An understanding of the applicability and utility of hydrologic models is critical to support the effective management of water resources throughout the Southeastern United States (SEUS) and Puerto Rico (PR). Hydrologic models have the capacity to provide an estimate of the quantity of available water at ungauged locations (i.e., areas of the country where a U.S. Geological Survey [USGS] continuous record gauge is not installed) and provide the baseline flow information necessary to develop the linkages between water availability and characteristics of streamflow that support ecological communities (i.e., support the development of flow-ecology response models). This report inventories and then directly examines and compares a subset of hydrologic models used to estimate streamflow at a number of gauged basins across the SEUS and PR. This effort was designed to evaluate, quantify, and compare the magnitude of error and to investigate the potential causes of error associated with predicted streamflows from seven hydrologic models of varying complexity and calibration strategy. This was accomplished by computing and then comparing classical hydrologic model fit statistics (e.g., mean bias, coefficient of determination [R2], root mean squared error [RMSE], Nash-Sutcliffe Efficiency [NSE]) and understanding the bias in the prediction in these and a subset of ecologically relevant flow metrics (ERFMs). Additionally, streamflow predictions from a larger regional-scale hydrologic model were compared to those of several fine-scale hydrologic models under a range of hypothetical climate change scenarios to determine the range of predicted streamflow responses to fixed climate perturbations. A pilot study was conducted using predicted streamflow and boosted regression trees to develop a set of predictive flow-ecology response models to assess the potential change in fish species richness in the North Carolina Piedmont under several scenarios of water availability change. This report is intended to provide a general assessment of all the tools and techniques available to support hydrologic modeling for flow-ecology science in the SEUS and PR. It is our hope that the approach used herein to understand differences in streamflow predictions among a subset of hydrologic models that have been applied in the SEUS for developing flow-ecology response models will provide water resource managers and stakeholders with an informed pathway for developing the capacity to link streamflow and ecological response and an understanding of some of the limitations associated with these type of modeling efforts.
","language":"English","publisher":"U.S. Department of Agriculture Forest Service","usgsCitation":"Caldwell, P.V., Kennen, J., Hain, E.F., Nelson, S.A., Sun, G., and McNulty, S., 2020, Hydrologic modeling for flow-ecology science in the Southeastern United States and Puerto Rico: General Technical Report SRS-246, iii, 77 p.","productDescription":"iii, 77 p.","ipdsId":"IP-098574","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":372111,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":372091,"type":{"id":15,"text":"Index Page"},"url":"https://www.srs.fs.usda.gov/pubs/59109"}],"country":"United States","state":"Alabama, Florida, Georgia, Mississippi, North Carolina, Puerto Rico, South Carolina, Tennessee, Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.06640625,\n 30.44867367928756\n ],\n [\n -85.25390625,\n 29.611670115197377\n ],\n [\n -84.287109375,\n 29.99300228455108\n ],\n [\n -82.880859375,\n 28.998531814051795\n ],\n [\n -81.298828125,\n 30.675715404167743\n ],\n [\n -78.31054687499999,\n 33.50475906922609\n ],\n [\n -75.849609375,\n 34.66935854524543\n ],\n [\n -75.673828125,\n 36.10237644873644\n ],\n [\n -76.552734375,\n 36.527294814546245\n ],\n [\n -80.068359375,\n 36.66841891894786\n ],\n [\n -80.771484375,\n 37.3002752813443\n ],\n [\n -82.08984375,\n 37.3002752813443\n ],\n [\n -83.84765625,\n 36.4566360115962\n ],\n [\n -87.5390625,\n 35.60371874069731\n ],\n [\n -89.736328125,\n 34.813803317113155\n ],\n [\n -89.56054687499999,\n 30.44867367928756\n ],\n [\n -88.06640625,\n 30.44867367928756\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -67.2747802734375,\n 17.868975338932746\n ],\n [\n -65.23681640625,\n 17.868975338932746\n ],\n [\n -65.23681640625,\n 18.531700307384043\n ],\n [\n -67.2747802734375,\n 18.531700307384043\n ],\n [\n -67.2747802734375,\n 17.868975338932746\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Caldwell, Peter V.","contributorId":222249,"corporation":false,"usgs":false,"family":"Caldwell","given":"Peter","email":"","middleInitial":"V.","affiliations":[{"id":39172,"text":"USDA Forest Service, Center for Forest Watershed Science, Coweeta Hydrologic Laboratory, Otto, NC, USA","active":true,"usgs":false}],"preferred":false,"id":781654,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kennen, Jonathan G. 0000-0002-5426-4445 jgkennen@usgs.gov","orcid":"https://orcid.org/0000-0002-5426-4445","contributorId":574,"corporation":false,"usgs":true,"family":"Kennen","given":"Jonathan G.","email":"jgkennen@usgs.gov","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":781653,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hain, Ernie F.","contributorId":141247,"corporation":false,"usgs":false,"family":"Hain","given":"Ernie","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":781655,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nelson, Stacy A.C.","contributorId":222250,"corporation":false,"usgs":false,"family":"Nelson","given":"Stacy","email":"","middleInitial":"A.C.","affiliations":[{"id":39171,"text":"Center for Geospatial Analytics, Department of Forestry and Environmental Resources, North Carolina State University, Raleigh, NC, 27695, USA","active":true,"usgs":false}],"preferred":false,"id":781656,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sun, Ge","contributorId":145893,"corporation":false,"usgs":false,"family":"Sun","given":"Ge","email":"","affiliations":[{"id":6684,"text":"USDA Forest Service, Southern Research Station, Aiken, SC","active":true,"usgs":false}],"preferred":false,"id":781657,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McNulty, Steven G.","contributorId":222251,"corporation":false,"usgs":false,"family":"McNulty","given":"Steven G.","affiliations":[{"id":39173,"text":"USDA Forest Service, Eastern Forest Environmental Threat Assessment Center, Raleigh, NC, USA","active":true,"usgs":false}],"preferred":false,"id":781658,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70208680,"text":"70208680 - 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SOD was determined in situ using chambers equipped with optical dissolved oxygen sensors. The benthic nutrient fluxes of ammonia (NH3), nitrite + nitrate (plus ions; here, referred to as NO32), soluble reactive phosphorous (SRP), and dissolved silica (SiO2) were measured with in situ equilibrium dialysis samplers. Measurements were made at nine stations around the periphery and at three mid-Bay locations from August 2012 to October 2013. The SOD ranged from −1.5 to −8.4 g of oxygen (O2) m−2 d−1. The SOD rates varied as a function of water temperature and followed the van't Hoff rate equation for change in reaction rate with temperature, with a temperature coefficient (Θ) that varied among sites and averaged 1.083. The highest SOD rates in the bay were measured near the mouth of the Toms River embayment. Concentrations in the upper 1 m of sediment pore water were found up to 23 mg N L−1 for NH4+ and 6.7 mg P L−1 for SRP. Maximum measured fluxes into the overlying water were 3.0 × 10−2 g NH3–N m−2 d−1, 7.0 × 10−4 g NO32–N m−2 d−1, 1.9 × 10−3 g P m−2 d−1, and 3.6 × 10−3g SiO2 m−2 d−1. Using the measured benthic N and P fluxes, daily nutrient inputs derived from sediment recycling are shown to be comparable in scale to freshwater tributary inputs to the bay.","language":"English","publisher":"Coastal Education and Research Foundation, Inc","doi":"10.2112/SI78-005.1","usgsCitation":"Wilson, T., and DePaul, V.T., 2020, In situ benthic nutrient flux and sediment oxygen demand in Barnegat Bay, New Jersey: Journal of Coastal Research, v. 78, p. 46-59, https://doi.org/10.2112/SI78-005.1.","productDescription":"14 p.","startPage":"46","endPage":"59","ipdsId":"IP-069751","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":437221,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7KD1WC3","text":"USGS data release","linkHelpText":"Benthic pore water and sediment data Barnegat Bay, New Jersey, 2012-2013"},{"id":372593,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Jersey","otherGeospatial":"Barnegat Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.22019958496094,\n 39.665970875883175\n ],\n [\n -74.1796875,\n 39.6458824809188\n ],\n [\n -74.09660339355469,\n 39.768436410838426\n ],\n [\n -74.08561706542969,\n 39.92132255884663\n ],\n [\n -74.10621643066406,\n 39.95185892663005\n ],\n [\n -74.12200927734375,\n 39.93817189499188\n ],\n [\n -74.13848876953125,\n 39.8992015115692\n ],\n [\n -74.13986206054688,\n 39.86969567045658\n ],\n [\n -74.14398193359375,\n 39.85072092501597\n ],\n [\n -74.17076110839844,\n 39.82224896999684\n ],\n [\n -74.18792724609375,\n 39.79482037706643\n ],\n [\n -74.1961669921875,\n 39.7631584037253\n ],\n [\n -74.19548034667969,\n 39.74837783143156\n ],\n [\n -74.1796875,\n 39.73676229957947\n ],\n [\n -74.17625427246094,\n 39.72461669561139\n ],\n [\n -74.17556762695312,\n 39.71035608240133\n ],\n [\n -74.19479370117188,\n 39.69345079688953\n ],\n [\n -74.21401977539062,\n 39.67706985250899\n ],\n [\n -74.22225952148438,\n 39.67072779849953\n ],\n [\n -74.22019958496094,\n 39.665970875883175\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"78","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wilson, Timothy P. 0000-0003-1914-6344","orcid":"https://orcid.org/0000-0003-1914-6344","contributorId":219174,"corporation":false,"usgs":true,"family":"Wilson","given":"Timothy P.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":782978,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DePaul, Vincent T. 0000-0002-7977-5217 vdepaul@usgs.gov","orcid":"https://orcid.org/0000-0002-7977-5217","contributorId":2778,"corporation":false,"usgs":true,"family":"DePaul","given":"Vincent","email":"vdepaul@usgs.gov","middleInitial":"T.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":782979,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70207246,"text":"70207246 - 2019 - Exposure and potential effects of pesticides and pharmaceuticals in protected streams of the US National Park Service southeast Region","interactions":[],"lastModifiedDate":"2020-01-20T11:54:41","indexId":"70207246","displayToPublicDate":"2019-12-13T12:31:10","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Exposure and Potential Effects of Pesticides and Pharmaceuticals in Protected Streams of the US National Park Service Southeast Region","title":"Exposure and potential effects of pesticides and pharmaceuticals in protected streams of the US National Park Service southeast Region","docAbstract":"Globally protected areas offer refugia for a broad range of taxa including threatened and endangered species. The United States National Park Service (NPS) manages public lands to preserve biodiversity, but increasing park visitation and development of surrounding landscapes increase exposure to and effects from bioactive contaminants. The risk (exposure and hazard) to NPS protected-stream ecosystems within the highly urbanized southeast region (SER) from bioactive contaminants was assessed in five systems based on 334 pesticide and pharmaceutical analytes in water and 119 pesticides in sediment. Contaminant mixtures were common across all sampled systems, with approximately 24% of the unique analytes (80/334) detected at least once and 15% (49/334) detected in half of the surface-water samples. Pharmaceuticals were observed more frequently than pesticides, consistent with riparian buffers and concomitant spatial separation from non-point pesticide sources in four of the systems. To extrapolate exposure data to biological effects space, site specific cumulative exposure-activity ratios (ΣEAR) were calculated for detected surface-water contaminants with available ToxCast data; common exceedances of a 0.001 ΣEAR effects-screening threshold raise concerns for molecular toxicity and possible, sub-lethal effects to non-target, aquatic vertebrates. The results illustrate the need for continued management of protected resources to reduce contaminant exposure and preserve habitat quality, including prioritization of conservation practices (riparian buffers) near stream corridors and increased engagement with upstream/up-gradient property owners and municipal wastewater facilities.","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2019.135431","usgsCitation":"Bradley, P., Romanok, K., Duncan, J.R., Battaglin, W., Clark, J., Hladik, M.L., Huffman, B., Iwanowicz, L., Journey, C., and Smalling, K., 2019, Exposure and potential effects of pesticides and pharmaceuticals in protected streams of the US National Park Service southeast Region: Science of the Total Environment, v. 704, 135431, 12 p., https://doi.org/10.1016/j.scitotenv.2019.135431.","productDescription":"135431, 12 p.","ipdsId":"IP-105724","costCenters":[{"id":154,"text":"California Water Science 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Center","active":true,"usgs":true}],"preferred":true,"id":777436,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Huffman, Bradley","contributorId":221230,"corporation":false,"usgs":true,"family":"Huffman","given":"Bradley","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":777437,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Iwanowicz, Luke 0000-0002-1197-6178","orcid":"https://orcid.org/0000-0002-1197-6178","contributorId":221231,"corporation":false,"usgs":true,"family":"Iwanowicz","given":"Luke","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":777438,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Journey, Celeste A. 0000-0002-2284-5851","orcid":"https://orcid.org/0000-0002-2284-5851","contributorId":221232,"corporation":false,"usgs":true,"family":"Journey","given":"Celeste A.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":777439,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Smalling, Kelly L. 0000-0002-1214-4920","orcid":"https://orcid.org/0000-0002-1214-4920","contributorId":221234,"corporation":false,"usgs":true,"family":"Smalling","given":"Kelly","middleInitial":"L.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":777441,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70206501,"text":"70206501 - 2019 - Urban stormwater: An overlooked pathway of extensive mixed contaminants to surface and groundwaters in the United States","interactions":[],"lastModifiedDate":"2019-12-06T10:46:24","indexId":"70206501","displayToPublicDate":"2019-08-21T14:00:53","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Urban stormwater: An overlooked pathway of extensive mixed contaminants to surface and groundwaters in the United States","docAbstract":"Increasing global reliance on stormwater control measures to reduce discharge to surface water, increase groundwater recharge, and minimize contaminant delivery to receiving waterbodies necessitates improved understanding of stormwater-contaminant profiles. A multi-agency study of organic and inorganic chemicals in urban stormwater from 50 runoff events at 21 sites across the United States demonstrated that stormwater transports substantial mixtures of polycyclic aromatic hydrocarbons, bioactive contaminants (pesticides and pharmaceuticals), and other organic chemicals known or suspected to pose environmental health concern. Numerous organic-chemical detections per site (median number of chemicals detected = 73), individual concentrations exceeding 10,000 ng/L, and cumulative concentrations up to 263,000 ng/L suggested concern for potential environmental effects during runoff events. Organic concentrations, loads, and yields were positively correlated with impervious surfaces and highly developed urban catchments. Episodic storm-event organic concentrations and loads were comparable to and often exceeded those of daily wastewater plant discharges. Inorganic chemical concentrations were generally dilute in concentration and did not exceed chronic aquatic life criteria. Methylmercury was measured in 90% of samples with concentrations that ranged from 0.05 to 1.0 ng/L.","language":"English","publisher":"Environmental Science and Technology","doi":"10.1021/acs.est.9b02867","usgsCitation":"Masoner, J.R., Kolpin, D., Cozzarelli, I.M., Barber, L.B., Burden, D., Foreman, W.T., Forshay, K.J., Furlong, E., Groves, J.F., Hladik, M.L., Hopton, M.E., Jaeschke, J.B., Keefe, S.H., Krabbenhoft, D., Lowrance, R., Romanok, K., Rus, D.L., Selbig, W.R., Williams, B., and Bradley, P., 2019, Urban stormwater: An overlooked pathway of extensive mixed contaminants to surface and groundwaters in the United States: Environmental Science & Technology, v. 53, no. 17, p. 10070-10081, https://doi.org/10.1021/acs.est.9b02867.","productDescription":"12 p.","startPage":"10070","endPage":"10081","ipdsId":"IP-098988","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":208,"text":"Core Science Analytics and 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Paul","contributorId":204643,"corporation":false,"usgs":true,"family":"Bradley","given":"Paul","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":776854,"contributorType":{"id":1,"text":"Authors"},"rank":20}]}} ,{"id":70203807,"text":"sir20195055 - 2019 - Use of set blanks in reporting pesticide results at the U.S. Geological Survey National Water Quality Laboratory, 2001-15","interactions":[],"lastModifiedDate":"2021-05-27T13:27:52.302572","indexId":"sir20195055","displayToPublicDate":"2019-08-09T09:50:00","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":"2019-5055","displayTitle":"Use of Set Blanks in Reporting Pesticide Results at the U.S. Geological Survey National Water Quality Laboratory, 2001–15","title":"Use of set blanks in reporting pesticide results at the U.S. Geological Survey National Water Quality Laboratory, 2001-15","docAbstract":"Background.—Pesticide results from the U.S. Geological Survey (USGS) National Water Quality Laboratory (NWQL) are used for water-quality assessments by many agencies and organizations. The USGS is committed to providing data of the highest possible quality to the consumers of its data. A cooperator’s inquiries about specific pesticide detections in water revealed potential laboratory contamination issues for some results. Consequently, the USGS conducted an extensive evaluation of potential low-level contamination related to processing or analysis of water-quality samples at NWQL for 21 pesticide compounds of interest to the cooperator. This is the most comprehensive study of NWQL pesticide quality-control (QC) results to date.
Purpose and scope.—The purpose of this study was to document protocols used by the NWQL to censor pesticide results and to determine the effects of laboratory contamination—as determined from detections in laboratory set blanks—on pesticide detections in groundwater and surface-water samples. More than 30,000 pesticide results from 113 selected batches of samples (2 percent or less of total batches) analyzed by the NWQL during the 15 years from 2001 to 2015 were reviewed. All laboratory results from the selected batches, including results from environmental (surface water and groundwater) and QC (set-blank, blind-blank, and blind-spike) samples, were evaluated. The study includes results for 21 pesticide compounds analyzed in groundwater and surface-water samples collected across the United States. Eleven pesticide compounds were analyzed by a gas chromatography/mass spectrometry method and 10 compounds by a liquid chromatography/mass spectrometry method.
Objectives and methods.—The objectives of this study were to (1) determine the characteristics of laboratory contamination over time, (2) compare distributions of pesticide results in set blanks with distributions in environmental samples, (3) evaluate the potential for false-positive and false-negative reporting of results, and (4) evaluate the effects of reevaluating historical pesticide results using 2017 compound identification protocols on detections of pesticides in groundwater and surface-water samples. The 113 instrument batches selected for this study contained detections of one or more of the 21 pesticide compounds in set blanks or were among those batches with the highest pesticide detection frequencies in set blanks. As a result, the dataset for this study was targeted toward pesticides and batches with laboratory contamination. The objectives were addressed by statistically comparing environmental and set-blank results; computing moving averages of set-blank detection frequencies to identify periods of episodic contamination; and using summary statistics, tabular summaries, and graphical approaches, such as time-series plots and cumulative distribution functions.
Results.—Objective 1: Laboratory contamination, as determined by pesticide detections in set blanks, was found in 13 percent of set-blank results from the 113 targeted batches included in this study (as compared to 6 percent of set-blank results from all 7,620 batches analyzed during the study period). It is estimated that 92 percent of the laboratory contamination during the study period was episodic, meaning that it occurred during discrete periods of time. All 21 of the targeted pesticide compounds had periods of episodic contamination, with most episodes ranging in duration from about 1 to 8 months. The remaining 8 percent of laboratory contamination was random or from a known source (deterministic).
Objective 2: For some compounds, graphs of cumulative distribution functions of the entire distributions of set-blank and environmental samples overlap, suggesting that there is no difference in the distributions of the two types of samples. However, time-series graphs show that detections in set blanks often occur at different times (sometimes separated by years) than detections in environmental samples, indicating clear differences in those distributions, and indicating the importance of evaluating the timing of detections in all sample types.
For most compounds detected in set-blank and environmental samples, detection frequencies were significantly greater in set blanks than in groundwater or surface-water samples (p<0.05). There are several explanations for this finding, including that the 113 batches of samples chosen for this study targeted batches with detections in set blanks or that detections in set-blank samples were historically determined with less stringent identification criteria than for environmental samples (groundwater and surface-water samples).
Objective 3: The false-positive and false-negative rates from blind samples submitted during the study period by the USGS Quality Systems Branch generally were less than 1 and 5 percent, respectively, for the 21 pesticides. The only compound with a false-positive rate greater than 1 percent was flumetsulam (2.6 percent), indicating that there is a higher likelihood of flumetsulam being reported as a detection when it is not present in an environmental sample compared with the reporting of other compounds.
Objective 4: Altogether, for data in targeted batches, NWQL would have reported 0.1 percent of results from groundwater samples and 1.4 percent of results from surface-water samples differently if 2017 identification protocols were applied to historical pesticide results. In most of these cases, detections observed in historical results would change to nondetections. The small percentages of changes that would occur if historical data were reevaluated indicate that historical protocols used by the NWQL to identify detections in environmental samples were robust and produced results that are predominantly consistent with current [2017] practices.
Conclusions.—The NWQL produces high-quality pesticide results at environmentally relevant concentrations. NWQL identification protocols and censoring practices are largely effective at minimizing the reporting of false-positive and false-negative results. Laboratory contamination, when it occurred, tended to occur in episodes; thus, evaluating the timing and magnitude of detections in set blanks relative to detections in environmental samples was determined to be an important consideration for analysis of environmental results. Because NWQL censoring practices do not address all types and occurrences of laboratory contamination, options for additional censoring practices are provided for data users with more specific or stringent data-quality objectives. The methods used to analyze the 21 compounds for this report can similarly be applied to all 173 pesticide compounds that were analyzed by the NWQL during the same time period. This study also has helped to identify potential improvements in reporting USGS data, such as conducting more frequent review of set-blank datasets.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195055","usgsCitation":"Medalie, L., Sandstrom, M.W., Toccalino, P.L., Foreman, W.T., ReVello, R.C., Bexfield, L.M., and Riskin, M.L., 2019, Use of set blanks in reporting pesticide results at the U.S. Geological Survey National Water Quality Laboratory, 2001–15: U.S. Geological Survey Scientific Investigations Report 2019–5055, 147 p., https://doi.org/10.3133/sir20195055.","productDescription":"Report: viii, 147 p.; Appendices 1.1-1.5; Data Release; Project Website","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-090167","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":5046,"text":"Branch of Analytical Serv (NWQL)","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":366353,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5055/sir20195055.pdf","text":"Report","size":"7.95 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019-5055"},{"id":366352,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5055/coverthb.jpg"},{"id":366356,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F70G3HN9","text":"USGS data 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Groundwater supplies 50% of drinking water worldwide, but compromised water quality from anthropogenic and geogenic contaminants can limit usage of groundwater as a drinking water source. Groundwater quality in the glacial aquifer system, USA (GLAC), is presented in the context of a hydrogeologic framework that divides the study area into 17 hydrogeologic terranes. Results are reported at aquifer-system scale and regional (terrane) scale. This paper presents a quantitative assessment of groundwater quality in the GLAC using data from numerous sources for samples collected 2005–2013, compared to health-based and aesthetic (non-health) benchmarks, and evaluated with areal and population metrics. Concentrations above a benchmark are considered high. Trace elements are widespread across the study area, with an estimated 5.7 million people relying on groundwater with high concentrations of one or more trace elements; manganese and arsenic are most often at high concentration. Nitrate is found at high concentration in 4.0% of the study area, serving about 740 thousand people. Organic compounds including pesticides and volatile organic compounds are high in 2.0% of the assessed study area, with about 870 thousand people relying on groundwater with high concentrations of an organic compound. High arsenic and manganese concentrations occur primarily in the terranes with thick, stratigraphically complex, fine-grained glacial sediment, coincident with groundwater under reducing conditions (indicated by iron concentrations >100 μg/L); high nitrate is uncommon in those same terranes. When nitrate is high in thick, fine-grained, complex terranes, though, it is much more commonly associated with groundwater under more oxidizing conditions. Common geogenic trace elements occur at high concentration due to characteristic geologic and geochemical conditions. Conversely, anthropogenic nitrate and organic compounds are introduced at or near the land surface. High concentrations of nitrate or organic compounds are generally limited to areas in proximity where people live and use the chemicals.
Infections from antibiotic resistant microorganisms are considered to be one of the greatest global public health challenges that result in huge annual economic losses. While genes that impart resistance to antibiotics (AbR) existed long before the discovery and use of antibiotics, anthropogenic uses of antibiotics in agriculture, domesticated animals, and humans are known to influence the prevalence of these genes in pathogenic microorganisms. It is critical to understand the role that natural and anthropogenic processes have on the occurrence and distribution of antibiotic resistance in microbial populations to minimize health risks associated with exposures. As part of this research, 15 antibiotic resistance genes were analyzed in coastal sediments and soils along the eastern seaboard of the USA using presence/absence quantitative and digital polymerase chain reaction assays. Samples (53 soil and 192 sediment samples including 54 replicates) were collected from a variety of coastal settings where human and wildlife exposure is likely. At least one of the antibiotic resistance genes was detected in 76.4% of the samples. Samples that contained at least five or more antibiotic resistance genes (5.7%) where typically hydrologically down gradient of watersheds influenced by combined sewer outfalls (CSO). The most frequently detected antibiotic resistance target genes were found in 33.2%, 34.4%, and 42.2% of samples (target genes blaSHV, tetO, and aadA2, respectively). These data provide unique insight into potential exposure of AbR genes over a large geographical region of the eastern seaboard of the USA.
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tjreilly@usgs.gov","orcid":"https://orcid.org/0000-0002-2939-3050","contributorId":1858,"corporation":false,"usgs":true,"family":"Reilly","given":"Timothy","email":"tjreilly@usgs.gov","middleInitial":"J.","affiliations":[{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true},{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":769599,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jones, Daniel K. 0000-0003-0724-8001 dkjones@usgs.gov","orcid":"https://orcid.org/0000-0003-0724-8001","contributorId":4959,"corporation":false,"usgs":true,"family":"Jones","given":"Daniel","email":"dkjones@usgs.gov","middleInitial":"K.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":769600,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70203653,"text":"70203653 - 2019 - Managing the trifecta of disease, climate, and contaminants: Searching for robust choices under multiple sources of uncertainty","interactions":[],"lastModifiedDate":"2019-05-30T15:37:14","indexId":"70203653","displayToPublicDate":"2019-05-30T15:36:22","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Managing the trifecta of disease, climate, and contaminants: Searching for robust choices under multiple sources of uncertainty","docAbstract":"Wood frogs, like other amphibian species worldwide, are experiencing population declines due to multiple stressors. In the northeastern United States, wood frog declines are thought to result from a reduction in successful metamorphosis in part due to climate change, disease (specifically ranavirus) and contaminant exposure. The presence of multiple stressors can increase uncertainty in characterizing the main effects of each stressor, as well as understanding the degree to which their effects interact (additively or synergistically) to impact populations. This uncertainty adds inherent challenges to selecting appropriate management actions for conserving populations. Finding solutions that are robust to these uncertainties can improve management amid absent or equivocal knowledge. We used a Bayesian Belief Network (BBN), a quantitative tool that allowed us to evaluate how potential management actions might mitigate the effects of increasingly frequent and severe droughts, ranavirus exposure, and methylmercury on wood frog populations in the northeastern US. In our system, successful wood frog recruitment was largely driven by hydroperiod regardless of other stressors. Our modelling indicated that increased hydroperiod lowered the probability of complete metamorphosis failure from 0.6 to 0.37, suggesting that under the conditions tested in the model, pond hydrology, is more important for successful recruitment than either methylmercury or ranavirus exposure. As more information becomes available on stressor interactions, model scenarios could be re-run and management options re-evaluated.","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2019.05.026","usgsCitation":"Smalling, K., Eagles-Smith, C., Katz, R.A., and Grant, E., 2019, Managing the trifecta of disease, climate, and contaminants: Searching for robust choices under multiple sources of uncertainty: Biological Conservation, v. 236, p. 153-161, https://doi.org/10.1016/j.biocon.2019.05.026.","productDescription":"9 p.","startPage":"153","endPage":"161","ipdsId":"IP-102933","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":467579,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.biocon.2019.05.026","text":"Publisher Index Page"},{"id":364263,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"236","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Smalling, Kelly 0000-0002-1214-4920 ksmall@usgs.gov","orcid":"https://orcid.org/0000-0002-1214-4920","contributorId":215924,"corporation":false,"usgs":true,"family":"Smalling","given":"Kelly","email":"ksmall@usgs.gov","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":763422,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eagles-Smith, Collin 0000-0003-1329-5285 ceagles-smith@usgs.gov","orcid":"https://orcid.org/0000-0003-1329-5285","contributorId":215925,"corporation":false,"usgs":true,"family":"Eagles-Smith","given":"Collin","email":"ceagles-smith@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":763423,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Katz, Rachel A.","contributorId":149995,"corporation":false,"usgs":false,"family":"Katz","given":"Rachel","email":"","middleInitial":"A.","affiliations":[{"id":17882,"text":"Odum School of Ecology, University of Georgia","active":true,"usgs":false}],"preferred":false,"id":763424,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grant, Evan","contributorId":215926,"corporation":false,"usgs":true,"family":"Grant","given":"Evan","email":"","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":763425,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70204090,"text":"70204090 - 2019 - The complex spatial distribution of trichloroethene and the probability of NAPL occurrence in the rock matrix of a mudstone aquifer","interactions":[],"lastModifiedDate":"2019-07-03T16:02:34","indexId":"70204090","displayToPublicDate":"2019-04-09T15:41:43","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2233,"text":"Journal of Contaminant Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"The complex spatial distribution of trichloroethene and the probability of NAPL occurrence in the rock matrix of a mudstone aquifer","docAbstract":"Methanol extractions for chloroethene analyses are conducted on rock samples from seven closely spaced coreholes in a mudstone aquifer that was subject to releases of the nonaqueous phase liquid (NAPL) form of trichloroethene (TCE) between the 1950's and 1990's. Although TCE concentration in the rock matrix over the length of coreholes is dictated by proximity to subhorizontal bedding planefractures, elevated TCE concentrations in the rock matrix are not continuous along the most permeable bedding plane fractures. A complex configuration of subvertical and subhorizontal fractures appears to be responsible for the TCE distribution from prior TCE releases at land surface. Phase partitioning calculations of TCE in the rock matrix show that most TCE is adsorbed to solid surfaces because of the large fraction of organic carbon (foc) in the mudstone. Large TCE content in some cores indicate the likely presence of the NAPL form of TCE in the rock matrix. Using average values of porosity (n) and foc in phase partitioning calculations identifies a number of locations of possible NAPL occurrence in the rock matrix. Samples of mudstone analyzed for n and foc show variability in these properties over several orders of magnitude. Accounting for this variability in phase partitioning calculations identifies a probability of NAPL occurrence, PNAPL. The spatial variability of PNAPL along coreholes identifies a configuration that may be attributed to a TCE source zone that has evolved after emplacement due to NAPL dissolution, adsorption, and matrix diffusion.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jconhyd.2019.04.001","usgsCitation":"Shapiro, A.M., Goode, D.J., Imbrigiotta, T.E., Lorah, M.M., and Tiedeman, C.R., 2019, The complex spatial distribution of trichloroethene and the probability of NAPL occurrence in the rock matrix of a mudstone aquifer: Journal of Contaminant Hydrology, v. 233, 103478; 14 p., https://doi.org/10.1016/j.jconhyd.2019.04.001.","productDescription":"103478; 14 p.","ipdsId":"IP-103048","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":467713,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jconhyd.2019.04.001","text":"Publisher Index Page"},{"id":437502,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7P55MD8","text":"USGS data release","linkHelpText":"Concentrations of Chlorinated Ethene Compounds in Rock Core Collected from the Mudstone Underlying the former Naval Air Warfare Center, West Trenton, New Jersey"},{"id":365294,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Jersey","city":"West Trenton","otherGeospatial":"Newark Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.8144268989563,\n 40.268196648437474\n ],\n [\n -74.80998516082764,\n 40.26757447962916\n ],\n [\n -74.80850458145142,\n 40.2704560554525\n ],\n [\n -74.81170177459717,\n 40.272715386988686\n ],\n [\n -74.81320381164551,\n 40.27173307820388\n ],\n [\n -74.8144268989563,\n 40.268196648437474\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"233","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Shapiro, Allen M. 0000-0002-6425-9607 ashapiro@usgs.gov","orcid":"https://orcid.org/0000-0002-6425-9607","contributorId":2164,"corporation":false,"usgs":true,"family":"Shapiro","given":"Allen","email":"ashapiro@usgs.gov","middleInitial":"M.","affiliations":[{"id":37277,"text":"WMA - 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Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":765436,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70202915,"text":"70202915 - 2019 - Fungicides: An overlooked pesticide class?","interactions":[],"lastModifiedDate":"2019-04-03T14:32:19","indexId":"70202915","displayToPublicDate":"2019-03-05T14:25:49","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Fungicides: An overlooked pesticide class?","docAbstract":"Fungicides are indispensable to global food security and their use is forecasted to intensify. Fungicides can reach aquatic ecosystems and occur in surface water bodies in agricultural catchments throughout the whole growing season due to their frequent, prophylactic application. However, in comparison to herbicides and insecticides, the exposure to and effects of fungicides have received less attention. We provide an overview of the risk of fungicides to aquatic ecosystems covering fungicide exposure (i.e., environmental fate, exposure modelling, and mitigation measures) as well as direct and indirect effects of fungicides on microorganisms, macrophytes, invertebrates, and vertebrates. We show that fungicides occur widely in aquatic systems, that the accuracy of predicted environmental concentrations is debatable, and that fungicide exposure can be effectively mitigated. We additionally demonstrate that fungicides can be highly toxic to a broad range of organisms and can pose a risk to aquatic biota. Finally, we outline central research gaps that currently challenge our ability to predict fungicide exposure and effects, promising research avenues, and shortcomings of the current environmental risk assessment for fungicides.","language":"English","doi":"10.1021/acs.est.8b04392","usgsCitation":"Zubrod, J., Bundschuh, M., Arts, G., Bruhl, C., Imfeld, G., Knabel, A., Payraudeau, S., Rasmussen, J.J., Rohr, J., Scharmuller, A., Smalling, K., Stehle, S., Schäfer, R., and Schulz, R., 2019, Fungicides: An overlooked pesticide class?: Environmental Science & Technology, v. 53, no. 7, p. 3347-3365, https://doi.org/10.1021/acs.est.8b04392.","productDescription":"19 p.","startPage":"3347","endPage":"3365","ipdsId":"IP-100875","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":467841,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.est.8b04392","text":"Publisher Index Page"},{"id":362718,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"53","issue":"7","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2019-03-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Zubrod, Jochen","contributorId":214624,"corporation":false,"usgs":false,"family":"Zubrod","given":"Jochen","email":"","affiliations":[{"id":39087,"text":"Institute for Environmental Sciences, University of Koblenz-Landau","active":true,"usgs":false}],"preferred":false,"id":760439,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bundschuh, Micro","contributorId":214625,"corporation":false,"usgs":false,"family":"Bundschuh","given":"Micro","email":"","affiliations":[{"id":39088,"text":"Eußerthal Ecosystem Research Station, University of Koblenz-Landau","active":true,"usgs":false}],"preferred":false,"id":760440,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arts, Gertie","contributorId":214626,"corporation":false,"usgs":false,"family":"Arts","given":"Gertie","email":"","affiliations":[{"id":39089,"text":"Alterra, Wageningen University and Research Centre","active":true,"usgs":false}],"preferred":false,"id":760441,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bruhl, Carsten","contributorId":179238,"corporation":false,"usgs":false,"family":"Bruhl","given":"Carsten","affiliations":[],"preferred":false,"id":760466,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Imfeld, Gwenael","contributorId":214632,"corporation":false,"usgs":false,"family":"Imfeld","given":"Gwenael","email":"","affiliations":[{"id":39090,"text":"Laboratoire d'Hydrologie et de Géochimie de 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University, Dept. of Bioscience","active":true,"usgs":false}],"preferred":false,"id":760444,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Rohr, Jason","contributorId":214630,"corporation":false,"usgs":false,"family":"Rohr","given":"Jason","affiliations":[{"id":7163,"text":"University of South Florida","active":true,"usgs":false}],"preferred":false,"id":760445,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Scharmuller, Andreas","contributorId":214631,"corporation":false,"usgs":false,"family":"Scharmuller","given":"Andreas","email":"","affiliations":[{"id":39087,"text":"Institute for Environmental Sciences, University of Koblenz-Landau","active":true,"usgs":false}],"preferred":false,"id":760446,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Smalling, Kelly L. 0000-0002-1214-4920","orcid":"https://orcid.org/0000-0002-1214-4920","contributorId":214623,"corporation":false,"usgs":true,"family":"Smalling","given":"Kelly L.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":760438,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Stehle, Sebastian","contributorId":214633,"corporation":false,"usgs":false,"family":"Stehle","given":"Sebastian","email":"","affiliations":[{"id":39087,"text":"Institute for Environmental Sciences, University of Koblenz-Landau","active":true,"usgs":false}],"preferred":false,"id":760448,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Schäfer, Ralf B.","contributorId":214634,"corporation":false,"usgs":false,"family":"Schäfer","given":"Ralf B.","affiliations":[{"id":39087,"text":"Institute for Environmental Sciences, University of Koblenz-Landau","active":true,"usgs":false}],"preferred":false,"id":760450,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Schulz, 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Determining the influence of site characteristics on amphibian presence and success is vital to developing effective conservation strategies. We used occupancy analysis to estimate presence of four anuran species at wetlands in northern Iowa as a function of eight environmental covariates hypothesized to affect occupancy: fish and salamander abundance, invertebrate density, aquatic vegetative cover, wetland area, atrazine concentration in water, surrounding agricultural land use, and an overall wetland health score (wetland condition index [WCI]). We surveyed 27 wetlands multiple times in 2015 and 2016. Leopard Frogs (Lithobates pipiens) and American Toads (Anaxyrus americanus) were observed at 100% of the sites, Boreal Chorus Frogs (Pseudacris maculata) at 96%, and Gray Treefrogs (Hyla spp.) at 81%. Wetland site occupancy for all species in our study ranged from 0.23 (Hyla spp. tadpoles) to 0.95 (L. pipiens adults), indicating that agricultural wetlands can provide refuge or habitat for amphibians. Fish abundance, percentage of cropland cover within 500 m of the wetland, and salamander abundance were among the variables best supported by our models although their estimated effects were weak. Wetland area, atrazine concentration, vegetative cover, and WCI also influenced occupancy probability, but for only a small number of species and life stages. The direction of predicted effects varied by species and life stage. Despite only weak evidence that the environmental factors we measured influenced anuran occupancy, our results provide insights for managers seeking to understand how amphibians use landscapes modified by agriculture.
","language":"English","publisher":"Allen Press","doi":"10.1655/HERPETOLOGICA-D-18-00013.1","usgsCitation":"Swanson, J.E., Pierce, C., Dinsmore, S., Smalling, K., Vandever, M.W., Stewart, T.W., and Muths, E., 2019, Factors influencing anuran wetland occupancy in an agricultural landscape: Herpetologica, v. 75, no. 1, p. 47-56, https://doi.org/10.1655/HERPETOLOGICA-D-18-00013.1.","productDescription":"10 p.","startPage":"47","endPage":"56","ipdsId":"IP-090725","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":350,"text":"Iowa Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true},{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":395063,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -96.339111328125,\n 42.00032514831621\n ],\n [\n -90.010986328125,\n 42.00848901572399\n ],\n [\n -90.19775390625,\n 42.26917949243506\n ],\n [\n -90.538330078125,\n 42.54498667313236\n ],\n [\n -90.560302734375,\n 42.68243539838623\n ],\n [\n -90.977783203125,\n 42.79540065303723\n ],\n [\n -91.065673828125,\n 43.13306116240612\n ],\n [\n -90.977783203125,\n 43.28520334369384\n ],\n [\n -91.175537109375,\n 43.51668853502906\n ],\n [\n -96.64672851562499,\n 43.51668853502906\n ],\n [\n -96.64672851562499,\n 43.30919109985686\n ],\n [\n -96.580810546875,\n 43.1090040242731\n ],\n [\n -96.800537109375,\n 42.76314586689492\n ],\n [\n -96.45996093749999,\n 42.45588764197166\n ],\n [\n -96.339111328125,\n 42.00032514831621\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"75","issue":"1","noUsgsAuthors":false,"publicationDate":"2019-01-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Swanson, Jennifer E.","contributorId":140894,"corporation":false,"usgs":false,"family":"Swanson","given":"Jennifer","email":"","middleInitial":"E.","affiliations":[{"id":13606,"text":"CSU","active":true,"usgs":false}],"preferred":false,"id":832143,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":832024,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dinsmore, Stephen J.","contributorId":61718,"corporation":false,"usgs":true,"family":"Dinsmore","given":"Stephen J.","affiliations":[],"preferred":false,"id":832144,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smalling, Kelly L. 0000-0002-1214-4920","orcid":"https://orcid.org/0000-0002-1214-4920","contributorId":214623,"corporation":false,"usgs":true,"family":"Smalling","given":"Kelly L.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":832025,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vandever, Mark W. 0000-0003-0247-2629 vandeverm@usgs.gov","orcid":"https://orcid.org/0000-0003-0247-2629","contributorId":197674,"corporation":false,"usgs":true,"family":"Vandever","given":"Mark","email":"vandeverm@usgs.gov","middleInitial":"W.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":832026,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stewart, Timothy W.","contributorId":171433,"corporation":false,"usgs":false,"family":"Stewart","given":"Timothy","email":"","middleInitial":"W.","affiliations":[{"id":26913,"text":"Iowa State University, Ames, Iowa","active":true,"usgs":false}],"preferred":false,"id":832145,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Muths, Erin L. 0000-0002-5498-3132","orcid":"https://orcid.org/0000-0002-5498-3132","contributorId":245922,"corporation":false,"usgs":true,"family":"Muths","given":"Erin L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":832027,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70202321,"text":"70202321 - 2019 - Associations between environmental pollutants and larval amphibians in wetlands contaminated by energy-related brines are potentially mediated by feeding traits","interactions":[],"lastModifiedDate":"2019-02-22T12:57:59","indexId":"70202321","displayToPublicDate":"2019-02-22T12:57:55","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1555,"text":"Environmental Pollution","active":true,"publicationSubtype":{"id":10}},"title":"Associations between environmental pollutants and larval amphibians in wetlands contaminated by energy-related brines are potentially mediated by feeding traits","docAbstract":"Energy production in the Williston Basin, located in the Prairie Pothole Region of central North America, has increased rapidly over the last several decades. Advances in recycling and disposal practices of saline wastewaters (brines) co-produced during energy production have reduced ecological risks, but spills still occur often and legacy practices of releasing brines into the environment caused persistent salinization in many areas. Aside from sodium and chloride, these brines contain elevated concentrations of metals and metalloids (lead, selenium, strontium, antimony and vanadium), ammonium, volatile organic compounds, hydrocarbons, and radionuclides. Amphibians are especially sensitive to chloride and some metals, increasing potential effects in wetlands contaminated by brines. We collected bed sediment and larval amphibians (Ambystoma mavortium, Lithobates pipiens and Pseudacris maculata) from wetlands in Montana and North Dakota representing a range of brine contamination history and severity to determine if contamination was associated with metal concentrations in sediments and if metal accumulation in tissues varied by species. In wetland sediments, brine contamination was positively associated with the concentrations of sodium and strontium, both known to occur in oil and gas wastewater, but negatively correlated with mercury. In amphibian tissues, selenium and vanadium were associated with brine contamination. Metal tissue concentrations were higher in tadpoles that graze compared to predatory salamanders; this suggests frequent contact with the sediments could lead to greater ingestion of metal-laden materials. Although many of these metals may not be directly linked with energy development, the potential additive or synergistic effects of exposure along with elevated chloride from brines could have important consequences for aquatic organisms. To effectively manage amphibian populations in wetlands contaminated by saline wastewaters we need a better understanding of how life history traits, species-specific susceptibilities and the physical-chemical properties of metals co-occurring in wetland sediments interact with other stressors like chloride and wetland drying.
","language":"English","publisher":"Environmental Pollution","doi":"10.1016/j.envpol.2019.02.033","usgsCitation":"Smalling, K.L., Anderson, C.W., Honeycutt, R.K., Cozzarelli, I.M., Preston, T.M., and Hossack, B.R., 2019, Associations between environmental pollutants and larval amphibians in wetlands contaminated by energy-related brines are potentially mediated by feeding traits: Environmental Pollution, v. 248, p. 260-268, https://doi.org/10.1016/j.envpol.2019.02.033.","productDescription":"9 p.","startPage":"260","endPage":"268","ipdsId":"IP-099068","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":467877,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.envpol.2019.02.033","text":"Publisher Index Page"},{"id":361466,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Williston Basin","volume":"248","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Smalling, Kelly L. 0000-0002-1214-4920 ksmall@usgs.gov","orcid":"https://orcid.org/0000-0002-1214-4920","contributorId":190789,"corporation":false,"usgs":true,"family":"Smalling","given":"Kelly","email":"ksmall@usgs.gov","middleInitial":"L.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":757826,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Chauncey W. 0000-0002-1016-3781 chauncey@usgs.gov","orcid":"https://orcid.org/0000-0002-1016-3781","contributorId":140160,"corporation":false,"usgs":true,"family":"Anderson","given":"Chauncey","email":"chauncey@usgs.gov","middleInitial":"W.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":757827,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Honeycutt, R. Ken 0000-0002-7157-7195 rhoneycutt@usgs.gov","orcid":"https://orcid.org/0000-0002-7157-7195","contributorId":156282,"corporation":false,"usgs":true,"family":"Honeycutt","given":"R.","email":"rhoneycutt@usgs.gov","middleInitial":"Ken","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":757828,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cozzarelli, Isabelle M. 0000-0002-5123-1007 icozzare@usgs.gov","orcid":"https://orcid.org/0000-0002-5123-1007","contributorId":1693,"corporation":false,"usgs":true,"family":"Cozzarelli","given":"Isabelle","email":"icozzare@usgs.gov","middleInitial":"M.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":757829,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Preston, Todd M. 0000-0002-8812-9233 tmpreston@usgs.gov","orcid":"https://orcid.org/0000-0002-8812-9233","contributorId":1664,"corporation":false,"usgs":true,"family":"Preston","given":"Todd","email":"tmpreston@usgs.gov","middleInitial":"M.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":757830,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hossack, Blake R. 0000-0001-7456-9564 blake_hossack@usgs.gov","orcid":"https://orcid.org/0000-0001-7456-9564","contributorId":1177,"corporation":false,"usgs":true,"family":"Hossack","given":"Blake","email":"blake_hossack@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":757831,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70201863,"text":"70201863 - 2019 - Critical review: Grand challenges in assessing the adverse effects of contaminants of emerging concern on aquatic food webs","interactions":[],"lastModifiedDate":"2019-01-31T15:42:10","indexId":"70201863","displayToPublicDate":"2019-01-31T15:42:07","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Critical review: Grand challenges in assessing the adverse effects of contaminants of emerging concern on aquatic food webs","docAbstract":"Much progress has been made in the past few decades in understanding the sources, transport, fate, and biological effects of contaminants of emerging concern (CECs) in aquatic ecosystems. Despite these advancements, significant obstacles still prevent comprehensive assessments of the environmental risks associated with the presence of CECs. Many of these obstacles center around the extrapolation of effects of single chemicals observed in the laboratory or effects found in individual organisms or species in the field to impacts of multiple stressors on aquatic food webs. In the present review, we identify 5 challenges that must be addressed to promote studies of CECs from singular exposure events to multispecies aquatic food web interactions. There needs to be: 1) more detailed information on the complexity of mixtures of CECs in the aquatic environment, 2) a greater understanding of the sublethal effects of CECs on a wide range of aquatic organisms, 3) an ascertaining of the biological consequences of variable duration CEC exposures within and across generations in aquatic species, 4) a linkage of multiple stressors with CEC exposure in aquatic systems, and 5) a documenting of the trophic consequences of CEC exposure across aquatic food webs. We examine the current literature to show how these challenges can be addressed to fill knowledge gaps.
","language":"English","publisher":"Wiley","doi":"10.1002/etc.4290","usgsCitation":"Nilsen, E., Smalling, K., Ahrens, L., Gros, M., Miglioranza, K.S., Pico, Y., and Schoenfuss, H.L., 2019, Critical review: Grand challenges in assessing the adverse effects of contaminants of emerging concern on aquatic food webs: Environmental Toxicology and Chemistry, v. 38, no. 1, p. 46-60, https://doi.org/10.1002/etc.4290.","productDescription":"15 p.","startPage":"46","endPage":"60","ipdsId":"IP-093304","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":467950,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/etc.4290","text":"Publisher Index Page"},{"id":360892,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"38","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-10-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Nilsen, Elena 0000-0002-0104-6321","orcid":"https://orcid.org/0000-0002-0104-6321","contributorId":212096,"corporation":false,"usgs":true,"family":"Nilsen","given":"Elena","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":755561,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smalling, Kelly L. 0000-0002-1214-4920","orcid":"https://orcid.org/0000-0002-1214-4920","contributorId":204696,"corporation":false,"usgs":true,"family":"Smalling","given":"Kelly L.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":755562,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ahrens, Lutz 0000-0002-5430-6764","orcid":"https://orcid.org/0000-0002-5430-6764","contributorId":212097,"corporation":false,"usgs":false,"family":"Ahrens","given":"Lutz","email":"","affiliations":[{"id":38404,"text":"Department of Aquatic Sciences and Assessment, Swedish University of Agricultural Sciences (SLU), Uppsala, Sweden","active":true,"usgs":false}],"preferred":false,"id":755563,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gros, Meritxell","contributorId":212098,"corporation":false,"usgs":false,"family":"Gros","given":"Meritxell","email":"","affiliations":[{"id":38405,"text":"Department of Aquatic Sciences and Assessment, Swedish University of Agricultural Sciences (SLU), Uppsala, Sweden; Catalan Institute for Water Research (ICRA), Girona, Spain","active":true,"usgs":false}],"preferred":false,"id":755564,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Miglioranza, Karina S. B.","contributorId":212099,"corporation":false,"usgs":false,"family":"Miglioranza","given":"Karina","email":"","middleInitial":"S. B.","affiliations":[{"id":38406,"text":"Lab. Ecotoxicology and Environmental Pollution, IIMyC-CONICET, Mar del Plata University, Argentina","active":true,"usgs":false}],"preferred":false,"id":755565,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pico, Yolanda 0000-0002-9545-0965","orcid":"https://orcid.org/0000-0002-9545-0965","contributorId":212100,"corporation":false,"usgs":false,"family":"Pico","given":"Yolanda","email":"","affiliations":[{"id":38407,"text":"Environmental and Food Safety Research Group (SAMA-UV), Desertification Research Centre CIDE (CSIC-UV-GV), Faculty of Pharmacy, University of Valencia, Valencia, Spain","active":true,"usgs":false}],"preferred":false,"id":755566,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schoenfuss, Heiko L.","contributorId":76409,"corporation":false,"usgs":false,"family":"Schoenfuss","given":"Heiko","email":"","middleInitial":"L.","affiliations":[{"id":13317,"text":"Saint Cloud State University","active":true,"usgs":false}],"preferred":false,"id":755567,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70203204,"text":"70203204 - 2019 - Recent advances in environmental flows science and water management—Innovation in the Anthropocene","interactions":[],"lastModifiedDate":"2019-04-29T08:36:56","indexId":"70203204","displayToPublicDate":"2018-08-01T08:36:02","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Recent advances in environmental flows science and water management—Innovation in the Anthropocene","docAbstract":"Director, New Jersey Water Science Center
U.S. Geological Survey
3450 Princeton Pike
Lawrenceville, NJ 08648
Safe drinking water at the point-of-use (tapwater, TW) is a United States public health priority. Multiple lines of evidence were used to evaluate potential human health concerns of 482 organics and 19 inorganics in TW from 13 (7 public supply, 6 private well self-supply) home and 12 (public supply) workplace locations in 11 states. Only uranium (61.9 μg L–1, private well) exceeded a National Primary Drinking Water Regulation maximum contaminant level (MCL: 30 μg L–1). Lead was detected in 23 samples (MCL goal: zero). Seventy-five organics were detected at least once, with median detections of 5 and 17 compounds in self-supply and public supply samples, respectively (corresponding maxima: 12 and 29). Disinfection byproducts predominated in public supply samples, comprising 21% of all detected and 6 of the 10 most frequently detected. Chemicals designed to be bioactive (26 pesticides, 10 pharmaceuticals) comprised 48% of detected organics. Site-specific cumulative exposure–activity ratios (∑EAR) were calculated for the 36 detected organics with ToxCast data. Because these detections are fractional indicators of a largely uncharacterized contaminant space, ∑EAR in excess of 0.001 and 0.01 in 74 and 26% of public supply samples, respectively, provide an argument for prioritized assessment of cumulative effects to vulnerable populations from trace-level TW exposures.
","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.8b04622","usgsCitation":"Bradley, P.M., Kolpin, D.W., Romanok, K.M., Smalling, K.L., Focazio, M.J., Brown, J.B., Cardon, M.C., Carpenter, K.D., Corsi, S., DeCicco, L.A., Dietze, J.E., Evans, N., Furlong, E.T., Givens, C., Gray, J.L., Griffin, D.W., Higgins, C.P., Hladik, M., Iwanowicz, L., Journey, C.A., Kuivila, K., Masoner, J.R., McDonough, C.A., Meyer, M.T., Orlando, J.L., Strynar, M.J., Weis, C., and Wilson, V.S., 2018, Reconnaissance of mixed organic and inorganic chemicals in private and public supply tapwaters at selected residential and workplace sites in the United States: Environmental Science & Technology, v. 52, no. 23, p. 13972-13985, https://doi.org/10.1021/acs.est.8b04622.","productDescription":"14 p.","startPage":"13972","endPage":"13985","ipdsId":"IP-094503","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water 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","email":"liwanowicz@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":753238,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Journey, Celeste A. 0000-0002-2284-5851 cjourney@usgs.gov","orcid":"https://orcid.org/0000-0002-2284-5851","contributorId":2617,"corporation":false,"usgs":true,"family":"Journey","given":"Celeste","email":"cjourney@usgs.gov","middleInitial":"A.","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":false,"id":753239,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Kuivila, Kathryn 0000-0001-7940-489X kkuivila@usgs.gov","orcid":"https://orcid.org/0000-0001-7940-489X","contributorId":1367,"corporation":false,"usgs":true,"family":"Kuivila","given":"Kathryn ","email":"kkuivila@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":753240,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Masoner, Jason R. 0000-0002-4829-6379 jmasoner@usgs.gov","orcid":"https://orcid.org/0000-0002-4829-6379","contributorId":3193,"corporation":false,"usgs":true,"family":"Masoner","given":"Jason","email":"jmasoner@usgs.gov","middleInitial":"R.","affiliations":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":753241,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"McDonough, Carrie A. 0000-0001-5152-8495","orcid":"https://orcid.org/0000-0001-5152-8495","contributorId":205664,"corporation":false,"usgs":false,"family":"McDonough","given":"Carrie","email":"","middleInitial":"A.","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":753242,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Meyer, Michael T. 0000-0001-6006-7985 mmeyer@usgs.gov","orcid":"https://orcid.org/0000-0001-6006-7985","contributorId":866,"corporation":false,"usgs":true,"family":"Meyer","given":"Michael","email":"mmeyer@usgs.gov","middleInitial":"T.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":753243,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Orlando, James L. 0000-0002-0099-7221 jorlando@usgs.gov","orcid":"https://orcid.org/0000-0002-0099-7221","contributorId":190788,"corporation":false,"usgs":true,"family":"Orlando","given":"James","email":"jorlando@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":753244,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Strynar, Mark J. 0000-0003-3472-7921","orcid":"https://orcid.org/0000-0003-3472-7921","contributorId":205666,"corporation":false,"usgs":false,"family":"Strynar","given":"Mark","email":"","middleInitial":"J.","affiliations":[{"id":36773,"text":"USEPA NERL","active":true,"usgs":false}],"preferred":false,"id":753246,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Weis, Christopher P.","contributorId":210216,"corporation":false,"usgs":false,"family":"Weis","given":"Christopher P.","affiliations":[{"id":35644,"text":"National Institute of Health","active":true,"usgs":false}],"preferred":false,"id":753247,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Wilson, Vickie S. 0000-0003-1661-8481","orcid":"https://orcid.org/0000-0003-1661-8481","contributorId":184092,"corporation":false,"usgs":false,"family":"Wilson","given":"Vickie","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":753248,"contributorType":{"id":1,"text":"Authors"},"rank":28}]}} ,{"id":70200458,"text":"70200458 - 2018 - Identifying management-relevant research priorities for responding to disease-associated amphibian declines","interactions":[],"lastModifiedDate":"2018-10-18T12:16:57","indexId":"70200458","displayToPublicDate":"2018-10-18T12:13:58","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3871,"text":"Global Ecology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Identifying management-relevant research priorities for responding to disease-associated amphibian declines","docAbstract":"A research priority can be defined as a knowledge gap that, if resolved, identifies the optimal course of conservation action. We (a group of geographically distributed and multidisciplinary research scientists) used tools from nominal group theory and decision analysis to collaboratively identify and prioritize information needs within the context of disease-associated amphibian decline, in order to develop a strategy that would support US management agency needs. We developed iterated influence diagrams to create and assess a unified research strategy. We illustrated a transparent process for identifying specific knowledge gaps in amphibian disease ecology relevant to environmental management, and then constructed a research plan to address these uncertainties. The resulting priorities include a need to: (1) understand the drivers of the community-disease relationship, (2) determine the mechanisms by which exposure to contaminants influence disease outcomes, (3) identify elements of terrestrial and aquatic habitats that stabilize host-pathogen dynamics, (4) discuss how metapopulations may be managed to reduce the speed and intensity of disease outbreaks, and (5) define the relationship between habitat management and the environmental and host microbiomes. Along with identifying research priorities for disease management, we present the details of the process used to develop a consensus plan for addressing disease-related declines in amphibians on federally managed lands of the United States.
","language":"English","publisher":"Elsevier ","doi":"10.1016/j.gecco.2018.e00441","usgsCitation":"Campbell Grant, E.H., Adams, M.J., Fisher, R.N., Grear, D.A., Halstead, B., Hossack, B.R., Muths, E.L., Richgels, K.L., Russell, R.E., Smalling, K.L., Waddle, J.H., Walls, S.C., and White, C.L., 2018, Identifying management-relevant research priorities for responding to disease-associated amphibian declines: Global Ecology and Conservation, v. 16, p. 1-9, https://doi.org/10.1016/j.gecco.2018.e00441.","productDescription":"article e00441; 9 p.","startPage":"1","endPage":"9","ipdsId":"IP-096337","costCenters":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true},{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":468307,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gecco.2018.e00441","text":"Publisher Index Page"},{"id":358527,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c10a91be4b034bf6a7e4fcc","contributors":{"authors":[{"text":"Campbell Grant, Evan H. 0000-0003-4401-6496 ehgrant@usgs.gov","orcid":"https://orcid.org/0000-0003-4401-6496","contributorId":150443,"corporation":false,"usgs":true,"family":"Campbell Grant","given":"Evan","email":"ehgrant@usgs.gov","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":748960,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Adams, M. J. 0000-0001-8844-042X mjadams@usgs.gov","orcid":"https://orcid.org/0000-0001-8844-042X","contributorId":3133,"corporation":false,"usgs":false,"family":"Adams","given":"M.","email":"mjadams@usgs.gov","middleInitial":"J.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":748961,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fisher, Robert N. 0000-0002-2956-3240 rfisher@usgs.gov","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":1529,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert","email":"rfisher@usgs.gov","middleInitial":"N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":748962,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grear, Daniel A. 0000-0002-5478-1549 dgrear@usgs.gov","orcid":"https://orcid.org/0000-0002-5478-1549","contributorId":189819,"corporation":false,"usgs":true,"family":"Grear","given":"Daniel","email":"dgrear@usgs.gov","middleInitial":"A.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":748963,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Halstead, Brian J. 0000-0002-5535-6528 bhalstead@usgs.gov","orcid":"https://orcid.org/0000-0002-5535-6528","contributorId":3051,"corporation":false,"usgs":true,"family":"Halstead","given":"Brian J.","email":"bhalstead@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":748964,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hossack, Blake R. 0000-0001-7456-9564 blake_hossack@usgs.gov","orcid":"https://orcid.org/0000-0001-7456-9564","contributorId":1177,"corporation":false,"usgs":true,"family":"Hossack","given":"Blake","email":"blake_hossack@usgs.gov","middleInitial":"R.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":748965,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Muths, Erin L. 0000-0002-5498-3132 muthse@usgs.gov","orcid":"https://orcid.org/0000-0002-5498-3132","contributorId":1260,"corporation":false,"usgs":true,"family":"Muths","given":"Erin","email":"muthse@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":748966,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Richgels, Katherine L. 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Hardin 0000-0003-1940-2133 waddleh@usgs.gov","orcid":"https://orcid.org/0000-0003-1940-2133","contributorId":138953,"corporation":false,"usgs":true,"family":"Waddle","given":"J.","email":"waddleh@usgs.gov","middleInitial":"Hardin","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":748970,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Walls, Susan C. 0000-0001-7391-9155 swalls@usgs.gov","orcid":"https://orcid.org/0000-0001-7391-9155","contributorId":138952,"corporation":false,"usgs":true,"family":"Walls","given":"Susan","email":"swalls@usgs.gov","middleInitial":"C.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":748971,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"White, C. LeAnn 0000-0002-5004-5165 clwhite@usgs.gov","orcid":"https://orcid.org/0000-0002-5004-5165","contributorId":4315,"corporation":false,"usgs":true,"family":"White","given":"C.","email":"clwhite@usgs.gov","middleInitial":"LeAnn","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":748972,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70197509,"text":"sir20185068 - 2018 - Methods used to reconstruct historical daily streamflows in northern New Jersey and southeastern New York, water years 1922–2010","interactions":[],"lastModifiedDate":"2018-09-10T16:50:30","indexId":"sir20185068","displayToPublicDate":"2018-09-10T12:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-5068","title":"Methods used to reconstruct historical daily streamflows in northern New Jersey and southeastern New York, water years 1922–2010","docAbstract":"A study was conducted by the U.S. Geological Survey, in cooperation with the New Jersey Department of Environmental Protection, to reconstruct streamflows for use in the RiverWare model. Methods and data used to estimate daily reconstructed streamflows at 53 sites in selected subbasins in northern New Jersey and southeastern New York are presented in the report. These subbasins contain one or more surface-water diversions that are operated or have been operated in the past by water purveyors or the New Jersey Department of Environmental Protection. Reconstructed streamflows are estimates of those streamflows that would have occurred without the effects of changes in reservoir storage or surface-water diversions by water purveyors.
Reconstructed flows at 47 sites were determined from monthly observed streamflows, changes in reservoir storage, and surface-water diversions. Monthly reconstructed streamflows were calculated directly for those months with sufficient data. Missing monthly reconstructed flows were estimated from relations between selected calculated values of monthly reconstructed flows and monthly observed flows at selected index gages. Daily reconstructed flows were determined from the disaggregation of monthly reconstructed flows on the basis of daily observed flows at selected streamgages. At six sites, reconstructed flows were determined from relations between discrete measurements of observed streamflows and daily observed streamflows at selected index gages.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185068","collaboration":"Prepared in cooperation with the New Jersey Department of Environmental Protection","usgsCitation":"Hickman, R.E., and McHugh, A.R., 2018, Methods used to reconstruct historical daily streamflows in northern New Jersey and southeastern New York, water years 1922–2010: U.S. Geological Survey Scientific Investigations Report 2018–5068, 75 p., https://doi.org/10.3133/sir20185068.","productDescription":"viii, 75 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-070147","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":437761,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7J965CZ","text":"USGS data release","linkHelpText":"Data and equations used to reconstruct historical daily streamflows in northern New Jersey and southeastern New York, water years 1922-2010"},{"id":357153,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5068/coverthb2.jpg"},{"id":357154,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5068/sir20185068.pdf","text":"Report","size":"10.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018-5068"},{"id":357155,"rank":3,"type":{"id":30,"text":"Data Release"},"url":" https://doi.org/10.5066/F7J965CZ","text":"USGS data release","description":"USGS data release","linkHelpText":"Data and equations used to reconstruct historical daily streamflows in northern New Jersey and southeastern New York, water years 1922–2010"}],"country":"United States","state":"New Jersey, New York","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.049,\n 40.402\n ],\n [\n -73.906,\n 40.402\n ],\n [\n -73.906,\n 41.396\n ],\n [\n -75.049,\n 41.396\n ],\n [\n -75.049,\n 40.402\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, New Jersey Water Science Center
U.S. Geological Survey
3450 Princeton Pike, Suite 110
Lawrenceville, NJ 08648
The U.S. Geological Survey (USGS) uses Maintenance of Variance Extension Type 1 (MOVE.1) regression to transfer streamflows measured at long-term continuous-record streamgaging stations to partial-record (PR) streamgaging stations where intermittent base-flow measurements are available. MOVE.1 regression is used widely throughout the hydrologic community to extend historic low flows and low-flow statistics at continuous-record streamgaging stations to streamgaging stations that have access to only a partial record of low flows. The method correlates base-flow measurements at PR streamgaging stations with daily mean streamflows measured at index stations that exhibit similar streamflow characteristics.
Following changes in the computing platform for storing, processing, retrieving, and publishing National Water Information System (NWIS) hydrologic data, legacy Statistical Analysis System (SAS) code developed by the USGS to implement the MOVE.1 regression was no longer suitable for reading and processing NWIS streamflow data. To migrate the MOVE.1 program so that it could continue to read streamflow data using the new hydrologic data platform, the SAS code was re-written in R, an open source programming language and software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing. The work described in this report was performed in a study conducted by USGS in cooperation with the New Jersey Department of Environmental Protection.
During migration from SAS to R, graphical and tabular output generated by the R script was compared to output produced by the legacy SAS code to ensure that equations used to perform the MOVE.1 regression remained the same. An option to perform censored MOVE.1 regression was added to extend the MOVE.1 methodology to cases where one or more measured continuous-record or PR streamgaging station flows are zero valued. In addition to permitting censored regression, the new R script includes an option to perform piecewise MOVE.1 regression when the relation between PR station and index station low flows varies significantly across the range of index station streamflows.
Together with traditional MOVE.1 regression, censored, and piecewise MOVE.1 regression methods implemented by the R script offer less biased estimates than ordinary least squares regression for the annual 7-day 10-year and other low-flow statistics at PR stations for a range of base-flow conditions. The R script is used to implement the MOVE.1 regression methods across a variety of computing platforms.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181089","collaboration":"Prepared in cooperation with the New Jersey Department of Environmental Protection","usgsCitation":"Colarullo, S.J., Sullivan, S.L., and McHugh, A.R., 2018, Implementation of MOVE.1, censored MOVE.1, and piecewise MOVE.1 low-flow regressions with applications at partial-record streamgaging stations in New Jersey: U.S. Geological Survey Open-File Report 2018–1089, 20 p., https://doi.org/10.3133/ofr20181089.","productDescription":"v, 20 p.","numberOfPages":"30","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-089567","costCenters":[{"id":470,"text":"New Jersey Water Science 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Jersey\",\"nation\":\"USA \"}}]}","contact":"Director, New Jersey Water Science Center
U.S. Geological Survey
3450 Princeton Pike, Suite 110
Lawrenceville, NJ 08648
A study conducted by the U.S. Geological Survey, in cooperation with the New Jersey Pinelands Commission and Montclair State University, was designed to compare pesticide concentrations and the presence and prevalence of amphibian pathogens between natural ponds and two types of created wetlands, excavated ponds and stormwater basins, throughout the New Jersey Pinelands. The study described herein is part of a larger study by the New Jersey Pinelands Commission designed to compare the functional equivalency of natural and created wetlands throughout the New Jersey Pinelands. Sites were selected on the basis of land-use classifications within a 500-meter radius around each wetland from a pool of natural ponds, excavated ponds, and stormwater basins determined by the New Jersey Pinelands Commission. Water, bed-sediment, anuran-food, and composite larval-anuran-tissue samples were collected from four reference (minimum land-use effects) and four degraded (maximum land-use effects) sites from each wetland type for a total of 24 ponds or basins throughout the New Jersey Pinelands during 2014–16. Prevalence of Ranavirus was determined on the basis of tail clips collected from 60 individual larval anurans in each wetland, and 10 animals from each wetland also were swabbed for the presence of Batrachochytrium dendrobatidis (Bd). Other constituents measured included turbidity, pH, specific conductance, dissolved oxygen, dissolved organic carbon, percent organic carbon in sediment, and composite larval-anuran lipid content.
The amount of altered land (percent agricultural plus percent developed) ranged from 0 to 62.4 percent for the natural ponds, 0 to 63.6 percent for the excavated ponds, and 23.3 to 80.2 percent for the stormwater basins. The herbicides atrazine and metolachlor were observed in 60 and 89 percent of the water samples, respectively. The insecticide bifenthrin was the most frequently detected current-use pesticide (greater than 25 percent of the samples) in bed-sediment, anuran-food, and composite larval-anuran-tissue samples. The legacy insecticide p,p'-DDT and its primary degradates p,p'-DDD and p,p'-DDE were the most frequently detected compounds in bed-sediment and anuran-food samples (32–76 percent in sediment samples and 24–72 percent in anuran-food samples). Significantly, greater numbers of pesticides and higher total pesticide concentrations were observed in stormwater basins than in natural and excavated ponds. Reference wetlands had fewer pesticides and lower total pesticide concentrations compared to degraded wetlands, indicating a positive relation between percent altered land and pesticides throughout the New Jersey Pinelands. Ranavirus was observed in larvae from 4 wetlands, including 1 reference natural pond, 1 degraded natural pond, and 2 degraded stormwater basins, with prevalence ranging from 3 to 43 percent. Bd was detected in swabs from 18 animals and in 4 natural ponds (1 reference and 3 degraded), 3 excavated ponds (all reference), and 2 stormwater basins (1 reference and 1 degraded); however, detection probability was low. In the wetlands with Bd detections, between 10 and 30 percent (between 1 and 3) of the animal’s swabbed tested positive for Bd. Owing to the limited number of positive detections for both Bd and Ranavirus, no statistical comparisons between wetland types and land-use classifications were possible.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181077","collaboration":"Prepared in cooperation with the New Jersey Pinelands Commission and Montclair State University","usgsCitation":"Smalling, K.L., Bunnell, J.F., Cohl, J., Romanok, K.M., Hazard, L., Monsen, K., Akob, D.M., Hansen, A., Hladik, M.L., Abdallah, N., Ahmed, Q., Assan, A., De Parsia, M., Griggs, A., McWayne-Holmes, M., Patel, N., Sanders, C., Shrestha, Y., Stout, S., and Williams, B., 2018, An initial comparison of pesticides and amphibian pathogens between natural and created wetlands in the New Jersey Pinelands, 2014–16: U.S. Geological Survey Open-File Report 2018–1077, 18 p., https://doi.org/10.3133/ofr20181077.","productDescription":"Report: vii, 18 p.; Data release","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-092514","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":355889,"rank":3,"type":{"id":30,"text":"Data Release"},"url":" https://doi.org/10.5066/F71G0K6G","text":"USGS data release","description":"USGS data release","linkHelpText":"Current-use pesticides and emerging amphibian pathogens in natural ponds, excavated ponds and stormwater basins from 24 sites varying in land-use classifications throughout the New Jersey Pinelands, 2014–2016"},{"id":437781,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F71G0K6G","text":"USGS data release","linkHelpText":"Current-use pesticides and emerging amphibian pathogens in natural ponds, excavated ponds, and stormwater basins from 24 sites varying in land-use classifications throughout the New Jersey Pinelands, 2014-2016"},{"id":355954,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://www.state.nj.us/pinelands/science/complete/wetlands/index.shtml","linkHelpText":"- Natural and Created Wetlands Study. Final report submitted to the U.S. Environmental Protection Agency: New Lisbon, N.J., Pinelands Commission"},{"id":355887,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1077/coverthb.jpg"},{"id":355888,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2018/1077/ofr20181077.pdf","text":"Report","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2018-1077"}],"country":"United States","state":"New Jersey","otherGeospatial":"New Jersey Pinelands","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.9339,\n 39.2872\n ],\n [\n -74.24,\n 39.2872\n ],\n [\n -74.24,\n 39.94\n ],\n [\n -74.9339,\n 39.94\n ],\n [\n -74.9339,\n 39.2872\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, New Jersey Water Science Center
U.S. Geological Survey
3450 Princeton Pike, Suite 110
Lawrenceville, NJ 08648