Skip to main content
Advanced Search

Filters: Tags: Colorado Plateau (X) > partyWithName: U.S. Geological Survey - ScienceBase (X) > Types: Map Service (X)

14 results (134ms)   

View Results as: JSON ATOM CSV
thumbnail
Five principal components are used to represent the climate variation in an original set of 12 composite climate variables reflecting complex precipitation and temperature gradients. The dataset provides coverage for future climate (defined as the 2040-2070 normal period) under the RCP4.5 emission scenarios. Climate variables were chosen based on their known influence on local adaptation in plants, and include: mean annual temperature, summer maximum temperature, winter minimum temperature, annual temperature range, temperature seasonality (coefficient of variation in monthly average temperatures), mean annual precipitation, winter precipitation, summer precipitation, proportion of summer precipitation, precipitation...
thumbnail
Five principal components are used to represent the climate variation in an original set of 12 composite climate variables reflecting complex precipitation and temperature gradients. The dataset provides coverage for future climate (defined as the 2040-2070 normal period) under the RCP8.5 emission scenarios. Climate variables were chosen based on their known influence on local adaptation in plants, and include: mean annual temperature, summer maximum temperature, winter minimum temperature, annual temperature range, temperature seasonality (coefficient of variation in monthly average temperatures), mean annual precipitation, winter precipitation, summer precipitation, proportion of summer precipitation, precipitation...
thumbnail
This dataset consists of 102 magnetotelluric (MT) stations collected in 2012-2014 in the Rio Grande Rift and southern Rocky Mountains. The U.S. Geological Survey acquired these data to improve regional conductivity models of the western United States. This work is in support of studies of the effect of lithospheric modification on electrical resistivity structure and tectonic evolution of the western United States.
Categories: Data; Types: Citation, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Carson National Forest, Colfax County, Colorado, Colorado Plateau, Dona Ana County, All tags...
thumbnail
This dataset contains information regarding the acreages of land currently (as of 2004) enrolled in the Conservation Reserve Program (CRP) distributed by county and the year the CRP contract was initiated (1987-2004, excluding 1994 and 1995). Additionally, it contains total acreages of land enrolled in the CRP distributed by county and the contract year (1987-2003). USDA Farm Service Agency's (FSA) Conservation Reserve Program (CRP) is a voluntary program available to agricultural producers to help them safeguard environmentally sensitive land. Producers enrolled in CRP plant long-term, resource-conserving covers to improve the quality of water, control soil erosion, and enhance wildlife habitat. In return, FSA...
Categories: Data, pre-SM502.8; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Arizona, CRP, California, Colorado, Colorado Plateau, All tags...
thumbnail
Five principal components are used to represent the climate variation in an original set of 12 composite climate variables reflecting complex precipitation and temperature gradients. The dataset provides coverage for future climate (defined as the 2040-2070 normal period) under the RCP8.5 emission scenarios. Climate variables were chosen based on their known influence on local adaptation in plants, and include: mean annual temperature, summer maximum temperature, winter minimum temperature, annual temperature range, temperature seasonality (coefficient of variation in monthly average temperatures), mean annual precipitation, winter precipitation, summer precipitation, proportion of summer precipitation, precipitation...
thumbnail
Five principal components are used to represent the climate variation in an original set of 12 composite climate variables reflecting complex precipitation and temperature gradients. The dataset provides coverage for current climate (defined as the 1980-2010 normal period). Climate variables were chosen based on their known influence on local adaptation in plants, and include: mean annual temperature, summer maximum temperature, winter minimum temperature, annual temperature range, temperature seasonality (coefficient of variation in monthly average temperatures), mean annual precipitation, winter precipitation, summer precipitation, proportion of summer precipitation, precipitation seasonality (coefficient of variation...
thumbnail
These data were compiled to provide seed transfer and native plant materials development guidance to managers and practitioners across the Colorado Plateau and in adjacent regions. This data release contains empirical seed transfer zones derived from molecular genetic data for Cleome serrulata (syn. Peritoma serrulata), Heliomeris multiflora, and Astragalus lonchocarpus. These species show distinct population structure (i.e., genetic differentiation) across their ranges; as such, seed transfer zones reflect both patterns of genetic differentiation and information on each species' unique adaptations to climatic gradients. These shapefile data may support successful restoration outcomes if, for example, seed transfer...
Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Arizona, Astragalus lonchocarpus, Botany, Cleome serrulata (syn. Peritoma serrulata), Colorado, All tags...
thumbnail
Five principal components are used to represent the climate variation in an original set of 12 composite climate variables reflecting complex precipitation and temperature gradients. The dataset provides coverage for future climate (defined as the 2040-2070 normal period) under the RCP4.5 emission scenarios. Climate variables were chosen based on their known influence on local adaptation in plants, and include: mean annual temperature, summer maximum temperature, winter minimum temperature, annual temperature range, temperature seasonality (coefficient of variation in monthly average temperatures), mean annual precipitation, winter precipitation, summer precipitation, proportion of summer precipitation, precipitation...
thumbnail
Five principal components are used to represent the climate variation in an original set of 12 composite climate variables reflecting complex precipitation and temperature gradients. The dataset provides coverage for future climate (defined as the 2010-2040 normal period) under the RCP4.5 emission scenario. Climate variables were chosen based on their known influence on local adaptation in plants, and include: mean annual temperature, summer maximum temperature, winter minimum temperature, annual temperature range, temperature seasonality (coefficient of variation in monthly average temperatures), mean annual precipitation, winter precipitation, summer precipitation, proportion of summer precipitation, precipitation...
thumbnail
Five principal components are used to represent the climate variation in an original set of 12 composite climate variables reflecting complex precipitation and temperature gradients. The dataset provides coverage for current climate (defined as the 1980-2010 normal period). Climate variables were chosen based on their known influence on local adaptation in plants, and include: mean annual temperature, summer maximum temperature, winter minimum temperature, annual temperature range, temperature seasonality (coefficient of variation in monthly average temperatures), mean annual precipitation, winter precipitation, summer precipitation, proportion of summer precipitation, precipitation seasonality (coefficient of variation...
thumbnail
Five principal components are used to represent the climate variation in an original set of 12 composite climate variables reflecting complex precipitation and temperature gradients. The dataset provides coverage for future climate (defined as the 2010-2040 normal period) under the RCP8.5 emission scenario. Climate variables were chosen based on their known influence on local adaptation in plants, and include: mean annual temperature, summer maximum temperature, winter minimum temperature, annual temperature range, temperature seasonality (coefficient of variation in monthly average temperatures), mean annual precipitation, winter precipitation, summer precipitation, proportion of summer precipitation, precipitation...
thumbnail
This dataset provides lineaments remotely observed and interpreted on 1-m lidar data in northern New Mexico. Several types of lineaments were mapped, including scarps, vegetation contrasts, vegetation lineaments, tonal contrasts, tonal lineaments, and topographic lineaments. Some of these lineaments are interpreted to be Quaternary active faults whereas others are interpreted as older bedrock faults.


    map background search result map search result map Conservation Reserve Program Acreage by County Regional scale magnetotelluric data from the Rio Grande Rift and southern Rocky Mountains Principal components of climate variation in the Desert Southwest for the time period 1980-2010 Principal components of climate variation in the Desert Southwest for the future time period 2040-2070 (RCP 4.5) Principal components of climate variation in the Desert Southwest for the future time period 2040-2070 (RCP 8.5) Principal components of climate variation in the Desert Southwest for the future time period 2010-2040 (RCP 8.5) Principal components of climate variation in the Desert Southwest for the future time period 2040-2070 (RCP 4.5) Principal components of climate variation in the Desert Southwest for the time period 1980-2010 Principal components of climate variation in the Desert Southwest for the future time period 2010-2040 (RCP 4.5) Principal components of climate variation in the Desert Southwest for the future time period 2040-2070 (RCP 8.5) Remotely mapped lineaments in north-central New Mexico Neotectonic point observations in the Tusas Mountains, north-central New Mexico Simplified fault traces for seismic hazard, north-central New Mexico Genetically informed seed transfer zones for Astragalus lonchocarpus, Cleome serrulata, and Heliomeris multiflora across the Colorado Plateau and adjacent regions Neotectonic point observations in the Tusas Mountains, north-central New Mexico Remotely mapped lineaments in north-central New Mexico Simplified fault traces for seismic hazard, north-central New Mexico Regional scale magnetotelluric data from the Rio Grande Rift and southern Rocky Mountains Genetically informed seed transfer zones for Astragalus lonchocarpus, Cleome serrulata, and Heliomeris multiflora across the Colorado Plateau and adjacent regions Principal components of climate variation in the Desert Southwest for the future time period 2040-2070 (RCP 4.5) Principal components of climate variation in the Desert Southwest for the future time period 2040-2070 (RCP 4.5) Principal components of climate variation in the Desert Southwest for the future time period 2040-2070 (RCP 8.5) Principal components of climate variation in the Desert Southwest for the future time period 2040-2070 (RCP 8.5) Principal components of climate variation in the Desert Southwest for the time period 1980-2010 Principal components of climate variation in the Desert Southwest for the time period 1980-2010 Principal components of climate variation in the Desert Southwest for the future time period 2010-2040 (RCP 8.5) Principal components of climate variation in the Desert Southwest for the future time period 2010-2040 (RCP 4.5) Conservation Reserve Program Acreage by County