The Conservation Biology Institute, in collaboration with Ted Weller (USFS – Pacific Southwest Research Station) is expanding the functionality of Data Basin to create a clearinghouse for migratory bat detection data.  This new functionality will allow users to: (1) import location-aware spreadsheet data into Data Basin; (2) dynamically visualize these locations and their attributes (such as number of bats of a particular species) within the interactive map; and, (3) explore charts of time series records across one or more locations. Additional tools under development will allow aggregation into a single master dataset, support form-based imports to more easily capture site and detector information from researchers during upload, and support export of records into spatial and non-spatial outputs.

More information about the exciting implications of this project can be found within an article on The Wildlife Society website.

Working as a subcontractor to Dynamac Corporation, the Conservation Biology Institute provided the scientific leadership and technical support for two BLM Rapid Ecoregional Assessment (REAs).  The Sonoran Desert ecoregion was completed in the spring of 2012.  A series of conservation elements were chosen for the eocregion and over 40 management questions addressed.  Most questions pertained to a listed set of change agents, including urban and agriculture development, energy (including renewables), fire, invasive species, recreation, and climate change.  For each conservation element, conceptual models were created and, for each specific management question, an accompanying GIS-based process model was created that outlined the data and steps necessary to generate an answer to the question.  Part of the project required an exhaustive acquisition and review of available spatial data – hundreds the ecoregion.  Extensive and sophisticated modeling had to be applied to multiple topics including target species habitat, natural ecological systems, climate change, invasive species, wildfire, and landscape integrity.  Also, some custom analytical software had to be generated throughout the course of the project.

Project review was conducted using Data Basin and final results reside in a private group space on this web-based data management and mapping system.  To inquire about access to the data and map-based results, please contact Karen Prentice at BLM Headquarters (kprentice@blm.gov).

To download the report and find out more information, Click Here.

Working as a subcontractor to Dynamac Corporation, the Conservation Biology Institute provided the scientific leadership and technical support for two BLM Rapid Ecoregional Assessment (REAs).  The Colorado Plateau ecoregion was completed in the spring of 2012.  A series of conservation elements were chosen for the eocregion and over 40 management questions addressed.  Most questions pertained to a listed set of change agents, including urban and agriculture development, energy (including renewables), fire, invasive species, recreation, and climate change.  For each conservation element, conceptual models were created and, for each specific management question, an accompanying GIS-based process model was created that outlined the data and steps necessary to generate an answer to the question.  Part of the project required an exhaustive acquisition and review of available spatial data – hundreds the ecoregion.  Extensive and sophisticated modeling had to be applied to multiple topics including target species habitat, natural ecological systems, climate change, invasive species, wildfire, and landscape integrity.  Also, some custom analytical software had to be generated throughout the course of the project.

Project review was conducted using Data Basin and final results reside in a private group space on this web-based data management and mapping system.  To inquire about access to the data and map-based results, please contact Karen Prentice at BLM Headquarters (kprentice@blm.gov).

To download the full report and find our more information on the Colorado Plateau REA, click here.

As the Earth’s climate changes, many plant and animal species are reacting by shifting their geographic ranges. As a result, resource managers are now faced with the challenge of developing and implementing strategies that will support wildlife adaptation to climate change. The sheer magnitude and diversity of models and data that can be applied to climate impact analyses and adaptation strategies can often be confusing to many users.

Recognizing a need for clarity within this field, the Yale School of Forestry and Environmental Sciences convened a working group of the nation’s leading conservation biologists, modelers, and policy makers to develop a guidance tool for integrating natural adaptation strategies into the context of natural resource planning and policymaking. The tool, The Yale Mapping Framework (www.databasin.org/yale), assists resource managers in selecting the assessment and modeling strategies that are most relevant to their specific needs, helping to guide choices among the many tools, data, and methods that planners may use to implement their adaptation approaches in the face of a changing climate.

CBI has managed a Protected Areas Database (PAD) for the United States since 1999 with public and private support. In May 2010, CBI released PAD-US (CBI Edition) v1.1 a national database of protected fee and easement lands. Since then CBI has been working to redesign PAD-US (CBI Edition) to be a fee lands only database to be used along with the National Conservation Easement Database (NCED) to represent the terrestrial conservation lands of the United States. The most recent relase PAD-US (CBI Edition) Version 2, reflects this change to fee only database along with full updates to thirteen states (including AZ, CA, CO, FL, GA, IL, MI, MT, ND, OR, SD, TN, WA).

Protected areas are the cornerstones around which regional, national and international conservation strategies are developed. Through protected area designations, lands and waters are set-aside in-perpetuity to preserve functioning natural ecosystems, act as refuges for species, and maintain ecological processes. Complementary conservation strategies preserve land for the sustainable use of natural resources, or for the protection of significant geologic and cultural features or open space. PAD-US (CBI Edition) attempts to include all available spatial data on these places. It is our goal to publish the most comprehensive geospatial data set of U.S. protected areas to date.

PAD-US (CBI Edition) provides a rich picture of protected area coverage useful at a variety of scales. It portrays the nation’s protected areas with a standardized spatial geometry and numerous valuable attributes on land ownership, management designations and conservation status (using GAP and IUCN coding systems). It is developed with the purpose of allowing any user – from the general public to professional land managers – to know exactly what lands are protected anywhere the United States and allows them to easily use this inventory for conservation, land management, planning, recreation and other uses. This version should substantially improve our national inventory of protected lands.

Download the national data layer from links below:

– Click here for PAD-US (CBI Edition) Version 2.1 Shapefile (updated September 1, 2016)*

– Click here for PAD-US (CBI Edition) Version 2.1 Geodatabase (updated September 1, 2016)*

*These data have been updated to reflect finalization of reserved status for all protected lands.

The National Conservation Easement Database (NCED) is the first national database of conservation easement information, compiling records from land trusts and public agencies throughout the United States. This public-private partnership brings together national conservation groups, local and regional land trusts, and state and federal agencies around this common objective.

The purpose of the NCED project is to, in collaboration with land trusts and public agencies, create a single, up-to-date, sustainable nationwide system for managing and accessing data about conservation easements. Five leading conservation organizations have joined forces to develop the NCED:

Key partners providing support, advice, and data include the Land Trust Alliance, representing the views and concerns of the nation’s 1,700+ local and regional land trusts, The Nature Conservancy, the U.S. Fish and Wildlife Service, the Natural Resources Conservation Service, and the U.S. Forest Service.

The IABIN Data Integration and Analysis Gateway (DIAG) is a gateway within Data Basin that provides a custom view of content in the system for IABIN users.  This gateway is intended to showcase the information produced by the 5 IABIN thematic networks: ecosystems, invasive species, pollinators, protected areas, and species & specimens.

IABIN was created in 1996 as an initiative of the Santa Cruz Summit of the Americas meeting of Heads of State. Steadily gaining momentum, there are now 34 countries in the Americas that have officially been named IABIN focal points.  Although endorsed by governments, NGOs, universities, museums, and the private sector all belong to and play important roles in IABIN.

IABIN will provide the networking information infrastructure (such as standards and protocols) and biodiversity information content required by the countries of the Americas to improve decision-making, particularly for issues at the interface of human development and biodiversity conservation. It is developing an Internet-based platform to give access to scientifically credible biodiversity information currently scattered throughout the world in different institutions, such as government organizations, museums, botanical gardens, universities, and NGOs.

The IABIN Secretariat is dedicated to the implementation of IABIN will support a technical standards development process, coordinate catalogues and directories (either centralized or distributed), manage communications including electronic mailing, lists and Web sites, coordinate efforts with other networks, support training for member countries and organizations, and support the efforts of IABIN nodes.

All content developed by IABIN is open and available for public use.

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.