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Community for Data Integration 2017 annual report
The Community for Data Integration (CDI) is a group that helps members grow their expertise on all aspects of working with scientific data. The CDI’s activities advance data and information integration capabilities in the U.S. Geological Survey and in the wider Earth and biological sciences. This annual report describes the presentations, activities, collaboration areas, workshop, and other CDI-sp
Authors
Leslie Hsu, Madison L. Langseth
U.S. Geological Survey Community for Data Integration 2017 Workshop Proceedings
Executive SummaryThe U.S. Geological Survey (USGS) Community for Data Integration (CDI) Workshop was held May 16–19, 2017 at the Denver Federal Center. There were 183 in-person attendees and 35 virtual attendees over four days. The theme of the workshop was “Enabling Integrated Science,” with the purpose of bringing together the community to discuss current topics, shared challenges, and steps for
Authors
Leslie Hsu, Vivian B. Hutchison, Madison L. Langseth, Benjamin Wheeler
Advancing marine biological observations and data requirements of the complementary Essential Ocean Variables (EOVs) and Essential Biodiversity Variables (EBVs) Frameworks
Measurements of the status and trends of key indicators for the ocean and marine life are required to inform policy and management in the context of growing human uses of marine resources, coastal development, and climate change. Two synergistic efforts identify specific priority variables for monitoring: Essential Ocean Variables (EOVs) through the Global Ocean Observing System (GOOS), and Essent
Authors
Frank E. Muller-Karger, Patricia Miloslavich, Nicholas Bax, Samantha E. Simmons, Mark John Costello, Isabel Sousa Pinto, Gabrielle Canonico, Woody Turner, Michael J. Gill, Enrique Montes, Benjamin D. Best, Jay Pearlman, Patrick N. Halpin, Daniel Dunn, Abigail L. Benson, Corinne S. Martin, Lauren Weatherdon, Ward Appeltans, Pieter Provoost, Eduardo Klein, Christopher R. Kelble, Robert J. Miller, Francisco P. Chavez, Katrin Iken, Sanae Chiba, David Obura, Laetitia M. Navarro, Henrique M. Pereira, Valerie Allain, Sonia Batten, Lisandro Benedetti-Checchi, J. Emmett Duffy, Raphael M. Kudela, Lisa-Maria Rebelo, Yunne Shin, Gary Geller
Patterns of species richness hotspots and estimates of their protection are sensitive to spatial resolution
AimSpecies richness is a measure of biodiversity often used in spatial conservation assessments and mapped by summing species distribution maps. Commission errors inherent those maps influence richness patterns and conservation assessments. We sought to further the understanding of the sensitivity of hotspot delineation methods and conservation assessments to commission errors, and choice of thres
Authors
Alexa McKerrow, Nathan M. Tarr, Matthew J. Rubino, Steven G. Williams
Enhancement of a parsimonious water balance model to simulate surface hydrology in a glacierized watershed
The U.S. Geological Survey monthly water balance model (MWBM) was enhanced with the capability to simulate glaciers in order to make it more suitable for simulating cold region hydrology. The new model, MWBMglacier, is demonstrated in the heavily glacierized and ecologically important Copper River watershed in Southcentral Alaska. Simulated water budget components compared well to satellite‐based
Authors
Melissa M. Valentin, Roland J. Viger, Ashley E. Van Beusekom, Lauren E. Hay, Terri S. Hogue, Nathan Leon Foks
U.S. Geological Survey science for the Wyoming Landscape Conservation Initiative—2016 annual report
This is the ninth annual report highlighting U.S. Geological Survey (USGS) science and decision-support activities conducted for the Wyoming Landscape Conservation Initiative (WLCI). The activities address specific management needs identified by WLCI partner agencies. In fiscal year (FY) 2016, there were 26 active USGS WLCI science-based projects. Of these 26 projects, one project was new for FY20
Authors
Zachary H. Bowen, Ellen Aikens, Cameron L. Aldridge, Patrick J. Anderson, Timothy J. Assal, Anna D. Chalfoun, Geneva W. Chong, Cheryl A. Eddy-Miller, Steven L. Garman, Steve Germaine, Collin G. Homer, Aaron N. Johnston, Matthew J. Kauffman, Daniel J. Manier, Cynthia P. Melcher, Kirk A. Miller, Annika W. Walters, Jerrod D. Wheeler, Daniel J. Wieferich, Anna B. Wilson, Teal B. Wyckoff, Linda Zeigenfuss
By
Ecosystems Mission Area, Water Resources Mission Area, Science Synthesis, Analysis and Research Program, Land Management Research Program, Science Analytics and Synthesis (SAS) Program, Species Management Research Program, Earth Resources Observation and Science (EROS) Center , Fort Collins Science Center, Geology, Geophysics, and Geochemistry Science Center, Northern Rocky Mountain Science Center, Wyoming-Montana Water Science Center
Can data from disparate long-term fish monitoring programs be used to increase our understanding of regional and continental trends in large river assemblages?
Understanding trends in the diverse resources provided by large rivers will help balance tradeoffs among stakeholders and inform strategies to mitigate the effects of landscape scale stressors such as climate change and invasive species. Absent a cohesive coordinated effort to assess trends in important large river resources, a logical starting point is to assess our ability to draw inferences fro
Authors
Timothy D. Counihan, Ian R. Waite, Andrew F. Casper, David L. Ward, Jennifer S. Sauer, Elise R. Irwin, Colin G. Chapman, Brian Ickes, Craig P. Paukert, John J. Kosovich, Jennifer M. Bayer
By
Ecosystems Mission Area, Water Resources Mission Area, Science Synthesis, Analysis and Research Program, Cooperative Research Units, Science Analytics and Synthesis (SAS) Program, Species Management Research Program, Oregon Water Science Center, Southwest Biological Science Center, Upper Midwest Water Science Center, Western Fisheries Research Center, Columbia River Research Laboratory (CRRL)
Development and release of phenological data products—A case study in compliance with federal open data policy
In Autumn 2015, USA National Phenology Network (USA-NPN) staff implemented new U.S. Geological Survey (USGS) data-management policies intended to ensure that the results of Federally funded research are made available to the public. The effort aimed both to improve USA-NPN data releases and to provide a model for similar programs within the USGS. This report provides an overview of the steps taken
Authors
Alyssa H. Rosemartin, Madison L. Langseth, Theresa Crimmins, Jake F. Weltzin
Solving a nomenclatural conundrum: Cernosvitovia crainensis (Mršić, 1989) and Aporrectodea macvensis Šapkarev in Mršić, 1991 (Lumbricidae)
This contribution deals with the names and authorship of two lumbricid taxa endemic to the Balkans (see Stojanović et al., this volume). Although their validity has never been questioned, it has been unclear up to now which publication has made these two species-group names available according to the rules of the International Code of Zoological Nomenclature (Articles in "the Code," ICZN 1999). In
Authors
David T. Nicolson, Csaba Csuzdi
The evolution, approval and implementation of the U.S. Geological Survey Science Data Lifecycle Model
This paper details how the United States Geological Survey (USGS) Community for Data Integration (CDI) Data Management Working Group developed a Science Data Lifecycle Model, and the role the Model plays in shaping agency-wide policies. Starting with an extensive literature review of existing data Lifecycle models, representatives from various backgrounds in USGS attended a two-day meeting where t
Authors
John Faundeen, Vivian B. Hutchison
Landscape context and the biophysical response of rivers to dam removal in the United States
Dams have been a fundamental part of the U.S. national agenda over the past two hundred years. Recently, however, dam removal has emerged as a strategy for addressing aging, obsolete infrastructure and more than 1,100 dams have been removed since the 1970s. However, only 130 of these removals had any ecological or geomorphic assessments, and fewer than half of those included before- and after-remo
Authors
Melissa M. Foley, Francis J. Magilligan, Christian E. Torgersen, Jon J. Major, Chauncey W. Anderson, Patrick J. Connolly, Daniel J. Wieferich, Patrick B. Shafroth, James E. Evans, Dana M. Infante, Laura Craig
By
Ecosystems Mission Area, Water Resources Mission Area, Science Synthesis, Analysis and Research Program, Science Analytics and Synthesis (SAS) Program, Forest and Rangeland Ecosystem Science Center, John Wesley Powell Center for Analysis and Synthesis, Oregon Water Science Center, Pacific Coastal and Marine Science Center
Mapping burned areas using dense time-series of Landsat data
Complete and accurate burned area data are needed to document patterns of fires, to quantify relationships between the patterns and drivers of fire occurrence, and to assess the impacts of fires on human and natural systems. Unfortunately, in many areas existing fire occurrence datasets are known to be incomplete. Consequently, the need to systematically collect burned area information has been re
Authors
Todd Hawbaker, Melanie K. Vanderhoof, Yen-Ju G. Beal, Joshua Takacs, Gail L. Schmidt, Jeff T. Falgout, Brad Williams, Nicole M. Brunner, Megan K. Caldwell, Joshua J. Picotte, Stephen M. Howard, Susan Stitt, John L. Dwyer