{"pageNumber":"668","pageRowStart":"16675","pageSize":"25","recordCount":165308,"records":[{"id":70205398,"text":"sir20195101 - 2019 - Groundwater and surface-water resources near Red Fleet Reservoir, Uintah County, Utah","interactions":[],"lastModifiedDate":"2019-10-23T07:36:10","indexId":"sir20195101","displayToPublicDate":"2019-10-22T15:24:54","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":"2019-5101","displayTitle":"Groundwater and Surface-Water Resources near Red Fleet Reservoir, Uintah County, Utah","title":"Groundwater and surface-water resources near Red Fleet Reservoir, Uintah County, Utah","docAbstract":"Red Fleet Reservoir in Uintah County, Utah, is an approximately 26,000 acre-foot (acre-ft) on-channel reservoir in the Big Brush Creek drainage on the south slopes of the Uinta Mountains. It is operated primarily for irrigation needs while providing a supplemental drinking-water supply to the Vernal, Utah area. Red Fleet Reservoir, which was operated by the Bureau of Reclamation and the Uintah Water Conservancy District through 2015, began storing water in May 1980. The reservoir is on southward dipping Mesozoic lithologies ranging from Jurassic to Cretaceous in age. The Nugget  and Frontier Sandstone aquifers are the targeted units in this investigation, which is to characterize groundwater conditions that exist in each sandstone aquifer and how they interact with Red Fleet Reservoir. Groundwater levels were measured in six wells and one spring in the Nugget Sandstone and the Frontier Sandstone aquifers. Water levels in the Nugget Sandstone aquifer were 35–70 feet above the maximum stage of Red Fleet Reservoir on the west and east banks. Water levels in the Frontier Sandstone aquifer were 15–30 feet below the observed stage of Red Fleet Reservoir on the west bank during the study period.\nA water budget was calculated for Red Fleet Reservoir between May 1980 and December 2015. During this period, 1,050,000 acre-ft of water from Big Brush Creek discharged into the reservoir, while 993,000 acre-ft of water was released downstream of Red Fleet Dam. Total evaporation from May 1980 through December 2015 was about 52,000 acre-ft, while total precipitation over the same period was about 12,000 acre-ft. From May 1980 through December 2015, the total pumped volume of water from the Tyzack Pump Station, at the base of Red Fleet Dam, was about 42,000 acre-ft. Total groundwater discharge to Red Fleet Reservoir from 1980 through 2015 was about 40,000 acre-ft.\nWater was sampled from four wells and from the inflow arm of Red Fleet Reservoir, and analyzed for major-ion chemistry, select trace metals, nutrients, and environmental tracers. Water sampled from the Nugget Sandstone aquifer yielded good-quality water with dissolved-solids concentrations of less than 200 milligram per liter, and no trace elements above the Environmental Protection Agency drinking-water standards. Water sampled from the Frontier Sandstone aquifer yielded poor-quality water with dissolved-solids concentrations of about 2,150 milligrams per liter with trace elements approaching drinking-water standards for arsenic. Dissolved noble gases used to identify recharge elevations and temperatures for groundwater indicate that water in the Nugget Sandstone aquifer likely recharged at a high altitude and low temperature, and not locally because of interaction with Red Fleet Reservoir. The Frontier Sandstone aquifer is likely recharged at low elevation and at temperatures similar to those observed at Red Fleet Reservoir.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195101","collaboration":"Prepared in cooperation with the Uintah Water Conservancy District and the Bureau of Reclamation","usgsCitation":"Marston, T.M., Solder, J.E., and Jones, K.K., 2019, Groundwater and surface-water resources near Red Fleet Reservoir, Uintah County, Utah: U.S. Geological Survey Scientific Investigations Report 2019–5101, 40 p., https://doi.org/10.3133/sir20195101.","productDescription":"vi, 40 p.","numberOfPages":"40","onlineOnly":"Y","ipdsId":"IP-103710","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":437296,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9H7FIEO","text":"USGS data release","linkHelpText":"Lumped parameter models of groundwater age and noble gas models of recharge conditions in support of Groundwater and Surface-Water Resources near Red Fleet Reservoir, Uintah County, Utah"},{"id":368399,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5101/coverthb.jpg"},{"id":368400,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5101/sir20195101.pdf","text":"Report","size":"5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019-5101"}],"country":"United States","state":"Utah","county":"Uintah 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501,40.6545]]]},\"properties\":{\"name\":\"Uintah\",\"state\":\"UT\"}}]}","contact":"<p><a href=\"https://www.usgs.gov/centers/ut-water/connect\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/ut-water/connect\">Director</a>,&nbsp;<br><a href=\"https://ut.water.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://ut.water.usgs.gov\">Utah 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>2329 West Orton Circle<br>Salt Lake City, Utah 84119-2047<br>801-908-5000</p>","tableOfContents":"<p></p><ul><li>Abstract</li><li>Introduction</li><li>Assessment of Groundwater Interaction with Red Fleet Reservoir</li><li>Evaluation of Aquifer Properties in the Nugget Sandstone Aquifer near Red Fleet Reservoir</li><li>Evaluation of Groundwater Geochemical Characteristics in the Nugget and Discussion</li><li>Summary</li><li>References Cited</li></ul><p></p>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2019-10-22","noUsgsAuthors":false,"publicationDate":"2019-10-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Marston, Thomas M. 0000-0003-1053-4172 tmarston@usgs.gov","orcid":"https://orcid.org/0000-0003-1053-4172","contributorId":3272,"corporation":false,"usgs":true,"family":"Marston","given":"Thomas","email":"tmarston@usgs.gov","middleInitial":"M.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":771046,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Solder, John E. 0000-0002-0660-3326 jsolder@usgs.gov","orcid":"https://orcid.org/0000-0002-0660-3326","contributorId":171916,"corporation":false,"usgs":true,"family":"Solder","given":"John","email":"jsolder@usgs.gov","middleInitial":"E.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":773391,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Katherine K.","contributorId":219862,"corporation":false,"usgs":true,"family":"Jones","given":"Katherine","email":"","middleInitial":"K.","affiliations":[],"preferred":true,"id":773392,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70202488,"text":"tm2A15 - 2019 - Track tube construction and field protocol for small mammal surveys with emphasis on the endangered Pacific pocket mouse (Perognathus longimembris pacificus)","interactions":[],"lastModifiedDate":"2019-10-23T07:33:58","indexId":"tm2A15","displayToPublicDate":"2019-10-22T15:01:31","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2A15","displayTitle":"Track Tube Construction and Field Protocol for Small Mammal Surveys with Emphasis on the Endangered Pacific Pocket Mouse (<em>Perognathus longimembris pacificus</em>)","title":"Track tube construction and field protocol for small mammal surveys with emphasis on the endangered Pacific pocket mouse (Perognathus longimembris pacificus)","docAbstract":"<p>Track tubes are used to identify small animals by their tracks. Animals that are small enough to fit into the tubes walk over ink pads and onto cardstock paper to obtain bait within the tube, leaving their footprints. The tracking tubes described in this document are designed to be set on the ground with free access and exit at either end with additional design components for stability, durability, and efficiency. They are also designed to prevent dirt from getting onto the ink pads and to decrease the ability of birds and other mammals to pull out track cards or bait.</p><p>We describe detailed methods for constructing, setting and checking track tubes, as well as measuring and identifying small mammal prints for a small mammal study. The protocols described are for monitoring the Pacific pocket mouse (PPM); however, this method can be applied to many small mammal species that have uniquely identifiable tracks in relation to co-occurring species.</p><p>We have deployed track tubes for over 5 years on Marine Corps Base Camp Pendleton for PPM discovery efforts and to monitor the three extant PPM populations on Base. We have shown that nightly detection probability is similar to that of live-trapping, but the track tubes can be checked weekly or bi-monthly. We use this passive and economical method to assess timing of annual emergence and torpor, seasonal activity, and localized colonization and extinction events. Using this method, we can model occupancy dynamics in relation to habitat and disturbance covariates that directly inform management and support a monitoring and management feedback loop for this species.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm2A15","collaboration":"Prepared in cooperation with the U.S. Marine Corps, Marine Corps Base Camp Pendleton","usgsCitation":"Brehme, C.S., Matsuda, T.A., Adsit-Morris, D.T., Clark, D.R., Burlaza, M.A.T., Sebes, J.B., and Fisher, R.N., 2019, Track tube construction and field protocol for small mammal surveys with emphasis on the endangered Pacific pocket mouse (Perognathus longimembris pacificus): U.S. Geological Survey Techniques and Methods, book 2, chap. A15, 18 p., plus appendix, https://doi.org/10.3133/tm2A15.","productDescription":"v, 30 p.","onlineOnly":"Y","ipdsId":"IP-095381","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":368471,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/tm/02/a15/coverthb.jpg"},{"id":368472,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/02/a15/tm2a15.pdf","text":"Report","size":"3.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"TM 2A15"}],"country":"United States","state":"California","otherGeospatial":"Camp Pendleton","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.6580810546875,\n              33.19962596829635\n            ],\n            [\n              -117.12799072265625,\n              33.19962596829635\n            ],\n            [\n              -117.12799072265625,\n              33.43373345341701\n            ],\n            [\n              -117.6580810546875,\n              33.43373345341701\n            ],\n            [\n              -117.6580810546875,\n              33.19962596829635\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.werc.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.werc.usgs.gov/\">Western Ecological Research Center</a><br>U.S. Geological Survey<br>3020 State University Drive<br>Modoc Hall, Room 4004<br>Sacramento, California 95819</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Track Tube Components</li><li>Track Tube Construction</li><li>Track Cards and Track Card Base Construction</li><li>Field Protocol</li><li>Track Interpretation</li><li>Acknowledgments</li><li>References Cited</li><li>Appendix 1</li></ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2019-10-22","noUsgsAuthors":false,"publicationDate":"2019-10-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Brehme, Cheryl S. 0000-0001-8904-3354 cbrehme@usgs.gov","orcid":"https://orcid.org/0000-0001-8904-3354","contributorId":3419,"corporation":false,"usgs":true,"family":"Brehme","given":"Cheryl","email":"cbrehme@usgs.gov","middleInitial":"S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":759458,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Matsuda, Tritia A. 0000-0001-9271-7671 tmatsuda@usgs.gov","orcid":"https://orcid.org/0000-0001-9271-7671","contributorId":3733,"corporation":false,"usgs":true,"family":"Matsuda","given":"Tritia","email":"tmatsuda@usgs.gov","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":759459,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Adsit-Morris, Devin T. 0000-0002-8764-6749 dadsit-morris@usgs.gov","orcid":"https://orcid.org/0000-0002-8764-6749","contributorId":219905,"corporation":false,"usgs":true,"family":"Adsit-Morris","given":"Devin","email":"dadsit-morris@usgs.gov","middleInitial":"T.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":759461,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Clark, Denise R. drclark@usgs.gov","contributorId":4242,"corporation":false,"usgs":true,"family":"Clark","given":"Denise","email":"drclark@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":true,"id":759460,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sebes, Jeremy B. jsebes@usgs.gov","contributorId":168677,"corporation":false,"usgs":true,"family":"Sebes","given":"Jeremy B.","email":"jsebes@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":759462,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Burlaza, Melanie Anne T.","contributorId":219906,"corporation":false,"usgs":false,"family":"Burlaza","given":"Melanie","email":"","middleInitial":"Anne T.","affiliations":[{"id":18890,"text":"formerly USGS Western Ecological Research Center, Santa Cruz Field Station","active":true,"usgs":false}],"preferred":false,"id":759463,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fisher, Robert N. 0000-0002-2956-3240 rfisher@usgs.gov","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":1529,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert","email":"rfisher@usgs.gov","middleInitial":"N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":759457,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70206171,"text":"70206171 - 2019 - Caryospora-like coccidia infecting green turtles (Chelonia mydas): An emerging disease with evidence of interoceanic dissemination","interactions":[],"lastModifiedDate":"2019-11-18T10:51:39","indexId":"70206171","displayToPublicDate":"2019-10-22T13:46:42","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5720,"text":"Frontiers in Veterinary Science","onlineIssn":"2297-1769","active":true,"publicationSubtype":{"id":10}},"title":"Caryospora-like coccidia infecting green turtles (Chelonia mydas): An emerging disease with evidence of interoceanic dissemination","docAbstract":"Protozoa morphologically consistent with Caryospora sp. are one of the few pathogens associated with episodic mass mortality events involving free-ranging sea turtles. Parasitism of green turtles (Chelonia mydas) by these coccidia and associated mortality was first reported in maricultured turtles in the Caribbean during the 1970s. Years later, epizootics affecting wild green turtles in Australia occurred in 1991 and 2014. The first clinical cases of Caryospora-like infections reported elsewhere in free-ranging turtles were from the southeastern US in 2012. Following these initial individual cases in this region, we documented an epizootic and mass mortality of green turtles along the Atlantic coast of southern Florida from November 2014 through April 2015 and continued to detect additional, sporadic cases in the southeastern US in subsequent years. No cases of coccidial disease were recorded in the southeastern US prior to 2012 despite clinical evaluation and necropsy of stranded sea turtles in this region since the 1980s, suggesting that the frequency of clinical coccidiosis has increased here. Moreover, we also recorded the first stranding associated with infection by a Caryospora-like organism in Hawai'i in 2018. To further characterize the coccidia, we sequenced part of the 18S ribosomal and mitochondrial cytochrome oxidase I genes of coccidia collected from 62 green turtles found in the southeastern US and from one green turtle found in Hawai'i. We also sequenced the ribosomal internal transcribed spacer regions from selected cases and compared all results with those obtained from Caryospora-like coccidia collected from green turtles found in Australia. Eight distinct genotypes were represented in green turtles from the southeastern US. One genotype predominated and was identical to that of coccidia collected from the green turtle found in Hawai'i. We also found a coccidian genotype in green turtles from Florida and Australia with identical 18S and mitochondrial sequences, and only slight inter-regional differences in the internal transcribed spacer 2. We found no evidence of geographical structuring based on phylogenetic analysis. Low genetic variability among the coccidia found in green turtle populations with minimal natural connectivity suggests recent interoceanic dissemination of these parasites, which could pose a risk to sea turtle populations.","language":"English","publisher":"Frontiers Media ","doi":"10.3389/fvets.2019.00372","usgsCitation":"Stacy, B.A., Chapman, P.A., Stockdale-Walden, H., Work, T.M., Dagenais, J., Foley, A.M., Wideroff, M., , W., Childress, A.L., Manire, C.A., Rodriguez, M., Zachariah, T.T., Staggs, L., Zirkelbach, B., Nahvi, N., Crowder, W., Boylan, S.M., Marquardt, S., Norton, T.M., and Pelton, C., 2019, Caryospora-like coccidia infecting green turtles (Chelonia mydas): An emerging disease with evidence of interoceanic dissemination: Frontiers in Veterinary Science, v. 6, p. 1-12, https://doi.org/10.3389/fvets.2019.00372.","productDescription":"372, 12p.","startPage":"1","endPage":"12","ipdsId":"IP-112802","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":459409,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fvets.2019.00372","text":"Publisher Index Page"},{"id":368559,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2019-10-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Stacy, Brian A.","contributorId":216682,"corporation":false,"usgs":false,"family":"Stacy","given":"Brian","email":"","middleInitial":"A.","affiliations":[{"id":39500,"text":"NOAA Fisheries, Office of Protected Resources, University of Florida, Gainesville, Florida, 32603, United States of America","active":true,"usgs":false}],"preferred":false,"id":773760,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chapman, Phoebe A.","contributorId":220001,"corporation":false,"usgs":false,"family":"Chapman","given":"Phoebe","email":"","middleInitial":"A.","affiliations":[{"id":40108,"text":"Veterinary-Marine Animal Research Teaching and Investigation Unit, School of Veterinary Science, University of Queensland, Gatton, Queensland, Australia","active":true,"usgs":false}],"preferred":false,"id":773761,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stockdale-Walden, Heather","contributorId":220002,"corporation":false,"usgs":false,"family":"Stockdale-Walden","given":"Heather","email":"","affiliations":[{"id":40109,"text":"3Department of Comparative, Diagnostic, and Population Medicine, College of Veterinary Medicine University of Florida, Gainesville, FL, USA","active":true,"usgs":false}],"preferred":false,"id":773762,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Work, Thierry M. 0000-0002-4426-9090 thierry_work@usgs.gov","orcid":"https://orcid.org/0000-0002-4426-9090","contributorId":1187,"corporation":false,"usgs":true,"family":"Work","given":"Thierry","email":"thierry_work@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":773759,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dagenais, Julie 0000-0001-5560-9946 jdagenais@usgs.gov","orcid":"https://orcid.org/0000-0001-5560-9946","contributorId":5955,"corporation":false,"usgs":true,"family":"Dagenais","given":"Julie","email":"jdagenais@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":773763,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Foley, Allen M.","contributorId":195874,"corporation":false,"usgs":false,"family":"Foley","given":"Allen","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":773764,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wideroff, Morgan","contributorId":220003,"corporation":false,"usgs":false,"family":"Wideroff","given":"Morgan","email":"","affiliations":[{"id":40110,"text":"Florida Fish and Wildlife Conservation Commission, Fish and Wildlife Research Institute, Jacksonville Field Laboratory, Jacksonville, USA","active":true,"usgs":false}],"preferred":false,"id":773765,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":" Wellehan","contributorId":220004,"corporation":false,"usgs":false,"given":"Wellehan","email":"","affiliations":[{"id":40109,"text":"3Department of Comparative, Diagnostic, and Population Medicine, College of Veterinary Medicine University of Florida, Gainesville, FL, USA","active":true,"usgs":false}],"preferred":false,"id":773766,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Childress, April L.","contributorId":220005,"corporation":false,"usgs":false,"family":"Childress","given":"April","email":"","middleInitial":"L.","affiliations":[{"id":40111,"text":"Department of Comparative, Diagnostic, and Population Medicine, College of Veterinary Medicine University of Florida, Gainesville, FL, USA","active":true,"usgs":false}],"preferred":false,"id":773767,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Manire, Charles A.","contributorId":20572,"corporation":false,"usgs":false,"family":"Manire","given":"Charles","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":775467,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Rodriguez, Mya","contributorId":220006,"corporation":false,"usgs":false,"family":"Rodriguez","given":"Mya","email":"","affiliations":[{"id":40112,"text":"Miami Seaquarium, Miami, FL, USA","active":true,"usgs":false}],"preferred":false,"id":773768,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Zachariah, Trevor T.","contributorId":220007,"corporation":false,"usgs":false,"family":"Zachariah","given":"Trevor","email":"","middleInitial":"T.","affiliations":[{"id":40113,"text":"Sea Turtle Healing Center, Brevard Zoo, Melbourne, FL, USA","active":true,"usgs":false}],"preferred":false,"id":773769,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Staggs, Lydia","contributorId":220008,"corporation":false,"usgs":false,"family":"Staggs","given":"Lydia","email":"","affiliations":[{"id":40114,"text":"Veterinary Services, Zoological Operations, SeaWorld Orlando, Orlando, FL,USA","active":true,"usgs":false}],"preferred":false,"id":773770,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Zirkelbach, Bette","contributorId":220009,"corporation":false,"usgs":false,"family":"Zirkelbach","given":"Bette","email":"","affiliations":[{"id":40115,"text":"The Turtle Hospital, Marathon, FL, USA","active":true,"usgs":false}],"preferred":false,"id":773771,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Nahvi, Nina","contributorId":220010,"corporation":false,"usgs":false,"family":"Nahvi","given":"Nina","email":"","affiliations":[{"id":40116,"text":"11Sea Turtle, Inc., South Padre Island, TX, USA","active":true,"usgs":false}],"preferred":false,"id":773772,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Crowder, Whitney","contributorId":220011,"corporation":false,"usgs":false,"family":"Crowder","given":"Whitney","email":"","affiliations":[{"id":40117,"text":"Gumbo Limbo Nature Center, Sea Turtle Rehabilitation Facility, Boca Raton, FL, USA","active":true,"usgs":false}],"preferred":false,"id":773773,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Boylan, Shane M.","contributorId":220012,"corporation":false,"usgs":false,"family":"Boylan","given":"Shane","email":"","middleInitial":"M.","affiliations":[{"id":40118,"text":"Clearwater Marine Aquarium, Clearwater, FL, USA","active":true,"usgs":false}],"preferred":false,"id":773774,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Marquardt, Shelly","contributorId":220013,"corporation":false,"usgs":false,"family":"Marquardt","given":"Shelly","email":"","affiliations":[{"id":40118,"text":"Clearwater Marine Aquarium, Clearwater, FL, USA","active":true,"usgs":false}],"preferred":false,"id":773775,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Pelton, Craig","contributorId":220014,"corporation":false,"usgs":false,"family":"Pelton","given":"Craig","email":"","affiliations":[{"id":40119,"text":"Volusia Marine Science Center, Ponce Inlet, FL, USA","active":true,"usgs":false}],"preferred":false,"id":773776,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Norton, Terry M.","contributorId":195875,"corporation":false,"usgs":false,"family":"Norton","given":"Terry","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":773777,"contributorType":{"id":1,"text":"Authors"},"rank":20}]}}
,{"id":70206286,"text":"70206286 - 2019 - Fire disturbance influences endangered Cape Sable Seaside Sparrow (Ammopiza maritima mirabilis) relative bird count","interactions":[],"lastModifiedDate":"2022-08-10T13:22:48.994392","indexId":"70206286","displayToPublicDate":"2019-10-22T13:20:30","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5803,"text":"Conservation Science and Practice","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Fire disturbance influences endangered Cape Sable Seaside Sparrow (<i>Ammopiza maritima mirabilis</i>) relative bird count","title":"Fire disturbance influences endangered Cape Sable Seaside Sparrow (Ammopiza maritima mirabilis) relative bird count","docAbstract":"<p><span>Periodicity of fire disturbance is a known driver of ecosystem function and is reported as important in both promoting and maintaining viable breeding habitat for the endangered Cape Sable Seaside Sparrow (</span><i>Ammospiza maritima mirabilis</i><span>; CSSS). In south Florida, the CSSS serves as a fine-scale indicator of the marl and mixed-marl prairie communities of the Florida Everglades. The CSSS distribution is affected by numerous well-documented physical drivers, including water depth and fire regime. Here, we fit zero-inflated negative binomial generalized linear mixed models and used model selection to determine the relationship between CSSS bird count observations from 1992 to 2014 and the spatially-specific fire return interval on the landscape. CSSS bird count was highest at a 5–8-year fire return interval and increased linearly with the percent of cell burned (400 × 400 m cells). The results of this study can inform management plans designed to maintain existing, and promote new, marl prairie habitat for conservation of the CSSS.</span></p>","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/csp2.130","usgsCitation":"Benscoter, A., Beerens, J., Pearlstine, L.G., and Romanach, S., 2019, Fire disturbance influences endangered Cape Sable Seaside Sparrow (Ammopiza maritima mirabilis) relative bird count: Conservation Science and Practice, v. 1, no. 12, e130, 7 p., https://doi.org/10.1111/csp2.130.","productDescription":"e130, 7 p.","ipdsId":"IP-108301","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":459411,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/csp2.130","text":"Publisher Index Page"},{"id":368712,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.6943359375,\n              25.105497373014686\n            ],\n            [\n              -80.37597656249999,\n              25.105497373014686\n            ],\n            [\n              -80.37597656249999,\n              26.254009699865737\n            ],\n            [\n              -81.6943359375,\n              26.254009699865737\n            ],\n            [\n              -81.6943359375,\n              25.105497373014686\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"1","issue":"12","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2019-10-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Benscoter, Allison 0000-0003-4205-3808 abenscoter@usgs.gov","orcid":"https://orcid.org/0000-0003-4205-3808","contributorId":178750,"corporation":false,"usgs":true,"family":"Benscoter","given":"Allison","email":"abenscoter@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":774079,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beerens, James 0000-0001-8143-916X","orcid":"https://orcid.org/0000-0001-8143-916X","contributorId":220092,"corporation":false,"usgs":true,"family":"Beerens","given":"James","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":774080,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pearlstine, Leonard G.","contributorId":34751,"corporation":false,"usgs":false,"family":"Pearlstine","given":"Leonard","email":"","middleInitial":"G.","affiliations":[{"id":12462,"text":"U.S. Department of the Interior, National Park Service","active":true,"usgs":false}],"preferred":false,"id":774081,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Romanach, Stephanie 0000-0003-0271-7825","orcid":"https://orcid.org/0000-0003-0271-7825","contributorId":220093,"corporation":false,"usgs":true,"family":"Romanach","given":"Stephanie","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":774082,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70205028,"text":"pp1854 - 2019 - Groundwater availability in the Ozark Plateaus aquifer system","interactions":[],"lastModifiedDate":"2019-10-23T07:17:38","indexId":"pp1854","displayToPublicDate":"2019-10-22T12:31:42","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1854","displayTitle":"Groundwater Availability in the Ozark Plateaus Aquifer System","title":"Groundwater availability in the Ozark Plateaus aquifer system","docAbstract":"<h1>Executive Summary</h1><p>The study described in this report, initiated by the U.S. Geological Survey in 2014, was designed to evaluate fresh groundwater resources within the Ozark Plateaus, central United States, as an area within a broader national assessment of groundwater availability. The goals of the Ozark study were to evaluate historical effects of human activities on water levels and groundwater availability, quantify groundwater resources now and under probable future pumping and climate conditions, and evaluate existing monitoring networks for their value in making better predictions of future groundwater resources. Previous studies include simulation of local-scale groundwater flow under varying temporal scales, or simulation of the regional system under steady-state conditions. While these studies are useful, particularly for the problem for which they were designed, there is a need to look at the larger regional system under transient conditions to fully evaluate the water resource over time. This study focused on multiple spatial and temporal scales to examine changes in groundwater pumping, storage, and water-level declines. The regional scale provides a broad view of the sources and demands on the system with time.</p><p>The study area covers approximately 68,000 square miles in the central United States in parts of Missouri, Arkansas, Kansas, and Oklahoma and encompasses the Ozark Plateaus Physiographic Province (Ozark Plateaus), including the Salem Plateau, Springfield Plateau, and Boston Mountains. Groundwater is withdrawn from the Ozark Plateaus aquifer system (Ozark system) for public supply and for domestic, agriculture (including irrigation and aquaculture), livestock, and non-agricultural use (including industrial, thermoelectric power generation, mining, and commercial). The Ozark system provides an important drinking-water supply for people living in the Ozark Plateaus because public supply and domestic use combined constitute the largest groundwater use. Precipitation is the ultimate source of freshwater to the Ozark system; most rainfall occurs during April, May, and June, and precipitation increases generally from north to south across the study area.</p><p>Groundwater use currently accounts for only 10 percent of the total water use in the areas overlying the Ozark system, but provides a critical drinking-water resource because public supply and domestic groundwater withdrawals are largely from groundwater resources. The 380 million gallons per day of groundwater withdrawn from the Ozark system in 2010 accounts for approximately 2 percent of recharge. Although groundwater use represents a small component of the hydrologic budget, because of low storage in aquifer units, cones of depression with steep water-level gradients can develop quickly around pumping centers.</p><p>The amount of water entering and leaving the aquifer system from 1900 to about 1965 was relatively constant at a rate of about 13 billion gallons per day (Bgal/d). Much of this inflow of water is discharged through streams in the system to balance the hydrologic budget. Changes in storage over time (from outflows to inflows) reflect the large variability in recharge: if recharge decreases, water levels will decrease, resulting in less groundwater discharge to streams and more water released from aquifer storage. Conversely, when recharge increases, water levels increase, more groundwater discharges to streams, and aquifer storage is replenished. Although pumping generally increased from 1900 to 2016, it does not appear to correlate with the change in storage over the same time period. Regionally, simulated change in groundwater storage corresponds with changes in recharge, more so than with increases in pumping.</p><p>Average recharge was 11.6 Bgal/d for the period 1900 to 2016. Recharge was generally above average from predevelopment to 1965, followed by a period of below-average recharge from 1965 to about 1980. Recharge remained consistently above average from 1980 to about 1988, after which there was a period of average or below-average recharge, reflected by a decline through the mid-2000s.</p><p>The implications and potential effects of increased pumping and long-term climate change on the Ozark Plateaus hydrologic system and groundwater availability are a concern for communities and resource managers in the area. Pumping varies from year to year, but is generally expected to moderately increase with population, industrial, and agricultural needs. Most climate models predict warmer minimum and maximum air temperatures by midcentury in the Ozark Plateaus area, especially from midspring through early fall. Three scenarios were developed to simulate possible future conditions from 2016 to 2060 and assess the potential effects on the hydrologic system and availability of water resources. For each scenario, changes in water levels and hydrologic budget components were evaluated from predevelopment (1900) to present (2016) and 45 years into the future (2060). The baseline scenario represents an extension of the average (1996 to 2016) seasonal pumping and recharge values. The pumping scenario is an extension of the average (1996 to 2016) seasonal recharge values with increases in pumping following the historical trend for the period 2016–2060 of up to 120 percent of the 1996 to 2016 average seasonal pumping values. The general circulation model (GCM) scenario is an extension of the average (1996 to 2016) seasonal pumping values and variable recharge based on seasonal averages of soil water storage from a water-balance model using temperature and precipitation from multiple GCMs.</p><p>The general patterns of water-level decline are similar for each scenario. The areas of water-level decline in southwest Missouri and northeast Oklahoma are only marginally different by 2060 from those of 2009. In one area south of Springfield, Mo., water-level declines are less in the baseline and GCM scenarios than in 2009. This may be the result of a transition from groundwater use to surface-water supplies for a larger percentage of the demand in the area.</p><p>For all three scenarios, forecasted pumping, recharge, and aquifer properties play an important role in determining the uncertainty of water-level forecasts at 94 real-time observation wells. Simulated aquifer properties in the productive middle and lower Ozark aquifers and the St. Francois confining unit of the Ozark system contribute most to predictive uncertainty in water levels at approximately 35 percent of the real-time observation wells. Out of the 94 real-time observation wells, 82 are developed in the lower Ozark aquifer.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1854","collaboration":"Water Availability and Use Science Program","usgsCitation":"Clark, B.R., Duncan, L.L., and Knierim, K.J., 2019, Groundwater availability in the Ozark Plateaus aquifer system: U.S. Geological Survey Professional Paper 1854, 82 p., https://doi.org/10.3133/pp1854.","productDescription":"Report: x, 82 p.; Data Release","numberOfPages":"95","onlineOnly":"Y","ipdsId":"IP-097847","costCenters":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":368455,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1854/pp1854.pdf","text":"Report","size":"18.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 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Uncertainty</li><li>Data-Worth Analysis—Use of Numerical Models to Inform Groundwater Networks</li><li>Challenges for Future Groundwater Availability Assessments—Lessons Learned</li><li>Acknowledgments</li><li>References Cited</li><li>Appendix 1</li><li>Appendix 2</li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2019-10-22","noUsgsAuthors":false,"publicationDate":"2019-10-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Clark, Brian R. 0000-0001-6611-3807 brclark@usgs.gov","orcid":"https://orcid.org/0000-0001-6611-3807","contributorId":1502,"corporation":false,"usgs":true,"family":"Clark","given":"Brian","email":"brclark@usgs.gov","middleInitial":"R.","affiliations":[{"id":38131,"text":"WMA - Office of Planning and Programming","active":true,"usgs":true}],"preferred":true,"id":769635,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Duncan, Leslie L. 0000-0002-5938-5721","orcid":"https://orcid.org/0000-0002-5938-5721","contributorId":204004,"corporation":false,"usgs":true,"family":"Duncan","given":"Leslie","email":"","middleInitial":"L.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":769636,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Knierim, Katherine J. 0000-0002-5361-4132 kknierim@usgs.gov","orcid":"https://orcid.org/0000-0002-5361-4132","contributorId":191788,"corporation":false,"usgs":true,"family":"Knierim","given":"Katherine","email":"kknierim@usgs.gov","middleInitial":"J.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":769637,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70228097,"text":"70228097 - 2019 - Exit here: Strategies for dealing with aging dams and reservoirs","interactions":[],"lastModifiedDate":"2022-02-15T16:35:20.618876","indexId":"70228097","displayToPublicDate":"2019-10-22T11:50:11","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":873,"text":"Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Exit here: Strategies for dealing with aging dams and reservoirs","docAbstract":"Aging infrastructure is prevalent throughout the world but water control management structures, specifically dams are of growing concern. Dams and their corresponding reservoirs have inherent, but separate, lifespans. The proportion of dams around the world that continue operation beyond their intended lifespans is growing at an alarming rate. Society will not only have to navigate the tradeoffs associated with the deterioration of services provided by reservoirs and dams, but also impending structural failures.  Society is nearing a critical pinch point where we will have to decide how to deal with dams and reservoirs at scales that range from a single system to multiple systems in large watersheds. No comprehensive strategy exists to inform both the range of actions that can be applied to such infrastructure and how such actions would influence biophysical, socioeconomic, and geopolitical tradeoffs. The development of proactive exit strategies is a critical first step in ensuring controlled transitions for aging dams and reservoirs. Herein, we present an overview of actions and considerations for aging dams and reservoirs in the USA followed by an initial framework for exit strategy development to launch further discussion on how society could deal with this aging infrastructure.","language":"English","publisher":"Birkhaeuser Science","doi":"10.1007/s00027-019-0679-3","usgsCitation":"Hansen, H.H., Forzono, E., Grams, A., Ohlman, L., Ruskcamp, C., Pegg, M., and Pope, K.L., 2019, Exit here: Strategies for dealing with aging dams and reservoirs: Aquatic Sciences, v. 82, 2, 16 p., https://doi.org/10.1007/s00027-019-0679-3.","productDescription":"2, 16 p.","ipdsId":"IP-097547","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":395457,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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,{"id":70200650,"text":"70200650 - 2019 - Applying the Watershed Approach to Urban Ecosystems in Baltimore","interactions":[],"lastModifiedDate":"2019-12-05T10:00:34","indexId":"70200650","displayToPublicDate":"2019-10-22T09:46:52","publicationYear":"2019","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"9","title":"Applying the Watershed Approach to Urban Ecosystems in Baltimore","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Science for the sustainable city : Empirical insights from the Baltimore School of Urban Ecology","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Yale University Press","isbn":"9780300238327","usgsCitation":"Groffman, P., Band, L., Belt, K., Bettez, N., Aditi Bhaskar, Doheny, E., Duncan, J., Kaushal, S., Emma Rosi-Marshall, and Claire Welty, 2019, Applying the Watershed Approach to Urban Ecosystems in Baltimore, chap. 9 <i>of</i> Science for the sustainable city : Empirical insights from the Baltimore School of Urban Ecology, p. 155-173.","productDescription":"19 p.","startPage":"155","endPage":"173","ipdsId":"IP-052607","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"links":[{"id":369978,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":369977,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://yalebooks.co.uk/display.asp?k=9780300238327"}],"publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Groffman, Peter","contributorId":176799,"corporation":false,"usgs":false,"family":"Groffman","given":"Peter","email":"","affiliations":[],"preferred":false,"id":749956,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Band, Laurence","contributorId":210112,"corporation":false,"usgs":false,"family":"Band","given":"Laurence","email":"","affiliations":[{"id":16637,"text":"University of North Carolina, Chapel Hill","active":true,"usgs":false}],"preferred":false,"id":749957,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Belt, Kenneth","contributorId":210113,"corporation":false,"usgs":false,"family":"Belt","given":"Kenneth","email":"","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":749958,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bettez, Neil","contributorId":210114,"corporation":false,"usgs":false,"family":"Bettez","given":"Neil","email":"","affiliations":[{"id":36248,"text":"Cary Institute of Ecosystem Studies","active":true,"usgs":false}],"preferred":false,"id":749959,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Aditi Bhaskar","contributorId":210115,"corporation":false,"usgs":false,"family":"Aditi Bhaskar","affiliations":[{"id":38069,"text":"University of Maryland, Baltimore County","active":true,"usgs":false}],"preferred":false,"id":749960,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Doheny, Edward 0000-0002-6043-3241","orcid":"https://orcid.org/0000-0002-6043-3241","contributorId":204984,"corporation":false,"usgs":true,"family":"Doheny","given":"Edward","email":"","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":749955,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Duncan, Jonathan","contributorId":210116,"corporation":false,"usgs":false,"family":"Duncan","given":"Jonathan","email":"","affiliations":[{"id":16637,"text":"University of North Carolina, Chapel Hill","active":true,"usgs":false}],"preferred":false,"id":749961,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kaushal, Sujay","contributorId":210117,"corporation":false,"usgs":false,"family":"Kaushal","given":"Sujay","email":"","affiliations":[{"id":33433,"text":"University of Maryland, College Park","active":true,"usgs":false}],"preferred":false,"id":749962,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Emma Rosi-Marshall","contributorId":196525,"corporation":false,"usgs":false,"family":"Emma Rosi-Marshall","affiliations":[],"preferred":false,"id":749963,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Claire Welty","contributorId":210118,"corporation":false,"usgs":false,"family":"Claire Welty","affiliations":[{"id":38069,"text":"University of Maryland, Baltimore County","active":true,"usgs":false}],"preferred":false,"id":749964,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
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,{"id":70206050,"text":"70206050 - 2019 - User guide to the FireCLIME Vulnerability Assessment (VA) Tool: A rapid and flexible system for assessing ecosystem vulnerability to climate-fire interactions","interactions":[],"lastModifiedDate":"2019-10-22T07:46:48","indexId":"70206050","displayToPublicDate":"2019-10-22T07:46:00","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"User guide to the FireCLIME Vulnerability Assessment (VA) Tool: A rapid and flexible system for assessing ecosystem vulnerability to climate-fire interactions","docAbstract":"Decisionmakers need better methods for identifying critical ecosystem vulnerabilities to changing climate and fire regimes. Climate-wildfire-vegetation interactions are complex and hinder classification and projection necessary for development of management strategies. One such vulnerability assessment (VA) is FireCLIME VA, which allows users to compare management strategies under various climate scenarios and gauge the potential effectiveness of those strategies for reducing undesirable impacts of climate on wildfire regimes and resulting  impacts of wildfire on natural ecosystems. Developed as part of the SW FireCLIME science-management partnership, FireCLIME is meant to be quick, flexible, and amendable to a range of data inputs (literature review, expert, and modeling or monitoring activities), allowing users to easily compare various fire-climate outcomes for one or more ecosystems of interest. Users can use literature, hypothetical scenarios, or quantitative data to implement the FireCLIME VA tool. This tool, unlike other vulnerability assessment, is best used iteratively to explore a range of possible scenarios and management strategies.","language":"English","publisher":"US Forest Service","collaboration":"USFS, Northern Arizona University, University of Central Arkansas, University of Arizona, The Forest Guild, National Park Service, Utah State University","usgsCitation":"Friggens, M., Loehman, R.A., Thode, A., Flatley, W.T., Evans, A., Bunn, W., Wilcox, C., Mueller, S., Yocum, L., and Falk, D.A., 2019, User guide to the FireCLIME Vulnerability Assessment (VA) Tool: A rapid and flexible system for assessing ecosystem vulnerability to climate-fire interactions, 42 p.","productDescription":"42 p.","ipdsId":"IP-104652","costCenters":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"links":[{"id":368477,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":368409,"type":{"id":15,"text":"Index Page"},"url":"https://www.fs.usda.gov/treesearch/pubs/59033"}],"publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Friggens, Megan","contributorId":219865,"corporation":false,"usgs":false,"family":"Friggens","given":"Megan","email":"","affiliations":[{"id":36400,"text":"US Forest Service","active":true,"usgs":false}],"preferred":false,"id":773401,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loehman, Rachel A. 0000-0001-7680-1865 rloehman@usgs.gov","orcid":"https://orcid.org/0000-0001-7680-1865","contributorId":187605,"corporation":false,"usgs":true,"family":"Loehman","given":"Rachel","email":"rloehman@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"preferred":false,"id":773400,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thode, Andi","contributorId":219866,"corporation":false,"usgs":false,"family":"Thode","given":"Andi","email":"","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":773402,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Flatley, William T.","contributorId":204190,"corporation":false,"usgs":false,"family":"Flatley","given":"William","email":"","middleInitial":"T.","affiliations":[{"id":16964,"text":"University of Central Arkansas","active":true,"usgs":false}],"preferred":false,"id":773403,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Evans, Alexander","contributorId":219867,"corporation":false,"usgs":false,"family":"Evans","given":"Alexander","email":"","affiliations":[{"id":40083,"text":"The Forest Guild","active":true,"usgs":false}],"preferred":false,"id":773404,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bunn, Windy","contributorId":168622,"corporation":false,"usgs":false,"family":"Bunn","given":"Windy","email":"","affiliations":[],"preferred":false,"id":773405,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wilcox, Craig","contributorId":219868,"corporation":false,"usgs":false,"family":"Wilcox","given":"Craig","email":"","affiliations":[{"id":36400,"text":"US Forest Service","active":true,"usgs":false}],"preferred":false,"id":773406,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mueller, Stephanie","contributorId":219869,"corporation":false,"usgs":false,"family":"Mueller","given":"Stephanie","email":"","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":773407,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Yocum, Larissa","contributorId":219870,"corporation":false,"usgs":false,"family":"Yocum","given":"Larissa","email":"","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":773408,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Falk, Donald A.","contributorId":197570,"corporation":false,"usgs":false,"family":"Falk","given":"Donald","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":773409,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70206188,"text":"70206188 - 2019 - 13C and 15N NMR identification of product compound classes from aqueous and solid phase photodegradation of 2,4,6-trinitrotoluene","interactions":[],"lastModifiedDate":"2019-10-25T07:16:09","indexId":"70206188","displayToPublicDate":"2019-10-22T07:15:40","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"13C and 15N NMR identification of product compound classes from aqueous and solid phase photodegradation of 2,4,6-trinitrotoluene","docAbstract":"Abstract \nPhotolysis is one of the main transformation pathways for 2,4,6-trinitrotoluene (TNT) released into the environment. Upon exposure to sunlight, TNT is known to undergo both oxidation and reduction reactions with release of nitrite, nitrate, and ammonium ions, followed by condensation reactions of the oxidation and reduction products. In this study, compound classes of transformation products from the aqueous and solid phase photodegradation of 2,4,6-trinitrotoluene (TNT) have been identified by liquid and solid state 13C and 15N NMR. Aqueous phase experiments were performed on saturated solutions of T15NT in deionized water, natural pond water (pH = 8.3, DOC = 3.0 mg/L), pH 8.0 buffer solution, and in the presence of Suwannee River Natural Organic Matter (SRNOM; pH = 3.7), using a Pyrex-filtered medium pressure mercury lamp. Natural sunlight irradiations were performed on TNT in the solid phase and dissolved in the pond water. In deionized water, carboxylic acid, aldehyde, aromatic amine, primary amide, azoxy, nitrosophenol, and azo compounds were formed. 15N NMR spectra exhibited major peaks centered at 128 to 138 ppm, which are in the range of phenylhydroxylamine and secondary amide nitrogens. The secondary amides are proposed to represent benzanilides, which would arise from photochemical rearrangement of nitrones formed from the condensation of benzaldehyde and phenylhydroxylamine derivatives of TNT. The same compound classes were formed from sunlight irradiation of TNT in the solid phase. Whereas carboxylic acids, aldehydes, aromatic amines, phenylhydroxylamines, and amides were also formed from irradiation of TNT in pond water and in pH 8 buffer solution, azoxy and azo compound formation was inhibited. Solid state 15N NMR spectra of photolysates from the lamp irradiation of unlabeled 2,6-dinitrotoluene in deionized water also demonstrated the formation of aromatic amine, phenylhydroxylamine/ 2° amide, azoxy, and azo nitrogens.","language":"English","publisher":"PLoS One","doi":"10.1371/journal.pone.0224112","usgsCitation":"Thorn, K., 2019, 13C and 15N NMR identification of product compound classes from aqueous and solid phase photodegradation of 2,4,6-trinitrotoluene: PLoS ONE, v. 14, no. 10, 61 p., https://doi.org/10.1371/journal.pone.0224112.","productDescription":"61 p.","ipdsId":"IP-106160","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":459421,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0224112","text":"Publisher Index Page"},{"id":368595,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"10","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-10-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Thorn, Kevin A. 0000-0003-2236-5193","orcid":"https://orcid.org/0000-0003-2236-5193","contributorId":220016,"corporation":false,"usgs":true,"family":"Thorn","given":"Kevin A.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":773794,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70206294,"text":"70206294 - 2019 - Optical properties of water for prediction of wastewater contamination in surface water","interactions":[],"lastModifiedDate":"2019-10-30T07:03:35","indexId":"70206294","displayToPublicDate":"2019-10-22T07:03:28","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Optical properties of water for prediction of wastewater contamination in surface water","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"Water Environment Federation","collaboration":"Great Lakes Protection Fund, Milwaukee Metropolitan Sewerage District, U.S. EPA","usgsCitation":"Corsi, S., and McLellan, S., 2019, Optical properties of water for prediction of wastewater contamination in surface water, 4 p.","productDescription":"4 p.","startPage":"8","endPage":"11","ipdsId":"IP-108709","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":368733,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":368721,"type":{"id":15,"text":"Index Page"},"url":"https://wef.org/link/d2e5a6a4c96345fc8ec091a02387b8cd.aspx"}],"publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Corsi, Steven","contributorId":220105,"corporation":false,"usgs":true,"family":"Corsi","given":"Steven","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":774104,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McLellan, Sandra","contributorId":220106,"corporation":false,"usgs":false,"family":"McLellan","given":"Sandra","email":"","affiliations":[{"id":7200,"text":"University of Wisconsin-Milwaukee","active":true,"usgs":false}],"preferred":false,"id":774105,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70207190,"text":"70207190 - 2019 - Improvements in seismic resolution and current limitations in the Global Seismographic Network","interactions":[],"lastModifiedDate":"2019-12-11T15:11:03","indexId":"70207190","displayToPublicDate":"2019-10-21T15:09:48","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1803,"text":"Geophysical Journal International","active":true,"publicationSubtype":{"id":10}},"title":"Improvements in seismic resolution and current limitations in the Global Seismographic Network","docAbstract":"Station noise levels play a fundamental limitation in our ability to detect seismic signals.  These noise levels are frequency-dependent and arise from a number of physically different drivers.  At periods greater than 100 s, station noise levels are often limited by the self-noise of the instrument as well as the sensitivity of the instrument to non-seismic noise sources.  Recently, station operators in the Global Seismographic Network (GSN) have deployed several Streckeisen STS-6A very broadband borehole seismometers.  These sensors provide a potential replacement for the no-longer-produced Streckeisen STS-1 seismometer and the GeoTech KS-54000 borehole seismometer.  Along with showing some of the initial observational improvements from installing modern very broadband seismometers at depth, we look at current limitations in the seismic resolution from Earth tide periods 100,000 s (0.01 mHz) to Nyquist at most GSN sites (0.02 s or 50 Hz).  Finally, we show the potential for improved observations of continuously excited horizontal Earth hum as well as the splitting of very long-period torsional modes as a result of installing instruments at depth.  Both of these observations make use of the low horizontal noise levels which are obtained by installing very broadband borehole seismometers at depth with noise levels similar to the Streckeisen STS-1.","language":"English","publisher":"Oxford University Press","doi":"10.1093/gji/ggz473","usgsCitation":"Ringler, A.T., Steim, J., Wilson, D.C., Widmer-Schnidrig, R., and Anthony, R.E., 2019, Improvements in seismic resolution and current limitations in the Global Seismographic Network: Geophysical Journal International, v. 220, no. 1, p. 508-521, https://doi.org/10.1093/gji/ggz473.","productDescription":"14 p.","startPage":"508","endPage":"521","ipdsId":"IP-112506","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":459424,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/gji/ggz473","text":"Publisher Index Page"},{"id":370185,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"220","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-10-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Ringler, Adam T. 0000-0002-9839-4188 aringler@usgs.gov","orcid":"https://orcid.org/0000-0002-9839-4188","contributorId":145576,"corporation":false,"usgs":true,"family":"Ringler","given":"Adam","email":"aringler@usgs.gov","middleInitial":"T.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":777210,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Steim, J.","contributorId":221152,"corporation":false,"usgs":false,"family":"Steim","given":"J.","affiliations":[{"id":40337,"text":"Quanterra Inc.","active":true,"usgs":false}],"preferred":false,"id":777211,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilson, David C. 0000-0003-2582-5159 dwilson@usgs.gov","orcid":"https://orcid.org/0000-0003-2582-5159","contributorId":145580,"corporation":false,"usgs":true,"family":"Wilson","given":"David","email":"dwilson@usgs.gov","middleInitial":"C.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":777212,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Widmer-Schnidrig, R.","contributorId":221153,"corporation":false,"usgs":false,"family":"Widmer-Schnidrig","given":"R.","email":"","affiliations":[{"id":40338,"text":"Black Forest Observatory, Institute of Geodesy, Stuttgart University, Wolfach, Germany","active":true,"usgs":false}],"preferred":false,"id":777213,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Anthony, Robert 0000-0001-7089-8846 reanthony@usgs.gov","orcid":"https://orcid.org/0000-0001-7089-8846","contributorId":202829,"corporation":false,"usgs":true,"family":"Anthony","given":"Robert","email":"reanthony@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":777214,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70206508,"text":"70206508 - 2019 - Challenges for monitoring the extent and land use/cover changes in monarch butterflies’ migratory habitat across the United States and Mexico","interactions":[],"lastModifiedDate":"2019-11-07T13:48:14","indexId":"70206508","displayToPublicDate":"2019-10-21T13:46:03","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2596,"text":"Land","active":true,"publicationSubtype":{"id":10}},"title":"Challenges for monitoring the extent and land use/cover changes in monarch butterflies’ migratory habitat across the United States and Mexico","docAbstract":"This paper presents a synopsis of the challenges and limitations presented by existing and emerging land use/ land cover (LULC) digital data sets when used to analyze the extent, habitat quality, and LULC changes of the monarch (Danaus plexippus) migratory habitat across the United States of America (US) and Mexico. First, the characteristics, state of the knowledge, and issues related to this habitat are presented. Then, the characteristics of the existing and emerging LULC digital data sets with global or cross-border coverage are listed, followed by the data sets that cover only the US or Mexico. Later, we discuss the challenges for determining the extent, habitat quality, and LULC changes in the monarchs’ migratory habitat when using these LULC data sets in conjunction with the current state of the knowledge of the monarchs’ ecology, behavior, and foraging/roosting plants used during their migration. We point to approaches to address some of these challenges, which can be categorized into: (a) LULC data set characteristics and availability; (b) availability of ancillary land management information; (c) ability to construct accurate forage suitability indices for their migration habitat; and (d) level of knowledge of the ecological and behavioral patterns of the monarchs during their journey.","language":"English","publisher":"MDPI","doi":"10.3390/land8100156","usgsCitation":"Moreno-Sanchez, R., Raines, J., Diffendorfer, J., Drummond, M.A., and Manko, J., 2019, Challenges for monitoring the extent and land use/cover changes in monarch butterflies’ migratory habitat across the United States and Mexico: Land, v. 10, no. 8, 156, 17 p., https://doi.org/10.3390/land8100156.","productDescription":"156, 17 p.","ipdsId":"IP-112731","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research 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,{"id":70206089,"text":"70206089 - 2019 - Assessing plant production responses to climate across water-limited regions using Google Earth Engine","interactions":[],"lastModifiedDate":"2019-10-22T06:32:15","indexId":"70206089","displayToPublicDate":"2019-10-21T13:41:25","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Assessing plant production responses to climate across water-limited regions using Google Earth Engine","docAbstract":"(Munson) Climate variability and change acting at broad scales can lead to divergent changes in plant production at local scales. Quantifying how production responds to variation in climate at local scales is essential to understand underlying ecological processes and inform land management decision-making, but has historically been limited in spatiotemporal scale based on the use of discrete ground-based measurements or coarse resolution satellite observations. With the advent of cloud-based computing through Google Earth Engine (GEE), production responses to climate can be evaluated across broad landscapes though time at a resolution useful for ecological and land management applications. Here, GEE was employed to synthesize a multi-platform Landsat time series (1988 – 2014) and evaluate relationships between the soil-adjusted vegetation index (a proxy for plant production) and climate across deserts and plant communities of the southwestern U.S. A “climate pivot point” approach was adopted in GEE to assess the trade-off between production responses to increasing wetness and resistances to drought at 30-m resolution. Consistent with a long-term seasonal climate gradient, production was most related to climate variance during the cool-season in the western deserts, during the warm-season in the eastern deserts, and equally related to both seasons within several desert areas. Communities dominated by grasses and deciduous trees displayed large production responses to an increase in wetness and low resistances to water deficit, while shrublands and evergreen woodlands had variable responses and high drought resistances. Production in plant communities that spanned multiple deserts responded differently to seasonal climate variability in each desert. Defining these plant production sensitivities to climate at 30-m resolution in GEE advances forecasts of how long-term climate trajectories may affect carbon storage, wildlife habitat, and the vulnerability of water-limited ecosystems.","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2019.111379","collaboration":"None.","usgsCitation":"Bunting, E., Munson, S.M., and Bradford, J., 2019, Assessing plant production responses to climate across water-limited regions using Google Earth Engine: Remote Sensing of Environment, v. 233, p. 1-15, https://doi.org/10.1016/j.rse.2019.111379.","productDescription":"1113792, 15p.","startPage":"1","endPage":"15","ipdsId":"IP-093613","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":459429,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rse.2019.111379","text":"Publisher Index 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PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bunting, Erin L.","contributorId":208169,"corporation":false,"usgs":false,"family":"Bunting","given":"Erin L.","affiliations":[{"id":37758,"text":"Michigan State University, East Lansing, MI USA","active":true,"usgs":false}],"preferred":false,"id":773528,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Munson, Seth M. 0000-0002-2736-6374 smunson@usgs.gov","orcid":"https://orcid.org/0000-0002-2736-6374","contributorId":1334,"corporation":false,"usgs":true,"family":"Munson","given":"Seth","email":"smunson@usgs.gov","middleInitial":"M.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":773527,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bradford, John B. 0000-0001-9257-6303","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":219257,"corporation":false,"usgs":true,"family":"Bradford","given":"John B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":773529,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70215485,"text":"70215485 - 2019 - Hysteretic response of solutes and turbidity at the event scale across forested tropical montane watersheds","interactions":[],"lastModifiedDate":"2020-10-22T12:20:47.44952","indexId":"70215485","displayToPublicDate":"2019-10-21T12:00:03","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5232,"text":"Frontiers in Earth Science","onlineIssn":"2296-6463","active":true,"publicationSubtype":{"id":10}},"title":"Hysteretic response of solutes and turbidity at the event scale across forested tropical montane watersheds","docAbstract":"Concentration-discharge relationships are a key tool for understanding the sourcing and transport of material from watersheds to fluvial networks. Storm events in particular provide insight into variability in the sources of solutes and sediment within watersheds, and the hydrologic pathways that connect hillslope to stream channel. Here we examine high-frequency sensor-based specific conductance and turbidity data from multiple storm events across two watersheds (Quebrada Sonadora and Rio Icacos) with different lithology in the Luquillo Mountains of Puerto Rico, a forested tropical ecosystem. Our analyses include Hurricane Maria, a category 5 hurricane. To analyze hysteresis, we used a recently developed set of metrics to describe and quantify storm events including the hysteresis index (HI), which describes the directionality of hysteresis loops, and the flushing index (FI), which can be used to infer whether the mobilization of material is source or transport limited. We also examine the role of antecedent discharge to predict hysteretic behavior during storms. Overall, specific conductance and turbidity showed contrasting responses to storms. The hysteretic behavior of specific conductance was very similar across sites, displaying clockwise hysteresis and a negative flushing index indicating proximal sources of solutes and consistent source limitation. In contrast, the directionality of turbidity hysteresis was significantly different between watersheds, although both had strong flushing behavior indicative of transport limitation. Overall, models that included antecedent discharge did not perform any better than models with peak discharge alone, suggesting that the magnitude and trajectory of an individual event was the strongest driver of material flux and hysteretic behavior. Hurricane Maria produced unique hysteresis metrics within both watersheds, indicating a distinctive response to this major hydrological event. The similarity in response of specific conductance to storms suggests that solute sources and pathways are similar in the two watersheds. The divergence in behavior for turbidity suggests that sources and pathways of particulate matter vary between the two watersheds. The use of high-frequency sensor data allows the quantification of storm events while index-based metrics of hysteresis allow for the direct comparison of complex storm events across a heterogeneous landscape and variable flow conditions.","language":"English","publisher":"Frontiers Research Foundation","doi":"10.3389/feart.2019.00126","usgsCitation":"Wymore, A.S., Leon, M.C., Shanley, J.B., and McDowell, W.C., 2019, Hysteretic response of solutes and turbidity at the event scale across forested tropical montane watersheds: Frontiers in Earth Science, v. 7, 126, 13 p., https://doi.org/10.3389/feart.2019.00126.","productDescription":"126, 13 p.","ipdsId":"IP-106557","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":459432,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/feart.2019.00126","text":"Publisher Index Page"},{"id":379599,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Puerto Rico","otherGeospatial":"Luquillo Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -67.47802734375,\n              17.518344187852218\n            ],\n            [\n              -65.54443359375,\n              17.518344187852218\n            ],\n            [\n              -65.54443359375,\n              18.999802829053262\n            ],\n            [\n              -67.47802734375,\n              18.999802829053262\n            ],\n            [\n              -67.47802734375,\n              17.518344187852218\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"7","noUsgsAuthors":false,"publicationDate":"2019-05-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Wymore, Adam S.","contributorId":243438,"corporation":false,"usgs":false,"family":"Wymore","given":"Adam","email":"","middleInitial":"S.","affiliations":[{"id":12667,"text":"University of New Hampshire","active":true,"usgs":false}],"preferred":false,"id":802290,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Leon, Miguel C.","contributorId":243439,"corporation":false,"usgs":false,"family":"Leon","given":"Miguel","email":"","middleInitial":"C.","affiliations":[{"id":16979,"text":"University of Pennsylvania","active":true,"usgs":false}],"preferred":false,"id":802291,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shanley, James B. 0000-0002-4234-3437 jshanley@usgs.gov","orcid":"https://orcid.org/0000-0002-4234-3437","contributorId":1953,"corporation":false,"usgs":true,"family":"Shanley","given":"James","email":"jshanley@usgs.gov","middleInitial":"B.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":802292,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McDowell, William C.","contributorId":243440,"corporation":false,"usgs":false,"family":"McDowell","given":"William","email":"","middleInitial":"C.","affiliations":[{"id":12667,"text":"University of New Hampshire","active":true,"usgs":false}],"preferred":false,"id":802293,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70215484,"text":"70215484 - 2019 - Identifying credible and diverse GCMs for regional climate change studies—case study: Northeastern United States","interactions":[],"lastModifiedDate":"2020-10-22T12:23:54.199735","indexId":"70215484","displayToPublicDate":"2019-10-21T11:16:05","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1252,"text":"Climatic Change","active":true,"publicationSubtype":{"id":10}},"title":"Identifying credible and diverse GCMs for regional climate change studies—case study: Northeastern United States","docAbstract":"Climate data obtained from global climate models (GCMs) form the basis of most studies of regional climate change and its impacts. Using the northeastern US as a test case, we develop a framework to systematically sub-select reliable models for use in climate change studies in the region. We retain 14 of 36 CMIP5 GCMs that (a) have satisfactory historical performance, and (b) provide diverse climate scenarios consistent with uncertainties in the multi-model ensemble (MME). The historical performance is evaluated for a wide variety of standard and process metrics including large-scale atmospheric circulation features that drive regional climate variability. Model performance is then used in conjunction with the assessment of diversity and redundancy in model projections to eliminate models without underrepresenting the uncertainty in the MME. Overall, the models show significant variations in their performance across metrics and seasons with none emerging as the best model. This combined with a lack of a strong relationship between model biases and future projections together highlight the importance of maintaining diversity in projections for risk assessment. The summer mean precipitation projections, in particular, are uncertain but also have considerable redundancy in their spatial patterns within the ensemble, which we use effectively to eliminate models. The better performing models in the retained set do suggest a potential to narrow the ranges in temperature and precipitation projections. But any further refinement should be based on a detailed analysis of the physical processes that drive regional climate variability and extremes to avoid providing overconfident projections.","language":"English","publisher":"Springer","doi":"10.1007/s10584-019-02411-y","usgsCitation":"Karmalkar, A.V., Thibeault, J.M., Bryan, A., and Seth, A., 2019, Identifying credible and diverse GCMs for regional climate change studies—case study: Northeastern United States: Climatic Change, v. 154, p. 367-386, https://doi.org/10.1007/s10584-019-02411-y.","productDescription":"20 p.","startPage":"367","endPage":"386","ipdsId":"IP-097827","costCenters":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":379598,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, Vermont, Delaware, Maryland, West  Virginia, Ohio, New Jersey, New York, and Pennsylvania.","otherGeospatial":"Northeastern United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {\n        \"stroke\": \"#555555\",\n        \"stroke-width\": 2,\n        \"stroke-opacity\": 1,\n        \"fill\": \"#555555\",\n        \"fill-opacity\": 0.5\n      },\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -82.6171875,\n              41.376808565702355\n            ],\n            [\n              -82.79296874999999,\n              38.47939467327645\n            ],\n            [\n              -81.474609375,\n              37.09023980307208\n            ],\n            [\n              -75.498046875,\n              37.3002752813443\n            ],\n            [\n              -73.65234375,\n              40.44694705960048\n            ],\n            [\n              -69.4775390625,\n              41.27780646738183\n            ],\n            [\n              -69.697265625,\n              42.22851735620852\n            ],\n            [\n              -70.751953125,\n              43.32517767999296\n            ],\n            [\n              -66.884765625,\n              44.715513732021336\n            ],\n            [\n              -67.8515625,\n              47.27922900257082\n            ],\n            [\n              -69.521484375,\n              47.69497434186282\n            ],\n            [\n              -70.83984375,\n              45.460130637921004\n            ],\n            [\n              -74.70703125,\n              45.213003555993964\n            ],\n            [\n              -76.201171875,\n              44.276671273775186\n            ],\n            [\n              -79.189453125,\n              43.51668853502906\n            ],\n            [\n              -79.189453125,\n              42.8115217450979\n            ],\n            [\n              -82.6171875,\n              41.376808565702355\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"154","noUsgsAuthors":false,"publicationDate":"2019-04-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Karmalkar, Ambarish V.","contributorId":243435,"corporation":false,"usgs":false,"family":"Karmalkar","given":"Ambarish","email":"","middleInitial":"V.","affiliations":[{"id":48712,"text":"Dept of Geosciences, UMass Amherst, Amherst MA","active":true,"usgs":false}],"preferred":false,"id":802286,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thibeault, Jeanne M.","contributorId":243436,"corporation":false,"usgs":false,"family":"Thibeault","given":"Jeanne","email":"","middleInitial":"M.","affiliations":[{"id":48713,"text":"Department of Geography, University of Connecticut, Storrs, Connecticut","active":true,"usgs":false}],"preferred":false,"id":802287,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bryan, Alexander 0000-0003-2040-7636","orcid":"https://orcid.org/0000-0003-2040-7636","contributorId":205786,"corporation":false,"usgs":true,"family":"Bryan","given":"Alexander","affiliations":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":802288,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Seth, Anji","contributorId":243437,"corporation":false,"usgs":false,"family":"Seth","given":"Anji","email":"","affiliations":[{"id":48713,"text":"Department of Geography, University of Connecticut, Storrs, Connecticut","active":true,"usgs":false}],"preferred":false,"id":802289,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70205248,"text":"fs20193047 - 2019 - Assessment of continuous gas resources in the Permian Phosphoria Formation of the Southwestern Wyoming Province, Wyoming, 2019","interactions":[],"lastModifiedDate":"2020-04-28T21:31:59.631416","indexId":"fs20193047","displayToPublicDate":"2019-10-21T10:45:00","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":"2019-3047","displayTitle":"Assessment of Continuous Gas Resources in the Permian Phosphoria Formation of the Southwestern Wyoming Province, Wyoming, 2019","title":"Assessment of continuous gas resources in the Permian Phosphoria Formation of the Southwestern Wyoming Province, Wyoming, 2019","docAbstract":"<p>Using a geology-based assessment methodology, the U.S. Geological Survey estimated undiscovered, technically recoverable mean resources of&nbsp;1.4 trillion cubic feet of continuous gas in the Phosphoria Formation of the Southwestern Wyoming Province, Wyoming.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20193047","usgsCitation":"Schenk, C.J., Mercier, T.J., Finn, T.M.,Marra, K.R.,Le, P.A., Leathers-Miller, H.M., Pitman, J.K., Brownfield, M.E., and Drake, R.M., II, 2019, Assessment of continuous gas resources in the Permian Phosphoria Formation of the Southwestern Wyoming Province, Wyoming, 2019: U.S. Geological Survey Fact Sheet 2019–3047, 2 p., https://doi.org/10.3133/fs20193047.","productDescription":"2 p.","onlineOnly":"N","ipdsId":"IP-108326","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":374334,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9E38JIL","text":"USGS data release","linkHelpText":"USGS National and Global Oil and Gas Assessment Project-Southwestern Wyoming Province, Phosphoria Shale Gas Assessment Unit Boundaries and Assessment Input Data Forms"},{"id":368370,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2019/3047/fs20193047.pdf","text":"Report","size":"884 kB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2019-3047"},{"id":368369,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2019/3047/coverthb.jpg"}],"country":"United States","state":"Wyoming","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -112.0166015625,\n              39.639537564366684\n            ],\n            [\n              -108.67675781249999,\n              39.639537564366684\n            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0000-0002-0248-7305 schenk@usgs.gov","orcid":"https://orcid.org/0000-0002-0248-7305","contributorId":826,"corporation":false,"usgs":true,"family":"Schenk","given":"Christopher","email":"schenk@usgs.gov","middleInitial":"J.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":770518,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mercier, Tracey J. 0000-0002-8232-525X tmercier@usgs.gov","orcid":"https://orcid.org/0000-0002-8232-525X","contributorId":2847,"corporation":false,"usgs":true,"family":"Mercier","given":"Tracey","email":"tmercier@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":770519,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Finn, Thomas M. 0000-0001-6396-9351 finn@usgs.gov","orcid":"https://orcid.org/0000-0001-6396-9351","contributorId":778,"corporation":false,"usgs":true,"family":"Finn","given":"Thomas","email":"finn@usgs.gov","middleInitial":"M.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":770520,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Marra, Kristen R. 0000-0001-8027-5255 kmarra@usgs.gov","orcid":"https://orcid.org/0000-0001-8027-5255","contributorId":4844,"corporation":false,"usgs":true,"family":"Marra","given":"Kristen","email":"kmarra@usgs.gov","middleInitial":"R.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":770521,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Le, Phuong A. 0000-0003-2477-509X ple@usgs.gov","orcid":"https://orcid.org/0000-0003-2477-509X","contributorId":150418,"corporation":false,"usgs":true,"family":"Le","given":"Phuong","email":"ple@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":770522,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Leathers-Miller, Heidi M. 0000-0001-5208-9906 hleathers@usgs.gov","orcid":"https://orcid.org/0000-0001-5208-9906","contributorId":150419,"corporation":false,"usgs":true,"family":"Leathers-Miller","given":"Heidi","email":"hleathers@usgs.gov","middleInitial":"M.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":770523,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pitman, Janet K. 0000-0002-0441-779X jpitman@usgs.gov","orcid":"https://orcid.org/0000-0002-0441-779X","contributorId":767,"corporation":false,"usgs":true,"family":"Pitman","given":"Janet","email":"jpitman@usgs.gov","middleInitial":"K.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":770524,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Brownfield, Michael E. 0000-0003-3633-1138 mbrownfield@usgs.gov","orcid":"https://orcid.org/0000-0003-3633-1138","contributorId":1548,"corporation":false,"usgs":true,"family":"Brownfield","given":"Michael","email":"mbrownfield@usgs.gov","middleInitial":"E.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":770525,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Drake, Ronald M. II 0000-0002-1770-4667","orcid":"https://orcid.org/0000-0002-1770-4667","contributorId":206291,"corporation":false,"usgs":true,"family":"Drake","given":"Ronald M.","suffix":"II","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":770526,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70214521,"text":"70214521 - 2019 - Debris-flow monitoring and warning: Review and examples","interactions":[],"lastModifiedDate":"2020-09-30T14:30:29.965691","indexId":"70214521","displayToPublicDate":"2019-10-21T09:30:15","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1431,"text":"Earth-Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Debris-flow monitoring and warning: Review and examples","docAbstract":"<p><span>Debris flows represent one of the most dangerous types of mass movements, because of their high velocities, large impact forces and long runout distances. This review describes the available debris-flow monitoring techniques and proposes recommendations to inform the design of future monitoring and warning/alarm systems. The selection and application of these techniques is highly dependent on site and hazard characterization, which is illustrated through detailed descriptions of nine monitoring sites: five in Europe, three in Asia and one in the USA. Most of these monitored catchments cover less than ∼10</span><span>&nbsp;</span><span>km</span><sup>2</sup><span>&nbsp;and are topographically rugged with Melton Indices greater than 0.5. Hourly rainfall intensities between 5 and 15</span><span>&nbsp;</span><span>mm/h are sufficient to trigger debris flows at many of the sites, and observed debris-flow volumes range from a few hundred up to almost one million cubic meters. The sensors found in these monitoring systems can be separated into two classes: a class measuring the initiation mechanisms, and another class measuring the flow dynamics. The first class principally includes rain gauges, but also contains of soil moisture and pore-water pressure sensors. The second class involves a large variety of sensors focusing on flow stage or ground vibrations and commonly includes video cameras to validate and aid in the data interpretation. Given the sporadic nature of debris flows, an essential characteristic of the monitoring systems is the differentiation between a continuous mode that samples at low frequency (“non-event mode”) and another mode that records the measurements at high frequency (“event mode”). The event detection algorithm, used to switch into the “event mode” depends on a threshold that is typically based on rainfall or ground vibration. Identifying the correct definition of these thresholds is a fundamental task not only for monitoring purposes, but also for the implementation of warning and alarm systems.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.earscirev.2019.102981","usgsCitation":"Hurlimann, M., Coviello, V., Bel, C., Guo, X., Berti, M., Graf, C., Hubl, J., Miyata, S., Smith, J.B., and Yin, H., 2019, Debris-flow monitoring and warning: Review and examples: Earth-Science Reviews, v. 199, 102981, 26 p., https://doi.org/10.1016/j.earscirev.2019.102981.","productDescription":"102981, 26 p.","ipdsId":"IP-112575","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":459437,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/2117/177770","text":"External Repository"},{"id":378905,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"199","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hurlimann, Marcel","contributorId":241626,"corporation":false,"usgs":false,"family":"Hurlimann","given":"Marcel","email":"","affiliations":[{"id":48365,"text":"Department Division of Geotechnical Engineering and Geosciences, Department of Civil and Environmental Engineering UPC BarcelonaTECH, Barcelona, Spain","active":true,"usgs":false}],"preferred":false,"id":799791,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coviello, Velio","contributorId":241627,"corporation":false,"usgs":false,"family":"Coviello","given":"Velio","email":"","affiliations":[{"id":48366,"text":"Faculty of Science and Technology, Free University of Bozen-Bolzano, Italy","active":true,"usgs":false}],"preferred":false,"id":799792,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bel, Coraline","contributorId":241628,"corporation":false,"usgs":false,"family":"Bel","given":"Coraline","email":"","affiliations":[{"id":48367,"text":"Université Grenoble Alpes, Irstea, UR ETNA, St-Martin-d’Hères, France","active":true,"usgs":false}],"preferred":false,"id":799793,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Guo, Xiaojun","contributorId":241629,"corporation":false,"usgs":false,"family":"Guo","given":"Xiaojun","email":"","affiliations":[{"id":48368,"text":"Key Laboratory of Mountain Surface Process and Hazards/Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu, China","active":true,"usgs":false}],"preferred":false,"id":799794,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Berti, Matteo","contributorId":241630,"corporation":false,"usgs":false,"family":"Berti","given":"Matteo","affiliations":[{"id":48369,"text":"Dipartimento di Scienze Biologiche, Geologiche e Ambientali, Università di Bologna, Bologna, Italy","active":true,"usgs":false}],"preferred":false,"id":799795,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Graf, Christoph","contributorId":241631,"corporation":false,"usgs":false,"family":"Graf","given":"Christoph","email":"","affiliations":[{"id":34058,"text":"Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Birmensdorf, Switzerland","active":true,"usgs":false}],"preferred":false,"id":799796,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hubl, Johannes","contributorId":241632,"corporation":false,"usgs":false,"family":"Hubl","given":"Johannes","email":"","affiliations":[{"id":48370,"text":"Institute of Mountain Risk engineering, Department of Natural Hazards and Civil Engineering, University of Natural Resources and Life Sciences (BOKU), Vienna, Austria","active":true,"usgs":false}],"preferred":false,"id":799797,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Miyata, Shusuke","contributorId":241633,"corporation":false,"usgs":false,"family":"Miyata","given":"Shusuke","email":"","affiliations":[{"id":48371,"text":"Disaster Prevention Research Institute, Kyoto University, Takayama, Japan","active":true,"usgs":false}],"preferred":false,"id":799798,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Smith, Joel B. 0000-0001-7219-7875 jbsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-7219-7875","contributorId":4925,"corporation":false,"usgs":true,"family":"Smith","given":"Joel","email":"jbsmith@usgs.gov","middleInitial":"B.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":799799,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Yin, Hsiao-Yuan","contributorId":241634,"corporation":false,"usgs":false,"family":"Yin","given":"Hsiao-Yuan","email":"","affiliations":[{"id":48373,"text":"Soil and Water Conservation Bureau, Council of Agriculture, Nantou, Taiwan","active":true,"usgs":false}],"preferred":false,"id":799800,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70211577,"text":"70211577 - 2019 - Comparisons of stereological and other approaches for quantifying macrophage aggregates in piscine spleens","interactions":[],"lastModifiedDate":"2020-07-31T14:24:22.240415","indexId":"70211577","displayToPublicDate":"2019-10-21T09:19:50","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2177,"text":"Journal of Aquatic Animal Health","active":true,"publicationSubtype":{"id":10}},"title":"Comparisons of stereological and other approaches for quantifying macrophage aggregates in piscine spleens","docAbstract":"<p><span>Macrophage aggregates (MA s) are focal accumulations of pigmented macrophages in the spleen and other tissues of fish. A central role of MA s is the clearance and destruction of degenerating cells and recycling of some cellular components. Macrophage aggregates also respond to chemical contaminants and infectious agents and may play a role in the adaptive immune response. Tissue damage or physiological stress can result in increased MA accumulation. As a result, MA s may be sensitive biomarkers of environmental stress in fish. Abundance of MA s in tissues has been reported in a variety of ways—most commonly as density, mean size, and relative area—but the utility of these estimates has not been compared. In this study, four different types of splenic MA abundance estimates (abundance score, density, relative area, and total volume) were compared in two fish populations (Striped Bass&nbsp;</span><i>Morone saxatilis<span>&nbsp;</span></i><span>and White Perch&nbsp;</span><i>M.&nbsp;americana<span>&nbsp;</span></i><span>) with a wide range in ages. Stereological estimates of total volume indicated an increase in MA abundance with spleen volume, which generally corresponded to fish age, and with splenic infections (mycobacteria or trematode parasites). Abundance scores were generally limited in the ability to detect changes in MA abundance by these factors, whereas density estimates were greatly influenced by changes in spleen volume. In some instances, densities declined while the total volume of MA s and spleen volume increased. Experimentally induced acute stress resulted in a decrease in spleen volume and an increase in MA density, although the total volume of MA s remained unchanged. Relative area estimates accounted for the size and number of MA s but not for changes in organ volume. Total volume is an absolute measure of MA abundance irrespective of changes in organ volume or patterns of accumulation and may provide an improved means of quantifying MA s in the spleens of fish.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/aah.10086","usgsCitation":"Matsche, M.A., Blazer, V., and Mazik, P.M., 2019, Comparisons of stereological and other approaches for quantifying macrophage aggregates in piscine spleens: Journal of Aquatic Animal Health, v. 31, no. 4, p. 328-348, https://doi.org/10.1002/aah.10086.","productDescription":"21 p.","startPage":"328","endPage":"348","ipdsId":"IP-101730","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":376946,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland","otherGeospatial":"Choptank River, Nanticoke River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -76.2176513671875,\n              38.199338565983844\n            ],\n            [\n              -75.7891845703125,\n              38.199338565983844\n            ],\n            [\n              -75.7891845703125,\n              39.049052206453524\n            ],\n            [\n              -76.2176513671875,\n              39.049052206453524\n            ],\n            [\n              -76.2176513671875,\n              38.199338565983844\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"31","issue":"4","noUsgsAuthors":false,"publicationDate":"2019-10-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Matsche, Mark A","contributorId":194275,"corporation":false,"usgs":false,"family":"Matsche","given":"Mark","email":"","middleInitial":"A","affiliations":[],"preferred":false,"id":794675,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blazer, Vicki S. 0000-0001-6647-9614 vblazer@usgs.gov","orcid":"https://orcid.org/0000-0001-6647-9614","contributorId":150384,"corporation":false,"usgs":true,"family":"Blazer","given":"Vicki S.","email":"vblazer@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":794676,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mazik, Patricia M. 0000-0002-8046-5929 pmazik@usgs.gov","orcid":"https://orcid.org/0000-0002-8046-5929","contributorId":2318,"corporation":false,"usgs":true,"family":"Mazik","given":"Patricia","email":"pmazik@usgs.gov","middleInitial":"M.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":794677,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70215430,"text":"70215430 - 2019 - Total grain size distribution of an intense Hawaiian fountaining event: Case study of the1959 Kīlauea Iki eruption","interactions":[],"lastModifiedDate":"2020-10-20T13:12:18.157354","indexId":"70215430","displayToPublicDate":"2019-10-19T15:19:09","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1109,"text":"Bulletin of Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"Total grain size distribution of an intense Hawaiian fountaining event: Case study of the1959 Kīlauea Iki eruption","docAbstract":"<p><span>The 1959 eruption of Kīlauea Iki on the Island of Hawai’i is a principal example of powerful Hawaiian fountaining. Over 36&nbsp;days (including repose periods), 16 fountaining episodes created a small cone, a downwind tephra blanket of approximately 0.003&nbsp;km</span><sup>3</sup><span>&nbsp;and a lava lake of about 0.04&nbsp;km</span><sup>3</sup><span>&nbsp;volume. During the explosive activity, the maximum fountain heights reached 600&nbsp;m. Based on a dataset of more than 450 tephra grain size samples, we present both a total grain size distribution (TGSD) of the entire downwind tephra deposit, and also TGSDs for two eruptive subunits (the opening and the closing stages). The opening stage was characterized by persistent fountaining over a period of 8&nbsp;days with fountain heights averaging ∼ 100&nbsp;m; in contrast, the closing stage was characterized by two short (hours-long) but powerful fountaining episodes (up to 600&nbsp;m). The significantly different fountaining intensities are reflected in the characteristics of the TGSDs. For the closing stages, we link bimodality of TGSDs to periods of simultaneous deposition of ballistics and fallout from the convective cloud, both of which are a function of the maximum fountain height. The 1959 Kīlauea Iki case study presents a well-constrained set of TGSD data linked with Hawaiian-style fountaining of two contrasting intensities and can be used as a valuable reference point for eruption source parameters in future modeling of pyroclast dispersal during Hawaiian fountaining eruptions.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00445-019-1304-y","usgsCitation":"Mueller, S.B., Houghton, B.F., Swanson, D., Poret, M., and Fagents, S.A., 2019, Total grain size distribution of an intense Hawaiian fountaining event: Case study of the1959 Kīlauea Iki eruption: Bulletin of Volcanology, v. 81, 43, 13 p., https://doi.org/10.1007/s00445-019-1304-y.","productDescription":"43, 13 p.","ipdsId":"IP-102777","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":379533,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -155.6103515625,\n              19.129599439736836\n            ],\n            [\n              -154.9896240234375,\n              19.129599439736836\n            ],\n            [\n              -154.9896240234375,\n              19.65810729872147\n            ],\n            [\n              -155.6103515625,\n              19.65810729872147\n            ],\n            [\n              -155.6103515625,\n              19.129599439736836\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"81","noUsgsAuthors":false,"publicationDate":"2019-06-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Mueller, Sebastian B","contributorId":243387,"corporation":false,"usgs":false,"family":"Mueller","given":"Sebastian","email":"","middleInitial":"B","affiliations":[{"id":48709,"text":"University of Hawai`i","active":true,"usgs":false}],"preferred":false,"id":802178,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Houghton, Bruce F. 0000-0002-7532-9770","orcid":"https://orcid.org/0000-0002-7532-9770","contributorId":140077,"corporation":false,"usgs":false,"family":"Houghton","given":"Bruce","email":"","middleInitial":"F.","affiliations":[{"id":13351,"text":"University of Hawaii Cooperative Studies Unit","active":true,"usgs":false},{"id":6977,"text":"University of Hawai`i at Hilo","active":true,"usgs":false}],"preferred":false,"id":802179,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Swanson, Donald A. 0000-0002-1680-3591","orcid":"https://orcid.org/0000-0002-1680-3591","contributorId":229682,"corporation":false,"usgs":true,"family":"Swanson","given":"Donald A.","affiliations":[],"preferred":true,"id":802180,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Poret, Matthieu","contributorId":243388,"corporation":false,"usgs":false,"family":"Poret","given":"Matthieu","email":"","affiliations":[{"id":33971,"text":"Istituto Nazionale di Geofisica e Vulcanologia, Bologna, Italy","active":true,"usgs":false}],"preferred":false,"id":802181,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fagents, Sarah A.","contributorId":243389,"corporation":false,"usgs":false,"family":"Fagents","given":"Sarah","email":"","middleInitial":"A.","affiliations":[{"id":48709,"text":"University of Hawai`i","active":true,"usgs":false}],"preferred":false,"id":802182,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70215421,"text":"70215421 - 2019 - Ecosystem size predicts social dynamics in recreational fisheries","interactions":[],"lastModifiedDate":"2020-10-19T20:16:26.631262","indexId":"70215421","displayToPublicDate":"2019-10-19T15:11:07","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1468,"text":"Ecology and Society","active":true,"publicationSubtype":{"id":10}},"title":"Ecosystem size predicts social dynamics in recreational fisheries","docAbstract":"Recreational fisheries are complex adaptive systems that are inherently difficult to manage due to a heterogeneous user group (consumptive vs. non-consumptive) that utilize patchily distributed resources on the landscape (lakes, rivers, coastlines).  There is a need to identify which system components can effectively predict and be used to manage nonlinear and cross-scale dynamics within these systems.  We examine how ecosystem size or waterbody size can be used to explain complicated and elusive angler-resource dynamics in recreational fisheries.  Waterbody size determined angler behavior among 48 Nebraska, U.S.A. waterbodies during an 11-year study period.  Angler behavior was often unique and nonlinear across waterbody sizes.  For example, anglers spent more time fishing and harvested more fish at larger waterbodies compared to smaller waterbodies.  Time fished increased across smaller waterbodies but reached a threshold at larger waterbodies.  The number of fish released increased as a function of waterbody size across smaller waterbodies but then plateaued.  Subtle changes in waterbody size caused abrupt changes in angler behavior—that is, waterbody size structures angler-resource dynamics in recreational fisheries.  We believe that including waterbody size, a simple and easily measured metric, in fisheries management will increase effectiveness of cross-scale actions and minimize unintended consequences for recreational fisheries.  Applying uniform management actions (e.g., harvest regulations) across small and large waterbodies may elicit contrasting angler-resource responses.  Waterbody size may also be useful for understanding angler typologies.  Based on our findings, we expect that ecosystem size is a prominent and valuable system component that will determine and explain coupled user-resource dynamics in other complex adaptive systems.","language":"English","publisher":"Resilience Alliance","doi":"10.5751/ES-10961-240217","usgsCitation":"Kaemingk, M., Chizinski, C.J., Allen, C.R., and Pope, K.L., 2019, Ecosystem size predicts social dynamics in recreational fisheries: Ecology and Society, v. 24, no. 2, 17, 12 p., https://doi.org/10.5751/ES-10961-240217.","productDescription":"17, 12 p.","ipdsId":"IP-097509","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":459443,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5751/es-10961-240217","text":"Publisher Index Page"},{"id":379532,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"24","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kaemingk, M. A.","contributorId":243357,"corporation":false,"usgs":false,"family":"Kaemingk","given":"M. A.","affiliations":[{"id":36892,"text":"University of Nebraska","active":true,"usgs":false}],"preferred":false,"id":802131,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chizinski, C. J.","contributorId":243358,"corporation":false,"usgs":false,"family":"Chizinski","given":"C.","email":"","middleInitial":"J.","affiliations":[{"id":36892,"text":"University of Nebraska","active":true,"usgs":false}],"preferred":false,"id":802132,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Allen, Craig R. 0000-0001-8655-8272 allencr@usgs.gov","orcid":"https://orcid.org/0000-0001-8655-8272","contributorId":1979,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"allencr@usgs.gov","middleInitial":"R.","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":802133,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pope, Kevin L. 0000-0003-1876-1687 kpope@usgs.gov","orcid":"https://orcid.org/0000-0003-1876-1687","contributorId":1574,"corporation":false,"usgs":true,"family":"Pope","given":"Kevin","email":"kpope@usgs.gov","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":802134,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70215418,"text":"70215418 - 2019 - Prey fish communities of the Laurentian Great Lakes: A cross-basin overview of status and trends based on bottom trawl surveys, 1978-2016","interactions":[],"lastModifiedDate":"2023-01-19T16:16:25.05494","indexId":"70215418","displayToPublicDate":"2019-10-19T14:56:39","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":865,"text":"Aquatic Ecosystem Health & Management","active":true,"publicationSubtype":{"id":10}},"title":"Prey fish communities of the Laurentian Great Lakes: A cross-basin overview of status and trends based on bottom trawl surveys, 1978-2016","docAbstract":"<p><span>Annual bottom trawl surveys were initiated in the 1970s in Laurentian Great Lakes Superior, Huron, Michigan and Ontario and in 1990 in Erie to provide annual assessments of the status and trends of prey fish communities. Native Cisco&nbsp;</span><i>Coregonus artedi</i><span>&nbsp;and Bloater&nbsp;</span><i>C. hoyi</i><span>&nbsp;dominated the prey fish community of Lake Superior. Prey fish communities in lakes Huron and Michigan were dominated by nonnative Rainbow Smelt&nbsp;</span><i>Osmerus mordax</i><span>&nbsp;and Alewife&nbsp;</span><i>Alosa pseudoharengus</i><span>&nbsp;for much of 1978-2016, but Bloater was an important species during the 1980-1990s and more recently has become the dominant prey species in these lakes. Alewife dominated the prey fish community of Lake Ontario during all 1978-2016. While nonnatives dominated the prey fish community in Lake Erie, native Emerald Shiner&nbsp;</span><i>Notropis atherinoides</i><span>&nbsp;was an important species and occasionally the dominant prey fish after the establishment of Round Goby&nbsp;</span><i>Neogobius melanostomus</i><span>&nbsp;in the late 1990s. During the 1980s-1990s&nbsp;</span><i>Bythotrephes cederstroemi, Dreissena polymorpha</i><span>, and&nbsp;</span><i>Dreissena bugensis</i><span>&nbsp;caused profound changes in Laurentian Great Lakes ecosystems and likely contributed to declines in fish community biomass in lakes Michigan and Huron. The impacts of these invaders were more muted in lakes Erie and Ontario. Lake Superior stands out as the Laurentian Great Lakes success story: Lake Trout&nbsp;</span><i>Salvelinus namaycush</i><span>&nbsp;was restored, and native prey fishes dominate and support a viable fishery. Although the abundance of Bloater has increased recently in lakes Huron and Michigan, recovery of native prey fishes remains uncertain. The absence of native species among the principal prey fish in Lake Ontario indicates a lack of progress in native fish recovery. Recovery of native prey fishes remains unclear in Lake Erie. The ever-changing state of the Laurentian Great Lakes caused by the impacts of invasive species and ongoing climate and ecosystem change will continue to challenge restoration of native fish communities in the 21st Century.</span></p>","language":"English","publisher":"Aquatic Ecosystem Health & Management Society","doi":"10.1080/14634988.2019.1674012","usgsCitation":"Gorman, O., 2019, Prey fish communities of the Laurentian Great Lakes: A cross-basin overview of status and trends based on bottom trawl surveys, 1978-2016: Aquatic Ecosystem Health & Management, v. 22, no. 3, p. 263-279, https://doi.org/10.1080/14634988.2019.1674012.","productDescription":"17 p.","startPage":"263","endPage":"279","ipdsId":"IP-107179","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":379531,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Great Lakes","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -88.59374999999999,\n              49.03786794532644\n            ],\n            [\n              -92.98828125,\n              46.98025235521883\n            ],\n            [\n              -90.263671875,\n              46.07323062540835\n            ],\n            [\n              -87.62695312499999,\n              46.195042108660154\n            ],\n            [\n              -88.41796875,\n              44.653024159812\n            ],\n            [\n              -88.505859375,\n              41.96765920367816\n            ],\n            [\n              -86.396484375,\n              41.64007838467894\n            ],\n            [\n              -85.95703125,\n              42.68243539838623\n            ],\n            [\n              -86.1328125,\n              45.089035564831036\n            ],\n            [\n              -84.0234375,\n              44.59046718130883\n            ],\n            [\n              -84.287109375,\n              43.26120612479979\n            ],\n            [\n              -83.671875,\n              41.57436130598913\n            ],\n            [\n              -82.177734375,\n              41.11246878918088\n            ],\n            [\n              -78.57421875,\n              42.74701217318067\n            ],\n            [\n              -75.76171875,\n              43.51668853502906\n            ],\n            [\n              -76.81640625,\n              44.465151013519616\n            ],\n            [\n              -79.013671875,\n              44.276671273775186\n            ],\n            [\n              -80.244140625,\n              45.82879925192134\n            ],\n            [\n              -83.49609375,\n              46.437856895024204\n            ],\n            [\n              -84.375,\n              47.517200697839414\n            ],\n            [\n              -83.671875,\n              48.16608541901253\n            ],\n            [\n              -86.923828125,\n              49.15296965617042\n            ],\n            [\n              -88.59374999999999,\n              49.03786794532644\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"22","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gorman, Owen 0000-0003-0451-110X","orcid":"https://orcid.org/0000-0003-0451-110X","contributorId":216889,"corporation":false,"usgs":true,"family":"Gorman","given":"Owen","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":802112,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70215417,"text":"70215417 - 2019 - Historical land use and land cover for assessing the northern Colorado Front Range urban landscape","interactions":[],"lastModifiedDate":"2020-10-20T13:15:57.557465","indexId":"70215417","displayToPublicDate":"2019-10-19T14:46:11","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2375,"text":"Journal of Maps","active":true,"publicationSubtype":{"id":10}},"title":"Historical land use and land cover for assessing the northern Colorado Front Range urban landscape","docAbstract":"We describe historical land-use and land-cover (LULC) maps for the northern Colorado urban Front Range. The Front Range urban landscape is diverse and interspersed with highly productive agriculture as well as natural land cover types including evergreen forest in the Rocky Mountain foothills and Great Plains grassland. To understand the dynamics of urban growth, raster maps were created at a 1 meter resolution for each of four time steps, nominally 1937, 1957, 1977, and 1997. In total, 38 detailed LULC classes were identified using manual interpretation techniques, aerial photographs, historical maps, and other available information. The maps provide high resolution spatial data for understanding the historical progression of urbanization and will allow further analysis of the effects of urban growth on social and ecological systems.","language":"English","publisher":"Taylor & Francis","doi":"10.1080/17445647.2018.1548383","usgsCitation":"Drummond, M.A., Stier, M.P., and Diffendorfer, J., 2019, Historical land use and land cover for assessing the northern Colorado Front Range urban landscape: Journal of Maps, v. 15, no. 2, p. 89-93, https://doi.org/10.1080/17445647.2018.1548383.","productDescription":"5 p.","startPage":"89","endPage":"93","ipdsId":"IP-093283","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":459446,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/17445647.2018.1548383","text":"Publisher Index Page"},{"id":437298,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P995RGC9","text":"USGS data release","linkHelpText":"Data release for the Historical land use and land cover for assessing the northern Colorado Front Range urban landscape"},{"id":379530,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Northern Colorado Front Range","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -105.49072265625,\n              39.317300373271024\n            ],\n            [\n              -104.501953125,\n              39.317300373271024\n            ],\n            [\n              -104.501953125,\n              40.9964840143779\n            ],\n            [\n              -105.49072265625,\n              40.9964840143779\n            ],\n            [\n              -105.49072265625,\n              39.317300373271024\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"15","issue":"2","noUsgsAuthors":false,"publicationDate":"2019-02-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Drummond, Mark A. 0000-0001-7420-3503 madrummond@usgs.gov","orcid":"https://orcid.org/0000-0001-7420-3503","contributorId":3053,"corporation":false,"usgs":true,"family":"Drummond","given":"Mark","email":"madrummond@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":802109,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stier, Michael P. 0000-0002-8518-9855 mpstier@usgs.gov","orcid":"https://orcid.org/0000-0002-8518-9855","contributorId":3121,"corporation":false,"usgs":true,"family":"Stier","given":"Michael","email":"mpstier@usgs.gov","middleInitial":"P.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":802110,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Diffendorfer, James E. 0000-0003-1093-6948 jediffendorfer@usgs.gov","orcid":"https://orcid.org/0000-0003-1093-6948","contributorId":3208,"corporation":false,"usgs":true,"family":"Diffendorfer","given":"James E.","email":"jediffendorfer@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":802111,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70215416,"text":"70215416 - 2019 - Comparing and improving methods for reconstructing peatland water-table depth from testate amoebae","interactions":[],"lastModifiedDate":"2020-10-19T19:40:15.940198","indexId":"70215416","displayToPublicDate":"2019-10-19T14:19:23","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1905,"text":"Holocene","active":true,"publicationSubtype":{"id":10}},"title":"Comparing and improving methods for reconstructing peatland water-table depth from testate amoebae","docAbstract":"Proxies that use changes in the composition of ecological communities to reconstruct temporal changes in an environmental covariate are commonly used in paleoclimatology and paleolimnology. Existing methods, such as weighted averaging and modern analog technique,\nrelate compositional data to the covariate in very simple ways, and different methods are seldom compared systematically. We present a new Bayesian model that better represents the underlying data and the complexity in the relationships between species’ abundances and a paleoenvironmental covariate. Using testate amoeba-based reconstructions of water-table depth as a test case, we systematically compare new and existing models in a cross-validation experiment on a large training dataset from North America. We then apply the different\nmodels to a new 7500-year record of testate amoeba assemblages from Caribou Bog in Maine and compare the resulting water-table depth reconstructions. We find that Bayesian models represent an improvement over existing methods in three key ways: more complete use of the underlying compositional data, full and meaningful treatment of uncertainty, and clear paths toward methodological improvements. Furthermore, we highlight how developing and systematically comparing methods leads to an improved understanding of the proxy system.\nThis paper focuses on testate amoebae and water-table depth, but the framework and ideas are widely applicable to other proxies based on compositional data.","language":"English","publisher":"SAGE Publications","doi":"10.1177/0959683619846969","usgsCitation":"Nolan, C., Tipton, J., Booth, R., Hooten, M., and Jackson, S., 2019, Comparing and improving methods for reconstructing peatland water-table depth from testate amoebae: Holocene, v. 29, no. 8, p. 1350-1361, https://doi.org/10.1177/0959683619846969.","productDescription":"12 p.","startPage":"1350","endPage":"1361","ipdsId":"IP-098724","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":459448,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1177/0959683619846969","text":"Publisher Index 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   ],\n            [\n              -111.796875,\n              46.437856895024204\n            ],\n            [\n              -115.13671875,\n              46.437856895024204\n            ],\n            [\n              -115.13671875,\n              44.08758502824516\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"29","issue":"8","noUsgsAuthors":false,"publicationDate":"2019-05-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Nolan, Connor","contributorId":197051,"corporation":false,"usgs":false,"family":"Nolan","given":"Connor","affiliations":[],"preferred":false,"id":802104,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tipton, John","contributorId":166999,"corporation":false,"usgs":false,"family":"Tipton","given":"John","affiliations":[],"preferred":false,"id":802105,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Booth, Robert K.","contributorId":243345,"corporation":false,"usgs":false,"family":"Booth","given":"Robert K.","affiliations":[{"id":16160,"text":"Lehigh University","active":true,"usgs":false}],"preferred":false,"id":802106,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hooten, Mevin 0000-0002-1614-723X mhooten@usgs.gov","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":2958,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin","email":"mhooten@usgs.gov","affiliations":[{"id":12963,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO","active":true,"usgs":false},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":802107,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jackson, Stephen 0000-0002-1487-4652","orcid":"https://orcid.org/0000-0002-1487-4652","contributorId":219995,"corporation":false,"usgs":true,"family":"Jackson","given":"Stephen","affiliations":[{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":802108,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70215415,"text":"70215415 - 2019 - Differential effects of temperature and salinity on growth and mortality of oysters (Crassostrea virginica) in Barataria Bay and Breton Sound, Louisiana","interactions":[],"lastModifiedDate":"2020-10-19T19:17:19.843075","indexId":"70215415","displayToPublicDate":"2019-10-19T14:12:59","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2455,"text":"Journal of Shellfish Research","active":true,"publicationSubtype":{"id":10}},"title":"Differential effects of temperature and salinity on growth and mortality of oysters (Crassostrea virginica) in Barataria Bay and Breton Sound, Louisiana","docAbstract":"Temperature and salinity and their interaction exert a major control on the life cycle of the eastern oyster (Crassostrea virginica), affecting reproduction, development, growth, and mortality. Quantifying specific temperature and salinity relationships on oyster growth and mortality has however proven difficult, with data suggesting potentially region-specific responses. Legacy and recent data from field tray studies from public oyster grounds in Barataria Bay and Breton Sound were used to estimate growth and mortality rates as a function of temperature and salinity. Previous studies conducted in Barataria Bay and Breton Sound reported differences in growth and mortality between the basins. In the present study, environmental conditions were synchronized to compare growth and mortality between basins at similar combinations of temperature and salinity. Results indicate that when temperature and salinity are the same (synchronized), seasonal oyster growth and mortality rates still differ between Barataria Bay and Breton Sound. Given the same salinity and temperature conditions, differences in growth and mortality rates between estuaries may persist due to differences in other environmental conditions (i.e., food quality and composition, hydrology, site history, salinity variation) or localized genetic adaptations to environmental conditions.","language":"English","publisher":"BioOne","doi":"10.2983/035.038.0212","usgsCitation":"Sehlinger, T., Lowe, M., LaPeyre, M.K., and Soniat, T., 2019, Differential effects of temperature and salinity on growth and mortality of oysters (Crassostrea virginica) in Barataria Bay and Breton Sound, Louisiana: Journal of Shellfish Research, v. 38, no. 2, p. 317-326, https://doi.org/10.2983/035.038.0212.","productDescription":"10 p.","startPage":"317","endPage":"326","ipdsId":"IP-105718","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":379528,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Lousianna","otherGeospatial":"Barataria Bay and Brenton Sound","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -90.8349609375,\n              28.714678586705976\n            ],\n            [\n              -89.033203125,\n              28.714678586705976\n            ],\n            [\n              -89.033203125,\n              30.32547125932808\n            ],\n            [\n              -90.8349609375,\n              30.32547125932808\n            ],\n            [\n              -90.8349609375,\n              28.714678586705976\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"38","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sehlinger, T.","contributorId":243342,"corporation":false,"usgs":false,"family":"Sehlinger","given":"T.","affiliations":[{"id":12717,"text":"Louisiana Department of Wildlife and Fisheries","active":true,"usgs":false}],"preferred":false,"id":802099,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lowe, M.R.","contributorId":243343,"corporation":false,"usgs":false,"family":"Lowe","given":"M.R.","email":"","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":802100,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"LaPeyre, Megan K. 0000-0001-9936-2252 mlapeyre@usgs.gov","orcid":"https://orcid.org/0000-0001-9936-2252","contributorId":585,"corporation":false,"usgs":true,"family":"LaPeyre","given":"Megan","email":"mlapeyre@usgs.gov","middleInitial":"K.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":802101,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Soniat, T.M.","contributorId":243344,"corporation":false,"usgs":false,"family":"Soniat","given":"T.M.","email":"","affiliations":[{"id":37245,"text":"University of New Orleans","active":true,"usgs":false}],"preferred":false,"id":802102,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
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