Avoidance of airspace over various sensitive areas (including many designated protected areas) is mandated by public law, including Federal Aviation Administration (FAA) regulations and Department of Defense (DoD) Service Branch regulations.  Until now, aviators used a variety of sources to help them identify these areas. Sectional charts, Flight Information Publications (FLIP), Notice to Airman (NOTAMS), and the Managed Areas Database (MAD) are among the resources available to aviators for pre-flight planning and in-flight avoidance.  Because of the cumbersome nature of this approach and the lack of a national standard, numerous errors have been made resulting in civil and fiscal penalties and numerous public complaints.

The purpose of the Protected Areas Database Aviation (or PAD Aviation) is to provide military and civil aviators with current, geo-referenced data that identifies areas sensitive or potentially sensitive to aircraft over-flight using a draft national standard.  PAD Aviation is a customized protected areas database derived from the PAD-US 1.1 (CBI Edition) that streamlines the geometry for rapid response with onboard navigation equipment and contains pertinent attributes unique for aviators.  For example, easy-to-use recommended altitude or avoidance information for individual protected areas.

The Forest Intactness Database was the result of a collaborative effort between the Conservation Biology Institute, theWorld Wildlife Fund U.S., and the World Resources Institute’sGlobal Forest Watch. Using primarily Landsat TM based National Land Cover Data (NLCD) and 1:100,000 scale USGS road data sets, we assessed relative forest intactness for 39 forested ecoregions of the coterminous United States.

Forest intactness was mapped within “landunits” that were defined by highways and urban areas that contained more than 50,000 people. For each landunit, road density was calculated as well as a suite of class and landscape level fragmentation metrics using FRAGSTATS, a spatial analysis software program. For each landunit, road density, class area, percentage of landscape, total core area index, and mean nearest neighbor results were assigned ordinal scores from which a cumulative score was calculated to create an overall relative forest intactness score. By assigning all landunits with a quantitative measurement of relative forest intactness based on a uniform dataset, this study:

(1) Identified remaining relatively intact forest

(2) Identified landunits that may make good restoration candidates from a regional context

(3) Examined forest fragmentation due to roads which has been omitted from other recent national assessments.

The Conservation Biology Institute, through a grant from the David and Lucille Packard Foundation, is working with BLM, CDFG, and USFWS to develop a science-based regional planning framework for the high wind resource region of the eastern Tehachapi Mountains and southeastern Sierra.  The project is intended to facilitate decision-making on a regional basis, per the recent federal guidance policies, through spatially-explicit and transparent decision-support tools for wind energy development and conservation.

We assembled available spatial datasets related to biodiversity and landscape intactness, developed logic and associated thresholds, and ranked sections of land (640 acres/1 Sq. mile), according to ecological value, biological potential, and level of disturbance. CBI has created web-based tools for visualizing the results, which are transparent, flexible, and supportive of agency needs.  The results are being used to map priority areas for conservation and where renewable energy projects and associated infrastructure may be compatible with conservation goals.

Implemented for the Southern Sierra/Western Mojave, the approach and decision-support tool have widespread applicability, including:

The title of this project was formerly “Wind, Wings & Wilderness”

Click here for the final project report.

CBI staff verified a new population of the endangered Stephens’ kangaroo rat in the Santa Maria Valley, San Diego County, California, by trapping and reconnaissance surveys and performed numerous adaptive management and monitoring tasks to help sustain this isolated population. Tasks included: