Science Analytics and Synthesis (SAS)

Publications

Filter Total Items: 184
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Year Published: 2021

U.S. Geological Survey wildland fire science strategic plan, 2021–26

The U.S. Geological Survey (USGS) Wildland Fire Science Strategic Plan defines critical, core fire science capabilities for understanding fire-related and fire-responsive earth system processes and patterns, and informing management decision making. Developed by USGS fire scientists and executive leadership, and informed by conversations with...

Steblein, Paul F.; Loehman, Rachel A.; Miller, Mark P.; Holomuzki, Joseph R.; Soileau, Suzanna C.; Brooks, Matthew L.; Drane-Maury, Mia; Hamilton, Hannah M.; Kean, Jason W.; Keeley, Jon E.; Mason, Robert R.; McKerrow, Alexa J.; Meldrum, James R.; Molder, Edmund B.; Murphy, Sheila F.; Peterson, Birgit; Plumlee, Geoffrey S.; Shinneman, Douglas J.; van Mantgem, Phillip J.; York, Alison
Steblein, P.F., Loehman, R.A., Miller, M.P., Holomuzki, J.R., Soileau, S.C., Brooks, M.L., Drane-Maury, M., Hamilton, H.M., Kean, J.W., Keeley, J.E., Mason, R.R., Jr., McKerrow, A., Meldrum, J.R., Molder, E.B., Murphy, S.F., Peterson, B., Plumlee, G.S., Shinneman, D.J., van Mantgem, P.J., and York, A., 2021, U.S. Geological Survey wildland fire science strategic plan, 2021–26: U.S. Geological Survey Circular 1471, 30 p., https://doi.org/10.3133/cir1471.

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Year Published: 2021

U.S. Geological Survey Community for Data Integration 2019 Workshop Proceedings—From big data to smart data

The U.S. Geological Survey (USGS) Community for Data Integration (CDI) Workshop was held during June 3–7, 2019, at Center Green in Boulder, Colo. The theme of the workshop was “From Big Data to Smart Data” with the purpose of bringing together the community to discuss current topics, shared challenges, and steps forward to advance twenty-first...

Hsu, Leslie
Hsu, L., 2021, U.S. Geological Survey Community for Data Integration 2019 Workshop Proceedings—From big data to smart data: U.S. Geological Survey Open-File Report 2020–1132, 48 p., https://doi.org/10.3133/ofr20201132.

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Year Published: 2020

New operational national satellite burned area product

Introduction Lack of consistent spatial and temporal fire information with relevant spatial resolution hinders land management and broad-scale assessments of fire activity, especially in the eastern United States and the Great Plains where fi re is important ecologically and culturally. Remote sensing can be used to monitor fi re activity, augment...

Hawbaker, Todd J.; Vanderhoof, Melanie K.; Schmidt, Gail L.; Beal, Yen-Ju G.; Picotte, Joshua J.; Takacs, Joshua; Falgout, Jeff T.; Dwyer, John L.

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Year Published: 2020

USGS enterprise tools for efficient and effective management of science data

The Science Data Management Branch (SDM) of the U.S. Geological Survey (USGS) provides data management expertise and leadership and develops guidance and tools to support the USGS in providing the nation with reliable scientific information on the basis of which to describe the Earth. The SDM suite of tools supports the USGS Data Management...

Hutchison, Vivian B.; Liford, Amanda; McClees-Funinan, Ricardo; Zolly, Lisa; Ignizio, Drew; Langseth, Madison; Serna, Brandon; Sellers, Elizabeth; Hsu, Leslie; Norkin, Tamar; McNiff, Marcia; Donovan, Grace
Hutchison, V.B., Liford, A.N., McClees-Funinan, Ricardo, Zolly, Lisa, Ignizio, D.A., Langseth, M.L., Serna, B.S., Sellers, E.A., Hsu, Leslie, Norkin, Tamar, McNiff, Marcia, Donovan, G.C., 2020, USGS enterprise tools for efficient and effective management of science data: U.S. Geological Survey Fact Sheet 2020–3041, 2 p., https://doi.org/10.3133/fs20203041.

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Year Published: 2020

Ecological forecasting—21st century science for 21st century management

Natural resource managers are coping with rapid changes in both environmental conditions and ecosystems. Enabled by recent advances in data collection and assimilation, short-term ecological forecasting may be a powerful tool to help resource managers anticipate impending near-term changes in ecosystem conditions or dynamics. Managers may use the...

Bradford, John B.; Weltzin, Jake F.; Mccormick, Molly; Baron, Jill; Bowen, Zack; Bristol, Sky; Carlisle, Daren; Crimmins, Theresa; Cross, Paul; DeVivo, Joe; Dietze, Mike; Freeman, Mary; Goldberg, Jason; Hooten, Mevin; Hsu, Leslie; Jenni, Karen; Keisman, Jennifer L.; Kennen, Jonathan; Lee, Kathy; Lesmes, David; Loftin, Keith; Miller, Brian W.; Murdoch, Peter; Newman, Jana; Prentice, Karen L.; Rangwala, Imtiaz; Read, Jordan; Sieracki, Jennifer; Sofaer, Helen; Thur, Steve; Toevs, Gordon; Werner, Francisco; White, C. LeAnn; White, Timothy; Wiltermuth, Mark
Bradford, J.B., Weltzin, J.F., McCormick, M., Baron, J., Bowen, Z., Bristol, S., Carlisle, D., Crimmins, T., Cross, P., DeVivo, J., Dietze, M., Freeman, M., Goldberg, J., Hooten, M., Hsu, L., Jenni, K., Keisman, J., Kennen, J., Lee, K., Lesmes, D., Loftin, K., Miller, B.W., Murdoch, P., Newman, J., Prentice, K.L., Rangwala, I., Read, J., Sieracki, J., Sofaer, H., Thur, S., Toevs, G., Werner, F., White, C.L., White, T., and Wiltermuth, M., 2020, Ecological forecasting—21st century science for 21st century management: U.S. Geological Survey Open-File Report 2020–1073, 54 p., https://doi.org/10.3133/ofr20201073.

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Year Published: 2020

Community for data integration 2018 funded project report

The U.S. Geological Survey Community for Data Integration annually funds small projects focusing on data integration for interdisciplinary research, innovative data management, and demonstration of new technologies. This report provides a summary of the 10 projects funded in fiscal year 2018, outlining their goals, activities, and accomplishments.

Hsu, Leslie; Andrews, Caitlin M.; Bradford, John B.; Buscombe, Daniel D.; Chase, Katherine J.; Daniel, Wesley M.; Jones, Jeanne M.; Fuller, Pam; Mirus, Benjamin B.; Neilson, Matthew E.; Vraga, Hans W.; Walker, Jessica J.; Walworth, Dennis H.; Warrick, Jonathan; Weltzin, Jake F.; Wieferich, Daniel J.; Wood, Nathan J.
Hsu, L., Andrews, C.M., Bradford, J.B., Buscombe, D.D., Chase, K.J., Daniel, W.M., Jones, J.M., Fuller, P., Mirus, B.B., Neilson, M.E., Vraga, H.W., Walker, J.J., Walworth, D.H., Warrick, J., Weltzin, J., Wieferich, D.J., and Wood, N.J., 2020, Community for Data Integration 2018 funded project report: U.S. Geological Survey Open-File Report 1062, 9 p., https://doi.org/10.3133/ofr20201062.

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Year Published: 2020

Envisioning a national invasive species information framework

With a view toward creating a national Early Detection and Rapid Response Program (EDRR) program, the United States National Invasive Species Council Management Plan for 2016–2018 calls for a series of assessments of federal EDRR capacities, including the evaluation of “relevant federal information systems to provide the data and other...

Reaser, Jamie K; Simpson, Annie; Guala, Gerald; Morisette, Jeffrey; Fuller, Pam

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Year Published: 2019

Community for Data Integration 2018 annual report

The Community for Data Integration (CDI) is a community of practice whose purpose is to build the U.S. Geological Survey knowledge base in data integration. This annual report describes the various presentations, activities, and outcomes of the CDI monthly forums, working groups, trainings, and other CDI-sponsored events in fiscal year 2018. The...

Hsu, Leslie; Colasuonno, Leah
Hsu, L., and Colasuonno, L., 2019, Community for Data Integration 2018 annual report: U.S. Geological Survey Open-File Report 2019–1123, 26 p., https://doi.org/10.3133/ofr20191123.

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Year Published: 2019

BbsAssistant: An R package for downloading and handling data and information from the North American Breeding Bird Survey

This R package contains functions for downloading and munging data from the U.S. Geological Surveys North American Breeding Bird Survey (BBS) via file transfer protocol (FTP) (Pardieck, Ziolkowski Jr, Lutmerding, & Hudson, 2018; J. R. Sauer et al., 2017). This package was created to allow the user to bulk-download the BBS point count and...

Burnett, Jessica Leigh; Wszola, Lyndsie S.; Palomo-Muñoz, Gabriela

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Year Published: 2019

The power, potential, and pitfalls of open access biodiversity data in range size assessments: Lessons from the fishes

Geographic rarity is a driver of a species’ intrinsic risk of extinction. It encompasses multiple key components including range size, which is one of the most commonly measured estimates of geographic rarity. Range size estimates are often used to prioritize conservation efforts when there are multiple candidate species, because data for other...

Benson, Abigail

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Year Published: 2019

Measuring sustainability of seed-funded Earth science informatics projects

Short term funding is a common funding model for informatics projects. Funders are interested in maximizing the sustainability and accessibility of the outputs, but there are no commonly accepted practices to do so in the Earth sciences informatics field. We constructed and applied a framework for sustainability drawing from other disciplines that...

Hsu, Leslie; Hutchison, Vivian B.; Langseth, Madison