{"pageNumber":"347","pageRowStart":"8650","pageSize":"25","recordCount":184769,"records":[{"id":70236977,"text":"fs20223070 - 2022 - Assessment of undiscovered conventional oil and gas resources of the Volga-Ural Basin and Timan-Pechora Basin Provinces of Russia, 2020","interactions":[],"lastModifiedDate":"2022-09-28T21:12:57.082748","indexId":"fs20223070","displayToPublicDate":"2022-09-27T12:05:00","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2022-3070","displayTitle":"Assessment of Undiscovered Conventional Oil and Gas Resources of the Volga-Ural Basin and Timan-Pechora Basin Provinces of Russia, 2020","title":"Assessment of undiscovered conventional oil and gas resources of the Volga-Ural Basin and Timan-Pechora Basin Provinces of Russia, 2020","docAbstract":"

Using a geology-based assessment methodology, the U.S. Geological Survey estimated undiscovered, technically recoverable mean conventional resources of 4.9 billion barrels of oil and 21 trillion cubic feet of gas within the Volga-Ural Basin Province and technically recoverable mean conventional resources of 1.8 billion barrels of oil and 9.5 trillion cubic of gas in the Timan-Pechora Basin Province, Russia.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/fs20223070","usgsCitation":"Schenk, C.J., Mercier, T.J., Ellis, G.S., Woodall, C.A., Finn, T.M., Tennyson, M.E., Le, P.A., Leathers-Miller, H.M., and Drake, R.M., II, 2022, Assessment of undiscovered conventional oil and gas resources of the Volga-Ural Basin and Timan-Pechora Basin Provinces of Russia, 2020: U.S. Geological Survey Fact Sheet 2022–3070, 2 p., https://doi.org/10.3133/fs20223070.","productDescription":"Report: 2 p.; Data Release","onlineOnly":"Y","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":407292,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P98J8PN3","text":"USGS data release","linkHelpText":"USGS National and Global Oil and Gas Assessment Project-Volga-Ural Basin and Timan-Pechora Basin Provinces of Russia: Assessment Unit Boundaries, Assessment Input Data, and Fact Sheet Data Tables"},{"id":407291,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2022/3070/fs20223070.pdf","text":"Report","size":"9.03 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2022-3070"},{"id":407290,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2022/3070/coverthb.jpg"}],"country":"Russia","otherGeospatial":"Timan-Pechora Basin, Volga-Ural Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 72,\n 46\n ],\n [\n 34,\n 46\n ],\n [\n 34,\n 72\n ],\n [\n 72,\n 72\n ],\n [\n 72,\n 46\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver, CO 80225-0046

","tableOfContents":"","publishedDate":"2022-09-27","noUsgsAuthors":false,"publicationDate":"2022-09-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Schenk, Christopher J. 0000-0002-0248-7305 schenk@usgs.gov","orcid":"https://orcid.org/0000-0002-0248-7305","contributorId":826,"corporation":false,"usgs":true,"family":"Schenk","given":"Christopher","email":"schenk@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":852884,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mercier, Tracey J. 0000-0002-8232-525X tmercier@usgs.gov","orcid":"https://orcid.org/0000-0002-8232-525X","contributorId":2847,"corporation":false,"usgs":true,"family":"Mercier","given":"Tracey","email":"tmercier@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":852885,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ellis, Geoffrey S. 0000-0003-4519-3320 gsellis@usgs.gov","orcid":"https://orcid.org/0000-0003-4519-3320","contributorId":1058,"corporation":false,"usgs":true,"family":"Ellis","given":"Geoffrey","email":"gsellis@usgs.gov","middleInitial":"S.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":852886,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Woodall, Cheryl A. 0000-0002-4844-5768 cwoodall@usgs.gov","orcid":"https://orcid.org/0000-0002-4844-5768","contributorId":194924,"corporation":false,"usgs":true,"family":"Woodall","given":"Cheryl","email":"cwoodall@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":852887,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Finn, Thomas M. 0000-0001-6396-9351 finn@usgs.gov","orcid":"https://orcid.org/0000-0001-6396-9351","contributorId":778,"corporation":false,"usgs":true,"family":"Finn","given":"Thomas","email":"finn@usgs.gov","middleInitial":"M.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":852888,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tennyson, Marilyn E. 0000-0002-5166-2421 tennyson@usgs.gov","orcid":"https://orcid.org/0000-0002-5166-2421","contributorId":176582,"corporation":false,"usgs":true,"family":"Tennyson","given":"Marilyn","email":"tennyson@usgs.gov","middleInitial":"E.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":852889,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Le, Phuong A. 0000-0003-2477-509X ple@usgs.gov","orcid":"https://orcid.org/0000-0003-2477-509X","contributorId":150418,"corporation":false,"usgs":true,"family":"Le","given":"Phuong","email":"ple@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":852890,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Leathers-Miller, Heidi M. 0000-0001-5208-9906 hleathers@usgs.gov","orcid":"https://orcid.org/0000-0001-5208-9906","contributorId":150419,"corporation":false,"usgs":true,"family":"Leathers-Miller","given":"Heidi","email":"hleathers@usgs.gov","middleInitial":"M.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":852891,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Drake, Ronald M. II 0000-0002-1770-4667 rmdrake@usgs.gov","orcid":"https://orcid.org/0000-0002-1770-4667","contributorId":1353,"corporation":false,"usgs":true,"family":"Drake","given":"Ronald","suffix":"II","email":"rmdrake@usgs.gov","middleInitial":"M.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":852892,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70256621,"text":"70256621 - 2022 - Hydrologic and environmental thresholds in stream fish assemblage structure across flow regimes","interactions":[],"lastModifiedDate":"2024-08-27T14:56:59.249872","indexId":"70256621","displayToPublicDate":"2022-09-27T09:52:34","publicationYear":"2022","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":"Hydrologic and environmental thresholds in stream fish assemblage structure across flow regimes","docAbstract":"

The characteristic pattern of variation in flow magnitude, frequency, duration, timing, and rate of change defines the flow regime of rivers and streams and is a key driver of ecosystem processes in fluvial ecosystems. Understanding how freshwater biotic assemblages change across gradients of hydrology and anthropogenic-source disturbance in different streamflow regimes is crucial to managing for sustainable environmental flows and watershed conservation. We compiled long-term (1916–2016) occurrence records for fishes collected in the Ouachita-Ozark Interior Highlands and West Gulf Coastal Plain streams, together with hydrologic metrics calculated from daily streamflow data measured at USGS stream gauging stations (n = 111), to examine important drivers and thresholds for fish assemblage turnover in groundwater (GW), runoff (RO), and intermittent (INT) flow regimes. We also examined the importance of spatial gradients (latitude, longitude, elevation, drainage area) and anthropogenic-source stressors (Hydrologic Disturbance Index; HDI) for fish assemblage turnover using a gradient forest modeling approach. Watershed fragmentation was of high importance for fish assemblage turnover in RO and INT streams, while changes in dam storage were more important for fishes in GW streams. Hydrologic metrics describing seasonal and stochastic properties of daily streamflow (Mag6) were most important for fish assemblage turnover in INT streams. Timing of high flow events had significantly higher importance compared to flow magnitude, duration, and frequency metrics, especially for fish assemblages in GW and INT streams. The frequency and timing of low flow events had high importance for fish assemblage turnover across all stream flow classes, while the magnitude of low flows and the magnitude and rate of change of average flows was most important for INT stream fish assemblages. In addition to benefiting multi-species conservation and management actions through identification of local and regional flow-ecology relationships generalized across different flow regimes, the results of this study provide a better understanding of complex nonlinear threshold effects, which is critical to anticipating changes in aquatic ecosystems and communities.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2022.109500","usgsCitation":"Fox, J.T., and Magoulick, D.D., 2022, Hydrologic and environmental thresholds in stream fish assemblage structure across flow regimes: Ecological Indicators, v. 144, 109500, 12 p., https://doi.org/10.1016/j.ecolind.2022.109500.","productDescription":"109500, 12 p.","ipdsId":"IP-141446","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":446307,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolind.2022.109500","text":"Publisher Index Page"},{"id":433199,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas, Missouri, Oklahoma","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -94.0072909145776,\n 32.996331346931214\n ],\n [\n -91.86367305364405,\n 32.95089330614236\n ],\n [\n -91.50751795508893,\n 33.152929696557536\n ],\n [\n -91.43542283894192,\n 33.983279606945345\n ],\n [\n -91.88620071539745,\n 34.66359118761602\n ],\n [\n -90.24911433667984,\n 36.41777106986588\n ],\n [\n -89.39173105840047,\n 37.127658750904004\n ],\n [\n -90.27870353794154,\n 38.050842204957206\n ],\n [\n -92.57312445398881,\n 38.27074078230794\n ],\n [\n -94.07764032833012,\n 38.04668122401986\n ],\n [\n -94.69043619691729,\n 36.83802911087706\n ],\n [\n -96.4642878616655,\n 35.22823697686589\n ],\n [\n -96.5088412530875,\n 33.78407715154462\n ],\n [\n -95.25898895253292,\n 33.910484415403275\n ],\n [\n -94.09522136802627,\n 33.61028174407495\n ],\n [\n -94.0072909145776,\n 32.996331346931214\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"144","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Fox, John Tyler","contributorId":341398,"corporation":false,"usgs":false,"family":"Fox","given":"John","email":"","middleInitial":"Tyler","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":908351,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Magoulick, Daniel D. 0000-0001-9665-5957 danmag@usgs.gov","orcid":"https://orcid.org/0000-0001-9665-5957","contributorId":2513,"corporation":false,"usgs":true,"family":"Magoulick","given":"Daniel","email":"danmag@usgs.gov","middleInitial":"D.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":908352,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70236979,"text":"ofr20221077 - 2022 - Field investigation of sub-isokinetic sampling by the US D-96-type suspended-sediment sampler and its effect on suspended-sediment measurements","interactions":[],"lastModifiedDate":"2026-03-30T20:32:00.626998","indexId":"ofr20221077","displayToPublicDate":"2022-09-27T09:04:33","publicationYear":"2022","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":"2022-1077","displayTitle":"Field Investigation of Sub-Isokinetic Sampling by the US D-96-Type Suspended-Sediment Sampler and its Effect on Suspended-Sediment Measurements","title":"Field investigation of sub-isokinetic sampling by the US D-96-type suspended-sediment sampler and its effect on suspended-sediment measurements","docAbstract":"

Collection of accurate suspended-sediment data using depth-integrating samplers requires that they operate isokinetically, that is, that they sample at the local stream velocity unaffected by the presence of the suspended-sediment sampler. Sub-isokinetic suspended-sediment sampling causes grain-size dependent positive biases in the suspended-sediment concentration measured by the suspended-sediment sampler. Collapsible bag suspended-sediment samplers like the US D-96 and the lighter US D-96-A1 depth-integrating samplers have shown a tendency to sample sub-isokinetically under low stream velocities (below ~3.5 feet per second), colder water temperatures, and longer sampling durations. Previous work concluded that the time-dependent decrease in the intake efficiency of the US D-96-type sampler could be partially overcome by increasing the venting of water from the sampler cavity by shortening the sampler tray. The standard-length sampler tray partially blocks the rear vent hole; shortening the sampler tray effectively increases the area of the sampler-cavity rear vent hole. This previous work showed that removing the partial blockage of the rear vent hole caused by the sampler tray resulted in both an increase in intake efficiency and a decrease in the positive bias in measured suspended-sand concentration.

Herein, a series of tests were conducted on the Colorado River in Arizona using different modifications to a US D-96-A1 sampler to see if physical enlargement of the rear vent hole would produce further improvements in intake efficiency. Results from these tests show that physical enlargement of the rear vent hole, beyond that already effectively achieved by shortening the sampler tray, did not result in any further improvement in intake efficiency. However, these tests also indicated that physically increasing the area of the rear vent hole did not affect the suspended-sediment data collected by the US D-96-A1 sampler. Furthermore, comparisons of suspended-sediment data collected using the US D-96-A1 sampler and the isokinetic US P-61-A1 point-integrating sampler show that the suspended-sediment data collected by the US D-96-type sampler can be accurate in certain circumstances despite the tendency of this sampler to sample sub-isokinetically over the entire depth of a sampling vertical. We surmise that this result could arise from the US D-96-A1 sampler collecting sample isokinetically when the water-sediment mixture enters the nozzle, but that the water-sediment mixture only enters the nozzle intermittently while the sampler transits a sampling vertical.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20221077","usgsCitation":"Sabol, T.A., Topping, D.J., Griffiths, R.E., and Dramais, G., 2022, Field investigation of sub-isokinetic sampling by the US D-96-type suspended-sediment sampler and its effect on suspended-sediment measurements: U.S. Geological Survey Open-File Report 2022-1077, 14 p., https://doi.org/10.3133/ofr20221077.","productDescription":"v, 14 p.","numberOfPages":"14","onlineOnly":"Y","ipdsId":"IP-127691","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":501827,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_113586.htm","linkFileType":{"id":5,"text":"html"}},{"id":407352,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2022/1077/ofr20221077.pdf","text":"Report","size":"4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2022-1077"},{"id":407351,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2022/1077/covrthb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Colorado River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.58950805664062,\n 36.830722025409784\n ],\n [\n -111.54144287109375,\n 36.830722025409784\n ],\n [\n -111.54144287109375,\n 36.88236678807325\n ],\n [\n -111.58950805664062,\n 36.88236678807325\n ],\n [\n -111.58950805664062,\n 36.830722025409784\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -113.38714599609375,\n 35.755149755962755\n ],\n [\n -113.33358764648438,\n 35.755149755962755\n ],\n [\n -113.33358764648438,\n 35.777435736805614\n ],\n [\n -113.38714599609375,\n 35.777435736805614\n ],\n [\n -113.38714599609375,\n 35.755149755962755\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"
Southwest Biological Science Center
U.S. Geological Survey
2255 N. Gemini Drive
Flagstaff, AZ 86001
","tableOfContents":"","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2022-09-27","noUsgsAuthors":false,"publicationDate":"2022-09-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Sabol, Thomas A. 0000-0002-4299-2285 tsabol@usgs.gov","orcid":"https://orcid.org/0000-0002-4299-2285","contributorId":3403,"corporation":false,"usgs":true,"family":"Sabol","given":"Thomas","email":"tsabol@usgs.gov","middleInitial":"A.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":852895,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Topping, David J. 0000-0002-2104-4577 dtopping@usgs.gov","orcid":"https://orcid.org/0000-0002-2104-4577","contributorId":296930,"corporation":false,"usgs":true,"family":"Topping","given":"David J.","email":"dtopping@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":852896,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Griffiths, Ronald E. 0000-0003-3620-2926 rgriffiths@usgs.gov","orcid":"https://orcid.org/0000-0003-3620-2926","contributorId":162,"corporation":false,"usgs":true,"family":"Griffiths","given":"Ronald","email":"rgriffiths@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":852897,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dramais, Guillaume 0000-0002-2703-9314","orcid":"https://orcid.org/0000-0002-2703-9314","contributorId":238955,"corporation":false,"usgs":false,"family":"Dramais","given":"Guillaume","email":"","affiliations":[{"id":47837,"text":"Ph.D. student, IRSTEA, Flagstaff, Arizona","active":true,"usgs":false}],"preferred":false,"id":852898,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70236980,"text":"ofr20221065 - 2022 - Pharmaceuticals and personal care products in passive samplers at seven coastal sites off West Maui, Hawaiʻi:","interactions":[],"lastModifiedDate":"2026-03-30T20:19:27.663825","indexId":"ofr20221065","displayToPublicDate":"2022-09-27T08:56:35","publicationYear":"2022","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":"2022-1065","displayTitle":"Pharmaceuticals and Personal Care Products in Passive Samplers at Seven Coastal Sites off West Maui, Hawai‘i","title":"Pharmaceuticals and personal care products in passive samplers at seven coastal sites off West Maui, Hawaiʻi:","docAbstract":"

Passive membrane samplers—semipermeable membrane devices and polar organic chemical integrative samplers—were deployed for 22 continuous days at 7 sites along the West Maui, Hawaiʻi, coastline in February and March 2017 to assess organic contaminants at shallow coral reef ecosystems from diverse upstream inputs. The distribution of organic compounds observed at these coastal sites showed considerable variability; high concentrations of microbially sourced organic compounds observed at all sites, with pentadecane as the predominant normal alkane, showed the relative importance of marine and microbial organic matter to the coastal carbon pool. Pharmaceuticals and personal care products, as well as flame retardants, were also detected at all sites. Of the seven sites sampled, the Kahekili Beach Park site had the highest number of unique contaminants and the Honokōwai Stream site had the highest concentrations of compounds. Two individual compounds, a flame retardant and a fragrance, were ubiquitous across the studied West Maui reefs, including at the least-developed site. A direct correlation to upstream land-use practices or legacy agricultural inputs was not readily observed since polychlorinated biphenyls, pesticides, herbicides, or insecticides were not detected. Results provide a snapshot of relative contaminant abundances as well as inputs to select nearshore environments along the West Maui coastline captured during the 2017 wet season, which was drier than expected. These data can be useful for understanding the range of stressors potentially affecting nearshore ecosystems, such as groundwater inputs and watershed runoff.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20221065","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency and the State of Hawai‘i Department of Health","usgsCitation":"Campbell, P.L., Prouty, N.G., and Storlazzi, C.D., 2022, Pharmaceuticals and personal care products in passive samplers at seven coastal sites off West Maui, Hawaiʻi: U.S. Geological Survey Open-File Report 2022–1065, 14 p., https://doi.org/10.3133/ofr20221065.","productDescription":"Report: vii, 12 p.; Data Release","numberOfPages":"14","onlineOnly":"Y","ipdsId":"IP-132890","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":501819,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_113585.htm","linkFileType":{"id":5,"text":"html"}},{"id":435674,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9ZFE0OP","text":"USGS data release","linkHelpText":"Pharmaceuticals and personal care products measured in passive samplers at seven coastal sites off West Maui during February and March 2017"},{"id":407356,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2022/1065/ofr20221065.pdf","text":"Report","size":"3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2022-1065"},{"id":407355,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2022/1065/covrthb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Maui","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -156.708984375,\n 20.78693059257028\n ],\n [\n -156.5826416015625,\n 20.78693059257028\n ],\n [\n -156.5826416015625,\n 21.04349121680354\n ],\n [\n -156.708984375,\n 21.04349121680354\n ],\n [\n -156.708984375,\n 20.78693059257028\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Pacific Coastal and Marine Science Center
U.S. Geological Survey
2885 Mission St.
Santa Cruz, CA 95060

","tableOfContents":"","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2022-09-27","noUsgsAuthors":false,"publicationDate":"2022-09-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Campbell, Pamela L. 0000-0001-7056-4352","orcid":"https://orcid.org/0000-0001-7056-4352","contributorId":211947,"corporation":false,"usgs":true,"family":"Campbell","given":"Pamela","email":"","middleInitial":"L.","affiliations":[],"preferred":true,"id":852899,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Prouty, Nancy G. 0000-0002-8922-0688 nprouty@usgs.gov","orcid":"https://orcid.org/0000-0002-8922-0688","contributorId":3350,"corporation":false,"usgs":true,"family":"Prouty","given":"Nancy","email":"nprouty@usgs.gov","middleInitial":"G.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":852900,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490 cstorlazzi@usgs.gov","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":140584,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt","email":"cstorlazzi@usgs.gov","middleInitial":"D.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":852901,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70236987,"text":"70236987 - 2022 - The influence of soil development on the depth distribution and structure of soil microbial communities.","interactions":[],"lastModifiedDate":"2022-09-27T13:58:41.255275","indexId":"70236987","displayToPublicDate":"2022-09-27T08:50:57","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3416,"text":"Soil Biology and Biochemistry","active":true,"publicationSubtype":{"id":10}},"title":"The influence of soil development on the depth distribution and structure of soil microbial communities.","docAbstract":"Although it has been shown that the interaction of climate and time shape the dynamics of soil organic matter (SOM) storage and preservation in soil, the role of soil microbial communities in this dynamic remains unclear. Microbial communities are present throughout soil profiles and likely play critical roles in SOM and nutrient cycling, however the influence of other factors such as soil development (i.e., age) and the composition SOM on microbial community variation with depth has yet to be quantified. Improving our understanding of the relationship between soil development, soil depth, and microbial communities may provide insight to the critical role they play in cycling and preservation of SOM, as well as more mechanistic predictions of the response of soil communities to change, such as landscape-scale changes in available moisture or temperature regimes. Here we compare soils spanning a soil age by climate gradient (i.e., climo-chronosequence) to better understand the mechanisms which influence soil microbial community structure and the molecular composition of SOM. While we observed little depth-dependence in metrics of microbial community structure (i.e., composition, diversity, dissimilarity) across the range of soil development under a wetter climate, we found significant depth-dependent changes in community metrics under a drier climate, which became more pronounced as soils became older. This shift in bacterial and archaeal community structure and diversity is most apparent below a clay-rich argillic horizon formed in the older, drier soils. The molecular composition of SOM as measured by high resolution mass spectrometry (i.e., FTICR MS) also exhibited similar shifts in composition with soil depth and age. Our results highlight how soil moisture shapes the interaction of soil development, SOM, and microbial community composition. Differences in the moisture regime between our two study sites drives differences in biogeochemical depth gradients and subsequent variation in soil microbes and SOM. This suggests that knowledge of not just the pedogenic trajectory of soil development, but also the spatial position relative to distinct pedogenic features, are important for explaining variations in the depth-dependencies of microbial communities and associated SOM.","language":"English","publisher":"Elsevier","doi":"10.1016/j.soilbio.2022.108808","usgsCitation":"Leewis, M., Lawrence, C., Schulz, M., Tfaily, M.M., Ayala-Ortiz, C.O., Flores, G.E., Mackelprang, R., and McFarland, J., 2022, The influence of soil development on the depth distribution and structure of soil microbial communities.: Soil Biology and Biochemistry, v. 174, 108808, 15 p., https://doi.org/10.1016/j.soilbio.2022.108808.","productDescription":"108808, 15 p.","ipdsId":"IP-134236","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":446310,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.soilbio.2022.108808","text":"Publisher Index Page"},{"id":407400,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Santa Cruz","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.17071533203125,\n 36.92135192790115\n ],\n [\n -121.90704345703124,\n 36.92135192790115\n ],\n [\n -121.90704345703124,\n 37.03983207971425\n ],\n [\n -122.17071533203125,\n 37.03983207971425\n ],\n [\n -122.17071533203125,\n 36.92135192790115\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.51354980468749,\n 39.93501296038254\n ],\n [\n -123.68408203124999,\n 39.93501296038254\n ],\n [\n -123.68408203124999,\n 40.85537053192494\n ],\n [\n -124.51354980468749,\n 40.85537053192494\n ],\n [\n -124.51354980468749,\n 39.93501296038254\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"174","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Leewis, Mary-Catherine 0000-0001-6496-8094","orcid":"https://orcid.org/0000-0001-6496-8094","contributorId":267792,"corporation":false,"usgs":false,"family":"Leewis","given":"Mary-Catherine","affiliations":[{"id":24491,"text":"Agriculture and Agri-Food Canada","active":true,"usgs":false}],"preferred":false,"id":852928,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lawrence, Corey 0000-0001-6143-7781","orcid":"https://orcid.org/0000-0001-6143-7781","contributorId":202373,"corporation":false,"usgs":true,"family":"Lawrence","given":"Corey","email":"","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":852927,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schulz, Marjorie S. 0000-0001-5597-6447 mschulz@usgs.gov","orcid":"https://orcid.org/0000-0001-5597-6447","contributorId":3720,"corporation":false,"usgs":true,"family":"Schulz","given":"Marjorie S.","email":"mschulz@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":852929,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tfaily, Malak M.","contributorId":219253,"corporation":false,"usgs":false,"family":"Tfaily","given":"Malak","email":"","middleInitial":"M.","affiliations":[{"id":39976,"text":"Environmental Molecular Sciences Lab, Pacific Northwest National Laboratory, Richland, WA","active":true,"usgs":false}],"preferred":false,"id":852930,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ayala-Ortiz, Christian Orlando","contributorId":296944,"corporation":false,"usgs":false,"family":"Ayala-Ortiz","given":"Christian","email":"","middleInitial":"Orlando","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":852931,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Flores, Gilberto E.","contributorId":14220,"corporation":false,"usgs":true,"family":"Flores","given":"Gilberto","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":852932,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mackelprang, Rachel","contributorId":200882,"corporation":false,"usgs":false,"family":"Mackelprang","given":"Rachel","email":"","affiliations":[{"id":7080,"text":"California State University, Northridge","active":true,"usgs":false}],"preferred":false,"id":852933,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McFarland, Jack 0000-0001-9672-8597","orcid":"https://orcid.org/0000-0001-9672-8597","contributorId":214819,"corporation":false,"usgs":true,"family":"McFarland","given":"Jack","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":852934,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70246256,"text":"70246256 - 2022 - Spatial distribution and physicochemical properties of respirable volcanic ash from the 16-17 August 2006 Tungurahua eruption (Ecuador), and alveolar epithelium response in-vitro","interactions":[],"lastModifiedDate":"2023-06-28T13:47:31.187151","indexId":"70246256","displayToPublicDate":"2022-09-27T08:33:27","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":16135,"text":"GeoHealth","active":true,"publicationSubtype":{"id":10}},"title":"Spatial distribution and physicochemical properties of respirable volcanic ash from the 16-17 August 2006 Tungurahua eruption (Ecuador), and alveolar epithelium response in-vitro","docAbstract":"

Tungurahua volcano (Ecuador) intermittently emitted ash between 1999 and 2016, enduringly affecting the surrounding rural area and its population, but its health impact remains poorly documented. We aim to assess the respiratory health hazard posed by the 16–17 August 2006 most intense eruptive phase of Tungurahua. We mapped the spatial distribution of the health-relevant ash size fractions produced by the eruption in the area impacted by ash fallout. We quantified the mineralogy, composition, surface texture, and morphology of a respirable ash sample isolated by aerodynamic separation. We then assessed the cytotoxicity and pro-inflammatory potential of this respirable ash toward lung tissues in-vitro using A549 alveolar epithelial cells, by electron microscopy and biochemical assays. The eruption produced a high amount of inhalable and respirable ash (12.0–0.04 kg/m2 of sub-10 μm and 5.3–0.02 kg/m2 of sub-4 μm ash deposited). Their abundance and proportion vary greatly across the deposit within the first 20 km from the volcano. The respirable ash is characteristic of an andesitic magma and no crystalline silica is detected. Morphological features and surface textures are complex and highly variable, with few fibers observed. In-vitro experiments show that respirable volcanic ash is internalized by A549 cells and processed in the endosomal pathway, causing little cell damage, but resulting in changes in cell morphology and membrane texture. The ash triggers a weak pro-inflammatory response. These data provide the first understanding of the respirable ash hazard near Tungurahua and the extent to which it varies spatially in a fallout deposit.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2022GH000680","usgsCitation":"Eychenne, J., Gurioli, L., Damby, D., Belville, C., Schiavi, F., Marceau, G., Szczepaniak, C., Blavignac, C., Laumonier, M., Gardes, E., Le Pennec, J., Nedelec, J., Blanchon, L., and Sapin, V., 2022, Spatial distribution and physicochemical properties of respirable volcanic ash from the 16-17 August 2006 Tungurahua eruption (Ecuador), and alveolar epithelium response in-vitro: GeoHealth, v. 6, no. 12, e2022GH000680, 21 p., https://doi.org/10.1029/2022GH000680.","productDescription":"e2022GH000680, 21 p.","ipdsId":"IP-142222","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":446315,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2022gh000680","text":"Publisher Index Page"},{"id":418584,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Ecuador","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -78.26112606583433,\n -1.2298836523803232\n ],\n [\n -79.4800078645985,\n -1.2298836523803232\n ],\n [\n -79.4800078645985,\n -2.1006015647003693\n ],\n [\n -78.26112606583433,\n -2.1006015647003693\n ],\n [\n -78.26112606583433,\n -1.2298836523803232\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"6","issue":"12","noUsgsAuthors":false,"publicationDate":"2022-12-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Eychenne, Julia","contributorId":168818,"corporation":false,"usgs":false,"family":"Eychenne","given":"Julia","email":"","affiliations":[{"id":25364,"text":"Univ. 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We adapted the WRF-Hydro modelling system to Hurricane Florence (2018) and performed a series of diagnostic experiments to assess the influence of initial soil moisture and precipitation magnitude on flood simulation over the Cape Fear River basin in the United States. Model results suggest that: (1) The modulation effect of initial soil moisture on the flood peak is non-linear and weakens as precipitation magnitude increases. There is a threshold value of the soil saturation, below and above which the sensitivity of flood peak to the soil moisture differentiates substantially; (2) For model spin-up, streamflow needs longer time to reach the ‘practical’ equilibrium (10%) than the soil moisture and latent heat flux. The model uncertainty from spin-up can propagate through the hydrometeorological modelling chain and get amplified into the flood peak; (3) For ensemble flood modelling with a hydrometeorological system, modelling uncertainty is dominated by the precipitation forecast. Spin-up induced uncertainty can be minimized once the model reaches the ‘practical’ equilibrium.

","language":"English","publisher":"Wiley","doi":"10.1002/hyp.14710","usgsCitation":"Yin, D., Xue, G., Bao, D., RafieeiNasab, A., Huang, Y., Morales, M., and Warner, J.C., 2022, Understanding the role of initial soil moisture and precipitation magnitude in flood forecast using a hydrometeorological modelling system: Hydrological Processes, v. 36, no. 10, e14710, 19 p., https://doi.org/10.1002/hyp.14710.","productDescription":"e14710, 19 p.","ipdsId":"IP-133846","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":501054,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://repository.lsu.edu/oceanography_coastal_pubs/1427","text":"External Repository"},{"id":409157,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -78.02859138426273,\n 33.91273350014902\n ],\n [\n -77.85740970413882,\n 33.87873935474775\n ],\n [\n -77.62669681351348,\n 34.07916652824517\n ],\n [\n -77.57145884904595,\n 34.342516309548245\n ],\n [\n -77.7376974328604,\n 35.11381333837966\n ],\n [\n -78.07827360473519,\n 35.65124148821752\n ],\n [\n -78.40786344848554,\n 36.247123934485145\n ],\n [\n -78.84731657348536,\n 36.45064243746327\n ],\n [\n -79.50649626098506,\n 36.54778918452823\n ],\n [\n -79.9679220422352,\n 36.36222150142483\n ],\n [\n -79.55044157348519,\n 35.91861010524248\n ],\n [\n -79.33071501098524,\n 34.879818253739856\n ],\n [\n -79.15493376098544,\n 34.55472259947307\n ],\n [\n -78.08925993286006,\n 33.973629410810005\n ],\n [\n -78.02859138426273,\n 33.91273350014902\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"36","issue":"10","noUsgsAuthors":false,"publicationDate":"2022-10-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Yin, Dongxiao","contributorId":294535,"corporation":false,"usgs":false,"family":"Yin","given":"Dongxiao","email":"","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":856586,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Xue, George","contributorId":294533,"corporation":false,"usgs":false,"family":"Xue","given":"George","email":"","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":856587,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bao, Daoyang","contributorId":294534,"corporation":false,"usgs":false,"family":"Bao","given":"Daoyang","email":"","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":856588,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"RafieeiNasab, Arezoo","contributorId":298847,"corporation":false,"usgs":false,"family":"RafieeiNasab","given":"Arezoo","email":"","affiliations":[{"id":64695,"text":"National Center for Atmospheric Research, Research Applications Laboratory, Boulder, CO","active":true,"usgs":false}],"preferred":false,"id":856589,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Huang, Yongjie","contributorId":298848,"corporation":false,"usgs":false,"family":"Huang","given":"Yongjie","email":"","affiliations":[{"id":64696,"text":"chool of Meteorology, University of Oklahoma, Norman, OK","active":true,"usgs":false}],"preferred":false,"id":856590,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Morales, Mirce","contributorId":298849,"corporation":false,"usgs":false,"family":"Morales","given":"Mirce","email":"","affiliations":[{"id":64697,"text":"School of Engineering, National Autonomous University of Mexico, Mexico Ci","active":true,"usgs":false}],"preferred":false,"id":856592,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Warner, John C. 0000-0002-3734-8903 jcwarner@usgs.gov","orcid":"https://orcid.org/0000-0002-3734-8903","contributorId":258015,"corporation":false,"usgs":true,"family":"Warner","given":"John","email":"jcwarner@usgs.gov","middleInitial":"C.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":856591,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70237121,"text":"70237121 - 2022 - Identifying shared priorities for a bioregional approach to restoration in the Northern Gulf of Mexico","interactions":[],"lastModifiedDate":"2023-06-08T14:53:08.019694","indexId":"70237121","displayToPublicDate":"2022-09-27T07:03:15","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3910,"text":"Frontiers in Ecology and Evolution","onlineIssn":"2296-701X","active":true,"publicationSubtype":{"id":10}},"title":"Identifying shared priorities for a bioregional approach to restoration in the Northern Gulf of Mexico","docAbstract":"

Natural resource management is often challenged with a mismatch between the scale of decision-making and the scale of the biological, ecological, and physical processes that control a system. Bioregional approaches to adaptive management have emerged as an approach to inform natural resource management at ecologically relevant scales and across multi-level governance structures. The implementation of adaptive management requires the determination of ecological and social priorities that can inform a desired system state across multiple governing bodies. We use the Northern Gulf of Mexico, United States, as a case study for a bioregional approach to adaptive management and illustrate a method for developing objectives and management priorities across programs and jurisdictions. Through this synthesis, using qualitative coding methods to develop a shared vocabulary across the diverse dataset, we identified commonalities and differences in ecological and human community priorities across the five states which line the Northern Gulf of Mexico. Using these shared priorities, we conceptualize a network of priority-focused objectives as a starting point for further stakeholder engagement and effectively monitoring and evaluating progress across boundaries. This approach serves as a framework for cross-program adaptive management by illustrating a desired system state that reflects the shared priorities among decision-making authorities in this region and offering individual programs or projects a method to articulate their contributions to the broader set of shared priorities Gulf-wide. This method can be used by restoration managers in any region of the world to align project objectives within cross-jurisdictional boundaries and illustrate the value of a bioregional approach to restoration.

","language":"English","publisher":"Frontiers Media","doi":"10.3389/fevo.2022.958684","usgsCitation":"Guilbeau, K.G., Hijuelos, A.C., Romanach, S., and Steyer, G., 2022, Identifying shared priorities for a bioregional approach to restoration in the Northern Gulf of Mexico: Frontiers in Ecology and Evolution, v. 10, 958684, 13 p.; Data Release, https://doi.org/10.3389/fevo.2022.958684.","productDescription":"958684, 13 p.; Data Release","ipdsId":"IP-134472","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":446320,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fevo.2022.958684","text":"Publisher Index Page"},{"id":407693,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":417825,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9BOFJV6"}],"country":"United States","otherGeospatial":"Gulf of Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -100.107421875,\n 24.766784522874453\n ],\n [\n -78.3984375,\n 24.766784522874453\n ],\n [\n -78.3984375,\n 32.69486597787505\n ],\n [\n -100.107421875,\n 32.69486597787505\n ],\n [\n -100.107421875,\n 24.766784522874453\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"10","noUsgsAuthors":false,"publicationDate":"2022-09-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Guilbeau, Kelly G.","contributorId":297126,"corporation":false,"usgs":false,"family":"Guilbeau","given":"Kelly","email":"","middleInitial":"G.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":853392,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hijuelos, Ann C 0000-0003-0922-6754","orcid":"https://orcid.org/0000-0003-0922-6754","contributorId":297128,"corporation":false,"usgs":false,"family":"Hijuelos","given":"Ann","email":"","middleInitial":"C","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":853393,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Romanach, Stephanie 0000-0003-0271-7825","orcid":"https://orcid.org/0000-0003-0271-7825","contributorId":220761,"corporation":false,"usgs":true,"family":"Romanach","given":"Stephanie","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":853394,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Steyer, Gregory 0000-0001-7231-0110","orcid":"https://orcid.org/0000-0001-7231-0110","contributorId":218813,"corporation":false,"usgs":true,"family":"Steyer","given":"Gregory","affiliations":[{"id":5064,"text":"Southeast Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":853395,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70237299,"text":"70237299 - 2022 - Neural net detection of seismic features related to gas hydrates and free gas accumulations on the northern U.S. Atlantic margin","interactions":[],"lastModifiedDate":"2022-10-07T11:55:34.680143","indexId":"70237299","displayToPublicDate":"2022-09-27T06:52:12","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3906,"text":"Interpretation","active":true,"publicationSubtype":{"id":10}},"title":"Neural net detection of seismic features related to gas hydrates and free gas accumulations on the northern U.S. Atlantic margin","docAbstract":"

Bottom-simulating reflections (BSRs) that sometimes mark the base of the gas hydrate stability zone in marine sediments are often identified based on the reverse polarity reflections that cut across stratigraphic layering in seismic amplitude data. On the northern U.S. Atlantic margin (USAM) between Cape Hatteras and Hudson Canyon, legacy seismic data have revealed pronounced BSRs south of the deepwater extension of Hudson Canyon and more subtle ones from offshore Delaware south to Cape Hatteras, where the reflections sometimes follow stratigraphic layering. Using high-resolution seismic data acquired during the 2018 Mid-Atlantic Resource Imaging Experiment and a supervised neural net, we identify seismic features associated with gas hydrates and/or the top of gas between Hudson Canyon and Cape Hatteras. Using seismic attributes especially sensitive to the presence of gas, we train a neural network algorithm on seismic data from an area with strong BSRs and then apply the model to the rest of the data set. The results indicate that gas hydrate and/or shallow free gas are significantly more widespread on the northern part of the USAM than previously known. Seismic indicators of gas extend landward from the 2000 m isobath to the upper continental slope in sectors with (offshore Virginia) and, to a lesser extent, without (offshore New Jersey) pervasive upper slope methane seeps. Higher sand content and intermediate sediment thickness, factors related to the container size and gas charge in a petroleum systems framework, are associated with more robust gas indicators.

","language":"English","publisher":"Society of Exploration Geologists","doi":"10.1190/INT-2021-0248.1","usgsCitation":"Majumdar, U., Miller, N.C., and Ruppel, C.D., 2022, Neural net detection of seismic features related to gas hydrates and free gas accumulations on the northern U.S. Atlantic margin: Interpretation, v. 10, no. 4, p. T785-T806, https://doi.org/10.1190/INT-2021-0248.1.","productDescription":"22 p.","startPage":"T785","endPage":"T806","ipdsId":"IP-132770","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":408081,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"U.S. Atlantic margin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.87109375,\n 34.63320791137959\n ],\n [\n -69.12597656249999,\n 34.63320791137959\n ],\n [\n -69.12597656249999,\n 41.47566020027821\n ],\n [\n -77.87109375,\n 41.47566020027821\n ],\n [\n -77.87109375,\n 34.63320791137959\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"10","issue":"4","noUsgsAuthors":false,"publicationDate":"2022-09-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Majumdar, Urmi","contributorId":297398,"corporation":false,"usgs":false,"family":"Majumdar","given":"Urmi","email":"","affiliations":[{"id":36711,"text":"Woods Hole Oceanographic Institution","active":true,"usgs":false}],"preferred":false,"id":854085,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, Nathaniel C. 0000-0003-3271-2929 ncmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-3271-2929","contributorId":174592,"corporation":false,"usgs":true,"family":"Miller","given":"Nathaniel","email":"ncmiller@usgs.gov","middleInitial":"C.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":854086,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ruppel, Carolyn D. 0000-0003-2284-6632 cruppel@usgs.gov","orcid":"https://orcid.org/0000-0003-2284-6632","contributorId":195778,"corporation":false,"usgs":true,"family":"Ruppel","given":"Carolyn","email":"cruppel@usgs.gov","middleInitial":"D.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":854087,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70240227,"text":"70240227 - 2022 - Establishment of invasive Black Carp (Mylopharyngodon piceus) in the Mississippi River basin: Identifying sources and year classes contributing to recruitment","interactions":[],"lastModifiedDate":"2023-02-17T16:22:10.249184","indexId":"70240227","displayToPublicDate":"2022-09-27T06:45:38","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Establishment of invasive Black Carp (Mylopharyngodon piceus) in the Mississippi River basin: Identifying sources and year classes contributing to recruitment","title":"Establishment of invasive Black Carp (Mylopharyngodon piceus) in the Mississippi River basin: Identifying sources and year classes contributing to recruitment","docAbstract":"

Black Carp (Mylopharyngodon piceus) was imported to the USA to control aquaculture pond snails. This species has escaped captivity and occurs in parts of the Mississippi River, several tributaries, and floodplain lakes, which is concerning due to potential competition with native fishes and predation on native mussels, many of which are imperiled. However, Black Carp captures have primarily been incidental by commercial fishers, and evidence of reproduction in the wild is limited. The objectives of this study were to assess relative abundance of aquaculture-origin and wild Black Carp using ploidy and otolith stable isotope analysis, identify spatial extent of natural reproduction using otolith microchemistry, assess age distributions of wild and aquaculture-source Black Carp to infer years in which natural reproduction occurred and timing of aquaculture escapement or introductions, and estimate size and age at maturation to assess whether recruitment to adulthood has occurred. Results revealed that Black Carp are established in parts of the Mississippi River basin based on findings that: (1) non-captive Black Carp primarily consist of fertile, naturally-reproduced fish, (2) reproduction has occurred in several rivers, (3) multiple year classes of wild fish are present, and (4) wild fish have recruited to adulthood. Multiple introductions or escapements of aquaculture-source fish into the wild, including both fertile and functionally sterile individuals, were also inferred. Individual growth appears to be rapid, although considerable variation was observed among fish. Additional study is suggested to refine understanding of where and when Black Carp reproduction is occurring in the Mississippi River basin.

","language":"English","publisher":"Springer","doi":"10.1007/s10530-022-02889-1","usgsCitation":"Whitledge, G.W., Kroboth, P.T., Chapman, D., Phelps, Q.E., Sleeper, W., Bailey, J., and Jenkins, J., 2022, Establishment of invasive Black Carp (Mylopharyngodon piceus) in the Mississippi River basin: Identifying sources and year classes contributing to recruitment: Biological Invasions, v. 24, p. 3885-3904, https://doi.org/10.1007/s10530-022-02889-1.","productDescription":"20 p.","startPage":"3885","endPage":"3904","ipdsId":"IP-130254","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":435676,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P90DD6NT","text":"USGS data release","linkHelpText":"Microchemistry demographics and development data from wild caught black carp in the Mississippi River basin, 2011-18"},{"id":412607,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas, Illinois, Kentucky, Louisiana, Missouri, Mississippi, Tennessee","otherGeospatial":"Mississippi River 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\"}}]}","volume":"24","noUsgsAuthors":false,"publicationDate":"2022-09-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Whitledge, Gregory W.","contributorId":205604,"corporation":false,"usgs":false,"family":"Whitledge","given":"Gregory","email":"","middleInitial":"W.","affiliations":[{"id":32417,"text":"Southern Illinois University-Carbondale","active":true,"usgs":false}],"preferred":false,"id":863017,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kroboth, Patrick T.","contributorId":145435,"corporation":false,"usgs":false,"family":"Kroboth","given":"Patrick","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":863018,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chapman, Duane 0000-0002-1086-8853 dchapman@usgs.gov","orcid":"https://orcid.org/0000-0002-1086-8853","contributorId":1291,"corporation":false,"usgs":true,"family":"Chapman","given":"Duane","email":"dchapman@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":863019,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Phelps, Quinton E.","contributorId":264841,"corporation":false,"usgs":false,"family":"Phelps","given":"Quinton","email":"","middleInitial":"E.","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":863020,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sleeper, Wesley","contributorId":253124,"corporation":false,"usgs":false,"family":"Sleeper","given":"Wesley","email":"","affiliations":[{"id":16971,"text":"Missouri Department of Conservation","active":true,"usgs":false}],"preferred":false,"id":863021,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bailey, Jennifer","contributorId":212231,"corporation":false,"usgs":false,"family":"Bailey","given":"Jennifer","email":"","affiliations":[{"id":38464,"text":"USFWS, LaCrosse Fish Health Center, Midwest Fisheries Center","active":true,"usgs":false}],"preferred":false,"id":863022,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jenkins, Jill 0000-0002-5087-0894","orcid":"https://orcid.org/0000-0002-5087-0894","contributorId":222865,"corporation":false,"usgs":true,"family":"Jenkins","given":"Jill","email":"","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":863023,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70259663,"text":"70259663 - 2022 - Drought and water management in ancient Maya society","interactions":[],"lastModifiedDate":"2024-10-21T11:04:04.422118","indexId":"70259663","displayToPublicDate":"2022-09-27T06:01:28","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5866,"text":"Progress in Physical Geography: Earth and Environment","active":true,"publicationSubtype":{"id":10}},"title":"Drought and water management in ancient Maya society","docAbstract":"
Paleoclimate research in the Maya region of Mesoamerica provides compelling evidence of drought during key periods of cultural transition in Maya society. These include the transition from the Preclassic to the Classic, and from Classic to the Postclassic. Previous research emphasized a causal relationship between drought and cultural change, or so-called “collapse” in the Maya region. Recent advances in the range and precision of climate-sensitive proxies and the development of new archives have enabled quantitative reconstructions of past hydroclimate, as well as providing evidence of high impact, short-duration events, such as tropical cyclones. Simultaneously, archaeological research has unearthed widespread evidence of technologies used by the Maya to exert control over water resources in urban, rural, and agricultural settings. Evidence suggests that many of these water features were in use for multiple generations, possibly centuries, and many were constructed during the Terminal Preclassic and Terminal Classic periods. We suggest that, given the availability of new archaeological and paleoclimate records, these data can be combined to identify the full complexity of Maya adaptation to hydroclimate variability to emphasize adaptation and resilience to both water scarcity and over-abundance (e.g., flooding). Such syntheses, which can offer lessons for present-day efforts to grapple with regional climate change, will benefit from additional studies in data-poor zones of the Maya region, as well as public archiving of paleoclimate and archaeological data.
","language":"English","publisher":"Sage","doi":"10.1177/03091333221129784","usgsCitation":"Bhattacharya, T., Krause, S., Penny, D., and Wahl, D., 2022, Drought and water management in ancient Maya society: Progress in Physical Geography: Earth and Environment, v. 47, no. 2, p. 189-204, https://doi.org/10.1177/03091333221129784.","productDescription":"16 p.","startPage":"189","endPage":"204","ipdsId":"IP-138443","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":463050,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -95.43938375079819,\n 13.678593843803739\n ],\n [\n -84.49700093829858,\n 13.678593843803739\n ],\n [\n -84.49700093829858,\n 23.33271697523854\n ],\n [\n -95.43938375079819,\n 23.33271697523854\n ],\n [\n -95.43938375079819,\n 13.678593843803739\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"47","issue":"2","noUsgsAuthors":false,"publicationDate":"2022-09-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Bhattacharya, Tripti","contributorId":288113,"corporation":false,"usgs":false,"family":"Bhattacharya","given":"Tripti","email":"","affiliations":[{"id":27763,"text":"Univ. of Arizona","active":true,"usgs":false}],"preferred":false,"id":916171,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Krause, Samantha","contributorId":345276,"corporation":false,"usgs":false,"family":"Krause","given":"Samantha","email":"","affiliations":[{"id":6677,"text":"Texas State University","active":true,"usgs":false}],"preferred":false,"id":916172,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Penny, Dan 0000-0002-7905-0339","orcid":"https://orcid.org/0000-0002-7905-0339","contributorId":345277,"corporation":false,"usgs":false,"family":"Penny","given":"Dan","email":"","affiliations":[{"id":16826,"text":"University of Sydney","active":true,"usgs":false}],"preferred":false,"id":916173,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wahl, David 0000-0002-0451-3554","orcid":"https://orcid.org/0000-0002-0451-3554","contributorId":206113,"corporation":false,"usgs":true,"family":"Wahl","given":"David","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":916174,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70237560,"text":"70237560 - 2022 - Discovery of prolactin-like in lamprey: Role in osmoregulation and new insight into the evolution of the growth hormone/prolactin family","interactions":[],"lastModifiedDate":"2022-10-13T18:07:11.136405","indexId":"70237560","displayToPublicDate":"2022-09-26T13:04:11","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2982,"text":"PNAS","active":true,"publicationSubtype":{"id":10}},"title":"Discovery of prolactin-like in lamprey: Role in osmoregulation and new insight into the evolution of the growth hormone/prolactin family","docAbstract":"

We used a representative of one of the oldest extant vertebrate lineages (jawless fish or agnathans) to investigate the early evolution and function of the growth hormone (GH)/prolactin (PRL) family. We identified a second member of the GH/PRL family in an agnathan, the sea lamprey (Petromyzon marinus). Structural, phylogenetic, and synteny analyses supported the identification of this hormone as prolactin-like (PRL-L), which has led to added insight into the evolution of the GH/PRL family. At least two ancestral genes were present in early vertebrates, which gave rise to distinct GH and PRL-L genes in lamprey. A series of gene duplications, gene losses, and chromosomal rearrangements account for the diversity of GH/PRL-family members in jawed vertebrates. Lamprey PRL-L is produced in the proximal pars distalis of the pituitary and is preferentially bound by the lamprey PRL receptor, whereas lamprey GH is preferentially bound by the lamprey GH receptor. Pituitary PRL-L messenger RNA (mRNA) levels were low in larvae, then increased significantly in mid-metamorphic transformers (stage 3); thereafter, levels subsided in final-stage transformers and metamorphosed juveniles. The abundance of PRL-L mRNA and immunoreactive protein increased in the pituitary of juveniles under hypoosmotic conditions, and treatment with PRL-L blocked seawater-associated inhibition of freshwater ion transporters. These findings clarify the origin and divergence of GH/PRL family genes in early vertebrates and reveal a function of PRL-L in osmoregulation of sea lamprey, comparable to a role of PRLs that is conserved in jawed vertebrates.

","language":"English","publisher":"National Academy of Sciences","doi":"10.1073/pnas.2212196119","usgsCitation":"Gong, N., Ferreira-Martins, D., Norstog, J.L., McCormick, S.D., and Sheridan, M., 2022, Discovery of prolactin-like in lamprey: Role in osmoregulation and new insight into the evolution of the growth hormone/prolactin family: PNAS, v. 119, no. 40, e2212196119, 11 p., https://doi.org/10.1073/pnas.2212196119.","productDescription":"e2212196119, 11 p.","ipdsId":"IP-133495","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":446325,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1073/pnas.2212196119","text":"Publisher Index Page"},{"id":408263,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"119","issue":"40","noUsgsAuthors":false,"publicationDate":"2022-09-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Gong, Ningping","contributorId":228919,"corporation":false,"usgs":false,"family":"Gong","given":"Ningping","email":"","affiliations":[{"id":41526,"text":"Univ of Texas, Lubbock","active":true,"usgs":false}],"preferred":false,"id":854461,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ferreira-Martins, Diogo","contributorId":228920,"corporation":false,"usgs":false,"family":"Ferreira-Martins","given":"Diogo","email":"","affiliations":[{"id":37062,"text":"UMASS","active":true,"usgs":false}],"preferred":false,"id":854462,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Norstog, Jessica L. 0000-0002-5495-5131","orcid":"https://orcid.org/0000-0002-5495-5131","contributorId":295345,"corporation":false,"usgs":false,"family":"Norstog","given":"Jessica","email":"","middleInitial":"L.","affiliations":[{"id":6932,"text":"University of Massachusetts, Amherst","active":true,"usgs":false}],"preferred":false,"id":854463,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McCormick, Stephen D. 0000-0003-0621-6200 smccormick@usgs.gov","orcid":"https://orcid.org/0000-0003-0621-6200","contributorId":139214,"corporation":false,"usgs":true,"family":"McCormick","given":"Stephen","email":"smccormick@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":854464,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sheridan, Mark","contributorId":228921,"corporation":false,"usgs":false,"family":"Sheridan","given":"Mark","affiliations":[{"id":41527,"text":"Univ of Texas Lubbock","active":true,"usgs":false}],"preferred":false,"id":854465,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70236960,"text":"dr1163 - 2022 - Groundwater and surface-water data collection for the Walla Walla River Basin, Washington, 2018–22","interactions":[],"lastModifiedDate":"2026-03-18T19:34:40.771206","indexId":"dr1163","displayToPublicDate":"2022-09-26T10:33:29","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":9318,"text":"Data Report","code":"DR","onlineIssn":"2771-9448","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1163","displayTitle":"Groundwater and Surface-Water Data Collection for the Walla Walla River Basin, Washington, 2018–22","title":"Groundwater and surface-water data collection for the Walla Walla River Basin, Washington, 2018–22","docAbstract":"

The semi-arid Walla Walla River Basin (WWRB) spans 1777 square miles in the states of Washington and Oregon and supports a diverse agricultural region as well as cities and rural communities that are partially reliant on groundwater. Historically, surface water and groundwater data have been collected in the WWRB by several entities including federal, state, local, and tribal governments; irrigation districts; universities; and non-profits. This report describes the surface and groundwater data collection by the U.S. Geological Survey from February 2018 to April 2022 to provide the Washington State Department of Ecology and other stakeholders basic knowledge of existing water resources in the WWRB, Washington. Additionally, the data were collected to build a long-term groundwater dataset, with the intent to provide data for better understanding to assist in informed decisions about groundwater use, management, and conservation throughout the basin, and for future inclusion in a conceptual model of the groundwater-flow system (conceptual model). Data were collected and compiled for 237 sites—191 wells and 46 surface-water discharge sites. A small annual network of deep basalt wells was established in February 2018 to commence the data collection. In March 2020 and April 2021, additional field inventories were performed by locating and measuring groundwater wells in the WWRB. A subset of the inventoried wells were selected for an annual or a quarterly water level network to be measured until July 2024. In August 2020, field reconnaissance identified 46 surface-water sites to be measured for discharge, estimating gaining and losing reaches in streams for groundwater influences.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dr1163","collaboration":"Prepared in cooperation with Washington Department of Ecology","usgsCitation":"Fasser, E.T., and Dunn, S.B., 2022, Groundwater and surface-water data collection for the Walla Walla River Basin, Washington, 2018–22: Data Report 1163, 8 p., https://doi.org/10.3133/dr1163.","productDescription":"Report: vi, 8 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-140692","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":407252,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/dr/1163/coverthb.jpg"},{"id":407253,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/dr/1163/dr1163.pdf","text":"Report","size":"3.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DR 1163"},{"id":407254,"rank":3,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/dr/1163/images"},{"id":407255,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/dr/1163/dr1163.XML"},{"id":407256,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9D2C2DK","text":"USGS data release","description":"USGS data release","linkHelpText":"Dataset of groundwater and surface water data collection for the Walla Walla Basin in Washington, 2018–2022"},{"id":407257,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/dr1163/full","text":"Report"},{"id":501271,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_113584.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Oregon, Washington","otherGeospatial":"Walla Walla River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.21264648437499,\n 45.62172169252446\n ],\n [\n -117.191162109375,\n 45.62172169252446\n ],\n [\n -117.191162109375,\n 47.092565552235705\n ],\n [\n -119.21264648437499,\n 47.092565552235705\n ],\n [\n -119.21264648437499,\n 45.62172169252446\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

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

","tableOfContents":"","publishedDate":"2022-09-26","noUsgsAuthors":false,"publicationDate":"2022-09-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Fasser, Elisabeth T. 0000-0002-3945-6633 efasser@usgs.gov","orcid":"https://orcid.org/0000-0002-3945-6633","contributorId":3973,"corporation":false,"usgs":true,"family":"Fasser","given":"Elisabeth","email":"efasser@usgs.gov","middleInitial":"T.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":852817,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dunn, Sarah B. 0000-0003-4463-0074","orcid":"https://orcid.org/0000-0003-4463-0074","contributorId":291768,"corporation":false,"usgs":false,"family":"Dunn","given":"Sarah B.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":852818,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70237772,"text":"70237772 - 2022 - Tapwater exposures, effects potential, and residential risk management in Northern Plains Nations","interactions":[],"lastModifiedDate":"2022-10-24T15:20:21.435018","indexId":"70237772","displayToPublicDate":"2022-09-26T10:08:25","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10071,"text":"Environmental Science and Technology Water","active":true,"publicationSubtype":{"id":10}},"title":"Tapwater exposures, effects potential, and residential risk management in Northern Plains Nations","docAbstract":"

In the United States (US), private-supply tapwater (TW) is rarely monitored. This data gap undermines individual/community risk-management decision-making, leading to an increased probability of unrecognized contaminant exposures in rural and remote locations that rely on private wells. We assessed point-of-use (POU) TW in three northern plains Tribal Nations, where ongoing TW arsenic (As) interventions include expansion of small community water systems and POU adsorptive-media treatment for Strong Heart Water Study participants. Samples from 34 private-well and 22 public-supply sites were analyzed for 476 organics, 34 inorganics, and 3 in vitro bioactivities. 63 organics and 30 inorganics were detected. Arsenic, uranium (U), and lead (Pb) were detected in 54%, 43%, and 20% of samples, respectively. Concentrations equivalent to public-supply maximum contaminant level(s) (MCL) were exceeded only in untreated private-well samples (As 47%, U 3%). Precautionary health-based screening levels were exceeded frequently, due to inorganics in private supplies and chlorine-based disinfection byproducts in public supplies. The results indicate that simultaneous exposures to co-occurring TW contaminants are common, warranting consideration of expanded source, point-of-entry, or POU treatment(s). This study illustrates the importance of increased monitoring of private-well TW, employing a broad, environmentally informative analytical scope, to reduce the risks of unrecognized contaminant exposures.

","language":"English","publisher":"American Chemical Society","doi":"10.1021/acsestwater.2c00293","usgsCitation":"Bradley, P., Romanok, K., Smalling, K., Focazio, M.J., Charboneau, R., George, C.M., Navas-Acien, A., O’Leary, M., Red Cloud, R., Zacher, T., Breitmeyer, S.E., Cardon, M.C., Cuny, C.K., Ducheneaux, G., Enright, K., Evans, N., Gray, J., Harvey, D.E., Hladik, M.L., Kanagy, L.K., Loftin, K.A., McCleskey, R., Medlock-Kakaley, E., Meppelink, S.M., Valder, J., and Weis, C.P., 2022, Tapwater exposures, effects potential, and residential risk management in Northern Plains Nations: Environmental Science and Technology Water, v. 2, no. 10, p. 1772-1788, https://doi.org/10.1021/acsestwater.2c00293.","productDescription":"17 p.","startPage":"1772","endPage":"1788","ipdsId":"IP-117867","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":446328,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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Blaine 0000-0002-2521-8052","orcid":"https://orcid.org/0000-0002-2521-8052","contributorId":205663,"corporation":false,"usgs":true,"family":"McCleskey","given":"R. Blaine","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":855592,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Medlock-Kakaley, Elizabeth 0000-0001-5543-9262","orcid":"https://orcid.org/0000-0001-5543-9262","contributorId":248523,"corporation":false,"usgs":false,"family":"Medlock-Kakaley","given":"Elizabeth","email":"","affiliations":[{"id":12772,"text":"USEPA","active":true,"usgs":false}],"preferred":false,"id":855593,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Meppelink, Shannon M. 0000-0003-1294-7878","orcid":"https://orcid.org/0000-0003-1294-7878","contributorId":205653,"corporation":false,"usgs":true,"family":"Meppelink","given":"Shannon","email":"","middleInitial":"M.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":855594,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Valder, Joshua F. 0000-0003-3733-8868","orcid":"https://orcid.org/0000-0003-3733-8868","contributorId":220912,"corporation":false,"usgs":true,"family":"Valder","given":"Joshua F.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":855595,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Weis, Christopher P. 0000-0002-7678-1080","orcid":"https://orcid.org/0000-0002-7678-1080","contributorId":205667,"corporation":false,"usgs":false,"family":"Weis","given":"Christopher","email":"","middleInitial":"P.","affiliations":[{"id":37136,"text":"NIH/NIEHS","active":true,"usgs":false}],"preferred":false,"id":855596,"contributorType":{"id":1,"text":"Authors"},"rank":26}]}} ,{"id":70237665,"text":"70237665 - 2022 - Biosiliceous, organic-rich, and phosphatic facies of Triassic strata of northwest Alaska: Transect across a high-latitude, low-angle continental margin","interactions":[],"lastModifiedDate":"2022-10-18T14:11:24.037077","indexId":"70237665","displayToPublicDate":"2022-09-26T09:05:06","publicationYear":"2022","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Biosiliceous, organic-rich, and phosphatic facies of Triassic strata of northwest Alaska: Transect across a high-latitude, low-angle continental margin","docAbstract":"

The Shublik Formation (Middle and Upper Triassic) is a mixed siliciclastic-carbonate-phosphatic unit in northern Alaska. It generated oil found in Prudhoe Bay and other accumulations and is a prospective self-sourced resource play on Alaska’s North Slope. Its distal, deeper-water equivalent—the Otuk Formation—consists largely of radiolarian chert, mudstone, and limestone and contains potential gas accumulations in the Brooks Range foothills to the south. New petrographic, fossil, geochemical, spectral gamma-ray, and zircon U-Pb data yield insights into facies changes in these units, which were deposited across a shallowly dipping shelf margin in a high-latitude setting. Samples come from four localities along a transect that extends ~410 km from present-day northeast (proximal) to southwest (distal) in northwest Alaska. Proximal Shublik facies (Brontosaurus 1 well) contain abundant siliciclastic detritus and local phosphate. Shublik-Otuk transitional facies occur in the probable onshore extension of the Hanna Trough (Surprise Creek); new zircon U-Pb data indicate an early Norian age for a bentonite bed in this section. Distal Otuk facies (Red Dog district, Cape Lisburne) are fine grained, biosiliceous, and organic rich. New detrital zircon U-Pb data from a distinctive sandstone member in the Otuk Formation at Cape Lisburne reinforce previous interpretations of a provenance to the present-day northwest and indicate a protracted history of Triassic magmatism for this source area. Triassic facies patterns in northwestern Alaska were shaped by sea-level change, climate, and regional tectonism. Organic-rich facies developed best at times (Ladinian–middle Norian) and/or in settings (distal shelf, Hanna Trough) with minimal dilution of organic matter by other detritus.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Understanding the Monterey Formation and similar biosiliceous units across space and time","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Geological Society of America","doi":"10.1130/2022.2556(11)","usgsCitation":"Dumoulin, J.A., Whidden, K.J., Rouse, W.A., Lease, R.O., Boehlke, A., and O’Sullivan, P., 2022, Biosiliceous, organic-rich, and phosphatic facies of Triassic strata of northwest Alaska: Transect across a high-latitude, low-angle continental margin, chap. of Understanding the Monterey Formation and similar biosiliceous units across space and time, v. 556, p. 243-271, https://doi.org/10.1130/2022.2556(11).","productDescription":"29 p.","startPage":"243","endPage":"271","ipdsId":"IP-113618","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":446332,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1130/spe.s.20387097","text":"External Repository"},{"id":435677,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P924FY7V","text":"USGS data release","linkHelpText":"Geochemical, Geochronologic, Rock-Eval, and Spectral Gamma Ray Data for Selected Triassic Rocks in Northwestern Alaska"},{"id":408478,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -168.134765625,\n 66.8265202749748\n ],\n [\n -141.240234375,\n 66.8265202749748\n ],\n [\n -141.240234375,\n 71.41317683396566\n ],\n [\n -168.134765625,\n 71.41317683396566\n ],\n [\n -168.134765625,\n 66.8265202749748\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"556","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Dumoulin, Julie A. 0000-0003-1754-1287 dumoulin@usgs.gov","orcid":"https://orcid.org/0000-0003-1754-1287","contributorId":203209,"corporation":false,"usgs":true,"family":"Dumoulin","given":"Julie","email":"dumoulin@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":854909,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Whidden, Katherine J. 0000-0002-7841-2553 kwhidden@usgs.gov","orcid":"https://orcid.org/0000-0002-7841-2553","contributorId":3960,"corporation":false,"usgs":true,"family":"Whidden","given":"Katherine","email":"kwhidden@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":854910,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rouse, William A. 0000-0002-0790-370X wrouse@usgs.gov","orcid":"https://orcid.org/0000-0002-0790-370X","contributorId":4172,"corporation":false,"usgs":true,"family":"Rouse","given":"William","email":"wrouse@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":854911,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lease, Richard O. 0000-0003-2582-8966 rlease@usgs.gov","orcid":"https://orcid.org/0000-0003-2582-8966","contributorId":5098,"corporation":false,"usgs":true,"family":"Lease","given":"Richard","email":"rlease@usgs.gov","middleInitial":"O.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":854912,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":854913,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"O’Sullivan, Paul 0000-0002-7247-5107","orcid":"https://orcid.org/0000-0002-7247-5107","contributorId":254377,"corporation":false,"usgs":false,"family":"O’Sullivan","given":"Paul","email":"","affiliations":[{"id":51089,"text":"Geosep Services","active":true,"usgs":false}],"preferred":false,"id":854914,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70237275,"text":"70237275 - 2022 - Density estimation in terrestrial chelonian populations using spatial capture–recapture and search–encounter surveys","interactions":[],"lastModifiedDate":"2022-10-06T14:11:56.544618","indexId":"70237275","displayToPublicDate":"2022-09-26T09:02:49","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2334,"text":"Journal of Herpetology","active":true,"publicationSubtype":{"id":10}},"title":"Density estimation in terrestrial chelonian populations using spatial capture–recapture and search–encounter surveys","docAbstract":"

Having an accurate estimate of population size and density is imperative to the conservation of chelonian species and a central objective of many monitoring programs. Capture–recapture and related methods are widely used to obtain information about population size of chelonians. However, classical capture–recapture methods have strict spatial sampling requirements and do not account for lack of geographic closure caused by movement of individuals in and out of the surveyed landscape. Newly developed spatial capture–recapture (SCR) models address these limitations by specification of explicit models for spatial sampling as well as the spatial distribution of individuals in the population. Spatial capture–recapture models have not yet been applied to the study of chelonian populations. Here we demonstrate their application to a population of box turtles in Maryland that has been studied for 75 yr. Results support dramatic declines in population size of box turtles since the 1940s.

","language":"English","publisher":"Society for the Study of Amphibians and Reptiles","doi":"10.1670/21-016","usgsCitation":"Royle, J., and Turner, H., 2022, Density estimation in terrestrial chelonian populations using spatial capture–recapture and search–encounter surveys: Journal of Herpetology, v. 56, no. 3, p. 341-348, https://doi.org/10.1670/21-016.","productDescription":"8 p.","startPage":"341","endPage":"348","ipdsId":"IP-133699","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":408030,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland","otherGeospatial":"Patuxent Wildlife Research Center","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.83,\n 39.045\n ],\n [\n -76.805,\n 39.045\n ],\n [\n -76.805,\n 39.058\n ],\n [\n -76.83,\n 39.058\n ],\n [\n -76.83,\n 39.045\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"56","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Royle, J. Andrew 0000-0003-3135-2167 aroyle@usgs.gov","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":3504,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","email":"aroyle@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":853938,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Turner, Haley","contributorId":297369,"corporation":false,"usgs":false,"family":"Turner","given":"Haley","affiliations":[{"id":64381,"text":"Cherokee Federal","active":true,"usgs":false}],"preferred":false,"id":853939,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70239279,"text":"70239279 - 2022 - Flopy: The Python interface for MODFLOW","interactions":[],"lastModifiedDate":"2023-01-06T13:29:01.304947","indexId":"70239279","displayToPublicDate":"2022-09-26T07:27:45","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"Flopy: The Python interface for MODFLOW","docAbstract":"

No abstract available.

","language":"English","publisher":"National Ground Water Association","doi":"10.1111/gwat.13259","usgsCitation":"Leaf, A.T., and Fienen, M., 2022, Flopy: The Python interface for MODFLOW: Groundwater, v. 60, no. 6, p. 710-712, https://doi.org/10.1111/gwat.13259.","productDescription":"3 p.","startPage":"710","endPage":"712","ipdsId":"IP-143798","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":435678,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9EFHF9H","text":"USGS data release","linkHelpText":"Pleasant Lake worked Flopy example"},{"id":411484,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"60","issue":"6","noUsgsAuthors":false,"publicationDate":"2022-10-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Leaf, Andrew T. 0000-0001-8784-4924 aleaf@usgs.gov","orcid":"https://orcid.org/0000-0001-8784-4924","contributorId":5156,"corporation":false,"usgs":true,"family":"Leaf","given":"Andrew","email":"aleaf@usgs.gov","middleInitial":"T.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":860984,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fienen, Michael N. 0000-0002-7756-4651","orcid":"https://orcid.org/0000-0002-7756-4651","contributorId":245632,"corporation":false,"usgs":true,"family":"Fienen","given":"Michael N.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":860985,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70237714,"text":"70237714 - 2022 - Seismic sources in the aleutian cradle of tsunamis","interactions":[],"lastModifiedDate":"2022-10-20T11:39:33.387727","indexId":"70237714","displayToPublicDate":"2022-09-26T06:36:23","publicationYear":"2022","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":"Seismic sources in the aleutian cradle of tsunamis","docAbstract":"

No abstract available.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2022EO220464","usgsCitation":"Witter, R., Briggs, R.W., Dura, T., Engelhart, S.E., and Nelson, A., 2022, Seismic sources in the aleutian cradle of tsunamis: Eos, American Geophysical Union, HTML Document, https://doi.org/10.1029/2022EO220464.","productDescription":"HTML Document","ipdsId":"IP-141301","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":446338,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2022eo220464","text":"Publisher Index Page"},{"id":408565,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -153.01753004631848,\n 58.954512467372126\n ],\n [\n -155.52848796583467,\n 57.604110602569875\n ],\n [\n -162.54243742849994,\n 54.921337741058835\n ],\n [\n -169.50246745515184,\n 52.88918055859057\n ],\n [\n -175.74088622929068,\n 51.9653464082987\n ],\n [\n -180.1364229081721,\n 51.58019358750798\n ],\n [\n -178.75252536496689,\n 50.85572103364714\n ],\n [\n -175.2716203959842,\n 50.67321778066187\n ],\n [\n -170.68879052670908,\n 50.77528986439302\n ],\n [\n -162.56851728698663,\n 52.01585528620157\n ],\n [\n -157.00529311616856,\n 54.32685400784956\n ],\n [\n -151.80074718864444,\n 56.25824114672531\n ],\n [\n -151.02247085911068,\n 57.952031284050236\n ],\n [\n -151.39113250335174,\n 59.13661120389895\n ],\n [\n -153.01753004631848,\n 58.954512467372126\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Witter, Robert C. 0000-0002-1721-254X rwitter@usgs.gov","orcid":"https://orcid.org/0000-0002-1721-254X","contributorId":4528,"corporation":false,"usgs":true,"family":"Witter","given":"Robert C.","email":"rwitter@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":855334,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Briggs, Richard W. 0000-0001-8108-0046 rbriggs@usgs.gov","orcid":"https://orcid.org/0000-0001-8108-0046","contributorId":4136,"corporation":false,"usgs":true,"family":"Briggs","given":"Richard","email":"rbriggs@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":855335,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dura, Tina","contributorId":195530,"corporation":false,"usgs":false,"family":"Dura","given":"Tina","email":"","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":855336,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Engelhart, Simon E.","contributorId":60104,"corporation":false,"usgs":false,"family":"Engelhart","given":"Simon","email":"","middleInitial":"E.","affiliations":[{"id":6923,"text":"University of Rhode Island, Kingston, RI","active":true,"usgs":false}],"preferred":false,"id":855337,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nelson, Alan 0000-0001-7117-7098","orcid":"https://orcid.org/0000-0001-7117-7098","contributorId":216700,"corporation":false,"usgs":true,"family":"Nelson","given":"Alan","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":855338,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70237161,"text":"70237161 - 2022 - A study on the effect of site response on California seismic hazard map assessment","interactions":[],"lastModifiedDate":"2022-10-03T11:33:59.473924","indexId":"70237161","displayToPublicDate":"2022-09-26T06:31:11","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":12612,"text":"Frontiers in Earth Science: Geohazards and Georisks","active":true,"publicationSubtype":{"id":10}},"title":"A study on the effect of site response on California seismic hazard map assessment","docAbstract":"

Prior studies have repeatedly shown that probabilistic seismic hazard maps from several different countries predict higher shaking than that observed. Previous map assessments have not, however, considered the influence of site response on hazard. Seismologists have long acknowledged the influence of near-surface geology, in particular low-impedance sediment layers, on earthquake ground-motion at frequencies of engineering concern. Although the overall effects of site response are complex, modern ground-motion models (GMMs) account for site effects using terms based on VS30, the time-averaged shear-wave velocity in the upper 30 m of the Earth’s surface. In this study, we consider general implications of incorporating site terms from modern GMMs using site-specific VS30 as a proxy in probabilistic seismic hazard maps for California. At the long periods (1–5 s) that affect tall buildings, site terms amplify the mapped hazard by factors of 1–3 at many sites relative to maps calculated for the standard reference soft-rock site condition, VS30 = 760 m/s. However, at the short periods of ground-motion that are the main contributors to peak ground acceleration (PGA) and thus affect smaller structures, only negligible effects occur due to nonlinear deamplification of strong ground-motion at high frequencies. Nonlinear deamplification increases as the shaking level increases. For very strong shaking, deamplification can overcome the linear amplification, yielding net deamplification. We explore the implications of these results for the evaluation of hazard maps. Because site effects do not change the maps appreciably at short periods, we can exclude site response as an explanation for why the maps overpredict historically observed shaking as captured by the California Historical Intensity Mapping Project (CHIMP) dataset. The results are expected to be generalizable to regions that are comparable to California in terms of structure and seismicity rates. In low-to-moderate-seismicity regions where the hazard reflects weaker shaking, nonlinear site response is expected to be less important for the hazard.

","language":"English","publisher":"Frontiers","doi":"10.3389/feart.2022.931340","usgsCitation":"Gallahue, M.M., Salditch, L.M., Lucas, M.C., Neely, J.S., Stein, S., Abrahamson, N.A., Williams, T., and Hough, S.E., 2022, A study on the effect of site response on California seismic hazard map assessment: Frontiers in Earth Science: Geohazards and Georisks, v. 10, 931340, 11 p., https://doi.org/10.3389/feart.2022.931340.","productDescription":"931340, 11 p.","ipdsId":"IP-135357","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":446342,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/feart.2022.931340","text":"Publisher Index Page"},{"id":407779,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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A.","contributorId":115451,"corporation":false,"usgs":false,"family":"Abrahamson","given":"Norman","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":853522,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Williams, Tessa","contributorId":297145,"corporation":false,"usgs":false,"family":"Williams","given":"Tessa","email":"","affiliations":[{"id":6609,"text":"UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":853523,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hough, Susan E. 0000-0002-5980-2986","orcid":"https://orcid.org/0000-0002-5980-2986","contributorId":263442,"corporation":false,"usgs":true,"family":"Hough","given":"Susan","email":"","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":853524,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70239833,"text":"70239833 - 2022 - Wind turbine wakes can impact down-wind vegetation greenness","interactions":[],"lastModifiedDate":"2023-01-23T12:18:53.782104","indexId":"70239833","displayToPublicDate":"2022-09-26T06:16:05","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Wind turbine wakes can impact down-wind vegetation greenness","docAbstract":"

Global wind energy has expanded 5-fold since 2010 and is predicted to expand another 8–10-fold over the next 30 years. Wakes generated by wind turbines can alter downwind microclimates and potentially downwind vegetation. However, the design of past studies has made it difficult to isolate the impact of wake effects on vegetation from land cover change. We used hourly wind data to model wake and non-wake zones around 17 wind facilities across the U.S. and compared remotely-sensed vegetation greenness in wake and non-wake zones before and after construction. We located sampling sites only in the dominant vegetation type and in areas that were not disturbed before or after construction. We found evidence for wake effects on vegetation greenness at 10 of 17 facilities for portions of, or the entire growing season. Evidence included statistical significance in Before After Control Impact statistical models, differences >3% between expected and observed values of vegetation greenness, and consistent spatial patterns of anomalies in vegetation greenness relative to turbine locations and wind direction. Wakes induced both increases and decreases in vegetation greenness, which may be difficult to predict prior to construction. The magnitude of wake effects depended primarily on precipitation and to a lesser degree aridity. Wake effects did not show trends over time following construction, suggesting the changes impact vegetation greenness within a growing season, but do not accrue over years. Even small changes in vegetation greenness, similar to those found in this study, have been seen to affect higher trophic levels. Given the rapid global growth of wind energy, and the importance of vegetation condition for agriculture, grazing, wildlife, and carbon storage, understanding how wakes from wind turbines impact vegetation is essential to exploit or ameliorate these effects.

","language":"English","publisher":"IOP Science","doi":"10.1088/1748-9326/ac8da9","usgsCitation":"Diffendorfer, J., Vanderhoof, M.K., and Ancona, Z.H., 2022, Wind turbine wakes can impact down-wind vegetation greenness: Environmental Research Letters, v. 17, 104025, 14 p., https://doi.org/10.1088/1748-9326/ac8da9.","productDescription":"104025, 14 p.","ipdsId":"IP-136847","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":446345,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/ac8da9","text":"Publisher Index Page"},{"id":435679,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9P3J7GR","text":"USGS data release","linkHelpText":"Wind turbine wakes can impact down-wind vegetation greenness"},{"id":412204,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","noUsgsAuthors":false,"publicationDate":"2022-09-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Diffendorfer, James E. 0000-0003-1093-6948 jediffendorfer@usgs.gov","orcid":"https://orcid.org/0000-0003-1093-6948","contributorId":3208,"corporation":false,"usgs":true,"family":"Diffendorfer","given":"James E.","email":"jediffendorfer@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":862081,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vanderhoof, Melanie K. 0000-0002-0101-5533 mvanderhoof@usgs.gov","orcid":"https://orcid.org/0000-0002-0101-5533","contributorId":168395,"corporation":false,"usgs":true,"family":"Vanderhoof","given":"Melanie","email":"mvanderhoof@usgs.gov","middleInitial":"K.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":862082,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ancona, Zachary H. 0000-0001-5430-0218 zancona@usgs.gov","orcid":"https://orcid.org/0000-0001-5430-0218","contributorId":5578,"corporation":false,"usgs":true,"family":"Ancona","given":"Zachary","email":"zancona@usgs.gov","middleInitial":"H.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":862083,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70240259,"text":"70240259 - 2022 - Insights on multistage rock avalanche behavior from runout modeling constrained by seismic inversions","interactions":[],"lastModifiedDate":"2023-02-02T13:02:32.684492","indexId":"70240259","displayToPublicDate":"2022-09-25T07:01:18","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7167,"text":"Journal of Geophysical Research: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Insights on multistage rock avalanche behavior from runout modeling constrained by seismic inversions","docAbstract":"

Inversion of low-frequency regional seismic records to solve for a time series of bulk forces exerted on the earth by a landslide (a force-time function) is increasingly being used to infer volumes and dynamics of large, highly energetic landslides, such as rock avalanches and flowslides, and to provide calibration information on event dynamics and volumes for numerical landslide runout models. Much of the work to date using landslide runout modeling constrained by seismic data has focused on using single-phase models with frictional or velocity-weakening rheologies. Awareness of multistage landslide initiations is increasing, with discrete failures separated in time contributing to the final impact of an event. Our work utilizes a method for incorporating seismic data as a calibration constraint for landslide runout models, considering variable rheologies and different initiation conditions. This study presents a systematic examination of multiple rheologies and initiation conditions, and shows how these factors affect the force-time function derived from the landslide runout model. Our work confirms that, while rheology and fragmenting or initially coherent initiations affect the force-time function, multiple collapses separated by tens of seconds have the greatest impact on the shape and amplitude. We apply this method to the analysis of three real rock avalanches to better constrain plausible initiation conditions and rheology parameters using both seismic and field data. This study provides insights on how assumptions about the initiation dynamics of the source zone and the runout model definition can aid in the interpretation of seismic inversions for multistage rock avalanches.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2021JB023444","usgsCitation":"Mitchell, A., Allstadt, K.E., George, D.L., Aaron, J., McDougall, S., Moore, J.R., and Menounous, B., 2022, Insights on multistage rock avalanche behavior from runout modeling constrained by seismic inversions: Journal of Geophysical Research: Solid Earth, v. 127, no. 10, e2021JB023444, 29 p., https://doi.org/10.1029/2021JB023444.","productDescription":"e2021JB023444, 29 p.","ipdsId":"IP-134671","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":446348,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1029/2021jb023444","text":"External Repository"},{"id":412609,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"127","issue":"10","noUsgsAuthors":false,"publicationDate":"2022-10-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Mitchell, Andrew","contributorId":225513,"corporation":false,"usgs":false,"family":"Mitchell","given":"Andrew","email":"","affiliations":[{"id":41153,"text":"Department of Earth, Ocean and Atmospheric Sciences, University of British Columbia","active":true,"usgs":false}],"preferred":false,"id":863122,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":863123,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"George, David L. 0000-0002-5726-0255 dgeorge@usgs.gov","orcid":"https://orcid.org/0000-0002-5726-0255","contributorId":3120,"corporation":false,"usgs":true,"family":"George","given":"David","email":"dgeorge@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":863124,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Aaron, Jordan","contributorId":194904,"corporation":false,"usgs":false,"family":"Aaron","given":"Jordan","email":"","affiliations":[],"preferred":false,"id":863125,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McDougall, Scott","contributorId":194908,"corporation":false,"usgs":false,"family":"McDougall","given":"Scott","email":"","affiliations":[],"preferred":false,"id":863126,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Moore, Jeffrey R.","contributorId":194909,"corporation":false,"usgs":false,"family":"Moore","given":"Jeffrey","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":863127,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Menounous, Brian","contributorId":301940,"corporation":false,"usgs":false,"family":"Menounous","given":"Brian","email":"","affiliations":[{"id":65373,"text":"University of Northern British Columbia, Geography Program and Natural Resources and Environmental Studies Institute","active":true,"usgs":false}],"preferred":false,"id":863128,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70237048,"text":"70237048 - 2022 - Astrochronology of the Paleocene-Eocene Thermal Maximum on the Atlantic Coastal Plain","interactions":[],"lastModifiedDate":"2022-09-28T15:40:35.835405","indexId":"70237048","displayToPublicDate":"2022-09-24T10:35:16","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2842,"text":"Nature Communications","active":true,"publicationSubtype":{"id":10}},"title":"Astrochronology of the Paleocene-Eocene Thermal Maximum on the Atlantic Coastal Plain","docAbstract":"

The chronology of the Paleocene-Eocene Thermal Maximum (PETM, ~56 Ma) remains disputed, hampering complete understanding of the possible trigger mechanisms of this event. Here we present an astrochronology for the PETM carbon isotope excursion from Howards Tract, Maryland a paleoshelf environment, on the mid-Atlantic Coastal Plain. Statistical evaluation of variations in calcium content and magnetic susceptibility indicates astronomical forcing was involved and the PETM onset lasted about 6 kyr. The astrochronology and Earth system modeling suggest that the PETM onset occurred at an extreme in precession during a maximum in eccentricity, thus favoring high temperatures, indicating that astronomical forcing could have played a role in triggering the event. Ca content data on the paleo-shelf, along with other marine records, support the notion that a carbonate saturation overshoot followed global ocean acidification during the PETM.

","language":"English","publisher":"Nature Publications","doi":"10.1038/s41467-022-33390-x","usgsCitation":"Li, M., Bralower, T.J., Kump, L.R., Self-Trail, J., Zachos, J.C., Rush, W.D., and Robinson, M., 2022, Astrochronology of the Paleocene-Eocene Thermal Maximum on the Atlantic Coastal Plain: Nature Communications, v. 13, 5618, 13 p., https://doi.org/10.1038/s41467-022-33390-x.","productDescription":"5618, 13 p.","ipdsId":"IP-138026","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":446349,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41467-022-33390-x","text":"Publisher Index Page"},{"id":407515,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Delaware, Maryland, New Jersey, Virginia","otherGeospatial":"mid-Atlantic Coastal Plain","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.267578125,\n 40.463666324587685\n ],\n [\n -74.90478515625,\n 40.069664523297774\n ],\n [\n -75.4541015625,\n 39.83385008019448\n ],\n [\n -75.882568359375,\n 39.70718665682654\n ],\n [\n -77.0361328125,\n 39.12153746241925\n ],\n [\n -77.376708984375,\n 38.976492485539396\n ],\n [\n -77.71728515624999,\n 38.03078569382294\n ],\n [\n -78.01391601562499,\n 36.86204269508728\n ],\n [\n -78.0029296875,\n 36.589068371399115\n ],\n [\n -75.7177734375,\n 36.54494944148322\n ],\n [\n -74.59716796875,\n 38.84826438869913\n ],\n [\n -73.970947265625,\n 40.027614437486655\n ],\n [\n -73.970947265625,\n 40.40513069752789\n ],\n [\n -74.267578125,\n 40.463666324587685\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"13","noUsgsAuthors":false,"publicationDate":"2022-09-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Li, Mingsong 0000-0002-5542-8106","orcid":"https://orcid.org/0000-0002-5542-8106","contributorId":297047,"corporation":false,"usgs":false,"family":"Li","given":"Mingsong","email":"","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":853169,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bralower, Timothy J.","contributorId":211826,"corporation":false,"usgs":false,"family":"Bralower","given":"Timothy","email":"","middleInitial":"J.","affiliations":[{"id":13035,"text":"Department of Geosciences, Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":853170,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kump, Lee R.","contributorId":195147,"corporation":false,"usgs":false,"family":"Kump","given":"Lee","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":853171,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Self-Trail, Jean 0000-0002-3018-4985 jstrail@usgs.gov","orcid":"https://orcid.org/0000-0002-3018-4985","contributorId":147370,"corporation":false,"usgs":true,"family":"Self-Trail","given":"Jean","email":"jstrail@usgs.gov","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":853172,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zachos, James C.","contributorId":211829,"corporation":false,"usgs":false,"family":"Zachos","given":"James","email":"","middleInitial":"C.","affiliations":[{"id":38326,"text":"Earth & Planetary Sciences Department, University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":853173,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rush, William D. 0000-0002-8522-5684","orcid":"https://orcid.org/0000-0002-8522-5684","contributorId":297048,"corporation":false,"usgs":false,"family":"Rush","given":"William","email":"","middleInitial":"D.","affiliations":[{"id":27155,"text":"University of California Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":853174,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Robinson, Marci M. 0000-0002-9200-4097","orcid":"https://orcid.org/0000-0002-9200-4097","contributorId":261664,"corporation":false,"usgs":true,"family":"Robinson","given":"Marci M.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":853175,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70238908,"text":"70238908 - 2022 - The effects of cheatgrass invasion on US Great Basin carbon storage depend on interactions between plant community composition, precipitation seasonality, and soil climate regime","interactions":[],"lastModifiedDate":"2022-12-16T15:50:22.385463","indexId":"70238908","displayToPublicDate":"2022-09-24T09:44:09","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"The effects of cheatgrass invasion on US Great Basin carbon storage depend on interactions between plant community composition, precipitation seasonality, and soil climate regime","docAbstract":"
  1. Annual-grass invasions are transforming desert ecosystems in ways that affect ecosystem carbon (C) balance, but previous studies do not agree on the pattern, magnitude and direction of changes. A recent meta-analysis of 41 articles and 386 sites concludes that invasion by annual grasses such as cheatgrass (Bromus tectorum L) reduces C in biomass across the Great Basin (Nagy et al., 2021). Reanalysis reveals that whether cheatgrass affects biomass C stocks is not generalizable, but rather depends on the considerable variation in climate across the subject sites. Our analysis suggests that accurate Great Basin-scale estimates of cheatgrass effects on C balance are not yet possible.
  2. Addition of climate variables to the meta-analysis reveals that cheatgrass invasion (a) reduced C in above-ground biomass in relatively summer-wet sites but not in summer-dry sites, (b) increased surface soil C in sites with intermediate resistance and resilience classifications (R&R) but not in low R&R sites—that is, mesic/aridic soil climates and (c) did not affect deep soil C.
  3. Considering that cheatgrass has expanded most in relatively summer-dry sites and mesic/aridic sites, omission of climate factors leads to model overestimates of cheatgrass effects on C when extrapolating to larger areas. Estimates of cheatgrass effects on C would also be improved if the analysis considered that (a) perennial grasslands are a common community state in the Great Basin that have intermediary C relative to annual grasslands and sagebrush stands, that is the omission of perennial grasslands from analysis inflates the baseline C storage of uninvaded Great Basin ecosystems, and( b) cheatgrass does not often exist in stable monocultures and soil carbon can reflect current or recent presence of other species.
  4. Synthesis and applications. Invasions often reveal heterogeneity in ecosystem structure and function that is not otherwise evident, and the heterogeneity can influence estimation of the net impacts of the invaders. For cheatgrass and other invaders, we propose that formally accounting for the spatial variability of invasion on ecosystem functions will improve the estimation of their net effect on ecosystem C, and thus improve prospects for adjusting management practices to optimize C sequestration.
","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2664.14289","usgsCitation":"Maxwell, T.M., and Germino, M., 2022, The effects of cheatgrass invasion on US Great Basin carbon storage depend on interactions between plant community composition, precipitation seasonality, and soil climate regime: Journal of Applied Ecology, v. 59, no. 11, p. 2863-2873, https://doi.org/10.1111/1365-2664.14289.","productDescription":"11 p.","startPage":"2863","endPage":"2873","ipdsId":"IP-133434","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":488757,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://scholarworks.boisestate.edu/bio_facpubs/748","text":"External Repository"},{"id":410631,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"western United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -101.84343812653191,\n 48.94865191756597\n ],\n [\n -120.89716334634883,\n 48.94865191756597\n ],\n [\n -120.89716334634883,\n 35.68015387897607\n ],\n [\n -101.84343812653191,\n 35.68015387897607\n ],\n [\n -101.84343812653191,\n 48.94865191756597\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"59","issue":"11","noUsgsAuthors":false,"publicationDate":"2022-09-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Maxwell, Toby M","contributorId":299955,"corporation":false,"usgs":false,"family":"Maxwell","given":"Toby","email":"","middleInitial":"M","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":859121,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Germino, Matthew J. 0000-0001-6326-7579 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York\",\"nation\":\"USA \"}}]}","contact":"

Director, New York Water Science Center
U.S. Geological Survey
425 Jordan Road
Troy, NY 12180-8349

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In spite of overall improvements in air and water quality, biological stress from low pH and high concentrations of inorganic aluminum continue to impact fish and fish habitat in northeastern North America, with independent and interactive effects on individuals, populations and communities. Integrative indicators can therefore be useful in monitoring both impact and recovery across multiple scales. Using coupled water chemistry (pH, conductivity, and base cation and inorganic aluminum concentration), geographic (site elevation and watershed area) and biological (fish diversity, fish abundance, gill aluminum concentration and gill physiology) data, we developed an integrated indicator of acid aluminum stress across the White and Green mountains in central New England, USA. As has been established in a number of previous studies, preliminary analysis clearly indicated that across all sites, inorganic aluminum concentration was consistently greatest during the spring season. Structural Equation modelling (SEM) revealed that toxic conditions (concurrent low pH and high concentrations of inorganic aluminum) were well summarized with an integrated toxicity score, related to both base cation concentrations and elevation, with sites at higher elevations more likely to experience toxic conditions as well as low base cation concentrations. As hypothesized, fish diversity and abundance were negatively related to toxicity score. In spite of considerable variation among individuals, gill aluminum was positively related to toxicity score for both Atlantic salmon and brook trout. Observed elevated gill aluminum levels associated with reduced gill metabolic activity in Atlantic salmon smolts from impacted systems likely result in impaired osmoregulatory function and seawater tolerance. Overall, our results suggest that the integrated toxicity score metric is strongly associated with a syndrome of physiological stress, reduced abundance, and low species diversity for stream fishes in New England and can likely serve as a reliable indicator of continued impairment or recovery of acid-aluminum vulnerable systems in this ecoregion.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2022.109480","usgsCitation":"Zdasiuk, B.J., Chen, C.Y., McCormick, S.D., Nislow, K., Singley, J.G., and Kelly, J.T., 2022, Evaluating acid-aluminum stress in streams of the Northeastern U.S. at watershed, fish community and physiological scales: Ecological Indicators, v. 144, 109480, 12 p., https://doi.org/10.1016/j.ecolind.2022.109480.","productDescription":"109480, 12 p.","ipdsId":"IP-138154","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":446353,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolind.2022.109480","text":"Publisher Index Page"},{"id":408282,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Hampshire, Vermont","otherGeospatial":"Ammonoosuc basin, Merrimack basin, Saco River basin, West River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -72.80502319335938,\n 42.837709559849614\n ],\n [\n -72.54684448242188,\n 42.837709559849614\n ],\n [\n -72.54684448242188,\n 43.03577208929465\n ],\n [\n -72.80502319335938,\n 43.03577208929465\n ],\n [\n -72.80502319335938,\n 42.837709559849614\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -71.9879150390625,\n 43.757208878849376\n ],\n [\n -71.08978271484375,\n 43.757208878849376\n ],\n [\n -71.08978271484375,\n 44.5063000997406\n ],\n [\n -71.9879150390625,\n 44.5063000997406\n ],\n [\n -71.9879150390625,\n 43.757208878849376\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"144","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Zdasiuk, Benjamin J","contributorId":297871,"corporation":false,"usgs":false,"family":"Zdasiuk","given":"Benjamin","email":"","middleInitial":"J","affiliations":[{"id":39657,"text":"Dartmouth College","active":true,"usgs":false}],"preferred":false,"id":854525,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chen, Celia Y.","contributorId":145630,"corporation":false,"usgs":false,"family":"Chen","given":"Celia","email":"","middleInitial":"Y.","affiliations":[{"id":16179,"text":"Dartmouth College, Hanover NH","active":true,"usgs":false}],"preferred":false,"id":854526,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCormick, Stephen D. 0000-0003-0621-6200 smccormick@usgs.gov","orcid":"https://orcid.org/0000-0003-0621-6200","contributorId":139214,"corporation":false,"usgs":true,"family":"McCormick","given":"Stephen","email":"smccormick@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":854527,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nislow, Keith H.","contributorId":276357,"corporation":false,"usgs":false,"family":"Nislow","given":"Keith H.","affiliations":[{"id":36400,"text":"US Forest Service","active":true,"usgs":false}],"preferred":false,"id":854528,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Singley, Joel G","contributorId":297873,"corporation":false,"usgs":false,"family":"Singley","given":"Joel","email":"","middleInitial":"G","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":854529,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kelly, John T.","contributorId":212827,"corporation":false,"usgs":false,"family":"Kelly","given":"John","email":"","middleInitial":"T.","affiliations":[{"id":38688,"text":"Department of Biology & Environmental Science, University of New Haven","active":true,"usgs":false}],"preferred":false,"id":854530,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ]}