Geothermal_Wells_Density
Geothermal Count
Geothermal Count
Double
8
0
0
LoMinPtDens
Low Energy and Mining Point Development
Low Energy and Mining Point Development
Double
8
0
0
LoLinDensFz
Low Linear Development
Low Linear Development
Double
8
0
0
LoFragmentationFz
Low Natural Habitat Fragmentation
Low Natural Habitat Fragmentation
Double
8
0
0
Intensive_Agriculture_Density
Agriculture Development
Agriculture Development
Double
8
0
0
Power_Plants_Density
Energy Polys
Energy Polys
Double
8
0
0
Grazing_Density
Grazing Density
Grazing Density
Double
8
0
0
GTLF_Density
Ground Transportation Density
Ground Transportation Density
Double
8
0
0
HiCoreIntegrityFz
High Core Integrity
High Core Integrity
Double
8
0
0
HiCoreAreaFz
High Percent Natural Core Area
High Percent Natural Core Area
Double
8
0
0
HiTerrestIntactnessFz
High Terrestrial Intactness
High Terrestrial Intactness
Double
8
0
0
Invasives_Density
Invasive Vegetation
Invasive Vegetation
Double
8
0
0
LoEnergyDevFz
Low Energy Development
Low Energy Development
Double
8
0
0
LoPowerPlantDensityFz
Low Energy Poly Development
Low Energy Poly Development
Double
8
0
0
LoNearestNeighborFz
Low Mean Nearest Neighbor
Low Mean Nearest Neighbor
Double
8
0
0
LoNaturalPatchesFz
Low Mean Number of Patches
Low Number of Patches
Double
8
0
0
LoPermanentDevelopmentFz
Low Permanent Development
Low Permanent Development
Double
8
0
0
LoUrbanLoLinearFz
Low Urban and Linear Dev
Low Urban and Linear Dev
Double
8
0
0
LoUrbanDevFz
Low Urban Development
Low Urban Development
Double
8
0
0
LoVegStateImpactsFz
Low Veg State Impacts
Low Veg State Impacts
Double
8
0
0
DRECP_AT_C_FragNN_AV_1KM_poly_MEAN
Mean Nearest Neighbor
Mean Nearest Neighbor
Double
8
0
0
DRECP_AT_C_FragNP_AV_1KM_poly_MEAN
Mean Number of Patches
Mean Number of Patches
Double
8
0
0
Mines_Density
Mining Count
Mining Count
Double
8
0
0
OBJECTID
OBJECTID
Internal feature number.
OID
4
0
0
Esri
Sequential unique whole numbers that are automatically generated.
BLM_OHV_Density
OHV Density
OHV Density
Double
8
0
0
Oil_and_Gas_Wells_Density
Oil and Gas Count
Oil and Gas Count
Double
8
0
0
DRECP_AT_C_FragCorePct_AV_1KM_poly_MEAN
Percent Natural Core Area
Percent Natural Core Area
Double
8
0
0
Pipelines_Density
Pipeline Density
Pipeline Density
Double
8
0
0
Shape
Shape
Feature geometry.
Geometry
0
0
0
Esri
Coordinates defining the features.
Shape_Area
Shape Area
Area of feature in internal units squared.
Double
8
0
0
Esri
Positive real numbers that are automatically generated.
Shape_Length
Shape Length
Length of feature in internal units.
Double
8
0
0
Esri
Positive real numbers that are automatically generated.
MinPtsSum
Sum Energy and Mining Point Development
Energy and Mining Point Development Sum
Double
8
0
0
LinDevSum
Sum Linear Development
Linear Development Sum
Double
8
0
0
VegStateImpactsSum
Sum Veg State Impacts
Veg State Impacts Sum
Double
8
0
0
Urban_Development_Density
Urban Development
Urban Development
Double
8
0
0
Utility_Line_Density
Utility Line Density
Utility Line Density
Double
8
0
0
VegDeparture_selective_reclass
Veg Departure
Veg Departure
Double
8
0
0
Wind_Turbines_Density
Wind Turbine Count
Wind Turbine Count
Double
8
0
0
CurrentTerrestrialLandscapeClip
Feature Class
0
Consolidated Data Basin Info:
1KM Results: Current Terrestrial Landscape Intactness in the DRECP Study Area, 12km Buffer (v15a).Terrestrial intactness quantifies the signature of human impact on the landscape. Ecological intactness is high in areas where development is low, vegetation quality is high, and fragmentation is low.
This dataset provides an estimate of current terrestrial intactness, based on an EEMS fuzzy logic model that integrates multiple measures of landscape development
and vegetation intactness.See EEMS model diagram attached.
This model integrates agriculture development (from LANDFIRE
EVT v1.1), urban development (from LANDFIRE EVT v1.1 and NLCD Impervious
Surfaces), linear development (from Tiger 2012 Roads, utility lines, and
pipelines), OHV recreation areas, energy and mining development (from state
mine and USGS national mines datasets as well as geothermal wells, oil/gas
wells, wind turbines, and power plant footprints), vegetation departure (from
LANDFIRE VDEP), invasive vegetation
(multiple sources combined for invasives analyses), and measures of natural
vegetation fragmentation calculated using FRAGSTATS. In this version, Maxent modeled Sahara Mustard was included in the Invasive's branch as well as in the Fragstats model run. Caution is warranted in
interpreting this dataset because it provides a single estimate of terrestrial
intactness based on available data. The degree of terrestrial intactness likely
varies for a particular species or conservation element, and may depend on
additional factors or thresholds not included in this model. Instead, this
model should be taken as a general measure of intactness that can serve as a
template for evaluating across many species at the ecoregion scale, and provides
a framework within which species-specific parameters can be incorporated for
more detailed analyses.Change log:1. Vegetation (Fire Regime) Departure was reclassified as follows: Agriculture, Urban, Departure Not Calculated -> NoDataSparse Vegetation, Barren, Snow/Ice, Water -> 0In previous versions, all of the aforementioned categories were calculated as NoData. 2. Change Vegetation Departure weight from 0.05 (v14a) to 0.23. Change Agricultural Development weight from 0.7 (v14a) to 0.5
Conservation Biology Institute (databasin@consbio.org)
Conservation Biology Institute
11/13/2013
This work is licensed under a Creative Commons Attribution 3.0 License.
terrestrial intactness,eems,drecp
http://databasin.org/datasets/958719f2359e40b99ca683d1a473ba8d
Current Terrestrial Landscape Intactness (1km), DRECP
Conservation Biology Institute
3806105.79055
4547648.40205
-12649811.7926
-13256567.7954
ESRI ArcGIS Desktop and supporting operating systems.
Download from http://databasin.org
http://databasin.org/datasets/958719f2359e40b99ca683d1a473ba8d
No compression applied
ArcGIS 10
Feature Layer
Feature Layer
Download from http://databasin.org
None
No warranty is made by Data Basin for use of this dataset. No warranty is made by Data Basin regarding the accuracy, reliability, or completeness of this dataset. In no event shall Data Basin have any liability whatsoever for payment of any consequential, incidental, indirect, special, or tort damages of any kind, including, but not limited to, any loss of profits arising out of the use or reliance on the geographic or attribute data contained within this dataset or arising out of the delivery, installation, operation, or support by Data Basin.
541-757-0687
databasin_admin@consbio.org
Data Basin
Data Basin Administrator
97333
Corvallis
136 SW Washington Ave, Suite 202
physical address
USA
OR
20140929
19050700
1.0
FALSE
CurrentTerrestrialLandscapeClip
002
Projected
GCS_North_American_1983
Linear Unit: Meter (1.000000)
NAD_1983_UTM_Zone_11N
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20210920
12422800
20210920
12422800
Esri ArcGIS 12.8.3.29751
CurrentTerrestrialLandscapeClip
<div>1KM Results: Current Terrestrial Landscape Intactness in the DRECP Study Area, 12km Buffer (v15a).</div><div><div><br /></div><div>This dataset provides an estimate of current terrestrial intactness, based on an EEMS fuzzy logic model that integrates multiple measures of landscape development and vegetation intactness.</div><div><br /></div><div>See EEMS model diagram attached.</div><div><br /></div><div>This model integrates agriculture development (from LANDFIRE EVT v1.1), urban development (from LANDFIRE EVT v1.1 and NLCD Impervious Surfaces), linear development (from Tiger 2012 Roads, utility lines, and pipelines), OHV recreation areas, energy and mining development (from state mine and USGS national mines datasets as well as geothermal wells, oil/gas wells, wind turbines, and power plant footprints), vegetation departure (from LANDFIRE VDEP), invasive vegetation (multiple sources combined for invasives analyses), and measures of natural vegetation fragmentation calculated using FRAGSTATS. In this version, Maxent modeled Sahara Mustard was included in the Invasive's branch as well as in the Fragstats model run. </div><div><br /></div><div>https://drecp.databasin.org/datasets/958719f2359e40b99ca683d1a473ba8d/</div></div><div><br /></div>
DRECP
Terrestrial intactness quantifies the signature of human impact on the landscape. Ecological intactness is high in areas where development is low, vegetation quality is high, and fragmentation is low.
Clipped to Desert Renewable Energy Conservation Plan boundary
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