{"pageNumber":"50","pageRowStart":"1225","pageSize":"25","recordCount":10956,"records":[{"id":70221457,"text":"sir20215057 - 2021 - Bathymetry of New York City’s East of Hudson reservoirs and controlled lakes, 2017 to 2019","interactions":[],"lastModifiedDate":"2021-06-17T10:15:19.443423","indexId":"sir20215057","displayToPublicDate":"2021-06-16T15:05:00","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2021-5057","displayTitle":"Bathymetry of New York City’s East of Hudson Reservoirs and Controlled Lakes, 2017 to 2019","title":"Bathymetry of New York City’s East of Hudson reservoirs and controlled lakes, 2017 to 2019","docAbstract":"

New York City maintains an extensive system of reservoirs and aqueducts to provide drinking water to its residents, including 16 reservoirs and controlled lakes in Westchester and Putnam Counties in southern New York, east of the Hudson River (also called “East of Hudson reservoirs and controlled lakes”). These reservoirs were put into service from 1842 to 1915, and their capacities have likely changed since their original construction. To provide updated bathymetric surface, contour, and capacity data, the U.S. Geological Survey, in cooperation with New York City Department of Environmental Protection, surveyed the bathymetry of the 16 East of Hudson reservoirs and controlled lakes from 2017 to 2019 using a multibeam echosounder. The points measured with the multibeam echosounder were combined with light detection and ranging data to generate 3.28-foot raster grids of the bathymetric surfaces, bathymetric contours at 2-foot intervals of elevation, and elevation-area-capacity tables. The results of the bathymetric survey show that the East of Hudson reservoirs range from about 25 feet deep (Kirk Lake) to about 162 feet deep (Kensico Reservoir) and have a total capacity of 142.9 billion gallons, with a combined surface area of more than 11,600 acres.

The accuracy of the mapped bathymetric data was evaluated using quality assurance datasets collected with a single-beam echosounder; about 284,000 quality assurance points were spatially joined with the mapped raster surface to compute measurement errors. The calculated mean point elevation error for the East of Hudson reservoirs was 0.35 foot, the median error was 0.21 foot, and the 95-percent accuracy was 1.68 feet; the 95-percent accuracy of the computed capacity at spillway elevation was 1.6 percent or less. The largest errors occurred in the steepest areas of the reservoirs and in areas where the data were interpolated. Geospatial files of the bathymetry data, including mapped bathymetric surfaces, contours, and capacity tables, quality assurance points, and associated metadata are available for download as part of an accompanying U.S. Geological Survey data release.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20215057","collaboration":"Prepared in cooperation with the New York City Department of Environmental Protection","usgsCitation":"Nystrom, E.A., Huston, C.J., and Welk, R.J., 2021, Bathymetry of New York City’s East of Hudson reservoirs and controlled lakes, 2017 to 2019: U.S. Geological Survey Scientific Investigations Report 2021–5057, 46 p., https://doi.org/10.3133/sir20215057.","productDescription":"Report: viii, 46 p.; Data Release","numberOfPages":"46","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-119563","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":386538,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9ZZQ2OT","text":"USGS data release","linkHelpText":"Geospatial bathymetry datasets for New York City's East of Hudson Reservoirs and Controlled Lakes"},{"id":386537,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2021/5057/sir20215057.pdf","text":"Report","size":"30.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021-5057"},{"id":386536,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2021/5057/coverthb2.jpg"}],"country":"United States","state":"New York","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.992919921875,\n 40.88029480552824\n ],\n [\n -73.49853515625,\n 40.88029480552824\n ],\n [\n -73.49853515625,\n 41.40153558289846\n ],\n [\n -73.992919921875,\n 41.40153558289846\n ],\n [\n -73.992919921875,\n 40.88029480552824\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

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

","tableOfContents":"","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2021-06-16","noUsgsAuthors":false,"publicationDate":"2021-06-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Nystrom, Elizabeth A. 0000-0002-0886-3439 nystrom@usgs.gov","orcid":"https://orcid.org/0000-0002-0886-3439","contributorId":1072,"corporation":false,"usgs":true,"family":"Nystrom","given":"Elizabeth","email":"nystrom@usgs.gov","middleInitial":"A.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":817759,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Huston, Courtney J. 0000-0002-1518-6448","orcid":"https://orcid.org/0000-0002-1518-6448","contributorId":260355,"corporation":false,"usgs":true,"family":"Huston","given":"Courtney","email":"","middleInitial":"J.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":817760,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Welk, Robert J. 0000-0003-0852-5584 rwelk@usgs.gov","orcid":"https://orcid.org/0000-0003-0852-5584","contributorId":194109,"corporation":false,"usgs":true,"family":"Welk","given":"Robert","email":"rwelk@usgs.gov","middleInitial":"J.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":817761,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70221425,"text":"ofr20211068 - 2021 - Decision analysis of barrier placement and targeted removal to control invasive carp in the Tennessee River Basin","interactions":[],"lastModifiedDate":"2024-03-04T19:53:34.651544","indexId":"ofr20211068","displayToPublicDate":"2021-06-15T14:21:29","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2021-1068","displayTitle":"Decision Analysis of Barrier Placement and Targeted Removal to Control Invasive Carp in the Tennessee River Basin","title":"Decision analysis of barrier placement and targeted removal to control invasive carp in the Tennessee River Basin","docAbstract":"

Controlling range expansion of invasive carp (specifically Hypophthalmichthys spp.) on the Tennessee River is important to conserve the ecological and economic benefits provided by the river. We collaborated with State and Federal agencies (the stakeholder group) to develop a decision framework and decision support model to evaluate strategies to control carp expansion in the Tennessee River. Using this decision framework, we assessed the efficacy of various barrier strategies (technologies and locations) on reducing bigheaded carp (Hypophthalmichthys nobilis [bighead carp] and Hypophthalmichthys molitrix [silver carp]) relative abundance under different patterns and magnitudes of population growth and movement. We also assessed whether or not these strategies induced tradeoffs between reducing bigheaded carp relative abundance and other considerations for public satisfaction, effects on lock operation, and native species. For the purpose of comparing options to control carp in a quantitative framework, we codeveloped a carp population dynamics model with the stakeholder group. We then used the model to compare invasive carp management options within the Tennessee River system. The actions we considered included barrier placement at lock and dam systems and targeted removal through harvest, which were believed to impede upstream carp spread and establishment. To account for the uncertainty in carp population growth and movement rates, the group developed four population models that varied in the underlying population dynamics and population growth rates. The models affected population growth through either the stock-recruitment relation or intrinsic density-dependent growth rate. We then tasked the stakeholder group to test various strategies using the model. We then developed a more formal optimization framework and solved for strategies that performed well under scenarios of barrier effectiveness, movement rate, recruitment frequency, fishing mortality, and variation in population growth rate. The results of our qualitative and quantitative analyses indicated that strategies designed to first protect reservoirs just above the leading edge of carp invasion by installing barriers and removing fish below that point would perform best; however, this depended on barrier effectiveness. When barrier effectiveness was high, simply cutting off the presumed source of carp and blocking the leading the edge was enough to stop carp invasion; however, lower effectiveness meant that more barriers would be needed to slow, but not completely stop, carp invasion. We discuss what these findings mean in terms of future monitoring and management efforts to reduce the potential for expanding carp invasion.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20211068","programNote":"Biological Threats Research Program","usgsCitation":"Post van der Burg, M., Smith, D.R., Cupp, A.R., Rogers, M.W., and Chapman, D.C., 2021, Decision analysis of barrier placement and targeted removal to control invasive carp in the Tennessee River Basin: U.S. Geological Survey Open-File Report 2021–1068, 18 p., https://doi.org/10.3133/ofr20211068.","productDescription":"vi, 18 p.","numberOfPages":"28","onlineOnly":"Y","ipdsId":"IP-129842","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":386492,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2021/1068/coverthb2.jpg"},{"id":386493,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2021/1068/ofr20211068.pdf","text":"Report","size":"979 kB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2021–1068"}],"country":"United States","state":"Kentucky","otherGeospatial":"Tennessee River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.516845703125,\n 37.01132594307015\n ],\n [\n -87.12158203125,\n 37.42252593456307\n ],\n [\n -85.111083984375,\n 38.212288054388175\n ],\n [\n -84.13330078125,\n 38.74551518488265\n ],\n [\n -84.48486328124999,\n 39.036252959636606\n ],\n [\n -85.078125,\n 39.13006024213511\n ],\n [\n -85.97900390625,\n 38.98503278695909\n ],\n [\n -87.022705078125,\n 38.54816542304656\n ],\n [\n -87.945556640625,\n 38.24680876017446\n ],\n [\n -88.72558593749999,\n 37.70120736474139\n ],\n [\n -88.78051757812499,\n 37.32648861334206\n ],\n [\n -88.472900390625,\n 36.99377838872517\n ],\n [\n -88.516845703125,\n 37.01132594307015\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

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

Contact Pubs Warehouse

","tableOfContents":"","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2021-06-15","noUsgsAuthors":false,"publicationDate":"2021-06-15","publicationStatus":"PW","contributors":{"authors":[{"text":"van der Burg, Max Post 0000-0002-3943-4194","orcid":"https://orcid.org/0000-0002-3943-4194","contributorId":219439,"corporation":false,"usgs":true,"family":"van der Burg","given":"Max Post","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":817674,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, David R. 0000-0001-6074-9257 drsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-6074-9257","contributorId":168442,"corporation":false,"usgs":true,"family":"Smith","given":"David","email":"drsmith@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":817675,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cupp, Aaron R. 0000-0001-5995-2100 acupp@usgs.gov","orcid":"https://orcid.org/0000-0001-5995-2100","contributorId":5162,"corporation":false,"usgs":true,"family":"Cupp","given":"Aaron","email":"acupp@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":817676,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rogers, Mark W. 0000-0001-7205-5623 mwrogers@usgs.gov","orcid":"https://orcid.org/0000-0001-7205-5623","contributorId":4590,"corporation":false,"usgs":true,"family":"Rogers","given":"Mark","email":"mwrogers@usgs.gov","middleInitial":"W.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":817677,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chapman, Duane 0000-0002-1086-8853 dchapman@usgs.gov","orcid":"https://orcid.org/0000-0002-1086-8853","contributorId":1291,"corporation":false,"usgs":true,"family":"Chapman","given":"Duane","email":"dchapman@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":817678,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70223388,"text":"70223388 - 2021 - Sea otter population collapse in southwest Alaska: Assessing ecological covariates, consequences, and causal factors","interactions":[],"lastModifiedDate":"2021-11-16T15:36:04.430448","indexId":"70223388","displayToPublicDate":"2021-06-15T07:37:38","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1459,"text":"Ecological Monographs","active":true,"publicationSubtype":{"id":10}},"title":"Sea otter population collapse in southwest Alaska: Assessing ecological covariates, consequences, and causal factors","docAbstract":"

Sea otter (Enhydra lutris) populations in southwest Alaska declined substantially between about 1990 and the most recent set of surveys in 2015. Here we report changes in the distribution and abundance of sea otters, and covarying patterns in reproduction, mortality, body size and condition, diet and foraging behavior, food availability, health profiles, and exposure to environmental contaminants over this 25-yr period. The population decline, which resulted in densities on the order of 5% of environmental carrying capacity, ranged from Attu Island in the west to about Castle Cape (on the south side of the Alaska Peninsula) in the east. Remaining sea otters moved closer to shore and into shallow, protected habitats. Reproductive rates appeared unchanged with the decline. Although the demographic cause of the decline was clearly elevated mortality, stranded carcasses were rare or absent. The net rate of energy gain by foraging sea otters, body length and condition, and prey biomass density, all increased after the decline and varied inversely with sea otter population density beyond the area of decline. Sea otters within the area of decline showed no increases in health anomalies, disease, contaminant exposure, or abnormal gene transcription patterns as compared to animals outside the area of decline. These collective findings are inconsistent with nutritional limitation, disease, or environmental contaminants, and consistent with predation (or possibly some other density-independent factor) as the reason for the sea otter population decline. Our approach and analyses provide a broad conceptual template for thinking about and assessing the causes of wildlife population declines.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecm.1472","usgsCitation":"Tinker, M., Bodkin, J., Bowen, L., Ballachey, B., Bentall, G., Burdin, A., Coletti, H., Esslinger, G.G., Hatfield, B.B., Kenner, M.C., Kloecker, K.A., Konar, B., Miles, A.K., Monson, D., Murray, M.J., Weitzman, B., and Estes, J.A., 2021, Sea otter population collapse in southwest Alaska: Assessing ecological covariates, consequences, and causal factors: Ecological Monographs, v. 91, no. 4, e01472, 55 p., https://doi.org/10.1002/ecm.1472.","productDescription":"e01472, 55 p.","ipdsId":"IP-124893","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":451878,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecm.1472","text":"Publisher Index Page"},{"id":436308,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P94Z7AO8","text":"USGS data release","linkHelpText":"Persistent Organic Pollutants in Sea Otter Blood and in Blue Mussels from the Aleutian Islands and Southeast Alaska"},{"id":436307,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9Q5PD3Y","text":"USGS data release","linkHelpText":"Morphometric and Reproductive Status Data for Sea Otters Collected or Captured in Alaska"},{"id":388472,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -170.59570312499997,\n 52.26815737376817\n ],\n [\n -158.5107421875,\n 55.32914440840507\n ],\n [\n -153.8525390625,\n 58.286395482881034\n ],\n [\n -159.7412109375,\n 57.657157596582984\n ],\n [\n -166.11328125,\n 55.20395325785898\n ],\n [\n -176.30859375,\n 52.74959372674114\n ],\n [\n -180.52734375,\n 52.214338608258196\n ],\n [\n -181.9775390625,\n 51.536085601784755\n ],\n [\n -180.3076171875,\n 51.069016659603896\n ],\n [\n -178.63769531249997,\n 51.17934297928927\n ],\n [\n -170.59570312499997,\n 52.26815737376817\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"91","issue":"4","noUsgsAuthors":false,"publicationDate":"2021-08-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Tinker, M. 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Tim","affiliations":[{"id":40428,"text":"University of California, Santa Cruz; former USGS PI","active":true,"usgs":false}],"preferred":false,"id":821909,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bodkin, James L. 0000-0003-1641-4438","orcid":"https://orcid.org/0000-0003-1641-4438","contributorId":264733,"corporation":false,"usgs":false,"family":"Bodkin","given":"James L.","affiliations":[{"id":40616,"text":"former USGS PI","active":true,"usgs":false}],"preferred":false,"id":821910,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bowen, Lizabeth 0000-0001-9115-4336 lbowen@usgs.gov","orcid":"https://orcid.org/0000-0001-9115-4336","contributorId":4539,"corporation":false,"usgs":true,"family":"Bowen","given":"Lizabeth","email":"lbowen@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":821911,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ballachey, Brenda 0000-0003-1855-9171","orcid":"https://orcid.org/0000-0003-1855-9171","contributorId":264735,"corporation":false,"usgs":false,"family":"Ballachey","given":"Brenda","affiliations":[{"id":24583,"text":"former USGS employee","active":true,"usgs":false}],"preferred":false,"id":821912,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bentall, Gena","contributorId":214297,"corporation":false,"usgs":false,"family":"Bentall","given":"Gena","affiliations":[{"id":6953,"text":"Monterey Bay Aquarium","active":true,"usgs":false}],"preferred":false,"id":821913,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Burdin, Alexander","contributorId":146169,"corporation":false,"usgs":false,"family":"Burdin","given":"Alexander","email":"","affiliations":[],"preferred":false,"id":821914,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Coletti, Heather","contributorId":258849,"corporation":false,"usgs":false,"family":"Coletti","given":"Heather","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":821915,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Esslinger, George G. 0000-0002-3459-0083 gesslinger@usgs.gov","orcid":"https://orcid.org/0000-0002-3459-0083","contributorId":131009,"corporation":false,"usgs":true,"family":"Esslinger","given":"George","email":"gesslinger@usgs.gov","middleInitial":"G.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":821916,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hatfield, Brian B. 0000-0003-1432-2660 brian_hatfield@usgs.gov","orcid":"https://orcid.org/0000-0003-1432-2660","contributorId":147917,"corporation":false,"usgs":true,"family":"Hatfield","given":"Brian","email":"brian_hatfield@usgs.gov","middleInitial":"B.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":821917,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kenner, Michael C. 0000-0003-4659-461X","orcid":"https://orcid.org/0000-0003-4659-461X","contributorId":208151,"corporation":false,"usgs":true,"family":"Kenner","given":"Michael","email":"","middleInitial":"C.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":821918,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Kloecker, Kimberly A. 0000-0002-2461-968X kkloecker@usgs.gov","orcid":"https://orcid.org/0000-0002-2461-968X","contributorId":3442,"corporation":false,"usgs":true,"family":"Kloecker","given":"Kimberly","email":"kkloecker@usgs.gov","middleInitial":"A.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":821919,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Konar, Brenda","contributorId":131034,"corporation":false,"usgs":false,"family":"Konar","given":"Brenda","affiliations":[{"id":7211,"text":"University of Alaska, Fairbanks","active":true,"usgs":false}],"preferred":false,"id":821920,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Miles, A. Keith 0000-0002-3108-808X keith_miles@usgs.gov","orcid":"https://orcid.org/0000-0002-3108-808X","contributorId":196,"corporation":false,"usgs":true,"family":"Miles","given":"A.","email":"keith_miles@usgs.gov","middleInitial":"Keith","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":821921,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Monson, Daniel 0000-0002-4593-5673 dmonson@usgs.gov","orcid":"https://orcid.org/0000-0002-4593-5673","contributorId":196670,"corporation":false,"usgs":true,"family":"Monson","given":"Daniel","email":"dmonson@usgs.gov","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":821922,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Murray, Michael J.","contributorId":206852,"corporation":false,"usgs":false,"family":"Murray","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":37418,"text":"Monterey Bay Aquarium, Monterey, CA","active":true,"usgs":false}],"preferred":false,"id":821923,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Weitzman, Ben","contributorId":252838,"corporation":false,"usgs":false,"family":"Weitzman","given":"Ben","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":821924,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Estes, James A. 0000-0002-3632-4555 jim_estes@usgs.gov","orcid":"https://orcid.org/0000-0002-3632-4555","contributorId":240955,"corporation":false,"usgs":false,"family":"Estes","given":"James","email":"jim_estes@usgs.gov","middleInitial":"A.","affiliations":[{"id":36629,"text":"University of California","active":true,"usgs":false}],"preferred":false,"id":821925,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}} ,{"id":70222090,"text":"70222090 - 2021 - Recency of faulting and subsurface architecture of the San Diego Bay pull-apart basin, California, USA","interactions":[],"lastModifiedDate":"2021-07-19T23:18:37.411565","indexId":"70222090","displayToPublicDate":"2021-06-11T18:12:32","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5232,"text":"Frontiers in Earth Science","onlineIssn":"2296-6463","active":true,"publicationSubtype":{"id":10}},"title":"Recency of faulting and subsurface architecture of the San Diego Bay pull-apart basin, California, USA","docAbstract":"In southern California, plate boundary motion between the North American and Pacific plates is distributed across several sub-parallel fault systems. The offshore faults of the California Continental Borderland (CCB) are thought to accommodate ~10-15% of the total plate boundary motion, but the exact distribution of slip and the mechanics of slip partitioning remain uncertain. The Newport-Inglewood-Rose Canyon fault is the easternmost fault within the CCB whose southern segment splays out into a complex network of faults beneath San Diego Bay. A pull-apart basin model between the Rose Canyon and the offshore Descanso fault has been used to explain prominent fault orientations and subsidence beneath San Diego Bay; however this model does not account for faults in the southern portion of the bay or faulting east of the bay. To investigate the characteristics of faulting and stratigraphic architecture beneath San Diego Bay, we combined a suite of reprocessed legacy airgun multi-channel seismic profiles and high-resolution Chirp data, with age and lithology controls from geotechnical boreholes and shallow sub-surface vibracores. This combined dataset is used to create gridded horizon surfaces, fault maps, and perform a kinematic fault analysis. The structure beneath San Diego Bay is dominated by down-to-the-east motion on normal faults that can be separated into two distinct groups. The strikes of these two fault groups can be explained with a double pull-apart basin model for San Diego Bay. In our conceptual model, the western portion of San Diego Bay is controlled by a right-step between the Rose Canyon and Descanso faults, which matches both observations and predictions from laboratory models. The eastern portion of San Diego Bay appears to be controlled by an inferred step-over between the Rose Canyon and San Miguel-Vallecitos faults and displays distinct fault strike orientations, which kinematic analysis indicates should have a significant component of strike-slip partitioning that is not detectable in the seismic data. The potential of a Rose Canyon-San Miguel-Vallecitos fault connection would effectively cut the stepover distance in half and have important implications for the seismic hazard of the San Diego-Tijuana metropolitan area (population ~3 million people).","language":"English","publisher":"Frontiers Media","doi":"10.3389/feart.2021.641346","usgsCitation":"Singleton, D.M., Maloney, J.M., Brothers, D.S., Klotsko, S., Driscoll, N., and Rockwell, T.K., 2021, Recency of faulting and subsurface architecture of the San Diego Bay pull-apart basin, California, USA: Frontiers in Earth Science, v. 9, 641346, 25 p., https://doi.org/10.3389/feart.2021.641346.","productDescription":"641346, 25 p.","ipdsId":"IP-125700","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":451910,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/feart.2021.641346","text":"Publisher Index Page"},{"id":436315,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P93Z2LYJ","text":"USGS data release","linkHelpText":"Reprocessed multichannel seismic-reflection (MCS) data from USGS field activity T-1-96-SC collected in San Diego Bay, California in 1996"},{"id":387256,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Diego Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.34771728515625,\n 32.602361666817515\n ],\n [\n -117.037353515625,\n 32.602361666817515\n ],\n [\n -117.037353515625,\n 32.858825196463854\n ],\n [\n -117.34771728515625,\n 32.858825196463854\n ],\n [\n -117.34771728515625,\n 32.602361666817515\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"9","noUsgsAuthors":false,"publicationDate":"2021-06-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Singleton, Drake Moore 0000-0001-5346-0623","orcid":"https://orcid.org/0000-0001-5346-0623","contributorId":261207,"corporation":false,"usgs":true,"family":"Singleton","given":"Drake","email":"","middleInitial":"Moore","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":819471,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Maloney, Jillian M. 0000-0001-8223-4676","orcid":"https://orcid.org/0000-0001-8223-4676","contributorId":261208,"corporation":false,"usgs":false,"family":"Maloney","given":"Jillian","email":"","middleInitial":"M.","affiliations":[{"id":6608,"text":"San Diego State University","active":true,"usgs":false}],"preferred":false,"id":819472,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brothers, Daniel S. 0000-0001-7702-157X dbrothers@usgs.gov","orcid":"https://orcid.org/0000-0001-7702-157X","contributorId":167089,"corporation":false,"usgs":true,"family":"Brothers","given":"Daniel","email":"dbrothers@usgs.gov","middleInitial":"S.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":819473,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Klotsko, Shannon","contributorId":261209,"corporation":false,"usgs":false,"family":"Klotsko","given":"Shannon","affiliations":[{"id":52774,"text":"University of North Carolina - Wilmington","active":true,"usgs":false}],"preferred":false,"id":819474,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Driscoll, Neal W.","contributorId":261210,"corporation":false,"usgs":false,"family":"Driscoll","given":"Neal W.","affiliations":[{"id":38264,"text":"Scripps Institution of Oceanography","active":true,"usgs":false}],"preferred":false,"id":819475,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rockwell, Thomas K.","contributorId":53290,"corporation":false,"usgs":true,"family":"Rockwell","given":"Thomas","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":819476,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70223351,"text":"70223351 - 2021 - Population estimates and trends of three Maui Island-endemic Hawaiian Honeycreepers","interactions":[],"lastModifiedDate":"2021-08-24T12:51:04.010857","indexId":"70223351","displayToPublicDate":"2021-06-11T07:48:46","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2284,"text":"Journal of Field Ornithology","active":true,"publicationSubtype":{"id":10}},"title":"Population estimates and trends of three Maui Island-endemic Hawaiian Honeycreepers","docAbstract":"

Population monitoring is critical for informing the management and conservation of rare Hawaiian forest birds. In 2017, we used point-transect distance sampling methods to estimate population densities of birds on Haleakalā Volcano on east Maui island. We estimated the populations and ranges of three island-endemic Hawaiian honeycreepers, including the endangered ‘Ākohekohe (Palmeria dolei), the endangered Kiwikiu (Maui Parrotbill; Pseudonestor xanthophrys), and the Maui ʻAlauahio (Paroreomyza montana newtoni). We examined population trends back to 1980, and our 2017 density estimates were the lowest ever recorded for each species. Most concerning was the status of Kiwikiu, with a 71% decline in population since 2001 to a current population of 157 (95% CI 44–312) birds. The population of ‘Ākohekohe similarly decreased by 78% to a current population of 1768 (1193–2411) birds. For both species, population declines were due to declines in density and contraction of ranges from lower elevations. Both species are now restricted to ranges of less than 3000 ha. We surveyed ~ 91% of the range of Maui ‘Alauahio and estimated a population of 99,060 (88,502–106,954) birds, a 41% decrease since the highest estimate in 1992. Contraction of ranges to higher elevations is consistent with evidence that the impacts of avian malaria are being exacerbated by global warming trends. Our results indicate that the landscape control of either avian malaria transmission or its vector (Culex mosquitoes) will be a pre-requisite to preventing the extinction of endemic forest birds in Hawaii.

","language":"English","publisher":"Wiley","doi":"10.1111/jofo.12364","usgsCitation":"Judge, S., Warren, C.C., Camp, R.J., Berthold, L.K., Mounce, H., Hart, P.J., and Monello, R.J., 2021, Population estimates and trends of three Maui Island-endemic Hawaiian Honeycreepers: Journal of Field Ornithology, v. 92, no. 2, p. 115-126, https://doi.org/10.1111/jofo.12364.","productDescription":"12 p.","startPage":"115","endPage":"126","ipdsId":"IP-124720","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":451922,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/jofo.12364","text":"Publisher Index Page"},{"id":388410,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Maui","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -156.42333984375,\n 18.823116948090494\n ],\n [\n -154.51171875,\n 18.823116948090494\n ],\n [\n -154.51171875,\n 20.447602397594167\n ],\n [\n -156.42333984375,\n 20.447602397594167\n ],\n [\n -156.42333984375,\n 18.823116948090494\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"92","issue":"2","noUsgsAuthors":false,"publicationDate":"2021-06-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Judge, Seth 0000-0003-3832-3246","orcid":"https://orcid.org/0000-0003-3832-3246","contributorId":189965,"corporation":false,"usgs":false,"family":"Judge","given":"Seth","email":"","affiliations":[],"preferred":false,"id":821823,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Warren, Christopher C","contributorId":264665,"corporation":false,"usgs":false,"family":"Warren","given":"Christopher","email":"","middleInitial":"C","affiliations":[{"id":54533,"text":"Maui Forest Bird Recovery Project, Pacific Cooperative Studies Unit, University of Hawai‘i at Manoa","active":true,"usgs":false}],"preferred":false,"id":821824,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Camp, Richard J. 0000-0001-7008-923X rick_camp@usgs.gov","orcid":"https://orcid.org/0000-0001-7008-923X","contributorId":189964,"corporation":false,"usgs":true,"family":"Camp","given":"Richard","email":"rick_camp@usgs.gov","middleInitial":"J.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":821825,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Berthold, Laura K","contributorId":264666,"corporation":false,"usgs":false,"family":"Berthold","given":"Laura","email":"","middleInitial":"K","affiliations":[{"id":54533,"text":"Maui Forest Bird Recovery Project, Pacific Cooperative Studies Unit, University of Hawai‘i at Manoa","active":true,"usgs":false}],"preferred":false,"id":821826,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mounce, Hanna L.","contributorId":253154,"corporation":false,"usgs":false,"family":"Mounce","given":"Hanna L.","affiliations":[{"id":13352,"text":"Maui Forest Bird Recovery Project","active":true,"usgs":false}],"preferred":false,"id":821827,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hart, Patrick J.","contributorId":147728,"corporation":false,"usgs":false,"family":"Hart","given":"Patrick","email":"","middleInitial":"J.","affiliations":[{"id":6977,"text":"University of Hawai`i at Hilo","active":true,"usgs":false}],"preferred":false,"id":821828,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Monello, Ryan J.","contributorId":184143,"corporation":false,"usgs":false,"family":"Monello","given":"Ryan","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":821829,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70221540,"text":"70221540 - 2021 - Identification of Aphanomyces invadans, the cause of epizootic ulcerative syndrome, in smallmouth bass (Micropterus dolomieu) from the Cheat River, West Virginia, USA","interactions":[],"lastModifiedDate":"2021-09-14T16:14:46.156546","indexId":"70221540","displayToPublicDate":"2021-06-11T07:24:23","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2286,"text":"Journal of Fish Diseases","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Identification of Aphanomyces invadans, the cause of epizootic ulcerative syndrome, in smallmouth bass (Micropterus dolomieu) from the Cheat River, West Virginia, USA","title":"Identification of Aphanomyces invadans, the cause of epizootic ulcerative syndrome, in smallmouth bass (Micropterus dolomieu) from the Cheat River, West Virginia, USA","docAbstract":"

The oomycete Aphanomyces invadans (Saprolegniales, Oomycetes), the cause of epizootic ulcerative syndrome (EUS), is an OIE (World Organization for Animal Health) reportable pathogen, capable of infecting many fish species worldwide in both freshwater and estuarine environments (Iberahim et al. 2018). Since the discovery of EUS in Japan in 1971 (Egusa and Masuda 1971), it has spread globally and caused substantial fish mortalities and economic losses (Lilley et al. 1998). Cases in the United States have included lesions initially named ulcerative mycosis of Atlantic menhaden Brevoortia tyrannus (Noga et al. 1988) along the Atlantic coast and later confirmed as A. invadans in menhaden from the Chesapeake Bay (Blazer et al. 1999). It has also been reported in several freshwater and estuarine fishes from Florida, including largemouth bass Micropterus salmoides (Sosa et al. 2007) and channel catfish, black bullhead, and bluegill from recreational ponds in Louisiana (Hawke et al. 2003).This communication reports the finding of A. invadans in smallmouth bass Micropterus dolomieu from the Cheat River, West Virginia. During fish health assessments in October 2020, smallmouth bass with grossly observable skin lesions were determined to be infected with A. invadans. We believe this is the first report of A. invadans infection in smallmouth bass and it was not observed during previous health assessments in this region.

","language":"English","publisher":"Wiley","doi":"10.1111/jfd.13468","usgsCitation":"Walsh, H.L., Blazer, V., and Mazik, P.M., 2021, Identification of Aphanomyces invadans, the cause of epizootic ulcerative syndrome, in smallmouth bass (Micropterus dolomieu) from the Cheat River, West Virginia, USA: Journal of Fish Diseases, v. 44, no. 10, p. 1639-1641, https://doi.org/10.1111/jfd.13468.","productDescription":"3 p.","startPage":"1639","endPage":"1641","ipdsId":"IP-129024","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":386645,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"West Virginia","otherGeospatial":"Cheat River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.16448974609375,\n 39.39587712612034\n ],\n [\n -79.84039306640625,\n 39.39587712612034\n ],\n [\n -79.84039306640625,\n 39.71775084250472\n ],\n [\n -80.16448974609375,\n 39.71775084250472\n ],\n [\n -80.16448974609375,\n 39.39587712612034\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"44","issue":"10","noUsgsAuthors":false,"publicationDate":"2021-06-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Walsh, Heather L. 0000-0001-6392-4604 hwalsh@usgs.gov","orcid":"https://orcid.org/0000-0001-6392-4604","contributorId":4696,"corporation":false,"usgs":true,"family":"Walsh","given":"Heather","email":"hwalsh@usgs.gov","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":817997,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blazer, Vicki S. 0000-0001-6647-9614 vblazer@usgs.gov","orcid":"https://orcid.org/0000-0001-6647-9614","contributorId":150384,"corporation":false,"usgs":true,"family":"Blazer","given":"Vicki S.","email":"vblazer@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":818038,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mazik, Patricia M. 0000-0002-8046-5929 pmazik@usgs.gov","orcid":"https://orcid.org/0000-0002-8046-5929","contributorId":2318,"corporation":false,"usgs":true,"family":"Mazik","given":"Patricia","email":"pmazik@usgs.gov","middleInitial":"M.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":818039,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70221853,"text":"70221853 - 2021 - A decision-analytical framework for developing harvest regulations","interactions":[],"lastModifiedDate":"2021-07-13T00:44:37.862671","indexId":"70221853","displayToPublicDate":"2021-06-07T19:39:38","publicationYear":"2021","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"7","title":"A decision-analytical framework for developing harvest regulations","docAbstract":"

The development of harvest regulations for fish or wildlife is a complex decision that needs to weigh multiple objectives, consider a set of alternative regulatory options, integrate scientific understanding about the population dynamics of the harvested species as well as the human response to regulations, account for uncertainty, and provide an avenue for feedback from monitoring programs. The author describes how the field of decision analysis provides a framework for structuring such decisions and tools for navigating the components. At the center of any harvest management endeavor is a set of objectives that may include providing harvest opportunity, conserving the harvested population long into the future, and satisfying hunters, anglers, or trappers; tools from multi-criteria decision analysis are useful in finding the right balance among competing objectives. The population dynamics of harvested populations are often stochastic; tools from risk analysis and dynamic optimization can be used to find state-dependent policies that manage variation. Finally, harvest regulations are often set in the face of uncertainty; value-of-information methods can be used to evaluate the importance of that uncertainty, and adaptive management methods can be used to reduce it.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Harvest of fish and wildlife: New paradigms for sustainable management","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"CRC Press","doi":"10.1201/9781003009054","usgsCitation":"Runge, M.C., 2021, A decision-analytical framework for developing harvest regulations, chap. 7 of Harvest of fish and wildlife: New paradigms for sustainable management, 15 p., https://doi.org/10.1201/9781003009054.","productDescription":"15 p.","ipdsId":"IP-123515","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":387143,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2021-05-11","publicationStatus":"PW","contributors":{"editors":[{"text":"Pope, Kevin L. 0000-0003-1876-1687 kpope@usgs.gov","orcid":"https://orcid.org/0000-0003-1876-1687","contributorId":1574,"corporation":false,"usgs":true,"family":"Pope","given":"Kevin","email":"kpope@usgs.gov","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":819202,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Powell, Larkin A.","contributorId":15100,"corporation":false,"usgs":true,"family":"Powell","given":"Larkin A.","affiliations":[],"preferred":false,"id":819203,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":819006,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70221729,"text":"70221729 - 2021 - Recent carbon storage and burial exceed historic rates in the San Juan Bay estuary peri-urban mangrove forests (Puerto Rico, United States)","interactions":[],"lastModifiedDate":"2021-06-30T13:02:41.288765","indexId":"70221729","displayToPublicDate":"2021-06-07T07:56:06","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5860,"text":"Frontiers in Forests and Global Change","active":true,"publicationSubtype":{"id":10}},"title":"Recent carbon storage and burial exceed historic rates in the San Juan Bay estuary peri-urban mangrove forests (Puerto Rico, United States)","docAbstract":"

Mangroves sequester significant quantities of organic carbon (C) because of high rates of burial in the soil and storage in biomass. We estimated mangrove forest C storage and accumulation rates in aboveground and belowground components among five sites along an urbanization gradient in the San Juan Bay Estuary, Puerto Rico. Sites included the highly urbanized and clogged Caño Martin Peña in the western half of the estuary, a series of lagoons in the center of the estuary, and a tropical forest reserve (Piñones) in the easternmost part. Radiometrically dated cores were used to determine sediment accretion and soil C storage and burial rates. Measurements of tree dendrometers coupled with allometric equations were used to estimate aboveground biomass. Estuary-wide mangrove forest C storage and accumulation rates were estimated using interpolation methods and coastal vegetation cover data. In recent decades (1970–2016), the highly urbanized Martin Peña East (MPE) site with low flushing had the highest C storage and burial rates among sites. The MPE soil carbon burial rate was over twice as great as global estimates. Mangrove forest C burial rates in recent decades were significantly greater than historic decades (1930–1970) at Caño Martin Peña and Piñones. Although MPE and Piñones had similarly low flushing, the landscape settings (clogged canal vs forest reserve) and urbanization (high vs low) were different. Apparently, not only urbanization, but site-specific flushing patterns, landscape setting, and soil fertility affected soil C storage and burial rates. There was no difference in C burial rates between historic and recent decades at the San José and La Torrecilla lagoons. Mangrove forests had soil C burial rates ranging from 88 g m–2 y–1 at the San José lagoon to 469 g m–2 y–1 at the MPE in recent decades. Watershed anthropogenic CO2 emissions (1.56 million Mg C y–1) far exceeded the annual mangrove forest C storage rates (aboveground biomass plus soils: 17,713 Mg C y–1). A combination of maintaining healthy mangrove forests and reducing anthropogenic emissions might be necessary to mitigate greenhouse gas emissions in urban, tropical areas.

","language":"English","publisher":"Frontiers","doi":"10.3389/ffgc.2021.676691","usgsCitation":"Wigand, C., Eagle, M.J., Branoff, B., Balogh, S., Miller, K., Martin, R.M., Hanson, A., Oczkowski, A., Huertas, E., Loffredo, J., and Watson, E., 2021, Recent carbon storage and burial exceed historic rates in the San Juan Bay estuary peri-urban mangrove forests (Puerto Rico, United States): Frontiers in Forests and Global Change, v. 4, 14 p., https://doi.org/10.3389/ffgc.2021.676691.","productDescription":"14 p.","ipdsId":"IP-127865","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":451994,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/ffgc.2021.676691","text":"Publisher Index Page"},{"id":436326,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P97CAF30","text":"USGS data release","linkHelpText":"Collection, analysis, and age-dating of sediment cores from mangrove wetlands in San Juan Bay Estuary, Puerto Rico, 2016"},{"id":386891,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Puerto Rico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -67.357177734375,\n 17.756534036838417\n ],\n [\n -65.58013916015625,\n 17.756534036838417\n ],\n [\n -65.58013916015625,\n 18.599395202198725\n ],\n [\n -67.357177734375,\n 18.599395202198725\n ],\n [\n -67.357177734375,\n 17.756534036838417\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"4","noUsgsAuthors":false,"publicationDate":"2021-06-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Wigand, Cathleen","contributorId":260715,"corporation":false,"usgs":false,"family":"Wigand","given":"Cathleen","affiliations":[{"id":52652,"text":"US EPA, Atlantic Coastal Environmental Sciences Division, Narragansett, RI","active":true,"usgs":false}],"preferred":false,"id":818541,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eagle, Meagan J. 0000-0001-5072-2755 meagle@usgs.gov","orcid":"https://orcid.org/0000-0001-5072-2755","contributorId":242890,"corporation":false,"usgs":true,"family":"Eagle","given":"Meagan","email":"meagle@usgs.gov","middleInitial":"J.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":818542,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Branoff, Benjamin","contributorId":216871,"corporation":false,"usgs":false,"family":"Branoff","given":"Benjamin","affiliations":[{"id":39539,"text":"University of Puerto Rico, San Juan, PR","active":true,"usgs":false}],"preferred":false,"id":818543,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Balogh, Stephen","contributorId":260716,"corporation":false,"usgs":false,"family":"Balogh","given":"Stephen","email":"","affiliations":[{"id":52652,"text":"US EPA, Atlantic Coastal Environmental Sciences Division, Narragansett, RI","active":true,"usgs":false}],"preferred":false,"id":818544,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Miller, Kenneth","contributorId":260717,"corporation":false,"usgs":false,"family":"Miller","given":"Kenneth","affiliations":[{"id":52655,"text":"General Dynamics Information Technology, 6361 Walker Lane, Suite 300 Alexandria, VA","active":true,"usgs":false}],"preferred":false,"id":818545,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Martin, Rose M.","contributorId":211671,"corporation":false,"usgs":false,"family":"Martin","given":"Rose","email":"","middleInitial":"M.","affiliations":[{"id":38313,"text":"Atlantic Ecology Division, Environmental Protection Agency, 27 Tarzwell Dr. Narragansett, RI","active":true,"usgs":false}],"preferred":false,"id":818546,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hanson, Alana","contributorId":260718,"corporation":false,"usgs":false,"family":"Hanson","given":"Alana","affiliations":[{"id":52652,"text":"US EPA, Atlantic Coastal Environmental Sciences Division, Narragansett, RI","active":true,"usgs":false}],"preferred":false,"id":818547,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Oczkowski, Autumn","contributorId":260719,"corporation":false,"usgs":false,"family":"Oczkowski","given":"Autumn","email":"","affiliations":[{"id":52652,"text":"US EPA, Atlantic Coastal Environmental Sciences Division, Narragansett, RI","active":true,"usgs":false}],"preferred":false,"id":818548,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Huertas, Evelyn","contributorId":260720,"corporation":false,"usgs":false,"family":"Huertas","given":"Evelyn","email":"","affiliations":[{"id":52656,"text":"US EPA, Caribbean Environmental Protection Division, Guaynabo, PR","active":true,"usgs":false}],"preferred":false,"id":818549,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Loffredo, Joseph","contributorId":260721,"corporation":false,"usgs":false,"family":"Loffredo","given":"Joseph","email":"","affiliations":[{"id":52652,"text":"US EPA, Atlantic Coastal Environmental Sciences Division, Narragansett, RI","active":true,"usgs":false}],"preferred":false,"id":818550,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Watson, Elizabeth","contributorId":260722,"corporation":false,"usgs":false,"family":"Watson","given":"Elizabeth","affiliations":[{"id":52657,"text":"Department of Biodiversity, Earth & Environmental Sciences and The Academy of Natural Sciences, Drexel University, 1900 Benjamin Franklin Pkwy, Philadelphia, PA,","active":true,"usgs":false}],"preferred":false,"id":818551,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70221293,"text":"70221293 - 2021 - Direct and size-mediated effects of temperature and ration-dependent growth rates on energy reserves in juvenile anadromous alewives (Alosa pseudoharengus)","interactions":[],"lastModifiedDate":"2021-10-18T14:04:00.020978","indexId":"70221293","displayToPublicDate":"2021-06-07T07:27:35","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2285,"text":"Journal of Fish Biology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Direct and size-mediated effects of temperature and ration-dependent growth rates on energy reserves in juvenile anadromous alewives (Alosa pseudoharengus)","title":"Direct and size-mediated effects of temperature and ration-dependent growth rates on energy reserves in juvenile anadromous alewives (Alosa pseudoharengus)","docAbstract":"

Growth rate and energy reserves are important determinants of fitness and are governed by endogenous and exogenous factors. Thus, examining the influence of individual and multiple stressors on growth and energy reserves can help estimate population health under current and future conditions. In young anadromous fishes, freshwater habitat quality determines physiological state and fitness of juveniles emigrating to marine habitats. We tested how temperature and food availability affect survival, growth, and energy reserves in juvenile anadromous alewives (Alosa pseudoharengus), a forage fish distributed along the eastern North American continent. Field-collected juvenile anadromous A. pseudoharengus were exposed for 21 days to one of two temperatures (21°C and 25°C) and one of two levels of food rations (1% or 2% tank biomass daily) and compared for differences in final size, fat mass-at-length, lean mass-at-length, and energy density. Increased temperature and reduced ration both led to lower growth rates and the effect of reduced ration was greater at higher temperature. Fat mass-at-length decreased with dry mass and energy density increased with total length, suggesting size-based endogenous influences on energy reserves. Lower ration also directly decreased fat mass-at-length, lean mass-at-length and energy density. Given the fitness implications of size and energy reserves, temperature and food availability should be considered important indicators of nursery habitat quality and incorporated in A. pseudoharengus life history models to improve forecasting of population health under climate change.

","language":"English","publisher":"Wiley","doi":"10.1111/jfb.14824","usgsCitation":"Guo, L., McCormick, S.D., Schultz, E., and Jordaan, A., 2021, Direct and size-mediated effects of temperature and ration-dependent growth rates on energy reserves in juvenile anadromous alewives (Alosa pseudoharengus): Journal of Fish Biology, v. 99, no. 4, p. 1236-1246, https://doi.org/10.1111/jfb.14824.","productDescription":"11 p.","startPage":"1236","endPage":"1246","ipdsId":"IP-125451","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":386341,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"99","issue":"4","noUsgsAuthors":false,"publicationDate":"2021-06-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Guo, Liang 0000-0001-5454-6330","orcid":"https://orcid.org/0000-0001-5454-6330","contributorId":210404,"corporation":false,"usgs":false,"family":"Guo","given":"Liang","email":"","affiliations":[],"preferred":false,"id":817253,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCormick, Stephen D. 0000-0003-0621-6200 smccormick@usgs.gov","orcid":"https://orcid.org/0000-0003-0621-6200","contributorId":139214,"corporation":false,"usgs":true,"family":"McCormick","given":"Stephen","email":"smccormick@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":817254,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schultz, Eric T.","contributorId":260102,"corporation":false,"usgs":false,"family":"Schultz","given":"Eric T.","affiliations":[],"preferred":false,"id":817255,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jordaan, Adrian","contributorId":257709,"corporation":false,"usgs":false,"family":"Jordaan","given":"Adrian","affiliations":[{"id":37201,"text":"UMass Amherst","active":true,"usgs":false}],"preferred":false,"id":817256,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70222615,"text":"70222615 - 2021 - NGA-East ground-motion characterization model Part II: Implementation and hazard implications","interactions":[],"lastModifiedDate":"2021-08-09T13:14:26.676694","indexId":"70222615","displayToPublicDate":"2021-06-06T08:11:42","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1436,"text":"Earthquake Spectra","active":true,"publicationSubtype":{"id":10}},"title":"NGA-East ground-motion characterization model Part II: Implementation and hazard implications","docAbstract":"

As a companion article to Goulet et al., we describe implementation of the NGA-East ground motion characterization (GMC) model in probabilistic seismic hazard analysis (PSHA) for sites in the Central and Eastern United States (CEUS). We present extensions to the EPRI/DOE/NRC seismic source characterization (SSC) model for the CEUS needed for full implementation of NGA-East. Comparisons are presented to the EPRI GMC, the currently accepted model by the U.S. Nuclear Regulatory Commission for hazard assessment at nuclear facilities. Comparisons are presented both in terms of GMC model components and in the resulting seismic hazard assessments for a range of site locations in the CEUS. Illustrations of the effect of various components of the NGA-East GMC on seismic hazard results are also presented. Finally, we present recommendations for application of the NGA-East GMC in PSHA.

","language":"English","publisher":"Earthquake Engineering Research Institute (EERI)","doi":"10.1177/87552930211007503","usgsCitation":"Youngs, R., Goulet, C.A., Bozorgnia, Y., Kuehn, N., Al Atik, L., Graves, R., and Atkinson, G.M., 2021, NGA-East ground-motion characterization model Part II: Implementation and hazard implications: Earthquake Spectra, v. 37, no. 1, p. 1283-1330, https://doi.org/10.1177/87552930211007503.","productDescription":"48 p.","startPage":"1283","endPage":"1330","ipdsId":"IP-124999","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":387773,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -108.6328125,\n 31.57853542647338\n ],\n [\n -105.205078125,\n 29.458731185355344\n ],\n [\n -102.919921875,\n 29.152161283318915\n ],\n [\n -97.646484375,\n 25.48295117535531\n ],\n [\n -93.779296875,\n 26.27371402440643\n ],\n [\n -81.298828125,\n 24.367113562651262\n ],\n [\n -77.34374999999999,\n 27.371767300523047\n ],\n [\n -72.24609375,\n 33.94335994657882\n ],\n [\n -57.65624999999999,\n 45.089035564831036\n ],\n [\n -61.787109375,\n 51.23440735163459\n ],\n [\n -71.630859375,\n 50.401515322782366\n ],\n [\n -75.9375,\n 47.635783590864854\n ],\n [\n -86.1328125,\n 50.28933925329178\n ],\n [\n -100.283203125,\n 52.696361078274485\n ],\n [\n -108.896484375,\n 51.83577752045248\n ],\n [\n -108.720703125,\n 48.86471476180277\n ],\n [\n -109.3359375,\n 40.44694705960048\n ],\n [\n -108.6328125,\n 31.57853542647338\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"37","issue":"1","noUsgsAuthors":false,"publicationDate":"2021-06-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Youngs, Robert","contributorId":140544,"corporation":false,"usgs":false,"family":"Youngs","given":"Robert","affiliations":[],"preferred":false,"id":820761,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goulet, Christine A. 0000-0002-7643-357X","orcid":"https://orcid.org/0000-0002-7643-357X","contributorId":194805,"corporation":false,"usgs":false,"family":"Goulet","given":"Christine","email":"","middleInitial":"A.","affiliations":[{"id":13249,"text":"University of Southern California","active":true,"usgs":false}],"preferred":false,"id":820762,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bozorgnia, Yousef","contributorId":40101,"corporation":false,"usgs":false,"family":"Bozorgnia","given":"Yousef","affiliations":[{"id":6643,"text":"University of California - Berkeley","active":true,"usgs":false}],"preferred":false,"id":820763,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kuehn, Nicolas","contributorId":229633,"corporation":false,"usgs":false,"family":"Kuehn","given":"Nicolas","email":"","affiliations":[{"id":6772,"text":"UC Los Angeles","active":true,"usgs":false}],"preferred":false,"id":820764,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Al Atik, Linda","contributorId":140526,"corporation":false,"usgs":false,"family":"Al Atik","given":"Linda","email":"","affiliations":[],"preferred":false,"id":820765,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Graves, Robert 0000-0001-9758-453X rwgraves@usgs.gov","orcid":"https://orcid.org/0000-0001-9758-453X","contributorId":140738,"corporation":false,"usgs":true,"family":"Graves","given":"Robert","email":"rwgraves@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":820766,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Atkinson, Gail M.","contributorId":60515,"corporation":false,"usgs":false,"family":"Atkinson","given":"Gail","email":"","middleInitial":"M.","affiliations":[{"id":13255,"text":"University of Western Ontario","active":true,"usgs":false}],"preferred":false,"id":820767,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70221475,"text":"70221475 - 2021 - Relative risk of groundwater-quality degradation near California (USA) oil fields estimated from 3H, 14C, and 4He","interactions":[],"lastModifiedDate":"2021-06-17T11:56:09.830879","indexId":"70221475","displayToPublicDate":"2021-06-05T06:52:07","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Relative risk of groundwater-quality degradation near California (USA) oil fields estimated from 3H, 14C, and 4He","docAbstract":"

Relative risks of groundwater-quality degradation near selected California oil fields are estimated by examining spatial and temporal patterns in chemical and isotopic data in the context of groundwater-age categories defined by tritium and carbon-14. In the Coastal basins, western San Joaquin Valley (SJV), and eastern SJV; 82, 76, and 0% of samples are premodern (pre-1953 recharge), respectively; and 3, 0, and 31% are modern (recharged during or after 1953), respectively. Carbon-14 and helium-4 data indicate most premodern samples are 1000 to 10,000 (33%) or >10,000 (50%) years old. Organic chemicals that could be associated with deeper hydrocarbon reservoirs (e.g. thermogenic gases and benzene) occur most frequently in premodern groundwater, suggesting premodern groundwater has a higher risk of degradation from upward migration of hydrocarbons than modern and mixed-age groundwater. Low sulfate concentrations in some premodern groundwater containing high thermogenic-methane concentrations (>28 mg/L) indicate methane attenuation associated with sulfate reduction can be limited in premodern groundwater. The more common occurrence of manufactured compounds, like tetrachloroethene, in modern and mixed-age groundwater than in premodern groundwater indicates modern and mixed-age groundwater has a higher risk of degradation from land-surface sources than premodern groundwater. Time-series data for chloride in groundwater affected by disposal of oil-field water in unlined ponds indicate some modern and mixed-age groundwater are susceptible to chemical migration within 2–3 km of surface sources. Timescales for diluting chloride concentrations in groundwater with fresh recharge once disposal ponds are decommissioned are shorter in mixed-age groundwater with large fractions of modern water (9–14 years in one example) than in mixed-age groundwater with large fractions of premodern water (no evidence of dilution after 12 years of monitoring in one example). The presence of predominantly premodern groundwater in the Coastal basins and western SJV indicates these areas have relatively high risk from upward migration of hydrocarbons, reduced methane attenuation capacity, and long dilution times, whereas predominantly modern- and mixed-age groundwater in the eastern SJV indicates this area has relatively high risk from chemical migration from land-surface sources and subsequent extensive spreading. Age-based characterizations of relative risk could inform the design of groundwater-monitoring programs near oil fields in terms of the spatial distribution of monitoring points relative to source areas and monitoring frequency and duration.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2021.105024","usgsCitation":"McMahon, P.B., Landon, M.K., Davis, T., Wright, M., Rosecrans, C.Z., Anders, R., Land, M., Kulongoski, J.T., and Hunt, A., 2021, Relative risk of groundwater-quality degradation near California (USA) oil fields estimated from 3H, 14C, and 4He: Applied Geochemistry, v. 131, 105024, 15 p., https://doi.org/10.1016/j.apgeochem.2021.105024.","productDescription":"105024, 15 p.","ipdsId":"IP-120473","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":452009,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.apgeochem.2021.105024","text":"Publisher Index Page"},{"id":386566,"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 -120.95947265624999,\n 33.96158628979907\n ],\n [\n -117.99316406249999,\n 33.96158628979907\n ],\n [\n -117.99316406249999,\n 35.30840140169162\n ],\n [\n -120.95947265624999,\n 35.30840140169162\n ],\n [\n -120.95947265624999,\n 33.96158628979907\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"131","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"McMahon, Peter B. 0000-0001-7452-2379 pmcmahon@usgs.gov","orcid":"https://orcid.org/0000-0001-7452-2379","contributorId":724,"corporation":false,"usgs":true,"family":"McMahon","given":"Peter","email":"pmcmahon@usgs.gov","middleInitial":"B.","affiliations":[{"id":191,"text":"Colorado Water Science 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randers@usgs.gov","orcid":"https://orcid.org/0000-0002-2363-9072","contributorId":1210,"corporation":false,"usgs":true,"family":"Anders","given":"Robert","email":"randers@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":817790,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Land, Michael 0000-0001-5141-0307 mtland@usgs.gov","orcid":"https://orcid.org/0000-0001-5141-0307","contributorId":171938,"corporation":false,"usgs":true,"family":"Land","given":"Michael","email":"mtland@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":817791,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kulongoski, Justin T. 0000-0002-3498-4154 kulongos@usgs.gov","orcid":"https://orcid.org/0000-0002-3498-4154","contributorId":173457,"corporation":false,"usgs":true,"family":"Kulongoski","given":"Justin","email":"kulongos@usgs.gov","middleInitial":"T.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":817792,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hunt, Andrew G. 0000-0002-3810-8610","orcid":"https://orcid.org/0000-0002-3810-8610","contributorId":206197,"corporation":false,"usgs":true,"family":"Hunt","given":"Andrew G.","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":817793,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70254573,"text":"70254573 - 2021 - Effects of climate and irrigation on GRACE-based estimates of water storage changes in major US aquifers","interactions":[],"lastModifiedDate":"2024-06-03T11:50:37.905478","indexId":"70254573","displayToPublicDate":"2021-06-03T06:45:57","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Effects of climate and irrigation on GRACE-based estimates of water storage changes in major US aquifers","docAbstract":"

Understanding climate and human impacts on water storage is critical for sustainable water-resources management. Here we assessed climate and human drivers of total water storage (TWS) variability from Gravity Recovery and Climate Experiment (GRACE) satellites compared with drought severity and irrigation water use in 14 major aquifers in the United States. Results show that long-term variability in TWS tracked by GRACE satellites is dominated by interannual variability in most of the 14 major US aquifers. Low TWS trends in the humid eastern U.S. are linked to low drought intensity. Although irrigation pumpage in the humid Mississippi Embayment aquifer exceeded that in the semi-arid California Central Valley, a surprising lack of TWS depletion in the Mississippi Embayment aquifer is attributed to extensive streamflow capture. Marked storage depletion in the semi-arid southwestern Central Valley and south-central High Plains totaled ∼90 km3, about three times greater than the capacity of Lake Mead, the largest U.S. reservoir. Depletion in the Central Valley was driven by long-term droughts (⩽5 yr) amplified by switching from mostly surface water to groundwater irrigation. Low or slightly rising TWS trends in the northwestern (Columbia and Snake Basins) US are attributed to dampening drought impacts by mostly surface water irrigation. GRACE satellite data highlight synergies between climate and irrigation, resulting in little impact on TWS in the humid east, amplified TWS depletion in the semi-arid southwest and southcentral US, and dampened TWS deletion in the northwest and north central US Sustainable groundwater management benefits from conjunctive use of surface water and groundwater, inefficient surface water irrigation promoting groundwater recharge, efficient groundwater irrigation minimizing depletion, and increasing managed aquifer recharge. This study has important implications for sustainable water development in many regions globally.

","language":"English","publisher":"IOPScience","doi":"10.1088/1748-9326/ac16ff","usgsCitation":"Scanlon, B.R., Rateb, A., Pool, D., Sanford, W.E., Save, H., Sun, A.Y., Long, D., and Fuchs, B., 2021, Effects of climate and irrigation on GRACE-based estimates of water storage changes in major US aquifers: Environmental Research Letters, v. 16, no. 9, 094009, 14 p., https://doi.org/10.1088/1748-9326/ac16ff.","productDescription":"094009, 14 p.","ipdsId":"IP-130369","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":452025,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/ac16ff","text":"Publisher Index Page"},{"id":429443,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n 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Pickle Research Campus, Bldg. 130, 10100 Burnet Rd., Austin, TX 78758-4445","active":true,"usgs":false}],"preferred":false,"id":901930,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rateb, Ahsraf 0000-0002-8875-1508","orcid":"https://orcid.org/0000-0002-8875-1508","contributorId":337082,"corporation":false,"usgs":false,"family":"Rateb","given":"Ahsraf","affiliations":[{"id":80965,"text":"Bureau of Economic Geology, University of Texas","active":true,"usgs":false}],"preferred":false,"id":901931,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pool, Donald R. 0001-1234-4321-0505","orcid":"https://orcid.org/0001-1234-4321-0505","contributorId":337083,"corporation":false,"usgs":false,"family":"Pool","given":"Donald R.","affiliations":[{"id":80967,"text":"Retired USGS, Arizona Water Science Center","active":true,"usgs":false}],"preferred":false,"id":901932,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sanford, Ward E. 0000-0002-6624-0280 wsanford@usgs.gov","orcid":"https://orcid.org/0000-0002-6624-0280","contributorId":337084,"corporation":false,"usgs":true,"family":"Sanford","given":"Ward","email":"wsanford@usgs.gov","middleInitial":"E.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":901933,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Save, Himanshu","contributorId":187510,"corporation":false,"usgs":false,"family":"Save","given":"Himanshu","email":"","affiliations":[],"preferred":false,"id":902001,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sun, Alexander Y. 0000-0002-6365-8526","orcid":"https://orcid.org/0000-0002-6365-8526","contributorId":302987,"corporation":false,"usgs":false,"family":"Sun","given":"Alexander","email":"","middleInitial":"Y.","affiliations":[{"id":12430,"text":"University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":902002,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Long, Di","contributorId":187511,"corporation":false,"usgs":false,"family":"Long","given":"Di","email":"","affiliations":[],"preferred":false,"id":902003,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fuchs, Brian","contributorId":192359,"corporation":false,"usgs":false,"family":"Fuchs","given":"Brian","email":"","affiliations":[],"preferred":false,"id":902004,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70224608,"text":"70224608 - 2021 - The liquefaction record of past earthquakes in the Central Virginia Seismic Zone, Eastern United States","interactions":[],"lastModifiedDate":"2021-09-30T11:36:07.957997","indexId":"70224608","displayToPublicDate":"2021-06-02T06:33:43","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"The liquefaction record of past earthquakes in the Central Virginia Seismic Zone, Eastern United States","docAbstract":"

Following the 2011 moment magnitude, M\">MM 5.7 Mineral, Virginia, earthquake, we conducted a search for paleoliquefaction features and found 41 sand dikes, sand sills, and soft‐sediment deformation features at 24 sites exposed in cutbanks along several rivers: (1) the South Anna River, where paleoliquefaction features were found in the epicentral area of the Mineral earthquake and farther downstream to the southeast; (2) the Mattaponi and Pamunkey Rivers east of the Fall Line, where liquefiable sediments are more common than in the epicentral area; and (3) the James River and Rivanna River–Stigger Creek, where a few sand dikes were found in the 1990s. Liquefaction features are grouped into two age categories based on dating of host sediment in which they occur and weathering characteristics of the features. A younger generation of features that formed during the past 350 yr are small, few in number, and appear to be limited to the James and Pamunkey Rivers. Though there are large uncertainties in their locations and magnitudes, one or more preinstrumental earthquakes, including the 1758, 1774, and 1875 events, likely caused these features. An older generation of liquefaction features that formed between 350 and 2800 yr ago are larger, more numerous, and more broadly distributed than the younger generation of features. Several earthquakes could account for the regional distribution of paleoliquefaction features, including one event of M\">MM 6.25–6.5 near Holly Grove, or two events of M\">MM 6.0 near Mineral and M\">MM 6.25 near Ashland. Amplification of ground motions in Coastal Plain sediment might have contributed to liquefaction along the Mattaponi and Pamunkey Rivers.

","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220200456","usgsCitation":"Tuttle, M.P., Dyer-Williams, K., Carter, M.W., Forman, S.L., Tucker, K., Fuentes, Z., Velez, C., and Bauer, L., 2021, The liquefaction record of past earthquakes in the Central Virginia Seismic Zone, Eastern United States: Seismological Research Letters, v. 92, no. 5, p. 3126-3144, https://doi.org/10.1785/0220200456.","productDescription":"19 p.","startPage":"3126","endPage":"3144","ipdsId":"IP-123694","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":390021,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"92","issue":"5","noUsgsAuthors":false,"publicationDate":"2021-06-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Tuttle, Martitia P.","contributorId":139388,"corporation":false,"usgs":false,"family":"Tuttle","given":"Martitia","email":"","middleInitial":"P.","affiliations":[{"id":12760,"text":"Tuttle and Associates","active":true,"usgs":false}],"preferred":false,"id":824251,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dyer-Williams, Kathleen","contributorId":266054,"corporation":false,"usgs":false,"family":"Dyer-Williams","given":"Kathleen","email":"","affiliations":[{"id":54871,"text":"VanLeen and Associates","active":true,"usgs":false}],"preferred":false,"id":824252,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carter, Mark W. 0000-0003-0460-7638 mcarter@usgs.gov","orcid":"https://orcid.org/0000-0003-0460-7638","contributorId":4808,"corporation":false,"usgs":true,"family":"Carter","given":"Mark","email":"mcarter@usgs.gov","middleInitial":"W.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":824253,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Forman, Steven L. 0000-0002-1385-9194","orcid":"https://orcid.org/0000-0002-1385-9194","contributorId":197758,"corporation":false,"usgs":false,"family":"Forman","given":"Steven","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":824254,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tucker, Kathleen","contributorId":194863,"corporation":false,"usgs":false,"family":"Tucker","given":"Kathleen","email":"","affiliations":[],"preferred":false,"id":824255,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fuentes, Zamara","contributorId":195074,"corporation":false,"usgs":false,"family":"Fuentes","given":"Zamara","email":"","affiliations":[],"preferred":false,"id":824256,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Velez, Carlos","contributorId":266055,"corporation":false,"usgs":false,"family":"Velez","given":"Carlos","email":"","affiliations":[{"id":13136,"text":"M. Tuttle & Associates","active":true,"usgs":false}],"preferred":false,"id":824257,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bauer, Laurel","contributorId":266056,"corporation":false,"usgs":false,"family":"Bauer","given":"Laurel","email":"","affiliations":[{"id":54872,"text":"Office of Nuclear Reactor Regulation, U.S. Nuclear Regulatory Commission","active":true,"usgs":false}],"preferred":false,"id":824258,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70221082,"text":"sir20215037 - 2021 - Sediment concentrations and loads upstream from and through John Redmond Reservoir, east-central Kansas, 2010–19","interactions":[],"lastModifiedDate":"2021-06-02T13:05:23.095316","indexId":"sir20215037","displayToPublicDate":"2021-06-02T06:12:32","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2021-5037","displayTitle":"Sediment Concentrations and Loads Upstream from and through John Redmond Reservoir, East-Central Kansas, 2010–19","title":"Sediment concentrations and loads upstream from and through John Redmond Reservoir, east-central Kansas, 2010–19","docAbstract":"

Streambank erosion and reservoir sedimentation are primary concerns of resource managers in Kansas and throughout many regions of the United States and negatively affect flood control, water supply, and recreation. The Cottonwood and upper Neosho Rivers drain into John Redmond Reservoir, and since reservoir completion in 1964, there has been substantial conservation-pool sedimentation and storage loss in John Redmond Reservoir, causing storage capacity losses more rapidly than most other Federal reservoirs in Kansas. The U.S. Geological Survey (USGS), in cooperation with the Kansas Water Office, has monitored water quality (temperature, specific conductance, and turbidity) on the Cottonwood River (upstream from the reservoir) and Neosho River (upstream and downstream from the reservoir) since 2007 with additional sites added in 2009. The purpose of this report is to quantify suspended-sediment concentrations, loads, and yields entering and exiting John Redmond Reservoir during January 1, 2010, through December 31, 2019.

Three water-quality monitoring sites were upstream from the reservoir (Cottonwood River near Plymouth, Kansas [USGS site 07182250; hereinafter referred to as “Cottonwood”]; Neosho River at Burlingame Road near Emporia, Kans. [USGS site 07179750; hereinafter referred to as “Burlingame”]; and Neosho River at Neosho Rapids, Kans. [USGS site 07182390; hereinafter referred to as “Neosho Rapids”]), and one water-quality monitoring site was downstream from the reservoir (Neosho River at Burlington, Kans. [USGS site 07182510; hereinafter referred to as “Burlington”]). The Neosho Rapids streamgage is downstream from the confluence of the Cottonwood and upper Neosho Rivers and has a contributing drainage area accounting for 91 percent of the total contributing drainage area to John Redmond Reservoir.

Continuously measured streamflow, water quality, and discrete water-quality data were used to develop updated regression models to compute suspended-sediment concentrations, loads, and yields upstream and downstream from John Redmond Reservoir in east-central Kansas. Several turbidity sensors were deployed during the analysis period, and there are no established relations between the sensors; therefore, individual models for each sensor were developed. Model statistics for the turbidity and suspended-sediment concentration linear regression models were better (based on the coefficient of determination, root mean square error, and model standard percentage error) than the streamflow and suspended-sediment concentration linear regression models, indicating better model performance. Computed concentrations, loads, and yields do not account for the ungaged 9 percent of the drainage basin downstream from the Neosho Rapids streamgage.

Mean daily suspended-sediment loads upstream from the reservoir were largest at Neosho Rapids (2,250 tons), second largest at Cottonwood (2,180 tons), and smallest at Burlingame (624 tons). Streamflow at Burlington was predominately regulated by reservoir releases, and mean daily suspended-sediment loads were smaller (286 tons) than at upstream sites. Among the upstream sites, Cottonwood had the largest mean daily suspended-sediment concentration (179 milligrams per liter [mg/L]), followed by Neosho Rapids (162 mg/L), and Burlingame (108 mg/L). Burlington had the smallest mean daily suspended-sediment concentration of all sites (46 mg/L).

Annual reservoir trapping efficiency ranged from 82 to 94 percent, and the largest sediment mass trapped was during 2019 (2,230,000 tons). Reservoir storage decreased an estimated 7,750 acre-feet during 2010 and 2014–19. Using the mean trapping efficiency to estimate suspended-sediment loads during years with missing data (2011–13), the total estimated reservoir storage lost to sedimentation for the analysis period (2010–19) was 8,690 acre-feet, about 17 percent of the remaining storage space reported in 2007. The mean annual sedimentation rate during the analysis period (747 acre-feet per year) was about 85 percent larger than the design sedimentation rate (404 acre-feet per year) originally projected during construction. Different reservoir outflow management strategies, including operating near normal capacity as opposed to higher flood pool levels, could reduce the total reservoir storage lost by 3 percent (about 261 acre-feet), which is equal to 14 percent of the total sediment removed during the dredging operation in 2016.

During the study period, about 56 percent of the total suspended-sediment load was transported during streamflows greater than the National Weather Service flood action stage at the upstream sites (0.1–5 percent of the record; Cottonwood mean: 48 percent; Burlingame mean: 40 percent; Neosho Rapids mean: 78 percent). Disproportionately large sediment loads were delivered during short periods of time, and localized efforts of stream erosion protection (streambank stabilization, riparian buffers) were likely to be overwhelmed. Precipitation frequency and intensity are projected to continue to increase in this region; therefore, future sediment reduction strategies that account for extreme episodic events may be beneficial. Changes to reservoir outflow management could also minimize sediment accumulation while still preserving flood control. Continued investigation of sediment reduction measures is necessary for future mitigation with the understanding that sedimentation rate is largely driven by high flows. Results from this study can be used to calibrate sediment models, explore sediment reduction strategies, highlight the importance of continued water-quality monitoring to determine effectiveness and changes in sediment transport, and assess the ability of John Redmond Reservoir to support designated uses into the future.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20215037","collaboration":"Prepared in cooperation with the Kansas Water Office","usgsCitation":"Kramer, A.R., Peterman-Phipps, C.L., Mahoney, M.D., and Lukasz, B.S., 2021, Sediment concentrations and loads upstream from and through John Redmond Reservoir, east-central Kansas, 2010–19: U.S. Geological Survey Scientific Investigations Report 2021–5037, 49 p., https://doi.org/10.3133/sir20215037.","productDescription":"Report: ix, 50 p; Appendixes: 12; Dataset","numberOfPages":"64","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-119997","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":386084,"rank":11,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2021/5037/sir20215037_appendix09.pdf","text":"Appendix 9","size":"457 kB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021–5037 Appendix 9","linkHelpText":"— Model Archive Summary for Suspended-Sediment Concentration at U.S. Geological Survey Site 07182250, Cottonwood River near Plymouth, Kansas, during January 1, 2010, through December 31, 2019"},{"id":386074,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2021/5037/coverthb.jpg"},{"id":386075,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2021/5037/sir20215037.pdf","text":"Report","size":"3.50 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021–5037"},{"id":386076,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2021/5037/sir20215037_appendix01.pdf","text":"Appendix 1","size":"408 kB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021–5037 Appendix 1","linkHelpText":"— Model Archive Summary for Suspended-Sediment Concentration at U.S. Geological Survey Site 07182250, Cottonwood River near Plymouth, Kansas, during January 1, 2010, through April 22, 2015"},{"id":386078,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2021/5037/sir20215037_appendix03.pdf","text":"Appendix 3","size":"432 kB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021–5037 Appendix 3","linkHelpText":"— Model Archive Summary for Suspended-Sediment Concentration at U.S. Geological Survey Site 07182390, Neosho River at Neosho Rapids, Kansas, during January 1, 2010, through September 24, 2015"},{"id":386079,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2021/5037/sir20215037_appendix04.pdf","text":"Appendix 4","size":"455 kB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021–5037 Appendix 4","linkHelpText":"— Model Archive Summary for Suspended-Sediment Concentration at U.S. Geological Survey Site 07182510, Neosho River at Burlington, Kansas, during January 1, 2010, through October 16, 2015"},{"id":386088,"rank":15,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"U.S. Geological Survey National Water Information System database","linkHelpText":"— USGS water data for the Nation"},{"id":386087,"rank":14,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2021/5037/sir20215037_appendix12.pdf","text":"Appendix 12","size":"451 kB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021–5037 Appendix 12","linkHelpText":"— Model Archive Summary for Suspended-Sediment Concentration at U.S. Geological Survey Site 07182510, Neosho River at Burlington, Kansas, during January 1, 2010, through December 31, 2019"},{"id":386086,"rank":13,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2021/5037/sir20215037_appendix11.pdf","text":"Appendix 11","size":"449 kB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021–5037 Appendix 11","linkHelpText":"— Model Archive Summary for Suspended-Sediment Concentration at U.S. Geological Survey Site 07182390, Neosho River at Neosho Rapids, Kansas, during January 1, 2010, through December 31, 2019"},{"id":386083,"rank":10,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2021/5037/sir20215037_appendix08.pdf","text":"Appendix 8","size":"427 kB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021–5037 Appendix 8","linkHelpText":"— Model Archive Summary for Suspended-Sediment Concentration at U.S. Geological Survey Site 07182510, Neosho River at Burlington, Kansas, during October 23, 2015, through December 31, 2019"},{"id":386082,"rank":9,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2021/5037/sir20215037_appendix07.pdf","text":"Appendix 7","size":"391 kB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021–5037 Appendix 7","linkHelpText":"— Model Archive Summary for Suspended-Sediment Concentration at U.S. Geological Survey Site 07182390, Neosho River at Neosho Rapids, Kansas, during November 13, 2015, through December 31, 2019"},{"id":386085,"rank":12,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2021/5037/sir20215037_appendix10.pdf","text":"Appendix 10","size":"418 kB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021–5037 Appendix 10","linkHelpText":"— Model Archive Summary for Suspended-Sediment Concentration at U.S. Geological Survey Site 07179750, Neosho River at Burlingame Road near Emporia, Kansas, during January 1, 2010, through December 31, 2019"},{"id":386080,"rank":7,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2021/5037/sir20215037_appendix05.pdf","text":"Appendix 5","size":"376 kB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021–5037 Appendix 5","linkHelpText":"— Model Archive Summary for Suspended-Sediment Concentration at U.S. Geological Survey Site 07182250, Cottonwood River near Plymouth, Kansas, during April 22, 2015, through December 31, 2019"},{"id":386081,"rank":8,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2021/5037/sir20215037_appendix06.pdf","text":"Appendix 6","size":"399 kB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021–5037 Appendix 6","linkHelpText":"— Model Archive Summary for Suspended-Sediment Concentration at U.S. Geological Survey Site 07179750, Neosho River at Burlingame Road near Emporia, Kansas, during May 2, 2015, through December 31, 2019"},{"id":386077,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2021/5037/sir20215037_appendix02.pdf","text":"Appendix 2","size":"414 kB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021–5037 Appendix 2","linkHelpText":"— Model Archive Summary for Suspended-Sediment Concentration at U.S. Geological Survey Site 07179750, Neosho River at Burlingame Road near Emporia, Kansas, during January 1, 2010, through December 16, 2012"}],"country":"United States","state":"Kansas","otherGeospatial":"John Redmond Reservoir","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -97.52838134765624,\n 38.01131226070673\n ],\n [\n -95.49041748046875,\n 38.01131226070673\n ],\n [\n -95.49041748046875,\n 39.27266344858914\n ],\n [\n -97.52838134765624,\n 39.27266344858914\n ],\n [\n -97.52838134765624,\n 38.01131226070673\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Kansas Water Science Center
U.S. Geological Survey
1217 Biltmore Drive
Lawrence, KS 66049

","tableOfContents":"","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2021-06-02","noUsgsAuthors":false,"publicationDate":"2021-06-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Kramer, Ariele R. 0000-0002-7075-3310 akramer@usgs.gov","orcid":"https://orcid.org/0000-0002-7075-3310","contributorId":185245,"corporation":false,"usgs":true,"family":"Kramer","given":"Ariele","email":"akramer@usgs.gov","middleInitial":"R.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":816715,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peterman-Phipps, Cara L. 0000-0003-1822-2552","orcid":"https://orcid.org/0000-0003-1822-2552","contributorId":259166,"corporation":false,"usgs":true,"family":"Peterman-Phipps","given":"Cara","email":"","middleInitial":"L.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":816716,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mahoney, Matthew D. 0000-0002-9008-7132","orcid":"https://orcid.org/0000-0002-9008-7132","contributorId":206054,"corporation":false,"usgs":true,"family":"Mahoney","given":"Matthew","email":"","middleInitial":"D.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":816717,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lukasz, Bradley S. 0000-0001-5438-5901","orcid":"https://orcid.org/0000-0001-5438-5901","contributorId":225021,"corporation":false,"usgs":true,"family":"Lukasz","given":"Bradley","email":"","middleInitial":"S.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":816718,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70221885,"text":"70221885 - 2021 - Multivariate classification of the crude oil petroleum systems in southeast Texas, USA, using conventional and compositional data analysis of biomarkers","interactions":[],"lastModifiedDate":"2021-07-13T18:57:42.166406","indexId":"70221885","displayToPublicDate":"2021-06-01T13:53:23","publicationYear":"2021","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Multivariate classification of the crude oil petroleum systems in southeast Texas, USA, using conventional and compositional data analysis of biomarkers","docAbstract":"

Chemically, petroleum is an extraordinarily complex mixture of different types of hydrocarbons that are now possible to isolate and identify because of advances in geochemistry. Here, we use biomarkers and carbon isotopes to establish genetic differences and similarities among oil samples. Conventional approaches for evaluating biomarker and carbon isotope relative abundances include statistical techniques such as principal component and cluster analysis. Considering that proportions of the different hydrocarbon molecules are relative parts of a laboratory sample, the data are compositional in nature, thus requiring the use of log-ratio approaches for adequate mathematical modeling. We apply both traditional and compositional modeling approaches to crude oil samples from an onshore area of about 50,000 square miles in southeast Texas. The data comprise 177 crude oil samples from producing oil fields that include key biomarkers, elemental, and isotopic values commonly used in source rock correlation studies. Our results indicate that compositional modeling has higher discriminating power and lower uncertainty than the traditional approach, allowing the identification of up to 16 clusters. Each cluster represents one oil family from a source rock organofacies ranging from Carboniferous to Paleogene. The families provide new insights into important petroleum systems in the Texas onshore region of the Gulf of Mexico sedimentary basin.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Advances in compositional data analysis—Festschrift in honor of Vera-Pawlowsky-Glahn","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-030-71175-7_16","usgsCitation":"Olea, R., Martin-Fernandez, J.A., and Craddock, W.H., 2021, Multivariate classification of the crude oil petroleum systems in southeast Texas, USA, using conventional and compositional data analysis of biomarkers, chap. of Advances in compositional data analysis—Festschrift in honor of Vera-Pawlowsky-Glahn, p. 303-307, https://doi.org/10.1007/978-3-030-71175-7_16.","productDescription":"5 p.","startPage":"303","endPage":"307","ipdsId":"IP-112995","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":387163,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -97.119140625,\n 25.97779895546436\n ],\n [\n -96.767578125,\n 27.68352808378776\n ],\n [\n -95.11962890625,\n 28.497660832963472\n ],\n [\n -93.8232421875,\n 29.49698759653577\n ],\n [\n -93.97705078125,\n 30.20211367909724\n ],\n [\n -95.55908203125,\n 30.240086360983426\n ],\n [\n -97.3388671875,\n 28.9600886880068\n ],\n [\n -98.23974609375,\n 27.586197857692664\n ],\n [\n -97.91015624999999,\n 26.13571361317392\n ],\n [\n -97.119140625,\n 25.97779895546436\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2021-06-02","publicationStatus":"PW","contributors":{"editors":[{"text":"Fitzmoser, Peter","contributorId":261055,"corporation":false,"usgs":false,"family":"Fitzmoser","given":"Peter","email":"","affiliations":[],"preferred":false,"id":819247,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Hron, Karel","contributorId":261056,"corporation":false,"usgs":false,"family":"Hron","given":"Karel","email":"","affiliations":[],"preferred":false,"id":819248,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Martin-Fernandez, Josep Antoni","contributorId":208528,"corporation":false,"usgs":false,"family":"Martin-Fernandez","given":" Josep Antoni","affiliations":[],"preferred":false,"id":819249,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Palarea-Albaladejo, Javier","contributorId":120518,"corporation":false,"usgs":true,"family":"Palarea-Albaladejo","given":"Javier","email":"","affiliations":[],"preferred":false,"id":819250,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"Olea, Ricardo A. 0000-0003-4308-0808","orcid":"https://orcid.org/0000-0003-4308-0808","contributorId":224285,"corporation":false,"usgs":true,"family":"Olea","given":"Ricardo A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":819213,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martin-Fernandez, J. A 0000-0003-2366-1592","orcid":"https://orcid.org/0000-0003-2366-1592","contributorId":260957,"corporation":false,"usgs":false,"family":"Martin-Fernandez","given":"J.","email":"","middleInitial":"A","affiliations":[{"id":28183,"text":"University of Girona","active":true,"usgs":false}],"preferred":false,"id":819214,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Craddock, William H. 0000-0002-4181-4735 wcraddock@usgs.gov","orcid":"https://orcid.org/0000-0002-4181-4735","contributorId":3411,"corporation":false,"usgs":true,"family":"Craddock","given":"William","email":"wcraddock@usgs.gov","middleInitial":"H.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":819215,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70229659,"text":"70229659 - 2021 - Greater Yellowstone climate assessment: Past, present, and future climate change in the greater Yellowstone watersheds","interactions":[],"lastModifiedDate":"2022-03-15T15:41:13.424217","indexId":"70229659","displayToPublicDate":"2021-06-01T11:57:17","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"seriesTitle":{"id":10388,"text":"Greater Yellowstone Climate Assessment","active":true,"publicationSubtype":{"id":3}},"title":"Greater Yellowstone climate assessment: Past, present, and future climate change in the greater Yellowstone watersheds","docAbstract":"

The Greater Yellowstone Area (GYA) is one of the last remaining large and nearly intact temperate ecosystems on Earth. GYA was originally defined in the 1970s as the Greater Yellowstone Ecosystem, which encompassed the minimum range of the grizzly bear. The boundary now includes about 22 million acres (8.9 million ha) in northwestern Wyoming, south central Montana, and eastern Idaho (Figure ES-1). Two national parks, five national forests, three wildlife refuges, 20 counties, and state and private lands lie within the GYA boundary (Figure ES-1). The Tribal Nations of the Eastern Shoshone, Northern Arapaho, Apsa´alooke/Crow, Northern Cheyenne, Shoshone, and Bannock have reservations in and near the Greater Yellowstone Area, and 27 Tribes are formally recognized to have historical connections to the lands and resources of the region. Natural resources sensitive to climate change connect many of the major economic activities of the GYA, including tourism and recreation, agriculture, and energy development.

","language":"English","publisher":"Montana State University","doi":"10.15788/GYCA2021","usgsCitation":"Hostetler, S.W., Whitlock, C., Shuman, B., Liefert, D., Wolf Drimal, C., and Bischke, S., 2021, Greater Yellowstone climate assessment: Past, present, and future climate change in the greater Yellowstone watersheds: Greater Yellowstone Climate Assessment, 218 p., https://doi.org/10.15788/GYCA2021.","productDescription":"218 p.","ipdsId":"IP-127170","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":452032,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.15788/gyca2021","text":"Publisher Index Page"},{"id":436330,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P972JAUC","text":"USGS data release","linkHelpText":"Data release for Greater Yellowstone Climate Assessment (vol 1), Chapter 7. Future Water Projections for the GYA"},{"id":397116,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Montana, Wyoming","otherGeospatial":"Greater Yellowstone watersheds","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -112.54394531249999,\n 42.09822241118974\n ],\n [\n -108.2373046875,\n 42.09822241118974\n ],\n [\n -108.2373046875,\n 45.9511496866914\n ],\n [\n -112.54394531249999,\n 45.9511496866914\n ],\n [\n -112.54394531249999,\n 42.09822241118974\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2021-06-23","publicationStatus":"PW","contributors":{"editors":[{"text":"Alder, Jay R. 0000-0003-2378-2853 jalder@usgs.gov","orcid":"https://orcid.org/0000-0003-2378-2853","contributorId":5118,"corporation":false,"usgs":true,"family":"Alder","given":"Jay","email":"jalder@usgs.gov","middleInitial":"R.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":837847,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Pederson, Gregory T. 0000-0002-6014-1425 gpederson@usgs.gov","orcid":"https://orcid.org/0000-0002-6014-1425","contributorId":3106,"corporation":false,"usgs":true,"family":"Pederson","given":"Gregory","email":"gpederson@usgs.gov","middleInitial":"T.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":837848,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Hostetler, Steven W. 0000-0003-2272-8302 swhostet@usgs.gov","orcid":"https://orcid.org/0000-0003-2272-8302","contributorId":3249,"corporation":false,"usgs":true,"family":"Hostetler","given":"Steven","email":"swhostet@usgs.gov","middleInitial":"W.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":837841,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Whitlock, Cathy","contributorId":79745,"corporation":false,"usgs":false,"family":"Whitlock","given":"Cathy","email":"","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":837842,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shuman, Bryan","contributorId":205232,"corporation":false,"usgs":false,"family":"Shuman","given":"Bryan","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":837843,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Liefert, David 0000-0001-7682-6835","orcid":"https://orcid.org/0000-0001-7682-6835","contributorId":288395,"corporation":false,"usgs":false,"family":"Liefert","given":"David","email":"","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":837844,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wolf Drimal, Charles","contributorId":288398,"corporation":false,"usgs":false,"family":"Wolf Drimal","given":"Charles","email":"","affiliations":[{"id":61749,"text":"Greater Yellowstone Coalition","active":true,"usgs":false}],"preferred":false,"id":837845,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bischke, Scott","contributorId":288399,"corporation":false,"usgs":false,"family":"Bischke","given":"Scott","email":"","affiliations":[{"id":61752,"text":"Mountain Works","active":true,"usgs":false}],"preferred":false,"id":837846,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70229042,"text":"70229042 - 2021 - Diel patterns of predation and fledging at nests of four species of grassland songbirds","interactions":[],"lastModifiedDate":"2022-02-28T17:09:30.743422","indexId":"70229042","displayToPublicDate":"2021-06-01T10:56:56","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Diel patterns of predation and fledging at nests of four species of grassland songbirds","docAbstract":"

Although it is common for nestlings to exhibit a strong bias for fledging in the morning, the mechanisms underlying this behavior are not well understood. Avoiding predation risk has been proposed as a likely mechanism by a number of researchers. We used video surveillance records from studies of grassland birds nesting in North Dakota, Minnesota, and Wisconsin to determine the diel pattern of nest predation and fledging patterns of four ground-nesting obligate grassland passerines (Grasshopper Sparrow (Ammodramus savannarum), Savannah Sparrow (Passerculus sandwichensis), Bobolink (Dolichonyx oryzivorus), and Eastern Meadowlark (Sturnella magna)). We used the nest predation pattern as a surrogate for predation activity to test whether nestlings minimized predation risk by avoiding fledging when predation activity was high and preferentially fledging when predation risk was low. Predation activity was significantly lower starting 3 hr before sunrise and ending 3 hr after sunrise, followed by a transition to a period of significantly higher activity lasting for 4 hr, before declining to an average activity level for the rest of the diel period. There was little evidence that the four grassland bird species avoided fledging during the high-risk period and Savannah Sparrow fledged at higher rates during that period. All four species had hours during the low-risk period where they fledged at higher rates, but only Grasshopper Sparrow fledged preferentially during that period. Bobolink and Eastern Meadowlark had multiple hours with high fledging rates throughout the daytime period, resulting in no relationship between probability of fledging and predation risk. Given the species variability in fledging pattern seen in our study, it is unlikely that there is a universal response to any driver that affects time of fledging. Further study is needed to understand the complex interplay between species ecology and drivers such as physiology, energetics, and predation in affecting grassland bird fledging behavior.

","language":"English","publisher":"Wiley","doi":"10.1002/ece3.7541","usgsCitation":"Ribic, C., Rugg, D.J., Ellison, K., Koper, N., and Pietz, P.J., 2021, Diel patterns of predation and fledging at nests of four species of grassland songbirds: Ecology and Evolution, v. 11, no. 11, p. 6913-6926, https://doi.org/10.1002/ece3.7541.","productDescription":"14 p.","startPage":"6913","endPage":"6926","ipdsId":"IP-120613","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":452037,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.7541","text":"Publisher Index Page"},{"id":396566,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota, North Dakota, Wisconsin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -99.085693359375,\n 46.707852594536355\n ],\n [\n -98.31390380859375,\n 46.707852594536355\n ],\n [\n -98.31390380859375,\n 47.04766864046083\n ],\n [\n -99.085693359375,\n 47.04766864046083\n ],\n [\n -99.085693359375,\n 46.707852594536355\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -99.49630737304688,\n 47.05983195515023\n ],\n [\n -99.08843994140625,\n 47.05983195515023\n ],\n [\n -99.08843994140625,\n 47.24381345414034\n ],\n [\n -99.49630737304688,\n 47.24381345414034\n ],\n [\n -99.49630737304688,\n 47.05983195515023\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -101.00830078125,\n 48.50295743049266\n ],\n [\n -100.43289184570312,\n 48.50295743049266\n ],\n [\n -100.43289184570312,\n 48.672826384100354\n ],\n [\n -101.00830078125,\n 48.672826384100354\n ],\n [\n -101.00830078125,\n 48.50295743049266\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -96.7730712890625,\n 47.711609647845975\n ],\n [\n -96.4874267578125,\n 47.711609647845975\n ],\n [\n -96.4874267578125,\n 47.830674012109434\n ],\n [\n -96.7730712890625,\n 47.830674012109434\n ],\n [\n -96.7730712890625,\n 47.711609647845975\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.80361938476562,\n 42.96245265666877\n ],\n [\n -89.68276977539062,\n 42.96245265666877\n ],\n [\n -89.68276977539062,\n 43.04881979669318\n ],\n [\n -89.80361938476562,\n 43.04881979669318\n ],\n [\n -89.80361938476562,\n 42.96245265666877\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"11","issue":"11","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ribic, Christine 0000-0003-2583-1778 caribic@usgs.gov","orcid":"https://orcid.org/0000-0003-2583-1778","contributorId":147952,"corporation":false,"usgs":true,"family":"Ribic","given":"Christine","email":"caribic@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":5068,"text":"Midwest Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":836346,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rugg, David J.","contributorId":171931,"corporation":false,"usgs":false,"family":"Rugg","given":"David","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":836347,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ellison, Kevin","contributorId":274390,"corporation":false,"usgs":false,"family":"Ellison","given":"Kevin","affiliations":[{"id":37767,"text":"World Wildlife Fund","active":true,"usgs":false}],"preferred":false,"id":836348,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Koper, Nicola","contributorId":274389,"corporation":false,"usgs":false,"family":"Koper","given":"Nicola","affiliations":[{"id":16603,"text":"University of Manitoba","active":true,"usgs":false}],"preferred":false,"id":836349,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pietz, Pamela J. 0000-0003-4606-044X","orcid":"https://orcid.org/0000-0003-4606-044X","contributorId":286892,"corporation":false,"usgs":true,"family":"Pietz","given":"Pamela","email":"","middleInitial":"J.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":836350,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70221396,"text":"70221396 - 2021 - A survey of storm-induced seaward-transport features observed during the 2019 and 2020 hurricane seasons","interactions":[],"lastModifiedDate":"2021-06-14T12:56:49.325445","indexId":"70221396","displayToPublicDate":"2021-06-01T07:54:31","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":8932,"text":"Shore and Beach","active":true,"publicationSubtype":{"id":10}},"title":"A survey of storm-induced seaward-transport features observed during the 2019 and 2020 hurricane seasons","docAbstract":"Hurricanes are known to play a critical role in reshaping coastlines, but often only impacts on the open ocean coast are considered, ignoring seaward-directed forces and responses. The identification of subaerial evidence for storm-induced seaward transport is a critical step towards understanding its impact on coastal resiliency. The visual features, found in the National Oceanic and Atmospheric Administration, National Geodetic Survey Emergency Response Imagery (ERI) collected after recent hurricanes on the U.S. East Atlantic and Gulf of Mexico coasts, include scours and channelized erosion, but also deposition on the shoreface or in the nearshore as deltas and fans of various sizes. We catalog all available ERI and describe recently formed features found on the North Core Banks, North Carolina, after Hurricane Dorian (2019); the Carolina coasts after Hurricane Isaias (2020); the Isles Dernieres, Louisiana, after Hurricane Zeta (2020); and the southwest coast of Louisiana, after Hurricanes Laura and Delta (2020). Hundreds of features were identified over nearly 200 km of coastline with the density of features exceeding 20 per km in some areas. Individual features range in size from 5 m to 500 m in the alongshore, with similar dimensions in the cross-shore direction, including the formation or reactivation of outlets. The extensive occurrence of these storm-induced return-flow and seawardflow morphologic features demonstrates that their role in coastal evolution and resilience may be more prominent than previously thought. Based on these observations we propose clarifying terms for return- and seaward-flow features to distinguish them from more frequently documented landward-flow features and advocate for their inclusion in coastal change hazards classification schemes and coastal evolution morphodynamic models.","language":"English","publisher":"American Shore & Beach Preservation Association","doi":"10.34237/1008924","usgsCitation":"Over, J.R., Brown, J., Sherwood, C.R., Hegermiller, C., Wernette, P., Ritchie, A.C., and Warrick, J.A., 2021, A survey of storm-induced seaward-transport features observed during the 2019 and 2020 hurricane seasons: Shore and Beach, v. 89, no. 2, p. 31-40, https://doi.org/10.34237/1008924.","productDescription":"10 p.","startPage":"31","endPage":"40","ipdsId":"IP-126879","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":452060,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.31223/x5dp69","text":"External Repository"},{"id":386467,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"southeast United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -94.306640625,\n 25.005972656239187\n ],\n [\n -75.146484375,\n 25.005972656239187\n ],\n [\n -75.146484375,\n 36.59788913307022\n ],\n [\n -94.306640625,\n 36.59788913307022\n ],\n [\n -94.306640625,\n 25.005972656239187\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"89","issue":"2","noUsgsAuthors":false,"publicationDate":"2021-06-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Over, Jin-Si R. 0000-0001-6753-7185 jover@usgs.gov","orcid":"https://orcid.org/0000-0001-6753-7185","contributorId":260178,"corporation":false,"usgs":true,"family":"Over","given":"Jin-Si","email":"jover@usgs.gov","middleInitial":"R.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":817510,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brown, Jenna A. 0000-0003-3137-7073","orcid":"https://orcid.org/0000-0003-3137-7073","contributorId":208564,"corporation":false,"usgs":true,"family":"Brown","given":"Jenna A.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":817511,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sherwood, Christopher R. 0000-0001-6135-3553 csherwood@usgs.gov","orcid":"https://orcid.org/0000-0001-6135-3553","contributorId":2866,"corporation":false,"usgs":true,"family":"Sherwood","given":"Christopher","email":"csherwood@usgs.gov","middleInitial":"R.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":817512,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hegermiller, Christie 0000-0002-6383-7508 chegermiller@usgs.gov","orcid":"https://orcid.org/0000-0002-6383-7508","contributorId":149010,"corporation":false,"usgs":true,"family":"Hegermiller","given":"Christie","email":"chegermiller@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":817513,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wernette, Phillipe Alan 0000-0002-8902-5575","orcid":"https://orcid.org/0000-0002-8902-5575","contributorId":259274,"corporation":false,"usgs":true,"family":"Wernette","given":"Phillipe Alan","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":817514,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ritchie, Andrew C. aritchie@usgs.gov","contributorId":4984,"corporation":false,"usgs":true,"family":"Ritchie","given":"Andrew","email":"aritchie@usgs.gov","middleInitial":"C.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":817515,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Warrick, Jonathan A. 0000-0002-0205-3814 jwarrick@usgs.gov","orcid":"https://orcid.org/0000-0002-0205-3814","contributorId":167736,"corporation":false,"usgs":true,"family":"Warrick","given":"Jonathan","email":"jwarrick@usgs.gov","middleInitial":"A.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":817516,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70222051,"text":"70222051 - 2021 - Ecological effects of climate-driven salinity variation in the San Francisco Estuary: Can we anticipate and manage the coming changes?","interactions":[],"lastModifiedDate":"2021-07-15T20:45:26.524443","indexId":"70222051","displayToPublicDate":"2021-05-31T15:39:04","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3331,"text":"San Francisco Estuary and Watershed Science","active":true,"publicationSubtype":{"id":10}},"title":"Ecological effects of climate-driven salinity variation in the San Francisco Estuary: Can we anticipate and manage the coming changes?","docAbstract":"

Climate change-driven sea level rise and altered precipitation regimes are predicted to alter patterns of salt intrusion within the San Francisco Estuary. A central question is: Can we use existing knowledge and future projections to predict and manage the anticipated ecological impacts? This was the subject of a 2018 symposium entitled “Ecological and Physiological Impacts of Salinization of Aquatic Systems from Human Activities.” The symposium brought together an inter-disciplinary group of scientists and researchers, resource managers, and policy-makers. Here, we summarize and review the presentations and discussions that arose during the symposium. From a historical perspective, salt intrusion has changed substantially over the past 10,000 years as a result of changing climate patterns, with additional shifts from recent anthropogenic effects. Current salinity patterns in the San Francisco Estuary are driven by a suite of hydrodynamic processes within the given contexts of water management and geography. Based on climate projections for the coming century, significant changes are expected in the processes that determine the spatial and temporal patterns of salinity. Given that native species—including fishes such as the Delta Smelt and Sacramento Splittail—track favorable habitats, exhibit physiological acclimation, and can adaptively evolve, we present a framework for assessing their vulnerability to altered salinity in the San Francisco Estuary. We then present a range of regulatory and structural management tools that are available to control patterns of salinity within the San Francisco Estuary. Finally, we identify major research priorities that can help fill critical gaps in our knowledge about future salinity patterns and the consequences of climate change and sea level rise. These research projects will be most effective with strong linkages and communication between scientists and researchers, resource managers, and policy-makers.

","language":"English","publisher":"John Muir Institute of the Environment","doi":"10.15447/sfews.2021v19iss2art3","usgsCitation":"Chalambor, C.K., Gross, E.S., Grosholz, E., Jeffries, K.M., Largier, J.L., McCormick, S.D., Sommer, T., Velotta, J., and Whitehead, A., 2021, Ecological effects of climate-driven salinity variation in the San Francisco Estuary: Can we anticipate and manage the coming changes?: San Francisco Estuary and Watershed Science, v. 19, no. 2, https://doi.org/10.15447/sfews.2021v19iss2art3.","productDescription":"3, 30 p.","startPage":"article 3","ipdsId":"IP-120646","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":452067,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.15447/sfews.2021v19iss2art3","text":"Publisher Index Page"},{"id":387198,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay Estuary","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.56347656249999,\n 37.208456662000195\n ],\n [\n -120.904541015625,\n 37.208456662000195\n ],\n [\n -120.904541015625,\n 38.749799358878526\n ],\n [\n -122.56347656249999,\n 38.749799358878526\n ],\n [\n -122.56347656249999,\n 37.208456662000195\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"19","issue":"2","noUsgsAuthors":false,"publicationDate":"2020-06-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Chalambor, Cameron K","contributorId":261131,"corporation":false,"usgs":false,"family":"Chalambor","given":"Cameron","email":"","middleInitial":"K","affiliations":[{"id":52741,"text":"Colorado State Univ","active":true,"usgs":false}],"preferred":false,"id":819305,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gross, Edward S.","contributorId":173128,"corporation":false,"usgs":false,"family":"Gross","given":"Edward","email":"","middleInitial":"S.","affiliations":[{"id":16871,"text":"Resource Management Associates","active":true,"usgs":false}],"preferred":false,"id":819307,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grosholz, Edwin D.","contributorId":171563,"corporation":false,"usgs":false,"family":"Grosholz","given":"Edwin D.","affiliations":[],"preferred":false,"id":819306,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jeffries, Ken M","contributorId":261132,"corporation":false,"usgs":false,"family":"Jeffries","given":"Ken","email":"","middleInitial":"M","affiliations":[{"id":52742,"text":"Univ Manitoba","active":true,"usgs":false}],"preferred":false,"id":819308,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Largier, John L.","contributorId":175121,"corporation":false,"usgs":false,"family":"Largier","given":"John","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":819309,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McCormick, Stephen D. 0000-0003-0621-6200 smccormick@usgs.gov","orcid":"https://orcid.org/0000-0003-0621-6200","contributorId":139214,"corporation":false,"usgs":true,"family":"McCormick","given":"Stephen","email":"smccormick@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":819310,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sommer, Ted","contributorId":256830,"corporation":false,"usgs":false,"family":"Sommer","given":"Ted","affiliations":[{"id":37342,"text":"California Department of Water Resources","active":true,"usgs":false}],"preferred":false,"id":819311,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Velotta, Jonathan P","contributorId":192317,"corporation":false,"usgs":false,"family":"Velotta","given":"Jonathan P","affiliations":[],"preferred":false,"id":819312,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Whitehead, Andrew","contributorId":221105,"corporation":false,"usgs":false,"family":"Whitehead","given":"Andrew","email":"","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":819313,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70221053,"text":"70221053 - 2021 - Perfluoroalkyl substances in plasma of smallmouth bass from the Chesapeake Bay Watershed","interactions":[],"lastModifiedDate":"2021-07-02T13:32:14.906126","indexId":"70221053","displayToPublicDate":"2021-05-30T06:57:11","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2041,"text":"International Journal of Environmental Research and Public Health","active":true,"publicationSubtype":{"id":10}},"title":"Perfluoroalkyl substances in plasma of smallmouth bass from the Chesapeake Bay Watershed","docAbstract":"

Smallmouth bass Micropterus dolomieu is an economically important sportfish and within the Chesapeake Bay watershed has experienced a high prevalence of external lesions, infectious disease, mortality events, reproductive endocrine disruption and population declines. To date, no clear or consistent associations with contaminants measured in fish tissue or surface water have been found. Therefore, plasma samples from two sites in the Potomac River and two in the Susquehanna River drainage basins, differing in land-use characteristics, were utilized to determine if perfluoroalkyl substances were present. Four compounds, perfluorooctane sulphonic acid (PFOS), perfluoroundecanoic acid (PFUnA), perfluorodecanoic acid (PFDA) and perfluorododecanoic acid (PFDoA), were detected in every fish. Two additional compounds, perfluorooctane sulphonamide (PFOSA) and perfluorononanoic acid (PFNA), were less commonly detected at lower concentrations, depending on the site. Concentrations of PFOS (up to 574 ng/mL) were the highest detected and varied significantly among sites. No seasonal differences (spring versus fall) in plasma concentrations were observed. Concentrations of PFOS were not significantly different between the sexes. However, PFUnA and PFDoA concentrations were higher in males than females. Both agricultural and developed land-use appeared to be associated with exposure. Further research is needed to determine if these compounds could be affecting the health of smallmouth bass and identify sources.

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2007–19","interactions":[],"lastModifiedDate":"2021-05-27T11:52:45.64841","indexId":"sir20215028","displayToPublicDate":"2021-05-26T13:37:00","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2021-5028","displayTitle":"Flow Characteristics and Salinity Patterns in Tidal Rivers Within the Northern Ten Thousand Islands, Southwest Florida, Water Years 2007–19","title":"Flow characteristics and salinity patterns in tidal rivers within the northern Ten Thousand Islands, southwest Florida, water years 2007–19","docAbstract":"

Freshwater flow to the Ten Thousand Islands (TTI) estuary has been altered by the construction of the Tamiami Trail and construction of features in the now defunct Southern Golden Gate Estates development. This development included four associated canals that combine into the Faka Union Canal, which discharges into the TTI estuary. The Picayune Strand Restoration Project (PSRP) was initiated in 2007 to improve freshwater delivery to the TTI estuary by removing hundreds of miles of roads, emplacing hundreds of canal plugs, removing exotic vegetation, and constructing three pump stations. Quantifying the tributary flows and salinity patterns prior to, during, and after the restoration is essential to assessing the effectiveness of upstream restoration efforts. The U.S. Geological Survey, in cooperation with U.S. Army Corps of Engineers, initiated an ongoing study in 2006 to assess flow and salinity patterns in the TTI estuary. This is the second report by the U.S. Geological Survey describing flow characteristics and salinity patterns in the TTI area as part of the PSRP. This report describes flow characteristics and salinity patterns for the monitoring stations at Faka Union River, Pumpkin River, and East River and includes an assessment of salinity data from the Faka Union Boundary and Blackwater River water-quality stations for water years 2007–19. A water year is defined as the 12-month period from October 1 for any given year to September 30 of the following year.

Annual and monthly variations in flow and salinity are often related to variations in rainfall with high and low annual flows (and below average and above average salinities) typically occurring during years with high and low annual rainfall, respectively. Monthly flows typically begin increasing in June and peak in September. Over the study period, positive trends in rainfall-adjusted monthly flow were detected at Faka Union River and East River, whereas no significant trend in flow was detected at Pumpkin River. Faka Union River is the largest contributor of freshwater to the TTI estuary, providing over 80 percent of the annual freshwater inflow to the estuary. The Faka Union Canal is expected to be the largest contributor of freshwater because until the PSRP is completed, the Faka Union Canal receives substantial drainage from multiple canals, which is not the case for Pumpkin and East Rivers. East River was the second largest contributor, followed by Pumpkin River. East River is downstream of the Fakahatchee Stand, which is a larger contributing area than the current contributing area for Pumpkin River. Monthly mean salinities were lowest at Faka Union River and East River, indicating that they received a greater amount of freshwater than the stations to the west. Negative trends in rainfall-adjusted salinity monthly means were observed at all monitoring stations during the study period. Increased trends in flow and decreased trends in salinity are attributed to increases in flow from upstream canals.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20215028","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Booth, A.C., and Knight, T.M., 2021, Flow characteristics and salinity patterns in tidal rivers within the northern Ten Thousand Islands, southwest Florida, water years 2007–19: U.S. Geological Survey Scientific Investigations Report 2021–5028, 21 p., https://doi.org/10.3133/sir20215028.","productDescription":"vii, 21 p.","numberOfPages":"34","ipdsId":"IP-122818","costCenters":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"links":[{"id":385935,"rank":3,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2021/5028/images"},{"id":385934,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2021/5028/sir20215028.pdf","text":"Report","size":"4.31 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021–5028"},{"id":385933,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2021/5028/coverthb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Northern Ten Thousand Islands","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.67304992675781,\n 25.852426562716428\n ],\n [\n -81.47941589355469,\n 25.852426562716428\n ],\n [\n -81.47941589355469,\n 25.972243398901558\n ],\n [\n -81.67304992675781,\n 25.972243398901558\n ],\n [\n -81.67304992675781,\n 25.852426562716428\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

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

Contact Pubs Warehouse

","tableOfContents":"","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2021-05-26","noUsgsAuthors":false,"publicationDate":"2021-05-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Booth, Amanda C. 0000-0002-2666-2366 acbooth@usgs.gov","orcid":"https://orcid.org/0000-0002-2666-2366","contributorId":258448,"corporation":false,"usgs":true,"family":"Booth","given":"Amanda C.","email":"acbooth@usgs.gov","affiliations":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"preferred":true,"id":816443,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Knight, Travis M. 0000-0002-0472-8141 tknight@usgs.gov","orcid":"https://orcid.org/0000-0002-0472-8141","contributorId":5433,"corporation":false,"usgs":true,"family":"Knight","given":"Travis","email":"tknight@usgs.gov","middleInitial":"M.","affiliations":[{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true}],"preferred":true,"id":816444,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70230073,"text":"70230073 - 2021 - Onset and evolution of Kilauea’s 2018 flank eruption and summit collapse from continuous gravity","interactions":[],"lastModifiedDate":"2022-03-28T13:19:34.266653","indexId":"70230073","displayToPublicDate":"2021-05-25T08:14:56","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Onset and evolution of Kīlauea's 2018 flank eruption and summit collapse from continuous gravity","title":"Onset and evolution of Kilauea’s 2018 flank eruption and summit collapse from continuous gravity","docAbstract":"

Prior to the 2018 lower East Rift Zone (ERZ) eruption and summit collapse of Kīlauea Volcano, Hawai‘i, continuous gravimeters operated on the vent rims of ongoing eruptions at both the summit and Pu‘u ‘Ō‘ō. These instruments captured the onset of the 2018 lower ERZ eruption and the effects of lava withdrawal from both locales, providing constraints on the timing and style of activity and the physical properties of the lava lakes at both locations. At the summit, combining gravity, lava level, and a three-dimensional model of the vent indicates that the upper ∼200 m of the lava lake had a density of about 1700 kg m−3, slightly greater than estimates from 2011–2015 and possibly indicating a gradual densification over time. At Pu‘u ‘Ō‘ō, gravity and vent geometry were used to model both the density and the rate of crater collapse, which was unknown owing to a lack of visual observations. Results suggest the withdrawal of at least 11×106 m3 of lava over the course of two hours, and a material density of 1800–1900 kg m−3. In addition, gravity data at Pu‘u ‘Ō‘ō captured a transient decrease and increase about an hour prior to crater collapse and that was probably related to a small, short-lived fissure eruption on the west flank of the cone and possibly to dike intrusion beneath Pu‘u ‘Ō‘ō. The fissure was the first event in the subsequent cascade that ultimately led to the extrusion of over 1 km3 of lava from lower ERZ vents, collapse of the summit caldera floor by more than 500 m, and the destruction of over 700 homes and other structures. These results emphasize the importance of continuous gravity in operational monitoring of active volcanoes.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2021.117003","usgsCitation":"Poland, M., Carbone, D., and Patrick, M.R., 2021, Onset and evolution of Kilauea’s 2018 flank eruption and summit collapse from continuous gravity: Earth and Planetary Science Letters, v. 567, 117003, 12 p., https://doi.org/10.1016/j.epsl.2021.117003.","productDescription":"117003, 12 p.","ipdsId":"IP-123201","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":452142,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.epsl.2021.117003","text":"Publisher Index Page"},{"id":436343,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P99QB29I","text":"USGS data release","linkHelpText":"Crater geometry data for Puʻuʻōʻō, on Kīlauea Volcano’s East Rift Zone, in May 2018"},{"id":436342,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9PP5LX1","text":"USGS data release","linkHelpText":"Continuous gravity data from K?lauea Volcano, Hawai?i"},{"id":397686,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kilauea Volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.40985107421875,\n 19.158141038187704\n ],\n [\n -154.78912353515625,\n 19.158141038187704\n ],\n [\n -154.78912353515625,\n 19.557202031700292\n ],\n [\n -155.40985107421875,\n 19.557202031700292\n ],\n [\n -155.40985107421875,\n 19.158141038187704\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"567","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Poland, Michael 0000-0001-5240-6123","orcid":"https://orcid.org/0000-0001-5240-6123","contributorId":49920,"corporation":false,"usgs":true,"family":"Poland","given":"Michael","affiliations":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true}],"preferred":true,"id":838947,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carbone, Daniele","contributorId":124561,"corporation":false,"usgs":false,"family":"Carbone","given":"Daniele","email":"","affiliations":[{"id":5113,"text":"INGV","active":true,"usgs":false}],"preferred":false,"id":838948,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Patrick, Matthew R. 0000-0002-8042-6639 mpatrick@usgs.gov","orcid":"https://orcid.org/0000-0002-8042-6639","contributorId":2070,"corporation":false,"usgs":true,"family":"Patrick","given":"Matthew","email":"mpatrick@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":838949,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70221286,"text":"70221286 - 2021 - Do crayfish affect stream ecosystem response to riparian vegetation removal?","interactions":[],"lastModifiedDate":"2021-06-30T19:04:39.950629","indexId":"70221286","displayToPublicDate":"2021-05-25T07:11:50","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Do crayfish affect stream ecosystem response to riparian vegetation removal?","docAbstract":"1. Riparian vegetation management alters stream basal resources, but stream ecosystem responses partly depend on top-down interactions with in-stream consumers. Large-bodied omnivores can exert particularly strong influences on stream benthic environments through consumption of food resources and physical disturbance of the benthos. Trophic dynamics studies conducted within the context of reach-scale riparian vegetation manipulations can provide insights into the interactions and relative importance of top-down and bottom-up controls that determine ecosystem response to riparian change. \n2. Here, we examine how top-down control by crayfish omnivores (Cambarus spp.) interacts with abiotic conditions created by reach-scale removal of riparian rhododendron (Rhododendron maximum) in the southern Appalachian Mountains. We conducted 32-day trophic experiments by nesting 5 pairs of electrified (crayfish excluded) and non-electrified (crayfish access) plots within each of two 300-m stream reaches (one control and one rhododendron-removed) for one year pre-removal and two years post-removal. \n3. Algal growth only responded positively to the reduced canopy cover (post-rhododendron removal) under low flow conditions and in the absence of top-down control by crayfish during the post-treatment year 2. Leaf decomposition rates were reduced by ~40% in the absence of crayfish, but higher inputs of rhododendron leaf litter during the summer following rhododendron removal reduced the effect of crayfish presence on decomposition. Riparian rhododendron removal also significantly increased benthic sediment and fine benthic organic matter, but macroconsumer exclusion did not affect these stream properties. \n4. Potential long-term reductions in crayfish abundance could reduce the top-down effects of crayfish and ultimately lead to higher algal growth and reduced leaf decomposition rates in streams where rhododendron is managed through removal.","language":"English","publisher":"Wiley","doi":"10.1111/fwb.13728","usgsCitation":"Dudley, M.P., Solomon, K., Wenger, S., Jackson, C.R., Freeman, M., Elliott, K.J., Miniat, C., and Pringle, C.M., 2021, Do crayfish affect stream ecosystem response to riparian vegetation removal?: Freshwater Biology, v. 66, no. 7, p. 1423-1435, https://doi.org/10.1111/fwb.13728.","productDescription":"13 p.","startPage":"1423","endPage":"1435","ipdsId":"IP-120584","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":386339,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","otherGeospatial":"Southern Appalachian Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.693603515625,\n 34.99850370014629\n ],\n [\n -82.9632568359375,\n 34.99850370014629\n ],\n [\n -82.9632568359375,\n 35.78662688467009\n ],\n [\n -84.693603515625,\n 35.78662688467009\n ],\n [\n -84.693603515625,\n 34.99850370014629\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"66","issue":"7","noUsgsAuthors":false,"publicationDate":"2021-05-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Dudley, Maura P. 0000-0001-9574-8844","orcid":"https://orcid.org/0000-0001-9574-8844","contributorId":236862,"corporation":false,"usgs":false,"family":"Dudley","given":"Maura","email":"","middleInitial":"P.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":817238,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Solomon, Kelsey","contributorId":260094,"corporation":false,"usgs":false,"family":"Solomon","given":"Kelsey","email":"","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":817239,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wenger, Seth J.","contributorId":177838,"corporation":false,"usgs":false,"family":"Wenger","given":"Seth J.","affiliations":[],"preferred":false,"id":817240,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jackson, C. Rhett","contributorId":236863,"corporation":false,"usgs":false,"family":"Jackson","given":"C.","email":"","middleInitial":"Rhett","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":817241,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Freeman, Mary 0000-0001-7615-6923 mcfreeman@usgs.gov","orcid":"https://orcid.org/0000-0001-7615-6923","contributorId":3528,"corporation":false,"usgs":true,"family":"Freeman","given":"Mary","email":"mcfreeman@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":817242,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Elliott, Katherine J.","contributorId":260095,"corporation":false,"usgs":false,"family":"Elliott","given":"Katherine","email":"","middleInitial":"J.","affiliations":[{"id":36493,"text":"USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":817243,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Miniat, Chelcy F.","contributorId":260097,"corporation":false,"usgs":false,"family":"Miniat","given":"Chelcy F.","affiliations":[{"id":36493,"text":"USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":817244,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pringle, Catherine M.","contributorId":176292,"corporation":false,"usgs":false,"family":"Pringle","given":"Catherine","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":817245,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70222344,"text":"70222344 - 2021 - Sin Nombre virus prevalence from 2014–2017 in wild deer mice, Peromyscus maniculatus, on five of the California Channel Islands","interactions":[],"lastModifiedDate":"2021-10-06T15:28:31.314288","indexId":"70222344","displayToPublicDate":"2021-05-24T09:39:19","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3813,"text":"Zoonoses and Public Health","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Sin Nombre virus prevalence from 2014–2017 in wild deer mice, Peromyscus maniculatus, on five of the California Channel Islands","title":"Sin Nombre virus prevalence from 2014–2017 in wild deer mice, Peromyscus maniculatus, on five of the California Channel Islands","docAbstract":"

Sin Nombre virus (SNV) is a zoonotic virus that is highly pathogenic to humans. The deer mouse, Peromyscus maniculatus, is the primary host of SNV, and SNV prevalence in P. maniculatus is an important indicator of human disease risk. Because the California Channel Islands contain permanent human settlements, receive hundreds of thousands of visitors each year, and can have extremely high densities of P. maniculatus, surveillance for SNV in island P. maniculatus is important for understanding the human risk of zoonotic disease. Despite the importance of surveillance on these heavily utilized islands, SNV prevalence (i.e. the proportion of P. maniculatus that test positive to antibodies to SNV) has not been examined in the last 13–27 years. We present data on 1,610 mice sampled for four consecutive years (2014–2017) on five of the California Channel Islands: East Anacapa, Santa Barbara, Santa Catalina, San Nicolas, and San Clemente. Despite historical data indicating SNV-positive mice on San Clemente and Santa Catalina, we detected no SNV-positive mice on these islands, suggesting very low prevalence or possible loss of SNV. Islands historically free of SNV (East Anacapa, Santa Barbara, and San Nicolas) remained free of SNV, suggesting that rates of pathogen introduction from other islands and/or the mainland are low. Although continued surveillance is warranted to determine whether SNV establishes on these islands, our work helps inform current human disease risk in these locations and suggests that SNV prevalence on these islands is currently very low.

","language":"English","publisher":"Wiley","doi":"10.1111/zph.12855","usgsCitation":"Orrock, J.L., Connolly, B., Guiden, P., Chandler, J.L., Bron, G.M., Drost, C.A., and Garcelon, D.K., 2021, Sin Nombre virus prevalence from 2014–2017 in wild deer mice, Peromyscus maniculatus, on five of the California Channel Islands: Zoonoses and Public Health, v. 68, no. 7, p. 849-853, https://doi.org/10.1111/zph.12855.","productDescription":"5 p.","startPage":"849","endPage":"853","ipdsId":"IP-120303","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":500015,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://research.wur.nl/en/publications/sin-nombre-virus-prevalence-from-20142017-in-wild-deer-mice-perom","text":"External Repository"},{"id":387384,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Channel Islands","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.64959716796874,\n 32.784965481461185\n ],\n [\n -118.3282470703125,\n 32.784965481461185\n ],\n [\n -118.3282470703125,\n 33.04320549616557\n ],\n [\n -118.64959716796874,\n 33.04320549616557\n ],\n [\n -118.64959716796874,\n 32.784965481461185\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.60015869140625,\n 33.26624989076275\n ],\n [\n -118.27331542968749,\n 33.26624989076275\n ],\n [\n -118.27331542968749,\n 33.502468829034314\n ],\n [\n -118.60015869140625,\n 33.502468829034314\n ],\n [\n -118.60015869140625,\n 33.26624989076275\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.58892822265626,\n 33.18813395605041\n ],\n [\n -119.42413330078125,\n 33.18813395605041\n ],\n [\n -119.42413330078125,\n 33.30757713015298\n ],\n [\n -119.58892822265626,\n 33.30757713015298\n ],\n [\n -119.58892822265626,\n 33.18813395605041\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.0540313720703,\n 33.45836989641371\n ],\n [\n -119.02313232421874,\n 33.45836989641371\n ],\n [\n -119.02313232421874,\n 33.49101671911273\n ],\n [\n -119.0540313720703,\n 33.49101671911273\n ],\n [\n -119.0540313720703,\n 33.45836989641371\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.44782257080078,\n 34.000873555388495\n ],\n [\n -119.3558120727539,\n 34.000873555388495\n ],\n [\n -119.3558120727539,\n 34.01965669732604\n ],\n [\n -119.44782257080078,\n 34.01965669732604\n ],\n [\n -119.44782257080078,\n 34.000873555388495\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"68","issue":"7","noUsgsAuthors":false,"publicationDate":"2021-05-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Orrock, John L.","contributorId":209931,"corporation":false,"usgs":false,"family":"Orrock","given":"John","email":"","middleInitial":"L.","affiliations":[{"id":38031,"text":"Department of Zoology, University of Wisconsin, Madison, WI 53706; jorrock@wisc.edu","active":true,"usgs":false}],"preferred":false,"id":819684,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Connolly, Brian","contributorId":261299,"corporation":false,"usgs":false,"family":"Connolly","given":"Brian","email":"","affiliations":[{"id":52796,"text":"441 Mark Jefferson Science Complex, Biology Department, Eastern Michigan University, Ypsilanti, MI 48197;","active":true,"usgs":false}],"preferred":false,"id":819685,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Guiden, Peter","contributorId":261300,"corporation":false,"usgs":false,"family":"Guiden","given":"Peter","email":"","affiliations":[{"id":52797,"text":"Northern Illinois University, 429 Montgomery Hall, DeKalb IL 60115","active":true,"usgs":false}],"preferred":false,"id":819686,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chandler, Jennifer L.","contributorId":261301,"corporation":false,"usgs":false,"family":"Chandler","given":"Jennifer","email":"","middleInitial":"L.","affiliations":[{"id":52798,"text":"250 Natural Resources Rd., Agricultural Engineering Rm 115, Amherst, MA 01003","active":true,"usgs":false}],"preferred":false,"id":819687,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bron, Gebbiena M.","contributorId":261302,"corporation":false,"usgs":false,"family":"Bron","given":"Gebbiena","email":"","middleInitial":"M.","affiliations":[{"id":52800,"text":"1630 Linden Drive, Department of Entomology, University of Wisconsin-Madison, Madison, WI, 53706","active":true,"usgs":false}],"preferred":false,"id":819688,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Drost, Charles A. 0000-0002-4792-7095 charles_drost@usgs.gov","orcid":"https://orcid.org/0000-0002-4792-7095","contributorId":3151,"corporation":false,"usgs":true,"family":"Drost","given":"Charles","email":"charles_drost@usgs.gov","middleInitial":"A.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":819689,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Garcelon, David K.","contributorId":204012,"corporation":false,"usgs":false,"family":"Garcelon","given":"David","email":"","middleInitial":"K.","affiliations":[{"id":36796,"text":"Institute for Wildlife Studies, Arcata, CA, USA","active":true,"usgs":false}],"preferred":false,"id":819690,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70220862,"text":"70220862 - 2021 - Time marches on, but do the causal pathways driving instream habitat and biology remain consistent?","interactions":[],"lastModifiedDate":"2021-06-01T17:50:52.039437","indexId":"70220862","displayToPublicDate":"2021-05-24T07:29:22","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Time marches on, but do the causal pathways driving instream habitat and biology remain consistent?","docAbstract":"

Stream ecosystems are complex networks of interacting terrestrial and aquatic drivers. To untangle these ecological networks, efforts evaluating the direct and indirect effects of landscape, climate, and instream predictors on biological condition through time are needed. We used structural equation modeling and leveraged a stream survey program to identify and compare important predictors driving condition of benthic macroinvertebrate and fish assemblages. We used data resampled 14 years apart at 252 locations across Maryland, USA. Sample locations covered a wide range of conditions that varied spatiotemporally. Overall, the relationship directions were consistent between sample periods, but their relative strength varied temporally. For benthic macroinvertebrates, we found that the total effect of natural landscape (e.g., elevation, longitude, latitude, geology) and land use (i.e., forest, development, agriculture) predictors was 1.4 and 1.5 times greater in the late 2010s compared to the 2000s. Moreover, the total effect of water quality (e.g., total nitrogen and conductivity) and habitat (e.g., embeddedness, riffle quality) was 1.2 and 4.8 times lower in the 2010s, respectively. For fish assemblage condition, the total effect of land use-land cover predictors was 2.3 times greater in the 2010s compared to the 2000s, while the total effect of local habitat was 1.4 times lower in the 2010s, respectively. As expected, we found biological assemblages in catchments with more agriculture and urban development were generally comprised of tolerant, generalist species, while assemblages in catchments with greater forest cover had more-specialized, less-tolerant species (e.g., Ephemeroptera, Plecoptera, and Trichoptera taxa, clingers, benthic and lithophilic spawning fishes). Changes in the relative importance of landscape and land-use predictors suggest other correlated, yet unmeasured, proximal factors became more important over time. By untangling these ecological networks, stakeholders can gain a better understanding of the spatiotemporal relationships driving biological condition to implement management practices aimed at improving stream condition.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2021.147985","usgsCitation":"Walker, R.H., Ashton, M.J., Cashman, M.J., Fanelli, R., Krause, K.P., Noe, G.E., and Maloney, K.O., 2021, Time marches on, but do the causal pathways driving instream habitat and biology remain consistent?: Science of the Total Environment, v. 789, 147985, 14 p., https://doi.org/10.1016/j.scitotenv.2021.147985.","productDescription":"147985, 14 p.","ipdsId":"IP-127928","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":452166,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2021.147985","text":"Publisher Index Page"},{"id":385980,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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