Trace-metal concentrations in sediment and in the clam Macoma petalum (formerly reported as Macoma balthica), clam reproductive activity, and benthic macroinvertebrate community structure were investigated in a mudflat 1 kilometer south of the discharge of the Palo Alto Regional Water Quality Control Plant (PARWQCP) in south San Francisco Bay, Calif. This report includes the data collected by U.S. Geological Survey (USGS) scientists for the period January 2018 to December 2018. These append to long-term datasets extending back to 1974. A major focus of the report is an integrated description of the 2018 data within the context of the longer, multi-decadal dataset. This dataset supports the City of Palo Alto’s Near-Field Receiving-Water Monitoring Program, initiated in 1994.
Significant reductions in silver and copper concentrations in both sediment and M. petalum occurred at the site in the 1980s following the implementation by PARWQCP of advanced wastewater treatment and source control measures. Since the 1990s, concentrations of these elements appear to have stabilized at concentrations somewhat above (silver [Ag]) or near (copper [Cu]) regional background concentrations. Data for other metals, including chromium (Cr), mercury (Hg), nickel (Ni), selenium (Se), and zinc (Zn), have been collected since 1994. Over this period, concentrations of these elements have remained relatively constant, aside from seasonal variation that is common to all elements. In 2018, concentrations of silver and copper in M. petalum varied seasonally in response to a combination of site-specific metal exposures and annual growth and reproduction, as reported previously. Seasonal patterns for other elements, including Cr, Ni, Zn, Hg, and Se, were generally similar in timing and magnitude as those for Ag and Cu. This record suggests that legacy contamination and regional-scale factors now largely control sedimentary and bioavailable concentrations of silver and copper, as well as other elements of regulatory interest, at the Palo Alto site.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191084","collaboration":"Prepared in cooperation with the City of Palo Alto, California","usgsCitation":"Cain, D.J., Thompson, J.K., Parchaso, F., Pearson, S., Stewart, R., Turner, M., Shrader, K.H., Zierdt Smith, E.L., and Luoma, S.N., 2019, Near-field receiving-water monitoring of trace metals and a benthic community near the Palo Alto Regional Water Quality Control Plant in south San Francisco Bay, California—2018: U.S. Geological Survey Open-File Report 2019–1084, 41 p., https://doi.org/10.3133/ofr20191084.","productDescription":"vi, 41 p.","numberOfPages":"41","onlineOnly":"Y","ipdsId":"IP-109149","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"links":[{"id":416180,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/ofr20161118","text":"Open-File Report 2016-1118","linkHelpText":"- Near-field receiving water monitoring of trace metals and a benthic community near the Palo Alto Regional Water Quality Control Plant in south San Francisco Bay, California; 2015"},{"id":416181,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/ofr20171135","text":"Open-File Report 2017-1135","linkHelpText":"- Near-field receiving water monitoring of trace metals and a benthic community near the Palo Alto Regional Water Quality Control Plant in south San Francisco Bay, California; 2016"},{"id":416182,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/ofr20181107","text":"Open-File Report 2018-1107","linkHelpText":"- Near-field receiving-water monitoring of trace metals and a benthic community near the Palo Alto Regional Water Quality Control Plant in south San Francisco Bay, California—2017"},{"id":416184,"rank":6,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/ofr20211079","text":"Open-File Report 2021-1079","linkHelpText":"- Near-Field Receiving-Water Monitoring of Trace Metals and a Benthic Community Near the Palo Alto Regional Water Quality Control Plant in South San Francisco Bay, California—2019"},{"id":368964,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1084/ofr20191084.pdf","text":"Report","size":"6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Open-FIle Report 2019-1084"},{"id":368963,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1084/coverthb.jpg"},{"id":416185,"rank":7,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/ofr20231017","text":"Open-File Report 2023-1017","linkHelpText":"- Near-Field Receiving-Water Monitoring of Trace Metals and a Benthic Community Near the Palo Alto Regional Water Quality Control Plant in South San Francisco Bay, California—2020"}],"country":"United States","state":"California","otherGeospatial":"Palo Alto Regional Water Quality Control Plant","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.14187622070311,\n 37.43179575348695\n ],\n [\n -122.08419799804689,\n 37.43179575348695\n ],\n [\n -122.08419799804689,\n 37.48085213924346\n ],\n [\n -122.14187622070311,\n 37.48085213924346\n ],\n [\n -122.14187622070311,\n 37.43179575348695\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director,
Earth System Processes Division
U.S. Geological Survey
411 National Center
12201 Sunrise Valley Drive
Reston, VA 20192
Keys to Henslow’s Sparrow (Centronyx henslowii) management are providing large grasslands with tall, dense, herbaceous vegetation and well-developed litter; avoiding habitat disturbances during the breeding season; and controlling plant succession. Henslow’s Sparrows have been reported to use habitats with less than or equal to (≤) 122 centimeters (cm) average vegetation height, 25–80 cm visual obstruction reading, 35–51 percent grass cover, 10–55 percent forb cover, ≤2 percent shrub cover, ≤5 percent bare ground, 15–30 percent litter cover, and less than 13 cm litter depth.
Director, Northern Prairie Wildlife Research Center
U.S. Geological Survey
8711 37th Street Southeast
Jamestown, ND 58401
Sauger (Sander canadensis) supported recreational and commercial fisheries in Lake Erie until the fishery collapsed in the early-1950s, with extirpation of sauger occurring soon after. Previous attempts to rebuild populations via stocking programs were unsuccessful, and the reasons for lack of success are unclear. The Ohio Department of Natural Resources-Division of Wildlife is re-examining the feasibility of reintroducing sauger because the current fish community and habitat conditions appear more suitable for sauger survival and proliferation. Selecting potential sources for reintroduction programs requires consideration of several factors. Donor and recipient ecosystems and life histories should be similar, the source population should have sufficient genetic diversity to withstand losses in diversity associated with hatchery practices, and the source and donor populations should have similar genetic diversity metrics and should be accessible while broodstock is developed. A review of the literature and a genetic analysis of historical sauger collections from Lake Erie and contemporary samples from possible donor populations in five different watersheds was performed to evaluate potential candidate sources for a re-introduction program. We compared genetic diversity, life history parameters, and ecosystem conditions of historical Lake Erie sauger to contemporary sauger populations from the Ohio River (Bellville, Meldahl, and New Cumberland pools), Missouri River, Ottawa River, Lake of the Woods, and Lake Winnebago. While life history and ecological conditions were similar across populations, there was genetic differentiation among potential donor sources and historical collections of sauger from Lake Erie, with contemporary populations from the Ohio River being most like historic Lake Erie sauger.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2019.09.027","usgsCitation":"Hartman, T., Tyson, J., Page, K., and Stott, W., 2019, Evaluation of potential sources of sauger Sander canadensis for reintroduction into Lake Erie: Journal of Great Lakes Research, v. 45, no. 6, p. 1299-1309, https://doi.org/10.1016/j.jglr.2019.09.027.","productDescription":"11 p.","startPage":"1299","endPage":"1309","ipdsId":"IP-102678","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":459247,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2019.09.027","text":"Publisher Index Page"},{"id":368956,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Lake Erie","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.726806640625,\n 41.68111756290652\n ],\n [\n -82.650146484375,\n 41.261291493919884\n ],\n [\n -81.683349609375,\n 41.376808565702355\n ],\n [\n -79.98046875,\n 41.983994270935625\n ],\n [\n -78.673095703125,\n 42.73894375124377\n ],\n [\n -78.673095703125,\n 42.94838139765314\n ],\n [\n -79.22241210937499,\n 43.0287452513488\n ],\n [\n -80.123291015625,\n 42.93229601903058\n ],\n [\n -80.48583984375,\n 42.867912483915305\n ],\n [\n -80.518798828125,\n 42.71473218539458\n ],\n [\n -80.96923828125,\n 42.8115217450979\n ],\n [\n -81.38671875,\n 42.771211138625894\n ],\n [\n -81.925048828125,\n 42.601619944327965\n ],\n [\n -82.28759765625,\n 42.27730877423709\n ],\n [\n -82.760009765625,\n 42.09822241118974\n ],\n [\n -82.97973632812499,\n 42.16340342422401\n ],\n [\n -83.14453125,\n 42.26917949243506\n ],\n [\n -83.419189453125,\n 42.06560675405716\n ],\n [\n -83.529052734375,\n 41.80407814427234\n ],\n [\n -83.726806640625,\n 41.68111756290652\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"45","issue":"6","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hartman, Travis","contributorId":220316,"corporation":false,"usgs":false,"family":"Hartman","given":"Travis","email":"","affiliations":[{"id":37332,"text":"Ohio Department of Natural Resources, Division of Wildlife","active":true,"usgs":false}],"preferred":false,"id":774712,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tyson, Jeff","contributorId":147298,"corporation":false,"usgs":false,"family":"Tyson","given":"Jeff","affiliations":[],"preferred":false,"id":774713,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Page, Kevin","contributorId":197596,"corporation":false,"usgs":false,"family":"Page","given":"Kevin","affiliations":[],"preferred":false,"id":774714,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stott, Wendylee 0000-0002-5252-4901 wstott@usgs.gov","orcid":"https://orcid.org/0000-0002-5252-4901","contributorId":191249,"corporation":false,"usgs":true,"family":"Stott","given":"Wendylee","email":"wstott@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":774711,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70212493,"text":"70212493 - 2019 - Overview, chronology, and impacts of the 2016–2017 eruption of Bogoslof volcano, Alaska","interactions":[],"lastModifiedDate":"2020-08-18T17:20:45.396543","indexId":"70212493","displayToPublicDate":"2019-11-05T12:15:30","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1109,"text":"Bulletin of Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"Overview, chronology, and impacts of the 2016–2017 eruption of Bogoslof volcano, Alaska","docAbstract":"The 2016–2017 eruption of Bogoslof volcano, a back-arc shallow submarine volcano in Alaska’s Aleutian arc, began in December 2016 and included 70 explosive events and at least two episodes of subaerial dome building. Because the volcano had no local monitoring stations during the eruption, a combination of distant seismic stations, regional infrasound sensors, lightning detection, a variety of satellite data and observer reports, and a field visit in 2018, were used to recreate the events that occurred during the nine-month eruption. Following precursory seismicity that started in September 2016, the eruption began in December 2016 with a series of explosive events that persisted through mid-March 2017. After a 6-week hiatus, activity resumed on May 17 and lasted through the end of August 2017 and consisted of additional explosions and two short-lived subaerial lava domes that formed in June and August. For most of the eruption, Bogoslof’s vent was submerged in shallow seawater, though during several of the longer events a subaerial edifice grew, and the vent migrated above sea level resulting in more ash-rich volcanic clouds. Eruptive products, geophysical signals, and eruptive style are all broadly consistent with vulcanian activity where slow magma ascent led to repetitive dome or plug formation, overpressurization in the upper conduit, and sudden release during short-lived explosions. Infiltration of seawater may have prohibited large domes from forming especially in the first half of the eruption when explosions were closely spaced in time. The largest four explosions in the sequence occurred after inter-event times of 10 days or more. Three events produced ashfall on nearby communities and mariners east and south of Bogoslof and the eruption resulted in dozens of flight cancelations and flight diversions around the volcano and its ash clouds.
","language":"English","publisher":"Springer","doi":"10.1007/s00445-019-1322-9","usgsCitation":"Coombs, M.L., Wallace, K.L., Cameron, C., Lyons, J.J., Wech, A., Angeli, K.M., and Cervelli, P., 2019, Overview, chronology, and impacts of the 2016–2017 eruption of Bogoslof volcano, Alaska: Bulletin of Volcanology, v. 81, 62, 23 p., https://doi.org/10.1007/s00445-019-1322-9.","productDescription":"62, 23 p.","ipdsId":"IP-107331","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":377621,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Bogoslof volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -169.573974609375,\n 52.859180945520826\n ],\n [\n -165.9869384765625,\n 52.859180945520826\n ],\n [\n -165.9869384765625,\n 54.559322587438636\n ],\n [\n -169.573974609375,\n 54.559322587438636\n ],\n [\n -169.573974609375,\n 52.859180945520826\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"81","noUsgsAuthors":false,"publicationDate":"2019-11-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Coombs, Michelle L. 0000-0002-6002-6806 mcoombs@usgs.gov","orcid":"https://orcid.org/0000-0002-6002-6806","contributorId":2809,"corporation":false,"usgs":true,"family":"Coombs","given":"Michelle","email":"mcoombs@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":796572,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wallace, Kristi L. 0000-0002-0962-048X kwallace@usgs.gov","orcid":"https://orcid.org/0000-0002-0962-048X","contributorId":3454,"corporation":false,"usgs":true,"family":"Wallace","given":"Kristi","email":"kwallace@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":796573,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cameron, Cheryl","contributorId":139951,"corporation":false,"usgs":false,"family":"Cameron","given":"Cheryl","affiliations":[{"id":13214,"text":"State of Alaska, Division of Geological and Geophysical Surveys","active":true,"usgs":false}],"preferred":false,"id":796574,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lyons, John J. 0000-0001-5409-1698 jlyons@usgs.gov","orcid":"https://orcid.org/0000-0001-5409-1698","contributorId":5394,"corporation":false,"usgs":true,"family":"Lyons","given":"John","email":"jlyons@usgs.gov","middleInitial":"J.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":796575,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wech, Aaron 0000-0003-4983-1991","orcid":"https://orcid.org/0000-0003-4983-1991","contributorId":202561,"corporation":false,"usgs":true,"family":"Wech","given":"Aaron","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":796576,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Angeli, Kim M. 0000-0003-2427-3241 kangeli@usgs.gov","orcid":"https://orcid.org/0000-0003-2427-3241","contributorId":238809,"corporation":false,"usgs":true,"family":"Angeli","given":"Kim","email":"kangeli@usgs.gov","middleInitial":"M.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":796577,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cervelli, Peter 0000-0001-6765-1009","orcid":"https://orcid.org/0000-0001-6765-1009","contributorId":215619,"corporation":false,"usgs":true,"family":"Cervelli","given":"Peter","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":796578,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70216115,"text":"70216115 - 2019 - Submergence responses of cool-season annual plants and potential for fish habitat","interactions":[],"lastModifiedDate":"2020-11-05T17:40:04.619213","indexId":"70216115","displayToPublicDate":"2019-11-05T11:30:53","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Submergence responses of cool-season annual plants and potential for fish habitat","docAbstract":"Unnatural water regimes of flood control reservoirs limit vegetation establishment in littoral zones and produce mudflats with low structural complexity insufficient for many juvenile fishes. One strategy to enhance habitat on mudflats is to sow cool-season plants to provide submerged structure when inundated. However, how long the structure of these plants persists following inundation has not been evaluated. To investigate the species-specific responses of cool-season plants to inundation, we submerged six cool-season plant species in outdoor flow-through tanks and monitored maximum height and density of plant structures over time. Time-to-event analyses and generalized linear models were used to characterize differences in structural persistence between species over time. Plantings degraded rapidly if inundated before plant maturity. However, mature plants of Marshall Ryegrass Lolium multiflorum and Triticale Triticosecale provided dense structure for periods long enough to provide refuge for juvenile fish. As Ryegrass degraded, stem density decreased producing wide gaps relative to Triticale which remained dense and complex. Differences in plant architecture may influence the quality of habitat and which fish species and age class utilize each planting. Our results indicate that cool-season grasses planted in mudflats can persist after inundation long enough to enhance seasonal fish habitat and differences in plant structural characteristics may allow managers more flexibility to target desirable fish species.","language":"English","doi":"10.1002/nafm.10359","usgsCitation":"Coppola, G., Miranda, L.E., Colvin, M., Hatcher, H., and Lashley, M., 2019, Submergence responses of cool-season annual plants and potential for fish habitat: North American Journal of Fisheries Management, v. 39, no. 6, p. 1269-1276, https://doi.org/10.1002/nafm.10359.","productDescription":"8 p.","startPage":"1269","endPage":"1276","ipdsId":"IP-107749","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":380200,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"39","issue":"6","noUsgsAuthors":false,"publicationDate":"2019-09-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Coppola, G","contributorId":244565,"corporation":false,"usgs":false,"family":"Coppola","given":"G","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":804174,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miranda, Leandro E. 0000-0002-2138-7924 smiranda@usgs.gov","orcid":"https://orcid.org/0000-0002-2138-7924","contributorId":531,"corporation":false,"usgs":true,"family":"Miranda","given":"Leandro","email":"smiranda@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":804175,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Colvin, ME","contributorId":244566,"corporation":false,"usgs":false,"family":"Colvin","given":"ME","email":"","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":804176,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hatcher, HR","contributorId":244567,"corporation":false,"usgs":false,"family":"Hatcher","given":"HR","email":"","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":804177,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lashley, Marcus A.","contributorId":187467,"corporation":false,"usgs":false,"family":"Lashley","given":"Marcus A.","affiliations":[],"preferred":false,"id":804178,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70216114,"text":"70216114 - 2019 - Precision of VS30 values derived from noninvasive surface wave methods at 31 sites in California","interactions":[],"lastModifiedDate":"2020-11-06T13:00:48.262865","indexId":"70216114","displayToPublicDate":"2019-11-05T11:17:28","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3418,"text":"Soil Dynamics and Earthquake Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Precision of VS30 values derived from noninvasive surface wave methods at 31 sites in California","docAbstract":"We study the inter- and intra-method variability of VS30 results by inverting/forward-modeling individual dispersion data for 31 seismographic stations located in California where combinations of surface-wave methods were applied and the minimum recorded wavelength from each method satisfies the 30-meter depth criteria. These methods consist of noninvasive geophysical (active and passive surface-wave techniques) multi-station approaches, including the Multi-channel Analysis of Surface Waves (MASW; Rayleigh and Love waves), Spectral Analysis of Surface Waves (SASW), Microtremor Array [using Extended Spatial Autocorrelation (ESAC) processing methods], and Refraction Microtremor (ReMi) methods. Depending on the apparent geologic or seismic complexity of the site, field crews applied one or a combination of these methods whenever economically feasible to estimate the one-dimensional shear-wave velocity (VS) profile and calculate VS30, the time-averaged VS to a depth of 30 m. For each of the 31 sites, we find both types of variability in VS30 estimates generally remain insignificant (arithmetic mean of 5 % difference). We also find similar results (3 %) when we evaluate individual-method based VS30 estimates against composite-method based estimates. We note that VS30 values vary insignificantly when using a combination of complementary methods, e.g., active MASW data combined with passive MAM data, and that the most reliable results are also based on close fitting of the theoretical dispersion data to the representative (experimental) dispersion data.","language":"English","publisher":"Elsevier","doi":"10.1016/j.soildyn.2019.105802","usgsCitation":"Yong, A.K., Martin, A., and Boatwright, J., 2019, Precision of VS30 values derived from noninvasive surface wave methods at 31 sites in California: Soil Dynamics and Earthquake Engineering, v. 127, 105802, 13 p., https://doi.org/10.1016/j.soildyn.2019.105802.","productDescription":"105802, 13 p.","ipdsId":"IP-100939","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":380199,"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 -122.84912109375,\n 32.47269502206151\n ],\n [\n -113.5546875,\n 32.47269502206151\n ],\n [\n -113.5546875,\n 38.06539235133249\n ],\n [\n -122.84912109375,\n 38.06539235133249\n ],\n [\n -122.84912109375,\n 32.47269502206151\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"127","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Yong, Alan K. 0000-0003-1807-5847","orcid":"https://orcid.org/0000-0003-1807-5847","contributorId":244564,"corporation":false,"usgs":true,"family":"Yong","given":"Alan","email":"","middleInitial":"K.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":804171,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martin, Antony","contributorId":243672,"corporation":false,"usgs":false,"family":"Martin","given":"Antony","affiliations":[],"preferred":false,"id":804172,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boatwright, Jack 0000-0002-6931-5241","orcid":"https://orcid.org/0000-0002-6931-5241","contributorId":205346,"corporation":false,"usgs":true,"family":"Boatwright","given":"Jack","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":804173,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70208701,"text":"70208701 - 2019 - Streambed flux measurement informed by distributed temperature sensing leads to a significantly different characterization of groundwater discharge","interactions":[],"lastModifiedDate":"2020-02-25T09:00:17","indexId":"70208701","displayToPublicDate":"2019-11-05T08:58:01","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"title":"Streambed flux measurement informed by distributed temperature sensing leads to a significantly different characterization of groundwater discharge","docAbstract":"Groundwater discharge though streambeds is often focused toward discrete zones, indicating that preliminary reconnaissance may be useful for capturing the full spectrum of groundwater discharge rates using point-scale quantitative methods. However, many direct-contact reconnaissance techniques can be time consuming, and remote sensing (e.g. thermal infrared) typically does not penetrate the water column to locate submerged seepages. In this study we tested whether dozens of groundwater discharge measurements made at \"uninformed\" (i.e., selected without knowledge on high-resolution temperature variations at the streambed) point locations along a reach would yield significantly different Darcy-based groundwater discharge rates when compared with “informed” measurements, focused at streambed thermal anomalies that were identified a-priori using fiber-optic distributed temperature sensing (FO-DTS). A non-parametric U-test showed a significant difference between median discharge rates for uninformed (0.05 m·d-1; n = 30) and informed (0.17 m·d-1; n = 20) measurement locations. Mean values followed a similar pattern (0.12 versus 0.27 m·d-1) and frequency distributions for uninformed and informed measurements were also significantly different based on a Kolmogorov-Smirnov test. Results suggest that even using a quick “snapshot-in-time” field analysis of FO-DTS data can be useful in streambeds with groundwater discharge rates <0.2 m·d-1, a lower threshold than proposed in a previous study. Collectively, study results highlight that FO-DTS is a powerful technique for identifying higher-discharge zones in streambeds, but the pros and cons of informed and uninformed sampling depend in part on groundwater/surface water exchange study goals. For example, studies focused on measuring representative groundwater and solute fluxes may be biased if high-discharge locations are preferentially sampled. However, identification of high-discharge locations may complement more randomized sampling plans and lead to improvements in interpolating streambed fluxes and upscaling point measurements to the stream reach scale.","language":"English","publisher":"MDPI","doi":"10.3390/w11112312","usgsCitation":"Gilmore, T.E., Johnson, M.V., Korus, J., Mittelstet, A.R., Briggs, M.A., Zlotnik, V., and Corcoran, S., 2019, Streambed flux measurement informed by distributed temperature sensing leads to a significantly different characterization of groundwater discharge: Water, v. 11, no. 11, 2312, 15 p., https://doi.org/10.3390/w11112312.","productDescription":"2312, 15 p.","ipdsId":"IP-113096","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":459253,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w11112312","text":"Publisher Index 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PAGER rapidly assesses earthquake impacts by combining populations exposed to estimates of shaking intensity with models of economic and fatality losses based on past earthquakes in each country or region of the world. The main purpose of the PAGER system is to inform emergency responders, government and aid agencies, and the media regarding the scope of the potential disaster. Earthquake alerts – which were formerly sent based on event magnitude and location or population exposure to shaking – are generated based on the estimated range of fatalities and/or economic losses.
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In Tennessee, fisheries for Largemouth Bass are concentrated in reservoirs of the Cumberland and Tennessee River systems; however, Florida Bass stockings have to date been restricted to two reservoirs of the Tennessee River and have varied significantly in extent and duration. We quantified levels of genetic admixture between Florida Bass and Largemouth Bass using 38 species-diagnostic single nucleotide polymorphisms for 979 fish sampled from 14 reservoirs from the Cumberland and Tennessee River systems. We tested for differences in genetic admixture across river systems and evaluated the relative importance of fish stockings in explaining observed levels of genetic admixture. Levels of genetic admixture and associated variation was higher in reservoirs of the Tennessee River (range = 6.3 – 30.4 average percent Florida Bass alleles) relative to the Cumberland River (range = 5.7 – 13.4 %), but admixture was not solely related to stocking rates. The highest levels of Florida Bass introgression were detected in Chickamauga Reservoir, the most extensively stocked reservoir in the state. Linear models identified fish stocked as a significant overall predictor of admixture, but we also observed stocked and unstocked reservoirs with similar levels of admixture, suggesting factors other than stocking influence population genetics. Our statewide assessment of reservoir-level patterns of hybridization among black bass was performed prior to the recent expansion of Florida Bass stocking efforts in Tennessee, and thus, represents a baseline for evaluating future stocking.","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.10295","usgsCitation":"Hargrove, J., Rogers, M.W., Kackmar, P., and Black, P., 2019, A statewide evaluation of Florida Bass genetic introgression in Tennessee: North American Journal of Fisheries Management, v. 39, no. 4, p. 637-651, https://doi.org/10.1002/nafm.10295.","productDescription":"16 p.","startPage":"637","endPage":"651","ipdsId":"IP-099890","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":380176,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Tennessee","otherGeospatial":"Tennessee River 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\"}}]}","volume":"39","issue":"4","noUsgsAuthors":false,"publicationDate":"2019-04-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Hargrove, John S.","contributorId":244463,"corporation":false,"usgs":false,"family":"Hargrove","given":"John S.","affiliations":[{"id":35244,"text":"Tennessee Technological University","active":true,"usgs":false}],"preferred":false,"id":804002,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":804003,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kackmar, P.T.","contributorId":244464,"corporation":false,"usgs":false,"family":"Kackmar","given":"P.T.","email":"","affiliations":[{"id":35244,"text":"Tennessee Technological University","active":true,"usgs":false}],"preferred":false,"id":804004,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Black, P.","contributorId":52363,"corporation":false,"usgs":true,"family":"Black","given":"P.","email":"","affiliations":[],"preferred":false,"id":804005,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70216084,"text":"70216084 - 2019 - Changes in adult Chinook salmon (Oncorhynchus tshawytscha) survival within the lower Columbia River amid increasing pinniped abundance","interactions":[],"lastModifiedDate":"2020-11-04T20:36:49.418521","indexId":"70216084","displayToPublicDate":"2019-11-04T14:30:58","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":6455,"text":"Canadian Journal Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Changes in adult Chinook salmon (Oncorhynchus tshawytscha) survival within the lower Columbia River amid increasing pinniped abundance","docAbstract":"Significant effort towards conservation has contributed to the recovery of historically depleted pinniped populations world-wide. However, in several locations where pinnipeds have increased, they have been blamed for preventing the recovery of commercially valuable fish species through predation. Prompted by increasing pinniped abundance within the Columbia River (CR) USA, over a six year period, we used Passive Integrated Transponder tags to measure the survival of adult spring-run Chinook salmon (Oncorhynchus tshawytscha) through the estuary and lower CR to Bonneville Dam (Rkm 234). We estimated 51 751 - 224 705 salmon died annually from sources other than harvest. Mixed-effects logistic regression modelling identified pinniped predation as the most likely source. The odds of survival was estimated to decrease by 32% (95% CI: 6%-51% decrease) for every additional 467 sea lions, and to increase by 32% (95% CI: 8%-61% increase) for every increase of 1.5 in the log of American shad (Alosa sapidissima), a potential prey item for sea lions. A third covariate was the adipose clip status of the fish, indicating whether it was eligible for harvest.","language":"English","doi":"10.1139/cjfas-2018-0290","usgsCitation":"Wargo Rub, A.M., Som, N.A., Henderson, M., Sandford, B.P., Van Doornik, D.M., Teel, D.J., Tennis, M., Langness, O.P., van der Leeuw, B., and Huff, D.D., 2019, Changes in adult Chinook salmon (Oncorhynchus tshawytscha) survival within the lower Columbia River amid increasing pinniped abundance: Canadian Journal Fisheries and Aquatic Sciences, v. 76, no. 10, p. 1862-1873, https://doi.org/10.1139/cjfas-2018-0290.","productDescription":"12 p.","startPage":"1862","endPage":"1873","ipdsId":"IP-098832","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":380174,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon, Washington","otherGeospatial":"Columbia River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.10705566406249,\n 45.97406038956237\n ],\n [\n -123.1622314453125,\n 45.97406038956237\n ],\n [\n -123.1622314453125,\n 46.45678142812658\n ],\n [\n -124.10705566406249,\n 46.45678142812658\n ],\n [\n -124.10705566406249,\n 45.97406038956237\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"76","issue":"10","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wargo Rub, A. Michelle","contributorId":148962,"corporation":false,"usgs":false,"family":"Wargo Rub","given":"A.","email":"","middleInitial":"Michelle","affiliations":[{"id":17605,"text":"NOAA, Seattle, WA","active":true,"usgs":false}],"preferred":false,"id":803978,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Som, Nicholas A.","contributorId":203773,"corporation":false,"usgs":false,"family":"Som","given":"Nicholas","email":"","middleInitial":"A.","affiliations":[{"id":36713,"text":"Statistician, USFWS - Arcata Fisheries Program, Humboldt State University","active":true,"usgs":false}],"preferred":false,"id":803979,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Henderson, Mark J. 0000-0002-2861-8668 mhenderson@usgs.gov","orcid":"https://orcid.org/0000-0002-2861-8668","contributorId":198609,"corporation":false,"usgs":true,"family":"Henderson","given":"Mark J.","email":"mhenderson@usgs.gov","affiliations":[],"preferred":false,"id":803980,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sandford, Benjamin P.","contributorId":147434,"corporation":false,"usgs":false,"family":"Sandford","given":"Benjamin","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":803981,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Van Doornik, Donald M.","contributorId":244452,"corporation":false,"usgs":false,"family":"Van Doornik","given":"Donald","email":"","middleInitial":"M.","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":803982,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Teel, David J.","contributorId":244453,"corporation":false,"usgs":false,"family":"Teel","given":"David","email":"","middleInitial":"J.","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":803983,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Tennis, Matt","contributorId":244454,"corporation":false,"usgs":false,"family":"Tennis","given":"Matt","email":"","affiliations":[{"id":39900,"text":"PSMFC","active":true,"usgs":false}],"preferred":false,"id":803984,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Langness, Olaf P.","contributorId":244455,"corporation":false,"usgs":false,"family":"Langness","given":"Olaf","email":"","middleInitial":"P.","affiliations":[{"id":13674,"text":"WDFW","active":true,"usgs":false}],"preferred":false,"id":803985,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"van der Leeuw, Bjorn","contributorId":244456,"corporation":false,"usgs":false,"family":"van der Leeuw","given":"Bjorn","affiliations":[{"id":48914,"text":"coe","active":true,"usgs":false}],"preferred":false,"id":803986,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Huff, David D.","contributorId":171694,"corporation":false,"usgs":false,"family":"Huff","given":"David","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":803987,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70216094,"text":"70216094 - 2019 - Evaluation of artificial cover units as a sampling technique and habitat enhancement for madtoms in rivers","interactions":[],"lastModifiedDate":"2020-11-04T20:21:05.601625","indexId":"70216094","displayToPublicDate":"2019-11-04T14:13:58","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of artificial cover units as a sampling technique and habitat enhancement for madtoms in rivers","docAbstract":"Instream habitat degradation and loss are major threats to freshwater fishes and critical conservation issues among nongame species, due to a lack of research and knowledge concerning their habitat requirements. Instream physical cover is an important component of fish habitat, especially for benthic species that require cover for reproduction and shelter from predators. One such species is the Carolina Madtom Noturus furiosus, a small, imperiled, nongame catfish endemic to the Neuse and Tar river basins of North Carolina. To enhance understanding of instream cover dynamics, we constructed artificial cover units from terra cotta materials and deployed them in rivers to (1) evaluate if they could be an effective passive sampling technique to estimate detection and occupancy of the Carolina Madtom, and (2) determine their potential to enhance habitat in systems where instream cover has been lost. Artificial cover units were deployed at 8 sites in the Neuse and Tar river basins, and collected 30 Carolina Madtoms at 2 sites in the Tar River basin. Occupancy modeling estimated Carolina Madtom detection probability using artificial cover units at 0.92. Compared to other standardized sampling methods, artificial cover units were an efficient, passive sampling technique for detecting Carolina Madtoms. Observations also revealed that artificial cover units were occupied by Carolina Madtoms for reproduction. These findings provide natural resource managers an additional means to assess the status of this imperiled species using an inexpensive, passive sampling device that can provide spawning habitat, protection from predators, and help mitigate effects of instream habitat degradation. ","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.10317","usgsCitation":"Cope, W.R., Kwak, T.J., Black, T.R., and Pacifici, K., 2019, Evaluation of artificial cover units as a sampling technique and habitat enhancement for madtoms in rivers: North American Journal of Fisheries Management, v. 39, no. 4, p. 778-787, https://doi.org/10.1002/nafm.10317.","productDescription":"10 p.","startPage":"778","endPage":"787","ipdsId":"IP-107879","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":380172,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","otherGeospatial":"Neuse and Tar River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.9207763671875,\n 34.69646117272349\n ],\n [\n -76.04736328125,\n 34.903952965590065\n ],\n [\n -75.9814453125,\n 35.51434313431818\n ],\n [\n -78.057861328125,\n 36.25313319699069\n ],\n [\n -78.629150390625,\n 36.25313319699069\n ],\n [\n -78.59619140625,\n 35.88459964717596\n ],\n [\n -78.4698486328125,\n 35.523285179107816\n ],\n [\n -78.2171630859375,\n 35.205233347514536\n ],\n [\n -76.9207763671875,\n 34.69646117272349\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"39","issue":"4","noUsgsAuthors":false,"publicationDate":"2019-07-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Cope, W. R.","contributorId":244492,"corporation":false,"usgs":false,"family":"Cope","given":"W.","email":"","middleInitial":"R.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":804053,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kwak, Thomas J. 0000-0002-0616-137X tkwak@usgs.gov","orcid":"https://orcid.org/0000-0002-0616-137X","contributorId":834,"corporation":false,"usgs":true,"family":"Kwak","given":"Thomas","email":"tkwak@usgs.gov","middleInitial":"J.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":804054,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Black, T. R.","contributorId":244493,"corporation":false,"usgs":false,"family":"Black","given":"T.","email":"","middleInitial":"R.","affiliations":[{"id":38108,"text":"NA","active":true,"usgs":false}],"preferred":false,"id":804055,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pacifici, Krishna","contributorId":244494,"corporation":false,"usgs":false,"family":"Pacifici","given":"Krishna","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":804056,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70208865,"text":"70208865 - 2019 - Effects of invasive plants on fire regimes and postfire vegetation diversity in an arid ecosystem","interactions":[],"lastModifiedDate":"2020-03-03T14:09:02","indexId":"70208865","displayToPublicDate":"2019-11-04T14:06:40","publicationYear":"2019","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":"Effects of invasive plants on fire regimes and postfire vegetation diversity in an arid ecosystem","docAbstract":"We assessed the impacts of co‐occurring invasive plant species on fire regimes and postfire native communities in the Mojave Desert, western USA. We analyzed the distribution and co‐occurrence patterns of three invasive annual grasses (Bromus rubens, Bromus tectorum, and Schismus spp.) known to alter fuel conditions and community structure, and an invasive forb (Erodium cicutarium) which dominates postfire sites. We developed species distribution models (SDMs) for each of the four taxa and analyzed field plot data to assess the relationship between invasives and fire frequency, years postfire, and the impacts on postfire native herbaceous diversity. Most of the Mojave Desert is highly suitable for at least one of the four invasive species, and 76% of the ecoregion is predicted to have high or very high suitability for the joint occurrence of B. rubens and B. tectorum and 42% high or very high suitability for the joint occurrence of the two Bromus species and E. cicutarium. Analysis of cover from plot data indicated two or more of the species occurred in 77% of the plots, with their cover doubling with each additional species. We found invasive cover in burned plots increased for the first 20 years postfire and recorded two to five times more cover in burned than unburned plots. Analysis also indicated that native species diversity and evenness as negatively associated with higher levels of relative cover of the four invasive taxa. Our findings revealed overlapping distributions of the four invasives; a strong relationship between the invasives and fire frequency; and significant negative impacts of invasives on native herbaceous diversity in the Mojave. This suggests predicting the distributions of co‐occurring invasive species, especially transformer species, will provide a better understanding of where native‐dominated communities are most vulnerable to transformations following fire or other disturbances.","language":"English","publisher":"Wiley","doi":"10.1002/ece3.5650","usgsCitation":"Underwood, E., Klinger, R.C., and Brooks, M.L., 2019, Effects of invasive plants on fire regimes and postfire vegetation diversity in an arid ecosystem: Ecology and Evolution, v. 9, no. 22, p. 12421-12435, https://doi.org/10.1002/ece3.5650.","productDescription":"15 p.","startPage":"12421","endPage":"12435","ipdsId":"IP-112629","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":459266,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.5650","text":"Publisher Index Page"},{"id":437289,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9GUST4Q","text":"USGS data release","linkHelpText":"Invasive Plant Cover in the Mojave Desert, 2009 - 2013 (ver. 2.0, April 2021)"},{"id":372874,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Nevada","otherGeospatial":"Mojave Desert","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.3946533203125,\n 33.65578083204094\n ],\n [\n -114.70275878906249,\n 33.280027811732154\n ],\n [\n -114.40612792968749,\n 35.14686290675633\n ],\n [\n -115.77941894531249,\n 35.92464453144099\n ],\n [\n -116.70227050781249,\n 35.420391545750746\n ],\n [\n -117.32299804687499,\n 34.985003130171066\n ],\n [\n -116.83959960937499,\n 34.347971491244955\n ],\n [\n -116.3946533203125,\n 33.65578083204094\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"9","issue":"22","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2019-11-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Underwood, Emma C.","contributorId":204451,"corporation":false,"usgs":false,"family":"Underwood","given":"Emma C.","affiliations":[],"preferred":false,"id":783733,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Klinger, Robert C. 0000-0003-3193-3199 rcklinger@usgs.gov","orcid":"https://orcid.org/0000-0003-3193-3199","contributorId":5395,"corporation":false,"usgs":true,"family":"Klinger","given":"Robert","email":"rcklinger@usgs.gov","middleInitial":"C.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":783734,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brooks, Matthew L. 0000-0002-3518-6787 mlbrooks@usgs.gov","orcid":"https://orcid.org/0000-0002-3518-6787","contributorId":393,"corporation":false,"usgs":true,"family":"Brooks","given":"Matthew","email":"mlbrooks@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":783732,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70216095,"text":"70216095 - 2019 - Puerto Rico Sicydium goby diversity: Species-specific insights on population structures and distributions","interactions":[],"lastModifiedDate":"2020-11-05T12:47:29.837659","indexId":"70216095","displayToPublicDate":"2019-11-04T13:33:44","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7349,"text":"Neotropical Biodiversity","active":true,"publicationSubtype":{"id":10}},"title":"Puerto Rico Sicydium goby diversity: Species-specific insights on population structures and distributions","docAbstract":"Sicydiine gobies are major contributors to Caribbean stream fish biodiversity, and ecosystem functions and services. In the Caribbean, Sicydiine gobies are represented by a single genus, Sicydium, but species-level Sicydium taxonomy and distributions remain unresolved in this region. A previous study posited that four species of Sicydium are present in Puerto Rico, including the recently described Sicydium gilberti; however, that study relied solely on morphological characters, and samples from a limited number of locations. Identification of Sicydium to species in studies with more comprehensive sampling has not occurred due to the impracticality of field identification. In our study, we employed morphological data and Mitochondrial Cytochrome C Oxidase I (mtCOI) genetic sequence data, collected from over 500 Sicydium spp. individuals at 16 broadly distributed sites, to provide an inventory of the species of Sicydium that occur in Puerto Rico. Additionally, we reveal new information on the spatial patterns of distribution, relative abundance, population structure, and observed molecular diversity among Sicydium taxa in Puerto Rico’s river systems. This information is essential to advance ecological and evolutionary knowledge of Caribbean fish assemblages, guide stream fish conservation, and for effective management of fisheries.","language":"English","publisher":"Taylor & Francis Online","doi":"10.1080/23766808.2019.1606669","usgsCitation":"Engman, A., Hogue, G., Starnes, W., Raley, M.E., and Kwak, T.J., 2019, Puerto Rico Sicydium goby diversity: Species-specific insights on population structures and distributions: Neotropical Biodiversity, v. 5, no. 1, p. 22-29, https://doi.org/10.1080/23766808.2019.1606669.","productDescription":"8 p.","startPage":"22","endPage":"29","ipdsId":"IP-104127","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":459268,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/23766808.2019.1606669","text":"Publisher Index 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E.","contributorId":244497,"corporation":false,"usgs":false,"family":"Raley","given":"M.","email":"","middleInitial":"E.","affiliations":[{"id":48919,"text":"HydroGENomics Consulting","active":true,"usgs":false}],"preferred":false,"id":804060,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kwak, Thomas J. 0000-0002-0616-137X tkwak@usgs.gov","orcid":"https://orcid.org/0000-0002-0616-137X","contributorId":834,"corporation":false,"usgs":true,"family":"Kwak","given":"Thomas","email":"tkwak@usgs.gov","middleInitial":"J.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":804061,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70216081,"text":"70216081 - 2019 - Changes in long-term water quality of Baltimore streams are associated with both gray and green infrastructure","interactions":[],"lastModifiedDate":"2020-11-05T12:52:08.022489","indexId":"70216081","displayToPublicDate":"2019-11-04T12:16:23","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7348,"text":"Limnology and Oceanography journal","active":true,"publicationSubtype":{"id":10}},"title":"Changes in long-term water quality of Baltimore streams are associated with both gray and green infrastructure","docAbstract":"The steadily rising global urban population has placed substantial strain on urban water quality, and this strain is projected to increase for the foreseeable future. Considerable attention has been given to the hydrological and physico-chemical effects of urbanization on stream ecosystems. However, due to the relative infancy of the field of urban ecology, long-term water quality analyses in urban streams are sparse. Using a 15-year stream chemistry monitoring record from Baltimore, MD, USA, we quantified long-term trends in nitrate, phosphate, total nitrogen, total phosphorus, chloride, and sulfate export at several sites along a rural-urban gradient. We found no significant change in solute export at most sites, although we did find specific patterns of interest for certain solutes. For example, nitrogen export declined at the most headwater urban site, while phosphorus export declined at the most downstream urban site. Coupling long-term monitoring with data on gray and green infrastructure management throughout the landscape, we established relationships between solute export at the most downstream urban monitoring site and sanitary sewer overflows (SSOs), best management practice (BMP) implementation, and road salt application rates. Phosphorus export was correlated with BMP implementation in the watershed, whereas nitrogen export was related to SSOs. Despite highly urbanized watersheds, water quality does not appear to be declining at most of these sites, suggesting that current management may have limited further impairment. Results of our study suggest that both gray and green infrastructure are key for maintaining and improving water quality in this highly urbanized watershed.","language":"English","publisher":"Association for the Sciences of Limnology and Oceanography","doi":"10.1002/lno.10947","usgsCitation":"Reisinger, A.J., Woytowitz, E., Majcher, E.H., Rosi, E.J., Belt, K., Duncan, J.M., Kaushal, S., and Groffman, P.M., 2019, Changes in long-term water quality of Baltimore streams are associated with both gray and green infrastructure: Limnology and Oceanography journal, v. 64, no. S1, p. 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2019 - Adapting to climate change: Guidance for the management of inland glacial lake fisheries","interactions":[],"lastModifiedDate":"2022-01-03T15:09:00.42837","indexId":"70227146","displayToPublicDate":"2019-11-04T09:01:03","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2592,"text":"Lake and Reservoir Management","active":true,"publicationSubtype":{"id":10}},"title":"Adapting to climate change: Guidance for the management of inland glacial lake fisheries","docAbstract":"Climate change is altering glacial lake fisheries in the United States, presenting a complex challenge for fisheries managers. Here we provide a regional perspective to guide management of heterogeneous and yet interdependent fishery resources in glacial lakes of the upper Midwest. Our main objective was to promote the adaptation of inland glacial lakes fisheries management to climate change by outlining processes that support regional plans. Using examples from the glacial lakes region, we outline an approach for regional prioritization, specify strategies for moving from regional prioritization to on-the-ground action, and provide guidance on the implementation of management plans given resource limitations and potential stakeholder conflict. We find that integrating ecological, social, and economic data with climate change vulnerability assessments can be useful in generating “lake-priority levels” to help identify where to focus actions to support system resilience. Managers can use lake-priority levels and ecosystem-specific strategies to make decisions about where and when to apply fisheries management action ranging from traditional (i.e., stocking, harvest regulations) to nontraditional approaches (i.e., catchment land management). Although the implementation of several approaches may be beyond an agency’s financial and logistical capacity, funds can be secured through other sources ranging from grant programs to nontraditional partnerships identified by “thinking outside the lake.” Regional plans may be an important step toward successful climate adaptation for inland glacial lakes fisheries management, and the proactive efforts of managers may help facilitate their development and implementation.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/10402381.2019.1678535","usgsCitation":"Tingley, R., Paukert, C.P., Sass, G.G., Jacobson, P.C., Hansen, G.J., Lynch, A., and Shannon, P., 2019, Adapting to climate change: Guidance for the management of inland glacial lake fisheries: Lake and Reservoir Management, v. 35, no. 4, p. 435-452, https://doi.org/10.1080/10402381.2019.1678535.","productDescription":"18 p.","startPage":"435","endPage":"452","ipdsId":"IP-107299","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":393739,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan, Minnesota, Wisconsin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.3642578125,\n 41.60722821271717\n ],\n [\n -82.37548828125,\n 43.14909399920127\n ],\n [\n -83.29833984375,\n 45.3521452458518\n ],\n [\n -83.7158203125,\n 46.28622391806706\n ],\n [\n -85.05615234375,\n 46.89023157359399\n ],\n [\n -87.890625,\n 47.66538735632654\n ],\n [\n -89.58251953125,\n 48.04870994288686\n ],\n [\n -91.0546875,\n 48.268569112964336\n ],\n [\n -91.69189453125,\n 48.1367666796927\n ],\n [\n -92.30712890625,\n 48.40003249610685\n ],\n [\n -94.72412109375,\n 48.79239019646406\n ],\n [\n -94.833984375,\n 49.36806633482156\n ],\n [\n -95.11962890625,\n 49.453842594330716\n ],\n [\n -95.29541015625,\n 48.96579381461063\n ],\n [\n -97.294921875,\n 49.05227025601607\n ],\n [\n -96.70166015624999,\n 46.619261036171515\n ],\n [\n -96.87744140625,\n 45.521743896993634\n ],\n [\n -96.43798828125,\n 45.30580259943578\n ],\n [\n -96.416015625,\n 43.6599240747891\n ],\n [\n -91.14257812499999,\n 43.58039085560784\n ],\n [\n -91.12060546875,\n 42.73087427928485\n ],\n [\n -90.615234375,\n 42.50450285299051\n ],\n [\n -87.82470703125,\n 42.53689200787315\n ],\n [\n -86.50634765625,\n 41.85319643776675\n ],\n [\n -83.408203125,\n 41.705728515237524\n ],\n [\n -83.3642578125,\n 41.60722821271717\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"35","issue":"4","noUsgsAuthors":false,"publicationDate":"2019-11-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Tingley, R.W.","contributorId":270696,"corporation":false,"usgs":false,"family":"Tingley","given":"R.W.","email":"","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":829781,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Paukert, Craig P. 0000-0002-9369-8545","orcid":"https://orcid.org/0000-0002-9369-8545","contributorId":245524,"corporation":false,"usgs":true,"family":"Paukert","given":"Craig","middleInitial":"P.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":829782,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sass, G. G.","contributorId":270697,"corporation":false,"usgs":false,"family":"Sass","given":"G.","email":"","middleInitial":"G.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":829783,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jacobson, P. C.","contributorId":270698,"corporation":false,"usgs":false,"family":"Jacobson","given":"P.","email":"","middleInitial":"C.","affiliations":[{"id":6964,"text":"Minnesota Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":829784,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hansen, G. J. A.","contributorId":270699,"corporation":false,"usgs":false,"family":"Hansen","given":"G.","email":"","middleInitial":"J. A.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":829785,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lynch, Abigail 0000-0001-8449-8392","orcid":"https://orcid.org/0000-0001-8449-8392","contributorId":220490,"corporation":false,"usgs":true,"family":"Lynch","given":"Abigail","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":829786,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Shannon, P. D.","contributorId":270700,"corporation":false,"usgs":false,"family":"Shannon","given":"P. D.","affiliations":[{"id":16203,"text":"Michigan Technological university","active":true,"usgs":false}],"preferred":false,"id":829787,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70206619,"text":"70206619 - 2019 - Mercury source changes and food web shifts alter contamination signatures of predatory fish from Lake Michigan","interactions":[],"lastModifiedDate":"2020-01-03T10:27:36","indexId":"70206619","displayToPublicDate":"2019-11-04T08:12:25","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3164,"text":"Proceedings of the National Academy of Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Mercury source changes and food web shifts alter contamination signatures of predatory fish from Lake Michigan","docAbstract":"To understand the impact reduced mercury (Hg) loading and invasive species have had on methylmercury bioaccumulation in predator fish of Lake Michigan, we reconstructed bioaccumulation trends from a fish archive (1978 to 2012). By measuring fish Hg stable isotope ratios, we related temporal changes in Hg concentrations to varying Hg sources. Additionally, dietary tracers were necessary to identify food web influences. Through combined Hg, C, and N stable isotopic analyses, we were able to differentiate between a shift in Hg sources to fish and periods when energetic transitions (from dreissenid mussels) led to the assimilation of contrasting Hg pools (2000 to present). In the late 1980s, lake trout δ202Hg increased (0.4‰) from regulatory reductions in regional Hg emissions. After 2000, C and N isotopes ratios revealed altered food web pathways, resulting in a benthic energetic shift and changes to Hg bioaccumulation. Continued increases in δ202Hg indicate fish are responding to several United States mercury emission mitigation strategies that were initiated circa 1990 and continued through the 2011 promulgation of the Mercury and Air Toxics Standards rule. Unlike archives of sediments, this fish archive tracks Hg sources susceptible to bioaccumulation in Great Lakes fisheries. Analysis reveals that trends in fish Hg concentrations can be substantially affected by shifts in trophic structure and dietary preferences initiated by invasive species in the Great Lakes. This does not diminish the benefits of declining emissions over this period, as fish Hg concentrations would have been higher without these actions.
","language":"English","publisher":"Proceedings of the National Academy of Sceinces","doi":"10.1073/pnas.1907484116","usgsCitation":"Lepak, R., Hoffman, J.C., Janssen, S., Krabbenhoft, D.P., Ogorek, J.M., DeWild, J.F., Tate, M., Babiarz, C.L., Yin, R., Murphy, E.W., Engstrom, D., and Hurley, J., 2019, Mercury source changes and food web shifts alter contamination signatures of predatory fish from Lake Michigan: Proceedings of the National Academy of Sciences, v. 116, no. 47, p. 23600-23608, https://doi.org/10.1073/pnas.1907484116.","productDescription":"9 p.","startPage":"23600","endPage":"23608","ipdsId":"IP-111207","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":459275,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1073/pnas.1907484116","text":"Publisher Index Page"},{"id":369191,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Lake Michigan","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.814453125,\n 45.90529985724799\n ],\n [\n -85.75927734375,\n 46.08847179577592\n ],\n [\n -86.37451171875,\n 46.027481852486645\n ],\n [\n -87.451171875,\n 45.767522962149876\n ],\n [\n -87.91259765625,\n 44.933696389694674\n ],\n [\n -88.13232421875,\n 44.33956524809713\n ],\n [\n -87.7587890625,\n 43.91372326852401\n ],\n [\n -87.978515625,\n 43.08493742707592\n ],\n [\n -87.8466796875,\n 42.08191667830631\n ],\n [\n -87.47314453125,\n 41.590796851056005\n ],\n [\n -86.90185546874999,\n 41.590796851056005\n ],\n [\n -86.2646484375,\n 42.19596877629178\n ],\n [\n -86.11083984375,\n 42.956422511073335\n ],\n [\n -86.4404296875,\n 43.48481212891603\n ],\n [\n -86.46240234375,\n 43.691707903073805\n ],\n [\n -86.396484375,\n 43.89789239125797\n ],\n [\n -86.15478515625,\n 44.6061127451739\n ],\n [\n -85.62744140625,\n 45.089035564831036\n ],\n [\n -85.58349609375,\n 44.68427737181225\n ],\n [\n -85.166015625,\n 45.07352060670971\n ],\n [\n -85.25390625,\n 45.38301927899065\n ],\n [\n -84.814453125,\n 45.90529985724799\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"116","issue":"47","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2019-11-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Lepak, Ryan F. 0000-0003-2806-1895","orcid":"https://orcid.org/0000-0003-2806-1895","contributorId":210990,"corporation":false,"usgs":false,"family":"Lepak","given":"Ryan F.","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":775191,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoffman, Joel C.","contributorId":84244,"corporation":false,"usgs":false,"family":"Hoffman","given":"Joel","email":"","middleInitial":"C.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":775192,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Janssen, Sarah E. 0000-0003-4432-3154","orcid":"https://orcid.org/0000-0003-4432-3154","contributorId":210991,"corporation":false,"usgs":true,"family":"Janssen","given":"Sarah E.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":775193,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Krabbenhoft, David P. 0000-0003-1964-5020 dpkrabbe@usgs.gov","orcid":"https://orcid.org/0000-0003-1964-5020","contributorId":1658,"corporation":false,"usgs":true,"family":"Krabbenhoft","given":"David","email":"dpkrabbe@usgs.gov","middleInitial":"P.","affiliations":[{"id":5044,"text":"National Research Program - 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2019 - 2019 Disaster Relief Act: USGS recovery activities","interactions":[],"lastModifiedDate":"2019-11-04T09:18:32","indexId":"fs20193066","displayToPublicDate":"2019-11-04T07:20:00","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-3066","displayTitle":"2019 Disaster Relief Act: USGS Recovery Activities","title":"2019 Disaster Relief Act: USGS recovery activities","docAbstract":"The Additional Supplemental Appropriations for Disaster Relief Act of 2019 (H.R. 2157) was signed by the President on June 6, 2019. The U.S. Geological Survey received $98.5 million for repair and replacement of facilities and equipment, collection of high-resolution elevation data in affected areas, and scientific assessments to support recovery and rebuilding decisions for declared disasters in 2018 from the Kīlauea volcano eruption, Hurricanes Florence and Michael, the Anchorage earthquake, and California wildfires.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20193066","usgsCitation":"Hinck, J.E., and Stachyra, J., 2019, 2019 Disaster Relief Act—USGS recovery activities: U.S. Geological Survey Fact Sheet 2019–3066, 4 p., https://doi.org/10.3133/fs20193066.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-111159","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":368866,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2019/3066/coverthb.jpg"},{"id":368865,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2019/3066/fs20193066.pdf","text":"Report","size":"1.81 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2019-3066"}],"country":"United States","contact":"Associate Director, Natural Hazards Mission Area
U.S. Geological Survey
12201 Sunrise Valley Drive
Reston, VA 20192
Contact Pubs Warehouse
Flow‐duration curve (FDC) based streamflow estimation methods involve estimating an FDC at an ungaged or partially gaged location and using the time series of nonexceedance probabilities estimated from donor streamgage sites to generate estimates of streamflow. We develop a mathematical framework to illustrate the connection between copulas and prior FDC‐based approaches. The performance of copula methods is compared to several other streamflow estimation methods using a decade of daily streamflow data from 74 sites located within two river basins in the southeast United States with different climate characteristics and physiographic properties. We show that copula approaches: (1) outperform other methods in the limiting case of perfect information with regard to the rank‐based correlation structure and FDCs across the gaging network; (2) provide a hedge against poor performance when donor information becomes sparser and less informative; (3) outperform other methods when used for partially gaged sites with several years of available data; and (4) remain a competitive albeit nondominating method for ungaged sites and partially gaged sites with limited data when realistic error is introduced in the estimation of FDCs and correlations across the gaging network.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019WR025138","usgsCitation":"Worland, S.C., Steinschneider, S., Farmer, W., Asquith, W.H., and Knight, R., 2019, Copula theory as a generalized framework for flow-duration curve-based streamflow estimates in ungaged and partially gaged catchments: Water Resources Research, v. 55, no. 11, p. 9378-9397, https://doi.org/10.1029/2019WR025138.","productDescription":"19 p.","startPage":"9378","endPage":"9397","ipdsId":"IP-104859","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":459281,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2019wr025138","text":"Publisher Index Page"},{"id":379982,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"55","issue":"11","noUsgsAuthors":false,"publicationDate":"2019-11-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Worland, Scott C. 0000-0001-6384-2457 scworland@usgs.gov","orcid":"https://orcid.org/0000-0001-6384-2457","contributorId":5802,"corporation":false,"usgs":true,"family":"Worland","given":"Scott","email":"scworland@usgs.gov","middleInitial":"C.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"preferred":true,"id":803580,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Steinschneider, Scott 0000-0002-8882-1908","orcid":"https://orcid.org/0000-0002-8882-1908","contributorId":206359,"corporation":false,"usgs":false,"family":"Steinschneider","given":"Scott","email":"","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":803604,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Farmer, William H. 0000-0002-2865-2196","orcid":"https://orcid.org/0000-0002-2865-2196","contributorId":223181,"corporation":false,"usgs":true,"family":"Farmer","given":"William H.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":803605,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Asquith, William H. 0000-0002-7400-1861 wasquith@usgs.gov","orcid":"https://orcid.org/0000-0002-7400-1861","contributorId":1007,"corporation":false,"usgs":true,"family":"Asquith","given":"William","email":"wasquith@usgs.gov","middleInitial":"H.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":803606,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Knight, Rodney 0000-0001-9588-0167 rrknight@usgs.gov","orcid":"https://orcid.org/0000-0001-9588-0167","contributorId":152422,"corporation":false,"usgs":true,"family":"Knight","given":"Rodney","email":"rrknight@usgs.gov","affiliations":[{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":803607,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70207296,"text":"70207296 - 2019 - The potential resiliency of a created tidal marsh to sea-level rise","interactions":[],"lastModifiedDate":"2020-01-08T14:33:11","indexId":"70207296","displayToPublicDate":"2019-11-01T11:21:24","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3619,"text":"Transactions of the ASABE","active":true,"publicationSubtype":{"id":10}},"title":"The potential resiliency of a created tidal marsh to sea-level rise","docAbstract":"The purpose of this study was to determine the elevation dynamics of a created tidal marsh on the North Carolina coast. Deep rod surface elevation tables (RSET) and feldspar marker horizons (MH) were installed in plots to measure net surface elevation changes and to quantify contributing processes. Twelve total plots were placed on four elevation gradient transects (three transects within the created marsh and one within a reference marsh) with three plots along each transect. Elevation gradient transects included a low marsh plot dominated by Spartina alterniflora, a middle marsh plot dominated by Juncus roemerianus, and a high marsh plot dominated by Spartina patens. RSET and MH measurements were taken in December 2012, January 2014, April 2017, and March 2018. Elevation change ranged from 0.7 to 4.0 mm yr-1 within the created marsh and -0.6 to 2.1 mm yr-1 within the reference marsh. When compared to the long-term linear trend in local relative sea level rise (RSLR) of 3.10 +/- 0.35 mm yr-1, the middle marsh plots within the created marsh trended toward survival with an observed elevation increase of 3.1 +/- 0.2 mm yr-1. Alternatively, the low and high marsh plots within the created marsh trended towards submergence with observed elevation increases of 2.1+/- 0.2 and 1.3 +/- 0.2 mm yr-1, respectively. These results indicate that a created marsh can display elevation dynamics similar to natural marshes. Surface elevation changes were observed over a short time period and in a relatively young marsh, so it is uncertain if these trends will continue or how the longer-term relationship with RSLR will develop. While this study provided the initial data on the ability of created tidal marshes to respond to observed sea-level rise, long-term observations will be continued to evaluate long-term elevation dynamics.
","language":"English","publisher":"American Society of Agricultural and Bioloogical Engineers","doi":"10.13031/trans.13438","usgsCitation":"Kamrath, B.J., Burchell, M.R., Cormier, N., Krauss, K.W., and Johnson, D., 2019, The potential resiliency of a created tidal marsh to sea-level rise: Transactions of the ASABE, v. 62, no. 6, p. 1567-1577, https://doi.org/10.13031/trans.13438.","productDescription":"11 p.","startPage":"1567","endPage":"1577","ipdsId":"IP-106892","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":459283,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.13031/trans.13438","text":"Publisher Index Page"},{"id":370307,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -78.6566162109375,\n 34.00713506435885\n ],\n [\n -78.541259765625,\n 33.8339199536547\n ],\n [\n -77.95898437499999,\n 33.829356907739296\n ],\n [\n -77.54150390625,\n 34.415973384481866\n ],\n [\n -76.95373535156249,\n 34.67839374011646\n ],\n [\n -76.5252685546875,\n 34.57895241036948\n ],\n [\n -75.9814453125,\n 35.06147690849717\n ],\n [\n -75.4705810546875,\n 35.200744801724014\n ],\n [\n -75.4376220703125,\n 35.67068501330236\n ],\n [\n -75.76171875,\n 36.35495110643483\n ],\n [\n -75.8331298828125,\n 36.575835338491764\n ],\n [\n -77.0361328125,\n 36.56260003738545\n ],\n [\n -77.45361328125,\n 35.496456056584165\n ],\n [\n -78.6566162109375,\n 34.00713506435885\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"62","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kamrath, Brock J. W.","contributorId":221266,"corporation":false,"usgs":false,"family":"Kamrath","given":"Brock","email":"","middleInitial":"J. W.","affiliations":[],"preferred":false,"id":777591,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burchell, Michael R.","contributorId":174553,"corporation":false,"usgs":false,"family":"Burchell","given":"Michael","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":777592,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cormier, Nicole 0000-0003-2453-9900 cormiern@usgs.gov","orcid":"https://orcid.org/0000-0003-2453-9900","contributorId":4262,"corporation":false,"usgs":true,"family":"Cormier","given":"Nicole","email":"cormiern@usgs.gov","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":777593,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Krauss, Ken W. 0000-0003-2195-0729 kraussk@usgs.gov","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":2017,"corporation":false,"usgs":true,"family":"Krauss","given":"Ken","email":"kraussk@usgs.gov","middleInitial":"W.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":777594,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, Darren 0000-0002-0502-6045 johnsond@usgs.gov","orcid":"https://orcid.org/0000-0002-0502-6045","contributorId":3663,"corporation":false,"usgs":true,"family":"Johnson","given":"Darren","email":"johnsond@usgs.gov","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":777595,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70206850,"text":"70206850 - 2019 - Genetic Characterization of Non-Native African Jewelfish, Hemichromis letourneuxi Sauvage 1880, in Florida","interactions":[],"lastModifiedDate":"2019-11-25T11:01:21","indexId":"70206850","displayToPublicDate":"2019-11-01T10:46:36","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3444,"text":"Southeastern Naturalist","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Genetic Characterization of Non-Native African Jewelfish, Hemichromis letourneuxi Sauvage 1880, in Florida","title":"Genetic Characterization of Non-Native African Jewelfish, Hemichromis letourneuxi Sauvage 1880, in Florida","docAbstract":"The African Jewelfish, Hemichromis letourneuxi, is an invasive, predatory cichlid fish introduced at least once to Florida. Its native range is in northern Africa. First encountered in Miami in the 1960s, it has since been found west and north within the State of Florida. It thrives in a wide range of aquatic habitats, including shallow, vegetated or rocky areas of canals, tidal creeks, rivers, and marshes. We generated mitochondrial DNA sequences from 6 Florida localities, and 1 Mexico population. The resulting tree describes recent historical relationships among populations. Nearly all Florida populations of African Jewelfish are intermixed, supporting a single invasion, with one possible exception: samples from the Tampa Bay locality are distinct and may represent a separate introduction. Samples obtained from the Mexico locality, previously identified as Hemichromis guttatus (Spotted Jewelfish), appear to be genetically identical to, and indistinguishable from the H. letourneuxi sampled in Florida localities.
","language":"English","publisher":"BioOne","doi":"10.1656/058.018.0406","usgsCitation":"Belfiore, N.M., and Schofield, P.J., 2019, Genetic Characterization of Non-Native African Jewelfish, Hemichromis letourneuxi Sauvage 1880, in Florida: Southeastern Naturalist, v. 18, no. 4, p. 561-570, https://doi.org/10.1656/058.018.0406.","productDescription":"10 p.","startPage":"561","endPage":"570","ipdsId":"IP-101063","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":369538,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":369534,"rank":1,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/P9WSCLJ5"}],"country":"Mexico, United States","state":"Florida","county":"Indian River","city":"Cuatro Cienegas, Miami, Tampa Bay","otherGeospatial":"Archibold Biology Station, Big Cypress National Preserve. Corkscrew Swamp","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -82.79296874999999,\n 28.130127737874005\n ],\n [\n -82.59521484375,\n 27.547241546253268\n ],\n [\n -82.37548828125,\n 26.96124577052697\n ],\n [\n -81.9140625,\n 26.43122806450644\n ],\n [\n -81.6064453125,\n 25.958044673317843\n ],\n [\n -81.27685546875,\n 25.562265014427492\n ],\n [\n -80.26611328125,\n 25.403584973186703\n ],\n [\n -80.00244140625,\n 26.62781822639305\n ],\n [\n -80.5078125,\n 27.72243591897343\n ],\n [\n -82.79296874999999,\n 28.130127737874005\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -102.227783203125,\n 26.82345801888931\n ],\n [\n -101.91604614257812,\n 26.82345801888931\n ],\n [\n -101.91604614257812,\n 27.051176215711266\n ],\n [\n -102.227783203125,\n 27.051176215711266\n ],\n [\n -102.227783203125,\n 26.82345801888931\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"18","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Belfiore, Natalia M.","contributorId":220878,"corporation":false,"usgs":false,"family":"Belfiore","given":"Natalia","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":776060,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schofield, Pamela J. 0000-0002-8752-2797 pschofield@usgs.gov","orcid":"https://orcid.org/0000-0002-8752-2797","contributorId":168659,"corporation":false,"usgs":true,"family":"Schofield","given":"Pamela","email":"pschofield@usgs.gov","middleInitial":"J.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":776061,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70266312,"text":"70266312 - 2019 - De novo assembly and annotation from parental and F1 puma genomes of the Florida panther genetic restoration program","interactions":[],"lastModifiedDate":"2025-05-06T13:13:48.10423","indexId":"70266312","displayToPublicDate":"2019-11-01T09:52:28","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10581,"text":"G3 Genes|Genomes|Genetics","active":true,"publicationSubtype":{"id":10}},"displayTitle":"De novo assembly and annotation from parental and F1 puma genomes of the Florida panther genetic restoration program","title":"De novo assembly and annotation from parental and F1 puma genomes of the Florida panther genetic restoration program","docAbstract":"In the mid-1990s, the population size of Florida panthers became so small that many individuals manifested traits associated with inbreeding depression (e.g., heart defects, cryptorchidism, high pathogen-parasite load). To mitigate these effects, pumas from Texas were introduced into South Florida to augment genetic variation in Florida panthers. In this study, we report a de novo puma genome assembly and annotation after resequencing 10 individual genomes from partial Florida-Texas-F1 trios. The final genome assembly consisted of ∼2.6 Gb and 20,561 functionally annotated protein-coding genes. Foremost, expanded gene families were associated with neuronal and embryological development, whereas contracted gene families were associated with olfactory receptors. Despite the latter, we characterized 17 positively selected genes related to the refinement of multiple sensory perceptions, most notably to visual capabilities. Furthermore, genes under positive selection were enriched for the targeting of proteins to the endoplasmic reticulum, degradation of mRNAs, and transcription of viral genomes. Nearly half (48.5%) of ∼6.2 million SNPs analyzed in the total sample set contained putative unique Texas alleles. Most of these alleles were likely inherited to subsequent F1 Florida panthers, as these individuals manifested a threefold increase in observed heterozygosity with respect to their immediate, canonical Florida panther predecessors. Demographic simulations were consistent with a recent colonization event in North America by a small number of founders from South America during the last glacial period. In conclusion, we provide an extensive set of genomic resources for pumas and elucidate the genomic effects of genetic rescue on this iconic conservation success story.
","language":"English","publisher":"Oxford University Press","doi":"10.1534/g3.119.400629","usgsCitation":"Ochoa, A., Onorato, D.P., Fitak, R., Roelke-Parker, M., and Culver, M., 2019, De novo assembly and annotation from parental and F1 puma genomes of the Florida panther genetic restoration program: G3 Genes|Genomes|Genetics, v. 9, no. 11, p. 3531-3536, https://doi.org/10.1534/g3.119.400629.","productDescription":"6 p.","startPage":"3531","endPage":"3536","ipdsId":"IP-098653","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":487563,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1534/g3.119.400629","text":"Publisher Index Page"},{"id":485379,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"11","noUsgsAuthors":false,"publicationDate":"2019-11-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Ochoa, Alexander","contributorId":338607,"corporation":false,"usgs":false,"family":"Ochoa","given":"Alexander","affiliations":[{"id":81173,"text":"the Department of Biology and Genomics and Bioinformatics Cluster","active":true,"usgs":false}],"preferred":false,"id":935540,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Onorato, David P","contributorId":242969,"corporation":false,"usgs":false,"family":"Onorato","given":"David","email":"","middleInitial":"P","affiliations":[{"id":48592,"text":"Florida Fish & Wildlife Conservation Comm.","active":true,"usgs":false}],"preferred":false,"id":935541,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fitak, Robert R.","contributorId":354417,"corporation":false,"usgs":false,"family":"Fitak","given":"Robert R.","affiliations":[{"id":18879,"text":"University of Central Florida","active":true,"usgs":false}],"preferred":false,"id":935542,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Roelke-Parker, Melody","contributorId":72715,"corporation":false,"usgs":true,"family":"Roelke-Parker","given":"Melody","affiliations":[],"preferred":false,"id":935543,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Culver, Melanie 0000-0001-5380-3059 mculver@usgs.gov","orcid":"https://orcid.org/0000-0001-5380-3059","contributorId":197693,"corporation":false,"usgs":true,"family":"Culver","given":"Melanie","email":"mculver@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":935539,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70228429,"text":"70228429 - 2019 - Multipurpose oxbows as a nitrate export reduction practice in the agricultural Midwest","interactions":[],"lastModifiedDate":"2022-02-10T15:36:47.972031","indexId":"70228429","displayToPublicDate":"2019-11-01T09:29:33","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5490,"text":"Agricultural & Environmental Letters","onlineIssn":"2471-9625","active":true,"publicationSubtype":{"id":10}},"title":"Multipurpose oxbows as a nitrate export reduction practice in the agricultural Midwest","docAbstract":"Nutrient export from the agricultural US Midwest influences streams and rivers and contributes to the development of hypoxia in the Gulf of Mexico. Oxbows are natural waterbodies formed when a river cuts off a meander loop as it migrates within its floodplain. Creation of multipurpose oxbows by restoration of former oxbows can potentially reduce export of nitrate-nitrogen (nitrate) from agricultural land as well as provide important habitat for many species, including the endangered Topeka shiner. Recent studies of nitrate export reduction by oxbows in Iowa are encouraging, demonstrating a 45% reduction in nitrate export of water entering oxbows from subsurface tiles compared with water discharged to the adjacent stream. Oxbow restorations are as effective as several other nutrient reduction practices, are relatively inexpensive, last for decades if not centuries, remove little or no land from agricultural production, and provide significant ecosystem services. Multipurpose oxbows are a promising new best management practice for reducing nitrate export from agricultural lands.
","language":"English","publisher":"ACSESS","doi":"10.2134/ael2019.09.0035","usgsCitation":"Schilling, K.E., Wilke, K., Pierce, C., Kult, K., and Kenny, A., 2019, Multipurpose oxbows as a nitrate export reduction practice in the agricultural Midwest: Agricultural & Environmental Letters, v. 4, no. 1, 1900035, 5 p., https://doi.org/10.2134/ael2019.09.0035.","productDescription":"1900035, 5 p.","ipdsId":"IP-111287","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":459288,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2134/ael2019.09.0035","text":"Publisher Index Page"},{"id":395770,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa","otherGeospatial":"Boone River watershed, North Raccoon river watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -93.91937255859375,\n 41.566141964768384\n ],\n [\n -93.93310546875,\n 41.916585116228354\n ],\n [\n -94.16244506835938,\n 42.132858175814626\n ],\n [\n -94.49615478515625,\n 42.29965889253408\n ],\n [\n -95.00289916992188,\n 42.27629267135368\n ],\n [\n -95.06469726562499,\n 42.05745022024682\n ],\n [\n -93.97705078125,\n 41.549700145132725\n ],\n [\n -93.91937255859375,\n 41.566141964768384\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -93.7847900390625,\n 42.34941019930749\n ],\n [\n -93.71337890625,\n 42.495390378152244\n ],\n [\n -93.87542724609375,\n 42.94436044696629\n ],\n [\n -94.12811279296875,\n 42.92525734446738\n ],\n [\n -94.02374267578125,\n 42.56117285531808\n ],\n [\n -93.85208129882812,\n 42.332153998913704\n ],\n [\n -93.7847900390625,\n 42.34941019930749\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"4","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Schilling, Keith E.","contributorId":275776,"corporation":false,"usgs":false,"family":"Schilling","given":"Keith","email":"","middleInitial":"E.","affiliations":[{"id":56893,"text":"Iowa Geological Society","active":true,"usgs":false}],"preferred":false,"id":834278,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilke, Karen","contributorId":275777,"corporation":false,"usgs":false,"family":"Wilke","given":"Karen","email":"","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":834279,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pierce, Clay 0000-0001-5088-5431 cpierce@usgs.gov","orcid":"https://orcid.org/0000-0001-5088-5431","contributorId":150492,"corporation":false,"usgs":true,"family":"Pierce","given":"Clay","email":"cpierce@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":834277,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kult, Keegan","contributorId":275778,"corporation":false,"usgs":false,"family":"Kult","given":"Keegan","email":"","affiliations":[{"id":56894,"text":"Agricultural Drainage Management Coalition","active":true,"usgs":false}],"preferred":false,"id":834280,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kenny, Aleshia","contributorId":275779,"corporation":false,"usgs":false,"family":"Kenny","given":"Aleshia","email":"","affiliations":[{"id":12428,"text":"U. S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":834281,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ]}