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Land-use Conditions

Dates

Publication Date
Time Period
2018

Citation

Manier, D.J, and O'Donnell, M.S., 2018, Compilation and Assessment of Resource Values and Hazards to Inform Transportation and Associated Land-use Planning: U.S. Geological Survey data release, https://doi.org/10.5066/F7MW2F8W.

Summary

These data were generated for a cooperative project created by an agreement between the Federal Lands and Highways, Central Federal Lands Division (FLH-CFL) and the USGS Fort Collins Science Center (Colorado; https://www.fort.usgs.gov/) to facilitate development of spatially explicit natural resources and socioeconomic information for utilization during comprehensive transportation planning efforts. Federal Lands Highways (FLH) is the federal agency that helps guide and support transportation planning at national, regional, and state levels, including providing funding, information, and tools to state transportation planners. FLH is currently undertaking a series of pilot studies aimed at improving the availability, utility, and application [...]

Contacts

Point of Contact :
Southwest Region
Originator :
Daniel J Manier, Michael O'Donnell
Metadata Contact :
Michael O'Donnell
Publisher :
U.S. Geological Survey
Distributor :
U.S. Geological Survey - ScienceBase

Attached Files

Click on title to download individual files attached to this item.

LC1_LC3_ImpactLvl_ProtectRare.tif 22.64 MB image/geotiff
LC1_NoiseLev-Use_Clss.tif 16.97 MB image/geotiff
LC1_NoiseLev-Use_Clss.tif.vat.dbf 398 Bytes application/unknown
LC2_ConstructBasement.tfw 94 Bytes text/plain
LC2_ConstructBasement.tif 484.11 MB image/geotiff
LC2_ConstructErosion.tfw 94 Bytes text/plain
LC2_ConstructErosion.tif 514.29 MB image/geotiff
LC2_ConstructRoad.tfw 94 Bytes text/plain
LC2_ConstructRoad.tif 441.39 MB image/geotiff
LC2_ConstructSuit.tif 428.13 MB image/geotiff
LC2_ConstructSuit.tif.vat.dbf 218 Bytes application/unknown
LC2_ConstructTrail.tfw 94 Bytes text/plain
LC2_ConstructTrail.tif 569.39 MB image/geotiff
LC3_ProtectRareHab_HUC.tif 194.33 MB image/geotiff

Purpose

We developed a conceptual framework to describe different categories of information, and how these different types of information could be connected to accurately, but simply, inform transportation and related land-use planning. With this conceptual model, we identified several primary information categories namely, Social Resources, Cultural Resources, Natural Resources, and Natural Hazards which interface with (existing or proposed) transportation networks via spatial “overlap” and similar influences incurred via co-location and/or proximity. These areas, where transportation infrastructure interacts with natural systems, are areas with potential effects of roadways on wildlife, wild habitats, water quality and other natural values, and awareness of these potentials can allow planners and developers to develop mitigation and/or avoidance into planning. Further, prior knowledge of the potential for human-wildlife conflicts may help define and streamline Environmental Impact Assessments and develop plans to assess (minimize) natural and social conflicts associated with the interface of transportation infrastructure and values associated with natural heritage, natural resources and social systems. Importantly, these data are interpretive data products compiled into an index (unit-less metric), which allows users to recognize concentrations of resource values. The Land-use Condition metrics may be used to evaluate patterns of land-use with more or less human activity (this metric) and the suitability of surface conditions for current and future land-uses (metric 2). This Land-use Condition metric may not include all sensitive or protected areas, and content and completeness differs amongst the data sources and regions. The natural lands, rare ecosystems, and protected rare ecosystems defined by the EPA EnviroAtlas program are not well described and they may exclude ecosystems that require protection. Consideration of this metric along with Terrestrial and Aquatic values Indices is suggested for regional planning efforts, and accurate depiction of habitats and protected areas using local data may provide additional, important details for local transportation projects. The data included with this report are based on estimated and modeled spatial information, with varying map scales and resolutions, and differences in appropriate and/or intended uses. These data cannot be used to infer specific locations (e.g., occurrence of a specific habitat within a grid-cell or watershed), but they are useful for identifying regional patterns in the distributions of natural and social values by providing spatial context (e.g., relative abundance of species) and evidence of the accumulation of values of interest or concern to society. USERS OF THESE DATA PRODUCTS SHOULD CAREFULLY READ AND UNDERSTAND THE LIMITATION OF THE DATA PRODUCT AND RELEVANT DATA INPUTS (SOURCE DATA) BEFORE USING THE INFORMATION CONTAINED THEREIN.

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