{"pageNumber":"509","pageRowStart":"12700","pageSize":"25","recordCount":184617,"records":[{"id":70229771,"text":"70229771 - 2021 - Evidence for the use of mucus swabs to detect Renibacterium salmoninarum in brook trout","interactions":[],"lastModifiedDate":"2022-03-17T16:15:51.949754","indexId":"70229771","displayToPublicDate":"2021-04-12T11:08:19","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9113,"text":"Pathogens","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Evidence for the use of mucus swabs to detect Renibacterium salmoninarum in brook trout","title":"Evidence for the use of mucus swabs to detect Renibacterium salmoninarum in brook trout","docAbstract":"

Efforts to advance fish health diagnostics have been highlighted in many studies to improve the detection of pathogens in aquaculture facilities and wild fish populations. Typically, the detection of a pathogen has required sacrificing fish; however, many hatcheries have valuable and sometimes irreplaceable broodstocks, and lethal sampling is undesirable. Therefore, the development of non-lethal detection methods is a high priority. The goal of our study was to compare non-lethal sampling methods with standardized lethal kidney tissue sampling that is used to detect Renibacterium salmoninarum infections in salmonids. We collected anal, buccal, and mucus swabs (non-lethal qPCR) and kidney tissue samples (lethal DFAT) from 72 adult brook trout (Salvelinus fontinalis) reared at the Colorado Parks and Wildlife Pitkin Brood Unit and tested each sample to assess R. salmoninarum infections. Standard kidney tissue detected R. salmoninarum 1.59 times more often than mucus swabs, compared to 10.43 and 13.16 times more often than buccal or anal swabs, respectively, indicating mucus swabs were the most effective and may be a useful non-lethal method. Our study highlights the potential of non-lethal mucus swabs to sample for R. salmoninarum and suggests future studies are needed to refine this technique for use in aquaculture facilities and wild populations of inland salmonids.

","language":"English","publisher":"MDPI","doi":"10.3390/pathogens10040460","usgsCitation":"Riepe, T., Vincent, V., Milano, V., Fetherman, E., and Winkelman, D.L., 2021, Evidence for the use of mucus swabs to detect Renibacterium salmoninarum in brook trout: Pathogens, v. 10, no. 4, 460, 8 p., https://doi.org/10.3390/pathogens10040460.","productDescription":"460, 8 p.","ipdsId":"IP-127535","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":452703,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/pathogens10040460","text":"Publisher Index Page"},{"id":397256,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"4","noUsgsAuthors":false,"publicationDate":"2021-04-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Riepe, Tawni B.","contributorId":288699,"corporation":false,"usgs":false,"family":"Riepe","given":"Tawni B.","affiliations":[{"id":13606,"text":"CSU","active":true,"usgs":false}],"preferred":false,"id":838236,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vincent, Victoria","contributorId":288701,"corporation":false,"usgs":false,"family":"Vincent","given":"Victoria","email":"","affiliations":[{"id":36246,"text":"CPW","active":true,"usgs":false}],"preferred":false,"id":838237,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Milano, Vicki","contributorId":288702,"corporation":false,"usgs":false,"family":"Milano","given":"Vicki","email":"","affiliations":[{"id":36246,"text":"CPW","active":true,"usgs":false}],"preferred":false,"id":838238,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fetherman, Eric R.","contributorId":288704,"corporation":false,"usgs":false,"family":"Fetherman","given":"Eric R.","affiliations":[{"id":36246,"text":"CPW","active":true,"usgs":false}],"preferred":false,"id":838239,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Winkelman, Dana L. 0000-0002-5247-0114 danaw@usgs.gov","orcid":"https://orcid.org/0000-0002-5247-0114","contributorId":4141,"corporation":false,"usgs":true,"family":"Winkelman","given":"Dana","email":"danaw@usgs.gov","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":838235,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70219529,"text":"70219529 - 2021 - The effects of urban land cover dynamics on urban heat Island intensity and temporal trends","interactions":[],"lastModifiedDate":"2021-06-30T18:29:22.544721","indexId":"70219529","displayToPublicDate":"2021-04-12T08:25:22","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":8118,"text":"GIScience & Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"The effects of urban land cover dynamics on urban heat Island intensity and temporal trends","docAbstract":"

Assessments of surface urban heat island (UHI) have focused on using remote sensing and land cover data to quantify UHI intensity and spatial distribution within a certain time period by including land cover information. In this study, we implemented a prototype approach to characterize the spatiotemporal variations of UHI using time series of Landsat land surface temperature products and annual land change information. We analyzed UHI distribution and change in Sioux Falls, South Dakota, in the north-central United States and found that the mean UHI intensity in the region was as large as 2.2°C during the period 1986–2017 with an increasing trend of 0.02°C per year within the area with a 5-km non-urban extent. The UHI intensity associated with high intensity urban land cover usually is stronger than with low intensity urban land cover. We evaluated the impact of different non-urban reference extents on UHI variation using different non-urban buffers. The result also suggests that the overall temporal trends of UHI intensity are almost the same when using a 5-km or 10-km non-urban buffer surrounding the urban core. The prototype approach provides a framework to consistently quantify UHI and monitor its change to a large geographic extent.

","language":"English","publisher":"Taylor & Francis","doi":"10.1080/15481603.2021.1903282","usgsCitation":"Xian, G.Z., Shi, H., Auch, R.F., Gallo, K., Zhou, Q., Wu, Z., and Kolian, M., 2021, The effects of urban land cover dynamics on urban heat Island intensity and temporal trends: GIScience & Remote Sensing, v. 58, no. 4, p. 501-515, https://doi.org/10.1080/15481603.2021.1903282.","productDescription":"15 p.","startPage":"501","endPage":"515","ipdsId":"IP-121520","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":499916,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doaj.org/article/b74f3081aca04fe1b1b49320295d5bfd","text":"External Repository"},{"id":385061,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Dakota","city":"Sioux Falls","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -96.95571899414062,\n 43.34365692013493\n ],\n [\n -96.46408081054688,\n 43.34365692013493\n ],\n [\n -96.46408081054688,\n 43.712556891207\n ],\n [\n -96.95571899414062,\n 43.712556891207\n ],\n [\n -96.95571899414062,\n 43.34365692013493\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"58","issue":"4","noUsgsAuthors":false,"publicationDate":"2021-04-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Xian, George Z. 0000-0001-5674-2204","orcid":"https://orcid.org/0000-0001-5674-2204","contributorId":238919,"corporation":false,"usgs":true,"family":"Xian","given":"George","email":"","middleInitial":"Z.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":814061,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shi, Hua 0000-0001-7013-1565 hshi@usgs.gov","orcid":"https://orcid.org/0000-0001-7013-1565","contributorId":646,"corporation":false,"usgs":true,"family":"Shi","given":"Hua","email":"hshi@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":814062,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Auch, Roger F. 0000-0002-5382-5044 auch@usgs.gov","orcid":"https://orcid.org/0000-0002-5382-5044","contributorId":667,"corporation":false,"usgs":true,"family":"Auch","given":"Roger","email":"auch@usgs.gov","middleInitial":"F.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":814063,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gallo, Kevin 0000-0001-9162-5011","orcid":"https://orcid.org/0000-0001-9162-5011","contributorId":257326,"corporation":false,"usgs":false,"family":"Gallo","given":"Kevin","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":814064,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zhou, Qiang 0000-0002-1282-8177","orcid":"https://orcid.org/0000-0002-1282-8177","contributorId":223103,"corporation":false,"usgs":true,"family":"Zhou","given":"Qiang","email":"","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":814065,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wu, Zhuoting 0000-0001-7393-1832 zwu@usgs.gov","orcid":"https://orcid.org/0000-0001-7393-1832","contributorId":4953,"corporation":false,"usgs":true,"family":"Wu","given":"Zhuoting","email":"zwu@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":498,"text":"Office of Land Remote Sensing (Geography)","active":true,"usgs":true}],"preferred":true,"id":814066,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kolian, Michael 0000-0002-7134-8317","orcid":"https://orcid.org/0000-0002-7134-8317","contributorId":257327,"corporation":false,"usgs":false,"family":"Kolian","given":"Michael","email":"","affiliations":[{"id":12772,"text":"USEPA","active":true,"usgs":false}],"preferred":false,"id":814067,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70220572,"text":"70220572 - 2021 - Foraging in marine habitats increases mercury concentrations in a generalist seabird","interactions":[],"lastModifiedDate":"2021-05-20T12:06:36.25717","indexId":"70220572","displayToPublicDate":"2021-04-12T07:21:38","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1226,"text":"Chemosphere","active":true,"publicationSubtype":{"id":10}},"title":"Foraging in marine habitats increases mercury concentrations in a generalist seabird","docAbstract":"

Methylmercury concentrations vary widely across geographic space and among habitat types, with marine and aquatic-feeding organisms typically exhibiting higher mercury concentrations than terrestrial-feeding organisms. However, there are few model organisms to directly compare mercury concentrations as a result of foraging in marine, estuarine, or terrestrial food webs. The ecological impacts of differential foraging may be especially important for generalist species that exhibit high plasticity in foraging habitats, locations, or diet. Here, we investigate whether foraging habitat, sex, or fidelity to a foraging area impact blood mercury concentrations in western gulls (Larus occidentalis) from three colonies on the US west coast. Cluster analyses showed that nearly 70% of western gulls foraged primarily in ocean or coastal habitats, whereas the remaining gulls foraged in terrestrial and freshwater habitats. Gulls that foraged in ocean or coastal habitats for half or more of their foraging locations had 55% higher mercury concentrations than gulls that forage in freshwater and terrestrial habitats. Ocean-foraging gulls also had lower fidelity to a specific foraging area than freshwater and terrestrial-foraging gulls, but fidelity and sex were unrelated to gull blood mercury concentrations in all models. These findings support existing research that has described elevated mercury levels in species using aquatic habitats. Our analyses also demonstrate that gulls can be used to detect differences in contaminant exposure over broad geographic scales and across coarse habitat types, a factor that may influence gull health and persistence of other populations that forage across the land-sea gradient.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.chemosphere.2021.130470","usgsCitation":"Clatterbuck, C.A., Lewison, R.L., Orben, R.A., Ackerman, J.T., Torres, L., Suryan, R.M., Warzybok, P., Jahncke, J., and Shaffer, S.A., 2021, Foraging in marine habitats increases mercury concentrations in a generalist seabird: Chemosphere, v. 279, 130470, 9 p., https://doi.org/10.1016/j.chemosphere.2021.130470.","productDescription":"130470, 9 p.","ipdsId":"IP-125235","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":452708,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.chemosphere.2021.130470","text":"Publisher Index Page"},{"id":436411,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P92PFAXS","text":"USGS data release","linkHelpText":"Mercury Concentrations in Western Gulls along the West Coast, USA, 2015-2017"},{"id":385751,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Oregon","otherGeospatial":"Cleft-in-Rock, Hunters Island, Farallon Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -125.06835937499997,\n 36.70365959719453\n ],\n [\n -122.69531249999997,\n 36.70365959719453\n ],\n [\n -122.69531249999997,\n 44.465151013519616\n ],\n [\n -125.06835937499997,\n 44.465151013519616\n ],\n [\n -125.06835937499997,\n 36.70365959719453\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"279","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Clatterbuck, Corey A. 0000-0003-1351-8565","orcid":"https://orcid.org/0000-0003-1351-8565","contributorId":202763,"corporation":false,"usgs":false,"family":"Clatterbuck","given":"Corey","email":"","middleInitial":"A.","affiliations":[{"id":24620,"text":"San Jose State University","active":true,"usgs":false}],"preferred":false,"id":816048,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lewison, Rebecca L.","contributorId":194537,"corporation":false,"usgs":false,"family":"Lewison","given":"Rebecca","email":"","middleInitial":"L.","affiliations":[{"id":6608,"text":"San Diego State University","active":true,"usgs":false}],"preferred":false,"id":816049,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Orben, Rachael A 0000-0002-0802-407X","orcid":"https://orcid.org/0000-0002-0802-407X","contributorId":221851,"corporation":false,"usgs":false,"family":"Orben","given":"Rachael","email":"","middleInitial":"A","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":816050,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ackerman, Joshua T. 0000-0002-3074-8322","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":202848,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua","middleInitial":"T.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":816051,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Torres, Leigh G 0000-0002-2643-3950","orcid":"https://orcid.org/0000-0002-2643-3950","contributorId":258229,"corporation":false,"usgs":false,"family":"Torres","given":"Leigh G","affiliations":[{"id":52257,"text":"Marine Mammal Institute, Department of Fisheries and Wildlife, Oregon State University, Newport, OR, USA","active":true,"usgs":false}],"preferred":false,"id":816052,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Suryan, Robert M. 0000-0003-0755-8317","orcid":"https://orcid.org/0000-0003-0755-8317","contributorId":221852,"corporation":false,"usgs":false,"family":"Suryan","given":"Robert","email":"","middleInitial":"M.","affiliations":[{"id":40443,"text":"Oregon State University, NOAA","active":true,"usgs":false}],"preferred":false,"id":816053,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Warzybok, Peter","contributorId":198612,"corporation":false,"usgs":false,"family":"Warzybok","given":"Peter","email":"","affiliations":[],"preferred":false,"id":816054,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jahncke, Jaime","contributorId":152294,"corporation":false,"usgs":false,"family":"Jahncke","given":"Jaime","email":"","affiliations":[{"id":18899,"text":"Point Blue Conservation Science; GFNMS SAC","active":true,"usgs":false}],"preferred":false,"id":816055,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Shaffer, Scott A. 0000-0002-7751-5059","orcid":"https://orcid.org/0000-0002-7751-5059","contributorId":202761,"corporation":false,"usgs":false,"family":"Shaffer","given":"Scott","email":"","middleInitial":"A.","affiliations":[{"id":24620,"text":"San Jose State University","active":true,"usgs":false}],"preferred":false,"id":816056,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70223916,"text":"70223916 - 2021 - Linking climate niches across seasons to assess population vulnerability in a migratory bird","interactions":[],"lastModifiedDate":"2021-09-14T12:10:31.197423","indexId":"70223916","displayToPublicDate":"2021-04-12T07:05:24","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Linking climate niches across seasons to assess population vulnerability in a migratory bird","docAbstract":"

Global loss of biodiversity has placed new urgency on the need to understand factors regulating species response to rapid environmental change. While specialists are often less resilient to rapid environmental change than generalists, species-level analyses may obscure the extent of specialization when locally adapted populations vary in climate tolerances. Until recently, quantification of the degree of climate specialization in migratory birds below the species level was hindered by a lack of genomic and tracking information, but recent technological advances have helped to overcome these barriers. Here we take a genome-wide genetic approach to mapping population-specific migratory routes and quantifying niche breadth within genetically distinct populations of a migratory bird, the willow flycatcher (Empidonax traillii), which exhibits variation in the severity of population declines across its breeding range. While our sample size is restricted to the number of genetically distinct populations within the species, our results support the idea that locally adapted populations of the willow flycatcher with narrow climatic niches across seasons are already federally listed as endangered or in steep decline, while populations with broader climatic niches have remained stable in recent decades. Overall, this work highlights the value of quantifying niche breadth within genetically distinct groups across time and space when attempting to understand the factors that facilitate or constrain the response of locally adapted populations to rapid environmental change.

","language":"English","publisher":"Wiley","doi":"10.1111/gcb.15639","usgsCitation":"Ruegg, K., Anderson, E., Somveille, M., Bay, R.A., Whitfield, M.J., Paxton, E.H., and Smith, T.B., 2021, Linking climate niches across seasons to assess population vulnerability in a migratory bird: Global Change Biology, v. 27, no. 15, p. 3519-3531, https://doi.org/10.1111/gcb.15639.","productDescription":"13 p.","startPage":"3519","endPage":"3531","ipdsId":"IP-124420","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":452710,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://ueaeprints.uea.ac.uk/id/eprint/96049/1/GCB_21_0242_Proof_fl.pdf","text":"External Repository"},{"id":389204,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, Mexico, United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n 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California Los Angeles","active":true,"usgs":false}],"preferred":false,"id":823239,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Whitfield, Mary J.","contributorId":174933,"corporation":false,"usgs":false,"family":"Whitfield","given":"Mary","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":823240,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Paxton, Eben H. 0000-0001-5578-7689","orcid":"https://orcid.org/0000-0001-5578-7689","contributorId":19640,"corporation":false,"usgs":true,"family":"Paxton","given":"Eben","email":"","middleInitial":"H.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":823241,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Smith, Thomas B.","contributorId":206223,"corporation":false,"usgs":false,"family":"Smith","given":"Thomas","email":"","middleInitial":"B.","affiliations":[{"id":33607,"text":"University of California Los Angeles","active":true,"usgs":false}],"preferred":false,"id":823242,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70219473,"text":"sir20215006 - 2021 - Regression relations and long-term water-quality constituent concentrations, loads, yields, and trends in the North Fork Ninnescah River, south-central Kansas, 1999–2019","interactions":[],"lastModifiedDate":"2021-04-13T11:49:44.944511","indexId":"sir20215006","displayToPublicDate":"2021-04-12T06:54:54","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2021-5006","displayTitle":"Regression Relations and Long-Term Water-Quality Constituent Concentrations, Loads, Yields, and Trends in the North Fork Ninnescah River, South-Central Kansas, 1999–2019","title":"Regression relations and long-term water-quality constituent concentrations, loads, yields, and trends in the North Fork Ninnescah River, south-central Kansas, 1999–2019","docAbstract":"

Cheney Reservoir, in south-central Kansas, is the primary water supply for the city of Wichita, Kansas. The North Fork Ninnescah River is the largest tributary to Cheney Reservoir and contributes about 70 percent of the inflow. The U.S. Geological Survey, in cooperation with the City of Wichita, has been continuously monitoring water quality (including water temperature, specific conductance, pH, dissolved oxygen, and turbidity) on the North Fork Ninnescah River upstream from Cheney Reservoir (U.S. Geological Survey site 07144780) since November 1998. Continued data collection would be beneficial to update and describe changing water-quality conditions in the drainage basin and in the reservoir over time.

Regression models were developed to describe relations between discretely measured constituent concentrations and continuously measured physical properties. The models updated in this report include total suspended solids (TSS), suspended-sediment concentration (SSC), nitrate plus nitrite, nitrate, orthophosphate (OP), total phosphorus (TP), and total organic carbon (TOC).

Daily computed concentrations for TSS, TP, and nitrate plus nitrite during 1999–2019 were compared with Cheney Reservoir Task Force (CRTF) goals for base-flow and runoff conditions. CRTF goals for base-flow concentrations were exceeded more frequently (70 to 99.9 percent of the time) than runoff goals (0 to 11 percent of the time). Except for 2012, annual mean TSS concentrations exceeded the base-flow goal every year. Nitrate plus nitrite and TP annual mean concentrations exceeded the base-flow goals every year. TSS and nitrate plus nitrite annual mean concentrations during runoff conditions never exceeded the CRTF runoff goal. TP annual mean concentrations during runoff conditions only exceeded the CRTF runoff goal during 2002.

Sedimentation is progressively reducing the storage capacity of Cheney Reservoir. During 1999–2019, 55 percent of the computed suspended-sediment load was transported during the top 1 percent of loading days (76 days); 22 percent of the total load was transported in the top 10 loading days, indicating that substantial parts of suspended-sediment loads continue to be delivered during disproportionately small periods in Cheney Reservoir. Successful sediment management efforts necessitate reduction techniques that account for these large load events.

Flow-normalized concentrations and fluxes were computed during 1999 through 2019 using Weighted Regressions on Time, Discharge, and Season (WRTDS) statistical models and WRTDS bootstrap tests. Flow-normalized concentrations of TSS, SSC, OP, TP, and TOC had upward trend probabilities; conversely, nitrate plus nitrite had a downward trend. Flow-normalized fluxes for OP, TP, and TOC had an upward trend. No discernible patterns were identified for flow-normalized flux of TSS or suspended sediment. Nitrate plus nitrite flow-normalized flux indicated a downward trend.

Flow-normalized concentrations for TSS were less than the CRTF long-term goal of 100 milligrams per liter (mg/L), but the upward trend indicated the long-term goal may be exceeded if no changes are made. Flow-normalized TP concentrations exceeded the CRTF long-term goal (0.1 mg/L) and were assigned a very likely upward trend. Flow-normalized nitrate plus nitrite concentrations exceeded the CRTF long-term goal of 1.2 mg/L during the beginning of the study period, then were less than the CRTF goal for the remainder of the study; however, during 2010–19 flow-normalized concentrations increased by 6 percent.

Linking water-quality changes to causal factors requires consistent monitoring before, during, and after changes; this presents challenges related to length and frequency of data collection and available concomitant land-use and conservation practice data. As such, attribution of water-quality trends to land-use changes or conservation practices was not possible for this study because of a lack of land-use and conservation practice data. Additionally, because precipitation frequency and intensity are projected to continue to increase in the Great Plains region, accounting for extreme episodic events may be an important consideration in future sediment and nutrient load reduction plans.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20215006","collaboration":"Prepared in cooperation with the City of Wichita","usgsCitation":"Kramer, A.R., Klager, B.J., Stone, M.L., and Eslick-Huff, P.J., 2021, Regression relations and long-term water-quality constituent concentrations, loads, yields, and trends in the North Fork Ninnescah River, south-central Kansas, 1999–2019: U.S. Geological Survey Scientific Investigations Report 2021–5006, 51 p., https://doi.org/10.3133/sir20215006.","productDescription":"Report: ix, 51 p.; Appendixes: 24; Dataset","numberOfPages":"66","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-118868","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":384937,"rank":3,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"U.S. Geological Survey National Water Information System database","description":"USGS Dataset","linkHelpText":"— USGS water data for the Nation"},{"id":384935,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2021/5006/coverthb.jpg"},{"id":384936,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2021/5006/sir20215006.pdf","text":"Report","size":"3.80 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021–5006"},{"id":384938,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2021/5006/downloads/","text":"Appendixes 1–24","description":"SIR 2021–5006 Appendixes 1–24"}],"country":"United States","state":"Kansas","otherGeospatial":"North Fork Ninnescah River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -98.7176513671875,\n 37.60987994374712\n ],\n [\n -97.3663330078125,\n 37.60987994374712\n ],\n [\n -97.3663330078125,\n 38.238180119798635\n ],\n [\n -98.7176513671875,\n 38.238180119798635\n ],\n [\n -98.7176513671875,\n 37.60987994374712\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Kansas Water Science Center
1217 Biltmore Drive
Lawrence, KS 66049

","tableOfContents":"","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2021-04-12","noUsgsAuthors":false,"publicationDate":"2021-04-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Kramer, Ariele R. 0000-0002-7075-3310 akramer@usgs.gov","orcid":"https://orcid.org/0000-0002-7075-3310","contributorId":185245,"corporation":false,"usgs":true,"family":"Kramer","given":"Ariele","email":"akramer@usgs.gov","middleInitial":"R.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":813710,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Klager, Brian J. 0000-0001-8361-6043 bklager@usgs.gov","orcid":"https://orcid.org/0000-0001-8361-6043","contributorId":5543,"corporation":false,"usgs":true,"family":"Klager","given":"Brian","email":"bklager@usgs.gov","middleInitial":"J.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":813711,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stone, Mandy L. 0000-0002-6711-1536 mstone@usgs.gov","orcid":"https://orcid.org/0000-0002-6711-1536","contributorId":4409,"corporation":false,"usgs":true,"family":"Stone","given":"Mandy","email":"mstone@usgs.gov","middleInitial":"L.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":813712,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eslick-Huff, Patrick J. 0000-0003-2611-6012","orcid":"https://orcid.org/0000-0003-2611-6012","contributorId":257038,"corporation":false,"usgs":true,"family":"Eslick-Huff","given":"Patrick","email":"","middleInitial":"J.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":813713,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70219571,"text":"70219571 - 2021 - Abundance of a recently discovered Alaskan rhodolith bed in a shallow, seagrass-dominated lagoon","interactions":[],"lastModifiedDate":"2021-05-13T15:47:15.589885","indexId":"70219571","displayToPublicDate":"2021-04-12T06:48:30","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1069,"text":"Botanica Marina","active":true,"publicationSubtype":{"id":10}},"title":"Abundance of a recently discovered Alaskan rhodolith bed in a shallow, seagrass-dominated lagoon","docAbstract":"Rhodoliths are important foundation species of the benthic photic zone but are poorly known and rarely studied in Alaska. A bed of Lithothamnion soriferum rhodoliths was discovered in 2008 in Kinzarof Lagoon, Alaska, a shallow-water embayment dominated by eelgrass (Zostera marina). Rhodolith presence and biomass were estimated to assess trends and environmental factors that may influence rhodolith distribution and abundance during 4 years spread over a 12-year period (2008–2010, and 2019). Rhodolith presence and biomass were positively associated with percent seaweed cover, as most rhodoliths and seaweeds occurred in subtidal areas, and negatively associated with percent eelgrass cover. Rhodoliths occurred in two primary areas of the lagoon, a 182-ha core area in a shallow water (mean tide depth of -0.03 m MLLW) tidal channel with low eelgrass density, and a 22-ha outlying area at shallower water depths (>0.2 m MLLW) with moderate to high eelgrass cover. There was no apparent trend in rhodolith biomass over the study period despite wide variation in mean annual estimates. This study establishes a baseline for continued investigations and monitoring of this important benthic resource in Alaska.","language":"English","publisher":"Walter de Gruyter","doi":"10.1515/bot-2020-0072","usgsCitation":"Ward, D.H., Amundson, C., Fitzmorris, P., Menning, D.M., Markis, J., Sowl, K.M., and Lindstrom, S.C., 2021, Abundance of a recently discovered Alaskan rhodolith bed in a shallow, seagrass-dominated lagoon: Botanica Marina, v. 64, no. 2, p. 119-127, https://doi.org/10.1515/bot-2020-0072.","productDescription":"9 p.","startPage":"119","endPage":"127","ipdsId":"IP-120006","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":385073,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Kinzarof Lagoon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -162.6328468322754,\n 55.27403067982278\n ],\n [\n -162.56675720214844,\n 55.27921306663861\n ],\n [\n -162.5598907470703,\n 55.28683874542267\n ],\n [\n -162.56298065185547,\n 55.30013129739357\n ],\n [\n -162.58855819702148,\n 55.30110851519261\n ],\n [\n -162.60984420776367,\n 55.30335602478241\n ],\n [\n -162.63782501220703,\n 55.30648278283089\n ],\n [\n -162.6687240600586,\n 55.29680857682341\n ],\n [\n -162.69515991210938,\n 55.27383510481281\n ],\n [\n -162.6858901977539,\n 55.27315058469293\n ],\n [\n -162.6328468322754,\n 55.27403067982278\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"64","issue":"2","noUsgsAuthors":false,"publicationDate":"2021-04-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Ward, David H. 0000-0002-5242-2526 dward@usgs.gov","orcid":"https://orcid.org/0000-0002-5242-2526","contributorId":3247,"corporation":false,"usgs":true,"family":"Ward","given":"David","email":"dward@usgs.gov","middleInitial":"H.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":814206,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Amundson, Courtney","contributorId":257417,"corporation":false,"usgs":false,"family":"Amundson","given":"Courtney","affiliations":[{"id":40349,"text":"USGS Alaska Science Center (former employee)","active":true,"usgs":false}],"preferred":false,"id":814207,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fitzmorris, Patrick","contributorId":222725,"corporation":false,"usgs":false,"family":"Fitzmorris","given":"Patrick","email":"","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":814208,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Menning, Damian M. 0000-0003-3547-3062 dmenning@usgs.gov","orcid":"https://orcid.org/0000-0003-3547-3062","contributorId":205131,"corporation":false,"usgs":true,"family":"Menning","given":"Damian","email":"dmenning@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":814209,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Markis, Joel","contributorId":257418,"corporation":false,"usgs":false,"family":"Markis","given":"Joel","email":"","affiliations":[{"id":16298,"text":"University of Alaska Southeast","active":true,"usgs":false}],"preferred":false,"id":814210,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sowl, Kristine M.","contributorId":60372,"corporation":false,"usgs":false,"family":"Sowl","given":"Kristine","email":"","middleInitial":"M.","affiliations":[{"id":12598,"text":"Izembek National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":814211,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lindstrom, Sandra C.","contributorId":242967,"corporation":false,"usgs":false,"family":"Lindstrom","given":"Sandra","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":814212,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70228933,"text":"70228933 - 2021 - Predicted vulnerability of carbon in permafrost peatlands With future climate change and permafrost thaw in western Canada","interactions":[],"lastModifiedDate":"2022-02-24T16:46:30.721997","indexId":"70228933","displayToPublicDate":"2021-04-11T10:39:34","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9326,"text":"JGR Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Predicted vulnerability of carbon in permafrost peatlands With future climate change and permafrost thaw in western Canada","docAbstract":"

Climate warming in high-latitude regions is thawing carbon-rich permafrost soils, which can release carbon to the atmosphere and enhance climate warming. Using a coupled model of long-term peatland dynamics (Holocene Peat Model, HPM-Arctic), we quantify the potential loss of carbon with future climate warming for six sites with differing climates and permafrost histories in Northwestern Canada. We compared the net carbon balance at 2100 CE resulting from new productivity and the decomposition of active layer and newly thawed permafrost peats under RCP8.5 as a high-end constraint. Modeled net carbon losses ranged from −3.0 kg C m−2 (net loss) to +0.1 kg C m−2 (net gain) between 2015 and 2100. Losses of newly thawed permafrost peat comprised 0.2%–25% (median: 1.6%) of “old” C loss, which were related to the residence time of peat in the active layer before being incorporated into the permafrost, peat temperature, and presence of permafrost. The largest C loss was from the permafrost-free site, not from permafrost sites. C losses were greatest from depths of 0.2–1.0 m. New C added to the profile through net primary productivity between 2015 and 2100 offset ∼40% to >100% of old C losses across the sites. Differences between modeled active layer deepening and flooding following permafrost thaw resulted in very small differences in net C loss by 2100, illustrating the important role of present-day conditions and permafrost aggradation history in controlling net C loss.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2020JG005872","usgsCitation":"Treat, C.C., Jones, M.C., Alder, J.R., Sannel, A.B., Camill, P., and Frolking, S., 2021, Predicted vulnerability of carbon in permafrost peatlands With future climate change and permafrost thaw in western Canada: JGR Biogeosciences, v. 126, e2020JG005872, 17 p., https://doi.org/10.1029/2020JG005872.","productDescription":"e2020JG005872, 17 p.","ipdsId":"IP-119562","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":452714,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://orcid.org/0000-0002-1225-8178","text":"Publisher Index Page"},{"id":396431,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","otherGeospatial":"western Canada","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -133.06640625,\n 51.67255514839674\n ],\n [\n -86.66015624999999,\n 51.67255514839674\n ],\n [\n -86.66015624999999,\n 70.19999407534661\n ],\n [\n -133.06640625,\n 70.19999407534661\n ],\n [\n -133.06640625,\n 51.67255514839674\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"126","noUsgsAuthors":false,"publicationDate":"2021-05-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Treat, Claire C.","contributorId":150798,"corporation":false,"usgs":false,"family":"Treat","given":"Claire","email":"","middleInitial":"C.","affiliations":[{"id":18105,"text":"University of New Hampshire, Durham","active":true,"usgs":false}],"preferred":false,"id":835955,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Miriam C. 0000-0002-6650-7619","orcid":"https://orcid.org/0000-0002-6650-7619","contributorId":257239,"corporation":false,"usgs":true,"family":"Jones","given":"Miriam","email":"","middleInitial":"C.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":835956,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alder, Jay R. 0000-0003-2378-2853 jalder@usgs.gov","orcid":"https://orcid.org/0000-0003-2378-2853","contributorId":5118,"corporation":false,"usgs":true,"family":"Alder","given":"Jay","email":"jalder@usgs.gov","middleInitial":"R.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":835957,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sannel, A. Britta K. 0000-0002-1350-6516","orcid":"https://orcid.org/0000-0002-1350-6516","contributorId":223672,"corporation":false,"usgs":false,"family":"Sannel","given":"A.","email":"","middleInitial":"Britta K.","affiliations":[{"id":24562,"text":"Stockholm University","active":true,"usgs":false}],"preferred":false,"id":835990,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Camill, Philip","contributorId":176994,"corporation":false,"usgs":false,"family":"Camill","given":"Philip","email":"","affiliations":[],"preferred":false,"id":835991,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Frolking, Steve","contributorId":7638,"corporation":false,"usgs":true,"family":"Frolking","given":"Steve","email":"","affiliations":[],"preferred":false,"id":835992,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70224339,"text":"70224339 - 2021 - A tribute to Edward Perry Glenn (1947–2017), who created a legacy of environmental assessment and applications within hydrological processes","interactions":[],"lastModifiedDate":"2021-09-23T12:11:09.772239","indexId":"70224339","displayToPublicDate":"2021-04-11T07:10:11","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"A tribute to Edward Perry Glenn (1947–2017), who created a legacy of environmental assessment and applications within hydrological processes","docAbstract":"

This issue of Hydrological Processes is dedicated to Dr. Edward P. Glenn, a frequent contributor to the journal, who suddenly passed away in late 2017. The articles within this volume are by a number of his former co-authors and others who have been greatly influenced by his professional work on hydrological processes.

","language":"English","publisher":"Wiley","doi":"10.1002/hyp.14173","usgsCitation":"Nagler, P.L., Chew, M.K., Fitzsimmons, K., and van Riper, C., 2021, A tribute to Edward Perry Glenn (1947–2017), who created a legacy of environmental assessment and applications within hydrological processes: Hydrological Processes, v. 35, no. 5, e14173, 4 p., https://doi.org/10.1002/hyp.14173.","productDescription":"e14173, 4 p.","ipdsId":"IP-128269","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":389633,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","issue":"5","noUsgsAuthors":false,"publicationDate":"2021-05-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Nagler, Pamela L. 0000-0003-0674-103X pnagler@usgs.gov","orcid":"https://orcid.org/0000-0003-0674-103X","contributorId":1398,"corporation":false,"usgs":true,"family":"Nagler","given":"Pamela","email":"pnagler@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":823822,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chew, Matthew K.","contributorId":265945,"corporation":false,"usgs":false,"family":"Chew","given":"Matthew","middleInitial":"K.","affiliations":[{"id":54713,"text":"School of Life Sciences, Arizona State University, Tempe, AZ","active":true,"usgs":false}],"preferred":false,"id":823823,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fitzsimmons, Kevin","contributorId":265946,"corporation":false,"usgs":false,"family":"Fitzsimmons","given":"Kevin","affiliations":[{"id":54836,"text":"Department of Environmental Science, University of Arizona, Tucson, Arizona","active":true,"usgs":false}],"preferred":false,"id":823824,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"van Riper, Charles 0000-0003-1084-5843 charles_van_riper@usgs.gov","orcid":"https://orcid.org/0000-0003-1084-5843","contributorId":265947,"corporation":false,"usgs":false,"family":"van Riper","given":"Charles","email":"charles_van_riper@usgs.gov","affiliations":[{"id":54837,"text":"School of Natural Resources and the Environment, University of Arizona, Tucson, Arizona","active":true,"usgs":false}],"preferred":false,"id":823825,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70219167,"text":"70219167 - 2021 - Delineation of the freshwater-saltwater interface on southwestern Long Island, New York, through use of surface and borehole geophysical methods","interactions":[],"lastModifiedDate":"2021-04-16T12:12:34.357644","indexId":"70219167","displayToPublicDate":"2021-04-10T11:01:15","publicationYear":"2021","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Delineation of the freshwater-saltwater interface on southwestern Long Island, New York, through use of surface and borehole geophysical methods","docAbstract":"

The U.S. Geological Survey used surface and borehole geophysical methods to delineate the freshwater-saltwater interface in coastal plain aquifers along the southwestern part of Long Island, New York. Over pumping of groundwater in the early 20th century combined with freshwater-saltwater interfaces at the coastline created saltwater intrusion in the upper glacial, Jameco, Magothy, and Lloyd aquifers. Our research indicates extensive saltwater intrusion of the Lloyd aquifer along the southwestern coast of Long Island, N.Y. Several public-supply wells in the southern parts of Nassau, Queens, and Kings Counties have been adversely affected by saltwater intrusion causing several supply wells to be shut down and abandoned.

In 2015–17, the U.S. Geological Survey collected time domain electromagnetic soundings at 12 locations and borehole electromagnetic induction conductivity logs at 9 outpost wells within the study area to delineate several saltwater intrusion wedges. Three separate wedges , (shallow, intermediate, and deep), of saltwater intrusion were delineated in the upper glacial, Jameco, and Magothy aquifer complex. In addition, reanalysis of geophysical logs collected in an open borehole of a test well in southern Queens County in 1989 revealed the Lloyd aquifer was nearly completely intruded by saltwater with an estimated chloride concentration of 15,000 milligrams per liter. This suggests the freshwater-saltwater interface was at the coastline and not miles offshore as theorized by previous studies.

","conferenceTitle":"28th Conference on Geology of Long Island and Metropolitan New York","conferenceDate":"April 10, 2021","language":"English","publisher":"Long Island Geologists","usgsCitation":"Stumm, F., Como, M.D., and Zuck, M.A., 2021, Delineation of the freshwater-saltwater interface on southwestern Long Island, New York, through use of surface and borehole geophysical methods, 28th Conference on Geology of Long Island and Metropolitan New York, April 10, 2021, 20 p.","productDescription":"20 p.","ipdsId":"IP-127719","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":385128,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pbisotopes.ess.sunysb.edu/lig/Conferences/abstracts21/Program%202021.htm"},{"id":385129,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Long Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.92013549804688,\n 40.78470081841747\n ],\n [\n -73.9764404296875,\n 40.71603763556807\n ],\n [\n -74.01901245117188,\n 40.686886382151116\n ],\n [\n -74.04373168945312,\n 40.62020704520565\n ],\n [\n -73.99566650390625,\n 40.56806745430726\n ],\n [\n -73.927001953125,\n 40.53676418550201\n ],\n [\n -73.50128173828125,\n 40.57745558120849\n ],\n [\n -73.40789794921875,\n 40.612909950230936\n ],\n [\n -73.63723754882812,\n 40.79925662005228\n ],\n [\n -73.92013549804688,\n 40.78470081841747\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Stumm, Frederick 0000-0002-5388-8811 fstumm@usgs.gov","orcid":"https://orcid.org/0000-0002-5388-8811","contributorId":1077,"corporation":false,"usgs":true,"family":"Stumm","given":"Frederick","email":"fstumm@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":813094,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Como, Michael D. 0000-0002-7911-5390 mcomo@usgs.gov","orcid":"https://orcid.org/0000-0002-7911-5390","contributorId":4651,"corporation":false,"usgs":true,"family":"Como","given":"Michael","email":"mcomo@usgs.gov","middleInitial":"D.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":813095,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zuck, Marie A. 0000-0003-2809-4734","orcid":"https://orcid.org/0000-0003-2809-4734","contributorId":239734,"corporation":false,"usgs":true,"family":"Zuck","given":"Marie","email":"","middleInitial":"A.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":813096,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70219160,"text":"70219160 - 2021 - Acoustic tag retention and tagging mortality of juvenile cisco Coregonus artedi","interactions":[],"lastModifiedDate":"2021-06-30T18:41:43.685954","indexId":"70219160","displayToPublicDate":"2021-04-10T09:20:29","publicationYear":"2021","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}},"displayTitle":"Acoustic tag retention and tagging mortality of juvenile cisco Coregonus artedi","title":"Acoustic tag retention and tagging mortality of juvenile cisco Coregonus artedi","docAbstract":"

Release of hatchery-reared juvenile cisco (Coregonus artedi) is an important tool for recovering Great Lakes populations, but post-release survival is unknown. Telemetry using small acoustic tags provides opportunities to assess the efficacy of hatchery-reared fish releases. However, better understanding of the tolerance of juvenile cisco to acoustic tags is needed. Juvenile cisco mortality and tag retention as a function of tag size:body size (Relative Tag Weight, RTW) was observed for 30 d post tag implantation in the laboratory. Tag loss and mortality increased with RTW. A single mortality occurred for RTW ≤ 3% and tag retention and survival was <50% for RTW > 7.0%. Logistic regression predicted >95% survival and tag retention to 30 d for RTW < 2.5%, with full survival of study fish for RTW of ≤2%. Sedation and surgery times did not affect survival of tagged fish, but results of anesthesia-only and sham surgeries highlight the need to minimize handling effects for effective acoustic telemetry studies. Our findings clarify thresholds of RTW and indicate that juvenile cisco can receive acoustic tag implants. Observing these limitations can improve the effectiveness of acoustic telemetry to assess success of cultured juvenile fish releases for conservation or restoration of native forage fish populations. Evaluation of the effects of acoustic tags over longer time periods and under environmental conditions, like those at release sites, are needed to further validate this technology.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2021.03.020","usgsCitation":"McKenna, J.E., Sethi, S., Scholten, G.M., Kraus, J.W., and Chalupnicki, M., 2021, Acoustic tag retention and tagging mortality of juvenile cisco Coregonus artedi: Journal of Great Lakes Research, v. 47, no. 3, p. 937-942, https://doi.org/10.1016/j.jglr.2021.03.020.","productDescription":"6 p.","startPage":"937","endPage":"942","ipdsId":"IP-112087","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":436413,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9EYBLIT","text":"USGS data release","linkHelpText":"Survival and ancillary data associated with Cisco acoustic tagging experiment conducted in 2018 and 2019"},{"id":385064,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"47","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"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":813069,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sethi, Suresh 0000-0002-0053-1827 ssethi@usgs.gov","orcid":"https://orcid.org/0000-0002-0053-1827","contributorId":191424,"corporation":false,"usgs":true,"family":"Sethi","given":"Suresh","email":"ssethi@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":813070,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scholten, Grant Marvin 0000-0003-2290-1136","orcid":"https://orcid.org/0000-0003-2290-1136","contributorId":256697,"corporation":false,"usgs":true,"family":"Scholten","given":"Grant","email":"","middleInitial":"Marvin","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":813071,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kraus, Jeremy W. 0000-0003-1498-5771","orcid":"https://orcid.org/0000-0003-1498-5771","contributorId":256698,"corporation":false,"usgs":true,"family":"Kraus","given":"Jeremy","email":"","middleInitial":"W.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":813072,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":813073,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70229985,"text":"70229985 - 2021 - Nitrogen biogeochemistry in a boreal headwater stream network in interior Alaska","interactions":[],"lastModifiedDate":"2022-03-22T14:28:15.083341","indexId":"70229985","displayToPublicDate":"2021-04-10T08:58:54","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Nitrogen biogeochemistry in a boreal headwater stream network in interior Alaska","docAbstract":"High latitude, boreal watersheds are nitrogen (N)-limited ecosystems that export large amounts of organic carbon (C). Key controls on C cycling in these environments are the biogeochemical processes affecting the N cycle. A study was conducted in Nome Creek, an upland headwater tributary of the Yukon River, and two first-order tributaries to Nome Creek, to examine the relation between seasonal and transport-associated changes in C and N pools and N-cycling processes across varying hydrologic gradients using laboratory bioassays of water and sediment samples and in-stream tracer tests. DON exceeded dissolved inorganic nitrogen (DIN) in Nome Creek except late in the summer season, with little variation in organic C:N ratios with time or transport distance. DIN was dominant in the 1st order tributaries. Rates of organic N mineralization and denitrification in laboratory incubations were related to sediment organic C content, while nitrification rates differed greatly between two 1st order tributaries with similar drainages. Additions of DIN or urea did not stimulate microbial activity. In-stream tracer tests with nitrate and urea indicated that uptake rates were slow relative to transport rates; simulated rates of uptake in stream storage zones were higher than rates assessed in the laboratory bioassays. In general, N-cycle processes were more active and had a greater overall impact in the 1st order tributaries and were minimized in Nome Creek, the larger, higher velocity, transport-dominated stream. Understanding key controls on N-cycling processes in these watersheds has important implications for DIN speciation and down-stream impacts of potential increased N loads in response to climate warming.","language":"English","doi":"10.1016/j.scitotenv.2020.142906","usgsCitation":"Smith, R.L., Repert, D.A., and Koch, J.C., 2021, Nitrogen biogeochemistry in a boreal headwater stream network in interior Alaska: Science of the Total Environment, v. 764, 142906, 11 p., https://doi.org/10.1016/j.scitotenv.2020.142906.","productDescription":"142906, 11 p.","ipdsId":"IP-098998","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":452718,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2020.142906","text":"Publisher Index Page"},{"id":436415,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9K61317","text":"USGS data release","linkHelpText":"Nitrogen biogeochemistry in a boreal headwater stream network in Interior Alaska, 2008 to 2011"},{"id":397395,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"East Twin Creek, Nome Creek, West Twin Creek, White Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -147.14040756225586,\n 65.35946624333435\n ],\n [\n -147.03432083129883,\n 65.35946624333435\n ],\n [\n -147.03432083129883,\n 65.39429760005945\n ],\n [\n -147.14040756225586,\n 65.39429760005945\n ],\n [\n -147.14040756225586,\n 65.35946624333435\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"764","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, Richard L. 0000-0002-3829-0125 rlsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-3829-0125","contributorId":1592,"corporation":false,"usgs":true,"family":"Smith","given":"Richard","email":"rlsmith@usgs.gov","middleInitial":"L.","affiliations":[{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":838574,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Repert, Deborah A. 0000-0001-7284-1456 darepert@usgs.gov","orcid":"https://orcid.org/0000-0001-7284-1456","contributorId":2578,"corporation":false,"usgs":true,"family":"Repert","given":"Deborah","email":"darepert@usgs.gov","middleInitial":"A.","affiliations":[{"id":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":838575,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Koch, Joshua C. 0000-0001-7180-6982 jkoch@usgs.gov","orcid":"https://orcid.org/0000-0001-7180-6982","contributorId":202532,"corporation":false,"usgs":true,"family":"Koch","given":"Joshua","email":"jkoch@usgs.gov","middleInitial":"C.","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":838576,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70219588,"text":"70219588 - 2021 - Regional target loads of atmospheric nitrogen and sulfur deposition for the protection of stream and watershed soil resources of the Adirondack Mountains, USA","interactions":[],"lastModifiedDate":"2021-04-22T18:02:33.699935","indexId":"70219588","displayToPublicDate":"2021-04-10T07:42:17","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1555,"text":"Environmental Pollution","active":true,"publicationSubtype":{"id":10}},"title":"Regional target loads of atmospheric nitrogen and sulfur deposition for the protection of stream and watershed soil resources of the Adirondack Mountains, USA","docAbstract":"

Acidic deposition contributes to a range of environmental impacts across forested landscapes, including acidification of soil and drainage water, toxic aluminum mobilization, depletion of available soil nutrient cations, and impacts to forest and aquatic species health and biodiversity. In response to decreasing levels of acidic deposition, soils and drainage waters in some regions of North America have become gradually less acidic. Thresholds of atmospheric deposition at which adverse ecological effects are manifested are called critical loads (CLs) and/or target loads (TLs). Target loads are developed based on approaches that account for spatial and temporal aspects of acidification and recovery. Exceedance represents the extent to which current or projected future levels of acidic deposition exceed the level expected to cause ecological harm. We report TLs of sulfur (S) and nitrogen (N) deposition and the potential for ecosystem recovery of watershed soils and streams in the Adirondack region of New York State, resources that have been less thoroughly investigated than lakes. Regional TLs were calculated by statistical extrapolation of hindcast and forecast simulations of 25 watersheds using the process-based model PnET-BGC coupled with empirical observations of stream hydrology and established sensitivity of sugar maple (Acer saccharum) to soil base saturation and brook trout (Salvelinus fontinalis) to stream acid neutralizing capacity (ANC). Historical impacts and the expected recovery timeline of regional soil and stream chemistry and fish community condition within the Adirondack Park were evaluated. Analysis suggests that many low-order Adirondack streams and associated watershed soils have low TLs (<40 meq/m2/yr of N+S deposition) to achieve specified benchmarks for recovery of soil base saturation or stream ANC. Acid-sensitive headwater and low-order streams and watershed soils in the region are expected to experience continued adverse effects from N and S deposition well into the future even under aggressive emissions reductions. Watershed soils and streams in the western Adirondack Park are particularly vulnerable to acidic deposition and currently in exceedance of TLs. The methods used for linking statistical and process-based models to consider chemical and biological response under varying flow conditions at the regional scale in this study can be applied to other areas of concern.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.envpol.2021.117110","usgsCitation":"McDonnell, T.C., Driscoll, C., Sullivan, T.J., Burns, D., Baldigo, B.P., Shao, S., and Lawrence, G.B., 2021, Regional target loads of atmospheric nitrogen and sulfur deposition for the protection of stream and watershed soil resources of the Adirondack Mountains, USA: Environmental Pollution, v. 281, 117110, 13 p., https://doi.org/10.1016/j.envpol.2021.117110.","productDescription":"117110, 13 p.","ipdsId":"IP-125742","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":385119,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Adirondack Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.41015625,\n 42.771211138625866\n ],\n [\n -73.24584960937501,\n 42.771211138625866\n ],\n [\n -73.24584960937501,\n 45.0657615477031\n ],\n [\n -75.41015625,\n 45.0657615477031\n ],\n [\n -75.41015625,\n 42.771211138625866\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"281","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"McDonnell, Todd C. 0000-0002-5231-105X","orcid":"https://orcid.org/0000-0002-5231-105X","contributorId":196721,"corporation":false,"usgs":false,"family":"McDonnell","given":"Todd","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":814256,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Driscoll, Charles T.","contributorId":240874,"corporation":false,"usgs":false,"family":"Driscoll","given":"Charles T.","affiliations":[{"id":5082,"text":"Syracuse University","active":true,"usgs":false}],"preferred":false,"id":814257,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sullivan, Timothy J.","contributorId":196720,"corporation":false,"usgs":false,"family":"Sullivan","given":"Timothy","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":814258,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Burns, Douglas A. 0000-0001-6516-2869","orcid":"https://orcid.org/0000-0001-6516-2869","contributorId":202943,"corporation":false,"usgs":true,"family":"Burns","given":"Douglas A.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":814259,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Baldigo, Barry P. 0000-0002-9862-9119 bbaldigo@usgs.gov","orcid":"https://orcid.org/0000-0002-9862-9119","contributorId":1234,"corporation":false,"usgs":true,"family":"Baldigo","given":"Barry","email":"bbaldigo@usgs.gov","middleInitial":"P.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":814260,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shao, Shuai","contributorId":222597,"corporation":false,"usgs":false,"family":"Shao","given":"Shuai","email":"","affiliations":[{"id":5082,"text":"Syracuse University","active":true,"usgs":false}],"preferred":false,"id":814261,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lawrence, Gregory B. 0000-0002-8035-2350 glawrenc@usgs.gov","orcid":"https://orcid.org/0000-0002-8035-2350","contributorId":867,"corporation":false,"usgs":true,"family":"Lawrence","given":"Gregory","email":"glawrenc@usgs.gov","middleInitial":"B.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":814262,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70219605,"text":"70219605 - 2021 - 3-D geologic controls of hydrothermal fluid flow at Brady geothermal field, Nevada, USA","interactions":[],"lastModifiedDate":"2021-04-15T12:22:10.257428","indexId":"70219605","displayToPublicDate":"2021-04-10T07:16:28","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1828,"text":"Geothermics","active":true,"publicationSubtype":{"id":10}},"title":"3-D geologic controls of hydrothermal fluid flow at Brady geothermal field, Nevada, USA","docAbstract":"

In many hydrothermal systems, fracture permeability along faults provides pathways for groundwater to transport heat from depth. Faulting generates a range of deformation styles that cross-cut heterogeneous geology, resulting in complex patterns of permeability, porosity, and hydraulic conductivity. Vertical connectivity (a throughgoing network of permeable areas that allows advection of heat from depth to the shallow subsurface) is rare and is confined to relatively small volumes that have highly variable spatial distribution. This local compartmentalization of connectivity represents a significant challenge to understanding hydrothermal circulation and for exploring, developing, and managing hydrothermal resources. Here, we present an evaluation of the geologic characteristics that control this compartmentalization in hydrothermal systems through 3-D analysis of the Brady geothermal field in western Nevada. A published 3-D geologic map of the Brady area is used as a basis to develop structural and geological variables that are hypothesized to control or effect permeability or connectivity. The 3-D distribution of these variables is compared to the distribution of productive and non-productive fluid flow intervals along production wells and non-productive wells via principal component analysis (PCA). This comparison elucidates which geologic and structural variables are most closely associated with productive fluid flow intervals. Results indicate that production intervals at Brady are located: (1) within or near to known and stress-loaded macro-scale faults, and (2) in areas of high fault and fracture density.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.geothermics.2021.102112","usgsCitation":"Siler, D.L., and Pepin, J.D., 2021, 3-D geologic controls of hydrothermal fluid flow at Brady geothermal field, Nevada, USA: Geothermics, v. 94, 102112, 13 p., https://doi.org/10.1016/j.geothermics.2021.102112.","productDescription":"102112, 13 p.","ipdsId":"IP-122748","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":452723,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.geothermics.2021.102112","text":"Publisher Index Page"},{"id":385113,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.4873046875,\n 38.51378825951165\n ],\n [\n -117.6416015625,\n 38.51378825951165\n ],\n [\n -117.6416015625,\n 40.04443758460856\n ],\n [\n -119.4873046875,\n 40.04443758460856\n ],\n [\n -119.4873046875,\n 38.51378825951165\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"94","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Siler, Drew L. 0000-0001-7540-8244","orcid":"https://orcid.org/0000-0001-7540-8244","contributorId":203341,"corporation":false,"usgs":true,"family":"Siler","given":"Drew","email":"","middleInitial":"L.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":814295,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pepin, Jeff D. 0000-0002-7410-9979","orcid":"https://orcid.org/0000-0002-7410-9979","contributorId":222161,"corporation":false,"usgs":true,"family":"Pepin","given":"Jeff","email":"","middleInitial":"D.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":814296,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70219474,"text":"ofr20211007 - 2021 - Characterization of water-resource threats and needs for U.S. Fish and Wildlife Service National Wildlife Refuges in the Legacy Mountain-Prairie Region, 2020","interactions":[],"lastModifiedDate":"2021-04-09T19:02:12.178637","indexId":"ofr20211007","displayToPublicDate":"2021-04-09T13:15:00","publicationYear":"2021","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":"2021-1007","displayTitle":"Characterization of Water-Resource Threats and Needs for U.S. Fish and Wildlife Service National Wildlife Refuges in the Legacy Mountain-Prairie Region, 2020","title":"Characterization of water-resource threats and needs for U.S. Fish and Wildlife Service National Wildlife Refuges in the Legacy Mountain-Prairie Region, 2020","docAbstract":"

The U.S. Geological Survey, in cooperation with the U.S. Fish and Wildlife Service (FWS), began a study in 2019 to complete the compilation and quality assurance of water-resource threats and needs data for the 117 National Wildlife Refuges (NWRs) in the FWS Legacy Mountain-Prairie Region (LMPR) and to characterize the water-resource threats and needs of each refuge and of the LMPR itself. The LMPR encompasses the states of Colorado, Kansas, Montana, Nebraska, North Dakota, South Dakota, Utah, and Wyoming. This report includes the compilation and quality assurance of current (April 2020) water-resource threats and needs data for the refuges in the LMPR and a statistical, graphical, and spatial characterization, including the ranking and prioritization of threat types, threat causes, and needs by the number of occurrences in the LMPR as a whole and by refuges, states, and select U.S. Environmental Protection Agency Level III Ecoregions.

A total of 540 unique threat occurrences were identified for 109 refuges in the LMPR. No threats were identified for eight refuges. About 43 percent of the threat occurrences, for 59 refuges, had a high-severity threat rating. Of the 10 most common threat types, 8 were also among the most common high-severity threat types. Water-resource threats had 72 different causes. About 83 percent of the overall common causes for threats and for high-severity threats were the same. The most common threat types overall and the most common high-severity threat types were compromised water management capability, habitat shifting/alteration, and altered flow regimes. The 20 water-resource threat types for Long Lake NWR were the most for refuges in the LMPR. Other refuges with the greatest number of threat types included Marais des Cygnes NWR (18) and Arapaho and Lee Metcalf NWRs (16 each). About 54 percent of refuges with threats had high-severity threats. Arapaho and Quivira NWRs each had 10 high-severity threat types, the maximum number of high-severity threat types for LMPR refuges.

A total of 637 unique need occurrences were identified for 114 refuges. No needs were reported for three refuges. The most common need type, a Water Resource Inventory and Assessment, was reported for 78 refuges. Two of the most common need types, repair and replace water management infrastructure and water supply/quantity monitoring, were the most common high-priority need types. Bear River Migratory Bird Refuge had the most (39) unique water-resource need types for refuges in the LMPR. Other refuges with the greatest number of need types were Baca (38), Alamosa (36), and Monte Vista (36) NWRs. The most high-priority need types for a refuge was 23, at Monte Vista NWR. Alamosa (22), Baca (22), and Lake Andes (19) NWRs were also among the top 4 refuges with the greatest number of high-priority need types.

An overall ranking scheme was developed to identify refuges that have the highest-ranking priority for conservation efforts to fulfill refuges’ statutory purposes. The count of occurrences of high-severity threats and high-priority needs were summed to determine the overall ranking value for a refuge. The 10 refuges with the highest overall ranking values, in order of ranking from higher to lower, were Alamosa, Baca, and Monte Vista NWRs (tied for highest); Lake Andes NWR, Ouray and Quivira NWRs, Bear River Migratory Bird Refuge and Flint Hills NWR, Cokeville Meadows NWR, and Arapaho NWR.

About 33 percent of overall threat occurrences were reported as under the control of the FWS to mitigate, as were 37 percent of all threat occurrences with a high-severity rating. The most common overall threat types and high-severity threat types under FWS control were compromised water management capability; habitat shifting/alteration; altered flow regimes; loss/alteration of wetland habitat; and legal challenges or fines for non-compliance with water policy, law, or regulation. A total of 68 percent of overall need occurrences and 67 percent of all high-priority need occurrences were under the control of the FWS. The most common overall need types and high-priority needs types under control were repair or replace water management infrastructure, water supply/quantity monitoring, water quality baseline monitoring, and protect habitat from invasive species. A Water Resource Inventory and Assessment was also a common overall need under FWS control, as was the high-priority need of water level monitoring.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/ofr20211007","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service","usgsCitation":"Bauch, N.J., Kohn, M.S., and Caruso, B.S., 2021, Characterization of water-resource threats and needs for U.S. Fish and Wildlife Service National Wildlife Refuges in the Legacy Mountain-Prairie Region, 2020: U.S. Geological Survey Open-File Report 2021–1007, 46 p., https://doi.org/10.3133/ofr20211007.","productDescription":"viii, 46 p.","onlineOnly":"Y","ipdsId":"IP-119415","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":384940,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2021/1007/coverthb.jpg"},{"id":384941,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2021/1007/ofr20211007.pdf","text":"Report","size":"9.45 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2021-1007"}],"country":"United States","state":"Colorado, Kansas, Montana, Nebraska, North Dakota, South Dakota, Utah, Wyoming","otherGeospatial":"Legacy Mountain Prairie Region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -109.0283203125,\n 36.96744946416934\n ],\n [\n -94.63623046875,\n 37.00255267215955\n ],\n [\n -94.63623046875,\n 39.095962936305476\n ],\n [\n -95.00976562499999,\n 39.62261494094297\n ],\n [\n -94.81201171875,\n 39.85915479295669\n ],\n [\n -95.64697265625,\n 40.51379915504413\n ],\n [\n -96.1083984375,\n 41.60722821271717\n ],\n [\n -96.6357421875,\n 42.66628070564928\n ],\n [\n -96.50390625,\n 43.48481212891603\n ],\n [\n -96.416015625,\n 45.36758436884978\n ],\n [\n -96.85546875,\n 45.61403741135093\n ],\n [\n -96.52587890625,\n 45.9511496866914\n ],\n [\n -96.85546875,\n 46.81509864599243\n ],\n [\n -96.85546875,\n 47.62097541515849\n ],\n [\n -97.20703125,\n 48.1367666796927\n ],\n [\n -97.20703125,\n 48.99463598353405\n ],\n [\n -116.01562499999999,\n 49.03786794532644\n ],\n [\n -116.08154296875001,\n 48.004625021133904\n ],\n [\n -115.4443359375,\n 47.27922900257082\n ],\n [\n -114.36767578124999,\n 46.51351558059737\n ],\n [\n -114.521484375,\n 45.66012730272194\n ],\n [\n -114.14794921875,\n 45.521743896993634\n ],\n [\n -113.99414062499999,\n 45.61403741135093\n ],\n [\n -113.48876953125,\n 44.94924926661153\n ],\n [\n -112.69775390625,\n 44.38669150215206\n ],\n [\n -111.26953125,\n 44.69989765840318\n ],\n [\n -111.11572265625,\n 44.574817404670306\n ],\n [\n -111.0498046875,\n 41.983994270935625\n ],\n [\n -114.01611328125,\n 42.00032514831621\n ],\n [\n -114.06005859375,\n 36.94989178681327\n ],\n [\n -109.0283203125,\n 36.96744946416934\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Colorado Water Science Center
U.S. Geological Survey
Box 25046, MS 415
Denver, CO 80225

","tableOfContents":"","publishedDate":"2021-04-09","noUsgsAuthors":false,"publicationDate":"2021-04-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Bauch, Nancy J. 0000-0002-0302-2892","orcid":"https://orcid.org/0000-0002-0302-2892","contributorId":202707,"corporation":false,"usgs":true,"family":"Bauch","given":"Nancy J.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":813714,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kohn, Michael S. 0000-0002-5989-7700 mkohn@usgs.gov","orcid":"https://orcid.org/0000-0002-5989-7700","contributorId":4549,"corporation":false,"usgs":true,"family":"Kohn","given":"Michael","email":"mkohn@usgs.gov","middleInitial":"S.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":813715,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Caruso, Brian S. 0000-0002-2184-4961","orcid":"https://orcid.org/0000-0002-2184-4961","contributorId":257039,"corporation":false,"usgs":false,"family":"Caruso","given":"Brian S.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":813716,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70219514,"text":"70219514 - 2021 - Remote sensing analysis to quantify change in woodland canopy cover on the San Carlos Apache Reservation, Arizona (1935 vs. 2017)","interactions":[],"lastModifiedDate":"2021-04-13T12:02:06.318473","indexId":"70219514","displayToPublicDate":"2021-04-09T12:00:01","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2596,"text":"Land","active":true,"publicationSubtype":{"id":10}},"title":"Remote sensing analysis to quantify change in woodland canopy cover on the San Carlos Apache Reservation, Arizona (1935 vs. 2017)","docAbstract":"

Since the late 1800s, pinyon–juniper woodland across the western U.S. has increased in density and areal extent and encroached into former grassland areas. The San Carlos Apache Tribe wants to gain qualitative and quantitative information on the historical conditions of their tribal woodlands to use as a baseline for restoration efforts. At the San Carlos Apache Reservation, in east-central Arizona, large swaths of woodlands containing varying mixtures of juniper (Juniperus spp.), pinyon (Pinus spp.) and evergreen oak (Quercus spp.) are culturally important to the Tribe and are a focus for restoration. To determine changes in canopy cover, we developed image analysis techniques to monitor tree and large shrub cover using 1935 and 2017 aerial imagery and compared results over the 82-year interval. Results showed a substantial increase in the canopy cover of the former savannas, and encroachment (mostly juniper) into the former grasslands of Big Prairie. The Tribe is currently engaged in converting juniper woodland back into an open savanna, more characteristic of assumed pre-reservation conditions for that area. Our analysis shows areas on Bee Flat that, under the Tribe’s active restoration efforts, have returned woodland canopy cover to levels roughly analogous to that measured in 1935.

","language":"English","publisher":"MDPI","doi":"10.3390/land10040393","usgsCitation":"Middleton, B.R., and Norman, L., 2021, Remote sensing analysis to quantify change in woodland canopy cover on the San Carlos Apache Reservation, Arizona (1935 vs. 2017): Land, v. 10, no. 4, 393, 22 p., https://doi.org/10.3390/land10040393.","productDescription":"393, 22 p.","ipdsId":"IP-115039","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":452727,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/land10040393","text":"Publisher Index Page"},{"id":385028,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"San Carlos Apache Reservation","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -110.950927734375,\n 32.87036022808352\n ],\n [\n -109.30847167968749,\n 32.87036022808352\n ],\n [\n -109.30847167968749,\n 34.07996230865873\n ],\n [\n -110.950927734375,\n 34.07996230865873\n ],\n [\n -110.950927734375,\n 32.87036022808352\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"10","issue":"4","noUsgsAuthors":false,"publicationDate":"2021-04-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Middleton, Barry R. 0000-0001-8924-4121 bmiddleton@usgs.gov","orcid":"https://orcid.org/0000-0001-8924-4121","contributorId":3947,"corporation":false,"usgs":true,"family":"Middleton","given":"Barry","email":"bmiddleton@usgs.gov","middleInitial":"R.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":813878,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":813879,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70219525,"text":"70219525 - 2021 - Exploring the regional dynamics of U.S. irrigated agriculture from 2002 to 2017","interactions":[],"lastModifiedDate":"2021-04-12T13:24:29.760856","indexId":"70219525","displayToPublicDate":"2021-04-09T08:19:17","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2596,"text":"Land","active":true,"publicationSubtype":{"id":10}},"title":"Exploring the regional dynamics of U.S. irrigated agriculture from 2002 to 2017","docAbstract":"

The United States has a geographically mature and stable land use and land cover system including land used as irrigated cropland; however, changes in irrigation land use frequently occur related to various drivers. We applied a consistent methodology at a 250 m spatial resolution across the lower 48 states to map and estimate irrigation dynamics for four map eras (2002, 2007, 2012, and 2017) and over four 5-year mapping intervals. The resulting geospatial maps (called the Moderate Resolution Imaging Spectroradiometer (MODIS) Irrigated Agriculture Dataset or MIrAD-US) involved inputs from county-level irrigated statistics from the U.S. Department of Agriculture, National Agricultural Statistics Service, agricultural land cover from the U.S. Geological Survey National Land Cover Database, and an annual peak vegetation index derived from expedited MODIS satellite imagery. This study investigated regional and periodic patterns in the amount of change in irrigated agriculture and linked gains and losses to proximal causes and consequences. While there was a 7% overall increase in irrigated area from 2002 to 2017, we found surprising variability by region and by 5-year map interval. Irrigation land use dynamics affect the environment, water use, and crop yields. Regionally, we found that the watersheds with the largest irrigation gains (based on percent of area) included the Missouri, Upper Mississippi, and Lower Mississippi watersheds. Conversely, the California and the Texas–Gulf watersheds experienced fairly consistent irrigation losses during these mapping intervals. Various drivers for irrigation dynamics included regional climate fluctuations and drought events, demand for certain crops, government land or water policies, and economic incentives like crop pricing and land values. The MIrAD-US (Version 4) was assessed for accuracy using a variety of existing regionally based reference data. Accuracy ranged between 70% and 95%, depending on the region.

","language":"English","publisher":"MDPI","doi":"10.3390/land10040394","usgsCitation":"Shrestha, D., Brown, J.F., Benedict, T.D., and Howard, D., 2021, Exploring the regional dynamics of U.S. irrigated agriculture from 2002 to 2017: Land, v. 10, no. 4, https://doi.org/10.3390/land10040394.","productDescription":"394, 16 p.","startPage":"394","ipdsId":"IP-126684","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":452730,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/land10040394","text":"Publisher Index Page"},{"id":385004,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Conterminous United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"geometry\": {\n \"type\": \"MultiPolygon\",\n 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0000-0002-9976-1998 jfbrown@usgs.gov","orcid":"https://orcid.org/0000-0002-9976-1998","contributorId":176609,"corporation":false,"usgs":true,"family":"Brown","given":"Jesslyn","email":"jfbrown@usgs.gov","middleInitial":"F.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":813937,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Benedict, Trenton D 0000-0001-8672-2204","orcid":"https://orcid.org/0000-0001-8672-2204","contributorId":256662,"corporation":false,"usgs":false,"family":"Benedict","given":"Trenton","email":"","middleInitial":"D","affiliations":[{"id":51826,"text":"KBR, Inc. Contractor to the USGS Earth Resources Observation & Science (EROS) Center","active":true,"usgs":false}],"preferred":false,"id":813938,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Howard, Daniel 0000-0002-7563-7538","orcid":"https://orcid.org/0000-0002-7563-7538","contributorId":256667,"corporation":false,"usgs":false,"family":"Howard","given":"Daniel","affiliations":[{"id":51826,"text":"KBR, Inc. Contractor to the USGS Earth Resources Observation & Science (EROS) Center","active":true,"usgs":false}],"preferred":false,"id":813939,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70219535,"text":"70219535 - 2021 - Metabarcoding of environmental samples suggest wide distribution of eelgrass (Zostera marina) pathogens in the north Pacific","interactions":[],"lastModifiedDate":"2021-04-13T13:10:30.077483","indexId":"70219535","displayToPublicDate":"2021-04-09T08:07:42","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":8122,"text":"Metabarcoding and Metagenomics","active":true,"publicationSubtype":{"id":10}},"title":"Metabarcoding of environmental samples suggest wide distribution of eelgrass (Zostera marina) pathogens in the north Pacific","docAbstract":"

Seagrass meadows provide important ecological services to the marine environment but are declining worldwide. Although eelgrass meadows in the north Pacific are thought to be relatively healthy, few studies have assessed the presence of known disease pathogens in these meadows. In a pilot study to test the efficacy of the methods and to provide foundational disease biodiversity data in the north Pacific, we leveraged metabarcoding of environmental DNA extracted from water, sediment, and eelgrass tissue samples collected from five widely distributed eelgrass meadows in Alaska and one in Japan and uncovered wide prevalence of two classes of pathogenic organisms – Labyrinthula zosterae and other associated strains of Labyrinthula, and the Phytophthora/Halophytophthora blight species complex – known to have caused decline in eelgrass (Zostera marina) elsewhere in the species’ global distribution. Although the distribution of these disease organisms is not well understood in the north Pacific, we uncovered the presence of at least one eelgrass pathogen at every locality sampled.

","language":"English","publisher":"Pensoft","doi":"10.3897/mbmg.5.62823","usgsCitation":"Menning, D.M., Gravley, H.A., Cady, M.N., Pepin, D.J., Wyllie-Echeverria, S., Ward, D.H., and Talbot, S.L., 2021, Metabarcoding of environmental samples suggest wide distribution of eelgrass (Zostera marina) pathogens in the north Pacific: Metabarcoding and Metagenomics, v. 5, p. 35-42, https://doi.org/10.3897/mbmg.5.62823.","productDescription":"e62823, 8 p.","startPage":"35","endPage":"42","ipdsId":"IP-118224","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":452732,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3897/mbmg.5.62823","text":"Publisher Index Page"},{"id":436416,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9T69I3V","text":"USGS data release","linkHelpText":"Detection of Seagrass Pathogens using Environmental DNA (eDNA), North Pacific, 2016-Present"},{"id":385058,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","noUsgsAuthors":false,"publicationDate":"2021-04-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Menning, Damian M. 0000-0003-3547-3062 dmenning@usgs.gov","orcid":"https://orcid.org/0000-0003-3547-3062","contributorId":205131,"corporation":false,"usgs":true,"family":"Menning","given":"Damian","email":"dmenning@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":814084,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gravley, Hunter A","contributorId":257328,"corporation":false,"usgs":false,"family":"Gravley","given":"Hunter","email":"","middleInitial":"A","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":814085,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cady, Melissa N.","contributorId":173930,"corporation":false,"usgs":false,"family":"Cady","given":"Melissa","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":814086,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pepin, Daniel J","contributorId":257329,"corporation":false,"usgs":false,"family":"Pepin","given":"Daniel","email":"","middleInitial":"J","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":814087,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wyllie-Echeverria, Sandy","contributorId":224099,"corporation":false,"usgs":false,"family":"Wyllie-Echeverria","given":"Sandy","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":814088,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ward, David H. 0000-0002-5242-2526 dward@usgs.gov","orcid":"https://orcid.org/0000-0002-5242-2526","contributorId":3247,"corporation":false,"usgs":true,"family":"Ward","given":"David","email":"dward@usgs.gov","middleInitial":"H.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":814089,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Talbot, Sandra L. 0000-0002-3312-7214 stalbot@usgs.gov","orcid":"https://orcid.org/0000-0002-3312-7214","contributorId":140512,"corporation":false,"usgs":true,"family":"Talbot","given":"Sandra","email":"stalbot@usgs.gov","middleInitial":"L.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":814090,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70219510,"text":"70219510 - 2021 - Alternating wet and dry depositional environments recorded in the stratigraphy of Mt Sharp at Gale Crater, Mars","interactions":[],"lastModifiedDate":"2021-06-30T18:21:45.95743","indexId":"70219510","displayToPublicDate":"2021-04-08T10:24:24","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Alternating wet and dry depositional environments recorded in the stratigraphy of Mt Sharp at Gale Crater, Mars","docAbstract":"

The Curiosity rover is exploring Hesperian-aged stratigraphy in Gale crater, Mars, where a transition from clay-bearing units to a layered sulfate-bearing unit has been interpreted to represent a major environmental transition of unknown character. We present the first description of key facies in the sulfate-bearing unit, recently observed in the distance by the rover, and propose a model for changes in depositional environments. Our results indicate a transition from lacustrine mudstones into thick aeolian deposits, topped by a major deflation surface, above which strata show architectures likely diagnostic of a subaqueous environment. This model offers a reference example of a depositional sequence for layered sulfate-bearing strata, which have been identified from orbit in other locations globally. It differs from the idea of a monotonic Hesperian climate change into long-term aridity on Mars and instead implies a period characterized by multiple transitions between sustained drier and wetter climates.

","language":"English","publisher":"Geological Society of America","doi":"10.1130/G48519.1","usgsCitation":"Rapin, W., Dromart, G., Rubin, D., Le Deit, L., Mangold, N., Edgar, L.A., Gasnault, O., Herkenhoff, K., Lemouelic, S., Anderson, R.B., Maurice, S., Fox, V., Ehlmann, B.L., Dickson, J.L., and Wiens, R.C., 2021, Alternating wet and dry depositional environments recorded in the stratigraphy of Mt Sharp at Gale Crater, Mars: Geology, v. 49, no. 7, p. 842-846, https://doi.org/10.1130/G48519.1.","productDescription":"5 p.","startPage":"842","endPage":"846","ipdsId":"IP-118537","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":452736,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/g48519.1","text":"Publisher Index Page"},{"id":385019,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Gale Crater, Mars, Mount Sharp","volume":"49","issue":"7","noUsgsAuthors":false,"publicationDate":"2021-04-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Rapin, William","contributorId":172305,"corporation":false,"usgs":false,"family":"Rapin","given":"William","email":"","affiliations":[{"id":27023,"text":"Institut de Recherche en Astrophysique et Planétologie","active":true,"usgs":false}],"preferred":false,"id":813845,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dromart, Gilles","contributorId":172300,"corporation":false,"usgs":false,"family":"Dromart","given":"Gilles","email":"","affiliations":[{"id":25661,"text":"Laboratoire de Géologie de Lyon, Ecole Normale Supérieure de Lyon and Université Claude Bernard Lyon","active":true,"usgs":false}],"preferred":false,"id":813846,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rubin, Dave","contributorId":189222,"corporation":false,"usgs":false,"family":"Rubin","given":"Dave","email":"","affiliations":[],"preferred":false,"id":813847,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Le Deit, Laticia","contributorId":257240,"corporation":false,"usgs":false,"family":"Le Deit","given":"Laticia","email":"","affiliations":[{"id":27021,"text":"Universite de Nantes","active":true,"usgs":false}],"preferred":false,"id":813848,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mangold, Nicolas","contributorId":52903,"corporation":false,"usgs":false,"family":"Mangold","given":"Nicolas","email":"","affiliations":[],"preferred":false,"id":813849,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Edgar, Lauren A. 0000-0001-7512-7813 ledgar@usgs.gov","orcid":"https://orcid.org/0000-0001-7512-7813","contributorId":167501,"corporation":false,"usgs":true,"family":"Edgar","given":"Lauren","email":"ledgar@usgs.gov","middleInitial":"A.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":813850,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gasnault, Olivier","contributorId":181501,"corporation":false,"usgs":false,"family":"Gasnault","given":"Olivier","email":"","affiliations":[],"preferred":false,"id":813851,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Herkenhoff, Kenneth E. 0000-0002-3153-6663","orcid":"https://orcid.org/0000-0002-3153-6663","contributorId":206170,"corporation":false,"usgs":true,"family":"Herkenhoff","given":"Kenneth E.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":813852,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lemouelic, S.","contributorId":71765,"corporation":false,"usgs":true,"family":"Lemouelic","given":"S.","email":"","affiliations":[],"preferred":false,"id":813951,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Anderson, Ryan B. 0000-0003-4465-2871 rbanderson@usgs.gov","orcid":"https://orcid.org/0000-0003-4465-2871","contributorId":170054,"corporation":false,"usgs":true,"family":"Anderson","given":"Ryan","email":"rbanderson@usgs.gov","middleInitial":"B.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":813952,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Maurice, S.","contributorId":18144,"corporation":false,"usgs":true,"family":"Maurice","given":"S.","email":"","affiliations":[],"preferred":false,"id":813953,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Fox, V.","contributorId":257270,"corporation":false,"usgs":false,"family":"Fox","given":"V.","affiliations":[],"preferred":false,"id":813954,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Ehlmann, B. L.","contributorId":252876,"corporation":false,"usgs":false,"family":"Ehlmann","given":"B.","email":"","middleInitial":"L.","affiliations":[{"id":50450,"text":"JPL/Caltech, Pasadena, CA","active":true,"usgs":false}],"preferred":false,"id":813955,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Dickson, J. L.","contributorId":257271,"corporation":false,"usgs":false,"family":"Dickson","given":"J.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":813956,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Wiens, R. C.","contributorId":101893,"corporation":false,"usgs":false,"family":"Wiens","given":"R.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":813957,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}} ,{"id":70219511,"text":"70219511 - 2021 - Draft genome sequence of Bordetella sp. strain FB-8, isolated from a former uranium mining area in Germany","interactions":[],"lastModifiedDate":"2021-04-12T15:20:26.948948","indexId":"70219511","displayToPublicDate":"2021-04-08T09:59:23","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5813,"text":"Microbiology Resource Announcements","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Draft genome sequence of Bordetella sp. strain FB-8, isolated from a former uranium mining area in Germany","title":"Draft genome sequence of Bordetella sp. strain FB-8, isolated from a former uranium mining area in Germany","docAbstract":"

Here, we present the draft genome sequence of Bordetella sp. strain FB-8, a mixotrophic iron-oxidizing bacterium isolated from creek sediment in the former uranium-mining district of Ronneburg, Germany. To date, iron oxidation has not been reported in Bordetella species, indicating that FB-8 may be an environmentally important Bordetella sp.

","language":"English","publisher":"American Society for Microbiology","doi":"10.1128/MRA.01035-19","usgsCitation":"Harris, C.R., Akob, D., Fabisch, M., Beulig, F., Woyke, T., Shapiro, N., Lapidus, A., Klenk, H., and Küsel, K., 2021, Draft genome sequence of Bordetella sp. strain FB-8, isolated from a former uranium mining area in Germany: Microbiology Resource Announcements, v. 10, e01035-19, 3 p., https://doi.org/10.1128/MRA.01035-19.","productDescription":"e01035-19, 3 p.","ipdsId":"IP-110266","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":452737,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1128/mra.01035-19","text":"Publisher Index Page"},{"id":385018,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Germania","state":"Thuringia","otherGeospatial":"Gessen Creek, Ronneburg uranium mining district","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 12.144012451171875,\n 50.824264459477796\n ],\n [\n 12.231216430664062,\n 50.824264459477796\n ],\n [\n 12.231216430664062,\n 50.88278462778519\n ],\n [\n 12.144012451171875,\n 50.88278462778519\n ],\n [\n 12.144012451171875,\n 50.824264459477796\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"10","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Harris, Cassandra Rashan 0000-0001-9484-5466","orcid":"https://orcid.org/0000-0001-9484-5466","contributorId":257241,"corporation":false,"usgs":true,"family":"Harris","given":"Cassandra","email":"","middleInitial":"Rashan","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":813853,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Akob, Denise M. 0000-0003-1534-3025","orcid":"https://orcid.org/0000-0003-1534-3025","contributorId":204701,"corporation":false,"usgs":true,"family":"Akob","given":"Denise M.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":813854,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fabisch, Maria","contributorId":191122,"corporation":false,"usgs":false,"family":"Fabisch","given":"Maria","email":"","affiliations":[],"preferred":false,"id":813856,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Beulig, Felix","contributorId":245192,"corporation":false,"usgs":false,"family":"Beulig","given":"Felix","affiliations":[{"id":40121,"text":"Friedrich Schiller University Jena","active":true,"usgs":false}],"preferred":false,"id":813855,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Woyke, Tanya","contributorId":257242,"corporation":false,"usgs":false,"family":"Woyke","given":"Tanya","affiliations":[{"id":40122,"text":"DOE JGI","active":true,"usgs":false}],"preferred":false,"id":813857,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shapiro, Nicole","contributorId":220023,"corporation":false,"usgs":false,"family":"Shapiro","given":"Nicole","email":"","affiliations":[{"id":40122,"text":"DOE JGI","active":true,"usgs":false}],"preferred":false,"id":813858,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lapidus, Alla","contributorId":220024,"corporation":false,"usgs":false,"family":"Lapidus","given":"Alla","email":"","affiliations":[{"id":40122,"text":"DOE JGI","active":true,"usgs":false}],"preferred":false,"id":813859,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Klenk, Hans-Peter","contributorId":220025,"corporation":false,"usgs":false,"family":"Klenk","given":"Hans-Peter","email":"","affiliations":[{"id":33636,"text":"Newcastle University","active":true,"usgs":false}],"preferred":false,"id":813860,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Küsel, Kirsten","contributorId":96191,"corporation":false,"usgs":false,"family":"Küsel","given":"Kirsten","affiliations":[{"id":13425,"text":"Aquatic Geomicrobiology, Institute of Ecology, Friedrich Schiller University Jena, Germany","active":true,"usgs":false}],"preferred":false,"id":813861,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70220180,"text":"70220180 - 2021 - The systematics of chlorine, lithium, and boron and δ37Cl, δ7Li, and δ11B in the hydrothermal system of the Yellowstone Plateau Volcanic Field","interactions":[],"lastModifiedDate":"2021-04-22T14:49:13.696599","indexId":"70220180","displayToPublicDate":"2021-04-08T09:49:06","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1757,"text":"Geochemistry, Geophysics, Geosystems","active":true,"publicationSubtype":{"id":10}},"displayTitle":"The systematics of chlorine, lithium, and boron and δ37Cl, δ7Li, and δ11B in the hydrothermal system of the Yellowstone Plateau Volcanic Field","title":"The systematics of chlorine, lithium, and boron and δ37Cl, δ7Li, and δ11B in the hydrothermal system of the Yellowstone Plateau Volcanic Field","docAbstract":"

Chlorine, lithium, and boron are trace elements in rhyolite but are enriched in groundwater flowing through rhyolite because they tend to partition into the fluid phase during high‐temperature fluid‐rock reactions. We present a large data set of major element and δ37Cl, δ7Li, and δ11B compositions of thermal water and rhyolite from Yellowstone Plateau Volcanic Field (YPVF). The Cl/B, Cl/Li, δ37Cl (−0.2‰ to +0.7‰), and δ11B (−6.2‰ to −5.9‰) values of alkaline‐chloride thermal waters reflect high‐temperature leaching of chlorine, lithium, and boron from rhyolite that has δ37Cl and δ11B values of +0.1‰ to +0.9‰ and −6.3‰ to −6.2‰, respectively. Chlorine and boron are not reactive, but lithium incorporation into hydrothermal alteration minerals result​s in a large range of Cl/Li, B/Li, and δ7Li (−1.2‰ to +3.8‰) values in thermal waters. The relatively large range in δ7Li values of thermal waters reflects a large range of values in rhyolite. Large volumes of rhyolite must be leached to account for the chloride, lithium and boron fluxes, implying deep groundwater flow through rhyolite flows and tuffs representing Yellowstone's three eruptive cycles (∼2.1 Ma). Lower Cl/B values in acid‐sulfate waters result from preferential partitioning of boron into the vapor phase and enrichment in the near‐surface water condensate. The Cl/B, Cl/Li, δ7Li (−0.3‰ to +2.1‰), and δ11B (−8.0‰ to −8.1‰) values of travertine depositing calcium‐carbonate thermal waters which discharge in the northern and southern YPVF suggest that chlorine, lithium, and boron are derived from Mesozoic siliciclastic sediments which contain detrital material from the underlying metamorphic basement.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2020GC009589","usgsCitation":"Cullen, J.T., Hurwitz, S., Barnes, J., Lassiter, J.C., Penniston-Dorland, S., Meixner, A., Wilckens, F., Kasemann, S., and McCleskey, R., 2021, The systematics of chlorine, lithium, and boron and δ37Cl, δ7Li, and δ11B in the hydrothermal system of the Yellowstone Plateau Volcanic Field: Geochemistry, Geophysics, Geosystems, v. 22, no. 4, e2020GC009589, 24 p., https://doi.org/10.1029/2020GC009589.","productDescription":"e2020GC009589, 24 p.","ipdsId":"IP-126599","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":499914,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doaj.org/article/cb70c4542ffa4bcc904e4e798db02100","text":"External Repository"},{"id":385278,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Yellowstone Plateau Volcanic Field","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.0113525390625,\n 44.19795903948531\n ],\n [\n -109.9456787109375,\n 44.19795903948531\n ],\n [\n -109.9456787109375,\n 44.972570682240644\n ],\n [\n -111.0113525390625,\n 44.972570682240644\n ],\n [\n -111.0113525390625,\n 44.19795903948531\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"22","issue":"4","noUsgsAuthors":false,"publicationDate":"2021-04-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Cullen, Jeffrey T.","contributorId":140885,"corporation":false,"usgs":false,"family":"Cullen","given":"Jeffrey","email":"","middleInitial":"T.","affiliations":[{"id":13603,"text":"University of Texas, Austin","active":true,"usgs":false}],"preferred":false,"id":814649,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hurwitz, Shaul 0000-0001-5142-6886 shaulh@usgs.gov","orcid":"https://orcid.org/0000-0001-5142-6886","contributorId":2169,"corporation":false,"usgs":true,"family":"Hurwitz","given":"Shaul","email":"shaulh@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":814650,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barnes, Jaime D.","contributorId":140886,"corporation":false,"usgs":false,"family":"Barnes","given":"Jaime D.","affiliations":[{"id":13603,"text":"University of Texas, Austin","active":true,"usgs":false}],"preferred":false,"id":814651,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lassiter, John C","contributorId":257578,"corporation":false,"usgs":false,"family":"Lassiter","given":"John","email":"","middleInitial":"C","affiliations":[{"id":13603,"text":"University of Texas, Austin","active":true,"usgs":false}],"preferred":false,"id":814652,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Penniston-Dorland, Sarah","contributorId":257579,"corporation":false,"usgs":false,"family":"Penniston-Dorland","given":"Sarah","affiliations":[{"id":7083,"text":"University of Maryland","active":true,"usgs":false}],"preferred":false,"id":814653,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Meixner, Anette","contributorId":257580,"corporation":false,"usgs":false,"family":"Meixner","given":"Anette","email":"","affiliations":[{"id":24749,"text":"University of Bremen","active":true,"usgs":false}],"preferred":false,"id":814654,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wilckens, Frederike","contributorId":257583,"corporation":false,"usgs":false,"family":"Wilckens","given":"Frederike","email":"","affiliations":[{"id":24749,"text":"University of Bremen","active":true,"usgs":false}],"preferred":false,"id":814655,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kasemann, Simone A","contributorId":257585,"corporation":false,"usgs":false,"family":"Kasemann","given":"Simone A","affiliations":[{"id":24749,"text":"University of Bremen","active":true,"usgs":false}],"preferred":false,"id":814656,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"McCleskey, R. 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When used in conjunction with historic species’ distribution records and predictive habitat suitability modeling, genetic information adds a key piece to the puzzle that will increase the probability of successful ecosystem restoration.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Rewilding agricultural landscapes: a California study in rebalancing the needs of people and nature","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Island Press","usgsCitation":"Richmond, J.Q., Wood, D.A., and Matocq, M.D., 2021, Genetic considerations for rewilding the San Joaquin Desert, chap. 8 of Rewilding agricultural landscapes: a California study in rebalancing the needs of people and nature, p. 109-128.","productDescription":"20 p.","startPage":"109","endPage":"128","ipdsId":"IP-125484","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":412674,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Joaquin Desert","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -119.17782627056152,\n 35.01010185782188\n ],\n [\n -118.30695417496116,\n 35.621582059868544\n ],\n [\n -119.44808176516588,\n 37.07443079472277\n ],\n [\n -120.97833657128518,\n 36.86695517685743\n ],\n [\n -119.17782627056152,\n 35.01010185782188\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Richmond, Jonathan Q. 0000-0001-9398-4894 jrichmond@usgs.gov","orcid":"https://orcid.org/0000-0001-9398-4894","contributorId":5400,"corporation":false,"usgs":true,"family":"Richmond","given":"Jonathan","email":"jrichmond@usgs.gov","middleInitial":"Q.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":863290,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wood, Dustin A. 0000-0002-7668-9911 dawood@usgs.gov","orcid":"https://orcid.org/0000-0002-7668-9911","contributorId":4179,"corporation":false,"usgs":true,"family":"Wood","given":"Dustin","email":"dawood@usgs.gov","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":863291,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Matocq, Marjorie D","contributorId":222917,"corporation":false,"usgs":false,"family":"Matocq","given":"Marjorie","email":"","middleInitial":"D","affiliations":[{"id":16686,"text":"University of Nevada, Reno","active":true,"usgs":false}],"preferred":false,"id":863292,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70219526,"text":"70219526 - 2021 - Reconstructing the dynamics of the highly similar May 2016 and June 2019 Iliamna Volcano, Alaska ice–rock avalanches from seismoacoustic data","interactions":[],"lastModifiedDate":"2021-04-12T13:21:07.805475","indexId":"70219526","displayToPublicDate":"2021-04-08T08:08:15","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7942,"text":"Earth Surface Dynamics","active":true,"publicationSubtype":{"id":10}},"title":"Reconstructing the dynamics of the highly similar May 2016 and June 2019 Iliamna Volcano, Alaska ice–rock avalanches from seismoacoustic data","docAbstract":"

Surficial mass wasting events are a hazard worldwide. Seismic and acoustic signals from these often remote processes, combined with other geophysical observations, can provide key information for monitoring and rapid response efforts and enhance our understanding of event dynamics. Here, we present seismoacoustic data and analyses for two very large ice–rock avalanches occurring on Iliamna Volcano, Alaska (USA), on 22 May 2016 and 21 June 2019. Iliamna is a glacier-mantled stratovolcano located in the Cook Inlet, ∼200 km from Anchorage, Alaska. The volcano experiences massive, quasi-annual slope failures due to glacial instabilities and hydrothermal alteration of volcanic rocks near its summit. The May 2016 and June 2019 avalanches were particularly large and generated energetic seismic and infrasound signals which were recorded at numerous stations at ranges from ∼9 to over 600 km. Both avalanches initiated in the same location near the head of Iliamna's east-facing Red Glacier, and their ∼8 km long runout shapes are nearly identical. This repeatability – which is rare for large and rapid mass movements – provides an excellent opportunity for comparison and validation of seismoacoustic source characteristics. For both events, we invert long-period (15–80 s) seismic signals to obtain a force-time representation of the source. We model the avalanche as a sliding block which exerts a spatially static point force on the Earth. We use this force-time function to derive constraints on avalanche acceleration, velocity, and directionality, which are compatible with satellite imagery and observed terrain features. Our inversion results suggest that the avalanches reached speeds exceeding 70 m s−1, consistent with numerical modeling from previous Iliamna studies. We lack sufficient local infrasound data to test an acoustic source model for these processes. However, the acoustic data suggest that infrasound from these avalanches is produced after the mass movement regime transitions from cohesive block-type failure to granular and turbulent flow – little to no infrasound is generated by the initial failure. At Iliamna, synthesis of advanced numerical flow models and more detailed ground observations combined with increased geophysical station coverage could yield significant gains in our understanding of these events.

","language":"English","publisher":"Copernicus","doi":"10.5194/esurf-9-271-2021","usgsCitation":"Toney, L., Fee, D., Allstadt, K.E., Haney, M.M., and Matoza, R.S., 2021, Reconstructing the dynamics of the highly similar May 2016 and June 2019 Iliamna Volcano, Alaska ice–rock avalanches from seismoacoustic data: Earth Surface Dynamics, v. 9, p. 271-293, https://doi.org/10.5194/esurf-9-271-2021.","productDescription":"23 p.","startPage":"271","endPage":"293","ipdsId":"IP-122705","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":452741,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/esurf-9-271-2021","text":"Publisher Index Page"},{"id":385003,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Iliamna Volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -156.26953125,\n 59.712097173322924\n ],\n [\n -144.8876953125,\n 59.712097173322924\n ],\n [\n -144.8876953125,\n 63.31268278043484\n ],\n [\n -156.26953125,\n 63.31268278043484\n ],\n [\n -156.26953125,\n 59.712097173322924\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"9","noUsgsAuthors":false,"publicationDate":"2021-04-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Toney, Liam 0000-0003-0167-9433","orcid":"https://orcid.org/0000-0003-0167-9433","contributorId":257264,"corporation":false,"usgs":true,"family":"Toney","given":"Liam","email":"","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":813940,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fee, David","contributorId":251816,"corporation":false,"usgs":false,"family":"Fee","given":"David","affiliations":[{"id":6695,"text":"UAF","active":true,"usgs":false}],"preferred":false,"id":813941,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Allstadt, Kate E. 0000-0003-4977-5248","orcid":"https://orcid.org/0000-0003-4977-5248","contributorId":138704,"corporation":false,"usgs":true,"family":"Allstadt","given":"Kate","email":"","middleInitial":"E.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":813942,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haney, Matthew M. 0000-0003-3317-7884 mhaney@usgs.gov","orcid":"https://orcid.org/0000-0003-3317-7884","contributorId":172948,"corporation":false,"usgs":true,"family":"Haney","given":"Matthew","email":"mhaney@usgs.gov","middleInitial":"M.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":813943,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Matoza, Robin S.","contributorId":257265,"corporation":false,"usgs":false,"family":"Matoza","given":"Robin","email":"","middleInitial":"S.","affiliations":[{"id":36524,"text":"University of California, Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":813944,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70220250,"text":"70220250 - 2021 - How does climate change affect emergent properties of aquatic ecosystems?","interactions":[],"lastModifiedDate":"2021-10-06T14:46:11.485632","indexId":"70220250","displayToPublicDate":"2021-04-08T07:49:06","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1657,"text":"Fisheries","onlineIssn":"1548-8446","printIssn":"0363-2415","active":true,"publicationSubtype":{"id":10}},"title":"How does climate change affect emergent properties of aquatic ecosystems?","docAbstract":"

Emergent properties of ecosystems are community attributes, such as structure and function, that arise from connections and interactions (e.g., predator–prey, competition) among populations, species, or assemblages that, when viewed together, provide a holistic representation that is more than the sum of its individual parts. Climate change is altering emergent properties of aquatic ecosystems through component responses, a combination of shifts in species range, phenology, distribution, and productivity, which lead to novel ecosystems that have no historical analog. The reshuffling, restructuring, and rewiring of aquatic ecosystems due to climate impacts are of high concern for natural resource management and conservation as these changes can lead to species extinctions and reductions in ecosystem services. Overall, we found that substantial progress has been made to advance our understanding of how climate change is affecting emergent properties of aquatic ecosystems. However, responses are incredibly complex, and high uncertainty remains for how systems will reorganize and function over the coming decades. This cross‐system perspective summarizes the state of knowledge of climate‐driven emergent properties in aquatic habitats with case studies that highlight mechanisms of change, observed or anticipated outcomes, as well as insights into confounding non‐climate effects, research tools, and management approaches to advance the field.

","language":"English","publisher":"American Fisheries Society","doi":"10.1002/fsh.10606","usgsCitation":"Staudinger, M., Lynch, A., Gaichas, S., Fox, M., Gibson-Reinemer, D., Langan, J., Teffer, A.K., Thackeray, S., and Winfield, I., 2021, How does climate change affect emergent properties of aquatic ecosystems?: Fisheries, v. 46, no. 9, p. 423-441, https://doi.org/10.1002/fsh.10606.","productDescription":"19 p.","startPage":"423","endPage":"441","ipdsId":"IP-118193","costCenters":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":452743,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/fsh.10606","text":"Publisher Index Page"},{"id":385385,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"46","issue":"9","noUsgsAuthors":false,"publicationDate":"2021-06-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Staudinger, Michelle 0000-0002-4535-2005","orcid":"https://orcid.org/0000-0002-4535-2005","contributorId":206655,"corporation":false,"usgs":true,"family":"Staudinger","given":"Michelle","affiliations":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":814895,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lynch, Abigail 0000-0001-8449-8392 ajlynch@usgs.gov","orcid":"https://orcid.org/0000-0001-8449-8392","contributorId":169460,"corporation":false,"usgs":true,"family":"Lynch","given":"Abigail","email":"ajlynch@usgs.gov","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":814896,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gaichas, Sarah","contributorId":212185,"corporation":false,"usgs":false,"family":"Gaichas","given":"Sarah","email":"","affiliations":[{"id":38436,"text":"National Oceanic and Atmospheric Administration","active":true,"usgs":false}],"preferred":false,"id":814897,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fox, Michael","contributorId":257690,"corporation":false,"usgs":false,"family":"Fox","given":"Michael","email":"","affiliations":[{"id":36679,"text":"Trent University","active":true,"usgs":false}],"preferred":false,"id":814898,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gibson-Reinemer, Daniel","contributorId":257693,"corporation":false,"usgs":false,"family":"Gibson-Reinemer","given":"Daniel","email":"","affiliations":[{"id":36894,"text":"Illinois Natural History Survey","active":true,"usgs":false}],"preferred":false,"id":814899,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Langan, Joseph","contributorId":257696,"corporation":false,"usgs":false,"family":"Langan","given":"Joseph","email":"","affiliations":[{"id":39114,"text":"URI","active":true,"usgs":false}],"preferred":false,"id":814900,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Teffer, Amy K.","contributorId":257699,"corporation":false,"usgs":false,"family":"Teffer","given":"Amy","email":"","middleInitial":"K.","affiliations":[{"id":37201,"text":"UMass Amherst","active":true,"usgs":false}],"preferred":false,"id":814901,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Thackeray, Stephen","contributorId":257701,"corporation":false,"usgs":false,"family":"Thackeray","given":"Stephen","affiliations":[{"id":51971,"text":"UK Centre for Ecology & Hydrology","active":true,"usgs":false}],"preferred":false,"id":814902,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Winfield, Ian","contributorId":257704,"corporation":false,"usgs":false,"family":"Winfield","given":"Ian","affiliations":[{"id":51971,"text":"UK Centre for Ecology & Hydrology","active":true,"usgs":false}],"preferred":false,"id":814903,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70223223,"text":"70223223 - 2021 - Assessing the biological reactivity of organic compounds on volcanic ash: Implications for human health hazard","interactions":[],"lastModifiedDate":"2021-08-19T13:39:45.743954","indexId":"70223223","displayToPublicDate":"2021-04-08T07:42:43","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1109,"text":"Bulletin of Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"Assessing the biological reactivity of organic compounds on volcanic ash: Implications for human health hazard","docAbstract":"

Exposure to volcanic ash is a long-standing health concern for people living near active volcanoes and in distal urban areas. During transport and deposition, ash is subjected to various physicochemical processes that may change its surface composition and, consequently, bioreactivity. One such process is the interaction with anthropogenic pollutants; however, the potential for adsorbed, deleterious organic compounds to directly impact human health is unknown. We use an in vitro bioanalytical approach to screen for the presence of organic compounds of toxicological concern on ash surfaces and assess their biological potency. These compounds include polycyclic aromatic hydrocarbons (PAHs), polychlorinated dibenzo-p-dioxins and dibenzofurans (PCDD/Fs) and dioxin-like polychlorinated biphenyls (dlPCBs). Analysis of ash collected in or near urbanised areas at five active volcanoes across the world (Etna, Italy; Fuego, Guatemala; Kelud, Indonesia; Sakurajima, Japan; Tungurahua, Ecuador) using the bioassay inferred the presence of such compounds on all samples. A relatively low response to PCDD/Fs and the absence of a dlPCBs response in the bioassay suggest that the measured activity is dominated by PAHs and PAH-like compounds. This study is the first to demonstrate a biological potency of organic pollutants associated with volcanic ash particles. According to our estimations, they are present in quantities below recommended exposure limits and likely pose a low direct concern for human health.

","language":"English","publisher":"Springer","doi":"10.1007/s00445-021-01453-4","usgsCitation":"Tomasek, I., Damby, D., Andronico, D., Baxter, P.J., Boonen, I., Claeys, P., Denison, M.S., Horwell, C.J., Kervyn, M., Kueppers, U., Romanias, M.N., and Elskens, M., 2021, Assessing the biological reactivity of organic compounds on volcanic ash: Implications for human health hazard: Bulletin of Volcanology, v. 83, 30, 11 p., https://doi.org/10.1007/s00445-021-01453-4.","productDescription":"30, 11 p.","ipdsId":"IP-127320","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":452747,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00445-021-01453-4","text":"Publisher Index Page"},{"id":388090,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"83","noUsgsAuthors":false,"publicationDate":"2021-04-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Tomasek, Ines","contributorId":205741,"corporation":false,"usgs":false,"family":"Tomasek","given":"Ines","email":"","affiliations":[{"id":37158,"text":"Institute of Hazard, Risk & Resilience, Department of Earth Sciences, Durham University, UK","active":true,"usgs":false}],"preferred":false,"id":821436,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Damby, David 0000-0002-3238-3961","orcid":"https://orcid.org/0000-0002-3238-3961","contributorId":206614,"corporation":false,"usgs":true,"family":"Damby","given":"David","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":821437,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Andronico, Daniele 0000-0002-8333-1547","orcid":"https://orcid.org/0000-0002-8333-1547","contributorId":259163,"corporation":false,"usgs":false,"family":"Andronico","given":"Daniele","email":"","affiliations":[{"id":52323,"text":"Istituto Nazionale di Geofisica e Vulcanologia, Osservatorio Etneo","active":true,"usgs":false}],"preferred":false,"id":821438,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baxter, Peter J.","contributorId":201839,"corporation":false,"usgs":false,"family":"Baxter","given":"Peter","email":"","middleInitial":"J.","affiliations":[{"id":27136,"text":"University of Cambridge","active":true,"usgs":false}],"preferred":false,"id":821439,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Boonen, Imke","contributorId":264393,"corporation":false,"usgs":false,"family":"Boonen","given":"Imke","email":"","affiliations":[{"id":36563,"text":"Vrije Universiteit Brussel, Belgium","active":true,"usgs":false}],"preferred":false,"id":821440,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Claeys, Philippe","contributorId":219450,"corporation":false,"usgs":false,"family":"Claeys","given":"Philippe","email":"","affiliations":[],"preferred":false,"id":821441,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Denison, Michael S.","contributorId":176817,"corporation":false,"usgs":false,"family":"Denison","given":"Michael","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":821442,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Horwell, Claire J.","contributorId":177455,"corporation":false,"usgs":false,"family":"Horwell","given":"Claire","email":"","middleInitial":"J.","affiliations":[{"id":16770,"text":"Dept. Earth Sciences, Durham University, UK","active":true,"usgs":false}],"preferred":false,"id":821443,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kervyn, Matthieu","contributorId":213338,"corporation":false,"usgs":false,"family":"Kervyn","given":"Matthieu","email":"","affiliations":[],"preferred":false,"id":821444,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kueppers, Ulrich","contributorId":178534,"corporation":false,"usgs":false,"family":"Kueppers","given":"Ulrich","affiliations":[],"preferred":false,"id":821445,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Romanias, Manolis N","contributorId":264396,"corporation":false,"usgs":false,"family":"Romanias","given":"Manolis","email":"","middleInitial":"N","affiliations":[{"id":54452,"text":"University Lille, France","active":true,"usgs":false}],"preferred":false,"id":821446,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Elskens, Marc","contributorId":264374,"corporation":false,"usgs":false,"family":"Elskens","given":"Marc","email":"","affiliations":[{"id":36563,"text":"Vrije Universiteit Brussel, Belgium","active":true,"usgs":false}],"preferred":false,"id":821447,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70220260,"text":"70220260 - 2021 - A food web including parasites for kelp forests of the Santa Barbara Channel, California","interactions":[],"lastModifiedDate":"2021-04-29T12:41:34.184802","indexId":"70220260","displayToPublicDate":"2021-04-08T07:34:21","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3907,"text":"Scientific Data","active":true,"publicationSubtype":{"id":10}},"title":"A food web including parasites for kelp forests of the Santa Barbara Channel, California","docAbstract":"

We built a high-resolution topological food web for the kelp forests of the Santa Barbara Channel, California, USA that includes parasites and significantly improves resolution compared to previous webs. The 1,098 nodes and 21,956 links in the web describe an economically, socially, and ecologically vital system. Nodes are broken into life-stages, with 549 free-living life-stages (492 species from 21 Phyla) and 549 parasitic life-stages (450 species from 10 Phyla). Links represent three kinds of trophic interactions, with 9,352 predator-prey links, 2,733 parasite-host links and 9,871 predator-parasite links. All decisions for including nodes and links are documented, and extensive metadata in the node list allows users to filter the node list to suit their research questions. The kelp-forest food web is more species-rich than any other published food web with parasites, and it has the largest proportion of parasites. Our food web may be used to predict how kelp forests may respond to change, will advance our understanding of parasites in ecosystems, and fosters development of theory that incorporates large networks.

","language":"English","publisher":"Nature","doi":"10.1038/s41597-021-00880-4","usgsCitation":"Morton, D.N., Antonino, C.Y., Broughton, F.J., Dykman, L.N., Kuris, A.M., and Lafferty, K.D., 2021, A food web including parasites for kelp forests of the Santa Barbara Channel, California: Scientific Data, v. 8, 99, 14 p., https://doi.org/10.1038/s41597-021-00880-4.","productDescription":"99, 14 p.","ipdsId":"IP-124484","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":452760,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41597-021-00880-4","text":"Publisher Index Page"},{"id":385383,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Santa Barbara Channel","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.58593749999999,\n 33.55512901742288\n ],\n [\n -118.93249511718749,\n 33.55512901742288\n ],\n [\n -118.93249511718749,\n 34.52918706954935\n ],\n [\n -120.58593749999999,\n 34.52918706954935\n ],\n [\n -120.58593749999999,\n 33.55512901742288\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"8","noUsgsAuthors":false,"publicationDate":"2021-04-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Morton, Dana N.","contributorId":224397,"corporation":false,"usgs":false,"family":"Morton","given":"Dana","email":"","middleInitial":"N.","affiliations":[{"id":37180,"text":"UC Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":814916,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Antonino, Cristiana Y. 0000-0002-3352-9344","orcid":"https://orcid.org/0000-0002-3352-9344","contributorId":257725,"corporation":false,"usgs":false,"family":"Antonino","given":"Cristiana","email":"","middleInitial":"Y.","affiliations":[{"id":52092,"text":"College of Creative Studies, University of California, Santa Barbara, CA, 93106-6150, USA","active":true,"usgs":false}],"preferred":true,"id":814917,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Broughton, Farallon J","contributorId":257726,"corporation":false,"usgs":false,"family":"Broughton","given":"Farallon","email":"","middleInitial":"J","affiliations":[{"id":52092,"text":"College of Creative Studies, University of California, Santa Barbara, CA, 93106-6150, USA","active":true,"usgs":false}],"preferred":false,"id":814918,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dykman, Lauren N","contributorId":257727,"corporation":false,"usgs":false,"family":"Dykman","given":"Lauren","email":"","middleInitial":"N","affiliations":[{"id":52094,"text":"Department of Ecology, Evolution, and Marine Biology, University of California, Santa Barbara, CA, 93106-6150, USA","active":true,"usgs":false}],"preferred":false,"id":814919,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kuris, Armand M.","contributorId":189859,"corporation":false,"usgs":false,"family":"Kuris","given":"Armand","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":814920,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lafferty, Kevin D. 0000-0001-7583-4593 klafferty@usgs.gov","orcid":"https://orcid.org/0000-0001-7583-4593","contributorId":1415,"corporation":false,"usgs":true,"family":"Lafferty","given":"Kevin","email":"klafferty@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":814921,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ]}