one publicly-available seismic line. Surface geologic mapping, subsurface-to-surface stratigraphic age control, and seismic framework are required to reliably decipher the complex geology of this key area of the Brooks Range. Outcrops within the Sagavanirktok B-1...
thumbnail
Assessment of egg deposition is widely used to provide an index of spawning efforts for lithophilic-spawning fishes. However, little is known about the collection techniques efficacy and bias when collecting fish eggs. We conducted a literature review to assess egg collection methods and evaluate egg retention and capture on egg mats. The literature review provided a summary of different gear types used to collect fish eggs, possible bias from the gears, and egg 'abundance' reporting strategies.
thumbnail
NPScape landscape pattern metrics are calculated for particular land cover types using NPScape land cover metric GIS data. The methods underlying these calculations are available for download through the NPScape website: http://science.nature.nps.gov/im/monitor/npscape/methods.cfm. This record provides default metadata for metric GIS data developed and distributed by NPScape. More information and updates are available through the NPScape website: http://science.nature.nps.gov/im/monitor/npscape/.
thumbnail
We routinely encounter uncertainty when we make decisions – from picking a new morning coffee to choosing where to live. Even decisions that are supported by science contain some level of remaining uncertainty. In the context of conservation and wildlife management, the potential for uncertainty to influence decisions is perhaps most obvious when we think about predicting how actions (or non-actions) will have lasting impacts into the future. Our abilities to precisely predict future climatic and ecological conditions and determine the exact consequences of our actions are, and will remain, limited. Conservation practitioners and land and wildlife managers must navigate these challenges to make science-informed...


    map background search result map search result map NPS GNLCC Land cover data NPS Great Northern Landscape Pattern NPS GNLCC Conservation Status Turning Uncertainty into Useful Information for Conservation Decisions AKR Exotic Plant Management (EPMT) Geodatabase Grand Portage National Monument Vegetation Mapping Project - Spatial Vegetation Data Pictured Rocks National Lakeshore Vegetation Mapping Project - Spatial Vegetation Data Continuous and Spatially Distributed Dissolved Oxygen Monitoring in Long Island Estuaries in Support of Coastal Resource Management. Geological map of the Sagavanirktok B-1 Quadrangle, eastern North Slope, Alaska Microsatellite genotypes for Lake Sturgeon (Acipenser fulvescens) Eggs and Larvae from Constructed Reefs in the St. Clair-Detroit River System (2015-2016) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) Lake Ontario, U.S. Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) Lake Ontario, U.S.: Dikes Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) Lake Ontario, U.S.: Degree Flowlines Literature Review of Lithophilic-Spawning Fishes Egg Collection Methods Grand Portage National Monument Vegetation Mapping Project - Spatial Vegetation Data Geological map of the Sagavanirktok B-1 Quadrangle, eastern North Slope, Alaska Pictured Rocks National Lakeshore Vegetation Mapping Project - Spatial Vegetation Data Microsatellite genotypes for Lake Sturgeon (Acipenser fulvescens) Eggs and Larvae from Constructed Reefs in the St. Clair-Detroit River System (2015-2016) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) Lake Ontario, U.S.: Degree Flowlines Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) Lake Ontario, U.S. Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) Lake Ontario, U.S.: Dikes NPS GNLCC Land cover data NPS Great Northern Landscape Pattern NPS GNLCC Conservation Status AKR Exotic Plant Management (EPMT) Geodatabase Turning Uncertainty into Useful Information for Conservation Decisions Literature Review of Lithophilic-Spawning Fishes Egg Collection Methods