{"pageNumber":"228","pageRowStart":"5675","pageSize":"25","recordCount":184617,"records":[{"id":70245761,"text":"70245761 - 2023 - National- to continental-scale governmental geophysical efforts for critical mineral mapping, USA","interactions":[],"lastModifiedDate":"2024-01-26T17:07:17.625859","indexId":"70245761","displayToPublicDate":"2023-11-01T11:03:58","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"National- to continental-scale governmental geophysical efforts for critical mineral mapping, USA","docAbstract":"The U.S. Geological Survey (USGS) has established robust collaborations with domestic state and international geological surveys to provide geophysical and other types of earth science data that act to underpin critical mineral research efforts across the United States, Canada, and Australia.  The Earth Mapping Resource Initiative (EMRI) is a national-scale collaborative effort with state geological surveys to improve geophysical and geological data to advance our understanding of the United States’ critical mineral endowment. The Critical Mineral Mapping Initiative (CMMI) is a tri-national collaboration with the federal geological surveys of Canada and Australia to conduct research that will aid in identifying new areas with potential for critical mineral deposits across all three countries. This study describes the important interplay between the EMRI and CMMI and how each act in a complementary fashion to advance critical mineral research. We present examples that illustrate how magnetic anomaly data are used to define critical mineral prospectivity for Mississippi Valley-type (MVT) Zn-Pb mineral systems and illustrate how CMMI magnetic derivative maps were considered into USGS’ EMRI efforts to acquire modern high-resolution airborne geophysical data over a large area within the US Midcontinent.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 17th SGA biennial meeting","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"17th Biennial SGA Meeting","conferenceDate":"August 28 - September 1, 2023","conferenceLocation":"Zurich, Switzerland","language":"English","publisher":"Society for Geology Applied to Mineral Deposits","usgsCitation":"McCafferty, A.E., Amaral, C.M., and Graham, G.E., 2023, National- to continental-scale governmental geophysical efforts for critical mineral mapping, USA, <i>in</i> Proceedings of the 17th SGA biennial meeting, v. 3, Zurich, Switzerland, August 28 - September 1, 2023, p. 363-366.","productDescription":"4 p.","startPage":"363","endPage":"366","ipdsId":"IP-151080","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":425020,"rank":1,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://sga2023.ch/programme/","linkFileType":{"id":5,"text":"html"}},{"id":425021,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -99,\n              44\n            ],\n            [\n              -99,\n              32\n            ],\n            [\n              -82,\n              32\n            ],\n            [\n              -82,\n              44\n            ],\n            [\n              -99,\n              44\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"McCafferty, Anne E. 0000-0001-5574-9201 anne@usgs.gov","orcid":"https://orcid.org/0000-0001-5574-9201","contributorId":1120,"corporation":false,"usgs":true,"family":"McCafferty","given":"Anne","email":"anne@usgs.gov","middleInitial":"E.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":876247,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Amaral, Chelsea Morgan 0000-0003-4632-4097","orcid":"https://orcid.org/0000-0003-4632-4097","contributorId":313539,"corporation":false,"usgs":true,"family":"Amaral","given":"Chelsea","email":"","middleInitial":"Morgan","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":876248,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Graham, Garth E. 0000-0003-0657-0365 ggraham@usgs.gov","orcid":"https://orcid.org/0000-0003-0657-0365","contributorId":1031,"corporation":false,"usgs":true,"family":"Graham","given":"Garth","email":"ggraham@usgs.gov","middleInitial":"E.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":876249,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70248416,"text":"70248416 - 2023 - The Mount Weld rare earth element deposit, Western Australia: A carbonatite-derived laterite","interactions":[],"lastModifiedDate":"2024-01-26T16:54:33.499412","indexId":"70248416","displayToPublicDate":"2023-11-01T10:51:36","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"The Mount Weld rare earth element deposit, Western Australia: A carbonatite-derived laterite","docAbstract":"<p>Carbonatite-hosted rare earth element (REE) deposits are the primary source of the world’s light REEs and have the potential to be a source of heavy REEs. The Mount Weld REE deposit in Western Australia is hosted in a lateritic sequence that reflects supergene enrichment of the underlying carbonatite complex. Similar to other carbonatite-related ore deposits, ore from Mount Weld displays extreme light REE (LREE) enrichment (La up to 4 wt. %), but in contrast also contains substantially higher concentrations of heavy REEs (HREEs). REE enrichment in the laterite is controlled by the breakdown of primary minerals, the release and transport of REEs, and the formation of secondary minerals. Secondary REE-bearing phosphate minerals are the primary REE-host phases in the laterite ore with monazite as the dominant phase; other REE-bearing phases include rhabdophane, cerianite, churchite, florencite, and crandallite subgroup minerals. Profiles through the laterite show that in the REE-rich zone, apatite and primary calcite have broken down, and dolomite decreases by approximately 60-100%, such that the loss of Ca and Mg, as well as Si and K, leads to a relative increase in the REEs. Sequestering of REEs in secondary mineral phases formed by groundwater further enhances the REE concentration. </p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 17th SGA biennial meeting","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"17th Biennial SGA Meeting","conferenceDate":"August 28 - September 1, 2023","conferenceLocation":"Zurich, Switzerland","language":"English","publisher":"Society for Geology Applied to Mineral Deposits","usgsCitation":"Verplanck, P., Lowers, H.A., Boehlke, A., Thompson, J.M., Bhat, G., and Mercer, C.M., 2023, The Mount Weld rare earth element deposit, Western Australia: A carbonatite-derived laterite, <i>in</i> Proceedings of the 17th SGA biennial meeting, v. 3, Zurich, Switzerland, August 28 - September 1, 2023, p. 236-239.","productDescription":"4 p.","startPage":"236","endPage":"239","ipdsId":"IP-153160","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":425017,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://sga2023.ch/programme/","linkFileType":{"id":5,"text":"html"}},{"id":425018,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Australia","otherGeospatial":"Mount Weld mine","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              122.55844013162994,\n              -28.85365271342775\n            ],\n            [\n              122.52098580319358,\n              -28.85365271342775\n            ],\n            [\n              122.52098580319358,\n              -28.88079141106332\n            ],\n            [\n              122.55844013162994,\n              -28.88079141106332\n            ],\n            [\n              122.55844013162994,\n              -28.85365271342775\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Verplanck, Philip 0000-0002-3653-6419","orcid":"https://orcid.org/0000-0002-3653-6419","contributorId":211010,"corporation":false,"usgs":true,"family":"Verplanck","given":"Philip","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":882846,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lowers, Heather A. 0000-0001-5360-9264 hlowers@usgs.gov","orcid":"https://orcid.org/0000-0001-5360-9264","contributorId":191307,"corporation":false,"usgs":true,"family":"Lowers","given":"Heather","email":"hlowers@usgs.gov","middleInitial":"A.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":882847,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boehlke, Adam 0000-0003-4980-431X aboehlke@usgs.gov","orcid":"https://orcid.org/0000-0003-4980-431X","contributorId":3470,"corporation":false,"usgs":true,"family":"Boehlke","given":"Adam","email":"aboehlke@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":882848,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thompson, Jay M. 0000-0003-3322-0870","orcid":"https://orcid.org/0000-0003-3322-0870","contributorId":329664,"corporation":false,"usgs":true,"family":"Thompson","given":"Jay","middleInitial":"M.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":882849,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bhat, Ganesh","contributorId":329666,"corporation":false,"usgs":false,"family":"Bhat","given":"Ganesh","email":"","affiliations":[{"id":78683,"text":"Lynas Rare Earths Ltd","active":true,"usgs":false}],"preferred":false,"id":882850,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mercer, Cameron Mark 0000-0003-0534-848X","orcid":"https://orcid.org/0000-0003-0534-848X","contributorId":301880,"corporation":false,"usgs":true,"family":"Mercer","given":"Cameron","email":"","middleInitial":"Mark","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":882851,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70251091,"text":"70251091 - 2023 - Critical minerals in Climax-type magmatic-hydrothermal systems","interactions":[],"lastModifiedDate":"2024-01-26T16:56:28.00846","indexId":"70251091","displayToPublicDate":"2023-11-01T10:42:46","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Critical minerals in Climax-type magmatic-hydrothermal systems","docAbstract":"<p>Today’s global economy is challenged to meet the growing demand for commodities used in existing and emerging advanced technologies. Critical minerals are commodities found in a wide variety of ore deposits that are vital to the economic or national security of individual nations that are vulnerable to supply disruption. The U.S. Geological Survey is striving to advance understanding of critical mineral resources by employing a Mineral Systems approach. Climax-type systems are one of 17 mineral systems currently under investigation. The aim of this work is to inventory and assess knowledge gaps on the abundance of 50 critical minerals in Climax-type systems. Here we synthesize geochemical data from ore concentrates, ore, waste, and minerals together with information on production from, and resources in, ore deposits. The goal of this work is to estimate the amount of critical minerals present in processed mine waste and unmined resources, discuss those that could potentially be recovered in the future, and identify important future areas of research. </p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 17th SGA biennial meeting","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"17th Biennial SGA Meeting","conferenceDate":"August 28 - September 1, 2023","conferenceLocation":"Zurich, Switzerland","language":"English","publisher":"Society for Geology Applied to Mineral Deposits","usgsCitation":"Mercer, C.N., Guzman, M.A., Hofstra, A.H., and Rosera, J.M., 2023, Critical minerals in Climax-type magmatic-hydrothermal systems, <i>in</i> Proceedings of the 17th SGA biennial meeting, v. 1, Zurich, Switzerland, August 28 - September 1, 2023, p. 274-277.","productDescription":"4 p.","startPage":"274","endPage":"277","ipdsId":"IP-151321","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":425019,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://sga2023.ch/programme/","linkFileType":{"id":5,"text":"html"}},{"id":425016,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Mercer, Celestine N. 0000-0001-8359-4147 cmercer@usgs.gov","orcid":"https://orcid.org/0000-0001-8359-4147","contributorId":4006,"corporation":false,"usgs":true,"family":"Mercer","given":"Celestine","email":"cmercer@usgs.gov","middleInitial":"N.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":893064,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guzman, Mario A 0000-0002-0940-148X","orcid":"https://orcid.org/0000-0002-0940-148X","contributorId":292882,"corporation":false,"usgs":true,"family":"Guzman","given":"Mario","email":"","middleInitial":"A","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":893065,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hofstra, Albert H. 0000-0002-2450-1593 ahofstra@usgs.gov","orcid":"https://orcid.org/0000-0002-2450-1593","contributorId":1302,"corporation":false,"usgs":true,"family":"Hofstra","given":"Albert","email":"ahofstra@usgs.gov","middleInitial":"H.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":893066,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rosera, Joshua Mark 0000-0003-3807-5000","orcid":"https://orcid.org/0000-0003-3807-5000","contributorId":270284,"corporation":false,"usgs":true,"family":"Rosera","given":"Joshua","email":"","middleInitial":"Mark","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":893067,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70249906,"text":"70249906 - 2023 - James Tributary summary: A summary of trends in tidal water quality and associated factors, 1985-2021","interactions":[],"lastModifiedDate":"2023-11-08T11:46:46.274448","indexId":"70249906","displayToPublicDate":"2023-11-01T10:41:16","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"James Tributary summary: A summary of trends in tidal water quality and associated factors, 1985-2021","docAbstract":"<p>The James Tributary Summary outlines change over time for a suite of monitored tidal water quality parameters and associated potential drivers of those trends for the period 1985 – 2021 and provides a brief description of the current state of knowledge explaining these observed changes. Water quality parameters described include surface (above pycnocline) total nitrogen (TN), surface total phosphorus (TP), surface water temperature (WTEMP), spring and summer (June, July, August) surface chlorophyll a, summer bottom (below pycnocline) dissolved oxygen (DO) concentrations, and Secchi disk depth (a measure of water clarity). Results for annual bottom TP, bottom TN, surface ortho-phosphate (PO4), surface dissolved inorganic nitrogen (DIN), surface total suspended solids (TSS), and summer surface DO concentrations are provided in an Appendix. Drivers discussed include physiographic watershed characteristics, changes in TN, TP, and sediment loads from the watershed to tidal waters, expected effects of changing land use, and implementation of nutrient management and natural resource conservation practices. Factors internal to estuarine waters that also play a role as drivers are described including biogeochemical processes, physical forces such as wind-driven mixing of the water column and increase in rainfall intensity and volume, and biological factors such as phytoplankton biomass and the presence of submerged aquatic vegetation. Continuing to track water quality response and investigating these influencing factors are important steps to understanding water quality patterns and changes in the James River. The intended audiences for this report include, but are not limited to, 1) technical managers within jurisdictions who are looking at tidal water quality data and trying to understand why patterns are occurring, 2) local watershed organizations that are trying to understand these analyses and working to connect them to their local area(s), and 3) federal, state, and academic researchers. Figure 1 presents a conceptual model highlighting these intended audiences. Our goal is for the Tributary Summary documents to be sources of readily available background for change over time in tidal water quality observed with monitoring data. The intended purpose of the Tributary Summary documents is to help answer questions related to water quality, show how landscape factors drive water quality change over time, provide support for management decisions that may alter water quality trends and living resources conditions, and highlight where there may be information or knowledge gaps. </p>","language":"English","publisher":"Chesapeake Bay Program","usgsCitation":"Sullivan, B.M., Gootman, K., Gunnerson, A., Johnson, C., Mason, C.A., Perry, E., Bhatt, G., Keisman, J.L., Webber, J.S., Harcum, J., Lane, M., Devereux, O., Zhang, Q., Murphy, R., Karrh, R., Butler, T., Van Note, V., and Wei, Z., 2023, James Tributary summary: A summary of trends in tidal water quality and associated factors, 1985-2021, 77 p.","productDescription":"77 p.","ipdsId":"IP-155491","costCenters":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true},{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science 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,{"id":70256619,"text":"70256619 - 2023 - Preliminary documentation of coseismic ground failure triggered by the February 6, 2023 Türkiye earthquake sequence","interactions":[],"lastModifiedDate":"2024-08-01T14:58:15.621963","indexId":"70256619","displayToPublicDate":"2023-11-01T09:49:57","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1517,"text":"Engineering Geology","active":true,"publicationSubtype":{"id":10}},"title":"Preliminary documentation of coseismic ground failure triggered by the February 6, 2023 Türkiye earthquake sequence","docAbstract":"<p><span>The devastating Kahramanmaraş earthquake sequence occurred on February 6, 2023. Two main events, M</span><sub>w</sub><span>&nbsp;7.8 and M</span><sub>w</sub><span>&nbsp;7.5 occurred 9 hours apart, affected 11 cities in Turkey, and subjected an area of ∼90,000&nbsp;km</span><sup>2</sup><span>&nbsp;to shaking levels known to trigger landslides (peak ground acceleration&nbsp;&gt;&nbsp;0.08&nbsp;g). Extensive landsliding was expected given the hilly terrain affected by this significant ground shaking—about 15% of the topography is steeper than 20°—but was not initially apparent in early satellite imagery, mostly because of obscuring snow that fell just after the earthquakes. However, after a more detailed investigation using high-resolution satellite images, aerial photos, and a field survey, we confirmed that this earthquake sequence did, indeed, trigger numerous landslides. In this study, we present those findings and provide a preliminary characterization of the spatial distribution, general characteristics, and dominant types of landslides and&nbsp;hillslope&nbsp;deformation triggered by the earthquake sequence. We mapped 3673 coseismic landslides, mostly concentrated in the northern half of the impacted area. Rock falls are the most abundant landslide type, but bedrock rotational landslides, translational slides and lateral spreads are also numerous. Surface rupture through mountainous terrain caused several large, and in some cases fatal, landslides. Incipient landslides and ground cracks are also widespread, especially in the north.&nbsp;Lithology, spatial variability of ground shaking, and topographic relief appear to be the main variables controlling the spatial distribution of coseismic landslides. There are few detailed studies of earthquake-triggered landslides in arid and semi-arid regions such as this one, nor for such complex earthquake sequences. Therefore, this contribution provides valuable information for future hazard and modeling efforts in arid and semi-arid regions.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.enggeo.2023.107315","usgsCitation":"Gorum, T., Tanyas, H., Karabacak, F., Yilmaz, A., Girgin, S., Allstadt, K.E., Suzen, M.L., and Burgi, P.M., 2023, Preliminary documentation of coseismic ground failure triggered by the February 6, 2023 Türkiye earthquake sequence: Engineering Geology, v. 327, 107315, 21 p., https://doi.org/10.1016/j.enggeo.2023.107315.","productDescription":"107315, 21 p.","ipdsId":"IP-154196","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":441713,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.enggeo.2023.107315","text":"Publisher Index Page"},{"id":432031,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Türkiye","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              35.932228360842544,\n              35.973045074631955\n            ],\n            [\n              36.32983932448548,\n              36.035276602908866\n            ],\n            [\n              37.86857056743534,\n              36.93821829196732\n            ],\n            [\n              39.69683217133675,\n              38.08156302992195\n            ],\n            [\n              38.989854338718345,\n              38.71377557689037\n            ],\n            [\n              38.469848249680496,\n              38.706777354491024\n            ],\n            [\n              36.898499605659964,\n              37.862404413864304\n            ],\n            [\n              35.469730632443316,\n              36.25972563387165\n            ],\n            [\n              35.932228360842544,\n              35.973045074631955\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"327","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gorum, Tolga 0000-0001-9407-7946","orcid":"https://orcid.org/0000-0001-9407-7946","contributorId":341389,"corporation":false,"usgs":false,"family":"Gorum","given":"Tolga","email":"","affiliations":[{"id":81732,"text":"Eurasia Institute of Earth Sciences, Istanbul Technical University, Istanbul, Türkiye","active":true,"usgs":false}],"preferred":false,"id":908338,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tanyas, Hakan","contributorId":198731,"corporation":false,"usgs":false,"family":"Tanyas","given":"Hakan","affiliations":[],"preferred":false,"id":908339,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Karabacak, Furkan 0000-0001-5838-3196","orcid":"https://orcid.org/0000-0001-5838-3196","contributorId":341390,"corporation":false,"usgs":false,"family":"Karabacak","given":"Furkan","email":"","affiliations":[{"id":81732,"text":"Eurasia Institute of Earth Sciences, Istanbul Technical University, Istanbul, Türkiye","active":true,"usgs":false}],"preferred":false,"id":908340,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yilmaz, Abdussamet 0000-0002-8707-8649","orcid":"https://orcid.org/0000-0002-8707-8649","contributorId":341391,"corporation":false,"usgs":false,"family":"Yilmaz","given":"Abdussamet","email":"","affiliations":[{"id":81732,"text":"Eurasia Institute of Earth Sciences, Istanbul Technical University, Istanbul, Türkiye","active":true,"usgs":false}],"preferred":false,"id":908341,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Girgin, Serkan 0000-0002-0156-185X","orcid":"https://orcid.org/0000-0002-0156-185X","contributorId":341392,"corporation":false,"usgs":false,"family":"Girgin","given":"Serkan","email":"","affiliations":[{"id":81733,"text":"University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC), Enschede, Netherlands","active":true,"usgs":false}],"preferred":false,"id":908342,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Allstadt, Kate E. 0000-0003-4977-5248","orcid":"https://orcid.org/0000-0003-4977-5248","contributorId":138704,"corporation":false,"usgs":true,"family":"Allstadt","given":"Kate","email":"","middleInitial":"E.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":908343,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Suzen, M. Lutfi 0000-0003-0865-2022","orcid":"https://orcid.org/0000-0003-0865-2022","contributorId":341393,"corporation":false,"usgs":false,"family":"Suzen","given":"M.","email":"","middleInitial":"Lutfi","affiliations":[{"id":81734,"text":"Middle East Technical University, Geological Engineering Department, Ankara, Turkey","active":true,"usgs":false}],"preferred":false,"id":908344,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Burgi, Paula Madeline 0000-0003-3001-5759","orcid":"https://orcid.org/0000-0003-3001-5759","contributorId":317875,"corporation":false,"usgs":true,"family":"Burgi","given":"Paula","email":"","middleInitial":"Madeline","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":908345,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70249839,"text":"70249839 - 2023 - Increasing ocean wave energy observed in Earth’s seismic wavefield since the late 20th century","interactions":[],"lastModifiedDate":"2023-11-02T14:33:28.872749","indexId":"70249839","displayToPublicDate":"2023-11-01T09:31:17","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2842,"text":"Nature Communications","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Increasing ocean wave energy observed in Earth’s seismic wavefield since the late 20<sup>th</sup> century","title":"Increasing ocean wave energy observed in Earth’s seismic wavefield since the late 20th century","docAbstract":"<p><span>Ocean waves excite continuous globally observable seismic signals. We use data from 52 globally distributed seismographs to analyze the vertical component primary microseism wavefield at 14–20 s period between the late 1980s and August 2022. This signal is principally composed of Rayleigh waves generated by ocean wave seafloor tractions at less than several hundred meters depth, and is thus a proxy for near-coastal swell activity. Here we show that increasing seismic amplitudes at 3</span><i>σ</i><span>&nbsp;significance occur at 41 (79%) and negative trends occur at 3</span><i>σ</i><span>&nbsp;significance at eight (15%) sites. The greatest absolute increase occurs for the Antarctic Peninsula with respective acceleration amplitude and energy trends ( ± 3</span><i>σ</i><span>) of 0.037 ± 0.008 nm s</span><sup>−2</sup><span>y</span><sup>−1</sup><span>&nbsp;(0.36 ± 0.08% y</span><sup>−1</sup><span>) and 4.16 ± 1.07 nm</span><sup>2</sup><span> s</span><sup>−2</sup><span>y</span><sup>−1</sup><span>&nbsp;(0.58 ± 0.15% y</span><sup>−1</sup><span>), where percentage trends are relative to historical medians. The inferred global mean near-coastal ocean wave energy increase rate is 0.27 ± 0.03% y</span><sup>−1</sup><span>&nbsp;for all data and is 0.35 ± 0.04% y</span><sup>−1</sup><span>&nbsp;since 1 January 2000. Strongly correlated seismic amplitude station histories occur to beyond 50</span><sup><span class=\"stix\">∘</span></sup><span>&nbsp;of separation and show regional-to-global associations with El Niño and La Niña events.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/s41467-023-42673-w","usgsCitation":"Aster, R.C., Ringler, A.T., Anthony, R.E., and Lee, T., 2023, Increasing ocean wave energy observed in Earth’s seismic wavefield since the late 20th century: Nature Communications, v. 14, 6984, 15 p., https://doi.org/10.1038/s41467-023-42673-w.","productDescription":"6984, 15 p.","ipdsId":"IP-154158","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":441717,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41467-023-42673-w","text":"Publisher Index Page"},{"id":422334,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","noUsgsAuthors":false,"publicationDate":"2023-11-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Aster, Richard C. 0000-0002-0821-4906","orcid":"https://orcid.org/0000-0002-0821-4906","contributorId":194410,"corporation":false,"usgs":false,"family":"Aster","given":"Richard","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":887320,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ringler, Adam T. 0000-0002-9839-4188 aringler@usgs.gov","orcid":"https://orcid.org/0000-0002-9839-4188","contributorId":3946,"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":887321,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":887322,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lee, Thomas A.","contributorId":328830,"corporation":false,"usgs":false,"family":"Lee","given":"Thomas A.","affiliations":[],"preferred":false,"id":887323,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70257380,"text":"70257380 - 2023 - Developing a stochastic hydrological model for informing lake water level drawdown management","interactions":[],"lastModifiedDate":"2024-09-04T16:42:02.446596","indexId":"70257380","displayToPublicDate":"2023-11-01T09:17:36","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Developing a stochastic hydrological model for informing lake water level drawdown management","docAbstract":"<p>Winter drawdown (WD) is a common lake management tool for multiple purposes such as flood control, aquatic vegetation reduction, and lake infrastructure maintenance. To minimize adverse impacts to a lake’s ecosystem, regulatory agencies may provide managers with general guidelines for drawdown and refill timing, drawdown magnitude, and outflow limitations. However, there is significant uncertainty associated with the potential to meet management targets due to variability in lake characteristics and hydrometeorology of each lake’s basin, making the use of modeling tools a necessity. In this context, we developed a hydrological modeling framework for lake water level drawdown management (HMF-Lake) and evaluated it at 15 Massachusetts lakes where WDs have been applied over multiple years for vegetation control. HMF-Lake is based on the daily lake water balance, with inflows simulated by a lumped rainfall-runoff model (Cemaneige-GR4J) and outflow rate calculated by a modified Target Storage and Release Based Method (TSRB). The model showed a satisfactory performance of simulating historical water levels (0.53 ≤ NSE ≤ 0.86), however, uncertainties from meteorological inputs and TSRB determined lake outflow rate affected the result accuracy. To account for these uncertainties, the model was executed stochastically to assess the ability of study lakes to follow the Massachusetts’ general WD guidelines: drawdown by Dec 1 and fully refilled by Apr 1. By using the stochastic HMF-Lake, the probabilities of each lake to reach the drawdown level by Dec 1 were calculated for different drawdown magnitudes (1–6 ft). The probability results suggest it was generally less possible for most of study lakes to achieve a drawdown of 3 ft or more by Dec 1. Moreover, we employed the stochastic model to derive the annual latest refill starting dates that ensure a 95 % probability of reaching the normal water level by Apr 1. We found starting a refill in March for drawdowns up to 6 ft was feasible for most of study lakes. These results provide lake managers with a quantitative understanding of the lake’s ability to follow the state guidelines. The model may be used to systematically evaluate current WD management strategies at state or regional scales and support adaptive WD management under changing climates.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2023.118744","usgsCitation":"He, X., Andreadisa, K., Roy, A.H., Kumar, A., and Butler, C., 2023, Developing a stochastic hydrological model for informing lake water level drawdown management: Journal of Environmental Management, v. 345, 118744, 13 p., https://doi.org/10.1016/j.jenvman.2023.118744.","productDescription":"118744, 13 p.","ipdsId":"IP-153469","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":433010,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Leetown","active":true,"usgs":true}],"preferred":true,"id":910195,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kumar, Abhiskek","contributorId":342569,"corporation":false,"usgs":false,"family":"Kumar","given":"Abhiskek","email":"","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":910196,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Butler, Caitlyn","contributorId":316779,"corporation":false,"usgs":false,"family":"Butler","given":"Caitlyn","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":910197,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70249866,"text":"70249866 - 2023 - Spatially interactive modeling of land change identifies location-specific adaptations most likely to lower future flood risk","interactions":[],"lastModifiedDate":"2023-11-02T14:02:20.152878","indexId":"70249866","displayToPublicDate":"2023-11-01T08:51:41","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Spatially interactive modeling of land change identifies location-specific adaptations most likely to lower future flood risk","docAbstract":"<p><span>Impacts of sea level rise will last for centuries; therefore, flood risk modeling must transition from identifying risky locations to assessing how populations can best cope. We present the first spatially interactive (i.e., what happens at one location affects another) land change model (FUTURES 3.0) that can probabilistically predict urban growth while simulating human migration and other responses to flooding, essentially depicting the geography of impact and response. Accounting for human migration reduced total amounts of projected developed land exposed to flooding by 2050 by 5%–24%, depending on flood hazard zone (50%–0.2% annual probability). We simulated various “what-if” scenarios and found managed retreat to be the only intervention with predicted exposure below baseline conditions. In the business-as-usual scenario, existing and future development must be either protected or abandoned to cope with future flooding. Our open framework can be applied to different regions and advances local to regional-scale efforts to evaluate potential risks and tradeoffs.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/s41598-023-46195-9","usgsCitation":"Sanchez, G.M., Petrasova, A., Skrip, M.M., Collins, E., Lawrimore, M.A., Vogler, J.B., Terando, A., Vukomanovic, J., Mitasova, H., and Meentemeyer, R.K., 2023, Spatially interactive modeling of land change identifies location-specific adaptations most likely to lower future flood risk: Scientific Reports, v. 13, 18869, 15 p., https://doi.org/10.1038/s41598-023-46195-9.","productDescription":"18869, 15 p.","ipdsId":"IP-144281","costCenters":[{"id":40926,"text":"Southeast Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":441720,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-023-46195-9","text":"Publisher Index 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University","active":true,"usgs":false}],"preferred":false,"id":887460,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Meentemeyer, Ross K.","contributorId":179341,"corporation":false,"usgs":false,"family":"Meentemeyer","given":"Ross","email":"","middleInitial":"K.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":887461,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70250909,"text":"70250909 - 2023 - Importance of understanding bottom-up control when characterizing geothermal systems","interactions":[],"lastModifiedDate":"2024-01-11T15:06:31.329254","indexId":"70250909","displayToPublicDate":"2023-11-01T08:40:22","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Importance of understanding bottom-up control when characterizing geothermal systems","docAbstract":"Methods designed to identify favorable areas for geothermal resources have traditionally been focused on near-surface information, namely data that can be compiled into a 2D map. However, these methods fail to account for the third dimension: depth. As a result, they do not incorporate deep crustal and mantle features like heat sources. Geophysical methods with multi-scale capabilities, such as magnetotellurics (MT), provide tools to image deeper structures and bottom-up control on location of near surface hydrothermal systems in 3D. This study briefly demonstrates the advantage of understanding bottom-up control on hydrothermal systems to aid assessment and characterization. A regional 3D electrical resistivity model of the Great Basin is developed from MT data that images the near surface down to the mantle. From the 3D model, electrical conductance (depth integrated electrical conductivity) maps are created at logical depth intervals to identify anomalies.  The conductance maps image discrete zones of high-conductance between 15-20 km depth indicative of fluid collection at the brittle-ductile transition; high-conductance zones around Moho depths (30-50 km) suggestive of partial melt; high-conductance zones in the upper mantle indicative of higher temperature and larger melt fraction, and low-conductance zones indicative of lithospheric material descending in the mantle. One anomalous zone of low-conductance in the mantle is under the north central Nevada, suggesting vertical mantle flow transport of heat to the crust related to sinking lithospheric material.","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"Using the Earth to save the Earth (GRC transactions)","largerWorkSubtype":{"id":19,"text":"Conference Paper"},"language":"English","publisher":"Geothermal Resources Council","usgsCitation":"Peacock, J., and Bedrosian, P.A., 2023, Importance of understanding bottom-up control when characterizing geothermal systems, <i>in</i> Using the Earth to save the Earth (GRC transactions), v. 47, p. 1797-1807.","productDescription":"11 p.","startPage":"1797","endPage":"1807","ipdsId":"IP-154701","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":424332,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":424331,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.geothermal-library.org/index.php?mode=pubs&action=view&record=1034877","linkFileType":{"id":5,"text":"html"}}],"volume":"47","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Peacock, Jared R. 0000-0002-0439-0224","orcid":"https://orcid.org/0000-0002-0439-0224","contributorId":210082,"corporation":false,"usgs":true,"family":"Peacock","given":"Jared R.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":892010,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bedrosian, Paul A. 0000-0002-6786-1038 pbedrosian@usgs.gov","orcid":"https://orcid.org/0000-0002-6786-1038","contributorId":839,"corporation":false,"usgs":true,"family":"Bedrosian","given":"Paul","email":"pbedrosian@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":892011,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70250352,"text":"70250352 - 2023 - Geophysical logging For hydrogeology","interactions":[],"lastModifiedDate":"2023-12-05T14:30:08.383686","indexId":"70250352","displayToPublicDate":"2023-11-01T08:27:07","publicationYear":"2023","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":15,"text":"Monograph"},"title":"Geophysical logging For hydrogeology","docAbstract":"<p>Geophysical logging is the measurement and analysis of electrical, acoustic, nuclear, and other physical properties in a borehole using wireline or direct push technology. Geophysical logging is one of the primary methods of collecting subsurface information for hydrogeologic investigations. Groundwater scientists and engineers should have a basic&nbsp;understanding of borehole geophysics and how it is applied in the characterization of aquifer systems.</p><p>In this book, the different types of geophysical logs and equipment used in hydrogeologic investigations are reviewed. Applications and analysis methods are illustrated by specific examples in both unconsolidated deposits and bedrock settings. Key references for further exploration of the methods&nbsp;and applications are provided. Hands-on exercises are included for students to develop and practice log-analysis skills.</p>","language":"English","publisher":"The Groundwater Project","usgsCitation":"Williams, J., and Paillet, F., 2023, Geophysical logging For hydrogeology, 79 p.","productDescription":"79 p.","ipdsId":"IP-130970","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":423241,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":423218,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://gw-project.org/books/geophysical-logging-for-hydrogeology/"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Williams, John 0000-0002-6054-6908 jhwillia@usgs.gov","orcid":"https://orcid.org/0000-0002-6054-6908","contributorId":1553,"corporation":false,"usgs":true,"family":"Williams","given":"John","email":"jhwillia@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":889526,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Paillet, Frederick L.","contributorId":332138,"corporation":false,"usgs":false,"family":"Paillet","given":"Frederick L.","affiliations":[{"id":12608,"text":"USGS, retired","active":true,"usgs":false}],"preferred":false,"id":889527,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70250023,"text":"70250023 - 2023 - Exploring centennial barrier-inlet evolution: Insights from undeveloped and developed phases at Barnegat Inlet, New Jersey","interactions":[],"lastModifiedDate":"2023-11-14T13:02:59.992292","indexId":"70250023","displayToPublicDate":"2023-11-01T07:02:07","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Exploring centennial barrier-inlet evolution: Insights from undeveloped and developed phases at Barnegat Inlet, New Jersey","docAbstract":"This study aims to identify the natural processes and the subsequent responses to coastal engineering and development on the alongshore evolution of the IB-BI-LBI inlet-barrier system. The primary focus will be the quantification of barrier island and inlet sediment partitioning at decadal to centennial timescales, from 1839-1941. We analyze historical alongshore evolution and track coastal engineering efforts at the Island Beach–Barnegat Inlet–Long Beach Island, NJ barrier-inlet system, which has transitioned from natural to highly developed over the past 180 years. We build a quantitative mass-balance framework that tracks sediment reservoir volumes and transport fluxes within the barrier-inlet system to describe both the natural and developed alongshore evolution of this system. We find that minor coastal engineering efforts, including the construction of small-scale wood and stone jetties, not only shift sediment transport locally, but also shift system-wide sediment transport based on inlet-barrier island interactions and sediment partitioning. Better understanding these different modes of past evolution can help to guide coastal management strategies as beach nourishment increases in cost, sea level-rise accelerates, and extreme storm patterns change.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The Proceedings of the Coastal Sediments 2023","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"World Scientific","doi":"10.1142/9789811275135_0130","usgsCitation":"Nichols-O’Neill, S., Lorenzo-Trueba, J., Ciarletta, D.J., and Miselis, J.L., 2023, Exploring centennial barrier-inlet evolution: Insights from undeveloped and developed phases at Barnegat Inlet, New Jersey, <i>in</i> The Proceedings of the Coastal Sediments 2023, p. 1403-1414, https://doi.org/10.1142/9789811275135_0130.","productDescription":"12 p.","startPage":"1403","endPage":"1414","ipdsId":"IP-148130","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":422572,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Jersey","otherGeospatial":"Barnegat Inlet","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -74.15617443689175,\n              39.81674675488196\n            ],\n            [\n              -74.15617443689175,\n              39.71752217758285\n            ],\n            [\n              -74.06965710290756,\n              39.71752217758285\n            ],\n            [\n              -74.06965710290756,\n              39.81674675488196\n            ],\n            [\n              -74.15617443689175,\n              39.81674675488196\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationDate":"2023-03-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Nichols-O’Neill, Shane","contributorId":297142,"corporation":false,"usgs":false,"family":"Nichols-O’Neill","given":"Shane","email":"","affiliations":[{"id":36592,"text":"Montclair State University","active":true,"usgs":false}],"preferred":false,"id":888021,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lorenzo-Trueba, Jorge","contributorId":297143,"corporation":false,"usgs":false,"family":"Lorenzo-Trueba","given":"Jorge","affiliations":[{"id":36592,"text":"Montclair State University","active":true,"usgs":false}],"preferred":false,"id":888022,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ciarletta, Daniel J. 0000-0002-8555-2239","orcid":"https://orcid.org/0000-0002-8555-2239","contributorId":256700,"corporation":false,"usgs":true,"family":"Ciarletta","given":"Daniel","email":"","middleInitial":"J.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":888023,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miselis, Jennifer L. 0000-0002-4925-3979 jmiselis@usgs.gov","orcid":"https://orcid.org/0000-0002-4925-3979","contributorId":3914,"corporation":false,"usgs":true,"family":"Miselis","given":"Jennifer","email":"jmiselis@usgs.gov","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":888024,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70250308,"text":"70250308 - 2023 - Vital sign monitoring is good medicine for parks","interactions":[],"lastModifiedDate":"2023-12-01T12:55:16.553428","indexId":"70250308","displayToPublicDate":"2023-11-01T06:52:31","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3802,"text":"Yellowstone Science","active":true,"publicationSubtype":{"id":10}},"title":"Vital sign monitoring is good medicine for parks","docAbstract":"Nearly 70 years ago a young ranger naturalist working in Yellowstone National Park (YNP), Frederick B. Turner, became fascinated with the abundance of frogs next to his cabin at “Soldier Creek” (known as Lodge Creek today). This interest blossomed into Turner’s PhD research and his publication in 1960 about the local population of Columbia spotted frogs (shown to right) became a classic for herpetologists. Unfortunately, the frog population Turner studied had a less positive future in store. Research by Idaho State University biologists in the 1990s revealed the Lodge Creek population had dwindled by 80%. Now, most of Turner’s study area is bereft of spotted frogs, and the remnant population near Yellowstone Lake is affected by a steep decline in reproduction and frequent disease outbreaks. Meanwhile, amphibian population declines documented worldwide, including in national parks of the western U.S., have become common. In YNP and neighboring Grand Teton National Park, we face the important questions of whether widespread amphibian declines are occurring here and if so, what do they portend. Can amphibians inform us about the health and changing conditions of wetlands in YNP? What are the implications of diminishing wetlands for other water-dependent species? And, more broadly, can amphibian and other living organisms serve as reliable indicators or vital signs for park health? In this issue of Yellowstone Science, we discuss how ecosystem science is taking cues from the medical field by relying on vital sign monitoring programs to assess ecosystem health.","language":"English","publisher":"National Park Service","usgsCitation":"Ray, A.M., Thoma, D.P., Legg, K.L., Diehl, R.H., Sepulveda, A., Tercek, M., and Al-Chokhachy, R., 2023, Vital sign monitoring is good medicine for parks: Yellowstone Science, HTML Document.","productDescription":"HTML Document","ipdsId":"IP-103308","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":423138,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":423131,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.nps.gov/articles/vital-sign-monitoring-is-good-medicine-for-parks.htm"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ray, Andrew M.","contributorId":167601,"corporation":false,"usgs":false,"family":"Ray","given":"Andrew","email":"","middleInitial":"M.","affiliations":[{"id":5106,"text":"National Park Service, Yellowstone National Park, Mammoth, Wyoming 82190","active":true,"usgs":false}],"preferred":false,"id":889388,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thoma, David P.","contributorId":197256,"corporation":false,"usgs":false,"family":"Thoma","given":"David","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":889389,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Legg, Kristin L.","contributorId":332092,"corporation":false,"usgs":false,"family":"Legg","given":"Kristin","email":"","middleInitial":"L.","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":889390,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Diehl, Robert H. 0000-0001-9141-1734 rhdiehl@usgs.gov","orcid":"https://orcid.org/0000-0001-9141-1734","contributorId":3396,"corporation":false,"usgs":true,"family":"Diehl","given":"Robert","email":"rhdiehl@usgs.gov","middleInitial":"H.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":889391,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sepulveda, Adam 0000-0001-7621-7028 asepulveda@usgs.gov","orcid":"https://orcid.org/0000-0001-7621-7028","contributorId":4187,"corporation":false,"usgs":true,"family":"Sepulveda","given":"Adam","email":"asepulveda@usgs.gov","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":889392,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tercek, Mike","contributorId":265910,"corporation":false,"usgs":false,"family":"Tercek","given":"Mike","affiliations":[{"id":54820,"text":"Walking Shadow Ecology","active":true,"usgs":false}],"preferred":false,"id":889393,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Al-Chokhachy, Robert 0000-0002-2136-5098","orcid":"https://orcid.org/0000-0002-2136-5098","contributorId":216703,"corporation":false,"usgs":true,"family":"Al-Chokhachy","given":"Robert","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":889394,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70250481,"text":"70250481 - 2023 - The Arctic Rivers Project: Using an equitable co-production framework for integrating meaningful community engagement and science to understand climate impacts","interactions":[],"lastModifiedDate":"2023-12-13T12:43:35.882553","indexId":"70250481","displayToPublicDate":"2023-11-01T06:38:59","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17107,"text":"Community Science","active":true,"publicationSubtype":{"id":10}},"title":"The Arctic Rivers Project: Using an equitable co-production framework for integrating meaningful community engagement and science to understand climate impacts","docAbstract":"<div class=\"article-section__content en main\"><p>As the Arctic and its rivers continue to warm, a better understanding of the possible future impacts on people would benefit from close partnership with Indigenous communities and scientists from diverse fields of study. We present efforts by the Arctic Rivers Project to conduct community-engaged research to increase collective understanding of the historical and potential future impacts of climate change on rivers, fish, and Indigenous communities. Working in central to northern Alaska and the Yukon Territory in Canada, the project seeks to engage with Indigenous communities in ethical and equitable ways to produces science that is useful, useable, and used that may serve as an example for future research efforts. Toward this goal, we formed an Indigenous Advisory Council and together developed project-specific knowledge co-production protocols. This paper provides a novel model of design and implementation to co-produce knowledge with communities across a large study domain.</p></div>","language":"English","publisher":"Wiley","doi":"10.1029/2022CSJ000024","usgsCitation":"Herman-Mercer, N.M., Andre, A., Buschman, V., Blaskey, D., Brooks, C.M., Cheng, Y., Combs, E., Cozzetto, K., Fitka, S., Koch, J.C., Lawlor, A., Moses, E., Murray, E., Mutter, E., Newman, A., Prince, C., Salmon, P., Tlen, J., Toohey, R.C., Williams, M.L., and Musselman, K., 2023, The Arctic Rivers Project: Using an equitable co-production framework for integrating meaningful community engagement and science to understand climate impacts: Community Science, v. 2, no. 4, e2022CSJ000024, 14, https://doi.org/10.1029/2022CSJ000024.","productDescription":"e2022CSJ000024, 14","ipdsId":"IP-137724","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":37316,"text":"WMA - Integrated Information Dissemination 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Yifan","contributorId":332342,"corporation":false,"usgs":false,"family":"Cheng","given":"Yifan","email":"","affiliations":[{"id":6648,"text":"National Center for Atmospheric Research","active":true,"usgs":false}],"preferred":false,"id":890078,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Combs, Evelynn","contributorId":332343,"corporation":false,"usgs":false,"family":"Combs","given":"Evelynn","email":"","affiliations":[],"preferred":false,"id":890079,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Cozzetto, Karen","contributorId":248474,"corporation":false,"usgs":false,"family":"Cozzetto","given":"Karen","affiliations":[{"id":49926,"text":"Institute for Tribal Environmental Professionals","active":true,"usgs":false}],"preferred":false,"id":890080,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Fitka, 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Alaska","active":true,"usgs":false}],"preferred":false,"id":890086,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Newman, Andrew","contributorId":301078,"corporation":false,"usgs":false,"family":"Newman","given":"Andrew","affiliations":[],"preferred":false,"id":890087,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Prince, Charles","contributorId":332349,"corporation":false,"usgs":false,"family":"Prince","given":"Charles","email":"","affiliations":[],"preferred":false,"id":890088,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Salmon, Patricia","contributorId":332350,"corporation":false,"usgs":false,"family":"Salmon","given":"Patricia","email":"","affiliations":[],"preferred":false,"id":890089,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Tlen, Jenessa","contributorId":332352,"corporation":false,"usgs":false,"family":"Tlen","given":"Jenessa","email":"","affiliations":[],"preferred":false,"id":890090,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Toohey, Ryan C. 0000-0001-8248-5045 rtoohey@usgs.gov","orcid":"https://orcid.org/0000-0001-8248-5045","contributorId":5674,"corporation":false,"usgs":true,"family":"Toohey","given":"Ryan","email":"rtoohey@usgs.gov","middleInitial":"C.","affiliations":[{"id":107,"text":"Alaska Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":890091,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Williams, Michael L.","contributorId":215495,"corporation":false,"usgs":false,"family":"Williams","given":"Michael","email":"","middleInitial":"L.","affiliations":[{"id":37201,"text":"UMass Amherst","active":true,"usgs":false}],"preferred":false,"id":890092,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Musselman, Keith","contributorId":332354,"corporation":false,"usgs":false,"family":"Musselman","given":"Keith","email":"","affiliations":[{"id":36627,"text":"University of Colorado, Boulder","active":true,"usgs":false}],"preferred":false,"id":890093,"contributorType":{"id":1,"text":"Authors"},"rank":21}]}}
,{"id":70250783,"text":"70250783 - 2023 - Moon-forming impactor as a source of Earth’s basal mantle anomalies","interactions":[],"lastModifiedDate":"2024-01-04T12:42:17.371551","indexId":"70250783","displayToPublicDate":"2023-11-01T06:38:16","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2840,"text":"Nature","active":true,"publicationSubtype":{"id":10}},"title":"Moon-forming impactor as a source of Earth’s basal mantle anomalies","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>Seismic images of Earth’s interior have revealed two continent-sized anomalies with low seismic velocities, known as the large low-velocity provinces (LLVPs), in the lowermost mantle<sup></sup>. The LLVPs are often interpreted as intrinsically dense heterogeneities that are compositionally distinct from the surrounding mantle<sup></sup>. Here we show that LLVPs may represent buried relics of Theia mantle material (TMM) that was preserved in proto-Earth’s mantle after the Moon-forming giant impact<sup></sup>. Our canonical giant-impact simulations show that a fraction of Theia’s mantle could have been delivered to proto-Earth’s solid lower mantle. We find that TMM is intrinsically 2.0–3.5% denser than proto-Earth’s mantle based on models of Theia’s mantle and the observed higher FeO content of the Moon. Our mantle convection models show that dense TMM blobs with a size of tens of kilometres after the impact can later sink and accumulate into LLVP-like thermochemical piles atop Earth’s core and survive to the present day. The LLVPs may, thus, be a natural consequence of the Moon-forming giant impact. Because giant impacts are common at the end stages of planet accretion, similar mantle heterogeneities caused by impacts may also exist in the interiors of other planetary bodies.</p></div></div>","language":"English","publisher":"Nature","doi":"10.1038/s41586-023-06589-1","usgsCitation":"Yuan, Q., Li, M., Desch, S.J., Ko, B., Deng, H., Garnero, E.J., Gabriel, T.S., Kegerreis, J.A., Miyazaki, Y., Eke, V., and Asimow, P.D., 2023, Moon-forming impactor as a source of Earth’s basal mantle anomalies: Nature, v. 623, p. 95-99, https://doi.org/10.1038/s41586-023-06589-1.","productDescription":"5 p.","startPage":"95","endPage":"99","ipdsId":"IP-137385","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":424107,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"623","noUsgsAuthors":false,"publicationDate":"2023-11-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Yuan, Qian","contributorId":332936,"corporation":false,"usgs":false,"family":"Yuan","given":"Qian","email":"","affiliations":[{"id":79694,"text":"Arizona State University & California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":891447,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Li, Mingming","contributorId":332937,"corporation":false,"usgs":false,"family":"Li","given":"Mingming","email":"","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":891448,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Desch, Steven J.","contributorId":332938,"corporation":false,"usgs":false,"family":"Desch","given":"Steven","email":"","middleInitial":"J.","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":891449,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ko, Byeongkwan","contributorId":332939,"corporation":false,"usgs":false,"family":"Ko","given":"Byeongkwan","email":"","affiliations":[{"id":79695,"text":"Arizona State University, Michigan State University","active":true,"usgs":false}],"preferred":false,"id":891450,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Deng, Hongping","contributorId":332940,"corporation":false,"usgs":false,"family":"Deng","given":"Hongping","email":"","affiliations":[{"id":79696,"text":"Shanghai Astronomical Observatory","active":true,"usgs":false}],"preferred":false,"id":891451,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Garnero, Edward J.","contributorId":332941,"corporation":false,"usgs":false,"family":"Garnero","given":"Edward","email":"","middleInitial":"J.","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":891452,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gabriel, Travis S.J. 0000-0002-9767-4153","orcid":"https://orcid.org/0000-0002-9767-4153","contributorId":267903,"corporation":false,"usgs":true,"family":"Gabriel","given":"Travis","middleInitial":"S.J.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":891453,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kegerreis, Jacob A.","contributorId":332942,"corporation":false,"usgs":false,"family":"Kegerreis","given":"Jacob","email":"","middleInitial":"A.","affiliations":[{"id":24796,"text":"NASA Ames Research Center","active":true,"usgs":false}],"preferred":false,"id":891454,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Miyazaki, Yoshinori","contributorId":332943,"corporation":false,"usgs":false,"family":"Miyazaki","given":"Yoshinori","email":"","affiliations":[{"id":7218,"text":"California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":891455,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Eke, Vincent","contributorId":332944,"corporation":false,"usgs":false,"family":"Eke","given":"Vincent","email":"","affiliations":[{"id":25252,"text":"Durham University","active":true,"usgs":false}],"preferred":false,"id":891456,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Asimow, Paul D. 0000-0001-6025-8925","orcid":"https://orcid.org/0000-0001-6025-8925","contributorId":332945,"corporation":false,"usgs":false,"family":"Asimow","given":"Paul","email":"","middleInitial":"D.","affiliations":[{"id":7218,"text":"California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":891457,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70256583,"text":"70256583 - 2023 - Evaluating a tandem human-machine approach to labelling of wildlife in remote camera monitoring","interactions":[],"lastModifiedDate":"2024-08-19T17:12:14.545459","indexId":"70256583","displayToPublicDate":"2023-11-01T00:00:00","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1457,"text":"Ecological Informatics","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating a tandem human-machine approach to labelling of wildlife in remote camera monitoring","docAbstract":"<p>Remote cameras (“trail cameras”) are a popular tool for non-invasive, continuous wildlife monitoring, and as they become more prevalent in wildlife research, machine learning (ML) is increasingly used to automate or accelerate the labor-intensive process of labelling (i.e., tagging) photos. Human-machine hybrid tagging approaches have been shown to greatly increase tagging efficiency (i.e., time to tag a single image). However, those potential increases hinge on the extent to which an ML model makes correct vs. incorrect predictions. We performed an experiment using a ML model that produces bounding boxes around animals, people, and vehicles in remote camera imagery (MegaDetector) to consider the impact of a ML model’s performance on its ability to accelerate human labeling. Six participants tagged trail camera images collected from 12 sites in Vermont and Maine, USA (January–September 2022) using three tagging methods (one with ML bounding box assistance and two without assistance). We used a generalized linear mixed model to examine the influence of ML model performance and tagging method on tagging efficiency. We found that ML bounding boxes offer significant improvement in tagging efficiency when labelling data compared to unassisted tagging. Additionally, the time taken to label with bounding boxes was not statistically different from an unassisted tagging approach. However, we found that gains in efficiency are contingent on the ML algorithm’s performance and that incorrect ML predictions, particularly the 4.2% false positive and 3.6% false negative predictions, can slow the tagging process compared to a non-hybrid approach. These findings indicate that although practitioners usually forgo the production of bounding boxes when selecting a data labelling process due to the increased effort, ML bounding box-assisted tagging can offer an efficient method for labeling. More broadly, ML-assisted data labelling offers an opportunity to accelerate the analysis of trail camera imagery, but an assessment of the ML model’s performance can illuminate whether the hybrid-tagging approach is ultimately a help or hinderance.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecoinf.2023.102257","usgsCitation":"Clarfeld, L., Sirén, A., Mulhall, B.M., Wilson, T.L., Bernier, E., Farrell, J., Lunde, G., Hardy, N., Gieder, K.D., Abrams, R., Staats, S., McLellan, S., and Donovan, T.M., 2023, Evaluating a tandem human-machine approach to labelling of wildlife in remote camera monitoring: Ecological Informatics, v. 77, e102257, 9 p., https://doi.org/10.1016/j.ecoinf.2023.102257.","productDescription":"e102257, 9 p.","ipdsId":"IP-154285","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":441728,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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,{"id":70249833,"text":"70249833 - 2023 - A novel boat-based field application of a high-frequency conductometric ammonium analyzer to characterize spatial variation in aquatic ecosystems","interactions":[],"lastModifiedDate":"2023-12-21T14:31:51.192037","indexId":"70249833","displayToPublicDate":"2023-10-31T15:25:02","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7183,"text":"Limnology and Oceanography Methods","active":true,"publicationSubtype":{"id":10}},"title":"A novel boat-based field application of a high-frequency conductometric ammonium analyzer to characterize spatial variation in aquatic ecosystems","docAbstract":"Documenting dissolved inorganic nitrogen (DIN) concentration and form at appropriate temporal and spatial scales is key to understanding aquatic ecosystem health, particularly as DIN fuels primary productivity. In addition to point and non-point source nutrient inputs, factors such as hydrology, geomorphology, temperature, light, and biogeochemical transformations influence nutrient dynamics in surface waters, allowing for the formation of steep spatial gradients and patchiness. Documenting nutrient variability is also necessary to identify sources, quantify transformation rates, and understand drivers. Due to logistical and cost constraints, it is often unfeasible to measure concentrations of nutrients in surface waters using discrete sampling followed by laboratory analysis at a resolution high enough to identify steep spatial gradients and patchiness. Because of these constraints, data generated from discrete sampling are limited in space and time, often missing key variabilities. Recent advancements of in situ nitrate plus nitrite (NO3- and NO2-) sensor technology has enabled highly temporally and spatially resolved NO3- concentration measurements in aquatic ecosystems. However, comparable information about ammonium (NH4+) concentrations remains unavailable. To address this need, U.S. Geological Survey collaborated with Timberline Instruments to modify their commercially available benchtop TL-2800 ammonia analyzer to collect high-frequency continuous (1 unique sample measurement per second) NH4+ concentration measurements at a micromolar (0.5 µM) resolution in flow-through mode while receiving water pumped from a moving boat. Although the utility of this method is described for spatial surveys, we anticipate that it would be adaptable to installation at a fixed station for continuous monitoring of NH4+ concentration.","language":"English","publisher":"Association for the Sciences of Limnology and Oceanography","doi":"10.1002/lom3.10579","usgsCitation":"Richardson, E.T., Hansen, A., Kraus, T.E., Downing, B.D., Forsberg, D., Stillian, J., O’Donnell, K., Sturgeon, C.L., and Bergamaschi, B.A., 2023, A novel boat-based field application of a high-frequency conductometric ammonium analyzer to characterize spatial variation in aquatic ecosystems: Limnology and Oceanography Methods, v. 21, no. 12, p. 761-774, https://doi.org/10.1002/lom3.10579.","productDescription":"14 p.","startPage":"761","endPage":"774","ipdsId":"IP-117787","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":441730,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/lom3.10579","text":"Publisher Index Page"},{"id":422311,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.20848323920738,\n              37.8750433280058\n            ],\n            [\n              -121.07377092901734,\n              37.8750433280058\n            ],\n            [\n              -121.07377092901734,\n              38.640000890410164\n            ],\n            [\n              -122.20848323920738,\n              38.640000890410164\n            ],\n            [\n              -122.20848323920738,\n              37.8750433280058\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"21","issue":"12","noUsgsAuthors":false,"publicationDate":"2023-10-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Richardson, Emily T. 0000-0003-2696-8266","orcid":"https://orcid.org/0000-0003-2696-8266","contributorId":304430,"corporation":false,"usgs":true,"family":"Richardson","given":"Emily","email":"","middleInitial":"T.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":887277,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hansen, Angela 0000-0003-0938-7611 anhansen@usgs.gov","orcid":"https://orcid.org/0000-0003-0938-7611","contributorId":171551,"corporation":false,"usgs":true,"family":"Hansen","given":"Angela","email":"anhansen@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":887278,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kraus, Tamara E. C. 0000-0002-5187-8644 tkraus@usgs.gov","orcid":"https://orcid.org/0000-0002-5187-8644","contributorId":147560,"corporation":false,"usgs":true,"family":"Kraus","given":"Tamara","email":"tkraus@usgs.gov","middleInitial":"E. C.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":887279,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Downing, Bryan D. 0000-0002-2007-5304","orcid":"https://orcid.org/0000-0002-2007-5304","contributorId":294720,"corporation":false,"usgs":false,"family":"Downing","given":"Bryan","email":"","middleInitial":"D.","affiliations":[{"id":24583,"text":"former USGS employee","active":true,"usgs":false}],"preferred":false,"id":887280,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Forsberg, Don","contributorId":331297,"corporation":false,"usgs":false,"family":"Forsberg","given":"Don","email":"","affiliations":[{"id":79180,"text":"Timberline Instruments","active":true,"usgs":false}],"preferred":false,"id":887281,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stillian, John","contributorId":331298,"corporation":false,"usgs":false,"family":"Stillian","given":"John","email":"","affiliations":[{"id":79180,"text":"Timberline Instruments","active":true,"usgs":false}],"preferred":false,"id":887282,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"O’Donnell, Katy 0000-0003-2323-8970 kodonnell@usgs.gov","orcid":"https://orcid.org/0000-0003-2323-8970","contributorId":5640,"corporation":false,"usgs":true,"family":"O’Donnell","given":"Katy","email":"kodonnell@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":887283,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sturgeon, Crystal Lee 0000-0002-1799-9127","orcid":"https://orcid.org/0000-0002-1799-9127","contributorId":302710,"corporation":false,"usgs":true,"family":"Sturgeon","given":"Crystal","email":"","middleInitial":"Lee","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":887284,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bergamaschi, Brian A. 0000-0002-9610-5581 bbergama@usgs.gov","orcid":"https://orcid.org/0000-0002-9610-5581","contributorId":140776,"corporation":false,"usgs":true,"family":"Bergamaschi","given":"Brian","email":"bbergama@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":887285,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70250878,"text":"70250878 - 2023 - Development of small uncrewed aerial systems for multi-instrument geophysical data acquisition in active geothermal systems","interactions":[],"lastModifiedDate":"2024-01-10T14:52:05.527756","indexId":"70250878","displayToPublicDate":"2023-10-31T08:48:22","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Development of small uncrewed aerial systems for multi-instrument geophysical data acquisition in active geothermal systems","docAbstract":"<p>Small Uncrewed Aerial Systems (sUAS) serve as critical platforms for geophysical data collection at an intermediate scale between lower resolution, regional datasets collected via crewed aerial surveys, and high resolution, but spatially sparse sampling of ground-based data collection methods. Advances in sensor design and sUAS capabilities have led to rapid advances in the amount and type of geophysical data that can be acquired using sUAS-based survey designs (Gavazzi et al., 2019). Here we showcase the utility of a single sUAS (the Matrice 600 Pro and accompanying sensor package) that collects magnetic, thermal infra-red (TIR) and gas (CO2, SO2, H2S, water vapor) data for use in geothermal resource exploration and monitoring, with case studies in eastern California and Iceland. The work highlights the flexibility of modern sUAS systems for single-team acquisition of multiple independent but coupled geophysical data which allow for a multidisciplinary approach to geothermal systems research. We summarize the workflows involved in collecting each dataset as well as several common issues encountered both during data collection and data processing.&nbsp;</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"2023 Summit on Drone Geophysics program book","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"2023 Summit on Drone Geophysics","conferenceDate":"October 23-26, 2023","language":"English","publisher":"Society of Exploration Geophysicists","usgsCitation":"Rea-Downing, G.H., Bouligand, C., Glen, J.M., Earney, T.E., Zielinski, L., Anderson, J.E., and Kelly, P.J., 2023, Development of small uncrewed aerial systems for multi-instrument geophysical data acquisition in active geothermal systems, <i>in</i> 2023 Summit on Drone Geophysics program book, October 23-26, 2023, p. 50-51.","productDescription":"2 p.","startPage":"50","endPage":"51","ipdsId":"IP-156555","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":424271,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":424261,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://seg.org/calendar_events/2023-summit-on-drone-geophysics/"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Rea-Downing, Grant Harold 0000-0002-8567-683X","orcid":"https://orcid.org/0000-0002-8567-683X","contributorId":333087,"corporation":false,"usgs":true,"family":"Rea-Downing","given":"Grant","email":"","middleInitial":"Harold","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":891882,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bouligand, Claire","contributorId":240831,"corporation":false,"usgs":false,"family":"Bouligand","given":"Claire","affiliations":[{"id":34188,"text":"University of Grenoble Alpes","active":true,"usgs":false}],"preferred":false,"id":891883,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Glen, Jonathan M.G. 0000-0002-3502-3355 jglen@usgs.gov","orcid":"https://orcid.org/0000-0002-3502-3355","contributorId":176530,"corporation":false,"usgs":true,"family":"Glen","given":"Jonathan","email":"jglen@usgs.gov","middleInitial":"M.G.","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":891884,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Earney, Tait E. 0000-0002-1504-0457","orcid":"https://orcid.org/0000-0002-1504-0457","contributorId":210080,"corporation":false,"usgs":true,"family":"Earney","given":"Tait","email":"","middleInitial":"E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":891885,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zielinski, Laurie A. 0000-0002-9309-9243","orcid":"https://orcid.org/0000-0002-9309-9243","contributorId":333088,"corporation":false,"usgs":false,"family":"Zielinski","given":"Laurie A.","affiliations":[{"id":39657,"text":"Dartmouth College","active":true,"usgs":false}],"preferred":false,"id":891886,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Anderson, Jacob Elliott 0000-0002-0709-2548","orcid":"https://orcid.org/0000-0002-0709-2548","contributorId":329989,"corporation":false,"usgs":true,"family":"Anderson","given":"Jacob","email":"","middleInitial":"Elliott","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":891887,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kelly, Peter J. 0000-0002-3868-1046 pkelly@usgs.gov","orcid":"https://orcid.org/0000-0002-3868-1046","contributorId":5931,"corporation":false,"usgs":true,"family":"Kelly","given":"Peter","email":"pkelly@usgs.gov","middleInitial":"J.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":891888,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70249808,"text":"ofr20231072 - 2023 - U.S. Geological Survey risk research community of practice 2021 workshop report—Workshop on considering equitable engagement in research design","interactions":[],"lastModifiedDate":"2025-02-07T14:36:18.786521","indexId":"ofr20231072","displayToPublicDate":"2023-10-31T08:35:00","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-1072","displayTitle":"U.S. Geological Survey Risk Research Community of Practice 2021 Workshop Report—Workshop on Considering Equitable Engagement in Research Design","title":"U.S. Geological Survey risk research community of practice 2021 workshop report—Workshop on considering equitable engagement in research design","docAbstract":"<p>The U.S. Geological Survey (USGS) Risk Research and Applications Community of Practice (Risk CoP) is a bureau-wide forum to share resources and discuss issues relevant to “conducting and applying scientific research in hazards—the dangerous processes or phenomena that may cause damage—to enhance the reduction of risk—the potential for societally relevant losses caused by hazards” (Ludwig and others, 2018). In 2021, this group held a workshop entitled “Considering Equitable Engagement in Research Design” as a part of its annual meeting. This report is a result of the workshop findings and includes additional input from the Risk CoP, other communities of practice, and subject matter experts across the USGS. The resources described in this report are intended to help guide USGS scientists aiming to include equity into their risk research but can apply to all USGS scientists, regardless of their research focus. This report shares key considerations for equitable engagement as identified by workshop participants, a discussion of the spectrum of engagement in equity-related research, and a toolkit that can help USGS scientists consider how to integrate equity into their work. Although this report is not comprehensive, it does seek to fill a gap that exists at the USGS; at the time of writing, there is no guidance on how to integrate equity into research design. The authors of this report believe that this document can serve as a foundation for future equity-related work at the USGS.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20231072","usgsCitation":"Brooks, E., Pennaz, A., and Jurjonas, M., 2023, U.S. Geological Survey risk research community of practice 2021 workshop report—Workshop on considering equitable engagement in research design: U.S. Geological Survey Open-File Report 2023–1072, 25 p., https://doi.org/10.3133/ofr20231072.","productDescription":"iv, 25 p.","numberOfPages":"25","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-145163","costCenters":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"links":[{"id":422253,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2023/1072/ofr20231072.XML"},{"id":422252,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2023/1072/images/"},{"id":422251,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20231072/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2023-1072 HTML"},{"id":422250,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2023/1072/ofr20231072.pdf","text":"Report","size":"1.10 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2023-1072 PDF"},{"id":422249,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2023/1072/coverthb.jpg"}],"contact":"<p><a href=\"mailto:gs_natural_hazards@usgs.gov\" data-mce-href=\"mailto:gs_natural_hazards@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/special-topics/reducing-risk\" data-mce-href=\"https://www.usgs.gov/special-topics/reducing-risk\">Natural Hazards Mission Area</a><br>U.S. Geological Survey<br>12201 Sunrise Valley Dr.<br>Reston, VA 20192</p>","tableOfContents":"<ul><li>Abstract</li><li>Background</li><li>Section 1. Key Challenges and Considerations for Equitable Engagement Identified by Workshop Participants</li><li>Section 2. Participatory Research Methods and Stakeholder Engagement</li><li>Section 3. Tools in the Equity Toolkit—What Can You Consider?</li><li>Conclusion</li><li>Acknowledgments</li><li>References Cited</li><li>Glossary</li><li>References Cited</li><li>Appendix 1. Agenda of 2021 Risk Community of Practice Workshop on Considering Equitable Engagement in Research Design</li><li>Appendix 2. Additional References and Resources</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2023-10-31","noUsgsAuthors":false,"publicationDate":"2023-10-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Brooks, Emily 0000-0001-5735-369X","orcid":"https://orcid.org/0000-0001-5735-369X","contributorId":301849,"corporation":false,"usgs":true,"family":"Brooks","given":"Emily","email":"","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":887157,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pennaz, Alice","contributorId":350688,"corporation":false,"usgs":true,"family":"Pennaz","given":"Alice","affiliations":[],"preferred":false,"id":887158,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Matthew Jurjonas 0000-0003-1008-639X","orcid":"https://orcid.org/0000-0003-1008-639X","contributorId":331261,"corporation":false,"usgs":false,"family":"Matthew Jurjonas","affiliations":[],"preferred":false,"id":887159,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70249991,"text":"70249991 - 2023 - Decadal shifts in the population growth, regeneration, and health of Taxodium distichum in swamps of the Cache River Watershed, Illinois","interactions":[],"lastModifiedDate":"2023-11-12T13:14:53.661538","indexId":"70249991","displayToPublicDate":"2023-10-31T07:11:31","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2142,"text":"Journal for Nature Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Decadal shifts in the population growth, regeneration, and health of Taxodium distichum in swamps of the Cache River Watershed, Illinois","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif text-s\"><div id=\"ab005\" class=\"abstract author\"><div id=\"as005\"><p id=\"sp0005\"><span>Population projection models based on long-term trends in regeneration and tree survival can be used to predict the future stability of&nbsp;swamp&nbsp;forest species using water management. Population growth and regeneration of a foundational tree species in North American&nbsp;cypress&nbsp;swamps (</span><span><i>Taxodium distichum</i></span><span>) were compared in the Cache River watershed of southern Illinois&nbsp;USA&nbsp;over several decades. This study examined&nbsp;</span><i>T. distichum</i><span>&nbsp;</span>population growth in several regional swamps within the Cache River watershed along a moisture gradient to model growth, stability, or decline based on data of life history stage transitions, using data from the following time periods: the 1990s, 2002–2011, and 2012–2022. Using data from the 1990s,<span>&nbsp;</span><i>T. distichum</i><span>&nbsp;populations in Crawford Tract in Buttonland Swamp were projected to increase over time because of the high frequency of juvenile stages at elevations with growing season drawdown and winter&nbsp;flooding. The situation in Crawford Tract had changed by 2019–2021 because&nbsp;</span><i>T. distichum</i><span>&nbsp;seedlings had not transitioned (i.e., saplings and young trees were absent) although no old-growth trees had died during or after the 1990s. In other regional swamps, projection models were constructed over two decades (2006–2021) along a dry-to-wet flood gradient including Section 8 Woods,&nbsp;Deer&nbsp;Pond, Wildcat Bluff, Snake Hole, and Heron Pond. Populations in swamps on the drier end of the gradient had more support from juvenile stages. In a tree health survey in 2022 within the impounded interior of Buttonland Swamp (not Crawford Tract), seventy percent of the old-growth&nbsp;</span><i>T. distichum</i><span>&nbsp;</span>trees were stressed or declining. Coupled with the fact that no seedlings or saplings were observed, the populations in the interior of the swamp were not stable. Many factors could further stress these ancient<span>&nbsp;</span><i>T. distichum</i><span>&nbsp;</span>including interactions of impoundment with chemicals, disease, and changes in air temperature and precipitation. Overall, the seedling abundance in these swamps increased in these environments from 2012 to 2021, except in the most flooded swamps. From a management perspective, drier conditions were more conducive to the success of the earlier life history stages of<span>&nbsp;</span><i>T. distichum</i><span>&nbsp;</span>in these old-growth forests.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jnc.2023.126500","usgsCitation":"Middleton, B., and Johnson, D., 2023, Decadal shifts in the population growth, regeneration, and health of Taxodium distichum in swamps of the Cache River Watershed, Illinois: Journal for Nature Conservation, v. 76, 126500, 20 p., https://doi.org/10.1016/j.jnc.2023.126500.","productDescription":"126500, 20 p.","ipdsId":"IP-146649","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":435132,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P96DQ0H8","text":"USGS data release","linkHelpText":"Data Release: Buttonland Swamp, seed data"},{"id":422515,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois","otherGeospatial":"Cache River Watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -89.96427676494267,\n              38.04420029755269\n            ],\n            [\n              -89.96427676494267,\n              36.8756685512309\n            ],\n            [\n              -87.83292910869248,\n              36.8756685512309\n            ],\n            [\n              -87.83292910869248,\n              38.04420029755269\n            ],\n            [\n              -89.96427676494267,\n              38.04420029755269\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"76","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Middleton, Beth 0000-0002-1220-2326","orcid":"https://orcid.org/0000-0002-1220-2326","contributorId":222689,"corporation":false,"usgs":true,"family":"Middleton","given":"Beth","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":887912,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Darren 0000-0002-0502-6045","orcid":"https://orcid.org/0000-0002-0502-6045","contributorId":203921,"corporation":false,"usgs":true,"family":"Johnson","given":"Darren","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":887913,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70249954,"text":"70249954 - 2023 - Trade-offs in adapting to changes in climate, land use, and water availability in California","interactions":[],"lastModifiedDate":"2023-11-08T13:10:34.648155","indexId":"70249954","displayToPublicDate":"2023-10-31T07:08:47","publicationYear":"2023","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":"Trade-offs in adapting to changes in climate, land use, and water availability in California","docAbstract":"Changes in land use and land cover, water systems, and climate are inextricably linked, and their combined stresses have had severe impacts in many regions worldwide. Integrated adaptation planning can support adaptive capacity by helping institutions manage land and water resources at regional to local scales. Linkages between these stressors mean that planners are often faced with potential trade-offs, and how to couple social and environmental sustainability remains a key question. We explore these questions in California’s Central Coast, a region that is already experiencing serious water shortages, housing shortages, rapid expansion of perennial agriculture, and severe droughts that are projected to become worse with climate change. Linked models of land use change (the Land Use and Carbon + Water Simulator [LUCAS-W]), water resources (LUCAS-W), and climate (the Basin Characterization Model [BCM]) produced forecasts of exposure to regional changes at 270-m resolution. We worked with regional stakeholders to develop a matrix of nine vulnerability measures that assessed key sensitivities to these changes. Each vulnerability measure combined one of the three exposure projections with spatial datasets representing one of three sensitivity communities (agricultural, domestic, or ecological). We assessed how five scenarios of land-use and water management strategies under consideration by regional planners could provide institutional, top-down adaptive capacity, and whether there were trade-offs in sustainable development goals for these communities. We found that specific land and water management strategies could greatly reduce regional vulnerability, particularly programs to cap water extractions to sustainable levels. The most dramatic trade-off was between the strategy of water demand caps that increased risk of habitat loss and ecosystem preservation that increased water vulnerability. However, trade-offs were usually limited and spatially localized, suggesting local tailoring of the strategies we assessed could reduce them. Trade-offs were more frequent across exposure classes (land use vs. water vs. climate changes) rather than sensitivity classes (agricultural vs. domestic vs. ecological communities), suggesting win-win opportunities for natural resource management. Our vulnerability maps can inform prioritization efforts for local adaptation planning.","language":"English","publisher":"Resilience Alliance","doi":"10.5751/ES-14261-280409","usgsCitation":"Van Schmidt, N.D., Wilson, T., Flint, L.E., and Langridge, R., 2023, Trade-offs in adapting to changes in climate, land use, and water availability in California: Ecology and Society, v. 28, no. 4, 9, 61 p., https://doi.org/10.5751/ES-14261-280409.","productDescription":"9, 61 p.","ipdsId":"IP-147802","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":441733,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5751/es-14261-280409","text":"Publisher Index Page"},{"id":435133,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9XQVEL4","text":"USGS data release","linkHelpText":"Agricultural, domestic, and ecological vulnerability of California's Central Coast to projected changes in land-use, water sustainability, and climate by 2061 under five scenarios"},{"id":422452,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -121.46603329605212,\n              35.95656762627986\n            ],\n            [\n              -121.46603329605212,\n              34.0944197674509\n            ],\n            [\n              -118.01632626480222,\n              34.0944197674509\n            ],\n            [\n              -118.01632626480222,\n              35.95656762627986\n            ],\n            [\n              -121.46603329605212,\n              35.95656762627986\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"28","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Van Schmidt, Nathan D. 0000-0002-5973-7934","orcid":"https://orcid.org/0000-0002-5973-7934","contributorId":240648,"corporation":false,"usgs":false,"family":"Van Schmidt","given":"Nathan","middleInitial":"D.","affiliations":[{"id":32898,"text":"U.C. Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":887801,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilson, Tamara 0000-0001-7399-7532 tswilson@usgs.gov","orcid":"https://orcid.org/0000-0001-7399-7532","contributorId":2975,"corporation":false,"usgs":true,"family":"Wilson","given":"Tamara","email":"tswilson@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":887802,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Flint, Lorraine E. 0000-0002-7868-441X","orcid":"https://orcid.org/0000-0002-7868-441X","contributorId":306090,"corporation":false,"usgs":false,"family":"Flint","given":"Lorraine","email":"","middleInitial":"E.","affiliations":[{"id":66369,"text":"Earth Knowledge, Inc.","active":true,"usgs":false}],"preferred":false,"id":887803,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Langridge, R. 0000-0002-1036-4559","orcid":"https://orcid.org/0000-0002-1036-4559","contributorId":306091,"corporation":false,"usgs":false,"family":"Langridge","given":"R.","email":"","affiliations":[{"id":27155,"text":"University of California Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":887804,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70251061,"text":"70251061 - 2023 - The dynamic influence of subsurface geological processes on the assembly and diversification of thermophilic microbial communities in continental hydrothermal systems","interactions":[],"lastModifiedDate":"2024-01-19T13:17:56.067747","indexId":"70251061","displayToPublicDate":"2023-10-31T07:07:20","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"title":"The dynamic influence of subsurface geological processes on the assembly and diversification of thermophilic microbial communities in continental hydrothermal systems","docAbstract":"<p>An accepted paradigm of hydrothermal systems is the process of phase separation, or boiling, of a deep, homogeneous hydrothermal fluid as it ascends through the subsurface resulting in gas rich and gas poor fluids. While phase separation helps to explain first-order patterns in the chemistry and biology of a hot spring’s surficial expression, we know little about the subsurface architecture beneath “phase-separated” pools and the timescales over which phase separation processes occur. Essentially, we have a two-dimensional understanding of a four-dimensional process. By combining geophysical, geochemical, isotopic, and microbiological measurements of two adjacent phase-separated hot springs in Norris Geyser Basin, Yellowstone National Park, we provide a four-dimensional assessment of phase separation processes and their biological manifestation. We uniquely show that Yellowstone’s hydrothermal waters originate from a deep sedimentary aquifer and that both meteoric recharge and shallow reactive transport processes are required to establish the geobiological feedbacks that drive bimodal distributions in the geochemical and microbial composition of hot springs. Specifically, over periods of tens of years, gas-enriched fluids containing volcanic sulfide mix with meteoric waters resulting in microbially-mediated production of sulfuric acid by thermoacidophilic Archaea in the near subsurface. In contrast, over periods of hundreds of years, anoxic residual liquid rises to the surface where it is infused with atmospheric gas fostering Archaea and Bacteria that are largely dependent on oxygen. As such, our results provide formative insight into the causative links between subsurface geological processes, the development of geochemical fluids, and the assembly and diversification of thermophilic microbial communities in hydrothermal systems.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2023.10.021","usgsCitation":"Sims, K.W., Messa, C.M., Scott, S.R., Parsekian, A.D., Miller, A., Role, A.L., Moloney, T.P., Shock, E., Lowenstern, J.B., McCleskey, R.B., Charette, M.A., Carr, B., Pasquet, S., Heasler, H., Jaworowski, C., Holbrook, W.S., Lindsay, M.R., Colman, D.R., and Boyd, E., 2023, The dynamic influence of subsurface geological processes on the assembly and diversification of thermophilic microbial communities in continental hydrothermal systems: Geochimica et Cosmochimica Acta, v. 362, p. 77-103, https://doi.org/10.1016/j.gca.2023.10.021.","productDescription":"27 p.","startPage":"77","endPage":"103","ipdsId":"IP-130147","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"links":[{"id":467080,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.osti.gov/biblio/2204317","text":"Publisher Index Page"},{"id":424618,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Yellowstone National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -111.38912764649503,\n              45.16940219580022\n            ],\n            [\n              -111.38912764649503,\n              42.71770746125691\n            ],\n            [\n              -107.8954753027455,\n              42.71770746125691\n            ],\n            [\n              -107.8954753027455,\n              45.16940219580022\n            ],\n            [\n              -111.38912764649503,\n              45.16940219580022\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"362","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sims, Kenneth W.W.","contributorId":333499,"corporation":false,"usgs":false,"family":"Sims","given":"Kenneth","email":"","middleInitial":"W.W.","affiliations":[],"preferred":false,"id":892921,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Messa, Cole M.","contributorId":333504,"corporation":false,"usgs":false,"family":"Messa","given":"Cole","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":892953,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scott, Sean R","contributorId":292237,"corporation":false,"usgs":false,"family":"Scott","given":"Sean","email":"","middleInitial":"R","affiliations":[{"id":17815,"text":"Wisconsin State Laboratory of Hygiene","active":true,"usgs":false}],"preferred":false,"id":892954,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Parsekian, Andrew D","contributorId":199727,"corporation":false,"usgs":false,"family":"Parsekian","given":"Andrew","email":"","middleInitial":"D","affiliations":[],"preferred":false,"id":892955,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Miller, Andrew","contributorId":200717,"corporation":false,"usgs":false,"family":"Miller","given":"Andrew","affiliations":[],"preferred":false,"id":892956,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Role, Abraham L.","contributorId":333505,"corporation":false,"usgs":false,"family":"Role","given":"Abraham","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":892957,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Moloney, Timothy P.","contributorId":333506,"corporation":false,"usgs":false,"family":"Moloney","given":"Timothy","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":892958,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Shock, Everett L.","contributorId":333507,"corporation":false,"usgs":false,"family":"Shock","given":"Everett L.","affiliations":[],"preferred":false,"id":892959,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lowenstern, Jacob B. 0000-0003-0464-7779 jlwnstrn@usgs.gov","orcid":"https://orcid.org/0000-0003-0464-7779","contributorId":2755,"corporation":false,"usgs":true,"family":"Lowenstern","given":"Jacob","email":"jlwnstrn@usgs.gov","middleInitial":"B.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":892960,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"McCleskey, R. Blaine 0000-0002-2521-8052 rbmccles@usgs.gov","orcid":"https://orcid.org/0000-0002-2521-8052","contributorId":147399,"corporation":false,"usgs":true,"family":"McCleskey","given":"R.","email":"rbmccles@usgs.gov","middleInitial":"Blaine","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":892961,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Charette, Matthew A.","contributorId":92355,"corporation":false,"usgs":true,"family":"Charette","given":"Matthew","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":892962,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Carr, Bradley","contributorId":175482,"corporation":false,"usgs":false,"family":"Carr","given":"Bradley","email":"","affiliations":[{"id":17842,"text":"University of Wyoming, Laramie","active":true,"usgs":false}],"preferred":false,"id":892963,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Pasquet, Sylvain","contributorId":175484,"corporation":false,"usgs":false,"family":"Pasquet","given":"Sylvain","email":"","affiliations":[],"preferred":false,"id":892964,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Heasler, Henry","contributorId":62683,"corporation":false,"usgs":true,"family":"Heasler","given":"Henry","affiliations":[],"preferred":false,"id":892965,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Jaworowski, Cheryl","contributorId":25989,"corporation":false,"usgs":true,"family":"Jaworowski","given":"Cheryl","affiliations":[],"preferred":false,"id":892966,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Holbrook, W. Steven","contributorId":175481,"corporation":false,"usgs":false,"family":"Holbrook","given":"W.","email":"","middleInitial":"Steven","affiliations":[],"preferred":false,"id":892967,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Lindsay, Melody R.","contributorId":333508,"corporation":false,"usgs":false,"family":"Lindsay","given":"Melody","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":892968,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Colman, Daniel R. 0000-0002-3253-6833","orcid":"https://orcid.org/0000-0002-3253-6833","contributorId":299802,"corporation":false,"usgs":false,"family":"Colman","given":"Daniel","email":"","middleInitial":"R.","affiliations":[{"id":64955,"text":"Department of Microbiology and Cell Biology, Montana State University","active":true,"usgs":false}],"preferred":false,"id":892969,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Boyd, Eric S. 0000-0003-4436-5856","orcid":"https://orcid.org/0000-0003-4436-5856","contributorId":299804,"corporation":false,"usgs":false,"family":"Boyd","given":"Eric S.","affiliations":[{"id":64955,"text":"Department of Microbiology and Cell Biology, Montana State University","active":true,"usgs":false}],"preferred":false,"id":892970,"contributorType":{"id":1,"text":"Authors"},"rank":19}]}}
,{"id":70250044,"text":"70250044 - 2023 - Incremental evolution of modeling a prognosis for polar bears in a rapidly changing Arctic","interactions":[],"lastModifiedDate":"2023-11-15T12:53:40.380883","indexId":"70250044","displayToPublicDate":"2023-10-31T06:52:03","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Incremental evolution of modeling a prognosis for polar bears in a rapidly changing Arctic","docAbstract":"<div id=\"ab015\" class=\"abstract author\"><div id=\"as015\"><p id=\"sp0015\">Updating predictions of the response of high-profile, at-risk species to climate change and anthropogenic stressors is vital for informing effective conservation action. Here, we review two prior generations of Bayesian network probability models predicting changes in global polar bear (<i>Ursus maritimus</i>) population status, and provide a contemporary update based on recent research findings and sea-ice projections by newer climate models. We compare predictions of polar bear population response from all 3 models among four circumpolar Arctic ecoregions, using sea ice projections based on three IPCC greenhouse gas emissions scenarios (SSP2.6, 4.5, 8.5). Consistent with the previous two model generations, polar bears will continue to experience increasing probability of declining or greatly declining populations throughout the 21st century, varying by emission scenario. Populations within the Polar Basin Divergent Ice Ecoregion have the highest predicted probability of declines, but predictions were slightly less dire relative to the previous model generation. Most of the influence, denoted by model sensitivity analysis, is from expected degradation and loss of sea ice and reduced access to marine prey. The lack of terrestrial prey adequate to substitute for loss of access to marine prey, as well as human-caused bear morality associated with hunting and defense of life and property encountered when polar bears are increasingly forced ashore also contributed to predicted declines. Although some tidewater glacial fjords and other localized onshore resources may provide local refugia, their benefit is transient. Our findings continue to inform priorities for inventory, monitoring, and research needs, and suggest that similar updates to models of other at-risk species can capitalize on the comparison framework we present here.</p></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2023.111130","usgsCitation":"Marcot, B.G., Atwood, T.C., Douglas, D.C., Bromaghin, J.F., Pagano, A.M., and Amstrup, S.C., 2023, Incremental evolution of modeling a prognosis for polar bears in a rapidly changing Arctic: Ecological Indicators, v. 156, 111130, 9 p., https://doi.org/10.1016/j.ecolind.2023.111130.","productDescription":"111130, 9 p.","ipdsId":"IP-154001","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":441737,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolind.2023.111130","text":"Publisher Index Page"},{"id":422615,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"156","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Marcot, Bruce G.","contributorId":152612,"corporation":false,"usgs":false,"family":"Marcot","given":"Bruce","email":"","middleInitial":"G.","affiliations":[{"id":18944,"text":"Pacific Northwest Research Station, USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":888126,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Atwood, Todd C. 0000-0002-1971-3110 tatwood@usgs.gov","orcid":"https://orcid.org/0000-0002-1971-3110","contributorId":4368,"corporation":false,"usgs":true,"family":"Atwood","given":"Todd","email":"tatwood@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":888127,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Douglas, David C. 0000-0003-0186-1104 ddouglas@usgs.gov","orcid":"https://orcid.org/0000-0003-0186-1104","contributorId":2388,"corporation":false,"usgs":true,"family":"Douglas","given":"David","email":"ddouglas@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":888128,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bromaghin, Jeffrey F. 0000-0002-7209-9500 jbromaghin@usgs.gov","orcid":"https://orcid.org/0000-0002-7209-9500","contributorId":139899,"corporation":false,"usgs":true,"family":"Bromaghin","given":"Jeffrey","email":"jbromaghin@usgs.gov","middleInitial":"F.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":888129,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pagano, Anthony M. 0000-0003-2176-0909 apagano@usgs.gov","orcid":"https://orcid.org/0000-0003-2176-0909","contributorId":3884,"corporation":false,"usgs":true,"family":"Pagano","given":"Anthony","email":"apagano@usgs.gov","middleInitial":"M.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":888130,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Amstrup, Steven C.","contributorId":67034,"corporation":false,"usgs":false,"family":"Amstrup","given":"Steven","email":"","middleInitial":"C.","affiliations":[{"id":13182,"text":"Polar Bears International","active":true,"usgs":false}],"preferred":false,"id":888131,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70249949,"text":"70249949 - 2023 - Leveraging machine learning to automate regression model evaluations for large multi-site water-quality trend studies","interactions":[],"lastModifiedDate":"2023-11-08T12:52:50.213706","indexId":"70249949","displayToPublicDate":"2023-10-31T06:51:43","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7599,"text":"Environmental Modeling and Software","active":true,"publicationSubtype":{"id":10}},"title":"Leveraging machine learning to automate regression model evaluations for large multi-site water-quality trend studies","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif text-s\"><div id=\"abs0010\" class=\"abstract author\" lang=\"en\"><div id=\"abssec0010\"><p id=\"abspara0010\">Large multi-site trend studies provide an opportunity to evaluate progress of waterbodies towards water-quality goals across broad geographic areas. Such studies often aggregate the results of site-specific models and thus contend with evaluating each model for appropriate fit and statistical assumptions. We explored the use of four traditional machine learning models (logistic regression, linear and quadratic discriminant analysis, and k-nearest neighbors) to perform these checks and estimate probabilities that an analyst would publish or reject a site-specific trend model from a multi-site study. We trained these “model-checking models” (MCMs) using a national study of over 6000 trend models and tested the MCMs using a smaller set of novel trend models. Although the MCMs did not perform well enough to bypass analyst review entirely, we found incorporating an MCM into a larger evaluation workflow can reduce the number of trend models needing an analyst review by more than half.</p></div></div></div><ul id=\"issue-navigation\" class=\"issue-navigation u-margin-s-bottom u-bg-grey1\"></ul>","language":"English","publisher":"Elsevier","doi":"10.1016/j.envsoft.2023.105864","usgsCitation":"Murphy, J.C., and Chanat, J.G., 2023, Leveraging machine learning to automate regression model evaluations for large multi-site water-quality trend studies: Environmental Modeling and Software, v. 170, 105864, 11 p., https://doi.org/10.1016/j.envsoft.2023.105864.","productDescription":"105864, 11 p.","ipdsId":"IP-154037","costCenters":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":441739,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.envsoft.2023.105864","text":"Publisher Index Page"},{"id":435134,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9GNEN8S","text":"USGS data release","linkHelpText":"Data to support Leveraging machine learning to automate regression model evaluations for large multi-site water-quality trend studies"},{"id":422447,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"170","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Murphy, Jennifer C. 0000-0002-0881-0919 jmurphy@usgs.gov","orcid":"https://orcid.org/0000-0002-0881-0919","contributorId":4281,"corporation":false,"usgs":true,"family":"Murphy","given":"Jennifer","email":"jmurphy@usgs.gov","middleInitial":"C.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":887781,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chanat, Jeffrey G. 0000-0002-3629-7307 jchanat@usgs.gov","orcid":"https://orcid.org/0000-0002-3629-7307","contributorId":5062,"corporation":false,"usgs":true,"family":"Chanat","given":"Jeffrey","email":"jchanat@usgs.gov","middleInitial":"G.","affiliations":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":887782,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70249820,"text":"70249820 - 2023 - Critical minerals for a carbon-neutral future","interactions":[],"lastModifiedDate":"2023-10-31T11:52:05.063948","indexId":"70249820","displayToPublicDate":"2023-10-31T06:31:38","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7602,"text":"Eos, American Geophysical Union","active":true,"publicationSubtype":{"id":10}},"title":"Critical minerals for a carbon-neutral future","docAbstract":"The Earth Mapping Resources Initiative is filling data gaps and fostering more holistic understanding of critical mineral resources in the United States using a novel mineral systems framework.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2023EO230403","usgsCitation":"Kreiner, D.C., Hammarstrom, J.M., and Day, W.C., 2023, Critical minerals for a carbon-neutral future: Eos, American Geophysical Union, v. 104, HTML page, 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,{"id":70274317,"text":"70274317 - 2023 - Networks of tree-ring based streamflow reconstructions for the Pacific Northwest, U.S.A","interactions":[],"lastModifiedDate":"2026-03-26T15:31:40.785954","indexId":"70274317","displayToPublicDate":"2023-10-31T00:00:00","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Networks of tree-ring based streamflow reconstructions for the Pacific Northwest, U.S.A","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Water resources in the Pacific Northwest (PNW) are characterized by significant interannual to interdecadal variation. Paleo-proxy reconstructions such as those derived from tree-rings provide longer-term context and supplement information on this expected range of variability, which can improve planning, management, and response related to extreme events and hydrologic change. However, existing paleo-proxy reconstructions have yet to address the potential for pronounced within- and among-basin variations in the PNW due to a lack of spatial coverage. Here we develop methodologically consistent reconstructions for 36 gages in the PNW, including the Columbia and Snake River drainages, as well as key coastal watersheds. These reconstructions extend back at least to the 1500s coefficient of efficiency. Reconstruction skill is relatively high (mean&nbsp;</span><i>R</i><sup>2</sup><span>&nbsp;=&nbsp;0.63), and snowpack- or winter precipitation-sensitive chronologies from high-elevation sites provide important contributions to reconstruction skill. At the whole-region scale, reconstructed variability indicates evidence for drier and wetter years, more persistent decadal variability, and correspondingly longer episodes of deficit and surplus compared to instrumental records. Within the region, this expanded range of extremes appears especially prevalent in the Snake River and southern PNW watersheds. Regionally, cumulative deficits in the early 1500s and mid 1600s rival those of the early 20</span><sup>th</sup><span>&nbsp;century, though persistence and timing vary widely among basins. These reconstructions suggest that considering within-region variability will be key for water management and planning under climate change, and that sub-regional adaptation strategies are likely to be advantageous.</span></span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2023WR035255","usgsCitation":"Littell, J.S., Pederson, G.T., Martin, J.T., and Gray, S.T., 2023, Networks of tree-ring based streamflow reconstructions for the Pacific Northwest, U.S.A: Water Resources Research, v. 59, no. 11, e2023WR035255, 19 p., https://doi.org/10.1029/2023WR035255.","productDescription":"e2023WR035255, 19 p.","ipdsId":"IP-157562","costCenters":[{"id":49028,"text":"Alaska Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":501606,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2023wr035255","text":"Publisher Index Page"},{"id":501578,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Pacific Northwest","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -117.71989106589547,\n              51.23952552193842\n            ],\n            [\n              -119.80255789994311,\n              50.58241223780449\n            ],\n            [\n              -120.03798004087265,\n              48.335839842710136\n            ],\n            [\n              -124.01371557903101,\n              45.96848992109024\n            ],\n            [\n              -123.89678202651015,\n              43.17034661083997\n            ],\n            [\n              -117.55123466152142,\n              43.759998649017774\n            ],\n            [\n              -116.75453238797795,\n              41.1626488502026\n            ],\n            [\n              -107.8814009064086,\n              41.44779467194607\n            ],\n            [\n              -111.20892445986055,\n              45.51412922045732\n            ],\n            [\n              -113.15663189749853,\n              52.616945225148044\n            ],\n            [\n              -114.23620971604478,\n              53.31116037143961\n            ],\n            [\n              -117.71989106589547,\n              51.23952552193842\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"59","issue":"11","noUsgsAuthors":false,"publicationDate":"2023-10-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Littell, Jeremy S. 0000-0002-5302-8280","orcid":"https://orcid.org/0000-0002-5302-8280","contributorId":205907,"corporation":false,"usgs":true,"family":"Littell","given":"Jeremy","middleInitial":"S.","affiliations":[{"id":107,"text":"Alaska Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":957851,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pederson, Gregory T. 0000-0002-6014-1425 gpederson@usgs.gov","orcid":"https://orcid.org/0000-0002-6014-1425","contributorId":3106,"corporation":false,"usgs":true,"family":"Pederson","given":"Gregory","email":"gpederson@usgs.gov","middleInitial":"T.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":957852,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Martin, Justin T. 0000-0002-3523-6596","orcid":"https://orcid.org/0000-0002-3523-6596","contributorId":215418,"corporation":false,"usgs":true,"family":"Martin","given":"Justin","middleInitial":"T.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":957853,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gray, Stephen T. 0000-0002-0959-3418 sgray@usgs.gov","orcid":"https://orcid.org/0000-0002-0959-3418","contributorId":209851,"corporation":false,"usgs":true,"family":"Gray","given":"Stephen","email":"sgray@usgs.gov","middleInitial":"T.","affiliations":[{"id":107,"text":"Alaska Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":957854,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
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