SDE Feature Class
Tags
anthropogenic influence, CA, logic model, environmental evaluation modeling system, landscape condition, EEMS, Explorer of Data Basin, intactness, California
This dataset was created to be used for planning purposes by the State of California. It shows the extent and magnitude of human impacts, (such as agriculture, urban development, natural resource extraction, and invasive species), on the landscape. Online interactive maps showing input data, intermediate layers, and final results can be explored via the Conservation Biology Institutes tools: EEMS Explorer on Data Basin ( http://databasin.org/) and EEMS Online ( http://eemsonline.org/) . Users can explore, modify, and run the landscape intactness and other EEMS models (e.g. change thresholds) on EEMS Online.
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 December 2016, is the most recent version (v30) created for the California Energy Commission 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 state and federal 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 states 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), clear cuts from Statewide Timber Harvest Plans, invasive vegetation (compiled from multiple sources including LANDFIRE EVT, NatureServe Landcover, and NISIMS BLM database), and measures of natural vegetation fragmentation calculated using FRAGSTATS (percent natural core area, number of patches, and nearest neighbor). Results are dependent on the quality of available input data for a given area.
Input data range in currency from 2011-2015; 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 models input data, intermediate layers, and final results can be explored via the Conservation Biology Institutes tools: EEMS Explorer on Data Basin (http://databasin.org/) and EEMS Online (http://eemsonline.org/). Users can explore, modify, and run the landscape intactness and other EEMS models (e.g. change thresholds) on EEMS Online.
Caution is warranted in interpreting this dataset because it provides a single estimate of terrestrial intactness based on available data. It does not directly address ecological value; the Conservation Values/Attributes model does. 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.
Conservation Biology Institute Thank you to the state, federal, NGO, and private organizations and programs who provided input data for this analysis: California Energy Commission, FRAP, USDA CDL Cropscape, LANDFIRE, USGS NHD and NLCD, EPA, owlsheadgps.com, TIGER, DRECP, BLM, FCC, CA Office of Mine Reclamation, CA Statewide Timber Harvest Plans, LANDFIRE, NatureServe.
This work is licensed under a Creative Commons Attribution 3.0 License.
Extent
| West | -124.415163 | East | -114.135812 |
| North | 42.009519 | South | 32.534269 |
| Maximum (zoomed in) | 1:5,000 |
| Minimum (zoomed out) | 1:150,000,000 |
This work is licensed under a Creative Commons Attribution 3.0 License.