{"pageNumber":"423","pageRowStart":"10550","pageSize":"25","recordCount":184580,"records":[{"id":70226695,"text":"70226695 - 2022 - Foreword: Wetland carbon and environmental management","interactions":[],"lastModifiedDate":"2021-12-06T12:30:17.762073","indexId":"70226695","displayToPublicDate":"2021-12-01T06:29:32","publicationYear":"2022","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Foreword: Wetland carbon and environmental management","docAbstract":"

No abstract available.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Wetland carbon and environmental management","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"American Geophysical Union","doi":"10.1002/9781119639305","usgsCitation":"Covington, S., and Willard, D.A., 2022, Foreword: Wetland carbon and environmental management, chap. of Wetland carbon and environmental management, v. 267, p. xvii-xviii, https://doi.org/10.1002/9781119639305.","productDescription":"2 p.","startPage":"xvii","endPage":"xviii","ipdsId":"IP-118854","costCenters":[{"id":24693,"text":"Climate Research and Development","active":true,"usgs":true}],"links":[{"id":392497,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"267","noUsgsAuthors":false,"publicationDate":"2021-10-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Covington, Scott","contributorId":245970,"corporation":false,"usgs":false,"family":"Covington","given":"Scott","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":827722,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Willard, Debra A. 0000-0003-4878-0942 dwillard@usgs.gov","orcid":"https://orcid.org/0000-0003-4878-0942","contributorId":2076,"corporation":false,"usgs":true,"family":"Willard","given":"Debra","email":"dwillard@usgs.gov","middleInitial":"A.","affiliations":[{"id":24693,"text":"Climate Research and Development","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":827723,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70236428,"text":"70236428 - 2022 - Multiple lines of evidence for identifying potential hazards to fish from contaminants of emerging concern in Great Lakes tributaries","interactions":[],"lastModifiedDate":"2022-09-07T12:05:20.977639","indexId":"70236428","displayToPublicDate":"2021-11-30T07:00:40","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2006,"text":"Integrated Environmental Assessment and Management","active":true,"publicationSubtype":{"id":10}},"title":"Multiple lines of evidence for identifying potential hazards to fish from contaminants of emerging concern in Great Lakes tributaries","docAbstract":"

Contaminants of emerging concern (CECs; e.g., pharmaceuticals, flame retardants, pesticides, and industrial chemicals) are omnipresent throughout tributaries to the Great Lakes. Furthermore, CECs are often present at concentrations that are potentially hazardous to aquatic species. Since 2010, we characterized the presence of CECs at 309 sites within 47 Great Lakes tributaries and characterized responses of fathead minnow (Pimephales promelas) exposed to river water at a subset of 26 sites within four tributaries. Our work resulted in three independent lines of evidence related to the potential hazards of CEC exposure to fish. First, vulnerability (where vulnerability refers to likelihood) of surface waters to CEC presence was predicted using select watershed characteristics. Second, hazard to fish (where hazard means the potential for adverse biological responses) was predicted using screening values for a subset of CECs. Third, biological responses of fathead minnow exposed to river water in streamside exposures were measured. We assessed the congruence of these three lines of evidence for identifying sites with elevated hazards to CEC exposure. Predicted vulnerability and hazards agreed at 66% of all sites. Where the two indices did not agree, vulnerability often underestimated predicted hazard. When compared with measured biological responses from streamside exposures, predicted hazards agreed for 42% of samples. Furthermore, when predicted hazards for specific effect categories were compared with similar measured biomarkers, 26% and 46% of samples agreed for reproductive and physiological effect categories, respectively. Overall, vulnerability and hazard predictions tended to overestimate the measured biological responses, providing a protective estimate of the potential hazards of CEC exposure to fish. When used together, these three approaches can help resource managers prioritize management activities in minimizing hazards of CEC exposure and can be used by researchers to prioritize studies focused on understanding the hazards of CEC exposure to fish. Integr Environ Assess Manag 2022;18:1246–1259. © 2021 The Authors. Integrated Environmental Assessment and Management published by Wiley Periodicals LLC on behalf of Society of Environmental Toxicology & Chemistry (SETAC). This article has been contributed to by US Government employees and their work is in the public domain in the USA.

","language":"English","publisher":"Wiley","doi":"10.1002/ieam.4561","usgsCitation":"Elliott, S.M., Gefell, D.J., Kiesling, R.L., Hummel, S.L., King, C.K., Christen, C.H., Kohno, S., and Schoenfuss, H.L., 2022, Multiple lines of evidence for identifying potential hazards to fish from contaminants of emerging concern in Great Lakes tributaries: Integrated Environmental Assessment and Management, v. 18, no. 5, p. 1246-1259, https://doi.org/10.1002/ieam.4561.","productDescription":"14 p.","startPage":"1246","endPage":"1259","ipdsId":"IP-131247","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":449496,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ieam.4561","text":"Publisher Index Page"},{"id":406297,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Great Lakes","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -92.4169921875,\n 41.178653972331674\n ],\n [\n -75.673828125,\n 41.178653972331674\n ],\n [\n -75.673828125,\n 48.8936153614802\n ],\n [\n -92.4169921875,\n 48.8936153614802\n ],\n [\n -92.4169921875,\n 41.178653972331674\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"18","issue":"5","noUsgsAuthors":false,"publicationDate":"2021-11-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Elliott, Sarah M. 0000-0002-1414-3024 selliott@usgs.gov","orcid":"https://orcid.org/0000-0002-1414-3024","contributorId":1472,"corporation":false,"usgs":true,"family":"Elliott","given":"Sarah","email":"selliott@usgs.gov","middleInitial":"M.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":850989,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gefell, Daniel J.","contributorId":138671,"corporation":false,"usgs":false,"family":"Gefell","given":"Daniel","email":"","middleInitial":"J.","affiliations":[{"id":6678,"text":"U.S. Fish and Wildlife Service, Alaska Maritime National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":850990,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kiesling, Richard L. 0000-0002-3017-1826 kiesling@usgs.gov","orcid":"https://orcid.org/0000-0002-3017-1826","contributorId":1837,"corporation":false,"usgs":true,"family":"Kiesling","given":"Richard","email":"kiesling@usgs.gov","middleInitial":"L.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":851075,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hummel, Stephanie L.","contributorId":296241,"corporation":false,"usgs":false,"family":"Hummel","given":"Stephanie","email":"","middleInitial":"L.","affiliations":[{"id":16956,"text":"US Fish & Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":851076,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"King, Chryssa K.","contributorId":296243,"corporation":false,"usgs":false,"family":"King","given":"Chryssa","email":"","middleInitial":"K.","affiliations":[{"id":20306,"text":"St. Cloud State University","active":true,"usgs":false}],"preferred":false,"id":851077,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Christen, Charles H.","contributorId":296267,"corporation":false,"usgs":false,"family":"Christen","given":"Charles","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":851078,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kohno, Satomi","contributorId":264174,"corporation":false,"usgs":false,"family":"Kohno","given":"Satomi","email":"","affiliations":[],"preferred":false,"id":851079,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Schoenfuss, Heiko L.","contributorId":76409,"corporation":false,"usgs":false,"family":"Schoenfuss","given":"Heiko","email":"","middleInitial":"L.","affiliations":[{"id":13317,"text":"Saint Cloud State University","active":true,"usgs":false}],"preferred":false,"id":851080,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70226760,"text":"70226760 - 2022 - The impact of 3D finite‐fault information on ground‐motion forecasting for earthquake early warning","interactions":[],"lastModifiedDate":"2022-03-28T16:28:59.512213","indexId":"70226760","displayToPublicDate":"2021-11-30T06:33:29","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"The impact of 3D finite‐fault information on ground‐motion forecasting for earthquake early warning","docAbstract":"

We identify aspects of finite‐source parameterization that strongly affect the accuracy of estimated ground motion for earthquake early warning (EEW). EEW systems aim to alert users to impending shaking before it reaches them. The U.S. West Coast EEW system, ShakeAlert, currently uses two algorithms based on seismic data to characterize the earthquake’s location, magnitude, and origin time, treating it as a point or line source. From this information, ShakeAlert calculates shaking intensity and alerts locations where shaking estimates exceed a threshold. Several geodetic EEW algorithms under development would provide 3D finite‐fault information. We investigate conditions under which this information produces sufficiently better intensity estimates to potentially improve alerting. Using scenario crustal and subduction interface sources, we (1) identify the most influential source geometry parameters for an EEW algorithm’s shaking forecast, and (2) assess the intensity alert thresholds and magnitude ranges for which more detailed source characterization affects alert accuracy. We find that alert regions determined using 3D‐source representations of correct magnitude and faulting mechanism are generally more accurate than those obtained using line sources. If a line‐source representation is used and magnitude is calculated from the estimated length, then incorrect length estimates significantly degrade alert region accuracy. In detail, the value of 3D‐source characterization depends on the user’s chosen alert threshold, tectonic regime, and faulting style. For the suite of source models we tested, the error in shaking intensity introduced by incorrect geometry could reach levels comparable to the intrinsic uncertainty in ground‐motion calculations (e.g., 0.5–1.3 modified Mercalli intensity [MMI] units for MMI 4.5) but, especially for crustal sources, was often less. For subduction interface sources, 3D representations substantially improved alert area accuracy compared to line sources, and incorrect geometry parameters were more likely to cause error in calculated shaking intensity that exceeded uncertainties.

","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120210162","usgsCitation":"Murray, J.R., Thompson, E.M., Baltay Sundstrom, A.S., and Minson, S.E., 2022, The impact of 3D finite‐fault information on ground‐motion forecasting for earthquake early warning: Bulletin of the Seismological Society of America, v. 112, no. 2, p. 779-802, https://doi.org/10.1785/0120210162.","productDescription":"24 p.","startPage":"779","endPage":"802","ipdsId":"IP-130425","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":392720,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"112","issue":"2","noUsgsAuthors":false,"publicationDate":"2021-11-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Murray, Jessica R. 0000-0002-6144-1681 jrmurray@usgs.gov","orcid":"https://orcid.org/0000-0002-6144-1681","contributorId":2759,"corporation":false,"usgs":true,"family":"Murray","given":"Jessica","email":"jrmurray@usgs.gov","middleInitial":"R.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":828178,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thompson, Eric M. 0000-0002-6943-4806 emthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-6943-4806","contributorId":150897,"corporation":false,"usgs":true,"family":"Thompson","given":"Eric","email":"emthompson@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":828179,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baltay Sundstrom, Annemarie S. 0000-0002-6514-852X abaltay@usgs.gov","orcid":"https://orcid.org/0000-0002-6514-852X","contributorId":4932,"corporation":false,"usgs":true,"family":"Baltay Sundstrom","given":"Annemarie","email":"abaltay@usgs.gov","middleInitial":"S.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":828180,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Minson, Sarah E. 0000-0001-5869-3477 sminson@usgs.gov","orcid":"https://orcid.org/0000-0001-5869-3477","contributorId":5357,"corporation":false,"usgs":true,"family":"Minson","given":"Sarah","email":"sminson@usgs.gov","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":828181,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70241495,"text":"70241495 - 2022 - Projecting the remaining habitat for the western spadefoot (Spea hammondii) in heavily urbanized southern California","interactions":[],"lastModifiedDate":"2023-03-22T13:21:05.043486","indexId":"70241495","displayToPublicDate":"2021-11-29T08:17:25","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3871,"text":"Global Ecology and Conservation","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Projecting the remaining habitat for the western spadefoot (Spea hammondii) in heavily urbanized southern California","title":"Projecting the remaining habitat for the western spadefoot (Spea hammondii) in heavily urbanized southern California","docAbstract":"

Extensive urbanization in coastal southern California has reduced natural habitat in this biodiversity hotspot. To better conserve ecological communities, state and federal agencies, along with local jurisdictions and private stakeholders, developed regional conservation plans for southern California. Although many protected areas exist within this region, the patchwork nature of these protected areas might not provide good coverage for species that require multiple habitat components, such as amphibians with complex life histories. Because of declines in the past century, the status of the western spadefoot (Spea hammondii) in southern California is of concern to state and federal wildlife agencies. Species distribution models (SDMs) can aid in determining the conservation status of imperiled species by projecting where suitable habitat remains and how much is protected from further development. We built SDMs that integrated site-occupancy data from systematic pitfall trapping surveys and presence-only data from biodiversity databases and citizen science platforms to project the current distribution of western spadefoots in southern California. Western spadefoot occurrence was positively related to the cover of grassland or shrub/scrub and the % sand in the soil within a 1000 m buffer, and was negatively related to slope, elevation, and distance to ephemeral streams or vernal pools. Most of the remaining unprotected habitat for western spadefoots is in the southern half of its historical range in western San Diego and Riverside counties. A few large tracts of spadefoot habitat exist on U.S. Department of Defense lands and smaller tracts remain on ecological reserves owned by state and local government agencies. Only small patches of habitat remain in the northern half of this clade’s historical range in Ventura, Orange, Los Angeles, and San Bernardino counties. Existing regional conservation plans provide ostensible spatial coverage of the majority of extant habitat for western spadefoots in southern California, but most of the habitat within the jurisdiction of these plans lacks formal protection, exposing this species to further declines as urbanization continues in the 21st century.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.gecco.2021.e01944","usgsCitation":"Rose, J.P., Halstead, B., Packard, R.H., and Fisher, R., 2022, Projecting the remaining habitat for the western spadefoot (Spea hammondii) in heavily urbanized southern California: Global Ecology and Conservation, v. 33, e01944, 16 p., https://doi.org/10.1016/j.gecco.2021.e01944.","productDescription":"e01944, 16 p.","ipdsId":"IP-123687","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":449500,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gecco.2021.e01944","text":"Publisher Index Page"},{"id":486326,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9YYKW1H","text":"USGS data release","linkHelpText":"Code to fit integrated Species Distribution Models to occurrence data for the Western Spadefoot (Spea hammondii) in Southern California."},{"id":414543,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"southern California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -116.03709900369654,\n 32.618965807566894\n ],\n [\n -116.03709900369654,\n 34.57584559465637\n ],\n [\n -118.93425527477612,\n 34.57584559465637\n ],\n [\n -118.93425527477612,\n 32.618965807566894\n ],\n [\n -116.03709900369654,\n 32.618965807566894\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"33","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Rose, Jonathan P. 0000-0003-0874-9166 jprose@usgs.gov","orcid":"https://orcid.org/0000-0003-0874-9166","contributorId":199339,"corporation":false,"usgs":true,"family":"Rose","given":"Jonathan","email":"jprose@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":867026,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Halstead, Brian J. 0000-0002-5535-6528 bhalstead@usgs.gov","orcid":"https://orcid.org/0000-0002-5535-6528","contributorId":3051,"corporation":false,"usgs":true,"family":"Halstead","given":"Brian J.","email":"bhalstead@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":867027,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Packard, Robert H.","contributorId":303286,"corporation":false,"usgs":false,"family":"Packard","given":"Robert","email":"","middleInitial":"H.","affiliations":[{"id":65748,"text":"Western Riverside County Multiple Species Habitat Conservation Plan","active":true,"usgs":false}],"preferred":false,"id":867028,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fisher, Robert N. 0000-0002-2956-3240","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":51675,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":867029,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70226723,"text":"70226723 - 2022 - The silence of the clams: Forestry registered pesticides as multiple stressors on soft-shell clams","interactions":[],"lastModifiedDate":"2022-03-15T16:17:45.230156","indexId":"70226723","displayToPublicDate":"2021-11-29T06:41:43","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"The silence of the clams: Forestry registered pesticides as multiple stressors on soft-shell clams","docAbstract":"

Contaminants are ubiquitous in the environment, often reaching aquatic systems. Combinations of forestry use pesticides have been detected in both water and aquatic organism tissue samples in coastal systems. Yet, most toxicological studies focus on the effects of these pesticides individually, at high doses, and over acute time periods, which, while key for establishing toxicity and safe limits, are rarely environmentally realistic. We examined chronic (90 days) exposure by the soft-shell clam, Mya arenaria, to environmentally relevant concentrations of four pesticides registered for use in forestry (atrazine, 5 μg/L; hexazinone, 0.3 μg/L; indaziflam, 5 μg/L; and bifenthrin, 1.5 μg/g organic carbon (OC)). Pesticides were tested individually and in combination, except bifenthrin, which was tested only in combination with the other three. We measured shell growth and condition index every 30 days, as well as feeding rates, mortality, and chemical concentrations in tissue from a subset of clams at the end of the experiment to measure contaminant uptake. Indaziflam caused a high mortality rate (max. 36%), followed by atrazine (max. 27%), both individually as well as in combination with other pesticides. Additionally, indaziflam concentrations in tissue (61.70–152.56 ng/g) were higher than those of atrazine (26.48–48.56 ng/g), despite equal dosing concentrations, indicating higher tissue accumulation. Furthermore, clams exposed to indaziflam and hexazinone experienced reduced condition index and clearance rates individually and in combination with other compounds; however, the two combined did not result in significant mortality. These two compounds, even at environmentally relevant concentrations, affected a non-target organism and, in the case of the herbicide indaziflam, accumulated in clam tissue and appeared more toxic than other tested pesticides. These findings underscore the need for more comprehensive studies combining multiple compounds at relevant concentrations to understand their impacts on aquatic ecosystems.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2021.152053","usgsCitation":"Tissot, A.G., Granek, E.F., Thompson, A.W., Hladik, M.L., Moran, P.W., and Scully-Engelmeyer, K., 2022, The silence of the clams: Forestry registered pesticides as multiple stressors on soft-shell clams: Science of the Total Environment, v. 819, 152053, 15 p., https://doi.org/10.1016/j.scitotenv.2021.152053.","productDescription":"152053, 15 p.","ipdsId":"IP-134372","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":449503,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2021.152053","text":"Publisher Index Page"},{"id":392564,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"819","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Tissot, Alexandra G.","contributorId":269833,"corporation":false,"usgs":false,"family":"Tissot","given":"Alexandra","email":"","middleInitial":"G.","affiliations":[{"id":6929,"text":"Portland State University","active":true,"usgs":false}],"preferred":false,"id":827973,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Granek, Elise F.","contributorId":176630,"corporation":false,"usgs":false,"family":"Granek","given":"Elise","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":827974,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, Anne W","contributorId":269834,"corporation":false,"usgs":false,"family":"Thompson","given":"Anne","email":"","middleInitial":"W","affiliations":[{"id":6929,"text":"Portland State University","active":true,"usgs":false}],"preferred":false,"id":827975,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hladik, Michelle L. 0000-0002-0891-2712","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":203857,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":827976,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Moran, Patrick W. 0000-0002-2002-3539 pwmoran@usgs.gov","orcid":"https://orcid.org/0000-0002-2002-3539","contributorId":489,"corporation":false,"usgs":true,"family":"Moran","given":"Patrick","email":"pwmoran@usgs.gov","middleInitial":"W.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":827977,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Scully-Engelmeyer, Kaegen","contributorId":269835,"corporation":false,"usgs":false,"family":"Scully-Engelmeyer","given":"Kaegen","affiliations":[{"id":6929,"text":"Portland State University","active":true,"usgs":false}],"preferred":false,"id":827978,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70229725,"text":"70229725 - 2022 - Influence of seasonal extreme flows on Brook Trout recruitment","interactions":[],"lastModifiedDate":"2022-03-16T16:35:05.386435","indexId":"70229725","displayToPublicDate":"2021-11-27T11:31:14","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Influence of seasonal extreme flows on Brook Trout recruitment","docAbstract":"

Populations of Brook Trout Salvelinus fontinalis exhibit large variation in annual recruitment (abundance of young of the year [age 0]), which is likely a product of density-dependent and density-independent factors. Quantifying the importance of each of these mechanisms in regulating Brook Trout recruitment would be valuable to managers that are responsible for the conservation of this iconic species throughout its native range. We analyzed a time series of age-0 and adult Brook Trout density data collected from 10 streams in the Sinnemahoning Creek watershed, north-central Pennsylvania (2010–2019), using Bayesian hierarchical modeling to partition the density-dependent effects of adult density and the density-independent effects of elevated streamflow on Brook Trout recruitment. Multiple models were examined, and the top-ranked model showed that Brook Trout recruitment followed a Ricker stock–recruitment relationship, with annual recruitment negatively influenced by maximum streamflow during the spring season (March–April). This model will be useful in predicting future variation in Brook Trout recruitment under climate change scenarios in which the frequency and intensity of high-flow events are expected to increase.

","language":"English","publisher":"American Fisheries Society","doi":"10.1002/tafs.10347","usgsCitation":"Sweka, J., and Wagner, T., 2022, Influence of seasonal extreme flows on Brook Trout recruitment: North American Journal of Fisheries Management, v. 151, no. 2, p. 231-244, https://doi.org/10.1002/tafs.10347.","productDescription":"14 p.","startPage":"231","endPage":"244","ipdsId":"IP-130483","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":397180,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","otherGeospatial":"Sinnemahoning Creek watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -78.64013671875,\n 41.22824901518529\n ],\n [\n -77.67333984375,\n 41.22824901518529\n ],\n [\n -77.67333984375,\n 41.96765920367816\n ],\n [\n -78.64013671875,\n 41.96765920367816\n ],\n [\n -78.64013671875,\n 41.22824901518529\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"151","issue":"2","noUsgsAuthors":false,"publicationDate":"2022-01-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Sweka, John A.","contributorId":288581,"corporation":false,"usgs":false,"family":"Sweka","given":"John A.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":838108,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wagner, Tyler 0000-0003-1726-016X twagner@usgs.gov","orcid":"https://orcid.org/0000-0003-1726-016X","contributorId":1050,"corporation":false,"usgs":true,"family":"Wagner","given":"Tyler","email":"twagner@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":838107,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70240333,"text":"70240333 - 2022 - Accuracy and precision of otolith-derived age Interpretations for known-age lake trout","interactions":[],"lastModifiedDate":"2023-02-06T13:21:49.565349","indexId":"70240333","displayToPublicDate":"2021-11-27T07:18:55","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Accuracy and precision of otolith-derived age Interpretations for known-age lake trout","docAbstract":"

Catch-at-age data are used to inform important management decisions for recovering populations of Lake Trout Salvelinus namaycush. Age data for Lake Trout are commonly derived from interpretation of annual growth marks (annuli) on the fish’s otoliths. Due to the tendency for annuli to vary in appearance and the subjectivity that is inherent to any age interpretation method, it is important that the common sources of interpretation error be well understood for any aging method used to inform management plans. In this study, coded wire tags were used to establish true ages for 153 Lake Trout to measure the precision and accuracy of age interpretations made from transverse-sectioned otoliths and to identify sources of potential age interpretation error that researchers and managers may encounter when using this method. Precision of age interpretations, as measured by average coefficient of variation, ranged from 7.9% to 9.2%. Accuracy of age interpretations varied among readers, with exact matches ranging from 41.8% to 53.6% and accuracy within ±1 year ranging from 81.0% to 83.0%. Age interpretation errors were more likely to be overestimates of true age for Lake Trout under age 7 and underestimates for Lake Trout over age 13. However, only reader 1 exhibited significant systematic bias in their age interpretations. Poor clarity of the first annuli, growth checks resembling annuli, and faintness of narrow annuli near otolith margins in older fish were identified as likely sources of interpretation error in this study. A digital reference collection of known-age Lake Trout otoliths is provided as supplemental material in the online version of this article. This collection can be used for training new readers, measuring the accuracy of age interpretations, and monitoring for aging bias by anyone using otoliths to obtain age data for Lake Trout.

","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.10726","usgsCitation":"Osborne, C., Robinson, J., Lantry, B.F., Weidel, B., Hardin, I.R., and Connerton, M., 2022, Accuracy and precision of otolith-derived age Interpretations for known-age lake trout: North American Journal of Fisheries Management, v. 42, no. 1, p. 207-216, https://doi.org/10.1002/nafm.10726.","productDescription":"10 p.","startPage":"207","endPage":"216","ipdsId":"IP-131061","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":412731,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"42","issue":"1","noUsgsAuthors":false,"publicationDate":"2021-11-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Osborne, Christopher","contributorId":223772,"corporation":false,"usgs":false,"family":"Osborne","given":"Christopher","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":863442,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Robinson, Jason","contributorId":216164,"corporation":false,"usgs":false,"family":"Robinson","given":"Jason","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":863443,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lantry, Brian F. 0000-0001-8797-3910 bflantry@usgs.gov","orcid":"https://orcid.org/0000-0001-8797-3910","contributorId":3435,"corporation":false,"usgs":true,"family":"Lantry","given":"Brian","email":"bflantry@usgs.gov","middleInitial":"F.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":863444,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Weidel, Brian 0000-0001-6095-2773 bweidel@usgs.gov","orcid":"https://orcid.org/0000-0001-6095-2773","contributorId":2485,"corporation":false,"usgs":true,"family":"Weidel","given":"Brian","email":"bweidel@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":863445,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hardin, Ian R.","contributorId":14261,"corporation":false,"usgs":true,"family":"Hardin","given":"Ian","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":863446,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Connerton, Michael J.","contributorId":25495,"corporation":false,"usgs":false,"family":"Connerton","given":"Michael J.","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":863447,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70226719,"text":"70226719 - 2022 - Review of ESA SYMP 7: A dynamic perspective on ecosystem restoration–establishing temporal connectivity at the intersection between paleoecology and restoration ecology","interactions":[],"lastModifiedDate":"2022-01-25T17:28:32.758596","indexId":"70226719","displayToPublicDate":"2021-11-27T06:56:23","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9941,"text":"Bulletin Ecological Society of America","active":true,"publicationSubtype":{"id":10}},"title":"Review of ESA SYMP 7: A dynamic perspective on ecosystem restoration–establishing temporal connectivity at the intersection between paleoecology and restoration ecology","docAbstract":"Landscape connectivity is vital not only spatially, but also temporally; as ecosystems change, it is important to be aware of past, present, and future variables that may impact ecosystem function and biodiversity. As climate and environments continue to change, choosing appropriate restoration targets is becoming more challenging. By considering the paleoecological and paleoenvironmental record for a given region, restoration practitioners are not only able to bear witness to that region’s dynamic history, but also potentially identify multiple, alternative natural ecosystem states. Indeed, one of the deliverables of conservation paleobiology, a field that applies paleontological data and methods to present-day conservation, is to inform restoration targets. Consideration of future change is equally important, and paleoecological and paleoclimatological data are essential for informing models that can help us understand how climate change is affecting species and ecosystems at different temporal scales. The symposium “A dynamic perspective on ecosystem restoration: Establishing temporal\nconnectivity at the intersection between paleoecology and restoration ecology” gathered representatives from macroecology, paleoecology, and restoration ecology to share their perspectives on temporal connectivity and how consideration of an ecosystem’s past, present, and future can positively impact restoration and conservation. Some speakers approached the topic theoretically, while others considered it from a more practical and applied standpoint. The goals of the symposium were to build a stronger relationship among the subdisciplines, stimulate new ideas, and identify data and/or products that would be useful to share across subdisciplines.","language":"English","publisher":"Ecological Society of America","doi":"10.1002/bes2.1954","usgsCitation":"Reid, R., McGuire, J., Svenning, J., Wingard, G.L., and Moreno-Mateos, D., 2022, Review of ESA SYMP 7: A dynamic perspective on ecosystem restoration–establishing temporal connectivity at the intersection between paleoecology and restoration ecology: Bulletin Ecological Society of America, v. 103, no. 1, e01954, 6 p., https://doi.org/10.1002/bes2.1954.","productDescription":"e01954, 6 p.","ipdsId":"IP-134688","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":467212,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/bes2.1954","text":"External Repository"},{"id":392566,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"103","issue":"1","noUsgsAuthors":false,"publicationDate":"2021-11-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Reid, Rachel","contributorId":269802,"corporation":false,"usgs":false,"family":"Reid","given":"Rachel","email":"","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":827949,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McGuire, Jenny","contributorId":269803,"corporation":false,"usgs":false,"family":"McGuire","given":"Jenny","email":"","affiliations":[{"id":56035,"text":"GA Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":827950,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Svenning, Jens-Christiane","contributorId":269804,"corporation":false,"usgs":false,"family":"Svenning","given":"Jens-Christiane","email":"","affiliations":[{"id":13419,"text":"Aarhus University, Denmark","active":true,"usgs":false}],"preferred":false,"id":827951,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wingard, G. Lynn 0000-0002-3833-5207 lwingard@usgs.gov","orcid":"https://orcid.org/0000-0002-3833-5207","contributorId":605,"corporation":false,"usgs":true,"family":"Wingard","given":"G.","email":"lwingard@usgs.gov","middleInitial":"Lynn","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":827952,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Moreno-Mateos, David","contributorId":269806,"corporation":false,"usgs":false,"family":"Moreno-Mateos","given":"David","email":"","affiliations":[{"id":16810,"text":"Harvard Univ.","active":true,"usgs":false}],"preferred":false,"id":827953,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70228703,"text":"70228703 - 2022 - The developing zebrafish kidney is impaired by Deepwater Horizon crude oil early-life stage exposure: A molecular to whole-organism perspective","interactions":[],"lastModifiedDate":"2022-02-17T16:17:44.793961","indexId":"70228703","displayToPublicDate":"2021-11-26T10:15:29","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"displayTitle":"The developing zebrafish kidney is impaired by Deepwater Horizon crude oil early-life stage exposure: A molecular to whole-organism perspective","title":"The developing zebrafish kidney is impaired by Deepwater Horizon crude oil early-life stage exposure: A molecular to whole-organism perspective","docAbstract":"

Crude oil is known to induce developmental defects in teleost fish exposed during early life stages (ELSs). While most studies in recent years have focused on cardiac endpoints, evidence from whole-animal transcriptomic analyses and studies with individual polycyclic aromatic hydrocarbons (PAHs) indicate that the developing kidney (i.e., pronephros) is also at risk. Considering the role of the pronephros in osmoregulation, and the common observance of edema in oil-exposed ELS fish, surprisingly little is known regarding the effects of oil exposure on pronephros development and function. Using zebrafish (Danio rerio) ELSs, we assessed the transcriptional and morphological responses to two dilutions of high-energy water accommodated fractions (HEWAF) of oil from the Deepwater Horizon oil spill using a combination of qPCR and whole-mount in situ hybridization (WM-ISH) of candidate genes involved in pronephros development and function, and immunohistochemistry (WM-IHC). To assess potential functional impacts on the pronephros, three 24 h osmotic challenges (2 hypo-osmotic, 1 near iso‐osmotic) were implemented at two developmental time points (48 and 96 h post fertilization; hpf) following exposure to HEWAF. Changes in transcript expression level and location specific to different regions of the pronephros were observed by qPCR and WM-ISH. Further, pronephros morphology was altered in crude oil exposed larvae, characterized by failed glomerulus and neck segment formation, and straightening of the pronephric tubules. The osmotic challenges at 96 hpf greatly exacerbated edema in both HEWAF-exposed groups regardless of osmolarity. By contrast, larvae at 48 hpf exhibited no edema prior to the osmotic challenge, but previous HEWAF exposure elicited a concentration-response increase in edema at hypo-osmotic conditions that appeared to have been largely alleviated under near iso‐osmotic conditions. In summary, ELS HEWAF exposure impaired proper pronephros development in zebrafish, which coupled with cardiotoxic effects, most likely reduced or inhibited pronephros fluid clearance capacity and increased edema formation.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2021.151988","usgsCitation":"Bonatesta, F., Emadi, C., Price, E.R., Wang, Y., Greer, J.B., Xu, E.G., Schlenk, D., Grosell, M., and Mager, E.M., 2022, The developing zebrafish kidney is impaired by Deepwater Horizon crude oil early-life stage exposure: A molecular to whole-organism perspective: Science of the Total Environment, v. 808, 151988, 15 p., https://doi.org/10.1016/j.scitotenv.2021.151988.","productDescription":"151988, 15 p.","ipdsId":"IP-134626","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":449509,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1016/j.scitotenv.2021.151988","text":"External Repository"},{"id":396107,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"808","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bonatesta, Fabrizio","contributorId":279576,"corporation":false,"usgs":false,"family":"Bonatesta","given":"Fabrizio","email":"","affiliations":[{"id":57294,"text":"Department of Biological Sciences and the Advanced Environmental Research Institute, University of North Texas, Denton, Texas, USA","active":true,"usgs":false}],"preferred":false,"id":835145,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Emadi, Cameron","contributorId":279577,"corporation":false,"usgs":false,"family":"Emadi","given":"Cameron","email":"","affiliations":[{"id":57294,"text":"Department of Biological Sciences and the Advanced Environmental Research Institute, University of North Texas, Denton, Texas, USA","active":true,"usgs":false}],"preferred":false,"id":835146,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Price, Edwin R.","contributorId":279578,"corporation":false,"usgs":false,"family":"Price","given":"Edwin","email":"","middleInitial":"R.","affiliations":[{"id":57294,"text":"Department of Biological Sciences and the Advanced Environmental Research Institute, University of North Texas, Denton, Texas, USA","active":true,"usgs":false}],"preferred":false,"id":835147,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wang, Yadong","contributorId":279579,"corporation":false,"usgs":false,"family":"Wang","given":"Yadong","email":"","affiliations":[{"id":57296,"text":"Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington, USA","active":true,"usgs":false}],"preferred":false,"id":835148,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Greer, Justin Blaine 0000-0001-6660-9976","orcid":"https://orcid.org/0000-0001-6660-9976","contributorId":265183,"corporation":false,"usgs":true,"family":"Greer","given":"Justin","email":"","middleInitial":"Blaine","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":835149,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Xu, Elvis Genbo","contributorId":279580,"corporation":false,"usgs":false,"family":"Xu","given":"Elvis","email":"","middleInitial":"Genbo","affiliations":[{"id":57298,"text":"Department of Biology, University of Southern Denmark, Odense, Denmark","active":true,"usgs":false}],"preferred":false,"id":835150,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schlenk, Daniel","contributorId":221106,"corporation":false,"usgs":false,"family":"Schlenk","given":"Daniel","email":"","affiliations":[{"id":12655,"text":"University of California, Riverside","active":true,"usgs":false}],"preferred":false,"id":835151,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Grosell, Martin","contributorId":279581,"corporation":false,"usgs":false,"family":"Grosell","given":"Martin","email":"","affiliations":[{"id":57299,"text":"Rosenstiel School of Marine and Atmospheric Science, University of Miami, Miami, Florida, USA","active":true,"usgs":false}],"preferred":false,"id":835152,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mager, Edward M.","contributorId":279582,"corporation":false,"usgs":false,"family":"Mager","given":"Edward","email":"","middleInitial":"M.","affiliations":[{"id":57294,"text":"Department of Biological Sciences and the Advanced Environmental Research Institute, University of North Texas, Denton, Texas, USA","active":true,"usgs":false}],"preferred":false,"id":835153,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70229223,"text":"70229223 - 2022 - Patterns of post-fire invasion of semiarid shrub-steppe reveals a diversity of invasion niches within an exotic annual grass community","interactions":[],"lastModifiedDate":"2022-03-03T16:58:26.697189","indexId":"70229223","displayToPublicDate":"2021-11-25T10:46:37","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Patterns of post-fire invasion of semiarid shrub-steppe reveals a diversity of invasion niches within an exotic annual grass community","docAbstract":"

Disturbances such as fire provide an opportunity for invasive plant species to exploit newly created niche space. Whether initial invaders facilitate, compete with, or do not affect later invaders is important to determine in communities affected by multiple invaders. This analysis focuses on the newer invaders Taeniatherum caput-medusae (medusahead) and Ventenata dubia (ventenata) in sagebrush-steppe communities previously invaded by Bromus tectorum (cheatgrass), during the first 5 years of recovery after wildfire. We combined probabilistic co-occurrence analysis and Getis-Ord spatial clustering analysis to assess relationships between different exotic annual grass species and native and introduced perennial bunchgrasses, then used Bayesian generalized linear models to determine if and how medusahead and ventenata differed in their environmental relationships and thus invasion niches. Medusahead presence was positively associated with both other exotic annual grasses, but ventenata presence was negatively associated with cheatgrass presence. Medusahead hotspots were more spatially similar to cheatgrass hotspots while ventenata hotspots were unique. Both invaders were negatively related to total perennial bunchgrass cover but disassociations between invaders and different perennial bunchgrasses were species-specific. Medusahead and ventenata occupied different niches; medusahead in low elevation, low precipitation areas and ventenata in higher elevation, higher precipitation areas. Despite seemingly similar ecology and growth requirements among these annual grasses and a tendency to be considered uniformly in both research and management, the species appeared to have different invasion niches.

","language":"English","publisher":"Springer Link","doi":"10.1007/s10530-021-02669-3","usgsCitation":"Applestein, C., and Germino, M., 2022, Patterns of post-fire invasion of semiarid shrub-steppe reveals a diversity of invasion niches within an exotic annual grass community: Biological Invasions, v. 24, p. 741-759, https://doi.org/10.1007/s10530-021-02669-3.","productDescription":"19 p.","startPage":"741","endPage":"759","ipdsId":"IP-131007","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":436038,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9TG16C5","text":"USGS data release","linkHelpText":"Presence and cover of exotic annual and perennial grass species during five years post-fire on the Soda Wildfire"},{"id":396709,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Oregon","otherGeospatial":"Owyhee Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.564453125,\n 42.00848901572399\n ],\n [\n -116.20239257812499,\n 42.00848901572399\n ],\n [\n -116.20239257812499,\n 44.12702800650004\n ],\n [\n -118.564453125,\n 44.12702800650004\n ],\n [\n -118.564453125,\n 42.00848901572399\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"24","noUsgsAuthors":false,"publicationDate":"2021-11-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Applestein, Cara 0000-0002-7923-8526","orcid":"https://orcid.org/0000-0002-7923-8526","contributorId":218003,"corporation":false,"usgs":true,"family":"Applestein","given":"Cara","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":836971,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Germino, Matthew J. 0000-0001-6326-7579","orcid":"https://orcid.org/0000-0001-6326-7579","contributorId":251901,"corporation":false,"usgs":true,"family":"Germino","given":"Matthew J.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":836972,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70230210,"text":"70230210 - 2022 - Loggerhead marine turtles (Caretta caretta) nesting at smaller sizes than expected in the Gulf of Mexico: Implications for turtle behavior, population dynamics, and conservation","interactions":[],"lastModifiedDate":"2023-06-09T13:55:46.784692","indexId":"70230210","displayToPublicDate":"2021-11-25T10:23:07","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5803,"text":"Conservation Science and Practice","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Loggerhead marine turtles (Caretta caretta) nesting at smaller sizes than expected in the Gulf of Mexico: Implications for turtle behavior, population dynamics, and conservation","title":"Loggerhead marine turtles (Caretta caretta) nesting at smaller sizes than expected in the Gulf of Mexico: Implications for turtle behavior, population dynamics, and conservation","docAbstract":"

Estimates of parameters that affect population dynamics, including the size at which individuals reproduce, are crucial for efforts aimed at understanding how imperiled species may recover from the numerous threats they face. In this study, we observed loggerhead marine turtles (Caretta caretta) nesting at three sites in the Gulf of Mexico at sizes assumed nonreproductive in this region (≤87 cm curved carapace length-notch [CCL-n]). These smaller individuals ranged from 74.0 to 86.9 cm CCL-n, and the proportion of smaller nesting loggerheads was 0.13 across three study sites: Gulf Shores, AL; Dry Tortugas National Park, Florida (FL); and Everglades National Park (ENP), FL. The greatest proportion of smaller nesters was observed at ENP at 0.24. Tracking data indicated that the smaller nesters migrated shorter distances and swam in shallower waters compared to the larger nesting loggerheads (>87 cm CCL-n) in our dataset. These results provide valuable information on two of the smallest subpopulations of NW Atlantic loggerheads and understudied ENP turtles. Our results have potential applications in the classification and interpretation of stranding limits and bycatch estimates, population modeling (e.g., stage durations and fecundity), and understanding threats and subpopulation recovery efforts for multiple subpopulations of this imperiled species.

","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/csp2.581","usgsCitation":"Benscoter, A., Smith, B., and Hart, K., 2022, Loggerhead marine turtles (Caretta caretta) nesting at smaller sizes than expected in the Gulf of Mexico: Implications for turtle behavior, population dynamics, and conservation: Conservation Science and Practice, v. 4, no. 1, e581, 14 p.; Data Release, https://doi.org/10.1111/csp2.581.","productDescription":"e581, 14 p.; Data Release","ipdsId":"IP-128726","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":449512,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/csp2.581","text":"Publisher Index Page"},{"id":398119,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":417872,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P96S4B8P"}],"country":"United States","state":"Alabama, Florida","city":"Gulf Shores","otherGeospatial":"Dry Tortugas National Park, Gulf of Mexico, Everglades National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.02108764648438,\n 30.181934730780572\n ],\n [\n -87.506103515625,\n 30.181934730780572\n ],\n [\n -87.506103515625,\n 30.349176094149833\n ],\n [\n -88.02108764648438,\n 30.349176094149833\n ],\n [\n -88.02108764648438,\n 30.181934730780572\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.4034423828125,\n 25.348990395713393\n ],\n [\n -80.947265625,\n 25.353954558526684\n ],\n [\n -81.3812255859375,\n 25.997549919572112\n ],\n [\n -81.8646240234375,\n 26.017297563851745\n ],\n [\n -81.419677734375,\n 25.502784548755354\n ],\n [\n -81.1505126953125,\n 25.075648445630527\n ],\n [\n -80.738525390625,\n 25.015928763367857\n ],\n [\n -80.3924560546875,\n 25.19002975536265\n ],\n [\n -80.3594970703125,\n 25.304303764403617\n ],\n [\n -80.3814697265625,\n 25.329131707091477\n ],\n [\n -80.4034423828125,\n 25.348990395713393\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.01544189453125,\n 24.540877160098404\n ],\n [\n -82.75314331054688,\n 24.540877160098404\n ],\n [\n -82.75314331054688,\n 24.729369599118222\n ],\n [\n -83.01544189453125,\n 24.729369599118222\n ],\n [\n -83.01544189453125,\n 24.540877160098404\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"4","issue":"1","noUsgsAuthors":false,"publicationDate":"2021-11-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Benscoter, Allison 0000-0003-4205-3808","orcid":"https://orcid.org/0000-0003-4205-3808","contributorId":216194,"corporation":false,"usgs":true,"family":"Benscoter","given":"Allison","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":839563,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Brian J. 0000-0002-0531-0492","orcid":"https://orcid.org/0000-0002-0531-0492","contributorId":139672,"corporation":false,"usgs":false,"family":"Smith","given":"Brian J.","affiliations":[{"id":12876,"text":"Cherokee Nation Technology Solutions","active":true,"usgs":false}],"preferred":false,"id":839564,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hart, Kristen 0000-0002-5257-7974","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":218324,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":839565,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70227187,"text":"70227187 - 2022 - Calcareous plankton biostratigraphic fidelity and species richness during the last 10 m.y. of the Cretaceous at Blake Plateau, subtropical North Atlantic","interactions":[],"lastModifiedDate":"2022-01-04T14:53:03.822031","indexId":"70227187","displayToPublicDate":"2021-11-25T08:48:06","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1344,"text":"Cretaceous Research","active":true,"publicationSubtype":{"id":10}},"title":"Calcareous plankton biostratigraphic fidelity and species richness during the last 10 m.y. of the Cretaceous at Blake Plateau, subtropical North Atlantic","docAbstract":"

Species distributions of well-preserved and diverse assemblages of planktonic foraminifera and calcareous nannofossils spanning the last 10 m.y. of the Cretaceous (middle Campanian through Maastrichtian) are analyzed from samples taken across a 1400 m depth transect at Blake Nose in the western subtropical North Atlantic (Ocean Drilling Program Sites 1049, 1050 and 1052). Age models constructed by integrating foraminiferal, calcareous nannofossil, and magnetic polarity datum events provide a reliable framework for temporal correlation of the sites. This framework enables comparisons of species richness and abundance among sites and evaluation of the reliability of first and last appearance datums for regional and global correlation. Among the standard primary zonal marker datums, six of nine planktonic foraminifer and six of seven calcareous nannofossil events are considered reliable for constraining the age-depth models. Secondary datum ages calculated for 17 planktonic foraminiferal events suggest correlation offsets among the three sites of <0.1 m.y. for four species (including Pseudoguembelina praehariaensis Tur and Huber n. sp.), 0.1–0.5 m.y. for six events, and 0.6–1.0 m.y. for eight species. Secondary calcareous nannofossil datum ages calculated for six species show less reliability, with offsets of <0.1 m.y. for one species, 0.7 m.y. for one species, and 1.0–1.5 m.y. for the remaining four species. The distinctly identifiable new species Trinitella suturis Tur and Huber has lowest occurrences that are diachronous by as much as 1.73 m.y. among the Blake Nose sites. Occurrence rarity is the most likely explanation for the age offsets of this and other diachronous species.

Planktonic foraminiferal assemblages show no significant differences in species composition and relative abundance among the three sites, suggesting the sites were all located below a single oligotrophic surface water mass. Species richness counts pooled in 200 kyr bins for the Blake Nose sites reveals high species origination rates from the late Campanian through early Maastrichtian and highest species richness (51–63 species) during the Maastrichtian. The only significant extinction pulse during the mid-Campanian through Maastrichtian occurs between 66.2 and 66.4 Ma with loss of five species representing ∼9% of the assemblage. These extinctions occur at the same time as a globally recognized warming event correlated with a pulse of eruptions at the Deccan Traps in India.

Calcareous nannofossil assemblages show no significant change in relative abundance among the three sites. Two significant extinction events are documented: one from 75.20 to 75.40 Ma with a loss of six species representing ∼6% of the assemblage and one from 66.2 to 66.4 Ma with a loss of nine species representing ∼9% of the assemblage. The former event is associated with a hiatus at the base of Zone CC24, and the latter corresponds to Deccan Trap warming.

Hiatuses are identified at all three Blake Nose sites near the base of the Maastrichtian (∼71.5 Ma; lowermost Pseudoguembelina palpebra/CC24 Zone) and only at the deeper Sites 1049 and 1050 in the mid-Maastrichtian (∼67.2 Ma; Pseudoguembelina hariaensis/CC26b Zone) and the mid-Campanian (∼75.9 Ma; base of Radotruncana calcarata/CC22 Zone). Slumping from across the shelf and slope could have caused the early Maastrichtian hiatus while changes in the pattern and strength of deep-water circulation may have been responsible for the mid-Maastrichtian and mid-Campanian hiatuses.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.cretres.2021.105095","usgsCitation":"Huber, B.T., Tur, N.A., Self-Trail, J., and MacLeod, K.G., 2022, Calcareous plankton biostratigraphic fidelity and species richness during the last 10 m.y. of the Cretaceous at Blake Plateau, subtropical North Atlantic: Cretaceous Research, v. 131, 105095, 42 p., https://doi.org/10.1016/j.cretres.2021.105095.","productDescription":"105095, 42 p.","ipdsId":"IP-132563","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":449513,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.cretres.2021.105095","text":"Publisher Index Page"},{"id":393850,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Blake Plateau, subtropical North Atlantic","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77,\n 29.5\n ],\n [\n -76,\n 29.5\n ],\n [\n -76,\n 30.5\n ],\n [\n -77,\n 30.5\n ],\n [\n -77,\n 29.5\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"131","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Huber, Brian T.","contributorId":270771,"corporation":false,"usgs":false,"family":"Huber","given":"Brian","email":"","middleInitial":"T.","affiliations":[{"id":36858,"text":"Smithsonian","active":true,"usgs":false}],"preferred":false,"id":830008,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tur, Nataliya A.","contributorId":270772,"corporation":false,"usgs":false,"family":"Tur","given":"Nataliya","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":830009,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":830010,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"MacLeod, Kenneth G.","contributorId":270773,"corporation":false,"usgs":false,"family":"MacLeod","given":"Kenneth","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":830011,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70227326,"text":"70227326 - 2022 - Factors Affecting Groundwater Quality Used for Domestic Supply in Marcellus Shale Region of North-Central and North-East Pennsylvania, USA","interactions":[],"lastModifiedDate":"2022-01-10T12:59:36.251299","indexId":"70227326","displayToPublicDate":"2021-11-24T06:56:57","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Factors Affecting Groundwater Quality Used for Domestic Supply in Marcellus Shale Region of North-Central and North-East Pennsylvania, USA","docAbstract":"

Factors affecting groundwater quality used for domestic supply within the Marcellus Shale footprint in north-central and north-east Pennsylvania are identified using a combination of spatial, statistical, and geochemical modeling. Untreated groundwater, sampled during 2011–2017 from 472 domestic wells within the study area, exhibited wide ranges in pH (4.5–9.3), total dissolved solids (TDS, 22–1960 mg/L), sodium (0.3–760 mg/L), chloride (0.3–1020 mg/L), bromide (<0.01–8.6 mg/L), and methane (<0.001–77 mg/L). The wells had depths ranging from 10 to 394 m; 69.5 percent were completed in sandstone bedrock, 19.3 percent in shale, 4.2 percent in siltstone, 4 percent in carbonate, and 3 percent in unconsolidated alluvial or glacial deposits. Groundwater quality in the Delaware River watershed, in the eastern part of the study area where Marcellus gas has not been developed, was similar to that in the Susquehanna, Allegheny, and Genesee River watersheds in the western part of the study area where natural gas production from Marcellus Shale has been ongoing since 2008. Most groundwaters were calcium/bicarbonate type with near-neutral pH; approximately 10 percent were sodium/bicarbonate and 1 percent were sodium/chloride types. Sodium-enriched waters, which were mostly from shale and siltstone aquifers, had the greatest frequency of elevated pH (>8.5) and elevated concentrations of TDS (>250 mg/L), bromide (>0.15 mg/L), methane (>7.0 mg/L), and lithium (>60 μg/L). Geochemical models indicate these characteristics could result from progressive mineral dissolution combined with cation exchange, plus mixing with locally important salinity sources, including as much as 0.7 percent Appalachian Basin brine and/or road-deicing salt. Multivariate correlation models suggest the observed variability in methane concentrations may be attributed to several environmental factors, such as geochemical evolution along groundwater flow paths, redox conditions, and/or mixing with saline groundwater or brine. Most samples having elevated methane were from shale aquifers, which were mainly in the Susquehanna River basin and had the greatest density of gas wells compared to other lithologies. Samples having elevated methane were also observed in the Delaware River watershed and other areas outside gas development. Isotopic compositions of methane for a subset of 39 samples (selected because of elevated methane) and relatively high ratios of methane to ethane in those samples indicated methane could be derived from microbial gas mixed with thermogenic gas that may have undergone degradation and/or fractionation during migration. The methods used in this study could be broadly applicable to understanding major factors affecting groundwater quality, particularly for explaining variations in ionic composition with pH and identifying sources of salinity and associated constituents (e.g. sodium, chloride, bromide, lithium, methane) that may have geogenic or anthropogenic origins.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2021.105149","usgsCitation":"Cravotta, C., Senior, L.A., and Conlon, M.D., 2022, Factors Affecting Groundwater Quality Used for Domestic Supply in Marcellus Shale Region of North-Central and North-East Pennsylvania, USA: Applied Geochemistry, v. 137, 105149, 19 p., https://doi.org/10.1016/j.apgeochem.2021.105149.","productDescription":"105149, 19 p.","ipdsId":"IP-129093","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":449515,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.apgeochem.2021.105149","text":"Publisher Index Page"},{"id":394090,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","otherGeospatial":"Marcellus Shale region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.640625,\n 42.06560675405716\n ],\n [\n -76.728515625,\n 40.91351257612758\n ],\n [\n -75.0146484375,\n 40.94671366508002\n ],\n [\n -74.8828125,\n 41.21172151054787\n ],\n [\n -74.8388671875,\n 41.44272637767212\n ],\n [\n -75.1904296875,\n 42.032974332441405\n ],\n [\n -76.640625,\n 42.06560675405716\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"137","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Cravotta, Charles A. III 0000-0003-3116-4684","orcid":"https://orcid.org/0000-0003-3116-4684","contributorId":207249,"corporation":false,"usgs":true,"family":"Cravotta","given":"Charles A.","suffix":"III","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":830475,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Senior, Lisa A. 0000-0003-2629-1996 lasenior@usgs.gov","orcid":"https://orcid.org/0000-0003-2629-1996","contributorId":2150,"corporation":false,"usgs":true,"family":"Senior","given":"Lisa","email":"lasenior@usgs.gov","middleInitial":"A.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":830476,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Conlon, Matthew D. 0000-0001-8266-9610 mconlon@usgs.gov","orcid":"https://orcid.org/0000-0001-8266-9610","contributorId":201291,"corporation":false,"usgs":true,"family":"Conlon","given":"Matthew","email":"mconlon@usgs.gov","middleInitial":"D.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":830477,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70256754,"text":"70256754 - 2022 - Seasonal variation in resource selection by subadult golden eagles in the Great Basin Desert","interactions":[],"lastModifiedDate":"2024-09-04T16:01:38.732503","indexId":"70256754","displayToPublicDate":"2021-11-23T10:57:28","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3766,"text":"Wildlife Biology","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal variation in resource selection by subadult golden eagles in the Great Basin Desert","docAbstract":"

Golden eagles Aquila chrysaetos are a long-lived and wide-ranging species believed to be stable or in slight decline across North America. Golden eagles have an extended subadult stage (4–5 years) that is critical to maintaining recruitment into the breeding population and population viability. Compared to adult golden eagles, the ecology of subadult golden eagles (hereafter, subadults) has received little attention. We investigated patterns of resource selection for subadults in the Great Basin Desert of the western United States during summer and winter, 2013–2019. We monitored 46 subadults with GPS transmitters and related locations (n = 99 037) with predictors hypothesized to influence seasonal patterns of space use with mixed-effects logistic regression. Subadults selected for ridges and upper slopes in summer and winter, but higher elevations in summer. Subadults showed weak selection for lower ridge density in summer, which was likely facilitated by selection for areas with greater thermal wind current potential. In contrast, subadults showed strong selection for higher ridge density in winter. Subadults selected areas further from roads in summer and closer to roads and electrical transmission lines in winter, which may be related to winter scavenging of road-killed ungulates. Resource selection functions suggested subadults selected for shrublands and woodlands in both seasons, but odds ratios revealed that during winter subadults avoided shrublands and increased selection of woodlands relative to summer. Subadults selected for areas with infrequent fires in both seasons; areas with frequent fires were avoided in summer but selected for in winter. Seasonal changes in resource selection suggested that subadults used woodlands more than expected, potentially reflecting spatial partitioning by subadults to lower-quality habitats to minimize competition with breeding adults during winter when energetic demands for thermoregulation were presumably higher and prey more limited.

","language":"English","publisher":"Nordic Society Oikos","doi":"10.1002/wlb3.01002","usgsCitation":"Hixson, K., Slater, S., Knight, R., and Lonsinger, R.C., 2022, Seasonal variation in resource selection by subadult golden eagles in the Great Basin Desert: Wildlife Biology, v. 2022, no. 1, e01002, 14 p., https://doi.org/10.1002/wlb3.01002.","productDescription":"e01002, 14 p.","ipdsId":"IP-128701","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":449516,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wlb3.01002","text":"Publisher Index Page"},{"id":433455,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"U.S. Army's Dugway Proving Ground","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -113.79823682094569,\n 40.44232739121148\n ],\n [\n -113.79823682094569,\n 39.897870571302406\n ],\n [\n -112.70671299878512,\n 39.897870571302406\n ],\n [\n -112.70671299878512,\n 40.44232739121148\n ],\n [\n -113.79823682094569,\n 40.44232739121148\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"2022","issue":"1","noUsgsAuthors":false,"publicationDate":"2021-11-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Hixson, K.M.","contributorId":341760,"corporation":false,"usgs":false,"family":"Hixson","given":"K.M.","email":"","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":908869,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Slater, S.J.","contributorId":341761,"corporation":false,"usgs":false,"family":"Slater","given":"S.J.","email":"","affiliations":[{"id":35596,"text":"HawkWatch International","active":true,"usgs":false}],"preferred":false,"id":908870,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Knight, R.N.","contributorId":341763,"corporation":false,"usgs":false,"family":"Knight","given":"R.N.","email":"","affiliations":[{"id":81783,"text":"U.S. Army Dugway Proving Ground","active":true,"usgs":false}],"preferred":false,"id":908871,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lonsinger, Robert Charles 0000-0002-1040-7299","orcid":"https://orcid.org/0000-0002-1040-7299","contributorId":340524,"corporation":false,"usgs":true,"family":"Lonsinger","given":"Robert","email":"","middleInitial":"Charles","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":908872,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70227284,"text":"70227284 - 2022 - Constraints on triple oxygen isotope kinetics","interactions":[],"lastModifiedDate":"2022-01-07T14:39:07.346576","indexId":"70227284","displayToPublicDate":"2021-11-23T08:38:34","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1213,"text":"Chemical Geology","active":true,"publicationSubtype":{"id":10}},"title":"Constraints on triple oxygen isotope kinetics","docAbstract":"

Isotopic disequilibrium is not as well constrained as equilibrium, hindering interpretation of isotopic variations. Kinetic isotope effects, a subset of disequilibrium, are common in nature and have been assumed to be distinct from equilibrium and mass independent isotope effects based on underdeveloped criteria. Using basic physical principles, we provide needed mechanistic constraints on mass-dependent kinetic isotope effects for the triple oxygen isotope system. We find some kinetic isotope effects yield large isotopic variations, exceeding equilibrium, which could be mistaken for mass independent relationships. Meanwhile, other kinetic isotope effects are found to have triple oxygen isotope relationships that could be mistaken for equilibrium isotope effects. Comparison against prior case studies of thermal decomposition of calcite (CaCO3) and brucite (Mg(OH)2) further tests our results. Although oxygen is the focus here, our approach applies to any system with more than two isotopes.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.chemgeo.2021.120646","usgsCitation":"Hayles, J.A., and Killingsworth, B.A., 2022, Constraints on triple oxygen isotope kinetics: Chemical Geology, v. 589, 120646, 9 p., https://doi.org/10.1016/j.chemgeo.2021.120646.","productDescription":"120646, 9 p.","ipdsId":"IP-123158","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":449518,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.chemgeo.2021.120646","text":"Publisher Index Page"},{"id":394017,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"589","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hayles, Justin A.","contributorId":270977,"corporation":false,"usgs":false,"family":"Hayles","given":"Justin","email":"","middleInitial":"A.","affiliations":[{"id":56237,"text":"Jacobs-JETS, Astromaterials Research and Exploration Science, Johnson Space Center National Aeronautics and Space Administration","active":true,"usgs":false}],"preferred":false,"id":830270,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Killingsworth, Bryan Alan 0000-0001-6067-8604","orcid":"https://orcid.org/0000-0001-6067-8604","contributorId":270978,"corporation":false,"usgs":true,"family":"Killingsworth","given":"Bryan","email":"","middleInitial":"Alan","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":830271,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70226530,"text":"70226530 - 2022 - Bedrock gorge incision via anthropogenic meander cutoff","interactions":[],"lastModifiedDate":"2022-03-15T16:14:27.418718","indexId":"70226530","displayToPublicDate":"2021-11-22T08:12:18","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Bedrock gorge incision via anthropogenic meander cutoff","docAbstract":"

Bedrock river-gorge incision represents a fundamental landscape-shaping process, but a dearth of observational data at >10 yr timescales impedes understanding of gorge formation. I quantify 102 yr rates and processes of gorge incision using historical records, field observations, and topographic and image analysis of a human-caused bedrock meander cutoff along the North Fork Fortymile River in Alaska (USA). Miners cut off the meander in 1900 CE, abruptly lowering local base level by 6 m and forcing narrowing and steepening of the channel across a knickpoint that rapidly incised upstream. Tectonic quiescence, consistent rock erosivity, and low millennial erosion rates provide ideal boundary conditions for this 102 yr gorge-formation experiment. Initial fast knickpoint propagation (23 m/yr; 1900–1903 CE) slowed (4 m/yr; 1903–1981 CE) to diffusion (1981–2019 CE) as knickpoint slope decreased, yielding an ~350-m-long, 6-m-deep gorge within the pre–1900 CE channel. Today, diffusion dominates incision of a 500-m-long knickzone upstream of the gorge, where sediment transport likely limits ongoing adjustments to the anthropogenic cutoff. Results elucidate channel width, slope, discharge, and sediment dynamics consistent with a gradual transition from detachment- to transport-limited incision in fluvial adjustment to local base-level lowering.

","language":"English","publisher":"Geological Society of America","doi":"10.1130/G49479.1","usgsCitation":"Bender, A., 2022, Bedrock gorge incision via anthropogenic meander cutoff: Geology, v. 50, no. 3, p. 321-325, https://doi.org/10.1130/G49479.1.","productDescription":"5 p.","startPage":"321","endPage":"325","ipdsId":"IP-131161","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":449522,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1130/geol.s.16942771","text":"External Repository"},{"id":436039,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P94TE5C8","text":"USGS data release","linkHelpText":"Field Data Collected 2018 to Document Human-induced Gorge Incision at The Kink (Fortymile River, Alaska)"},{"id":392042,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"North Fork Fortymile River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -142.05,\n 64.375\n ],\n [\n -142.02,\n 64.375\n ],\n [\n -142.02,\n 64.39\n ],\n [\n -142.05,\n 64.39\n ],\n [\n -142.05,\n 64.375\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"50","issue":"3","noUsgsAuthors":false,"publicationDate":"2021-11-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Bender, Adrian 0000-0001-7469-1957","orcid":"https://orcid.org/0000-0001-7469-1957","contributorId":219952,"corporation":false,"usgs":true,"family":"Bender","given":"Adrian","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":827205,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70236746,"text":"70236746 - 2022 - A graphical causal model for resolving species identity effects and biodiversity–ecosystem function correlations: Reply","interactions":[],"lastModifiedDate":"2022-09-19T11:54:02.485184","indexId":"70236746","displayToPublicDate":"2021-11-20T06:52:09","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"A graphical causal model for resolving species identity effects and biodiversity–ecosystem function correlations: Reply","docAbstract":"

No abstract available.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecy.3593","usgsCitation":"Schoolmaster, D., Zirbel, C.R., and Cronin, J.P., 2022, A graphical causal model for resolving species identity effects and biodiversity–ecosystem function correlations: Reply: Ecology, v. 103, no. 2, e03593, 17 p., https://doi.org/10.1002/ecy.3593.","productDescription":"e03593, 17 p.","ipdsId":"IP-129779","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":406942,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"103","issue":"2","noUsgsAuthors":false,"publicationDate":"2021-12-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Schoolmaster, Donald 0000-0003-0910-4458","orcid":"https://orcid.org/0000-0003-0910-4458","contributorId":202356,"corporation":false,"usgs":true,"family":"Schoolmaster","given":"Donald","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":852077,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zirbel, Chad R 0000-0002-9289-1722","orcid":"https://orcid.org/0000-0002-9289-1722","contributorId":224302,"corporation":false,"usgs":false,"family":"Zirbel","given":"Chad","email":"","middleInitial":"R","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":852078,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cronin, James P. 0000-0001-6791-5828 jcronin@usgs.gov","orcid":"https://orcid.org/0000-0001-6791-5828","contributorId":5834,"corporation":false,"usgs":true,"family":"Cronin","given":"James","email":"jcronin@usgs.gov","middleInitial":"P.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":852079,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70226953,"text":"70226953 - 2022 - Correspondence analysis for mineral commodity research: An example workflow for mineralized calderas, southwest United States","interactions":[],"lastModifiedDate":"2022-03-15T16:40:05.579972","indexId":"70226953","displayToPublicDate":"2021-11-19T07:08:55","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2832,"text":"Natural Resources Research","onlineIssn":"1573-8981","printIssn":"1520-7439","active":true,"publicationSubtype":{"id":10}},"title":"Correspondence analysis for mineral commodity research: An example workflow for mineralized calderas, southwest United States","docAbstract":"

Historical mine and mineral deposit datasets are routinely used to inform quantitative mineral assessment models, but they also can contain a wealth of supplementary qualitative information that is generally underutilized. We present a workflow that uses correspondence analysis, an exploratory tool commonly applied to multivariate abundance data, to better utilize qualitative data in these historical datasets. The workflow involves extraction of qualitative information on ore mineralogy from a mineral deposit database, attaches those data to a target geological feature, and analyzes the underlying data structure with correspondence analysis and hierarchical clustering. The output of correspondence analysis is inversely weighted to the relative frequency of ore minerals, and therefore rare mineral species (i.e., those with unusually low frequencies) can disproportionately contribute to the total variance of the dataset. We present a novel technique for aggregating frequencies of rare mineral species that minimizes this effect. We apply this workflow to evaluate how ore mineral assemblages in former and active mines vary in spatial relation to silicic calderas in the southwestern United States. The most common ore mineral associations observed spatially and genetically associated to calderas include those related to polymetallic, base metal-rich systems and epithermal Au–Ag systems. Three other groups of mineralized calderas were identified, including: (1) Hg–Sb mineralized calderas in the northern Great Basin and western Nevada volcanic field; (2) calderas associated with elevated abundances of Mn oxides/hydroxides, fluorite, and Be-minerals, mostly in eastern Utah and New Mexico; and (3) calderas with numerous U ± F deposits, which are located in central Colorado, the eastern Great Basin and in northern Nevada. The latter three groups are associated with economically significant critical mineral resources, including the Li resources of the McDermitt complex and Be associated with the Spor Mountain on the margin of the Thomas caldera complex. We conclude that correspondence analysis is a promising technique that can enhance data exploration of the qualitative information held within mineral deposit datasets. Consequently, it could have numerous applications for mineral potential mapping, resource assessment projects, and characterization of mineral systems.


","language":"English","publisher":"Springer","doi":"10.1007/s11053-021-09963-w","usgsCitation":"Rosera, J.M., and Coleman, D.S., 2022, Correspondence analysis for mineral commodity research: An example workflow for mineralized calderas, southwest United States: Natural Resources Research, v. 31, p. 9-36, https://doi.org/10.1007/s11053-021-09963-w.","productDescription":"28 p.","startPage":"9","endPage":"36","ipdsId":"IP-130118","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":393297,"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 \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.541015625,\n 31.12819929911196\n ],\n [\n -102.48046875,\n 31.12819929911196\n ],\n [\n -102.48046875,\n 42.16340342422401\n ],\n [\n -124.541015625,\n 42.16340342422401\n ],\n [\n -124.541015625,\n 31.12819929911196\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"31","noUsgsAuthors":false,"publicationDate":"2021-11-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Rosera, Joshua Mark 0000-0003-3807-5000","orcid":"https://orcid.org/0000-0003-3807-5000","contributorId":270284,"corporation":false,"usgs":true,"family":"Rosera","given":"Joshua","email":"","middleInitial":"Mark","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":828923,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coleman, Drew S","contributorId":192880,"corporation":false,"usgs":false,"family":"Coleman","given":"Drew","email":"","middleInitial":"S","affiliations":[],"preferred":false,"id":828924,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70226722,"text":"70226722 - 2022 - Identifying factors that affect mountain lake sensitivity to atmospheric nitrogen deposition across multiple scales","interactions":[],"lastModifiedDate":"2021-12-07T12:54:56.960495","indexId":"70226722","displayToPublicDate":"2021-11-19T06:46:45","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3716,"text":"Water Research","onlineIssn":"1879-2448","printIssn":"0043-1354","active":true,"publicationSubtype":{"id":10}},"title":"Identifying factors that affect mountain lake sensitivity to atmospheric nitrogen deposition across multiple scales","docAbstract":"

Increased nitrogen (N) deposition rates over the past century have affected both North American and European mountain lake ecosystems. Ecological sensitivity of mountain lakes to N deposition varies, however, because chemical and biological responses are modulated by local watershed and lake properties. We evaluated predictors of mountain lake sensitivity to atmospheric N deposition across North American and European mountain ranges and included as response variables dissolved inorganic N (DIN = N\"singleNH4+ + N\"singleNO3–) concentrations and phytoplankton biomass. Predictors of these responses were evaluated at three different spatial scales (hemispheric, regional, subregional) using regression tree, random forest, and generalized additive model (GAM) analysis. Analyses agreed that Northern Hemisphere mountain lake DIN was related to N deposition rates and smaller scale spatial variability (e.g., regional variability between North American and European lakes, and subregional variability between mountain ranges). Analyses suggested that DIN, N deposition, and subregional variability were important for Northern Hemisphere mountain lake phytoplankton biomass. Together, these findings highlight the need for finer-scale, subregional analyses (by mountain range) of lake sensitivity to N deposition. Subregional analyses revealed differences in predictor variables of lake sensitivity. In addition to N deposition rates, lake and watershed features such as land cover, bedrock geology, maximum lake depth (Zmax), and elevation were common modulators of lake DIN. Subregional phytoplankton biomass was consistently positively related with total phosphorus (TP) in Europe, while North American locations showed variable relationships with N or P. This study reveals scale-dependent watershed and lake characteristics modulate mountain lake ecological responses to atmospheric N deposition and provides important context to inform empirically based management strategies.


","language":"English","publisher":"Elsevier","doi":"10.1016/j.watres.2021.117883","usgsCitation":"Burpee, B., Saros, J., Nanus, L., Baron, J., Brahney, J., Christianson, K., Gantz, T., Heard, A., Hundey, B., Koinig, K., Kopacek, J., Moser, K., Nydick, K., Oleksy, I., Sadro, S., Sommaruga, R., Vinebrooke, R., and Williams, J., 2022, Identifying factors that affect mountain lake sensitivity to atmospheric nitrogen deposition across multiple scales: Water Research, v. 209, 117883, 13 p., https://doi.org/10.1016/j.watres.2021.117883.","productDescription":"117883, 13 p.","ipdsId":"IP-129777","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":392565,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"209","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Burpee, Benjamin","contributorId":269807,"corporation":false,"usgs":false,"family":"Burpee","given":"Benjamin","email":"","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":827955,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Saros, Jasmine","contributorId":269808,"corporation":false,"usgs":false,"family":"Saros","given":"Jasmine","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":827956,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nanus, Leora","contributorId":269809,"corporation":false,"usgs":false,"family":"Nanus","given":"Leora","affiliations":[{"id":6690,"text":"San Francisco State University","active":true,"usgs":false}],"preferred":false,"id":827957,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baron, Jill S. 0000-0002-5902-6251","orcid":"https://orcid.org/0000-0002-5902-6251","contributorId":215101,"corporation":false,"usgs":true,"family":"Baron","given":"Jill S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":827958,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brahney, Janice","contributorId":269810,"corporation":false,"usgs":false,"family":"Brahney","given":"Janice","email":"","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":827959,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Christianson, Kyle","contributorId":269811,"corporation":false,"usgs":false,"family":"Christianson","given":"Kyle","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":827960,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gantz, Taylor","contributorId":269812,"corporation":false,"usgs":false,"family":"Gantz","given":"Taylor","email":"","affiliations":[{"id":37550,"text":"Yale University","active":true,"usgs":false}],"preferred":false,"id":827961,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Heard, Andi","contributorId":269813,"corporation":false,"usgs":false,"family":"Heard","given":"Andi","email":"","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":827962,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hundey, Beth","contributorId":269814,"corporation":false,"usgs":false,"family":"Hundey","given":"Beth","email":"","affiliations":[{"id":13255,"text":"University of Western Ontario","active":true,"usgs":false}],"preferred":false,"id":827963,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Koinig, Karin","contributorId":269815,"corporation":false,"usgs":false,"family":"Koinig","given":"Karin","email":"","affiliations":[{"id":17993,"text":"University of Innsbruck","active":true,"usgs":false}],"preferred":false,"id":827964,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Kopacek, Jiri","contributorId":269817,"corporation":false,"usgs":false,"family":"Kopacek","given":"Jiri","email":"","affiliations":[{"id":56037,"text":"České Budějovice, Czech Republic","active":true,"usgs":false}],"preferred":false,"id":827965,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Moser, Katrina","contributorId":269819,"corporation":false,"usgs":false,"family":"Moser","given":"Katrina","affiliations":[{"id":13255,"text":"University of Western Ontario","active":true,"usgs":false}],"preferred":false,"id":827966,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Nydick, Koren","contributorId":269821,"corporation":false,"usgs":false,"family":"Nydick","given":"Koren","email":"","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":827967,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Oleksy, Isabella A.","contributorId":269822,"corporation":false,"usgs":false,"family":"Oleksy","given":"Isabella A.","affiliations":[{"id":33412,"text":"Cary Institute for Ecosystem Studies","active":true,"usgs":false}],"preferred":false,"id":827968,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Sadro, Steven","contributorId":269824,"corporation":false,"usgs":false,"family":"Sadro","given":"Steven","affiliations":[{"id":16975,"text":"University of California Davis","active":true,"usgs":false}],"preferred":false,"id":827969,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Sommaruga, Ruben","contributorId":269827,"corporation":false,"usgs":false,"family":"Sommaruga","given":"Ruben","email":"","affiliations":[{"id":17993,"text":"University of Innsbruck","active":true,"usgs":false}],"preferred":false,"id":827970,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Vinebrooke, Rolf","contributorId":269829,"corporation":false,"usgs":false,"family":"Vinebrooke","given":"Rolf","email":"","affiliations":[{"id":36696,"text":"University of Alberta","active":true,"usgs":false}],"preferred":false,"id":827971,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Williams, Jason","contributorId":269831,"corporation":false,"usgs":false,"family":"Williams","given":"Jason","affiliations":[{"id":6912,"text":"Idaho Department of Environmental Quality","active":true,"usgs":false}],"preferred":false,"id":827972,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}} ,{"id":70226494,"text":"70226494 - 2022 - Downhill from Austin and Ely to Las Vegas: U-Pb detrital zircon suites from the Eocene–Oligocene Titus Canyon Formation and associated strata, Death Valley, California","interactions":[],"lastModifiedDate":"2021-11-22T12:31:58.451448","indexId":"70226494","displayToPublicDate":"2021-11-19T06:29:17","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1727,"text":"GSA Special Papers","active":true,"publicationSubtype":{"id":10}},"title":"Downhill from Austin and Ely to Las Vegas: U-Pb detrital zircon suites from the Eocene–Oligocene Titus Canyon Formation and associated strata, Death Valley, California","docAbstract":"

In a reconnaissance investigation aimed at interrogating the changing topography and paleogeography of the western United States prior to Basin and Range faulting, a preliminary study made use of U-Pb ages of detrital zircon suites from 16 samples from the Eocene–Oligocene Titus Canyon Formation, its overlying units, and correlatives near Death Valley. The Titus Canyon Formation unconformably overlies Neoproterozoic to Devonian strata in the Funeral and Grapevine Mountains of California and Nevada. Samples were collected from (1) the type area in Titus Canyon, (2) the headwaters of Monarch Canyon, and (3) unnamed Cenozoic strata exposed in a klippe of the Boundary Canyon fault in the central Funeral Mountains. Red beds and conglomerates at the base of the Titus Canyon Formation at locations 1 and 2, which contain previously reported 38–37 Ma fossils, yielded mostly Sierran batholith–age detrital zircons (defined by Triassic, Jurassic, and Cretaceous peaks). Overlying channelized fluvial sandstones, conglomerates, and minor lacustrine shale, marl, and limestone record an abrupt change in source region around 38–36 Ma or slightly later, from more local, Sierran arc–derived sediment to extraregional sources to the north. Clasts of red radiolarian-bearing chert, dark radiolarian chert, and quartzite indicate sources in the region of the Golconda and Roberts Mountains allochthons of northern Nevada. Sandstones intercalated with conglomerate contain increasing proportions of Cenozoic zircon sourced from south-migrating, caldera-forming eruptions at the latitude of Austin and Ely in Nevada with maximum depositional ages (MDAs) ranging from 36 to 24 Ma at the top of the Titus Canyon Formation. Carbonate clasts and ash-rich horizons become more prevalent in the overlying conglomeratic Panuga Formation (which contains a previously dated 15.7 Ma ash-flow tuff). The base of the higher, ash-dominated Wahguyhe Formation yielded a MDA of 14.4 Ma. The central Funeral Mountains section exposes a different sequence of units that, based on new data, are correlative to the Titus Canyon, Panuga, and Wahguyhe Formations at locations 1 and 2. An ash-flow tuff above its (unexposed) base provided a MDA of 34 Ma, and the youngest sample yielded a MDA of 12.7 Ma. The striking differences between age-correlative sections, together with map-based evidence for channelization, indicate that the Titus Canyon Formation and overlying units likely represent fluvial channel, floodplain, and lacustrine deposits as sediments mostly bypassed the region, moving south toward the Paleogene shoreline in the Mojave Desert. The profound changes in source regions and sedimentary facies documented in the Titus Canyon Formation took place during ignimbrite flareup magmatism and a proposed eastward shift of the continental divide from the axis of the Cretaceous arc to a new divide in central Nevada in response to thermal uplift and addition of magma to the crust. This uplift initiated south-flowing fluvial systems that supplied sediments to the Titus Canyon Formation and higher units.

","language":"English","publisher":"Geological Society of America","doi":"10.1130/2021.2555(14)","usgsCitation":"Miller, E.L., Raftrey, M., and Lundstern, J., 2022, Downhill from Austin and Ely to Las Vegas: U-Pb detrital zircon suites from the Eocene–Oligocene Titus Canyon Formation and associated strata, Death Valley, California: GSA Special Papers, v. 555, no. 14, 20 p., https://doi.org/10.1130/2021.2555(14).","productDescription":"20 p.","ipdsId":"IP-120514","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":449529,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1130/spe.s.16850284","text":"External Repository"},{"id":391968,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California, Nevada, Utah","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.4091796875,\n 31.052933985705163\n ],\n [\n -108.544921875,\n 31.052933985705163\n ],\n [\n -108.544921875,\n 42.4234565179383\n ],\n [\n -124.4091796875,\n 42.4234565179383\n ],\n [\n -124.4091796875,\n 31.052933985705163\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"555","issue":"14","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Miller, Elizabeth L. 0000-0002-6190-4826","orcid":"https://orcid.org/0000-0002-6190-4826","contributorId":269348,"corporation":false,"usgs":false,"family":"Miller","given":"Elizabeth","email":"","middleInitial":"L.","affiliations":[{"id":55934,"text":"Stanford University Department of Geological Sciences","active":true,"usgs":false}],"preferred":false,"id":827104,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Raftrey, Mark","contributorId":269420,"corporation":false,"usgs":false,"family":"Raftrey","given":"Mark","email":"","affiliations":[{"id":55934,"text":"Stanford University Department of Geological Sciences","active":true,"usgs":false}],"preferred":false,"id":827105,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lundstern, Jens-Erik 0000-0003-0000-8013","orcid":"https://orcid.org/0000-0003-0000-8013","contributorId":264189,"corporation":false,"usgs":true,"family":"Lundstern","given":"Jens-Erik","email":"","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":827106,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70226560,"text":"70226560 - 2022 - Predicting coastal impacts by wave farms: A comparison of wave-averaged and wave-resolving models","interactions":[],"lastModifiedDate":"2021-11-29T11:59:05.179476","indexId":"70226560","displayToPublicDate":"2021-11-19T05:56:11","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9933,"text":"Renewable Energy","active":true,"publicationSubtype":{"id":10}},"title":"Predicting coastal impacts by wave farms: A comparison of wave-averaged and wave-resolving models","docAbstract":"

Wave energy converters (WECs) will have to be arranged into arrays of many devices to extract commercially viable amounts of energy. To understand the potential coastal impacts of WEC arrays, most research to date has relied on wave-averaged models given their computational efficiency. However, it is unknown how accurate wave-averaged model predictions are given a lack of validation data and their inherent simplifications of various hydrodynamic processes (e.g., diffraction). This paper compares the predictions of coastal wave farm impacts from a coupled wave-averaged and flow model (Delft3D-SNL-SWAN), to a wave-resolving wave-flow model (SWASH) that intrinsically accounts for more of the relevant physics. Model predictions were compared using an idealized coastal bathymetry over a range of wave conditions and wave farm geometries. Both models predicted the largest impacts (changes to the nearshore hydrodynamics) for large and dense wave farms located close to the shore (1 km) and the smallest impacts for the small and widely spaced farm at a greater offshore distance (3 km). However, the wave-resolving model generally predicted somewhat larger impacts (i.e., changes to the nearshore wave heights, mean velocities and mean water levels). We also found that coupling the wave-averaged model to a flow model resulted in more realistic downstream predictions than the stand-alone wave-averaged model.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.renene.2021.11.048","usgsCitation":"David, D.R., Rijnsdorp, D.P., Hansen, J., Lowe, R.J., and Buckley, M.L., 2022, Predicting coastal impacts by wave farms: A comparison of wave-averaged and wave-resolving models: Renewable Energy, v. 183, p. 764-780, https://doi.org/10.1016/j.renene.2021.11.048.","productDescription":"17 p.","startPage":"764","endPage":"780","ipdsId":"IP-127957","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":392172,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"183","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"David, Daniel R.","contributorId":269522,"corporation":false,"usgs":false,"family":"David","given":"Daniel","email":"","middleInitial":"R.","affiliations":[{"id":24588,"text":"The University of Western Australia","active":true,"usgs":false}],"preferred":false,"id":827356,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rijnsdorp, Dirk P.","contributorId":261463,"corporation":false,"usgs":false,"family":"Rijnsdorp","given":"Dirk","email":"","middleInitial":"P.","affiliations":[{"id":17614,"text":"Delft University of Technology","active":true,"usgs":false}],"preferred":false,"id":827357,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hansen, Jeff E.","contributorId":146437,"corporation":false,"usgs":false,"family":"Hansen","given":"Jeff E.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":827358,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lowe, Ryan J.","contributorId":152265,"corporation":false,"usgs":false,"family":"Lowe","given":"Ryan","email":"","middleInitial":"J.","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":827359,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Buckley, Mark L. 0000-0002-1909-4831","orcid":"https://orcid.org/0000-0002-1909-4831","contributorId":203481,"corporation":false,"usgs":true,"family":"Buckley","given":"Mark","email":"","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":827360,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70272988,"text":"70272988 - 2022 - Tallgrass prairie wildlife exposure to spray drift from commonly used soybean insecticides in Midwestern USA","interactions":[],"lastModifiedDate":"2025-12-15T14:53:37.799016","indexId":"70272988","displayToPublicDate":"2021-11-19T00:00:00","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Tallgrass prairie wildlife exposure to spray drift from commonly used soybean insecticides in Midwestern USA","docAbstract":"

Insecticides are widely used in the Midwestern USA to combat soybean aphids (Aphis glycines), a globally important crop pest. Broad-spectrum foliar insecticides such as chlorpyrifos, lambda-cyhalothrin, and bifenthrin (hereafter, “target insecticides”) are toxic to wildlife in laboratory settings; however, little information exists regarding drift and deposition of these insecticides in fragmented tallgrass prairie grasslands such as those in Minnesota, USA. To address this information gap, target insecticide spray drift and deposition were measured on passive samplers and arthropods in grasslands adjacent to crop fields in Minnesota. Samples were collected at focal soybean field sites immediately following target insecticide application and at reference corn field sites without target insecticide application. Target insecticides were detected 400 m into grasslands at both focal and reference sites. Residues of chlorpyrifos, an insecticide especially toxic to pollinators and birds, were measured above the contact lethal dose (LD50) for honey bees (Apis mellifera) up to 25 m from field edges in adjacent grasslands. Chlorpyrifos residues on arthropods were below the acute oral LD50 for several common farmland bird species but were above the level shown to impair migratory orientation in white-crowed sparrows (Zonotrichia leucophrys). Deposition of target insecticides on passive samplers was inversely associated with distance from field edge and percent canopy cover of grassland vegetation, and positively associated with samplers placed at mid-canopy compared to ground level. Target insecticide deposition on arthropods had an inverse relationship with vertical vegetation density and was positively associated with maximum height of vegetation. Tallgrass prairie with cover ≥25 m from row crop edges may provide wildlife habitat with lower exposure to foliar application insecticides. Prairie management regimes that increase percent canopy cover and density of vegetation may also reduce exposure of wildlife to these insecticides.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2021.151745","usgsCitation":"Goebel, K.M., Davros, N.M., Andersen, D.E., and Rice, P.J., 2022, Tallgrass prairie wildlife exposure to spray drift from commonly used soybean insecticides in Midwestern USA: Science of the Total Environment, v. 818, 151745, 12 p., https://doi.org/10.1016/j.scitotenv.2021.151745.","productDescription":"151745, 12 p.","ipdsId":"IP-129265","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":497478,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","otherGeospatial":"Prairie Parkland (Temperate) Province","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -97.3646803842525,\n 49.094067016616435\n ],\n [\n -96.82139013978414,\n 46.31165862298252\n ],\n [\n -96.26711998945748,\n 43.48886448053719\n ],\n [\n -92.86511753944964,\n 43.45889953292084\n ],\n [\n -94.4261745166538,\n 45.11541774669415\n ],\n [\n -95.1853374365835,\n 46.621226406366105\n ],\n [\n -95.4319722176811,\n 48.10164365982148\n ],\n [\n -95.07975427749903,\n 49.01618106723677\n ],\n [\n -97.3646803842525,\n 49.094067016616435\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"818","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Goebel, Katelin M.","contributorId":363800,"corporation":false,"usgs":false,"family":"Goebel","given":"Katelin","middleInitial":"M.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":952045,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Davros, Nicole M.","contributorId":363801,"corporation":false,"usgs":false,"family":"Davros","given":"Nicole","middleInitial":"M.","affiliations":[{"id":34923,"text":"Minnesota DNR","active":true,"usgs":false}],"preferred":false,"id":952046,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Andersen, David E. 0000-0001-9535-3404 dea@usgs.gov","orcid":"https://orcid.org/0000-0001-9535-3404","contributorId":199408,"corporation":false,"usgs":true,"family":"Andersen","given":"David","email":"dea@usgs.gov","middleInitial":"E.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":952044,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rice, Pamela J.","contributorId":363803,"corporation":false,"usgs":false,"family":"Rice","given":"Pamela","middleInitial":"J.","affiliations":[{"id":36589,"text":"USDA","active":true,"usgs":false}],"preferred":false,"id":952047,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70229753,"text":"70229753 - 2022 - Combining fixed-location count data and movement data to estimate abundance of a lake sturgeon spawning run","interactions":[],"lastModifiedDate":"2022-06-01T15:13:31.917051","indexId":"70229753","displayToPublicDate":"2021-11-18T10:02:32","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Combining fixed-location count data and movement data to estimate abundance of a lake sturgeon spawning run","docAbstract":"

Estimating abundance of migrating fishes is challenging. While sonars can be deployed continuously, improper assumptions about unidirectional migration and complete spatial coverage can lead to inaccurate estimates. To address these challenges, we present a framework for combining fixed-location count data from a dual-frequency identification sonar (DIDSON) with movement data from acoustic telemetry to estimate spawning run abundance of lake sturgeon (Acipenser fulvescens). Acoustic telemetry data were used to estimate the probability of observing a lake sturgeon on the DIDSON and to determine the probability that a lake sturgeon passing the DIDSON site had passed the site previously during the season. Combining probabilities with DIDSON counts, using a Bayesian integrated model, we estimated the following abundances: 99 (42–215 credible interval, CI) in 2017, 131 (82–248 CI) in 2018, and 92 (47–184 CI) in 2019. Adding movement data generated better inferences on count data by incorporating fish behavior (e.g., multiple migrations in a single season) and its uncertainty into abundance estimates. This framework can be applied to count and movement data to estimate abundance of spawning runs of other migratory fishes in riverine systems.

","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2021-0140","usgsCitation":"Izzo, L., Zydlewski, G.B., and Parrish, D.L., 2022, Combining fixed-location count data and movement data to estimate abundance of a lake sturgeon spawning run: Canadian Journal of Fisheries and Aquatic Sciences, v. 79, no. 6, p. 925-935, https://doi.org/10.1139/cjfas-2021-0140.","productDescription":"11 p.","startPage":"925","endPage":"935","ipdsId":"IP-127748","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":449533,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://repository.library.noaa.gov/view/noaa/51632","text":"External Repository"},{"id":397240,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Vermont","otherGeospatial":"Winooski River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.28910827636717,\n 44.3768766587829\n ],\n [\n -72.93342590332031,\n 44.3768766587829\n ],\n [\n -72.93342590332031,\n 44.54448397425684\n ],\n [\n -73.28910827636717,\n 44.54448397425684\n ],\n [\n -73.28910827636717,\n 44.3768766587829\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"79","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Izzo, Lisa K.","contributorId":288673,"corporation":false,"usgs":false,"family":"Izzo","given":"Lisa K.","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":838211,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zydlewski, Gayle Barbin","contributorId":288674,"corporation":false,"usgs":false,"family":"Zydlewski","given":"Gayle","email":"","middleInitial":"Barbin","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":838212,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Parrish, Donna L. 0000-0001-9693-6329 dparrish@usgs.gov","orcid":"https://orcid.org/0000-0001-9693-6329","contributorId":138661,"corporation":false,"usgs":true,"family":"Parrish","given":"Donna","email":"dparrish@usgs.gov","middleInitial":"L.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":838210,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70254812,"text":"70254812 - 2022 - Native fish need a natural flow regime","interactions":[],"lastModifiedDate":"2024-06-10T14:30:27.297515","indexId":"70254812","displayToPublicDate":"2021-11-18T09:24:16","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5686,"text":"Fisheries Magazine","active":true,"publicationSubtype":{"id":10}},"title":"Native fish need a natural flow regime","docAbstract":"

Water development has threatened the ecological integrity of riverine ecosystems. Increasing water demand, persistent drought, and climate change exacerbate the effects of habitat degradation and loss in altered systems such as the Colorado River basin. Today, biologists are challenged to identify management actions that benefit native fishes while not hindering water development or management. Herein, we discuss the importance of the natural flow regime for functioning riverine ecosystems and provide examples from four tributaries to the Green River, a major headwater branch of the Colorado River. These tributaries represent a gradient of impacts ranging from water abstraction to the point of complete seasonal desiccation to a relatively natural flow regime, and consequently have maintained different levels of instream habitat complexity and native fish persistence. Despite decades of management, endangered species lack self-sustaining populations and other native species have been extirpated from over half their ranges, which begs the question: can water development and fish conservation be balanced under current water laws and climate change-driven declines in runoff? Given the continued decline in freshwater biodiversity and abundance occurring across the globe, we contend that immediate designation of rivers with natural flow regimes as freshwater conservation areas will enhance native species recovery.

","language":"English","publisher":"American Fisheries Society","doi":"10.1002/fsh.10703","usgsCitation":"Pennock, C., Budy, P., Macfarlane, W., Breen, M., Jimenez, J., and Schmidt, J., 2022, Native fish need a natural flow regime: Fisheries Magazine, v. 47, no. 3, p. 118-123, https://doi.org/10.1002/fsh.10703.","productDescription":"6 p.","startPage":"118","endPage":"123","ipdsId":"IP-130996","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":429748,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Colorado, Utah, Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -105.4907110693891,\n 42.5751470978968\n ],\n [\n -112.27098956249205,\n 42.5751470978968\n ],\n [\n -112.27098956249205,\n 36.331037654860665\n ],\n [\n -105.4907110693891,\n 36.331037654860665\n ],\n [\n -105.4907110693891,\n 42.5751470978968\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"47","issue":"3","noUsgsAuthors":false,"publicationDate":"2022-01-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Pennock, Casey A.","contributorId":337700,"corporation":false,"usgs":false,"family":"Pennock","given":"Casey A.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":902623,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Budy, Phaedra E. 0000-0002-9918-1678","orcid":"https://orcid.org/0000-0002-9918-1678","contributorId":228930,"corporation":false,"usgs":true,"family":"Budy","given":"Phaedra E.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":902622,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Macfarlane, William W.","contributorId":337701,"corporation":false,"usgs":false,"family":"Macfarlane","given":"William W.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":902624,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Breen, Matthew J.","contributorId":337702,"corporation":false,"usgs":false,"family":"Breen","given":"Matthew J.","affiliations":[{"id":81036,"text":"Northeastern Regional Office","active":true,"usgs":false}],"preferred":false,"id":902625,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jimenez, Justin","contributorId":337704,"corporation":false,"usgs":false,"family":"Jimenez","given":"Justin","affiliations":[{"id":81037,"text":"U. S. Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":902626,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schmidt, John C.","contributorId":337707,"corporation":false,"usgs":false,"family":"Schmidt","given":"John C.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":902627,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70231551,"text":"70231551 - 2022 - Aquatic vegetation dynamics in the Upper Mississippi River over 2 decades spanning vegetation recovery","interactions":[],"lastModifiedDate":"2022-05-13T11:47:38.827389","indexId":"70231551","displayToPublicDate":"2021-11-18T06:43:50","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1699,"text":"Freshwater Science","active":true,"publicationSubtype":{"id":10}},"title":"Aquatic vegetation dynamics in the Upper Mississippi River over 2 decades spanning vegetation recovery","docAbstract":"

Macrophytes have recovered in rivers across the world, but long-term data and studies are lacking regarding community assembly and diversity changes coincident with macrophyte recovery. We investigated patterns of aquatic vegetation species composition and diversity in thousands of sites in the Upper Mississippi River, USA, spanning 21 y of monitoring and a period of vegetation recovery. We analyzed site-level compositional dissimilarity and environmental associations using non-metric multidimensional scaling, compared stability of lake-level assemblages over time with convex hulls, and assessed shared trends in assemblage dissimilarity at the pool scale using dynamic factor analysis. Site-level differences in aquatic vegetation assemblage structure were associated with water depth and substrate, and a gradient of species abundance and diversity was apparent. A common trend in assemblage dissimilarity over time and across contiguous floodplain lakes indicate that assemblage composition changed and diversity increased with considerable synchrony within the past 21 y. Shared trends across the 400-km study reach are indicative of 1 or more widespread, common drivers; however, neither hydrologic extremes nor turbidity explained vegetation assemblage patterns. Following several years of strong changes in composition and increased diversity, the vegetation assemblage displayed signs of increasing stability in some pools but not others. Further research is needed to identify drivers and mechanisms of aquatic vegetation assemblage expansion, assembly, and resilience, all of which will be applicable to the recovery of aquatic vegetation in floodplain systems worldwide.

","language":"English","publisher":"The University of Chicago Press","doi":"10.1086/717867","usgsCitation":"Bouska, K.L., Larson, D.M., Drake, D.C., Lund, E.M., Carhart, A., and Bales, K.R., 2022, Aquatic vegetation dynamics in the Upper Mississippi River over 2 decades spanning vegetation recovery: Freshwater Science, v. 41, no. 1, p. 33-44, https://doi.org/10.1086/717867.","productDescription":"12 p.","startPage":"33","endPage":"44","ipdsId":"IP-126471","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":400622,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois, Iowa, Minnesota, Wisconsin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -92.79052734375,\n 44.680371641890375\n ],\n [\n -92.5872802734375,\n 44.469071224701096\n ],\n [\n -91.9830322265625,\n 44.351350365612326\n ],\n [\n -91.9281005859375,\n 44.402391829093915\n ],\n [\n -92.26318359375,\n 44.629573191951046\n ],\n [\n -92.7850341796875,\n 44.766236875162335\n ],\n [\n -92.79052734375,\n 44.680371641890375\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.329345703125,\n 43.54456658436357\n ],\n [\n -91.14257812499999,\n 43.54456658436357\n ],\n [\n -91.14257812499999,\n 43.83452678223682\n ],\n [\n -91.329345703125,\n 43.83452678223682\n ],\n [\n -91.329345703125,\n 43.54456658436357\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -90.2691650390625,\n 41.97174336327968\n ],\n [\n -90.362548828125,\n 41.79179268262892\n ],\n [\n -90.06591796875,\n 41.795888098191426\n ],\n [\n -90.087890625,\n 42.18375873465217\n ],\n [\n -90.2801513671875,\n 42.36260292171998\n ],\n [\n -90.494384765625,\n 42.36260292171998\n ],\n [\n -90.2691650390625,\n 41.97174336327968\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"41","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bouska, Kristen L. 0000-0002-4115-2313 kbouska@usgs.gov","orcid":"https://orcid.org/0000-0002-4115-2313","contributorId":178005,"corporation":false,"usgs":true,"family":"Bouska","given":"Kristen","email":"kbouska@usgs.gov","middleInitial":"L.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":842999,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Larson, Danelle M. 0000-0001-6349-6267","orcid":"https://orcid.org/0000-0001-6349-6267","contributorId":228838,"corporation":false,"usgs":true,"family":"Larson","given":"Danelle","email":"","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":843000,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Drake, Deanne C.","contributorId":207846,"corporation":false,"usgs":false,"family":"Drake","given":"Deanne","email":"","middleInitial":"C.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":843001,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lund, Eric M.","contributorId":291763,"corporation":false,"usgs":false,"family":"Lund","given":"Eric","email":"","middleInitial":"M.","affiliations":[{"id":6964,"text":"Minnesota Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":843002,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Carhart, Alicia M.","contributorId":291764,"corporation":false,"usgs":false,"family":"Carhart","given":"Alicia M.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":843003,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bales, Kyle R.","contributorId":291765,"corporation":false,"usgs":false,"family":"Bales","given":"Kyle","email":"","middleInitial":"R.","affiliations":[{"id":24495,"text":"Iowa Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":843004,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ]}