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Draft Terrestrial Landscape Intactness for 2026-2027 IRP
,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 ).,
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Draft Critical Habitat for 2026-2027 IRP
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Draft CEC Cropland Index Model High Category for 2026-2027 IRP
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Draft Protected Areas Exclusion (Solar) for 2026-2027 IRP
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,The geospatial data reflected in this Protected Area Layer contain minor data versioning and consolidation updates from the previous Protected Area Layer. The components of the Protected Area Layer mostly pertain to natural and wilderness areas where development of utility-scale renewable energy is prohibited, and were heavily based on RETI 1.0 blackout areas.,The protected area layer for solar PV technology includes the BLM Western Solar Plan, as well as the latest Greater Sage-Grouse Habitat Management Areas (note: the Sage Grouse Habitat Management Areas provide separate exclusion areas for solar, wind, and geothermal resources).,More information is found in the CEC presentation from the August 19 webinar, as well as the 2023 Land Use Screens Staff Report in the CEC Energy Planning Library. ,
Terrestrial Intactness (Classified)
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,This category of planning priorities in the CEC 2023 Land-Use Screens 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 open-source logic modeling framework Environmental Evaluation Modeling System (EEMS) developed by Conservation Biology Institute (CBI). This multicriteria evaluation model result, last updated in 2016 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 these human impacts to disturb the landscape and ecological function are relatively high.1,In the adapted version of the CBI Terrestrial Landscape Intactness given here, the dataset is partitioned into high and low categories based on the mean. Values of the dataset that lie above 0.3 are considered highly intact and are used as an exclusion. Values of the dataset that are less than or equal to 0.3 are allowed to remain in consideration for resource potential. Applying the partition at the mean allows for lands that are relatively more intact than disturbed to be considered for resource potential. The high category of landscape intactness given by this dataset is used as an exclusion in both the Core and SB 100 Terrestrial Climate Resilience Study screens.,This layer is featured in the CEC 2023 Land-Use Screens for Electric System Planning data viewer.,More information about this layer and its use in electric system planning is available in the Land Use Screens Staff Report in the CEC Energy Planning Library.,[1] Degagne, R., J. Brice, M. Gough, T. Sheehan, and J. Strittholt. 2016. “Terrestrial Landscape Intactness 1 kilometer, California.” Conservation Biology Institute.https://databasin.org/datasets/e3ee00e8d94a4de58082fdbc91248a65/,
Draft Base Exclusions (Solar) for 2026-2027 IRP
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,This version of the base exclusions incorporates the latest draft version of the Protected Area Layer (Solar) and the techno-economic exclusion layer. The base exclusions form the fundamental exclusion set that the additional planning priorities of the Core Land Use Screen is added to. The merged footprints of these primary two layers are modified by the Greater Sage-Grouse Habitat Management Areas, the Bureau of Land Management Desert Renewable Energy Conservation Plan (DRECP) Land Use Plan Amendment (LUPA) Development Focus Areas (DFAs), Variance Process Lands (VPL), and the General Public Lands (GPL), as well as the 2024 BLM Western Solar Plan. These areas allow for renewable energy applications and are therefore exempt (erased) from the base exclusions layer, even if the protected area layer or techno-economic exclusion layer identified the area as an exclusion. The DFAs are partitioned by technology type so that only the DFAs that allow solar energy are applied in this modification.,The area of California remaining after removing the base exclusions is called the resource potential basemap. It forms the starting point (or base) used in renewable resource estimation and defines where environmental and land-use datasets can be applied in exploring implications of renewable resource development.,Note: Existing project footprints are also included as part of the base exclusions.,More information is found in the CEC presentation from the August 19 webinar, as well as the 2023 Land Use Screens Staff Report in the CEC Energy Planning Library. ,
i15 LandUse Glenn1998
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i15 LandUse Glenn1993
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i15 LandUse Fresno1994
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i15 LandUse Placer1994
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i15 LandUse Tuolumne1997
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