Filters: Tags: Biota (X)2,542 results (20ms)
This soil mapping application displays interactive national maps of soil series extents based on the land area of mapped soils. The information presented has been created from a snapshot of data extracted from the Soil Data Mart and Soil Classification File Database. Due to the update interval and certain assumptions made when assembling the data, these maps are suited for general information exploration and not intended for site-specific investigations. Questions concerning detailed local soil resources should be directed to your local Natural Resources Conservation Service.
Statewide migration barriers for Moose. The severity of the threat to the migration route and the severity of problem noted.
This map layer is a grid map of 2001 average vegetation growth for Alaska and the conterminous United States. The nominal spatial resolution is 1 kilometer and the map layer is based on 1-kilometer AVHRR data. The data were compiled by staff at the USGS Center for Earth Resources Observation and Science.
This map layer shows Omernik's Level III ecoregions, derived from a 1:7,500,000 map created by J.M. Omernik in 1987 and from refinements of Omernik's framework that were made for other projects. Ecoregions describe areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. Omernik's ecoregions are based on the premise that a hierarchy of ecological regions can be identified through the analysis of the patterns and the composition of both living and nonliving phenomena, such as geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology, that affect or reflect differences in ecosystem quality and integrity. All the characteristics are considered...
This map layer is a grid map of 1996 average vegetation growth for Alaska and the conterminous United States. The nominal spatial resolution is 1 kilometer and the map layer is based on 1-kilometer AVHRR data. The data were compiled by staff at the USGS Center for Earth Resources Observation and Science.
This dataset represents soils of Wyoming at 1:100,000- scale. The layer contains 350 separate soils descriptions across 23 Wyoming counties. The layer was compiled based on the five-factor soil forming model using digital surficial geology, bedrock geology, and elevation. This dataset will be more fully documented in 23 AES publications scheduled for completion in winter of 99/00. These publications will use the designation AES Bulletin B-1071 followed by a two letter abreviation for each county.
This theme is polygon data that depicts two types of development for the state of Wyoming. The first is existing development and the second are habitats where there is a high likelihood that development will occur in the near future. We considered development of oil, gas and coal bed methane, mining of minerals (trona, uranimum, coal, and bentonite), urban expansion. Other infrastructure activities such as roads, highways, fiberoptic lines, processing plants, pipelines, other facilities, and various combinations of development that were believed to impact sage-grouse were recorded. Information sources and assessment processes varied depending on data available and resource specialist participation for areas within...
This dataset represents the 2010 parturition areas for mule deer in Wyoming as mapped by the Wyoming Game and Fish Department. Delineated parturition areas indicate areas with seasonally high concentrations of birthing animals. Boundaries are based on systematic and opportunistic long-term observation data. Depending on location and habitat conditions, birthing often occurs over dispersed areas. Such areas are not mapped as parturition areas.
Tourist visitation spots: unique natural areas.
This map layer is a grid map of 1998 peak vegetation growth for Alaska and the conterminous United States. The nominal spatial resolution is 1 kilometer and the map layer is based on 1-kilometer AVHRR data. The data were compiled by staff at the USGS Center for Earth Resources Observation and Science.
Russell Cave National Monument Vegetation Data
The vegetation units on this map were determined through a series of image processing steps including unsupervised classification, ecological modeling and stereoscopic interpretation of aerial photographs supported by field sampling and ecological analysis. The vegetation boundaries were identified on the photographs by means of the photographic signature and collateral information on slope, hydrology, geography, and vegetation in accordance with the Standardized National Vegetation Classification System (October 1995). The mapped vegetation reflects conditions that existed during the specific year and season that the aerial photographs were taken. There is a margin of error inherent in the use of aerial photographs....
Map of Whooping Crane stopover site use intensity within the Great Plains from satellite telemetered birds, 2010-2014
Whooping cranes (Grus americana) of the Aransas-Wood Buffalo population migrate twice each year through the Great Plains in North America. Recovery activities for this endangered species include providing adequate places to stop and rest during migration, which are generally referred to as stopover sites. To assist in recovery efforts, initial estimates of stopover site use intensity are presented, which provide opportunity to identify areas across the migration range used more intensively by whooping cranes. We used location data acquired from 58 unique individuals fitted with platform transmitting terminals that collected global position system locations. Radio-tagged birds provided 2,158 stopover sites over 10...
These data identify, in general, the areas of proposed critical habitat for the El Segundo blue butterfly (Euphilotes battoides allyn).
A vegetation map of Bandelier National Monument. This map is based on natural color orthophotography acquired in 2004 with a spatial resolution of 1 meter, displayed at 1:24,000 scale. Map units were delineated using aerial photo interpretation and image analysis based on 729 field survey points collected between 2003 and 2006. Final map compiled in ArcGIS Version 9.3, January, 2010. For details see Muldavin, E., A. Kennedy, C. Jackson, T. Neville, P. Neville, K. Schulz, and M. Reid. 2010. A Vegetation Classification and Map Report: Bandelier National Monument. Natural Resource Technical Report NPS/SCPN/NRTR-2010/00X, National Park Service, Fort Collins, Colorado.
Results: MaxEnt Predicted Probability of Sahara Mustard (Brassica tournefortii) Occurrence - Current Climate
This dataset depicts the predicted probability of Sahara Mustard (Brassica tournefortii) occurrence in the Sonoran Desert Ecoregion, based on a MaxEnt model. This model was trained using occurrence points derived from multiple sources, and using prediction surfaces derived from a digital elevation model, distance to highways, precipitation, temperature, existing vegetation (LANDFIRE EVT v1.1), surficial geology, and soils (SSURGO and STATSGO). Model AUC is 0.857 (indicates fair rate of prediction accuracy relative to the training data). Due to potentially wide variability in the quality of training plots used for this prediction, and the coarse resolution of several predictors, caution should be exercised when...
NOTE: This download link includes Fish Regions, Freshwater Ecoregions, and Freshwater Resilience. Freshwater ecoregions provide a global biogeographic regionalization of the Earth's freshwater biodiversity. These units are distinguished by patterns of native fish distribution resulting from large-scale geoclimatic processes and evolutionary history. The freshwater ecoregion boundaries generally, though not always, correspond with those of watersheds. Within individual ecoregions there will be turnover of species, such as when moving up or down a river system, but taken as a whole an ecoregion will typically have a distinct evolutionary history and/or suite of ecological processes (Abell et al. 2008). The WWF defined...