Duffus, Amanda LJ, Thomas B. Waltzek, Anke C. Stöhr, Matthew C. Allender, Michael Gotesman, Richard J. Whittington, Paul Hick, Megan K. Hines, and Rachel E. Marschang. "Distribution and host range of ranaviruses." In Ranaviruses, pp. 9-57. Springer, Cham, 2015.
Megan K Hines
Science and Products
Date published: January 1, 2015
Status: Completed An Assessment of Midwestern Lake and Stream Temperatures under Climate Change
Water temperatures are warming in lakes and streams, resulting in the loss of many native fish. Given clear passage, coldwater stream fishes can take refuge upstream when larger streams become too warm. Likewise, many Midwestern lakes “thermally stratify” resulting in warmer waters on top of deeper, cooler waters. Many of these lakes are connected to threatened streams. To date, assessments of...
Contacts: Megan K Hines, Dale M Robertson
Attribution: Climate Adaptation Science Centers
Date published: September 18, 2013
Status: Active Citizen Science Observation Platform - Using Curated Twitter and GeoRSS Enabled Feeds
This project leveraged existing efforts toward the use of social media systems for delivery of information into a web based visualization framework. Rather than support the development of an expensive system developed in-house, this project supports the use of cloud-based social media system Twitter to provide a robust observation platform. Development efforts were directed at utilizing the...
Contacts: Megan K Hines, David L Govoni, M.S.
Attribution: Community for Data Integration (CDI)
Date published: September 12, 2013
Status: Active myScience: USGS Citizen Science Project Discovery & Public Engagement Web Application
How can the public discover opportunities for participation in USGS scientific research? What citizen science projects are currently active within the USGS? How may PIs increase public engagement in and awareness of their citizen science projects? To address these questions, a web application leveraging existing Community for Data Integration (CDI) and USGS work was created to allow...
Contacts: Megan K Hines
Attribution: Community for Data Integration (CDI)
Date published: September 4, 2013
Status: Active USGS Citizen Science Workshop
What USGS programs use citizen science? How can projects be best designed while meeting policy requirements? What are the most effective volunteer recruitment methods? What data should be collected to ensure validation and how should data be stored? What standard protocols are most easily used by volunteers? Can data from multiple projects be integrated to support new research or existing...
Contacts: Megan K Hines, David L Govoni, M.S.
Attribution: Community for Data Integration (CDI)
Year Published: 2017
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 L.; Thieler, E. Robert; Gutierrez, Benjamin T.; Plant, Nathaniel G.; Hines, Megan K.; Fraser, James D.; Catlin, Daniel H.; Karpanty, Sarah M.View Citation
Zeigler, S.L., Thieler, E.R., Gutierrez, B.T., Plant, N.G., Hines, M. Fraser, J.D., Catlin, D.H., Karpanty, S.M., 2017. Smartphone technologies and Bayesian networks to assess shorebird habitat selection. Wildlife Society Bulletin. DOI: 10.1002/wsb.820.
Year Published: 2016
Biogeomorphic classification and images of shorebird nesting sites on the U.S. Atlantic coast
Atlantic coast piping plover (Charadrius melodus) nest sites are typically found on low-lying beach and dune systems, which respond rapidly to coastal processes like sediment overwash, inlet formation, and island migration that are sensitive to climate-related changes in storminess and the rate of sea-level rise. Data were obtained to understand...
Sturdivant, Emily; Thieler, E. Robert; Zeigler, Sara; Winslow, Luke; Hines, Megan K.; Read, Jordan S.; Walker, Jordan I.Attribution: Woods Hole Coastal and Marine Science Center, Natural Hazards, Coastal and Marine Hazards and Resources Program
View Citation
Sturdivant, E.J., Thieler, E.R., Zeigler, S.L., Winslow, L.A., Hines, M.K., Read, J.S., Walker, J.I., 2016, Biogeomorphic classification and images of shorebird nesting sites on the U.S. Atlantic coast: U.S. Geological Survey data release, http://dx.doi.org/10.5066/F70V89X3.
Year Published: 2016
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 L.; Winslow, Luke; Hines, Megan K.; Read, Jordan S.; Walker, Jordan I.
Year Published: 2015
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.
Year Published: 2015
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.View Citation
In Proceedings of the 3rd Joint Federal Interagency Conference (10th Federal
Interagency Sedimentation Conference and 5th Federal Interagency Hydrologic
Modeling Conference), April 19 – 23, 2015, Reno, Nevada.
Year Published: 2015
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 PavlickAttribution: Community for Data Integration (CDI), Science Analytics and Synthesis (SAS), United States of America
View Citation
Chang, M.Y., Carlino, Jennifer, Barnes, Christopher, Blodgett, D.L., Bock, Andy, Everette, A.L., Fernette, G.L., Flint, L.E., Gordon, Janice, Govoni, D.L., Hay, L.E., Henkel, H.S., Hines, M.K., Holl, S.L., Homer, Collin, Hutchison, V.B., Ignizio, D.A., Kern, Tim, Lightsom, F.L., Markstrom, S.L., O'Donnell, Michael, Schei, J.L., Schmid, L.A., Schoephoester, K.M., Schweitzer, P.N., Skagen, S.K., Sullivan, D.J., Talbert, Colin, and Warren, M.P., 2015, Community for data integration 2013 annual report: U.S. Geological Survey Open-File Report 2015–1005, 36 p., http://dx.doi.org/10.3133/ofr20151005.
Year Published: 2013
Partnering for science: proceedings of the USGS Workshop on Citizen Science
What U.S. Geological Survey (USGS) programs use citizen science? How can projects be best designed while meeting policy requirements? What are the most effective volunteer recruitment methods? What data should be collected to ensure validation and how should data be stored? What standard protocols are most easily used by volunteers? Can data from...
Hines, Megan; Benson, Abigail; Govoni, David; Masaki, Derek; Poore, Barbara; Simpson, Annie; Tessler, StevenAttribution: Community for Data Integration (CDI), Science Analytics and Synthesis (SAS), United States of America
View Citation
Partnering for science: proceedings of the USGS Workshop on Citizen Science; 2013; OFR; 2013-1234; Hines, Megan; Benson, Abigail; Govoni, David; Masaki, Derek; Poore, Barbara; Simpson, Annie; Tessler, Steven
Year Published: 2012
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.Attribution: National Wildlife Health Center, Ecosystems
Pre-USGS Publications
Zhu, Xiaojin, Jun-Ming Xu, Christine M. Marsh, Megan K. Hines, and F. Joshua Dein. "Machine learning for zoonotic emerging disease detection." In International Conference on Machine Learning. Proc. 2011 Workshop on Machine Learning for Global Challenges. 2011.