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The Coordinating Institution for the Species and Specimens Thematic Network is a Consortium leads by "Instituto Nacional de Biodiversidad, INBio of Costa Rica" . The members of the consortrium are: Instituto Nacional de Biodiversidad, INBio (Costa Rica) Instituto de Investigación de Recursos Biológicos Alexander von Humboldt (Colombia) (Colombia) Museo Argentino de Ciencias Naturales (Argentina) Red de Herbarios de Centroamérica y el Caribe Natureserve (USA) The goal is to implement an electronic and institutional network dedicated to regional specimen information. Some of the specimen data of any given country resides in its own museums and herbariums, although a significant part of the data resides in museums...
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Our objective was to develop a species-distribution model using habitat associations that represent probability of suitable habitat for the species historical range and the range under climate change scenarios including a hot/dry prediction (MIROC3.2) and a cool/wet prediction (ECHAM5) and 1-m and 2-m sea level rise scenarios; urban growth was also inlcuded. Future model predictions were based on extrapolated data for two time steps in the 21st century: mid (2046-2064) and late (2081-2100). Species distributions were modeled with Maxent (Maximum Entropy presence-only algorithm); climate change scenarios were based on precipitation and temperature changes as applied to stream conditions (e.g., flow) modeled with...
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The Louisiana State Legislature created Coastal Wetlands Planning, Protection, and Restoration Act (CWPPRA) in order to conserve, restore, create and enhance Louisiana's coastal wetlands. The wetland restoration plans developed persuant to these acts specifically require an evaluation of the effectiveness of each coastal wetlands restoration project in achieving long-term solutions to arresting coastal wetlands loss. This data set includes mosaicked aerial photographs for the Channel Armor Gap Crevasse (MR-06) project for 2016. This data set is used as a basemap land/water classification. It also serves as a visual tool for project managers to help them identify any obvious problems or land loss within their project...
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The LANDFIRE existing vegetation layers describe the following elements of existing vegetation for each LANDFIRE mapping zone: existing vegetation type, existing vegetation canopy cover, and existing vegetation height. Vegetation is mapped using predictive landscape models based on extensive field reference data, satellite imagery, biophysical gradient layers, and classification and regression trees.DATA SUMMARY: The existing vegetation type (EVT) data layer represents the current distribution of the terrestrial ecological systems classification developed by NatureServe for the western Hemisphere (http://www.natureserve.org/publications/usEcologicalsystems.jsp). A terrestrial ecological system is defined as a group...
What are current conditions for important park natural resources? What are the critical data and knowledge gaps? What are some of the factors that are influencing park resource conditions? Natural Resource Condition Assessments (NRCAs) evaluate and report on the above for a subset of important natural resources in national park units (hereafter, parks). Focal study resources and indicators are selected on a park-by-park basis, guided by use of structured resource assessment and reporting frameworks. Considerations include park resource setting and enabling legislation (what are this park's most important natural resources?) and presently available data and expertise (what can be evaluated at this time?). In addition...
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This file represents the final version of an assessment of the extent, condition, and distribution of grassland types in Arizona as indicated by expert interviews and field verification. Coverage includes the state of Arizona, Southwestern portions of the state of New Mexico, and the Northern portion of Sonora, Mexico.
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The Desert Renewable Energy Conservation Plan (DRECP), a major component of California's renewable energy planning efforts, will help provide effective protection and conservation of desert ecosystems while allowing for the appropriate development of renewable energy projects. The DRECP is focused on the desert regions and adjacent lands of seven California counties - Imperial, Inyo, Kern, Los Angeles, Riverside, San Bernardino, and San Diego. It is being prepared through an unprecedented collaborative effort between the California Energy Commission, California Department of Fish and Wildlife, the U.S. Bureau of Land Management, and the U.S. Fish and Wildlife Service also known as the Renewable Energy Action Team....
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ARS scientists publish results of their research projects in many formats. Listed below are the publications from research projects conducted at this location. Clicking on a publication title will take you to more information on the publication. Clicking on the reprint icon will take you to the publication reprint.
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Welcome to the Wind and Wildlife Landscape Assessment Tool (LAT), a collaboration organized by the American Wind Wildlife Institute (AWWI) and The Nature Conservancy (TNC). The LAT is designed as a landscape-level planning tool to identify sensitive wildlife habitat and areas that are likely to have low wildlife risk where wind energy development could be prioritized. Although the siting of individual wind energy projects will require on-the-ground surveys to verify data shown here, our hope is that this tool will provide stakeholders with information that facilitates the siting of wind energy in areas with minimal impacts to wildlife, as well as the development of conservation plans, monitoring plans and mitigation...
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MC1 is a widely used dynamic global vegetation model (DGVM) that has been used to simulate potential vegetation shifts in California and Alaska, all of North America, and over the entire globe under various climate change scenarios. However, past simulations were run at a scale that is too coarse (e.g., 10km x 10km for the California simulations) for use by local resource managers, such as those in Yosemite National Park ( see Data Basin feature on Yosemite results ). More recently, the model has been implemented at a finer resolution (800m x 800m) of greater utility to National Park staff. MC1 is a model that simulates vegetation types, ecosystem fluxes of carbon, nitrogen, and water, as well as wildfire occurrence...
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El Espacio Digital Geográfico (ESDIG) de la SEMARNAT, muestra en mapas información sobre las características ambientales y sociales del país en temas como vegetación, uso del suelo, cuerpos de agua, suelos, clima, población, entre otros, así como de los resultados de programas ambientales y sociales dedicados al aprovechamiento, conservación y recuperación de los ecosistemas naturales de México. Los mapas desplegados son extraídos de la base de datos geográfica del SNIARN. La información contenida en ésta base ha sido generada por diferentes áreas de la Semarnat, sus órganos desconcentrados y descentralizados, así como también por el INEGI y diversas dependencias del Gobierno Federal.
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The Pima County Information Technology Department is pleased to introduce PimaMaps, Pima County's next generation web mapping system that will eventually replace the current MapGuide system. The Main MapGuide Map, will remain available for a substantial amount of time while PimaMaps is fully implemented. While MapGuide has been a very reliable web mapping system for many years, it is no longer supported by Autodesk. PimaMaps is based on new technology, provides a more robust and modern interface comparable to Google and Bing, and offers a richer set of functionality beyond what is available with MapGuide. This version of PimaMaps has the following functionality and enhancements that are not available with MapGuide:...
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Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated...
Categories: Data; Types: Downloadable, GeoTIFF, Map Service, OGC WFS Layer, OGC WMS Layer, Raster, Shapefile; Tags: Atlantic Ocean, Barrier Island, Bayesian Network, CMHRP, Cape Cod, All tags...
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Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated...
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Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated...
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Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated...
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Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated...
Categories: Data; Types: Downloadable, GeoTIFF, Map Service, OGC WFS Layer, OGC WMS Layer, Raster, Shapefile; Tags: Atlantic Ocean, Barrier Island, Bayesian Network, CMHRP, Coastal Erosion, All tags...
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Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated...
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Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated...


map background search result map search result map LANDFIRE - Existing vegetation type for the Oregon Portion of the North Pacific LCC, USA (version 1.1.0) Desert Renewable Energy Conservation Plan Wind and Wildlife Assessment Tool Extent and Condition of Grasslands in Arizona, Northern Mexico, and Southwestern New Mexico PimaMaps Natural Resource Condition Assessments Southwest Watershed Research Publications MC1 Dynamic Global Vegetation Model Espacio Digital Geográfico (ESDIG) IABIN -Species and Specimens Thematic Network Parking Areas, Tule Lake NWR Channel Armor Gap Crevasse (MR-06): 2016 Land-Water Classification apalachicola_Floater.mxd points, transects, beach width: Barrier island geomorphology and shorebird habitat metrics at 50-m alongshore transects and 5-m cross-shore points: Monomoy Island, MA, 2013-2014 Development: Development delineation: Parker River, MA, 2014 DCpts, DTpts, SLpts: Dune crest, dune toe, and mean high water shoreline positions: Cape Lookout, NC, 2014 Development: Development delineation: Cape Lookout, NC, 2014 points, transects, beach width: Barrier island geomorphology and shorebird habitat metrics at 50-m alongshore transects and 5-m cross-shore points: Rhode Island National Wildlife Refuge, RI, 2014 SupClas, GeoSet, SubType, VegDen, VegType: Categorical landcover rasters of landcover, geomorphic setting, substrate type, vegetation density, and vegetation type: Metompkin Island, VA, 2014 DisMOSH, Cost, MOSH_Shoreline: Distance to foraging areas for piping plovers including foraging shoreline, cost mask, and least-cost path distance: Myrtle Island, VA, 2014 Channel Armor Gap Crevasse (MR-06): 2016 Land-Water Classification DisMOSH, Cost, MOSH_Shoreline: Distance to foraging areas for piping plovers including foraging shoreline, cost mask, and least-cost path distance: Myrtle Island, VA, 2014 Development: Development delineation: Cape Lookout, NC, 2014 SupClas, GeoSet, SubType, VegDen, VegType: Categorical landcover rasters of landcover, geomorphic setting, substrate type, vegetation density, and vegetation type: Metompkin Island, VA, 2014 Development: Development delineation: Parker River, MA, 2014 points, transects, beach width: Barrier island geomorphology and shorebird habitat metrics at 50-m alongshore transects and 5-m cross-shore points: Monomoy Island, MA, 2013-2014 points, transects, beach width: Barrier island geomorphology and shorebird habitat metrics at 50-m alongshore transects and 5-m cross-shore points: Rhode Island National Wildlife Refuge, RI, 2014 DCpts, DTpts, SLpts: Dune crest, dune toe, and mean high water shoreline positions: Cape Lookout, NC, 2014 PimaMaps apalachicola_Floater.mxd Desert Renewable Energy Conservation Plan Extent and Condition of Grasslands in Arizona, Northern Mexico, and Southwestern New Mexico LANDFIRE - Existing vegetation type for the Oregon Portion of the North Pacific LCC, USA (version 1.1.0) Parking Areas, Tule Lake NWR MC1 Dynamic Global Vegetation Model Espacio Digital Geográfico (ESDIG) IABIN -Species and Specimens Thematic Network Wind and Wildlife Assessment Tool Southwest Watershed Research Publications Natural Resource Condition Assessments