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No abstract available.

","language":"English","publisher":"Frontiers Media","doi":"10.3389/fenvs.2022.853684","usgsCitation":"Norman, L., 2022, Commentary: Dryland watershed restoration with rock detention structures: A nature-based solution to mitigate drought, erosion, flooding, and atmospheric carbon: Frontiers in Environmental Science, v. 10, 853684, 5 p., https://doi.org/10.3389/fenvs.2022.853684.","productDescription":"853684, 5 p.","ipdsId":"IP-136280","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":448283,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fenvs.2022.853684","text":"Publisher Index Page"},{"id":398112,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","state":"Arizona, Chihuahua, New Mexico, 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\"}}]}","volume":"10","noUsgsAuthors":false,"publicationDate":"2022-04-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Norman, Laura M. 0000-0002-3696-8406","orcid":"https://orcid.org/0000-0002-3696-8406","contributorId":203300,"corporation":false,"usgs":true,"family":"Norman","given":"Laura M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":839617,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70248066,"text":"70248066 - 2022 - Can grazing by elk and bison stimulate herbaceous plant productivity in semiarid ecosystems?","interactions":[],"lastModifiedDate":"2023-09-05T14:53:04.797637","indexId":"70248066","displayToPublicDate":"2022-04-01T09:44:32","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Can grazing by elk and bison stimulate herbaceous plant productivity in semiarid ecosystems?","docAbstract":"

Plant communities in rangeland ecosystems vary widely in the degree to which they can compensate for losses to herbivores. Ecosystem-level factors have been proposed to affect this compensatory capacity, including timing and intensity of grazing, and availability of soil moisture and nutrients. Arid ecosystems are particularly challenging to predict because of their high degree of temporal variability in moisture inputs. We used a replicated herbivore exclusion experiment to evaluate herbaceous plant responses to grazing by large ungulates to test current theory and identify constraints on plant compensation in a dryland ecosystem. We measured nitrogen (N) yield and herbaceous production in three plant communities: meadows, willow-associated herbaceous communities, and riparian communities. We implemented grazing exclusion treatments from 2005 to 2008 in areas with elk and bison and areas with only elk. Grazing by large ungulates increased herbaceous production and N yield in herbaceous riparian communities. In willow communities, herbaceous plants displayed equal compensation in response to grazing in total aboveground production and N yield. Our results support the idea that plant compensation in this semiarid system is contingent on soil moisture availability, wherein the most productive sites (that received substantial moisture inputs from subsurface flow) exhibited overcompensation. Although the herbaceous riparian communities we studied are isolated patches of productive grassland in an otherwise shrub-dominated and minimally productive semiarid landscape, grazing by a combination of bison and elk removed only 44%–53% of aboveground net primary productivity (ANPP) during the growing season, and 25%–38% of production over winter. Consumption by ungulates was a positive linear function of herbaceous production, similar to reported patterns from other temperate and tropical grazing ecosystems. The slope of this relationship was affected by the analytical method used to calculate ANPP and consumption rates, but, regardless of the method, was lower or similar to reported slopes for other intensively grazed systems (Yellowstone, Serengeti, Laikipia) that have sustained high ungulate densities for decades to centuries. Given that the vegetation communities exhibited equal or overcompensation in terms of total herbaceous ANPP in both years, elk and bison population levels during our study period did not appear to occur at densities leading to degradation of herbaceous communities.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.4025","usgsCitation":"Schoenecker, K., Zeigenfuss, L., and Augustine, D., 2022, Can grazing by elk and bison stimulate herbaceous plant productivity in semiarid ecosystems?: Ecosphere, v. 13, no. 4, e4025, 15 p., https://doi.org/10.1002/ecs2.4025.","productDescription":"e4025, 15 p.","ipdsId":"IP-069243","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":487879,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.4025","text":"Publisher Index Page"},{"id":435899,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9961IKS","text":"USGS data release","linkHelpText":"Winter herbaceous utilization by elk and bison in the Great Sand Dunes National Park ecosystem of the San Luis Valley, Colorado, 2006 to 2008"},{"id":420480,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Baca National Wildlife Refuge, Great Sand Dunes National Park, Medano Ranch, San Luis Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -106.23192591246229,\n 38.100302826197264\n ],\n [\n -106.23192591246229,\n 37.4703983611097\n ],\n [\n -105.47279478671305,\n 37.4703983611097\n ],\n [\n -105.47279478671305,\n 38.100302826197264\n ],\n [\n -106.23192591246229,\n 38.100302826197264\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"13","issue":"4","noUsgsAuthors":false,"publicationDate":"2022-04-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Schoenecker, Kathryn A. 0000-0001-9906-911X","orcid":"https://orcid.org/0000-0001-9906-911X","contributorId":202531,"corporation":false,"usgs":true,"family":"Schoenecker","given":"Kathryn A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":881734,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zeigenfuss, Linda 0000-0002-6700-8563","orcid":"https://orcid.org/0000-0002-6700-8563","contributorId":203712,"corporation":false,"usgs":true,"family":"Zeigenfuss","given":"Linda","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":881735,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Augustine, David J.","contributorId":36849,"corporation":false,"usgs":true,"family":"Augustine","given":"David J.","affiliations":[],"preferred":false,"id":881736,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70236571,"text":"70236571 - 2022 - On the potential for remote observations of coastal morphodynamics from surf-cameras","interactions":[],"lastModifiedDate":"2022-09-12T14:27:37.087379","indexId":"70236571","displayToPublicDate":"2022-04-01T09:14:37","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"On the potential for remote observations of coastal morphodynamics from surf-cameras","docAbstract":"

Recreational surf-cameras (surfcams) are ubiquitous along many coastlines, and yet are a largely untapped source of coastal morphodynamic observations. Surfcams offer broad spatial coverage and flexibility in data collection, but a method to remotely acquire ground control points (GCPs) and initial camera parameter approximations is necessary to better leverage this existing infrastructure to make quantitative measurements. This study examines the efficacy of remotely monitoring coastal morphodynamics from surfcams at two sites on the Atlantic coast of Florida, U.S.A., by leveraging freely available airborne lidar observations to acquire remote-GCPs and open-source web tools for camera parameter approximations, ignoring lens distortion. Intrinsic and extrinsic camera parameters are determined using a modified space resection procedure, wherein parameters are determined using iterative adjustment while fitting to remote-GCPs and initial camera parameter approximations derived from justified assumptions and Google Earth. This procedure is completed using the open-source Surf-Camera Remote Calibration Tool (SurfRCaT). The results indicate root mean squared horizontal reprojection errors at the two cameras of 3.43 m and 6.48 m. Only immobile hard structures such as piers, jetties, and boulders are suitable as remote-GCPs, and the spatial distribution of available points is a likely reason for the higher accuracy at one camera relative to the other. Additionally, lens distortion is not considered in this work. This is another important source of error and including it in the methodology is highlighted as a useful avenue for future work. Additional factors, such as initial camera parameter approximation accuracy, likely play a role as well. This work illustrates that, provided there is sufficient remote-GCP availability and small lens distortion, remote video monitoring of coastal areas with existing surfcams could provide a usable source of coastal morphodynamic observations. This is further explored with a shoreline change analysis from the higher-accuracy camera. It was found that only the largest (>6 m) magnitude shoreline changes exceed the observational uncertainty driven by shoreline mapping error and reprojection error, indicating that remotely calibrated surfcams can provide observations of seasonal or storm-driven signals.

","language":"English","publisher":"MDPI","doi":"10.3390/rs14071706","usgsCitation":"Conlin, M.P., Adams, P., and Palmsten, M.L., 2022, On the potential for remote observations of coastal morphodynamics from surf-cameras: Remote Sensing, v. 14, no. 7, 1706, 18 p., https://doi.org/10.3390/rs14071706.","productDescription":"1706, 18 p.","ipdsId":"IP-124730","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":448287,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs14071706","text":"Publisher Index Page"},{"id":406533,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Jupiter Island, St. Lucie Inlet","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.07522583007812,\n 26.943495898597618\n ],\n [\n -80.06492614746094,\n 26.943495898597618\n ],\n [\n -80.12535095214844,\n 27.108033801463115\n ],\n [\n -80.1397705078125,\n 27.118424003999095\n ],\n [\n -80.14389038085938,\n 27.109867436716698\n ],\n [\n -80.1123046875,\n 27.034052154839163\n ],\n [\n -80.08895874023438,\n 26.97164956771795\n ],\n [\n -80.08209228515625,\n 26.944108009688595\n ],\n [\n -80.07522583007812,\n 26.943495898597618\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"14","issue":"7","noUsgsAuthors":false,"publicationDate":"2022-04-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Conlin, Matthew P.","contributorId":239947,"corporation":false,"usgs":false,"family":"Conlin","given":"Matthew","email":"","middleInitial":"P.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":851411,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Adams, Peter N.","contributorId":264783,"corporation":false,"usgs":false,"family":"Adams","given":"Peter N.","affiliations":[{"id":34924,"text":"U. Florida","active":true,"usgs":false}],"preferred":false,"id":851412,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Palmsten, Margaret L. 0000-0002-6424-2338","orcid":"https://orcid.org/0000-0002-6424-2338","contributorId":239955,"corporation":false,"usgs":true,"family":"Palmsten","given":"Margaret","email":"","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":851413,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70237708,"text":"70237708 - 2022 - Fort Stanton cave science conference field guide","interactions":[],"lastModifiedDate":"2022-10-19T14:21:29.332954","indexId":"70237708","displayToPublicDate":"2022-04-01T09:08:25","publicationYear":"2022","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":12,"text":"Conference publication"},"title":"Fort Stanton cave science conference field guide","docAbstract":"

No abstract available.

","language":"English","publisher":"New Mexico Bureau of Geology and Mineral Resources","usgsCitation":"Peerman, S., Blake, J., Ferguson, C.L., Boston, P.J., Connolly, C., Miltenberger, K.E., Newton, T., and Spilde, M., 2022, Fort Stanton cave science conference field guide, 32 p.","productDescription":"32 p.","ipdsId":"IP-137324","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":408543,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":408542,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://geoinfo.nmt.edu/FtStanton/home.cfm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"New Mexico","otherGeospatial":"Fort Stanton Cave","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -105.5,\n 33.35\n ],\n [\n -105.7,\n 33.35\n ],\n [\n -105.7,\n 33.55\n ],\n [\n -105.5,\n 33.55\n ],\n [\n -105.5,\n 33.35\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Peerman, Steve","contributorId":298092,"corporation":false,"usgs":false,"family":"Peerman","given":"Steve","affiliations":[{"id":64495,"text":"Fort Stanton Cave Study Project","active":true,"usgs":false}],"preferred":false,"id":855094,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blake, Johanna 0000-0003-4667-0096","orcid":"https://orcid.org/0000-0003-4667-0096","contributorId":217272,"corporation":false,"usgs":true,"family":"Blake","given":"Johanna","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":855090,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ferguson, Christina L. 0000-0003-3368-0770","orcid":"https://orcid.org/0000-0003-3368-0770","contributorId":225087,"corporation":false,"usgs":true,"family":"Ferguson","given":"Christina","email":"","middleInitial":"L.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":855091,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boston, Penelope J.","contributorId":127514,"corporation":false,"usgs":false,"family":"Boston","given":"Penelope","email":"","middleInitial":"J.","affiliations":[{"id":7026,"text":"New Mexico Tech","active":true,"usgs":false}],"preferred":false,"id":855096,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Connolly, Cynthia","contributorId":298093,"corporation":false,"usgs":false,"family":"Connolly","given":"Cynthia","email":"","affiliations":[{"id":38023,"text":"New Mexico Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":855095,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Miltenberger, K. E. 0000-0002-3874-4609","orcid":"https://orcid.org/0000-0002-3874-4609","contributorId":243647,"corporation":false,"usgs":true,"family":"Miltenberger","given":"K.","middleInitial":"E.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":855092,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Newton, Talon","contributorId":298091,"corporation":false,"usgs":false,"family":"Newton","given":"Talon","email":"","affiliations":[{"id":16150,"text":"New Mexico Bureau of Geology and Mineral Resources","active":true,"usgs":false}],"preferred":false,"id":855093,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Spilde, Mike","contributorId":298094,"corporation":false,"usgs":false,"family":"Spilde","given":"Mike","affiliations":[{"id":36307,"text":"University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":855097,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70234160,"text":"70234160 - 2022 - Updates to and applications of the USGS National Crustal Model for seismic hazard studies","interactions":[],"lastModifiedDate":"2022-08-02T13:59:32.828858","indexId":"70234160","displayToPublicDate":"2022-04-01T08:58:59","publicationYear":"2022","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":18,"text":"Abstract or summary"},"title":"Updates to and applications of the USGS National Crustal Model for seismic hazard studies","docAbstract":"

The U.S. Geological Survey (USGS) National Crustal Model (NCM) is being developed to assist in the modeling of seismic hazards across the conterminous United States. The NCM is composed of a grid of geophysical profiles, extending from the Earth’s surface into the upper mantle. It is constructed from a 3D geologic framework and geophysical rules defined by: (1) a petrologic and mineral physics database; (2) a 3D temperature model; and (3) a calibrated rock type- and age-dependent porosity model. Parameters needed to estimate site response for existing ground motion models (GMMs), including the time-averaged velocity in the upper 30 meters (VS30) and the depths to 1.0 and 2.5 km/s shear-wave velocity (Z1.0 and Z2.5), can be extracted from the NCM. As GMMs develop, other metrics could also be extracted or derived from the NCM such as sediment thickness and travel times, fundamental frequency, a fully frequency-dependent site response function, or 3D geophysical volumes for wavefield simulations. Application of the NCM may also benefit other aspects of seismic hazard analysis including better accounting for path-dependent attenuation and geometric spreading, more accurate estimation of earthquake source properties such as hypocentral location and stress drop, and calculation of crustal strength profiles that inform estimates of the base of seismicity.

","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"OFR22-02, Geologic Mapping Forum 21/22 abstracts","largerWorkSubtype":{"id":3,"text":"Organization Series"},"conferenceTitle":"Geologic Mapping Forum","conferenceDate":"September 2021-April 2022","conferenceLocation":"Virtual","language":"English","publisher":"Minnesota Geological Survey","usgsCitation":"Boyd, O.S., 2022, Updates to and applications of the USGS National Crustal Model for seismic hazard studies, in OFR22-02, Geologic Mapping Forum 21/22 abstracts, Virtual, September 2021-April 2022, p. 51-52.","productDescription":"2 p.","startPage":"51","endPage":"52","ipdsId":"IP-139374","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":404655,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":404638,"type":{"id":15,"text":"Index Page"},"url":"https://hdl.handle.net/11299/228213"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Thorleifson, L. Harvey","contributorId":103430,"corporation":false,"usgs":true,"family":"Thorleifson","given":"L.","email":"","middleInitial":"Harvey","affiliations":[{"id":38105,"text":"Minnesota Geological Survey","active":true,"usgs":false}],"preferred":false,"id":848067,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Boyd, Oliver S. 0000-0001-9457-0407 olboyd@usgs.gov","orcid":"https://orcid.org/0000-0001-9457-0407","contributorId":140739,"corporation":false,"usgs":true,"family":"Boyd","given":"Oliver","email":"olboyd@usgs.gov","middleInitial":"S.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":848049,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70230428,"text":"70230428 - 2022 - Young basalt fields of the Mojave Desert","interactions":[],"lastModifiedDate":"2022-04-13T13:35:33.773805","indexId":"70230428","displayToPublicDate":"2022-04-01T08:33:00","publicationYear":"2022","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Young basalt fields of the Mojave Desert","docAbstract":"Basalt, a mafic volcanic rock common in mid-ocean islands and in several continental settings, is melted from upper mantle rocks in many cases and thus provides information on mantle conditions. Basalt lava fields, some decorated with cinder cones, are scattered around the Mojave Desert. Only a few basalt fields have been well studied, so we undertook a compilation of basalt fields that are younger than ~12 Ma to examine space-time patterns. Cima volcanic field is unique in having eruptions that span ~7.5 MY, including the youngest eruption in the Mojave Desert at ~12 ka. Other fields probably erupted over short timespans of decades to hundreds of years based on analogy with modern eruptions, with few exceptions. We find that all basalt fields except Cima are restricted to the active eastern California shear zone, and many lie on active faults, indicating a direct relation between faulting and volcanism. Area and volume of lava is greatest for those fields associated with dextral faults, which may be attributed to less shear stress across those faults as compared to sinistral faults. Xenolith-bearing basalts that include chunks of mantle and deep crustal rocks are known in a few locations from the eastern San Bernardino Mountains to Cima and have a wide range in age.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Volcanoes in the Mojave: 2022 Desert symposium field guide and proceedings","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Desert Symposium Inc","usgsCitation":"Miller, D., and Buesch, D.C., 2022, Young basalt fields of the Mojave Desert, in Volcanoes in the Mojave: 2022 Desert symposium field guide and proceedings, p. 63-73.","productDescription":"11 p.","startPage":"63","endPage":"73","ipdsId":"IP-132547","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":398643,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":398613,"type":{"id":15,"text":"Index Page"},"url":"https://www.desertsymposium.org"}],"country":"United States","state":"California","otherGeospatial":"Mojave Desert","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.3282470703125,\n 33\n ],\n [\n -115.5,\n 33\n ],\n [\n -115.5,\n 35.36217605914681\n ],\n [\n -118.3282470703125,\n 35.36217605914681\n ],\n [\n -118.3282470703125,\n 33\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Miller, David M. 0000-0003-3711-0441","orcid":"https://orcid.org/0000-0003-3711-0441","contributorId":238721,"corporation":false,"usgs":true,"family":"Miller","given":"David M.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":840407,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Buesch, David C. 0000-0002-4978-5027 dbuesch@usgs.gov","orcid":"https://orcid.org/0000-0002-4978-5027","contributorId":1154,"corporation":false,"usgs":true,"family":"Buesch","given":"David","email":"dbuesch@usgs.gov","middleInitial":"C.","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":840408,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70230479,"text":"70230479 - 2022 - WaterMarks Spring 2022 Newsletter","interactions":[],"lastModifiedDate":"2022-04-14T13:17:53.528212","indexId":"70230479","displayToPublicDate":"2022-04-01T08:17:23","publicationYear":"2022","noYear":false,"publicationType":{"id":25,"text":"Newsletter"},"publicationSubtype":{"id":30,"text":"Newsletter"},"seriesTitle":{"id":10554,"text":"Watermarks New England Water Science Center Newsletter","active":true,"publicationSubtype":{"id":30}},"title":"WaterMarks Spring 2022 Newsletter","docAbstract":"

No abstract available.

","language":"English","publisher":"U.S. Geological Survey","usgsCitation":"Ventetuolo, D.J., 2022, WaterMarks Spring 2022 Newsletter: Watermarks New England Water Science Center Newsletter, HTML Document.","productDescription":"HTML Document","ipdsId":"IP-139131","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":398731,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":398711,"type":{"id":15,"text":"Index Page"},"url":"https://www.usgs.gov/watermarks-new-england-wsc-newsletters/watermarks-newsletter-spring-2022"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ventetuolo, Dennis J. 0000-0002-5811-3142","orcid":"https://orcid.org/0000-0002-5811-3142","contributorId":290224,"corporation":false,"usgs":true,"family":"Ventetuolo","given":"Dennis","email":"","middleInitial":"J.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":840531,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70230431,"text":"70230431 - 2022 - Post-Early Miocene silicic volcanism in the northern Mojave Desert, California","interactions":[],"lastModifiedDate":"2022-04-13T13:21:26.717806","indexId":"70230431","displayToPublicDate":"2022-04-01T08:14:16","publicationYear":"2022","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Post-Early Miocene silicic volcanism in the northern Mojave Desert, California","docAbstract":"Silicic volcanism that postdates widespread early Miocene volcanism in the Mojave Desert is underappreciated. We compiled age, petrographic, and geochemical data for volcanic rocks in a wide swath of the desert south of the Garlock fault using an age threshold of post-18.8 Ma, approximately the limit of the earlier Miocene volcanism as marked by the eruption of the widespread Peach Spring Tuff. In addition to the well-known young basaltic volcanic centers not considered in this paper, several dozen silicic volcanic edifices are known or likely to be younger than 18.8 Ma. Several examples of rhyolite tuffs and basalt lava in middle Miocene basin occur in sequences of the Barstow Formation and its correlatives. Dacite domes are common in the Calico Mountains, dated at ~17 Ma, and similar, but mostly undated, domes are scattered nearby in the Barstow area and east of the Calico Mountains. North of Barstow, chains of rhyolite domes and scattered dacite domes are known. A few of these domes and flows are dated in the range of 13-7 Ma. Farther north, the Lava Mountains have several volcanic sequences from 12 to 7 Ma and ranging in composition from basalt to rhyolite. Farther east and west are more rhyolite and dacite domes, in general undated, as well as the extensive ~17.8 Ma Woods Mountains rhyolite center. Sparse geochemical data for the silicic rocks indicate distinct rhyolite and dacite groups, and rare andesite. Understanding of these potentially young silicic volcanic rocks is hampered by poor age control and geochemical data, but more study holds promise for better understanding the origins of volcanism in the Mojave Desert.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Volcanoes in the Mojave: 2022 Desert symposium field guide and proceedings","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Desert Symposium Inc","usgsCitation":"Miller, D., Gans, P.B., Felger, T.J., and Vazquez, J.A., 2022, Post-Early Miocene silicic volcanism in the northern Mojave Desert, California, in Volcanoes in the Mojave: 2022 Desert symposium field guide and proceedings, p. 124-141.","productDescription":"18 p.","startPage":"124","endPage":"141","ipdsId":"IP-137943","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":398642,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":398614,"type":{"id":15,"text":"Index Page"},"url":"https://www.desertsymposium.org"}],"country":"United States","state":"California, Nevada","otherGeospatial":"northern Mojave Desert","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119,\n 34\n ],\n [\n -114,\n 34\n ],\n [\n -114,\n 37\n ],\n [\n -119,\n 37\n ],\n [\n -119,\n 34\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Miller, David M. 0000-0003-3711-0441","orcid":"https://orcid.org/0000-0003-3711-0441","contributorId":238721,"corporation":false,"usgs":true,"family":"Miller","given":"David M.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":840409,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gans, Phillip B 0000-0003-0373-9639","orcid":"https://orcid.org/0000-0003-0373-9639","contributorId":204410,"corporation":false,"usgs":false,"family":"Gans","given":"Phillip","email":"","middleInitial":"B","affiliations":[{"id":36937,"text":"Dept of Earth Science, Univ of California, Santa Barbara, CA","active":true,"usgs":false}],"preferred":false,"id":840410,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Felger, Tracey J. 0000-0003-0841-4235 tfelger@usgs.gov","orcid":"https://orcid.org/0000-0003-0841-4235","contributorId":290175,"corporation":false,"usgs":true,"family":"Felger","given":"Tracey","email":"tfelger@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":840411,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vazquez, Jorge A. 0000-0003-2754-0456 jvazquez@usgs.gov","orcid":"https://orcid.org/0000-0003-2754-0456","contributorId":4458,"corporation":false,"usgs":true,"family":"Vazquez","given":"Jorge","email":"jvazquez@usgs.gov","middleInitial":"A.","affiliations":[{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":5056,"text":"Office of the AD Energy and Minerals, and Environmental Health","active":true,"usgs":true}],"preferred":true,"id":840412,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70233918,"text":"70233918 - 2022 - Results of the collaborative Lake Ontario bloater restoration stocking and assessment, 2012–2020","interactions":[],"lastModifiedDate":"2024-09-16T22:46:22.661249","indexId":"70233918","displayToPublicDate":"2022-04-01T07:22:23","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Results of the collaborative Lake Ontario bloater restoration stocking and assessment, 2012–2020","docAbstract":"

Bloater, Coregonus hoyi, are deepwater planktivores native to the Laurentian Great Lakes and Lake Nipigon. Interpretations of commercial fishery time series suggest they were common in Lake Ontario through the early 1900s but by the 1950s were no longer captured by commercial fishers. Annual bottom trawl surveys that began in 1978 and sampled extensively across putative bloater habitat only yielded one individual (1983), suggesting that the species had been locally extirpated. In 2012, a multiagency restoration program stocked bloater into Lake Ontario from gametes collected in Lake Michigan. From 2012 to 2020, 1,028,191 bloater were stocked into Lake Ontario. Bottom trawl surveys first detected stocked fish in 2015, and through 2020 ten bloater have been caught (total length mean = 129 mm, s.d. = 44 mm, range: 96–240 mm). Hatchery applied marks and genetic analyses confirmed the species identification and identified stocking location for some individuals. Trawl capture locations and acoustic telemetry suggested that stocked fish dispersed throughout the main lake within months or sooner, and the depth distribution of recaptured bloater was similar to historic distributions in Lake Ontario and other Great Lakes. Predicted bloater trawl catches, based on modeled population abundance and trawl survey efficiency, were similar to observed catches, suggesting that post-stocking survival is less than 20% and contemporary bottom trawl surveys can quantify bloater abundance at low densities and track restoration.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2021.11.014","usgsCitation":"Weidel, B., Ackiss, A.S., Chalupnicki, M., Connerton, M., Davis, S., Dettmers, J.M., Drew, T., Fisk, A., Gordon, R., Hanson, S.D., Holden, J., Holey, M.E., Johnson, J.H., Johnson, T., Lake, C., Lantry, B.F., Loftus, K., Mackey, G., McKenna, J.E., Millard, M.J., Minihkeim, S.P., O’Malley, B., Rupnik, A., Todd, A.C., and Lapan, S., 2022, Results of the collaborative Lake Ontario bloater restoration stocking and assessment, 2012–2020: Journal of Great Lakes Research, v. 48, no. 2, p. 371-380, https://doi.org/10.1016/j.jglr.2021.11.014.","productDescription":"10 p.","startPage":"371","endPage":"380","ipdsId":"IP-130234","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":404532,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Lake Ontario","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.299072265625,\n 43.060861371343236\n ],\n [\n -75.333251953125,\n 43.060861371343236\n ],\n [\n -75.333251953125,\n 44.53567453241317\n ],\n [\n -80.299072265625,\n 44.53567453241317\n ],\n [\n -80.299072265625,\n 43.060861371343236\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"48","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"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":847657,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ackiss, Amanda Susanne 0000-0002-8726-7423","orcid":"https://orcid.org/0000-0002-8726-7423","contributorId":272165,"corporation":false,"usgs":true,"family":"Ackiss","given":"Amanda","email":"","middleInitial":"Susanne","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":847658,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chalupnicki, Marc 0000-0002-3792-9345","orcid":"https://orcid.org/0000-0002-3792-9345","contributorId":242991,"corporation":false,"usgs":true,"family":"Chalupnicki","given":"Marc","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":847659,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Connerton, Michael","contributorId":251649,"corporation":false,"usgs":false,"family":"Connerton","given":"Michael","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":847660,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Davis, Steve","contributorId":218881,"corporation":false,"usgs":false,"family":"Davis","given":"Steve","email":"","affiliations":[],"preferred":false,"id":847661,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dettmers, John M.","contributorId":191256,"corporation":false,"usgs":false,"family":"Dettmers","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":847662,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Drew, Timothy","contributorId":293860,"corporation":false,"usgs":false,"family":"Drew","given":"Timothy","email":"","affiliations":[{"id":12864,"text":"OMNRF","active":true,"usgs":false}],"preferred":false,"id":847663,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fisk, Aaron T.","contributorId":51604,"corporation":false,"usgs":false,"family":"Fisk","given":"Aaron T.","affiliations":[],"preferred":false,"id":847664,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Gordon, Roger","contributorId":194165,"corporation":false,"usgs":false,"family":"Gordon","given":"Roger","email":"","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":847665,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hanson, S. Dale","contributorId":218843,"corporation":false,"usgs":false,"family":"Hanson","given":"S.","email":"","middleInitial":"Dale","affiliations":[{"id":12428,"text":"U. S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":847666,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Holden, Jeremy","contributorId":168905,"corporation":false,"usgs":false,"family":"Holden","given":"Jeremy","affiliations":[{"id":16762,"text":"Ontario Ministry of Natural Resources and Forestry","active":true,"usgs":false}],"preferred":false,"id":847667,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Holey, Mark E.","contributorId":212699,"corporation":false,"usgs":false,"family":"Holey","given":"Mark","email":"","middleInitial":"E.","affiliations":[{"id":12428,"text":"U. S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":847668,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Johnson, James H. 0000-0002-5619-3871 jhjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-5619-3871","contributorId":389,"corporation":false,"usgs":true,"family":"Johnson","given":"James","email":"jhjohnson@usgs.gov","middleInitial":"H.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":847669,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Johnson, Timothy B.","contributorId":251690,"corporation":false,"usgs":false,"family":"Johnson","given":"Timothy B.","affiliations":[{"id":50374,"text":"Ontario Ministry of Natural Resources and Forests (OMNRF)","active":true,"usgs":false}],"preferred":false,"id":847670,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Lake, Colin","contributorId":293863,"corporation":false,"usgs":false,"family":"Lake","given":"Colin","email":"","affiliations":[{"id":12864,"text":"OMNRF","active":true,"usgs":false}],"preferred":false,"id":847671,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"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":847672,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Loftus, Kevin","contributorId":293865,"corporation":false,"usgs":false,"family":"Loftus","given":"Kevin","email":"","affiliations":[{"id":12864,"text":"OMNRF","active":true,"usgs":false}],"preferred":false,"id":847673,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Mackey, Gregg 0000-0002-6073-2487 gmackey@usgs.gov","orcid":"https://orcid.org/0000-0002-6073-2487","contributorId":293866,"corporation":false,"usgs":true,"family":"Mackey","given":"Gregg","email":"gmackey@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":847674,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"McKenna, James E. Jr. 0000-0002-1428-7597 jemckenna@usgs.gov","orcid":"https://orcid.org/0000-0002-1428-7597","contributorId":195894,"corporation":false,"usgs":true,"family":"McKenna","given":"James","suffix":"Jr.","email":"jemckenna@usgs.gov","middleInitial":"E.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":847675,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Millard, Michael J.","contributorId":23411,"corporation":false,"usgs":false,"family":"Millard","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":847676,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Minihkeim, Scott P. 0000-0003-4958-2462","orcid":"https://orcid.org/0000-0003-4958-2462","contributorId":265808,"corporation":false,"usgs":true,"family":"Minihkeim","given":"Scott","email":"","middleInitial":"P.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":847677,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"O’Malley, Brian 0000-0001-5035-3080 bomalley@usgs.gov","orcid":"https://orcid.org/0000-0001-5035-3080","contributorId":216560,"corporation":false,"usgs":true,"family":"O’Malley","given":"Brian","email":"bomalley@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":847678,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Rupnik, Adam","contributorId":293874,"corporation":false,"usgs":false,"family":"Rupnik","given":"Adam","email":"","affiliations":[{"id":63543,"text":"OMNDMNRF","active":true,"usgs":false}],"preferred":false,"id":847681,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Todd, Andrew C.","contributorId":279545,"corporation":false,"usgs":false,"family":"Todd","given":"Andrew","email":"","middleInitial":"C.","affiliations":[{"id":25471,"text":"Texas Christian University","active":true,"usgs":false}],"preferred":false,"id":847679,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Lapan, Steven","contributorId":293871,"corporation":false,"usgs":false,"family":"Lapan","given":"Steven","affiliations":[{"id":39079,"text":"NYSDEC","active":true,"usgs":false}],"preferred":false,"id":847680,"contributorType":{"id":1,"text":"Authors"},"rank":25}]}} ,{"id":70238573,"text":"70238573 - 2022 - Biomarkers in the Precambrian: Earth’s ancient sedimentary record of life","interactions":[],"lastModifiedDate":"2022-11-30T12:59:30.478268","indexId":"70238573","displayToPublicDate":"2022-04-01T06:58:29","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1490,"text":"Elements","active":true,"publicationSubtype":{"id":10}},"title":"Biomarkers in the Precambrian: Earth’s ancient sedimentary record of life","docAbstract":"

The hydrocarbon remnants of biologically diagnostic lipids inform our understanding of Earth’s early ecosystems, particularly where morphological vestiges of biology are absent or ambiguous. Yet both the analysis and interpretation of ancient biomarkers require scrutinous approaches. Here, we describe the status quo of Precambrian biomarker geochemistry with four examples that highlight current challenges and opportunities.

","language":"English","publisher":"Mineralogical Society of America","doi":"10.2138/gselements.18.2.93","usgsCitation":"Hallmann, C., French, K.L., and Brocks, J.J., 2022, Biomarkers in the Precambrian: Earth’s ancient sedimentary record of life: Elements, v. 18, no. 2, p. 93-99, https://doi.org/10.2138/gselements.18.2.93.","productDescription":"7 p.","startPage":"93","endPage":"99","ipdsId":"IP-129327","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":502546,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://gfzpublic.gfz-potsdam.de/pubman/item/item_5015116","text":"External Repository"},{"id":409859,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hallmann, Christian","contributorId":242997,"corporation":false,"usgs":false,"family":"Hallmann","given":"Christian","email":"","affiliations":[{"id":48601,"text":"Max-Planck-Institute for Biogeochemistry, Jena, Germany","active":true,"usgs":false}],"preferred":false,"id":857955,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"French, Katherine L. 0000-0002-0153-8035","orcid":"https://orcid.org/0000-0002-0153-8035","contributorId":205462,"corporation":false,"usgs":true,"family":"French","given":"Katherine","email":"","middleInitial":"L.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":false,"id":857956,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brocks, Jochen J.","contributorId":201016,"corporation":false,"usgs":false,"family":"Brocks","given":"Jochen","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":857957,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70230513,"text":"70230513 - 2022 - The ~400 yr B.P. eruption of Half Cone, a post-caldera composite cone within Aniakchak caldera, Alaska Peninsula","interactions":[],"lastModifiedDate":"2022-04-14T11:55:15.066001","indexId":"70230513","displayToPublicDate":"2022-04-01T06:52:39","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"The ~400 yr B.P. eruption of Half Cone, a post-caldera composite cone within Aniakchak caldera, Alaska Peninsula","docAbstract":"Aniakchak volcano is a historically active caldera located on the central Alaska Peninsula.\nThe largest eruption from Aniakchak since the ~3,400 yr B.P. caldera-forming eruption\noccurred ~400 yr B.P. from Half Cone volcano, an intracaldera composite cone on the\nnorthwest floor of the Aniakchak caldera that was largely destroyed by the eruption. The\n~400 yr B.P. eruption produced a widely dispersed pumice fall deposit known as the\nPink and Brown Pumice. Following small phreatomagmatic explosions, a buoyant Plinian\neruption column combined with southwesterly winds dispersed ~1.3 km3 of crystal-poor\ndacite (66.1–67.1% SiO2) Pink Pumice at least 70 km to the northeast from Half Cone (~0.05\nkm3 dense rock equivalent; DRE). Fluctuations in the diameters of pyroclasts and accidental\nlithics in the Pink Pumice indicate at least two cycles of waxing and waning mass flux at the\nHalf Cone vent. This vent produced an eruption column that twice expanded and gained\naltitudes of ~15–20 km before weakening to lower altitudes. Brown Pumice scoria (58.2–\n66.9% SiO2) as well as compositionally banded pyroclasts at the top of the Pink Pumice\nindicate that both dacite magma and an increasing amount of low-SiO2 (58.2–60.5%\nSiO2) andesite magma were erupted simultaneously during the transition to the Brown\nPumice phase of the eruption. The reversely graded Brown Pumice fall deposit records\nan escalating Plinian column dominated by low-SiO2 Brown Pumice scoria that reached\naltitudes of ~20–24 km and led to the emplacement of least ~3.5 km3 of fall deposits up\nto at least 230 km to the northeast (~1 km3 DRE). Over time, the Brown Pumice eruption\ncolumn repeatedly experienced partial collapse that ultimately produced thick pyroclastic\ndensity current deposits, most of which were confined to within the caldera. Lithic-rich\nagglutinate and spatter exposed in 60-m-thick deposits atop the severed flanks of Half\nCone and within ~2 km of Half Cone were emplaced at the end of the Brown Pumice\nphase. Agglutinate deposits range from 58.6 to.64.8% SiO2, which generally falls in the\ncompositional range between Brown and Pink Pumice compositional endmembers. Most\nof the Half Cone edifice was destroyed by the end of the Brown Pumice phase. The ~0.1\nkm3 crystal-rich dacitic Cobweb lava flow (64.8–65.8% SiO2) filled a basin left behind by\nthe destruction of Half Cone as a series of radiating lobes. Subsequently, a small andesitic\ntuff cone (62.2–62.8% SiO2) formed over the Cobweb lava flow vent. In all, we estimate\nthat at least ~5.4 km3 of tephra and ~0.1 km3 of lava erupted during the ~400 yr B.P.\neruption, yielding a total magmatic volume (DRE) of ~1.3 km3. Titanomagnetite-ilmenite\npairs in Pink and Brown Pumice samples record similar equilibrium temperature ranges\n(944–997 °C and 959–985 °C, respectively) but different fO2 conditions—Pink Pumice \npairs plot between NNO and NNO +0.5, Brown Pumice pairs plot below the NNO buffer.\nTitanomagnetite-ilmenite pairs in Brown Pumice agglutinate record a wider range of\ntemperatures than either Pink or Brown Pumice samples (899–1018 °C) but also show\ntwo populations of fO2—one that overlaps the Pink Pumice array at higher fO2 and one\nthat overlaps the Brown Pumice array at lower fO2. Titanomagnetite-ilmenite pairs from\nthe Cobweb lava flow have the largest fO2 range (NNO -0.5 to NNO +0.5), although\nmost pairs overlap Brown Pumice samples at lower fO2 conditions near NNO -0.5. Pairs\nin Cobweb lava samples record temperatures from 837 to 1054 °C, which is the largest\ntemperature range recorded in deposits emplaced during any phase of the ~400 yr B.P.\neruption. Geothermometry results of titanomagnetite-ilmenite pairs in ≤3,400 yr B.P.\nsamples erupted from Aniakchak volcano record a similar temperature range and the\npresence of two fO2 arrays as the ~400 yr B.P. samples, which implies the existence of\ntwo magma regions of the mush column; each the product of slightly different evolution. In\naddition, results from in situ compositional analyses of plagioclase suggest that the ~400\nyr B.P. eruption may have been initiated, at least in part, by intrusion of basaltic magma,\nwhich ascended from the lower crust into the shallow subvolcanic magma mush column\nprior to and during eruption. The bimodal distribution of whole-rock compositions and the\ntwo plagioclase populations in the low-SiO2 Brown Pumice—one defined by An40–An60\ncores and one defined by An79–An95 cores—is consistent with an abbreviated period of\nmixing between intruding basalt and resident dacite mush prior to eruption. Progressive\nmixing between mafic and felsic magmas during and after the eruption likely produced\nthe subsequently erupted Cobweb lava flow, which has an intermediate composition\nwith abundant mineral disequilibria. Aniakchak volcano continues to show episodic signs\nof unrest, suggesting that eruptions will occur in the future.","language":"English","publisher":"Alaska Division of Geological and Geophysical Surveys","usgsCitation":"Browne, B., Neal, C.A., and Bacon, C.R., 2022, The ~400 yr B.P. eruption of Half Cone, a post-caldera composite cone within Aniakchak caldera, Alaska Peninsula, 60 p.","productDescription":"60 p.","ipdsId":"IP-129537","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":398729,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":398723,"type":{"id":15,"text":"Index Page"},"url":"https://dggs.alaska.gov/pubs/id/30839"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -164.1796875,\n 53.67068019347264\n ],\n [\n -155.7421875,\n 53.67068019347264\n ],\n [\n -155.7421875,\n 58.17070248348609\n ],\n [\n -164.1796875,\n 58.17070248348609\n ],\n [\n -164.1796875,\n 53.67068019347264\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Browne, Brandon 0000-0001-7552-2629","orcid":"https://orcid.org/0000-0001-7552-2629","contributorId":290250,"corporation":false,"usgs":false,"family":"Browne","given":"Brandon","email":"","affiliations":[{"id":39689,"text":"Alaska Division of Geological & Geophysical Surveys","active":true,"usgs":false}],"preferred":false,"id":840607,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Neal, Christina A. 0000-0002-7697-7825 tneal@usgs.gov","orcid":"https://orcid.org/0000-0002-7697-7825","contributorId":131135,"corporation":false,"usgs":true,"family":"Neal","given":"Christina","email":"tneal@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":840608,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bacon, Charles R. 0000-0002-2165-5618 cbacon@usgs.gov","orcid":"https://orcid.org/0000-0002-2165-5618","contributorId":2909,"corporation":false,"usgs":true,"family":"Bacon","given":"Charles","email":"cbacon@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":840609,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70230694,"text":"70230694 - 2022 - Elevating human dimensions of amphibian and reptile conservation, a USA perspective","interactions":[],"lastModifiedDate":"2022-06-16T15:28:17.710284","indexId":"70230694","displayToPublicDate":"2022-04-01T06:51:19","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}},"title":"Elevating human dimensions of amphibian and reptile conservation, a USA perspective","docAbstract":"

Increasing threats to amphibian and reptile species raise the urgency of their conservation. However, relative to other vertebrate groups at risk, amphibians and reptiles have low and more variable social capital; they are not generally high-priority natural goods and services valued by people. Consequently, relative to other groups such as birds, mammals, and economically important fish, they garner fewer conservation resources. With increasing risks, their situation degrades. We examine five societal sectors with herpetofaunal conservation interests in the United States (local communities, people in defined geographies and jurisdictions, species and threat specialists and advocates, associated researchers, managers, and policy makers) to understand challenges of low and variable social capital for herpetofauna. With current trends of US public values changing from traditionalist consumerism of wildlife to mutualist coexistence philosophies, a refocus of outreach and inreach efforts could help reframe priorities toward species at greatest risk, rather than broad taxonomic biases. Integrated teams of engaged natural resource managers, researchers, and the interested public can help promote species- and issue-based programs to forestall losses, hence programmatically raising social capital. Heightened recognition of the importance of human relationships and herpetofaunal diversity among researchers, managers, policy makers, educators, artists, authors, citizens, and children could provide inertia to reframe conservation program effectiveness at local-to-national scales.

","language":"English","publisher":"Wiley","doi":"10.1111/csp2.12685","usgsCitation":"Olson, D., and Pilliod, D., 2022, Elevating human dimensions of amphibian and reptile conservation, a USA perspective: Conservation Science and Practice, v. 4, no. 6, e12685, 11 p., https://doi.org/10.1111/csp2.12685.","productDescription":"e12685, 11 p.","ipdsId":"IP-132179","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":448292,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/csp2.12685","text":"Publisher Index Page"},{"id":399390,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Olson, Deanna H.","contributorId":257261,"corporation":false,"usgs":false,"family":"Olson","given":"Deanna H.","affiliations":[{"id":51996,"text":"USDA Forest Service Pacific Northwest Research Station","active":true,"usgs":false}],"preferred":false,"id":841176,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pilliod, David S. 0000-0003-4207-3518","orcid":"https://orcid.org/0000-0003-4207-3518","contributorId":229349,"corporation":false,"usgs":true,"family":"Pilliod","given":"David S.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":841177,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70230703,"text":"70230703 - 2022 - To catch a (marsh) predator: Modified trapping methods for breeding and wintering Northern Harriers (Circus hudsonius)","interactions":[],"lastModifiedDate":"2022-05-13T15:09:50.467724","indexId":"70230703","displayToPublicDate":"2022-04-01T06:46:04","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2442,"text":"Journal of Raptor Research","active":true,"publicationSubtype":{"id":10}},"title":"To catch a (marsh) predator: Modified trapping methods for breeding and wintering Northern Harriers (Circus hudsonius)","docAbstract":"

Although there are a variety of methods available for trapping raptors, some species, such as Northern Harriers (Circus hudsonius), are not easily captured with standard methods. We tested several existing trapping methods and modified two of them based on Northern Harrier ecology and behavior across seasons in a study population in California. No previously successful methods described in the literature were effective for our study population. Two modified methods were most effective for trapping Northern Harriers: (1) placing two dho-gazas around the nest in a V-shape and flushing the adult female into the nets during the breeding season, and (2) using remote-triggered bow nets baited with waterbird carcasses in winter. Dho-gazas at the nest worked well during the early nestling-rearing stage, when nestlings were younger than 2 wk old and adult females were most attentive. This method was not suitable during the incubation stage because Northern Harriers are prone to nest abandonment. In the winter, Northern Harriers are known to scavenge, yet this aspect of their behavioral ecology has previously been rarely exploited for trapping purposes. These two methods allow for selective Northern Harrier trapping across seasons and provide modified options for research on this understudied and declining species in North America.

","language":"English","publisher":"Allen Press","doi":"10.3356/JRR-21-79","usgsCitation":"Skalos, S., Casazza, M.L., Falcon, M.J., Thein, W., and Hull, J.M., 2022, To catch a (marsh) predator: Modified trapping methods for breeding and wintering Northern Harriers (Circus hudsonius): Journal of Raptor Research, v. 56, no. 2, p. 190-200, https://doi.org/10.3356/JRR-21-79.","productDescription":"11 p.","startPage":"190","endPage":"200","ipdsId":"IP-133127","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":399388,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Suisun Marsh","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.01553344726561,\n 38.029703972192\n ],\n [\n -121.86721801757812,\n 38.029703972192\n ],\n [\n -121.86721801757812,\n 38.20365531807149\n ],\n [\n -122.01553344726561,\n 38.20365531807149\n ],\n [\n -122.01553344726561,\n 38.029703972192\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"56","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Skalos, Shannon 0000-0003-1229-8580 sskalos@usgs.gov","orcid":"https://orcid.org/0000-0003-1229-8580","contributorId":167191,"corporation":false,"usgs":true,"family":"Skalos","given":"Shannon","email":"sskalos@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":841187,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Casazza, Michael L. 0000-0002-5636-735X mike_casazza@usgs.gov","orcid":"https://orcid.org/0000-0002-5636-735X","contributorId":2091,"corporation":false,"usgs":true,"family":"Casazza","given":"Michael","email":"mike_casazza@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":841188,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Falcon, Matthew J.","contributorId":260146,"corporation":false,"usgs":false,"family":"Falcon","given":"Matthew","email":"","middleInitial":"J.","affiliations":[{"id":39913,"text":"former WERC","active":true,"usgs":false}],"preferred":false,"id":841189,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thein, William","contributorId":290525,"corporation":false,"usgs":false,"family":"Thein","given":"William","email":"","affiliations":[],"preferred":false,"id":841190,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hull, Joshua M.","contributorId":127686,"corporation":false,"usgs":false,"family":"Hull","given":"Joshua","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":841191,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70230395,"text":"70230395 - 2022 - In situ recording of Mars soundscape","interactions":[],"lastModifiedDate":"2022-06-01T15:15:58.077816","indexId":"70230395","displayToPublicDate":"2022-04-01T06:33:49","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2840,"text":"Nature","active":true,"publicationSubtype":{"id":10}},"title":"In situ recording of Mars soundscape","docAbstract":"

Prior to the Perseverance rover landing, the acoustic environment of Mars was unknown. Models predicted that: (i) atmospheric turbulence changes at centimeter scales or smaller at the point where molecular viscosity converts kinetic energy into heat1, (ii) the speed of sound varies at the surface with frequency2,3, and (iii) high frequency waves are strongly attenuated with distance in CO22–4. However, theoretical models were uncertain because of a lack of experimental data at low pressure, and the difficulty to characterize turbulence or attenuation in a closed environment. Here using Perseverance microphone recordings, we present the first characterization of Mars’ acoustic environment and pressure fluctuations in the audible range and beyond, from 20 Hz to 50 kHz. We find that atmospheric sounds extend measurements of pressure variations down to 1,000 times smaller scales than ever observed before, revealing a dissipative regime extending over 5 orders of magnitude in energy. Using point sources of sound (Ingenuity rotorcraft, laser-induced sparks), we highlight two distinct values for the speed of sound that are ~10 m/s apart below and above 240 Hz, a unique characteristic of low-pressure CO2-dominated atmosphere. We also provide the acoustic attenuation with distance above 2 kHz, allowing us to elucidate the large contribution of the CO2 vibrational relaxation in the audible range. These results establish a ground truth for modelling of acoustic processes, which is critical for studies in atmospheres like Mars and Venus ones.

","language":"English","publisher":"Nature Publishing Group","doi":"10.1038/s41586-022-04679-0","usgsCitation":"Maurice, S., Chide, B., Murdoch, N., Lorenz, R.D., Mimoun, D., Wiens, R.C., Stott, A.E., Jacob, X., Bertrand, T., Montmessin, F., Lanza, N.L., Alvarez-Llamas, C., Angel, S.M., Aung, M., Balaram, J., Beyssac, O., Cousin, A., Delory, G., Forni, O., Fouchet, T., Gasnault, O., Grip, H., Hecht, M., Hoffman, J., Laserna, J., Lasue, J., Maki, J.N., McClean, J., Meslin, P.#., Le Mouélic, S., Munguira, A., Newman, C.E., Rodriguez Manfredi, J.A., Moros, J., Ollila, A., Pilleri, P., Schröder, S., de la Torre Juarez, M., Tzanetos, T., Stack, K., Farley, K., Williford, K.H., Acosta-Maeda, T., Anderson, R., Applin, D., Arana, G., Bassas-Portus, M., Beal, R., Beck, P., Benzerara, K., Bernard, S., Bernardi, P., Bosak, T., Bousquet, B., Brown, A., Cadu, A., Caïs, P., Castro, K., Clavé, E., Clegg, S.M., Cloutis, E., Connell, S., Debus, A., Dehouck, E., Delapp, D., Donny, C., Dorresoundiram, A., Dromart, G., Dubois, B., Fabre, C., Fau, A., Fischer, W.F., Francis, R., Frydenvang, J., Gabriel, T.S., Gibbons, E., Gontijo, I., Johnson, J., Kalucha, H., Kelly, E., Knutsen, E., Lacombe, G., Legett, C., Leveille, R., Lewin, E., Lopez-Reyes, G., Lorigny, E., Madariaga, J.M., Madsen, M.B., Madsen, S., Mandon, L., Mangold, N., Mann, M., Manrique, J., Martinez-Frias, J., Mayhew, L., Meunier, F., McConnochie, T., McLennan, S., Montagnac, G., Mousset, V., Nelson, T.A., Newell, R.T., Parot, Y., Pilorget, C., Pinet, P., Pont, G., Quantin-Nataf, C., Quertier, B., Rapin, W., Reyes-Newell, A., Robinson, S., Rochas, L., Royer, C., Rull, F., Sautter, V., Sharma, S., Shridar, V., Sournac, A., Toplis, M., Torre-Fdez, I., Turenne, N., Udry, A., Veneranda, M., Venhaus, D., Vogt, D., and Willis, P., 2022, In situ recording of Mars soundscape: Nature, v. 605, p. 653-658, https://doi.org/10.1038/s41586-022-04679-0.","productDescription":"6 p.","startPage":"653","endPage":"658","ipdsId":"IP-136153","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":448299,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41586-022-04679-0","text":"Publisher Index Page"},{"id":398491,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mars","volume":"605","noUsgsAuthors":false,"publicationDate":"2022-04-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Maurice, Sylvestre","contributorId":82626,"corporation":false,"usgs":false,"family":"Maurice","given":"Sylvestre","email":"","affiliations":[],"preferred":false,"id":840168,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chide, Baptiste","contributorId":290025,"corporation":false,"usgs":false,"family":"Chide","given":"Baptiste","email":"","affiliations":[{"id":62306,"text":"Space and Planetary Exploration Team, Los Alamos National Laboratory","active":true,"usgs":false}],"preferred":false,"id":840169,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Murdoch, Naomi","contributorId":290026,"corporation":false,"usgs":false,"family":"Murdoch","given":"Naomi","email":"","affiliations":[{"id":62307,"text":"Institut Supérieur de l’Aéronautique et de l’Espace","active":true,"usgs":false}],"preferred":false,"id":840170,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lorenz, Ralph D.","contributorId":56360,"corporation":false,"usgs":false,"family":"Lorenz","given":"Ralph","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":840171,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mimoun, David","contributorId":290027,"corporation":false,"usgs":false,"family":"Mimoun","given":"David","email":"","affiliations":[{"id":62307,"text":"Institut Supérieur de l’Aéronautique et de l’Espace","active":true,"usgs":false}],"preferred":false,"id":840172,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wiens, Roger C.","contributorId":140330,"corporation":false,"usgs":false,"family":"Wiens","given":"Roger","email":"","middleInitial":"C.","affiliations":[{"id":13447,"text":"Los Alamos National Laboratory","active":true,"usgs":false}],"preferred":false,"id":840173,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stott, Alexander E.","contributorId":236698,"corporation":false,"usgs":false,"family":"Stott","given":"Alexander","email":"","middleInitial":"E.","affiliations":[{"id":47531,"text":"Department of Electrical and Electronic Engineering, Imperial College London, South Kensington Campus, London, SW7 2AZ, United Kingdom","active":true,"usgs":false}],"preferred":false,"id":840174,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jacob, X.","contributorId":290028,"corporation":false,"usgs":false,"family":"Jacob","given":"X.","email":"","affiliations":[{"id":62308,"text":"Institut de Mécanique des Fluides,Univ. Toulouse","active":true,"usgs":false}],"preferred":false,"id":840175,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bertrand, T.","contributorId":241793,"corporation":false,"usgs":false,"family":"Bertrand","given":"T.","email":"","affiliations":[{"id":24796,"text":"NASA Ames Research Center","active":true,"usgs":false}],"preferred":false,"id":840176,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Montmessin, F.","contributorId":290029,"corporation":false,"usgs":false,"family":"Montmessin","given":"F.","email":"","affiliations":[{"id":62310,"text":"Laboratoire Atmosphères, Milieux, Observations Spatiales, CNRS, Univ. Saint-Quentin-en-Yvelines, Sorbonne Univ.","active":true,"usgs":false}],"preferred":false,"id":840177,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Lanza, Nina L.","contributorId":140299,"corporation":false,"usgs":false,"family":"Lanza","given":"Nina","email":"","middleInitial":"L.","affiliations":[{"id":13447,"text":"Los Alamos National Laboratory","active":true,"usgs":false}],"preferred":false,"id":840178,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Alvarez-Llamas, C.","contributorId":290030,"corporation":false,"usgs":false,"family":"Alvarez-Llamas","given":"C.","affiliations":[{"id":62311,"text":"Universidad de Malaga","active":true,"usgs":false}],"preferred":false,"id":840179,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Angel, S. 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The reasons why species differ in movement behaviour of young and why some species form family groups and other species have dispersed young have been rarely addressed. We tested a hypothesis that spatial dispersion and movement behaviour of dependent young were influenced by their developmental state and mobile capacity. In songbirds, offspring of species that nest in holes leave the nest with well-developed wings and initially are more mobile than species that nest in open cups. We used radio-telemetry to track fledglings of three hole- and three open-nesting songbird species to test if young differ in spatial dispersion and movement behaviour between nest types. We found that mobile young of hole-nesting species moved farther on a daily basis but remained more aggregated as a family than the less mobile young of open-nesting species. 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This variation in spatial dispersion and movement behaviour of young can have important implications for parental care strategies and juvenile survival.","language":"English","publisher":"Wiley","doi":"10.1111/ibi.13027","usgsCitation":"Arslan, N.S., and Martin, T.E., 2022, Post-fledging spatial dispersion and movement behaviour differs between cavity-nesting and open-cup nesting passerines: Ibis, v. 164, no. 2, p. 486-493, https://doi.org/10.1111/ibi.13027.","productDescription":"8 p.","startPage":"486","endPage":"493","ipdsId":"IP-130046","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":485380,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Coconino National Forest","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -112.04010085378371,\n 35.41147618097317\n ],\n [\n -112.04010085378371,\n 34.25447924403382\n ],\n [\n -110.8598291205829,\n 34.25447924403382\n ],\n [\n -110.8598291205829,\n 35.41147618097317\n ],\n [\n -112.04010085378371,\n 35.41147618097317\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"164","issue":"2","noUsgsAuthors":false,"publicationDate":"2021-11-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Arslan, Necmiye Sahin","contributorId":272527,"corporation":false,"usgs":false,"family":"Arslan","given":"Necmiye","email":"","middleInitial":"Sahin","affiliations":[{"id":50219,"text":"um","active":true,"usgs":false}],"preferred":false,"id":935565,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martin, Thomas E. 0000-0002-4028-4867 tmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-4028-4867","contributorId":1208,"corporation":false,"usgs":true,"family":"Martin","given":"Thomas","email":"tmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":935564,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70234126,"text":"70234126 - 2022 - Estimating soil moisture, actual evapotranspiration, climatic water deficit, and groundwater recharge during periods of drought for current and future climate conditions in Hawaiʻi","interactions":[],"lastModifiedDate":"2024-03-27T20:16:20.553151","indexId":"70234126","displayToPublicDate":"2022-03-31T15:14:18","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Estimating soil moisture, actual evapotranspiration, climatic water deficit, and groundwater recharge during periods of drought for current and future climate conditions in Hawaiʻi","docAbstract":"Mid- and end-of-century climate projections for the Hawaiian Islands indicate that rainfall is projected to decrease across large areas. In areas affected by drought or where the future climate becomes drier, reduced groundwater recharge can affect freshwater availability. Reduced rainfall can also reduce soil moisture, which can increase the risk of wildfire. Cloud-water interception, or fog drip, is the process by which cloud-water droplets are captured on the leaves and branches of plants with some of the captured cloud water subsequently dripping to the ground. Studies in Hawaiʻi indicate that fog drip can contribute substantially to total precipitation and may have the potential to lessen the negative effects of drought or a drying climate on freshwater availability and wildfire risk. Wildfire danger assessments in the continental United States have used estimates of soil moisture, evapotranspiration, and climatic water deficit (that is, the evaporative demand that exceeds available water) to improve the identification of areas at risk for wildfires. In this study, water-budget models developed for the islands of Kauaʻi, Oʻahu, Molokaʻi, Maui, and Hawaiʻi were used to quantify the effects of severe drought, future climate conditions, and reducing or eliminating fog drip on groundwater recharge, soil moisture, evapotranspiration, and climatic water deficit. Island-wide summaries of groundwater recharge, soil moisture, evapotranspiration, and climatic water deficit were developed to (1) illustrate changes between recent, drought, and future climate conditions, (2) illustrate the effects of reducing or eliminating fog drip for recent, drought, and future climate conditions, and (3) highlight areas of increased potential risk for wildfire during drought and future climate conditions. The results of these analyses can be used by natural resource managers in Hawaiʻi.","language":"English","publisher":"Pacific Islands Climate Adaptation Science Center","usgsCitation":"Mair, A., and Oki, D.S., 2022, Estimating soil moisture, actual evapotranspiration, climatic water deficit, and groundwater recharge during periods of drought for current and future climate conditions in Hawaiʻi, 8 p.","productDescription":"8 p.","ipdsId":"IP-134041","costCenters":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"links":[{"id":427176,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":404656,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://cascprojects.org/#/project/4f8c650ae4b0546c0c397b48/580f8424e4b0f497e795ffe1"}],"country":"United 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\"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Mair, Alan 0000-0003-0302-6647 dmair@usgs.gov","orcid":"https://orcid.org/0000-0003-0302-6647","contributorId":4975,"corporation":false,"usgs":true,"family":"Mair","given":"Alan","email":"dmair@usgs.gov","affiliations":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"preferred":true,"id":847906,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Oki, Delwyn S. 0000-0002-6913-8804","orcid":"https://orcid.org/0000-0002-6913-8804","contributorId":221122,"corporation":false,"usgs":true,"family":"Oki","given":"Delwyn","email":"","middleInitial":"S.","affiliations":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"preferred":true,"id":847907,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70230167,"text":"fs20223012 - 2022 - Science and innovation for battling invasive carp","interactions":[],"lastModifiedDate":"2022-04-01T21:32:42.13862","indexId":"fs20223012","displayToPublicDate":"2022-03-31T14:47:37","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2022-3012","displayTitle":"Science and Innovation for Battling Invasive Carp","title":"Science and innovation for battling invasive carp","docAbstract":"

The U.S. Geological Survey (USGS) is the Federal Government’s independent research agency that conducts research to inform management of invasive species. Bighead, black, grass, and silver carp, which are native to China, were originally stocked in aquaculture facilities to control algae, snails, and vegetation. These species have invaded the Mississippi River and are now established throughout the lower and middle Mississippi River Basins and some of its large tributaries where they damage ecosystems and harm economies. A reproducing population of grass carp in Lake Erie is a risk to the $7 billion Great Lakes fishery. The USGS is leading research efforts on risk assessment and on early detection of new invasions. The USGS is also developing and evaluating harvest methods, barriers and deterrents, and baits/attractants to provide Federal and State management agencies the tools needed to manage and reduce populations of these species.

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Invasive Species Program Coordinator,
U.S. Geological Survey
12201 Sunrise Valley Drive
Reston, VA 20192

Contact Pubs Warehouse

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0000-0001-8434-0798 easmith@usgs.gov","orcid":"https://orcid.org/0000-0001-8434-0798","contributorId":1405,"corporation":false,"usgs":true,"family":"Smith","given":"Erik","email":"easmith@usgs.gov","middleInitial":"A.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":838988,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shaffer, Kimberly 0000-0001-9386-7671 kshaffer@usgs.gov","orcid":"https://orcid.org/0000-0001-9386-7671","contributorId":206648,"corporation":false,"usgs":true,"family":"Shaffer","given":"Kimberly","email":"kshaffer@usgs.gov","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":838989,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70254793,"text":"70254793 - 2022 - Searching for refuge: A framework for identifying site factors conferring resistance to climate-driven vegetation change","interactions":[],"lastModifiedDate":"2024-06-11T00:00:07.181476","indexId":"70254793","displayToPublicDate":"2022-03-31T10:44:41","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1399,"text":"Diversity and Distributions","active":true,"publicationSubtype":{"id":10}},"title":"Searching for refuge: A framework for identifying site factors conferring resistance to climate-driven vegetation change","docAbstract":"

Climate change is occurring at accelerated rates in high latitude regions such as Alaska, causing alterations in woody plant growth and associated ecosystem patterns and processes. Our aim is to assess the magnitude and speed that climate-induced changes in woody plant distribution and volume may be reduced and/or slowed by relatively static landscape features like physical characteristics (e.g. depth to gravel, mineral cover percent and slope degree) and/or edaphic properties (e.g. soil organic matter, soil pH and site wetness rating) that resist climate-vegetation responses

","language":"English","publisher":"Wiley","doi":"10.1111/ddi.13492","usgsCitation":"Raiho, A.M., Scharf, H.R., Roland, C., Swanson, D., Stehn, S., and Hooten, M., 2022, Searching for refuge: A framework for identifying site factors conferring resistance to climate-driven vegetation change: Diversity and Distributions, v. 28, no. 4, p. 793-809, https://doi.org/10.1111/ddi.13492.","productDescription":"17 p.","startPage":"793","endPage":"809","ipdsId":"IP-125156","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":448301,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ddi.13492","text":"Publisher Index Page"},{"id":429771,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -167.38734060890957,\n 68.95621753398166\n ],\n [\n -167.38734060890957,\n 61.5826118752729\n ],\n [\n -139.43812185890968,\n 61.5826118752729\n ],\n [\n -139.43812185890968,\n 68.95621753398166\n ],\n [\n -167.38734060890957,\n 68.95621753398166\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"28","issue":"4","noUsgsAuthors":false,"publicationDate":"2022-03-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Raiho, Ann M.","contributorId":171526,"corporation":false,"usgs":false,"family":"Raiho","given":"Ann","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":902885,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scharf, Henry R.","contributorId":206652,"corporation":false,"usgs":false,"family":"Scharf","given":"Henry","email":"","middleInitial":"R.","affiliations":[{"id":37371,"text":"Colorado State University, Department of Statistics","active":true,"usgs":false}],"preferred":false,"id":902886,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roland, Carl A.","contributorId":337638,"corporation":false,"usgs":false,"family":"Roland","given":"Carl A.","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":902591,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Swanson, David K.","contributorId":337640,"corporation":false,"usgs":false,"family":"Swanson","given":"David K.","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":902592,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stehn, Sarah E.","contributorId":337642,"corporation":false,"usgs":false,"family":"Stehn","given":"Sarah E.","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":902593,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hooten, Mevin 0000-0002-1614-723X mhooten@usgs.gov","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":2958,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin","email":"mhooten@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":12963,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO","active":true,"usgs":false}],"preferred":true,"id":902588,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70267789,"text":"70267789 - 2022 - Landscape geomorphology and local-riverine features influence Broad Whitefish (Coregonus nasus) spawning habitat suitability in Arctic Alaska","interactions":[],"lastModifiedDate":"2025-06-02T15:32:24.243098","indexId":"70267789","displayToPublicDate":"2022-03-31T10:26:51","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1471,"text":"Ecology of Freshwater Fish","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Landscape geomorphology and local-riverine features influence Broad Whitefish (Coregonus nasus) spawning habitat suitability in Arctic Alaska","title":"Landscape geomorphology and local-riverine features influence Broad Whitefish (Coregonus nasus) spawning habitat suitability in Arctic Alaska","docAbstract":"

Landscape-level geomorphic processes influence the spatial and temporal arrangement of fish habitats in freshwater ecosystems and fishes move across riverscapes, selecting a suite of habitats to maximise fitness. Here, we explore the influence of geomorphology on stream channel attributes and assess Broad Whitefish (Coregonus nasus) spawning habitat potential in the Colville River in Arctic Alaska. Using high-resolution digital surface models (5 m2), we quantified the stream network extent and summarised channel habitat attributes continuously across the drainage network. Next, we developed an intrinsic potential (IP) model for Broad Whitefish by using geomorphic channel parameters previously understood to be associated with spawning habitats (channel width, median substrate size and channel braiding) to estimate the potential of streams across the Colville River watershed to provide spawning habitat. Our model results show the majority of habitat with high IP (≥0.6) was located within the braided sections of the main channel, which encompass >1548 km, but only 2% of the total channel network. The IP model was tested by tracking radio-tagged Broad Whitefish using aerial surveys. Prespawn fish moved into the watershed starting mid-July and mostly used habitat with moderate to very high IP in the middle and lower watershed. Several individuals were relocated in smaller multichannels with vegetated bars that contained very low IP (≤0.2), suggesting that other factors, such as hyporheic flow, may also influence spawning habitat selection. Our study demonstrates that IP modelling offers a useful method to quantify spawning habitat potential in data-poor riverscapes, providing useful information for managers to assess potential anthropogenic impacts and develop conservation plans to protect essential Broad Whitefish habitat.

","language":"English","publisher":"Wiley","doi":"10.1111/eff.12657","usgsCitation":"Leppi, J., Falke, J.A., Rinella, D., Wipfli, M.S., Seitz, A., and Whitman, M.S., 2022, Landscape geomorphology and local-riverine features influence Broad Whitefish (Coregonus nasus) spawning habitat suitability in Arctic Alaska: Ecology of Freshwater Fish, v. 31, no. 4, p. 622-639, https://doi.org/10.1111/eff.12657.","productDescription":"18 p.","startPage":"622","endPage":"639","ipdsId":"IP-126724","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":490658,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/eff.12657","text":"Publisher Index Page"},{"id":489404,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -163.185772718535,\n 70.98799175474022\n ],\n [\n -163.185772718535,\n 66.54828717076046\n ],\n [\n -142.02222047339154,\n 66.54828717076046\n ],\n [\n -142.02222047339154,\n 70.98799175474022\n ],\n [\n -163.185772718535,\n 70.98799175474022\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"31","issue":"4","noUsgsAuthors":false,"publicationDate":"2022-03-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Leppi, Jason C.","contributorId":338571,"corporation":false,"usgs":false,"family":"Leppi","given":"Jason C.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":938899,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Falke, Jeffrey A. 0000-0002-6670-8250 jfalke@usgs.gov","orcid":"https://orcid.org/0000-0002-6670-8250","contributorId":5195,"corporation":false,"usgs":true,"family":"Falke","given":"Jeffrey","email":"jfalke@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":938900,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rinella, Daniel J.","contributorId":355579,"corporation":false,"usgs":false,"family":"Rinella","given":"Daniel J.","affiliations":[{"id":81169,"text":"Fish and Wildlife Field Conservation Office","active":true,"usgs":false}],"preferred":false,"id":938901,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wipfli, Mark S. 0000-0002-4856-6068 mwipfli@usgs.gov","orcid":"https://orcid.org/0000-0002-4856-6068","contributorId":1425,"corporation":false,"usgs":true,"family":"Wipfli","given":"Mark","email":"mwipfli@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":938898,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Seitz, Andrew C.","contributorId":264890,"corporation":false,"usgs":false,"family":"Seitz","given":"Andrew C.","affiliations":[{"id":6695,"text":"UAF","active":true,"usgs":false}],"preferred":false,"id":938902,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Whitman, Matthew S.","contributorId":338574,"corporation":false,"usgs":false,"family":"Whitman","given":"Matthew","email":"","middleInitial":"S.","affiliations":[{"id":81170,"text":"Arctic Field Office","active":true,"usgs":false}],"preferred":false,"id":938903,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70231281,"text":"70231281 - 2022 - 2021 Lake Michigan lake trout working group report","interactions":[],"lastModifiedDate":"2022-05-05T14:09:09.174741","indexId":"70231281","displayToPublicDate":"2022-03-31T09:04:30","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"seriesTitle":{"id":10747,"text":"Working Group Report","active":true,"publicationSubtype":{"id":3}},"title":"2021 Lake Michigan lake trout working group report","docAbstract":"

No abstract available.

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Lake ecosystems are shifting due to many drivers including climate change and landscape-scale habitat disturbance, diminishing their potential to support some fisheries. Walleye Sander vitreus (Mitchill) populations, which support recreational and tribal fisheries across North America, have declined in some lakes. Climate change, harvest, invasive species and concurrent increases in warm-water fishes (e.g. Centrarchidae) may have contributed to declines. To test the utility of an intensive management action to resist walleye loss, an experimental removal of ~285,000 centrarchids from a 33-ha lake over 4 years was conducted while monitoring the fish community response. Centrarchid abundance declined and yellow perch Perca flavescens (Mitchill) increased, yet no evidence of walleye recruitment was observed. These findings explore the feasibility of intensive resistance as a management strategy in supporting walleye facing environmental change and provide a platform for management discussions to move beyond resist strategies in the Resist-Accept-Direct (RAD) framework to navigate ecosystem change.

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The U.S. Geological Survey worked in cooperation with the New York State Department of Environmental Conservation to assess the potential sources of fecal contamination entering Patchogue and Bellport Bays, two embayments on the south shore of Suffolk County, Long Island, New York. Water samples are routinely collected by the New York State Department of Environmental Conservation in the bays and analyzed for fecal coliform bacteria, an indicator of fecal contamination, to determine the need for closure of shellfish beds for harvest and consumption. Fecal coliform and other bacteria are an indicator of the potential presence of pathogenic (disease-causing) bacteria. However, indicator bacteria alone cannot determine the biological or geographical sources of contamination; therefore, microbial source tracking was implemented to determine various biological sources of contamination. In addition, information such as the location, weather and season, and surrounding land use where a sample was collected help determine the geographical source and conveyance of land-based water to the embayment.

Analysis revealed that the most substantial source of fecal contamination to Patchogue and Bellport Bays was discharge from sites draining ponds and wetlands into the rivers and tributaries sampled, particularly during the summer months. Fecal coliform bacteria at sites where ponds and wetlands drain are increased by stormwater runoff, which is another substantial source of fecal contamination. Overall, canine- and waterfowl-associated bacterial contributions were prevalent in source samples in both bays. Human-associated markers were present in surface-water source samples and completely absent in receptor samples in Patchogue Bay. The Fireplace Neck receptor site in Bellport Bay had a human-associated marker present in the summer wet sample only. Human markers were detected at the sample site downstream from the Patchogue wastewater treatment plant but were associated with low fecal coliform concentrations, indicating that the wastewater treatment plant is not a likely source of fecal contamination to Patchogue Bay. The lack of human-associated marker detections within Patchogue and Bellport Bays in summer source samples coupled with low to no detections of fecal coliform, especially where small marinas are present in creeks and tributaries, suggest that boats do not substantially contribute fecal coliform bacteria to the bays. There was little evidence of groundwater-contributing fecal bacteria by direct discharge from the subsurface. Further, the sandy sediment alongside Patchogue and Bellport Bays is unlikely to contribute fecal coliform bacteria from the test host organisms when resuspended in the water column. A classification scheme was developed to convey the degree of fecal contamination to stakeholders and resource managers. Based on this classification scheme, the Corey Creek Near Middle Road, Patchogue River Near Division Street, and Swan River Mouth sampling sites were identified as locations that contribute substantial fecal contamination to Patchogue Bay. In Bellport Bay, the Culvert at Beaverdam Creek site was identified as the location contributing the most substantial fecal contamination.

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

","tableOfContents":"","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2022-03-30","noUsgsAuthors":false,"publicationDate":"2022-03-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Tagliaferri, Tristen N. 0000-0001-7408-7899 ttagliaferri@usgs.gov","orcid":"https://orcid.org/0000-0001-7408-7899","contributorId":5138,"corporation":false,"usgs":true,"family":"Tagliaferri","given":"Tristen","email":"ttagliaferri@usgs.gov","middleInitial":"N.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":839031,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fisher, Shawn C. 0000-0001-6324-1061 scfisher@usgs.gov","orcid":"https://orcid.org/0000-0001-6324-1061","contributorId":4843,"corporation":false,"usgs":true,"family":"Fisher","given":"Shawn","email":"scfisher@usgs.gov","middleInitial":"C.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":839032,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kephart, Christopher M. 0000-0002-3369-5596 ckephart@usgs.gov","orcid":"https://orcid.org/0000-0002-3369-5596","contributorId":1932,"corporation":false,"usgs":true,"family":"Kephart","given":"Christopher","email":"ckephart@usgs.gov","middleInitial":"M.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":839033,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cheung, Natalie 0000-0003-2987-0440 ncheung@usgs.gov","orcid":"https://orcid.org/0000-0003-2987-0440","contributorId":258429,"corporation":false,"usgs":true,"family":"Cheung","given":"Natalie","email":"ncheung@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":839034,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reed, Ariel P. 0000-0002-0792-5204","orcid":"https://orcid.org/0000-0002-0792-5204","contributorId":219992,"corporation":false,"usgs":true,"family":"Reed","given":"Ariel","email":"","middleInitial":"P.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":839035,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Welk, Robert J. 0000-0003-0852-5584 rwelk@usgs.gov","orcid":"https://orcid.org/0000-0003-0852-5584","contributorId":194109,"corporation":false,"usgs":true,"family":"Welk","given":"Robert","email":"rwelk@usgs.gov","middleInitial":"J.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":839036,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70230100,"text":"dr1151 - 2022 - Bed-material transport in the upper Esopus Creek watershed, Ulster and Greene Counties, New York, 2017–20","interactions":[],"lastModifiedDate":"2026-03-16T19:59:16.748023","indexId":"dr1151","displayToPublicDate":"2022-03-30T13:30:00","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":9318,"text":"Data Report","code":"DR","onlineIssn":"2771-9448","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1151","displayTitle":"Bed-Material Transport in the Upper Esopus Creek Watershed, Ulster and Greene Counties, New York, 2017–20","title":"Bed-material transport in the upper Esopus Creek watershed, Ulster and Greene Counties, New York, 2017–20","docAbstract":"

The U.S. Geological Survey, in cooperation with the Ashokan Watershed Stream Management Program, investigated the feasibility of bedload monitoring in the upper Esopus Creek watershed, Ulster and Greene Counties, New York, from 2017 to 2020. Traditional bedload samples were collected at two locations: Birch Creek at Big Indian, New York (station 013621955), and Stony Clove Creek at Jansen Road at Lanesville, New York (station 01362336), during two storms. Measured bedload-transport rates ranged from less than 1 to 37.2 short tons per day during the study period. Active and passive tracers were deployed in Stony Clove Creek at Jansen Road to measure bed-material displacement during storms. Accelerometers in the active tracers provided data on the initiation and duration of motion of bed material in the 128- to 190-millimeter size class (B-axis measurement of 175 millimeters). The active tracers were loosely placed on the streambed and were generally mobilized at streamflows of 130–375 cubic feet per second. Displacement of the passive tracers was measured five times and provided data on the variability of displacement of multiple-size classes of bed material by different streamflows. Passive-tracer data also indicated that particles larger than the opening of the Elwha sampler deployed for traditional sampling may have been in transport during sampling. Sediment-generated noise was not distinguishable from background stream noise in hydrophone recordings.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dr1151","collaboration":"Prepared in cooperation with the Ashokan Watershed Stream Management Program","usgsCitation":"Siemion, J., Antidormi, M.R., Bonville, D.B., Finkelstein, J., and Marineau, M., 2022, Bed-material transport in the upper Esopus Creek watershed, Ulster and Greene Counties, New York, 2017–20: U.S. Geological Survey Data Report 1151, 20 p., https://doi.org/10.3133/dr1151.","productDescription":"Report: vi, 20 p.; Data Release","numberOfPages":"20","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-130089","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":397770,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/dr/1151/coverthb.jpg"},{"id":397771,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/dr/1151/dr1151.pdf","text":"Report","size":"3.84 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Director, New York Water Science Center
U.S. Geological Survey
425 Jordan Road
Troy, NY 12180–8349

","tableOfContents":"","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2022-03-30","noUsgsAuthors":false,"publicationDate":"2022-03-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Siemion, Jason 0000-0001-5635-6469 jsiemion@usgs.gov","orcid":"https://orcid.org/0000-0001-5635-6469","contributorId":127562,"corporation":false,"usgs":true,"family":"Siemion","given":"Jason","email":"jsiemion@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":839023,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Antidormi, Michael R. 0000-0002-3967-1173 mantidormi@usgs.gov","orcid":"https://orcid.org/0000-0002-3967-1173","contributorId":150722,"corporation":false,"usgs":true,"family":"Antidormi","given":"Michael","email":"mantidormi@usgs.gov","middleInitial":"R.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":839024,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bonville, Donald B. 0000-0003-4480-9381","orcid":"https://orcid.org/0000-0003-4480-9381","contributorId":248849,"corporation":false,"usgs":true,"family":"Bonville","given":"Donald","email":"","middleInitial":"B.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":839025,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Finkelstein, Jason S. 0000-0002-7496-7236","orcid":"https://orcid.org/0000-0002-7496-7236","contributorId":202452,"corporation":false,"usgs":true,"family":"Finkelstein","given":"Jason S.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":839026,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Marineau, Mathieu D. 0000-0002-6568-0743 mmarineau@usgs.gov","orcid":"https://orcid.org/0000-0002-6568-0743","contributorId":4954,"corporation":false,"usgs":true,"family":"Marineau","given":"Mathieu","email":"mmarineau@usgs.gov","middleInitial":"D.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":839027,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70230091,"text":"ofr20221011 - 2022 - Comparison of computed flow through manually operated water control structures in Florida using theoretical versus calibrated coefficients","interactions":[],"lastModifiedDate":"2026-03-27T19:48:12.295844","indexId":"ofr20221011","displayToPublicDate":"2022-03-30T13:08:03","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2022-1011","displayTitle":"Comparison of Computed Flow Through Manually Operated Water Control Structures in Florida Using Theoretical Versus Calibrated Coefficients","title":"Comparison of computed flow through manually operated water control structures in Florida using theoretical versus calibrated coefficients","docAbstract":"

The U.S. Geological Survey (USGS) calculated discharge at 13 water control structures in Florida using theoretical equations and uncalibrated coefficients gathered from previous studies and typical textbook values for selected flow regimes and structure types. These discharges were compared to the real-time discharges calculated and published by the USGS from October 1, 2007, to September 30, 2019, using traditional methods and coefficients verified by direct discharge measurements. The theoretical and USGS-calculated daily mean discharges were compared at each structure for different flow regimes covering the entire range of discharges that occurred over the study period except those less than 10 cubic feet per second to avoid large percentage errors for small actual differences in discharge. The discharges were also not compared if (1) any alterations were made to the USGS discharge to account for factors such as debris or construction, (2) any values were missing throughout the day, (3) the flow regime changed during the day, or (4) the USGS discharge was estimated. The structures compared include a mixture of vertical lift and radial gates with free and submerged conditions for orifice and weir flow.

The study totals showed that the average absolute difference for all structures was 18.7 percent. Average percent differences ranged from −26.5 to 28.6 percent, and 4 of the 13 structures had average differences within 10 percent.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20221011","usgsCitation":"Ryan, P.J., and Hazelbaker, C.L., 2022, Comparison of computed flow through manually operated water control structures in Florida using theoretical versus calibrated coefficients: U.S. Geological Survey Open-File Report 2022–1011, 25 p., https://doi.org/10.3133/ofr20221011.","productDescription":"Report: vii, 25 p.; Data Release; Dataset","numberOfPages":"38","onlineOnly":"Y","ipdsId":"IP-129610","costCenters":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"links":[{"id":501757,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_112754.htm","linkFileType":{"id":5,"text":"html"}},{"id":397688,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2022/1011/coverthb.jpg"},{"id":397689,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2022/1011/ofr20221011.pdf","text":"Report","size":"3.35 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2022-1011"},{"id":397691,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2022/1011/ofr20221011.XML"},{"id":397692,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2022/1011/images"},{"id":397693,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9MHF0GD","text":"USGS data release","linkHelpText":"Data for the comparison of computed flow through manually operated water control structures in Florida using theoretical versus calibrated coefficients"},{"id":397695,"rank":6,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System database","linkHelpText":"—USGS water data for the Nation"},{"id":397885,"rank":7,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20221011/full","text":"Report","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Florida","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -82.9248046875,\n 28.70986084394286\n ],\n [\n -83.1884765625,\n 28.110748760633534\n ],\n [\n -82.33154296875,\n 26.03704188651584\n ],\n [\n -81.23291015625,\n 25.443274612305746\n ],\n [\n -80.13427734374999,\n 25.383735254706842\n ],\n [\n -79.73876953125,\n 26.725986812271756\n ],\n [\n -80.22216796875,\n 28.323724553546015\n ],\n [\n -81.03515625,\n 29.496987596535742\n ],\n [\n -83.38623046875,\n 29.49698759653577\n ],\n [\n -82.9248046875,\n 28.70986084394286\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Caribbean-Florida Water Science Center
U.S. Geological Survey
4446 Pet Lane, Suite 108
Lutz, FL 33559

Contact Pubs Warehouse

","tableOfContents":"","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2022-03-30","noUsgsAuthors":false,"publicationDate":"2022-03-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Ryan, Patrick J. 0000-0002-1490-4938 pryan@usgs.gov","orcid":"https://orcid.org/0000-0002-1490-4938","contributorId":203974,"corporation":false,"usgs":true,"family":"Ryan","given":"Patrick","email":"pryan@usgs.gov","middleInitial":"J.","affiliations":[{"id":5051,"text":"FLWSC-Orlando","active":true,"usgs":true},{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"preferred":true,"id":838974,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hazelbaker, Cody L. 0000-0001-5170-9149","orcid":"https://orcid.org/0000-0001-5170-9149","contributorId":265802,"corporation":false,"usgs":true,"family":"Hazelbaker","given":"Cody","email":"","middleInitial":"L.","affiliations":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"preferred":true,"id":838975,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ]}