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Groundwater provides more than 40 percent of California’s drinking water. To protect this vital resource, the State of California created the Groundwater Ambient Monitoring and Assessment (GAMA) Program. The Priority Basin Project of the GAMA Program provides a comprehensive assessment of the State’s groundwater quality and increases public access to groundwater-quality information. The shallow aquifers of the groundwater basins around Monterey Bay, the Salinas Valley, and the highlands adjacent to the Salinas Valley constitute one of the study units.

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Director,
California Water Science Center
U.S. Geological Survey
6000 J Street, Placer Hall
Sacramento, California 95819
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Under our current changing climate, plants and animals must respond to rising sea levels, altered precipitation patterns, and increasing air and water temperatures and concentrations of greenhouse gases, including atmospheric carbon dioxide (CO2). While some species may adapt to changing conditions, these factors have the potential to drive latitudinal and elevational shifts in species distributions.
","language":"English","publisher":"Science Trends","doi":"10.31988/SciTrends.19206","usgsCitation":"Howard, R.J., 2018, How mangrove and salt marsh seedlings respond to CO2 and drought: Science Trends, HTML Document, https://doi.org/10.31988/SciTrends.19206.","productDescription":"HTML Document","ipdsId":"IP-098408","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":379920,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Howard, Rebecca J. 0000-0001-7264-4364 howardr@usgs.gov","orcid":"https://orcid.org/0000-0001-7264-4364","contributorId":2429,"corporation":false,"usgs":true,"family":"Howard","given":"Rebecca","email":"howardr@usgs.gov","middleInitial":"J.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":803450,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70198755,"text":"70198755 - 2018 - The role of environmental driving factors in historical and projected carbon dynamics of wetland ecosystems in Alaska","interactions":[],"lastModifiedDate":"2022-04-22T16:31:43.931967","indexId":"70198755","displayToPublicDate":"2018-05-29T10:07:39","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"The role of environmental driving factors in historical and projected carbon dynamics of wetland ecosystems in Alaska","docAbstract":"

Wetlands are critical terrestrial ecosystems in Alaska, covering ~177,000 km2, an area greater than all the wetlands in the remainder of the United States. To assess the relative influence of changing climate, atmospheric carbon dioxide (CO2) concentration, and fire regime on carbon balance in wetland ecosystems of Alaska, a modeling framework that incorporates a fire disturbance model and two biogeochemical models was used. Spatially explicit simulations were conducted at 1‐km resolution for the historical period (1950–2009) and future projection period (2010–2099). Simulations estimated that wetland ecosystems of Alaska lost 175 Tg carbon (C) in the historical period. Ecosystem C storage in 2009 was 5,556 Tg, with 89% of the C stored in soils. The estimated loss of C as CO2 and biogenic methane (CH4) emissions resulted in wetlands of Alaska increasing the greenhouse gas forcing of climate warming. Simulations for the projection period were conducted for six climate change scenarios constructed from two climate models forced under three CO2 emission scenarios. Ecosystem C storage averaged among climate scenarios increased 3.94 Tg C/yr by 2099, with variability among the simulations ranging from 2.02 to 4.42 Tg C/yr. These increases were driven primarily by increases in net primary production (NPP) that were greater than losses from increased decomposition and fire. The NPP increase was driven by CO2 fertilization (~5% per 100 parts per million by volume increase) and by increases in air temperature (~1% per °C increase). Increases in air temperature were estimated to be the primary cause for a projected 47.7% mean increase in biogenic CH4 emissions among the simulations (~15% per °C increase). Ecosystem CO2 sequestration offset the increase in CH4 emissions during the 21st century to decrease the greenhouse gas forcing of climate warming. However, beyond 2100, we expect that this forcing will ultimately increase as wetland ecosystems transition from being a sink to a source of atmospheric CO2 because of (1) decreasing sensitivity of NPP to increasing atmospheric CO2, (2) increasing availability of soil C for decomposition as permafrost thaws, and (3) continued positive sensitivity of biogenic CH4 emissions to increases in soil temperature.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.1755","usgsCitation":"Lyu, Z., Genet, H., He, Y., Zhuang, Q., McGuire, A.D., Bennett, A., Breen, A., Clein, J., Euskirchen, E.S., Johnson, K., Kurkowski, T., Pastick, N.J., Rupp, T.S., Wylie, B.K., and Zhu, Z., 2018, The role of environmental driving factors in historical and projected carbon dynamics of wetland ecosystems in Alaska: Ecological Applications, v. 28, no. 6, p. 1377-1395, https://doi.org/10.1002/eap.1755.","productDescription":"19 p.","startPage":"1377","endPage":"1395","ipdsId":"IP-091563","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":490053,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.osti.gov/biblio/1457077","text":"External 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The western slopes of Hawaii's Mauna Kea volcano are mantled by fine-grained soils, the record of volcanic airfall and eolian deposition. Where exposed, strong winds transport this sediment across West Hawaii, affecting tourism and local communities with decreased air and water quality. Operations on US Army's Ke'amuku Maneuver Area (KMA) have the potential to increase dust flux from these deposits. The USGS established 18 ground monitoring sites and sampling locations surrounding KMA. For over 3 years, each station measured vertical and horizontal dust flux, while co-located anemometers measured wind speed and direction. We used these datasets to develop a parsimonious regional model for dust supply and transport to assess whether KMA is a net dust sink or source.

We found that dust transport is most highly correlated with threshold wind speeds of 8 m/s. We used this value as the regional average threshold wind speed for dust entrainment. Using a model that partitions measured horizontal dust flux into inward- and outward-directed components, we estimate that KMA is currently a net dust sink. Geochemical analysis of dust samples illustrates that local organics and carbonate make up 64% of dust mass, the remainder being volcanic silt and fine sand. Measured vertical dust deposition rates of 0.006 mm/yr are similar to 0.004 mm/yr of deposition predicted from taking the divergence of dust across KMA's boundary. These rates are low compared with pre-historic rates of ~0.2–0.3 mm/yr, from radiocarbon dating of buried soils.

KMA's soils record persistent deposition over millennia, at rates that imply episodic dust storms. Such events created a soil-mantled landscape in the middle of a largely Pleistocene rocky landscape. A substantial portion of fine-grained soils in other leeward Hawaiian Island landscapes may have formed from similar eolian deposition, and not direct weathering of parent rock. Published 2018. This article is a U.S. Government work and is in the public domain in the USA.

","language":"English","publisher":"Wiley","doi":"10.1002/esp.4433","usgsCitation":"Douglas, M.M., Stock, J.D., Bishaw, K., Cerovski-Darriau, C., and Bedford, D., 2018, Dust on a Hawaiian volcano: A regional model using field measurements to estimate transport and deposition: Earth Surface Processes and Landforms, v. 43, no. 13, p. 2794-2807, https://doi.org/10.1002/esp.4433.","productDescription":"14 p.","startPage":"2794","endPage":"2807","ipdsId":"IP-089070","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":495600,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Mauna Kea","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -156.43611220977434,\n 20.37037201678426\n ],\n [\n -156.43611220977434,\n 18.704375414661897\n ],\n [\n -154.52622863370635,\n 18.704375414661897\n ],\n [\n -154.52622863370635,\n 20.37037201678426\n ],\n [\n -156.43611220977434,\n 20.37037201678426\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"43","issue":"13","noUsgsAuthors":false,"publicationDate":"2018-07-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Douglas, Madison M; 0000-0002-0762-4719","orcid":"https://orcid.org/0000-0002-0762-4719","contributorId":361469,"corporation":false,"usgs":false,"family":"Douglas","given":"Madison","middleInitial":"M;","affiliations":[{"id":86294,"text":"Caltech/USGS","active":true,"usgs":false}],"preferred":false,"id":948864,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stock, Jonathan D. 0000-0001-8565-3577 jstock@usgs.gov","orcid":"https://orcid.org/0000-0001-8565-3577","contributorId":3648,"corporation":false,"usgs":true,"family":"Stock","given":"Jonathan","email":"jstock@usgs.gov","middleInitial":"D.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":948865,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bishaw, Kai'ena; II","contributorId":361470,"corporation":false,"usgs":false,"family":"Bishaw","given":"Kai'ena;","suffix":"II","affiliations":[{"id":86297,"text":"Hawaii Cooperative Studies Unit, University of Hawaii","active":true,"usgs":false}],"preferred":false,"id":948866,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cerovski-Darriau, Corina 0000-0002-0543-0902","orcid":"https://orcid.org/0000-0002-0543-0902","contributorId":221159,"corporation":false,"usgs":true,"family":"Cerovski-Darriau","given":"Corina","email":"","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":948867,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bedford, David","contributorId":361471,"corporation":false,"usgs":true,"family":"Bedford","given":"David","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":948868,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70196565,"text":"tm7C18 - 2018 - User’s guide for MapMark4GUI—A graphical user interface for the MapMark4 R package","interactions":[],"lastModifiedDate":"2018-05-29T16:03:36","indexId":"tm7C18","displayToPublicDate":"2018-05-29T02:30:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"7-C18","title":"User’s guide for MapMark4GUI—A graphical user interface for the MapMark4 R package","docAbstract":"

MapMark4GUI is an R graphical user interface (GUI) developed by the U.S. Geological Survey to support user implementation of the MapMark4 R statistical software package. MapMark4 was developed by the U.S. Geological Survey to implement probability calculations for simulating undiscovered mineral resources in quantitative mineral resource assessments. The GUI provides an easy-to-use tool to input data, run simulations, and format output results for the MapMark4 package. The GUI is written and accessed in the R statistical programming language. This user’s guide includes instructions on installing and running MapMark4GUI and descriptions of the statistical output processes, output files, and test data files.

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Eastern Mineral and Environmental Resources Science Center
U.S. Geological Survey
954 Mail Stop 12201 Sunrise Valley Drive
Reston, VA 20192

","tableOfContents":"","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2018-05-29","noUsgsAuthors":false,"publicationDate":"2018-05-29","publicationStatus":"PW","scienceBaseUri":"5b155d76e4b092d9651e1b1e","contributors":{"authors":[{"text":"Shapiro, Jason L. 0000-0002-7641-9735","orcid":"https://orcid.org/0000-0002-7641-9735","contributorId":204311,"corporation":false,"usgs":true,"family":"Shapiro","given":"Jason L.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":736430,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70197138,"text":"fs20183031 - 2018 - Klamath River Basin water-quality data","interactions":[],"lastModifiedDate":"2018-05-30T13:03:14","indexId":"fs20183031","displayToPublicDate":"2018-05-29T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-3031","title":"Klamath River Basin water-quality data","docAbstract":"

The Klamath River Basin stretches from the mountains and inland basins of south-central Oregon and northern California to the Pacific Ocean, spanning multiple climatic regions and encompassing a variety of ecosystems. Water quantity and water quality are important topics in the basin, because water is a critical resource for farming and municipal use, power generation, and for the support of wildlife, aquatic ecosystems, and endangered species. Upper Klamath Lake is the largest freshwater lake in Oregon (112 square miles) and is known for its seasonal algal blooms. The Klamath River has dams for hydropower and the upper basin requires irrigation water to support agriculture and grazing. Multiple species of endangered fish inhabit the rivers and lakes, and the marshes are key stops on the Pacific flyway for migrating birds. For these and other reasons, the water resources in this basin have been studied and monitored to support their management distribution.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20183031","usgsCitation":"Smith, C.D., Rounds, S.A., and Orzol, L.L., 2018, Klamath River Basin water-quality data: U.S. Geological Survey Fact Sheet 2018-3031, 4 p., https://doi.org/10.3133/fs20183031.","productDescription":"4 p.","onlineOnly":"Y","ipdsId":"IP-096068","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":354491,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2018/3031/fs20183031.pdf","text":"Report","size":"621 KB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2018-3031"},{"id":354490,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2018/3031/coverthb.jpg"}],"country":"United States","state":"California, Oregon","otherGeospatial":"Klamath River Basin","contact":"

Director, Oregon Water Science Center
U.S. Geological Survey
2130 SW 5th Avenue
Portland, Oregon 97201

","tableOfContents":"","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2018-05-29","noUsgsAuthors":false,"publicationDate":"2018-05-29","publicationStatus":"PW","scienceBaseUri":"5b155d77e4b092d9651e1b28","contributors":{"compilers":[{"text":"Sobieszczyk, Steven 0000-0002-0834-8437 ssobie@usgs.gov","orcid":"https://orcid.org/0000-0002-0834-8437","contributorId":885,"corporation":false,"usgs":true,"family":"Sobieszczyk","given":"Steven","email":"ssobie@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":736520,"contributorType":{"id":3,"text":"Compilers"},"rank":1}],"authors":[{"text":"Smith, Cassandra D. 0000-0003-1088-1772 cassandrasmith@usgs.gov","orcid":"https://orcid.org/0000-0003-1088-1772","contributorId":205220,"corporation":false,"usgs":true,"family":"Smith","given":"Cassandra","email":"cassandrasmith@usgs.gov","middleInitial":"D.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":735790,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rounds, Stewart A. 0000-0002-8540-2206 sarounds@usgs.gov","orcid":"https://orcid.org/0000-0002-8540-2206","contributorId":905,"corporation":false,"usgs":true,"family":"Rounds","given":"Stewart","email":"sarounds@usgs.gov","middleInitial":"A.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":735789,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Orzol, Leonard L. 0000-0001-7585-4295 llorzol@usgs.gov","orcid":"https://orcid.org/0000-0001-7585-4295","contributorId":4561,"corporation":false,"usgs":true,"family":"Orzol","given":"Leonard","email":"llorzol@usgs.gov","middleInitial":"L.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":735791,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70197322,"text":"70197322 - 2018 - Reduction of solids and nutrient loss from agricultural land by tailwater recovery systems","interactions":[],"lastModifiedDate":"2018-05-29T14:59:45","indexId":"70197322","displayToPublicDate":"2018-05-29T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2456,"text":"Journal of Soil and Water Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Reduction of solids and nutrient loss from agricultural land by tailwater recovery systems","docAbstract":"

Best management practices are being implemented throughout the Lower Mississippi River Alluvial Valley with the aim of alleviating pressures placed on downstream aquatic systems by sediment and nutrient losses from agricultural land; however, research evaluating the performance of tailwater recovery (TWR) systems, an increasingly important practice, is limited. This study evaluated the ability of TWR systems to retain sediment and nutrients draining from agricultural landscapes. Composite flow-based samples were collected during flow events (precipitation or irrigation) over a two-year period in six TWR systems. Performance was evaluated by comparing concentrations and loads in water entering TWR systems (i.e., runoff or influent) from agricultural fields to water overflow exiting TWR systems (effluent). Tailwater recovery systems did not reduce concentrations of solids and nutrients, but did reduce loads of solids, phosphorus (P), and nitrogen (N) by 43%, 32%, and 44%, respectively. Annual mean load reductions were 1,142 kg solids, 0.7 kg of P, and 3.8 kg of N. Performance of TWR systems was influenced by effluent volume, system fullness, time since the previous event, and capacity of the TWR system. Mechanistically, TWR systems retain runoff on the agricultural landscape, thereby reducing the amount of sediment and nutrients entering downstream waterbodies. System performance can be improved through manipulation of influential parameters.

","language":"English","publisher":"Soil and Water Conservation Society","doi":"10.2489/jswc.73.3.284","usgsCitation":"Omer, A., Miranda, L.E., Moore, M.T., Krutz, L.J., Prince Czarnecki, J.M., Kroger, R., Baker, B.H., Hogue, J., and Allen, P.J., 2018, Reduction of solids and nutrient loss from agricultural land by tailwater recovery systems: Journal of Soil and Water Conservation, v. 73, no. 3, p. 284-297, https://doi.org/10.2489/jswc.73.3.284.","productDescription":"14 p.","startPage":"284","endPage":"297","ipdsId":"IP-082314","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":354537,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"73","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-05-03","publicationStatus":"PW","scienceBaseUri":"5b155d76e4b092d9651e1b20","contributors":{"authors":[{"text":"Omer, A.R.","contributorId":200190,"corporation":false,"usgs":false,"family":"Omer","given":"A.R.","email":"","affiliations":[{"id":35483,"text":"Department of Wildlife, Fisheries, and Aquaculture, Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":736652,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miranda, Leandro E. 0000-0002-2138-7924 smiranda@usgs.gov","orcid":"https://orcid.org/0000-0002-2138-7924","contributorId":531,"corporation":false,"usgs":true,"family":"Miranda","given":"Leandro","email":"smiranda@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":736648,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moore, M. T.","contributorId":205247,"corporation":false,"usgs":false,"family":"Moore","given":"M.","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":736653,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Krutz, L. J.","contributorId":169421,"corporation":false,"usgs":false,"family":"Krutz","given":"L.","email":"","middleInitial":"J.","affiliations":[{"id":25507,"text":"USDA, Stoneville, MS","active":true,"usgs":false}],"preferred":false,"id":736654,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Prince Czarnecki, J. M.","contributorId":205248,"corporation":false,"usgs":false,"family":"Prince Czarnecki","given":"J.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":736655,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kroger, R.","contributorId":205249,"corporation":false,"usgs":false,"family":"Kroger","given":"R.","email":"","affiliations":[],"preferred":false,"id":736656,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Baker, B. H.","contributorId":205250,"corporation":false,"usgs":false,"family":"Baker","given":"B.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":736657,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hogue, J.","contributorId":205251,"corporation":false,"usgs":false,"family":"Hogue","given":"J.","email":"","affiliations":[],"preferred":false,"id":736658,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Allen, P. J.","contributorId":205252,"corporation":false,"usgs":false,"family":"Allen","given":"P.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":736659,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70196864,"text":"ds1084 - 2018 - Concentrations of nitrate in drinking water in the lower Yakima River Basin, Groundwater Management Area, Yakima County, Washington, 2017","interactions":[],"lastModifiedDate":"2018-05-30T13:13:58","indexId":"ds1084","displayToPublicDate":"2018-05-29T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"1084","title":"Concentrations of nitrate in drinking water in the lower Yakima River Basin, Groundwater Management Area, Yakima County, Washington, 2017","docAbstract":"

The U.S. Geological Survey, in cooperation with the lower Yakima River Basin Groundwater Management Area (GWMA) group, conducted an intensive groundwater sampling collection effort of collecting nitrate concentration data in drinking water to provide a baseline for future nitrate assessments within the GWMA. About every 6 weeks from April through December 2017, a total of 1,059 samples were collected from 156 wells and 24 surface-water drains. The domestic wells were selected based on known location, completion depth, ability to collect a sample prior to treatment on filtration, and distribution across the GWMA. The drains were pre-selected by the GWMA group, and further assessed based on ability to access sites and obtain a representative sample.

More than 20 percent of samples from the domestic wells and 12.8 percent of drain samples had nitrate concentrations that exceeded the maximum contaminant level (MCL) of 10 milligrams per liter established by the U.S. Environmental Protection Agency. At least one nitrate concentration above the MCL was detected in 26 percent of wells and 33 percent of drains sampled. Nitrate was not detected in 13 percent of all samples collected.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds1084","collaboration":"Prepared in cooperation with Yakima County, Washington, for the Lower Yakima River Basin Groundwater Management Area","usgsCitation":"Huffman, R.L., 2018, Concentrations of nitrate in drinking water in the lower Yakima River Basin, Groundwater Management Area, Yakima County, Washington, 2017: U.S. Geological Survey Data Series 1084, 18 p., https://doi.org/10.3133/ds1084.","productDescription":"v, 18 p.","numberOfPages":"28","onlineOnly":"Y","ipdsId":"IP-095600","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":354540,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/1084/ds1084.pdf","text":"Report","size":"2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DS 1084"},{"id":354539,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/1084/coverthb.jpg"}],"country":"United States","state":"Washington","county":"Yakima County","otherGeospatial":"Lower Yakima River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.5,\n 46.1667\n ],\n [\n -119.8333,\n 46.1667\n ],\n [\n -119.8333,\n 46.56452573114373\n ],\n [\n -120.5,\n 46.56452573114373\n ],\n [\n -120.5,\n 46.1667\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Washington Water Science Center
U.S. Geological Survey
934 Broadway, Suite 300
Tacoma, Washington 98402

","tableOfContents":"","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2018-05-29","noUsgsAuthors":false,"publicationDate":"2018-05-29","publicationStatus":"PW","scienceBaseUri":"5b155d77e4b092d9651e1b2a","contributors":{"authors":[{"text":"Huffman, Raegan L. 0000-0001-8523-5439 rhuffman@usgs.gov","orcid":"https://orcid.org/0000-0001-8523-5439","contributorId":1638,"corporation":false,"usgs":true,"family":"Huffman","given":"Raegan","email":"rhuffman@usgs.gov","middleInitial":"L.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":734806,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70197300,"text":"70197300 - 2018 - Placing the Common Era in a Holocene context: Millennial to centennial patterns and trends in the hydroclimate of North America over the past 2000 years","interactions":[],"lastModifiedDate":"2020-09-01T20:28:07.991747","indexId":"70197300","displayToPublicDate":"2018-05-29T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1250,"text":"Climate of the Past","active":true,"publicationSubtype":{"id":10}},"title":"Placing the Common Era in a Holocene context: Millennial to centennial patterns and trends in the hydroclimate of North America over the past 2000 years","docAbstract":"A synthesis of 93 hydrologic records from across North and Central America, and adjacent tropical and Arctic islands, reveals centennial to millennial trends in the regional hydroclimates of the Common Era (CE; past 2000 years). The hydrological records derive from materials stored in lakes, bogs, caves, and ice from extant glaciers, which have the continuity through time to preserve low-frequency ( > 100 year) climate signals that may extend deeper into the Holocene. The most common pattern, represented in 46 (49 %) of the records, indicates that the centuries before 1000 CE were drier than the centuries since that time. Principal component analysis indicates that millennial-scale trends represent the dominant pattern of variance in the southwestern US, northeastern US, mid-continent, Pacific Northwest, Arctic, and tropics, although not all records within a region show the same direction of change. The Pacific Northwest and the southernmost tier of the tropical sites tended to dry toward present, as many other areas became wetter than before. In 22 records (24 %), the Medieval Climate Anomaly period (800–1300 CE) was drier than the Little Ice Age (1400–1900 CE), but in many cases the difference was part of the longer millennial-scale trend, and, in 25 records (27 %), the Medieval Climate Anomaly period represented a pluvial (wet) phase. Where quantitative records permitted a comparison, we found that centennial-scale fluctuations over the Common Era represented changes of 3–7 % in the modern interannual range of variability in precipitation, but the accumulation of these long-term trends over the entirety of the Holocene caused recent centuries to be significantly wetter, on average, than most of the past 11 000 years.","language":"English","publisher":"Copernicus Publications","doi":"10.5194/cp-14-665-2018","usgsCitation":"Shuman, B., Routson, C.C., McKay, N., Fritz, S., Kaufman, D.S., Kirby, M., Nolan, C., Pederson, G.T., and St. Jacques, J., 2018, Placing the Common Era in a Holocene context: Millennial to centennial patterns and trends in the hydroclimate of North America over the past 2000 years: Climate of the Past, v. 14, no. 5, p. 665-686, https://doi.org/10.5194/cp-14-665-2018.","productDescription":"32 p.","startPage":"665","endPage":"686","ipdsId":"IP-085003","costCenters":[{"id":481,"text":"Northern Rocky 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PSC"},"noUsgsAuthors":false,"publicationDate":"2018-05-28","publicationStatus":"PW","scienceBaseUri":"5b155d76e4b092d9651e1b22","contributors":{"authors":[{"text":"Shuman, Bryan","contributorId":205232,"corporation":false,"usgs":false,"family":"Shuman","given":"Bryan","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":736582,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Routson, Cody C. 0000-0001-8694-7809","orcid":"https://orcid.org/0000-0001-8694-7809","contributorId":187600,"corporation":false,"usgs":false,"family":"Routson","given":"Cody","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":736583,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McKay, Nicholas P.","contributorId":187602,"corporation":false,"usgs":false,"family":"McKay","given":"Nicholas P.","affiliations":[],"preferred":false,"id":736584,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fritz, Sherilyn","contributorId":205233,"corporation":false,"usgs":false,"family":"Fritz","given":"Sherilyn","affiliations":[{"id":36892,"text":"University of Nebraska","active":true,"usgs":false}],"preferred":false,"id":736585,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kaufman, Darrell S.","contributorId":192787,"corporation":false,"usgs":false,"family":"Kaufman","given":"Darrell","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":736586,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kirby, Matthew","contributorId":140654,"corporation":false,"usgs":false,"family":"Kirby","given":"Matthew","affiliations":[{"id":13544,"text":"California State University, Fullerton","active":true,"usgs":false}],"preferred":false,"id":736587,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nolan, Connor","contributorId":197051,"corporation":false,"usgs":false,"family":"Nolan","given":"Connor","affiliations":[],"preferred":false,"id":736588,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pederson, Gregory T. 0000-0002-6014-1425 gpederson@usgs.gov","orcid":"https://orcid.org/0000-0002-6014-1425","contributorId":3106,"corporation":false,"usgs":true,"family":"Pederson","given":"Gregory","email":"gpederson@usgs.gov","middleInitial":"T.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":736581,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"St. Jacques, Jeannine-Marie","contributorId":205234,"corporation":false,"usgs":false,"family":"St. Jacques","given":"Jeannine-Marie","email":"","affiliations":[{"id":6586,"text":"Concordia University","active":true,"usgs":false}],"preferred":false,"id":736589,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70197296,"text":"70197296 - 2018 - Fish community responses to submerged aquatic vegetation in Maumee Bay, Western Lake Erie","interactions":[],"lastModifiedDate":"2018-07-03T11:15:54","indexId":"70197296","displayToPublicDate":"2018-05-29T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Fish community responses to submerged aquatic vegetation in Maumee Bay, Western Lake Erie","docAbstract":"Submerged aquatic vegetation (SAV) in clearwater systems simultaneously provides habitat for invertebrate prey and acts as refugia for small fishes. Many fishes in Lake Erie rely on shallow, heavily vegetated bays as spawning grounds and the loss or absence of which is known to reduce recruitment in other systems. The Maumee River and Maumee Bay, which once had abundant macrophyte beds, have experienced a decline of SAV and an increase in suspended solids (turbidity) over the last century due to numerous causes. To compare fish communities in open‐water (turbid) and in SAV (clearer water) habitats in this region, which is designated by the U.S. Environmental Protection Agency as an Area of Concern, and to indicate community changes that could occur with expansion of SAV habitat, we sampled a 300‐ha sector of northern Maumee Bay that contained both habitats. Using towed neuston nets through patches of each habitat, we determined that areas of SAV contained more species and a different species complex (based on the Jaccard index and the wetland fish index), than did the open‐water habitat (averaging 8.6 versus 5 species per net trawl). The SAV habitat was dominated by centrarchids, namely Largemouth Bass Micropterus salmoides, Bluegill Lepomis macrochirus, and Black Crappie Pomoxis nigromaculatus. Open‐water habitat was dominated by Spottail Shiner Notropis hudsonius, Gizzard Shad Dorosoma cepedianum, and White Perch Morone americana, an invasive species. These results indicate that restoration efforts aimed at decreasing turbidity and increasing the distribution of SAV could cause substantive shifts in the fish community and address important metrics for assessing the beneficial use impairments in this Area of Concern.","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.10061","usgsCitation":"Miller, J., Kocovsky, P., Wiegmann, D., and Miner, J.G., 2018, Fish community responses to submerged aquatic vegetation in Maumee Bay, Western Lake Erie: North American Journal of Fisheries Management, v. 38, no. 3, p. 623-629, https://doi.org/10.1002/nafm.10061.","productDescription":"7 p.","startPage":"623","endPage":"629","ipdsId":"IP-078053","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":354518,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United Stats","state":"Michigan, Ohio","otherGeospatial":"Maumee Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.48227500915527,\n 41.73039410466992\n ],\n [\n -83.42562675476074,\n 41.73039410466992\n ],\n [\n -83.42562675476074,\n 41.76657451658189\n ],\n [\n -83.48227500915527,\n 41.76657451658189\n ],\n [\n -83.48227500915527,\n 41.73039410466992\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"38","issue":"3","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2018-03-25","publicationStatus":"PW","scienceBaseUri":"5b155d76e4b092d9651e1b26","contributors":{"authors":[{"text":"Miller, Jacob","contributorId":205222,"corporation":false,"usgs":false,"family":"Miller","given":"Jacob","email":"","affiliations":[{"id":13587,"text":"Bowling Green State University","active":true,"usgs":false}],"preferred":false,"id":736569,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kocovsky, Patrick 0000-0003-4325-4265 pkocovsky@usgs.gov","orcid":"https://orcid.org/0000-0003-4325-4265","contributorId":150837,"corporation":false,"usgs":true,"family":"Kocovsky","given":"Patrick","email":"pkocovsky@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":736568,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wiegmann, Daniel","contributorId":205224,"corporation":false,"usgs":false,"family":"Wiegmann","given":"Daniel","email":"","affiliations":[{"id":13587,"text":"Bowling Green State University","active":true,"usgs":false}],"preferred":false,"id":736571,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miner, Jeffery G.","contributorId":150965,"corporation":false,"usgs":false,"family":"Miner","given":"Jeffery","email":"","middleInitial":"G.","affiliations":[{"id":13587,"text":"Bowling Green State University","active":true,"usgs":false}],"preferred":false,"id":736570,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70197299,"text":"70197299 - 2018 - Substrate and flow characteristics associated with White Sturgeon recruitment in the Columbia River Basin","interactions":[],"lastModifiedDate":"2018-05-29T11:39:20","indexId":"70197299","displayToPublicDate":"2018-05-29T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5211,"text":"Heliyon","active":true,"publicationSubtype":{"id":10}},"title":"Substrate and flow characteristics associated with White Sturgeon recruitment in the Columbia River Basin","docAbstract":"A study was conducted to identify habitat characteristics associated with age 0+ White Sturgeon (Acipenser transmontanus Richardson, 1863) recruitment in three reaches of the Columbia River Basin: Skamania reach (consistent recruitment), John Day reach (intermittent/inconsistent recruitment), and Kootenai reach (no recruitment). Our modeling approach involved numerous steps. First, we collected information about substrate, embeddedness, and hydrodynamics in each reach. Second, we developed a set of spatially explicit predictor variables. Third, we built two habitat (probability) models with Skamania reach training data where White Sturgeon recruitment was consistent. Fourth, we created spawning maps of each reach by populating the habitat models with in-reach physical metrics (substrate, embeddedness, and hydrodynamics). Fifth, we examined model accuracy by overlaying spawning locations in Skamania and Kootenai reaches with habitat predictions obtained from probability models. Sixth, we simulated how predicted habitat changed in each reach after manipulating physical conditions to more closely match Skamania reach. Model verification confirmed White Sturgeon generally spawned in locations with higher model probabilities in Skamania and Kootenai reaches, indicating the utility of extrapolating the models. Model simulations revealed significant gains in White Sturgeon habitat in all reaches when spring flow increased, gravel/cobble composition increased, or embeddedness decreased. The habitat models appear well suited to assist managers when identifying reach-specific factors limiting White Sturgeon recruitment in the Columbia River Basin or throughout its range.","language":"English","publisher":"Elsevier","doi":"10.1016/j.heliyon.2018.e00629","usgsCitation":"Hatten, J.R., Parsley, M., Barton, G., Batt, T., and Fosness, R.L., 2018, Substrate and flow characteristics associated with White Sturgeon recruitment in the Columbia River Basin: Heliyon, v. 4, no. 5, e00629; 28 p., https://doi.org/10.1016/j.heliyon.2018.e00629.","productDescription":"e00629; 28 p.","ipdsId":"IP-090113","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":468726,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.heliyon.2018.e00629","text":"Publisher Index Page"},{"id":354516,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Montana, Oregon, Washington","otherGeospatial":"Columbia River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.94775390625,\n 45.120052841530544\n ],\n [\n -114.01611328125,\n 45.120052841530544\n ],\n [\n -114.01611328125,\n 49.32512199104001\n ],\n [\n -123.94775390625,\n 49.32512199104001\n ],\n [\n -123.94775390625,\n 45.120052841530544\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"4","issue":"5","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b155d76e4b092d9651e1b24","contributors":{"authors":[{"text":"Hatten, James R. 0000-0003-4676-8093 jhatten@usgs.gov","orcid":"https://orcid.org/0000-0003-4676-8093","contributorId":3431,"corporation":false,"usgs":true,"family":"Hatten","given":"James","email":"jhatten@usgs.gov","middleInitial":"R.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":736576,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Parsley, Michael 0000-0003-0097-6364 mparsley@usgs.gov","orcid":"https://orcid.org/0000-0003-0097-6364","contributorId":205229,"corporation":false,"usgs":true,"family":"Parsley","given":"Michael","email":"mparsley@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":736577,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barton, Gary gbarton@usgs.gov","contributorId":205230,"corporation":false,"usgs":true,"family":"Barton","given":"Gary","email":"gbarton@usgs.gov","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":736578,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Batt, Thomas","contributorId":205231,"corporation":false,"usgs":false,"family":"Batt","given":"Thomas","affiliations":[{"id":37060,"text":"No longer with USGS but using USGS WFRC affiliation on MS","active":true,"usgs":false}],"preferred":false,"id":736579,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fosness, Ryan L. 0000-0003-4089-2704 rfosness@usgs.gov","orcid":"https://orcid.org/0000-0003-4089-2704","contributorId":2703,"corporation":false,"usgs":true,"family":"Fosness","given":"Ryan","email":"rfosness@usgs.gov","middleInitial":"L.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":736580,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70220881,"text":"70220881 - 2018 - USGS critical minerals review","interactions":[],"lastModifiedDate":"2021-05-27T13:04:08.7805","indexId":"70220881","displayToPublicDate":"2018-05-27T08:02:09","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2755,"text":"Mining Engineering","active":true,"publicationSubtype":{"id":10}},"title":"USGS critical minerals review","docAbstract":"

The United States’ supply of critical minerals has been a concern and a source of potential strategic vulnerabilities for U.S. economic and national security interests for decades (for example, see Strategic and Critical Minerals Stockpiling Act, 1939). More recently, with the rapid increase in the types of materials being used in advanced technologies (Fortier et al. 2018a), and geopolitical events surrounding the supply of rare earth elements (Ting and Seaman, 2013), among other developments, the critical minerals issue has again achieved a high level of visibility within the U.S. government (Executive Order 13817 (2017)). 

","language":"English","publisher":"Society of Mining, Metallurgy, and Exploration","usgsCitation":"Fortier, S.M., Hammarstrom, J.M., Ryker, S.J., Day, W.C., and Seal, R.R., 2018, USGS critical minerals review: Mining Engineering, v. 71, no. 5, p. 35-35.","productDescription":"1 p.","startPage":"35","endPage":"35","ipdsId":"IP-128156","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":385999,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":385998,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://me.smenet.org/abstract.cfm?preview=1&articleID=8926"}],"volume":"71","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Fortier, Steven M. 0000-0001-8123-5749","orcid":"https://orcid.org/0000-0001-8123-5749","contributorId":202406,"corporation":false,"usgs":true,"family":"Fortier","given":"Steven","email":"","middleInitial":"M.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":816555,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hammarstrom, Jane M. 0000-0003-2742-3460 jhammars@usgs.gov","orcid":"https://orcid.org/0000-0003-2742-3460","contributorId":1226,"corporation":false,"usgs":true,"family":"Hammarstrom","given":"Jane","email":"jhammars@usgs.gov","middleInitial":"M.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":816560,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ryker, Sarah J. 0000-0002-1004-5611 sryker@usgs.gov","orcid":"https://orcid.org/0000-0002-1004-5611","contributorId":4100,"corporation":false,"usgs":true,"family":"Ryker","given":"Sarah","email":"sryker@usgs.gov","middleInitial":"J.","affiliations":[{"id":505,"text":"Office of the AD Climate and Land-Use Change","active":true,"usgs":true}],"preferred":true,"id":816557,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Day, Warren C. 0000-0002-9278-2120 wday@usgs.gov","orcid":"https://orcid.org/0000-0002-9278-2120","contributorId":1308,"corporation":false,"usgs":true,"family":"Day","given":"Warren","email":"wday@usgs.gov","middleInitial":"C.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":816561,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Seal, Robert R. 0000-0002-0993-1499 rseal@usgs.gov","orcid":"https://orcid.org/0000-0002-0993-1499","contributorId":258824,"corporation":false,"usgs":true,"family":"Seal","given":"Robert","email":"rseal@usgs.gov","middleInitial":"R.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":816562,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70220876,"text":"70220876 - 2018 - North American net import reliance of mineral materials in 2014 for advanced technologies","interactions":[],"lastModifiedDate":"2021-05-27T15:06:03.048913","indexId":"70220876","displayToPublicDate":"2018-05-27T07:55:45","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2755,"text":"Mining Engineering","active":true,"publicationSubtype":{"id":10}},"title":"North American net import reliance of mineral materials in 2014 for advanced technologies","docAbstract":"

The U.S. Geological Survey and Natural Resources Canada conducted a study on the net import reliance of each North American country, and the impact of North American trade on the net import reliance of 12 nonfuel mineral commodities that are associated with advanced technology products: cadmium, cobalt, gallium, germanium, graphite, indium, lithium, nickel, rare earth elements, selenium, silver and tellurium. The combined results for North America, using 2014 data, showed greatly reduced net import reliance for nearly all of the commodities evaluated, which is largely the result of pooling the resources of production and recovery in Canada and Mexico of materials that are consumed in the United States. This study highlights the mitigation of potential supply risk for critical materials that results from trade within the North American trade bloc.

","language":"English","publisher":"Society for Mining, Metallurgy and Exploration","doi":"10.19150/ME.8365","usgsCitation":"Brainard, J.L., Sinclair, R.G., Stone, K., Scott Sangine, E., and Fortier, S.M., 2018, North American net import reliance of mineral materials in 2014 for advanced technologies: Mining Engineering, v. 70, no. 7, p. 107-112, https://doi.org/10.19150/ME.8365.","productDescription":"6 p.","startPage":"107","endPage":"112","ipdsId":"IP-093464","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":468728,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.19150/me.8365","text":"Publisher Index Page"},{"id":385997,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"70","issue":"7","noUsgsAuthors":false,"publicationDate":"2018-07-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Brainard, Jamie L. 0000-0002-1712-0821","orcid":"https://orcid.org/0000-0002-1712-0821","contributorId":201465,"corporation":false,"usgs":true,"family":"Brainard","given":"Jamie","middleInitial":"L.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":816542,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sinclair, Robert G","contributorId":258817,"corporation":false,"usgs":false,"family":"Sinclair","given":"Robert","email":"","middleInitial":"G","affiliations":[{"id":7219,"text":"Natural Resources Canada","active":true,"usgs":false}],"preferred":false,"id":816543,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stone, Kevin","contributorId":258818,"corporation":false,"usgs":false,"family":"Stone","given":"Kevin","email":"","affiliations":[{"id":7219,"text":"Natural Resources Canada","active":true,"usgs":false}],"preferred":false,"id":816544,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Scott Sangine, Elizabeth 0000-0003-4768-633X","orcid":"https://orcid.org/0000-0003-4768-633X","contributorId":207884,"corporation":false,"usgs":true,"family":"Scott Sangine","given":"Elizabeth","email":"","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":816545,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fortier, Steven M. 0000-0001-8123-5749","orcid":"https://orcid.org/0000-0001-8123-5749","contributorId":202406,"corporation":false,"usgs":true,"family":"Fortier","given":"Steven","email":"","middleInitial":"M.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":816546,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70198761,"text":"70198761 - 2018 - Range expansion in unfavorable environments through behavioral responses to microclimatic conditions: Moose (Alces americanus) as the model","interactions":[],"lastModifiedDate":"2018-11-21T15:20:48","indexId":"70198761","displayToPublicDate":"2018-05-26T10:48:16","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2653,"text":"Mammalian Biology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Range expansion in unfavorable environments through behavioral responses to microclimatic conditions: Moose (Alces americanus) as the model","title":"Range expansion in unfavorable environments through behavioral responses to microclimatic conditions: Moose (Alces americanus) as the model","docAbstract":"

Wildlife populations occurring at the edge of their range boundaries are thought to be the most sensitive to climate change due to temperatures being at or near the limit of a species’ thermal envelope. Moose (Alces americanus) are a cold adapted species that are showing population declines in some portions of the southern edge of their range. However, other moose populations are actively expanding southward into thermally stressful areas. The direct effects of temperature on moose have not yet been studied in these southwardly expanding populations and may offer insights into how moose are successfully establishing in areas at the edge of their thermal envelope. We used ambient temperature and GPScollar data from moose to quantify the direct effect of temperature on moose habitat use in Massachusetts, USA, which is one of these southwardly expanding populations. The mean daily temperature in our study area exceeded the reported physiological tolerances of moose in over 90% of daytime and 75% of nighttime locations in summer and in over 80% of daytime and 67% of nighttime locations in winter. Across seasons and times of day, moose preferred regenerating forest, but as ambient air temperatures increased, selection for regenerating forest declined and selection for forested wetlands and coniferous forestincreased. This response indicates moose are altering their behavior to utilize thermal shelters when temperatures are high. We observed higher temperatures and stronger behavioral responses than other studies at the southern edge of moose range. We found habitat for moose in Massachusetts is climatically marginal and loss of habitat, increase in parasites, and further climatic warming may cause population declines in the future.

","language":"English","publisher":"Elsevier ","doi":"10.1016/j.mambio.2018.05.009","usgsCitation":"Zeller, K.A., Wattles, D.W., and DeStefano, S., 2018, Range expansion in unfavorable environments through behavioral responses to microclimatic conditions: Moose (Alces americanus) as the model: Mammalian Biology, v. 93, p. 189-197, https://doi.org/10.1016/j.mambio.2018.05.009.","productDescription":"9 p.","startPage":"189","endPage":"197","ipdsId":"IP-096685","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":356622,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"93","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b98a2bbe4b0702d0e842fd1","contributors":{"authors":[{"text":"Zeller, Katherine A.","contributorId":204574,"corporation":false,"usgs":false,"family":"Zeller","given":"Katherine","email":"","middleInitial":"A.","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":742886,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wattles, David W.","contributorId":204573,"corporation":false,"usgs":false,"family":"Wattles","given":"David","email":"","middleInitial":"W.","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":742885,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeStefano, Stephen 0000-0003-2472-8373 destef@usgs.gov","orcid":"https://orcid.org/0000-0003-2472-8373","contributorId":166706,"corporation":false,"usgs":true,"family":"DeStefano","given":"Stephen","email":"destef@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":742884,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70205809,"text":"70205809 - 2018 - Using turbidity measurements to estimate total phosphorus and sediment flux in a Great Lakes coastal wetland","interactions":[],"lastModifiedDate":"2019-10-07T10:06:30","indexId":"70205809","displayToPublicDate":"2018-05-26T09:56:26","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Using turbidity measurements to estimate total phosphorus and sediment flux in a Great Lakes coastal wetland","docAbstract":"Coastal wetlands around the Laurentian Great Lakes in North America have the potential to intercept surface water coming off of the landscape and reduce the amount of nutrients and sediment entering the lakes. However, extensive coastal wetland areas have been isolated behind dikes and thus have limited interaction with nutrient-rich waters that contribute to harmful algal blooms and other water-quality issues. In this study, we developed a method to use high-frequency measurements of discharge and turbidity to estimate sediment and total phosphorus retention in a hydrologically reconnected coastal wetland. We found sediment and total phosphorus retention to be episodic and highly related to fluctuations in water level. Low water levels in Lake Erie in late 2012 resulted in low retention in the wetland, but sediment and total phosphorus retention increased as water levels rose in the first half of 2013. Overall, the reconnected wetland was a sink for both total phosphorus and suspended sediment and locally reduced phosphorus loading rates to Lake Erie. Additional wetland reconnection projects have the potential to further reduce phosphorus and sediment loading rates, which could improve local water quality and ecosystem health.","language":"English","publisher":"Springer","doi":"10.1007/s13157-018-1044-3","usgsCitation":"Baustian, J.J., Kowalski, K., and Czayka, A., 2018, Using turbidity measurements to estimate total phosphorus and sediment flux in a Great Lakes coastal wetland: Wetlands, v. 5, no. 38, p. 1059-1065, https://doi.org/10.1007/s13157-018-1044-3.","productDescription":"7 p.","startPage":"1059","endPage":"1065","ipdsId":"IP-085004","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":368031,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Ohio","otherGeospatial":"Crane Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.25233459472656,\n 41.605431236301456\n ],\n [\n -83.17105293273926,\n 41.605431236301456\n ],\n [\n -83.17105293273926,\n 41.646107652521614\n ],\n [\n -83.25233459472656,\n 41.646107652521614\n ],\n [\n -83.25233459472656,\n 41.605431236301456\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"5","issue":"38","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2018-05-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Baustian, Joseph J.","contributorId":195568,"corporation":false,"usgs":false,"family":"Baustian","given":"Joseph","email":"","middleInitial":"J.","affiliations":[{"id":34312,"text":"The Nature Conservancy, Baton Rouge, LA, USA","active":true,"usgs":false}],"preferred":false,"id":772442,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kowalski, Kurt P. 0000-0002-8424-4701 kkowalski@usgs.gov","orcid":"https://orcid.org/0000-0002-8424-4701","contributorId":3768,"corporation":false,"usgs":true,"family":"Kowalski","given":"Kurt P.","email":"kkowalski@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":772441,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Czayka, Alex","contributorId":191324,"corporation":false,"usgs":false,"family":"Czayka","given":"Alex","email":"","affiliations":[],"preferred":false,"id":772443,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70199190,"text":"70199190 - 2018 - Generalizing linear stream features to preserve sinuosity for analysis and display: A pilot study in multi-scale data science","interactions":[],"lastModifiedDate":"2018-11-21T16:22:18","indexId":"70199190","displayToPublicDate":"2018-05-25T16:21:00","publicationYear":"2018","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":18,"text":"Abstract or summary"},"title":"Generalizing linear stream features to preserve sinuosity for analysis and display: A pilot study in multi-scale data science","docAbstract":"Cartographic generalization can impact geometric properties of geospatial data and subsequent analyses. This study evaluates simplification methods with the goal of preserving geometric details, such as sinuosity. We evaluate two recently developed line simplification algorithms that introduce Steiner points: Raposo’s Spatial Means, and Kronenfeld’s new area-preserving segment collapse algorithm, and compare them with several well-known algorithms. Results indicate the area-preserving segment collapse algorithm optimally simplifies linear stream features with minimal horizontal displacement and the best retention of sinuosity.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Conference Proceedings, 22nd International Research Symposium on Computer-based Cartography and GIScience","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"22nd International Research Symposium on Computer-based Cartography and GIScience","conferenceDate":"May 22-24, 2018","conferenceLocation":"Madison, Wisconsin, USA","language":"English","publisher":"Cartography and Geographic Information Society and the University Consortium on Geographic Information Science","usgsCitation":"Stanislawski, L.V., Kronenfeld, B.J., Buttenfield, B.P., and Brockmeyer, T., 2018, Generalizing linear stream features to preserve sinuosity for analysis and display: A pilot study in multi-scale data science, in Conference Proceedings, 22nd International Research Symposium on Computer-based Cartography and GIScience, Madison, Wisconsin, USA, May 22-24, 2018, p. 111-119.","productDescription":"9 p.","startPage":"111","endPage":"119","ipdsId":"IP-096478","costCenters":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"links":[{"id":359645,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":357161,"type":{"id":15,"text":"Index Page"},"url":"https://www.ucgis.org/symposium-2018"}],"publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5bf67cf4e4b045bfcae2cffc","contributors":{"authors":[{"text":"Stanislawski, Larry V. 0000-0002-9437-0576 lstan@usgs.gov","orcid":"https://orcid.org/0000-0002-9437-0576","contributorId":3386,"corporation":false,"usgs":true,"family":"Stanislawski","given":"Larry","email":"lstan@usgs.gov","middleInitial":"V.","affiliations":[{"id":404,"text":"NGTOC Rolla","active":true,"usgs":true},{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"preferred":true,"id":744614,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kronenfeld, Barry J. 0000-0002-9518-2462","orcid":"https://orcid.org/0000-0002-9518-2462","contributorId":207104,"corporation":false,"usgs":false,"family":"Kronenfeld","given":"Barry","email":"","middleInitial":"J.","affiliations":[{"id":5043,"text":"Eastern Illinois University","active":true,"usgs":false}],"preferred":false,"id":744615,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buttenfield, Barbara P. 0000-0001-5961-5809","orcid":"https://orcid.org/0000-0001-5961-5809","contributorId":206887,"corporation":false,"usgs":false,"family":"Buttenfield","given":"Barbara","email":"","middleInitial":"P.","affiliations":[{"id":16144,"text":"University of Colorado-Boulder","active":true,"usgs":false}],"preferred":false,"id":744616,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brockmeyer, Tyler","contributorId":207756,"corporation":false,"usgs":true,"family":"Brockmeyer","given":"Tyler","email":"","affiliations":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"preferred":true,"id":744617,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70196085,"text":"fs20183019 - 2018 - Assessment of undiscovered conventional oil and gas resources in the downdip Paleogene formations, U.S. Gulf Coast, 2017","interactions":[],"lastModifiedDate":"2018-07-13T13:12:10","indexId":"fs20183019","displayToPublicDate":"2018-05-25T16:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-3019","title":"Assessment of undiscovered conventional oil and gas resources in the downdip Paleogene formations, U.S. Gulf Coast, 2017","docAbstract":"

Using a geology-based assessment methodology, the U.S. Geological Survey estimated mean undiscovered, technically recoverable conventional resources of 100 million barrels of oil and 16.5 trillion cubic feet of gas in the downdip Paleogene formations in onshore lands and State waters of the U.S. Gulf Coast region.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20183019","usgsCitation":"Buursink, M.L., Doolan, C.A., Enomoto, C.B., Craddock, W.H., Coleman, J.L., Jr., Brownfield, M.E., Gaswirth, S.B., Klett, T.R., Le, P.A., Leathers-Miller, H.M., Marra, K.R., Mercier, T.J., Pearson, O.N., Pitman, J.K., Schenk, C.J., Tennyson, M.E., Whidden, K.J., and Woodall, C.A., 2018, Assessment of undiscovered conventional oil and gas resources in the downdip Paleogene formations, U.S. Gulf Coast, 2017: U.S. Geological Survey Fact Sheet 2018–3019, 4 p., https://doi.org/10.3133/fs20183019.","productDescription":"4 p.","onlineOnly":"N","ipdsId":"IP-092823","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":354456,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2018/3019/coverthb2.jpg"},{"id":354457,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2018/3019/fs20183019.pdf","text":"Report","size":"4.10 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2018-3019"}],"country":"United States","state":"Louisiana, Texas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -99.5,\n 25.8\n ],\n [\n -88.5,\n 25.8\n ],\n [\n -88.5,\n 30.939924331023445\n ],\n [\n -99.5,\n 30.939924331023445\n ],\n [\n -99.5,\n 25.8\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Eastern Energy Resources Science Center
U.S. Geological Survey
12201 Sunrise Valley Drive, MS-954
Reston, VA 20192

","tableOfContents":"","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"publishedDate":"2018-05-25","noUsgsAuthors":false,"publicationDate":"2018-05-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Buursink, Marc L. 0000-0001-6491-386X mbuursink@usgs.gov","orcid":"https://orcid.org/0000-0001-6491-386X","contributorId":3362,"corporation":false,"usgs":true,"family":"Buursink","given":"Marc","email":"mbuursink@usgs.gov","middleInitial":"L.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":731262,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Doolan, Colin A. 0000-0002-7595-7566 cdoolan@usgs.gov","orcid":"https://orcid.org/0000-0002-7595-7566","contributorId":3046,"corporation":false,"usgs":true,"family":"Doolan","given":"Colin","email":"cdoolan@usgs.gov","middleInitial":"A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":731263,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Enomoto, Catherine B. 0000-0002-4119-1953 cenomoto@usgs.gov","orcid":"https://orcid.org/0000-0002-4119-1953","contributorId":2126,"corporation":false,"usgs":true,"family":"Enomoto","given":"Catherine","email":"cenomoto@usgs.gov","middleInitial":"B.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":731264,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Craddock, William H. 0000-0002-4181-4735 wcraddock@usgs.gov","orcid":"https://orcid.org/0000-0002-4181-4735","contributorId":3411,"corporation":false,"usgs":true,"family":"Craddock","given":"William","email":"wcraddock@usgs.gov","middleInitial":"H.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":731265,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Coleman, James L. Jr. 0000-0002-5232-5849 jlcoleman@usgs.gov","orcid":"https://orcid.org/0000-0002-5232-5849","contributorId":549,"corporation":false,"usgs":true,"family":"Coleman","given":"James","suffix":"Jr.","email":"jlcoleman@usgs.gov","middleInitial":"L.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":731266,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brownfield, Michael E. 0000-0003-3633-1138 mbrownfield@usgs.gov","orcid":"https://orcid.org/0000-0003-3633-1138","contributorId":1548,"corporation":false,"usgs":true,"family":"Brownfield","given":"Michael","email":"mbrownfield@usgs.gov","middleInitial":"E.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":736446,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gaswirth, Stephanie B. 0000-0001-5821-6347 sgaswirth@usgs.gov","orcid":"https://orcid.org/0000-0001-5821-6347","contributorId":140068,"corporation":false,"usgs":true,"family":"Gaswirth","given":"Stephanie B.","email":"sgaswirth@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":736449,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Klett, Timothy R. 0000-0001-9779-1168 tklett@usgs.gov","orcid":"https://orcid.org/0000-0001-9779-1168","contributorId":147382,"corporation":false,"usgs":true,"family":"Klett","given":"Timothy","email":"tklett@usgs.gov","middleInitial":"R.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":736450,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Le, Phuong A. 0000-0003-2477-509X 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schenk@usgs.gov","orcid":"https://orcid.org/0000-0002-0248-7305","contributorId":826,"corporation":false,"usgs":true,"family":"Schenk","given":"Christopher","email":"schenk@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":736458,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Tennyson, Marilyn E. 0000-0002-5166-2421 tennyson@usgs.gov","orcid":"https://orcid.org/0000-0002-5166-2421","contributorId":149259,"corporation":false,"usgs":true,"family":"Tennyson","given":"Marilyn E.","email":"tennyson@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":736459,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Whidden, Katherine J. 0000-0002-7841-2553 kwhidden@usgs.gov","orcid":"https://orcid.org/0000-0002-7841-2553","contributorId":3960,"corporation":false,"usgs":true,"family":"Whidden","given":"Katherine","email":"kwhidden@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":736460,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Woodall, Cheryl A. 0000-0002-4844-5768 cwoodall@usgs.gob","orcid":"https://orcid.org/0000-0002-4844-5768","contributorId":194411,"corporation":false,"usgs":true,"family":"Woodall","given":"Cheryl A.","email":"cwoodall@usgs.gob","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":736461,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}} ,{"id":70210227,"text":"70210227 - 2018 - Trout in hot water: A call for global action","interactions":[],"lastModifiedDate":"2020-05-21T14:57:32.707776","indexId":"70210227","displayToPublicDate":"2018-05-25T09:54:20","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"title":"Trout in hot water: A call for global action","docAbstract":"Trout are one of the most culturally, economically, and ecologically important taxonomic groups of freshwater fishes worldwide (1). Native to all continents in the Northern Hemisphere, trout are a taxonomically diverse group of fishes belonging to 7 genera (Oncorhynchus, Salvelinus, Salmo, Hucho, Parahucho, Brachymystax, and Salvethymus) distributed across 52 countries. These coldwater specialists provide recreation and food to millions of people, and play important roles in ecosystem functioning and health (2). They are also extremely sensitive to human disturbances because they require cold, clean, complex, and connected habitats for survival and persistence (3) – all attributes that humans have substantially altered and degraded (4, 5). Despite their broad importance as societal icons and as indicators of biodiversity, many of the world’s trout species and lineages are endangered and some require immediate conservation efforts to reverse their precarious decline.","language":"English","publisher":"AAAS","doi":"10.1126/science.aat8455","usgsCitation":"Muhlfeld, C.C., Dauwalter, D., Kovach, R., Kershner, J.L., Williams, J.E., and Epifanio, J., 2018, Trout in hot water: A call for global action: Science, v. 360, no. 6391, p. 866-867, https://doi.org/10.1126/science.aat8455.","productDescription":"2 p.","startPage":"866","endPage":"867","ipdsId":"IP-097057","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":374993,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"360","issue":"6391","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Muhlfeld, Clint C. 0000-0002-4599-4059 cmuhlfeld@usgs.gov","orcid":"https://orcid.org/0000-0002-4599-4059","contributorId":924,"corporation":false,"usgs":true,"family":"Muhlfeld","given":"Clint","email":"cmuhlfeld@usgs.gov","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":789658,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dauwalter, Daniel C.","contributorId":224829,"corporation":false,"usgs":false,"family":"Dauwalter","given":"Daniel C.","affiliations":[{"id":37131,"text":"Trout Unlimited","active":true,"usgs":false}],"preferred":false,"id":789659,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kovach, Ryan 0000-0001-5402-2123 rkovach@usgs.gov","orcid":"https://orcid.org/0000-0001-5402-2123","contributorId":145914,"corporation":false,"usgs":true,"family":"Kovach","given":"Ryan","email":"rkovach@usgs.gov","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":789660,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kershner, Jeffrey L. 0000-0002-7093-9860 jkershner@usgs.gov","orcid":"https://orcid.org/0000-0002-7093-9860","contributorId":310,"corporation":false,"usgs":true,"family":"Kershner","given":"Jeffrey","email":"jkershner@usgs.gov","middleInitial":"L.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":789662,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Williams, Jack E.","contributorId":93774,"corporation":false,"usgs":true,"family":"Williams","given":"Jack","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":789663,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Epifanio, John","contributorId":139202,"corporation":false,"usgs":false,"family":"Epifanio","given":"John","email":"","affiliations":[],"preferred":false,"id":789661,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70198752,"text":"70198752 - 2018 - Short-term mortality and retention associated with tagging Age-0 walleye using passive integrated transponders (PITs) in the absence of anesthesia","interactions":[],"lastModifiedDate":"2019-01-28T09:26:34","indexId":"70198752","displayToPublicDate":"2018-05-25T09:45:57","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Short-term mortality and retention associated with tagging Age-0 walleye using passive integrated transponders (PITs) in the absence of anesthesia","docAbstract":"

The ability to individually mark juvenile fishes has important implications for fisheries management. For example, marking age-0 Walleye Sander vitreus could provide important information not provided by batch-marking, including individual variation in growth and estimates of length-dependent survival and recruitment. However, the relatively small size of age-0 Walleye in north temperate lakes has precluded use of many common tagging methods that provide information on individual fish (e.g., various anchor tags, jaw tags). Consequently, we evaluated short-term mortality and retention associated with using 12-mm passive integrated transponders (PITs) to mark age-0 Walleye (TL range = 93-216 mm; mean TL = 157 mm) by conducting 48-h within-lake net-pen trials and 7-d hatchery trials during September-October of 2015 and 2016. Age-0 Walleye were not anesthetized prior to PIT tagging. Our assessment allowed us to determine whether post-tagging mortality and PIT retention varied in relation to implant location (i.e., body cavity or pelvic girdle), fish length, and water temperature. During 2015, mean 48-h mortality rate of age-0 Walleye tagged with PITs in the body cavity was low (7%; SE = 3%) and did not differ from that of fish marked with only a fin clip (4%; SE = 2%) and reference fish (2%; SE = 1%). During 2016, mean mortality rates ranged from 2% (reference fish) to 6% (PIT inserted into pelvic girdle) and did not differ among treatments. During both years, mortality rates for nearly all treatments were highest (> 13%) when water temperatures were {greater than or equal to} 20°C, but decreased below 5% when water temperatures were {less than or equal to} 17°C. During 2016, dead age-0 Walleye in both PIT treatments were smaller than fish that survived. During the 7-d hatchery trials, mean mortality rates were higher for age-0 Walleye with PITs inserted into the body cavity (13%; SE = 4%) than fish that received a PIT in the pelvic girdle (4%; SE = 1%) and reference fish (4%; SE = 2%). Retention of PITs was high (> 96%) during all net-pen and hatchery trials. Collectively, our results suggest that PITs can be used to tag age-0 Walleye without anesthesia with the expectations of high initial retention and low mortality. Mortality rates may be minimized by implanting PITs into the pelvic girdle when water temperatures are {less than or equal to} 17°C.

","language":"English","publisher":"U.S. Fish and Wildlife Service","doi":"10.3996/102017-JFWM-081","usgsCitation":"Dembkowski, D.J., Isermann, D.A., and Sass, G.G., 2018, Short-term mortality and retention associated with tagging Age-0 walleye using passive integrated transponders (PITs) in the absence of anesthesia: Journal of Fish and Wildlife Management, v. 9, no. 2, p. 393-401, https://doi.org/10.3996/102017-JFWM-081.","productDescription":"9 p.","startPage":"393","endPage":"401","ipdsId":"IP-090000","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":468729,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/102017-jfwm-081","text":"Publisher Index Page"},{"id":356628,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-05-25","publicationStatus":"PW","scienceBaseUri":"5b98a2bbe4b0702d0e842fd3","contributors":{"authors":[{"text":"Dembkowski, Daniel J.","contributorId":207134,"corporation":false,"usgs":false,"family":"Dembkowski","given":"Daniel","email":"","middleInitial":"J.","affiliations":[{"id":17717,"text":"University of Wisconsin-Stevens Point","active":true,"usgs":false}],"preferred":false,"id":742849,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Isermann, Daniel A. 0000-0003-1151-9097 disermann@usgs.gov","orcid":"https://orcid.org/0000-0003-1151-9097","contributorId":5167,"corporation":false,"usgs":true,"family":"Isermann","given":"Daniel","email":"disermann@usgs.gov","middleInitial":"A.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":742848,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sass, Greg G.","contributorId":207135,"corporation":false,"usgs":false,"family":"Sass","given":"Greg","email":"","middleInitial":"G.","affiliations":[{"id":16117,"text":"Wisconsin DNR","active":true,"usgs":false}],"preferred":false,"id":742850,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70197258,"text":"70197258 - 2018 - Long-term changes in pond permanence, size, and salinity in Prairie Pothole Region wetlands: The role of groundwater-pond interaction","interactions":[],"lastModifiedDate":"2018-05-25T10:10:36","indexId":"70197258","displayToPublicDate":"2018-05-25T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3823,"text":"Journal of Hydrology: Regional Studies","active":true,"publicationSubtype":{"id":10}},"title":"Long-term changes in pond permanence, size, and salinity in Prairie Pothole Region wetlands: The role of groundwater-pond interaction","docAbstract":"

Study Region

Cottonwood Lake area wetlands, North Dakota, U.S.A.

Study Focus

Fluctuations in pond permanence, size, and salinity are key features of prairie-pothole wetlands that provide a variety of wetland habitats for waterfowl in the northern prairie of North America. Observation of water-level and salinity fluctuations in a semi-permanent wetland pond over a 20-year period, included periods when the wetland occasionally was dry, as well as wetter years when the pond depth and surface extent doubled while volume increased 10 times.

New hydrological insights for the study region

Compared to all other measured budget components, groundwater flow into the pond often contributed the least water (8–28 percent) but the largest amount (>90 percent) of specific solutes to the water and solute budgets of the pond. In drier years flow from the pond into groundwater represented > 10 percent of water loss, and in 1992 was approximately equal to evapotranspiration loss. Also during the drier years, export of calcium, magnesium, sodium, potassium, chloride, and sulfate by flow from the pond to groundwater was substantial compared with previous or subsequent years, a process that would have been undetected if groundwater flux had been calculated as a net value. Independent quantification of water and solute gains and losses were essential to understand controls on water-level and salinity fluctuations in the pond in response to variable climate conditions.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.ejrh.2018.03.003","usgsCitation":"LaBaugh, J.W., Rosenberry, D.O., Mushet, D.M., Neff, B., Nelson, R., and Euliss, N.H., 2018, Long-term changes in pond permanence, size, and salinity in Prairie Pothole Region wetlands: The role of groundwater-pond interaction: Journal of Hydrology: Regional Studies, v. 17, p. 1-23, https://doi.org/10.1016/j.ejrh.2018.03.003.","productDescription":"23 p.","startPage":"1","endPage":"23","ipdsId":"IP-086270","costCenters":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"links":[{"id":468730,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ejrh.2018.03.003","text":"Publisher Index Page"},{"id":354492,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b155d77e4b092d9651e1b2c","contributors":{"authors":[{"text":"LaBaugh, James W. 0000-0002-4112-2536 jlabaugh@usgs.gov","orcid":"https://orcid.org/0000-0002-4112-2536","contributorId":1311,"corporation":false,"usgs":true,"family":"LaBaugh","given":"James","email":"jlabaugh@usgs.gov","middleInitial":"W.","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":736521,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rosenberry, Donald O. 0000-0003-0681-5641 rosenber@usgs.gov","orcid":"https://orcid.org/0000-0003-0681-5641","contributorId":1312,"corporation":false,"usgs":true,"family":"Rosenberry","given":"Donald","email":"rosenber@usgs.gov","middleInitial":"O.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":736522,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mushet, David M. 0000-0002-5910-2744 dmushet@usgs.gov","orcid":"https://orcid.org/0000-0002-5910-2744","contributorId":1299,"corporation":false,"usgs":true,"family":"Mushet","given":"David","email":"dmushet@usgs.gov","middleInitial":"M.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":736523,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Neff, Brian 0000-0003-3718-7350 bneff@usgs.gov","orcid":"https://orcid.org/0000-0003-3718-7350","contributorId":198885,"corporation":false,"usgs":true,"family":"Neff","given":"Brian","email":"bneff@usgs.gov","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":736524,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nelson, Richard D.","contributorId":55338,"corporation":false,"usgs":true,"family":"Nelson","given":"Richard D.","affiliations":[],"preferred":false,"id":736525,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Euliss, Ned H. Jr. ceuliss@usgs.gov","contributorId":2916,"corporation":false,"usgs":true,"family":"Euliss","given":"Ned","suffix":"Jr.","email":"ceuliss@usgs.gov","middleInitial":"H.","affiliations":[],"preferred":false,"id":736526,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70197257,"text":"70197257 - 2018 - Use of created snags by cavity‐nesting birds across 25 years","interactions":[],"lastModifiedDate":"2018-08-31T10:58:00","indexId":"70197257","displayToPublicDate":"2018-05-25T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Use of created snags by cavity‐nesting birds across 25 years","docAbstract":"

Snags are important habitat features for many forest‐dwelling species, so reductions in the number of snags can lead to the loss of biodiversity in forest ecosystems. Intentional snag creation is often used in managed forests to mitigate the long‐term declines of naturally created snags, yet information regarding the use of snags by wildlife across long timescales (>20 yr) is lacking and prevents a complete understanding of how the value of created snags change through time. We used a long‐term experiment to assess how harvest treatment (i.e., small‐patch group selection, 2‐story, and clearcut) and snag configuration (i.e., scattered and clustered) influenced nesting in and foraging on 25–27‐year‐old Douglas‐fir (Pseudotsuga menziesii) snags by cavity‐nesting birds. In addition, we compared our contemporary measures of bird use to estimates obtained from historical surveys conducted on the same group of snags to quantify how bird use changed over time. Despite observing created snags for >750 hours across 2 consecutive breeding seasons, we found limited evidence of nesting activity. Only 11% of created snags were used for breeding, with nesting attempts by 4 bird species (n = 36 nests); however, we detected 12 cavity‐nesting species present on our study sites. Furthermore, nearly all nests (94%) belonged to the chestnut‐backed chickadee (Poecile rufescens), a weak cavity‐excavating species that requires well‐decayed wood for creating nest cavities. Our surveys also recorded few observations of birds using created snags as foraging substrates, with only 1 foraging event recorded for every 20 hours of observation. We detected 82% fewer nests and recorded 7% fewer foraging observations during contemporary field work despite spending >7.5 times more effort observing created snags relative to historical surveys. We conclude that 25–27‐year‐old created Douglas‐fir snags provided limited opportunities for nesting and foraging by most cavity‐nesting birds, and that the period of greatest use by this group occurred within 5–15 years of creation. 

","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.21489","usgsCitation":"Barry, A.M., Hagar, J., and Rivers, J.W., 2018, Use of created snags by cavity‐nesting birds across 25 years: Journal of Wildlife Management, v. 82, no. 7, p. 1376-1384, https://doi.org/10.1002/jwmg.21489.","productDescription":"9 p.","startPage":"1376","endPage":"1384","ipdsId":"IP-090269","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":354493,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"82","issue":"7","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-05-23","publicationStatus":"PW","scienceBaseUri":"5b155d77e4b092d9651e1b2e","contributors":{"authors":[{"text":"Barry, Amy M.","contributorId":196050,"corporation":false,"usgs":false,"family":"Barry","given":"Amy","email":"","middleInitial":"M.","affiliations":[{"id":7005,"text":"Department of Forest Ecosystems and Society, Oregon State University","active":true,"usgs":false}],"preferred":false,"id":736437,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hagar, Joan 0000-0002-3044-6607 joan_hagar@usgs.gov","orcid":"https://orcid.org/0000-0002-3044-6607","contributorId":3369,"corporation":false,"usgs":true,"family":"Hagar","given":"Joan","email":"joan_hagar@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":736436,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rivers, James W.","contributorId":23072,"corporation":false,"usgs":false,"family":"Rivers","given":"James","email":"","middleInitial":"W.","affiliations":[{"id":7005,"text":"Department of Forest Ecosystems and Society, Oregon State University","active":true,"usgs":false}],"preferred":false,"id":736438,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70196717,"text":"sir20185061 - 2018 - Comparability among four invertebrate sampling methods and two multimetric indexes, Fountain Creek Basin, Colorado, 2010–2012","interactions":[],"lastModifiedDate":"2018-05-24T11:13:06","indexId":"sir20185061","displayToPublicDate":"2018-05-24T11:10:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-5061","title":"Comparability among four invertebrate sampling methods and two multimetric indexes, Fountain Creek Basin, Colorado, 2010–2012","docAbstract":"

The U.S. Geological Survey (USGS), in cooperation with Colorado Springs City Engineering and Colorado Springs Utilities, analyzed previously collected invertebrate data to determine the comparability among four sampling methods and two versions (2010 and 2017) of the Colorado Benthic Macroinvertebrate Multimetric Index (MMI). For this study, annual macroinvertebrate samples were collected concurrently (in space and time) at 15 USGS surface-water gaging stations in the Fountain Creek Basin from 2010 to 2012 using four sampling methods. The USGS monitoring project in the basin uses two of the methods and the Colorado Department of Public Health and Environment recommends the other two. These methods belong to two distinct sample types, one that targets single habitats and one that targets multiple habitats. The study results indicate that there are significant differences in MMI values obtained from the single-habitat and multihabitat sample types but methods from each program within each sample type produced comparable values. This study also determined that MMI values calculated by different versions of the Colorado Benthic Macroinvertebrate MMI are indistinguishable. This indicates that the Colorado Department of Public Health and Environment methods are comparable with the USGS monitoring project methods for single-habitat and multihabitat sample types. This report discusses the direct application of the study results to inform the revision of the existing USGS monitoring project in the Fountain Creek Basin.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185061","collaboration":"Prepared in cooperation with Colorado Springs City Engineering and Colorado Springs Utilities","usgsCitation":"Bruce, J.F., Roberts, J.J., and Zuellig, R.E., 2018, Comparability among four invertebrate sampling methods and two multimetric indexes, Fountain Creek Basin, Colorado, 2010–2012: U.S. Geological Survey Scientific Investigations\nReport 2018–5061, 11 p., https://doi.org/10.3133/sir20185061.","productDescription":"Report: vi, 11 p.; Data release","numberOfPages":"22","onlineOnly":"Y","ipdsId":"IP-094808","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":354395,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5061/sir20185061.pdf","text":"Report","size":"908 kB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018-5061"},{"id":354396,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7VQ320K","text":"USGS data release","description":"USGS data release","linkHelpText":"Multimetric Index macroinvertebrate values from the Fountain Creek Basin, Colorado 2005 to 2016"},{"id":354394,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5061/coverthb.jpg"}],"country":"United States","state":"Colorado","city":"Colorado Springs, Pueblo","otherGeospatial":"Fountain Creek Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -105.35888671875,\n 38.1151107557172\n ],\n [\n -104.05426025390625,\n 38.1151107557172\n ],\n [\n -104.05426025390625,\n 39.16414104768742\n ],\n [\n -105.35888671875,\n 39.16414104768742\n ],\n [\n -105.35888671875,\n 38.1151107557172\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Colorado Water Science Center
U.S. Geological Survey
Box 25046, MS 415
Denver, CO 80225

","tableOfContents":"","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"publishedDate":"2018-05-24","noUsgsAuthors":false,"publicationDate":"2018-05-24","publicationStatus":"PW","scienceBaseUri":"5b155d77e4b092d9651e1b30","contributors":{"authors":[{"text":"Bruce, James F. 0000-0003-3125-2932 jbruce@usgs.gov","orcid":"https://orcid.org/0000-0003-3125-2932","contributorId":916,"corporation":false,"usgs":true,"family":"Bruce","given":"James","email":"jbruce@usgs.gov","middleInitial":"F.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":false,"id":734088,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roberts, James J. 0000-0002-4193-610X jroberts@usgs.gov","orcid":"https://orcid.org/0000-0002-4193-610X","contributorId":5453,"corporation":false,"usgs":true,"family":"Roberts","given":"James","email":"jroberts@usgs.gov","middleInitial":"J.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":734089,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zuellig, Robert E. 0000-0002-4784-2905 rzuellig@usgs.gov","orcid":"https://orcid.org/0000-0002-4784-2905","contributorId":1620,"corporation":false,"usgs":true,"family":"Zuellig","given":"Robert","email":"rzuellig@usgs.gov","middleInitial":"E.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":734090,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70228194,"text":"70228194 - 2018 - Chesapeake Bay's water quality condition has been recovering: Insights from a multimetric indicator assessment of thirty years of tidal monitoring data","interactions":[],"lastModifiedDate":"2022-02-07T16:34:20.375127","indexId":"70228194","displayToPublicDate":"2018-05-24T10:29:28","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Chesapeake Bay's water quality condition has been recovering: Insights from a multimetric indicator assessment of thirty years of tidal monitoring data","docAbstract":"

To protect the aquatic living resources of Chesapeake Bay, the Chesapeake Bay Program partnership has developed guidance for state water quality standards, which include ambient water quality criteria to protect designated uses (DUs), and associated assessment procedures for dissolved oxygen (DO), water clarity/underwater bay grasses, and chlorophyll-a. For measuring progress toward meeting the respective states' water quality standards, a multimetric attainment indicator approach was developed to estimate combined standards attainment. We applied this approach to three decades of monitoring data of DO, water clarity/underwater bay grasses, and chlorophyll-a data on annually updated moving 3-year periods to track the progress in all 92 management segments of tidal waters in Chesapeake Bay. In 2014–2016, 40% of tidal water segment-DU-criterion combinations in the Bay (n = 291) are estimated to meet thresholds for attainment of their water quality criteria. This index score marks the best 3-year status in the entire record. Since 1985–1987, the indicator has followed a nonlinear trajectory, consistent with impacts from extreme weather events and subsequent recoveries. Over the period of record (1985–2016), the indicator exhibited a positive and statistically significant trend (p < 0.05), indicating that the Bay has been recovering since 1985. Patterns of attainment of individual DUs are variable, but improvements in open water DO, deep channel DO, and water clarity/submerged aquatic vegetation have combined to drive the improvement in the Baywide indicator in 2014–2016 relative to its long-term median. Finally, the improvement in estimated Baywide attainment was statistically linked to the decline of total nitrogen, indicating responsiveness of attainment status to the reduction of nutrient load through various management actions since at least the 1980s.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2018.05.025","usgsCitation":"Zhang, Q., Murphy, R.R., Tian, R., Forsyth, M.K., Trentacoste, E.M., Keisman, J.L., and Tango, P., 2018, Chesapeake Bay's water quality condition has been recovering: Insights from a multimetric indicator assessment of thirty years of tidal monitoring data: Science of the Total Environment, v. 637-638, p. 1617-1625, https://doi.org/10.1016/j.scitotenv.2018.05.025.","productDescription":"9 p.","startPage":"1617","endPage":"1625","ipdsId":"IP-097377","costCenters":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"links":[{"id":468731,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6688177","text":"External Repository"},{"id":395536,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Science","active":true,"usgs":false}],"preferred":false,"id":833367,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Trentacoste, Emily M. 0000-0003-2870-861X","orcid":"https://orcid.org/0000-0003-2870-861X","contributorId":218532,"corporation":false,"usgs":false,"family":"Trentacoste","given":"Emily","email":"","middleInitial":"M.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":833368,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Keisman, Jennifer L. D. 0000-0001-6808-9193","orcid":"https://orcid.org/0000-0001-6808-9193","contributorId":210994,"corporation":false,"usgs":true,"family":"Keisman","given":"Jennifer","email":"","middleInitial":"L. D.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":833369,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Tango, Peter J. 0000-0001-6669-6969","orcid":"https://orcid.org/0000-0001-6669-6969","contributorId":274834,"corporation":false,"usgs":true,"family":"Tango","given":"Peter J.","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":833370,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70197256,"text":"70197256 - 2018 - Aligning environmental management with ecosystem resilience: a First Foods example from the Confederated Tribes of the Umatilla Indian Reservation, Oregon, USA","interactions":[],"lastModifiedDate":"2018-05-24T11:34:17","indexId":"70197256","displayToPublicDate":"2018-05-24T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1468,"text":"Ecology and Society","active":true,"publicationSubtype":{"id":10}},"title":"Aligning environmental management with ecosystem resilience: a First Foods example from the Confederated Tribes of the Umatilla Indian Reservation, Oregon, USA","docAbstract":"

The concept of “reciprocity” between humans and other biota arises from the creation belief of the Confederated Tribes of the Umatilla Indian Reservation (CTUIR). The concept acknowledges a moral and practical obligation for humans and biota to care for and sustain one another, and arises from human gratitude and reverence for the contributions and sacrifices made by other biota to sustain human kind. Reciprocity has become a powerful organizing principle for the CTUIR Department of Natural Resources, fostering continuity across the actions and policies of environmental management programs at the CTUIR. Moreover, reciprocity is the foundation of the CTUIR “First Foods” management approach. We describe the cultural significance of First Foods, the First Foods management approach, a resulting management vision for resilient and functional river ecosystems, and subsequent shifts in management goals and planning among tribal environmental staff during the first decade of managing for First Foods. In presenting this management approach, we highlight how reciprocity has helped align human values and management goals with ecosystem resilience, yielding management decisions that benefit individuals and communities, indigenous and nonindigenous, as well as human and nonhuman. We further describe the broader applicability of reciprocity-based approaches to natural resource management.

","language":"English","publisher":"Ecology and Society","doi":"10.5751/ES-10080-230229","usgsCitation":"Quaempts, E.J., Jones, K., O’Daniel, S.J., Beechie, T.J., and Poole, G.C., 2018, Aligning environmental management with ecosystem resilience: a First Foods example from the Confederated Tribes of the Umatilla Indian Reservation, Oregon, USA: Ecology and Society, v. 23, no. 2, Article 29; 20 p., https://doi.org/10.5751/ES-10080-230229.","productDescription":"Article 29; 20 p.","ipdsId":"IP-071268","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":468734,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5751/es-10080-230229","text":"Publisher Index Page"},{"id":354455,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","volume":"23","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b155d77e4b092d9651e1b32","contributors":{"authors":[{"text":"Quaempts, Eric J","contributorId":205207,"corporation":false,"usgs":false,"family":"Quaempts","given":"Eric","email":"","middleInitial":"J","affiliations":[{"id":37057,"text":"Department of Natural Resources for the Confederated Tribes of the Umatilla Indian Reservation","active":true,"usgs":false}],"preferred":false,"id":736432,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Krista 0000-0002-0301-4497","orcid":"https://orcid.org/0000-0002-0301-4497","contributorId":205206,"corporation":false,"usgs":true,"family":"Jones","given":"Krista","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":736431,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O’Daniel, Scott J.","contributorId":140123,"corporation":false,"usgs":false,"family":"O’Daniel","given":"Scott","email":"","middleInitial":"J.","affiliations":[{"id":13390,"text":"Confederated Tribes of the Umatilla Indian Reservation, Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":736433,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Beechie, Timothy J.","contributorId":139468,"corporation":false,"usgs":false,"family":"Beechie","given":"Timothy","email":"","middleInitial":"J.","affiliations":[{"id":6578,"text":"National Marine Fisheries Service, Seattle, WA 98112, USA","active":true,"usgs":false}],"preferred":false,"id":736434,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Poole, Geoffrey C.","contributorId":179213,"corporation":false,"usgs":false,"family":"Poole","given":"Geoffrey","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":736435,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70197255,"text":"70197255 - 2018 - Projected 21st century coastal flooding in the Southern California Bight. Part 1: Development of the third generation CoSMoS model","interactions":[],"lastModifiedDate":"2018-05-24T10:55:15","indexId":"70197255","displayToPublicDate":"2018-05-24T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2380,"text":"Journal of Marine Science and Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Projected 21st century coastal flooding in the Southern California Bight. Part 1: Development of the third generation CoSMoS model","docAbstract":"

Due to the effects of climate change over the course of the next century, the combination of rising sea levels, severe storms, and coastal change will threaten the sustainability of coastal communities, development, and ecosystems as we know them today. To clearly identify coastal vulnerabilities and develop appropriate adaptation strategies due to projected increased levels of coastal flooding and erosion, coastal managers need local-scale hazards projections using the best available climate and coastal science. In collaboration with leading scientists world-wide, the USGS designed the Coastal Storm Modeling System (CoSMoS) to assess the coastal impacts of climate change for the California coast, including the combination of sea-level rise, storms, and coastal change. In this project, we directly address the needs of coastal resource managers in Southern California by integrating a vast range of global climate change projections in a thorough and comprehensive numerical modeling framework. In Part 1 of a two-part submission on CoSMoS, methods and the latest improvements are discussed, and an example of hazard projections is presented.

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