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The agencies chose a glidepath approach to reduce wet nitrogen deposition to a level of 1.5 kilograms of nitrogen per hectare per year (kg N/ha/yr) by the year 2032 to protect sensitive ecosystems within RMNP from adverse effects. Another goal of the NDRP is to “reverse the trend of increasing nitrogen deposition at the park.” Trends in wet deposition data were analyzed at three sites in RMNP and three regional sites outside of the park. Wet nitrogen deposition (5-year rolling average) at Loch Vale in RMNP was 3.3 kg N/ha/yr, which is above the glidepath (2.4 kg N/ha/yr) in 2017. Wet nitrogen deposition has not decreased at RMNP or other sites in the region over the long-term. Ammonium concentrations showed a statistically significant increasing trend at all sites and nitrate concentrations showed a significant decreasing trend at four of the five sites over\nthe period of record. In more recent years (2011-2017), wet nitrogen deposition showed no\nsignificant trend at monitoring sites in RMNP. Ammonium concentrations also showed no significant trend over the short-term, however nitrate concentrations did significantly decrease at two of the six sites.","language":"English","publisher":"National Park Service","usgsCitation":"Kristi Morris, Mast, M.A., Wetherbee, G.A., Baron, J., Cheatham, J., Bromberg, J., Devore, L., Hou, J., Gebhart, K., Bell, M., Gay, D., Olson, M., Weinmann, T., and Bowker, D., 2019, 2017 Monitoring and tracking wet nitrogen deposition at Rocky Mountain National Park: Natural Resource Report 2019/1905, vi, 37 p.","productDescription":"vi, 37 p.","ipdsId":"IP-102509","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":369929,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":363258,"type":{"id":11,"text":"Document"},"url":"https://irma.nps.gov/DataStore/DownloadFile/620476"}],"country":"United States","state":"Colorado","otherGeospatial":"Rocky Mountain National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -105.93017578125,\n              40.14109012528468\n            ],\n            [\n              -105.48110961914062,\n              40.14109012528468\n            ],\n            [\n              -105.48110961914062,\n              40.57224011776902\n            ],\n            [\n              -105.93017578125,\n              40.57224011776902\n            ],\n            [\n              -105.93017578125,\n              40.14109012528468\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kristi Morris","contributorId":146262,"corporation":false,"usgs":false,"family":"Kristi Morris","affiliations":[{"id":16653,"text":"National Park Service, Air Resources Division","active":true,"usgs":false}],"preferred":false,"id":761627,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mast, M. Alisa 0000-0001-6253-8162","orcid":"https://orcid.org/0000-0001-6253-8162","contributorId":211054,"corporation":false,"usgs":true,"family":"Mast","given":"M.","email":"","middleInitial":"Alisa","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":761626,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wetherbee, Gregory A. 0000-0002-6720-2294","orcid":"https://orcid.org/0000-0002-6720-2294","contributorId":215100,"corporation":false,"usgs":true,"family":"Wetherbee","given":"Gregory","email":"","middleInitial":"A.","affiliations":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"preferred":true,"id":761628,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baron, Jill S. 0000-0002-5902-6251","orcid":"https://orcid.org/0000-0002-5902-6251","contributorId":215101,"corporation":false,"usgs":true,"family":"Baron","given":"Jill S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":761629,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cheatham, Jim","contributorId":221040,"corporation":false,"usgs":false,"family":"Cheatham","given":"Jim","email":"","affiliations":[],"preferred":false,"id":776712,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bromberg, Jim","contributorId":221041,"corporation":false,"usgs":false,"family":"Bromberg","given":"Jim","email":"","affiliations":[],"preferred":false,"id":776713,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Devore, Lisa","contributorId":221042,"corporation":false,"usgs":false,"family":"Devore","given":"Lisa","email":"","affiliations":[],"preferred":false,"id":776714,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hou, James","contributorId":221043,"corporation":false,"usgs":false,"family":"Hou","given":"James","email":"","affiliations":[],"preferred":false,"id":776715,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Gebhart, Kristi","contributorId":221044,"corporation":false,"usgs":false,"family":"Gebhart","given":"Kristi","email":"","affiliations":[],"preferred":false,"id":776716,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Bell, Mike","contributorId":221045,"corporation":false,"usgs":false,"family":"Bell","given":"Mike","email":"","affiliations":[],"preferred":false,"id":776717,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Gay, David","contributorId":43245,"corporation":false,"usgs":true,"family":"Gay","given":"David","affiliations":[],"preferred":false,"id":776718,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Olson, Michael","contributorId":221046,"corporation":false,"usgs":false,"family":"Olson","given":"Michael","affiliations":[],"preferred":false,"id":776719,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Weinmann, Timothy","contributorId":194126,"corporation":false,"usgs":false,"family":"Weinmann","given":"Timothy","affiliations":[],"preferred":false,"id":776720,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Bowker, Daniel","contributorId":146263,"corporation":false,"usgs":false,"family":"Bowker","given":"Daniel","email":"","affiliations":[{"id":16654,"text":"Colorado State University, Natural Resource Ecologyy Lab","active":true,"usgs":false}],"preferred":false,"id":776721,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70247366,"text":"70247366 - 2019 - The susceptibility of Oklahoma’s basement to seismic reactivation","interactions":[],"lastModifiedDate":"2023-07-28T19:45:50.333316","indexId":"70247366","displayToPublicDate":"2019-10-31T13:34:25","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2845,"text":"Nature Geoscience","active":true,"publicationSubtype":{"id":10}},"title":"The susceptibility of Oklahoma’s basement to seismic reactivation","docAbstract":"<p>Recent widespread seismicity in Oklahoma is attributed to the reactivation of pre-existing, critically stressed and seismically unstable faults due to decades of wastewater injection. However, the structure and properties of the reactivated faults remain concealed by the sedimentary cover. Here, we explore the major ingredients needed to induce earthquakes in Oklahoma by characterizing basement faults in the field, in seismic surveys and via rock-mechanics experiments. Outcrop and satellite mapping reveal widespread fault and fracture systems with trends that display a marked similarity to the trends of recent earthquake lineaments. Our three-dimensional seismic analyses show steeply dipping basement-rooted faults that penetrate the overlying sedimentary sequences, representing pathways for wastewater migration. Experimental stability analysis indicates that Oklahoma’s basement rocks become seismically unstable at conditions relevant to the dominant hypocentral depths of the recent&nbsp;earthquakes. These analyses demonstrate that the geometry, structure and mechanical stability of Oklahoma’s basement make it critically susceptible to seismic reactivation.</p>","language":"English","publisher":"Springer Nature","doi":"10.1038/s41561-019-0440-5","usgsCitation":"Kolawole, F., Johnston, C., Morgan, C., Chang, J., Marfurt, K., Lockner, D., Reches, Z., and Carpenter, B., 2019, The susceptibility of Oklahoma’s basement to seismic reactivation: Nature Geoscience, v. 12, p. 839-844, https://doi.org/10.1038/s41561-019-0440-5.","productDescription":"5 p.","startPage":"839","endPage":"844","ipdsId":"IP-101437","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true}],"links":[{"id":419415,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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0000-0001-8630-6833","orcid":"https://orcid.org/0000-0001-8630-6833","contributorId":317799,"corporation":false,"usgs":true,"family":"Lockner","given":"David A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":879340,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Reches, Ze’ev","contributorId":173978,"corporation":false,"usgs":false,"family":"Reches","given":"Ze’ev","email":"","affiliations":[{"id":7062,"text":"University of Oklahoma","active":true,"usgs":false}],"preferred":false,"id":879341,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Carpenter, B M","contributorId":317804,"corporation":false,"usgs":false,"family":"Carpenter","given":"B M","affiliations":[{"id":39883,"text":"Univ of Oklahoma","active":true,"usgs":false}],"preferred":false,"id":879342,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70205412,"text":"ofr20191103 - 2019 - Optimization of salt marsh management at the Rhode Island National Wildlife Refuge Complex through use of structured decision making","interactions":[],"lastModifiedDate":"2024-03-04T18:41:42.763901","indexId":"ofr20191103","displayToPublicDate":"2019-10-31T13:10:00","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":"2019-1103","displayTitle":"Optimization of Salt Marsh Management at the Rhode Island National Wildlife Refuge Complex Through Use of Structured Decision Making","title":"Optimization of salt marsh management at the Rhode Island National Wildlife Refuge Complex through use of structured decision making","docAbstract":"<p>Structured decision making is a systematic, transparent process for improving the quality of complex decisions by identifying measurable management objectives and feasible management actions; predicting the potential consequences of management actions relative to the stated objectives; and selecting a course of action that maximizes the total benefit achieved and balances tradeoffs among objectives. The U.S. Geological Survey, in cooperation with the U.S. Fish and Wildlife Service, applied an existing, regional framework for structured decision making to develop a prototype tool for optimizing salt marsh management decisions at the Rhode Island National Wildlife Refuge Complex. Refuge biologists, refuge managers, and research scientists identified multiple potential management actions to improve the ecological integrity of nine salt marsh management units within the refuge complex and estimated the outcomes of each action in terms of performance metrics associated with each management objective. Value functions previously developed at the regional level were used to transform metric scores to a common utility scale, and utilities were summed to produce a single score representing the total management benefit that would be accrued from each potential management action. Constrained optimization was used to identify the set of management actions, one per salt marsh management unit, that would maximize total management benefits at different cost constraints at the refuge scale. Results indicated that, for the objectives and actions considered here, total management benefits may increase consistently up to approximately <span>$</span>150,000, but that further expenditures may yield diminishing return on investment. Management actions in optimal portfolios at total costs less than <span>$</span>150,000 included digging runnels (by hand or machine) on the marsh surface to improve drainage in eight management units, applying sediment to the marsh surface (thin layer deposition) in one management unit, constructing islands for use by tidal marsh obligate birds in two management units, and controlling <i>Phragmites australis</i> in one management unit. The management benefits were derived from expected improvements in the capacity for marsh elevation to keep pace with sea-level rise and increases in numbers of spiders (as an indicator of trophic health) and tidal marsh obligate birds. The prototype presented here provides a framework for decision making at the Rhode Island National Wildlife Refuge Complex that can be updated as new data and information become available. Insights from this process may also be useful to inform future habitat management planning at the refuge.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191103","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service","usgsCitation":"Neckles, H.A., Lyons, J.E., Nagel, J.L., Adamowicz, S.C., Mikula, T., and Ernst, N.T., 2019, Optimization of salt marsh management at the Rhode Island National Wildlife Refuge Complex through use of structured decision making: U.S. Geological Survey Open-File Report 2019–1103, 39 p., https://doi.org/10.3133/ofr20191103.","productDescription":"vi, 39 p.","numberOfPages":"50","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-102061","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":368643,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1103/ofr20191103.pdf","text":"Report","size":"3.66 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019-1103"},{"id":368642,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1103/coverthb.jpg"}],"country":"United States","state":"Rhode Island","otherGeospatial":"Rhode Island National Wildlife Refuge Complex","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -71.57524108886719,\n              41.3757780692323\n            ],\n            [\n              -71.42074584960938,\n              41.3757780692323\n            ],\n            [\n              -71.42074584960938,\n              41.49674964110098\n            ],\n            [\n              -71.57524108886719,\n              41.49674964110098\n            ],\n            [\n              -71.57524108886719,\n              41.3757780692323\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/eesc\" data-mce-href=\"https://www.usgs.gov/centers/eesc\">Eastern Ecological Science Center</a><br>U.S. Geological Survey<br>12100 Beech Forest Road<br>Laurel, MD 20708-4039</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Regional Structured Decision-Making Framework</li><li>Application to the Rhode Island National Wildlife Refuge Complex</li><li>Results of Constrained Optimization</li><li>Considerations for Optimizing Salt Marsh Management</li><li>References Cited</li><li>Appendix 1. Regional Influence Diagrams</li><li>Appendix 2. Utility Functions for the Rhode Island National Wildlife Refuge Complex</li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2019-10-31","noUsgsAuthors":false,"publicationDate":"2019-10-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Neckles, Hilary A. 0000-0002-5662-2314 hneckles@usgs.gov","orcid":"https://orcid.org/0000-0002-5662-2314","contributorId":3821,"corporation":false,"usgs":true,"family":"Neckles","given":"Hilary","email":"hneckles@usgs.gov","middleInitial":"A.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":771083,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lyons, James E. 0000-0002-9810-8751","orcid":"https://orcid.org/0000-0002-9810-8751","contributorId":214392,"corporation":false,"usgs":true,"family":"Lyons","given":"James E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":771084,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nagel, Jessica L. 0000-0002-4437-0324 jnagel@usgs.gov","orcid":"https://orcid.org/0000-0002-4437-0324","contributorId":3976,"corporation":false,"usgs":true,"family":"Nagel","given":"Jessica","email":"jnagel@usgs.gov","middleInitial":"L.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":771085,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Adamowicz, Susan C.","contributorId":174712,"corporation":false,"usgs":false,"family":"Adamowicz","given":"Susan","email":"","middleInitial":"C.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":true,"id":771086,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mikula, Toni","contributorId":208473,"corporation":false,"usgs":false,"family":"Mikula","given":"Toni","email":"","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":771087,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ernst, Nicholas T.","contributorId":219029,"corporation":false,"usgs":false,"family":"Ernst","given":"Nicholas","email":"","middleInitial":"T.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":771088,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70204616,"text":"fs20193040 - 2019 - Columbia Environmental Research Center","interactions":[],"lastModifiedDate":"2019-11-01T08:55:24","indexId":"fs20193040","displayToPublicDate":"2019-10-31T12:59:26","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":"2019-3040","displayTitle":"Columbia Environmental Research Center","title":"Columbia Environmental Research Center","docAbstract":"<p>The U.S. Geological Survey Columbia Environmental Research Center performs research to solve challenging environmental problems related to contaminants and habitat alterations in aquatic and terrestrial ecosystems. The research is interdisciplinary and pursued through partnerships within the U.S. Geological Survey and with national, international, state, and local agencies; nongovernmental organizations; and universities. Research is prioritized to provide science to the U.S. Department of the Interior and other natural resource management agencies to inform rehabilitation of degraded habitats and imperiled fish and wildlife populations.</p><p>The Columbia Environmental Research Center was established in 1966 in Columbia, Missouri, as the U.S. Fish and Wildlife Service’s Fish Pesticide Research Laboratory; the Columbia Environmental Research Center was incorporated into the U.S. Geological Survey in 1996. The U.S. Geological Survey’s staff of 130 includes 90 scientists of which one-half have advanced degrees in ecology, toxicology, biology, biochemistry, chemistry, hydrology, geology, and information technology.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20193040","usgsCitation":"U.S. Geological Survey, 2019, Columbia Environmental Research Center: U.S. Geological Survey Fact Sheet 2019–3040, 2 p., https://doi.org/10.3133/fs20193040.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"N","ipdsId":"IP-095411","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":368747,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2019/3040/coverthb.jpg"},{"id":368748,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2019/3040/fs20193040.pdf","text":"Report","size":"650 kB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2019–3040"}],"country":"United States","state":"Missouri","city":"Columbia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -92.6806640625,\n              38.71123253895224\n            ],\n            [\n              -92.076416015625,\n              38.71123253895224\n            ],\n            [\n              -92.076416015625,\n              39.155622393423215\n            ],\n            [\n              -92.6806640625,\n              39.155622393423215\n            ],\n            [\n              -92.6806640625,\n              38.71123253895224\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a data-mce-href=\"https://www.usgs.gov/centers/cerc\" href=\"https://www.usgs.gov/centers/cerc\">Columbia Environmental Research Center</a> <br>U.S. Geological Survey<br>4200 New Haven Road<br>Columbia, MO 65201<br></p>","tableOfContents":"<ul><li>CERC Science Facilities</li><li>Basic and Applied Scientific Expertise at the CERC</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2019-10-31","noUsgsAuthors":false,"publicationDate":"2019-10-31","publicationStatus":"PW","contributors":{"authors":[{"text":"U.S. Geological Survey","contributorId":152492,"corporation":true,"usgs":false,"organization":"U.S. Geological Survey","id":767785,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70206428,"text":"70206428 - 2019 - The LArge-n Seismic Survey in Oklahoma (LASSO) experiment","interactions":[],"lastModifiedDate":"2019-11-05T06:31:22","indexId":"70206428","displayToPublicDate":"2019-10-31T12:01:46","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"The LArge-n Seismic Survey in Oklahoma (LASSO) experiment","docAbstract":"In 2016, the U.S. Geological Survey deployed more than 1,800 vertical-component nodal seismometers in Grant County, Oklahoma to study induced seismic activity associated with production of the Mississippi Limestone Play. The LArge-n Seismic Survey in Oklahoma (LASSO) array operated for approximately one month, covering a 25-km-by-32-km region with a nominal station spacing of ~400 m.  Primary goals of the deployment were to detect microseismic events not captured by the sparser regional network stations and to provide nearly unaliased records of the seismic wavefield. A more complete record of earthquakes allows us to map the spatiotemporal evolution of induced event sequences and illuminates the structures on which the events occur. Dense records of the seismic wavefield also provide improved measurements of the earthquake source, including focal mechanisms and stress drops. Taken together, we can use these findings to glean insights into the processes that induce earthquakes. Here, we describe the array layout, features of the nodal sensors, data recording configurations, and the field deployment. We also provide examples of earthquake waveforms recorded by the array to illustrate data quality and initial observations. LASSO array data provide a significant resource for understanding the occurrence of earthquakes induced by wastewater disposal.","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220190094","usgsCitation":"Dougherty, S., Cochran, E.S., and Harrington, R.M., 2019, The LArge-n Seismic Survey in Oklahoma (LASSO) experiment: Seismological Research Letters, v. 90, no. 5, p. 2015-2057, https://doi.org/10.1785/0220190094.","productDescription":"43 p.","startPage":"2015","endPage":"2057","ipdsId":"IP-106311","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":368924,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Kansas, Oklahoma","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -98.074951171875,\n              36.756490329505176\n            ],\n            [\n              -97.6904296875,\n              36.756490329505176\n            ],\n            [\n              -97.6904296875,\n              37.020098201368114\n            ],\n            [\n              -98.074951171875,\n              37.020098201368114\n            ],\n            [\n              -98.074951171875,\n              36.756490329505176\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"90","issue":"5","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-08-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Dougherty, S.","contributorId":220221,"corporation":false,"usgs":false,"family":"Dougherty","given":"S.","email":"","affiliations":[{"id":13711,"text":"Caltech","active":true,"usgs":false}],"preferred":false,"id":774509,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cochran, Elizabeth S. 0000-0003-2485-4484 ecochran@usgs.gov","orcid":"https://orcid.org/0000-0003-2485-4484","contributorId":2025,"corporation":false,"usgs":true,"family":"Cochran","given":"Elizabeth","email":"ecochran@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":774508,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harrington, R. M.","contributorId":215265,"corporation":false,"usgs":false,"family":"Harrington","given":"R.","email":"","middleInitial":"M.","affiliations":[{"id":39218,"text":"University of Bochum","active":true,"usgs":false}],"preferred":false,"id":774510,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70206490,"text":"70206490 - 2019 - A mosaic of land tenure and ownership creates challenges and opportunities for transboundary conservation in the US-Mexico borderlands","interactions":[],"lastModifiedDate":"2023-03-27T17:24:12.269609","indexId":"70206490","displayToPublicDate":"2019-10-31T10:56:59","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5886,"text":"Case Studies in the Environment","active":true,"publicationSubtype":{"id":10}},"title":"A mosaic of land tenure and ownership creates challenges and opportunities for transboundary conservation in the US-Mexico borderlands","docAbstract":"In the Madrean Sky Islands of western North America, a mixture of public and private land ownership and tenure creates a complex situation for collaborative efforts in conservation. In this case study, we describe the current ownership and management structures in the US-Mexico borderlands where social, political, and economic conditions create extreme pressures on the environment and challenges for conservation. On the US side of the border, sky island mountain ranges are almost entirely publicly owned and managed by federal, state and tribal organizations that manage and monitor species, habitats, and disturbances including fire. In contrast, public lands are scarce in the adjacent mountain ranges of Mexico, rather, a unique system of private parcels and communal lands make up most of Mexico's Natural Protected Areas. Several of the Protected Area reserves in Mexico form a matrix that serves to connect scattered habitats for jaguars dispersing northward toward public and private reserves in the U.S. from their northernmost breeding areas in Mexico. Despite administrative or jurisdictional boundaries superimposed upon the landscape, we identify two unifying management themes that encourage collaborative management of transboundary landscape processes and habitat connectivity: jaguar conservation and wildfire management. Our case study promotes understanding of conservation challenges as they are perceived and managed in a diversity of settings across the US-Mexico borderlands. Ultimately, recognizing the unique and important contributions of people living and working under different systems of land ownership and tenure will open doors for partnerships in achieving common goals.","language":"English","publisher":"University of California Press","doi":"10.1525/cse.2019.002113","usgsCitation":"Villarreal, M.L., Haire, S.L., Bravo, J.C., and Norman, L., 2019, A mosaic of land tenure and ownership creates challenges and opportunities for transboundary conservation in the US-Mexico borderlands: Case Studies in the Environment, v. 3, no. 1, p. 1-10, https://doi.org/10.1525/cse.2019.002113.","productDescription":"10 p.","startPage":"1","endPage":"10","ipdsId":"IP-106573","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":369092,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","state":"Arizona, Baja California, California, Chihuahua, New Mexico, Sonora","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.26806640625,\n              30.543338954230222\n            ],\n            [\n              -106.74316406249999,\n              30.543338954230222\n            ],\n            [\n              -106.74316406249999,\n              33.247875947924385\n            ],\n            [\n              -117.26806640625,\n              33.247875947924385\n            ],\n            [\n              -117.26806640625,\n              30.543338954230222\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"3","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-12-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Villarreal, Miguel L. 0000-0003-0720-1422 mvillarreal@usgs.gov","orcid":"https://orcid.org/0000-0003-0720-1422","contributorId":1424,"corporation":false,"usgs":true,"family":"Villarreal","given":"Miguel","email":"mvillarreal@usgs.gov","middleInitial":"L.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":774817,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haire, Sandra L. 0000-0002-5356-7567","orcid":"https://orcid.org/0000-0002-5356-7567","contributorId":213971,"corporation":false,"usgs":false,"family":"Haire","given":"Sandra","email":"","middleInitial":"L.","affiliations":[{"id":32362,"text":"Haire Laboratory for Landscape Ecology","active":true,"usgs":false}],"preferred":false,"id":774818,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bravo, Juan Carlos","contributorId":220335,"corporation":false,"usgs":false,"family":"Bravo","given":"Juan","email":"","middleInitial":"Carlos","affiliations":[{"id":40159,"text":"Wilidlands Network","active":true,"usgs":false}],"preferred":false,"id":774819,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Norman, Laura M. 0000-0002-3696-8406","orcid":"https://orcid.org/0000-0002-3696-8406","contributorId":203300,"corporation":false,"usgs":true,"family":"Norman","given":"Laura M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":774820,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70211342,"text":"70211342 - 2019 - Partly cloudy with a chance of lava flows: Forecasting volcanic eruptions in the 21st century","interactions":[],"lastModifiedDate":"2020-07-27T15:01:15.447745","indexId":"70211342","displayToPublicDate":"2019-10-31T09:50:22","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2312,"text":"Journal of Geophysical Research","active":true,"publicationSubtype":{"id":10}},"title":"Partly cloudy with a chance of lava flows: Forecasting volcanic eruptions in the 21st century","docAbstract":"<div class=\"article-section__content en main\"><p>A primary goal of volcanology is forecasting hazardous eruptive activity. Despite much progress over the last century, however, volcanoes still erupt with no detected precursors, lives and livelihoods are lost to eruptive activity, and forecasting the onsets of eruptions remains fraught with uncertainty. Long‐term forecasts are generally derived from the geological and historical records, from which recurrence intervals and styles of activity can be inferred, while shorter‐term forecasts are derived from patterns in monitoring data. Information from geology and monitoring data can be evaluated and combined using statistical analysis, expert elicitation, and conceptual and or mathematical models. Integrative frameworks, such as event trees, combine this diversity of information to produce probabilistic forecasts that can inform the style and scale of the societal response to a potential future eruption. Several developments show promise to revolutionize the utility and accuracy of these forecasts. These include growth in the quantity and quality of multidisciplinary monitoring data, coupled with increases in computing power; machine learning algorithms, which will allow far better utilization of this growing volume of data; and new physiochemical volcano models and data assimilation algorithms, which take advantage of a wide range of monitoring data and realistic physics to better predict the evolution of a given physical state. Although eruption forecasts may never be as generally&nbsp;reliable as weather forecasts, and great caution must be exercised when attempting to predict highly complex volcanic behavior, these and other innovations—particularly when combined in integrative, fully probabilistic forecasting frameworks—should help volcanologists to better issue warnings of volcanic activity on societally relevant time frames.</p></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2018JB016974","usgsCitation":"Poland, M.P., and Anderson, K.R., 2019, Partly cloudy with a chance of lava flows: Forecasting volcanic eruptions in the 21st century: Journal of Geophysical Research, v. 1, no. 125, e2018JB016974, 32 p., https://doi.org/10.1029/2018JB016974.","productDescription":"e2018JB016974, 32 p.","ipdsId":"IP-108339","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":459301,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2018jb016974","text":"Publisher Index Page"},{"id":376712,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Italy, United States","state":"Hawaii","otherGeospatial":"Campi Flegrei, Kīlauea volcano","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              14.135026931762695,\n              40.823487547820015\n            ],\n            [\n              14.146184921264648,\n              40.823487547820015\n            ],\n            [\n              14.146184921264648,\n              40.83134608188173\n            ],\n            [\n              14.135026931762695,\n              40.83134608188173\n            ],\n            [\n              14.135026931762695,\n              40.823487547820015\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -155.302734375,\n              19.38629551130323\n            ],\n            [\n              -155.2326965332031,\n              19.38629551130323\n            ],\n            [\n              -155.2326965332031,\n              19.44134189745716\n            ],\n            [\n              -155.302734375,\n              19.44134189745716\n            ],\n            [\n              -155.302734375,\n              19.38629551130323\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"1","issue":"125","noUsgsAuthors":false,"publicationDate":"2020-01-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Poland, Michael P. 0000-0001-5240-6123 mpoland@usgs.gov","orcid":"https://orcid.org/0000-0001-5240-6123","contributorId":146118,"corporation":false,"usgs":true,"family":"Poland","given":"Michael","email":"mpoland@usgs.gov","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":793929,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Kyle R. 0000-0001-8041-3996 kranderson@usgs.gov","orcid":"https://orcid.org/0000-0001-8041-3996","contributorId":3522,"corporation":false,"usgs":true,"family":"Anderson","given":"Kyle","email":"kranderson@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":793930,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70210077,"text":"70210077 - 2019 - Late Quaternary slip rate of the Central Sierra Madre fault, southern California: Implications for slip partitioning and earthquake hazard","interactions":[],"lastModifiedDate":"2020-05-13T13:59:01.256027","indexId":"70210077","displayToPublicDate":"2019-10-31T08:54:42","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"Late Quaternary slip rate of the Central Sierra Madre fault, southern California: Implications for slip partitioning and earthquake hazard","docAbstract":"The Sierra Madre fault system accommodates contraction within a large restraining bend area of the San Andreas fault along the northern margin of the Los Angeles metropolitan area in Southern California. Reverse slip along this fault system during earthquakes controls growth of the San Gabriel Mountains and poses a significant seismic hazard to the region. Here, we measure the late Quaternary slip rate of the Central Sierra Madre fault (CSMF) using analysis of high-resolution topography combined with cosmogenic 10Be surface exposure dating and post-IR IRSL geochronology. We mapped terrace and fan surfaces from three drainages that cross the CSMF and correlate them based on soil development and geomorphic position.  Cosmogenic nuclide and luminescence ages are consistent amongst the three prominent surfaces offset ~5 to 28 m across the fault zone. We devised a new strategy to estimate surface ages, incorporating data from two dating methods at three locations, refined by inset age relationships, that yields surface age estimates of 54 +21/-13 ka, 36 ± 8 ka, and 12 ± 4 ka. Estimated slip for these geomorphic markers is more uncertain than the measured vertical separation due to uncertainties in fault dip and ranges from 7.5 +5.4/-3.1 m to 58.5 +46.3/-14.4 m. Incremental dip-slip rate estimates from different age surfaces and locations overlap within uncertainty, with median values ranging from 0.7 to 1.1 mm/yr. The average slip rate for all three generations of markers is 1.1 +1.2/-0.4 mm/yr. This late Quaternary slip rate for the CSMF is slower than estimates based on interseismic geodetic data, and emphasizes the importance of contraction distributed across multiple structures south of the Sierra Madre fault when assessed against the geodetic shortening budget. Despite being the central portion of the broader Sierra Madre fault system, the CSMF has a slip rate similar to or lower than neighboring sections, suggesting that slip transfer onto other nearby faults control the along-strike pattern of deformation rate. Paleoseismic evidence indicates that the last earthquake on the CSMF was in the early Holocene, and the slip rate we estimate suggests that the accumulated elastic strain could produce many meters of slip in future earthquakes.","language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2019.115907","collaboration":"","usgsCitation":"Burgette, R., Hanson, A., Scharer, K., Rittenour, T.M., and McPhillips, D., 2019, Late Quaternary slip rate of the Central Sierra Madre fault, southern California: Implications for slip partitioning and earthquake hazard: Earth and Planetary Science Letters, v. 530, 115907, 12 p., https://doi.org/10.1016/j.epsl.2019.115907.","productDescription":"115907, 12 p.","ipdsId":"IP-108292","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":459305,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.epsl.2019.115907","text":"Publisher Index Page"},{"id":374748,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Central Sierra Madre fault","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -119.344482421875,\n              33.6420625047537\n            ],\n            [\n              -116.83959960937499,\n              33.6420625047537\n            ],\n            [\n              -116.83959960937499,\n              34.43862840686652\n            ],\n            [\n              -119.344482421875,\n              34.43862840686652\n            ],\n            [\n              -119.344482421875,\n              33.6420625047537\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"530","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Burgette, Reed J.","contributorId":175465,"corporation":false,"usgs":false,"family":"Burgette","given":"Reed J.","affiliations":[{"id":49682,"text":"Dept of Geolgical Sciences, New Mexico State University","active":true,"usgs":false}],"preferred":false,"id":789005,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hanson, Austin","contributorId":175466,"corporation":false,"usgs":false,"family":"Hanson","given":"Austin","email":"","affiliations":[{"id":27575,"text":"NMSU","active":true,"usgs":false}],"preferred":false,"id":789006,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scharer, Katherine M. 0000-0003-2811-2496","orcid":"https://orcid.org/0000-0003-2811-2496","contributorId":217361,"corporation":false,"usgs":true,"family":"Scharer","given":"Katherine M.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":789007,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rittenour, Tammy M.","contributorId":140755,"corporation":false,"usgs":false,"family":"Rittenour","given":"Tammy","email":"","middleInitial":"M.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":789008,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McPhillips, Devin 0000-0003-1987-9249","orcid":"https://orcid.org/0000-0003-1987-9249","contributorId":217362,"corporation":false,"usgs":true,"family":"McPhillips","given":"Devin","email":"","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":789009,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70215270,"text":"70215270 - 2019 - Coseismic slip and early afterslip of the M6.0 August 24, 2014 South Napa, California, earthquake","interactions":[],"lastModifiedDate":"2020-10-14T13:29:10.31605","indexId":"70215270","displayToPublicDate":"2019-10-31T08:26:37","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2312,"text":"Journal of Geophysical Research","active":true,"publicationSubtype":{"id":10}},"title":"Coseismic slip and early afterslip of the M6.0 August 24, 2014 South Napa, California, earthquake","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>We employ strong motion seismograms and static offsets from the Global Positioning System, Interferometric Synthetic Aperture Radar, and other measurements in order to derive a coseismic slip and afterslip model of the M6.0 24 August 2014 South Napa earthquake. This earthquake ruptured an ∼13‐km‐long portion of the West Napa fault with predominantly right‐lateral strike slip. In the kinematic seismic slip inversions, we couple the coseismic slip and afterslip distributions by requiring both distributions to involve right‐lateral strike slip with positive amplitude, with the net static slip being the sum of the two. We consider several candidate fault geometries: a first involving two steeply east dipping fault planes that reach Earth's surface at the western surface trace (STW), where most surface rupture was observed, a second involving a steeply west dipping plane that also reaches Earth's surface at the STW, and a third involving a combination of two variably west dipping planes constrained to pass through the locus of postseismic seismicity located ∼1&nbsp;km west of the STW. The data are best fit using the model of two east dipping fault planes, with coseismic slip up to ∼1.2&nbsp;m on a dominant shallow asperity about 10&nbsp;km north of the hypocenter and on deeper asperities on the southern part of the rupture. Afterslip up to 1&nbsp;m is concentrated along the southern part of the rupture at depths<span>&nbsp;</span><img class=\"section_image\" src=\"https://agupubs.onlinelibrary.wiley.com/cms/asset/cd1d253c-7f55-4e80-bea1-eb7ac75e6fe9/jgrb53820-math-0001.png\" alt=\"urn:x-wiley:jgrb:media:jgrb53820:jgrb53820-math-0001\" data-mce-src=\"https://agupubs.onlinelibrary.wiley.com/cms/asset/cd1d253c-7f55-4e80-bea1-eb7ac75e6fe9/jgrb53820-math-0001.png\">5&nbsp;km, consistent with surface observations of afterslip. Seismic moments associated with coseismic slip and afterslip are 1.13×10<sup>18</sup>&nbsp;N&nbsp;m (Mw 6.00) and 3.64×10<sup>17</sup>&nbsp;N&nbsp;m, respectively.</p></div></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019JB018470","usgsCitation":"Pollitz, F., Murray, J.R., Minson, S.E., Wicks, C.W., Svarc, J.L., and Brooks, B.A., 2019, Coseismic slip and early afterslip of the M6.0 August 24, 2014 South Napa, California, earthquake: Journal of Geophysical Research, v. 124, no. 11, p. 11728-11747, https://doi.org/10.1029/2019JB018470.","productDescription":"20 p.","startPage":"11728","endPage":"11747","ipdsId":"IP-109539","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":379354,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"South Napa","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.61566162109375,\n              38.002655740556705\n            ],\n            [\n              -121.91253662109376,\n              38.002655740556705\n            ],\n            [\n              -121.91253662109376,\n              38.44498466889473\n            ],\n            [\n              -122.61566162109375,\n              38.44498466889473\n            ],\n            [\n              -122.61566162109375,\n              38.002655740556705\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"124","issue":"11","noUsgsAuthors":false,"publicationDate":"2019-11-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Pollitz, Frederick 0000-0002-4060-2706 fpollitz@usgs.gov","orcid":"https://orcid.org/0000-0002-4060-2706","contributorId":139578,"corporation":false,"usgs":true,"family":"Pollitz","given":"Frederick","email":"fpollitz@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":801417,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Murray, Jessica R. 0000-0002-6144-1681 jrmurray@usgs.gov","orcid":"https://orcid.org/0000-0002-6144-1681","contributorId":2759,"corporation":false,"usgs":true,"family":"Murray","given":"Jessica","email":"jrmurray@usgs.gov","middleInitial":"R.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":801418,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Minson, Sarah E. 0000-0001-5869-3477 sminson@usgs.gov","orcid":"https://orcid.org/0000-0001-5869-3477","contributorId":5357,"corporation":false,"usgs":true,"family":"Minson","given":"Sarah","email":"sminson@usgs.gov","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":801419,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wicks, Charles W. Jr. 0000-0002-0809-1328 cwicks@usgs.gov","orcid":"https://orcid.org/0000-0002-0809-1328","contributorId":127701,"corporation":false,"usgs":true,"family":"Wicks","given":"Charles","suffix":"Jr.","email":"cwicks@usgs.gov","middleInitial":"W.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":801420,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Svarc, Jerry L. 0000-0002-2802-4528","orcid":"https://orcid.org/0000-0002-2802-4528","contributorId":212736,"corporation":false,"usgs":true,"family":"Svarc","given":"Jerry","email":"","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":801421,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brooks, Benjamin A. 0000-0001-7954-6281 bbrooks@usgs.gov","orcid":"https://orcid.org/0000-0001-7954-6281","contributorId":5237,"corporation":false,"usgs":true,"family":"Brooks","given":"Benjamin","email":"bbrooks@usgs.gov","middleInitial":"A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":801422,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70237907,"text":"70237907 - 2019 - Reactive transport modeling to understand attenuation of arsenic concentrations in anoxic groundwater during Fe(II) oxidation by nitrate","interactions":[],"lastModifiedDate":"2022-10-31T12:26:09.920383","indexId":"70237907","displayToPublicDate":"2019-10-31T07:24:33","publicationYear":"2019","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Reactive transport modeling to understand attenuation of arsenic concentrations in anoxic groundwater during Fe(II) oxidation by nitrate","docAbstract":"<p>A previously published field-experimental investigation showed that injection of nitrate in anoxic groundwater that contained aqueous and sediment-bound Fe(II) diminished concentrations of As(V) and As(III) to below drinking-water limits. In the current study, reactive transport modeling confirmed that the observed attenuation was consistent with oxidation of Fe(II) by nitrate, leading to precipitation of hydrous ferric oxide, which, in turn, sorbed both As(V) and As(III). After calibration with site-specific observations, reactive transport modeling could aid in designing effective treatment to remove arsenic using injection of nitrate to oxidize Fe(II).</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Environmental Arsenic in a Changing World","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Taylor and Francis","usgsCitation":"Kent, D.B., Smith, R.L., Jamieson, J., Bohlke, J., Repert, D.A., and Prommer, H., 2019, Reactive transport modeling to understand attenuation of arsenic concentrations in anoxic groundwater during Fe(II) oxidation by nitrate, chap. <i>of</i> Environmental Arsenic in a Changing World, p. 512-513.","productDescription":"2 p.","startPage":"512","endPage":"513","ipdsId":"IP-095134","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":408884,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":408883,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.taylorfrancis.com/chapters/oa-edit/10.1201/9781351046633-203/reactive-transport-modeling-understand-attenuation-arsenic-concentrations-anoxic-groundwater-fe-ii-oxidation-nitrate-kent-smith-jamieson-b%C3%B6hlke-repert-prommer"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"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":856153,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":true,"id":856154,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jamieson, James","contributorId":298646,"corporation":false,"usgs":false,"family":"Jamieson","given":"James","email":"","affiliations":[{"id":16662,"text":"University of Western Australia","active":true,"usgs":false}],"preferred":false,"id":856155,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":856156,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":36183,"text":"Hydro-Ecological Interactions Branch","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":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":856157,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Prommer, Henning","contributorId":298649,"corporation":false,"usgs":false,"family":"Prommer","given":"Henning","email":"","affiliations":[{"id":16662,"text":"University of Western Australia","active":true,"usgs":false}],"preferred":false,"id":856158,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70192704,"text":"70192704 - 2019 - Toward a theory of connectivity among depressional wetlands of the great plains","interactions":[],"lastModifiedDate":"2019-12-06T17:06:28","indexId":"70192704","displayToPublicDate":"2019-10-30T17:03:44","publicationYear":"2019","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"7","title":"Toward a theory of connectivity among depressional wetlands of the great plains","docAbstract":"<p>Functions of inland, freshwater depressional wetlands of the Great Plains are driven by natural disturbance in the form of fluctuating water levels or shifts between wet and dry ecological states. The geographically isolated prairie potholes and playas form broad-scale systems or networks that support biodiversity and provide ecological goods and services. Anthropogenic disturbance, primarily in the form of sediment accretion, results in the functional loss of individual wetlands from the system. The ecological value of individual depressional wetlands has been documented, but there has not been any assessment of the contribution of individual wetlands to the system. Network analysis can be used to prioritize the contribution of individual wetlands to the system for the purpose of conservation and management. We utilized the playas wetland system of the Southern High Plains to illustrate this concept. Playas form a redundant, resilient network based on natural disturbance (i.e., inundation patterns) across broad spatial and temporal scales that support biodiversity. Loss of individual playas to sediment accretion is causing the network to break down, resulting in the need for a greater proportion of inundated playas to provide the original level of ecological goods and services. The effects of decreased functional connectivity due to anthropogenic disturbance at the system scale portend negative effects on movement strategies, dynamics and persistence of local populations, decreased biodiversity, and, ultimately, the redistribution and system-wide extinction of playa wetland-dependent populations and loss of associated functions.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Disturbance ecology and biological diversity: Context, nature and scale","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"CRC Press","usgsCitation":"Albanese, G., and Haukos, D.A., 2019, Toward a theory of connectivity among depressional wetlands of the great plains, chap. 7 <i>of</i> Disturbance ecology and biological diversity: Context, nature and scale, p. 169-186.","productDescription":"18 p.","startPage":"169","endPage":"186","ipdsId":"IP-069978","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":370073,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":370072,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.taylorfrancis.com/books/9780429095146"}],"country":"United States","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Albanese, Gene","contributorId":200245,"corporation":false,"usgs":false,"family":"Albanese","given":"Gene","email":"","affiliations":[],"preferred":false,"id":776900,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haukos, David A. 0000-0001-5372-9960 dhaukos@usgs.gov","orcid":"https://orcid.org/0000-0001-5372-9960","contributorId":3664,"corporation":false,"usgs":true,"family":"Haukos","given":"David","email":"dhaukos@usgs.gov","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":716743,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70206440,"text":"70206440 - 2019 - A conceptual framework for the identification and characterization of lacustrine spawning habitats for native lake charr Salvelinus namaycush","interactions":[],"lastModifiedDate":"2019-12-03T10:02:28","indexId":"70206440","displayToPublicDate":"2019-10-30T15:30:14","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1528,"text":"Environmental Biology of Fishes","active":true,"publicationSubtype":{"id":10}},"displayTitle":"A conceptual framework for the identification and characterization of lacustrine spawning habitats for native lake charr <i>Salvelinus namaycush</i>","title":"A conceptual framework for the identification and characterization of lacustrine spawning habitats for native lake charr Salvelinus namaycush","docAbstract":"<p><span>Lake charr&nbsp;</span><i class=\"EmphasisTypeItalic \">Salvelinus namaycush</i><span>&nbsp;are endemic to the formerly glaciated regions of North America and spawn primarily in lakes, unlike most other Salmoninae. Spawning habitats for lake charr are thought to be characterized by relatively large substrate particle sizes which provide sufficient interstitial spaces for egg incubation, but little is known about the physical processes that create or maintain suitable habitats. We review the literature on lake charr spawning habitat and present a conceptual framework that examines the roles of physical variables in creating the appropriate conditions for egg incubation. A critical underlying assumption of this framework is that lake charr will select spawning habitats that provide suitable hypolentic flows for egg incubation. We suggest that the characterization of lakebed surface roughness, current patterns, substrate particle size, and groundwater flows at multiple spatial scales may yield significant insight into the physical mechanisms supporting lacustrine spawning habitats for lake charr and will be useful in creating predictive models of these habitats. This framework may also apply to other lake-spawning lithophilic fish species.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10641-019-00928-w","usgsCitation":"Riley, S., Marsden, J.E., Ridgway, M.S., Konrad, C., Farha, S., Binder, T.R., Middel, T.A., Esselman, P., and Krueger, C.C., 2019, A conceptual framework for the identification and characterization of lacustrine spawning habitats for native lake charr Salvelinus namaycush: Environmental Biology of Fishes, v. 102, no. 12, p. 1533-1557, https://doi.org/10.1007/s10641-019-00928-w.","productDescription":"25 p.","startPage":"1533","endPage":"1557","ipdsId":"IP-111423","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":368937,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -138.8671875,\n              41.77131167976407\n            ],\n            [\n              -51.85546874999999,\n              41.77131167976407\n            ],\n            [\n              -51.85546874999999,\n              69.59589006237648\n            ],\n            [\n              -138.8671875,\n              69.59589006237648\n            ],\n            [\n              -138.8671875,\n              41.77131167976407\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"102","issue":"12","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2019-10-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Riley, Stephen 0000-0002-8968-8416 sriley@usgs.gov","orcid":"https://orcid.org/0000-0002-8968-8416","contributorId":169479,"corporation":false,"usgs":true,"family":"Riley","given":"Stephen","email":"sriley@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":774544,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Marsden, J. E.","contributorId":220229,"corporation":false,"usgs":false,"family":"Marsden","given":"J.","email":"","middleInitial":"E.","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":774545,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ridgway, M. S.","contributorId":220230,"corporation":false,"usgs":false,"family":"Ridgway","given":"M.","email":"","middleInitial":"S.","affiliations":[{"id":16762,"text":"Ontario Ministry of Natural Resources and Forestry","active":true,"usgs":false}],"preferred":false,"id":774546,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Konrad, Christopher 0000-0002-7354-547X","orcid":"https://orcid.org/0000-0002-7354-547X","contributorId":220231,"corporation":false,"usgs":true,"family":"Konrad","given":"Christopher","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":774547,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Farha, Steve A. 0000-0001-9953-6996 sfarha@usgs.gov","orcid":"https://orcid.org/0000-0001-9953-6996","contributorId":5170,"corporation":false,"usgs":true,"family":"Farha","given":"Steve A.","email":"sfarha@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":774548,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Binder, Thomas R.","contributorId":220232,"corporation":false,"usgs":false,"family":"Binder","given":"Thomas","email":"","middleInitial":"R.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":774549,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Middel, Trevor A.","contributorId":220233,"corporation":false,"usgs":false,"family":"Middel","given":"Trevor","email":"","middleInitial":"A.","affiliations":[{"id":16762,"text":"Ontario Ministry of Natural Resources and Forestry","active":true,"usgs":false}],"preferred":false,"id":774550,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Esselman, Peter C. 0000-0002-0085-903X","orcid":"https://orcid.org/0000-0002-0085-903X","contributorId":204291,"corporation":false,"usgs":true,"family":"Esselman","given":"Peter C.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":774551,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Krueger, Charles C.","contributorId":169487,"corporation":false,"usgs":false,"family":"Krueger","given":"Charles","email":"","middleInitial":"C.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":774552,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70205018,"text":"70205018 - 2019 - Science questions and knowledge gaps to study microbial transport and survival in Asian and African dust plumes reaching North America","interactions":[],"lastModifiedDate":"2023-11-27T14:45:17.721563","indexId":"70205018","displayToPublicDate":"2019-10-30T13:12:29","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":667,"text":"Aerobiologia","active":true,"publicationSubtype":{"id":10}},"title":"Science questions and knowledge gaps to study microbial transport and survival in Asian and African dust plumes reaching North America","docAbstract":"<p><span>The Sahara in North Africa and the Gobi and Taklamakan deserts in Asia are the primary sources of mobilized dust in the atmosphere, with regional or global airborne transport estimated at 2 to 5 billion tonnes per year. Annual Asian dust plumes take about 7 to 10&nbsp;d to cross the Pacific Ocean, and often reach the northwest USA between late February and May. In contrast, the peak season for the movement of African dust storms to the southeastern USA is typically June to August, and dust plumes take about 5 to 7&nbsp;d to reach Florida. Although studies have documented that a wide range of bacteria, fungi, archaea, and viruses in dust plumes reach the USA each year, little is known about temporal and spatial variability in the microbial biodiversity in transoceanic dust plumes, or the effect on the deposition environments. A scoping study (called the Transoceanic Aerobiology Biodiversity Study) was conducted to develop field-based campaigns centered on examining the abundance, diversity, survival, and impact of microorganisms in transoceanic dust plumes arriving in the continental USA from Asia and Africa. This effort identified Science Questions (SQs) and Knowledge Gaps&nbsp;(KGs) that are highly relevant toward an understanding of the microbial diversity, transport, survival, and dispersal in transoceanic dusts.&nbsp;</span><i>Science Questions</i><span>&nbsp;were defined as broad science topics in transoceanic dust plume microbiology that were underexplored by the aerobiology community.&nbsp;</span><i>Knowledge Gaps</i><span>&nbsp;were defined as specific project-level research questions for each SQ that represented important topics in the study of transoceanic aerobiology.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10453-018-9541-7","usgsCitation":"Schuerger, A.C., Smith, D., Griffin, D.W., Jaffe, D.A., Wawrik, B., Burrows, S.M., Christner, B., Gonzalez-Martin, C., Lipp, E.K., Schmale, D.G., and Yu, H., 2019, Science questions and knowledge gaps to study microbial transport and survival in Asian and African dust plumes reaching North America: Aerobiologia, v. 34, p. 425-435, https://doi.org/10.1007/s10453-018-9541-7.","productDescription":"11 p.","startPage":"425","endPage":"435","ipdsId":"IP-095483","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":467314,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1007/s10453-018-9541-7","text":"External Repository"},{"id":367020,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"34","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-10-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Schuerger, Andrew C.","contributorId":17444,"corporation":false,"usgs":true,"family":"Schuerger","given":"Andrew","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":888664,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, David J.","contributorId":76565,"corporation":false,"usgs":true,"family":"Smith","given":"David J.","affiliations":[],"preferred":false,"id":769650,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Griffin, Dale W. 0000-0003-1719-5812 dgriffin@usgs.gov","orcid":"https://orcid.org/0000-0003-1719-5812","contributorId":2178,"corporation":false,"usgs":true,"family":"Griffin","given":"Dale","email":"dgriffin@usgs.gov","middleInitial":"W.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":769583,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jaffe, Daniel A.","contributorId":181888,"corporation":false,"usgs":false,"family":"Jaffe","given":"Daniel","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":888665,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wawrik, B.","contributorId":80471,"corporation":false,"usgs":true,"family":"Wawrik","given":"B.","email":"","affiliations":[],"preferred":false,"id":888666,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Burrows, Susannah M.","contributorId":331741,"corporation":false,"usgs":false,"family":"Burrows","given":"Susannah","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":888667,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Christner, Brent","contributorId":267829,"corporation":false,"usgs":false,"family":"Christner","given":"Brent","email":"","affiliations":[],"preferred":false,"id":888668,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gonzalez-Martin, Cristina","contributorId":30084,"corporation":false,"usgs":true,"family":"Gonzalez-Martin","given":"Cristina","email":"","affiliations":[],"preferred":false,"id":888669,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lipp, Erin K.","contributorId":73823,"corporation":false,"usgs":true,"family":"Lipp","given":"Erin","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":888670,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Schmale, David G. III","contributorId":331742,"corporation":false,"usgs":false,"family":"Schmale","given":"David","suffix":"III","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":888671,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Yu, Hongbin","contributorId":218579,"corporation":false,"usgs":false,"family":"Yu","given":"Hongbin","email":"","affiliations":[],"preferred":false,"id":888672,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70206442,"text":"70206442 - 2019 - Landsat time series assessment of invasive annual grasses following energy development","interactions":[],"lastModifiedDate":"2019-11-05T06:33:48","indexId":"70206442","displayToPublicDate":"2019-10-30T12:39:27","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Landsat time series assessment of invasive annual grasses following energy development","docAbstract":"Invasive annual grasses are of concern in many areas of the Western United States because they tolerate resource variability and have high reproductive capacity, with propagules that are readily dispersed in disturbed areas like those created and maintained for energy development. Early-season invasive grasses “green up” earlier than the most native plants, producing a distinct pulse of greenness in the early spring that can be exploited to identify their location using multi-date imagery. To determine if invasive annual grasses increased around energy development areas after the construction phase, we calculated an invasive index using Landsat TM and ETM+ imagery for a 34-year time period (1985–2018) and assessed trends for 1755 wind turbines installed between 1988 and 2013 in the Southern California Desert. The index uses the maximum normalized difference vegetation index (NDVI) for early-season greenness (January–June) and mean NDVI (July–October) for the later dry season. We estimated the relative cover of invasive annuals each year at turbine locations and control sites, and tested for changes before and after each turbine was installed. The time series was also mapped across the region and temporal trends were assessed relative to seasonal precipitation. The results showed an increase in early-season invasives at turbine sites after installation, but also an increase in many of the surrounding control areas. Maps of the invasive index show a region-wide increase starting at around 1998, and a great deal of the increase occurred in areas surrounding wind development sites. These results suggest that invasions around the energy developments occurred within the context of a larger regional invasion, and while the development did not necessarily initiate the invasion, annual grasses were more prevalent around the development areas.","language":"English","publisher":"MDPI","publisherLocation":"Basel, Switzerland","doi":"10.3390/rs11212553","collaboration":"WGSC","usgsCitation":"Villarreal, M.L., Soulard, C.E., and Waller, E., 2019, Landsat time series assessment of invasive annual grasses following energy development: Remote Sensing, v. 11, no. 21, p. 1-18, https://doi.org/10.3390/rs11212553.","productDescription":"2533, 18p.","startPage":"1","endPage":"18","ipdsId":"IP-111295","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":459316,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs11212553","text":"Publisher Index Page"},{"id":368926,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Colorado Desert, Mojave Desert","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -116.54296874999999,\n              33.61461929233378\n            ],\n            [\n              -114.47753906249999,\n              33.61461929233378\n            ],\n            [\n              -114.47753906249999,\n              34.66032236481892\n            ],\n            [\n              -116.54296874999999,\n              34.66032236481892\n            ],\n            [\n              -116.54296874999999,\n              33.61461929233378\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -116.378173828125,\n              35.71083783530009\n            ],\n            [\n              -117.90527343750001,\n              37.055177106660814\n            ],\n            [\n              -119.53125,\n              35.92464453144099\n            ],\n            [\n              -117.7734375,\n              34.379712580462204\n            ],\n            [\n              -116.378173828125,\n              35.71083783530009\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"11","issue":"21","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-10-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Villarreal, Miguel L. 0000-0003-0720-1422 mvillarreal@usgs.gov","orcid":"https://orcid.org/0000-0003-0720-1422","contributorId":1424,"corporation":false,"usgs":true,"family":"Villarreal","given":"Miguel","email":"mvillarreal@usgs.gov","middleInitial":"L.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":774555,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Soulard, Christopher E. 0000-0002-5777-9516 csoulard@usgs.gov","orcid":"https://orcid.org/0000-0002-5777-9516","contributorId":2642,"corporation":false,"usgs":true,"family":"Soulard","given":"Christopher","email":"csoulard@usgs.gov","middleInitial":"E.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":774556,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Waller, Eric 0000-0002-9169-9210","orcid":"https://orcid.org/0000-0002-9169-9210","contributorId":220101,"corporation":false,"usgs":false,"family":"Waller","given":"Eric","affiliations":[],"preferred":false,"id":774557,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70208697,"text":"70208697 - 2019 - 2016 Chief Joseph hatchery annual report","interactions":[],"lastModifiedDate":"2020-06-01T17:42:55.276578","indexId":"70208697","displayToPublicDate":"2019-10-30T12:35:26","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"title":"2016 Chief Joseph hatchery annual report","docAbstract":"<p>The Colville Confederated Tribes (CCT) Chief Joseph Hatchery (CJH) is the fourth hatchery obligated under the Grand Coulee Dam/Dry Falls project, originating in the 1940s. Leavenworth, Entiat, and Winthrop National Fish Hatcheries were built and operated as mitigation for salmon blockage at Grand Coulee Dam, but the fourth hatchery was not built, and the obligation was nearly forgotten. After the Colville Tribes successfully collaborated with the United States to resurrect the project, planning of the hatchery began in 2001 and construction was completed in 2013. The monitoring program began in 2012 and adult Chinook Salmon were brought on station for the first time in June 2013. Bonneville Power Administration (BPA) is the primary funding source for CJH, and the Mid-Columbia PUDs (Douglas, Grant and Chelan County) have entered into cost-share agreements with the tribes and BPA in order to meet some of their mitigation obligations. </p>","language":"English","publisher":"Colville Confederated Tribes fish and Wildlife Program","usgsCitation":"Pearl, A., Laramie, M., Baldwin, C., Rohrback, J., Dietz, B., Phillips, P., and Scott, T., 2019, 2016 Chief Joseph hatchery annual report, 198 p.","productDescription":"198 p.","ipdsId":"IP-112855","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":375191,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":375190,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.cct-fnw.com/reports"}],"country":"United States","state":"Washington","otherGeospatial":"Chief Joseph Hatchery, Columbia River, Okanagon River basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.64636230468749,\n              47.938426929481054\n            ],\n            [\n              -119.30877685546876,\n              47.938426929481054\n            ],\n            [\n              -119.30877685546876,\n              48.99463598353405\n            ],\n            [\n              -120.64636230468749,\n              48.99463598353405\n            ],\n            [\n              -120.64636230468749,\n              47.938426929481054\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Pearl, Andrea","contributorId":178154,"corporation":false,"usgs":false,"family":"Pearl","given":"Andrea","email":"","affiliations":[],"preferred":false,"id":783054,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Laramie, Matthew 0000-0001-7820-2583 mlaramie@usgs.gov","orcid":"https://orcid.org/0000-0001-7820-2583","contributorId":152532,"corporation":false,"usgs":true,"family":"Laramie","given":"Matthew","email":"mlaramie@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":783053,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baldwin, Casey","contributorId":178155,"corporation":false,"usgs":false,"family":"Baldwin","given":"Casey","affiliations":[],"preferred":false,"id":783055,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rohrback, John","contributorId":178156,"corporation":false,"usgs":false,"family":"Rohrback","given":"John","email":"","affiliations":[],"preferred":false,"id":783056,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dietz, Brian","contributorId":222733,"corporation":false,"usgs":false,"family":"Dietz","given":"Brian","email":"","affiliations":[{"id":27988,"text":"Colville Confederated Tribes","active":true,"usgs":false}],"preferred":false,"id":783057,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Phillips, Pat","contributorId":178157,"corporation":false,"usgs":false,"family":"Phillips","given":"Pat","email":"","affiliations":[],"preferred":false,"id":783058,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Scott, Taylor","contributorId":222734,"corporation":false,"usgs":false,"family":"Scott","given":"Taylor","email":"","affiliations":[{"id":27988,"text":"Colville Confederated Tribes","active":true,"usgs":false}],"preferred":false,"id":783059,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70205472,"text":"sir20195091 - 2019 - Summary of hydrologic testing, wellbore-flow data, and expanded water-level and water-quality data, 2011–15, Fort Irwin National Training Center, San Bernardino County, California","interactions":[],"lastModifiedDate":"2019-10-31T07:58:13","indexId":"sir20195091","displayToPublicDate":"2019-10-30T11:37:52","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":"2019-5091","displayTitle":"Summary of Hydrologic Testing, Wellbore<span>&#8208;</span>Flow Data, and Expanded Water<span>&#8208;</span>Level and Water<span>&#8208;</span>Quality Data, 2011<span>&#8211;</span>15, Fort Irwin Training Center, San Bernardino County, California","title":"Summary of hydrologic testing, wellbore-flow data, and expanded water-level and water-quality data, 2011–15, Fort Irwin National Training Center, San Bernardino County, California","docAbstract":"<p>In view of the U.S. Army’s historical reliance and plans to increase demands on groundwater to supply its operations at Fort Irwin National Training Center (NTC), California, coupled with the continuing water-level declines in some developed groundwater basins as a result of pumping, the U.S. Geological Survey (USGS), in cooperation with the U.S. Army, evaluated the water resources, including water quality and potential groundwater supply, of undeveloped basins in the NTC. Previous work in the three developed groundwater basins—Langford, Bicycle, and Irwin—provided information to support water-resources management of those basins. During 2009–12, the USGS installed 41 wells at the NTC; 34 wells were at 14 single- or multiple-well monitoring sites, and 7 wells were long-screen test wells. The majority of the wells were installed in previously undeveloped or minimally developed groundwater basins (Cronise, Red Pass, the Central Corridor area, Superior, Goldstone, and Nelson Basins). During 2012–15, the USGS tested hydrologic properties at 32 wells in 8 basins to help characterize the aquifer system. This report presents data and analyses from core samples; slug tests and single-well aquifer tests; coupled measurements of wellbore flow, water levels, and water-quality constituents; and results from two-dimensional numerical modeling. This information provides a basis for developing and constraining basin-scale hydrogeologic framework and groundwater-flow models to further evaluate water resources in each groundwater basin.</p><p>Core samples were tested for vertical saturated hydraulic conductivity, physical properties, and particle-size distribution. Vertical saturated hydraulic conductivities of the cores ranged from less than 0.00001 to 18.13 feet per day, and porosities ranged from 0.15 to 0.56. These physical properties and particle-size analyses indicate the high degree of heterogeneity of the hydrogeologic deposits penetrated by the boreholes. Horizontal hydraulic conductivities estimated from slug tests in 22 monitoring wells in 6 basins (Cronise, Central Corridor area, Goldstone, Langford, Bicycle, and Nelson Basins) ranged from less than 0.1 to 40 feet per day. Results of the aquifer tests at six test wells in the Goldstone, Nelson, and Superior Basins indicate hydraulic conductivities ranged from 0.37 to 66 feet per day; associated transmissivity values ranged from 130 to 28,000 feet squared per day. Wellbore-flow data, collected from the six test wells under unpumped and pumped conditions, generally showed downward movement of water. Flow data collected under unpumped conditions indicate groundwater entered the well through the upper part of the screened interval and exited to aquifer zones in the lower part of the screened interval at rates ranging from 1 to 3 gallons per minute. Flow data collected under pumping conditions show increased flow downward in the test wells, indicating higher yields from deeper aquifers.</p><p>Water levels, measured periodically between 2011 and 2015, remained stable during this period in the majority of the wells measured since 2011, except at two monitoring sites in developed basins (Bicycle and Langford). Vertical hydraulic gradients were generally low throughout the NTC, but ranged from –0.0003 to 0.27 during the summer of 2015. Multiple-well monitoring sites in Bicycle, Central Corridor area, Cronise, Goldstone, Nelson, and Superior Basins, had downward vertical gradients.</p><p>Groundwater in wells in Nelson and Superior Basins, and wells BLA5, CCT1, and GOLD2 #2, was characterized as sodium-bicarbonate water, whereas groundwater from the remaining wells in Goldstone Basin was characterized as sodium-chloride water and Cronise Basin, and well LL04 was characterized by sodium-sulfate water. Total dissolved solids (TDS) ranged from 285 to 13,400 milligrams per liter (mg/L) TDS and chloride concentrations ranged from 19 to 1,030 mg/L chloride, with lowest concentrations of each in groundwater from Superior and Nelson Basins and highest concentrations in Cronise Basin. Nitrate plus nitrite as nitrogen ranged from less than 0.040 mg/L in groundwater from Cronise and Goldstone Basins to about 20 mg/L in Nelson Basin. Groundwater from wells in Nelson Basin was isotopically light, whereas groundwater samples from wells CRTH1, CRTH2, and LL04 were isotopically heavier and plotted along an evaporative trend line. No measurable tritium was detected in groundwater from 13 wells sampled in 2015, indicating that groundwater was recharged prior to 1952. Measured carbon-14 (<sup>14</sup>C) activities in groundwater from four wells sampled in 2015 ranged from about 7.9 to 23.5 percent modern carbon and had apparent (uncorrected) ages of 11,970–20,980 years. Arsenic concentrations were above the maximum contaminant level of 10 micrograms per liter in groundwater from all wells, except those in Goldstone Basin and the two deepest wells in Langford Basin (LL04); likewise, fluoride concentrations were above the California maximum contaminant level of 2 mg/L in groundwater from most wells, except those in Goldstone and Superior Basins, the middle well in Langford Basin, middle and deep wells in two locations in Cronise Basin, and two wells in Nelson Basin.</p><p>Wellbore flow was simulated for each well by using an integrated-flow analysis tool, AnalyzeHOLE, to evaluate aquifer properties and heterogeneity. Horizontal layers in the model (hydrogeologic units) were defined by lithostratigraphic‐geophysical units, interpreted from lithologic and geophysical logs for each well, and were adjusted during calibration. The saturated hydraulic conductivities derived from the calibrated simulations ranged from less than 0.01 to 60 feet per day in Nelson, Goldstone, and Superior Basins.<br></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195091","collaboration":"Prepared in cooperation with the U.S. Army Fort Irwin National Training Center","usgsCitation":"Nawikas, J.M., Densmore, J.N., O’Leary, D.R., Buesch, D.C., and Izbicki, J.A., 2019, Summary of hydrologic testing, wellbore-flow data, and expanded water-level and water-quality data, 2011–15, Fort Irwin National Training Center, San Bernardino County, California: U.S. Geological Survey Scientific Investigations Report 2019–5091, 161 p., https://doi.org/10.3133/sir20195091.","productDescription":"Report: xvi, 161 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-068711","costCenters":[{"id":154,"text":"California Water Science 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Bernardino\",\"state\":\"CA\"}}]}","contact":"<p><a href=\"mailto:dc_ca@usgs.gov\" data-mce-href=\"mailto:dc_ca@usgs.gov\">Director</a>,<br><a href=\"https://ca.water.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://ca.water.usgs.gov\">California Water 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>6000 J Street, Placer Hall<br>Sacramento, California 95819</p>","tableOfContents":"<p></p><ul><li>Abstract</li><li>Introduction</li><li>Methods of Study</li><li>Hydrologic Testing (Horizontal Hydraulic Conductivity and Aquifer Transmissivity)</li><li>Wellbore-Flow Data</li><li>Groundwater Levels, Gradients, and Water-Quality Data</li><li>Numerical Modeling</li><li>Summary and Conclusions</li><li>References Cited</li><li>Appendix</li></ul><p></p>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2019-10-29","noUsgsAuthors":false,"publicationDate":"2019-10-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Nawikas, Joseph M. 0000-0001-9061-6674 jnawika@usgs.gov","orcid":"https://orcid.org/0000-0001-9061-6674","contributorId":5292,"corporation":false,"usgs":true,"family":"Nawikas","given":"Joseph","email":"jnawika@usgs.gov","middleInitial":"M.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":771321,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Densmore, Jill N. 0000-0002-5345-6613 jidensmo@usgs.gov","orcid":"https://orcid.org/0000-0002-5345-6613","contributorId":1474,"corporation":false,"usgs":true,"family":"Densmore","given":"Jill","email":"jidensmo@usgs.gov","middleInitial":"N.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":771322,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O'Leary, David R. 0000-0001-9888-1739 doleary@usgs.gov","orcid":"https://orcid.org/0000-0001-9888-1739","contributorId":175504,"corporation":false,"usgs":true,"family":"O'Leary","given":"David R.","email":"doleary@usgs.gov","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":774101,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Buesch, David C. 0000-0002-4978-5027 dbuesch@usgs.gov","orcid":"https://orcid.org/0000-0002-4978-5027","contributorId":1154,"corporation":false,"usgs":true,"family":"Buesch","given":"David","email":"dbuesch@usgs.gov","middleInitial":"C.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":774102,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Izbicki, John A. 0000-0003-0816-4408 jaizbick@usgs.gov","orcid":"https://orcid.org/0000-0003-0816-4408","contributorId":152474,"corporation":false,"usgs":true,"family":"Izbicki","given":"John","email":"jaizbick@usgs.gov","middleInitial":"A.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":774103,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70212131,"text":"70212131 - 2019 - Riverscape correlates for distribution of threatened spotfin chub Erimonax monachus in the Tennessee River Basin, USA","interactions":[],"lastModifiedDate":"2020-08-14T15:48:46.613143","indexId":"70212131","displayToPublicDate":"2019-10-30T10:40:12","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1497,"text":"Endangered Species Research","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Riverscape correlates for distribution of threatened spotfin chub <i>Erimonax monachus</i> in the Tennessee River Basin, USA","title":"Riverscape correlates for distribution of threatened spotfin chub Erimonax monachus in the Tennessee River Basin, USA","docAbstract":"<p><span>Globally, aquatic biodiversity is imperiled at an increasing rate, especially in diversity hotspots such as the southeastern USA. The spotfin chub&nbsp;</span><i>Erimonax monachus</i><span>&nbsp;is a federally threatened minnow with a disjunct distribution resulting from numerous impoundments on the Tennessee River and its tributaries in the heart of the southeastern USA. Recovery actions required to remove federal protection for&nbsp;</span><i>E. monachus</i><span>&nbsp;are dependent on the establishment of additional populations within the historical range of the species, but little is known regarding macroscale habitat requirements that could guide conservation planning. We analyzed local- and network-scale watershed attributes to develop an ecological niche model (ENM) for&nbsp;</span><i>E. monachus</i><span>&nbsp;useful for directing conservation actions at sampled and unsampled sites across the Tennessee River Basin. We found&nbsp;</span><i>E. monachus</i><span>&nbsp;occurred most often in larger streams with large upstream catchment areas and minimal alteration to forested uplands, but all of these sites were in close proximity to high densities of downstream dams due to populations being restricted to large-stream habitat upstream of reservoirs. The ENM showed the highest probability of&nbsp;</span><i>E. monachus</i><span>&nbsp;occurrence among catchment locations with known extant populations; however, additional historical and previously unoccupied catchments showed potential for successful (re)introductions, provided that fine-scale habitats are appropriate. Our framework can be used to identify potential survey and (re)introduction sites for&nbsp;</span><i>E. monachus</i><span>&nbsp;as well as other rare riverine fishes and represents a method for identifying areas of high priority for conserving aquatic biodiversity.</span></p>","language":"English","publisher":"Inter-Research Science Publisher","doi":"10.3354/esr00983","usgsCitation":"Perkin, J., Gibbs, W.K., Ridgway, J.L., and Cook, S.B., 2019, Riverscape correlates for distribution of threatened spotfin chub Erimonax monachus in the Tennessee River Basin, USA: Endangered Species Research, v. 40, p. 91-105, https://doi.org/10.3354/esr00983.","productDescription":"15 p.","startPage":"91","endPage":"105","ipdsId":"IP-105866","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":459319,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/esr00983","text":"Publisher Index Page"},{"id":377530,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Georgia, Kentucky, Mississippi, North Carolina, Tennessee, Virginia","otherGeospatial":"Tennessee River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -88.450927734375,\n              34.07086232376631\n            ],\n            [\n              -81.112060546875,\n              34.07086232376631\n            ],\n            [\n              -81.112060546875,\n              37.09023980307208\n            ],\n            [\n              -88.450927734375,\n              37.09023980307208\n            ],\n            [\n              -88.450927734375,\n              34.07086232376631\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"40","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Perkin, Joshuah S.","contributorId":238286,"corporation":false,"usgs":false,"family":"Perkin","given":"Joshuah S.","affiliations":[{"id":47708,"text":"Department of Wildlife and Fisheries Sciences, Texas A&M University, College Station, TX","active":true,"usgs":false}],"preferred":false,"id":796237,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gibbs, W. Keith","contributorId":238287,"corporation":false,"usgs":false,"family":"Gibbs","given":"W.","email":"","middleInitial":"Keith","affiliations":[{"id":47709,"text":"Department of Biology, Tennessee Technological University, Cookeville, TN","active":true,"usgs":false}],"preferred":false,"id":796238,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ridgway, Josey Lee 0000-0003-4157-7255","orcid":"https://orcid.org/0000-0003-4157-7255","contributorId":238277,"corporation":false,"usgs":true,"family":"Ridgway","given":"Josey","email":"","middleInitial":"Lee","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":796239,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cook, S. Bradford","contributorId":238288,"corporation":false,"usgs":false,"family":"Cook","given":"S.","email":"","middleInitial":"Bradford","affiliations":[{"id":47709,"text":"Department of Biology, Tennessee Technological University, Cookeville, TN","active":true,"usgs":false}],"preferred":false,"id":796240,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70218296,"text":"70218296 - 2019 - Introduction: Defining and interpreting ecological disturbances","interactions":[],"lastModifiedDate":"2021-04-14T14:56:35.541972","indexId":"70218296","displayToPublicDate":"2019-10-30T09:51:43","publicationYear":"2019","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"1","title":"Introduction: Defining and interpreting ecological disturbances","docAbstract":"<p><span>Within the field of ecology, disturbance can be defined as a physical force, agent, or process, either abiotic or biotic, causing a perturbation or stress, to an ecological component or system, relative to a specified reference state and/or system. Disturbance drive ecosystems, and our understanding of how disturbances interact with biological diversity and scales of space, time, and ecological complexity, have matured over a century of advancement in ecology since early ideas of perturbations and community organization were first formalized. Throughout this book, we approach a set of unifying framing questions for disturbance ecology, including: How can disturbances be categorized in meaningful ways? How do we address scale in disturbance ecology? How does geographic context influence ecological consequences of disturbance, in the near and longer terms? In this introductory chapter, we provide an overview of disturbance ecology and the related topics of diversity and scale that are fundamental to understanding the dynamics of perturbed ecosystems. Subsequently, we outline recent advances in disturbance ecology, which have facilitated greater understanding about dynamic systems and context dependencies. These, in turn, have provided richer insights into the complex manner in which ecosystems change under stress. We survey analytical and methodological advances that are expanding the data flows available to inform disturbance ecology as well as the statistical tools available to investigate disturbance dynamics and ecosystem structure and function. Finally, we lay out four core themes threaded through the remainder of the book: (1) fundamental mechanisms related to ecological theory drive complex system behaviors, including the existence of thresholds; (2) dynamics of ecological disturbance are context-dependent and can be unpredictable; (3) antecedent conditions and the legacies of past disturbances influence contemporary ecosystem dynamics; and (4) natural and anthropogenic disturbances interact in complex ways. Summaries are provided for each of the book’s remaining chapters, highlighting how that material relates to these four core themes. In sum, in this introductory chapter we seek to set a foundation for concepts to ground the remainder of the book. By highlighting constraints in past research and identifying research frontiers, we hope to provide a path forward for advancements in disturbance ecology.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Disturbance ecology and biological diversity","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Taylor & Francis","usgsCitation":"Beever, E.A., Sethi, S.A., Prange, S., and DellaSala, D., 2019, Introduction: Defining and interpreting ecological disturbances, chap. 1 <i>of</i> Disturbance ecology and biological diversity, p. 3-38.","productDescription":"36 p.","startPage":"3","endPage":"38","ipdsId":"IP-107466","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":385095,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Beever, Erik A. 0000-0002-9369-486X ebeever@usgs.gov","orcid":"https://orcid.org/0000-0002-9369-486X","contributorId":2934,"corporation":false,"usgs":true,"family":"Beever","given":"Erik","email":"ebeever@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":810896,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sethi, Suresh Andrew 0000-0002-9369-487X ssethi@usgs.gov","orcid":"https://orcid.org/0000-0002-9369-487X","contributorId":252537,"corporation":false,"usgs":true,"family":"Sethi","given":"Suresh","email":"ssethi@usgs.gov","middleInitial":"Andrew","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":810897,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Prange, Suzanne","contributorId":257437,"corporation":false,"usgs":false,"family":"Prange","given":"Suzanne","email":"","affiliations":[],"preferred":false,"id":810898,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DellaSala, Dominick","contributorId":252539,"corporation":false,"usgs":false,"family":"DellaSala","given":"Dominick","affiliations":[{"id":7216,"text":"Geos Institute","active":true,"usgs":false}],"preferred":false,"id":810899,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70208840,"text":"70208840 - 2019 - Noninvasive identification of cryptic herpetofauna from fecal samples: A novel approach pairing conservation dog surveys and genetic analysis","interactions":[],"lastModifiedDate":"2020-03-03T09:20:23","indexId":"70208840","displayToPublicDate":"2019-10-30T09:16:53","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Noninvasive identification of cryptic herpetofauna from fecal samples: A novel approach pairing conservation dog surveys and genetic analysis","docAbstract":"Noninvasive fecal sampling combined with genetic analysis is a powerful technique allowing the study of elusive or otherwise difficult to monitor species without the need for direct contact. While this method is widely used in birds and mammals, it has never been successfully applied on a large scale in reptiles. The blunt-nosed leopard lizard (Gambelia sila) is an endangered species endemic to the San Joaquin Desert of California. Presently, acquiring data on G. sila for research and management involves more traditional methods such as live capture to obtain tissue samples for DNA analysis, or observation via visual surveys, which are also used for regulatory monitoring in accordance with wildlife agency protocols. Here we describe an innovative approach for gathering additional information, that combines use of conservation detection dogs trained to locate G. sila scat samples with genetic analysis for identifying and distinguishing among sympatric lizard species. We developed two PCR assays that produce fluorescently labelled amplicons of species-specific fragment length for six lizard species in the study area. Using these assays we genetically identifed to species 78% (255 of 327) of samples collected by dog-handler teams across four years. The majority of the genetically identifed samples (82.4%; 210 of 255) were confirmed as originating from G. sila. Beyond the immediate application of these techniques for the study and monitoring of G. sila, our ability to recover usable DNA and to differentiate among a diverse group of lizards highlights the broad potential of our methodology for noninvasive sampling in reptiles.","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.21772","usgsCitation":"Statham, M., Woollett, D., Fresquez, S., Pfeiffer, J., Richmond, J.Q., Whitelaw, A., Richards, N., Westphal, M.F., and Sacks, B., 2019, Noninvasive identification of cryptic herpetofauna from fecal samples: A novel approach pairing conservation dog surveys and genetic analysis: Journal of Wildlife Management, v. 84, no. 1, p. 66-74, https://doi.org/10.1002/jwmg.21772.","productDescription":"9 p.","startPage":"66","endPage":"74","ipdsId":"IP-108407","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":459322,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.21772","text":"Publisher Index Page"},{"id":372841,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Joaquin Desert","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121.1517333984375,\n              34.619647359797185\n            ],\n            [\n              -117.82287597656249,\n              34.619647359797185\n            ],\n            [\n              -117.82287597656249,\n              37.01571219880126\n            ],\n            [\n              -121.1517333984375,\n              37.01571219880126\n            ],\n            [\n              -121.1517333984375,\n              34.619647359797185\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"84","issue":"1","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2019-10-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Statham, MJ","contributorId":222937,"corporation":false,"usgs":false,"family":"Statham","given":"MJ","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":783592,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Woollett, DA","contributorId":222938,"corporation":false,"usgs":false,"family":"Woollett","given":"DA","email":"","affiliations":[{"id":40629,"text":"Working Dogs for Conservation","active":true,"usgs":false}],"preferred":false,"id":783593,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fresquez, S","contributorId":222939,"corporation":false,"usgs":false,"family":"Fresquez","given":"S","email":"","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":783594,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pfeiffer, John M.","contributorId":202521,"corporation":false,"usgs":false,"family":"Pfeiffer","given":"John M.","affiliations":[{"id":36469,"text":"Florida Museum of Natural History","active":true,"usgs":false}],"preferred":false,"id":783595,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Richmond, Jonathan Q. 0000-0001-9398-4894 jrichmond@usgs.gov","orcid":"https://orcid.org/0000-0001-9398-4894","contributorId":5400,"corporation":false,"usgs":true,"family":"Richmond","given":"Jonathan","email":"jrichmond@usgs.gov","middleInitial":"Q.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":783591,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Whitelaw, A","contributorId":222940,"corporation":false,"usgs":false,"family":"Whitelaw","given":"A","email":"","affiliations":[{"id":40629,"text":"Working Dogs for Conservation","active":true,"usgs":false}],"preferred":false,"id":783596,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Richards, NL","contributorId":222941,"corporation":false,"usgs":false,"family":"Richards","given":"NL","email":"","affiliations":[{"id":40629,"text":"Working Dogs for Conservation","active":true,"usgs":false}],"preferred":false,"id":783597,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Westphal, Michael F.","contributorId":192139,"corporation":false,"usgs":false,"family":"Westphal","given":"Michael","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":783598,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sacks, BN","contributorId":222942,"corporation":false,"usgs":false,"family":"Sacks","given":"BN","email":"","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":783599,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70209438,"text":"70209438 - 2019 - Early life exposure to triphenyl phosphate: Effects on thyroid function, growth, and resting metabolic rate of Japanese quail (Coturnix japonica) chicks","interactions":[],"lastModifiedDate":"2020-04-07T14:19:43.754712","indexId":"70209438","displayToPublicDate":"2019-10-30T08:32:24","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1555,"text":"Environmental Pollution","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Early life exposure to triphenyl phosphate: Effects on thyroid function, growth, and resting metabolic rate of Japanese quail (<i>Coturnix japonica</i>) chicks","title":"Early life exposure to triphenyl phosphate: Effects on thyroid function, growth, and resting metabolic rate of Japanese quail (Coturnix japonica) chicks","docAbstract":"<p><span>Triphenyl phosphate (TPHP; CAS # 115-86-6), a commonly used plasticizer and flame retardant, has been reported in wild birds and identified as a potential high-risk chemical. We exposed Japanese quail (</span><i>Coturnix japonica</i><span>) by&nbsp;</span><i>in ovo</i><span>&nbsp;injection, and once hatched, orally each day for 5 days to safflower oil (controls) or TPHP dissolved in vehicle at low (5 ng TPHP/g), mid (50 ng TPHP/g), or high (100 ng TPHP/g) nominal TPHP doses. The low TPHP dose reflected concentrations in wild bird eggs, with mid and high doses 10x and 20x greater to reflect potential increases in environmental TPHP concentrations in the future. Despite no effects on mRNA expression in thyroid-related genes, TPHP exposure enhanced thyroid gland structure in high TPHP males, but in females, suppressed thyroid gland structure and activity (all TPHP females), and circulating free triiodothyronine (high TPHP females only). Consistent with thyroidal changes, and compared to controls, mid and high TPHP chicks experienced significantly reduced resting metabolic rate (≤13%) and growth (≤53%); mid TPHP males and high TPHP females were significantly smaller. The observed thyroidal effects and suppressed growth and metabolic rate of the quail chicks suggest that TPHP may adversely affect the health of wild birds.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.envpol.2019.05.110","usgsCitation":"Guigueno, M., Head, J., Letcher, R.J., Karouna-Renier, N., Peters, L., Hanas, A., and Fernie, K., 2019, Early life exposure to triphenyl phosphate: Effects on thyroid function, growth, and resting metabolic rate of Japanese quail (Coturnix japonica) chicks: Environmental Pollution, v. 253, p. 899-908, https://doi.org/10.1016/j.envpol.2019.05.110.","productDescription":"10 p.","startPage":"899","endPage":"908","ipdsId":"IP-105998","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":373788,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"253","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Guigueno, Melanie F.","contributorId":206107,"corporation":false,"usgs":false,"family":"Guigueno","given":"Melanie F.","affiliations":[{"id":37248,"text":"Environment & Climate Change Canada","active":true,"usgs":false}],"preferred":false,"id":786477,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Head, J.","contributorId":6595,"corporation":false,"usgs":true,"family":"Head","given":"J.","email":"","affiliations":[],"preferred":false,"id":786478,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Letcher, R. J.","contributorId":8062,"corporation":false,"usgs":true,"family":"Letcher","given":"R.","middleInitial":"J.","affiliations":[],"preferred":false,"id":786479,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Karouna-Renier, Natalie 0000-0001-7127-033X nkarouna@usgs.gov","orcid":"https://orcid.org/0000-0001-7127-033X","contributorId":200983,"corporation":false,"usgs":true,"family":"Karouna-Renier","given":"Natalie","email":"nkarouna@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":786480,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Peters, Lisa","contributorId":26770,"corporation":false,"usgs":true,"family":"Peters","given":"Lisa","affiliations":[],"preferred":false,"id":786481,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hanas, A.M.","contributorId":223866,"corporation":false,"usgs":false,"family":"Hanas","given":"A.M.","email":"","affiliations":[],"preferred":false,"id":786482,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fernie, K.J.","contributorId":67630,"corporation":false,"usgs":true,"family":"Fernie","given":"K.J.","affiliations":[],"preferred":false,"id":786483,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70215183,"text":"70215183 - 2019 - Age and growth of Freshwater Drum and Gizzard Shad occupying two reservoir-river complexes with different groundwater contributions","interactions":[],"lastModifiedDate":"2020-10-09T13:21:13.389982","indexId":"70215183","displayToPublicDate":"2019-10-30T08:16:21","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Age and growth of Freshwater Drum and Gizzard Shad occupying two reservoir-river complexes with different groundwater contributions","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Restoring groundwater flow is a management option that improves water temperature regimes and benefits fishes. Although this strategy applies more readily to river systems, the thermal character of reservoirs is heavily influenced by inflowing rivers. We examined differences in age, structure, and growth of both Freshwater Drum<span>&nbsp;</span><i>Aplodinotus grunniens</i><span>&nbsp;</span>and Gizzard Shad<span>&nbsp;</span><i>Dorosoma cepedianum</i><span>&nbsp;</span>that occupy catchments with varying groundwater contributions in the south‐central United States. Seepage run data indicated that the Kiamichi River was losing surface water to groundwater in summer 2016, whereas groundwater inflows were apparent in the Elk River basin. Summer 2016 data showed that the Elk River had cooler water temperatures than the Kiamichi River and Grand Lake O’ the Cherokees water temperatures were similar to those in the incoming Elk River. We found higher densities of older Freshwater Drum and Gizzard Shad (maximums of 32 and 8&nbsp;years old, respectively) in samples from the Grand basin than among fish that were sampled from the Kiamichi River basin (21 and 6&nbsp;years old, respectively). Freshwater Drum grew at similar rates in both basins even though they reached larger maximum lengths in the Grand basin (649&nbsp;mm TL) than in the Kiamichi River basin (600&nbsp;mm). The average asymptotic length was greater for the Kiamichi population (<i>L</i><sub>∞</sub>&nbsp;=&nbsp;613&nbsp;mm) than for the Grand population (<i>L</i><sub>∞</sub>&nbsp;=&nbsp;557&nbsp;mm). Gizzard Shad from the Grand basin were larger than those from the Kiamichi River basin, though the latter population grew faster initially (Brody growth coefficient:<span>&nbsp;</span><i>K&nbsp;</i>=<i>&nbsp;</i>0.787 versus<span>&nbsp;</span><i>K&nbsp;</i>=<i>&nbsp;</i>0.179, respectively), but they had smaller asymptotic length (<i>L</i><sub>∞</sub>&nbsp;=&nbsp;206&nbsp;mm versus<span>&nbsp;</span><i>L</i><sub>∞</sub>&nbsp;=&nbsp;343&nbsp;mm). The role that groundwater plays in temperature regulation in these basins partially explains the observed differences. Our results suggest that the metabolic theory of ecology can be applied to fisheries management at a finer spatial scale.</p></div></div>","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.10342","usgsCitation":"Dattilo, J., Shoup, D., and Brewer, S.K., 2019, Age and growth of Freshwater Drum and Gizzard Shad occupying two reservoir-river complexes with different groundwater contributions: North American Journal of Fisheries Management, v. 39, no. 6, p. 1132-1142, https://doi.org/10.1002/nafm.10342.","productDescription":"11 p.","startPage":"1132","endPage":"1142","ipdsId":"IP-107856","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":379272,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oklahoma","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -97.03125,\n              33.7243396617476\n            ],\n            [\n              -94.39453125,\n              33.7243396617476\n            ],\n            [\n              -94.39453125,\n              34.84987503195418\n            ],\n            [\n              -97.03125,\n              34.84987503195418\n            ],\n            [\n              -97.03125,\n              33.7243396617476\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"39","issue":"6","noUsgsAuthors":false,"publicationDate":"2019-10-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Dattilo, J","contributorId":242904,"corporation":false,"usgs":false,"family":"Dattilo","given":"J","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":801079,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shoup, D. E.","contributorId":242905,"corporation":false,"usgs":false,"family":"Shoup","given":"D. E.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":801080,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brewer, Shannon K. 0000-0002-1537-3921 skbrewer@usgs.gov","orcid":"https://orcid.org/0000-0002-1537-3921","contributorId":2252,"corporation":false,"usgs":true,"family":"Brewer","given":"Shannon","email":"skbrewer@usgs.gov","middleInitial":"K.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":801081,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70206334,"text":"70206334 - 2019 - Eruption age and duration of the ~9 km3 Burney Mountain dacite dome complex, northern California","interactions":[],"lastModifiedDate":"2019-10-31T08:15:12","indexId":"70206334","displayToPublicDate":"2019-10-30T08:13:47","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":"Eruption age and duration of the ~9 km3 Burney Mountain dacite dome complex, northern California","docAbstract":"At ~9 km3, the six dacite domes of Burney Mountain (db1–db6) constitute the most voluminous Quaternary dome complex in the Cascades volcanic arc.  Whole-rock geochemistry, electron microprobe, and petrographic data indicate that the domes are magmatically related, which, when integrated with geomorphology and stratigraphy, indicate early (db1, db2, db3) and late (db4, db5, db6) erupted groups.  We present 40Ar/39Ar ages of 271.9±4.6 ka (db1), 280.8±8.2 and 281.7±6.8 ka (db2), and 290.2±6.0 ka (db3) along with a previous age of 280±12 ka (db1).  These ages scatter over 20 kyr, whereas remanent magnetic directions are similar between 53.3–59.0° inclination and 352.7–355.9° declination.  The latter dataset indicates that the dacite domes were emplaced over a geologically brief time interval; not thousands of years.  Crystal-size distribution patterns of plagioclase were used to calculate residence times, which we use to infer the duration over which the eruptions likely occurred.  Three slopes represent three populations of plagioclase crystals (fine-grained groundmass, coarse-grained groundmass, phenocrysts).  A commonly used growth rate for plagioclase in dacitic magmas (10-10 mm/s) yields 9–10 years of growth for the coarse-grained groundmass (early erupted domes of db1, db2, db3), whereas plagioclase in the fine-grained groundmass (late erupted domes of db4, db5, db6) grew over 4–5 years.  All plagioclase phenocrysts have apparent residence times of 26–36 years; however, they contain high An>70 resorbed cores with sieve textures, which have euhedral, lower An<65 overgrowth rims.  Similarities in chemistry between groundmass plagioclase and phenocryst overgrowth rims indicate that they grew concurrently, and we therefore propose that both have similar residence times.  Thus, the Burney Mountain dacite dome complex was emplaced during a single eruptive episode over the course of years to decades at 281.1±4.8 ka (weighted mean age).","language":"English","publisher":"Geological Society of America","doi":"10.1130/B35240.1","usgsCitation":"Downs, D.T., Clynne, M.A., Champion, D.E., and Muffler, L.P., 2019, Eruption age and duration of the ~9 km3 Burney Mountain dacite dome complex, northern California: Geological Society of America Bulletin, 15 p., https://doi.org/10.1130/B35240.1.","productDescription":"15 p.","ipdsId":"IP-104567","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":368793,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Northern California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.365234375,\n              42.08191667830631\n            ],\n            [\n              -124.8486328125,\n              40.78054143186033\n            ],\n            [\n              -123.22265625000001,\n              38.03078569382294\n            ],\n            [\n              -119.02587890624999,\n              38.34165619279595\n            ],\n            [\n              -119.88281249999999,\n              39.198205348894795\n            ],\n            [\n              -120.03662109374999,\n              42.114523952464246\n            ],\n            [\n              -124.365234375,\n              42.08191667830631\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-10-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Downs, Drew T. 0000-0002-9056-1404 ddowns@usgs.gov","orcid":"https://orcid.org/0000-0002-9056-1404","contributorId":173516,"corporation":false,"usgs":true,"family":"Downs","given":"Drew","email":"ddowns@usgs.gov","middleInitial":"T.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":774185,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clynne, Michael A. 0000-0002-4220-2968 mclynne@usgs.gov","orcid":"https://orcid.org/0000-0002-4220-2968","contributorId":2032,"corporation":false,"usgs":true,"family":"Clynne","given":"Michael","email":"mclynne@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":774186,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Champion, Duane E. 0000-0001-7854-9034 dchamp@usgs.gov","orcid":"https://orcid.org/0000-0001-7854-9034","contributorId":2912,"corporation":false,"usgs":true,"family":"Champion","given":"Duane","email":"dchamp@usgs.gov","middleInitial":"E.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":774187,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Muffler, L.J. Patrick 0000-0001-6638-7218 pmuffler@usgs.gov","orcid":"https://orcid.org/0000-0001-6638-7218","contributorId":3322,"corporation":false,"usgs":true,"family":"Muffler","given":"L.J.","email":"pmuffler@usgs.gov","middleInitial":"Patrick","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":774188,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70209038,"text":"70209038 - 2019 - Evolutionary dynamics of Ceratonova species (Cnidaria: Myxozoa) reveal different host adaptation strategies","interactions":[],"lastModifiedDate":"2020-03-12T07:13:59","indexId":"70209038","displayToPublicDate":"2019-10-30T07:11:29","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1988,"text":"Infection, Genetics and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Evolutionary dynamics of Ceratonova species (Cnidaria: Myxozoa) reveal different host adaptation strategies","docAbstract":"The myxozoan parasite Ceratonova shasta is an important pathogen that infects multiple species of Pacific salmonids. Ongoing genetic surveillance has revealed stable host-parasite relationships throughout the parasite's endemic range. We applied Bayesian phylogenetics to test specific hypotheses about the evolution of these host-parasite relationships within the well-studied Klamath River watershed in Oregon and California, USA. The results provide statistical support that different genotypes of C. shasta are distinct lineages of one species, which is related to two other Ceratonova species in the same ecosystems; Ceratonova X in speckled dace and C. gasterostea in threespine stickleback. Furthermore, we found strong support for the hypothesis that C. shasta type 0 in native steelhead trout and type I in Chinook salmon each evolved with a specialist host adaptation strategy, while C. shasta type II in coho salmon resulted from a generalist host adaptation strategy. Inferred date and host species of the most recent common ancestor of extant Klamath basin types indicate that it occurred between 14,000 and 21,000 years ago, and most likely infected a native steelhead or rainbow trout host.","language":"English","publisher":"Elsevier","doi":"10.1016/j.meegid.2019.104081","usgsCitation":"Breyta, R.B., Atkinson, S., and Bartholomew, J.L., 2019, Evolutionary dynamics of Ceratonova species (Cnidaria: Myxozoa) reveal different host adaptation strategies: Infection, Genetics and Evolution, v. 78, 104081, 10 p., https://doi.org/10.1016/j.meegid.2019.104081.","productDescription":"104081, 10 p.","ipdsId":"IP-105147","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":373161,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Oregon ","otherGeospatial":"Klamath River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.31030273437499,\n              41.12074559016745\n            ],\n            [\n              -119.981689453125,\n              41.12074559016745\n            ],\n            [\n              -119.981689453125,\n              42.779275360241904\n            ],\n            [\n              -124.31030273437499,\n              42.779275360241904\n            ],\n            [\n              -124.31030273437499,\n              41.12074559016745\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"78","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Breyta, Rachel B. 0000-0002-9106-1014","orcid":"https://orcid.org/0000-0002-9106-1014","contributorId":213372,"corporation":false,"usgs":true,"family":"Breyta","given":"Rachel","email":"","middleInitial":"B.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":784607,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Atkinson, Stephen D","contributorId":223225,"corporation":false,"usgs":false,"family":"Atkinson","given":"Stephen D","affiliations":[{"id":40688,"text":"Department of Microbiology, Oregon State University, Corvallis, OR","active":true,"usgs":false}],"preferred":false,"id":784608,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bartholomew, Jerri L","contributorId":148960,"corporation":false,"usgs":false,"family":"Bartholomew","given":"Jerri","email":"","middleInitial":"L","affiliations":[{"id":17604,"text":"Dept. of Microbiology, OSU, 220 Nash Hall, 2820 Southwest Campus Way, Corvallis, OR  97331","active":true,"usgs":false}],"preferred":false,"id":784609,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70236851,"text":"70236851 - 2019 - Responses of the odd couple Carquinez, CA, suspension bridge during the Mw6.0 south Napa earthquake of August 24, 2014","interactions":[],"lastModifiedDate":"2022-09-20T11:41:41.118882","indexId":"70236851","displayToPublicDate":"2019-10-30T06:37:47","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":12597,"text":"Journal of Civil Structural Health Monitoring","active":true,"publicationSubtype":{"id":10}},"title":"Responses of the odd couple Carquinez, CA, suspension bridge during the Mw6.0 south Napa earthquake of August 24, 2014","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>The behavior of the suspension bridge in Carquinez, CA, during the M<sub>w</sub>6.0 24 August 2014 South Napa, CA earthquake is studied. Utilizing data from an extensive array of accelerometers that recorded the earthquake-excited motions, dynamic characteristics such as modes, corresponding frequencies and damping are identified and compared with previous studies that used ambient data of the deck only plus mathematical models. Data are systematically analyzed for vertical, transverse and torsional motions of the deck, and transverse, longitudinal and torsional motions of the towers. The transverse and vertical fundamental mode frequencies of the deck are the same (0.17&nbsp;Hz) due to coupling. Higher frequencies for transverse and vertical coupled modes are also the same at 0.46&nbsp;Hz and 0.98&nbsp;Hz. Tower translational frequencies are 0.39&nbsp;Hz in the transverse direction and 0.46&nbsp;Hz in the longitudinal direction, and are also coupled with those of the deck. Coupling of torsional modes of the tower and deck is also identified. A beating effect is observed, particularly for torsional motions.</p></div></div>","language":"English","publisher":"Springer","doi":"10.1007/s13349-019-00363-6","usgsCitation":"Celebi, M., Ghahari, S.F., and Taciroglu, E., 2019, Responses of the odd couple Carquinez, CA, suspension bridge during the Mw6.0 south Napa earthquake of August 24, 2014: Journal of Civil Structural Health Monitoring, v. 9, p. 719-739, https://doi.org/10.1007/s13349-019-00363-6.","productDescription":"11 p.","startPage":"719","endPage":"739","ipdsId":"IP-064666","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":407043,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Carquinez","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.4151611328125,\n              37.95286091815649\n            ],\n            [\n              -121.97021484374999,\n              37.95286091815649\n            ],\n            [\n              -121.97021484374999,\n              38.1777509666256\n            ],\n            [\n              -122.4151611328125,\n              38.1777509666256\n            ],\n            [\n              -122.4151611328125,\n              37.95286091815649\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"9","noUsgsAuthors":false,"publicationDate":"2019-10-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Celebi, Mehmet 0000-0002-4769-7357 celebi@usgs.gov","orcid":"https://orcid.org/0000-0002-4769-7357","contributorId":200969,"corporation":false,"usgs":true,"family":"Celebi","given":"Mehmet","email":"celebi@usgs.gov","affiliations":[],"preferred":true,"id":852358,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ghahari, S. Farid","contributorId":168417,"corporation":false,"usgs":false,"family":"Ghahari","given":"S.","email":"","middleInitial":"Farid","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":852379,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Taciroglu, Ertugrul","contributorId":176616,"corporation":false,"usgs":false,"family":"Taciroglu","given":"Ertugrul","email":"","affiliations":[],"preferred":false,"id":852380,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70205960,"text":"ofr20191118 - 2019 - Study design and methods for a wetland condition assessment on U.S. Fish and Wildlife Service fee-title lands in the Prairie Pothole Region of North Dakota, South Dakota, and Montana, USA","interactions":[],"lastModifiedDate":"2019-11-13T12:36:01","indexId":"ofr20191118","displayToPublicDate":"2019-10-29T16:01:53","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":"2019-1118","displayTitle":"Study Design and Methods for a Wetland Condition Assessment on U.S. Fish and Wildlife Service Fee-Title Lands in the Prairie Pothole Region of North Dakota, South Dakota, and Montana, USA","title":"Study design and methods for a wetland condition assessment on U.S. Fish and Wildlife Service fee-title lands in the Prairie Pothole Region of North Dakota, South Dakota, and Montana, USA","docAbstract":"<p>The U.S. Fish and Wildlife Service (FWS) manages wetlands and grasslands for wildlife habitat throughout the central North American Prairie Pothole Region (PPR). PPR wetlands, or potholes, are widely recognized as critical habitats for North American migratory waterfowl, waterbirds, and other wildlife. Potholes also provide other ecosystem services such as carbon sequestration, flood mitigation, filtration of pollutants, groundwater recharge, nutrient retention, and recreational opportunities. Wetland condition assessments have been completed nationally at coarse scales, but focused, regionwide assessments of the biological condition of potholes managed by the FWS are lacking. Therefore, FWS personnel require information pertaining to the biological condition and status of wetlands on FWS fee-title lands in the PPR to support management, restoration, and acquisition efforts. The biological condition of wetlands typically is reflected by their plant communities, and these communities correspond to past and current management and anthropogenic disturbances; thus, plant communities are a suitable surrogate of wetland condition.</p><p>This report describes the study design, selection of sample sites, and field survey methods for a wetland condition assessment for FWS fee-title lands in the PPR of North Dakota, South Dakota, and Montana. Various spatial databases were gathered (for example, National Wetlands Inventory) to identify and assess potholes on FWS fee-title lands and to facilitate the selection of study sites. A spatially balanced, site-selection process resulted in the inclusion of 125 temporarily and 125 seasonally ponded potholes distributed across the area of interest; the first 100 for each classification were considered the primary study sites, whereas the remaining 25 were considered an oversample to replace those deemed not appropriate&nbsp;for sampling by field crews. Study sites were within native prairie and reseeded grasslands on FWS National Wildlife Refuges and Waterfowl Production Areas and are distributed among the primary physiographic subregions of the PPR: the Glaciated Plains, Missouri Coteau, and Prairie Coteau; a small number of sites also are within the Lake Agassiz Plain and Turtle Mountains. Site assessment protocols, vegetation survey methods, data analyses, and condition categories (for example, poor, good, very good) for the wetland assessment are based on the North Dakota Rapid Assessment Method and an Index of Plant Community Integrity developed for potholes. Results of the wetland condition assessment will aid FWS staff in assessing past and current management and help to identify priority areas for future management and acquisition.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191118","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service and in collaboration with North Dakota State University","usgsCitation":"Tangen, B.A., Bansal, S., Fern, R.R., DeKeyser, E.S., Hargiss, C.L.M., Mushet, D.M., and Dixon, C.S., 2019, Study design and methods for a wetland condition assessment on U.S. Fish and Wildlife Service fee-title lands in the Prairie Pothole Region of North Dakota, South Dakota, and Montana, USA: U.S. Geological Survey Open-File Report 2019–1118, 24 p., https://doi.org/10.3133/ofr20191118.","productDescription":"Report: vi, 24 p.; Appendix Figure 3.1","numberOfPages":"34","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-111056","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":368679,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1118/ofr20191118.pdf","text":"Report","size":"973 kB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019–1118"},{"id":368680,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2019/1118/ofr20191118_appendix_fig_3.1.pdf","text":"Appendix figure 3.1","size":"176 kB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019–1118 Appendix Figure 1.3","linkHelpText":"– North Dakota Wetland Rapid Assessment Form"},{"id":368678,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1118/coverthb.jpg"}],"country":"United States","state":"North Dakota, South Dakota, Montana","otherGeospatial":"Prairie Pothole region","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -97.1630859375,\n              48.60385760823255\n            ],\n            [\n              -97.0751953125,\n              48.80686346108517\n            ],\n            [\n              -96.9873046875,\n              49.35375571830993\n            ],\n            [\n              -101.6015625,\n              49.35375571830993\n            ],\n            [\n              -106.5234375,\n              49.03786794532644\n            ],\n            [\n              -106.6552734375,\n              48.63290858589535\n            ],\n            [\n              -105.380859375,\n              47.69497434186282\n            ],\n            [\n              -105.29296874999999,\n              46.01222384063236\n            ],\n            [\n              -104.32617187499999,\n              43.03677585761058\n            ],\n            [\n              -102.48046875,\n              42.90816007196054\n            ],\n            [\n              -96.1083984375,\n              42.52069952914966\n            ],\n            [\n              -97.1630859375,\n              48.60385760823255\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a data-mce-href=\"https://www.usgs.gov/centers/npwrc\" href=\"https://www.usgs.gov/centers/npwrc\">Northern Prairie Wildlife Research Center</a> <br>U.S. Geological Survey<br>8711 37th Street Southeast <br>Jamestown, ND 58401</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Summary</li><li>References Cited</li><li>Appendix 1</li><li>References Cited</li><li>Appendix 2</li><li>Appendix 3</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2019-10-29","noUsgsAuthors":false,"publicationDate":"2019-10-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Tangen, Brian 0000-0001-5157-9882 btangen@usgs.gov","orcid":"https://orcid.org/0000-0001-5157-9882","contributorId":167277,"corporation":false,"usgs":true,"family":"Tangen","given":"Brian","email":"btangen@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":773056,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bansal, Sheel 0000-0003-1233-1707 sbansal@usgs.gov","orcid":"https://orcid.org/0000-0003-1233-1707","contributorId":167295,"corporation":false,"usgs":true,"family":"Bansal","given":"Sheel","email":"sbansal@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":773057,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fern, Rachel R. 0000-0003-2465-5418","orcid":"https://orcid.org/0000-0003-2465-5418","contributorId":219735,"corporation":false,"usgs":true,"family":"Fern","given":"Rachel","email":"","middleInitial":"R.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":773058,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DeKeyser, Edward S.","contributorId":138601,"corporation":false,"usgs":false,"family":"DeKeyser","given":"Edward S.","affiliations":[{"id":12459,"text":"NDSU","active":true,"usgs":false}],"preferred":false,"id":773061,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hargiss, Christina L. M. 0000-0003-3918-468X","orcid":"https://orcid.org/0000-0003-3918-468X","contributorId":219736,"corporation":false,"usgs":false,"family":"Hargiss","given":"Christina","email":"","middleInitial":"L. M.","affiliations":[{"id":12471,"text":"North Dakota State University","active":true,"usgs":false}],"preferred":false,"id":773062,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mushet, David M. 0000-0002-5910-2744 dmushet@usgs.gov","orcid":"https://orcid.org/0000-0002-5910-2744","contributorId":1299,"corporation":false,"usgs":true,"family":"Mushet","given":"David","email":"dmushet@usgs.gov","middleInitial":"M.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":773059,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dixon, Cami S.","contributorId":208032,"corporation":false,"usgs":false,"family":"Dixon","given":"Cami","email":"","middleInitial":"S.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":773060,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
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