Filters: Tags: San Luis Valley (X)
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This dataset presents current and future change agent models and combined future potential for change (PFC) within the Western Governors' Crucial Habitat Assessment Tool (CHAT) "crucial habitats", where cucial habitat rank = 1 or 2.This dataset presents current and future change agent models and combined future potential for change (PFC). Potential for change (PFC) was determined by calculating the maximum potential for change among all change agents within each 1 km reporting unit. Current and future landscape intactness (LCM_C_FZ and LCM_N_FZ) are based on measures of landscape development and invasive species. Current vegetation departure (VDEP) is based on LANDFIRE vegetation departure and characterizes the...
Types: Downloadable;
Tags: BLM,
Bureau of Land Management,
CHAT,
Crucial Habitat Assessment Tool,
DOI,
These data identify, in general, the areas of Proposed critical habitat for Coccyzus americanus (yellow billed cuckoo).
This dataset presents current and future change agent models and combined future potential for change (PFC) within grassland fauna assemblage potentially suitable habitat.The grassland fauna assemblage potentially suitable habitat extent was determined by combining the SWReGAP Vertebrate Habitat Distribution Models for the burrowing owl, mountain plover, Gunnison's prairie dog, and swift fox and clipping to the study area for the SLV-TP Landscape Assessment. This dataset presents current and future change agent models and combined future potential for change (PFC). Potential for change (PFC) was determined by calculating the maximum potential for change among all change agents within each 1 km reporting unit. Current...
This data was created by the CPW GIS Unit. Property boundaries are created by dissolving CDOWParcels by the property name, and property type and appending State Park boundaries designated as having public access. All parcel data correspond to legal transactions made by the CPW Real Estate Unit. The boundaries of the CDOW Parcels were digitized using metes and bounds, BLM's GCDB dataset, the PLSS dataset (where the GCDB dataset was unavailable) and using existing digital data on the boundaries.
Mapping of terrestrial vertebrates focuses on linking a spatial representation of species-habitat matrices to geographic distribution. Each model is a combination of distribution from regional and state references in association with contiguous appropriate habitats. Ranges for all species were based on 8-digit HUCs. Habitats were based on a raster SWReGAP 1 acre MMU land cover data set, with hydrology habitats added in from USGS NHD dataset directly or through modeling. Habitat association information was obtained from various state, regional, and national references with updates from scientific literature. This portion of the Southwest Regional Gap Analysis Project produced predicted habitat distribution maps for...
Land trusts in New Mexico. Revceived from BLM (Doug Simon).
To support the BLM's San Luis Valley-Taos Plateau Landscape Assessment. This dataset presents the 1km reporting units (vector) used in the assessment.
This dataset presents current and future change agent models and combined future potential for change (PFC) within the montane and subalpine conifer forest Conservation Element.The montane and subalpine conifer forest extent was determined by querying the LANDFIRE existing vegetation dataset for montane and subalpine confer forest and clipping the data to the ecoregion boundary.This dataset presents current and future change agent models and combined future potential for change (PFC). Potential for change (PFC) was determined by calculating the maximum potential for change among all change agents within each 1 km reporting unit. Current and future landscape intactness (LCM_C_FZ and LCM_N_FZ) are based on measures...
This dataset presents current and future change agent models and combined future potential for change (PFC) within native fish assemblage current distribution and potentially suitable habitat.The native fish assemblage current distribution and potentially suitable habitat extent was determined by combining the distribution of Rio Grande cutthroat trout, Rio Grande chub, and Rio Grande sucker (provided by BLM and CDOW) and clipping to the study area for the SLV-TP Landscape Assessment. This dataset presents current and future change agent models and combined future potential for change (PFC). Potential for change (PFC) was determined by calculating the maximum potential for change among all change agents within each...
One important model developed for the Landscape Assessment to assist in the evaluation of Conservation Element status and trends is the Landscape Intactness Model (LIM). This model builds on a growing body of existing composite scoring methods that aim to characterize the relative ecological condition of landscapes. This model uses indicators of human modification to provide a measurable way to characterize intactness. Indicators and their scores were selected for the Landscape Intactness Model based upon knowledge of their amount and distribution in the study area and understood level of impact to natural systems. The Landscape Intactness Model consists of a value ranging between -1 and 1. Values close to 1.0 imply...
Types: Downloadable;
Tags: BLM,
Bureau of Land Management,
DOI,
Disturbance,
Ecological Landscape Intactness Model,
This data was created by the CPW GIS Unit. Property boundaries are created by dissolving CDOWParcels by the property name, and property type and appending State Park boundaries designated as having public access. All parcel data correspond to legal transactions made by the CPW Real Estate Unit. The boundaries of the CDOW Parcels were digitized using metes and bounds, BLM's GCDB dataset, the PLSS dataset (where the GCDB dataset was unavailable) and using existing digital data on the boundaries.
This data was created by the Wildlife GIS group. Property boundaries are created by dissolving CDOWParcels by the property name, property type and public access designation. All parcel data correspond to legal transactions made by the CDOW Real Estate Unit. The boundaries of the CDOW Parcels were digitized using meets and bounds, BLM's GCDB dataset, the plss dataset (where the GCDB dataset was unavailable) and using existing digital data on the boundaries.
This dataset presents current and future change agent models and combined future potential for change (PFC) within the basin grassland and shrubland system Conservation Element.The basin grassland and shrubland system extent was determined by querying the LANDFIRE existing vegetation dataset for basin grassland and shrubland and clipping the data to the ecoregion boundary.This dataset presents current and future change agent models and combined future potential for climate change (PFC). Potential for change (PFC) was determined by calculating the maximum potential for change among all change agents within each 1 km reporting unit. Current and future landscape intactness (LCM_C_FZ and LCM_N_FZ) are based on measures...
This dataset was created using the USDA Natural Resources Conservation Service’s (NRCS’s) SSURGO soil survey data and supplemented with STATSGO data in areas where SSURGO was not available. The dataset uses, in part, the soil data viewer extension for ArcMap to query for depth to any soil restrictive layer. Revised SSURGO map units provided by NRCS were used to update the map units near the Colorado-New Mexico border. The dataset is limited by availability of more detailed soils information from SSURGO, because this ecoregion contains areas not yet mapped by SSURGO.
To support the BLM's San Luis Valley-Taos Plateau Landscape Assessment. This dataset presents current and future change agent models and combined future potential for change (PFC) within USGS HUC12 boundaries.This dataset presents current and future change agent models and combined future potential for climate change (PFC). Potential for change (PFC) was determined by calculating the maximum potential for change among all change agents within each 1 km reporting unit. Current and future landscape intactness (LCM_C_FZ and LCM_N_FZ) are based on measures of landscape development and invasive species. Current vegetation departure (VDEP) is based on LANDFIRE vegetation departure and characterizes the departure of current...
U.S. National Atlas Cities represents cities and towns in the United States, Puerto Rico, and U.S. Virgin Islands.
This feature class contains BLM Grazing Allotments for the States of Colorado and New Mexico.
To support the BLM's San Luis Valley-Taos Plateau Landscape Assessment. This dataset presents current and future change agent models and combined future potential for change (PFC) within big game migration corridors.The big game migration corridors extent was determined from CDOW data. Species include bighorn sheep, elk, mule deer, and pronghorn. Migration corridors were clipped to the study area boundary and merged and dissolved across species.This dataset presents current and future change agent models and combined future potential for change (PFC). Potential for change (PFC) was determined by calculating the maximum potential for change among all change agents within each 1 km reporting unit. Current and future...
The Visual Resource Management Classes data were provided by BLM.This dataset presents current and future change agent models and combined future potential for climate change (PFC) within Visual Resource Management Classes. Potential for change (PFC) was determined by calculating the maximum potential for change among all change agents within each 1 km reporting unit. Current and future landscape intactness (LCM_C_FZ and LCM_N_FZ) are based on measures of landscape development and invasive species. Current vegetation departure (VDEP) is based on LANDFIRE vegetation departure and characterizes the departure of current vegetation from historic reference vegetation conditions. Current and future human development (DEV_C_FZ...
This layer combines the USGS' "US Aquifer' data with the Colorado Decision Support Service's "Bedrock Aquifer" data. The CDSS' version of the San Luis Valley aquifer in South Central Colorado provides a greater level of spatial detail than the larger USGS aquifer dataset which includes the area of interest within Northern New Mexico/Taos Plateau. Therefore the Colorado portion of the San Luis Valley aquifer was removed from the USGS US Aquifer dateset and replaced and edge-matched with the polygon represention of the aquifer provided by CDSS Bedrock Aquifer polygon.
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