Basin-characteristic measurements related to stream length, stream slope, stream density, and stream order have been identified as significant variables for estimation of flood, flow-duration, and low-flow discharges in Iowa. The placement of channel initiation points, however, has always been a matter of individual interpretation, leading to differences in stream definitions between analysts.
This study investigated five different methods to define stream initiation using 3-meter light detection and ranging (lidar) digital elevation models (DEMs) data for 17 streamgages with drainage areas less than 50 square miles within the Des Moines Lobe landform region in north-central Iowa. Each DEM was hydrologically enforced and the five stream initiation methods were used to define channel initiation points and the downstream flow paths. The five different methods to define stream initiation were tested side-by-side for three watershed delineations: (1) the total drainage-area delineation, (2) an effective drainage-area delineation of basins based on a 2-percent annual exceedance probability (AEP) 12-hour rainfall, and (3) an effective drainage-area delineation based on a 20-percent AEP 12-hour rainfall.
Generalized least squares regression analysis was used to develop a set of equations for sites in the Des Moines Lobe landform region for estimating discharges for ungaged stream sites with 50-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent AEPs. A total of 17 streamgages were included in the development of the regression equations. In addition, geographic information system software was used to measure 58 selected basin-characteristics for each streamgage.
Results of the regression analyses of the 15 lidar datasets indicate that the datasets that produce regional regression equations (RREs) with the best overall predictive accuracy are the National Hydrographic Dataset, Iowa Department of Natural Resources, and profile curvature of 0.5 stream initiation methods combined with the 20-percent AEP 12-hour rainfall watershed delineation method. These RREs have a mean average standard error of prediction (SEP) for 4-, 2-, and 1-percent AEP discharges of 53.9 percent and a mean SEP for all eight AEPs of 55.5 percent. Compared to the RREs developed in this study using the basin characteristics from the U.S. Geological Survey StreamStats application, the lidar basin characteristics provide better overall predictive accuracy.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175108","collaboration":"Prepared in cooperation with the Iowa Department of Transportation and the Iowa Highway Research Board (Project TR–692) ","usgsCitation":"Eash, D.A., Barnes, K.K., O’Shea, P.S., and Gelder, B.K., 2018, Stream-channel and watershed delineations and basin-characteristic measurements using lidar elevation data for small drainage basins within the Des Moines Lobe landform region in Iowa: U.S. Geological Survey Scientific Investigations Report 2017–5108, 23 p., https://doi.org/10.3133/sir20175108. ","productDescription":"vi, 23 p.","numberOfPages":"34","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-081688","costCenters":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"links":[{"id":351551,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5108/coverthb.jpg"},{"id":351552,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5108/sir20175108.pdf","text":"Report","size":"1.48 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017-5108"}],"country":"United States","state":"Iowa","otherGeospatial":"Des Moines Lobe landform region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -96,\n 41.5\n ],\n [\n -93,\n 41.5\n ],\n [\n -93,\n 43.50075243569041\n ],\n [\n -96,\n 43.50075243569041\n ],\n [\n -96,\n 41.5\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Central Midwest Water Science Center
U.S. Geological Survey
400 S. Clinton St., Rm 269
Iowa City, IA 52240
At Kawah Ijen (Indonesia), vigorous SO2 and HCl degassing sustains a hyperacid lake (pH ~0) and intensely alters the subsurface, producing widespread residual silica and advanced argillic alteration products. In 1817, a VEI 2 phreatomagmatic eruption evacuated the lake, depositing a widespread layer of muddy ash fall, and sending lahars down river drainages. We discovered multiple types of opaline silica in juvenile low-silica dacite pumice and in particles within co-erupted laharic sediments. Most spectacular are opal-replaced phenocrysts of plagioclase and pyroxene adjacent to pristine matrix glass and melt inclusions. Opal-bearing pumice has been found at numerous sites, including where post-eruption infiltration of acid water is unlikely. Through detailed analyses of an initial sampling of 1817 eruption products, we find evidence for multiple origins of opaline materials in pumice and laharic sediments. Evidently, magma encountered acid-altered materials in the subsurface and triggered phreatomagmatic eruptions. Syn-eruptive incorporation of opal-alunite clasts, layered opal, and fragment-filled vesicles of opal and glass, all suggest magma-rock interactions in concert with vesiculation, followed by cooling within minutes. Our experiments at magmatic temperature confirm that the opaline materials would show noticeable degradation in time periods longer than a few tens of minutes. Some glassy laharic sedimentary grains are more andesitic than the main pumice type and may represent older volcanic materials that were altered beneath the lake bottom and were forcefully ejected during the 1817 eruption. A post-eruptive origin remains likely for most of the opal-replaced phenocrysts in pumice. Experiments at 25°C and 100°C reveal that when fresh pumice is bathed in Kawah Ijen hyperacid fluid for 6 weeks, plagioclase is replaced without altering either matrix glass or melt inclusions. Moreover, lack of evidence for high-temperature annealing of the opal suggests that post-eruption alteration of pumice is more likely than pre-eruption envelopment of euhedral opal-replaced phenocrysts in dacitic melt. At Ijen and elsewhere, the ascent of magma into hydrous acid-altered mineral assemblages (e.g., opal, kaolinite, alunite) could induce rapid dehydration of hydrous minerals and amorphous materials, generating considerable steam and contributing to magmatic-hydrothermal and phreatomagmatic explosions.
","language":"English","publisher":"Frontiers Media","doi":"10.3389/feart.2018.00011","usgsCitation":"Lowenstern, J.B., van Hinsberg, V., Berlo, K., Liesegang, M., Iacovino, K.D., Bindeman, I.N., and Wright, H.M., 2018, Opal-A in glassy pumice, acid alteration, and the 1817 phreatomagmatic eruption at Kawah Ijen (Java), Indonesia: Frontiers in Earth Science, v. 6, Article 11; 21 p., https://doi.org/10.3389/feart.2018.00011.","productDescription":"Article 11; 21 p.","ipdsId":"IP-091995","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":461039,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/feart.2018.00011","text":"Publisher Index Page"},{"id":351579,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Indonesia","otherGeospatial":"Kawah Ijen","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 113.15917968749999,\n -9.00445156167208\n ],\n [\n 114.697265625,\n -9.00445156167208\n ],\n [\n 114.697265625,\n -7.438730529686968\n ],\n [\n 113.15917968749999,\n -7.438730529686968\n ],\n [\n 113.15917968749999,\n -9.00445156167208\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-02-13","publicationStatus":"PW","scienceBaseUri":"5afee72fe4b0da30c1bfc192","contributors":{"authors":[{"text":"Lowenstern, Jacob B. 0000-0003-0464-7779 jlwnstrn@usgs.gov","orcid":"https://orcid.org/0000-0003-0464-7779","contributorId":2755,"corporation":false,"usgs":true,"family":"Lowenstern","given":"Jacob","email":"jlwnstrn@usgs.gov","middleInitial":"B.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":728512,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"van Hinsberg, Vincent","contributorId":194974,"corporation":false,"usgs":false,"family":"van Hinsberg","given":"Vincent","affiliations":[],"preferred":false,"id":728513,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Berlo, Kim","contributorId":55324,"corporation":false,"usgs":true,"family":"Berlo","given":"Kim","affiliations":[],"preferred":false,"id":728514,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Liesegang, Moritz","contributorId":202477,"corporation":false,"usgs":false,"family":"Liesegang","given":"Moritz","email":"","affiliations":[],"preferred":false,"id":728515,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Iacovino, Kayla D. kiacovino@usgs.gov","contributorId":5737,"corporation":false,"usgs":true,"family":"Iacovino","given":"Kayla","email":"kiacovino@usgs.gov","middleInitial":"D.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":false,"id":728516,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bindeman, Ilya N.","contributorId":175500,"corporation":false,"usgs":false,"family":"Bindeman","given":"Ilya","email":"","middleInitial":"N.","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":728517,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wright, Heather M. 0000-0001-9013-507X hwright@usgs.gov","orcid":"https://orcid.org/0000-0001-9013-507X","contributorId":3949,"corporation":false,"usgs":true,"family":"Wright","given":"Heather","email":"hwright@usgs.gov","middleInitial":"M.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":728518,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70195425,"text":"70195425 - 2018 - Assessing the impact of stocking northern-origin hatchery brook trout on the genetics of wild populations in North Carolina","interactions":[],"lastModifiedDate":"2018-02-14T10:54:03","indexId":"70195425","displayToPublicDate":"2018-02-14T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1324,"text":"Conservation Genetics","active":true,"publicationSubtype":{"id":10}},"title":"Assessing the impact of stocking northern-origin hatchery brook trout on the genetics of wild populations in North Carolina","docAbstract":"The release of hatchery-origin fish into streams with endemics can degrade the genetics of wild populations if interbreeding occurs. Starting in the 1800s, brook trout descendent from wild populations in the northeastern United States were stocked from hatcheries into streams across broad areas of North America to create and enhance fishery resources. Across the southeastern United States, many millions of hatchery-origin brook trout have been released into hundreds of streams, but the extent of introgression with native populations is not well resolved despite large phylogeographic distances between these groups. We used three assessment approaches based on 12 microsatellite loci to examine the extent of hatchery introgression in 406 wild brook trout populations in North Carolina. We found high levels of differentiation among most collections (mean F′ST = 0.718), and among most wild collections and hatchery strains (mean F′ST = 0.732). Our assessment of hatchery introgression was consistent across the three metrics, and indicated that most wild populations have not been strongly influenced by supplemental stocking. However, a small proportion of wild populations in North Carolina appear to have been strongly influenced by stocked conspecifics, or in some cases, may have been founded entirely by hatchery lineages. In addition, we found significant differences in the apparent extent of hatchery introgression among major watersheds, with the Savannah River being the most strongly impacted. Conversely, populations in the Pee Dee River watershed showed little to no evidence of hatchery introgression. Our study represents the first large-scale effort to quantify the extent of hatchery introgression across brook trout populations in the southern Appalachians using highly polymorphic microsatellite markers.
","language":"English","publisher":"Springer","doi":"10.1007/s10592-017-1037-4","usgsCitation":"Kazyak, D., Rash, J., Lubinski, B.A., and King, T.L., 2018, Assessing the impact of stocking northern-origin hatchery brook trout on the genetics of wild populations in North Carolina: Conservation Genetics, v. 19, no. 1, p. 207-219, https://doi.org/10.1007/s10592-017-1037-4.","productDescription":"13 p.","startPage":"207","endPage":"219","ipdsId":"IP-083680","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":438014,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F76M35TN","text":"USGS data release","linkHelpText":"Population genetics metrics for wild brook trout populations in North Carolina (1998-2016)"},{"id":351594,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.320068359375,\n 34.994003757575776\n ],\n [\n -80.771484375,\n 34.994003757575776\n ],\n [\n -80.771484375,\n 36.56260003738545\n ],\n [\n -84.320068359375,\n 36.56260003738545\n ],\n [\n -84.320068359375,\n 34.994003757575776\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"19","issue":"1","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2017-12-27","publicationStatus":"PW","scienceBaseUri":"5afee72fe4b0da30c1bfc190","contributors":{"authors":[{"text":"Kazyak, David C. 0000-0001-9860-4045","orcid":"https://orcid.org/0000-0001-9860-4045","contributorId":202481,"corporation":false,"usgs":true,"family":"Kazyak","given":"David C.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":728546,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rash, Jacob","contributorId":202482,"corporation":false,"usgs":false,"family":"Rash","given":"Jacob","affiliations":[{"id":36454,"text":"North Carolina Wildlife Resources Commission","active":true,"usgs":false}],"preferred":false,"id":728547,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lubinski, Barbara A. 0000-0003-3568-2569","orcid":"https://orcid.org/0000-0003-3568-2569","contributorId":202483,"corporation":false,"usgs":true,"family":"Lubinski","given":"Barbara","email":"","middleInitial":"A.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":728548,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"King, Tim L.","contributorId":48070,"corporation":false,"usgs":true,"family":"King","given":"Tim","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":728549,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70195396,"text":"70195396 - 2018 - The metabolic regimes of flowing waters","interactions":[],"lastModifiedDate":"2018-03-12T13:06:17","indexId":"70195396","displayToPublicDate":"2018-02-13T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2620,"text":"Limnology and Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"The metabolic regimes of flowing waters","docAbstract":"The processes and biomass that characterize any ecosystem are fundamentally constrained by the total amount of energy that is either fixed within or delivered across its boundaries. Ultimately, ecosystems may be understood and classified by their rates of total and net productivity and by the seasonal patterns of photosynthesis and respiration. Such understanding is well developed for terrestrial and lentic ecosystems but our understanding of ecosystem phenology has lagged well behind for rivers. The proliferation of reliable and inexpensive sensors for monitoring dissolved oxygen and carbon dioxide is underpinning a revolution in our understanding of the ecosystem energetics of rivers. Here, we synthesize our current understanding of the drivers and constraints on river metabolism, and set out a research agenda aimed at characterizing, classifying and modeling the current and future metabolic regimes of flowing waters.
","language":"English","publisher":"Association for the Sciences of Limnology and Oceanography","doi":"10.1002/lno.10726","usgsCitation":"Bernhardt, E., Heffernan, J.B., Grimm, N.B., Stanley, E.H., Harvey, J., Arroita, M., Appling, A.P., Cohen, M., McDowell, W.H., Hall, R., Read, J.S., Roberts, B., Stets, E.G., and Yackulic, C.B., 2018, The metabolic regimes of flowing waters: Limnology and Oceanography, v. 63, no. S1, p. S99-S118, https://doi.org/10.1002/lno.10726.","productDescription":"20 p.","startPage":"S99","endPage":"S118","ipdsId":"IP-090174","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":461041,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/lno.10726","text":"Publisher Index Page"},{"id":351535,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"63","issue":"S1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-12","publicationStatus":"PW","scienceBaseUri":"5afee730e4b0da30c1bfc19c","contributors":{"authors":[{"text":"Bernhardt, Emily S.","contributorId":92143,"corporation":false,"usgs":false,"family":"Bernhardt","given":"Emily S.","affiliations":[{"id":27331,"text":"Duke University, Durham, NC","active":true,"usgs":false}],"preferred":false,"id":728399,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Heffernan, Jim B.","contributorId":202432,"corporation":false,"usgs":false,"family":"Heffernan","given":"Jim","email":"","middleInitial":"B.","affiliations":[{"id":36435,"text":"Nicholas School of the Environment, Duke University","active":true,"usgs":false}],"preferred":false,"id":728398,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grimm, Nancy B.","contributorId":44058,"corporation":false,"usgs":false,"family":"Grimm","given":"Nancy","email":"","middleInitial":"B.","affiliations":[{"id":24511,"text":"Arizona State University, Tempe AZ USA 85287","active":true,"usgs":false}],"preferred":false,"id":728400,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stanley, Emily H.","contributorId":55725,"corporation":false,"usgs":false,"family":"Stanley","given":"Emily","email":"","middleInitial":"H.","affiliations":[{"id":12951,"text":"Center for Limnology, University of Wisconsin Madison","active":true,"usgs":false}],"preferred":false,"id":728401,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Harvey, Judson 0000-0002-2654-9873 jwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2654-9873","contributorId":140228,"corporation":false,"usgs":true,"family":"Harvey","given":"Judson","email":"jwharvey@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":false,"id":728397,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Arroita, M.","contributorId":202435,"corporation":false,"usgs":false,"family":"Arroita","given":"M.","affiliations":[{"id":36438,"text":"Department of Plant Biology and Ecology, University of the Basque Country, Bilbao, 48080, Spain","active":true,"usgs":false}],"preferred":false,"id":728402,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Appling, Alison P. 0000-0003-3638-8572 aappling@usgs.gov","orcid":"https://orcid.org/0000-0003-3638-8572","contributorId":150595,"corporation":false,"usgs":true,"family":"Appling","given":"Alison","email":"aappling@usgs.gov","middleInitial":"P.","affiliations":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true}],"preferred":true,"id":728403,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Cohen, M.J.","contributorId":202436,"corporation":false,"usgs":false,"family":"Cohen","given":"M.J.","email":"","affiliations":[{"id":36439,"text":"School of Forest Resources and Conservation, University of Florida, Gainesville FL","active":true,"usgs":false}],"preferred":false,"id":728404,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"McDowell, William H.","contributorId":198684,"corporation":false,"usgs":false,"family":"McDowell","given":"William","email":"","middleInitial":"H.","affiliations":[{"id":18105,"text":"University of New Hampshire, Durham","active":true,"usgs":false}],"preferred":false,"id":728405,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hall, R.O.","contributorId":202438,"corporation":false,"usgs":false,"family":"Hall","given":"R.O.","email":"","affiliations":[{"id":36441,"text":"Department of Zoology and Physiology, University of Wyoming, Laramie, WY","active":true,"usgs":false}],"preferred":false,"id":728406,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Read, Jordan S. 0000-0002-3888-6631 jread@usgs.gov","orcid":"https://orcid.org/0000-0002-3888-6631","contributorId":4453,"corporation":false,"usgs":true,"family":"Read","given":"Jordan","email":"jread@usgs.gov","middleInitial":"S.","affiliations":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true}],"preferred":true,"id":728410,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Roberts, B.J.","contributorId":202439,"corporation":false,"usgs":false,"family":"Roberts","given":"B.J.","email":"","affiliations":[{"id":36442,"text":"Louisiana Universities Marine Consortium, Chauvin LA","active":true,"usgs":false}],"preferred":false,"id":728407,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Stets, Edward G. 0000-0001-5375-0196 estets@usgs.gov","orcid":"https://orcid.org/0000-0001-5375-0196","contributorId":194490,"corporation":false,"usgs":true,"family":"Stets","given":"Edward","email":"estets@usgs.gov","middleInitial":"G.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":728408,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Yackulic, Charles B. 0000-0001-9661-0724 cyackulic@usgs.gov","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":4662,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","email":"cyackulic@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":728409,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70195403,"text":"70195403 - 2018 - Estimating floodwater depths from flood inundation maps and topography","interactions":[],"lastModifiedDate":"2018-08-03T16:20:24","indexId":"70195403","displayToPublicDate":"2018-02-13T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Estimating floodwater depths from flood inundation maps and topography","docAbstract":"Information on flood inundation extent is important for understanding societal exposure, water storage volumes, flood wave attenuation, future flood hazard, and other variables. A number of organizations now provide flood inundation maps based on satellite remote sensing. These data products can efficiently and accurately provide the areal extent of a flood event, but do not provide floodwater depth, an important attribute for first responders and damage assessment. Here we present a new methodology and a GIS-based tool, the Floodwater Depth Estimation Tool (FwDET), for estimating floodwater depth based solely on an inundation map and a digital elevation model (DEM). We compare the FwDET results against water depth maps derived from hydraulic simulation of two flood events, a large-scale event for which we use medium resolution input layer (10 m) and a small-scale event for which we use a high-resolution (LiDAR; 1 m) input. Further testing is performed for two inundation maps with a number of challenging features that include a narrow valley, a large reservoir, and an urban setting. The results show FwDET can accurately calculate floodwater depth for diverse flooding scenarios but also leads to considerable bias in locations where the inundation extent does not align well with the DEM. In these locations, manual adjustment or higher spatial resolution input is required.
","language":"English","publisher":"Wiley","doi":"10.1111/1752-1688.12609","usgsCitation":"Cohen, S., Brakenridge, G.R., Kettner, A., Bates, B., Nelson, J.M., McDonald, R.R., Huang, Y., Munasinghe, D., and Zhang, J., 2018, Estimating floodwater depths from flood inundation maps and topography: Journal of the American Water Resources Association, v. 54, no. 4, p. 847-858, https://doi.org/10.1111/1752-1688.12609.","productDescription":"12 p.","startPage":"847","endPage":"858","ipdsId":"IP-085532","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":469000,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1752-1688.12609","text":"Publisher Index Page"},{"id":351559,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"54","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-17","publicationStatus":"PW","scienceBaseUri":"5afee730e4b0da30c1bfc19a","contributors":{"authors":[{"text":"Cohen, Sagy","contributorId":202461,"corporation":false,"usgs":false,"family":"Cohen","given":"Sagy","email":"","affiliations":[{"id":36450,"text":"Department of Geography, University of Alabama, Tuscaloosa, AL 35487, USA","active":true,"usgs":false}],"preferred":false,"id":728452,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brakenridge, G. Robert","contributorId":202462,"corporation":false,"usgs":false,"family":"Brakenridge","given":"G.","email":"","middleInitial":"Robert","affiliations":[{"id":36451,"text":"Institute of Arctic and Alpine Research, University of Colorado, Boulder, CO 80309, USA","active":true,"usgs":false}],"preferred":false,"id":728453,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kettner, Albert","contributorId":202463,"corporation":false,"usgs":false,"family":"Kettner","given":"Albert","affiliations":[{"id":36451,"text":"Institute of Arctic and Alpine Research, University of Colorado, Boulder, CO 80309, USA","active":true,"usgs":false}],"preferred":false,"id":728454,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bates, Bradford","contributorId":202464,"corporation":false,"usgs":false,"family":"Bates","given":"Bradford","email":"","affiliations":[{"id":36450,"text":"Department of Geography, University of Alabama, Tuscaloosa, AL 35487, USA","active":true,"usgs":false}],"preferred":false,"id":728455,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nelson, Jonathan M. 0000-0002-7632-8526 jmn@usgs.gov","orcid":"https://orcid.org/0000-0002-7632-8526","contributorId":2812,"corporation":false,"usgs":true,"family":"Nelson","given":"Jonathan","email":"jmn@usgs.gov","middleInitial":"M.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":728451,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McDonald, Richard R. 0000-0002-0703-0638 rmcd@usgs.gov","orcid":"https://orcid.org/0000-0002-0703-0638","contributorId":2428,"corporation":false,"usgs":true,"family":"McDonald","given":"Richard","email":"rmcd@usgs.gov","middleInitial":"R.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":728456,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Huang, Yu-Fen","contributorId":202465,"corporation":false,"usgs":false,"family":"Huang","given":"Yu-Fen","email":"","affiliations":[{"id":36452,"text":"University of Hawaii at Manoa, HI 96822, USA","active":true,"usgs":false}],"preferred":false,"id":728457,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Munasinghe, Dinuke","contributorId":202466,"corporation":false,"usgs":false,"family":"Munasinghe","given":"Dinuke","email":"","affiliations":[{"id":36450,"text":"Department of Geography, University of Alabama, Tuscaloosa, AL 35487, USA","active":true,"usgs":false}],"preferred":false,"id":728458,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Zhang, Jiaqi","contributorId":202467,"corporation":false,"usgs":false,"family":"Zhang","given":"Jiaqi","email":"","affiliations":[{"id":36453,"text":"University of Texas, Arlington, TX, USA","active":true,"usgs":false}],"preferred":false,"id":728459,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70194535,"text":"sir20175153 - 2018 - Water pressure and ground vibrations induced by water guns near Brandon Road Lock and Dam and Lemont, Illinois","interactions":[],"lastModifiedDate":"2019-07-01T06:32:59","indexId":"sir20175153","displayToPublicDate":"2018-02-13T00:00:00","publicationYear":"2018","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":"2017-5153","title":"Water pressure and ground vibrations induced by water guns near Brandon Road Lock and Dam and Lemont, Illinois","docAbstract":"Multiple geophysical sensors were used to characterize the underwater pressure field and ground vibrations of a seismic water gun and its suitability to deter the movement of Asian carps (particularly the silver [Hypophthalmichthys molitrix] and bighead [Hypophthalmichthys nobilis] carps) while ensuring the integrity of surrounding structures. The sensors used to collect this information were blast-rated hydrophones, surface- and borehole-mounted geophones, and fixed accelerometers.
Results from two separate studies are discussed in this report. The Brandon Road study took place in May 2014, in the Des Plaines River, in a concrete-walled channel downstream of the Brandon Road Lock and Dam near Joliet, Illinois. The Lemont study took place in June 2014, in a segment of the dolomite setblock-lined Chicago Sanitary and Ship Canal near Lemont, Illinois.
Two criteria were evaluated to assess the potential deterrence to carp migration, and to minimize the expected effect on nearby structures from discharge of the seismic water gun. The first criterion was a 5-pound-per-square-inch (lb/in2) limit for dynamic underwater pressure variations. The second criterion was a maximum velocity and acceleration disturbance of 0.75 inch per second (in/s) for sensitive machinery (such as the lock gates and pumps) and 2.0 in/s adjacent to canal walls, respectively. The criteria were based on previous studies of fish responses to dynamic pressure variations, and effects of vibrations on the structural integrity of concrete walls.
The Brandon Road study evaluated the magnitude and extent of the pressure field created by two water gun configurations in the concrete-walled channel downstream of the lock where channel depths ranged from 11 to 14 feet (ft). Data from a single 80-cubic-inch (in³) water gun set at 6 ft below water surface (bws) produced a roughly cylindrical 5-lb/in2 pressure field 20 ft in radius, oriented vertically, with the radius decreasing to less than 15 ft at the water surface. A combination of two 80-in3 water guns set at 6 and 8 ft, respectively, produced a similarly shaped 5 lb/in2 pressure field 30 ft in radius. Neither of the water gun configurations exceeded the given threshold of 5 lb/in2 above the static pressure along the walls of the canal at the 700 lb/in2 water gun input pressure. Velocity and acceleration data were collected simultaneously with the underwater pressure data to understand the response of adjacent canal walls to the water gun firings. Maximum velocity and acceleration were 0.239 in/s and 0.0188 feet per second squared (ft/s2), respectively.
The Lemont study replicated and expanded upon work done in 2011. The pressure field created by the water gun was evaluated in a deeper environment (about 25 ft of water depth) than that of the Brandon Road study. To replicate the 2011 study, data were collected with the same water gun placements and input pressure, but static underwater pressure monitoring was added. Two 80-in3 water guns were suspended below a platform at depths of 4 and 14 ft bws. Pressure was lower when the gun suspended at 4 ft bws was fired as compared to firing the single gun suspended at 14 ft bws. Firing both guns simultaneously produced similar pressures to the single gun suspended at 14 ft bws. Data were collected to assess the pressure field produced by two 80-in3 water guns separated by 80 ft and suspended at a depth of 14 ft bws. The spatial extent of the 5-lb/in2 threshold varied substantially with gun input air pressure. Firing the water gun with an air pressure of 2,000 lb/in2 generated a pressure field greater than the threshold at all but one location in the measured region. Additionally, the water gun with an air pressure of 1,000 lb/in2 did not reach the threshold anywhere in the measured region. Maximum velocity and acceleration were 0.304 in/s and 0.015 ft/s2, respectively.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175153","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency, Great Lakes Restoration Initiative","usgsCitation":"Adams, R.F., Koebel, C.M., and Morrow, W.S., 2018, Water pressure and ground vibrations induced by water guns near Brandon Road Lock and Dam and Lemont, Illinois: U.S. Geological Survey Scientific Investigations Report 2017–5153, 55 p., https://doi.org/10.3133/sir20175153.","productDescription":"ix, 55 p.","numberOfPages":"70","onlineOnly":"Y","ipdsId":"IP-075231","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":351541,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5153/coverthb.jpg"},{"id":351542,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5153/sir20175153.pdf","text":"Report","size":"17 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017-5153"}],"country":"United States","state":"Illinois","city":" Lemont","otherGeospatial":"Brandon Road Lock and Dam","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.1056,\n 41.5033\n ],\n [\n -88.1033,\n 41.5033\n ],\n [\n -88.1033,\n 41.5011\n ],\n [\n -88.1056,\n 41.5011\n ],\n [\n -88.1056,\n 41.5033\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Illinois Water Science Center
U.S. Geological Survey
405 N Goodwin
Urbana, IL 61801
Improved quantification of the factors controlling soil organic matter (SOM) stabilization at continental to global scales is needed to inform projections of the largest actively cycling terrestrial carbon pool on Earth, and its response to environmental change. Biogeochemical models rely almost exclusively on clay content to modify rates of SOM turnover and fluxes of climate-active CO2 to the atmosphere. Emerging conceptual understanding, however, suggests other soil physicochemical properties may predict SOM stabilization better than clay content. We addressed this discrepancy by synthesizing data from over 5,500 soil profiles spanning continental scale environmental gradients. Here, we demonstrate that other physicochemical parameters are much stronger predictors of SOM content, with clay content having relatively little explanatory power. We show that exchangeable calcium strongly predicted SOM content in water-limited, alkaline soils, whereas with increasing moisture availability and acidity, iron- and aluminum-oxyhydroxides emerged as better predictors, demonstrating that the relative importance of SOM stabilization mechanisms scales with climate and acidity. These results highlight the urgent need to modify biogeochemical models to better reflect the role of soil physicochemical properties in SOM cycling.
","language":"English","publisher":"Springer","doi":"10.1007/s10533-018-0424-3","usgsCitation":"Rasmussen, C., Heckman, K., Wieder, W.R., Keiluweit, M., Lawrence, C.R., Berhe, A., Blankinship, J.C., Crow, S.E., Druhan, J., Hicks Pries, C.E., Marin-Spiotta, E., Plante, A.F., Schadel, C., Schmiel, J.P., Sierra, C., Thompson, A., and Wagai, R., 2018, Beyond clay: Towards an improved set of variables for predicting soil organic matter content: Biogeochemistry, v. 137, no. 3, p. 297-306, https://doi.org/10.1007/s10533-018-0424-3.","productDescription":"10 p.","startPage":"297","endPage":"306","ipdsId":"IP-092121","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":461045,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10533-018-0424-3","text":"Publisher Index 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Asefaw","affiliations":[],"preferred":false,"id":728293,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Blankinship, Joseph C.","contributorId":197908,"corporation":false,"usgs":false,"family":"Blankinship","given":"Joseph","email":"","middleInitial":"C.","affiliations":[{"id":34215,"text":"University of Arizona, Tucson, Arizona","active":true,"usgs":false}],"preferred":false,"id":728294,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Crow, Susan E.","contributorId":197920,"corporation":false,"usgs":false,"family":"Crow","given":"Susan","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":728295,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Druhan, Jennifer","contributorId":190442,"corporation":false,"usgs":false,"family":"Druhan","given":"Jennifer","affiliations":[],"preferred":false,"id":728296,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hicks Pries, Caitlin 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Christina","contributorId":202385,"corporation":false,"usgs":false,"family":"Schadel","given":"Christina","email":"","affiliations":[{"id":36405,"text":"University of Northern Arizona","active":true,"usgs":false}],"preferred":false,"id":728300,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Schmiel, Joshua P.","contributorId":202386,"corporation":false,"usgs":false,"family":"Schmiel","given":"Joshua","email":"","middleInitial":"P.","affiliations":[{"id":28103,"text":"University of California - Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":728301,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Sierra, Carlos A.","contributorId":30521,"corporation":false,"usgs":true,"family":"Sierra","given":"Carlos A.","affiliations":[],"preferred":false,"id":728302,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Thompson, Aaron","contributorId":190447,"corporation":false,"usgs":false,"family":"Thompson","given":"Aaron","affiliations":[],"preferred":false,"id":728303,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Wagai, Rota","contributorId":202389,"corporation":false,"usgs":false,"family":"Wagai","given":"Rota","email":"","affiliations":[{"id":36407,"text":"Institute for Agro-Environmental Sciences","active":true,"usgs":false}],"preferred":false,"id":728304,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}} ,{"id":70195356,"text":"ofr20181020 - 2018 - Preliminary flood-duration frequency estimates using naturalized streamflow records for the Willamette River Basin, Oregon","interactions":[],"lastModifiedDate":"2018-02-14T10:20:24","indexId":"ofr20181020","displayToPublicDate":"2018-02-13T00:00:00","publicationYear":"2018","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":"2018-1020","title":"Preliminary flood-duration frequency estimates using naturalized streamflow records for the Willamette River Basin, Oregon","docAbstract":"In this study, “naturalized” daily streamflow records, created by the U.S. Army Corps of Engineers and the Bureau of Reclamation, were used to compute 1-, 3-, 7-, 10-, 15-, 30-, and 60-day annual maximum streamflow durations, which are running averages of daily streamflow for the number of days in each duration. Once the annual maximum durations were computed, the floodduration frequencies could be estimated. The estimated flood-duration frequencies correspond to the 50-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent probabilities of their occurring or being exceeded each year. For this report, the focus was on the Willamette River Basin in Oregon, which is a subbasin of the Columbia River Basin. This study is part of a larger one encompassing the entire Columbia Basin.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181020","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers and the Bureau of Reclamation","usgsCitation":"Lind, G.D., and Stonewall, A.J., 2018, Preliminary flood-duration frequency estimates using naturalized streamflow records for the Willamette River Basin, Oregon: U.S. Geological Survey Open-File Report 2018-1020, 17 p., https://doi.org/10.3133/ofr20181020.","productDescription":"iv, 17 p.","numberOfPages":"26","onlineOnly":"Y","ipdsId":"IP-091315","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":351566,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2018/1020/ofr20181020.pdf","text":"Report","size":"455 KB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2018-1020"},{"id":351565,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1020/coverthb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Willamette River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124,\n 43.25\n ],\n [\n -121.75,\n 43.25\n ],\n [\n -121.75,\n 45.75\n ],\n [\n -124,\n 45.75\n ],\n [\n -124,\n 43.25\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Oregon Water Science Center
U.S. Geological Survey
2130 SW 5th Avenue
Portland, Oregon 97201
Active margin coastlines are distinguished by rock erosion that acts in two different directions: waves erode the coast horizontally or landwards, a process that creates sea cliffs; and rivers and streams erode the landscape vertically via channel incision. The relative rates of each process exert a dominant control on coastline morphology. Using a model of river channel incision and sea-cliff retreat, we explore how terrestrial and marine erosion compete to shape coastal topography, and specifically what conditions encourage the development of coastal knickpoints (i.e., a river or stream channels that end at a raised sea-cliff edge). We then compare results to actual landscapes. Model results and observations show that coastal knickpoint development is strongly dependent on drainage basin area, where knickpoints typically occur in drainage basins smaller than 5 × 105–6 × 106 m2, as well as channel geometry and sea-cliff retreat rate. In our study area, coastal knickpoints with persistent flow (waterfalls) are uncommon and form only within a small morphological window when 1) drainage basin area is large enough to sustain steady stream discharge, but not large enough to out-compete sea-cliff formation, 2) sea-cliff retreat is rapid, and 3) channel concavity is low so that channel slopes at the coast are high. This particular geomorphic combination can sustain sea-cliff formation even when streams tap into larger drainage basins with greater discharge and more stream power, and provides an initial explanation of why persistent coastal waterfalls are, along many coastlines, relatively rare features.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.geomorph.2017.12.035","usgsCitation":"Limber, P.W., and Barnard, P., 2018, Coastal knickpoints and the competition between fluvial and wave-driven erosion on rocky coastlines: Geomorphology, v. 306, p. 1-12, https://doi.org/10.1016/j.geomorph.2017.12.035.","productDescription":"12 p.","startPage":"1","endPage":"12","ipdsId":"IP-085956","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":469001,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.geomorph.2017.12.035","text":"Publisher Index Page"},{"id":351512,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.67285156250001,\n 34.252676117101515\n ],\n [\n -119.72900390625001,\n 34.252676117101515\n ],\n [\n -119.72900390625001,\n 40.48038142908172\n ],\n [\n -124.67285156250001,\n 40.48038142908172\n ],\n [\n -124.67285156250001,\n 34.252676117101515\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"306","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee731e4b0da30c1bfc1a4","contributors":{"authors":[{"text":"Limber, Patrick W. 0000-0002-8207-3750 plimber@usgs.gov","orcid":"https://orcid.org/0000-0002-8207-3750","contributorId":196794,"corporation":false,"usgs":true,"family":"Limber","given":"Patrick","email":"plimber@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":728286,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barnard, Patrick L. 0000-0003-1414-6476 pbarnard@usgs.gov","orcid":"https://orcid.org/0000-0003-1414-6476","contributorId":147147,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick L.","email":"pbarnard@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":728287,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70217882,"text":"70217882 - 2018 - Results of the 2010-2011 East-Central Adirondack Stream Survey (ECASS)","interactions":[],"lastModifiedDate":"2021-02-09T13:39:27.05271","indexId":"70217882","displayToPublicDate":"2018-02-09T07:35:58","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Results of the 2010-2011 East-Central Adirondack Stream Survey (ECASS)","docAbstract":"No abstract available.
","language":"English","publisher":"New York State Energy Research and Development Authority","collaboration":"New York State Energy Research and Development Authority","usgsCitation":"Lawrence, G.B., George, S.D., Burns, D., Baldigo, B.P., Passy, S., Roy, K.M., and Pound, K.L., 2018, Results of the 2010-2011 East-Central Adirondack Stream Survey (ECASS), ix, 89 p.","productDescription":"ix, 89 p.","ipdsId":"IP-098505","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":383154,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":383153,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.nyserda.ny.gov/About/Publications/Research-and-Development-Technical-Reports/Environmental-Research-and-Development-Technical-Reports"}],"country":"United States","state":"New York","otherGeospatial":"Adirondack region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.69580078125001,\n 43.77109381775648\n ],\n [\n -75.06958007812501,\n 42.988576458321816\n ],\n [\n -73.32275390625,\n 43.11702412135048\n ],\n [\n -73.1689453125,\n 45.07352060670971\n ],\n [\n -74.89379882812501,\n 44.91035917458492\n ],\n [\n -75.69580078125001,\n 43.77109381775648\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"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":810023,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"George, Scott D. 0000-0002-8197-1866 sgeorge@usgs.gov","orcid":"https://orcid.org/0000-0002-8197-1866","contributorId":3014,"corporation":false,"usgs":true,"family":"George","given":"Scott","email":"sgeorge@usgs.gov","middleInitial":"D.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":810027,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":810028,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":810029,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Passy, Sophia","contributorId":248812,"corporation":false,"usgs":false,"family":"Passy","given":"Sophia","affiliations":[{"id":50025,"text":"Associate Professor, University of Texas at Arlington","active":true,"usgs":false}],"preferred":false,"id":810025,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Roy, Karen M.","contributorId":204095,"corporation":false,"usgs":false,"family":"Roy","given":"Karen","email":"","middleInitial":"M.","affiliations":[{"id":36838,"text":"Division of Air Resources, New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":810024,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pound, Katrina L.","contributorId":248833,"corporation":false,"usgs":false,"family":"Pound","given":"Katrina","email":"","middleInitial":"L.","affiliations":[{"id":50034,"text":"University of Texas, Arlington","active":true,"usgs":false}],"preferred":false,"id":810026,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70194691,"text":"sir20175145 - 2018 - Distribution of effluent injected into the Boulder Zone of the Floridan aquifer system at the North District Wastewater Treatment Plant, southeastern Florida, 1997–2011","interactions":[],"lastModifiedDate":"2018-02-12T14:52:11","indexId":"sir20175145","displayToPublicDate":"2018-02-09T00:00:00","publicationYear":"2018","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":"2017-5145","title":"Distribution of effluent injected into the Boulder Zone of the Floridan aquifer system at the North District Wastewater Treatment Plant, southeastern Florida, 1997–2011","docAbstract":"Nonhazardous, secondarily treated, domestic wastewater (effluent) has been injected about 1 kilometer below land surface into the Boulder Zone of the Floridan aquifer system at the North District Wastewater Treatment Plant in southeastern Florida. The Boulder Zone contains saline, nonpotable water. Effluent transport out of the injection zone is a risk of underground effluent injection. At the North District Wastewater Treatment Plant, injected effluent was detected outside the Boulder Zone. The U.S. Geological Survey, in cooperation with Miami-Dade Water and Sewer Department, investigated effluent transport from the Boulder Zone to overlying permeable zones in the Floridan aquifer system.
One conceptual model is presented to explain the presence of effluent outside of the injection zone in which effluent injected into the Boulder Zone was transported to the Avon Park permeable zone, forced by buoyancy and injection pressure. In this conceptual model, effluent injected primarily into the Boulder Zone reaches a naturally occurring feature (a karst-collapse structure) near an injection well, through which the effluent is transported vertically upward to the uppermost major permeable zone of the Lower Floridan aquifer. The effluent is then transported laterally through the uppermost major permeable zone of the Lower Floridan aquifer to another naturally occurring feature northwest of the North District Wastewater Treatment Plant, through which it is then transported vertically upward into the Avon Park permeable zone. In addition, a leak within a monitoring well, between monitoring zones, allowed interflow between the Avon Park permeable zone and the Upper Floridan aquifer. A groundwater flow and effluent transport simulation of the hydrogeologic system at the North District Wastewater Treatment Plant, based on the hypothesized and non-unique conceptualization of the subsurface hydrogeology and flow system, generally replicated measured effluent constituent concentration trends. The model was calibrated to match observed concentration trends for total ammonium (NH4+) and total dissolved solids.
The investigation qualitatively indicates that fractures, karst-collapse structures, faults, or other hydrogeologic features may permit effluent injected into the Boulder Zone to be transported to overlying permeable zones in the Floridan aquifer system. These findings, however, are qualitative because the locations of transport pathways that might exist from the Boulder Zone to the Avon Park permeable zone are largely unknown.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175145","collaboration":"Prepared in cooperation with the Miami-Dade Water and Sewer Department","usgsCitation":"King, J.N., and Decker, J.D., 2018, Distribution of effluent injected into the Boulder Zone of the Floridan aquifer system at the North District Wastewater Treatment Plant, southeastern Florida, 1997–2011: U.S. Geological Survey Scientific Investigations Report 2017–5145, 52 p., https://doi.org/10.3133/sir20175145.","productDescription":"Report: vii, 52 p.; Data Release","numberOfPages":"64","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-049438","costCenters":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"links":[{"id":351307,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5145/sir20175145.pdf","text":"Report","size":"14.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5145"},{"id":351436,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5145/coverthb3.jpg"},{"id":351308,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F75H7DBF","text":"USGS data release","description":"USGS Data Release","linkHelpText":"SEAWAT Data Sets for Simulation of Effluent Transport in the Floridan Aquifer System at the North District Wastewater Treatment Plant, Southeastern Florida, 1997-2011: U.S. Geological Survey Data Release"}],"country":"United States","state":"Florida","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.5,\n 25.5\n ],\n [\n -80,\n 25.5\n ],\n [\n -80,\n 26.1667\n ],\n [\n -80.5,\n 26.1667\n ],\n [\n -80.5,\n 25.5\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Caribbean-Florida Water Science Center
U.S. Geological Survey
4446 Pet Lane, Suite 108
Lutz, FL 33559
Causal attribution of changes in water quality often consists of correlation, qualitative reasoning, listing references to the work of others, or speculation. To better support statements of attribution for water-quality trends, structural equation modeling was used to model the causal factors of total phosphorus loads in the Chesapeake Bay watershed. By transforming, scaling, and standardizing variables, grouping similar sites, grouping some causal factors into latent variable models, and using methods that correct for assumption violations, we developed a structural equation model to show how causal factors interact to produce total phosphorus loads. Climate (in the form of annual total precipitation and the Palmer Hydrologic Drought Index) and anthropogenic inputs are the major drivers of total phosphorus load in the Chesapeake Bay watershed. Increasing runoff due to natural climate variability is offsetting purposeful management actions that are otherwise decreasing phosphorus loading; consequently, management actions may need to be reexamined to achieve target reductions in the face of climate variability.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2017.10.173","usgsCitation":"Ryberg, K.R., Blomquist, J.D., Sprague, L.A., Sekellick, A.J., and Keisman, J.L., 2018, Modeling drivers of phosphorus loads in Chesapeake Bay tributaries and inferences about long-term change: Science of the Total Environment, v. 616–617, p. 1423-1430, https://doi.org/10.1016/j.scitotenv.2017.10.173.","productDescription":"8 p.","startPage":"1423","endPage":"1430","ipdsId":"IP-080391","costCenters":[{"id":478,"text":"North Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":469009,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2017.10.173","text":"Publisher Index Page"},{"id":351357,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Chesapeake Bay ","volume":"616–617","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a7d6ff8e4b00f54eb24417b","contributors":{"authors":[{"text":"Ryberg, Karen R. 0000-0002-9834-2046 kryberg@usgs.gov","orcid":"https://orcid.org/0000-0002-9834-2046","contributorId":1172,"corporation":false,"usgs":true,"family":"Ryberg","given":"Karen","email":"kryberg@usgs.gov","middleInitial":"R.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":727090,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blomquist, Joel D. 0000-0002-0140-6534 jdblomqu@usgs.gov","orcid":"https://orcid.org/0000-0002-0140-6534","contributorId":197860,"corporation":false,"usgs":true,"family":"Blomquist","given":"Joel","email":"jdblomqu@usgs.gov","middleInitial":"D.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":727093,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sprague, Lori A. 0000-0003-2832-6662 lsprague@usgs.gov","orcid":"https://orcid.org/0000-0003-2832-6662","contributorId":726,"corporation":false,"usgs":true,"family":"Sprague","given":"Lori","email":"lsprague@usgs.gov","middleInitial":"A.","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":727092,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sekellick, Andrew J. 0000-0002-0440-7655 ajsekell@usgs.gov","orcid":"https://orcid.org/0000-0002-0440-7655","contributorId":4125,"corporation":false,"usgs":true,"family":"Sekellick","given":"Andrew","email":"ajsekell@usgs.gov","middleInitial":"J.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":727091,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Keisman, Jennifer L. 0000-0001-6808-9193 jkeisman@usgs.gov","orcid":"https://orcid.org/0000-0001-6808-9193","contributorId":198107,"corporation":false,"usgs":true,"family":"Keisman","given":"Jennifer","email":"jkeisman@usgs.gov","middleInitial":"L.","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":727094,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70195321,"text":"70195321 - 2018 - Concentrations of environmental DNA (eDNA) reflect spawning salmon abundance at fine spatial and temporal scales","interactions":[],"lastModifiedDate":"2018-02-08T13:58:24","indexId":"70195321","displayToPublicDate":"2018-02-08T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Concentrations of environmental DNA (eDNA) reflect spawning salmon abundance at fine spatial and temporal scales","docAbstract":"Developing fast, cost-effective assessments of wild animal abundance is an important goal for many researchers, and environmental DNA (eDNA) holds much promise for this purpose. However, the quantitative relationship between species abundance and the amount of DNA present in the environment is likely to vary substantially among taxa and with ecological context. Here, we report a strong quantitative relationship between eDNA concentration and the abundance of spawning sockeye salmon in a small stream in Alaska, USA, where we took temporally- and spatially-replicated samples during the spawning period. This high-resolution dataset suggests that (1) eDNA concentrations vary significantly day-to-day, and likely within hours, in the context of the dynamic biological event of a salmon spawning season; (2) eDNA, as detected by species-specific quantitative PCR probes, seems to be conserved over short distances (tens of meters) in running water, but degrade quickly over larger scales (ca. 1.5 km); and (3) factors other than the mere presence of live, individual fish — such as location within the stream, live/dead ratio, and water temperature — can affect the eDNA-biomass correlation in space or time. A multivariate model incorporating both biotic and abiotic variables accounted for over 75% of the eDNA variance observed, suggesting that where a system is well-characterized, it may be possible to predict species' abundance from eDNA surveys, although we underscore that species- and system-specific variables are likely to limit the generality of any given quantitative model. Nevertheless, these findings provide an important step toward quantitative applications of eDNA in conservation and management.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2018.01.030","usgsCitation":"Tillotson, M.D., Kelly, R.P., Duda, J.J., Hoy, M.S., Kralj, J., and Quinn, T.P., 2018, Concentrations of environmental DNA (eDNA) reflect spawning salmon abundance at fine spatial and temporal scales: Biological Conservation, v. 220, p. 1-11, https://doi.org/10.1016/j.biocon.2018.01.030.","productDescription":"11 p.","startPage":"1","endPage":"11","ipdsId":"IP-089550","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":469008,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.biocon.2018.01.030","text":"Publisher Index Page"},{"id":438018,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7K073HH","text":"USGS data release","linkHelpText":"Concentrations of environmental DNA (eDNA) during sockeye salmon spawning in 2016, Hansen Creek, Alaska, USA"},{"id":351365,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Hansen Creek","volume":"220","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a7d6ff8e4b00f54eb244176","contributors":{"authors":[{"text":"Tillotson, Michael D.","contributorId":202117,"corporation":false,"usgs":false,"family":"Tillotson","given":"Michael","email":"","middleInitial":"D.","affiliations":[{"id":36354,"text":"University of Washington, School of Aquatic and Fishery Sciences, Box 355020, Seattle, WA 98195-5020","active":true,"usgs":false}],"preferred":false,"id":727832,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kelly, Ryan P.","contributorId":202201,"corporation":false,"usgs":false,"family":"Kelly","given":"Ryan","email":"","middleInitial":"P.","affiliations":[{"id":36369,"text":"University of Washington, School of Marine and Environmental Affairs, 3710 Brooklyn Ave NE, Seattle, WA 98105. USA","active":true,"usgs":false}],"preferred":false,"id":727833,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Duda, Jeffrey J. 0000-0001-7431-8634 jduda@usgs.gov","orcid":"https://orcid.org/0000-0001-7431-8634","contributorId":148954,"corporation":false,"usgs":true,"family":"Duda","given":"Jeffrey","email":"jduda@usgs.gov","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":727831,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hoy, Marshal S. 0000-0003-2828-9697 mhoy@usgs.gov","orcid":"https://orcid.org/0000-0003-2828-9697","contributorId":3033,"corporation":false,"usgs":true,"family":"Hoy","given":"Marshal","email":"mhoy@usgs.gov","middleInitial":"S.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":727834,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kralj, James","contributorId":202118,"corporation":false,"usgs":false,"family":"Kralj","given":"James","email":"","affiliations":[{"id":36355,"text":"University of Washington, School of Marine and Environmental Affairs, 3710 Brooklyn Ave. NE, Seattle, WA 98105","active":true,"usgs":false}],"preferred":false,"id":727835,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Quinn, Thomas P.","contributorId":167272,"corporation":false,"usgs":false,"family":"Quinn","given":"Thomas","email":"","middleInitial":"P.","affiliations":[{"id":24671,"text":"School of Aquatic and Fsiery Sciences, UW, Box 355020, Seattle, WA","active":true,"usgs":false}],"preferred":false,"id":727836,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70195068,"text":"70195068 - 2018 - Comparison of HSPF and PRMS model simulated flows using different temporal and spatial scales in the Black Hills, South Dakota","interactions":[],"lastModifiedDate":"2018-02-08T12:28:05","indexId":"70195068","displayToPublicDate":"2018-02-08T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2341,"text":"Journal of Hydrologic Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Comparison of HSPF and PRMS model simulated flows using different temporal and spatial scales in the Black Hills, South Dakota","docAbstract":"The hydrological simulation program Fortran (HSPF) [Hydrological Simulation Program Fortran version 12.2 (Computer software). USEPA, Washington, DC] and the precipitation runoff modeling system (PRMS) [Precipitation Runoff Modeling System version 4.0 (Computer software). USGS, Reston, VA] models are semidistributed, deterministic hydrological tools for simulating the impacts of precipitation, land use, and climate on basin hydrology and streamflow. Both models have been applied independently to many watersheds across the United States. This paper reports the statistical results assessing various temporal (daily, monthly, and annual) and spatial (small versus large watershed) scale biases in HSPF and PRMS simulations using two watersheds in the Black Hills, South Dakota. The Nash-Sutcliffe efficiency (NSE), Pearson correlation coefficient (
Global-scale studies suggest that dryland ecosystems dominate an increasing trend in the magnitude and interannual variability of the land CO2 sink. However, such model-based analyses are poorly constrained by measured CO2 exchange in open shrublands, which is the most common global land cover type, covering ∼14% of Earth’s surface. Here we evaluate how the amount and seasonal timing of water availability regulate CO2 exchange between shrublands and the atmosphere. We use eddy covariance data from six US sites across the three warm deserts of North America with observed ranges in annual precipitation of ∼100–400mm, annual temperatures of 13–18°C, and records of 2–8 years (33 site-years in total). The Chihuahuan, Sonoran and Mojave Deserts present gradients in both mean annual precipitation and its seasonal distribution between the wet-winter Mojave Desert and the wet-summer Chihuahuan Desert. We found that due to hydrologic losses during the wettest summers in the Sonoran and Chihuahuan Deserts, evapotranspiration (ET) was a better metric than precipitation of water available to drive dryland CO2 exchange. In contrast with recent synthesis studies across diverse dryland biomes, we found that NEP could not be directly predicted from ET due to wintertime decoupling of the relationship between ecosystem respiration (Reco) and gross ecosystem productivity (GEP). Ecosystem water use efficiency (WUE=GEP/ET) did not differ between winter and summer. Carbon use efficiency (CUE=NEP/GEP), however, was greater in winter because Reco returned a smaller fraction of carbon to the atmosphere (23% of GEP) than in summer (77%). Combining the water-carbon relations found here with historical precipitation since 1980, we estimate that lower average winter precipitation during the 21st century reduced the net carbon sink of the three deserts by an average of 6.8TgC yr1. Our results highlight that winter precipitation is critical to the annual carbon balance of these warm desert shrublands.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.agrformet.2017.11.005","usgsCitation":"Biederman, J.A., Scott, R.L., Arnone, J.A., Jasoni, R.L., Litvak, M.E., Moreo, M.T., Papuga, S.A., Ponce-Campos, G.E., Schreiner-McGraw, A.P., and Vivoni, E.R., 2018, Shrubland carbon sink depends upon winter water availability in the warm deserts of North America: Agricultural and Forest Meteorology, v. 249, p. 407-419, https://doi.org/10.1016/j.agrformet.2017.11.005.","productDescription":"13 p.","startPage":"407","endPage":"419","ipdsId":"IP-088519","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":469024,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.osti.gov/biblio/1549057","text":"Publisher Index Page"},{"id":351309,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"249","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a7c1e6ee4b00f54eb2292a1","contributors":{"authors":[{"text":"Biederman, Joel A.","contributorId":201939,"corporation":false,"usgs":false,"family":"Biederman","given":"Joel","email":"","middleInitial":"A.","affiliations":[{"id":6758,"text":"USDA-ARS","active":true,"usgs":false}],"preferred":false,"id":727236,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scott, Russell L.","contributorId":39875,"corporation":false,"usgs":false,"family":"Scott","given":"Russell","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":727237,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arnone, John A.","contributorId":201941,"corporation":false,"usgs":false,"family":"Arnone","given":"John","email":"","middleInitial":"A.","affiliations":[{"id":16138,"text":"Desert Research Institute","active":true,"usgs":false}],"preferred":false,"id":727238,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jasoni, Richard L.","contributorId":201942,"corporation":false,"usgs":false,"family":"Jasoni","given":"Richard","email":"","middleInitial":"L.","affiliations":[{"id":16138,"text":"Desert Research Institute","active":true,"usgs":false}],"preferred":false,"id":727239,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Litvak, Marcy E.","contributorId":73932,"corporation":false,"usgs":true,"family":"Litvak","given":"Marcy","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":727240,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Moreo, Michael T. 0000-0002-9122-6958 mtmoreo@usgs.gov","orcid":"https://orcid.org/0000-0002-9122-6958","contributorId":2363,"corporation":false,"usgs":true,"family":"Moreo","given":"Michael","email":"mtmoreo@usgs.gov","middleInitial":"T.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":727235,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Papuga, Shirley A.","contributorId":197727,"corporation":false,"usgs":false,"family":"Papuga","given":"Shirley","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":727241,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ponce-Campos, Guillermo E.","contributorId":201945,"corporation":false,"usgs":false,"family":"Ponce-Campos","given":"Guillermo","email":"","middleInitial":"E.","affiliations":[{"id":6758,"text":"USDA-ARS","active":true,"usgs":false}],"preferred":false,"id":727242,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Schreiner-McGraw, Adam P.","contributorId":201946,"corporation":false,"usgs":false,"family":"Schreiner-McGraw","given":"Adam","email":"","middleInitial":"P.","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":727243,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Vivoni, Enrique R.","contributorId":139052,"corporation":false,"usgs":false,"family":"Vivoni","given":"Enrique","email":"","middleInitial":"R.","affiliations":[{"id":12634,"text":"School of Earth and Space Exploration and School of Sustainable Engineering and the Built Environment, Arizona State University, Tempe, AZ","active":true,"usgs":false}],"preferred":false,"id":727244,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70195168,"text":"70195168 - 2018 - Accurate ocean bottom seismometer positioning method inspired by multilateration technique","interactions":[],"lastModifiedDate":"2018-07-03T11:38:27","indexId":"70195168","displayToPublicDate":"2018-02-07T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2701,"text":"Mathematical Geosciences","active":true,"publicationSubtype":{"id":10}},"title":"Accurate ocean bottom seismometer positioning method inspired by multilateration technique","docAbstract":"The positioning of ocean bottom seismometers (OBS) is a key step in the processing flow of OBS data, especially in the case of self popup types of OBS instruments. The use of first arrivals from airgun shots, rather than relying on the acoustic transponders mounted in the OBS, is becoming a trend and generally leads to more accurate positioning due to the statistics from a large number of shots. In this paper, a linearization of the OBS positioning problem via the multilateration technique is discussed. The discussed linear solution solves jointly for the average water layer velocity and the OBS position using only shot locations and first arrival times as input data.
","language":"English","publisher":"Springer","doi":"10.1007/s11004-017-9719-5","usgsCitation":"Benazzouz, O., Pinheiro, L.M., Matias, L.M., Afilhado, A., Herold, D., and Haines, S.S., 2018, Accurate ocean bottom seismometer positioning method inspired by multilateration technique: Mathematical Geosciences, v. 50, no. 5, p. 569-584, https://doi.org/10.1007/s11004-017-9719-5.","productDescription":"16 p.","startPage":"569","endPage":"584","ipdsId":"IP-075056","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":469020,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10400.21/9110","text":"External Repository"},{"id":351283,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"50","issue":"5","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-01-08","publicationStatus":"PW","scienceBaseUri":"5a7c1e6ce4b00f54eb229293","contributors":{"authors":[{"text":"Benazzouz, Omar","contributorId":201961,"corporation":false,"usgs":false,"family":"Benazzouz","given":"Omar","email":"","affiliations":[{"id":36309,"text":"University of Aveiro, Portugal","active":true,"usgs":false}],"preferred":false,"id":727281,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pinheiro, Luis M.","contributorId":201962,"corporation":false,"usgs":false,"family":"Pinheiro","given":"Luis","email":"","middleInitial":"M.","affiliations":[{"id":36309,"text":"University of Aveiro, Portugal","active":true,"usgs":false}],"preferred":false,"id":727282,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Matias, Luis M. A.","contributorId":201963,"corporation":false,"usgs":false,"family":"Matias","given":"Luis","email":"","middleInitial":"M. A.","affiliations":[{"id":36310,"text":"Dom Luiz Institute, Portugal","active":true,"usgs":false}],"preferred":false,"id":727283,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Afilhado, Alexandra","contributorId":201964,"corporation":false,"usgs":false,"family":"Afilhado","given":"Alexandra","email":"","affiliations":[{"id":36311,"text":"Superior Institute of Engineering of Lisbon, Portugal","active":true,"usgs":false}],"preferred":false,"id":727284,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Herold, Daniel","contributorId":201965,"corporation":false,"usgs":false,"family":"Herold","given":"Daniel","email":"","affiliations":[{"id":36312,"text":"Parallel Geoscience Corporation","active":true,"usgs":false}],"preferred":false,"id":727285,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Haines, Seth S. 0000-0003-2611-8165 shaines@usgs.gov","orcid":"https://orcid.org/0000-0003-2611-8165","contributorId":1344,"corporation":false,"usgs":true,"family":"Haines","given":"Seth","email":"shaines@usgs.gov","middleInitial":"S.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":727280,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70195173,"text":"70195173 - 2018 - Uptake and distribution of organo-iodine in deep-sea corals","interactions":[],"lastModifiedDate":"2018-03-13T10:11:30","indexId":"70195173","displayToPublicDate":"2018-02-07T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2263,"text":"Journal of Environmental Radioactivity","active":true,"publicationSubtype":{"id":10}},"title":"Uptake and distribution of organo-iodine in deep-sea corals","docAbstract":"Understanding iodine concentration, transport, and bioavailability is essential in evaluating iodine's impact to the environment and its effectiveness as an environmental biogeotracer. While iodine and its radionuclides have proven to be important tracers in geologic and biologic studies, little is known about transport of this element to the deep sea and subsequent uptake in deep-sea coral habitats. Results presented here on deep-sea black coral iodine speciation and iodine isotope variability provides key information on iodine behavior in natural and anthropogenic environments, and its geochemical pathway in the Gulf of Mexico. Organo-iodine is the dominant iodine species in the black corals, demonstrating that binding of iodine to organic matter plays an important role in the transport and transfer of iodine to the deep-sea corals. The identification of growth bands captured in high-resolution scanning electron images (SEM) with synchronous peaks in iodine variability suggest that riverine delivery of terrestrial-derived organo-iodine is the most plausible explanation to account for annual periodicity in the deep-sea coral geochemistry. Whereas previous studies have suggested the presence of annual growth rings in deep-sea corals, this present study provides a mechanism to explain the formation of annual growth bands. Furthermore, deep-sea coral ages based on iodine peak counts agree well with those ages derived from radiocarbon (14C) measurements. These results hold promise for developing chronologies independent of 14C dating, which is an essential component in constraining reservoir ages and using radiocarbon as a tracer of ocean circulation. Furthermore, the presence of enriched 129I/127I ratios during the most recent period of skeleton growth is linked to nuclear weapons testing during the 1960s. The sensitivity of the coral skeleton to record changes in surface water 129I composition provides further evidence that iodine composition and isotope variability captured in proteinaceous deep-sea corals is a promising geochronometer as well as an emerging tracer for continental material flux.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvrad.2018.01.003","usgsCitation":"Prouty, N.G., Roark, E.B., Mohon, L.M., and Chang, C., 2018, Uptake and distribution of organo-iodine in deep-sea corals: Journal of Environmental Radioactivity, v. 187, p. 122-132, https://doi.org/10.1016/j.jenvrad.2018.01.003.","productDescription":"11 p.","startPage":"122","endPage":"132","ipdsId":"IP-090588","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":469021,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jenvrad.2018.01.003","text":"Publisher Index Page"},{"id":351529,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Gulf of Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.5,\n 28.5\n ],\n [\n -86,\n 28.5\n ],\n [\n -86,\n 29.75\n ],\n [\n -88.5,\n 29.75\n ],\n [\n -88.5,\n 28.5\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"187","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee731e4b0da30c1bfc1ae","contributors":{"authors":[{"text":"Prouty, Nancy G. 0000-0002-8922-0688 nprouty@usgs.gov","orcid":"https://orcid.org/0000-0002-8922-0688","contributorId":3350,"corporation":false,"usgs":true,"family":"Prouty","given":"Nancy","email":"nprouty@usgs.gov","middleInitial":"G.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":727297,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roark, E. Brendan","contributorId":195726,"corporation":false,"usgs":false,"family":"Roark","given":"E.","email":"","middleInitial":"Brendan","affiliations":[],"preferred":false,"id":727298,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mohon, Leslye M.","contributorId":201970,"corporation":false,"usgs":false,"family":"Mohon","given":"Leslye","email":"","middleInitial":"M.","affiliations":[{"id":36313,"text":"Texas A&M","active":true,"usgs":false}],"preferred":false,"id":728382,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chang, Ching-Chih","contributorId":178566,"corporation":false,"usgs":false,"family":"Chang","given":"Ching-Chih","email":"","affiliations":[],"preferred":false,"id":728383,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70194701,"text":"sir20175151 - 2018 - Assessment of water resources and the potential effects from oil and gas development in the Bureau of Land Management Tri-County planning area, Sierra, Doña Ana, and Otero Counties, New Mexico","interactions":[],"lastModifiedDate":"2018-02-07T17:11:00","indexId":"sir20175151","displayToPublicDate":"2018-02-07T00:00:00","publicationYear":"2018","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":"2017-5151","title":"Assessment of water resources and the potential effects from oil and gas development in the Bureau of Land Management Tri-County planning area, Sierra, Doña Ana, and Otero Counties, New Mexico","docAbstract":"The U.S. Geological Survey (USGS), in cooperation with the Bureau of Land Management, conducted a study to assess the water resources and potential effects on the water resources from oil and gas development in the Tri-County planning area, Sierra, Doña Ana, and Otero Counties, New Mexico. Publicly available data were used to assess these resources and effects and to identify data gaps in the Tri-County planning area.
The Tri-County planning area includes approximately 9.3 million acres and is within the eastern extent of the Basin and Range Province, which consists of mountain ranges and low elevation basins. Three specific areas of interest within the Tri-County planning area are the Jornada del Muerto, Tularosa Basin, and Otero Mesa, which is adjacent to the Salt Basin. Surface-water resources are limited in the Tri-County planning area, with the Rio Grande as the main perennial river flowing from north to south through Sierra and Doña Ana Counties. The Tularosa Creek is an important surface-water resource in the Tularosa Basin. The Sacramento River, which flows southeast out of the Sacramento Mountains, is an important source of recharge to aquifers in the Salt Basin. Groundwater resources vary in aquifer type, depth to water, and water quality. For example, the Jornada del Muerto, Tularosa Basin, and Salt Basin each have shallow and deep aquifer systems, and water can range from freshwater, with less than 1,000 milligrams per liter (mg/L) of total dissolved solids, to brine, with greater than 35,000 mg/L of total dissolved solids. Water quality in the Tri-County planning area is affected by the dissolution of salt deposits and evaporation which are common in arid regions such as southern New Mexico.
The potential for oil and gas development exists in several areas within the Tri-County area. As many as 81 new conventional wells and 25 coalbed natural gas wells could be developed by 2035. Conventional oil and gas well construction in the Tri-County planning area is expected to require 1.53 acre-feet (acre-ft) (500,000 gallons) of water per well, similar to requirements in the nearby Permian Basin of New Mexico, while construction of unconventional wells is expected to require 7.3 acre-ft of water per well. Produced waters in the Permian Basin have high total dissolved solids, in the brackish to brine range.
Data gaps identified in this study include the limited detailed data on surface-water resources, the lack of groundwater data in areas of interest, and the lack of water chemistry data related to oil and gas development issues. Surface waters in the Tri-County planning area are sparse; some streams are perennial, and most are ephemeral. A more detailed study of the ephemeral channels and their interaction with groundwater could provide a better understanding of the importance of these surface-water resources. Groundwater data used in this study are from the USGS National Water Information System, which does not have continuous water-level depth data at many of the sites in the Tri-County planning area. On Otero Mesa, no recurrent groundwater-level data are available at any one site. The water-quality data compiled in this study provide a good overview of the general chemistry of groundwater in the Tri-County planning area. To fully understand the groundwater resources, it would be helpful to have more wells in specific areas of interest for groundwater-level and water-quality measurements.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175151","collaboration":"Prepared in cooperation with the Bureau of Land Management","usgsCitation":"Blake, J.M., Miltenberger, Keely, Stewart, Anne, Ritchie, Andre, Montoya, Jennifer, Durr, Corey, McHugh, Amy, and Charles, Emmanuel, 2018, Assessment of water resources and the potential effects from oil and gas development in the Bureau of Land Management Tri-County planning area, Sierra, Doña Ana, and Otero Counties, New Mexico: U.S. Geological Survey Scientific Investigations Report 2017–5151, 87 p., https://doi.org/10.3133/sir20175151. 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Ana\",\"state\":\"NM\"}}]}","contact":"Director, New Mexico Water Science Center
U.S. Geological Survey
5338 Montgomery Blvd., NE Suite 400
Albuquerque, NM 87109–1311
The acidity of many streams in the Great Smoky Mountains National Park (GRSM) has increased significantly since pre-industrial (∼1850) times due to the effects of highly acidic atmospheric deposition in poorly buffered watersheds. Extensive stream-monitoring programs since 1993 have shown that fish and macroinvertebrate assemblages have been adversely affected in many streams across the GRSM. Matching chemistry and fishery information collected from 389 surveys performed at 52 stream sites over a 22-year period were assessed using logistic regression analysis to help inform the U.S. Environmental Protection Agency’s assessment of the environmental impacts of emissions of oxides of nitrogen (NOx) and sulfur (SOx). Numerous logistic equations and associated curves were derived that defined the relations between acid neutralizing capacity (ANC) or pH and different levels of community richness, density, and biomass; and density and biomass of brook trout, rainbow trout, and small prey (minnow) populations in streams of the GRSM. The equations and curves describe the status of fish assemblages in the GRSM under contemporary emission levels and deposition loads of nitrogen (N) and sulfur (S) and provide a means to estimate how newly proposed (and various alternative) target deposition loads, which strongly influence stream ANC, might affect key ecological indicators. Several examples using ANC, community richness, and brook trout density are presented to illustrate the steps needed to predict how future changes in stream chemistry (resulting from different target deposition loads of N and S) will affect the probabilities of observing specific levels of selected biological indicators in GRSM streams. The implications of this study to the regulation of NOx and SOx emissions, water quality, and fisheries management in streams of the GRSM are discussed, but also qualified by the fact that specific examples provided need to be further explored before recommendations concerning their use as ecological indicators could be proposed.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2018.01.021","usgsCitation":"Baldigo, B.P., Kulp, M.A., and Schwartz, J.S., 2018, Relationships between indicators of acid-base chemistry and fish assemblages in streams of the Great Smoky Mountains National Park: Ecological Indicators, v. 88, p. 465-484, https://doi.org/10.1016/j.ecolind.2018.01.021.","productDescription":"20 p.","startPage":"465","endPage":"484","ipdsId":"IP-083415","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":351234,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina, Tennessee","otherGeospatial":"Great Smoky Mountains National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.16900634765625,\n 35.34201475584807\n ],\n [\n -82.72979736328125,\n 35.34201475584807\n ],\n [\n -82.72979736328125,\n 35.92909271208457\n ],\n [\n -84.16900634765625,\n 35.92909271208457\n ],\n [\n -84.16900634765625,\n 35.34201475584807\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"88","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a7c1e69e4b00f54eb22926b","contributors":{"authors":[{"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":727728,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kulp, Matt A.","contributorId":196801,"corporation":false,"usgs":false,"family":"Kulp","given":"Matt","email":"","middleInitial":"A.","affiliations":[{"id":35484,"text":"National Park Service, Great Smoky Mountains National Park","active":true,"usgs":false}],"preferred":false,"id":727729,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schwartz, John S.","contributorId":196802,"corporation":false,"usgs":false,"family":"Schwartz","given":"John","email":"","middleInitial":"S.","affiliations":[{"id":36358,"text":" University of Tennessee, Knoxville, TN","active":true,"usgs":false}],"preferred":false,"id":727730,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70195199,"text":"70195199 - 2018 - Year-round presence of neonicotinoid insecticides in tributaries to the Great Lakes, USA","interactions":[],"lastModifiedDate":"2018-02-28T10:01:32","indexId":"70195199","displayToPublicDate":"2018-02-07T00:00:00","publicationYear":"2018","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":"Year-round presence of neonicotinoid insecticides in tributaries to the Great Lakes, USA","docAbstract":"To better characterize the transport of neonicotinoid insecticides to the world's largest freshwater ecosystem, monthly samples (October 2015–September 2016) were collected from 10 major tributaries to the Great Lakes, USA. For the monthly tributary samples, neonicotinoids were detected in every month sampled and five of the six target neonicotinoids were detected. At least one neonicotinoid was detected in 74% of the monthly samples with up to three neonicotinoids detected in an individual sample (10% of all samples). The most frequently detected neonicotinoid was imidacloprid (53%), followed by clothianidin (44%), thiamethoxam (22%), acetamiprid (2%), and dinotefuran (1%). Thiacloprid was not detected in any samples. The maximum concentration for an individual neonicotinoid was 230 ng L−1 and the maximum total neonicotinoids in an individual sample was 400 ng L−1. The median detected individual neonicotinoid concentrations ranged from non-detect to 10 ng L−1. The detections of clothianidin and thiamethoxam significantly increased as the percent of cultivated crops in the basins increased (ρ = 0.73, P = .01; ρ = 0.66, P = .04, respectively). In contrast, imidacloprid detections significantly increased as the percent of the urbanization in the basins increased (ρ = 0.66, P = .03). Neonicotinoid concentrations generally increased in spring through summer coinciding with the planting of neonicotinoid-treated seeds and broadcast applications of neonicotinoids. More spatially intensive samples were collected in an agriculturally dominated basin (8 sites along the Maumee River, Ohio) twice during the spring, 2016 planting season to provide further information on neonicotinoid inputs to the Great Lakes. Three neonicotinoids were ubiquitously detected (clothianidin, imidacloprid, thiamethoxam) in all water samples collected within this basin. Maximum individual neonicotinoid concentrations was 330 ng L−1 and maximum total neonicotinoid concentration was 670 ng L−1; median detected individual neonicotinoid concentrations were 7.0 to 39 ng L−1.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.envpol.2018.01.013","usgsCitation":"Hladik, M., Corsi, S., Kolpin, D.W., Baldwin, A.K., Blackwell, B., and Cavallin, J.E., 2018, Year-round presence of neonicotinoid insecticides in tributaries to the Great Lakes, USA: Environmental Pollution, v. 235, p. 1022-1029, https://doi.org/10.1016/j.envpol.2018.01.013.","productDescription":"8 p.","startPage":"1022","endPage":"1029","ipdsId":"IP-091249","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true}],"links":[{"id":469022,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6022824","text":"Publisher Index Page"},{"id":351242,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Great Lakes","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.0986328125,\n 39.9434364619742\n ],\n [\n -77.14599609375,\n 39.9434364619742\n ],\n [\n -77.14599609375,\n 46.70973594407157\n ],\n [\n -91.0986328125,\n 46.70973594407157\n ],\n [\n -91.0986328125,\n 39.9434364619742\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"235","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a7c1e6be4b00f54eb229286","contributors":{"authors":[{"text":"Hladik, Michelle L. 0000-0002-0891-2712 mhladik@usgs.gov","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":201293,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle L.","email":"mhladik@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":727399,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Corsi, Steven R. 0000-0003-0583-5536 srcorsi@usgs.gov","orcid":"https://orcid.org/0000-0003-0583-5536","contributorId":172002,"corporation":false,"usgs":true,"family":"Corsi","given":"Steven R.","email":"srcorsi@usgs.gov","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":727400,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kolpin, Dana W. 0000-0002-3529-6505 dwkolpin@usgs.gov","orcid":"https://orcid.org/0000-0002-3529-6505","contributorId":1239,"corporation":false,"usgs":true,"family":"Kolpin","given":"Dana","email":"dwkolpin@usgs.gov","middleInitial":"W.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":727401,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baldwin, Austin K. 0000-0002-6027-3823 akbaldwi@usgs.gov","orcid":"https://orcid.org/0000-0002-6027-3823","contributorId":4515,"corporation":false,"usgs":true,"family":"Baldwin","given":"Austin","email":"akbaldwi@usgs.gov","middleInitial":"K.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":727402,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Blackwell, Brett R.","contributorId":173601,"corporation":false,"usgs":false,"family":"Blackwell","given":"Brett R.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":727403,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cavallin, Jenna E.","contributorId":146304,"corporation":false,"usgs":false,"family":"Cavallin","given":"Jenna","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":727404,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70195195,"text":"70195195 - 2018 - Floodplain trapping and cycling compared to streambank erosion of sediment and nutrients in an agricultural watershed","interactions":[],"lastModifiedDate":"2018-04-02T13:51:41","indexId":"70195195","displayToPublicDate":"2018-02-07T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Floodplain trapping and cycling compared to streambank erosion of sediment and nutrients in an agricultural watershed","docAbstract":"Floodplains and streambanks can positively and negatively influence downstream water quality through interacting geomorphic and biogeochemical processes. Few studies have measured those processes in agricultural watersheds. We measured inputs (floodplain sedimentation and dissolved inorganic loading), cycling (floodplain soil nitrogen [N] and phosphorus [P] mineralization), and losses (bank erosion) of sediment, N, and P longitudinally in stream reaches of Smith Creek, an agricultural watershed in the Valley and Ridge physiographic province. All study reaches were net depositional (floodplain deposition > bank erosion), had high N and P sedimentation and loading rates to the floodplain, high soil concentrations of N and P, and high rates of floodplain soil N and P mineralization. High sediment, N, and P inputs to floodplains are attributed to agricultural activity in the region. Rates of P mineralization were much greater than those measured in other studies of nontidal floodplains that used the same method. Floodplain connectivity and sediment deposition decreased longitudinally, contrary to patterns in most watersheds. The net trapping function of Smith Creek floodplains indicates a benefit to water quality. Further research is needed to determine if future decreases in floodplain deposition, continued bank erosion, and the potential for nitrate leaching from nutrient-enriched floodplain soils could pose a long-term source of sediment and nutrients to downstream rivers.
","language":"English","publisher":"Wiley","doi":"10.1111/1752-1688.12624","usgsCitation":"Gillespie, J., Noe, G.E., Hupp, C.R., Gellis, A.C., and Schenk, E., 2018, Floodplain trapping and cycling compared to streambank erosion of sediment and nutrients in an agricultural watershed: Journal of the American Water Resources Association, v. 54, no. 2, p. 565-582, https://doi.org/10.1111/1752-1688.12624.","productDescription":"18 p.","startPage":"565","endPage":"582","ipdsId":"IP-081496","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":438021,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7Z036BD","text":"USGS data release","linkHelpText":"Floodplain sedimentation, bank erosion, and biogeochemical cycling of sediment and nutrients in Smith Creek (Virginia) 2012-2015"},{"id":351245,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -78.8667,\n 38.4167\n ],\n [\n -78.55,\n 38.4167\n ],\n [\n -78.55,\n 38.7333\n ],\n [\n -78.8667,\n 38.7333\n ],\n [\n -78.8667,\n 38.4167\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"54","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-01-22","publicationStatus":"PW","scienceBaseUri":"5a7c1e6ce4b00f54eb229289","contributors":{"authors":[{"text":"Gillespie, Jaimie 0000-0002-6483-0359","orcid":"https://orcid.org/0000-0002-6483-0359","contributorId":202016,"corporation":false,"usgs":true,"family":"Gillespie","given":"Jaimie","email":"","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":727380,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Noe, Gregory E. 0000-0002-6661-2646 gnoe@usgs.gov","orcid":"https://orcid.org/0000-0002-6661-2646","contributorId":139100,"corporation":false,"usgs":true,"family":"Noe","given":"Gregory","email":"gnoe@usgs.gov","middleInitial":"E.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":727381,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hupp, Cliff R. 0000-0003-1853-9197 crhupp@usgs.gov","orcid":"https://orcid.org/0000-0003-1853-9197","contributorId":2344,"corporation":false,"usgs":true,"family":"Hupp","given":"Cliff","email":"crhupp@usgs.gov","middleInitial":"R.","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":727382,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gellis, Allen C. 0000-0002-3449-2889 agellis@usgs.gov","orcid":"https://orcid.org/0000-0002-3449-2889","contributorId":197684,"corporation":false,"usgs":true,"family":"Gellis","given":"Allen","email":"agellis@usgs.gov","middleInitial":"C.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":727383,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schenk, Edward R.","contributorId":202017,"corporation":false,"usgs":false,"family":"Schenk","given":"Edward R.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":727384,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70195101,"text":"70195101 - 2018 - Why large cells dominate estuarine phytoplankton","interactions":[],"lastModifiedDate":"2018-03-12T13:09:06","indexId":"70195101","displayToPublicDate":"2018-02-07T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2620,"text":"Limnology and Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Why large cells dominate estuarine phytoplankton","docAbstract":"Surveys across the world oceans have shown that phytoplankton biomass and production are dominated by small cells (picoplankton) where nutrient concentrations are low, but large cells (microplankton) dominate when nutrient-rich deep water is mixed to the surface. I analyzed phytoplankton size structure in samples collected over 25 yr in San Francisco Bay, a nutrient-rich estuary. Biomass was dominated by large cells because their biomass selectively grew during blooms. Large-cell dominance appears to be a characteristic of ecosystems at the land–sea interface, and these places may therefore function as analogs to oceanic upwelling systems. Simulations with a size-structured NPZ model showed that runs of positive net growth rate persisted long enough for biomass of large, but not small, cells to accumulate. Model experiments showed that small cells would dominate in the absence of grazing, at lower nutrient concentrations, and at elevated (+5°C) temperatures. Underlying these results are two fundamental scaling laws: (1) large cells are grazed more slowly than small cells, and (2) grazing rate increases with temperature faster than growth rate. The model experiments suggest testable hypotheses about phytoplankton size structure at the land–sea interface: (1) anthropogenic nutrient enrichment increases cell size; (2) this response varies with temperature and only occurs at mid-high latitudes; (3) large-cell blooms can only develop when temperature is below a critical value, around 15°C; (4) cell size diminishes along temperature gradients from high to low latitudes; and (5) large-cell blooms will diminish or disappear where planetary warming increases temperature beyond their critical threshold.
","language":"English","publisher":"Association for the Sciences of Limnology and Oceanography","doi":"10.1002/lno.10749","usgsCitation":"Cloern, J.E., 2018, Why large cells dominate estuarine phytoplankton: Limnology and Oceanography, v. 63, no. S1, p. S392-S409, https://doi.org/10.1002/lno.10749.","productDescription":"18 p.","startPage":"S392","endPage":"S409","ipdsId":"IP-090756","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":469025,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/lno.10749","text":"Publisher Index Page"},{"id":438020,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F74F1P6P","text":"USGS data release","linkHelpText":"Phytoplankton Species Composition, Abundance and Cell Size in San Francisco Bay: Microscopic Analyses of USGS Samples Collected 1992-2014"},{"id":351310,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"63","issue":"S1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-30","publicationStatus":"PW","scienceBaseUri":"5a7c1e71e4b00f54eb2292ca","contributors":{"authors":[{"text":"Cloern, James E. 0000-0002-5880-6862 jecloern@usgs.gov","orcid":"https://orcid.org/0000-0002-5880-6862","contributorId":1488,"corporation":false,"usgs":true,"family":"Cloern","given":"James","email":"jecloern@usgs.gov","middleInitial":"E.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":726930,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70195248,"text":"70195248 - 2018 - Winter swarming behavior by the exotic cladoceran Daphnia lumholtzi Sars, 1885 in a Kentucky (USA) reservoir ","interactions":[],"lastModifiedDate":"2018-03-19T11:17:16","indexId":"70195248","displayToPublicDate":"2018-02-06T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":994,"text":"BioInvasions Records","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Winter swarming behavior by the exotic cladoceran Daphnia lumholtzi Sars, 1885 in a Kentucky (USA) reservoir ","title":"Winter swarming behavior by the exotic cladoceran Daphnia lumholtzi Sars, 1885 in a Kentucky (USA) reservoir ","docAbstract":"We describe swarming behavior in the invasive cladoceran Daphnia lumholtzi Sars, 1885 in a Kentucky, USA, reservoir during winter 2017. The taxon is a highly successful tropical invader and has spread throughout the lower latitude systems in the USA since its discovery in 1991. Other than a few isolated reports, the abundance of D. lumholtzi is often <1 organism L-1. Previous studies indicate that D. lumholtzi is a largely thermophilic species often peaking in abundance in late summer after native daphnids are gone from the water column of lakes and reservoirs. Prior to our study, there have been no published reports of swarming behavior by this species. We document the occurrence of massive swarms (>10,000 organisms L-1) of sexually reproducing females of this exotic cladoceran at water column temperatures <10°C.
","language":"English","publisher":"REABIC","doi":"10.3391/bir.2018.7.1.06","usgsCitation":"Beaver, J.R., Renicker, T.R., Tausz, C.E., Young, J.L., Thomason, J.C., Wolf, Z.L., Russell, A.L., Cherry, M.A., Scotese, K.C., and Koenig, D.T., 2018, Winter swarming behavior by the exotic cladoceran Daphnia lumholtzi Sars, 1885 in a Kentucky (USA) reservoir : BioInvasions Records, v. 7, no. 1, p. 43-50, https://doi.org/10.3391/bir.2018.7.1.06.","productDescription":"8 p.","startPage":"43","endPage":"50","ipdsId":"IP-088884","costCenters":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":469031,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3391/bir.2018.7.1.06","text":"Publisher Index Page"},{"id":438025,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7BZ657V","text":"USGS data release","linkHelpText":"Zooplankton, phytoplankton, and water-quality data for Nolin Lake near Finney, Kentucky during a midwinter swarm by the exotic cladoceran Daphnia lumholtzi, 2016-2017"},{"id":351217,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Kentucky","otherGeospatial":"Nolin Reservoir","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -86.25984191894531,\n 37.27036454209622\n ],\n [\n -86.21366500854492,\n 37.27036454209622\n ],\n [\n -86.21366500854492,\n 37.29904630714422\n ],\n [\n -86.25984191894531,\n 37.29904630714422\n ],\n [\n -86.25984191894531,\n 37.27036454209622\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"7","issue":"1","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a7acd17e4b00f54eb20c579","contributors":{"authors":[{"text":"Beaver, John 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Inc.","active":true,"usgs":false}],"preferred":false,"id":727609,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Young, Jade L.","contributorId":202092,"corporation":false,"usgs":false,"family":"Young","given":"Jade","email":"","middleInitial":"L.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":727610,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thomason, Jennifer C.","contributorId":202093,"corporation":false,"usgs":false,"family":"Thomason","given":"Jennifer","email":"","middleInitial":"C.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":727611,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wolf, Zachary L.","contributorId":202094,"corporation":false,"usgs":false,"family":"Wolf","given":"Zachary","email":"","middleInitial":"L.","affiliations":[{"id":590,"text":"U.S. Army Corps of 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