A previously developed CE–QUAL–W2 model for Madison Lake, Minnesota, simulated the algal community dynamics, water quality, and fish habitat suitability of Madison Lake under recent (2014) meteorological conditions. Additionally, this previously developed model simulated the complex interplay between external nutrient loading, internal nutrient loading from sediment release of phosphorus, and the organic matter decomposition of the algal biomass. However, the partitioning of Cyanophyta within the modeling framework was simplified to one group and did not account for how different Cyanophyta populations are affected by light conditions, use of nitrogen, temperature growth ranges, and differences in settling rates. Properly capturing Cyanophyta dynamics is important given the potential risks posed by potential large algal blooms. For example, when Cyanophyta form large blooms, recreational activities can become restricted in certain areas because of thick algal scums or algal mats, in addition to the possible production of a class of toxins, known as cyanotoxins, capable of threatening human health, domestic animals, and wildlife. Therefore, we updated the model to partition the Cyanophyta into a group that fixed nitrogen and a second, more buoyant Cyanophyta group that did not independently fix nitrogen.
The U.S. Geological Survey, in cooperation with the St. Croix Watershed Research Station (Science Museum of Minnesota) with support from the Environmental and Natural Resources Trust Fund of Minnesota (Legislative-Citizen Commission on Minnesota Resources), updated the Madison Lake CE–QUAL–W2 model to address the shortcomings of simulating Cyanophyta in the previously developed model and better characterize Cyanophyta into two groups. In addition to updating the Cyanophyta group differentiation, the part of the model that handles the simulation of algal community dynamics was updated while preserving model predictive capabilities for nutrients, water temperature, and dissolved oxygen. The calibration and validation of the model was done under recent meteorological conditions with large and persistent Cyanophyta blooms (2014 and 2016).
Overall, the model simulations predicted the persistently large total phosphorus concentrations in the hypolimnion of Madison Lake and key differences in nutrient concentrations between 2014 and 2016. The Cyanophyta bloom persistence throughout the summer was also simulated by the model in 2014 and 2016, a critical goal of the model update. Finally, monthly total phosphorus budgets were calculated for the updated Madison Lake model for 2014 and 2016.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195124","collaboration":"Prepared in cooperation with the Legislative-Citizen Commission on Minnesota Resources and St. Croix Watershed Research Station—Science Museum of Minnesota","usgsCitation":"Smith, E.A., and Kiesling, R.L., 2019, Updates to the Madison Lake (Minnesota) CE–QUAL–W2 water-quality model for assessing algal community dynamics: U.S. Geological Survey Scientific Investigations Report 2019–5124, 35 p., https://doi.org/10.3133/sir20195124.","productDescription":"Report: viii, 35 p.; Data Release","numberOfPages":"48","onlineOnly":"Y","ipdsId":"IP-109825","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"links":[{"id":368957,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5124/coverthb.jpg"},{"id":368958,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5124/sir20195124.pdf","text":"Report","size":"1.30 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019–5124"},{"id":368959,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P92YEVPO","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Updated CE–QUAL–W2 water-quality model for Madison Lake, Minnesota (2014 and 2016)"}],"country":"United States","state":"Minnesota","county":"Blue Earth County","otherGeospatial":"Madison Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -93.82830619812012,\n 44.17063113749022\n ],\n [\n -93.77620697021484,\n 44.17063113749022\n ],\n [\n -93.77620697021484,\n 44.20368152239254\n ],\n [\n -93.82830619812012,\n 44.20368152239254\n ],\n [\n -93.82830619812012,\n 44.17063113749022\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Upper Midwest Water Science Center
U.S. Geological Survey
2280 Woodale Drive
Mounds View, MN 55112
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
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":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":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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Nebraska-Lincoln","active":true,"usgs":false}],"preferred":false,"id":783083,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mittelstet, Aaron R.","contributorId":177015,"corporation":false,"usgs":false,"family":"Mittelstet","given":"Aaron","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":783084,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Briggs, Martin A. 0000-0003-3206-4132 mbriggs@usgs.gov","orcid":"https://orcid.org/0000-0003-3206-4132","contributorId":4114,"corporation":false,"usgs":true,"family":"Briggs","given":"Martin","email":"mbriggs@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":783080,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zlotnik, V.","contributorId":222754,"corporation":false,"usgs":false,"family":"Zlotnik","given":"V.","email":"","affiliations":[{"id":16610,"text":"University of Nebraska-Lincoln","active":true,"usgs":false}],"preferred":false,"id":783085,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Corcoran, S.","contributorId":222755,"corporation":false,"usgs":false,"family":"Corcoran","given":"S.","email":"","affiliations":[{"id":16610,"text":"University of Nebraska-Lincoln","active":true,"usgs":false}],"preferred":false,"id":783086,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"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 - 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":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin 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":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - 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2019 - Copula theory as a generalized framework for flow-duration curve-based streamflow estimates in ungaged and partially gaged catchments","interactions":[],"lastModifiedDate":"2025-09-23T14:50:07.929518","indexId":"70215879","displayToPublicDate":"2019-11-01T12:28:49","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Copula theory as a generalized framework for flow-duration curve-based streamflow estimates in ungaged and partially gaged catchments","docAbstract":"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":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. 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Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":834281,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70203201,"text":"70203201 - 2019 - 2017 Monitoring and tracking wet nitrogen deposition at Rocky Mountain National Park","interactions":[],"lastModifiedDate":"2019-12-04T16:48:41","indexId":"70203201","displayToPublicDate":"2019-10-31T16:48:31","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesTitle":{"id":273,"text":"Natural Resource Report","active":false,"publicationSubtype":{"id":4}},"seriesNumber":"2019/1905","title":"2017 Monitoring and tracking wet nitrogen deposition at Rocky Mountain National Park","docAbstract":"The Colorado Department of Public Health and Environment (CDPHE), the National Park Service (NPS), and the U.S. Environmental Protection Agency (EPA) issued the Nitrogen Deposition Reduction Plan (NDRP) in 2007 to address the effects and trends of nitrogen deposition at Rocky Mountain National Park (RMNP). The agencies chose a glidepath approach to reduce wet nitrogen deposition to a level of 1.5 kilograms of nitrogen per hectare per year (kg N/ha/yr) by the year 2032 to protect sensitive ecosystems within RMNP from adverse effects. Another goal of the NDRP is to “reverse the trend of increasing nitrogen deposition at the park.” Trends in wet deposition data were analyzed at three sites in RMNP and three regional sites outside of the park. Wet nitrogen deposition (5-year rolling average) at Loch Vale in RMNP was 3.3 kg N/ha/yr, which is above the glidepath (2.4 kg N/ha/yr) in 2017. Wet nitrogen deposition has not decreased at RMNP or other sites in the region over the long-term. Ammonium concentrations showed a statistically significant increasing trend at all sites and nitrate concentrations showed a significant decreasing trend at four of the five sites over\nthe period of record. In more recent years (2011-2017), wet nitrogen deposition showed no\nsignificant trend at monitoring sites in RMNP. Ammonium concentrations also showed no significant trend over the short-term, however nitrate concentrations did significantly decrease at two of the six sites.","language":"English","publisher":"National Park Service","usgsCitation":"Kristi Morris, Mast, M.A., Wetherbee, G.A., Baron, J., Cheatham, J., Bromberg, J., Devore, L., Hou, J., Gebhart, K., Bell, M., Gay, D., Olson, M., Weinmann, T., and Bowker, D., 2019, 2017 Monitoring and tracking wet nitrogen deposition at Rocky Mountain National Park: Natural Resource Report 2019/1905, vi, 37 p.","productDescription":"vi, 37 p.","ipdsId":"IP-102509","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":369929,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":363258,"type":{"id":11,"text":"Document"},"url":"https://irma.nps.gov/DataStore/DownloadFile/620476"}],"country":"United States","state":"Colorado","otherGeospatial":"Rocky Mountain National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -105.93017578125,\n 40.14109012528468\n ],\n [\n -105.48110961914062,\n 40.14109012528468\n ],\n [\n -105.48110961914062,\n 40.57224011776902\n ],\n [\n -105.93017578125,\n 40.57224011776902\n ],\n [\n -105.93017578125,\n 40.14109012528468\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kristi Morris","contributorId":146262,"corporation":false,"usgs":false,"family":"Kristi Morris","affiliations":[{"id":16653,"text":"National Park Service, Air Resources Division","active":true,"usgs":false}],"preferred":false,"id":761627,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mast, M. Alisa 0000-0001-6253-8162","orcid":"https://orcid.org/0000-0001-6253-8162","contributorId":211054,"corporation":false,"usgs":true,"family":"Mast","given":"M.","email":"","middleInitial":"Alisa","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":761626,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wetherbee, Gregory A. 0000-0002-6720-2294","orcid":"https://orcid.org/0000-0002-6720-2294","contributorId":215100,"corporation":false,"usgs":true,"family":"Wetherbee","given":"Gregory","email":"","middleInitial":"A.","affiliations":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"preferred":true,"id":761628,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baron, Jill S. 0000-0002-5902-6251","orcid":"https://orcid.org/0000-0002-5902-6251","contributorId":215101,"corporation":false,"usgs":true,"family":"Baron","given":"Jill S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":761629,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cheatham, Jim","contributorId":221040,"corporation":false,"usgs":false,"family":"Cheatham","given":"Jim","email":"","affiliations":[],"preferred":false,"id":776712,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bromberg, Jim","contributorId":221041,"corporation":false,"usgs":false,"family":"Bromberg","given":"Jim","email":"","affiliations":[],"preferred":false,"id":776713,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Devore, Lisa","contributorId":221042,"corporation":false,"usgs":false,"family":"Devore","given":"Lisa","email":"","affiliations":[],"preferred":false,"id":776714,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hou, James","contributorId":221043,"corporation":false,"usgs":false,"family":"Hou","given":"James","email":"","affiliations":[],"preferred":false,"id":776715,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Gebhart, Kristi","contributorId":221044,"corporation":false,"usgs":false,"family":"Gebhart","given":"Kristi","email":"","affiliations":[],"preferred":false,"id":776716,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Bell, Mike","contributorId":221045,"corporation":false,"usgs":false,"family":"Bell","given":"Mike","email":"","affiliations":[],"preferred":false,"id":776717,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Gay, David","contributorId":43245,"corporation":false,"usgs":true,"family":"Gay","given":"David","affiliations":[],"preferred":false,"id":776718,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Olson, Michael","contributorId":221046,"corporation":false,"usgs":false,"family":"Olson","given":"Michael","affiliations":[],"preferred":false,"id":776719,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Weinmann, Timothy","contributorId":194126,"corporation":false,"usgs":false,"family":"Weinmann","given":"Timothy","affiliations":[],"preferred":false,"id":776720,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Bowker, Daniel","contributorId":146263,"corporation":false,"usgs":false,"family":"Bowker","given":"Daniel","email":"","affiliations":[{"id":16654,"text":"Colorado State University, Natural Resource Ecologyy Lab","active":true,"usgs":false}],"preferred":false,"id":776721,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70197810,"text":"70197810 - 2019 - Chemical composition of formation water in shale and tight reservoirs: A basin-scale perspective","interactions":[],"lastModifiedDate":"2019-12-05T10:59:47","indexId":"70197810","displayToPublicDate":"2019-10-31T10:57:17","publicationYear":"2019","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Chemical composition of formation water in shale and tight reservoirs: A basin-scale perspective","docAbstract":"No abstract available.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Shale: Subsurface Science and Engineering","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Wiley","isbn":"9781119066682","usgsCitation":"Kharaka, Y., Gans, K., Rowan, E., Thordsen, J., Conaway, C., Blondes, M., and Engle, M.A., 2019, Chemical composition of formation water in shale and tight reservoirs: A basin-scale perspective, chap. of Shale: Subsurface Science and Engineering, p. 27-44.","productDescription":"18 p.","startPage":"27","endPage":"44","ipdsId":"IP-072624","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":369991,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":369990,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.wiley.com/en-us/Shale%3A+Subsurface+Science+and+Engineering-p-9781119066682"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kharaka, Yousif 0000-0001-9861-8260","orcid":"https://orcid.org/0000-0001-9861-8260","contributorId":205837,"corporation":false,"usgs":true,"family":"Kharaka","given":"Yousif","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":738617,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gans, Kathleen 0000-0002-7545-9655","orcid":"https://orcid.org/0000-0002-7545-9655","contributorId":203914,"corporation":false,"usgs":true,"family":"Gans","given":"Kathleen","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":738618,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rowan, Elisabeth 0000-0001-5753-6189","orcid":"https://orcid.org/0000-0001-5753-6189","contributorId":205839,"corporation":false,"usgs":true,"family":"Rowan","given":"Elisabeth","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":738620,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thordsen, James 0000-0001-9809-0398 jthordsn@usgs.gov","orcid":"https://orcid.org/0000-0001-9809-0398","contributorId":205838,"corporation":false,"usgs":true,"family":"Thordsen","given":"James","email":"jthordsn@usgs.gov","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":738619,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Conaway, Christopher H. 0000-0002-0991-033X","orcid":"https://orcid.org/0000-0002-0991-033X","contributorId":201932,"corporation":false,"usgs":true,"family":"Conaway","given":"Christopher H.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":738623,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Blondes, Madalyn S. 0000-0003-0320-0107 mblondes@usgs.gov","orcid":"https://orcid.org/0000-0003-0320-0107","contributorId":3598,"corporation":false,"usgs":true,"family":"Blondes","given":"Madalyn S.","email":"mblondes@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":738621,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Engle, Mark A. 0000-0001-5258-7374 engle@usgs.gov","orcid":"https://orcid.org/0000-0001-5258-7374","contributorId":584,"corporation":false,"usgs":true,"family":"Engle","given":"Mark","email":"engle@usgs.gov","middleInitial":"A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":738622,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70212796,"text":"70212796 - 2019 - 2D micromodel study of clogging behavior of fine-grained particles associated with gas hydrate production in NGHP-02 gas hydrate reservoir sediments","interactions":[],"lastModifiedDate":"2020-12-07T18:12:07.024541","indexId":"70212796","displayToPublicDate":"2019-10-31T08:26:10","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2382,"text":"Journal of Marine and Petroleum Geology","active":true,"publicationSubtype":{"id":10}},"title":"2D micromodel study of clogging behavior of fine-grained particles associated with gas hydrate production in NGHP-02 gas hydrate reservoir sediments","docAbstract":"Fine-grained particles (fines) commonly coexist with coarse-grained sediments that host gas hydrate. These fines can be mobilized by liquid and gas flow during gas hydrate production. Once mobilized, fines can clog pore throats and reduce reservoir permeability. Even where particle sizes are smaller than pore-throat sizes, clogs can form due to clusters of fines. For certain types of fines, particularly swelling clays, cluster sizes depend on pore-fluid chemistry, which changes as pore-fluid freshens during gas hydrate dissociation. Fines can also be concentrated by a moving gas/liquid interface, increasing the chances of pore-throat clogging regardless of fines type. To test the relative significance of these clogging mechanisms, 2D micromodel experiments have been conducted with different pore-throat widths (20, 40, 60 and 100 m), single-phase pore-fluids (deionized water and 2M-sodium-chloride solution), and moving gas/liquid interfaces on specimens from Sites NGHP-02-09 and NGHP-02-16 (NGHP-02: National Gas Hydrate Program Expedition 02) as well as a selection of pure fines (silica silt, mica, calcium carbonate, diatoms, kaolin, and bentonite). Clogging depended on the ratio of particle-to-pore throat size, and also on pore-fluid chemistry because the pore-fluid chemistry changes effectively increased or decreased the fines cluster size relative to the pore-throat width. These interactions can be predicted based on the fines electrical sensitivity (defined by Jang and Santamarina, 2016). The fine-grained sediment component (grain size < 75 m) from the primary gas hydrate reservoir layers at Sites NGHP-02-09 and -16 show clogging via blocking or size exclusion (sieving) due to the large particles. Clogs also formed due to bridging or blocking by clusters of the smaller particles. Clogging generally occurred for pore-water sediment concentrations so low (0.2% by mass or less), that it was difficult to resolve the enhanced clogging in the presence of the gas/liquid meniscus.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.marpetgeo.2018.09.010","usgsCitation":"Cao, S., Jang, J., Waite, W., Collett, T., Junger, J., and Kumar, P., 2019, 2D micromodel study of clogging behavior of fine-grained particles associated with gas hydrate production in NGHP-02 gas hydrate reservoir sediments: Journal of Marine and Petroleum Geology, v. 108, p. 714-730, https://doi.org/10.1016/j.marpetgeo.2018.09.010.","productDescription":"17 p.","startPage":"714","endPage":"730","ipdsId":"IP-097076","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":459308,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.osti.gov/biblio/1469997","text":"Publisher Index Page"},{"id":377982,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"India","otherGeospatial":"Bay of Bengal","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 80.771484375,\n 13.368243250897299\n ],\n [\n 85.25390625,\n 13.368243250897299\n ],\n [\n 85.25390625,\n 15.623036831528264\n ],\n [\n 80.771484375,\n 15.623036831528264\n ],\n [\n 80.771484375,\n 13.368243250897299\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"108","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Cao, S.C.","contributorId":239651,"corporation":false,"usgs":false,"family":"Cao","given":"S.C.","email":"","affiliations":[{"id":47953,"text":"Civil and Environmental Engineering, Louisiana State University, Baton Rouge, LA, USA","active":true,"usgs":false}],"preferred":false,"id":797479,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jang, Junbong 0000-0001-5500-7558 jjang@usgs.gov","orcid":"https://orcid.org/0000-0001-5500-7558","contributorId":189400,"corporation":false,"usgs":true,"family":"Jang","given":"Junbong","email":"jjang@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":797480,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Waite, William F. 0000-0002-9436-4109 wwaite@usgs.gov","orcid":"https://orcid.org/0000-0002-9436-4109","contributorId":625,"corporation":false,"usgs":true,"family":"Waite","given":"William F.","email":"wwaite@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":797481,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Collett, Timothy 0000-0002-7598-4708","orcid":"https://orcid.org/0000-0002-7598-4708","contributorId":220806,"corporation":false,"usgs":true,"family":"Collett","given":"Timothy","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":797482,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Junger, Jenni","contributorId":194802,"corporation":false,"usgs":false,"family":"Junger","given":"Jenni","email":"","affiliations":[],"preferred":false,"id":797483,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kumar, P.","contributorId":140615,"corporation":false,"usgs":false,"family":"Kumar","given":"P.","email":"","affiliations":[],"preferred":false,"id":797484,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70237907,"text":"70237907 - 2019 - Reactive transport modeling to understand attenuation of arsenic concentrations in anoxic groundwater during Fe(II) oxidation by nitrate","interactions":[],"lastModifiedDate":"2022-10-31T12:26:09.920383","indexId":"70237907","displayToPublicDate":"2019-10-31T07:24:33","publicationYear":"2019","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Reactive transport modeling to understand attenuation of arsenic concentrations in anoxic groundwater during Fe(II) oxidation by nitrate","docAbstract":"A previously published field-experimental investigation showed that injection of nitrate in anoxic groundwater that contained aqueous and sediment-bound Fe(II) diminished concentrations of As(V) and As(III) to below drinking-water limits. In the current study, reactive transport modeling confirmed that the observed attenuation was consistent with oxidation of Fe(II) by nitrate, leading to precipitation of hydrous ferric oxide, which, in turn, sorbed both As(V) and As(III). After calibration with site-specific observations, reactive transport modeling could aid in designing effective treatment to remove arsenic using injection of nitrate to oxidize Fe(II).
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Environmental Arsenic in a Changing World","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Taylor and Francis","usgsCitation":"Kent, D.B., Smith, R.L., Jamieson, J., Bohlke, J., Repert, D.A., and Prommer, H., 2019, Reactive transport modeling to understand attenuation of arsenic concentrations in anoxic groundwater during Fe(II) oxidation by nitrate, chap. of Environmental Arsenic in a Changing World, p. 512-513.","productDescription":"2 p.","startPage":"512","endPage":"513","ipdsId":"IP-095134","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":408884,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":408883,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.taylorfrancis.com/chapters/oa-edit/10.1201/9781351046633-203/reactive-transport-modeling-understand-attenuation-arsenic-concentrations-anoxic-groundwater-fe-ii-oxidation-nitrate-kent-smith-jamieson-b%C3%B6hlke-repert-prommer"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kent, Douglas B. 0000-0003-3758-8322 dbkent@usgs.gov","orcid":"https://orcid.org/0000-0003-3758-8322","contributorId":1871,"corporation":false,"usgs":true,"family":"Kent","given":"Douglas","email":"dbkent@usgs.gov","middleInitial":"B.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":856153,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Richard L. 0000-0002-3829-0125 rlsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-3829-0125","contributorId":1592,"corporation":false,"usgs":true,"family":"Smith","given":"Richard","email":"rlsmith@usgs.gov","middleInitial":"L.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":856154,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jamieson, James","contributorId":298646,"corporation":false,"usgs":false,"family":"Jamieson","given":"James","email":"","affiliations":[{"id":16662,"text":"University of Western Australia","active":true,"usgs":false}],"preferred":false,"id":856155,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bohlke, J.K. 0000-0001-5693-6455 jkbohlke@usgs.gov","orcid":"https://orcid.org/0000-0001-5693-6455","contributorId":191103,"corporation":false,"usgs":true,"family":"Bohlke","given":"J.K.","email":"jkbohlke@usgs.gov","affiliations":[{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":856156,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Repert, Deborah A. 0000-0001-7284-1456 darepert@usgs.gov","orcid":"https://orcid.org/0000-0001-7284-1456","contributorId":2578,"corporation":false,"usgs":true,"family":"Repert","given":"Deborah","email":"darepert@usgs.gov","middleInitial":"A.","affiliations":[{"id":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":856157,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Prommer, Henning","contributorId":298649,"corporation":false,"usgs":false,"family":"Prommer","given":"Henning","email":"","affiliations":[{"id":16662,"text":"University of Western Australia","active":true,"usgs":false}],"preferred":false,"id":856158,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70192704,"text":"70192704 - 2019 - Toward a theory of connectivity among depressional wetlands of the great plains","interactions":[],"lastModifiedDate":"2019-12-06T17:06:28","indexId":"70192704","displayToPublicDate":"2019-10-30T17:03:44","publicationYear":"2019","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"7","title":"Toward a theory of connectivity among depressional wetlands of the great plains","docAbstract":"Functions of inland, freshwater depressional wetlands of the Great Plains are driven by natural disturbance in the form of fluctuating water levels or shifts between wet and dry ecological states. The geographically isolated prairie potholes and playas form broad-scale systems or networks that support biodiversity and provide ecological goods and services. Anthropogenic disturbance, primarily in the form of sediment accretion, results in the functional loss of individual wetlands from the system. The ecological value of individual depressional wetlands has been documented, but there has not been any assessment of the contribution of individual wetlands to the system. Network analysis can be used to prioritize the contribution of individual wetlands to the system for the purpose of conservation and management. We utilized the playas wetland system of the Southern High Plains to illustrate this concept. Playas form a redundant, resilient network based on natural disturbance (i.e., inundation patterns) across broad spatial and temporal scales that support biodiversity. Loss of individual playas to sediment accretion is causing the network to break down, resulting in the need for a greater proportion of inundated playas to provide the original level of ecological goods and services. The effects of decreased functional connectivity due to anthropogenic disturbance at the system scale portend negative effects on movement strategies, dynamics and persistence of local populations, decreased biodiversity, and, ultimately, the redistribution and system-wide extinction of playa wetland-dependent populations and loss of associated functions.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Disturbance ecology and biological diversity: Context, nature and scale","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"CRC Press","usgsCitation":"Albanese, G., and Haukos, D.A., 2019, Toward a theory of connectivity among depressional wetlands of the great plains, chap. 7 of Disturbance ecology and biological diversity: Context, nature and scale, p. 169-186.","productDescription":"18 p.","startPage":"169","endPage":"186","ipdsId":"IP-069978","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":370073,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":370072,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.taylorfrancis.com/books/9780429095146"}],"country":"United States","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Albanese, Gene","contributorId":200245,"corporation":false,"usgs":false,"family":"Albanese","given":"Gene","email":"","affiliations":[],"preferred":false,"id":776900,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haukos, David A. 0000-0001-5372-9960 dhaukos@usgs.gov","orcid":"https://orcid.org/0000-0001-5372-9960","contributorId":3664,"corporation":false,"usgs":true,"family":"Haukos","given":"David","email":"dhaukos@usgs.gov","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":716743,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70206440,"text":"70206440 - 2019 - A conceptual framework for the identification and characterization of lacustrine spawning habitats for native lake charr Salvelinus namaycush","interactions":[],"lastModifiedDate":"2019-12-03T10:02:28","indexId":"70206440","displayToPublicDate":"2019-10-30T15:30:14","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1528,"text":"Environmental Biology of Fishes","active":true,"publicationSubtype":{"id":10}},"displayTitle":"A conceptual framework for the identification and characterization of lacustrine spawning habitats for native lake charr Salvelinus namaycush","title":"A conceptual framework for the identification and characterization of lacustrine spawning habitats for native lake charr Salvelinus namaycush","docAbstract":"Lake charr Salvelinus namaycush are endemic to the formerly glaciated regions of North America and spawn primarily in lakes, unlike most other Salmoninae. Spawning habitats for lake charr are thought to be characterized by relatively large substrate particle sizes which provide sufficient interstitial spaces for egg incubation, but little is known about the physical processes that create or maintain suitable habitats. We review the literature on lake charr spawning habitat and present a conceptual framework that examines the roles of physical variables in creating the appropriate conditions for egg incubation. A critical underlying assumption of this framework is that lake charr will select spawning habitats that provide suitable hypolentic flows for egg incubation. We suggest that the characterization of lakebed surface roughness, current patterns, substrate particle size, and groundwater flows at multiple spatial scales may yield significant insight into the physical mechanisms supporting lacustrine spawning habitats for lake charr and will be useful in creating predictive models of these habitats. This framework may also apply to other lake-spawning lithophilic fish species.
","language":"English","publisher":"Springer","doi":"10.1007/s10641-019-00928-w","usgsCitation":"Riley, S., Marsden, J.E., Ridgway, M.S., Konrad, C., Farha, S., Binder, T.R., Middel, T.A., Esselman, P., and Krueger, C.C., 2019, A conceptual framework for the identification and characterization of lacustrine spawning habitats for native lake charr Salvelinus namaycush: Environmental Biology of Fishes, v. 102, no. 12, p. 1533-1557, https://doi.org/10.1007/s10641-019-00928-w.","productDescription":"25 p.","startPage":"1533","endPage":"1557","ipdsId":"IP-111423","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":368937,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -138.8671875,\n 41.77131167976407\n ],\n [\n -51.85546874999999,\n 41.77131167976407\n ],\n [\n -51.85546874999999,\n 69.59589006237648\n ],\n [\n -138.8671875,\n 69.59589006237648\n ],\n [\n -138.8671875,\n 41.77131167976407\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"102","issue":"12","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2019-10-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Riley, Stephen 0000-0002-8968-8416 sriley@usgs.gov","orcid":"https://orcid.org/0000-0002-8968-8416","contributorId":169479,"corporation":false,"usgs":true,"family":"Riley","given":"Stephen","email":"sriley@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":774544,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Marsden, J. E.","contributorId":220229,"corporation":false,"usgs":false,"family":"Marsden","given":"J.","email":"","middleInitial":"E.","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":774545,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ridgway, M. S.","contributorId":220230,"corporation":false,"usgs":false,"family":"Ridgway","given":"M.","email":"","middleInitial":"S.","affiliations":[{"id":16762,"text":"Ontario Ministry of Natural Resources and Forestry","active":true,"usgs":false}],"preferred":false,"id":774546,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Konrad, Christopher 0000-0002-7354-547X","orcid":"https://orcid.org/0000-0002-7354-547X","contributorId":220231,"corporation":false,"usgs":true,"family":"Konrad","given":"Christopher","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":774547,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Farha, Steve A. 0000-0001-9953-6996 sfarha@usgs.gov","orcid":"https://orcid.org/0000-0001-9953-6996","contributorId":5170,"corporation":false,"usgs":true,"family":"Farha","given":"Steve A.","email":"sfarha@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":774548,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Binder, Thomas R.","contributorId":220232,"corporation":false,"usgs":false,"family":"Binder","given":"Thomas","email":"","middleInitial":"R.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":774549,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Middel, Trevor A.","contributorId":220233,"corporation":false,"usgs":false,"family":"Middel","given":"Trevor","email":"","middleInitial":"A.","affiliations":[{"id":16762,"text":"Ontario Ministry of Natural Resources and Forestry","active":true,"usgs":false}],"preferred":false,"id":774550,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Esselman, Peter C. 0000-0002-0085-903X","orcid":"https://orcid.org/0000-0002-0085-903X","contributorId":204291,"corporation":false,"usgs":true,"family":"Esselman","given":"Peter C.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":774551,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Krueger, Charles C.","contributorId":169487,"corporation":false,"usgs":false,"family":"Krueger","given":"Charles","email":"","middleInitial":"C.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":774552,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70205472,"text":"sir20195091 - 2019 - Summary of hydrologic testing, wellbore-flow data, and expanded water-level and water-quality data, 2011–15, Fort Irwin National Training Center, San Bernardino County, California","interactions":[],"lastModifiedDate":"2019-10-31T07:58:13","indexId":"sir20195091","displayToPublicDate":"2019-10-30T11:37:52","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-5091","displayTitle":"Summary of Hydrologic Testing, Wellbore‐Flow Data, and Expanded Water‐Level and Water‐Quality Data, 2011–15, Fort Irwin Training Center, San Bernardino County, California","title":"Summary of hydrologic testing, wellbore-flow data, and expanded water-level and water-quality data, 2011–15, Fort Irwin National Training Center, San Bernardino County, California","docAbstract":"In view of the U.S. Army’s historical reliance and plans to increase demands on groundwater to supply its operations at Fort Irwin National Training Center (NTC), California, coupled with the continuing water-level declines in some developed groundwater basins as a result of pumping, the U.S. Geological Survey (USGS), in cooperation with the U.S. Army, evaluated the water resources, including water quality and potential groundwater supply, of undeveloped basins in the NTC. Previous work in the three developed groundwater basins—Langford, Bicycle, and Irwin—provided information to support water-resources management of those basins. During 2009–12, the USGS installed 41 wells at the NTC; 34 wells were at 14 single- or multiple-well monitoring sites, and 7 wells were long-screen test wells. The majority of the wells were installed in previously undeveloped or minimally developed groundwater basins (Cronise, Red Pass, the Central Corridor area, Superior, Goldstone, and Nelson Basins). During 2012–15, the USGS tested hydrologic properties at 32 wells in 8 basins to help characterize the aquifer system. This report presents data and analyses from core samples; slug tests and single-well aquifer tests; coupled measurements of wellbore flow, water levels, and water-quality constituents; and results from two-dimensional numerical modeling. This information provides a basis for developing and constraining basin-scale hydrogeologic framework and groundwater-flow models to further evaluate water resources in each groundwater basin.
Core samples were tested for vertical saturated hydraulic conductivity, physical properties, and particle-size distribution. Vertical saturated hydraulic conductivities of the cores ranged from less than 0.00001 to 18.13 feet per day, and porosities ranged from 0.15 to 0.56. These physical properties and particle-size analyses indicate the high degree of heterogeneity of the hydrogeologic deposits penetrated by the boreholes. Horizontal hydraulic conductivities estimated from slug tests in 22 monitoring wells in 6 basins (Cronise, Central Corridor area, Goldstone, Langford, Bicycle, and Nelson Basins) ranged from less than 0.1 to 40 feet per day. Results of the aquifer tests at six test wells in the Goldstone, Nelson, and Superior Basins indicate hydraulic conductivities ranged from 0.37 to 66 feet per day; associated transmissivity values ranged from 130 to 28,000 feet squared per day. Wellbore-flow data, collected from the six test wells under unpumped and pumped conditions, generally showed downward movement of water. Flow data collected under unpumped conditions indicate groundwater entered the well through the upper part of the screened interval and exited to aquifer zones in the lower part of the screened interval at rates ranging from 1 to 3 gallons per minute. Flow data collected under pumping conditions show increased flow downward in the test wells, indicating higher yields from deeper aquifers.
Water levels, measured periodically between 2011 and 2015, remained stable during this period in the majority of the wells measured since 2011, except at two monitoring sites in developed basins (Bicycle and Langford). Vertical hydraulic gradients were generally low throughout the NTC, but ranged from –0.0003 to 0.27 during the summer of 2015. Multiple-well monitoring sites in Bicycle, Central Corridor area, Cronise, Goldstone, Nelson, and Superior Basins, had downward vertical gradients.
Groundwater in wells in Nelson and Superior Basins, and wells BLA5, CCT1, and GOLD2 #2, was characterized as sodium-bicarbonate water, whereas groundwater from the remaining wells in Goldstone Basin was characterized as sodium-chloride water and Cronise Basin, and well LL04 was characterized by sodium-sulfate water. Total dissolved solids (TDS) ranged from 285 to 13,400 milligrams per liter (mg/L) TDS and chloride concentrations ranged from 19 to 1,030 mg/L chloride, with lowest concentrations of each in groundwater from Superior and Nelson Basins and highest concentrations in Cronise Basin. Nitrate plus nitrite as nitrogen ranged from less than 0.040 mg/L in groundwater from Cronise and Goldstone Basins to about 20 mg/L in Nelson Basin. Groundwater from wells in Nelson Basin was isotopically light, whereas groundwater samples from wells CRTH1, CRTH2, and LL04 were isotopically heavier and plotted along an evaporative trend line. No measurable tritium was detected in groundwater from 13 wells sampled in 2015, indicating that groundwater was recharged prior to 1952. Measured carbon-14 (14C) activities in groundwater from four wells sampled in 2015 ranged from about 7.9 to 23.5 percent modern carbon and had apparent (uncorrected) ages of 11,970–20,980 years. Arsenic concentrations were above the maximum contaminant level of 10 micrograms per liter in groundwater from all wells, except those in Goldstone Basin and the two deepest wells in Langford Basin (LL04); likewise, fluoride concentrations were above the California maximum contaminant level of 2 mg/L in groundwater from most wells, except those in Goldstone and Superior Basins, the middle well in Langford Basin, middle and deep wells in two locations in Cronise Basin, and two wells in Nelson Basin.
Wellbore flow was simulated for each well by using an integrated-flow analysis tool, AnalyzeHOLE, to evaluate aquifer properties and heterogeneity. Horizontal layers in the model (hydrogeologic units) were defined by lithostratigraphic‐geophysical units, interpreted from lithologic and geophysical logs for each well, and were adjusted during calibration. The saturated hydraulic conductivities derived from the calibrated simulations ranged from less than 0.01 to 60 feet per day in Nelson, Goldstone, and Superior Basins.
Director,
California Water Science Center
U.S. Geological Survey
6000 J Street, Placer Hall
Sacramento, California 95819
Globally, aquatic biodiversity is imperiled at an increasing rate, especially in diversity hotspots such as the southeastern USA. The spotfin chub Erimonax monachus is a federally threatened minnow with a disjunct distribution resulting from numerous impoundments on the Tennessee River and its tributaries in the heart of the southeastern USA. Recovery actions required to remove federal protection for E. monachus are dependent on the establishment of additional populations within the historical range of the species, but little is known regarding macroscale habitat requirements that could guide conservation planning. We analyzed local- and network-scale watershed attributes to develop an ecological niche model (ENM) for E. monachus useful for directing conservation actions at sampled and unsampled sites across the Tennessee River Basin. We found E. monachus occurred most often in larger streams with large upstream catchment areas and minimal alteration to forested uplands, but all of these sites were in close proximity to high densities of downstream dams due to populations being restricted to large-stream habitat upstream of reservoirs. The ENM showed the highest probability of E. monachus occurrence among catchment locations with known extant populations; however, additional historical and previously unoccupied catchments showed potential for successful (re)introductions, provided that fine-scale habitats are appropriate. Our framework can be used to identify potential survey and (re)introduction sites for E. monachus as well as other rare riverine fishes and represents a method for identifying areas of high priority for conserving aquatic biodiversity.
","language":"English","publisher":"Inter-Research Science Publisher","doi":"10.3354/esr00983","usgsCitation":"Perkin, J., Gibbs, W.K., Ridgway, J.L., and Cook, S.B., 2019, Riverscape correlates for distribution of threatened spotfin chub Erimonax monachus in the Tennessee River Basin, USA: Endangered Species Research, v. 40, p. 91-105, https://doi.org/10.3354/esr00983.","productDescription":"15 p.","startPage":"91","endPage":"105","ipdsId":"IP-105866","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":459319,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/esr00983","text":"Publisher Index Page"},{"id":377530,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Georgia, Kentucky, Mississippi, North Carolina, Tennessee, Virginia","otherGeospatial":"Tennessee River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.450927734375,\n 34.07086232376631\n ],\n [\n -81.112060546875,\n 34.07086232376631\n ],\n [\n -81.112060546875,\n 37.09023980307208\n ],\n [\n -88.450927734375,\n 37.09023980307208\n ],\n [\n -88.450927734375,\n 34.07086232376631\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"40","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Perkin, Joshuah S.","contributorId":238286,"corporation":false,"usgs":false,"family":"Perkin","given":"Joshuah S.","affiliations":[{"id":47708,"text":"Department of Wildlife and Fisheries Sciences, Texas A&M University, College Station, TX","active":true,"usgs":false}],"preferred":false,"id":796237,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gibbs, W. Keith","contributorId":238287,"corporation":false,"usgs":false,"family":"Gibbs","given":"W.","email":"","middleInitial":"Keith","affiliations":[{"id":47709,"text":"Department of Biology, Tennessee Technological University, Cookeville, TN","active":true,"usgs":false}],"preferred":false,"id":796238,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ridgway, Josey Lee 0000-0003-4157-7255","orcid":"https://orcid.org/0000-0003-4157-7255","contributorId":238277,"corporation":false,"usgs":true,"family":"Ridgway","given":"Josey","email":"","middleInitial":"Lee","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":796239,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cook, S. Bradford","contributorId":238288,"corporation":false,"usgs":false,"family":"Cook","given":"S.","email":"","middleInitial":"Bradford","affiliations":[{"id":47709,"text":"Department of Biology, Tennessee Technological University, Cookeville, TN","active":true,"usgs":false}],"preferred":false,"id":796240,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70215183,"text":"70215183 - 2019 - Age and growth of Freshwater Drum and Gizzard Shad occupying two reservoir-river complexes with different groundwater contributions","interactions":[],"lastModifiedDate":"2020-10-09T13:21:13.389982","indexId":"70215183","displayToPublicDate":"2019-10-30T08:16:21","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":"Age and growth of Freshwater Drum and Gizzard Shad occupying two reservoir-river complexes with different groundwater contributions","docAbstract":"Restoring groundwater flow is a management option that improves water temperature regimes and benefits fishes. Although this strategy applies more readily to river systems, the thermal character of reservoirs is heavily influenced by inflowing rivers. We examined differences in age, structure, and growth of both Freshwater Drum Aplodinotus grunniens and Gizzard Shad Dorosoma cepedianum that occupy catchments with varying groundwater contributions in the south‐central United States. Seepage run data indicated that the Kiamichi River was losing surface water to groundwater in summer 2016, whereas groundwater inflows were apparent in the Elk River basin. Summer 2016 data showed that the Elk River had cooler water temperatures than the Kiamichi River and Grand Lake O’ the Cherokees water temperatures were similar to those in the incoming Elk River. We found higher densities of older Freshwater Drum and Gizzard Shad (maximums of 32 and 8 years old, respectively) in samples from the Grand basin than among fish that were sampled from the Kiamichi River basin (21 and 6 years old, respectively). Freshwater Drum grew at similar rates in both basins even though they reached larger maximum lengths in the Grand basin (649 mm TL) than in the Kiamichi River basin (600 mm). The average asymptotic length was greater for the Kiamichi population (L∞ = 613 mm) than for the Grand population (L∞ = 557 mm). Gizzard Shad from the Grand basin were larger than those from the Kiamichi River basin, though the latter population grew faster initially (Brody growth coefficient: K = 0.787 versus K = 0.179, respectively), but they had smaller asymptotic length (L∞ = 206 mm versus L∞ = 343 mm). The role that groundwater plays in temperature regulation in these basins partially explains the observed differences. Our results suggest that the metabolic theory of ecology can be applied to fisheries management at a finer spatial scale.
The U.S. Fish and Wildlife Service (FWS) manages wetlands and grasslands for wildlife habitat throughout the central North American Prairie Pothole Region (PPR). PPR wetlands, or potholes, are widely recognized as critical habitats for North American migratory waterfowl, waterbirds, and other wildlife. Potholes also provide other ecosystem services such as carbon sequestration, flood mitigation, filtration of pollutants, groundwater recharge, nutrient retention, and recreational opportunities. Wetland condition assessments have been completed nationally at coarse scales, but focused, regionwide assessments of the biological condition of potholes managed by the FWS are lacking. Therefore, FWS personnel require information pertaining to the biological condition and status of wetlands on FWS fee-title lands in the PPR to support management, restoration, and acquisition efforts. The biological condition of wetlands typically is reflected by their plant communities, and these communities correspond to past and current management and anthropogenic disturbances; thus, plant communities are a suitable surrogate of wetland condition.
This report describes the study design, selection of sample sites, and field survey methods for a wetland condition assessment for FWS fee-title lands in the PPR of North Dakota, South Dakota, and Montana. Various spatial databases were gathered (for example, National Wetlands Inventory) to identify and assess potholes on FWS fee-title lands and to facilitate the selection of study sites. A spatially balanced, site-selection process resulted in the inclusion of 125 temporarily and 125 seasonally ponded potholes distributed across the area of interest; the first 100 for each classification were considered the primary study sites, whereas the remaining 25 were considered an oversample to replace those deemed not appropriate for sampling by field crews. Study sites were within native prairie and reseeded grasslands on FWS National Wildlife Refuges and Waterfowl Production Areas and are distributed among the primary physiographic subregions of the PPR: the Glaciated Plains, Missouri Coteau, and Prairie Coteau; a small number of sites also are within the Lake Agassiz Plain and Turtle Mountains. Site assessment protocols, vegetation survey methods, data analyses, and condition categories (for example, poor, good, very good) for the wetland assessment are based on the North Dakota Rapid Assessment Method and an Index of Plant Community Integrity developed for potholes. Results of the wetland condition assessment will aid FWS staff in assessing past and current management and help to identify priority areas for future management and acquisition.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191118","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service and in collaboration with North Dakota State University","usgsCitation":"Tangen, B.A., Bansal, S., Fern, R.R., DeKeyser, E.S., Hargiss, C.L.M., Mushet, D.M., and Dixon, C.S., 2019, Study design and methods for a wetland condition assessment on U.S. Fish and Wildlife Service fee-title lands in the Prairie Pothole Region of North Dakota, South Dakota, and Montana, USA: U.S. Geological Survey Open-File Report 2019–1118, 24 p., https://doi.org/10.3133/ofr20191118.","productDescription":"Report: vi, 24 p.; Appendix Figure 3.1","numberOfPages":"34","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-111056","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":368679,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1118/ofr20191118.pdf","text":"Report","size":"973 kB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019–1118"},{"id":368680,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2019/1118/ofr20191118_appendix_fig_3.1.pdf","text":"Appendix figure 3.1","size":"176 kB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019–1118 Appendix Figure 1.3","linkHelpText":"– North Dakota Wetland Rapid Assessment Form"},{"id":368678,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1118/coverthb.jpg"}],"country":"United States","state":"North Dakota, South Dakota, Montana","otherGeospatial":"Prairie Pothole region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -97.1630859375,\n 48.60385760823255\n ],\n [\n -97.0751953125,\n 48.80686346108517\n ],\n [\n -96.9873046875,\n 49.35375571830993\n ],\n [\n -101.6015625,\n 49.35375571830993\n ],\n [\n -106.5234375,\n 49.03786794532644\n ],\n [\n -106.6552734375,\n 48.63290858589535\n ],\n [\n -105.380859375,\n 47.69497434186282\n ],\n [\n -105.29296874999999,\n 46.01222384063236\n ],\n [\n -104.32617187499999,\n 43.03677585761058\n ],\n [\n -102.48046875,\n 42.90816007196054\n ],\n [\n -96.1083984375,\n 42.52069952914966\n ],\n [\n -97.1630859375,\n 48.60385760823255\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Northern Prairie Wildlife Research Center
U.S. Geological Survey
8711 37th Street Southeast
Jamestown, ND 58401