Consolidated Data Basin Info: Please see attached PDF document "CA_Terrestrial_Intactness_EEMS_methodologies_2025" for modeling methodology.
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IntactnessCBI2025Mean_102039_D
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https://databasin.org/datasets/c07f8b8acbd34ccfa53d4efefafc6f75/
Download from https://databasin.org
Feature Layer
ArcGIS Pro
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Feature Layer
Download from https://databasin.org
None
541-757-0687
databasin_admin@consbio.org
USA
97333
OR
Corvallis
136 SW Washington Ave, Suite 202
Data Basin Administrator
Data Basin
logic model,landscape condition. landscape condition,california,environmental evaluation modeling system,intactness,anthropogenic influence,landscape condition,eems,ca
<p><a target='_blank' href='https://www.energy.ca.gov/conditions-of-use' rel='nofollow ugc noopener noreferrer'>https://www.energy.ca.gov/conditions-of-use</a></p>
2011 - 2024
5171246.2770955255
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3819097.2270188713
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Desktop GIS software.
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.
Geospatial Analyst
Conservation Biology Institute
justin.heyerdahl@consbio.org
Justin Heyerdahl
This layer represents a classified view of the 2025 updated version of the Conservation Biology Institute’s Terrestrial Landscape Intactness multicriteria evaluation model (the last version is from 2016). This is a draft update to the high category of the Terrestrial Landscape Intactness screen for use in the 2026-2027 IRP cycle. Terrestrial landscape intactness is a measure of landscape condition based on the extent to which human impacts such as agriculture, urban development, natural resource extraction, and invasive species have disrupted the landscape across California. The high category of landscape intactness is used to determine high-implication land.
<div style='background-color:rgb(255, 255, 255); clear:both; color:rgb(0, 0, 0); font-family:"Segoe UI", "Segoe UI Web", Arial, Verdana, sans-serif; font-size:12px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; margin:0px; overflow:visible; padding:0px; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'><p style='background-color:transparent; color:windowtext; font-kerning:none; font-style:normal; font-weight:normal; margin:0px 0px 10.6667px; padding:0px; text-align:left; text-indent:0px;'><span style='font-family:Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, sans-serif; font-size:12pt;'><span style='font-variant-ligatures:none !important; line-height:20.925px; margin:0px; padding:0px;'>This category of planning priorities provides an estimate of terrestrial landscape condition based on the extent to which human impacts such as agriculture, urban development, natural resource extraction, and invasive species have disrupted the landscape across the State of California. It is based on the </span></span><a target='_blank' href='https://databasin.org/datasets/c07f8b8acbd34ccfa53d4efefafc6f75/' rel='nofollow ugc noopener noreferrer'><span style='font-family:Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, sans-serif; font-size:12pt;'><span style='font-variant-ligatures:none !important; line-height:20.925px; margin:0px; padding:0px;'>open-source logic modeling framework Environmental Evaluation Modeling System (EEMS) developed by Conservation Biology Institute (CBI)</span></span></a><span style='font-family:Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, sans-serif; font-size:12pt;'><span style='font-variant-ligatures:none !important; line-height:20.925px; margin:0px; padding:0px;'>. This multicriteria evaluation model result, last updated in 2025 and resolved at 1-kilometer square, spans values ranging from -1 to 1. The higher end of the spectrum indicates areas that are relatively intact based on the more than 30 input variables, and values in the lower end of the spectrum indicate where human impacts to disturb the landscape and ecological function are relatively high.</span><span style='line-height:20.925px; margin:0px; padding:0px;'> </span></span></p></div><div style='background-color:rgb(255, 255, 255); clear:both; color:rgb(0, 0, 0); font-family:"Segoe UI", "Segoe UI Web", Arial, Verdana, sans-serif; font-size:12px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; margin:0px; overflow:visible; padding:0px; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'><p style='background-color:transparent; color:windowtext; font-kerning:none; font-style:normal; font-weight:normal; margin:0px 0px 10.6667px; padding:0px; text-align:left; text-indent:0px;'> </p></div><div style='background-color:rgb(255, 255, 255); clear:both; color:rgb(0, 0, 0); font-family:"Segoe UI", "Segoe UI Web", Arial, Verdana, sans-serif; font-size:12px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; margin:0px; overflow:visible; padding:0px; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'><p style='background-color:transparent; color:windowtext; font-kerning:none; font-style:normal; font-weight:normal; margin:0px 0px 10.6667px; padding:0px; text-align:left; text-indent:0px;'><span style='font-family:Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, sans-serif; font-size:12pt;'><span style='font-variant-ligatures:none !important; line-height:20.925px; margin:0px; padding:0px;'>The CBI Terrestrial Landscape Intactness model result is partitioned at the mean, and the high category is shown in this GIS layer. Values of the dataset that lie above 0.3 are considered highly intact and considered higher-implication land; values of the dataset that are less than or equal to 0.3 are considered lower-implication land. </span><span style='line-height:20.925px; margin:0px; padding:0px;'> </span></span></p></div><div style='background-color:rgb(255, 255, 255); clear:both; color:rgb(0, 0, 0); font-family:"Segoe UI", "Segoe UI Web", Arial, Verdana, sans-serif; font-size:12px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; margin:0px; overflow:visible; padding:0px; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'><p style='background-color:transparent; color:windowtext; font-kerning:none; font-style:normal; font-weight:normal; margin:0px 0px 10.6667px; padding:0px; text-align:left; text-indent:0px;'><span style='font-family:Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, sans-serif; font-size:12pt;'><span style='font-variant-ligatures:none !important; line-height:20.925px; margin:0px; padding:0px;'>More information about this layer and its use in electric system planning is found in the 2023 </span></span><a style='color:inherit; margin:0px; padding:0px; text-decoration:none;' target='_blank' href='https://www.energy.ca.gov/data-reports/california-energy-planning-library/land-use-screens' rel='nofollow ugc noopener noreferrer'><span style='color:rgb(70,120,134); font-family:Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, sans-serif; font-size:12pt;'><span style='font-variant-ligatures:none !important; line-height:20.925px; margin:0px; padding:0px;'><u>Land Use Screens Staff Report in the CEC Energy Planning Library</u></span></span></a><span style='font-family:Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, sans-serif; font-size:12pt;'><span style='font-variant-ligatures:none !important; line-height:20.925px; margin:0px; padding:0px;'>, as well as the information on the </span></span><a target='_blank' href='https://databasin.org/datasets/c07f8b8acbd34ccfa53d4efefafc6f75/' rel='nofollow ugc noopener noreferrer'><span style='font-family:Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, sans-serif; font-size:12pt;'><span style='font-variant-ligatures:none !important; line-height:20.925px; margin:0px; padding:0px;'>original model output</span></span></a><span style='font-family:Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, sans-serif; font-size:12pt;'><span style='font-variant-ligatures:none !important; line-height:20.925px; margin:0px; padding:0px;'> from CBI below:</span></span></p><p style='background-color:transparent; color:windowtext; font-kerning:none; font-style:normal; font-weight:normal; margin:0px 0px 10.6667px; padding:0px; text-align:left; text-indent:0px;'> </p></div><p>This dataset provides an estimate of terrestrial landscape intactness, (i.e. condition), based on the extent to which human impacts such as agriculture, urban development, natural resource extraction, and invasive species have disrupted the landscape across the State of California. Terrestrial intactness values are high in areas where these impacts are low. This dataset, updated April 2025, is the most recent version created for CAL FIRE using the open-source logic modeling framework Environmental Evaluation Modeling System (EEMS). Spatially-explicit logic modeling hierarchically integrates numerous and diverse datasets into composite layers, quantifying information in a continuous rather than binary fashion. This technique yields accessible decision-support products that agencies can use to craft scientifically-rigorous management strategies. The analysis was carried out at 1 sq. km resolution.The California Statewide Landscape Intactness model integrates data from many different sources: agriculture development (from FRAP Vegetation, and CDL Cropscape), urban development (from LANDFIRE EVT and NLCD Impervious Surfaces), polluted areas (from NHD treatment ponds and EPA Superfund and Brownfield sites), linear development (OHV routes from owlsheadgps.com, roads from TIGER (broken down by type), utility lines, railroads, and pipelines from various state and BLM sources), point development (communication towers from the FCC), energy and mining development (from the state’s Office of Mine Reclamation mine dataset, larger mine footprints, state geothermal wells, USGS wind turbines, solar footprints, renewable projects in development, oil refineries and state oil/gas wells), planned clear cuts from Statewide Timber Harvest Plans, invasive vegetation (compiled from multiple sources including LANDFIRE EVT and USGS INHABIT), and measures of natural vegetation fragmentation. Input data range in currency from 2011-2024; the majority of data portray the more recent condition of the landscape. Results apply to terrestrial areas only. (Water bodies are omitted from the final dataset.) Online interactive maps showing the intactness model’s input data, intermediate layers, and final results can be explored via the Conservation Biology Institute’s platforms EEMS Online and Data Basin.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. 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.Work funded by the California Department of Forestry and Fire Protection ( CAL FIRE ), Fire and Resource Assessment Program ( FRAP ).</p>
Degagne, R., Gough, M., Heyerdahl, J., Joseph, G. 2025. Landscape Intactness Modeling for Statewide California Assessment: CAL FIRE 2025 Update. For more info please contact: Rebecca.degagne@consbio.orgWork funded by the California Department of Forestry and Fire Protection ( CAL FIRE ), Fire and Resource Assessment Program ( FRAP ).
Conservation Biology InstituteThank you to the state
federal
NGO
and private organizations and programs who provided input data for this analysis:CAL FIRE
CEC
CADOC
CalTrans
FRAP
USDA CDL Cropscape
LANDFIRE
USGS NHD & NLCD & INHABIT
EPA
DOI
US Census Bureau TIGER
US Energy Information Administration
BLM
FCC
CA Office of Mine Reclamation
CA Statewide Timber Harvest Plans
LANDFIRE
Owlshead GPS
UC Agriculture and Natural Resources.
https://databasin.org/datasets/c07f8b8acbd34ccfa53d4efefafc6f75/
Landscape Intactness (1 km), California - 2025
IRP
TPP
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data update
CAOpenData
California Natural Resources Agency
land use screens
20250613
20150800
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FALSE
IntactnessCBI2025Mean_102039_D
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