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No abstract available.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The codex of the endangered species act, volume II: The next fifty years","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Bloomsbury","usgsCitation":"Riley, S.J., and Fuller, A.K., 2023, Integrating social and environmental science in decision making for endangered species management, chap. 12 of The codex of the endangered species act, volume II: The next fifty years, p. 238-249.","productDescription":"12 p.","startPage":"238","endPage":"249","ipdsId":"IP-148881","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":502358,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Riley, Shawn J.","contributorId":202177,"corporation":false,"usgs":false,"family":"Riley","given":"Shawn","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":958882,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fuller, Angela K. 0000-0002-9247-7468 afuller@usgs.gov","orcid":"https://orcid.org/0000-0002-9247-7468","contributorId":3984,"corporation":false,"usgs":true,"family":"Fuller","given":"Angela","email":"afuller@usgs.gov","middleInitial":"K.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":958883,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70250792,"text":"70250792 - 2023 - Nitrate-nitrogen and total phosphorus river loads","interactions":[],"lastModifiedDate":"2024-01-09T16:09:43.991087","indexId":"70250792","displayToPublicDate":"2023-12-20T09:47:37","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"title":"Nitrate-nitrogen and total phosphorus river loads","docAbstract":"Nitrate-nitrogen and total phosphorus loads from the major rivers draining Illinois were updated through the 2021 water year (Figure 3.1). Beginning with the 2023 biennial update to the Illinois NLRS, nutrient loads were estimated using data from the U.S. Geological Survey continuous monitoring stations rather than the original Illinois EPA monitoring stations. To maintain consistency with previous biennial report updates, the loads from the new sites were rescaled to match the original drainage areas (Table 3.1). As before, the statewide nutrient load was estimated by summing the loads of the eight major rivers adjusting for out-of-state contributions and unmonitored areas.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Illinois nutrient loss reduction strategy 2023 biennial update","largerWorkSubtype":{"id":2,"text":"State or Local Government Series"},"language":"English","publisher":"Illinois EPA","usgsCitation":"Hodson, T.O., 2023, Nitrate-nitrogen and total phosphorus river loads, 11 p.","productDescription":"11 p.","startPage":"25","endPage":"35","ipdsId":"IP-148328","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":424178,"rank":2,"type":{"id":15,"text":"Index 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\"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hodson, Timothy O. 0000-0003-0962-5130","orcid":"https://orcid.org/0000-0003-0962-5130","contributorId":78634,"corporation":false,"usgs":true,"family":"Hodson","given":"Timothy","email":"","middleInitial":"O.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":891486,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70250609,"text":"dr1166 - 2023 - Evaluating water-quality conditions in the mainstem and tidal reaches of the Merrimack River in Massachusetts, June to September 2020","interactions":[],"lastModifiedDate":"2026-02-04T20:00:04.263836","indexId":"dr1166","displayToPublicDate":"2023-12-20T08:50:00","publicationYear":"2023","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":"1166","displayTitle":"Evaluating Water-Quality Conditions in the Mainstem and Tidal Reaches of the Merrimack River in Massachusetts, June to September 2020","title":"Evaluating water-quality conditions in the mainstem and tidal reaches of the Merrimack River in Massachusetts, June to September 2020","docAbstract":"

In summer and early fall (June to September) 2020, water-quality data were collected at 13 stations along the mainstem of the Merrimack River and into the Merrimack River estuary. The data are allocated among three different datasets: discrete water sample data, discrete vertical profile data, and continuous data. The collective purpose of these datasets is to enable assessment of the overall water-quality conditions in the Merrimack River and estuary and to identify areas for potentially more targeted water-quality monitoring in the future.

The highest concentrations of nutrients—nitrogen and phosphorus—were found at the stations downstream from wastewater treatment plants in Lowell, Lawrence, and Haverhill. Nutrient concentrations measured in the Merrimack River estuary were not as high as those measured in the Merrimack River, indicating that other processes are affecting nutrient concentrations in the system. These data were collected coincident with a severe flash drought in New England. Analysis of the vertical profile and continuous data indicated that, for intermittent periods up to 5 days, water quality in some sections of the Merrimack River may not support designated uses for the waterbody as established in the Massachusetts surface water quality standards.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dr1166","collaboration":"Prepared in cooperation with the Massachusetts Department of Environmental Protection","usgsCitation":"Laabs, K., Beaudoin, C., Sorenson, J., and Bissell, A., 2023, Evaluating water-quality conditions in the mainstem and tidal reaches of the Merrimack River in Massachusetts, June to September 2020: U.S. Geological Survey Data Report 1166, 19 p., https://doi.org/10.3133/dr1166","productDescription":"Report: vi, 19 p.; Data Release","numberOfPages":"19","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-132656","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":423766,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9H19THP","text":"USGS data release","linkHelpText":"Water quality data for discrete samples and continuous monitoring on the Merrimack River, Massachusetts, June to September 2020"},{"id":423762,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/dr/1166/dr1166.pdf","text":"Report","size":"1.77 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DR 1166"},{"id":423761,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/dr/1166/coverthb.jpg"},{"id":499550,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_115711.htm","linkFileType":{"id":5,"text":"html"}},{"id":423765,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/dr/1166/images/"},{"id":423764,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/dr/1166/dr1166.XML"},{"id":423763,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/dr1166/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"DR 1166"}],"country":"United States","state":"Massachusetts","otherGeospatial":"Merrimack River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -70.49210277817261,\n 42.90875513880272\n ],\n [\n -71.8214484812977,\n 42.90875513880272\n ],\n [\n -71.8214484812977,\n 42.34696579329744\n ],\n [\n -70.49210277817261,\n 42.34696579329744\n ],\n [\n -70.49210277817261,\n 42.90875513880272\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"

Director, New England Water Science Center
U.S. Geological Survey
10 Bearfoot Road
Northborough, MA 01532

","tableOfContents":"","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2023-12-20","noUsgsAuthors":false,"publicationDate":"2023-12-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Laabs, Kaitlin L. 0000-0002-7798-3485","orcid":"https://orcid.org/0000-0002-7798-3485","contributorId":210817,"corporation":false,"usgs":true,"family":"Laabs","given":"Kaitlin L.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":890551,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beaudoin, Casey 0000-0001-9021-0447","orcid":"https://orcid.org/0000-0001-9021-0447","contributorId":332585,"corporation":false,"usgs":true,"family":"Beaudoin","given":"Casey","email":"","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":890553,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sorenson, Jason R. 0000-0001-5553-8594","orcid":"https://orcid.org/0000-0001-5553-8594","contributorId":203249,"corporation":false,"usgs":true,"family":"Sorenson","given":"Jason R.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":890552,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bissell, Alex 0000-0003-1379-2468","orcid":"https://orcid.org/0000-0003-1379-2468","contributorId":332586,"corporation":false,"usgs":true,"family":"Bissell","given":"Alex","email":"","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":890554,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70250795,"text":"70250795 - 2023 - Total shortening estimates across the western Greater Caucasus Mountains from balanced cross sections and area balancing","interactions":[],"lastModifiedDate":"2024-01-05T13:00:22.667716","indexId":"70250795","displayToPublicDate":"2023-12-20T06:54:03","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":14442,"text":"Tektonika","active":true,"publicationSubtype":{"id":10}},"title":"Total shortening estimates across the western Greater Caucasus Mountains from balanced cross sections and area balancing","docAbstract":"

The Greater Caucasus orogen forms the northern edge of the Arabia-Eurasia collision zone. Although the orogen has long been assumed to exhibit dominantly thick-skinned style deformation via reactivation of high-angle extensional faults, recent work suggests the range may have accommodated several hundred kilometers or more of shortening since its ~30 Ma initiation, and this shortening may be accommodated via thin-skinned, imbricate fan-style deformation associated with underthrusting and/or subduction. However, robust shortening estimates based upon surface geologic observations are lacking. Here we present line-length and area balanced cross sections along two transects across the western Greater Caucasus that provide minimum shortening estimates of 130-200 km. These cross sections demonstrate that a thin-skinned structural style provides a viable explanation for the structure of the Greater Caucasus, and highlight major structures that may accommodate additional, but unconstrained, shortening.

","language":"English","publisher":"Tektonika","doi":"10.55575/tektonika2023.1.2.50","usgsCitation":"Trexler, C.C., Cowgill, E.S., Vasey, D.A., and Niemi, N.A., 2023, Total shortening estimates across the western Greater Caucasus Mountains from balanced cross sections and area balancing: Tektonika, v. 1, no. 2, p. 198-208, https://doi.org/10.55575/tektonika2023.1.2.50.","productDescription":"11 p.","startPage":"198","endPage":"208","ipdsId":"IP-152847","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":441391,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.55575/tektonika2023.1.2.50","text":"Publisher Index Page"},{"id":424130,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Greater Caucasus Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 39.05209872803812,\n 44.42730017114036\n ],\n [\n 39.05209872803812,\n 38.36900156254285\n ],\n [\n 50.917333103038374,\n 38.36900156254285\n ],\n [\n 50.917333103038374,\n 44.42730017114036\n ],\n [\n 39.05209872803812,\n 44.42730017114036\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"1","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Trexler, Charles Cashman 0000-0001-5046-9729","orcid":"https://orcid.org/0000-0001-5046-9729","contributorId":257823,"corporation":false,"usgs":true,"family":"Trexler","given":"Charles","email":"","middleInitial":"Cashman","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":891502,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cowgill, Eric S. 0000-0001-6017-4748","orcid":"https://orcid.org/0000-0001-6017-4748","contributorId":332616,"corporation":false,"usgs":false,"family":"Cowgill","given":"Eric","email":"","middleInitial":"S.","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":891503,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vasey, Dylan A 0000-0002-2182-4733","orcid":"https://orcid.org/0000-0002-2182-4733","contributorId":293645,"corporation":false,"usgs":false,"family":"Vasey","given":"Dylan","email":"","middleInitial":"A","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":891504,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Niemi, Nathan A. 0000-0002-3380-3024","orcid":"https://orcid.org/0000-0002-3380-3024","contributorId":332951,"corporation":false,"usgs":false,"family":"Niemi","given":"Nathan","email":"","middleInitial":"A.","affiliations":[{"id":37387,"text":"University of Michigan","active":true,"usgs":false}],"preferred":false,"id":891505,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70250593,"text":"pp1842LL - 2023 - The effects of management practices on grassland birds—Bobolink (Dolichonyx oryzivorus)","interactions":[{"subject":{"id":70250593,"text":"pp1842LL - 2023 - The effects of management practices on grassland birds—Bobolink (Dolichonyx oryzivorus)","indexId":"pp1842LL","publicationYear":"2023","noYear":false,"chapter":"LL","displayTitle":"The Effects of Management Practices on Grassland Birds—Bobolink (Dolichonyx oryzivorus)","title":"The effects of management practices on grassland birds—Bobolink (Dolichonyx oryzivorus)"},"predicate":"IS_PART_OF","object":{"id":70203022,"text":"pp1842 - 2019 - The effects of management practices on grassland birds","indexId":"pp1842","publicationYear":"2019","noYear":false,"title":"The effects of management practices on grassland birds"},"id":1}],"isPartOf":{"id":70203022,"text":"pp1842 - 2019 - The effects of management practices on grassland birds","indexId":"pp1842","publicationYear":"2019","noYear":false,"title":"The effects of management practices on grassland birds"},"lastModifiedDate":"2024-06-26T14:36:14.181107","indexId":"pp1842LL","displayToPublicDate":"2023-12-19T13:44:15","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1842","chapter":"LL","displayTitle":"The Effects of Management Practices on Grassland Birds—Bobolink (Dolichonyx oryzivorus)","title":"The effects of management practices on grassland birds—Bobolink (Dolichonyx oryzivorus)","docAbstract":"

Keys to Bobolink (Dolichonyx oryzivorus) management are providing large areas of suitable habitat (for example, native or tame grasslands of moderate vegetative height and density, low shrub density, and moderate litter and forb cover), and protecting nesting habitat from disturbance during the breeding season. Bobolinks have been reported to use habitats with 10–166 centimeters (cm) average vegetation height, 6–75 cm visual obstruction reading, 17–65 percent grass cover, 3–50 percent forb cover, less than or equal to (≤) 22 percent shrub cover, ≤38 percent bare ground, 5–39 percent litter cover, and ≤9 cm litter depth.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1842LL","usgsCitation":"Shaffer, J.A., Igl, L.D., Johnson, D.H., Sondreal, M.L., Goldade, C.M., Zimmerman, A.L., Wooten, T.L., and Euliss, B.R., 2023, The effects of management practices on grassland birds—Bobolink (Dolichonyx oryzivorus), chap. LL of Johnson, D.H., Igl, L.D., Shaffer, J.A., and DeLong, J.P., eds., The effects of management practices on grassland birds: U.S. Geological Survey Professional Paper 1842, 44 p., https://doi.org/10.3133/pp1842LL.","productDescription":"v, 44 p.","numberOfPages":"54","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-097127","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":423745,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/pp/1842/ll/coverthb.jpg"},{"id":423746,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1842/ll/pp1842ll.pdf","text":"Report","size":"2.68 MB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1842–LL"}],"contact":"

Director, Northern Prairie Wildlife Research Center
U.S. Geological Survey
8711 37th Street Southeast
Jamestown, North Dakota 58401

Contact Pubs Warehouse

","tableOfContents":"","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2023-12-19","noUsgsAuthors":false,"publicationDate":"2023-12-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Shaffer, Jill A. 0000-0003-3172-0708","orcid":"https://orcid.org/0000-0003-3172-0708","contributorId":214803,"corporation":false,"usgs":true,"family":"Shaffer","given":"Jill A.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":890488,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Igl, Lawrence D. 0000-0003-0530-7266","orcid":"https://orcid.org/0000-0003-0530-7266","contributorId":220514,"corporation":false,"usgs":true,"family":"Igl","given":"Lawrence D.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":890489,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Douglas H. 0000-0002-7778-6641","orcid":"https://orcid.org/0000-0002-7778-6641","contributorId":221269,"corporation":false,"usgs":true,"family":"Johnson","given":"Douglas H.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":890490,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sondreal, Marriah L.","contributorId":215631,"corporation":false,"usgs":false,"family":"Sondreal","given":"Marriah","email":"","middleInitial":"L.","affiliations":[{"id":39297,"text":"former U.S. Geological Survey employee","active":true,"usgs":false}],"preferred":false,"id":890491,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Goldade, Christopher M.","contributorId":215632,"corporation":false,"usgs":false,"family":"Goldade","given":"Christopher","email":"","middleInitial":"M.","affiliations":[{"id":39297,"text":"former U.S. Geological Survey employee","active":true,"usgs":false}],"preferred":false,"id":890492,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zimmerman, Amy L.","contributorId":217210,"corporation":false,"usgs":false,"family":"Zimmerman","given":"Amy","email":"","middleInitial":"L.","affiliations":[{"id":39297,"text":"former U.S. Geological Survey employee","active":true,"usgs":false}],"preferred":false,"id":890493,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wooten, Travis L.","contributorId":215633,"corporation":false,"usgs":false,"family":"Wooten","given":"Travis","email":"","middleInitial":"L.","affiliations":[{"id":39297,"text":"former U.S. Geological Survey employee","active":true,"usgs":false}],"preferred":false,"id":890494,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Euliss, Betty R.","contributorId":191881,"corporation":false,"usgs":false,"family":"Euliss","given":"Betty","email":"","middleInitial":"R.","affiliations":[{"id":24583,"text":"former USGS employee","active":true,"usgs":false}],"preferred":false,"id":890495,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70250607,"text":"ofr20231076 - 2023 - Preliminary geologic map of the Southern Santa Rosa Mountains and Borrego Badlands, San Diego County, Southern California","interactions":[],"lastModifiedDate":"2026-02-11T21:44:26.272299","indexId":"ofr20231076","displayToPublicDate":"2023-12-19T13:22:44","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-1076","displayTitle":"Preliminary Geologic Map of the Southern Santa Rosa Mountains and Borrego Badlands, San Diego County, Southern California","title":"Preliminary geologic map of the Southern Santa Rosa Mountains and Borrego Badlands, San Diego County, Southern California","docAbstract":"

This investigation delineates the geologic framework of an area of 75 square kilometers (km2) located west of the Salton Sea in southern California (fig. 1, on sheet 1). The study area encompasses the south flank of the Santa Rosa Mountains and the eastern part of the Borrego Badlands (sheet 1). In this study area, regionally important stratigraphic and structural elements collectively inform the late Cenozoic geologic evolution of the Anza-Borrego sector of the Salton Trough province. Critical stratigraphic and structural elements in the map area include the following:

  1. The well exposed sequence of late Cenozoic, nonmarine sedimentary rocks that filled the Anza-Borrego subbasin (fig. 1) of the Salton Trough;
  2. A tectonic boundary that—in the southern Santa Rosa Mountains—separates the sedimentary strata from underlying crystalline rocks of Peninsular Ranges type. This tectonic boundary, named the West Salton Detachment Fault System by Axen and Fletcher (1998), is projected to underlie all late Cenozoic sedimentary strata in the Anza-Borrego subbasin of the Salton Trough;
  3. A variety of transpressional, transtensional, and strike-slip structures that have deformed the late Cenozoic sedimentary strata and collectively guided syntectonic and posttectonic depositional events within the Anza-Borrego subbasin of the Salton Trough; and
  4. The southeasternmost surface expression of the Clark Fault, a major strand of the dextral San Jacinto Fault Zone.

Geologic mapping and analysis for this investigation focused on clarifying geologic relations among these four stratigraphic and structural aspects in the map area.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20231076","usgsCitation":"Pettinga, J.R., Dudash, S.L., and Cossette, P.M., 2023, Preliminary Geologic Map of the Southern Santa Rosa Mountains and Borrego Badlands, San Diego County, Southern California: U.S. Geological Survey Open-File Report 2023–1076, scale 1:12,000, https://doi.org/10.3133/ofr20231076.","productDescription":"2 Plates: 70.66 x 31.92 inches and 51.22 x 32.64 inches; Data Release","onlineOnly":"Y","ipdsId":"IP-100617","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":423753,"rank":2,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/of/2023/1076/ofr20231076_sheet1.pdf","text":"Sheet 1","size":"13 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":423752,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2023/1076/covrthb.jpg"},{"id":499789,"rank":5,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_115708.htm","linkFileType":{"id":5,"text":"html"}},{"id":423768,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9L8YSQX","text":"USGS Data Release","linkHelpText":"Digital Database for the Preliminary Geologic Map of the Southern Santa Rosa Mountains and Borrego Badlands, San Diego County, Southern California"},{"id":423754,"rank":3,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/of/2023/1076/ofr20231076_sheet2.pdf","text":"Sheet 2","size":"3 MB","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"California","otherGeospatial":"Borrego Badlands, southern Santa Rosa Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -116.208333,\n 33.316667\n ],\n [\n -116.208333,\n 33.25\n ],\n [\n -116.083333,\n 33.25\n ],\n [\n -116.083333,\n 33.316667\n ],\n [\n -116.208333,\n 33.316667\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"

Geology, Minerals, Energy, & Geophysics Science Center
U.S. Geological Survey
Building 19, 350 N. Akron Rd.
P.O. Box 158
Moffett Field, CA 94035

","tableOfContents":"","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2023-12-19","noUsgsAuthors":false,"publicationDate":"2023-12-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Pettinga, Jarg R. 0000-0002-5299-3265","orcid":"https://orcid.org/0000-0002-5299-3265","contributorId":329743,"corporation":false,"usgs":false,"family":"Pettinga","given":"Jarg","email":"","middleInitial":"R.","affiliations":[{"id":78707,"text":"University of Canterbury Christchurch, New Zealand","active":true,"usgs":false}],"preferred":true,"id":890545,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dudash, Stephanie L. 0000-0001-8728-5915 sdudash@usgs.gov","orcid":"https://orcid.org/0000-0001-8728-5915","contributorId":5911,"corporation":false,"usgs":true,"family":"Dudash","given":"Stephanie","email":"sdudash@usgs.gov","middleInitial":"L.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":890546,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cossette, Pamela M. 0000-0002-9608-6595 pcossette@usgs.gov","orcid":"https://orcid.org/0000-0002-9608-6595","contributorId":1458,"corporation":false,"usgs":true,"family":"Cossette","given":"Pamela","email":"pcossette@usgs.gov","middleInitial":"M.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":890547,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70250591,"text":"fs20233050 - 2023 - Your land, your water—Using research to guide conservation practices on local farms in the Chesapeake Bay watershed","interactions":[],"lastModifiedDate":"2026-02-09T17:53:25.96033","indexId":"fs20233050","displayToPublicDate":"2023-12-19T10:15:00","publicationYear":"2023","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":"2023-3050","displayTitle":"Your Land, Your Water: Using Research to Guide Conservation Practices on Local Farms in the Chesapeake Bay Watershed","title":"Your land, your water—Using research to guide conservation practices on local farms in the Chesapeake Bay watershed","docAbstract":"

Agricultural lands are an important part of the economy and heritage of the Chesapeake Bay watershed and are a focus of conservation activities. Streams and rivers around farms provide communities with drinking water and recreational opportunities, but these local benefits can be impaired by elevated nutrient and sediment concentrations. Compared to inputs from the atmosphere, wastewater, and urban and suburban areas, agricultural lands are the largest source of nutrients and sediment in many Chesapeake Bay streams. Farmers are voluntary conservation partners and have an important role in improving water-quality conditions. This fact sheet summarizes recent scientific insights from the U.S. Geological Survey (USGS) that can help farmers use conservation practices and their knowledge of local site conditions to achieve cleaner water.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20233050","usgsCitation":"Webber, J.S., Clune, J.W., Soroka, A.M., and Hyer, K.E., 2023, Your land, your water—Using research to guide conservation practices on local farms in the Chesapeake Bay watershed: U.S. Geological Survey Fact Sheet 2023–3050, 4 p., https://doi.org/10.3133/fs20233050.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-155220","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true},{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true},{"id":5067,"text":"Northeast Regional Director's Office","active":true,"usgs":true},{"id":37280,"text":"Virginia and West Virginia Water Science Center 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Director, Virginia and West Virginia Water Science Center
U.S. Geological Survey
1730 East Parham Road
Richmond, Virginia 23228

Contact Pubs Warehouse

","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2023-12-19","noUsgsAuthors":false,"publicationDate":"2023-12-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Webber, James S. 0000-0001-6636-1368","orcid":"https://orcid.org/0000-0001-6636-1368","contributorId":222000,"corporation":false,"usgs":true,"family":"Webber","given":"James","email":"","middleInitial":"S.","affiliations":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"preferred":true,"id":890480,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clune, John W. 0000-0002-3563-1975","orcid":"https://orcid.org/0000-0002-3563-1975","contributorId":205148,"corporation":false,"usgs":true,"family":"Clune","given":"John W.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":890481,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Soroka, Alexander M. 0000-0002-8002-5229","orcid":"https://orcid.org/0000-0002-8002-5229","contributorId":201664,"corporation":false,"usgs":true,"family":"Soroka","given":"Alexander","email":"","middleInitial":"M.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":890482,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hyer, Kenneth 0000-0002-7156-7472 kenhyer@usgs.gov","orcid":"https://orcid.org/0000-0002-7156-7472","contributorId":173409,"corporation":false,"usgs":true,"family":"Hyer","given":"Kenneth","email":"kenhyer@usgs.gov","affiliations":[{"id":5067,"text":"Northeast Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":890483,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70250606,"text":"ofr20231090 - 2023 - Influence of a guide net on the presence and behavior of fish near the selective water withdrawal structure in Lake Billy Chinook, Oregon, 2022","interactions":[],"lastModifiedDate":"2026-02-18T21:58:29.869066","indexId":"ofr20231090","displayToPublicDate":"2023-12-19T10:10:34","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-1090","displayTitle":"Influence of a Guide Net on the Presence and Behavior of Fish Near the Selective Water Withdrawal Structure in Lake Billy Chinook, Oregon, 2022","title":"Influence of a guide net on the presence and behavior of fish near the selective water withdrawal structure in Lake Billy Chinook, Oregon, 2022","docAbstract":"

Imaging sonar was used to assess the influence of a fish guidance net, installed at the entrances to the selective water withdrawal (SWW) intake structure, in the forebay of Round Butte Dam, Oregon, on behavior, abundance, and timing of fish during the spring of 2022. The purposes of the SWW are (1) to direct surface currents in the forebay to attract and collect downriver migrating juvenile salmonid smolts (Chinook salmon [Oncorhynchus tshawytscha], sockeye salmon [O. nerka], and steelhead [O. mykiss]) from Lake Billy Chinook and (2) to enable operators of the SWW to withdraw water from surface and benthic elevations in the reservoir to manage downriver water temperatures. Part of the evaluation to determine how well the structure performs at collecting juvenile salmonids is (1) to regularly assess how fish are approaching the entrance, and (2) determine if operational flows and the installation of a guidance (lead) net near the SWW structure entrance can be optimized to increase the attraction of smolts present in the forebay of Lake Billy Chinook. The goal of this study was to provide data about the effects of the installation of a lead net on the movements and behaviors of juvenile salmonids near the entrance to the SWW to help inform decisions to improve downstream passage solutions.

Two imaging sonar units were deployed during the spring 2022 smolt out-migration period. One unit monitored fish movements near the south entrance and one unit monitored movements near the north entrance of the SWW, with the lead net between the two entrances. Both smolt and bull trout (Salvelinus confluentus)-size fish were regularly observed near the entrances, with greater abundances observed at night, corresponding with greater discharge through the SWW, as opposed to during the day when discharge was reduced. Smolt-size fish groups were primarily observed near the interior halves of each SWW entrance, and greater abundances of fish were observed at the south entrance. Increased counts of bull trout-size fish coincided with the increased abundances of smolt-size fish. Overall, the results indicate that (1) smolt-size fish were more abundant near the entrance of the SWW during periods of increased discharge, (2) bull trout-size fish were present at the SWW, and (3) a greater percentage of smolt-size fish were observed directed toward the entrances of the SWW during periods of increased discharge. The addition of the lead net may assist in orienting fish toward the entrances to the SWW.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20231090","collaboration":"Prepared in cooperation with Portland General Electric","usgsCitation":"Smith, C.D., and Hatton, T.W., 2023, Influence of a guide net on the presence and behavior of fish near the selective water withdrawal structure in Lake Billy Chinook, Oregon, 2022: U.S. Geological Survey Open-File Report 2023–1090, 25 p., https://doi.org/10.3133/ofr20231090.","productDescription":"vii, 25 p.","onlineOnly":"Y","ipdsId":"IP-155570","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":423749,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20231090/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2023-1090"},{"id":423751,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2023/1090/ofr20231090.XML"},{"id":423750,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2023/1090/Images"},{"id":423747,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2023/1090/ofr20231090.jpg"},{"id":423748,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2023/1090/ofr20231090.pdf","text":"Report","size":"10.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2023-1090"},{"id":500154,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_115707.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Oregon","otherGeospatial":"Lake Billy Chinook","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -121.64591331853623,\n 44.79048612033958\n ],\n [\n -121.64591331853623,\n 44.35814579483878\n ],\n [\n -121.03356092450966,\n 44.35814579483878\n ],\n [\n -121.03356092450966,\n 44.79048612033958\n ],\n [\n -121.64591331853623,\n 44.79048612033958\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"

Director, Western Fisheries Research Center
U.S. Geological Survey
6505 NE 65th Street
Seattle, Washington 98115-5016

","tableOfContents":"","publishedDate":"2023-12-19","noUsgsAuthors":false,"publicationDate":"2023-12-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, Collin D. 0000-0003-4184-5686 cdsmith@usgs.gov","orcid":"https://orcid.org/0000-0003-4184-5686","contributorId":7915,"corporation":false,"usgs":true,"family":"Smith","given":"Collin D.","email":"cdsmith@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":890543,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hatton, Tyson W. 0000-0002-2874-0719","orcid":"https://orcid.org/0000-0002-2874-0719","contributorId":9112,"corporation":false,"usgs":true,"family":"Hatton","given":"Tyson W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":890544,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70257399,"text":"70257399 - 2023 - An amplicon genotyping panel suitable for species identification and population genetics in sauger (Sander canadensis) and walleye (Sander vitreus)","interactions":[],"lastModifiedDate":"2024-08-30T14:57:39.679975","indexId":"70257399","displayToPublicDate":"2023-12-19T07:49:59","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1325,"text":"Conservation Genetics Resources","active":true,"publicationSubtype":{"id":10}},"title":"An amplicon genotyping panel suitable for species identification and population genetics in sauger (Sander canadensis) and walleye (Sander vitreus)","docAbstract":"

Sauger (Sander canadensis) and walleye (Sander vitreus) are closely related North American fish species that are often managed by fishery agencies throughout their ranges. However, genotyping resources for sauger are presently limited to a small set of microsatellite loci. We evaluated whether primers in an existing walleye genotyping-in-thousands panel could amplify single nucleotide polymorphism loci (SNPs) in sauger. We identified 71 primer pairs that amplify 118 SNPs in both species. Allele frequency differences were large enough to confidently distinguish the species and identify hybrids. Additionally, we identified 41 loci with observed heterozygosity > 0.1 in sauger; these markers may be useful for simple population genetic analyses and parentage analysis when few contributors are present and for differentiating highly structured populations.

","language":"English","publisher":"Springer Link","doi":"10.1007/s12686-023-01329-z","usgsCitation":"Homola, J.J., Larson, W., and Albosta, P., 2023, An amplicon genotyping panel suitable for species identification and population genetics in sauger (Sander canadensis) and walleye (Sander vitreus): Conservation Genetics Resources, v. 16, p. 103-110, https://doi.org/10.1007/s12686-023-01329-z.","productDescription":"8 p.","startPage":"103","endPage":"110","ipdsId":"IP-147654","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":467066,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1007/s12686-023-01329-z","text":"External Repository"},{"id":433368,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota, 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\"}}]}","volume":"16","noUsgsAuthors":false,"publicationDate":"2023-12-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Homola, Jared Joseph 0000-0003-3821-7224","orcid":"https://orcid.org/0000-0003-3821-7224","contributorId":303741,"corporation":false,"usgs":true,"family":"Homola","given":"Jared","email":"","middleInitial":"Joseph","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":910250,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Larson, Wesley A.","contributorId":342639,"corporation":false,"usgs":false,"family":"Larson","given":"Wesley A.","affiliations":[{"id":38436,"text":"National Oceanic and Atmospheric Administration","active":true,"usgs":false}],"preferred":false,"id":910251,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Albosta, Paul","contributorId":342642,"corporation":false,"usgs":false,"family":"Albosta","given":"Paul","email":"","affiliations":[{"id":81904,"text":"University of Wisconsin – Stevens Point,","active":true,"usgs":false}],"preferred":false,"id":910252,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70250610,"text":"70250610 - 2023 - Examining the complex relations between climate and streamflow in the mid-atlantic region of the United States","interactions":[],"lastModifiedDate":"2023-12-20T12:41:47.680366","indexId":"70250610","displayToPublicDate":"2023-12-19T06:39:13","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10763,"text":"Environmental Research Communications","active":true,"publicationSubtype":{"id":10}},"title":"Examining the complex relations between climate and streamflow in the mid-atlantic region of the United States","docAbstract":"

We explored the complex relations between climate and streamflow in the Mid-Atlantic region of the United States. In 124 watersheds across this region, we quantified spatial and temporal variation in air temperature (AT), precipitation (P), and streamflow (Q) from 1981 through 2020. Upward directional trends in monthly values of AT, P, and Q indicated an increase of 0.27–1.9 degrees Celsius, 0.12–1.9 millimeters day−1, and 0.01–7.1 cubic meters s−1 day−1, respectively, over the 40-year period. Comparison of the first 20 years to the last 20 years of data indicated an acceleration in the trend slopes in AT, P, and Q. Changes also were observed in temporal trends in the center of volume (CV) of both P and Q, which generally occurred later in the year; the 7-day mean low flow increased, and the annual day of occurrence of the 7-day mean low flow occurred earlier in the year. Principal components analysis revealed differences in P, Q, CVP, and CVQ trends in watersheds with median elevations greater than and less than 400 meters, as well as by latitude. A seasonal analysis revealed that P increased throughout the study area in spring, summer, and fall but decreased in winter. AT, P, and Q have broadly increased across the region over the 40-year period, and the temporal, spatial, and seasonal changes in P have affected Q. Results highlight the strong couplings between climatic variability and watershed responses.

","language":"English","publisher":"IOPScience","doi":"10.1088/2515-7620/ad13a4","usgsCitation":"Rice, K.C., Mason, C.A., and Mills, A., 2023, Examining the complex relations between climate and streamflow in the mid-atlantic region of the United States: Environmental Research Communications, v. 5, 125008, 12 p., https://doi.org/10.1088/2515-7620/ad13a4.","productDescription":"125008, 12 p.","ipdsId":"IP-147182","costCenters":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"links":[{"id":441396,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/2515-7620/ad13a4","text":"Publisher Index Page"},{"id":435109,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9ZJ8OLR","text":"USGS data release","linkHelpText":"Selected inputs for examining the complex relations between climate and streamflow in the Mid-Atlantic region of the United States"},{"id":423787,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland, North Carolina, Virginia, West Virginia","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-79.476662,39.721078],[-75.810068,39.721906],[-75.693521,38.460128],[-75.053483,38.451274],[-75.192925,38.097819],[-75.962596,37.117535],[-75.981624,37.434116],[-75.712065,37.936082],[-75.846621,37.925785],[-75.938577,38.272329],[-76.254473,38.31512],[-76.320843,38.459862],[-76.190902,38.621092],[-76.308922,38.813346],[-76.205063,38.892726],[-76.338047,38.895034],[-76.168332,38.996546],[-76.27566,39.160304],[-75.986298,39.510398],[-76.497977,39.204697],[-76.438845,39.0529],[-76.559697,38.767443],[-76.329433,38.073986],[-77.040638,38.444618],[-77.256412,38.396755],[-77.175969,38.604113],[-77.298844,38.508724],[-77.286202,38.347025],[-77.024866,38.386791],[-76.910832,38.197073],[-76.265998,37.91138],[-76.339892,37.655966],[-76.722156,37.83668],[-76.252415,37.447274],[-76.475927,37.250543],[-76.300352,37.00885],[-76.780532,37.209336],[-76.482407,36.917364],[-75.972151,36.842268],[-75.533012,35.787377],[-75.960069,36.495025],[-75.791637,36.082267],[-76.132005,36.287773],[-76.191715,36.107197],[-76.447812,36.192514],[-76.298733,36.1012],[-76.575936,36.006167],[-76.721445,36.147838],[-76.675462,36.266882],[-76.744436,36.212725],[-76.608052,35.936668],[-76.014685,35.960361],[-76.046813,35.717935],[-75.86042,35.978262],[-75.713502,35.693993],[-76.165392,35.328659],[-76.499251,35.381492],[-76.586349,35.508957],[-76.476706,35.511707],[-76.634468,35.510332],[-76.580187,35.387113],[-77.023912,35.514802],[-76.472273,35.294936],[-76.801426,34.964369],[-76.958465,35.047647],[-76.762931,34.920374],[-76.463468,35.076411],[-76.332044,34.970917],[-76.524712,34.681964],[-76.673619,34.71491],[-76.523303,34.652271],[-76.093349,35.048705],[-76.524199,34.615416],[-76.726969,34.69669],[-77.209161,34.605032],[-77.713322,34.294879],[-77.956881,33.87779],[-78.509042,33.865515],[-79.631577,34.768835],[-80.771792,34.819646],[-80.906416,35.076616],[-81.138207,35.155417],[-82.417597,35.200131],[-83.108535,35.000771],[-84.321869,34.988408],[-84.260319,35.241877],[-84.02911,35.292176],[-83.978286,35.44782],[-82.995803,35.773128],[-82.637165,36.065805],[-82.531292,35.972188],[-82.349957,36.117109],[-82.054142,36.126821],[-81.762371,36.338856],[-81.692167,36.562695],[-81.826742,36.614215],[-83.645586,36.600002],[-82.895445,36.882145],[-82.722097,37.120168],[-81.968297,37.537798],[-82.39968,37.829935],[-82.638398,38.152157],[-82.595382,38.382712],[-82.181967,38.599384],[-82.068864,38.984878],[-81.759995,38.925828],[-81.814155,39.073478],[-81.692203,39.236091],[-80.865575,39.662751],[-80.602895,40.327869],[-80.603876,40.625064],[-80.52566,40.636068],[-80.519342,39.721403],[-79.476662,39.721078]],[[-77.038598,38.791513],[-77.002498,38.96541],[-77.0915,38.95651],[-77.038598,38.791513]]],[[[-75.753765,35.199612],[-75.523952,35.318198],[-75.533512,35.773577],[-75.52592,35.233839],[-75.982812,35.081513],[-75.753765,35.199612]]]]},\"properties\":{\"name\":\"Maryland\",\"nation\":\"USA \"}}]}","volume":"5","noUsgsAuthors":false,"publicationDate":"2023-12-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Rice, Karen C. 0000-0002-9356-5443 kcrice@usgs.gov","orcid":"https://orcid.org/0000-0002-9356-5443","contributorId":178269,"corporation":false,"usgs":true,"family":"Rice","given":"Karen","email":"kcrice@usgs.gov","middleInitial":"C.","affiliations":[{"id":37280,"text":"Virginia and West Virginia Water Science Center ","active":true,"usgs":true}],"preferred":true,"id":890556,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mason, Christopher A. 0000-0001-9001-8244","orcid":"https://orcid.org/0000-0001-9001-8244","contributorId":225681,"corporation":false,"usgs":true,"family":"Mason","given":"Christopher","middleInitial":"A.","affiliations":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"preferred":true,"id":890557,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mills, Aaron L.","contributorId":189745,"corporation":false,"usgs":false,"family":"Mills","given":"Aaron L.","affiliations":[],"preferred":false,"id":890558,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70250603,"text":"70250603 - 2023 - Using a coupled integral projection model to investigate interspecific competition during an invasion: An application to silver carp (Hypophthalmichthys molitrix) and gizzard shad (Dorosoma cepedianum)","interactions":[],"lastModifiedDate":"2023-12-19T12:50:26.049418","indexId":"70250603","displayToPublicDate":"2023-12-19T06:32:31","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3824,"text":"Letters in Biomathematics","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Using a coupled integral projection model to investigate interspecific competition during an invasion: An application to silver carp (Hypophthalmichthys molitrix) and gizzard shad (Dorosoma cepedianum)","title":"Using a coupled integral projection model to investigate interspecific competition during an invasion: An application to silver carp (Hypophthalmichthys molitrix) and gizzard shad (Dorosoma cepedianum)","docAbstract":"

As a generalization of stage-based matrix models, integral projection models (IPMs) have been used to describe the size-based dynamics of wildlife and fisheries populations. Although some matrix models have explicitly included species interactions, few IPMs have expanded beyond single species, which limits their ability to describe the competitive dynamics of co-occuring taxa. We present a coupled system of IPMs where intra- and inter-specific competition may reciprocally affect the life-histories of two species. We investigated the potential role that competition has on two overlapping fish species in the upper Mississippi River system: the native gizzard shad (Dorosoma cepedianum) and the invasive silver carp (Hypophthalmichthys molitrix). Numerical simulations of this system indicated that the coupled IPMs could exhibit asymptotic behaviors similar to traditional, non-linear competition models. Specifically, by altering the competition coefficients, we demonstrate this model's ability to detect competitive exclusion, species coexistence, and dual extinction outcomes.

","language":"English","publisher":"Intercollegiate Biomathematics Alliance","usgsCitation":"Peirce, J.P., Sandland, G., Schumann, D., Thompson, H.M., and Erickson, R.A., 2023, Using a coupled integral projection model to investigate interspecific competition during an invasion: An application to silver carp (Hypophthalmichthys molitrix) and gizzard shad (Dorosoma cepedianum): Letters in Biomathematics, v. 10, no. 1, p. 175-184.","productDescription":"10 p.","startPage":"175","endPage":"184","ipdsId":"IP-156781","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":423743,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":423740,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://lettersinbiomath.journals.publicknowledgeproject.org/index.php/lib/article/view/645"}],"volume":"10","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Peirce, James P 0000-0002-7147-3695","orcid":"https://orcid.org/0000-0002-7147-3695","contributorId":316559,"corporation":false,"usgs":false,"family":"Peirce","given":"James","email":"","middleInitial":"P","affiliations":[{"id":47908,"text":"University of Wisconsin - La Crosse","active":true,"usgs":false}],"preferred":false,"id":890531,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sandland, Gregory","contributorId":332579,"corporation":false,"usgs":false,"family":"Sandland","given":"Gregory","email":"","affiliations":[{"id":12793,"text":"University of Wisconsin-La Crosse","active":true,"usgs":false}],"preferred":false,"id":890532,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schumann, David","contributorId":199504,"corporation":false,"usgs":false,"family":"Schumann","given":"David","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":890533,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thompson, Hannah Mann 0000-0001-8316-3232","orcid":"https://orcid.org/0000-0001-8316-3232","contributorId":316560,"corporation":false,"usgs":true,"family":"Thompson","given":"Hannah","email":"","middleInitial":"Mann","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":890534,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Erickson, Richard A. 0000-0003-4649-482X rerickson@usgs.gov","orcid":"https://orcid.org/0000-0003-4649-482X","contributorId":5455,"corporation":false,"usgs":true,"family":"Erickson","given":"Richard","email":"rerickson@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":890535,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70259695,"text":"70259695 - 2023 - Two-dimensional inverse energy cascade in a laboratory surf zone for varying wave directional spread","interactions":[],"lastModifiedDate":"2024-10-21T11:29:40.817354","indexId":"70259695","displayToPublicDate":"2023-12-19T06:26:39","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3070,"text":"Physics of Fluids","active":true,"publicationSubtype":{"id":10}},"title":"Two-dimensional inverse energy cascade in a laboratory surf zone for varying wave directional spread","docAbstract":"

Surfzone eddies enhance the dispersion and transport of contaminants, bacteria, and larvae across the nearshore, altering coastal water quality and ecosystem health. During directionally spread wave conditions, vertical vortices (horizontal eddies) are injected near the ends of breaking crests. Energy associated with these eddies may be transferred to larger-scale, low-frequency rotational motions through an inverse energy cascade, consistent with two-dimensional turbulence. However, our understanding of the relationships between the wave conditions and the dynamics and energetics of low-frequency surfzone eddies are largely based on numerical modeling. Here, we test these relationships with remotely sensed and in situ observations from large-scale directional wave basin experiments with varying wave conditions over alongshore-uniform barred bathymetry. Surface velocities derived with particle image velocimetry were employed to assess the spatial scales of low-frequency surfzone eddies and compute structure functions with alongshore velocities. Second-order structure functions for directionally spread waves (⁠ 

","language":"English","publisher":"AIP Publishing","doi":"10.1063/5.0169895","usgsCitation":"Baker, C., Moulton, M., Chickadel, C.C., Nuss, E., Palmsten, M.L., and Brodie, K.L., 2023, Two-dimensional inverse energy cascade in a laboratory surf zone for varying wave directional spread: Physics of Fluids, v. 35, 125140, 18 p., https://doi.org/10.1063/5.0169895.","productDescription":"125140, 18 p.","ipdsId":"IP-156274","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":467067,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1063/5.0169895","text":"Publisher Index Page"},{"id":463055,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","noUsgsAuthors":false,"publicationDate":"2023-12-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Baker, Christine","contributorId":305678,"corporation":false,"usgs":false,"family":"Baker","given":"Christine","email":"","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":916354,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moulton, Melissa","contributorId":194341,"corporation":false,"usgs":false,"family":"Moulton","given":"Melissa","email":"","affiliations":[],"preferred":false,"id":916355,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chickadel, C Chris 0000-0002-0770-7725","orcid":"https://orcid.org/0000-0002-0770-7725","contributorId":221998,"corporation":false,"usgs":false,"family":"Chickadel","given":"C","email":"","middleInitial":"Chris","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":916356,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nuss, Emma","contributorId":305681,"corporation":false,"usgs":false,"family":"Nuss","given":"Emma","email":"","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":916357,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Palmsten, Margaret L. 0000-0002-6424-2338","orcid":"https://orcid.org/0000-0002-6424-2338","contributorId":239955,"corporation":false,"usgs":true,"family":"Palmsten","given":"Margaret","email":"","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":916358,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brodie, Katherine L.","contributorId":345330,"corporation":false,"usgs":false,"family":"Brodie","given":"Katherine","email":"","middleInitial":"L.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":916359,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70250567,"text":"ofr20231077 - 2023 - Applying intrinsic potential models to evaluate salmon (Oncorhynchus spp.) introduction into main-stem and tributary habitats upstream from the Skagit River Hydroelectric Project, northern Washington","interactions":[],"lastModifiedDate":"2024-12-03T19:37:33.744214","indexId":"ofr20231077","displayToPublicDate":"2023-12-18T14:53:20","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-1077","displayTitle":"Applying Intrinsic Potential Models to Evaluate Salmon (Oncorhynchus spp.) Introduction into Main-Stem and Tributary Habitats Upstream from the Skagit River Hydroelectric Project, Northern Washington","title":"Applying intrinsic potential models to evaluate salmon (Oncorhynchus spp.) introduction into main-stem and tributary habitats upstream from the Skagit River Hydroelectric Project, northern Washington","docAbstract":"

We assessed habitat suitability for salmonids across selected tributaries upstream from three hydroelectric dams on the upper Skagit River in Whatcom County, northern Washington. We used NetMap, a commercial toolset within the ArcMap geographic information system (GIS), to analyze stream attributes based upon a synthetic stream channel network derived from digital elevation models. The GIS-derived stream attributes—including gradient, bankfull width, valley width index, elevation, and stream flow—allowed us to examine the spatial distribution and relative quality of spawning and rearing habitat for salmonids based on existing intrinsic potential (IP) models. As a first step, we created maps of potential anadromous fish distribution by identifying potential migration barriers within the synthetic stream network. Next, we applied a suite of existing IP models for steelhead, coho, and Chinook salmon (Oncorhynchus mykiss, O. kisutch, and O. tshawytscha, respectively) to estimate low, medium, and high IP habitat for each species. Three different IP models were used for each species, based on species preference curves from populations from coastal Oregon, northern California, Alaska, and western Washington. We found that at least 25 tributaries that were greater than third order and contained habitat with the potential for anadromous fish, totaling about 470 river kilometers in 4,453 synthetic stream reaches averaging about 100 meters (m) in length. The IP of each of these reaches was calculated and placed into low, medium, and high IP categories. For Chinook salmon, the only stream with significantly (in other words, greater than 1 kilometer [km]) high IP reaches was the upper Skagit River upstream from Ross Lake reservoir in Canada, upstream from the third dam in the hydroelectric system. There were differences among the three models evaluated, with the model derived for the lower Skagit River showing more high and medium IP habitat than the other two models that were designed for the Columbia River Basin. For coho salmon, all three models showed similar results favoring medium IP over low and high IP habitat. Of the 3 species examined with existing IP models, steelhead had the most habitat rated as high IP with 19 targeted tributaries showing greater than 1 km of high intrinsic potential habitat.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20231077","collaboration":"Prepared in cooperation with Seattle City Light","usgsCitation":"Duda, J.J., and Hardiman, J.M., 2023, Applying intrinsic potential models to evaluate salmon (Oncorhynchus spp.) introduction into main-stem and tributary habitats upstream from the Skagit River Hydroelectric Project, northern Washington: U.S. Geological Survey Open-File Report 2023-1077, 44 p. https://doi.org/10.3133/ofr20231077.","productDescription":"Report: viii, 44 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-147497","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":423653,"rank":6,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2023/1077/ofr20231077.XML"},{"id":423733,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9MKQ2UK","text":"USGS data release","description":"USGS data release","linkHelpText":"Upper Skagit River intrinsic potential results"},{"id":423650,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2023/1077/ofr20231077.pdf"},{"id":423649,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2023/1077/ofr20231077.jpg"},{"id":423652,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2023/1077/Images"},{"id":423651,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20231077/full"}],"country":"Canada, United States","state":"Washington","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -121.3,\n 49.3\n ],\n [\n -121.3,\n 48.3\n ],\n [\n -120.3,\n 48.3\n ],\n [\n -120.3,\n 49.3\n ],\n [\n -121.3,\n 49.3\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"

Director, Western Fisheries Research Center
U.S. Geological Survey
6505 NE 65th Street
Seattle, Washington 98115-5016

","tableOfContents":"","publishedDate":"2023-12-18","noUsgsAuthors":false,"publicationDate":"2023-12-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Duda, Jeffrey J. 0000-0001-7431-8634 jduda@usgs.gov","orcid":"https://orcid.org/0000-0001-7431-8634","contributorId":148954,"corporation":false,"usgs":true,"family":"Duda","given":"Jeffrey","email":"jduda@usgs.gov","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":890407,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hardiman, Jill M. 0000-0002-3661-9695 jhardiman@usgs.gov","orcid":"https://orcid.org/0000-0002-3661-9695","contributorId":2672,"corporation":false,"usgs":true,"family":"Hardiman","given":"Jill","email":"jhardiman@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":890408,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70256475,"text":"70256475 - 2023 - The context dependency of fish-habitat associations in separated karst ecoregions","interactions":[],"lastModifiedDate":"2024-08-07T16:04:22.691671","indexId":"70256475","displayToPublicDate":"2023-12-18T10:54:40","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"The context dependency of fish-habitat associations in separated karst ecoregions","docAbstract":"

Fish populations may be isolated via natural conditions in geographically separated ecoregions. Although reconnecting these populations is not a management goal, we need to understand how these populations persist across landscapes to develop meaningful conservation actions, particularly for species occupying sensitive karst ecosystems. Our study objective was to determine the physicochemical factors related to the occurrence of four spring-associated fishes. Arbuckle Uplift and Ozark Highlands ecoregions, USA. We used a hierarchical approach to identify habitat relationships at multiple spatial scales. We collected detection data using snorkeling and seining. We examined the physicochemical relationships related to the detection and occurrence of four spring-associated fishes using occupancy modeling in a Bayesian framework. We found physicochemical relationships that differed and were similar between ecoregions for several fishes. For three species, we found different water temperature relationships between ecoregions. Smallmouth bass were ubiquitous in their use of drainage areas in the Ozark Highlands but only associated with the lower network of the Arbuckle Uplift. There were several mirrored relationships between ecoregions, including an interaction between residual pool depth and water temperature, where sites with deeper pools were more likely to be occupied during warmer water temperatures. There were single-species occurrence relationships with percent vegetation and percent agriculture. Lastly, snorkeling was a more efficient sampling method compared to seining for all fishes. Our results indicate stream temperature mitigation may be possible via the maintenance of key channel morphologies, and we identify shared stressors between ecoregions. Channel mitigation to maintain reaches with deeper pools may be an important strategy for maintaining thermal refugia, particularly when considering climate change. Identifying the mechanistic underpinning of other multiscale ecological relationships would be helpful to discern if some of the different ecoregion relationships represent warning signals or interactions with unmeasured biotic or abiotic factors.

","language":"English","publisher":"Wiley","doi":"10.1002/ece3.10701","usgsCitation":"Swedberg, D.A., Mollenhauer, R.M., and Brewer, S.K., 2023, The context dependency of fish-habitat associations in separated karst ecoregions: Ecology and Evolution, v. 13, no. 12, e10701, 18 p., https://doi.org/10.1002/ece3.10701.","productDescription":"e10701, 18 p.","ipdsId":"IP-146272","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":441399,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.10701","text":"Publisher Index Page"},{"id":432361,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oklahoma","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -94.6056935051375,\n 36.99095780343694\n ],\n [\n -95.25818479665297,\n 36.77262795781087\n ],\n [\n -95.51281809235115,\n 35.597221761955254\n ],\n [\n -94.4536118118592,\n 35.530687987028585\n ],\n [\n -94.6056935051375,\n 36.99095780343694\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -97.16528274367352,\n 34.594939532905144\n ],\n [\n -97.44206576958777,\n 33.94434112413069\n ],\n [\n -96.10069816898147,\n 33.94433280692786\n ],\n [\n -96.13328126204877,\n 34.75563707296074\n ],\n [\n -97.16528274367352,\n 34.594939532905144\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"13","issue":"12","noUsgsAuthors":false,"publicationDate":"2023-12-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Swedberg, Dusty A.","contributorId":340779,"corporation":false,"usgs":false,"family":"Swedberg","given":"Dusty","email":"","middleInitial":"A.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":907545,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mollenhauer, Robert M.","contributorId":340780,"corporation":false,"usgs":false,"family":"Mollenhauer","given":"Robert","email":"","middleInitial":"M.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":907546,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brewer, Shannon K. 0000-0002-1537-3921 skbrewer@usgs.gov","orcid":"https://orcid.org/0000-0002-1537-3921","contributorId":2252,"corporation":false,"usgs":true,"family":"Brewer","given":"Shannon","email":"skbrewer@usgs.gov","middleInitial":"K.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":907547,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70254772,"text":"70254772 - 2023 - Forage senescence and disease influence elk pregnancy across the Greater Yellowstone Ecosystem","interactions":[],"lastModifiedDate":"2024-06-07T15:57:01.046173","indexId":"70254772","displayToPublicDate":"2023-12-18T10:45:58","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Forage senescence and disease influence elk pregnancy across the Greater Yellowstone Ecosystem","docAbstract":"

For various temperate ungulate species, recent research has highlighted the potential for spring vegetation phenology (“green-up”) to influence individual condition, with purported benefits to population productivity. However, few studies have been able to measure the benefit on vital rates directly, and fewer still have investigated the comparative influence of other phenological periods on ungulate vital rates. In this study, we tracked phenological changes throughout the duration of the growing season and examined how their timing affected the probability of pregnancy in an ungulate population. We did this for elk (Cervus canadensis) across the Greater Yellowstone Ecosystem (GYE) by sampling 1106 adult females in winter at 25 sites over a 13-year period and assessing sources of variation in pregnancy using a Bayesian hierarchical model. Pregnancy rates were generally high across the GYE (82.4%), and the primary influences on probability of pregnancy were the timing of vegetation senescence (“brown-down”) in autumn and exposure to the reproductive disease brucellosis. Earlier forage brown-down in fall negatively influenced the probability of pregnancy of elk aged 6–9 years by an estimated 17.2% within the range (ca. 32 days) of observed brown-down end dates. While summer habitat quality has been inferred to influence elk pregnancy previously, our findings specify the key influence of foraging conditions later in the seasonal cycle, immediately before the breeding season. The reproductive disease brucellosis was also an important factor, reducing the probability of pregnancy by 12.4% in elk in the 6- to 9-year age class. Because pregnancy was tested before most disease-induced abortions occur, the apparent mechanism for this effect is a prolonged reduction in fertility beyond the period of initial exposure in which fetal mortality is typically expected. Our results prompt greater scrutiny of the combined effects of late-season phenology and disease on reproductive rates and population productivity in temperate ungulates.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.4694","usgsCitation":"Bidder, O.R., Connor, T., Morales, J.M., Rickbeil, G.J., Merkle, J., Fuda, R.K., Rogerson, J., Scurlock, B.M., Edwards, W.H., Cole, E., McWhirter, D.E., Courtemanch, A.B., Dewey, S., Kauffman, M., MacNulty, D.R., du Toit, J., Stahler, D., and Middleton, A.D., 2023, Forage senescence and disease influence elk pregnancy across the Greater Yellowstone Ecosystem: Ecosphere, v. 14, e4694, 14 p., https://doi.org/10.1002/ecs2.4694.","productDescription":"e4694, 14 p.","ipdsId":"IP-157765","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":441401,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.4694","text":"Publisher Index Page"},{"id":429652,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Montana, Wyoming","otherGeospatial":"Greater Yellowstone Ecosystem","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -114.01112913216181,\n 46.437409339504086\n ],\n [\n -114.01112913216181,\n 42.020821465341925\n ],\n [\n -105.94049421049453,\n 42.020821465341925\n ],\n [\n -105.94049421049453,\n 46.437409339504086\n ],\n [\n -114.01112913216181,\n 46.437409339504086\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"14","noUsgsAuthors":false,"publicationDate":"2023-12-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Bidder, Owen R.","contributorId":337529,"corporation":false,"usgs":false,"family":"Bidder","given":"Owen","email":"","middleInitial":"R.","affiliations":[{"id":6643,"text":"University of California - Berkeley","active":true,"usgs":false}],"preferred":false,"id":902480,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Connor, Thomas","contributorId":337530,"corporation":false,"usgs":false,"family":"Connor","given":"Thomas","email":"","affiliations":[{"id":6643,"text":"University of California - Berkeley","active":true,"usgs":false}],"preferred":false,"id":902481,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morales, Juan M.","contributorId":171521,"corporation":false,"usgs":false,"family":"Morales","given":"Juan","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":902482,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rickbeil, Gregory J.M.","contributorId":270401,"corporation":false,"usgs":false,"family":"Rickbeil","given":"Gregory","email":"","middleInitial":"J.M.","affiliations":[{"id":54468,"text":"uc","active":true,"usgs":false}],"preferred":false,"id":902483,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Merkle, Jerod A.","contributorId":264421,"corporation":false,"usgs":false,"family":"Merkle","given":"Jerod A.","affiliations":[{"id":40829,"text":"uwy","active":true,"usgs":false}],"preferred":false,"id":902484,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fuda, Rebecca K.","contributorId":203303,"corporation":false,"usgs":false,"family":"Fuda","given":"Rebecca","email":"","middleInitial":"K.","affiliations":[{"id":36596,"text":"Wyoming Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":902485,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rogerson, Jared D.","contributorId":106401,"corporation":false,"usgs":true,"family":"Rogerson","given":"Jared D.","affiliations":[],"preferred":false,"id":902486,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Scurlock, Brandon M.","contributorId":93788,"corporation":false,"usgs":false,"family":"Scurlock","given":"Brandon","email":"","middleInitial":"M.","affiliations":[{"id":6917,"text":"Wyoming Game and Fish Department, Laramie, USA","active":true,"usgs":false}],"preferred":false,"id":902487,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Edwards, William H","contributorId":189799,"corporation":false,"usgs":false,"family":"Edwards","given":"William","email":"","middleInitial":"H","affiliations":[],"preferred":false,"id":902488,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Cole, Eric K.","contributorId":337540,"corporation":false,"usgs":false,"family":"Cole","given":"Eric K.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":902489,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"McWhirter, Douglas E.","contributorId":264424,"corporation":false,"usgs":false,"family":"McWhirter","given":"Douglas","email":"","middleInitial":"E.","affiliations":[{"id":54471,"text":"wyfg","active":true,"usgs":false}],"preferred":false,"id":902490,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Courtemanch, Alyson B.","contributorId":198651,"corporation":false,"usgs":false,"family":"Courtemanch","given":"Alyson","email":"","middleInitial":"B.","affiliations":[{"id":35682,"text":"Wyoming Game and Fish Department, Jackson, WY","active":true,"usgs":false}],"preferred":false,"id":902491,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Dewey, Sarah","contributorId":337547,"corporation":false,"usgs":false,"family":"Dewey","given":"Sarah","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":902492,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Kauffman, Matthew J. 0000-0003-0127-3900","orcid":"https://orcid.org/0000-0003-0127-3900","contributorId":202921,"corporation":false,"usgs":true,"family":"Kauffman","given":"Matthew","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":902493,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"MacNulty, Daniel R.","contributorId":210842,"corporation":false,"usgs":false,"family":"MacNulty","given":"Daniel","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":902494,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"du Toit, Johan T.","contributorId":86583,"corporation":false,"usgs":true,"family":"du Toit","given":"Johan T.","affiliations":[],"preferred":false,"id":902495,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Stahler, Daniel R.","contributorId":337554,"corporation":false,"usgs":false,"family":"Stahler","given":"Daniel R.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":902496,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Middleton, Arthur D.","contributorId":210264,"corporation":false,"usgs":false,"family":"Middleton","given":"Arthur","email":"","middleInitial":"D.","affiliations":[{"id":33770,"text":"University of California at Berkeley","active":true,"usgs":false}],"preferred":false,"id":902497,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}} ,{"id":70250712,"text":"70250712 - 2023 - Bayesian hierarchical modeling for probabilistic estimation of tsunami amplitude from far-field earthquake sources","interactions":[],"lastModifiedDate":"2023-12-28T12:44:48.760618","indexId":"70250712","displayToPublicDate":"2023-12-18T06:36:38","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2321,"text":"Journal of Geophysical Research: Oceans","active":true,"publicationSubtype":{"id":10}},"title":"Bayesian hierarchical modeling for probabilistic estimation of tsunami amplitude from far-field earthquake sources","docAbstract":"

Evaluation of tsunami disaster risk for a coastal region requires reliable estimation of tsunami hazard, for example, wave amplitude close to the shore. Observed tsunami data are scarce and have poor spatial coverage, and for this reason probabilistic tsunami hazard analysis (PTHA) traditionally relies on numerical simulation of “synthetic” tsunami generation and propagation toward the coast. Such an approach has been extensively studied in the past and it is widely recognized as an important disaster-risk mitigation tool. PTHA can not only provide less uncertain and spatially coherent hazard estimates in comparison with classical empirical data analysis which is restricted at the tide gauge stations, but also local inundation information. In this paper, we explore a purely statistical alternative to traditional PTHA for evaluation of tsunami amplitude hazard. Here, we use tide gauge measurements of tsunami amplitude along the western United States, specifically California and Oregon, and develop a spatial Bayesian hierarchical model (BHM) to assess tsunami hazard from far-field earthquake sources at various recurrence intervals. The configuration of our model incorporates latent Gaussian fields that utilize information on the distance between tide gauges as well as on the continental shelf width, that is, a covariate linked to potential dissipative effects on wave energy as the tsunami travels over shallow water. Through our BHM, we produce spatially continuous probabilistic maps of far-field tsunami hazard which can aid comprehensive tsunami disaster risk reduction and management.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2023JC020002","usgsCitation":"Boumis, G., Geist, E.L., and Lee, D., 2023, Bayesian hierarchical modeling for probabilistic estimation of tsunami amplitude from far-field earthquake sources: Journal of Geophysical Research: Oceans, v. 128, no. 12, e2023JC020002, 16 p., https://doi.org/10.1029/2023JC020002.","productDescription":"e2023JC020002, 16 p.","ipdsId":"IP-151939","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":499265,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2023jc020002","text":"Publisher Index Page"},{"id":423956,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Oregon, Washington","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.89613542356796,\n 48.497460056867624\n ],\n [\n -126.0601979235679,\n 49.01892139292943\n ],\n [\n -126.0601979235679,\n 44.94434930821649\n ],\n [\n -126.41176042356773,\n 40.75865742539179\n ],\n [\n -125.35707292356773,\n 38.45677055335565\n ],\n [\n -123.24769792356778,\n 34.64558981782825\n ],\n [\n -120.61097917356783,\n 33.0397043679928\n ],\n [\n -118.32582292356796,\n 32.0767084901876\n ],\n [\n -115.33754167356793,\n 32.37411455892672\n ],\n [\n -120.17152604856793,\n 36.78614622387245\n ],\n [\n -122.80824479856787,\n 39.95497361468907\n ],\n [\n -122.80824479856787,\n 43.94038749428063\n ],\n [\n -122.89613542356796,\n 48.497460056867624\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"128","issue":"12","noUsgsAuthors":false,"publicationDate":"2023-12-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Boumis, Georgios 0000-0001-7825-5239","orcid":"https://orcid.org/0000-0001-7825-5239","contributorId":332846,"corporation":false,"usgs":false,"family":"Boumis","given":"Georgios","email":"","affiliations":[{"id":79664,"text":"Center for Complex Hydrosystems Research, University of Alabama","active":true,"usgs":false}],"preferred":false,"id":891060,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Geist, Eric L. 0000-0003-0611-1150","orcid":"https://orcid.org/0000-0003-0611-1150","contributorId":15543,"corporation":false,"usgs":true,"family":"Geist","given":"Eric","email":"","middleInitial":"L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":891061,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lee, Danhyang","contributorId":332847,"corporation":false,"usgs":false,"family":"Lee","given":"Danhyang","email":"","affiliations":[{"id":36730,"text":"University of Alabama","active":true,"usgs":false}],"preferred":false,"id":891062,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70254899,"text":"70254899 - 2023 - Backpack satellite transmitters reduce survival but not nesting propensity or success of greater sage-grouse","interactions":[],"lastModifiedDate":"2024-06-11T11:18:44.083911","indexId":"70254899","displayToPublicDate":"2023-12-18T06:12:57","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Backpack satellite transmitters reduce survival but not nesting propensity or success of greater sage-grouse","docAbstract":"

Telemetry technology is ubiquitous for studying the behavior and demography of wildlife, including the use of traditional very high frequency (VHF) radio telemetry and more recent methods that record animal locations using global positioning systems (GPS). Satellite-based GPS telemetry allows researchers to collect high spatial–temporal resolution data remotely but may also come with additional costs. For example, recent studies from the southern Great Basin suggested GPS transmitters attached via backpacks may reduce the survival of greater sage-grouse (Centrocercus urophasianus) relative to VHF transmitters attached via collars that have been in use for decades. While some evidence suggests GPS backpacks reduce survival, no studies have examined the effects of GPS backpacks on breeding behavior and success. Therefore, we compared survival, breeding behavior, and nest success of sage-grouse hens marked with both VHF collars and GPS backpack transmitter over a 7-year period in central Idaho, USA. GPS backpacks reduced spring–summer survival of sage-grouse hens relative to hens with VHF collars, where daily mortality probability was 68%–82% higher from March 1 to August 1. Yet satellite GPS backpacks did not consistently affect nest success or the likelihood or timing of nest initiation relative to VHF collars. Daily nest survival varied annually and with timing of nest initiation and nest age, but marginal effects of transmitter type were statistically insignificant and interactions between transmitter type and study year produced no meaningful patterns. Our results corroborate recent studies for the effect of satellite GPS backpacks on sage-grouse survival, but also suggest that these transmitters do not appear to affect components of fecundity. Our results therefore add important context to recent debate surrounding the effects of GPS backpacks on sage-grouse, and the relative strengths and weaknesses of different transmitter types for understanding behavior and population dynamics.

","language":"English","publisher":"Wiley","doi":"10.1002/ece3.10820","usgsCitation":"Stevens, B., Conway, C.J., Tisdale, C.A., Denny, K.N., Meyers, A., and Makela, P., 2023, Backpack satellite transmitters reduce survival but not nesting propensity or success of greater sage-grouse: Ecology and Evolution, v. 13, no. 12, e10820, 13 p., https://doi.org/10.1002/ece3.10820.","productDescription":"e10820, 13 p.","ipdsId":"IP-155346","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":441404,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.10820","text":"Publisher Index Page"},{"id":429808,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -114.45000480079682,\n 44.653208889001206\n ],\n [\n -114.45000480079682,\n 43.85056176698046\n ],\n [\n -113.18657706642185,\n 43.85056176698046\n ],\n [\n -113.18657706642185,\n 44.653208889001206\n ],\n [\n -114.45000480079682,\n 44.653208889001206\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"13","issue":"12","noUsgsAuthors":false,"publicationDate":"2023-12-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Stevens, Bryan S.","contributorId":275853,"corporation":false,"usgs":false,"family":"Stevens","given":"Bryan S.","affiliations":[{"id":39599,"text":"ui","active":true,"usgs":false}],"preferred":false,"id":902808,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conway, Courtney J. 0000-0003-0492-2953 cconway@usgs.gov","orcid":"https://orcid.org/0000-0003-0492-2953","contributorId":2951,"corporation":false,"usgs":true,"family":"Conway","given":"Courtney","email":"cconway@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":902809,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tisdale, Cody A.","contributorId":337968,"corporation":false,"usgs":false,"family":"Tisdale","given":"Cody","email":"","middleInitial":"A.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":902810,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Denny, Kylie N.","contributorId":337969,"corporation":false,"usgs":false,"family":"Denny","given":"Kylie","email":"","middleInitial":"N.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":902811,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Meyers, Andrew","contributorId":337999,"corporation":false,"usgs":false,"family":"Meyers","given":"Andrew","email":"","affiliations":[],"preferred":false,"id":902891,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Makela, Paul","contributorId":338000,"corporation":false,"usgs":false,"family":"Makela","given":"Paul","email":"","affiliations":[],"preferred":false,"id":902892,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70256182,"text":"70256182 - 2023 - Maps of active layer thickness in northern Alaska by upscaling P-band polarimetric synthetic aperture radar retrievals","interactions":[],"lastModifiedDate":"2024-07-25T23:58:14.226325","indexId":"70256182","displayToPublicDate":"2023-12-15T18:56:14","publicationYear":"2023","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":"Maps of active layer thickness in northern Alaska by upscaling P-band polarimetric synthetic aperture radar retrievals","docAbstract":"

Extensive, detailed information on the spatial distribution of active layer thickness (ALT) in northern Alaska and how it evolves over time could greatly aid efforts to assess the effects of climate change on the region and also help to quantify greenhouse gas emissions generated due to permafrost thaw. For this reason, we have been developing high-resolution maps of ALT throughout northern Alaska. The maps are produced by upscaling from high-resolution swaths of estimated ALT retrieved from airborne P-band synthetic aperture radar (SAR) images collected for three different years. The upscaling was accomplished by using hundreds of thousands of randomly selected samples from the SAR-derived swaths of ALT to train a machine learning regression algorithm supported by numerous spatial data layers. In order to validate the maps, thousands of randomly selected samples of SAR-derived ALT were excluded from the training in order to serve as validation pixels; error performance calculations relative to these samples yielded root-mean-square errors (RMSEs) of 7.5–9.1 cm, with bias errors of magnitude under 0.1 cm. The maps were also compared to ALT measurements collected at a number of in situ test sites; error performance relative to the site measurements yielded RMSEs of approximately 11–12 cm and bias of 2.7–6.5 cm. These data are being used to investigate regional patterns and underlying physical controls affecting permafrost degradation in the tundra biome.

","language":"English","publisher":"IOP Publishing","doi":"10.1088/1748-9326/ad127f","usgsCitation":"Whitcomb, J., Chen, R., Clewley, D., Kimball, J.S., Pastick, N., Yi, Y., and Moghaddam, M., 2023, Maps of active layer thickness in northern Alaska by upscaling P-band polarimetric synthetic aperture radar retrievals: Environmental Research Letters, v. 19, 014046, 14 p., https://doi.org/10.1088/1748-9326/ad127f.","productDescription":"014046, 14 p.","ipdsId":"IP-157950","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":441407,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.1088/1748-9326/ad127f","text":"Publisher Index Page"},{"id":431453,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"19","noUsgsAuthors":false,"publicationDate":"2023-12-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Whitcomb, Jane 0000-0002-2919-7260","orcid":"https://orcid.org/0000-0002-2919-7260","contributorId":340381,"corporation":false,"usgs":false,"family":"Whitcomb","given":"Jane","email":"","affiliations":[{"id":81594,"text":"University of Southern California, Dept. of Electrical Engineering","active":true,"usgs":false}],"preferred":false,"id":907011,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chen, Richard","contributorId":340382,"corporation":false,"usgs":false,"family":"Chen","given":"Richard","email":"","affiliations":[{"id":7023,"text":"Jet Propulsion Laboratory, California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":907012,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Clewley, Daniel 0000-0003-1243-3711","orcid":"https://orcid.org/0000-0003-1243-3711","contributorId":340383,"corporation":false,"usgs":false,"family":"Clewley","given":"Daniel","email":"","affiliations":[{"id":81595,"text":"Plymouth Marine Laboratory, Centre for Geospatial Applications,","active":true,"usgs":false}],"preferred":false,"id":907013,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kimball, John S. 0000-0002-5493-5878","orcid":"https://orcid.org/0000-0002-5493-5878","contributorId":244377,"corporation":false,"usgs":false,"family":"Kimball","given":"John","email":"","middleInitial":"S.","affiliations":[{"id":48908,"text":"U Montana","active":true,"usgs":false}],"preferred":false,"id":907014,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pastick, Neal 0000-0002-4321-6739","orcid":"https://orcid.org/0000-0002-4321-6739","contributorId":222683,"corporation":false,"usgs":true,"family":"Pastick","given":"Neal","email":"","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":false,"id":907015,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Yi, Yonghong 0000-0002-0039-0462","orcid":"https://orcid.org/0000-0002-0039-0462","contributorId":340384,"corporation":false,"usgs":false,"family":"Yi","given":"Yonghong","email":"","affiliations":[{"id":81596,"text":"University of California, Joint Institute for Regional Earth System Science and Engineering","active":true,"usgs":false}],"preferred":false,"id":907016,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Moghaddam, Mahta","contributorId":267922,"corporation":false,"usgs":false,"family":"Moghaddam","given":"Mahta","email":"","affiliations":[{"id":13249,"text":"University of Southern California","active":true,"usgs":false}],"preferred":false,"id":907017,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70253565,"text":"70253565 - 2023 - Designation of a composite-stratotype section for the lower Paleocene (Danian) Brightseat Formation in Prince George’s County, Maryland, U.S.A.","interactions":[],"lastModifiedDate":"2024-05-02T14:03:53.184557","indexId":"70253565","displayToPublicDate":"2023-12-15T08:52:03","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3481,"text":"Stratigraphy","active":true,"publicationSubtype":{"id":10}},"title":"Designation of a composite-stratotype section for the lower Paleocene (Danian) Brightseat Formation in Prince George’s County, Maryland, U.S.A.","docAbstract":"

The lower Paleocene (Danian) Brightseat Formation consists of fine-grained, dark-gray, micaceous sand and silty clay, with glauconite and abundant, but generally poorly preserved, fossils. The Brightseat Formation represents deposition of lower, but not lowermost, Paleocene sediments that were deposited on the middle to outer shelf of what is now the Atlantic Coastal Plain. A basal disconformity separates the Brightseat from the underlying Upper Cretaceous Severn Formation, and it is disconformably overlain by the middle to upper Paleocene Aquia Formation. The type locality of the Brightseat Formation, previously exposed approximately 1 mile (1.6 km) west-southwest of the former village of Brightseat in Prince George’s County, Maryland, just outside ofWashington, D.C., has been destroyed by urban development, prompting the establishment of a composite-stratotype section from nearby outcrops approximately a half mile to the south-southwest of the original location. The outcrop at Cabin Branch is hereby designated as the principal reference section for the Brightseat Formation and the “Cabin Creek” outcrop (an informally designated tributary of Cabin Branch) is designated as a supplementary reference section that illustrates the boundary of the Brightseat with the overlying Aquia Formation. Paleontological analyses, grain-size analyses, and petrographic techniques are used to document this new stratotype section and to correlate and contrast it with underlying and overlying sediments. This composite-stratotype section is designated using the guidelines outlined in Article 8, remarks (d) and (e) of the North American Code of Stratigraphic Nomenclature.

","language":"English","publisher":"Micropaleontology Press","doi":"10.29041/strat.20.4.01","usgsCitation":"Self-Trail, J., Parker, M., Govoni, D.L., Bybell, L.M., Gardner, K.F., and Gohn, G., 2023, Designation of a composite-stratotype section for the lower Paleocene (Danian) Brightseat Formation in Prince George’s County, Maryland, U.S.A.: Stratigraphy, v. 20, no. 4, p. 237-258, https://doi.org/10.29041/strat.20.4.01.","productDescription":"22 p.","startPage":"237","endPage":"258","ipdsId":"IP-152111","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":428323,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland","county":"Prince Georges County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -76.92,\n 38.9\n ],\n [\n -76.92,\n 38.75\n ],\n [\n -76.88,\n 38.75\n ],\n [\n -76.88,\n 38.9\n ],\n [\n -76.92,\n 38.9\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"20","issue":"4","noUsgsAuthors":false,"publicationDate":"2023-12-15","publicationStatus":"PW","contributors":{"authors":[{"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":899910,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Parker, Mercer 0000-0001-6683-6458 mercerparker@usgs.gov","orcid":"https://orcid.org/0000-0001-6683-6458","contributorId":203174,"corporation":false,"usgs":true,"family":"Parker","given":"Mercer","email":"mercerparker@usgs.gov","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":899911,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Govoni, David L. 0000-0002-2707-0098 dgovoni@usgs.gov","orcid":"https://orcid.org/0000-0002-2707-0098","contributorId":292463,"corporation":false,"usgs":true,"family":"Govoni","given":"David","email":"dgovoni@usgs.gov","middleInitial":"L.","affiliations":[{"id":5071,"text":"Office of Administration","active":true,"usgs":true}],"preferred":true,"id":899912,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bybell, Laurel M. 0000-0002-4760-7542 lbybell@usgs.gov","orcid":"https://orcid.org/0000-0002-4760-7542","contributorId":1760,"corporation":false,"usgs":true,"family":"Bybell","given":"Laurel","email":"lbybell@usgs.gov","middleInitial":"M.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":899913,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gardner, Kristina Frank 0000-0001-9872-9294","orcid":"https://orcid.org/0000-0001-9872-9294","contributorId":297849,"corporation":false,"usgs":true,"family":"Gardner","given":"Kristina","email":"","middleInitial":"Frank","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":899914,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gohn, Gregory S.","contributorId":297850,"corporation":false,"usgs":false,"family":"Gohn","given":"Gregory S.","affiliations":[],"preferred":false,"id":899915,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70262288,"text":"70262288 - 2023 - Observed impacts of large wind farms on grassland carbon cycling","interactions":[],"lastModifiedDate":"2025-01-16T15:58:01.645734","indexId":"70262288","displayToPublicDate":"2023-12-15T00:00:00","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5802,"text":"Science Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Observed impacts of large wind farms on grassland carbon cycling","docAbstract":"

No abstract available. 

","language":"English","publisher":"Elsevier","doi":"10.1016/j.scib.2023.10.016","usgsCitation":"Wu, D., Grodsky, S.M., Xu, W., Liu, N., Almeida, R.M., Zhou, L., Miller, L., Roy, S., Xia, G., Agrawal, A., Houlton, B.Z., Flecker, A.S., and Xu, X., 2023, Observed impacts of large wind farms on grassland carbon cycling: Science Bulletin, v. 68, no. 23, p. 2889-2892, https://doi.org/10.1016/j.scib.2023.10.016.","productDescription":"4 p.","startPage":"2889","endPage":"2892","ipdsId":"IP-139072","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":467068,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.osti.gov/biblio/2222420","text":"External Repository"},{"id":466634,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"68","issue":"23","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wu, Donghai","contributorId":348756,"corporation":false,"usgs":false,"family":"Wu","given":"Donghai","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":923742,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grodsky, Steven Mark 0000-0003-0846-7230","orcid":"https://orcid.org/0000-0003-0846-7230","contributorId":328517,"corporation":false,"usgs":true,"family":"Grodsky","given":"Steven","email":"","middleInitial":"Mark","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":923744,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Xu, Wenfang","contributorId":348761,"corporation":false,"usgs":false,"family":"Xu","given":"Wenfang","affiliations":[{"id":37968,"text":"Sun Yat-Sen University","active":true,"usgs":false}],"preferred":false,"id":923748,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Liu, Naijing","contributorId":348757,"corporation":false,"usgs":false,"family":"Liu","given":"Naijing","affiliations":[{"id":16866,"text":"Beijing Normal University","active":true,"usgs":false}],"preferred":false,"id":923743,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Almeida, Rafael M.","contributorId":269683,"corporation":false,"usgs":false,"family":"Almeida","given":"Rafael","email":"","middleInitial":"M.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":924111,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zhou, Liming","contributorId":34939,"corporation":false,"usgs":false,"family":"Zhou","given":"Liming","email":"","affiliations":[],"preferred":false,"id":924112,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Miller, Lee M.","contributorId":349176,"corporation":false,"usgs":false,"family":"Miller","given":"Lee M.","affiliations":[],"preferred":false,"id":924113,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Roy, Somnath Baidya","contributorId":349177,"corporation":false,"usgs":false,"family":"Roy","given":"Somnath Baidya","affiliations":[],"preferred":false,"id":924114,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Xia, Geng","contributorId":348762,"corporation":false,"usgs":false,"family":"Xia","given":"Geng","affiliations":[{"id":83407,"text":"7National Wind Technology Center/National Renewable Energy Laboratory","active":true,"usgs":false}],"preferred":false,"id":923749,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Agrawal, A.","contributorId":43601,"corporation":false,"usgs":true,"family":"Agrawal","given":"A.","email":"","affiliations":[],"preferred":false,"id":924115,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Houlton, Benjamin Z.","contributorId":9553,"corporation":false,"usgs":true,"family":"Houlton","given":"Benjamin","email":"","middleInitial":"Z.","affiliations":[],"preferred":false,"id":924116,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Flecker, Alexander S.","contributorId":216523,"corporation":false,"usgs":false,"family":"Flecker","given":"Alexander","email":"","middleInitial":"S.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":924117,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Xu, Xiangtao","contributorId":348758,"corporation":false,"usgs":false,"family":"Xu","given":"Xiangtao","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":923745,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70250474,"text":"sir20235121 - 2023 - Hydrogeology, karst, and groundwater availability of Monroe County, West Virginia","interactions":[],"lastModifiedDate":"2026-03-13T15:40:20.136121","indexId":"sir20235121","displayToPublicDate":"2023-12-14T07:40:00","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-5121","displayTitle":"Hydrogeology, Karst, and Groundwater Availability of Monroe County, West Virginia","title":"Hydrogeology, karst, and groundwater availability of Monroe County, West Virginia","docAbstract":"

Monroe County is in southeastern West Virginia, encompassing an area of 474 square miles. The area consists of karst and siliciclastic aquifers of Ordovician, Silurian, Devonian, and Mississippian age and is in parts of two physiographic provinces: the Valley and Ridge Province to the east of Peters Mountain, and the Appalachian Plateau Province to the west of Peters Mountain. This study was developed in response to inquiries from the Monroe County Commission requesting assessment of the water resources of the county to better understand the quantity of the county’s groundwater resources, for both current [2023] and future demand, and to provide information to support protection and management of the county’s valuable groundwater resources.

Various products were developed for this study that provide knowledge with respect to water availability and contamination susceptibility of the karst aquifers within the county. U.S. Geological Survey (USGS) geologists conducted extensive geologic mapping in support of the project, producing (1) a countywide bedrock geologic map, (2) a countywide hydrogeologic map, and (3) a light detection and ranging (lidar)-derived countywide digital elevation model and associated sinkhole map. A significant part of this work was to map in detail the Greenbrier Group at the formation level, which prior to this study had only partially been completed. The report also includes (4) a description of the lithologic units identified as part of the geologic mapping process.

U.S. Geological Survey hydrologists completed several additional products for the hydrology part of the effort, including development of (1) a countywide potentiometric surface (water-table) map, (2) a countywide base-flow stream assessment, (3) countywide water-budget estimates, (4) well log surveys for 15 wells to better understand subsurface controls on groundwater flow within the study area, (5) two groundwater tracer tests to better refine the groundwater divide from the northern and southern parts of the karst aquifer in Monroe County; and finally, based on all available data collected for the study including the potentiometric surface map, geologic map, current [2023] and legacy fluorometric groundwater tracer tests, and base-flow stream assessments, (6) groundwater-basin delineations were reassessed for principal groundwater basins within the Greenbrier aquifer.

In Monroe County, four principal hydrogeologic settings produce large yields of water for residential, agricultural, and other uses. The most relied upon water-bearing zone with respect to current [2023] public water supply is from springs along Peters Mountain. These springs are derived from intervals of fractured sandstone and resultant alluvial deposits. Groundwater flows downslope through these permeable alluvial deposits and discharges at the contact with less permeable strata, such as the Reedsville Shale. The second most relied upon water-bearing zone in Monroe County is within the karstic Greenbrier Group aquifer, in which the basal Hillsdale Limestone overlies the less permeable Maccrady Shale. This geologic contact between the Hillsdale Limestone and Maccrady Shale is not only targeted as a source of water for agricultural supply but also is targeted as a source of water for residential supply. The third most relied upon water-bearing zone is composed of shallow perched aquifers within the Greenbrier Group. The discontinuous nature of these perched aquifers makes mapping their extent impossible, but they are related to permeable geologic strata, such as karstified limestones with solutionally enhanced permeability that overlies less permeable shale or chert bedrock. During geologic mapping of the county, several of these perched aquifers were documented in the Pickaway, Union, and Alderson Limestones. A fourth zone consists of springs from Ordovician carbonates at the base of Peters Mountain, which are influenced by sinking streams as well as upwelling along faults. In terms of water quantity, the most sustainable springs are those having deeper-sourced flows.

Public supplies are a principal source of water used for residential and commercial supply in the region, accounting for 0.49 million gallons per day (Mgal/d) of fresh-water withdrawals (0.14 Mgal/d of groundwater and 0.35 Mgal/d of surface water) for residential and commercial use and serving 6,645 individuals (49.2 percent of the population). An estimated 6,861 people, (50.8 percent of the population) primarily rely on private wells or other unregulated sources, such as springs, and withdraw 0.55 Mgal/d of groundwater for their residential use. Public water supply in the region is primarily (71.4 percent) derived from springs and augmented by stream withdrawals (backup sources mainly during low-flow periods), with the remaining portion (28.6 percent) derived from groundwater withdrawals from wells. For rural residents, however, 100 percent of their withdrawals are derived from groundwater (wells or springs).

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235121","isbn":"978-1-4113-4541-6","collaboration":"Prepared in cooperation with the West Virginia Department of Environmental Protection, the West Virginia Department of Health & Human Resources, and the Monroe County Commission","usgsCitation":"Kozar, M.D., Doctor, D.H., Jones, W.K., Chien, N., Cox, C.E., Orndorff, R.C., Weary, D.J., Weaver, M.R., McAdoo, M.A., and Parker, M., 2023, Hydrogeology, karst, and groundwater availability of Monroe County, West Virginia: U.S. Geological Survey Scientific Investigations Report 2023–5121, 82 p., https://doi.org/10.3133/sir20235121.","productDescription":"Report: xii, 81 p.; 4 Appendixes, 5 Data Releases","numberOfPages":"81","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-153904","costCenters":[{"id":37280,"text":"Virginia and West Virginia Water Science Center 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Director, Virginia and West Virginia Water Science Center
U.S. Geological Survey
1730 East Parham Road
Richmond, Virginia 23228

Contact Pubs Warehouse

","tableOfContents":"","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2023-12-14","noUsgsAuthors":false,"publicationDate":"2023-12-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Kozar, Mark D. 0000-0001-7755-7657 mdkozar@usgs.gov","orcid":"https://orcid.org/0000-0001-7755-7657","contributorId":1963,"corporation":false,"usgs":true,"family":"Kozar","given":"Mark","email":"mdkozar@usgs.gov","middleInitial":"D.","affiliations":[{"id":37280,"text":"Virginia and West Virginia Water Science Center ","active":true,"usgs":true}],"preferred":true,"id":890052,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Doctor, Daniel H. 0000-0002-8338-9722 dhdoctor@usgs.gov","orcid":"https://orcid.org/0000-0002-8338-9722","contributorId":2037,"corporation":false,"usgs":true,"family":"Doctor","given":"Daniel","email":"dhdoctor@usgs.gov","middleInitial":"H.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science 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Cheyenne E. 0000-0002-5213-7880","orcid":"https://orcid.org/0000-0002-5213-7880","contributorId":332336,"corporation":false,"usgs":false,"family":"Cox","given":"Cheyenne","email":"","middleInitial":"E.","affiliations":[{"id":79456,"text":"former USGS Employee (Florence Bascom)","active":true,"usgs":false}],"preferred":false,"id":890056,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Orndorff, Randall C. 0000-0002-8956-5803 rorndorf@usgs.gov","orcid":"https://orcid.org/0000-0002-8956-5803","contributorId":2739,"corporation":false,"usgs":true,"family":"Orndorff","given":"Randall","email":"rorndorf@usgs.gov","middleInitial":"C.","affiliations":[{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science 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Center","active":true,"usgs":true}],"preferred":true,"id":890059,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"McAdoo, Mitchell A. 0000-0002-3895-0816 mmcadoo@usgs.gov","orcid":"https://orcid.org/0000-0002-3895-0816","contributorId":200287,"corporation":false,"usgs":true,"family":"McAdoo","given":"Mitchell","email":"mmcadoo@usgs.gov","middleInitial":"A.","affiliations":[{"id":37280,"text":"Virginia and West Virginia Water Science Center ","active":true,"usgs":true}],"preferred":true,"id":890060,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Parker, Mercer 0000-0001-6683-6458 mercerparker@usgs.gov","orcid":"https://orcid.org/0000-0001-6683-6458","contributorId":203174,"corporation":false,"usgs":true,"family":"Parker","given":"Mercer","email":"mercerparker@usgs.gov","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":890061,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70250658,"text":"70250658 - 2023 - Inundation tolerance, rather than drought tolerance, predicts riparian plant distributions along a local hydrologic gradient","interactions":[],"lastModifiedDate":"2023-12-22T13:05:59.003272","indexId":"70250658","displayToPublicDate":"2023-12-14T07:04:44","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Inundation tolerance, rather than drought tolerance, predicts riparian plant distributions along a local hydrologic gradient","docAbstract":"

Riparian vegetation varies along hydrologic gradients, along which inundation and drought tend to be inversely correlated. Differentiating effects of inundation and drought on plant distributions is critical for predicting impacts of changes to baseflows and designing flow patterns to achieve vegetation objectives in regulated river systems. To this end, we conducted a greenhouse experiment where we decreased, increased, or maintained constant water levels experienced by a suite of riparian plant species. We related changes in new root growth and stomatal conductance under experimental conditions to species hydrologic niches in the field, specifically the median elevation at which they occur above the channel, along the regulated Colorado River in Grand Canyon. We found a significant negative relationship between root growth response to experimental inundation with increasing elevation above the channel in the field, and a negative response of stomatal conductance to inundation among the most xeric-adapted species. Drought responses were idiosyncratic with respect to hydrologic niche, and instead seemed to vary in relation to clonality and rooting depth. Several Salicaceae tree species that are uncommon along regulated rivers exhibited consistently negative responses to both drought and inundation relative to other species, which may explain their rarity. The results of this study suggest that riparian plant distributions along hydrologic gradients have been shaped primarily by current and past levels of inundation. However, future anticipated declines in the water table are likely to produce species-specific responses based on drought tolerance that may in part be predicted from the results of this experiment.

","language":"English","publisher":"Springer","doi":"10.1007/s13157-023-01730-2","usgsCitation":"Butterfield, B.J., and Palmquist, E.C., 2023, Inundation tolerance, rather than drought tolerance, predicts riparian plant distributions along a local hydrologic gradient: Wetlands, v. 44, no. 6, 6, 12 p., https://doi.org/10.1007/s13157-023-01730-2.","productDescription":"6, 12 p.","ipdsId":"IP-152535","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":423861,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"44","issue":"6","noUsgsAuthors":false,"publicationDate":"2023-12-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Butterfield, Bradley J. 0000-0003-0974-9811","orcid":"https://orcid.org/0000-0003-0974-9811","contributorId":167009,"corporation":false,"usgs":false,"family":"Butterfield","given":"Bradley","email":"","middleInitial":"J.","affiliations":[{"id":24591,"text":"Merriam-Powell Center for Environmental Research and Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ, USA","active":true,"usgs":false}],"preferred":false,"id":890907,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Palmquist, Emily C. 0000-0003-1069-2154 epalmquist@usgs.gov","orcid":"https://orcid.org/0000-0003-1069-2154","contributorId":5669,"corporation":false,"usgs":true,"family":"Palmquist","given":"Emily","email":"epalmquist@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":890906,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70251283,"text":"70251283 - 2023 - Unprecedented distribution data for Joshua trees (Yucca brevifolia and Y. jaegeriana) reveal contemporary climate associations of a Mojave Desert icon","interactions":[],"lastModifiedDate":"2024-02-02T12:42:56.771463","indexId":"70251283","displayToPublicDate":"2023-12-14T06:37:17","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17146,"text":"Frontiers Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Unprecedented distribution data for Joshua trees (Yucca brevifolia and Y. jaegeriana) reveal contemporary climate associations of a Mojave Desert icon","docAbstract":"

Introduction: Forecasting range shifts in response to climate change requires accurate species distribution models (SDMs), particularly at the margins of species' ranges. However, most studies producing SDMs rely on sparse species occurrence datasets from herbarium records and public databases, along with random pseudoabsences. While environmental covariates used to fit SDMS are increasingly precise due to satellite data, the availability of species occurrence records is still a large source of bias in model predictions. We developed distribution models for hybridizing sister species of western and eastern Joshua trees (Yucca brevifolia and Y. jaegeriana, respectively), iconic Mojave Desert species that are threatened by climate change and habitat loss.

Methods: We conducted an intensive visual grid search of online satellite imagery for 672,043 0.25 km2 grid cells to identify the two species' presences and absences on the landscape with exceptional resolution, and field validated 29,050 cells in 15,001 km of driving. We used the resulting presence/absence data to train SDMs for each Joshua tree species, revealing the contemporary environmental gradients (during the past 40 years) with greatest influence on the current distribution of adult trees.

Results: While the environments occupied by Y. brevifolia and Y. jaegeriana were similar in total aridity, they differed with respect to seasonal precipitation and temperature ranges, suggesting the two species may have differing responses to climate change. Moreover, the species showed differing potential to occupy each other's geographic ranges: modeled potential habitat for Y. jaegeriana extends throughout the range of Y. brevifolia, while potential habitat for Y. brevifolia is not well represented within the range of Y. jaegeriana.

Discussion: By reproducing the current range of the Joshua trees with high fidelity, our dataset can serve as a baseline for future research, monitoring, and management of this species, including an increased understanding of dynamics at the trailing and leading margins of the species' ranges and potential for climate refugia.

","language":"English","publisher":"Frontiers","doi":"10.3389/fevo.2023.1266892","usgsCitation":"Esque, T., Shryock, D., Berr, G.A., Chen, F., DeFalco, L., Lewicki, S.M., Cunningham, B.L., Gaylord, E.J., Poage, C.S., Gantz, G.E., Van Gaalen, R.A., Gottsacker, B.O., Mcdonald, A.M., Yoder, J., Smith, C., and Nussear, K., 2023, Unprecedented distribution data for Joshua trees (Yucca brevifolia and Y. jaegeriana) reveal contemporary climate associations of a Mojave Desert icon: Frontiers Ecology and Evolution, v. 11, 1266892, 20 p., https://doi.org/10.3389/fevo.2023.1266892.","productDescription":"1266892, 20 p.","ipdsId":"IP-159615","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":441412,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fevo.2023.1266892","text":"Publisher Index Page"},{"id":425278,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -120.58014768204356,\n 38.89373609553763\n ],\n [\n -120.58014768204356,\n 32.02965081218825\n ],\n [\n -111.08796018204377,\n 32.02965081218825\n ],\n [\n -111.08796018204377,\n 38.89373609553763\n ],\n [\n -120.58014768204356,\n 38.89373609553763\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"11","noUsgsAuthors":false,"publicationDate":"2023-12-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Esque, Todd 0000-0002-4166-6234 tesque@usgs.gov","orcid":"https://orcid.org/0000-0002-4166-6234","contributorId":195896,"corporation":false,"usgs":true,"family":"Esque","given":"Todd","email":"tesque@usgs.gov","affiliations":[{"id":651,"text":"Western 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Center","active":true,"usgs":true}],"preferred":true,"id":893860,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Yoder, J.B.","contributorId":333766,"corporation":false,"usgs":false,"family":"Yoder","given":"J.B.","affiliations":[{"id":7080,"text":"California State University, Northridge","active":true,"usgs":false}],"preferred":false,"id":893862,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Smith, C.I.","contributorId":333767,"corporation":false,"usgs":false,"family":"Smith","given":"C.I.","affiliations":[{"id":7268,"text":"Willamette University","active":true,"usgs":false}],"preferred":false,"id":893863,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Nussear, K.E. 0000-0002-3849-8911","orcid":"https://orcid.org/0000-0002-3849-8911","contributorId":333768,"corporation":false,"usgs":false,"family":"Nussear","given":"K.E.","email":"","affiliations":[{"id":16686,"text":"University of Nevada, Reno","active":true,"usgs":false}],"preferred":false,"id":893864,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}} ,{"id":70251037,"text":"70251037 - 2023 - Identifying invasive species threats, pathways, and impacts to improve biosecurity","interactions":[],"lastModifiedDate":"2024-01-18T12:39:27.872516","indexId":"70251037","displayToPublicDate":"2023-12-14T06:36:39","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Identifying invasive species threats, pathways, and impacts to improve biosecurity","docAbstract":"

Managing invasive species with prevention and early-detection strategies can avert severe ecological and economic impacts. Horizon scanning, an evidence-based process combining risk screening and consensus building to identify threats, has become a valuable tool for prioritizing invasive species management and prevention. We assembled a working group of experts from academic, government, and nonprofit agencies and organizations, and conducted a multi-taxa horizon scan for Florida, USA, the first of its kind in North America. Our primary objectives were to identify high-risk species and their introduction pathways, to detail the magnitude and mechanism of potential impacts, and, more broadly, to demonstrate the utility of horizon scanning. As a means to facilitate future horizon scans, we document the process used to generate the list of taxa for screening. We evaluated 460 taxa for their potential to arrive, establish, and cause negative ecological and socioeconomic impacts, and identified 40 potential invaders, including alewife, zebra mussel, crab-eating macaque, and red swamp crayfish. Vertebrates and aquatic invertebrates posed the greatest invasion threat, over half of the high-risk taxa were omnivores, and there was high confidence in the scoring of high-risk taxa. Common arrival pathways were ballast water, biofouling of vessels, and escape from the pet/aquarium/horticulture trade. Competition, predation, and damage to agriculture/forestry/aquaculture were common impact mechanisms. We recommend full risk analysis for the high-risk taxa; increased surveillance at Florida's ports, state borders, and high-risk pathways; and periodic review and revision of the list. Few horizon scans detail the comprehensive methodology (including list-building), certainty estimates for all scoring categories and the final score, detailed pathways, and the magnitude and mechanism of impact. Providing this information can further inform prevention efforts and can be efficiently replicated in other regions. Moreover, harmonizing methodology can facilitate data sharing and enhance interpretation of results for stakeholders and the general public.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.4711","usgsCitation":"Lieurance, D., Canavan, S., Behringer, D.C., Kendig, A., Minteer, C.R., Reisinger, L.S., Romagosa, C.M., Flory, S., Lockwood, J.L., Anderson, P., Baker, S.M., Bojko, J., Bowers, K.E., Canavan, K., Carruthers, K., Daniel, W., Gordon, D.R., Hill, J.E., Howeth, J., Iannone, B., Jennings, L., Gettys, L., Kariuki, E.M., Kunzer, J.M., Laughinghouse, H.D., Mandrak, N.E., McCann, S., Morawo, T., Morningstar, C.R., Neilson, M., Petri, T., Pfingsten, I., Reed, R., Walters, L., and Wanamaker, C., 2023, Identifying invasive species threats, pathways, and impacts to improve biosecurity: Ecosphere, v. 14, no. 12, e4711, 16 p., https://doi.org/10.1002/ecs2.4711.","productDescription":"e4711, 16 p.","ipdsId":"IP-156894","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":441415,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.4711","text":"Publisher Index Page"},{"id":424583,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"12","noUsgsAuthors":false,"publicationDate":"2023-12-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Lieurance, Deah 0000-0001-8176-3146","orcid":"https://orcid.org/0000-0001-8176-3146","contributorId":293605,"corporation":false,"usgs":false,"family":"Lieurance","given":"Deah","email":"","affiliations":[{"id":63333,"text":"Agronomy Department, University of Florida","active":true,"usgs":false}],"preferred":false,"id":892816,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Canavan, Susan 0000-0002-7972-7928","orcid":"https://orcid.org/0000-0002-7972-7928","contributorId":293598,"corporation":false,"usgs":false,"family":"Canavan","given":"Susan","email":"","affiliations":[{"id":63333,"text":"Agronomy Department, University of Florida","active":true,"usgs":false}],"preferred":false,"id":892817,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Behringer, Donald C.","contributorId":333440,"corporation":false,"usgs":false,"family":"Behringer","given":"Donald","email":"","middleInitial":"C.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":892818,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kendig, Amy E.","contributorId":333442,"corporation":false,"usgs":false,"family":"Kendig","given":"Amy E.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":892819,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Minteer, Carey R.","contributorId":333444,"corporation":false,"usgs":false,"family":"Minteer","given":"Carey","email":"","middleInitial":"R.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":892820,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Reisinger, Lindsey S.","contributorId":333446,"corporation":false,"usgs":false,"family":"Reisinger","given":"Lindsey","email":"","middleInitial":"S.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":892821,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Romagosa, Christina M.","contributorId":200925,"corporation":false,"usgs":false,"family":"Romagosa","given":"Christina","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":892822,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Flory, S. 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The use of species distribution models has proliferated, providing insights for sustainable management of migratory species in a globally changing environment. However, many of these models are based on statistical relationships developed from historical conditions that may not perform well under changing or even analogous conditions caused by climate change. In this paper, we used a mechanistic species distribution model called GR3D (Global Repositioning Dynamics for Diadromous Fish Distribution) to examine the integrated dynamics of American shad (Alosa sapidissima) populations across their native range along the Eastern U.S. coast, where the species demonstrates latitudinal variations in life histories and reproductive strategies. The initial design of the model was adapted to incorporate region-specific parameterization to fit the species ecology. Then, a sensitivity analysis was performed to test the influences of uncertain processes regarding American shad distribution at sea, straying and reproduction on key characteristics of the species distribution. The sensitivity analysis showed the influence of the Allee effect (i.e., “depensatory” process) and the homing rate (i.e., fidelity to the breeding sites) on the probability of presence and abundances among catchments and metapopulations estimated by the model. Contrary to the homing rate, the distance of straying did not change the estimated number of metapopulations or abundances. Homing strength, however, was quite influential. The integration of complex migration patterns during the marine phase (i.e., wintering and summering offshore areas) provided more likely estimates of the species' overall distribution. Overall, our study illustrated the utility of incorporating factors governing the large-scale distribution of migratory species to improve local management.

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