{"pageNumber":"724","pageRowStart":"18075","pageSize":"25","recordCount":184553,"records":[{"id":70206446,"text":"70206446 - 2019 - First record of the non-indigenous parasitic copepod Neoergasilus japonicus (Harada, 1950) in the Lake Ontario Watershed:  Oneida Lake, New York","interactions":[],"lastModifiedDate":"2020-01-03T10:16:20","indexId":"70206446","displayToPublicDate":"2019-06-25T15:19:15","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"displayTitle":"First record of the non-indigenous parasitic copepod <i>Neoergasilus japonicus</i> (Harada, 1950) in the Lake Ontario Watershed:  Oneida Lake, New York","title":"First record of the non-indigenous parasitic copepod Neoergasilus japonicus (Harada, 1950) in the Lake Ontario Watershed:  Oneida Lake, New York","docAbstract":"<p><span>Four specimens of the Asiatic parasitic copepod&nbsp;</span><i>Neoergasilus japonicus</i><span>&nbsp;(Harada, 1930) were collected from Oneida Lake, New York in September 2018; one specimen was from a white sucker&nbsp;</span><i>Catostomus commersonii</i><span>, another from a green sunfish&nbsp;</span><i>Lepomis cyanellus</i><span>, and two from a bluegill&nbsp;</span><i>Lepomis macrochirus</i><span>. The four adult female specimens were found attached to the base of the gills of their respective hosts along with other ergasilid species. The average total length of the adult female&nbsp;</span><i>N. japonicus</i><span>&nbsp;specimens we found was 0.609 mm. These detections represent the first known occurrence of this non-native species in the state of New York, extends the easternmost distribution of this parasite over 400 miles, and now includes the Lake Ontario watershed for the first time. It is commonly believed that the international aquaculture industry and aquarium fish trade are the most likely vectors of dispersal for&nbsp;</span><i>N. japonicus</i><span>. Monitoring the spread of non-indigenous aquatic species is an important step towards the development of management plans and mitigation efforts with regards to the anthropogenic causes of dispersal, and fish parasites are no exception.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2019.09.017","usgsCitation":"Marshall, C.C., Hudson, P., Jackson, J.R., Connolly, J.K., Watkins, J.M., and Rudstam, L.G., 2019, First record of the non-indigenous parasitic copepod Neoergasilus japonicus (Harada, 1950) in the Lake Ontario Watershed:  Oneida Lake, New York: Journal of Great Lakes Research, v. 45, no. 6, p. 1348-1353, https://doi.org/10.1016/j.jglr.2019.09.017.","productDescription":"6 p.","startPage":"1348","endPage":"1353","ipdsId":"IP-108537","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":368936,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Oneida Lake, Lake Ontario watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -76.14212036132812,\n              43.12203614830064\n            ],\n            [\n              -75.66970825195312,\n              43.12203614830064\n            ],\n            [\n              -75.66970825195312,\n              43.26620632572599\n            ],\n            [\n              -76.14212036132812,\n              43.26620632572599\n            ],\n            [\n              -76.14212036132812,\n              43.12203614830064\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"45","issue":"6","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Marshall, Chris C.","contributorId":220245,"corporation":false,"usgs":false,"family":"Marshall","given":"Chris","email":"","middleInitial":"C.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":774578,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hudson, Patrick 0000-0002-7646-443X","orcid":"https://orcid.org/0000-0002-7646-443X","contributorId":220244,"corporation":false,"usgs":true,"family":"Hudson","given":"Patrick","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":774577,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jackson, J. Randy","contributorId":220248,"corporation":false,"usgs":false,"family":"Jackson","given":"J.","email":"","middleInitial":"Randy","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":774582,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Connolly, Joe K.","contributorId":220247,"corporation":false,"usgs":false,"family":"Connolly","given":"Joe","email":"","middleInitial":"K.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":774580,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Watkins, Jim M","contributorId":220246,"corporation":false,"usgs":false,"family":"Watkins","given":"Jim","email":"","middleInitial":"M","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":774579,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rudstam, Lars G. 0000-0002-3732-6368","orcid":"https://orcid.org/0000-0002-3732-6368","contributorId":213508,"corporation":false,"usgs":false,"family":"Rudstam","given":"Lars","email":"","middleInitial":"G.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":774581,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70202388,"text":"ofr20191019 - 2019 - The major coral reefs of Maui Nui, Hawai‘i—distribution, physical characteristics, oceanographic controls, and environmental threats","interactions":[],"lastModifiedDate":"2019-06-26T09:35:14","indexId":"ofr20191019","displayToPublicDate":"2019-06-25T15:06:10","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-1019","displayTitle":"The Major Coral Reefs of Maui Nui, Hawai‘i—Distribution, Physical Characteristics, Oceanographic Controls, and Environmental Threats","title":"The major coral reefs of Maui Nui, Hawai‘i—distribution, physical characteristics, oceanographic controls, and environmental threats","docAbstract":"<p><span>Coral reefs are widely recognized as critical to Hawaiʻi’s economy, food resources, and protection from damaging storm waves. Yet overfishing, land-based pollution, and climate change are threatening the health and sustainability of those reefs, and accordingly, both the Federal and State governments have called for protection and effective management. In 2000, the U.S. Coral Reef Task Force stated that 20 percent of coral reefs should be protected by 2010. In 2016, the Governor of Hawaiʻi committed to effective management of 30 percent of Hawaiian coastal habitats by 2030 to protect coral reefs. At present, the amount of coral protected in the main Hawaiian Islands is less than 1 percent.</span></p><p><span>Most of the large, highly diverse coral reef tracts in the main Hawaiian Islands surround the four islands of Maui, Molokaʻi, Lānaʻi, and Kahoʻolawe, collectively known as Maui Nui. This report provides fundamental information on the location, extent, coral cover, threats, and connectivity of these major coral reef tracts in Maui Nui essential for identifying areas for management and protection.</span></p><p><span>By combining high-resolution bathymetric data with available maps, publications, and satellite and underwater images, nine major coral reef tracts are identified in the coastal waters of Maui Nui. Three very large reef tracts lie along the south side of Molokaʻi, two on the east side of Lānaʻi, and four off Maui. The factors that make these Maui Nui coral reef tracts a major and important resource for Hawaiʻi include their vast size and high coral cover (nearly 16,000 acres of reef, most of which has more than 50 percent live coral cover); diversity of shape, size, and location; and separation between reefs while retaining connectivity via currents. The decline in the health of these coral reefs over the past several decades has been slow but persistent. Punctuation of the decline by large-scale disturbance events, such as the thermal bleaching that occurred in 2015, is accelerating the loss of viable reef areas by an order of magnitude.</span></p><p><span>The economic, cultural, and recreational value of these coral reef tracts highlights the importance of their long-term survival to the local communities and all of Hawaiʻi. There is scientific consensus that increasing pressures from climate change, overfishing, and land-based pollution will virtually assure the continued, and perhaps accelerating, decline of Hawaiʻi’s coral reefs unless action is taken. Information presented in this report, coupled with the results of numerous scientific studies, provides scientific underpinning to help establish a network of large-scale, connected Marine Protected Areas to meet the Federal and State governments’ call for effective management and protection of coral reefs in Maui Nui.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191019","usgsCitation":"Field, M.E., Storlazzi, C.D., Gibbs, A.E., D’Antonio, N.L., and Cochran, S.A, 2019, The major coral reefs of Maui Nui, Hawai‘i—Distribution, physical characteristics, oceanographic controls, and environmental threats: U.S. Geological Survey Open-File Report 2019–1019, 71 p., https://doi.org/10.3133/ofr20191019.","productDescription":"Report: vi, 71 p.","numberOfPages":"80","onlineOnly":"Y","ipdsId":"IP-096402","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":365042,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1019/ofr20191019.pdf","text":"Report","size":"31 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Open-File Report 2019-1019"},{"id":365041,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1019/coverthb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Maui Nui","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -157.5439453125,\n              20.33432561683554\n            ],\n            [\n              -155.6982421875,\n              20.33432561683554\n            ],\n            [\n              -155.6982421875,\n              21.49396356306447\n            ],\n            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Nui Coral Reefs Depend Upon One Another</li><li>Summary: Maui Nui Coral Reefs and Long-Term Survival</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2019-06-25","noUsgsAuthors":false,"publicationDate":"2019-06-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Field, Michael E. mfield@usgs.gov","contributorId":2101,"corporation":false,"usgs":true,"family":"Field","given":"Michael","email":"mfield@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":758147,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490 cstorlazzi@usgs.gov","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":140584,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt","email":"cstorlazzi@usgs.gov","middleInitial":"D.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":758148,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gibbs, Ann E. 0000-0002-0883-3774 agibbs@usgs.gov","orcid":"https://orcid.org/0000-0002-0883-3774","contributorId":2644,"corporation":false,"usgs":true,"family":"Gibbs","given":"Ann","email":"agibbs@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":758149,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"D'Antonio, Nicole L.","contributorId":169440,"corporation":false,"usgs":true,"family":"D'Antonio","given":"Nicole L.","affiliations":[],"preferred":false,"id":758150,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cochran, Susan A. 0000-0002-2442-8787 scochran@usgs.gov","orcid":"https://orcid.org/0000-0002-2442-8787","contributorId":138976,"corporation":false,"usgs":true,"family":"Cochran","given":"Susan","email":"scochran@usgs.gov","middleInitial":"A.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":758146,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70203285,"text":"70203285 - 2019 - Satellite observations of surface deformation at the Coso Geothermal Field, California","interactions":[],"lastModifiedDate":"2019-06-25T13:23:46","indexId":"70203285","displayToPublicDate":"2019-06-25T13:22:37","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Satellite observations of surface deformation at the Coso Geothermal Field, California","docAbstract":"Surface deformation time series and rates are identified at the Coso Geothermal Field (CGF) and surrounding areas by applying interferometric synthetic aperture radar (InSAR) to satellite scenes from Envisat (June 2004  ̶  October 2010) and Sentinel (November 2014 – April 2018). The measurements are done in the line of sight (LOS) to each satellite, within an area of size ~450 km2, at the locations of hundreds of thousands permanent and distributed scatterers. Thirty descending (satellite moves north to south) and 45 ascending (south to north) images were used from Envisat, and 63 descending and 65 ascending from Sentinel. A decomposition into average vertical and east horizontal components is also performed in more than 35,000 100-m pixels where both types of LOS measurements are available. The main observations at CGF  include: (1) a subsidence area of size ~70 km2, with a maximum subsidence of  –27.6 mm/year for the Envisat period and lower maximum subsidence of –19.1 mm/year for the Sentinel period; (2) eastward movements in the western part of the subsidence area, with Envisat maximum of +23.9 mm/year and a lower Sentinel maximum of +15.9 mm/year; (3) westward displacements in the eastern part of the subsidence area, with Envisat maximum of  ̶ 14.2 mm/year and Sentinel maximum of –11.9 mm/year; (4) very good agreement of the InSAR observations with leveling survey data; (5) earthquake clusters in the subsidence area and hypocentral cross-sections showing clusters at various depths and migration in time; and (6) good predictions of the overall geothermal resource, based on poroelastic modeling using both leveling and InSAR data. The ultimate goal of the project is to provide geothermal operators with tools that can be used in reservoir management.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"GRC Transactions","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"2018 GRC Annual Meeting","conferenceLocation":"Reno, NV","language":"English","publisher":"Geothermal Resources Council","usgsCitation":"Eneva, M., Barbour, A., Adams, D., Hsiao, V., Blake, K., Falorni, G., and Locatelli, R., 2019, Satellite observations of surface deformation at the Coso Geothermal Field, California, <i>in</i> GRC Transactions, v. 42, Reno, NV, 1033950.","productDescription":"1033950","onlineOnly":"Y","ipdsId":"IP-098800","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":365023,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Coso Geothermal Field, Naval Air Warfare Center China Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.75730133056642,\n              35.59087713155274\n            ],\n            [\n              -117.75730133056642,\n              35.59087713155274\n            ],\n            [\n              -117.75730133056642,\n              35.59087713155274\n            ],\n            [\n              -117.75730133056642,\n              35.59087713155274\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.87231445312499,\n              35.92353244718235\n            ],\n            [\n              -117.72125244140625,\n              35.92353244718235\n            ],\n            [\n              -117.72125244140625,\n              36.0513195750255\n            ],\n            [\n              -117.87231445312499,\n              36.0513195750255\n            ],\n            [\n              -117.87231445312499,\n              35.92353244718235\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"42","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Eneva, Mariana","contributorId":167022,"corporation":false,"usgs":false,"family":"Eneva","given":"Mariana","email":"","affiliations":[{"id":24596,"text":"Imageair Inc.","active":true,"usgs":false}],"preferred":false,"id":762027,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barbour, Andrew","contributorId":215305,"corporation":false,"usgs":true,"family":"Barbour","given":"Andrew","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":762026,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Adams, David","contributorId":148050,"corporation":false,"usgs":false,"family":"Adams","given":"David","affiliations":[],"preferred":false,"id":762028,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hsiao, Vicky","contributorId":215306,"corporation":false,"usgs":false,"family":"Hsiao","given":"Vicky","email":"","affiliations":[{"id":39221,"text":"TRE Altamira Inc.","active":true,"usgs":false}],"preferred":false,"id":762029,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Blake, Kelly","contributorId":197142,"corporation":false,"usgs":false,"family":"Blake","given":"Kelly","affiliations":[],"preferred":false,"id":762030,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Falorni, Giacomo","contributorId":215307,"corporation":false,"usgs":false,"family":"Falorni","given":"Giacomo","email":"","affiliations":[{"id":39221,"text":"TRE Altamira Inc.","active":true,"usgs":false}],"preferred":false,"id":762031,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Locatelli, Roberto","contributorId":215308,"corporation":false,"usgs":false,"family":"Locatelli","given":"Roberto","email":"","affiliations":[{"id":39221,"text":"TRE Altamira Inc.","active":true,"usgs":false}],"preferred":false,"id":762032,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70203821,"text":"70203821 - 2019 - Integrating behavior and physiology into strategies for amphibian conservation","interactions":[],"lastModifiedDate":"2019-09-13T11:05:24","indexId":"70203821","displayToPublicDate":"2019-06-25T11:48:52","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3910,"text":"Frontiers in Ecology and Evolution","onlineIssn":"2296-701X","active":true,"publicationSubtype":{"id":10}},"title":"Integrating behavior and physiology into strategies for amphibian conservation","docAbstract":"The amphibian decline crisis has been challenging to address because of the complexity of factors—and their multitude of interactive effects—that drive this global issue. Dissecting such complexity could benefit from strategies that integrate multiple disciplines and address the mechanistic underpinnings of population declines and extirpations. We examine how the disciplines of behavior and physiology could be used to develop conservation strategies for amphibians and identify eight research gaps that provide future directions for the emerging fields of conservation behavior and conservation physiology. We present two case studies on imperiled salamanders that show how studies of behavior and physiology may support amphibian conservation efforts. We found several applications of stress physiology to amphibian conservation, but long-term studies are needed to understand how stress ultimately affects individual fitness and population resilience. Additionally, multiple measures of physiological health are needed to provide a more holistic assessment of an individual’s overall condition. Previous behavioral and physiological studies have been instrumental for understanding how amphibians respond to habitat modification, pathogens and parasites, contaminants, and invasive species. Some behavior-based approaches to mitigating invasive species issues have been successful in short-term studies with individual species. However, widespread application of these tactics has not yet been integrated into conservation and management strategies for ecologically-similar species. A diversity of modeling approaches has enhanced understanding of how climate change may impact amphibian populations, but model predictions need empirical tests to provide conservation managers with workable approaches to multiple perturbations associated with global environmental change. We illustrate that behavior and physiology can have broad utility for amphibian conservation, but evidence is scant that such studies have actually been used to inform strategies for amphibian conservation and management.","language":"English","publisher":"Frontiers Media","doi":"10.3389/fevo.2019.00234","usgsCitation":"Walls, S., and Gabor, C., 2019, Integrating behavior and physiology into strategies for amphibian conservation: Frontiers in Ecology and Evolution, v. 7, 234; 13 p., https://doi.org/10.3389/fevo.2019.00234.","productDescription":"234; 13 p.","ipdsId":"IP-104505","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":467501,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fevo.2019.00234","text":"Publisher Index Page"},{"id":364701,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2019-06-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Walls, Susan 0000-0001-7391-9155","orcid":"https://orcid.org/0000-0001-7391-9155","contributorId":216235,"corporation":false,"usgs":true,"family":"Walls","given":"Susan","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":764270,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gabor, Caitlin R","contributorId":216236,"corporation":false,"usgs":false,"family":"Gabor","given":"Caitlin R","affiliations":[{"id":6677,"text":"Texas State University","active":true,"usgs":false}],"preferred":false,"id":764271,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70204604,"text":"70204604 - 2019 - Seasonal precipitation influences streamflow vulnerability to the 2015 drought in the western United States","interactions":[],"lastModifiedDate":"2019-08-06T11:06:50","indexId":"70204604","displayToPublicDate":"2019-06-25T11:03:22","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2344,"text":"Journal of Hydrometeorology","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal precipitation influences streamflow vulnerability to the 2015 drought in the western United States","docAbstract":"Streamflow was exceptionally low in the spring and summer of 2015 across much of the western United States because of a regional drought that exploited the sensitivity of both snow- and rain-dominant rivers. Streamflow during 2015 was examined at 324 gauges in the region to assess its response to the amount, form, and seasonal timing of precipitation and the viability of using spatially aggregated, normative models to assess streamflow vulnerability to drought. Seasonal rain and spring snowmelt had the strongest effects on runoff during the same season, but their effects persisted into subsequent seasons as well. Below-normal runoff in the spring of 2015 was pervasive across the region, while distinct seasonal responses were evident in different hydroclimatic settings: January–March (winter) runoff was above normal in most snow-dominant rivers and runoff in all seasons was above normal for much of the desert Southwest. Summer precipitation contributed to summer runoff in both the Pacific Northwest and desert Southwest. A first-order model that presumes runoff is a constant fraction of precipitation (the precipitation elasticity of runoff, E = 1) could be used for assessing and forecasting runoff responses to precipitation deficits across the region, but runoff generally is more vulnerable to drought (E > 1) than predicted by a first-order model. Uncertainty in spring and summer precipitation forecasts remain critical issues for forecasting and predicting summer streamflow vulnerability to drought across much of the western United States.","language":"English","publisher":"AMS","doi":"10.1175/JHM-D-18-0121.1","collaboration":"NOAA","usgsCitation":"Konrad, C., 2019, Seasonal precipitation influences streamflow vulnerability to the 2015 drought in the western United States: Journal of Hydrometeorology, v. 20, p. 1261-1274, https://doi.org/10.1175/JHM-D-18-0121.1.","productDescription":"14 p.","startPage":"1261","endPage":"1274","ipdsId":"IP-087008","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":460349,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1175/jhm-d-18-0121.1","text":"Publisher Index Page"},{"id":366291,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":366280,"type":{"id":15,"text":"Index Page"},"url":"https://journals.ametsoc.org/doi/full/10.1175/JHM-D-18-0121.1"}],"volume":"20","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2019-06-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Konrad, Christopher 0000-0002-7354-547X","orcid":"https://orcid.org/0000-0002-7354-547X","contributorId":217886,"corporation":false,"usgs":true,"family":"Konrad","given":"Christopher","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":767746,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70202547,"text":"ofr20191024 - 2019 - Landscape change associated with the upper Scenic Drive landslide, La Honda, California, January 10–June 28, 2017","interactions":[],"lastModifiedDate":"2019-06-25T16:01:11","indexId":"ofr20191024","displayToPublicDate":"2019-06-25T10:35:05","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-1024","displayTitle":"Landscape Change Associated with the Upper Scenic Drive Landslide, La Honda, California, January 10–June 28, 2017","title":"Landscape change associated with the upper Scenic Drive landslide, La Honda, California, January 10–June 28, 2017","docAbstract":"<p>La Honda, California, is a small town in unincorporated San Mateo County, located on the west edge of the San Francisco Peninsula in the Santa Cruz Mountains, between San Francisco and San Jose. The Scenic Drive area of La Honda has experienced several past episodes of landslide motion, which were documented in 1998, 2005, and 2006. This report documents the movement of the upper Scenic Drive landslide that occurred between January 10 and June 28, 2017. Our mapping provides a snapshot of the 2017 upper Scenic Drive landslide, as imaged from high-resolution terrestrial laser scanner (TLS) survey data (also referred to as terrestrial lidar) that we collected January 27–28, 2017; we mapped the landforms associated with the 2017 upper Scenic Drive landslide motion using a bare-earth TLS shaded-relief base map, in addition to field observations. Our mapping is supplemented by photographs of the mapped landforms, which were taken between January 11 and 31, 2017; these photographs illustrate the development of selected landslide features. The purpose of this report is to make available the maps constructed from three-dimensional TLS data and the photographs that show the landslide morphology of the 2017 upper Scenic Drive landslide. The scope of this report is limited to the motion of the upper Scenic Drive landslide that occurred between January 10 and June 28, 2017. </p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191024","usgsCitation":"Pickering, A.J., Prentice, C.S., and DeLong, S.B., 2019, Landscape change associated with the upper Scenic Drive landslide, La Honda, California, January 10–June 28, 2017: U.S. Geological Survey Open-File Report 2019–1024, 17 p., 1 sheet, scale 1:400, https://doi.org/10.3133/ofr20191024.","productDescription":"Pamphlet: iv, 17 p.; one 32\" x 20\" Sheet; Metadata; Database","numberOfPages":"17","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-096298","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":364982,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1024/coverthb.jpg"},{"id":364983,"rank":2,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/of/2019/1024/ofr20191024_mapsheet.pdf","text":"Mapsheet","size":"4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Open-File Report 2019-1024 Sheet"},{"id":364984,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1024/ofr20191024_pamphlet.pdf","text":"Pamphlet","size":"15 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Open-File Report 2019-1024 Pamphlet"},{"id":364985,"rank":4,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/of/2019/1024/ofr20191024_metadata.txt","text":"Metadata","size":"20 KB","linkFileType":{"id":2,"text":"txt"},"description":"Open-File Report 2019-1024 Metadata"},{"id":364986,"rank":5,"type":{"id":9,"text":"Database"},"url":"https://pubs.usgs.gov/of/2019/1024/ofr20191024_gdb.zip","size":"80 KB","linkFileType":{"id":6,"text":"zip"},"description":"Open-File Report 2019-1024 Database"}],"country":"United States","state":"California","city":"La Honda","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.27036476135254,\n              37.31737642114842\n            ],\n            [\n              -122.26358413696288,\n              37.31737642114842\n            ],\n            [\n              -122.26358413696288,\n              37.32302474535866\n            ],\n            [\n              -122.27036476135254,\n              37.32302474535866\n            ],\n            [\n              -122.27036476135254,\n              37.31737642114842\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://earthquake.usgs.gov/contactus/menlo/menloloc.php\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://earthquake.usgs.gov/contactus/menlo/menloloc.php\">Earthquake Science Center</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov\">U.S. Geological Survey</a><br>345 Middlefield Road, MS 977<br>Menlo Park, California 94025</p>","tableOfContents":"<ul><li>Introduction</li><li>Geology of the Landslide Area</li><li>Methods</li><li>Observations</li><li>Rainfall and Landslide Activity</li><li>Limitations and Uncertainties</li><li>Acknowledgments</li><li>References Cited<span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><strong></strong></span></li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2019-06-25","noUsgsAuthors":false,"publicationDate":"2019-06-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Pickering, Alexandra J. 0000-0002-1281-6117 apickering@usgs.gov","orcid":"https://orcid.org/0000-0002-1281-6117","contributorId":5990,"corporation":false,"usgs":true,"family":"Pickering","given":"Alexandra","email":"apickering@usgs.gov","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":759058,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Prentice, Carol S. 0000-0003-3732-3551 cprentice@usgs.gov","orcid":"https://orcid.org/0000-0003-3732-3551","contributorId":2676,"corporation":false,"usgs":true,"family":"Prentice","given":"Carol","email":"cprentice@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":759059,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeLong, Stephen B. 0000-0002-0945-2172 sdelong@usgs.gov","orcid":"https://orcid.org/0000-0002-0945-2172","contributorId":5240,"corporation":false,"usgs":true,"family":"DeLong","given":"Stephen","email":"sdelong@usgs.gov","middleInitial":"B.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":759060,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70204357,"text":"70204357 - 2019 - Carbon dioxide emissions and methane flux from forested wetland soils of the Great Dismal Swamp, USA","interactions":[],"lastModifiedDate":"2019-08-13T15:35:09","indexId":"70204357","displayToPublicDate":"2019-06-25T09:34:06","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1547,"text":"Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Carbon dioxide emissions and methane flux from forested wetland soils of the Great Dismal Swamp, USA","docAbstract":"The Great Dismal Swamp, a freshwater forested peatland, has accumulated massive amounts of soil carbon since the postglacial period. Logging and draining have severely altered the hydrology and forest composition, leading to drier soils, accelerated oxidation, and vulnerability to disturbance. The once dominant Atlantic white cedar, cypress, and pocosin forest types are now fragmented, resulting in maple-gum forest communities replacing over half the remaining area. In order to determine the effect of environmental variabes on carbon emissions, this study observes 2 years of CO2 and CH4 soil flux, which will also help inform future management decisions. Soil emissions were measured using opaque, non-permanent chambers set into the soil. As soil moisture increased by 1 unit of soil moisture content, CH4 flux increased by 457 μg CH4–C/m2/h. As soil temperature increased by 1 °C, CO2 emissions increased by 5109 μg CO2–C/m2/h. The area of Atlantic white cedar in the study boundary has an average yearly flux of 8.6 metric tons (t) of carbon from CH4 and 3270 t of carbon from CO2; maple-gum has an average yearly flux of 923 t of carbon from CH4 and 59,843 t of carbon from CO2; pocosin has an average yearly flux of 431 t of carbon from CH4 and 15,899 t of carbon from CO2. Total Cha−1year−1 ranged from 1845 kg of Cha−1year−1 in maple-gum to 2024 kg Cha−1year−1 for Atlantic white cedar. These results show that soil carbon gas flux depends on soil moisture, temperature and forest type, which are affected by anthropogenic activities.","language":"English","publisher":"Springer","doi":"10.1007/s00267-019-01177-4","usgsCitation":"Gutenberg, L., Krauss, K., Qu, J., Ahn, C., Hogan, D.M., Zhu, Z., and Xu, C., 2019, Carbon dioxide emissions and methane flux from forested wetland soils of the Great Dismal Swamp, USA: Environmental Management, v. 64, no. 2, p. 190-200, https://doi.org/10.1007/s00267-019-01177-4.","productDescription":"11 p.","startPage":"190","endPage":"200","ipdsId":"IP-099329","costCenters":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true},{"id":5055,"text":"Land Change Science","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":467502,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00267-019-01177-4","text":"Publisher Index Page"},{"id":437407,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9KBRSO4","text":"USGS data release","linkHelpText":"Soil flux (CO2, CH4), soil temperature, and soil moisture measurements at the Great Dismal Swamp National Wildlife Refuge (2015 - 2017)"},{"id":365737,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":365733,"type":{"id":15,"text":"Index Page"},"url":"https://doi.org/10.1007/s00267-019-01177-4"}],"country":"United States","state":"North Carolina, Virginia","otherGeospatial":"Great Dismal Swamp","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -76.57264709472656,\n              36.42791246440695\n            ],\n            [\n              -76.33644104003906,\n              36.42791246440695\n            ],\n            [\n              -76.33644104003906,\n              36.77904237558059\n            ],\n            [\n              -76.57264709472656,\n              36.77904237558059\n            ],\n            [\n              -76.57264709472656,\n              36.42791246440695\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"64","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2019-06-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Gutenberg, Laurel","contributorId":217284,"corporation":false,"usgs":false,"family":"Gutenberg","given":"Laurel","email":"","affiliations":[],"preferred":false,"id":766510,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Krauss, K. W. 0000-0003-2195-0729","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":19517,"corporation":false,"usgs":true,"family":"Krauss","given":"K. W.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":766511,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Qu, John","contributorId":217285,"corporation":false,"usgs":false,"family":"Qu","given":"John","affiliations":[{"id":12909,"text":"George Mason University","active":true,"usgs":false}],"preferred":false,"id":766512,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ahn, Changwoo","contributorId":191303,"corporation":false,"usgs":false,"family":"Ahn","given":"Changwoo","email":"","affiliations":[],"preferred":false,"id":766513,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hogan, Dianna M. 0000-0003-1492-4514 dhogan@usgs.gov","orcid":"https://orcid.org/0000-0003-1492-4514","contributorId":131137,"corporation":false,"usgs":true,"family":"Hogan","given":"Dianna","email":"dhogan@usgs.gov","middleInitial":"M.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true},{"id":5064,"text":"Southeast Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":766514,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zhu, Zhiliang 0000-0002-6860-6936 zzhu@usgs.gov","orcid":"https://orcid.org/0000-0002-6860-6936","contributorId":150078,"corporation":false,"usgs":true,"family":"Zhu","given":"Zhiliang","email":"zzhu@usgs.gov","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":5055,"text":"Land Change Science","active":true,"usgs":true},{"id":505,"text":"Office of the AD Climate and Land-Use Change","active":true,"usgs":true}],"preferred":true,"id":766509,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Xu, Chenyang","contributorId":217286,"corporation":false,"usgs":false,"family":"Xu","given":"Chenyang","affiliations":[{"id":12909,"text":"George Mason University","active":true,"usgs":false}],"preferred":false,"id":766515,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70205055,"text":"70205055 - 2019 - Recognizing the Famine Early Warning Systems Network: Over 30 years of drought early warning science advances and partnerships promoting global food security","interactions":[],"lastModifiedDate":"2019-11-20T14:57:37","indexId":"70205055","displayToPublicDate":"2019-06-25T09:16:59","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1112,"text":"Bulletin of the American Meteorological Society","onlineIssn":"1520-0477","printIssn":"0003-0007","active":true,"publicationSubtype":{"id":10}},"title":"Recognizing the Famine Early Warning Systems Network: Over 30 years of drought early warning science advances and partnerships promoting global food security","docAbstract":"On a planet with more than 7 billion people, how do we identify the millions of drought-afflicted people who face a real threat of livelihood disruption or death without humanitarian assistance? Typically, these people are poor and heavily dependent on rainfed agriculture and livestock. Most live in Africa, Central America, or Southwest Asia. When the rains fail, incomes diminish while food prices increase, cutting off the poorest (most often women and children) from access to adequate nutrition. As seen in Ethiopia in 1984 and Somalia in 2011, food shortages can lead to famine. Yet these slow onset disasters also provide opportunities for effective intervention, as seen in Ethiopia in 2015 and Somalia in 2017.\n\nSince 1985, the US Agency for International Development's Famine Early Warning Systems Network (FEWS NET) has been providing evidence-based guidance for effective humanitarian relief efforts. FEWS NET depends on a Drought Early Warning System (DEWS) to help understand, monitor, model and predict food insecurity. Here we provide an overview of FEWS NET's DEWS using examples from recent climate extremes. While drought monitoring and prediction provides just one part of FEWS NET's monitoring system, it draws from many disciplines - remote sensing, climate prediction, agro-climatic monitoring, and hydrologic modeling. Here we describe FEWS NET's multi-agency multi-disciplinary DEWS and Food Security Outlooks. This DEWS uses diagnostic analyses to guide predictions.  Mid-season droughts are monitored using multiple cutting-edge earth observing systems. Crop and hydrologic models can translate these observations into impacts. This information feeds into FEWS NET reports, helping to save lives by motivating and targeting timely humanitarian assistance.","language":"English","publisher":"AMS","doi":"10.1175/BAMS-D-17-0233.1","usgsCitation":"Funk, C., Shraddhanand Shukla, Thiaw, W.M., Rowland, J., Andrew Hoell, Husak, G., and Novella, N., 2019, Recognizing the Famine Early Warning Systems Network: Over 30 years of drought early warning science advances and partnerships promoting global food security: Bulletin of the American Meteorological Society, p. 1011-1027, https://doi.org/10.1175/BAMS-D-17-0233.1.","productDescription":"17 p.","startPage":"1011","endPage":"1027","ipdsId":"IP-098117","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":467503,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1175/bams-d-17-0233.1","text":"Publisher Index Page"},{"id":367055,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Funk, Chris 0000-0002-9254-6718","orcid":"https://orcid.org/0000-0002-9254-6718","contributorId":218640,"corporation":false,"usgs":true,"family":"Funk","given":"Chris","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":false,"id":769770,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shraddhanand Shukla","contributorId":218641,"corporation":false,"usgs":false,"family":"Shraddhanand Shukla","affiliations":[{"id":16236,"text":"UCSB Climate Hazards Group","active":true,"usgs":false}],"preferred":false,"id":769771,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thiaw, Wassila Mamadou","contributorId":218642,"corporation":false,"usgs":false,"family":"Thiaw","given":"Wassila","email":"","middleInitial":"Mamadou","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":769772,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rowland, James 0000-0003-4837-3511 rowland@usgs.gov","orcid":"https://orcid.org/0000-0003-4837-3511","contributorId":145846,"corporation":false,"usgs":true,"family":"Rowland","given":"James","email":"rowland@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":769773,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Andrew Hoell","contributorId":218643,"corporation":false,"usgs":false,"family":"Andrew Hoell","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":769774,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Husak, Gregory","contributorId":145811,"corporation":false,"usgs":false,"family":"Husak","given":"Gregory","affiliations":[{"id":16236,"text":"UCSB Climate Hazards Group","active":true,"usgs":false}],"preferred":false,"id":769775,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Novella, Nicholas","contributorId":218644,"corporation":false,"usgs":false,"family":"Novella","given":"Nicholas","email":"","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":769776,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70204844,"text":"70204844 - 2019 - Shorebird subsistence harvest and indigenous knowledge in Alaska: Informing harvest assessment and management, and engaging users in shorebird conservation","interactions":[],"lastModifiedDate":"2019-08-20T08:01:50","indexId":"70204844","displayToPublicDate":"2019-06-25T08:00:28","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3551,"text":"The Condor","active":true,"publicationSubtype":{"id":10}},"title":"Shorebird subsistence harvest and indigenous knowledge in Alaska: Informing harvest assessment and management, and engaging users in shorebird conservation","docAbstract":"Limited data on harvest and population parameters are major impediments to assess shorebird harvest sustainability. Because of sharp declines in shorebird populations, timely conservation efforts require approaches that account for uncertainty in harvest sustainability. We combined harvest assessment and ethnographic research to better understand shorebird conservation concerns related to subsistence harvest in Alaska and to support culturally sensible conservation actions. Our objectives were to (1) estimate the Alaska-wide shorebird subsistence harvest and (2) document shorebird indigenous knowledge on the Yukon-Kuskokwim Delta. Harvest estimates were based on surveys conducted in 1990–2015 (n = 775 community-years). Key respondent interviews conducted in 2017 (n = 72) documented shorebird ethnotaxonomy and ethnography. The Alaska-wide shorebird harvest was 2,783 birds per year. Harvest of godwits was relatively low (1,115 birds per year) and likely included mostly Bar-tailed Godwits Limosa lapponica baueri, but this population has a low harvest potential. The egg harvest was 4,676 eggs per year, mostly small shorebird eggs. We documented 24 Yup’ik shorebird names and 10 main ethnotaxonomic categories. Children learning harvesting skills focused on small birds and adults also occasionally harvested shorebirds, but shorebirds were not primary food or cultural resources. Older generations associated shorebirds with a time when people were in closer contact with nature and their cultural roots. Shorebirds connected people with the environment as well as with Yup’ik traditions and language. Our results can inform improvements to harvest assessment and management, as well as outreach and communication efforts to engage subsistence users in shorebird conservation.","language":"English","publisher":"Oxford Academic","doi":"10.1093/condor/duz023","usgsCitation":"Liliana, N., Keating, J., Tibbitts, T.L., and Ruthrauff, D.R., 2019, Shorebird subsistence harvest and indigenous knowledge in Alaska: Informing harvest assessment and management, and engaging users in shorebird conservation: The Condor, v. 121, no. 2, duz023, https://doi.org/10.1093/condor/duz023.","productDescription":"duz023","ipdsId":"IP-099802","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":366669,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":366665,"type":{"id":15,"text":"Index Page"},"url":"https://doi.org/10.1093/condor/duz023"}],"country":"United 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Lee 0000-0002-0290-7592 ltibbitts@usgs.gov","orcid":"https://orcid.org/0000-0002-0290-7592","contributorId":102185,"corporation":false,"usgs":true,"family":"Tibbitts","given":"T.","email":"ltibbitts@usgs.gov","middleInitial":"Lee","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":768720,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ruthrauff, Daniel R. 0000-0003-1355-9156 druthrauff@usgs.gov","orcid":"https://orcid.org/0000-0003-1355-9156","contributorId":4181,"corporation":false,"usgs":true,"family":"Ruthrauff","given":"Daniel","email":"druthrauff@usgs.gov","middleInitial":"R.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":768717,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70209110,"text":"70209110 - 2019 - Enhanced landslide mobility by basal liquefaction: the 2014 SR530 (Oso), Washington landslide","interactions":[],"lastModifiedDate":"2020-03-17T07:24:07","indexId":"70209110","displayToPublicDate":"2019-06-25T07:19:46","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1786,"text":"Geological Society of America Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Enhanced landslide mobility by basal liquefaction: the 2014 SR530 (Oso), Washington landslide","docAbstract":"Landslide mobility can vastly amplify the consequences of slope failure.  As a compelling example, the March 22, 2014 landslide near Oso, Washington (USA) was particularly devastating, traveling across a 1-km+ wide river valley, killing 43 people, destroying dozens of homes, and temporarily closing a well-traveled highway. To resolve causes for the landslide’s behavior and mobility, we conducted detailed post-event field investigations and material testing.  Geologic and structure mapping revealed a progression of geomorphological structures ranging from debris flow lobes at the distal end, through hummock fields, laterally continuous landslide blocks, back-rotated blocks, and finally colluvial slides and falls at the landslide headscarp.  Primary structures, as well as stratigraphic and vegetation patterns, in the landslide deposit indicated rapid extensional motion of the approximately nine-million-m3 source volume in a closely timed sequence of events.  We identified hundreds of transient sand boils in the landslide runout zone – evidence of widespread elevated pore-water pressures with consequent shear-strength reduction at the base of the slide. During the event, underlying wet alluvium liquefied and allowed quasi-intact slide hummocks to extend and translate long distances across the flat valley. Most of the slide material itself did not liquefy. Using geotechnical testing and numerical modeling, we examined rapid undrained loading, shear and collapse of loose saturated alluvium, and strong ground shaking as potential liquefaction mechanisms.  Our analyses show that some layers in the alluvium can liquefy when sheared, as could occur with rapid undrained loading.  Simultaneous ground shaking could have contributed to pore-pressure generation as well. Two key elements, a large and rapid failure overriding wet liquefiable sediments, enabled the landslide’s high mobility.  Basal liquefaction may enhance mobility of other landslides in similar settings.","language":"English","publisher":"Geological Society of America","doi":"10.1130/B35146.1","usgsCitation":"Collins, B.D., and Reid, M.E., 2019, Enhanced landslide mobility by basal liquefaction: the 2014 SR530 (Oso), Washington landslide: Geological Society of America Bulletin, v. 132, no. 3/4, p. 451-476, https://doi.org/10.1130/B35146.1.","productDescription":"26 p.","startPage":"451","endPage":"476","ipdsId":"IP-098841","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":467504,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/b35146.1","text":"Publisher Index Page"},{"id":373309,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.62939453125001,\n              48.09275716032736\n            ],\n            [\n              -121.00341796874999,\n              48.09275716032736\n            ],\n            [\n              -121.00341796874999,\n              48.83579746243093\n            ],\n            [\n              -122.62939453125001,\n              48.83579746243093\n            ],\n            [\n              -122.62939453125001,\n              48.09275716032736\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"132","issue":"3/4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-06-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Collins, Brian D. 0000-0003-4881-5359 bcollins@usgs.gov","orcid":"https://orcid.org/0000-0003-4881-5359","contributorId":149278,"corporation":false,"usgs":true,"family":"Collins","given":"Brian","email":"bcollins@usgs.gov","middleInitial":"D.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":784960,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reid, Mark E. 0000-0002-5595-1503 mreid@usgs.gov","orcid":"https://orcid.org/0000-0002-5595-1503","contributorId":1167,"corporation":false,"usgs":true,"family":"Reid","given":"Mark","email":"mreid@usgs.gov","middleInitial":"E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":784961,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70203952,"text":"sir20195060 - 2019 - Aquifer storage change and storage properties, 2010–2017, in the Big Chino Subbasin, Yavapai County, Arizona","interactions":[],"lastModifiedDate":"2019-06-25T09:24:33","indexId":"sir20195060","displayToPublicDate":"2019-06-24T15:18:29","publicationYear":"2019","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":"2019-5060","displayTitle":"Aquifer Storage Change and Storage Properties, 2010–2017, in the Big Chino Subbasin, Yavapai County, Arizona","title":"Aquifer storage change and storage properties, 2010–2017, in the Big Chino Subbasin, Yavapai County, Arizona","docAbstract":"<p><span>The Big Chino Subbasin is a groundwater basin that includes the Verde River headwaters in Yavapai County in north-central Arizona. Groundwater in the southern part of the subbasin is found primarily in the Big Chino and Williamson Valleys. The former is a potential municipal water source for growing communities in Yavapai County, particularly groundwater from the Big Chino Water Ranch, about 15 miles northwest of the community of Paulden. Groundwater in the Big Chino Valley discharges to wells (by pumping), by evapotranspiration, and to the upper Verde River springs, which form the headwaters of the Verde River. Groundwater also discharges to short perennial reaches of Williamson Valley Wash, Walnut Creek, and a small number of small, ungaged springs and seeps. To monitor changes in groundwater storage and to identify aquifer-storage properties, a network of repeat microgravity stations and groundwater-level monitoring stations was established in the Big Chino and Williamson Valleys in 2010.</span><br><br><span>Small decreases in groundwater storage were observed throughout the study area from 2010 to 2017. Annual groundwater withdrawals for agricultural use varied between 2,800 and 4,000 acre-ft between 2013 and 2016, with an additional amount, probably less than 1,000 acre-ft, withdrawn for domestic use, primarily in the Paulden and Williamson Valley Wash areas. No local recharge events from sustained rainfall were observed during 2010 to 2017, and base-flow discharge in the Verde River near Paulden and Williamson Valley Wash near Paulden was consistently below the long-term average (for years 1964 to 2017 and 1966 to 2017, respectively) at each site. Relations between groundwater-level changes and aquifer-storage changes (determined from repeat microgravity data) indicate monitoring wells are representative primarily of semiconfined aquifer conditions in the Paulden area, the area west of Big Chino Wash, and the Big Chino Water Ranch area. Unconfined aquifer conditions are monitored in the Williamson Valley Wash area and at two sites in the Paulden area. Specific yield was estimated at five wells and ranged between 0.04 and 0.34, with a median value of 0.23.&nbsp;</span><br><br><span>Negative groundwater-level trends (increasing depth to water) were observed between 2010 and 2017 at all sites where trends were identified using the Mann-Kendall trend test, except for the northernmost reaches of Big Chino Wash within and to the north of the Big Chino Water Ranch. Groundwater storage trends were negative at all sites where trends were identified except for one site in the foothills of the Santa Maria mountains west of Big Chino Wash. Declining storage in the Big Chino Water Ranch area, where water levels show no trend or are increasing, are likely the result of drying conditions in the unsaturated zone and (or) aquifers located above the aquifer(s) monitored by wells.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195060","collaboration":"Prepared in Cooperation with the City of Prescott, the Town of Prescott Valley, and Salt River Project","usgsCitation":"Kennedy, J.R., Kahler, L.M., and Read, A.L., 2019, Aquifer storage change and storage properties, 2010–2017, in the Big Chino Subbasin, Yavapai County, Arizona: U.S. Geological Survey Scientific Investigations Report 2019–5060, 39 p., https://doi.org/10.3133/sir20195060.","productDescription":"Report: viii, 39 p.; Data release","numberOfPages":"39","onlineOnly":"Y","ipdsId":"IP-097823","costCenters":[{"id":128,"text":"Arizona Water Science 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data-mce-href=\"mailto:dc_az@usgs.gov\" href=\"mailto:dc_az@usgs.gov\" target=\"_blank\" rel=\"noopener\">Director</a>,<br><a data-mce-href=\"https://az.water.usgs.gov/\" href=\"https://az.water.usgs.gov/\" target=\"_blank\" rel=\"noopener\">Arizona Water Science Center</a><br><a data-mce-href=\"https://usgs.gov/\" href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\">U.S. Geological Survey</a><br>520 N. Park Avenue<br>Tucson, AZ 85719</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Results</li><li>Summary and Conclusions</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2019-06-24","noUsgsAuthors":false,"publicationDate":"2019-06-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Kennedy, Jeffrey R. 0000-0002-3365-6589 jkennedy@usgs.gov","orcid":"https://orcid.org/0000-0002-3365-6589","contributorId":2172,"corporation":false,"usgs":true,"family":"Kennedy","given":"Jeffrey","email":"jkennedy@usgs.gov","middleInitial":"R.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":764930,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wildermuth, Libby M. 0000-0001-5333-0968 lwildermuth@usgs.gov","orcid":"https://orcid.org/0000-0001-5333-0968","contributorId":210459,"corporation":false,"usgs":true,"family":"Wildermuth","given":"Libby","email":"lwildermuth@usgs.gov","middleInitial":"M.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":764931,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Read, Amy L. 0000-0003-2296-5500","orcid":"https://orcid.org/0000-0003-2296-5500","contributorId":216515,"corporation":false,"usgs":true,"family":"Read","given":"Amy","email":"","middleInitial":"L.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":764932,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70204075,"text":"70204075 - 2019 - Improved detection of rare, endangered and invasive trout using a new large-volume sampling method for eDNA capture","interactions":[],"lastModifiedDate":"2021-04-27T15:03:43.286874","indexId":"70204075","displayToPublicDate":"2019-06-24T12:34:37","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5840,"text":"Environmental DNA","active":true,"publicationSubtype":{"id":10}},"title":"Improved detection of rare, endangered and invasive trout using a new large-volume sampling method for eDNA capture","docAbstract":"<p><span>Environmental DNA (eDNA) detection probability increases with volume of water sampled. Common approaches for collecting eDNA samples often require many samples since these approaches usually use fine filters, which restrict the volume of water that can be sampled. An alternative to collecting many, small volume water samples using fine filters may be to collect fewer, large volume water samples using coarse filters that do not clog as rapidly. We used mesocosm experiments and field evaluations to compare coarse filter‐large water volume samples (hereafter large volume filter samples) versus fine filter‐small water volume samples (hereafter small volume filter samples) for detection and quantification of rainbow trout (</span><i>Oncorhynchus mykiss</i><span>) and bull trout (</span><i>Salvelinus confluentus</i><span>) DNA. We found that large volume filter sampling can be an effective approach for detecting DNA of low‐density target taxa. In mesocosm experiments, large‐volume and small‐volume water samples detected similar quantities of rainbow trout DNA. In the field, large volume samples more frequently detected bull trout DNA, had higher bull trout DNA copy number, and higher total DNA concentrations than small volume samples. However, sampling higher water volumes increased the potential for PCR inhibition so the DNA workflow had to be altered for large volume samples. Combining larger water volume samples with other strategies, like increasing PCR sensitivity and the number of PCR replicates, will improve detection of rare species, which is crucial for advancing conservation and ecological understanding.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/edn3.23","usgsCitation":"Sepulveda, A.J., Schabacker, J., Smith, S., Al-Chokhachy, R., Luikart, G., and Amish, S.J., 2019, Improved detection of rare, endangered and invasive trout using a new large-volume sampling method for eDNA capture: Environmental DNA, v. 1, no. 3, p. 227-237, https://doi.org/10.1002/edn3.23.","productDescription":"11 p.","startPage":"227","endPage":"237","ipdsId":"IP-104377","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":460351,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/edn3.23","text":"Publisher Index Page"},{"id":365282,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Flathead River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -115.77392578125,\n              47.4057852900587\n            ],\n            [\n              -113.477783203125,\n              47.4057852900587\n            ],\n            [\n              -113.477783203125,\n              48.98742700601184\n            ],\n            [\n              -115.77392578125,\n              48.98742700601184\n            ],\n            [\n              -115.77392578125,\n              47.4057852900587\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"1","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-06-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Sepulveda, Adam J. 0000-0001-7621-7028 asepulveda@usgs.gov","orcid":"https://orcid.org/0000-0001-7621-7028","contributorId":150628,"corporation":false,"usgs":true,"family":"Sepulveda","given":"Adam","email":"asepulveda@usgs.gov","middleInitial":"J.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":765401,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schabacker, Jenna","contributorId":216702,"corporation":false,"usgs":false,"family":"Schabacker","given":"Jenna","email":"","affiliations":[],"preferred":false,"id":765403,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Seth","contributorId":189234,"corporation":false,"usgs":false,"family":"Smith","given":"Seth","email":"","affiliations":[],"preferred":false,"id":765404,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Al-Chokhachy, Robert 0000-0002-2136-5098","orcid":"https://orcid.org/0000-0002-2136-5098","contributorId":216703,"corporation":false,"usgs":true,"family":"Al-Chokhachy","given":"Robert","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":765405,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Luikart, Gordon","contributorId":97409,"corporation":false,"usgs":false,"family":"Luikart","given":"Gordon","affiliations":[{"id":6580,"text":"University of Montana, Flathead Lake Biological Station, Polson, Montana 59860, USA","active":true,"usgs":false}],"preferred":false,"id":765406,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Amish, Stephen J.","contributorId":104799,"corporation":false,"usgs":false,"family":"Amish","given":"Stephen","email":"","middleInitial":"J.","affiliations":[{"id":5097,"text":"University of Montana, Division of Biological Sciences","active":true,"usgs":false}],"preferred":false,"id":765402,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70203696,"text":"ofr20191061 - 2019 - Supply chain infrastructure restoration calculator software tool—Developer guide and user manual","interactions":[],"lastModifiedDate":"2019-06-26T09:37:38","indexId":"ofr20191061","displayToPublicDate":"2019-06-24T11:58:01","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-1061","displayTitle":"Supply Chain Infrastructure Restoration Calculator Software Tool—Developer Guide and User Manual","title":"Supply chain infrastructure restoration calculator software tool—Developer guide and user manual","docAbstract":"<p>This report describes a software tool that calculates costs associated with the reconstruction of supply chain interdependent critical infrastructure in the advent of a catastrophic failure by either outside forces (extreme events) or internal forces (fatigue). This tool fills a gap between search and recover strategies of the Federal Emergency Management Agency (or FEMA) and construction techniques under full recovery. In addition to overall construction costs, the tool calculates reconstruction needs in terms of personnel and their required support. From these estimates, total costs (or the cost of each element to be restored) can be calculated. Estimates are based upon historic reconstruction data, although decision managers do have the choice of entering their own input data to tailor the results to a local area.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191061","usgsCitation":"Ojha, A., Kanwar, B., Long, S.K., Shoberg, T.G., and Corns, S., 2019, Supply chain infrastructure restoration calculator software tool—Developer guide and user manual: U.S. Geological Survey Open-File Report 2019–1061, 17 p., https://doi.org/10.3133/ofr20191061.","productDescription":"iv, 17 p.","numberOfPages":"26","onlineOnly":"Y","ipdsId":"IP-101221","costCenters":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"links":[{"id":364946,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1061/coverthb.jpg"},{"id":364947,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1061/ofr20191061.pdf","text":"Report","size":"2.64 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019–1061"}],"contact":"<p>Director, <a data-mce-href=\"https://www.usgs.gov/core-science-systems/ngp/ngtoc\" href=\"https://www.usgs.gov/core-science-systems/ngp/ngtoc\">National Geospatial Technical Operations Center</a> <br>U.S. Geological Survey<br>1400 Independence Road <br>Rolla, MO 65401</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Software</li><li>Mathematical Framework for the Application</li><li>Installation</li><li>Tutorial</li><li>Results</li><li>Discussion</li><li>Summary</li><li>References</li><li>Appendix 1</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2019-06-24","noUsgsAuthors":false,"publicationDate":"2019-06-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Ojha, Akhilesh","contributorId":204482,"corporation":false,"usgs":false,"family":"Ojha","given":"Akhilesh","email":"","affiliations":[{"id":36947,"text":"Department of Engineering Management and Systems Engineering, Missouri University of Science and Technology, Rolla, MO, 65401","active":true,"usgs":false}],"preferred":false,"id":763659,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kanwar, Bhanu","contributorId":216021,"corporation":false,"usgs":false,"family":"Kanwar","given":"Bhanu","email":"","affiliations":[{"id":27928,"text":"Department of Engineering Management and Systems Engineering, Missouri University of Science and Technology","active":true,"usgs":false}],"preferred":false,"id":763660,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Long, Suzanna K.","contributorId":146270,"corporation":false,"usgs":false,"family":"Long","given":"Suzanna","email":"","middleInitial":"K.","affiliations":[{"id":16655,"text":"Dept. of Engineering Management and Systems Engineering, Missouri University of Science and Technology, Rolla, MO","active":true,"usgs":false}],"preferred":false,"id":763657,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shoberg, Thomas G. 0000-0003-0173-1246 tshoberg@usgs.gov","orcid":"https://orcid.org/0000-0003-0173-1246","contributorId":3764,"corporation":false,"usgs":true,"family":"Shoberg","given":"Thomas","email":"tshoberg@usgs.gov","middleInitial":"G.","affiliations":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"preferred":true,"id":763656,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Corns, Steven","contributorId":146271,"corporation":false,"usgs":false,"family":"Corns","given":"Steven","affiliations":[{"id":16655,"text":"Dept. of Engineering Management and Systems Engineering, Missouri University of Science and Technology, Rolla, MO","active":true,"usgs":false}],"preferred":false,"id":763658,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70215499,"text":"70215499 - 2019 - Variability in synthetic earthquake ground motions caused by source variability and errors in wave propagation models","interactions":[],"lastModifiedDate":"2020-10-21T15:30:34.656635","indexId":"70215499","displayToPublicDate":"2019-06-24T10:26:30","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1803,"text":"Geophysical Journal International","active":true,"publicationSubtype":{"id":10}},"title":"Variability in synthetic earthquake ground motions caused by source variability and errors in wave propagation models","docAbstract":"<p class=\"chapter-para\">Numerical simulations of earthquake ground motions are used both to anticipate the effects of hypothetical earthquakes by forward simulation and to infer the behaviour of the real earthquake source ruptures by the inversion of recorded ground motions. In either application it is necessary to assume some Earth structure that is necessarily inaccurate and to use a computational method that is also inaccurate for simulating the wavefield Green's functions. We refer to these two sources of error as ‘propagation inaccuracies’, which might be considered to be epistemic. We show that the variance of the Fourier spectrum of the synthetic earthquake seismograms caused by propagation inaccuracies is related to the spatial covariance on the rupture surface of errors in the computed Green's functions, which we estimate for the case of the 2009 L'Aquila, Italy, earthquake by comparing erroneous computed Green's functions with observed L'Aquila aftershock seismograms (empirical Green's functions). We further show that the variance of the synthetic seismograms caused by the rupture variability (aleatory uncertainty) is related to the spatial covariance on the rupture surface of aleatory variations in the rupture model, and we investigate the effect of correlated variations in Green's function errors and variations in rupture models. Thus, we completely characterize the variability of synthetic earthquake seismograms induced by errors in propagation and variability in the rupture behaviour. We calculate the spectra of the variance of the ground motions of the L'Aquila main shock caused by propagation inaccuracies for two specific broad-band stations, the AQU and the FIAM stations. These variances are distressingly large, being comparable or in some cases exceeding the data amplitudes, suggesting that the best-fitting L'Aquila rupture model significantly overfits the data and might be seriously in error. If these computed variances are typical, the accuracy of many other rupture models for past earthquakes may need to be reconsidered. The results of this work might be useful in seismic hazard estimation because the variability of the computed ground motion, caused both by propagation inaccuracies and variations in the rupture model, can be computed directly, not requiring laborious consideration of multiple Earth structures.</p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/gji/ggz275","usgsCitation":"Spudich, P.A., Cirella, A., Scognamiglio, L., and Tinti, E., 2019, Variability in synthetic earthquake ground motions caused by source variability and errors in wave propagation models: Geophysical Journal International, v. 219, no. 1, p. 346-372, https://doi.org/10.1093/gji/ggz275.","productDescription":"27 p.","startPage":"346","endPage":"372","ipdsId":"IP-101827","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":467505,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/gji/ggz275","text":"Publisher Index Page"},{"id":379592,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"219","issue":"1","noUsgsAuthors":false,"publicationDate":"2019-06-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Spudich, Paul A. 0000-0002-9484-4997","orcid":"https://orcid.org/0000-0002-9484-4997","contributorId":243550,"corporation":false,"usgs":true,"family":"Spudich","given":"Paul","email":"","middleInitial":"A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":802512,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cirella, Antonella","contributorId":200468,"corporation":false,"usgs":false,"family":"Cirella","given":"Antonella","email":"","affiliations":[],"preferred":false,"id":802513,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scognamiglio, Laura","contributorId":200469,"corporation":false,"usgs":false,"family":"Scognamiglio","given":"Laura","email":"","affiliations":[],"preferred":false,"id":802514,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tinti, Elisa","contributorId":200470,"corporation":false,"usgs":false,"family":"Tinti","given":"Elisa","email":"","affiliations":[],"preferred":false,"id":802515,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70203202,"text":"sir20195036 - 2019 - ModelMuse Version 4: A graphical user interface for MODFLOW 6","interactions":[],"lastModifiedDate":"2019-06-25T11:59:32","indexId":"sir20195036","displayToPublicDate":"2019-06-24T10:00:00","publicationYear":"2019","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":"2019-5036","displayTitle":"ModelMuse Version 4: A Graphical User Interface for MODFLOW 6","title":"ModelMuse Version 4: A graphical user interface for MODFLOW 6","docAbstract":"ModelMuse, a graphical user interface for groundwater-modeling software, was modified to support MODFLOW 6. ModelMuse works with two types of spatial discretization in MODFLOW 6: structured grids (DIS) and discretization by vertices (DISV). Quadtree refinement is used to generate a DISV model from a structured-grid model. The locations and weights for ghost nodes used to improve DISV model accuracy are computed automatically by ModelMuse using a new algorithm. ModelMuse does not support other types of DISV grids and unstructured grids. ModelMuse supports options in MODFLOW 6 that designate individual cells as confined or convertible and remove inactive cells associated with discontinuous layers, thereby reducing the computational burden. ModelMuse can specify fully three-dimensional (3D), spatially variable anisotropy in hydraulic conductivity. Although MODFLOW 6 does not support the parameters supported by MODFLOW–2005, ModelMuse provides backward compatibility by allowing ModelMuse parameters to specify scale-factor variables in MODFLOW 6 time-series files within packages that support time-series files. ModelMuse can automatically convert the data for many of the packages from other MODFLOW models to the new data for these packages in MODFLOW 6. Some packages, such as the Streamflow-Routing (SFR) package, changed significantly enough that only a partial conversion is possible. Head and flow observations in older models are also converted to observation locations in the MODFLOW 6 Observation utility. ModelMuse accommodates the ability of MODFLOW 6 to store specific discharge components by allowing the user to visualize the components of a specific discharge on the model grid. ModelMuse supports the versions of MODPATH and ZONEBUDGET compatible with MODFLOW 6.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195036","usgsCitation":"Winston, R.B., 2019, ModelMuse version 4—A graphical user interface for MODFLOW 6: U.S. Geological Survey Scientific Investigations Report 2019–5036, 10 p.,  https://doi.org/10.3133/sir20195036.","productDescription":"v, 10 p.","numberOfPages":"18","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-101951","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":437409,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P974NRIX","text":"USGS data release","linkHelpText":"ModelMuse version 4.2"},{"id":437408,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9X9NW2V","text":"USGS data release","linkHelpText":"Software Release ModelMuse Version 4.1"},{"id":364718,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5036/sir20195036.pdf","text":"Report","size":"627 KB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019-5036"},{"id":364717,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5036/coverthb.jpg"},{"id":364787,"rank":3,"type":{"id":18,"text":"Project Site"},"url":" https://www.usgs.gov/software/modelmuse-a-graphical-user-interface-groundwater-models","linkHelpText":"- Software -- ModelMuse: A Graphical User Interface for Groundwater Models"}],"contact":"<p>Director, Integrated Modeling and Prediction Division<br>U.S. Geological Survey<br>MS 415 National Center<br>12201 Sunrise Valley Drive<br>Reston, VA 20192</p><p><a href=\"https://pubs.er.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgements</li><li>Abstract</li><li>Introduction</li><li>Working with Discretization by Vertices Grids</li><li>Specification of Data With Objects</li><li>Ghost-Node Correction Package</li><li>XT3D Option</li><li>Convertible Cells in MODFLOW 6</li><li>Simulating Discontinuous Layers</li><li>Model Features</li><li>Specific Discharge</li><li>Postprocessors</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2019-06-24","noUsgsAuthors":false,"publicationDate":"2019-06-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Winston, Richard B. 0000-0002-6287-8834 rbwinst@usgs.gov","orcid":"https://orcid.org/0000-0002-6287-8834","contributorId":3567,"corporation":false,"usgs":true,"family":"Winston","given":"Richard","email":"rbwinst@usgs.gov","middleInitial":"B.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":761630,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70203963,"text":"70203963 - 2019 - Densities, diets, and growth rates of larval Alewife and Bloater in a changing Lake Michigan ecosystem.","interactions":[],"lastModifiedDate":"2019-08-13T15:53:35","indexId":"70203963","displayToPublicDate":"2019-06-24T09:37:04","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Densities, diets, and growth rates of larval Alewife and Bloater in a changing Lake Michigan ecosystem.","docAbstract":"<p><span>Variability in abiotic and biotic factors during larval stages has profound impacts on fish recruitment. In Lake Michigan, where the composition of lower trophic levels has undergone considerable changes in the past decade, managers are concerned that fish recruitment could be negatively affected. We hypothesized that spatial variation in Lake Michigan larval fish density and growth can be explained by various environmental predictor variables. In July 2015, we sampled larval fish and zooplankton at 24 sites (distributed among eight transects) around Lake Michigan. We measured larval fish densities and estimated growth rates and diets of the two most abundant species: the Alewife&nbsp;</span><i>Alosa pseudoharengus</i><span>&nbsp;and Bloater&nbsp;</span><i>Coregonus hoyi</i><span>&nbsp;(prey fish that represented 89% and 4% of the total catch, respectively). Larval Alewife densities at a given site ranged from 0 to 42.57 larvae/100&nbsp;m</span><sup>3</sup><span>, but no explanatory variables explained the variation. Alewife mean growth rate equaled 0.50&nbsp;mm/d, and fish age and zooplankton density best explained growth variation across sites. Larval Bloater densities ranged from 0 to 1.16 larvae/100&nbsp;m</span><sup>3</sup><span>, and mean growth rate was 0.21&nbsp;mm/d. Across all sites, 67% of larval Alewife stomachs were empty, whereas only 16% of Bloater stomachs were empty. Larval fish growth rates observed in our study were at least 40% slower than those reported in previous decades for both Alewife and Bloater. Worsening prey environment for pelagic larvae, such as Alewife and Bloater, during the era of abundant dreissenid mussels could reduce the probability of strong year‐classes, which in turn may affect growth and survival of recreationally important salmonine predators.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/tafs.10171","usgsCitation":"Eppehimer, D.E., Bunnell, D.B., Dieter, P., Warner, D., Eaton, L.A., Wells, D.J., and Rutherford, E.S., 2019, Densities, diets, and growth rates of larval Alewife and Bloater in a changing Lake Michigan ecosystem.: Transactions of the American Fisheries Society, v. 148, no. 4, p. 755-770, https://doi.org/10.1002/tafs.10171.","productDescription":"16 p.","startPage":"755","endPage":"770","ipdsId":"IP-099102","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":467506,"rank":0,"type":{"id":41,"text":"Open Access External Repository 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Center","active":true,"usgs":true}],"preferred":true,"id":764992,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dieter, Patricia 0000-0003-1686-2679","orcid":"https://orcid.org/0000-0003-1686-2679","contributorId":216542,"corporation":false,"usgs":true,"family":"Dieter","given":"Patricia","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":764994,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Warner, David 0000-0003-4939-5368","orcid":"https://orcid.org/0000-0003-4939-5368","contributorId":216543,"corporation":false,"usgs":true,"family":"Warner","given":"David","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":764995,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Eaton, Lauren 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,{"id":70203981,"text":"70203981 - 2019 - The evolving threat of rapid Ohia death (ROD) to Hawaii’s native ecosystems and rare plant species","interactions":[],"lastModifiedDate":"2019-06-26T09:32:44","indexId":"70203981","displayToPublicDate":"2019-06-24T09:23:44","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"displayTitle":"The evolving threat of Rapid ‘Ōhi‘a Death (ROD) to Hawai‘i’s native ecosystems and rare plant species","title":"The evolving threat of rapid Ohia death (ROD) to Hawaii’s native ecosystems and rare plant species","docAbstract":"<p><span>Hawai‘i’s most widespread native tree, ‘ōhi‘a lehua (</span><i>Metrosideros polymorpha</i><span>), has been dying across large areas of Hawai‘i Island mainly due to two fungal pathogens (</span><i>Ceratocystis lukuohia</i><span>&nbsp;and&nbsp;</span><i>Ceratocystis huliohia</i><span>) that cause a disease collectively known as Rapid ‘Ōhi‘a Death (ROD). Here we examine patterns of positive detections of&nbsp;</span><i>C. lukuohia</i><span>&nbsp;as it has been linked to the larger mortality events across Hawai‘i Island. Our analysis compares the environmental range of&nbsp;</span><i>C. lukuohia</i><span>&nbsp;and its spread over time through the known climatic range and distribution of ‘ōhi‘a. Analyses show this fungal pathogen generally encompassed the core, but not the extremes of the climatic range of ‘ōhi‘a. We further modeled the potential distribution of&nbsp;</span><i>C. lukuohia</i><span>across the Hawaiian Archipelago to estimate the risk of ROD to other islands. Given the potential for&nbsp;</span><i>C. lukuohia</i><span>&nbsp;to alter the structure of ‘ōhi‘a dominated forests, we used our projected potential distribution of&nbsp;</span><i>C. lukuohia</i><span>&nbsp;to assess the risk of ROD to threatened and endangered plant species across Hawai‘i. Many native plants are likely vulnerable to these types of large ‘ōhi‘a mortality events: of 234 endangered native plant species considered, 147 (62.8%) have more than half of their range within current and expanding&nbsp;</span><i>C. lukuohia</i><span>&nbsp;suitable areas. We also found evidence that protecting habitat by fencing out introduced feral ungulates reduces the prevalence of the disease likely by reducing physical damage caused by these animals to ‘ōhi‘a trees, a precondition for&nbsp;</span><i>Ceratocystis</i><span>&nbsp;infection. Given the ongoing spread of&nbsp;</span><i>C. lukuohia</i><span>, we developed a dynamic web portal to host our results online, where models and analyses are updated with new lab-confirmed detections to provide managers with a useful tool to help monitor and assess the risk of&nbsp;</span><i>C. lukuohia</i><span>&nbsp;as it continues to spread.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.foreco.2019.06.025","usgsCitation":"Fortini, L., Kaiser, L.R., Keith, L., Price, J., Hughes, R., Jacobi, J.D., and Friday, J.B., 2019, The evolving threat of rapid Ohia death (ROD) to Hawaii’s native ecosystems and rare plant species: Forest Ecology and Management, v. 448, p. 376-385, https://doi.org/10.1016/j.foreco.2019.06.025.","productDescription":"10 p.","startPage":"376","endPage":"385","ipdsId":"IP-106268","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":437410,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P94ESGQB","text":"USGS data release","linkHelpText":"Hawaiian Islands Ceratocystis rapid ohia death spatial analysis 2019"},{"id":365055,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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,{"id":70206016,"text":"70206016 - 2019 - Seasonal and spatial variation in the location and reactivity of a nitrate-contaminated groundwater discharge zone in a lakebed","interactions":[],"lastModifiedDate":"2019-10-17T07:55:04","indexId":"70206016","displayToPublicDate":"2019-06-24T07:53:38","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2320,"text":"Journal of Geophysical Research: Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal and spatial variation in the location and reactivity of a nitrate-contaminated groundwater discharge zone in a lakebed","docAbstract":"Groundwater discharge delivering anthropogenic N from surrounding watersheds can impact lake nutrient budgets.  However,  upgradient groundwater processes and changing dynamics in N biogeochemistry at the groundwater-lake interface are complex and difficult to resolve.  In this study, hydrograph variations in a groundwater flow-through lake altered discharge patterns of a wastewater-derived, groundwater contaminant plume, thereby affecting biogeochemical processes controlling N transport.  Groundwater geochemistry 15 cm under the lakebed along transects perpendicular to shore varied from oxic to anoxic with increasing nitrate concentrations (10-75 M) and corresponding gradients in nitrite and nitrous oxide.  Porewater depth profiles of nitrate concentrations and stable isotope compositions largely reflected upgradient groundwater N sources and N-cycle processes, with minor additional nitrate reduction in the shallowest lakebed sediments.  Potential denitrification rates determined in laboratory microcosms were 10-100 fold higher in near-surface sediments (0-5 cm) than in deeper sediments (5-30 cm) and were correlated with sediment carbon content and abundance of denitrification genes (nirS, nosZI, and nosZII).    Potential anammox-driven N2 production was highest in deeper anoxic sediments.  Injection of bromide and nitrite in the lake sediments indicated a vertical porewater velocity of 4-5 cm hr-1, with highest nitrite consumption rates above 10 cm.  However, short residence times in the shallow sediments allowed only a small fraction of the contaminant nitrate to be removed before discharging into the lake.  Results demonstrate the importance of resolving local versus upgradient biogeochemical processes affecting contaminant distribution in discharge areas, and transient migration of local gradients and processes in response to changing lake levels and groundwater flow paths.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2018JG004635","usgsCitation":"Smith, R.L., Repert, D.A., Stoliker, D., Kent, D.B., Song, B., LeBlanc, D.R., McCobb, T.D., Bohlke, J., Hyun, S.P., and Moon, H.S., 2019, Seasonal and spatial variation in the location and reactivity of a nitrate-contaminated groundwater discharge zone in a lakebed: Journal of Geophysical Research: Biogeosciences, v. 124, no. 7, p. 2186-2207, https://doi.org/10.1029/2018JG004635.","productDescription":"22 p.","startPage":"2186","endPage":"2207","ipdsId":"IP-098164","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":467507,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://scholarworks.wm.edu/vimsarticles/1678","text":"Publisher Index Page"},{"id":437412,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P98KJC3K","text":"USGS data release","linkHelpText":"Seasonal and spatial variation in the location and reactivity of a nitrate-contaminated groundwater discharge zone in a lakebed"},{"id":437411,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P95E6LQ2","text":"USGS data release","linkHelpText":"Natural gradient, lakebed tracer tests using nitrite in a nitrate-contaminated groundwater discharge zone in Ashumet Pond, Massachusetts"},{"id":368361,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"124","issue":"7","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-07-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, Richard L. 0000-0002-3829-0125 rlsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-3829-0125","contributorId":1592,"corporation":false,"usgs":true,"family":"Smith","given":"Richard","email":"rlsmith@usgs.gov","middleInitial":"L.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":true,"id":773301,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Repert, Deborah A. 0000-0001-7284-1456 darepert@usgs.gov","orcid":"https://orcid.org/0000-0001-7284-1456","contributorId":2578,"corporation":false,"usgs":true,"family":"Repert","given":"Deborah","email":"darepert@usgs.gov","middleInitial":"A.","affiliations":[{"id":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":true,"id":773302,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stoliker, Deborah 0000-0002-7956-2975 dlstoliker@usgs.gov","orcid":"https://orcid.org/0000-0002-7956-2975","contributorId":216631,"corporation":false,"usgs":true,"family":"Stoliker","given":"Deborah","email":"dlstoliker@usgs.gov","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":true,"id":773303,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kent, Douglas B. 0000-0003-3758-8322 dbkent@usgs.gov","orcid":"https://orcid.org/0000-0003-3758-8322","contributorId":1871,"corporation":false,"usgs":true,"family":"Kent","given":"Douglas","email":"dbkent@usgs.gov","middleInitial":"B.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":773304,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Song, Bongkeun","contributorId":167262,"corporation":false,"usgs":false,"family":"Song","given":"Bongkeun","email":"","affiliations":[{"id":24668,"text":"University of North Carolina, Wilmington","active":true,"usgs":false}],"preferred":false,"id":773305,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"LeBlanc, Denis R. 0000-0002-4646-2628 dleblanc@usgs.gov","orcid":"https://orcid.org/0000-0002-4646-2628","contributorId":1696,"corporation":false,"usgs":true,"family":"LeBlanc","given":"Denis","email":"dleblanc@usgs.gov","middleInitial":"R.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":773306,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McCobb, Timothy D. 0000-0003-1533-847X tmccobb@usgs.gov","orcid":"https://orcid.org/0000-0003-1533-847X","contributorId":219837,"corporation":false,"usgs":true,"family":"McCobb","given":"Timothy","email":"tmccobb@usgs.gov","middleInitial":"D.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":773307,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bohlke, J.K. 0000-0001-5693-6455 jkbohlke@usgs.gov","orcid":"https://orcid.org/0000-0001-5693-6455","contributorId":191103,"corporation":false,"usgs":true,"family":"Bohlke","given":"J.K.","email":"jkbohlke@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":true,"id":773308,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hyun, Sung Pil","contributorId":167732,"corporation":false,"usgs":false,"family":"Hyun","given":"Sung","email":"","middleInitial":"Pil","affiliations":[{"id":24820,"text":"Korea Institute of Geoscience and Mineral Resources","active":true,"usgs":false}],"preferred":false,"id":773309,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Moon, Hee Sun","contributorId":167734,"corporation":false,"usgs":false,"family":"Moon","given":"Hee","email":"","middleInitial":"Sun","affiliations":[{"id":24820,"text":"Korea Institute of Geoscience and Mineral Resources","active":true,"usgs":false}],"preferred":false,"id":773310,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70204158,"text":"70204158 - 2019 - Review: Endophytic microbes and their potential applications in crop management","interactions":[],"lastModifiedDate":"2019-09-16T12:21:37","indexId":"70204158","displayToPublicDate":"2019-06-22T14:29:55","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3035,"text":"Pest Management Science","active":true,"publicationSubtype":{"id":10}},"title":"Review: Endophytic microbes and their potential applications in crop management","docAbstract":"<p>Endophytes are microbes (mostly bacteria and fungi) present in plants. Endophytic microbes are often functional in that they may carry nutrients from the soil into plants, modulate plant development, increase stress tolerance of plants, suppress virulence in pathogens, increase disease resistance in plants, and suppress development of competitor plant species. Endophytic microbes have been shown: 1) obtain nutrients in soils and transfer nutrients to plants in the rhizophagy cycle and other nutrient‐transfer symbioses; 2) increase plant growth and development; 3) reduce oxidative stress of hosts; 4) protect plants from disease; 5) deter feeding by herbivores; and 6) suppress growth of competitor plant species. Because of the effective functions of endophytic microbes, we suggest that endophytic microbes may significantly reduce use of agrochemicals (fertilizers, fungicides, insecticides, and herbicides) in the cultivation of crop plants. The loss of endophytic microbes from crop plants during domestication and long‐term cultivation could be remedied by transfer of endophytes from wild relatives of crops to crop species. Increasing atmospheric carbon dioxide levels could reduce the efficiency of the rhizophagy cycle due to repression of reactive oxygen used to extract nutrients from microbes in roots.</p>","language":"English","publisher":"Wiley","doi":"10.1002/ps.5527","usgsCitation":"White, J., Kingsley, K.L., Elmore, M.T., Verma, S.K., Gond, S.K., and Kowalski, K., 2019, Review: Endophytic microbes and their potential applications in crop management: Pest Management Science, v. 75, no. 10, p. 2558-2565, https://doi.org/10.1002/ps.5527.","productDescription":"8 P.","startPage":"2558","endPage":"2565","ipdsId":"IP-106524","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":467508,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ps.5527","text":"Publisher Index Page"},{"id":365392,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":365388,"type":{"id":15,"text":"Index Page"},"url":"https://onlinelibrary.wiley.com/doi/abs/10.1002/ps.5527"}],"volume":"75","issue":"10","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2019-07-27","publicationStatus":"PW","contributors":{"authors":[{"text":"White, James F.","contributorId":152046,"corporation":false,"usgs":false,"family":"White","given":"James F.","affiliations":[],"preferred":false,"id":765750,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kingsley, Kathryn L.","contributorId":203176,"corporation":false,"usgs":false,"family":"Kingsley","given":"Kathryn","email":"","middleInitial":"L.","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":765751,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Elmore, Matthew T.","contributorId":206820,"corporation":false,"usgs":false,"family":"Elmore","given":"Matthew","email":"","middleInitial":"T.","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":765752,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Verma, Satish Kumar","contributorId":203175,"corporation":false,"usgs":false,"family":"Verma","given":"Satish","email":"","middleInitial":"Kumar","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":765753,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gond, Surendra K","contributorId":216841,"corporation":false,"usgs":false,"family":"Gond","given":"Surendra","email":"","middleInitial":"K","affiliations":[{"id":39528,"text":"Banaras Hindu University","active":true,"usgs":false}],"preferred":false,"id":765754,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"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":765749,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70203973,"text":"70203973 - 2019 - Subsurface water piping prevents meromixis in a deep volcanic crater lake (Dominica, West Indies)","interactions":[],"lastModifiedDate":"2019-08-15T07:47:39","indexId":"70203973","displayToPublicDate":"2019-06-22T13:37:43","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1919,"text":"Hydrobiologia","onlineIssn":"1573-5117","printIssn":"0018-8158","active":true,"publicationSubtype":{"id":10}},"title":"Subsurface water piping prevents meromixis in a deep volcanic crater lake (Dominica, West Indies)","docAbstract":"Boeri Lake—a small (3.6 ha) but deep (39.6 m) crater lake on Morne Micotrin in Dominica, West Indies—presents a limnological enigma; it exhibits strong morphometric and circumstantial evidence for meromixis, yet it is not stratified. We tested the hypothesis that water seepage from Boeri Lake overcomes morphometric drivers of stratification and prevents the onset of meromixis. We compared water chemistry and plankton community composition in Boeri Lake to perennial streams on Morne Micotrin to assess if water discharging from these springs originates in Boeri Lake. Lacustrine phytoplankton and zooplankton taxa were detected in nearby streams, which also had similar water chemistry to Boeri Lake. In contrast, two other streams that drain Morne Micotrin and one neighboring reference stream had little in common with waters from Boeri Lake. This suggests that Boeri Lake’s anomalous limnology is explained by hydrologic connectivity to nearby flanking streams, and supports our hypothesis that subsurface water piping, combined with high annual rainfall, stymies the onset of meromixis. We provide an explanation for how holomictic lakes can persist and transport organisms through the ground in tropical mountain ecosystems and discuss implications of consistent water piping for plankton community assembly on island lakes.","language":"English","publisher":"Springer","doi":"10.1007/s10750-019-04000-7","usgsCitation":"Maitland, B.M., O’Malley, B., and Stewart, D.J., 2019, Subsurface water piping prevents meromixis in a deep volcanic crater lake (Dominica, West Indies): Hydrobiologia, v. 839, no. 1, p. 119-130, https://doi.org/10.1007/s10750-019-04000-7.","productDescription":"12 p.","startPage":"119","endPage":"130","ipdsId":"IP-105482","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":365024,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Dominica","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -61.6387939453125,\n              15.151671572942313\n            ],\n            [\n              -61.0675048828125,\n              15.151671572942313\n            ],\n            [\n              -61.0675048828125,\n              15.739388446649146\n            ],\n            [\n              -61.6387939453125,\n              15.739388446649146\n            ],\n            [\n              -61.6387939453125,\n              15.151671572942313\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"839","issue":"1","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2019-06-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Maitland, Bryan M. 0000-0002-4491-5064","orcid":"https://orcid.org/0000-0002-4491-5064","contributorId":216559,"corporation":false,"usgs":false,"family":"Maitland","given":"Bryan","email":"","middleInitial":"M.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":765043,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"O’Malley, Brian 0000-0001-5035-3080 bomalley@usgs.gov","orcid":"https://orcid.org/0000-0001-5035-3080","contributorId":216560,"corporation":false,"usgs":true,"family":"O’Malley","given":"Brian","email":"bomalley@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":765044,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stewart, Donald J. 0000-0002-1138-4834","orcid":"https://orcid.org/0000-0002-1138-4834","contributorId":216561,"corporation":false,"usgs":false,"family":"Stewart","given":"Donald","email":"","middleInitial":"J.","affiliations":[{"id":12623,"text":"State University of New York College of Environmental Science and Forestry","active":true,"usgs":false}],"preferred":false,"id":765045,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70206621,"text":"70206621 - 2019 - Authigenic mineral texture in submarine 1979 basalt drill core, Surtsey volcano, Iceland","interactions":[],"lastModifiedDate":"2019-11-15T15:20:50","indexId":"70206621","displayToPublicDate":"2019-06-22T08:09:53","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1757,"text":"Geochemistry, Geophysics, Geosystems","active":true,"publicationSubtype":{"id":10}},"title":"Authigenic mineral texture in submarine 1979 basalt drill core, Surtsey volcano, Iceland","docAbstract":"Micrometer-scale maps of authigenic microstructures in submarine basaltic tuff specimens from a 1979 Surtsey volcano, Iceland, drill core acquired 15 years after eruptions terminated provide fresh perspectives for deciphering the initial alteration of oceanic basalt in a low temperature hydrothermal system. A novel investigative approach integrates synchrotron source X-ray microdiffraction (µXRD), X-ray microfluoresence (µXRF), micro-computed tomography (µCT), and scanning transmission electron microscopy (S/TEM) coupled with Raman spectroscopy to create finely resolved spatial frameworks that record a continuum of alteration in glass and olivine. Micro-analytical maps of vesicular and fractured lapilli in specimens from 157.1, 137.9, and 102.6 m depth, and borehole temperatures of 83, 93.9 and 141.3 °C measured in 1980, respectively, record the production of nanocrystalline clay mineral, zeolites, and Al-tobermorite in diverse microenvironments. Nanocrystalline clay mineral (nontronite) and zeolite (amicite) texture in linear microstructures have concentrically-oriented crystallographic preferred orientation. Raman spectra indicating degraded organic carbonaceous matter are associated with nanocrystalline clay mineral in 10–25 nm, sub-circular nanoscale cavities in altered glass at 137.9 m depth and in a concentrically-layered, crystallographically-oriented linear microstructure in altered olivine at 102.6 m. These features have little resemblance to previously described alteration features in basalt. Irregular alteration fronts between fresh and altered glass at 157.1 depth, however, show a resemblance to microchannels in older basalts. The integrated analyses describe the complex organization of previously unrecognized mineral textures in very young basalt and provide a foundational mineralogical reference for longitudinal, time-lapse characterizations of palagonitized basalt in oceanic environments.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019GC008304","usgsCitation":"Jackson, M., Couper, S., Stan, S., Ivarsson, M., Czabaj, M., Tamura, N., Parkinson, D., Miyagi, L., and Moore, J.G., 2019, Authigenic mineral texture in submarine 1979 basalt drill core, Surtsey volcano, Iceland: Geochemistry, Geophysics, Geosystems, v. 20, no. 7, p. 3751-3773, https://doi.org/10.1029/2019GC008304.","productDescription":"23 p.","startPage":"3751","endPage":"3773","ipdsId":"IP-108238","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":467509,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1029/2019gc008304","text":"External Repository"},{"id":369190,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Iceland","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-14.5087,66.45589],[-14.73964,65.80875],[-13.60973,65.12667],[-14.90983,64.36408],[-17.79444,63.67875],[-18.65625,63.49638],[-19.97275,63.64363],[-22.76297,63.96018],[-21.77848,64.40212],[-23.95504,64.89113],[-22.1844,65.08497],[-22.22742,65.37859],[-24.32618,65.61119],[-23.65051,66.26252],[-22.13492,66.41047],[-20.57628,65.73211],[-19.05684,66.2766],[-17.79862,65.99385],[-16.16782,66.52679],[-14.5087,66.45589]]]},\"properties\":{\"name\":\"Iceland\"}}]}","volume":"20","issue":"7","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-07-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Jackson, M.D.","contributorId":220563,"corporation":false,"usgs":false,"family":"Jackson","given":"M.D.","email":"","affiliations":[{"id":13252,"text":"University of Utah","active":true,"usgs":false}],"preferred":false,"id":775203,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Couper, S.","contributorId":220564,"corporation":false,"usgs":false,"family":"Couper","given":"S.","email":"","affiliations":[{"id":13252,"text":"University of Utah","active":true,"usgs":false}],"preferred":false,"id":775204,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stan, S.V.","contributorId":220565,"corporation":false,"usgs":false,"family":"Stan","given":"S.V.","email":"","affiliations":[{"id":13621,"text":"Lawrence Livermore National Laboratory","active":true,"usgs":false}],"preferred":false,"id":775205,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ivarsson, M.","contributorId":220566,"corporation":false,"usgs":false,"family":"Ivarsson","given":"M.","email":"","affiliations":[{"id":35818,"text":"University of Southern Denmark","active":true,"usgs":false}],"preferred":false,"id":775206,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Czabaj, M.W.","contributorId":220567,"corporation":false,"usgs":false,"family":"Czabaj","given":"M.W.","email":"","affiliations":[{"id":13252,"text":"University of Utah","active":true,"usgs":false}],"preferred":false,"id":775207,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tamura, N.","contributorId":220568,"corporation":false,"usgs":false,"family":"Tamura","given":"N.","email":"","affiliations":[{"id":38900,"text":"Lawrence Berkeley National Laboratory","active":true,"usgs":false}],"preferred":false,"id":775208,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Parkinson, D.","contributorId":220569,"corporation":false,"usgs":false,"family":"Parkinson","given":"D.","email":"","affiliations":[{"id":38900,"text":"Lawrence Berkeley National Laboratory","active":true,"usgs":false}],"preferred":false,"id":775209,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Miyagi, L.M.","contributorId":220570,"corporation":false,"usgs":false,"family":"Miyagi","given":"L.M.","email":"","affiliations":[{"id":13252,"text":"University of Utah","active":true,"usgs":false}],"preferred":false,"id":775210,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Moore, James G. 0000-0002-7543-2401 jmoore@usgs.gov","orcid":"https://orcid.org/0000-0002-7543-2401","contributorId":2892,"corporation":false,"usgs":true,"family":"Moore","given":"James","email":"jmoore@usgs.gov","middleInitial":"G.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":775211,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70203343,"text":"fs20193030 - 2019 - Assessment of undiscovered oil and gas resources of the Sirte and Pelagian Basin Provinces of Libya, Tunisia, Malta, and Italy, 2019","interactions":[],"lastModifiedDate":"2019-06-24T15:16:09","indexId":"fs20193030","displayToPublicDate":"2019-06-21T16:30:30","publicationYear":"2019","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":"2019-3030","displayTitle":"Assessment of Undiscovered Oil and Gas Resources of the Sirte and Pelagian Basin Provinces of Libya, Tunisia, Malta, and Italy, 2019","title":"Assessment of undiscovered oil and gas resources of the Sirte and Pelagian Basin Provinces of Libya, Tunisia, Malta, and Italy, 2019","docAbstract":"<p>Using a geology-based assessment methodology, the U.S. Geological Survey estimated undiscovered, technically recoverable mean resources of 16.4 billion barrels of oil and 106.3 trillion cubic feet of gas in the Sirte and Pelagian Basin Provinces of Libya, Tunisia, Malta, and Italy.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/fs20193030","usgsCitation":"Schenk, C.J., Mercier, T.J., Tennyson, M.E., Le, P.A., Pitman, J.K., Drake, R.M., II, Brownfield, M.E., and Finn, T.M., 2019, Assessment of undiscovered oil and gas resources of the Sirte and Pelagian Basin Provinces of Libya, Tunisia, Malta, and Italy, 2019: U.S. Geological Survey Fact Sheet 2019–3030, 2 p., https://doi.org/10.3133/fs20193030.","productDescription":"2 p.","onlineOnly":"N","ipdsId":"IP-106035","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"links":[{"id":364846,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2019/3030/coverthb.jpg"},{"id":364847,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2019/3030/fs20193030.pdf","text":"Report","size":"716 kB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2019-3030"}],"country":"Italy, Libya, Malta, Tunisia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              7.4267578125,\n              25.760319754713887\n            ],\n            [\n              19.731445312499996,\n              25.760319754713887\n            ],\n            [\n              19.731445312499996,\n              38.37611542403604\n            ],\n            [\n              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,{"id":70205907,"text":"70205907 - 2019 - Limpkin, Aramus guarauna (L., 1766) (Gruiformes, Aramidae), extralimital breeding in Louisiana is associated with availability of the invasive Giant Apple Snail, <i>Pomacea maculata</i> Perry, 1810 (Caenogastropoda, Ampullariidae)","interactions":[],"lastModifiedDate":"2019-10-09T14:16:02","indexId":"70205907","displayToPublicDate":"2019-06-21T13:38:06","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1208,"text":"Check List","active":true,"publicationSubtype":{"id":10}},"title":"Limpkin, Aramus guarauna (L., 1766) (Gruiformes, Aramidae), extralimital breeding in Louisiana is associated with availability of the invasive Giant Apple Snail, <i>Pomacea maculata</i> Perry, 1810 (Caenogastropoda, Ampullariidae)","docAbstract":"<div class=\"abstractHolder\"><div class=\"abstractText\"><div class=\"issue_description\"><p>We document the first breeding record of Limpkin,<span>&nbsp;</span><i>Aramus guarauna</i><span>&nbsp;</span>(Linnaeus, 1766) (Gruiformes, Aramidae), for Louisiana, describe an additional unpublished breeding record from Georgia, as well as a possible record from Alabama, and associate these patterns with the concurrent establishment of the invasive Giant Apple Snail,<span>&nbsp;</span><i>Pomacea maculata</i><span>&nbsp;</span>Perry, 1810 (Caenogastropoda, Ampullariidae). We predict that an invasive prey species may facilitate range expansion by native predator species, which has ramifications for conservation and management.</p></div></div></div>","language":"English","publisher":"Pensoft","doi":"10.15560/15.3.497","usgsCitation":"Dobbs, R., Carter, J., and Schulz, J.L., 2019, Limpkin, Aramus guarauna (L., 1766) (Gruiformes, Aramidae), extralimital breeding in Louisiana is associated with availability of the invasive Giant Apple Snail, <i>Pomacea maculata</i> Perry, 1810 (Caenogastropoda, Ampullariidae): Check List, v. 15, no. 3, p. 497-507, https://doi.org/10.15560/15.3.497.","productDescription":"11 p.","startPage":"497","endPage":"507","ipdsId":"IP-097534","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":467510,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.15560/15.3.497","text":"Publisher Index 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 \"}}]}","volume":"15","issue":"3","noUsgsAuthors":false,"publicationDate":"2019-06-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Dobbs, Robert C. 0000-0002-9079-7249 rdobbs@usgs.gov","orcid":"https://orcid.org/0000-0002-9079-7249","contributorId":200300,"corporation":false,"usgs":false,"family":"Dobbs","given":"Robert C.","email":"rdobbs@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":772828,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carter, Jacoby 0000-0003-0110-0284 carterj@usgs.gov","orcid":"https://orcid.org/0000-0003-0110-0284","contributorId":2399,"corporation":false,"usgs":true,"family":"Carter","given":"Jacoby","email":"carterj@usgs.gov","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":772829,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schulz, Jessica L. 0000-0002-8311-9423 jschulz@usgs.gov","orcid":"https://orcid.org/0000-0002-8311-9423","contributorId":200299,"corporation":false,"usgs":true,"family":"Schulz","given":"Jessica","email":"jschulz@usgs.gov","middleInitial":"L.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":772830,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70204466,"text":"70204466 - 2019 - Typha (cattail) invasion in North American wetlands: Biology, regional problems, impacts, ecosystem services, and management","interactions":[],"lastModifiedDate":"2019-07-26T10:10:32","indexId":"70204466","displayToPublicDate":"2019-06-21T11:23:43","publicationYear":"2019","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}},"displayTitle":"<i>Typha</i> (cattail) invasion in North American wetlands: Biology, regional problems, impacts, ecosystem services, and management","title":"Typha (cattail) invasion in North American wetlands: Biology, regional problems, impacts, ecosystem services, and management","docAbstract":"Typha is an iconic wetland plant found worldwide. Hybridization and anthropogenic disturbances have resulted in large increases in Typha abundance in wetland ecosystems throughout North America at a cost to native floral and faunal biodiversity. As demonstrated by three regional case studies, Typha is capable of rapidly colonizing habitats and forming monodominant vegetation stands due to traits such as robust size, rapid growth rate, and rhizomatic expansion. Increased nutrient inputs into wetlands and altered hydrologic regimes are among the principal anthropogenic drivers of Typha invasion. Typha is associated with a wide range of negative ecological impacts to wetland and agricultural systems, but also is linked with a variety of ecosystem services such as bioremediation and provisioning of biomass, as well as an assortment of traditional cultural uses. Numerous physical, chemical, and hydrologic control methods are used to manage invasive Typha, but results are inconsistent and multiple methods and repeated treatments often are required. While this review focuses on invasive Typha in North America, the literature cited comes from research on Typha and other invasive species from around the world. As such, many of the underlying concepts in this review are relevant to invasive species in other wetland ecosystems worldwide.","language":"English","publisher":"Springer","doi":"10.1007/s13157-019-01174-7","usgsCitation":"Bansal, S., Lishawa, S., Newman, S., Tangen, B., Wilcox, D., Albert, D., Anteau, M.J., Chimney, M.J., Cressey, R.L., DeKeyser, E., Elgersam, K.J., Finkelstein, S., Freeland, J., Grosshans, R., Klug, P.E., Larkin, D., Lawrence, B.A., Linz, G., Marburger, J., Noe, G.E., Otto, C., Reo, N., Richards, J., Richardson, C.J., Rodgers, L., Shrank, A.J., Svedarsky, D., Travis, S.E., Tuchman, N., van der Valk, A., and Windham-Myers, L., 2019, Typha (cattail) invasion in North American wetlands: Biology, regional problems, impacts, ecosystem services, and management: Wetlands, p. 1-40, https://doi.org/10.1007/s13157-019-01174-7.","productDescription":"40 p.","startPage":"1","endPage":"40","ipdsId":"IP-103035","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research 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University","active":true,"usgs":false}],"preferred":false,"id":767068,"contributorType":{"id":1,"text":"Authors"},"rank":29},{"text":"van der Valk, Arnold","contributorId":145612,"corporation":false,"usgs":false,"family":"van der Valk","given":"Arnold","affiliations":[{"id":15296,"text":"Iowa State University, Ames, IA, USA","active":true,"usgs":false}],"preferred":false,"id":767069,"contributorType":{"id":1,"text":"Authors"},"rank":30},{"text":"Windham-Myers, Lisamarie 0000-0003-0281-9581 lwindham-myers@usgs.gov","orcid":"https://orcid.org/0000-0003-0281-9581","contributorId":2449,"corporation":false,"usgs":true,"family":"Windham-Myers","given":"Lisamarie","email":"lwindham-myers@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western 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,{"id":70228003,"text":"70228003 - 2019 - Estimating density and detection of bobcats in fragmented Midwestern landscapes using  spatial capture-recapture data from camera traps","interactions":[],"lastModifiedDate":"2022-02-04T14:40:11.294887","indexId":"70228003","displayToPublicDate":"2019-06-21T11:13:21","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"Estimating density and detection of bobcats in fragmented Midwestern landscapes using  spatial capture-recapture data from camera traps","docAbstract":"<p><span>Camera-trapping data analyzed with spatially explicit capture–recapture (SCR) models can provide a rigorous method for estimating density of small populations of elusive carnivore species. We sought to develop and evaluate the efficacy of SCR models for estimating density of a presumed low-density bobcat (</span><i>Lynx rufus</i><span>) population in fragmented landscapes of west-central Illinois, USA. We analyzed camera-trapping data from 49 camera stations in a 1,458-km</span><sup>2</sup><span>&nbsp;area deployed over a 77-day period from 1 February to 18 April 2017. Mean operational time of cameras was 52 days (range = 32–67 days). We captured 23 uniquely identifiable bobcats 113 times and recaptured these same individuals 90 times; 15 of 23 (65.2%) individuals were recaptured at ≥2 camera traps. Total number of bobcat capture events was 139, of which 26 (18.7%) were discarded from analyses because of poor image quality or capture of only a part of an animal in photographs. Of 113 capture events used in analyses, 106 (93.8%) and 7 (6.2%) were classified as positive and tentative identifications, respectively; agreement on tentative identifications of bobcats was high (71.4%) among 3 observers. We photographed bobcats at 36 of 49 (73.5%) camera stations, of which 34 stations were used in analyses. We estimated bobcat density at 1.40 individuals (range = 1.00–2.02)/100 km&nbsp;</span><sup>2</sup><span>. Our modeled bobcat density estimates are considerably below previously reported densities (30.5 individuals/100 km&nbsp;</span><sup>2</sup><span>) within the state, and among the lowest yet recorded for the species. Nevertheless, use of remote cameras and SCR models was a viable technique for reliably estimating bobcat density across west-central Illinois. Our research establishes ecological benchmarks for understanding potential effects of colonization, habitat fragmentation, and exploitation on future assessments of bobcat density using standardized methodologies that can be compared directly over time. Further application of SCR models that quantify specific costs of animal movements (i.e., least-cost path models) while accounting for landscape connectivity has great utility and relevance for conservation and management of bobcat populations across fragmented Midwestern landscapes.</span></p>","language":"English","publisher":"Wildlife Society","doi":"10.1002/wsb.968","usgsCitation":"Jacques, C., Klaver, R.W., Swearingen, T.C., Davis, E.D., Anderson, C., Jenks, J., DePerno, C.S., and Bluett, R.D., 2019, Estimating density and detection of bobcats in fragmented Midwestern landscapes using  spatial capture-recapture data from camera traps: Wildlife Society Bulletin, v. 43, no. 2, p. 256-264, https://doi.org/10.1002/wsb.968.","productDescription":"9 p.","startPage":"256","endPage":"264","ipdsId":"IP-099506","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":467513,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doaj.org/article/0695d4aeb0ef43ef984fb13bc46339bd","text":"External Repository"},{"id":395373,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois","county":"Handcock, Schuyler","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -91.2139892578125,\n              40.01289077952615\n            ],\n            [\n              -90.45867919921875,\n              40.01289077952615\n            ],\n            [\n              -90.45867919921875,\n              40.330842639095756\n            ],\n            [\n              -91.2139892578125,\n              40.330842639095756\n            ],\n            [\n              -91.2139892578125,\n              40.01289077952615\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"43","issue":"2","noUsgsAuthors":false,"publicationDate":"2019-06-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Jacques, Christopher N.","contributorId":264323,"corporation":false,"usgs":false,"family":"Jacques","given":"Christopher N.","affiliations":[{"id":49637,"text":"Western Illinois University","active":true,"usgs":false}],"preferred":false,"id":833067,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Klaver, Robert W. 0000-0002-3263-9701 bklaver@usgs.gov","orcid":"https://orcid.org/0000-0002-3263-9701","contributorId":3285,"corporation":false,"usgs":true,"family":"Klaver","given":"Robert","email":"bklaver@usgs.gov","middleInitial":"W.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":832877,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Swearingen, Tim C.","contributorId":274286,"corporation":false,"usgs":false,"family":"Swearingen","given":"Tim","email":"","middleInitial":"C.","affiliations":[{"id":49637,"text":"Western Illinois University","active":true,"usgs":false}],"preferred":false,"id":833068,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Davis, Edward D.","contributorId":274508,"corporation":false,"usgs":false,"family":"Davis","given":"Edward","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":833069,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Anderson, Charles R.","contributorId":274287,"corporation":false,"usgs":false,"family":"Anderson","given":"Charles R.","affiliations":[{"id":39887,"text":"Colorado Parks and Wildlife","active":true,"usgs":false}],"preferred":false,"id":833070,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jenks, Jonathan A.","contributorId":274288,"corporation":false,"usgs":false,"family":"Jenks","given":"Jonathan A.","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":833071,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"DePerno, Christopher S.","contributorId":10327,"corporation":false,"usgs":true,"family":"DePerno","given":"Christopher","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":833072,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bluett, Robert D.","contributorId":274290,"corporation":false,"usgs":false,"family":"Bluett","given":"Robert","email":"","middleInitial":"D.","affiliations":[{"id":40911,"text":"Illinois DNR","active":true,"usgs":false}],"preferred":false,"id":833073,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
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