Avian Knowledge Network Histogram Tools


The  Avian Knowledge Network (AKN) Histogram Tool is currently available for 32 states within the continental United States.

The AKN Histogram Tool aggregates bird-monitoring (point-count, area search, distance sampling, transect sampling, nest success), bird-banding, and broad-scale citizen science data, and new datasets are being added to the AKN annually. All of these data are described and maintained
using  a common schema.

The results can help users determine the best times of year to conduct activities or implement best management practices to avoid and minimize impacts to bird species of concern that are known to occur within a project or activity area. To query the data and view histogram results similar to those you see in the image above, use the links below.

 California Avian Data Center AKN Histogram Tool

 Eastern Avian Data Center AKN Histogram Tool - Northeast Region (Connecticut, Delaware, Maine, Maryland, Massachusetts, New Hampshire, New Jersey, New York, Pennsylvania, Rhode island, Vermont, West Virginia)

 Eastern Avian Data Center AKN Histogram Tool - Southeast Region (Alabama, Arkansas, Florida, Georgia, Kentucky, Louisiana, Mississippi, North Carolina, South Carolina, Tennessee, Virginia)

 Midwest Avian Data Center AKN Histogram Tool (Illinois, Indiana, Iowa, Michigan, Minnesota, Missouri, Ohio, Wisconsin)

To view best available data in areas not currently covered by the AKN Histogram Tool, please see the  E-bird Explore Data Tool

New Development: Through the Council for the Conservation of Migratory Birds the FWS is facilitating an effort to increase the accessibility of best available bird data and decision support tools through the development of a National Node of the AKN. The National Node will improve data discovery and data sharing capabilities across all AKN nodes and other separate data bases.  The National Node will also expand the AKN histogram tool to a nationwide scale and incorporate these histograms into the Service's IPaC system. For more information about this effort, visit the National Node project website.



Last Updated: December 12, 2016