Megan K Hines
Science and Products
Smartphone technologies and Bayesian networks to assess shorebird habitat selection
Understanding patterns of habitat selection across a species’ geographic distribution can be critical for adequately managing populations and planning for habitat loss and related threats. However, studies of habitat selection can be time consuming and expensive over broad spatial scales, and a lack of standardized monitoring targets or methods...
Zeigler, Sara; Thieler, E. Robert; Gutierrez, Ben; Plant, Nathaniel G.; Hines, Megan K.; Fraser, James D.; Catlin, Daniel H.; Karpanty, Sarah M. Smartphone-based distributed data collection enables rapid assessment of shorebird habitat suitability
Understanding and managing dynamic coastal landscapes for beach-dependent species requires biological and geological data across the range of relevant environments and habitats. It is difficult to acquire such information; data often have limited focus due to resource constraints, are collected by non-specialists, or lack observational uniformity...
Thieler, E. Robert; Zeigler, Sara; Winslow, Luke; Hines, Megan K.; Read, Jordan S.; Walker, Jordan I. New insight into California’s drought through open data
Historically unprecedented drought in California has brought water issues to the forefront of the nation’s attention. Crucial investigations that concern water policy, management, and research, in turn, require extensive information about the quality and quantity of California’s water. Unfortunately, key sources of pertinent data are...
Read, Emily K.; Bucknell, Mary; Hines, Megan K.; Kreft, James M.; Lucido, Jessica M.; Read, Jordan S.; Schroedl, Carl; Sibley, David M.; Stephan, Shirley; Suftin, Ivan; Thongsavanh, Phethala; Van Den Hoek, Jamon; Walker, Jordan I.; Wernimont, Martin R; Winslow, Luke A.; Yan, Andrew N. User-interactive sediment budgets in a browser: A web application for river science and management
Decision-support tools providing accurate, near-real-time data and user-friendly interactive visualizations are of critical value to resource managers tasked with planning and carrying out management programs in their domain. Creating a system to continuously aggregate datasets and recompute derived values is difficult and error-prone when...
Sibley, David M.; Topping, David; Hines, Megan K.; Garner, Bradley D.
Community for Data Integration 2013 Annual Report
The U.S. Geological Survey (USGS) conducts earth science to help address complex issues affecting society and the environment. In 2006, the USGS held the first Scientific Information Management Workshop to bring together staff from across the organization to discuss the data and information management issues affecting the integration and delivery...
Chang, Michelle Y.; Carlino, Jennifer; Barnes, Christopher; Blodgett, David L.; Bock, Andrew R.; Everette, Anthony L.; Fernette, Gregory L.; Flint, Lorraine E.; Gordon, Janice M.; Govoni, David L.; Hay, Lauren E.; Henkel, Heather S.; Hines, Megan K.; Holl, Sally L.; Homer, Collin G.; Hutchison, Vivian B.; Ignizio, Drew A.; Kern, Tim J.; Lightsom, Frances L.; Markstrom, Steven L.; O'Donnell, Michael S.; Schei, Jacquelyn L.; Schmid, Lorna A.; Schoephoester, Kathryn M.; Schweitzer, Peter N.; Skagen, Susan K.; Sullivan, Daniel J.; Talbert, Colin; Warren, Meredith Pavlick
U.S. Geological Survey, National Wildlife Health Center, 2011 report of selected wildlife diseases
The National Wildlife Health Center (NWHC) was founded in 1975 to provide technical assistance in identifying, controlling, and preventing wildlife losses from diseases, conduct research to understand the impact of diseases on wildlife populations, and devise methods to more effectively manage these disease threats. The impetus behind the creation...
Green, David E.; Hines, Megan K.; Russell, Robin E.; Sleeman, Jonathan M.