{"pageNumber":"250","pageRowStart":"6225","pageSize":"25","recordCount":68810,"records":[{"id":70210069,"text":"70210069 - 2020 - Operational global actual evapotranspiration: Development, evaluation, and dissemination","interactions":[],"lastModifiedDate":"2020-05-13T14:25:13.766951","indexId":"70210069","displayToPublicDate":"2020-03-30T09:21:14","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"title":"Operational global actual evapotranspiration: Development, evaluation, and dissemination","docAbstract":"

Satellite-based actual evapotranspiration (ETa) is becoming increasingly reliable and available for various water management and agricultural applications from water budget studies to crop performance monitoring. The Operational Simplified Surface Energy Balance (SSEBop) model is currently used by the US Geological Survey (USGS) Famine Early Warning System Network (FEWS NET) to routinely produce and post multitemporal ETa and ETa anomalies online for drought monitoring and early warning purposes. Implementation of the global SSEBop using the Aqua satellite’s Moderate Resolution Imaging Spectroradiometer (MODIS) land surface temperature and global gridded weather datasets is presented. Evaluation of the SSEBop ETa data using 12 eddy covariance (EC) flux tower sites over six continents indicated reasonable performance in capturing seasonality with a correlation coefficient up to 0.87. However, the modeled ETa seemed to show regional biases whose natures and magnitudes require a comprehensive investigation using complete water budgets and more quality-controlled EC station datasets. While the absolute magnitude of SSEBop ETa would require a one-time bias correction for use in water budget studies to address local or regional conditions, the ETa anomalies can be used without further modifications for drought monitoring. All ETa products are freely available for download from the USGS FEWS NET website.

","language":"English","publisher":"MDPI","doi":"10.3390/s20071915","collaboration":"","usgsCitation":"Senay, G., Kagone, S., and Velpuri, N.M., 2020, Operational global actual evapotranspiration: Development, evaluation, and dissemination, v. 7, no. 20, 1915, 18 p., https://doi.org/10.3390/s20071915.","productDescription":"1915, 18 p.","ipdsId":"IP-116111","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":457241,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/s20071915","text":"Publisher Index Page"},{"id":437046,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9OUVUUI","text":"USGS data release","linkHelpText":"Operational Global Actual Evapotranspiration using the SSEBop model"},{"id":374752,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"20","noUsgsAuthors":false,"publicationDate":"2020-03-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Senay, Gabriel 0000-0002-8810-8539","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":216910,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":false,"id":788972,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kagone, Stefanie 0000-0002-2979-4655","orcid":"https://orcid.org/0000-0002-2979-4655","contributorId":210980,"corporation":false,"usgs":true,"family":"Kagone","given":"Stefanie","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":788973,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Velpuri, Naga M. 0000-0002-6370-1926","orcid":"https://orcid.org/0000-0002-6370-1926","contributorId":96183,"corporation":false,"usgs":true,"family":"Velpuri","given":"Naga","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":788974,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70220206,"text":"70220206 - 2020 - Hillslope groundwater discharges provide localized ecosystem buffers from regional PFAS contamination in a gaining coastal stream","interactions":[],"lastModifiedDate":"2021-04-27T13:19:56.792469","indexId":"70220206","displayToPublicDate":"2020-03-29T08:04:39","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Hillslope groundwater discharges provide localized ecosystem buffers from regional PFAS contamination in a gaining coastal stream","docAbstract":"Emerging groundwater contaminants such as per- and polyfluoroalkyl substances (PFAS) may impact surface-water quality and groundwater-dependent ecosystems of gaining streams. Although complex near-surface hydrogeology of stream corridors challenges sampling efforts, recent advances in heat tracing of discharge zones enable efficient and informed data collection. For this study we used a combination of streambed temperature push-probe and thermal infrared methods to guide a discharge-zone-oriented sample collection along approximately 6 km of a coastal trout stream on Cape Cod, MA where groundwater discharge constitutes approximately 95% of total streamflow. Eight surface-water locations and discharging groundwater from 24 streambed and bank seepages were analyzed for dissolved oxygen, specific conductance, stable water isotopes, and a range of PFAS compounds which are contaminants of emerging concern in aquatic environments. The results indicate a complex system of groundwater discharge source flowpaths, where the sum of concentrations of six PFAS compounds (Environmental Protection Agency third Unregulated Contaminant Monitoring Rule UCMR 3) showed a median concentration of 52 331 (SD) ng/L with two higher outliers and three discharges with non-detection of PFAS. Higher UCMR 3 PFAS concentration was related -0.66 (Spearman Rank, p<0.001) to discharging groundwater that showed an evaporative signature (deuterium excess), indicating flow through at least one upgradient kettle lake. Therefore, more regional groundwater flowpaths originating from outside the local river corridor tended to show higher PFAS concentrations as evaluated at their respective discharge zones. Conversely, UCMR 3 PFAS concentrations were typically low at discharges that did not indicate evaporation and were adjacent to steep hillslopes and, therefore, were classified as locally recharged groundwater. Previous research at this stream found that the native brook trout favor discharge points of groundwater recharged on local hillslopes for spawning, likely in response to generally higher levels of dissolved oxygen compared to discharge zones located further away from hillslopes. Our study shows that the trout may thereby be avoiding emerging contaminants such as PFAS in groundwater recharged farther from the stream.","language":"English","publisher":"Wiley","doi":"10.1002/hyp.13752","usgsCitation":"Briggs, M.A., Tokranov, A.K., Hull, R.B., LeBlanc, D.R., Haynes, A., and Lane, J., 2020, Hillslope groundwater discharges provide localized ecosystem buffers from regional PFAS contamination in a gaining coastal stream: Hydrological Processes, v. 34, no. 10, p. 2281-2291, https://doi.org/10.1002/hyp.13752.","productDescription":"11 p.","startPage":"2281","endPage":"2291","ipdsId":"IP-117276","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":385320,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts","otherGeospatial":"Cape Cod, Quashnet River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -70.24932861328125,\n 42.06356771883277\n ],\n [\n -70.2081298828125,\n 42.02481360781777\n ],\n [\n -70.1806640625,\n 42.01665183556825\n ],\n [\n -70.16693115234375,\n 42.032974332441405\n ],\n [\n -70.18890380859375,\n 42.04317376494972\n ],\n [\n -70.16143798828125,\n 42.06356771883277\n ],\n [\n -70.11199951171875,\n 42.04113400940807\n ],\n [\n -70.07904052734375,\n 41.92475971933975\n ],\n [\n -70.0653076171875,\n 41.89818843043047\n ],\n [\n -70.0543212890625,\n 41.920672548686824\n ],\n [\n -70.02960205078125,\n 41.92271616673922\n ],\n [\n -70.0213623046875,\n 41.887965758804484\n ],\n [\n -70.00762939453125,\n 41.81021999190292\n ],\n [\n -70.07080078125,\n 41.777456667491066\n ],\n [\n -70.125732421875,\n 41.76106872528616\n ],\n [\n -70.16693115234375,\n 41.75492216766298\n ],\n [\n -70.20263671875,\n 41.748775021355044\n ],\n [\n -70.257568359375,\n 41.7180304600481\n ],\n [\n -70.279541015625,\n 41.72828028223453\n ],\n [\n -70.345458984375,\n 41.74262728637672\n ],\n [\n -70.44158935546875,\n 41.75287318430239\n ],\n [\n -70.49102783203125,\n 41.77336007442076\n ],\n [\n -70.55145263671875,\n 41.775408403663285\n ],\n [\n -70.587158203125,\n 41.748775021355044\n ],\n [\n -70.6201171875,\n 41.73647896274239\n ],\n [\n -70.65582275390625,\n 41.68316883525891\n ],\n [\n -70.6475830078125,\n 41.64213096472801\n ],\n [\n -70.653076171875,\n 41.60312076451184\n ],\n [\n -70.64208984375,\n 41.57436130598913\n ],\n [\n -70.78765869140625,\n 41.47771800887871\n ],\n [\n -70.94146728515625,\n 41.42625319507269\n ],\n [\n -70.94970703125,\n 41.409775832009565\n ],\n [\n -70.86181640625,\n 41.41801503608024\n ],\n [\n -70.784912109375,\n 41.4509614012039\n ],\n [\n -70.653076171875,\n 41.51680395810118\n ],\n [\n -70.6201171875,\n 41.541477666790286\n ],\n [\n -70.5487060546875,\n 41.53531012183376\n ],\n [\n -70.48828125,\n 41.54764462357737\n ],\n [\n -70.4443359375,\n 41.588742636696765\n ],\n [\n -70.43060302734375,\n 41.60517452129933\n ],\n [\n -70.39764404296875,\n 41.60722821271717\n ],\n [\n -70.367431640625,\n 41.61749568924243\n ],\n [\n -70.3125,\n 41.6257084937525\n ],\n [\n -70.26580810546875,\n 41.60928183876483\n ],\n [\n -70.24108886718749,\n 41.6257084937525\n ],\n [\n -70.17791748046875,\n 41.65239288426814\n ],\n [\n -70.13946533203124,\n 41.65034063112266\n ],\n [\n -70.06805419921875,\n 41.66470503009207\n ],\n [\n -70.015869140625,\n 41.668808555620586\n ],\n [\n -69.98016357421875,\n 41.65239288426814\n ],\n [\n -70.0103759765625,\n 41.566141964768384\n ],\n [\n -70.0103759765625,\n 41.539421883822854\n ],\n [\n -69.9884033203125,\n 41.54764462357737\n ],\n [\n -69.98016357421875,\n 41.59490508367679\n ],\n [\n -69.92523193359375,\n 41.68316883525891\n ],\n [\n -69.93072509765625,\n 41.81431422987254\n ],\n [\n -69.97467041015625,\n 41.94927724511655\n ],\n [\n -70.048828125,\n 42.039094188385945\n ],\n [\n -70.13397216796875,\n 42.07783959017503\n ],\n [\n -70.21087646484375,\n 42.08803181932636\n ],\n [\n -70.24932861328125,\n 42.06356771883277\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"34","issue":"10","noUsgsAuthors":false,"publicationDate":"2020-04-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Briggs, Martin A. 0000-0003-3206-4132 mbriggs@usgs.gov","orcid":"https://orcid.org/0000-0003-3206-4132","contributorId":4114,"corporation":false,"usgs":true,"family":"Briggs","given":"Martin","email":"mbriggs@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":true,"id":814755,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tokranov, Andrea K. 0000-0003-4811-8641","orcid":"https://orcid.org/0000-0003-4811-8641","contributorId":255483,"corporation":false,"usgs":true,"family":"Tokranov","given":"Andrea","email":"","middleInitial":"K.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":814756,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hull, Robert B. 0000-0002-0216-5250","orcid":"https://orcid.org/0000-0002-0216-5250","contributorId":215569,"corporation":false,"usgs":true,"family":"Hull","given":"Robert","email":"","middleInitial":"B.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":814757,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"LeBlanc, Denis R. 0000-0002-4646-2628","orcid":"https://orcid.org/0000-0002-4646-2628","contributorId":219907,"corporation":false,"usgs":true,"family":"LeBlanc","given":"Denis","email":"","middleInitial":"R.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true}],"preferred":true,"id":814758,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Haynes, A.","contributorId":257634,"corporation":false,"usgs":false,"family":"Haynes","given":"A.","email":"","affiliations":[{"id":36710,"text":"University of Connecticut","active":true,"usgs":false}],"preferred":false,"id":814759,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lane, John W. Jr. 0000-0002-3558-243X","orcid":"https://orcid.org/0000-0002-3558-243X","contributorId":210076,"corporation":false,"usgs":true,"family":"Lane","given":"John W.","suffix":"Jr.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":814760,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70210380,"text":"70210380 - 2020 - Climatically driven displacement on the Eglington fault, Las Vegas, Nevada","interactions":[],"lastModifiedDate":"2020-06-02T13:53:01.204552","indexId":"70210380","displayToPublicDate":"2020-03-27T08:38:01","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Climatically driven displacement on the Eglington fault, Las Vegas, Nevada","docAbstract":"The Eglington fault is one of several intrabasinal faults in the Las Vegas Valley, Nevada and is the only one recognized as a source for significant earthquakes. Its broad warp displaces late Pleistocene paleo-spring deposits of the Las Vegas Formation, which record hydrologic fluctuations that occurred in response to millennial and submillennial-scale climate oscillations throughout the late Quaternary. The sediments allow us to constrain the timing of displacement on the Eglington fault and identify hydrologic changes that are temporally coincident with that event. The fault warps deposits that represent widespread marshes that filled the valley between 31.7 and 27.6 ka. These marshes desiccated abruptly in response to warming and groundwater lowering during Dansgaard-Oeschger (D-O) events 4 and 3, resulting in the formation of a pervasive, hard carbonate cap by 27.0 ka. Vertical offset by as much as 4.2 meters occurred after the cap hardened, and most likely after younger marshes desiccated irreversibly due to a sudden depression of the water table during D-O 2, beginning at 23.3 ka. The timing of displacement is further constrained to before 19.5 ka as evidenced by undeformed spring deposits that are inset into the incised topography of the warp. Coulomb stress calculations validate the hypothesis that the significant groundwater decline during D-O 2 triggered fault displacement through unloading of vertical stress of the water column. The synchroneity of this abrupt hydrologic change and warping on the Eglington fault suggests that climatically modulated tectonics operated in the Las Vegas Valley during the late Quaternary.","language":"English","publisher":"Geological Society of America","doi":"10.1130/G47162.1","usgsCitation":"Springer, K.B., and Pigati, J.S., 2020, Climatically driven displacement on the Eglington fault, Las Vegas, Nevada: Geology, v. 48, no. 6, p. 574-578, https://doi.org/10.1130/G47162.1.","productDescription":"5 p.","startPage":"574","endPage":"578","ipdsId":"IP-115161","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":437048,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9BTB41W","text":"USGS data release","linkHelpText":"Data release for Climatically driven displacement on the Eglington fault, Las Vegas, Nevada, USA"},{"id":375244,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","city":"Las Vegas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -115.60913085937499,\n 35.9157474194997\n ],\n [\n -114.82910156249999,\n 35.9157474194997\n ],\n [\n -114.82910156249999,\n 36.41244153535644\n ],\n [\n -115.60913085937499,\n 36.41244153535644\n ],\n [\n -115.60913085937499,\n 35.9157474194997\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"48","issue":"6","noUsgsAuthors":false,"publicationDate":"2020-03-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Springer, Kathleen B. 0000-0002-2404-0264 kspringer@usgs.gov","orcid":"https://orcid.org/0000-0002-2404-0264","contributorId":149826,"corporation":false,"usgs":true,"family":"Springer","given":"Kathleen","email":"kspringer@usgs.gov","middleInitial":"B.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":790104,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pigati, Jeffrey S. 0000-0001-5843-6219 jpigati@usgs.gov","orcid":"https://orcid.org/0000-0001-5843-6219","contributorId":201167,"corporation":false,"usgs":true,"family":"Pigati","given":"Jeffrey","email":"jpigati@usgs.gov","middleInitial":"S.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":790105,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70211838,"text":"70211838 - 2020 - Framework for a long-term strategic plan for the Capital Area Groundwater Conservation Commission","interactions":[],"lastModifiedDate":"2020-08-11T13:02:52.65537","indexId":"70211838","displayToPublicDate":"2020-03-27T08:34:17","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"displayTitle":"Framework for a Long-term Strategic Plan for the Capital Area Groundwater Conservation Commission","title":"Framework for a long-term strategic plan for the Capital Area Groundwater Conservation Commission","docAbstract":"The Capital Area Groundwater Conservation Commission oversees the use of groundwater in six parishes in Louisiana. In carrying out its statutory responsibilities and authorities, the Commission recognizes the complexity of its decisions: the long-term objectives it is seeking are multifaceted; the actions it can choose from are numerous and interdependent; and the understanding of the hydrogeological, economic, and social systems affected by its actions is limited. To navigate this complexity, the Commission is developing a long-term strategic plan to guide its activities and to serve as a primary mode of communication to stakeholders and the public. The long-term strategic plan is intended to consider actions and outcomes over at least the next 50 years within the 6 parishes in the Commission’s jurisdiction and related to all the confined aquifers in the 3000 feet below the district. The primary purposes of the plan are to promote long-term sustainability of groundwater extraction, continuity of operations of the Commission, long-term planning by water users, and clear communication with the public. The plan will describe specific management actions to be taken over time by the Commission, and the conditions under which those actions are to be taken. It will include intermediate milestones the Commission intends to achieve on the way toward achieving its long-term objectives. The actions under consideration include regulation and monitoring of groundwater withdrawal, mitigation of the environmental effects of withdrawal, support of relevant scientific studies, as well as work with partner agencies to implement measures to conserve, develop, and supplement groundwater resources. The plan will have greater detail about short-term actions than mid-term and long-term actions, and the Commission anticipates updating the plan periodically to adapt to changing circumstances and knowledge.\n\nTo develop its long-term strategic plan, the Commission is working with The Water Institute of the Gulf and the U.S. Geological Survey using a facilitated process based on the principles of structured decision making (Gregory et al., 2012). This document outlines the framework for the strategic plan by describing the legal, economic, and scientific context for the plan, the fundamental objectives the Commission seeks to achieve in the long term, and the strategic alternatives it is considering.","language":"English","publisher":"The Water Institute of the Gulf","collaboration":"The Water Institute of the Gulf; Capital Area Groundwater Conservation Commission","usgsCitation":"Runge, M.C., Bean, E.A., McInnis, A., Clark, R., and Dausman, A., 2020, Framework for a long-term strategic plan for the Capital Area Groundwater Conservation Commission, iii, 22 p.","productDescription":"iii, 22 p.","ipdsId":"IP-114259","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":377268,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":377195,"type":{"id":15,"text":"Index Page"},"url":"https://thewaterinstitute.org/assets/docs/reports/Framework-for-a-Long-term-Strategic-Plan-for-the-Capital-Area-Groundwater-Conservation-Commission.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":795318,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bean, Ellen A","contributorId":228883,"corporation":false,"usgs":false,"family":"Bean","given":"Ellen","email":"","middleInitial":"A","affiliations":[{"id":41524,"text":"Bean Consulting","active":true,"usgs":false}],"preferred":false,"id":795319,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McInnis, Adrian","contributorId":221278,"corporation":false,"usgs":false,"family":"McInnis","given":"Adrian","email":"","affiliations":[],"preferred":false,"id":795320,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Clark, Ryan","contributorId":193538,"corporation":false,"usgs":false,"family":"Clark","given":"Ryan","email":"","affiliations":[],"preferred":false,"id":795321,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dausman, Alyssa","contributorId":223766,"corporation":false,"usgs":false,"family":"Dausman","given":"Alyssa","affiliations":[{"id":13499,"text":"The Water Institute of the Gulf","active":true,"usgs":false}],"preferred":false,"id":795322,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70229338,"text":"70229338 - 2020 - Epigenetic response of Louisiana Waterthrush Parkesia motacilla to shale gas development","interactions":[],"lastModifiedDate":"2022-03-04T13:09:34.171291","indexId":"70229338","displayToPublicDate":"2020-03-27T07:05:43","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1961,"text":"Ibis","active":true,"publicationSubtype":{"id":10}},"title":"Epigenetic response of Louisiana Waterthrush Parkesia motacilla to shale gas development","docAbstract":"

Epigenetic mechanisms such as DNA methylation may vary in response to environmental stressors and introduce adaptive or maladaptive gene expression within and among wild bird populations. We examined the association between DNA methylation and demographic characteristics of the Louisiana Waterthrush Parkesia motacilla in territories with and without disturbance from shale gas development in a Central Appalachian watershed during 2013–2015. We also evaluated the degree to which an individual’s methylated state was subject to change across years in individuals that returned over the course of more than one breeding season (i.e. recaptures). Overall, population methylation differed between adult male and female Waterthrush where adult males generally had fewer methylated restriction sites. Methylation also differed between adult females and nestlings. Age influenced methylation in both adult males and females with a decrease in methylation with age, although adult female recaptures had increased methylation with age. Adult males were variably methylated between shale gas undisturbed and disturbed areas at a population and restriction site (i.e. loci) level, where restriction sites were predominately less methylated in shale gas-disturbed areas. Barium (Ba) and strontium (Sr) data from 2013 feather samples showed adult males had fewer methylated sites at higher concentrations of Ba and Sr, whereas nestlings displayed no correlation of methylation to Ba and Sr concentrations. Adult females displayed increased methylation with increased Sr, a trend also seen year to year in adult female recaptures. Overall, results of our study suggest sex-specific influences of shale gas development on gene expression that may affect long-term population survival and fitness.

","language":"English","publisher":"Wiley","doi":"10.1111/ibi.12833","usgsCitation":"Frantz, M., Wood, P.B., Latta, S., and Welsh, A., 2020, Epigenetic response of Louisiana Waterthrush Parkesia motacilla to shale gas development: Ibis, v. 162, no. 4, p. 1211-1224, https://doi.org/10.1111/ibi.12833.","productDescription":"14 p.","startPage":"1211","endPage":"1224","ipdsId":"IP-111204","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":396742,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"West Virginia","otherGeospatial":"Lewis Wetzel Wildlife Management Area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.73989868164062,\n 39.4255858195144\n ],\n [\n -80.53390502929688,\n 39.4255858195144\n ],\n [\n -80.53390502929688,\n 39.56970506644249\n ],\n [\n -80.73989868164062,\n 39.56970506644249\n ],\n [\n -80.73989868164062,\n 39.4255858195144\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"162","issue":"4","noUsgsAuthors":false,"publicationDate":"2020-04-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Frantz, Mack W.","contributorId":287821,"corporation":false,"usgs":false,"family":"Frantz","given":"Mack W.","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":837100,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wood, Petra B. 0000-0002-8575-1705 pbwood@usgs.gov","orcid":"https://orcid.org/0000-0002-8575-1705","contributorId":199090,"corporation":false,"usgs":true,"family":"Wood","given":"Petra","email":"pbwood@usgs.gov","middleInitial":"B.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":837101,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Latta, Steve","contributorId":287822,"corporation":false,"usgs":false,"family":"Latta","given":"Steve","email":"","affiliations":[{"id":61633,"text":"National Aviary","active":true,"usgs":false}],"preferred":false,"id":837102,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Welsh, Amy","contributorId":287823,"corporation":false,"usgs":false,"family":"Welsh","given":"Amy","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":837103,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70209362,"text":"70209362 - 2020 - Landscape drivers of dynamic change in water quality of US rivers","interactions":[],"lastModifiedDate":"2020-05-05T17:20:02.698439","indexId":"70209362","displayToPublicDate":"2020-03-27T06:43:55","publicationYear":"2020","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":"Landscape drivers of dynamic change in water quality of US rivers","docAbstract":"Water security is a top concern for social well-being and dramatic changes in the availability of freshwater have occurred as a result of human uses and landscape management. Elevated nutrient loading and perturbations to major ion composition have resulted from human activities and have degraded freshwater resources. This study addresses the emerging nature of stream water quality in the 21st century through analysis of concentrations and trends in a wide variety of constituents in streams and rivers of the U.S. Concentrations of fifteen separate water quality parameters including nutrients, major ions, sediment, and specific conductance were analyzed over the period 1982-2012 and a targeted trend analysis was performed from 1992-2012. Although environmental policy is geared toward addressing the long-standing problem of nutrient overenrichment, these efforts have had uneven success, with decreasing nutrient concentrations at urbanized sites and little to no change at agricultural sites. However, freshwaters are being salinized rapidly in all human-dominated land use types. Increasing salinity negatively affects biodiversity, mobilizes sediment-bound contaminants, and increases lead contamination of drinking water but the effects are poorly quantified. Therefore, while efforts to control nutrients are ongoing, rapid salinity increases are ushering in a new set of poorly-defined issues.","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.9b05344","collaboration":"","usgsCitation":"Stets, E.G., Sprague, L.A., Oelsner, G.P., Johnson, H.M., Murphy, J.C., Ryberg, K.R., Vecchia, A.V., Zuellig, R.E., Falcone, J.A., and Riskin, M.L., 2020, Landscape drivers of dynamic change in water quality of US rivers: Environmental Science & Technology, v. 54, no. 7, p. 4336-4343, https://doi.org/10.1021/acs.est.9b05344.","productDescription":"8 p.","startPage":"4336","endPage":"4343","ipdsId":"IP-114559","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":457259,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.est.9b05344","text":"Publisher Index Page"},{"id":373743,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -130.67138671875,\n 54.686534234529695\n ],\n [\n -129.9462890625,\n 55.36662484928637\n ],\n [\n -130.1220703125,\n 56.145549500679074\n ],\n [\n -131.9677734375,\n 56.9449741808516\n ],\n [\n -135.3076171875,\n 59.833775202184206\n ],\n [\n -136.38427734375,\n 59.65664225341022\n ],\n [\n -136.6259765625,\n 59.23217626921806\n ],\n [\n -137.52685546875,\n 58.938673187948304\n ],\n [\n -137.65869140625,\n 59.33318942659219\n ],\n [\n -138.8232421875,\n 60.009970961180386\n ],\n [\n -139.21874999999997,\n 60.108670463036\n ],\n [\n -139.04296875,\n 60.403001945865476\n ],\n [\n -139.85595703125,\n 60.337823495982015\n ],\n [\n -140.99853515625,\n 60.337823495982015\n ],\n [\n -141.15234374999997,\n 69.71810669906763\n ],\n [\n -143.4375,\n 70.17020068549206\n ],\n [\n -145.1953125,\n 70.08056215839737\n ],\n [\n -149.765625,\n 70.58341752317065\n ],\n [\n -152.40234375,\n 70.61261423801925\n ],\n [\n -152.314453125,\n 70.95969716686398\n ],\n [\n -157.1484375,\n 71.35706654962706\n ],\n [\n -159.9609375,\n 70.8734913192635\n ],\n [\n -162.0703125,\n 70.31873847853124\n ],\n [\n -163.916015625,\n 69.06856318696033\n ],\n [\n -166.376953125,\n 68.942606818121\n ],\n [\n -166.376953125,\n 68.26938680456564\n ],\n [\n -163.30078125,\n 66.86108230224609\n ],\n [\n -161.982421875,\n 66.47820814385636\n ],\n [\n -163.564453125,\n 66.08936427047088\n ],\n [\n -163.564453125,\n 66.6181218846659\n ],\n [\n -165.76171875,\n 66.40795547978848\n ],\n [\n -168.0908203125,\n 65.69447579373418\n ],\n [\n -166.55273437499997,\n 65.14611484756372\n ],\n [\n -166.904296875,\n 65.05360170595502\n ],\n [\n -166.3330078125,\n 64.41592147626879\n ],\n [\n -162.861328125,\n 64.39693778132846\n ],\n [\n -160.927734375,\n 64.90491004905083\n ],\n [\n -161.0595703125,\n 64.47279382008166\n ],\n [\n -161.4990234375,\n 64.49172504435471\n ],\n [\n -160.8837890625,\n 63.87939001720202\n ],\n [\n -161.1474609375,\n 63.470144746565424\n ],\n [\n -162.6416015625,\n 63.64625919492172\n ],\n [\n -163.212890625,\n 63.05495931065107\n ],\n [\n -164.2236328125,\n 63.37183226679281\n ],\n [\n -166.1572265625,\n 61.75233128411639\n ],\n [\n -165.3662109375,\n 60.54377524118842\n ],\n [\n -167.431640625,\n 60.326947742998414\n ],\n [\n -167.255859375,\n 59.866883195210214\n ],\n [\n -165.8935546875,\n 59.7563950493563\n ],\n [\n -162.68554687499997,\n 59.734253447591364\n ],\n [\n -162.3779296875,\n 60.174306261926034\n ],\n [\n -161.806640625,\n 59.46740794183739\n ],\n [\n -162.0263671875,\n 59.108308258604964\n ],\n [\n -161.806640625,\n 58.768200159239576\n ],\n [\n -162.20214843749997,\n 58.65408464530598\n ],\n [\n -160.83984375,\n 58.44773280389084\n ],\n [\n -159.9609375,\n 58.6769376725869\n ],\n [\n -159.08203125,\n 58.309488840677645\n ],\n [\n -156.88476562499997,\n 58.92733441827545\n ],\n [\n -157.5,\n 58.516651799363785\n ],\n [\n -157.8076171875,\n 57.61010702068388\n ],\n [\n -161.54296875,\n 56.022948079627454\n ],\n [\n -168.6181640625,\n 53.4357192066942\n ],\n [\n -174.9462890625,\n 52.26815737376817\n ],\n [\n -178.2421875,\n 51.83577752045248\n ],\n [\n -173.1884765625,\n 51.590722643120145\n ],\n [\n -162.5537109375,\n 54.23955053156177\n ],\n [\n -155.302734375,\n 55.52863052257191\n ],\n [\n -151.4794921875,\n 57.51582286553883\n ],\n [\n -146.9970703125,\n 60.08676274626006\n ],\n [\n -145.546875,\n 60.21799073323445\n ],\n [\n -144.228515625,\n 59.689926220143356\n ],\n [\n -142.3828125,\n 59.93300042374631\n ],\n [\n -138.3837890625,\n 58.83649009392136\n ],\n [\n -135.6591796875,\n 56.31653672211301\n ],\n [\n -133.2421875,\n 54.521081495443596\n ],\n [\n -130.67138671875,\n 54.686534234529695\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -66.796875,\n 44.902577996288876\n ],\n [\n -67.67578124999999,\n 45.583289756006316\n ],\n [\n -67.939453125,\n 47.57652571374621\n ],\n [\n -69.2578125,\n 47.338822694822\n ],\n [\n -71.19140625,\n 45.27488643704891\n ],\n [\n -75.146484375,\n 44.96479793033101\n ],\n [\n -78.046875,\n 43.644025847699496\n ],\n [\n -79.1015625,\n 43.51668853502906\n ],\n [\n -79.1015625,\n 42.87596410238256\n ],\n [\n -82.68310546875,\n 41.65649719441145\n ],\n [\n -83.14453125,\n 42.049292638686836\n ],\n [\n -83.07861328125,\n 42.374778361114195\n ],\n [\n -82.529296875,\n 42.601619944327965\n ],\n [\n -82.24365234375,\n 43.6599240747891\n ],\n [\n -82.41943359375,\n 45.058001435398275\n ],\n [\n -83.60595703125,\n 45.85941212790755\n ],\n [\n -83.49609375,\n 46.027481852486645\n ],\n [\n -83.7158203125,\n 46.164614496897094\n ],\n [\n -83.95751953125,\n 46.07323062540835\n ],\n [\n -84.24316406249999,\n 46.558860303117164\n ],\n [\n -84.72656249999999,\n 46.558860303117164\n ],\n [\n -84.90234375,\n 46.92025531537451\n ],\n [\n -88.41796875,\n 48.3416461723746\n ],\n [\n -89.3408203125,\n 47.96050238891509\n ],\n [\n -90.76904296874999,\n 48.122101028190805\n ],\n [\n -90.87890625,\n 48.22467264956519\n ],\n [\n -91.51611328125,\n 48.10743118848039\n ],\n [\n -92.2412109375,\n 48.37084770238366\n ],\n [\n -92.39501953125,\n 48.23930899024907\n ],\n [\n -92.94433593749999,\n 48.61838518688487\n ],\n [\n -93.44970703125,\n 48.63290858589535\n ],\n [\n -94.7021484375,\n 48.748945343432936\n ],\n [\n -94.833984375,\n 49.23912083246698\n ],\n [\n -95.1416015625,\n 49.396675075193976\n ],\n [\n -95.20751953125,\n 49.009050809382046\n ],\n [\n -123.22265625000001,\n 48.99463598353405\n ],\n [\n -123.0908203125,\n 48.80686346108517\n ],\n [\n -123.24462890625,\n 48.66194284607006\n ],\n [\n -123.1787109375,\n 48.32703913063476\n ],\n [\n -124.78271484375,\n 48.472921272487824\n ],\n [\n -124.93652343749999,\n 48.16608541901253\n ],\n [\n -124.365234375,\n 46.58906908309182\n ],\n [\n -124.541015625,\n 44.15068115978094\n ],\n [\n -124.93652343749999,\n 42.69858589169842\n ],\n [\n -124.541015625,\n 41.22824901518529\n ],\n [\n -124.73876953125,\n 40.43022363450862\n ],\n [\n -124.03564453125,\n 39.35129035526705\n ],\n [\n -124.01367187499999,\n 38.8225909761771\n ],\n [\n -122.05810546875,\n 36.12012758978146\n ],\n [\n -120.95947265624999,\n 34.88593094075317\n ],\n [\n -120.80566406250001,\n 34.08906131584994\n ],\n [\n -118.21289062499999,\n 32.2313896627376\n ],\n [\n -117.22412109375,\n 32.54681317351514\n ],\n [\n -114.78515624999999,\n 32.713355353177555\n ],\n [\n -114.78515624999999,\n 32.491230287947594\n ],\n [\n -110.98388671874999,\n 31.3348710339506\n ],\n [\n -108.21533203125,\n 31.297327991404266\n ],\n [\n -108.2373046875,\n 31.765537409484374\n ],\n [\n -106.435546875,\n 31.765537409484374\n ],\n [\n -104.9853515625,\n 30.600093873550072\n ],\n [\n -104.47998046875,\n 29.592565403314087\n ],\n [\n -103.20556640625,\n 28.94086176940557\n ],\n [\n -102.65625,\n 29.76437737516313\n ],\n [\n -102.3486328125,\n 29.84064389983441\n ],\n [\n -101.49169921875,\n 29.7453016622136\n ],\n [\n -100.83251953125,\n 29.267232865200878\n ],\n [\n -100.30517578125,\n 28.246327971048842\n ],\n [\n -99.60205078124999,\n 27.586197857692664\n ],\n [\n -99.47021484375,\n 27.31321389856826\n ],\n [\n -99.228515625,\n 26.52956523826758\n ],\n [\n -98.2177734375,\n 26.05678288577881\n ],\n [\n -97.75634765625,\n 26.03704188651584\n ],\n [\n -97.44873046875,\n 25.839449402063185\n ],\n [\n -97.20703125,\n 25.93828707492375\n ],\n [\n -96.8994140625,\n 26.194876675795218\n ],\n [\n -96.78955078125,\n 27.858503954841247\n ],\n [\n -93.75732421875,\n 29.420460341013133\n ],\n [\n -90.2197265625,\n 28.998531814051795\n ],\n [\n -88.22021484375,\n 29.05616970274342\n ],\n [\n -87.91259765625,\n 30.14512718337613\n ],\n [\n -86.5283203125,\n 30.183121842195515\n ],\n [\n -85.2978515625,\n 29.49698759653577\n ],\n [\n -84.13330078125,\n 29.80251790576445\n ],\n [\n -82.81494140625,\n 28.555576049185973\n ],\n [\n -83.21044921875,\n 27.800209937418252\n ],\n [\n -82.77099609375,\n 26.941659545381516\n ],\n [\n -82.08984375,\n 25.878994400196202\n ],\n [\n -81.5625,\n 25.264568475331583\n ],\n [\n -82.28759765625,\n 24.467150664739002\n ],\n [\n -82.0458984375,\n 24.046463999666567\n ],\n [\n -80.6396484375,\n 24.56710835257599\n ],\n [\n -79.78271484375,\n 25.34402602913433\n ],\n [\n -79.60693359375,\n 27.27416111737468\n ],\n [\n -80.68359375,\n 30.713503990354965\n ],\n [\n -80.66162109375,\n 31.50362930577303\n ],\n [\n -76.81640625,\n 34.07086232376631\n ],\n [\n -75.16845703124999,\n 35.263561862152095\n ],\n [\n -75.498046875,\n 37.055177106660814\n ],\n [\n -73.58642578125,\n 39.90973623453719\n ],\n [\n -71.3671875,\n 40.84706035607122\n ],\n [\n -69.63134765625,\n 40.9964840143779\n ],\n [\n -70.0048828125,\n 42.342305278572816\n ],\n [\n -70.3564453125,\n 42.89206418807337\n ],\n [\n -67.2802734375,\n 44.37098696297173\n ],\n [\n -67.0166015625,\n 44.69989765840318\n ],\n [\n -66.796875,\n 44.902577996288876\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -67.2308349609375,\n 17.96305758238804\n ],\n [\n -67.2198486328125,\n 17.910795834978483\n ],\n [\n -66.5716552734375,\n 17.866361230891894\n ],\n [\n -66.16790771484375,\n 17.90556881196468\n ],\n [\n -65.85205078125,\n 17.973508079068797\n ],\n [\n -65.7861328125,\n 18.04142122189195\n ],\n [\n -65.50323486328125,\n 18.06231230454674\n ],\n [\n -65.2587890625,\n 18.114529138838503\n ],\n [\n -65.269775390625,\n 18.15629140283545\n ],\n [\n -65.4400634765625,\n 18.18238775108558\n ],\n [\n -65.51422119140625,\n 18.14324176648384\n ],\n [\n -65.5609130859375,\n 18.40665471391907\n ],\n [\n -65.64880371093749,\n 18.404048629104647\n ],\n [\n -65.77789306640625,\n 18.417078658661257\n ],\n [\n -65.9124755859375,\n 18.46918890441719\n ],\n [\n -66.24755859375,\n 18.510865709091377\n ],\n [\n -66.4837646484375,\n 18.503052080569763\n ],\n [\n -66.98638916015625,\n 18.51347017266187\n ],\n [\n -67.115478515625,\n 18.534304453676864\n ],\n [\n -67.181396484375,\n 18.48742375381096\n ],\n [\n -67.16217041015625,\n 18.432713391700858\n ],\n [\n -67.2637939453125,\n 18.375379094031825\n ],\n [\n -67.19238281249999,\n 18.2397859708389\n ],\n [\n -67.2308349609375,\n 17.96305758238804\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"54","issue":"7","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2020-03-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Stets, Edward G. 0000-0001-5375-0196 estets@usgs.gov","orcid":"https://orcid.org/0000-0001-5375-0196","contributorId":194490,"corporation":false,"usgs":true,"family":"Stets","given":"Edward","email":"estets@usgs.gov","middleInitial":"G.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":786306,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sprague, Lori A. 0000-0003-2832-6662 lsprague@usgs.gov","orcid":"https://orcid.org/0000-0003-2832-6662","contributorId":726,"corporation":false,"usgs":true,"family":"Sprague","given":"Lori","email":"lsprague@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true}],"preferred":true,"id":786307,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Oelsner, Gretchen P. 0000-0001-9329-7357 goelsner@usgs.gov","orcid":"https://orcid.org/0000-0001-9329-7357","contributorId":4440,"corporation":false,"usgs":true,"family":"Oelsner","given":"Gretchen","email":"goelsner@usgs.gov","middleInitial":"P.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":786308,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Henry M. 0000-0002-7571-4994 hjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7571-4994","contributorId":869,"corporation":false,"usgs":true,"family":"Johnson","given":"Henry","email":"hjohnson@usgs.gov","middleInitial":"M.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":786309,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Murphy, Jennifer C. 0000-0002-0881-0919 jmurphy@usgs.gov","orcid":"https://orcid.org/0000-0002-0881-0919","contributorId":167405,"corporation":false,"usgs":true,"family":"Murphy","given":"Jennifer","email":"jmurphy@usgs.gov","middleInitial":"C.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":false,"id":786310,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ryberg, Karen R. 0000-0002-9834-2046 kryberg@usgs.gov","orcid":"https://orcid.org/0000-0002-9834-2046","contributorId":1172,"corporation":false,"usgs":true,"family":"Ryberg","given":"Karen","email":"kryberg@usgs.gov","middleInitial":"R.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":786311,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Vecchia, Aldo V. 0000-0002-2661-4401 avecchia@usgs.gov","orcid":"https://orcid.org/0000-0002-2661-4401","contributorId":1173,"corporation":false,"usgs":true,"family":"Vecchia","given":"Aldo","email":"avecchia@usgs.gov","middleInitial":"V.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true},{"id":478,"text":"North Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":786312,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Zuellig, Robert E. 0000-0002-4784-2905 rzuellig@usgs.gov","orcid":"https://orcid.org/0000-0002-4784-2905","contributorId":1620,"corporation":false,"usgs":true,"family":"Zuellig","given":"Robert","email":"rzuellig@usgs.gov","middleInitial":"E.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":786313,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Falcone, James A. 0000-0001-7202-3592 jfalcone@usgs.gov","orcid":"https://orcid.org/0000-0001-7202-3592","contributorId":173496,"corporation":false,"usgs":true,"family":"Falcone","given":"James","email":"jfalcone@usgs.gov","middleInitial":"A.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":false,"id":786314,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Riskin, Melissa L. 0000-0001-6499-3775 mriskin@usgs.gov","orcid":"https://orcid.org/0000-0001-6499-3775","contributorId":654,"corporation":false,"usgs":true,"family":"Riskin","given":"Melissa","email":"mriskin@usgs.gov","middleInitial":"L.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":786315,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70209092,"text":"fs20203017 - 2020 - Pyrrhotite distribution in the conterminous United States, 2020","interactions":[],"lastModifiedDate":"2022-04-20T18:44:59.3731","indexId":"fs20203017","displayToPublicDate":"2020-03-26T11:45:00","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-3017","displayTitle":"Pyrrhotite Distribution in the Conterminous United States, 2020","title":"Pyrrhotite distribution in the conterminous United States, 2020","docAbstract":"

In parts of Connecticut and Massachusetts, foundations of some homes are cracking and crumbling. Failing foundations can reduce the market value of a home and lifting a house to replace and repour a foundation is an expensive undertaking. In response, some homeowners are defaulting on their mortgages and abandoning their homes. The culprit is pyrrhotite, which occurs in construction aggregate (crushed stone) that was used as a filler in concrete. When pyrrhotite is naturally exposed to water and oxygen, it breaks down to produce sulfuric acid and secondary minerals, including gypsum, which have larger volumes than the pyrrhotite they replace. The expanded volume of the secondary minerals cracks and degrades concrete.

Pyrrhotite occurs in rocks in many areas of the United States. To help assess the national risk of pyrrhotite in aggregate, the fiscal year 2019 appropriations bill for the U.S. Geological Survey’s (USGS) Mineral Resources Program allocated funds to develop a map showing the distribution of pyrrhotite across the United States. The purpose of this fact sheet is to (1) present a nationwide map that shows where pyrrhotite may occur in rocks in the United States, (2) describe and discuss the factors that control the presence and abundance of pyrrhotite in rocks, (3) provide information on geographic information system datasets that deliver more detailed information on these distributions, and (4) describe U.S. and international standards on aggregate that are designed to prevent failing concrete.

While this map and fact sheet provide general information about the possible distribution of pyrrhotite in the United States, they are no substitute for site-specific characterization and quality control programs designed to ensure that aggregate used in concrete is of appropriate quality for its intended purpose.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/fs20203017","usgsCitation":"Mauk, J.L., Crafford, T.C., Horton, J.D., San Juan, C.A., and Robinson, G.R., Jr., 2020, Pyrrhotite distribution in the conterminous United States, 2020: U.S. Geological Survey Fact Sheet 2020-3017, 4 p., https://doi.org/10.3133/fs20203017.","productDescription":"Report: 3 p.; Data Release","onlineOnly":"N","ipdsId":"IP-115853","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":373411,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2020/3017/coverthb.jpg"},{"id":399202,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_109801.htm"},{"id":373413,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9QSWBU6","text":"USGS data release","description":"USGS data release","linkHelpText":"Data to accompany U.S. Geological Survey Fact Sheet 2020-3017: Pyrrhotite distribution in the conterminous United States"},{"id":373412,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2020/3017/fs20203017.pdf","text":"Report","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2020-3017"}],"country":"United States","otherGeospatial":"Conterminous United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"geometry\": {\n \"type\": \"MultiPolygon\",\n \"coordinates\": [\n [\n [\n [\n -94.81758,\n 49.38905\n ],\n [\n -94.64,\n 48.84\n ],\n [\n -94.32914,\n 48.67074\n ],\n [\n -93.63087,\n 48.60926\n ],\n [\n -92.61,\n 48.45\n ],\n [\n -91.64,\n 48.14\n ],\n [\n -90.83,\n 48.27\n ],\n [\n -89.6,\n 48.01\n ],\n [\n -89.27292,\n 48.01981\n ],\n [\n -88.37811,\n 48.30292\n ],\n [\n -87.43979,\n 47.94\n ],\n [\n -86.46199,\n 47.55334\n ],\n [\n -85.65236,\n 47.22022\n ],\n [\n -84.87608,\n 46.90008\n ],\n [\n -84.77924,\n 46.6371\n ],\n [\n -84.54375,\n 46.53868\n ],\n [\n -84.6049,\n 46.4396\n ],\n [\n -84.3367,\n 46.40877\n ],\n [\n -84.14212,\n 46.51223\n ],\n [\n -84.09185,\n 46.27542\n ],\n [\n -83.89077,\n 46.11693\n ],\n [\n -83.61613,\n 46.11693\n ],\n [\n -83.46955,\n 45.99469\n ],\n [\n -83.59285,\n 45.81689\n ],\n [\n -82.55092,\n 45.34752\n ],\n [\n -82.33776,\n 44.44\n ],\n [\n -82.13764,\n 43.57109\n ],\n [\n -82.43,\n 42.98\n ],\n [\n -82.9,\n 42.43\n ],\n [\n -83.12,\n 42.08\n ],\n [\n -83.142,\n 41.97568\n ],\n [\n -83.02981,\n 41.8328\n ],\n [\n -82.69009,\n 41.67511\n ],\n [\n -82.43928,\n 41.67511\n ],\n [\n -81.27775,\n 42.20903\n ],\n [\n -80.24745,\n 42.3662\n ],\n [\n -78.93936,\n 42.86361\n ],\n [\n -78.92,\n 42.965\n ],\n [\n -79.01,\n 43.27\n ],\n [\n -79.17167,\n 43.46634\n ],\n [\n -78.72028,\n 43.62509\n ],\n [\n -77.73789,\n 43.62906\n ],\n [\n -76.82003,\n 43.62878\n ],\n [\n -76.5,\n 44.01846\n ],\n [\n -76.375,\n 44.09631\n ],\n [\n -75.31821,\n 44.81645\n ],\n [\n -74.867,\n 45.00048\n ],\n [\n -73.34783,\n 45.00738\n ],\n [\n -71.50506,\n 45.0082\n ],\n [\n -71.405,\n 45.255\n ],\n [\n -71.08482,\n 45.30524\n ],\n [\n -70.66,\n 45.46\n ],\n [\n -70.305,\n 45.915\n ],\n [\n -69.99997,\n 46.69307\n ],\n [\n -69.23722,\n 47.44778\n ],\n [\n -68.905,\n 47.185\n ],\n [\n -68.23444,\n 47.35486\n ],\n [\n -67.79046,\n 47.06636\n ],\n [\n -67.79134,\n 45.70281\n ],\n [\n -67.13741,\n 45.13753\n ],\n [\n -66.96466,\n 44.8097\n ],\n [\n -68.03252,\n 44.3252\n ],\n [\n -69.06,\n 43.98\n ],\n [\n -70.11617,\n 43.68405\n ],\n [\n -70.64548,\n 43.09024\n ],\n [\n -70.81489,\n 42.8653\n ],\n [\n -70.825,\n 42.335\n ],\n [\n -70.495,\n 41.805\n ],\n [\n -70.08,\n 41.78\n ],\n [\n -70.185,\n 42.145\n ],\n [\n -69.88497,\n 41.92283\n ],\n [\n -69.96503,\n 41.63717\n ],\n [\n -70.64,\n 41.475\n ],\n [\n -71.12039,\n 41.49445\n ],\n [\n -71.86,\n 41.32\n ],\n [\n -72.295,\n 41.27\n ],\n [\n -72.87643,\n 41.22065\n ],\n [\n -73.71,\n 40.9311\n ],\n [\n -72.24126,\n 41.11948\n ],\n [\n -71.945,\n 40.93\n ],\n [\n -73.345,\n 40.63\n ],\n [\n -73.982,\n 40.628\n ],\n [\n -73.95232,\n 40.75075\n ],\n [\n -74.25671,\n 40.47351\n ],\n [\n -73.96244,\n 40.42763\n ],\n [\n -74.17838,\n 39.70926\n ],\n [\n -74.90604,\n 38.93954\n ],\n [\n -74.98041,\n 39.1964\n ],\n [\n -75.20002,\n 39.24845\n ],\n [\n -75.52805,\n 39.4985\n ],\n [\n -75.32,\n 38.96\n ],\n [\n -75.07183,\n 38.78203\n ],\n [\n -75.05673,\n 38.40412\n ],\n [\n -75.37747,\n 38.01551\n ],\n [\n -75.94023,\n 37.21689\n ],\n [\n -76.03127,\n 37.2566\n ],\n [\n -75.72205,\n 37.93705\n ],\n [\n -76.23287,\n 38.31921\n ],\n [\n -76.35,\n 39.15\n ],\n [\n -76.54272,\n 38.71762\n ],\n [\n -76.32933,\n 38.08326\n ],\n [\n -76.99,\n 38.23999\n ],\n [\n -76.30162,\n 37.91794\n ],\n [\n -76.25874,\n 36.9664\n ],\n [\n -75.9718,\n 36.89726\n ],\n [\n -75.86804,\n 36.55125\n ],\n [\n -75.72749,\n 35.55074\n ],\n [\n -76.36318,\n 34.80854\n ],\n [\n -77.39763,\n 34.51201\n ],\n [\n -78.05496,\n 33.92547\n ],\n [\n -78.55435,\n 33.86133\n ],\n [\n -79.06067,\n 33.49395\n ],\n [\n -79.20357,\n 33.15839\n ],\n [\n -80.30132,\n 32.50935\n ],\n [\n -80.86498,\n 32.0333\n ],\n [\n -81.33629,\n 31.44049\n ],\n [\n -81.49042,\n 30.72999\n ],\n [\n -81.31371,\n 30.03552\n ],\n [\n -80.98,\n 29.18\n ],\n [\n -80.53558,\n 28.47213\n ],\n [\n -80.53,\n 28.04\n ],\n [\n -80.05654,\n 26.88\n ],\n [\n -80.08801,\n 26.20576\n ],\n [\n -80.13156,\n 25.81677\n ],\n [\n -80.38103,\n 25.20616\n ],\n [\n -80.68,\n 25.08\n ],\n [\n -81.17213,\n 25.20126\n ],\n [\n -81.33,\n 25.64\n ],\n [\n -81.71,\n 25.87\n ],\n [\n -82.24,\n 26.73\n ],\n [\n -82.70515,\n 27.49504\n ],\n [\n -82.85526,\n 27.88624\n ],\n [\n -82.65,\n 28.55\n ],\n [\n -82.93,\n 29.1\n ],\n [\n -83.70959,\n 29.93656\n ],\n [\n -84.1,\n 30.09\n ],\n [\n -85.10882,\n 29.63615\n ],\n [\n -85.28784,\n 29.68612\n ],\n [\n -85.7731,\n 30.15261\n ],\n [\n -86.4,\n 30.4\n ],\n [\n -87.53036,\n 30.27433\n ],\n [\n -88.41782,\n 30.3849\n ],\n [\n -89.18049,\n 30.31598\n ],\n [\n -89.59383,\n 30.15999\n ],\n [\n -89.41373,\n 29.89419\n ],\n [\n -89.43,\n 29.48864\n ],\n [\n -89.21767,\n 29.29108\n ],\n [\n -89.40823,\n 29.15961\n ],\n [\n -89.77928,\n 29.30714\n ],\n [\n -90.15463,\n 29.11743\n ],\n [\n -90.88022,\n 29.14854\n ],\n [\n -91.62678,\n 29.677\n ],\n [\n -92.49906,\n 29.5523\n ],\n [\n -93.22637,\n 29.78375\n ],\n [\n -93.84842,\n 29.71363\n ],\n [\n -94.69,\n 29.48\n ],\n [\n -95.60026,\n 28.73863\n ],\n [\n -96.59404,\n 28.30748\n ],\n [\n -97.14,\n 27.83\n ],\n [\n -97.37,\n 27.38\n ],\n [\n -97.38,\n 26.69\n ],\n [\n -97.33,\n 26.21\n ],\n [\n -97.14,\n 25.87\n ],\n [\n -97.53,\n 25.84\n ],\n [\n -98.24,\n 26.06\n ],\n [\n -99.02,\n 26.37\n ],\n [\n -99.3,\n 26.84\n ],\n [\n -99.52,\n 27.54\n ],\n [\n -100.11,\n 28.11\n ],\n [\n -100.45584,\n 28.69612\n ],\n [\n -100.9576,\n 29.38071\n ],\n [\n -101.6624,\n 29.7793\n ],\n [\n -102.48,\n 29.76\n ],\n [\n -103.11,\n 28.97\n ],\n [\n -103.94,\n 29.27\n ],\n [\n -104.45697,\n 29.57196\n ],\n [\n -104.70575,\n 30.12173\n ],\n [\n -105.03737,\n 30.64402\n ],\n [\n -105.63159,\n 31.08383\n ],\n [\n -106.1429,\n 31.39995\n ],\n [\n -106.50759,\n 31.75452\n ],\n [\n -108.24,\n 31.75485\n ],\n [\n -108.24194,\n 31.34222\n ],\n [\n -109.035,\n 31.34194\n ],\n [\n -111.02361,\n 31.33472\n ],\n [\n -113.30498,\n 32.03914\n ],\n [\n -114.815,\n 32.52528\n ],\n [\n -114.72139,\n 32.72083\n ],\n [\n -115.99135,\n 32.61239\n ],\n [\n -117.12776,\n 32.53534\n ],\n [\n -117.29594,\n 33.04622\n ],\n [\n -117.944,\n 33.62124\n ],\n [\n -118.4106,\n 33.74091\n ],\n [\n -118.51989,\n 34.02778\n ],\n [\n -119.081,\n 34.078\n ],\n [\n -119.43884,\n 34.34848\n ],\n [\n -120.36778,\n 34.44711\n ],\n [\n -120.62286,\n 34.60855\n ],\n [\n -120.74433,\n 35.15686\n ],\n [\n -121.71457,\n 36.16153\n ],\n [\n -122.54747,\n 37.55176\n ],\n [\n -122.51201,\n 37.78339\n ],\n [\n -122.95319,\n 38.11371\n ],\n [\n -123.7272,\n 38.95166\n ],\n [\n -123.86517,\n 39.76699\n ],\n [\n -124.39807,\n 40.3132\n ],\n [\n -124.17886,\n 41.14202\n ],\n [\n -124.2137,\n 41.99964\n ],\n [\n -124.53284,\n 42.76599\n ],\n [\n -124.14214,\n 43.70838\n ],\n [\n -124.02053,\n 44.6159\n ],\n [\n -123.89893,\n 45.52341\n ],\n [\n -124.07963,\n 46.86475\n ],\n [\n -124.39567,\n 47.72017\n ],\n [\n -124.68721,\n 48.18443\n ],\n [\n -124.5661,\n 48.37971\n ],\n [\n -123.12,\n 48.04\n ],\n [\n -122.58736,\n 47.096\n ],\n [\n -122.34,\n 47.36\n ],\n [\n -122.5,\n 48.18\n ],\n [\n -122.84,\n 49\n ],\n [\n -120,\n 49\n ],\n [\n -117.03121,\n 49\n ],\n [\n -116.04818,\n 49\n ],\n [\n -113,\n 49\n ],\n [\n -110.05,\n 49\n ],\n [\n -107.05,\n 49\n ],\n [\n -104.04826,\n 48.99986\n ],\n [\n -100.65,\n 49\n ],\n [\n -97.22872,\n 49.0007\n ],\n [\n -95.15907,\n 49\n ],\n [\n -95.15609,\n 49.38425\n ],\n [\n -94.81758,\n 49.38905\n ]\n ]\n ]\n ]\n },\n \"properties\": {\n \"name\": \"United States\"\n }\n }\n ]\n}","contact":"

Director, Geology, Geophysics, and Geochemistry Science Center
U.S. Geological Survey
Box 25046, MS-973
Denver, CO 80225-0046

","tableOfContents":"","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"publishedDate":"2020-03-26","noUsgsAuthors":false,"publicationDate":"2020-03-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Mauk, Jeffrey L. 0000-0002-6244-2774 jmauk@usgs.gov","orcid":"https://orcid.org/0000-0002-6244-2774","contributorId":4101,"corporation":false,"usgs":true,"family":"Mauk","given":"Jeffrey","email":"jmauk@usgs.gov","middleInitial":"L.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":784900,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crafford, Thomas C. 0000-0003-1524-0835","orcid":"https://orcid.org/0000-0003-1524-0835","contributorId":97953,"corporation":false,"usgs":true,"family":"Crafford","given":"Thomas","email":"","middleInitial":"C.","affiliations":[{"id":260,"text":"Energy and Minerals","active":false,"usgs":true}],"preferred":false,"id":785238,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Horton, John D. 0000-0003-2969-9073 jhorton@usgs.gov","orcid":"https://orcid.org/0000-0003-2969-9073","contributorId":1227,"corporation":false,"usgs":true,"family":"Horton","given":"John","email":"jhorton@usgs.gov","middleInitial":"D.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":784901,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"San Juan, Carma A. 0000-0002-9151-1919 csanjuan@usgs.gov","orcid":"https://orcid.org/0000-0002-9151-1919","contributorId":1146,"corporation":false,"usgs":true,"family":"San Juan","given":"Carma","email":"csanjuan@usgs.gov","middleInitial":"A.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":784902,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Robinson, Jr. 0000-0002-9676-9564","orcid":"https://orcid.org/0000-0002-9676-9564","contributorId":8479,"corporation":false,"usgs":true,"family":"Robinson","suffix":"Jr.","email":"","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":5068,"text":"Midwest Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":784903,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70208684,"text":"sir20205008 - 2020 - Effects of huisache removal on rangeland evapotranspiration in Victoria County, south-central Texas, 2015–18","interactions":[],"lastModifiedDate":"2022-04-25T21:19:00.19189","indexId":"sir20205008","displayToPublicDate":"2020-03-26T09:18:33","publicationYear":"2020","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":"2020-5008","displayTitle":"Effects of Huisache Removal on Rangeland Evapotranspiration in Victoria County, South-Central Texas, 2015–18","title":"Effects of huisache removal on rangeland evapotranspiration in Victoria County, south-central Texas, 2015–18","docAbstract":"

The U.S. Geological Survey and Desert Research Institute, in cooperation with the Natural Resources Conservation Service, Texas State Soil and Water Conservation Board, Victoria County Groundwater Conservation District, Victoria Soil and Water Conservation District, and the San Antonio River Authority, evaluated the hydrologic effects of Vachellia farnesiana var. farnesiana (huisache) removal on rangeland evapotranspiration in Victoria County, Texas. Measurements of evapotranspiration, rainfall, and related properties were made at two sites during March 2015 through August 2018. One site was predominantly grassland. The other site was dominated by dense huisache vegetation that was removed about halfway through the study period. The resulting evapotranspiration data were examined for differences between the locations and differences between the pre-removal (2015–16) and post-removal (2017–18) periods to assess the effects of huisache removal on evapotranspiration. Evapotranspiration measurements were made using the eddy-covariance technique and were supplemented by remote-sensing estimates of evapotranspiration derived from thermal and optical satellite images. A map of remotely sensed evapotranspiration was generated for the area surrounding the study sites for 2015 and demonstrates the capability of remote sensing to evaluate land-management effects on evapotranspiration for larger scale areas, such as a county or stream-basin area.

During the pre-removal period (March 2015–December 2016), evapotranspiration was greater at the huisache site than at the grassland site. Evapotranspiration at the grassland site (average of the eddy-covariance evapotranspiration and average remotely sensed evapotranspiration) was 87.6 millimeters per month (mm/mo) and at the huisache site was 100.8 mm/mo, with the differences in evapotranspiration rates being attributed to the difference in site vegetation. After huisache was removed in January 2017, evapotranspiration at the huisache site was substantially lower than at the grassland site, the changes in evapotranspiration rates being attributed not only to removal of huisache vegetation but also to possible disruption of soil runoff and infiltration characteristics. During the post-removal period (February 2017–August 2018), evapotranspiration was 88.5 mm/mo at the grassland site and 72.9 mm/mo at the huisache site (average of the eddy-covariance and average remotely sensed evapotranspiration).

The monthly differences in evapotranspiration between the grassland and huisache sites, determined by eddy-covariance and remote-sensing methods, were statistically significant between the pre-removal and post-removal periods. Also, the pre-removal period provided the best conditions to evaluate the differences between huisache site and grassland site evapotranspiration. During the pre-removal period, evapotranspiration from the huisache site as measured by the eddy-covariance method was, on average, 10.7 mm/mo greater than evapotranspiration measured at the grassland site. As determined by the average of the remotely sensed methods, huisache site evapotranspiration was 15.8 mm/mo greater than grassland site evapotranspiration. These average differences in evapotranspiration rates by the two methods indicate that evapotranspiration at the grassland site was, on average, 13.2 mm/mo less than that at the huisache site during the pre-removal period. This average difference in evapotranspiration rates also indicates potential increased groundwater recharge and (or) surface-water runoff at the grassland site.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205008","collaboration":"Prepared in cooperation with the Natural Resources Conservation Service, Texas State Soil and Water Conservation Board, Victoria County Groundwater Conservation District, Victoria Soil and Water Conservation District, and the San Antonio River Authority","usgsCitation":"Slattery, R.N., Ockerman, D.J., Bromley, M., Huntington, J., and Banta, J.R., 2020, Effects of huisache removal on rangeland evapotranspiration in Victoria County, south-central Texas, 2015–18: U.S. Geological Survey Scientific Investigations Report 2020–5008, 27 p., https://doi.org/10.3133/sir20205008.","productDescription":"Report: ix, 27 p.; Data Release","numberOfPages":"42","onlineOnly":"Y","ipdsId":"IP-113663","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":399630,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_109800.htm"},{"id":373451,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P950QSRE","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Evapotranspiration measured at two rangeland sites in Victoria County, south-central Texas, 2015–2018:"},{"id":373450,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2020/5008/sir20205008.pdf","text":"Report","size":"23.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2020–5008"},{"id":373449,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2020/5008/coverthb2.jpg"}],"country":"United States","state":"Texas","county":"Victoria County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-96.9389,29.0627],[-96.933,29.0565],[-96.878,29.0352],[-96.844,29.0241],[-96.8338,29.0197],[-96.8303,29.0164],[-96.8264,29.008],[-96.8211,28.9982],[-96.8191,28.9945],[-96.8187,28.9922],[-96.8178,28.9876],[-96.8158,28.9852],[-96.8128,28.9828],[-96.8108,28.9791],[-96.812,28.9759],[-96.81,28.9736],[-96.8069,28.9725],[-96.807,28.9698],[-96.8082,28.9666],[-96.8084,28.9606],[-96.8046,28.9514],[-96.8043,28.9463],[-96.8029,28.9417],[-96.7985,28.9337],[-96.7935,28.9276],[-96.7926,28.9239],[-96.7903,28.9183],[-96.7846,28.9159],[-96.7769,28.9138],[-96.7734,28.9109],[-96.7709,28.9072],[-96.77,28.9044],[-96.7637,28.9038],[-96.7618,28.9014],[-96.7598,28.8977],[-96.7552,28.8957],[-96.7475,28.8945],[-96.746,28.8927],[-96.7455,28.8908],[-96.7388,28.8901],[-96.7331,28.8881],[-96.7323,28.8835],[-96.732,28.8771],[-96.7316,28.8734],[-96.7297,28.8701],[-96.7256,28.8682],[-96.7232,28.8635],[-96.7187,28.8588],[-96.7161,28.8568],[-96.7147,28.8536],[-96.709,28.853],[-96.7043,28.8528],[-96.7029,28.8496],[-96.7051,28.8464],[-96.7104,28.8438],[-96.7136,28.8412],[-96.7168,28.839],[-96.717,28.8344],[-96.7156,28.8297],[-96.7174,28.8252],[-96.7196,28.8216],[-96.7206,28.8216],[-96.7217,28.8207],[-96.7223,28.8189],[-96.7203,28.8161],[-96.7121,28.8154],[-96.7074,28.8143],[-96.706,28.8097],[-96.7057,28.8037],[-96.7043,28.8005],[-96.7044,28.7986],[-96.706,28.7982],[-96.7055,28.7959],[-96.7035,28.7949],[-96.6983,28.7947],[-96.6969,28.7906],[-96.6982,28.7851],[-96.6995,28.7769],[-96.6945,28.7726],[-96.6882,28.7733],[-96.6868,28.7705],[-96.6873,28.7691],[-96.6885,28.7673],[-96.688,28.765],[-96.685,28.764],[-96.6798,28.7634],[-96.6761,28.7638],[-96.672,28.7645],[-96.67,28.7613],[-96.6719,28.754],[-96.6714,28.7512],[-96.6659,28.7474],[-96.6629,28.745],[-96.663,28.7418],[-96.6657,28.7395],[-96.6678,28.7373],[-96.6679,28.7346],[-96.6644,28.7317],[-96.664,28.7289],[-96.6627,28.7236],[-96.6631,28.7236],[-96.6633,28.7239],[-96.6636,28.7239],[-96.6639,28.7236],[-96.6639,28.7233],[-96.6642,28.7231],[-96.6642,28.7225],[-96.6644,28.7222],[-96.6639,28.7217],[-96.6639,28.7214],[-96.6628,28.7203],[-96.6628,28.7197],[-96.6622,28.7192],[-96.6619,28.7192],[-96.6616,28.7189],[-96.6617,28.7186],[-96.6615,28.7184],[-96.6613,28.7178],[-96.6607,28.7146],[-96.6608,28.7144],[-96.6614,28.7144],[-96.6619,28.715],[-96.6625,28.715],[-96.6628,28.7147],[-96.6628,28.7144],[-96.6625,28.7142],[-96.6625,28.7139],[-96.6622,28.7136],[-96.6614,28.7128],[-96.6611,28.7128],[-96.6606,28.7122],[-96.6603,28.7122],[-96.6601,28.7121],[-96.6587,28.7053],[-96.7193,28.67],[-96.8435,28.6378],[-96.8598,28.6324],[-96.93,28.5861],[-96.9235,28.5786],[-96.92,28.5748],[-96.9186,28.5706],[-96.915,28.5696],[-96.9114,28.57],[-96.9063,28.5662],[-96.9034,28.5606],[-96.9006,28.5527],[-96.8982,28.5475],[-96.9004,28.5439],[-96.9032,28.5389],[-96.9054,28.5335],[-96.904,28.5298],[-96.9007,28.5232],[-96.8967,28.5176],[-96.8969,28.5121],[-96.894,28.506],[-96.9013,28.5067],[-96.9054,28.5064],[-96.9107,28.5028],[-96.915,28.4997],[-96.915,28.4984],[-96.9105,28.495],[-96.9085,28.4913],[-96.9118,28.4882],[-96.9165,28.4865],[-96.9206,28.4866],[-96.9232,28.488],[-96.9283,28.4905],[-96.9312,28.4947],[-96.9368,28.4976],[-96.9445,28.5001],[-96.9511,28.5026],[-96.9598,28.5061],[-96.9691,28.5068],[-96.9779,28.5075],[-96.9825,28.5077],[-96.9856,28.51],[-96.9901,28.5138],[-96.9978,28.515],[-97.0031,28.5124],[-97.0041,28.5124],[-97.0062,28.5115],[-97.0093,28.5116],[-97.0119,28.5131],[-97.0134,28.515],[-97.0165,28.515],[-97.0191,28.5142],[-97.0202,28.5128],[-97.0227,28.5143],[-97.0232,28.5157],[-97.0251,28.5194],[-97.0275,28.5255],[-97.0294,28.531],[-97.0282,28.5347],[-97.0312,28.5371],[-97.0349,28.5362],[-97.037,28.5363],[-97.0401,28.535],[-97.0433,28.5337],[-97.0485,28.5334],[-97.0531,28.534],[-97.054,28.5363],[-97.0524,28.5381],[-97.0508,28.5403],[-97.0492,28.5426],[-97.0501,28.5463],[-97.051,28.5482],[-97.0546,28.5492],[-97.0578,28.5479],[-97.062,28.5457],[-97.0626,28.543],[-97.0611,28.5411],[-97.0632,28.5402],[-97.0668,28.5413],[-97.0694,28.5422],[-97.0704,28.5432],[-97.0719,28.5441],[-97.073,28.5428],[-97.0725,28.541],[-97.0742,28.5387],[-97.0778,28.5392],[-97.0793,28.5411],[-97.0798,28.5425],[-97.0823,28.5431],[-97.0839,28.5422],[-97.0835,28.5403],[-97.0819,28.5389],[-97.08,28.5366],[-97.08,28.5347],[-97.0816,28.5329],[-97.0842,28.533],[-97.0899,28.5336],[-97.094,28.5351],[-97.0965,28.5384],[-97.0979,28.5416],[-97.0993,28.5454],[-97.1018,28.5486],[-97.1059,28.5515],[-97.111,28.5516],[-97.1137,28.5508],[-97.1179,28.5486],[-97.1221,28.545],[-97.1269,28.5438],[-97.1315,28.543],[-97.1341,28.544],[-97.1351,28.5449],[-97.1356,28.5463],[-97.1376,28.5491],[-97.1396,28.5497],[-97.1417,28.5488],[-97.1449,28.548],[-97.1516,28.5468],[-97.1566,28.552],[-97.1601,28.5576],[-97.161,28.5622],[-97.1593,28.5663],[-97.1581,28.5704],[-97.1586,28.5708],[-97.1623,28.5686],[-97.1648,28.5719],[-97.1647,28.5747],[-97.164,28.5788],[-97.1624,28.582],[-97.1613,28.5819],[-97.1582,28.5814],[-97.1572,28.5823],[-97.1566,28.5832],[-97.1586,28.5851],[-97.1632,28.5884],[-97.1709,28.5914],[-97.1759,28.5943],[-97.1711,28.7085],[-97.1699,28.7292],[-97.1692,28.7324],[-97.1717,28.7352],[-97.1738,28.7357],[-97.1769,28.7358],[-97.1779,28.7372],[-97.1773,28.739],[-97.1767,28.7413],[-97.1741,28.7431],[-97.1714,28.7449],[-97.1693,28.7471],[-97.1681,28.7498],[-97.1675,28.7535],[-97.1672,28.7604],[-97.1659,28.7691],[-97.1647,28.775],[-97.163,28.7777],[-97.1634,28.7819],[-97.168,28.7843],[-97.1731,28.7858],[-97.1792,28.7905],[-97.1861,28.8022],[-97.1945,28.8148],[-97.1911,28.8225],[-97.1919,28.8308],[-97.1923,28.8359],[-97.1968,28.8383],[-97.2024,28.8426],[-97.2074,28.8487],[-97.2084,28.8519],[-97.215,28.8567],[-97.2196,28.8586],[-97.2324,28.8649],[-97.2412,28.8642],[-97.2423,28.8629],[-97.2419,28.861],[-97.2383,28.8582],[-97.2364,28.8545],[-97.239,28.8532],[-97.2447,28.8538],[-97.2503,28.8562],[-97.2571,28.8559],[-97.2592,28.8541],[-97.2599,28.8514],[-97.2594,28.8491],[-97.259,28.8459],[-97.2606,28.8436],[-97.2653,28.8433],[-97.2725,28.8453],[-97.2856,28.8447],[-97.2997,28.8414],[-97.3049,28.842],[-97.3068,28.8462],[-97.3052,28.8484],[-97.303,28.8525],[-97.3018,28.8557],[-97.3033,28.8585],[-97.3068,28.8622],[-96.9777,29.1037],[-96.9389,29.0627]]]},\"properties\":{\"name\":\"Victoria\",\"state\":\"TX\"}}]}","contact":"

Director, Oklahoma-Texas Water Science Center
U.S. Geological Survey
1505 Ferguson Lane
Austin, TX 78754–4501

","tableOfContents":"","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2020-03-26","noUsgsAuthors":false,"publicationDate":"2020-03-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Slattery, Richard N. 0000-0002-9141-9776 rnslatte@usgs.gov","orcid":"https://orcid.org/0000-0002-9141-9776","contributorId":2471,"corporation":false,"usgs":true,"family":"Slattery","given":"Richard","email":"rnslatte@usgs.gov","middleInitial":"N.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":782986,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ockerman, Darwin J. 0000-0003-1958-1688","orcid":"https://orcid.org/0000-0003-1958-1688","contributorId":222708,"corporation":false,"usgs":true,"family":"Ockerman","given":"Darwin","email":"","middleInitial":"J.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":782984,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bromley, Matthew 0000-0002-2169-3307","orcid":"https://orcid.org/0000-0002-2169-3307","contributorId":222709,"corporation":false,"usgs":false,"family":"Bromley","given":"Matthew","email":"","affiliations":[{"id":16138,"text":"Desert Research Institute","active":true,"usgs":false}],"preferred":false,"id":782985,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Huntington, Justin 0000-0002-2699-0108","orcid":"https://orcid.org/0000-0002-2699-0108","contributorId":178785,"corporation":false,"usgs":false,"family":"Huntington","given":"Justin","affiliations":[],"preferred":false,"id":782987,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Banta, John R. 0000-0002-2226-7270","orcid":"https://orcid.org/0000-0002-2226-7270","contributorId":222710,"corporation":false,"usgs":true,"family":"Banta","given":"John","email":"","middleInitial":"R.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":782988,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70209301,"text":"70209301 - 2020 - Short and long-term movement of mudflows of the Mississippi River Delta Front and their known and potential impacts on oil and gas infrastructure","interactions":[],"lastModifiedDate":"2020-04-01T08:57:13","indexId":"70209301","displayToPublicDate":"2020-03-26T08:51:55","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5011,"text":"Geological Society of London Special Publications","active":true,"publicationSubtype":{"id":10}},"title":"Short and long-term movement of mudflows of the Mississippi River Delta Front and their known and potential impacts on oil and gas infrastructure","docAbstract":"Mudflows on the Mississippi River Delta Front (MRDF) are recognized hazards to oil and gas infrastructure in the shallow (20 – 300 m water depth) Gulf of Mexico. Preconditioning of the seafloor for failure results from high sedimentation rates coupled with slope over-steepening, under-consolidation, and abundant biogenic gas production. Catastrophic failure of production platforms and pipelines due to seafloor displacement during infrequent large hurricanes such as Camille in 1969 and Ivan in 2004, point to cyclical loading of the seafloor by waves as a primary movement trigger. Due to data limitations, the role of smaller storms and background oceanographic processes in driving seafloor movement have remained largely unconstrained, but are thought to contribute to significant seafloor change. With the aid of new high-resolution multibeam mapping and seismic reflection profiling across sections of the MRDF, several moving features within the deforming delta-front environment are investigated and potential hazards to infrastructure installed and adjacent to the region are discussed. Via repeat mapping surveys of selected areas and records of changing shipwreck locations, we highlight significant seafloor displacement across annual to decadal timescales. For example, individual blocks mapped within mudflow gullies adjacent to Southwest Pass show downslope transport of more than 80 m in a single year, while the S.S. Virginia, a 153 m-long oil tanker sunk in 1942 has been relocated and found to have moved downslope more than 400 m in 14 years, without a major hurricane (> Category 2) passing through the region.","language":"English","publisher":"Geological Society of London","doi":"10.1144/SP500-2019-183","usgsCitation":"Chaytor, J., Baldwin, W.E., Bentley, S., Damour, M., Jones, D., Maloney, J., Miner, M., Obelcz, J., and Xu, K., 2020, Short and long-term movement of mudflows of the Mississippi River Delta Front and their known and potential impacts on oil and gas infrastructure: Geological Society of London Special Publications, 18 p., https://doi.org/10.1144/SP500-2019-183.","productDescription":"18 p.","ipdsId":"IP-112601","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":499873,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://digitalcommons.lsu.edu/geo_pubs/116","text":"External Repository"},{"id":373704,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","otherGeospatial":"Mississippi River Delta Front","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.923095703125,\n 28.777289039997623\n ],\n [\n -88.626708984375,\n 28.777289039997623\n ],\n [\n -88.626708984375,\n 30.021543509740027\n ],\n [\n -89.923095703125,\n 30.021543509740027\n ],\n [\n -89.923095703125,\n 28.777289039997623\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2020-03-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Chaytor, Jason 0000-0001-8135-8677 jchaytor@usgs.gov","orcid":"https://orcid.org/0000-0001-8135-8677","contributorId":140095,"corporation":false,"usgs":true,"family":"Chaytor","given":"Jason","email":"jchaytor@usgs.gov","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":785965,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baldwin, Wayne E. 0000-0001-5886-0917 wbaldwin@usgs.gov","orcid":"https://orcid.org/0000-0001-5886-0917","contributorId":1321,"corporation":false,"usgs":true,"family":"Baldwin","given":"Wayne","email":"wbaldwin@usgs.gov","middleInitial":"E.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":785966,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bentley, Samuel J.","contributorId":150402,"corporation":false,"usgs":false,"family":"Bentley","given":"Samuel J.","affiliations":[],"preferred":false,"id":785967,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Damour, Melanie","contributorId":223691,"corporation":false,"usgs":false,"family":"Damour","given":"Melanie","email":"","affiliations":[{"id":25296,"text":"BOEM","active":true,"usgs":false}],"preferred":false,"id":785968,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jones, Douglas","contributorId":223692,"corporation":false,"usgs":false,"family":"Jones","given":"Douglas","affiliations":[{"id":25296,"text":"BOEM","active":true,"usgs":false}],"preferred":false,"id":785969,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Maloney, Jillian","contributorId":223693,"corporation":false,"usgs":false,"family":"Maloney","given":"Jillian","affiliations":[{"id":6608,"text":"San Diego State University","active":true,"usgs":false}],"preferred":false,"id":785970,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Miner, Michael","contributorId":223694,"corporation":false,"usgs":false,"family":"Miner","given":"Michael","affiliations":[{"id":13499,"text":"The Water Institute of the Gulf","active":true,"usgs":false}],"preferred":false,"id":785971,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Obelcz, Jeff","contributorId":223695,"corporation":false,"usgs":false,"family":"Obelcz","given":"Jeff","email":"","affiliations":[{"id":40754,"text":"Naval Research Lab","active":true,"usgs":false}],"preferred":false,"id":785972,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Xu, Kehui","contributorId":223696,"corporation":false,"usgs":false,"family":"Xu","given":"Kehui","email":"","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":785973,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70208883,"text":"sim3452 - 2020 - Hydrogeologic units, contour maps, and cross sections of the Boone and Roubidoux aquifers, northeastern Oklahoma, 2020","interactions":[],"lastModifiedDate":"2022-04-22T20:11:15.769649","indexId":"sim3452","displayToPublicDate":"2020-03-26T05:42:06","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3452","displayTitle":"Hydrogeologic Units, Contour Maps, and Cross Sections of the Boone and Roubidoux Aquifers, Northeastern Oklahoma, 2020","title":"Hydrogeologic units, contour maps, and cross sections of the Boone and Roubidoux aquifers, northeastern Oklahoma, 2020","docAbstract":"

The Boone and Roubidoux aquifers (or their equivalents) are the main sources of fresh groundwater in northeastern Oklahoma. Projected total water demand of both surface water and groundwater in northeastern Oklahoma is expected to increase approximately 56 percent from 2010 to 2060. This report provides an overview of the hydrogeology of northeastern Oklahoma, with an emphasis on the hydrogeologic units composing and surrounding the Boone and Roubidoux aquifers (the Western Interior Plains confining unit, the Boone aquifer, the Ozark confining unit, and the Roubidoux aquifer). This report also provides the hydrogeologic framework for an ongoing (as of 2020) hydrologic investigation to aid the Oklahoma Water Resources Board in determining the maximum annual yields of the Boone and Roubidoux aquifers. As a first step of this ongoing hydrologic investigation, the U.S. Geological Survey, in cooperation with the Oklahoma Water Resources Board and U.S. Army Corps of Engineers, developed hydrogeologic-unit maps, contour maps for the bases of the four hydrogeologic units, and generalized cross sections to further characterize the hydrogeologic framework of the Boone and Roubidoux aquifers. The contour maps illustrate the altitudes of the bases of each hydrogeologic unit. The altitude of the base of the Western Interior Plains confining unit ranged from 1,316 to −6,437 feet (ft) relative to North American Vertical Datum of 1988. The altitude of the base of the Boone aquifer ranged from 1,327 to −6,681 ft. The altitude of the base of the Ozark confining unit ranged from 1,275 to −6,720 ft. The altitude of the base of the Roubidoux aquifer ranged from 403 to −9,488 ft.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3452","collaboration":"Prepared in cooperation with Oklahoma Water Resources Board and U.S. Army Corps of Engineers","usgsCitation":"Russell, C.A., and Stivers, J.W., 2020, Hydrogeologic units, contour maps, and cross sections of the Boone and Roubidoux aquifers, northeastern Oklahoma, 2020: U.S. Geological Survey Scientific Investigations Map 3452, 2 sheets, https://dx.doi.org/10.3133/sim3452.","productDescription":"2 Sheets: 36.00 x 45.00 inches; Data Releases","onlineOnly":"Y","ipdsId":"IP-109561","costCenters":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"links":[{"id":399522,"rank":5,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_109802.htm"},{"id":373495,"rank":3,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3452/sim3452_sheet02.pdf","text":"Sheet 2","size":"17.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3452 Sheet 2"},{"id":373494,"rank":2,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3452/sim3452_sheet01.pdf","text":"Sheet 1","size":"8.46 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3452 Sheet 1"},{"id":373493,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3452/coverthb.jpg"},{"id":373496,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P967BVQL","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Data used to describe hydrogeologic units and create contour maps and cross sections of the Boone and Roubidoux Aquifers, northeastern Oklahoma"}],"scale":"583000","country":"United States","state":"Oklahoma","otherGeospatial":"Boone Aquifer, Roubidoux Aquifer","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -95.85,\n 35.2342\n ],\n [\n -93.9256,\n 35.2342\n ],\n [\n -93.9256,\n 37.3669\n ],\n [\n -95.85,\n 37.3669\n ],\n [\n -95.85,\n 35.2342\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Oklahoma-Texas Water Science Center
U.S. Geological Survey
1505 Ferguson Lane
Austin, TX 78754–4501

","tableOfContents":"","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2020-03-26","noUsgsAuthors":false,"publicationDate":"2020-03-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Russell, Cory A. 0000-0001-6358-1605","orcid":"https://orcid.org/0000-0001-6358-1605","contributorId":223018,"corporation":false,"usgs":true,"family":"Russell","given":"Cory","email":"","middleInitial":"A.","affiliations":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"preferred":true,"id":783832,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stivers, Jacob W.","contributorId":223563,"corporation":false,"usgs":false,"family":"Stivers","given":"Jacob","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":785480,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70211219,"text":"70211219 - 2020 - Identifying areas of degrading and improving groundwater-quality conditions in the State of California, USA, 1974-2014","interactions":[],"lastModifiedDate":"2020-07-17T20:48:59.552524","indexId":"70211219","displayToPublicDate":"2020-03-25T15:45:22","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5977,"text":"Environmental Monitoring and Assessment (https://www.springer.com/journal/10661)","active":true,"publicationSubtype":{"id":10}},"title":"Identifying areas of degrading and improving groundwater-quality conditions in the State of California, USA, 1974-2014","docAbstract":"

Areas of improving and degrading groundwater-quality conditions in the State of California were assessed using spatial weighting of a new metric for scoring wells based on constituent concentrations and the direction and magnitude of a trend slope (Sen). Individual well scores were aggregated across 2135 equal-area grid cells covering the entire groundwater resource used for public supply in the state. Spatial weighting allows results to be aggregated locally (well or grid cell), regionally (groundwater basin), provincially, or statewide. Results differentiate degrading (increasing concentration trends) areas with low to moderate concentrations (unimpaired) from degrading areas with moderate to high concentrations (impaired). Results also differentiate improving areas (decreasing concentration trends) in the same manner. Multi-year to decadal groundwater-quality trends were computed from periodic, inorganic water-quality data for 38 constituents collected between 1974 and 2014 for compliance monitoring of nearly 13,000 public-supply wells (PSWs) in the State of California. Mann-Kendall (MK) rank correlations and Sen’s slope estimator were used to detect statistically significant trends for the entire period of recorded data (long-term trend), for the period since 2000 (recent trend), for different pumping seasons (seasonal trend), and for reversals of trends. Statewide, the most frequently detected trends since 2000 were for nitrate (36%), gross alpha/uranium (10%), arsenic (14%), total dissolved solids (TDS) (23%), and the major ions that contribute to TDS (19–28%). The Transverse and Selected Peninsular Ranges (TSPR) and the San Joaquin Valley (SJV) hydrogeologic provinces had the largest percentage of areas with moderate to high nitrate concentrations and groundwater quality trends. Improving nitrate concentrations in parts of the TSPR is associated with long-term managed aquifer recharge that has replaced historical, agriculturally affected groundwater with low-nitrate recharge in parts of the TSPR. This example suggests that application of dilute, excess surface water to agricultural fields during the winter could improve groundwater-quality in the SJV over the long term.

","language":"English","publisher":"Springer","doi":"10.1007/s10661-020-8180-y","usgsCitation":"Jurgens, B., Fram, M.S., Rutledge, J., and Bennett, G.L., 2020, Identifying areas of degrading and improving groundwater-quality conditions in the State of California, USA, 1974-2014: Environmental Monitoring and Assessment (https://www.springer.com/journal/10661), v. 192, 250, 23 p., https://doi.org/10.1007/s10661-020-8180-y.","productDescription":"250, 23 p.","ipdsId":"IP-083518","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":457269,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10661-020-8180-y","text":"Publisher Index Page"},{"id":376498,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-122.421439,37.869969],[-122.41847,37.852721],[-122.434403,37.852434],[-122.446316,37.861046],[-122.430958,37.872242],[-122.421439,37.869969]]],[[[-122.3785,37.826505],[-122.377879,37.830648],[-122.369941,37.832137],[-122.358779,37.814278],[-122.362661,37.807577],[-122.372422,37.811301],[-122.3785,37.826505]]],[[[-120.248484,33.999329],[-120.230001,34.010136],[-120.19578,34.004284],[-120.167306,34.008219],[-120.147647,34.024831],[-120.140362,34.025974],[-120.115058,34.019866],[-120.090182,34.019806],[-120.073609,34.024477],[-120.057637,34.03734],[-120.043259,34.035806],[-120.050382,34.013331],[-120.046575,34.000002],[-120.011123,33.979894],[-119.978876,33.983081],[-119.979913,33.969623],[-119.97026,33.944359],[-120.017715,33.936366],[-120.048611,33.915775],[-120.098601,33.907853],[-120.121817,33.895712],[-120.168974,33.91909],[-120.224461,33.989059],[-120.248484,33.999329]]],[[[-119.789798,34.05726],[-119.755521,34.056716],[-119.712576,34.043265],[-119.686507,34.019805],[-119.637742,34.013178],[-119.612226,34.021256],[-119.604287,34.031561],[-119.608798,34.035245],[-119.59324,34.049625],[-119.5667,34.053452],[-119.52064,34.034262],[-119.542449,34.021082],[-119.547072,34.005469],[-119.560464,33.99553],[-119.575636,33.996009],[-119.596877,33.988611],[-119.662825,33.985889],[-119.721206,33.959583],[-119.742966,33.963877],[-119.758141,33.959212],[-119.842748,33.97034],[-119.873358,33.980375],[-119.884896,34.008814],[-119.876329,34.032087],[-119.916216,34.058351],[-119.923337,34.069361],[-119.919155,34.07728],[-119.912857,34.077508],[-119.857304,34.071298],[-119.825865,34.059794],[-119.818742,34.052997],[-119.789798,34.05726]]],[[[-120.46258,34.042627],[-120.440248,34.036918],[-120.415287,34.05496],[-120.403613,34.050442],[-120.390906,34.051994],[-120.368813,34.06778],[-120.370176,34.074907],[-120.362251,34.073056],[-120.354982,34.059256],[-120.36029,34.05582],[-120.358608,34.050235],[-120.346946,34.046576],[-120.331161,34.049097],[-120.302122,34.023574],[-120.317052,34.018837],[-120.347706,34.020114],[-120.35793,34.015029],[-120.409368,34.032198],[-120.427408,34.025425],[-120.454134,34.028081],[-120.465329,34.038448],[-120.46258,34.042627]]],[[[-118.524531,32.895488],[-118.535823,32.90628],[-118.551134,32.945155],[-118.573522,32.969183],[-118.586928,33.008281],[-118.596037,33.015357],[-118.606559,33.01469],[-118.605534,33.030999],[-118.594033,33.035951],[-118.57516,33.033961],[-118.569013,33.029151],[-118.559171,33.006291],[-118.540069,32.980933],[-118.496811,32.933847],[-118.369984,32.839273],[-118.353504,32.821962],[-118.356541,32.817311],[-118.379968,32.824545],[-118.394565,32.823978],[-118.425634,32.800595],[-118.44492,32.820593],[-118.496298,32.851572],[-118.507193,32.876264],[-118.524531,32.895488]]],[[[-118.500212,33.449592],[-118.477646,33.448392],[-118.445812,33.428907],[-118.423576,33.427258],[-118.382037,33.409883],[-118.370323,33.409285],[-118.365094,33.388374],[-118.310213,33.335795],[-118.303174,33.320264],[-118.305084,33.310323],[-118.325244,33.299075],[-118.374768,33.320065],[-118.440047,33.318638],[-118.465368,33.326056],[-118.48877,33.356649],[-118.478465,33.38632],[-118.48875,33.419826],[-118.515914,33.422417],[-118.52323,33.430733],[-118.53738,33.434608],[-118.563442,33.434381],[-118.60403,33.47654],[-118.54453,33.474119],[-118.500212,33.449592]]],[[[-119.543842,33.280329],[-119.528141,33.284929],[-119.465717,33.259239],[-119.429559,33.228167],[-119.444269,33.21919],[-119.476029,33.21552],[-119.545872,33.233406],[-119.564971,33.24744],[-119.578942,33.278628],[-119.562042,33.271129],[-119.543842,33.280329]]],[[[-122.289533,42.007764],[-121.035195,41.993323],[-120.001058,41.995139],[-119.995926,40.499901],[-120.005743,39.228664],[-120.001014,38.999574],[-119.333423,38.538328],[-118.714312,38.102185],[-117.875927,37.497267],[-117.244917,37.030244],[-116.488233,36.459097],[-115.852908,35.96966],[-115.102881,35.379371],[-114.633013,35.002085],[-114.629015,34.986148],[-114.634953,34.958918],[-114.629753,34.938684],[-114.635176,34.875003],[-114.623939,34.859738],[-114.586842,34.835672],[-114.57101,34.794294],[-114.552682,34.766871],[-114.516619,34.736745],[-114.470477,34.711368],[-114.452628,34.668546],[-114.451753,34.654321],[-114.441465,34.64253],[-114.438739,34.621455],[-114.424202,34.610453],[-114.429747,34.591734],[-114.422382,34.580711],[-114.405228,34.569637],[-114.380838,34.529724],[-114.378124,34.507288],[-114.386699,34.457911],[-114.375789,34.447798],[-114.335372,34.450038],[-114.32613,34.437251],[-114.294836,34.421389],[-114.286802,34.40534],[-114.264317,34.401329],[-114.226107,34.365916],[-114.199482,34.361373],[-114.176909,34.349306],[-114.157206,34.317862],[-114.138282,34.30323],[-114.134768,34.268965],[-114.139055,34.259538],[-114.159697,34.258242],[-114.223384,34.205136],[-114.229715,34.186928],[-114.254141,34.173831],[-114.287294,34.170529],[-114.320777,34.138635],[-114.353031,34.133121],[-114.366521,34.118575],[-114.390565,34.110084],[-114.411681,34.110031],[-114.43338,34.088413],[-114.43934,34.057893],[-114.434949,34.037784],[-114.438266,34.022609],[-114.46283,34.008421],[-114.46117,33.994687],[-114.499883,33.961789],[-114.522002,33.955623],[-114.535478,33.934651],[-114.533679,33.926072],[-114.508558,33.906098],[-114.518555,33.889847],[-114.50434,33.876882],[-114.503017,33.867998],[-114.514673,33.858638],[-114.52453,33.858477],[-114.529597,33.848063],[-114.520465,33.827778],[-114.527161,33.816191],[-114.504863,33.760465],[-114.504483,33.750998],[-114.512348,33.734214],[-114.496565,33.719155],[-114.494197,33.707922],[-114.495719,33.698454],[-114.523959,33.685879],[-114.531523,33.675108],[-114.525201,33.661583],[-114.530244,33.65014],[-114.526947,33.637534],[-114.529662,33.622794],[-114.524813,33.611351],[-114.540617,33.591412],[-114.5403,33.580615],[-114.524391,33.553683],[-114.558898,33.531819],[-114.560552,33.518272],[-114.569533,33.509219],[-114.591554,33.499443],[-114.622918,33.456561],[-114.627125,33.433554],[-114.635183,33.422726],[-114.652828,33.412922],[-114.687953,33.417944],[-114.701732,33.408388],[-114.725535,33.404056],[-114.708408,33.384147],[-114.698035,33.352442],[-114.707962,33.323421],[-114.731223,33.302434],[-114.723259,33.288079],[-114.684363,33.276025],[-114.672401,33.26047],[-114.689421,33.24525],[-114.674479,33.225504],[-114.678749,33.203448],[-114.675831,33.18152],[-114.679359,33.159519],[-114.703682,33.113769],[-114.706488,33.08816],[-114.68902,33.084036],[-114.686991,33.070969],[-114.674296,33.057171],[-114.673659,33.041897],[-114.662317,33.032671],[-114.64598,33.048903],[-114.618788,33.027202],[-114.589778,33.026228],[-114.575161,33.036542],[-114.52013,33.029984],[-114.502871,33.011153],[-114.492938,32.971781],[-114.476156,32.975168],[-114.467664,32.966861],[-114.469113,32.952673],[-114.48074,32.937027],[-114.47664,32.923628],[-114.462929,32.907944],[-114.468971,32.845155],[-114.494116,32.823288],[-114.510217,32.816417],[-114.530755,32.793485],[-114.532432,32.776923],[-114.526856,32.757094],[-114.539093,32.756949],[-114.539224,32.749812],[-114.564447,32.749554],[-114.564508,32.742298],[-114.581736,32.742321],[-114.581784,32.734946],[-114.612697,32.734516],[-114.618373,32.728245],[-114.688779,32.737675],[-114.701918,32.745548],[-114.719633,32.718763],[-116.04662,32.623353],[-117.124862,32.534156],[-117.136664,32.618754],[-117.168866,32.671952],[-117.196767,32.688851],[-117.213068,32.687751],[-117.236239,32.671353],[-117.246069,32.669352],[-117.25757,32.72605],[-117.25257,32.752949],[-117.25497,32.786948],[-117.26107,32.803148],[-117.280971,32.822247],[-117.28217,32.839547],[-117.27387,32.851447],[-117.26497,32.848947],[-117.25617,32.859447],[-117.25167,32.874346],[-117.25447,32.900146],[-117.28077,33.012343],[-117.315278,33.093504],[-117.328359,33.121842],[-117.362572,33.168437],[-117.469794,33.296417],[-117.50565,33.334063],[-117.547693,33.365491],[-117.59588,33.386629],[-117.607905,33.406317],[-117.645582,33.440728],[-117.684584,33.461927],[-117.691984,33.456627],[-117.715349,33.460556],[-117.726486,33.483427],[-117.784888,33.541525],[-117.814188,33.552224],[-117.840289,33.573523],[-117.87679,33.592322],[-117.927091,33.605521],[-117.940591,33.620021],[-118.000593,33.654319],[-118.029694,33.676418],[-118.088896,33.729817],[-118.132698,33.753217],[-118.180831,33.763072],[-118.187701,33.749218],[-118.181367,33.717367],[-118.207476,33.716905],[-118.258687,33.703741],[-118.317205,33.712818],[-118.360505,33.736817],[-118.385006,33.741417],[-118.396606,33.735917],[-118.411211,33.741985],[-118.428407,33.774715],[-118.405007,33.800215],[-118.394376,33.804289],[-118.392107,33.840915],[-118.460611,33.969111],[-118.482729,33.995912],[-118.519514,34.027509],[-118.543115,34.038508],[-118.569235,34.04164],[-118.609652,34.036424],[-118.668358,34.038887],[-118.706215,34.029383],[-118.744952,34.032103],[-118.783433,34.021543],[-118.805114,34.001239],[-118.854653,34.034215],[-118.928048,34.045847],[-118.938081,34.043383],[-119.004644,34.066231],[-119.037494,34.083111],[-119.088536,34.09831],[-119.109784,34.094566],[-119.130169,34.100102],[-119.18864,34.139005],[-119.216441,34.146105],[-119.257043,34.213304],[-119.278644,34.266902],[-119.290945,34.274902],[-119.313034,34.275689],[-119.337475,34.290576],[-119.370356,34.319486],[-119.388249,34.317398],[-119.42777,34.353016],[-119.461036,34.374064],[-119.536957,34.395495],[-119.559459,34.413395],[-119.616862,34.420995],[-119.638864,34.415696],[-119.671866,34.416096],[-119.688167,34.412497],[-119.684666,34.408297],[-119.709067,34.395397],[-119.729369,34.395897],[-119.794771,34.417597],[-119.835771,34.415796],[-119.853771,34.407996],[-119.873971,34.408795],[-119.925227,34.433931],[-119.956433,34.435288],[-120.008077,34.460447],[-120.038828,34.463434],[-120.088591,34.460208],[-120.141165,34.473405],[-120.25777,34.467451],[-120.295051,34.470623],[-120.341369,34.458789],[-120.471376,34.447846],[-120.47661,34.475131],[-120.511421,34.522953],[-120.581293,34.556959],[-120.622575,34.554017],[-120.637805,34.56622],[-120.645739,34.581035],[-120.640244,34.604406],[-120.60197,34.692095],[-120.60045,34.70464],[-120.614852,34.730709],[-120.62632,34.738072],[-120.637415,34.755895],[-120.616296,34.816308],[-120.610266,34.85818],[-120.616325,34.866739],[-120.639283,34.880413],[-120.647328,34.901133],[-120.670835,34.904115],[-120.63999,35.002963],[-120.629931,35.061515],[-120.630957,35.101941],[-120.644311,35.139616],[-120.651134,35.147768],[-120.662475,35.153357],[-120.675074,35.153061],[-120.698906,35.171192],[-120.714185,35.175998],[-120.74887,35.177795],[-120.754823,35.174701],[-120.756086,35.160459],[-120.760492,35.15971],[-120.778998,35.168897],[-120.786076,35.177666],[-120.856047,35.206487],[-120.89679,35.247877],[-120.862684,35.346776],[-120.866099,35.393045],[-120.884757,35.430196],[-120.907937,35.449069],[-120.946546,35.446715],[-120.969436,35.460197],[-121.003359,35.46071],[-121.101595,35.548814],[-121.126027,35.593058],[-121.143561,35.606046],[-121.166712,35.635399],[-121.251034,35.656641],[-121.284973,35.674109],[-121.289794,35.689428],[-121.314632,35.71331],[-121.315786,35.75252],[-121.332449,35.783106],[-121.388053,35.823483],[-121.413146,35.855316],[-121.439584,35.86695],[-121.462264,35.885618],[-121.461227,35.896906],[-121.472435,35.91989],[-121.4862,35.970348],[-121.503112,36.000299],[-121.531876,36.014368],[-121.574602,36.025156],[-121.590395,36.050363],[-121.592853,36.065062],[-121.606845,36.072065],[-121.618672,36.087767],[-121.629634,36.114452],[-121.680145,36.165818],[-121.717176,36.195146],[-121.779851,36.227407],[-121.797059,36.234211],[-121.813734,36.234235],[-121.826425,36.24186],[-121.851967,36.277831],[-121.874797,36.289064],[-121.888491,36.30281],[-121.894714,36.317806],[-121.892917,36.340428],[-121.905446,36.358269],[-121.903195,36.393603],[-121.914378,36.404344],[-121.91474,36.42589],[-121.9416,36.485602],[-121.938763,36.506423],[-121.944666,36.521861],[-121.925937,36.525173],[-121.932508,36.559935],[-121.942533,36.566435],[-121.957335,36.564482],[-121.978592,36.580488],[-121.970427,36.582754],[-121.941666,36.618059],[-121.93643,36.636746],[-121.923866,36.634559],[-121.890164,36.609259],[-121.889064,36.601759],[-121.860604,36.611136],[-121.831995,36.644856],[-121.814462,36.682858],[-121.807062,36.714157],[-121.805643,36.750239],[-121.788278,36.803994],[-121.809363,36.848654],[-121.862266,36.931552],[-121.894667,36.961851],[-121.930069,36.97815],[-121.95167,36.97145],[-121.972771,36.954151],[-122.012373,36.96455],[-122.023373,36.96215],[-122.027174,36.95115],[-122.050122,36.948523],[-122.105976,36.955951],[-122.155078,36.98085],[-122.20618,37.013949],[-122.252181,37.059448],[-122.284882,37.101747],[-122.306139,37.116383],[-122.337071,37.117382],[-122.337833,37.135936],[-122.359791,37.155574],[-122.367085,37.172817],[-122.390599,37.182988],[-122.405073,37.195791],[-122.407181,37.219465],[-122.419113,37.24147],[-122.411686,37.265844],[-122.40085,37.359225],[-122.423286,37.392542],[-122.443687,37.435941],[-122.452087,37.48054],[-122.472388,37.50054],[-122.493789,37.492341],[-122.499289,37.495341],[-122.516689,37.52134],[-122.519533,37.537302],[-122.513688,37.552239],[-122.517187,37.590637],[-122.501386,37.599637],[-122.494085,37.644035],[-122.496784,37.686433],[-122.514483,37.780829],[-122.50531,37.788312],[-122.485783,37.790629],[-122.478083,37.810828],[-122.463793,37.804653],[-122.407452,37.811441],[-122.398139,37.80563],[-122.385323,37.790724],[-122.375854,37.734979],[-122.356784,37.729505],[-122.361749,37.71501],[-122.370411,37.717572],[-122.391374,37.708331],[-122.387626,37.67906],[-122.374291,37.662206],[-122.3756,37.652389],[-122.387381,37.648462],[-122.386072,37.637662],[-122.35531,37.615736],[-122.358583,37.611155],[-122.373309,37.613773],[-122.378545,37.605592],[-122.360219,37.592501],[-122.317676,37.590865],[-122.305895,37.575484],[-122.262698,37.572866],[-122.214264,37.538505],[-122.196593,37.537196],[-122.194957,37.522469],[-122.168449,37.504143],[-122.155686,37.501198],[-122.140142,37.507907],[-122.127706,37.500053],[-122.111344,37.50758],[-122.111998,37.528851],[-122.147014,37.588411],[-122.145378,37.600846],[-122.152905,37.640771],[-122.163049,37.667933],[-122.246826,37.72193],[-122.257953,37.739601],[-122.257134,37.745001],[-122.242638,37.753744],[-122.253753,37.761218],[-122.293996,37.770416],[-122.330963,37.786035],[-122.33555,37.799538],[-122.333711,37.809797],[-122.323567,37.823214],[-122.303931,37.830087],[-122.301313,37.847758],[-122.310477,37.873938],[-122.309986,37.892755],[-122.32373,37.905845],[-122.33453,37.908791],[-122.35711,37.908791],[-122.367582,37.903882],[-122.385908,37.908136],[-122.39049,37.922535],[-122.413725,37.937262],[-122.430087,37.963115],[-122.415361,37.963115],[-122.399832,37.956009],[-122.367582,37.978168],[-122.361905,37.989991],[-122.367909,38.01253],[-122.340093,38.003694],[-122.321112,38.012857],[-122.300823,38.010893],[-122.283478,38.022674],[-122.262861,38.0446],[-122.273006,38.07438],[-122.314567,38.115287],[-122.366273,38.141467],[-122.39638,38.149976],[-122.403514,38.150624],[-122.409798,38.136231],[-122.439577,38.116923],[-122.454958,38.118887],[-122.489974,38.112014],[-122.483757,38.071762],[-122.499465,38.032165],[-122.497828,38.019402],[-122.481466,38.007621],[-122.462812,38.003367],[-122.452995,37.996167],[-122.448413,37.984713],[-122.456595,37.978823],[-122.471975,37.981768],[-122.488665,37.966714],[-122.487684,37.948716],[-122.479175,37.941516],[-122.48572,37.937589],[-122.499465,37.939225],[-122.503064,37.928753],[-122.478193,37.918608],[-122.471975,37.910427],[-122.472303,37.902573],[-122.458558,37.894064],[-122.448413,37.89341],[-122.438268,37.880974],[-122.45005,37.871157],[-122.462158,37.868866],[-122.480811,37.873448],[-122.479151,37.825428],[-122.505383,37.822128],[-122.548986,37.836227],[-122.561487,37.851827],[-122.584289,37.859227],[-122.60129,37.875126],[-122.656519,37.904519],[-122.682171,37.90645],[-122.70264,37.89382],[-122.727297,37.904626],[-122.736898,37.925825],[-122.766138,37.938004],[-122.783244,37.951334],[-122.797405,37.976657],[-122.821383,37.996735],[-122.856573,38.016717],[-122.882114,38.025273],[-122.939711,38.031908],[-122.956811,38.02872],[-122.981776,38.009119],[-122.97439,37.992429],[-123.024066,37.994878],[-123.011533,38.003438],[-122.99242,38.041758],[-122.960889,38.112962],[-122.949074,38.15406],[-122.953629,38.17567],[-122.965408,38.187113],[-122.968112,38.202428],[-122.993959,38.237602],[-122.968569,38.242879],[-122.967203,38.250691],[-122.977082,38.267902],[-122.986319,38.273164],[-123.002911,38.295708],[-123.024333,38.310573],[-123.038742,38.313576],[-123.051061,38.310693],[-123.053504,38.299385],[-123.063671,38.302178],[-123.074684,38.322574],[-123.068437,38.33521],[-123.068265,38.359865],[-123.128825,38.450418],[-123.202277,38.494314],[-123.249797,38.511045],[-123.287156,38.540223],[-123.331899,38.565542],[-123.343338,38.590008],[-123.371876,38.607235],[-123.398166,38.647044],[-123.441774,38.699744],[-123.461291,38.717001],[-123.514784,38.741966],[-123.541837,38.776764],[-123.579856,38.802835],[-123.58638,38.802857],[-123.605317,38.822765],[-123.647387,38.845472],[-123.659846,38.872529],[-123.71054,38.91323],[-123.725367,38.917438],[-123.726315,38.936367],[-123.738886,38.95412],[-123.729053,38.956667],[-123.711149,38.977316],[-123.6969,39.004401],[-123.690095,39.031157],[-123.693969,39.057363],[-123.713392,39.108422],[-123.721505,39.125327],[-123.737913,39.143442],[-123.742221,39.164885],[-123.765891,39.193657],[-123.774998,39.212083],[-123.777368,39.237214],[-123.787893,39.264327],[-123.803848,39.278771],[-123.803081,39.291747],[-123.811387,39.312825],[-123.808772,39.324368],[-123.822085,39.343857],[-123.826306,39.36871],[-123.81469,39.446538],[-123.766475,39.552803],[-123.787417,39.604552],[-123.782322,39.621486],[-123.792659,39.684122],[-123.808208,39.710715],[-123.829545,39.723071],[-123.838089,39.752409],[-123.839797,39.795637],[-123.851714,39.832041],[-123.907664,39.863028],[-123.930047,39.909697],[-123.954952,39.922373],[-123.980031,39.962458],[-124.035904,40.013319],[-124.056408,40.024305],[-124.068908,40.021307],[-124.079983,40.029773],[-124.080709,40.06611],[-124.110549,40.103765],[-124.187874,40.130542],[-124.214895,40.160902],[-124.296497,40.208816],[-124.320912,40.226617],[-124.327691,40.23737],[-124.34307,40.243979],[-124.363414,40.260974],[-124.363634,40.276212],[-124.347853,40.314634],[-124.362796,40.350046],[-124.365357,40.374855],[-124.373599,40.392923],[-124.391496,40.407047],[-124.409591,40.438076],[-124.38494,40.48982],[-124.383224,40.499852],[-124.387023,40.504954],[-124.382816,40.519],[-124.329404,40.61643],[-124.158322,40.876069],[-124.137066,40.925732],[-124.118147,40.989263],[-124.112165,41.028173],[-124.125448,41.048504],[-124.138217,41.054342],[-124.153622,41.05355],[-124.154513,41.087159],[-124.160556,41.099011],[-124.159065,41.121957],[-124.165414,41.129822],[-124.158539,41.143021],[-124.149674,41.140845],[-124.1438,41.144686],[-124.106986,41.229678],[-124.072294,41.374844],[-124.063076,41.439579],[-124.066057,41.470258],[-124.081427,41.511228],[-124.081987,41.547761],[-124.092404,41.553615],[-124.101123,41.569192],[-124.097385,41.585251],[-124.100961,41.602499],[-124.114413,41.616768],[-124.120225,41.640354],[-124.135552,41.657307],[-124.147412,41.717955],[-124.164716,41.740126],[-124.17739,41.745756],[-124.194953,41.736778],[-124.23972,41.7708],[-124.248704,41.771459],[-124.255994,41.783014],[-124.245027,41.7923],[-124.230678,41.818681],[-124.208439,41.888192],[-124.203402,41.940964],[-124.204948,41.983441],[-124.211605,41.99846],[-123.656998,41.995137],[-123.624554,41.999837],[-123.347562,41.999108],[-123.145959,42.009247],[-123.045254,42.003049],[-122.893961,42.002605],[-122.289533,42.007764]]]]},\"properties\":{\"name\":\"California\",\"nation\":\"USA \"}}]}","volume":"192","noUsgsAuthors":false,"publicationDate":"2020-03-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Jurgens, Bryant C. 0000-0002-1572-113X","orcid":"https://orcid.org/0000-0002-1572-113X","contributorId":203409,"corporation":false,"usgs":true,"family":"Jurgens","given":"Bryant","middleInitial":"C.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":793246,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fram, Miranda S. 0000-0002-6337-059X mfram@usgs.gov","orcid":"https://orcid.org/0000-0002-6337-059X","contributorId":1156,"corporation":false,"usgs":true,"family":"Fram","given":"Miranda","email":"mfram@usgs.gov","middleInitial":"S.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":793247,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rutledge, Jeffrey 0000-0001-8419-548X","orcid":"https://orcid.org/0000-0001-8419-548X","contributorId":229463,"corporation":false,"usgs":false,"family":"Rutledge","given":"Jeffrey","email":"","affiliations":[{"id":41654,"text":"CAWSC summer intern","active":true,"usgs":false}],"preferred":false,"id":793248,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bennett, George L. V V 0000-0002-6239-1604 georbenn@usgs.gov","orcid":"https://orcid.org/0000-0002-6239-1604","contributorId":1373,"corporation":false,"usgs":true,"family":"Bennett","given":"George","suffix":"V","email":"georbenn@usgs.gov","middleInitial":"L. V","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":793249,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70208609,"text":"sir20205016 - 2020 - Trends in streamflow and precipitation for selected sites in the Elkhorn River Basin and in streamflow in the Salt Creek and Platte River Basins, Nebraska, 1961–2011","interactions":[],"lastModifiedDate":"2022-04-25T21:54:48.620746","indexId":"sir20205016","displayToPublicDate":"2020-03-25T10:42:05","publicationYear":"2020","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":"2020-5016","displayTitle":"Trends in Streamflow and Precipitation for Selected Sites in the Elkhorn River Basin and in Streamflow in the Salt Creek and Platte River Basins, Nebraska, 1961–2011","title":"Trends in streamflow and precipitation for selected sites in the Elkhorn River Basin and in streamflow in the Salt Creek and Platte River Basins, Nebraska, 1961–2011","docAbstract":"

To better understand the streamflow trends at the streamgages in the Elkhorn River Basin in Nebraska, the U.S. Geological Survey (USGS) in cooperation with the Lower Elkhorn Natural Resources District further investigated streamflow trends at the eight streamgages on the Elkhorn River, Salt Creek, and the Lower Platte River that indicated a positive trend in streamflow characteristics and analyzed precipitation trends in the four basins upstream from the Elkhorn River Basin streamgages. An analysis of four streamgages in the Elkhorn River Basin, one streamgage in Salt Creek Basin, and three streamgages in the Lower Platte River Basin that had previously indicated trends in selected annual mean streamflow, annual low flows, fall low flows, and growing season monthly mean streamflows metrics were analyzed for the period from 1961 to 2011. A streamgage in the Upper Elkhorn River Basin (Elkhorn River at Neligh, Nebraska [USGS station 06798500; maintained by USGS from water years 1930 to 1993, maintained by Nebraska Department of Natural Resources from water years 1994 to 2019]) had significant positive trends in annual mean streamflow and insignificant trends for other streamflow metrics whereas the lower three sites (Logan Creek near Uehling, Nebr. [USGS station 06799500]; Maple Creek at Nickerson, Nebr. [USGS station 06800000]; and Elkhorn River at Waterloo, Nebr. [USGS station 06800500]) had significant positive trends for annual mean streamflow, for all durations of the annual low-flow periods (1-day, 2-day, 3-day, 7-day, 14-day, 30-day, 60-day, 90-day, and 183-day periods), for all durations of the low-flow periods in October–November (1-day, 2-day, 3-day, 7-day, 14-day, 30-day, and 60-day periods), and for monthly mean streamflow for July, August, and September. Upstream from the confluence of the Elkhorn River and the Platte River, the Platte River at North Bend, Nebr. (USGS station 06796000), streamgage indicated insignificant trends for most streamflow metrics. A streamgage in the Salt Creek Basin (Salt Creek at Greenwood, Nebr. [USGS station 06803555]) also indicated positive trends in some low-flows metrics. Streamflow at the Platte River at Louisville, Nebr. (USGS station 06805500), streamgage, downstream from the Salt Creek and Elkhorn River inflows, indicated significant positive trends in most annual and all October–November low flows and August mean streamflow but insignificant trends in annual mean streamflow and June, July, and September monthly mean streamflows. Streamflow records for the Platte River near Duncan, Nebr. (USGS station 06774000), streamgage only indicated a significant trend in the August mean streamflow; no other metrics had significant trends at the streamgage.

The trend analyses are sensitive to the period that is analyzed for trends. Sites with the most significant trends for low-flow metrics for the period 1961–2011 have fewer significant trends for low-flow metrics for the period after 1980–2011.

The results indicate that positive trends in low flows at the Salt Creek and Elkhorn River streamgages may be contributing to positive trends in low flows for the Platte River at Louisville, Nebr., streamgage. Likewise, streamflow in the Salt Creek and Elkhorn River Basins may be contributing to the positive trend in August mean streamflow for the Platte River at Louisville, Nebr., streamgage, three lower Elkhorn River streamgages, and the Salt Creek streamgage.

Precipitation was also examined as a primary cause for streamflow trends in the Elkhorn River Basin. For the four streamgages in the Elkhorn River Basin, relations between precipitation and streamflow were examined on an annual and monthly basis using linear regression. In general, the goodness of fit for the linear relations was poor with coefficient of determination values of less than or equal to 0.10 for four of the eight relations. Only one significant increase in annual precipitation upstream from the four streamgages and the frequent detection of significant increases in streamflow after removing the effect of precipitation indicate that other factors besides precipitation may have played a role in the significant positive trends in low-flow periods in the lower Elkhorn River and its tributaries.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205016","collaboration":"Prepared in cooperation with the Lower Elkhorn Natural Resources District","usgsCitation":"Dietsch, B.J., and Strauch, K.R., 2020, Trends in streamflow and precipitation for selected sites in the Elkhorn River Basin and in streamflow in the Salt Creek and Platte River Basins, Nebraska, 1961–2011: U.S. Geological Survey Scientific Investigations Report 2020–5016, 20 p., https://doi.org/10.3133/sir20205016.","productDescription":"iv, 20 p.","numberOfPages":"28","onlineOnly":"Y","ipdsId":"IP-102970","costCenters":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"links":[{"id":373469,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2020/5016/sir20205016.pdf","text":"Report","size":"2.36 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2020–5016"},{"id":373468,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2020/5016/coverthb.jpg"},{"id":399636,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_109799.htm"}],"country":"United States","state":"Nebraska","otherGeospatial":"Elkhorn River Basin, Salt Creek Basin, Platte River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -99.7283,\n 40.9667\n ],\n [\n -96,\n 40.9667\n ],\n [\n -96,\n 42.7\n ],\n [\n -99.7283,\n 42.7\n ],\n [\n -99.7283,\n 40.9667\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Nebraska Water Science Center
U.S. Geological Survey
5231 South 19th Street
Lincoln, NE 68512

","tableOfContents":"","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2020-03-25","noUsgsAuthors":false,"publicationDate":"2020-03-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Dietsch, Benjamin J. 0000-0003-1090-409X bdietsch@usgs.gov","orcid":"https://orcid.org/0000-0003-1090-409X","contributorId":1346,"corporation":false,"usgs":true,"family":"Dietsch","given":"Benjamin","email":"bdietsch@usgs.gov","middleInitial":"J.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":782711,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Strauch, Kellan R. 0000-0002-7218-2099","orcid":"https://orcid.org/0000-0002-7218-2099","contributorId":208562,"corporation":false,"usgs":true,"family":"Strauch","given":"Kellan R.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":782710,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70210927,"text":"70210927 - 2020 - Low stand density moderates growth declines during hot droughts in semi-arid forests","interactions":[],"lastModifiedDate":"2020-07-03T14:40:57.637149","indexId":"70210927","displayToPublicDate":"2020-03-25T09:32:25","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Low stand density moderates growth declines during hot droughts in semi-arid forests","docAbstract":"
  1. Increasing heat and aridity in coming decades is expected to negatively impact tree growth and threaten forest sustainability in dry areas. Maintaining low stand density has the potential to mitigate the negative effects of increasingly severe droughts by minimizing competitive intensity.
  2. However, the direct impact of stand density on the growing environment (i.e. soil moisture), and the specific drought metrics that best quantify that environment, are not well explored for any forest ecosystem. We examined the relationship of varying stand density (i.e. basal area) on soil moisture and stand‐level growth in a long‐term (multi‐decadal), ponderosa pine Pinus ponderosa , forest management experiment. We accounted for the influence of stand‐level density on moisture availability by measuring and modelling soil moisture using an ecosystem water balance model.
  3. To quantify the growing environment, we developed metrics of ecological drought that integrate the influence of moisture availability in the soil with moisture demand by the atmosphere. We paired these results with stand‐level dendrochronological data, avoiding the potential bias introduced from individual tree‐based assessments, and used critical climate period analysis to identify the timing and duration of these drought metrics that most relate to forest growth.
  4. We found that stand‐level growth is highly responsive to the combination of high temperature and low soil moisture. Growth in all stands was negatively related to temperature and positively related to moisture availability, although the sensitivity of growth to those conditions varied among stand density treatments. Growth enhancement during cool years is greatest in low density stands. In addition, low density stands displayed substantially higher long‐term average growth than higher density stands and maintained higher growth even when temperatures were high. Growth in low density stands also increased more than higher density stands in response to greater long‐term moisture availability.
  5. Synthesis and applications . We quantified the influence of stand‐level density on the environmental conditions that determine tree growth and related forest growth to patterns of moisture supply and demand. Our drought metrics, and analytical approach for quantifying drought impacts on forest growth, are a novel approach for assessing forest vulnerability to drought under climate change. These results provide new perspective on the potential for density management to mitigate drought stress and maintain forest stand growth during and after drought events in water‐limited forests.
","language":"English","publisher":"Wiley","doi":"10.1111/1365-2664.13615","usgsCitation":"Andrews, C.M., D’Amato, A.W., Fraver, S., Palik, B., Battaglia, M.A., and Bradford, J.B., 2020, Low stand density moderates growth declines during hot droughts in semi-arid forests: Journal of Applied Ecology, v. 57, no. 6, p. 1089-1102, https://doi.org/10.1111/1365-2664.13615.","productDescription":"14 p.","startPage":"1089","endPage":"1102","ipdsId":"IP-112291","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":457281,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2664.13615","text":"Publisher Index Page"},{"id":437050,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9ESPL41","text":"USGS data release","linkHelpText":"Stand density and climate data in the Taylor Woods study area (Fort Valley Experimental Forest) on the Colorado Plateau in Northern Arizona, 1961-2011"},{"id":376125,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Fort Valley Experimental Forest, Taylor Woods","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.7939567565918,\n 35.258305603213884\n ],\n [\n -111.72263145446777,\n 35.258305603213884\n ],\n [\n -111.72263145446777,\n 35.31057268626494\n ],\n [\n -111.7939567565918,\n 35.31057268626494\n ],\n [\n -111.7939567565918,\n 35.258305603213884\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"57","issue":"6","noUsgsAuthors":false,"publicationDate":"2020-05-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Andrews, Caitlin M. 0000-0003-4593-1071 candrews@usgs.gov","orcid":"https://orcid.org/0000-0003-4593-1071","contributorId":192985,"corporation":false,"usgs":true,"family":"Andrews","given":"Caitlin","email":"candrews@usgs.gov","middleInitial":"M.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":792183,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"D’Amato, Anthony W.","contributorId":28140,"corporation":false,"usgs":false,"family":"D’Amato","given":"Anthony","email":"","middleInitial":"W.","affiliations":[{"id":13478,"text":"Department of Forest Resources, University of Minnesota, St. Paul, Minnesota (Correspondence to: russellm@umn.edu)","active":true,"usgs":false},{"id":6735,"text":"University of Vermont, Rubenstein School of Environment and Natural Resources","active":true,"usgs":false}],"preferred":false,"id":792184,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fraver, Shawn","contributorId":91379,"corporation":false,"usgs":false,"family":"Fraver","given":"Shawn","email":"","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":792185,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Palik, Brian","contributorId":34412,"corporation":false,"usgs":true,"family":"Palik","given":"Brian","affiliations":[],"preferred":false,"id":792186,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Battaglia, Michael A.","contributorId":228827,"corporation":false,"usgs":false,"family":"Battaglia","given":"Michael","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":792187,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bradford, John B. 0000-0001-9257-6303 jbradford@usgs.gov","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":611,"corporation":false,"usgs":true,"family":"Bradford","given":"John","email":"jbradford@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":792188,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70255608,"text":"70255608 - 2020 - Quantifying background nitrate removal mechanisms in an agricultural watershed with contrasting subcatchment baseflow concentrations","interactions":[],"lastModifiedDate":"2024-06-26T13:34:30.48224","indexId":"70255608","displayToPublicDate":"2020-03-25T08:28:14","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2262,"text":"Journal of Environmental Quality","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying background nitrate removal mechanisms in an agricultural watershed with contrasting subcatchment baseflow concentrations","docAbstract":"

Numerous studies have documented the linkages between agricultural nitrogen loads and surface water degradation. In contrast, potential water quality improvements due to agricultural best management practices are difficult to detect because of the confounding effect of background nitrate removal rates, as well as the groundwater-driven delay between land surface action and stream response. To characterize background controls on nitrate removal in two agricultural catchments, we calibrated groundwater travel time distributions with subsurface environmental tracer data to quantify the lag time between historic agricultural inputs and measured baseflow nitrate. We then estimated spatially distributed loading to the water table from nitrate measurements at monitoring wells, using machine learning techniques to extrapolate the loading to unmonitored portions of the catchment to subsequently estimate catchment removal controls. Multiple models agree that in-stream processes remove as much as 75% of incoming loads for one subcatchment while removing <20% of incoming loads for the other. The use of a spatially variable loading field did not result in meaningfully different optimized parameter estimates or model performance when compared with spatially constant loading derived directly from a county-scale agricultural nitrogen budget. Although previous studies using individual well measurements have shown that subsurface denitrification due to contact with a reducing argillaceous confining unit plays an important role in nitrate removal, the catchment-scale contribution of this process is difficult to quantify given the available data. Nonetheless, the study provides a baseline characterization of nitrate transport timescales and removal mechanisms that will support future efforts to detect water quality benefits from ongoing best management practice implementation.

","language":"English","publisher":"American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America","doi":"10.1002/jeq2.20049","usgsCitation":"Zell, W.O., Culver, T., Sanford, W.E., and Goodall, J.L., 2020, Quantifying background nitrate removal mechanisms in an agricultural watershed with contrasting subcatchment baseflow concentrations: Journal of Environmental Quality, v. 49, no. 2, p. 392-403, https://doi.org/10.1002/jeq2.20049.","productDescription":"12 p.","startPage":"392","endPage":"403","ipdsId":"IP-110824","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":437051,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9VWY11M","text":"USGS data release","linkHelpText":"MODFLOW-2005 and MODPATH6 models used to simulate groundwater flow and nitrate transport in two tributaries to the Upper Chester River, Maryland"},{"id":430521,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland","otherGeospatial":"Upper Chester study area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -76,\n 39.333\n ],\n [\n -76,\n 39.25\n ],\n [\n -75.916667,\n 39.25\n ],\n [\n -75.916667,\n 39.333\n ],\n [\n -76,\n 39.333\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"49","issue":"2","noUsgsAuthors":false,"publicationDate":"2020-03-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Zell, Wesley O. 0000-0002-8782-6627","orcid":"https://orcid.org/0000-0002-8782-6627","contributorId":339721,"corporation":false,"usgs":true,"family":"Zell","given":"Wesley","email":"","middleInitial":"O.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":904929,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Culver, Teresa B","contributorId":339722,"corporation":false,"usgs":false,"family":"Culver","given":"Teresa B","affiliations":[{"id":25492,"text":"University of Virginia","active":true,"usgs":false}],"preferred":false,"id":904930,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sanford, Ward E. 0000-0002-6624-0280 wsanford@usgs.gov","orcid":"https://orcid.org/0000-0002-6624-0280","contributorId":2268,"corporation":false,"usgs":true,"family":"Sanford","given":"Ward","email":"wsanford@usgs.gov","middleInitial":"E.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":904931,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Goodall, Jonathan L","contributorId":339724,"corporation":false,"usgs":false,"family":"Goodall","given":"Jonathan","email":"","middleInitial":"L","affiliations":[{"id":25492,"text":"University of Virginia","active":true,"usgs":false}],"preferred":false,"id":904932,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70209617,"text":"70209617 - 2020 - Well predictive performance of play-wide and Subarea Random Forest models for Bakken productivity","interactions":[],"lastModifiedDate":"2020-08-06T19:34:08.003257","indexId":"70209617","displayToPublicDate":"2020-03-25T08:07:07","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2419,"text":"Journal of Petroleum Science and Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Well predictive performance of play-wide and Subarea Random Forest models for Bakken productivity","docAbstract":"In recent years, geologists and petroleum engineers have struggled to clearly identify the mechanisms that drive productivity in horizontal, hydraulically-fractured oil wells producing from the middle member of the Bakken formation. This paper fills a gap in the literature by showing how this play’s heterogeneity affects factors that drive well productivity. It is important because understanding the relative strength of productivity drivers and how predictors vary spatially facilitates best-practices for well site selection and well completion design. The paper describes an application of the Random Forest (RF) machine learning technique to identify these mechanisms and to evaluate their importance across 9 subareas of the North Dakota portion of the Bakken play. The study examined productivity of 7311 wells initiating production from 2010 through 2017. Well productivity varied considerably across the 9 subareas within the play, so it was not surprising that the dominant predictors, the initial 180-day water cut and the 30-day initial gas production, vary spatially to mirror local conditions that strongly affect well productivity. The relative importance of well completion predictor variables, that is, the numbers of fractures stages per well, volume of injected proppant per stage, volume of injected fluids per stage, and lateral length, varied considerably across the subareas. Statistical permutation tests are presented that generally confirm the importance rankings. Subarea Random Forest models explained from 50 percent to 82 percent of the variation in productivity test samples while the play-wide model explained 73 percent of the test sample well productivity. Weakness in the predictive ability of the Random Forest models are traced to the limited variability in the training data. Implications of the empirical findings regarding the Bakken play for operators and for research and government institutions are discussed in the concluding section.","language":"English","publisher":"Elsevier","doi":"10.1016/j.petrol.2020.107150","usgsCitation":"Attanasi, E., Freeman, P., and Coburn, T., 2020, Well predictive performance of play-wide and Subarea Random Forest models for Bakken productivity: Journal of Petroleum Science and Engineering, v. 191, 107150, 12 p., https://doi.org/10.1016/j.petrol.2020.107150.","productDescription":"107150, 12 p.","ipdsId":"IP-109805","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":457284,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.petrol.2020.107150","text":"Publisher Index Page"},{"id":374051,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana, North Dakota, South Dakota","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -108.80859375,\n 47.931066347509784\n ],\n [\n -107.2705078125,\n 46.5286346952717\n ],\n [\n -103.5791015625,\n 45.02695045318546\n ],\n [\n -101.689453125,\n 45.30580259943578\n ],\n [\n -99.84374999999999,\n 46.89023157359399\n ],\n [\n -98.701171875,\n 48.951366470947725\n ],\n [\n -108.10546875,\n 48.951366470947725\n ],\n [\n -109.072265625,\n 48.980216985374994\n ],\n [\n -108.80859375,\n 47.931066347509784\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"191","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Attanasi, Emil D. 0000-0001-6845-7160 attanasi@usgs.gov","orcid":"https://orcid.org/0000-0001-6845-7160","contributorId":198728,"corporation":false,"usgs":true,"family":"Attanasi","given":"Emil D.","email":"attanasi@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":787187,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Freeman, Philip A. 0000-0002-0863-7431","orcid":"https://orcid.org/0000-0002-0863-7431","contributorId":224150,"corporation":false,"usgs":true,"family":"Freeman","given":"Philip A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":787188,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coburn, Tim","contributorId":224151,"corporation":false,"usgs":false,"family":"Coburn","given":"Tim","email":"","affiliations":[{"id":38022,"text":"University of Tulsa","active":true,"usgs":false}],"preferred":false,"id":787189,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70209556,"text":"70209556 - 2020 - Sequential biodegradation of 1,2,4-trichlorobenzene at oxic-anoxic groundwater interfaces in model laboratory columns","interactions":[],"lastModifiedDate":"2020-08-06T19:17:57.204399","indexId":"70209556","displayToPublicDate":"2020-03-25T07:32:21","publicationYear":"2020","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":"Sequential biodegradation of 1,2,4-trichlorobenzene at oxic-anoxic groundwater interfaces in model laboratory columns","docAbstract":"Halogenated organic solvents such as chlorobenzenes (CBs) are frequent groundwater contaminants due to legacy spills. When contaminated anaerobic groundwater discharges into surface water through wetlands and other transition zones, aeration can occur from various physical and biological processes at shallow depths, resulting in oxic-anoxic interfaces (OAIs). This study investigated the potential for 1,2,4-trichlorobenzene (1,2,4-TCB) biodegradation at OAIs. A novel upflow column system was developed to create stable anaerobic and aerobic zones, simulating a natural groundwater OAI. Two columns containing (1) sand and (2) a mixture of wetland sediment and sand were operated continuously for 295 days with varied doses of 0.14-1.4 mM sodium lactate (NaLac) as a model electron donor. Both column matrices supported anaerobic reductive dechlorination and aerobic degradation of 1,2,4-TCB spatially separated between anaerobic and aerobic zones. Reductive dechlorination produced a mixture of di- and monochlorobenzene daughter products, with estimated zero-order dechlorination rates up to 31.3 µM/hr. Aerobic CB degradation, limited by available dissolved oxygen, occurred for 1,2,4-TCB and all dechlorinated daughter products. Initial reductive dechlorination did not enhance the overall observed extent or rate of subsequent aerobic CB degradation. Increasing NaLac dose increased the extent of reductive dechlorination, but suppressed aerobic CB degradation at 1.4 mM NaLac due to increased oxygen demand. 16S-rRNA sequencing of biofilm microbial communities revealed strong stratification of functional anaerobic and aerobic organisms between redox zones including the sole putative reductive dechlorinator detected in the columns, Dehalobacter. The sediment mixture column supported enhanced reductive dechlorination compared to the sand column at all tested NaLac doses and growth of Dehalobacter populations up to 4.1×108 copies/g (51% relative abundance), highlighting the potential benefit of sediments in reductive dechlorination processes. Results from these model systems suggest both substantial anaerobic and aerobic CB degradation can co-occur along the OAI at contaminated sites where bioavailable electron donors and oxygen are both present.","language":"English","publisher":"Elsevier","doi":"10.1016/j.jconhyd.2020.103639","usgsCitation":"Chow, S.J., Lorah, M.M., Wadhawan, A.R., Durant, N.D., and Bouwer, E.J., 2020, Sequential biodegradation of 1,2,4-trichlorobenzene at oxic-anoxic groundwater interfaces in model laboratory columns: Journal of Contaminant Hydrology, v. 231, 103639, 13 p., https://doi.org/10.1016/j.jconhyd.2020.103639.","productDescription":"103639, 13 p.","ipdsId":"IP-111522","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"links":[{"id":457286,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7217665","text":"External Repository"},{"id":373945,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"231","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Chow, Steven J.","contributorId":224063,"corporation":false,"usgs":false,"family":"Chow","given":"Steven","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":786947,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lorah, Michelle M. 0000-0002-9236-587X","orcid":"https://orcid.org/0000-0002-9236-587X","contributorId":224040,"corporation":false,"usgs":true,"family":"Lorah","given":"Michelle","middleInitial":"M.","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":786843,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wadhawan, Amar R.","contributorId":224041,"corporation":false,"usgs":false,"family":"Wadhawan","given":"Amar","email":"","middleInitial":"R.","affiliations":[{"id":40822,"text":"Arcadis U.S. Inc.","active":true,"usgs":false}],"preferred":false,"id":786844,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Durant, Neal D.","contributorId":224042,"corporation":false,"usgs":false,"family":"Durant","given":"Neal","email":"","middleInitial":"D.","affiliations":[{"id":36571,"text":"Geosyntec Consultants","active":true,"usgs":false}],"preferred":false,"id":786845,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bouwer, Edward J.","contributorId":224043,"corporation":false,"usgs":false,"family":"Bouwer","given":"Edward","email":"","middleInitial":"J.","affiliations":[{"id":36717,"text":"Johns Hopkins University","active":true,"usgs":false}],"preferred":false,"id":786846,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70210347,"text":"70210347 - 2020 - Li and Ca enrichment in the Bristol Dry Lake brine compared to brines from Cadiz and Danby Dry Lakes, Barstow-Bristol Trough, California, USA","interactions":[],"lastModifiedDate":"2020-06-09T20:42:07.632544","indexId":"70210347","displayToPublicDate":"2020-03-21T16:16:29","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5207,"text":"Minerals","active":true,"publicationSubtype":{"id":10}},"title":"Li and Ca enrichment in the Bristol Dry Lake brine compared to brines from Cadiz and Danby Dry Lakes, Barstow-Bristol Trough, California, USA","docAbstract":"
Relatively few discharging playas in western United States extensional basins have high concentrations of lithium (Li) and calcium (Ca) in the basin-center brines. However, the source of both these ions is not well understood, and it is not clear why basins in close proximity within the same extensional trough have notably different concentrations of Li and Ca. In the Barstow-Bristol Trough, California, USA, three playas in separate topographically closed basins vary in Li and Ca concentrations from northwest to southeast: 71–110 mg/L Li and 17–65 g/L Ca at Bristol Dry Lake, 20–80 mg/L Li and 7.5–40 g/L Ca at Cadiz Dry Lake, and <5 mg/L Li and <0.5 g/L Ca at Danby Dry Lake. Using new and historic data from recently drilled wells (2017–2018), it has been determined that there is minimal variation of temperature, Li, and major ion concentrations with depth (down to 500 m), suggesting that the brines are well mixed and likely to circulate slowly due to density driven flow. Although it has been postulated that geothermal fluids supply the Li and Ca to Bristol and Cadiz closed basins, there is little to no surface evidence for geothermal fluids, except for a young (80,000-year-old) volcanic crater in Bristol Dry Lake. However, major-ion chemistry of fluid inclusions in bedded halite deposits show no change in brine chemistry over the last 3 million years in Bristol Dry Lake indicating that the source of lithium is not related to these recent basaltic eruptions. Mg–Li geothermometry of basin-center brines indicates that Bristol and Cadiz brines have possibly been heated to near 160 °C at some time and Danby brine water has been heated to less than 100 °C, although Cadiz and Danby lakes have no known surface geothermal features. The difference in Li concentrations between the different basins is likely caused by variable sources of both ions and the hydrology of the playas, including differences in how open or closed the basins are, recharge rates, evaporative concentration, permeability of basin-center sediments, and the possible amount of geothermal heating. The differences in Ca concentrations are more difficult to determine. However, historic groundwater data in the basins indicate that less saline groundwater on the north side of the basins has molar Ca:HCO3 and Ca:SO4 ratios greater than one, which indicates a non-saline groundwater source for at least some of the Ca. The similar Li and Ca concentrations in Bristol and Cadiz lakes may be because they are separated only by a low topographic divide and may have been connected at times in the past three million years. All three basins are at least Miocene in age, as all three basins have been interpreted to contain Bouse Formation sediments at various depths or in outcrop. The age of the basins indicates that there is ample time for concentration of Li and Ca in the basins even at low evaporation rates or low geothermal inputs. The source of Li for brines in Bristol and Cadiz basins is postulated to be from ancient geothermal fluids that no longer exist in the basin. The source of Li to the sediment may be either geothermal fluids or dissolution and concentration of Li from tephra layers and detrital micas or clays that are present in the sediments, or a combination of both. The source of Ca must at least partially come from groundwater in the alluvial fans, as some wells have Ca:HCO3 ratios that are greater than one. The source of Ca could be from the dissolution of Ca-bearing igneous rocks in the surrounding catchments with limited HCO3 contribution, or dilute geothermal water migrating up through faults in the basin margin. The relatively low concentration of Li and Ca in Danby playa is likely caused by a lack of sources in the basin and because the basin was (or is) partially hydrologically open to the south, reducing the effectiveness of evaporative concentration of solutes. Bristol Dry Lake is likely the only hydrologically closed basin of the three because although Cadiz has a similar brine chemistry and salinity, there is almost no halite deposition in the basin. It is only Bristol Dry Lake that contains 40% halite in its basin center.
","language":"English","publisher":"MDPI","doi":"10.3390/min10030284","usgsCitation":"Rosen, M.R., Stillings, L.L., Kane, T., Campbell, K.M., Vitale, M., and Spanjers, R., 2020, Li and Ca enrichment in the Bristol Dry Lake brine compared to brines from Cadiz and Danby Dry Lakes, Barstow-Bristol Trough, California, USA: Minerals, v. 10, no. 3, 284, 34 p., https://doi.org/10.3390/min10030284.","productDescription":"284, 34 p.","ipdsId":"IP-113658","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":457292,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/min10030284","text":"Publisher Index Page"},{"id":437052,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P95KHUJI","text":"USGS data release","linkHelpText":"Groundwater quality data from Bristol and Cadiz Basins, San Bernardino County, California, USA"},{"id":375194,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Bristol Dry Lake, Danby Dry Lakes","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -115.8563232421875,\n 34.14363482031264\n ],\n [\n -114.5599365234375,\n 34.14363482031264\n ],\n [\n -114.5599365234375,\n 35.04798673426734\n ],\n [\n -115.8563232421875,\n 35.04798673426734\n ],\n [\n -115.8563232421875,\n 34.14363482031264\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"10","issue":"3","noUsgsAuthors":false,"publicationDate":"2020-03-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Rosen, Michael R. 0000-0003-3991-0522 mrosen@usgs.gov","orcid":"https://orcid.org/0000-0003-3991-0522","contributorId":495,"corporation":false,"usgs":true,"family":"Rosen","given":"Michael","email":"mrosen@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":790016,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stillings, Lisa L. 0000-0002-9011-8891 stilling@usgs.gov","orcid":"https://orcid.org/0000-0002-9011-8891","contributorId":193548,"corporation":false,"usgs":true,"family":"Stillings","given":"Lisa","email":"stilling@usgs.gov","middleInitial":"L.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":790017,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kane, Tyler 0000-0003-2511-7312 tkane@usgs.gov","orcid":"https://orcid.org/0000-0003-2511-7312","contributorId":195588,"corporation":false,"usgs":true,"family":"Kane","given":"Tyler","email":"tkane@usgs.gov","affiliations":[],"preferred":true,"id":790018,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Campbell, Kate M. 0000-0002-8715-5544 kcampbell@usgs.gov","orcid":"https://orcid.org/0000-0002-8715-5544","contributorId":1441,"corporation":false,"usgs":true,"family":"Campbell","given":"Kate","email":"kcampbell@usgs.gov","middleInitial":"M.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":790019,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vitale, Matthew","contributorId":225017,"corporation":false,"usgs":false,"family":"Vitale","given":"Matthew","email":"","affiliations":[],"preferred":false,"id":790020,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Spanjers, Ray","contributorId":225018,"corporation":false,"usgs":false,"family":"Spanjers","given":"Ray","email":"","affiliations":[],"preferred":false,"id":790021,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70209094,"text":"ofr20201026 - 2020 - Evaluating dewatering approaches to protect larval Pacific lamprey","interactions":[],"lastModifiedDate":"2020-03-23T12:10:11","indexId":"ofr20201026","displayToPublicDate":"2020-03-20T14:19:59","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-1026","displayTitle":"Evaluating Dewatering Approaches to Protect Larval Pacific Lamprey","title":"Evaluating dewatering approaches to protect larval Pacific lamprey","docAbstract":"

Executive Summary

Larval Pacific lamprey live for several years burrowed in nearshore sediments where they filter feed on detritus and organic matter. Dewatering of larval habitat can occur as a result of flow-management practices, construction projects, or seasonal closures of irrigation diversions. Effective management of dewatering events requires guidance on approaches to protect lamprey, such as dewatering rates and light conditions (day or night) that allow lamprey the best opportunity to relocate water and avoid being stranded. We conducted controlled laboratory experiments comparing five dewatering rates (1, 1.8, 4, 8, and 16 inches per hour [in/h]) and two light conditions (light and dark) to evaluate their effectiveness in protecting larval lamprey. We used a tank with a simulated shoreline at a 10-percent slope filled with river sediment and manipulated the outflow to control the rate of dewatering until water was covering only the sediment in the lowest tank section, at the bottom of the slope. Following dewatering, larvae were classified as either stranded (in or on the substrate outside the watered area) or safe (relocated to the wetted area at the lower end of the tank). All study groups experienced high rates of stranding. The lowest stranding rates were for 1 in/h, in both light (77 percent) and dark (80 percent). Faster dewatering rates generally produced higher percentages of stranded fish, and both the dark and light trials at 16 in/h stranded all larvae. At each of the five dewatering rates, trials conducted in the dark stranded the same or higher proportions of fish than the corresponding trial conducted in the light, so there was no clear advantage to dewatering during dark conditions. The largest contribution to stranding rates for all study groups was the high number of larvae (50–80 percent) that did not initiate movement in response to dewatering and remained in the uppermost tank section where they were stocked at the start of the trials. The proportion of larvae that emerged from the sediment during dewatering trials was approximately 30 percent, and fish that emerged were consistently smaller than those that remained burrowed. Combining all dewatering rates, emergence was 31.3 percent for groups under dark conditions and 30.7 percent for groups under light conditions. We recorded the timing of emergence for 58 larvae and their median time to emerge (after the surface of the sediment in the uppermost tank section was dewatered) was 0.62 hour (h) (range 0–4.5 h). We measured larval movement rates and found that large fish moved faster than small fish. Differences in larval movement rate based on light condition were significant only for large fish, which had a significantly faster rate during light conditions. Larval lamprey moved, over short distances, at rates that exceeded the fastest dewatering rate we tested. The mean movement rates for groups ranged from 19.0 to 44.4 centimeters per minute [cm/min]) and the fastest dewatering rate (16 in/h) is equivalent to less than 1 cm/min. Only the slowest movement rate measured, 6.6 cm/min for one individual lamprey, was slower than the fastest dewatering rate.

We also investigated lamprey responses to a series of dewatering and rewatering events. Individual larvae were held in cylinders and exposed to four cycles of dewatering and rewatering using dewatering rates of 1 and 16 in/h and a rewatering rate of 2 in/h. Each dewatering rate was tested under both dark and light conditions. The location of fish, either on the surface of the sediment or burrowed, was recorded after each dewatering event for four rounds. The most common individual fish response for all study groups was to remain burrowed through all four rounds, and there were large differences in response between small and large larvae. Overall for small larvae, combining all groups, 14 of 28 fish emerged, and of those, 8 died and 1 was lethargic. The 1-in/h rate had 7 of the 8 mortalities, split about equally between the dark (3 fish) and light (4 fish) trials. All but one fish that died emerged from the sediment at some point during the four rounds of dewatering. Large larvae predominantly remained burrowed in all four rounds and did not experience any mortality. None of the large fish emerged for more than a single round, and emergence occurred only in the first and second rounds. Larvae emerged more quickly as the number of dewatering events increased. The mean time to emerge after the surface of the sediment in the tube was dewatered, combing all four groups, was 42 minutes (min) in round 1 (14 fish), 16 min in round 2 (5 fish), 11 min in round 3 (3 fish), and 8 minutes in round 4 (3 fish). When all groups and rounds of dewatering were combined, the overall mean time to emerge was 29 min (25 fish) and ranged from 1 min to 2 hours after the surface of the sediment was dewatered. Larvae burrowed deeper during the 1-in/h trials than the 16-in/h trials, and few fish were deeper than about 23 centimeters (cm). Large larvae burrowed deeper than small larvae. Small larvae were most concentrated from 0 to 7.6 cm (83.7 percent), and large fish were concentrated from 15.2 to 22.8 cm (43.3 percent). The second dewatering event resulted in greater mean burrowing depth than the first event, but trends after the second event were less clear.

Larval size played a role in lamprey responses to dewatering, having a significant effect on emergence, movement rate, and vertical distribution. The sediment used for laboratory testing or occupied by lamprey in the field appears to affect lamprey response to dewatering and deserves greater attention in future studies. Larvae were more active in the dark, but darkness did not consistently provide better outcomes (e.g., more emergence or reduced stranding) compared to daylight. An improved understanding of the cues that prompt larvae to emerge from the sediment, combined with the ability to manage dewatering rates, would be useful to guide future dewatering events to minimize negative effects to lamprey.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201026","collaboration":"Prepared in cooperation with U.S. Fish and Wildlife Service, Fish and Wildlife Office, Portland, Oregon; and Columbia River Fish and Wildlife Conservation Office, Vancouver, Washington","usgsCitation":"Liedtke, T.L., Weiland, L.K., Skalicky. J.J., and Gray, A.E., 2020, Evaluating dewatering approaches to protect larval Pacific lamprey: U.S. Geological Survey Open-File Report 2020–1026, 32 p., https://doi.org/10.3133/ofr20201026.","productDescription":"iv, 32 p.","onlineOnly":"Y","ipdsId":"IP-113959","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":373417,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2020/1026/coverthb.jpg"},{"id":373418,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1026/ofr20201026.pdf","text":"Report","size":"992 KB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2020-1026"}],"contact":"

Director, Western Fisheries Research Center
U.S. Geological Survey
6505 NE 65th Street
Seattle, Washington 98115-5016

","tableOfContents":"","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2020-03-20","noUsgsAuthors":false,"publicationDate":"2020-03-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Liedtke, Theresa L. 0000-0001-6063-9867 tliedtke@usgs.gov","orcid":"https://orcid.org/0000-0001-6063-9867","contributorId":2999,"corporation":false,"usgs":true,"family":"Liedtke","given":"Theresa","email":"tliedtke@usgs.gov","middleInitial":"L.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":784913,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Weiland, Lisa K. 0000-0002-9729-4062 lweiland@usgs.gov","orcid":"https://orcid.org/0000-0002-9729-4062","contributorId":3565,"corporation":false,"usgs":true,"family":"Weiland","given":"Lisa","email":"lweiland@usgs.gov","middleInitial":"K.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":784914,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Skalicky, Joseph J.","contributorId":223387,"corporation":false,"usgs":false,"family":"Skalicky","given":"Joseph","email":"","middleInitial":"J.","affiliations":[{"id":40705,"text":"U.S. Fish and Wildlife Service, Columbia River Fisheries Program Office, Vancouver, WA","active":true,"usgs":false}],"preferred":false,"id":784915,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gray, Ann E.","contributorId":195113,"corporation":false,"usgs":false,"family":"Gray","given":"Ann","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":784916,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70221059,"text":"70221059 - 2020 - Characterization of feed coals and coal combustion byproducts from the Wyodak-Anderson coal zone, Powder River Basin, Wyoming","interactions":[],"lastModifiedDate":"2021-06-01T16:19:05.452779","indexId":"70221059","displayToPublicDate":"2020-03-20T11:15:04","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2789,"text":"Mountain Geologist","active":true,"publicationSubtype":{"id":10}},"title":"Characterization of feed coals and coal combustion byproducts from the Wyodak-Anderson coal zone, Powder River Basin, Wyoming","docAbstract":"

The U.S. Geological Survey (USGS) determined the physical and chemical properties of more than 260 feed coal and coal combustion byproducts from two coal-fired power plants. These plants utilized a low-sulfur (0.23-0.47 wt. % S) and low ash (4.9-6.3 wt. % ash) subbituminous coal from the Wyodak-Anderson coal zone in the Tongue River Member of the Paleocene Fort Union Formation, Powder River Basin, Wyoming. Fifty-three samples of bituminous coal were collected and analyzed from a Kentucky power plant, which used several sources of bituminous coals from the Appalachian and Illinois Basins.

Based on scanning electron microscopy (SEM) and X-ray diffraction (XRD) analyses of feed coal samples collected and analyzed from 1996 through the late 2000s, two mineral suites were identified: (1) a primary or detrital suite consisting of quartz (including beta-form grains), biotite, feldspar, and minor zircon; and (2) a secondary authigenic mineral suite containing alumino-phosphates (crandallite and gorceixite), kaolinite, carbonates (calcite and dolomite), quartz, anatase, barite, and pyrite. The detrital mineral suite is interpreted, in part, to be of volcanic origin, whereas the authigenic mineral suite is interpreted, in part, to be the result of the alteration of the volcanic minerals. The mineral suites have contributed to the higher amounts of barium, calcium, magnesium, phosphorus, sodium, strontium, and titanium in the Powder River Basin feed coals in comparison to eastern US coals.

XRD analysis indicates that (1) fly ash is mostly aluminate glass, perovskite, lime, gehlenite, quartz, and phosphates with minor amounts of periclase, anhydrite, hematite, and spinel group minerals; and (2) bottom ash is predominantly quartz, plagioclase (albite and anorthite), pyroxene (augite and fassaite), rhodonite, and akermanite, and spinel group minerals. Microprobe and SEM analyses of fly ash samples revealed quartz, zircon, and monazite, euhedral laths of corundum with merrillite, hematite, dendritic spinels/ferrites, wollastonite, and periclase. The abundant calcium and magnesium mineral phases in the fly ash are attributed to the alteration of carbonate, clay, and phosphate minerals in the feed coal during combustion.

The calcium- and magnesium-rich and alumino-phosphate mineral phases in the coal combustion byproducts can be attributed to volcanic minerals deposited in peat-forming mires. Dissolution and alteration of these detrital volcanic minerals occurred either in the peat-forming stage or during coalification and diagenesis, resulting in the authigenic mineral suite.

The presence of free lime (CaO) in fly ash produced from Wyodak-Anderson coal acts as a self-contained “scrubber” for SO3, where CaO + SO3 form anhydrite either during combustion or in the upper parts of the boiler. Considering the high lime content in the fly ash and the resulting hydration reactions after its contact with water, there is little evidence that major amounts of leachable metals are mobilized in the disposal or utilization of this fly ash.

","language":"English","publisher":"American Association of Petroleum Geologists","doi":"10.31582/rmag.mg.57.3.199","usgsCitation":"Brownfield, M.E., 2020, Characterization of feed coals and coal combustion byproducts from the Wyodak-Anderson coal zone, Powder River Basin, Wyoming: Mountain Geologist, v. 57, no. 3, p. 199-240, https://doi.org/10.31582/rmag.mg.57.3.199.","productDescription":"42 p.","startPage":"199","endPage":"240","ipdsId":"IP-112921","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":386034,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","county":"Campbell County","otherGeospatial":"Powder River basin","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-105.0874,45.0001],[-105.0855,44.9688],[-105.0861,44.8811],[-105.0764,44.8818],[-105.0773,44.8014],[-105.0773,44.7868],[-105.0863,44.787],[-105.0869,44.7574],[-105.0869,44.7277],[-105.0869,44.699],[-105.0863,44.6533],[-105.0869,44.6387],[-105.0861,44.6118],[-105.0859,44.5283],[-105.0853,44.5118],[-105.0853,44.4977],[-105.086,44.4826],[-105.0817,44.1793],[-105.076,44.1791],[-105.0776,44.1409],[-105.0776,44.1263],[-105.0804,44.0033],[-105.0842,44.0029],[-105.0849,43.9414],[-105.0849,43.9268],[-105.0848,43.9154],[-105.0851,43.8936],[-105.0848,43.8411],[-105.0847,43.8275],[-105.0809,43.8269],[-105.0821,43.7395],[-105.0821,43.7103],[-105.0821,43.6807],[-105.0822,43.6652],[-105.0821,43.6511],[-105.0822,43.6356],[-105.0821,43.6211],[-105.082,43.5942],[-105.082,43.5646],[-105.082,43.55],[-105.082,43.5341],[-105.082,43.5195],[-105.0817,43.4981],[-105.242,43.4984],[-105.2616,43.4979],[-105.2818,43.4978],[-105.302,43.4978],[-105.3216,43.4977],[-105.3418,43.4981],[-105.362,43.4981],[-105.4018,43.498],[-105.5028,43.4977],[-105.5236,43.4976],[-105.6833,43.4973],[-106.0204,43.4946],[-106.0197,43.7619],[-106.0198,43.822],[-106.0084,43.8223],[-106.0082,43.8501],[-106.0084,43.8647],[-106.008,43.8792],[-106.0082,43.8938],[-106.0078,43.9958],[-106.0076,44.0227],[-106.0078,44.0373],[-106.008,44.0524],[-106.0082,44.0665],[-106.0078,44.082],[-106.0087,44.0961],[-106.0089,44.1107],[-106.0091,44.1253],[-106.0093,44.1403],[-106.0095,44.1545],[-106.0097,44.1695],[-106.0199,44.1697],[-106.0204,44.1966],[-106.0206,44.2112],[-106.0208,44.2257],[-106.0218,44.2996],[-106.0203,44.3748],[-106.0205,44.3894],[-106.0207,44.404],[-106.0203,44.4191],[-106.0194,44.4478],[-106.0196,44.4642],[-106.0198,44.4783],[-106.02,44.4934],[-106.0203,44.5066],[-106.0205,44.5208],[-106.0115,44.5211],[-106.0115,44.5653],[-106.0078,44.8423],[-106.0076,44.8715],[-106.0166,44.8716],[-106.0164,44.8999],[-106.0171,44.9437],[-106.0165,44.962],[-106.0168,44.9968],[-106.0007,44.9967],[-105.9331,44.9973],[-105.9226,45.0007],[-105.9196,45.0017],[-105.897,45.0017],[-105.7601,45.0016],[-105.6974,45.0017],[-105.694,45.0016],[-105.6768,45.0016],[-105.5876,45.0013],[-105.2874,45.0009],[-105.2834,45.0009],[-105.2674,45.0009],[-105.2468,45.0009],[-105.2381,45.0009],[-105.2268,45.0009],[-105.0874,45.0001]]]},\"properties\":{\"name\":\"Campbell\",\"state\":\"WY\"}}]}","volume":"57","issue":"3","noUsgsAuthors":false,"publicationDate":"2020-07-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Brownfield, Michael E. 0000-0003-3633-1138 mbrownfield@usgs.gov","orcid":"https://orcid.org/0000-0003-3633-1138","contributorId":1548,"corporation":false,"usgs":true,"family":"Brownfield","given":"Michael","email":"mbrownfield@usgs.gov","middleInitial":"E.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":816670,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70209153,"text":"70209153 - 2020 - Implementation of a surface water extent model in Cambodia using cloud-based remote sensing","interactions":[],"lastModifiedDate":"2020-03-20T06:38:20","indexId":"70209153","displayToPublicDate":"2020-03-19T18:59:44","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Implementation of a surface water extent model in Cambodia using cloud-based remote sensing","docAbstract":"Mapping surface water over time provides the spatially explicit information essential for hydroclimatic research focused on droughts and flooding. Hazard risk assessments and water management planning also rely on accurate, long-term measurements describing hydrologic fluctuations. Stream gages are a common measurement tool used to better understand flow and inundation dynamics, but gage networks are incomplete or non-existent in many parts of the world. In such instances, satellite imagery may provide the only data available to monitor surface water changes over time. Here, we describe an effort to extend the applicability of the USGS Dynamic Surface Water Extent (DSWE) model to non-US regions. We leverage the multi-decadal archive of the Landsat satellite in the Google Earth Engine (GEE) cloud-based computing platform to produce and analyze 372 monthly composite maps and 31 annual maps (January 1988–December 2018) in Cambodia, a flood-prone country in Southeast Asia that lacks a comprehensive stream gage network. DSWE relies on a series of spectral water indices and elevation data to classify water into four categories of water inundation. We compared model outputs to existing surface water maps and independently assessed DSWE accuracy at discrete dates across the time series. Despite considerable cloud obstruction and missing imagery across the monthly time series, the overall accuracy exceeded 85% for all annual tests. The DSWE model consistently mapped open water with high accuracy, and areas classified as “high confidence” water correlate well to other available maps at the country scale. Results in Cambodia suggest that extending DSWE globally using a cloud computing framework may benefit scientists, managers, and planners in a wide array of applications across the globe.","language":"English","publisher":"MDPI","doi":"10.3390/rs12060984","usgsCitation":"Soulard, C.E., Walker, J.J., and Petrakis, R.E., 2020, Implementation of a surface water extent model in Cambodia using cloud-based remote sensing: Remote Sensing, v. 12, no. 6, 984, https://doi.org/10.3390/rs12060984.","productDescription":"984","ipdsId":"IP-115688","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":457313,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs12060984","text":"Publisher Index Page"},{"id":437053,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9LH9YYF","text":"USGS data release","linkHelpText":"Implementation of a Surface Water Extent Model using Cloud-Based Remote Sensing - Code and Maps"},{"id":373394,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Cambodia","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[103.49728,10.63256],[103.09069,11.15366],[102.58493,12.18659],[102.3481,13.39425],[102.98842,14.22572],[104.28142,14.41674],[105.21878,14.27321],[106.04395,13.88109],[106.49637,14.57058],[107.38273,14.20244],[107.61455,13.53553],[107.4914,12.33721],[105.81052,11.56761],[106.24967,10.96181],[105.19991,10.88931],[104.33433,10.48654],[103.49728,10.63256]]]},\"properties\":{\"name\":\"Cambodia\"}}]}","volume":"12","issue":"6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2020-03-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Soulard, Christopher E. 0000-0002-5777-9516 csoulard@usgs.gov","orcid":"https://orcid.org/0000-0002-5777-9516","contributorId":2642,"corporation":false,"usgs":true,"family":"Soulard","given":"Christopher","email":"csoulard@usgs.gov","middleInitial":"E.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":785150,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walker, Jessica J. 0000-0002-3225-0317 jjwalker@usgs.gov","orcid":"https://orcid.org/0000-0002-3225-0317","contributorId":169458,"corporation":false,"usgs":true,"family":"Walker","given":"Jessica","email":"jjwalker@usgs.gov","middleInitial":"J.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":785151,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Petrakis, Roy E. 0000-0001-8932-077X","orcid":"https://orcid.org/0000-0001-8932-077X","contributorId":219707,"corporation":false,"usgs":false,"family":"Petrakis","given":"Roy","email":"","middleInitial":"E.","affiliations":[{"id":27608,"text":"Contractor to the USGS","active":true,"usgs":false}],"preferred":false,"id":785152,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70209164,"text":"70209164 - 2020 - Quantifying interregional flows of multiple ecosystem services – A case study for Germany","interactions":[],"lastModifiedDate":"2020-03-20T06:39:18","indexId":"70209164","displayToPublicDate":"2020-03-19T18:54:50","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1841,"text":"Global Environmental Change","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying interregional flows of multiple ecosystem services – A case study for Germany","docAbstract":"Despite a growing number of national-scale ecosystem service (ES) assessments, few studies consider the impacts of ES use and consumption beyond national or regional boundaries. Interregional ES flows – ecosystem services “imported” from and “exported” to other countries – are rarely analyzed and their importance for global sustainability is little known. Here, we provide a first multi-ES quantification of a nation's use of ES from abroad. We focus on ES flows that benefit the population in Germany but are supplied outside German territory. We employ a conceptual framework recently developed to systematically quantify interregional ES flows. We address four types of interregional ES flows with: (i) biophysical flows of traded goods: cocoa import for consumption; (ii) flows mediated by migratory species: migration of birds providing pest control; (iii) passive biophysical flows: flood control along transboundary watersheds; and (iv) information flows: China's giant panda loan to the Berlin Zoo. We determined that: (i) Ivory Coast and Ghana alone supply around 53% of Germany's cocoa while major negative consequences for biodiversity occurred in Cameroon and Ecuador; (ii) Africa´s humid and sub-humid climate zones are important habitats for the majority of migratory bird species that provide natural pest control services in agricultural areas in Germany; (iii) Upstream watersheds outside the country add an additional 64% flood regulation services nationally, while Germany exports 40% of flood regulation services in neighboring, downstream countries; (iv) Information flows transported by the pandas were mainly related to political aspects and - contrary to our expectations - considerably less on biological and natural aspects. We discuss the implications of these results for international resource management policy and governance.","language":"English","publisher":"Elsevier","doi":"10.1016/j.gloenvcha.2020.102051","usgsCitation":"Kleeman, J., Schroter, M., Bagstad, K.J., Kuhlicke, C., Kastner, T., Fridman, D., Schulp, C.J., Wolff, S., Martinez-Lopez, J., Koellner, T., Arnhold, S., Martin-Lopez, B., Marques, A., Lopez-Hoffman, L., Liu, J., Kissinger, M., Guerra, C., and Bonn, A., 2020, Quantifying interregional flows of multiple ecosystem services – A case study for Germany: Global Environmental Change, v. 61, 102051, https://doi.org/10.1016/j.gloenvcha.2020.102051.","productDescription":"102051","ipdsId":"IP-104288","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":457315,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gloenvcha.2020.102051","text":"Publisher Index Page"},{"id":373393,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Germany","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[9.92191,54.9831],[9.93958,54.59664],[10.95011,54.36361],[10.93947,54.00869],[11.95625,54.19649],[12.51844,54.47037],[13.64747,54.07551],[14.11969,53.75703],[14.35332,53.24817],[14.07452,52.98126],[14.4376,52.62485],[14.68503,52.08995],[14.6071,51.74519],[15.017,51.10667],[14.57072,51.00234],[14.30701,51.11727],[14.05623,50.92692],[13.33813,50.73323],[12.96684,50.48408],[12.24011,50.26634],[12.41519,49.96912],[12.52102,49.54742],[13.03133,49.30707],[13.59595,48.87717],[13.24336,48.41611],[12.8841,48.28915],[13.02585,47.63758],[12.93263,47.46765],[12.62076,47.67239],[12.14136,47.70308],[11.42641,47.52377],[10.5445,47.5664],[10.40208,47.30249],[9.89607,47.5802],[9.59423,47.52506],[8.52261,47.83083],[8.3173,47.61358],[7.46676,47.62058],[7.59368,48.33302],[8.09928,49.01778],[6.65823,49.20196],[6.18632,49.4638],[6.24275,49.90223],[6.04307,50.12805],[6.15666,50.80372],[5.98866,51.85162],[6.5894,51.85203],[6.84287,52.22844],[7.09205,53.14404],[6.90514,53.48216],[7.10042,53.69393],[7.93624,53.7483],[8.12171,53.52779],[8.80073,54.02079],[8.57212,54.39565],[8.52623,54.96274],[9.28205,54.83087],[9.92191,54.9831]]]},\"properties\":{\"name\":\"Germany\"}}]}","volume":"61","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kleeman, Janina","contributorId":215954,"corporation":false,"usgs":false,"family":"Kleeman","given":"Janina","email":"","affiliations":[{"id":39336,"text":"Helmholtz Centre for Environmental Research","active":true,"usgs":false}],"preferred":false,"id":785177,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schroter, Matthias 0000-0003-0207-7311","orcid":"https://orcid.org/0000-0003-0207-7311","contributorId":202612,"corporation":false,"usgs":false,"family":"Schroter","given":"Matthias","email":"","affiliations":[{"id":36494,"text":"UFZ – Helmholtz Centre for Environmental Research","active":true,"usgs":false}],"preferred":false,"id":785178,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bagstad, Kenneth J. 0000-0001-8857-5615 kjbagstad@usgs.gov","orcid":"https://orcid.org/0000-0001-8857-5615","contributorId":3680,"corporation":false,"usgs":true,"family":"Bagstad","given":"Kenneth","email":"kjbagstad@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":785179,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kuhlicke, Christian 0000-0002-1193-228X","orcid":"https://orcid.org/0000-0002-1193-228X","contributorId":215955,"corporation":false,"usgs":false,"family":"Kuhlicke","given":"Christian","email":"","affiliations":[{"id":39336,"text":"Helmholtz Centre for Environmental Research","active":true,"usgs":false}],"preferred":false,"id":785180,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kastner, Thomas","contributorId":202618,"corporation":false,"usgs":false,"family":"Kastner","given":"Thomas","email":"","affiliations":[{"id":27439,"text":"Senckenberg Biodiversity and Climate Research Centre","active":true,"usgs":false}],"preferred":false,"id":785181,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fridman, Dor 0000-0003-3908-3571","orcid":"https://orcid.org/0000-0003-3908-3571","contributorId":223486,"corporation":false,"usgs":false,"family":"Fridman","given":"Dor","email":"","affiliations":[{"id":36498,"text":"Ben-Gurion University of the Negev","active":true,"usgs":false}],"preferred":false,"id":785182,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schulp, Catharina J. E.","contributorId":202624,"corporation":false,"usgs":false,"family":"Schulp","given":"Catharina","email":"","middleInitial":"J. E.","affiliations":[{"id":28162,"text":"Vrije University Amsterdam","active":true,"usgs":false}],"preferred":false,"id":785183,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wolff, Sarah","contributorId":202626,"corporation":false,"usgs":false,"family":"Wolff","given":"Sarah","email":"","affiliations":[{"id":28162,"text":"Vrije University Amsterdam","active":true,"usgs":false}],"preferred":false,"id":785184,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Martinez-Lopez, Javier 0000-0003-4857-3396","orcid":"https://orcid.org/0000-0003-4857-3396","contributorId":208480,"corporation":false,"usgs":false,"family":"Martinez-Lopez","given":"Javier","email":"","affiliations":[{"id":32916,"text":"Basque Centre for Climate Change","active":true,"usgs":false}],"preferred":false,"id":785185,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Koellner, Thomas 0000-0001-5022-027X","orcid":"https://orcid.org/0000-0001-5022-027X","contributorId":202613,"corporation":false,"usgs":false,"family":"Koellner","given":"Thomas","email":"","affiliations":[{"id":36495,"text":"University of Bayeruth","active":true,"usgs":false}],"preferred":false,"id":785186,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Arnhold, Sebastian 0000-0003-4823-4570","orcid":"https://orcid.org/0000-0003-4823-4570","contributorId":202615,"corporation":false,"usgs":false,"family":"Arnhold","given":"Sebastian","email":"","affiliations":[{"id":36495,"text":"University of Bayeruth","active":true,"usgs":false}],"preferred":false,"id":785187,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Martin-Lopez, Berta 0000-0003-2622-0135","orcid":"https://orcid.org/0000-0003-2622-0135","contributorId":215956,"corporation":false,"usgs":false,"family":"Martin-Lopez","given":"Berta","email":"","affiliations":[{"id":36500,"text":"Leuphana University","active":true,"usgs":false}],"preferred":false,"id":785188,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Marques, Alexandra","contributorId":202622,"corporation":false,"usgs":false,"family":"Marques","given":"Alexandra","email":"","affiliations":[{"id":36499,"text":"Leiden University","active":true,"usgs":false}],"preferred":false,"id":785189,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Lopez-Hoffman, Laura","contributorId":149127,"corporation":false,"usgs":false,"family":"Lopez-Hoffman","given":"Laura","affiliations":[{"id":17654,"text":"School of Natural Resources & the Environment and Udall Center for Studies in Public Policy, The University of Arizona, Tucson","active":true,"usgs":false}],"preferred":false,"id":785190,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Liu, Jianguo 0000-0002-6058-5472","orcid":"https://orcid.org/0000-0002-6058-5472","contributorId":202620,"corporation":false,"usgs":false,"family":"Liu","given":"Jianguo","email":"","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":785191,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Kissinger, Meidad","contributorId":202619,"corporation":false,"usgs":false,"family":"Kissinger","given":"Meidad","email":"","affiliations":[{"id":36498,"text":"Ben-Gurion University of the Negev","active":true,"usgs":false}],"preferred":false,"id":785192,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Guerra, Carlos 0000-0003-4917-2105","orcid":"https://orcid.org/0000-0003-4917-2105","contributorId":215953,"corporation":false,"usgs":false,"family":"Guerra","given":"Carlos","email":"","affiliations":[{"id":39335,"text":"Martin Luther University Halle-Wittenberg","active":true,"usgs":false}],"preferred":false,"id":785193,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Bonn, Aletta 0000-0002-8345-4600","orcid":"https://orcid.org/0000-0002-8345-4600","contributorId":202627,"corporation":false,"usgs":false,"family":"Bonn","given":"Aletta","email":"","affiliations":[{"id":36494,"text":"UFZ – Helmholtz Centre for Environmental Research","active":true,"usgs":false}],"preferred":false,"id":785194,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}} ,{"id":70209145,"text":"70209145 - 2020 - Reconnaissance of surface water estrogenicity and the prevalence of intersex in smallmouth bass (Micropterus dolomieu) inhabiting New Jersey","interactions":[],"lastModifiedDate":"2020-03-20T06:40:39","indexId":"70209145","displayToPublicDate":"2020-03-19T18:45:08","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2041,"text":"International Journal of Environmental Research and Public Health","active":true,"publicationSubtype":{"id":10}},"title":"Reconnaissance of surface water estrogenicity and the prevalence of intersex in smallmouth bass (Micropterus dolomieu) inhabiting New Jersey","docAbstract":"The observation of testicular oocytes in male fishes has been utilized as a biomarker of estrogenic endocrine disruption. A reconnaissance project led in the Northeastern United States (US) during the period of 2008–2010 identified a high prevalence of intersex smallmouth bass on or near US Fish & Wildlife Service National Wildlife Refuges that included the observation of 100% prevalence in smallmouth bass males collected from the Wallkill River, NJ, USA. To better assess the prevalence of intersex smallmouth bass across the state of New Jersey, a tiered reconnaissance approach was initiated during the fall of 2016. Surface water samples were collected from 101 (85 river, 16 lake/reservoir) sites across the state at base-flow conditions for estrogenicity bioassay screening. Detectable estrogenicity was observed at 90% of the sites and 64% were above the US Environmental Protection Agency trigger level of 1 ng/L. Median surface water estrogenicity was 1.8 ng/L and a maximum of 6.9 ng/L E2EqBLYES was observed. Adult smallmouth bass were collected from nine sites, pre-spawn during the spring of 2017. Intersex was identified in fish at all sites, and the composite intersex prevalence was 93.8%. Prevalence across sites ranged from 70.6% to 100%. In addition to intersex, there was detectable plasma vitellogenin in males at all sites. Total estrogenicity in surface water was determined at these fish collection sites, and notable change over time was observed. Correlation analysis indicated significant positive correlations between land use (altered land; urban + agriculture) and surface water estrogenicity. There were no clear associations between land use and organismal metrics of estrogenic endocrine disruption (intersex or vitellogenin). This work establishes a baseline prevalence of intersex in male smallmouth bass in the state of New Jersey at a limited number of locations and identifies a number of waterbodies with estrogenic activity above an effects-based threshold.","language":"English","publisher":"MDPI","doi":"10.3390/ijerph17062024","usgsCitation":"Iwanowicz, L., Smalling, K., Blazer, V., Braham, R.P., Sanders, L., Boetsma, A., Procopio, N., Goodrow, S., Buchanan, G., Millemann, D., Ruppel, B., Vile, J., Henning, B., and Abatemarco, J., 2020, Reconnaissance of surface water estrogenicity and the prevalence of intersex in smallmouth bass (Micropterus dolomieu) inhabiting New Jersey: International Journal of Environmental Research and Public Health, v. 17, no. 6, 2024, https://doi.org/10.3390/ijerph17062024.","productDescription":"2024","ipdsId":"IP-110398","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":457318,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/ijerph17062024","text":"Publisher Index Page"},{"id":373391,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Jersey","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-75.210876,39.865709],[-75.210425,39.865913],[-75.195324,39.877013],[-75.189323,39.880713],[-75.183023,39.882013],[-75.150721,39.882713],[-75.145421,39.884213],[-75.142421,39.886413],[-75.140221,39.888213],[-75.140006,39.888465],[-75.13342,39.896213],[-75.13082,39.900213],[-75.12792,39.911813],[-75.13012,39.917013],[-75.13282,39.921612],[-75.13502,39.927312],[-75.13612,39.933912],[-75.13572,39.947112],[-75.13352,39.954412],[-75.13012,39.958712],[-75.12692,39.961112],[-75.11922,39.965412],[-75.108119,39.970312],[-75.093718,39.974412],[-75.092481,39.974606],[-75.088618,39.975212],[-75.072017,39.980612],[-75.059994,39.991618],[-75.059017,39.992512],[-75.051217,40.004512],[-75.047016,40.008912],[-75.039316,40.013012],[-75.015515,40.019511],[-75.013796,40.020214],[-75.011115,40.021311],[-75.007914,40.023111],[-74.989914,40.037311],[-74.983913,40.042711],[-74.974713,40.048711],[-74.97432,40.048899],[-74.944412,40.063211],[-74.932211,40.068411],[-74.925311,40.07071],[-74.920811,40.07111],[-74.911911,40.06991],[-74.909011,40.07021],[-74.898573,40.072967],[-74.88781,40.07581],[-74.880209,40.07881],[-74.863809,40.08221],[-74.860909,40.08371],[-74.859809,40.08491],[-74.858209,40.08881],[-74.856509,40.09131],[-74.854409,40.09311],[-74.851108,40.09491],[-74.843408,40.09771],[-74.838008,40.10091],[-74.835108,40.10391],[-74.832808,40.11171],[-74.828408,40.12031],[-74.825907,40.12391],[-74.822307,40.12671],[-74.819007,40.12751],[-74.816307,40.12761],[-74.812807,40.12691],[-74.800607,40.12281],[-74.788706,40.12041],[-74.785106,40.12031],[-74.782106,40.12081],[-74.769488,40.129145],[-74.762864,40.132541],[-74.758882,40.134036],[-74.755305,40.13471],[-74.745905,40.13421],[-74.742905,40.13441],[-74.740605,40.13521],[-74.725663,40.145495],[-74.724304,40.14701],[-74.724134,40.14731],[-74.722604,40.15001],[-74.721604,40.15381],[-74.721504,40.158409],[-74.722304,40.160609],[-74.733804,40.174509],[-74.737205,40.177609],[-74.744105,40.181009],[-74.751705,40.183309],[-74.751943,40.183483],[-74.754305,40.185209],[-74.755605,40.186709],[-74.756905,40.189409],[-74.760605,40.198909],[-74.766905,40.207709],[-74.770406,40.214508],[-74.77136,40.215399],[-74.781206,40.221508],[-74.795306,40.229408],[-74.819507,40.238508],[-74.823907,40.241508],[-74.836307,40.246208],[-74.842308,40.250508],[-74.846608,40.258808],[-74.853108,40.269707],[-74.856508,40.277407],[-74.860492,40.284584],[-74.864692,40.290684],[-74.868209,40.295207],[-74.880609,40.305607],[-74.887109,40.310307],[-74.891609,40.313007],[-74.896409,40.315107],[-74.90331,40.315607],[-74.90831,40.316907],[-74.91741,40.322406],[-74.92681,40.329406],[-74.933111,40.333106],[-74.939711,40.338006],[-74.942954,40.341643],[-74.943776,40.342564],[-74.945088,40.347332],[-74.946006,40.357306],[-74.948722,40.364768],[-74.953697,40.376081],[-74.963997,40.395246],[-74.965508,40.397337],[-74.969597,40.39977],[-74.982735,40.404432],[-74.985467,40.405935],[-74.988901,40.408773],[-74.996378,40.410528],[-74.998651,40.410093],[-75.003351,40.40785],[-75.017221,40.404638],[-75.024775,40.403455],[-75.028315,40.403883],[-75.036616,40.406796],[-75.041651,40.409894],[-75.043071,40.411603],[-75.046473,40.413792],[-75.056102,40.416066],[-75.058848,40.418065],[-75.061489,40.422848],[-75.062923,40.433407],[-75.067425,40.448323],[-75.070568,40.455165],[-75.070568,40.456348],[-75.067302,40.464954],[-75.06805,40.468578],[-75.067776,40.472827],[-75.064327,40.476795],[-75.062227,40.481391],[-75.061937,40.486362],[-75.062373,40.491689],[-75.065275,40.504682],[-75.066001,40.510716],[-75.065853,40.519495],[-75.06509,40.526148],[-75.066402,40.536532],[-75.066426,40.536619],[-75.067257,40.539584],[-75.068615,40.542223],[-75.078503,40.548296],[-75.0957,40.564401],[-75.100325,40.567811],[-75.110903,40.570671],[-75.117292,40.573211],[-75.136748,40.575731],[-75.141906,40.575273],[-75.147368,40.573152],[-75.158446,40.565286],[-75.162871,40.564096],[-75.168609,40.564111],[-75.175307,40.564996],[-75.183151,40.567354],[-75.186737,40.569406],[-75.192352,40.574257],[-75.194046,40.576256],[-75.19487,40.578591],[-75.195114,40.579689],[-75.194656,40.58194],[-75.190796,40.586838],[-75.190146,40.590359],[-75.190369,40.591642],[-75.192291,40.602676],[-75.195923,40.606788],[-75.196803,40.60858],[-75.198499,40.611492],[-75.201348,40.614628],[-75.201812,40.617188],[-75.200708,40.618356],[-75.197891,40.619332],[-75.190691,40.619956],[-75.189283,40.621492],[-75.188579,40.624628],[-75.191059,40.637971],[-75.192276,40.640803],[-75.193492,40.642275],[-75.200468,40.646899],[-75.200452,40.649219],[-75.196676,40.655123],[-75.190852,40.661939],[-75.18794,40.663811],[-75.182756,40.665971],[-75.177491,40.672595],[-75.176803,40.675715],[-75.177587,40.677731],[-75.180564,40.679363],[-75.184516,40.679971],[-75.19058,40.679379],[-75.19692,40.681299],[-75.20092,40.685498],[-75.20392,40.691498],[-75.19872,40.705298],[-75.19442,40.714018],[-75.192612,40.715874],[-75.189412,40.71797],[-75.186372,40.72397],[-75.1825,40.729922],[-75.182084,40.731522],[-75.182804,40.73365],[-75.18578,40.737266],[-75.195349,40.745473],[-75.196325,40.747137],[-75.196861,40.750097],[-75.196533,40.751631],[-75.191796,40.75583],[-75.183037,40.759344],[-75.17904,40.761897],[-75.177477,40.764225],[-75.176855,40.768721],[-75.17562,40.772923],[-75.173349,40.776129],[-75.171587,40.777745],[-75.169523,40.778473],[-75.16365,40.778386],[-75.149378,40.774786],[-75.139106,40.773606],[-75.1344,40.773765],[-75.133303,40.774124],[-75.131465,40.77595],[-75.125867,40.784026],[-75.123088,40.786746],[-75.116842,40.78935],[-75.111343,40.789896],[-75.108505,40.791094],[-75.1008,40.799797],[-75.100277,40.801176],[-75.100165,40.803],[-75.100739,40.805488],[-75.100277,40.807578],[-75.098279,40.810286],[-75.096147,40.812211],[-75.090518,40.815913],[-75.085387,40.821972],[-75.083929,40.824471],[-75.083822,40.827805],[-75.085517,40.830085],[-75.09494,40.837103],[-75.097006,40.839336],[-75.097572,40.840967],[-75.097586,40.843042],[-75.097221,40.844672],[-75.095784,40.847082],[-75.090962,40.849187],[-75.076684,40.849875],[-75.073544,40.84894],[-75.07083,40.847392],[-75.066014,40.847591],[-75.064328,40.848338],[-75.060491,40.85302],[-75.053294,40.8599],[-75.051029,40.865662],[-75.050839,40.868067],[-75.051508,40.870224],[-75.053664,40.87366],[-75.058655,40.877654],[-75.062149,40.882289],[-75.065438,40.885682],[-75.07392,40.892176],[-75.07534,40.894162],[-75.075957,40.895694],[-75.075188,40.900154],[-75.076092,40.907042],[-75.076956,40.90988],[-75.079279,40.91389],[-75.095526,40.924152],[-75.09772,40.926679],[-75.105524,40.936294],[-75.106153,40.939671],[-75.111683,40.948111],[-75.117764,40.953023],[-75.118904,40.956361],[-75.119893,40.961646],[-75.120316,40.96263],[-75.12065,40.964028],[-75.11977,40.96651],[-75.120435,40.968302],[-75.120514,40.968369],[-75.122603,40.970152],[-75.129074,40.968976],[-75.131364,40.969277],[-75.13378,40.970973],[-75.135526,40.973807],[-75.135521,40.976865],[-75.133086,40.980179],[-75.132106,40.982566],[-75.13153,40.984914],[-75.131619,40.9889],[-75.130575,40.991093],[-75.127196,40.993954],[-75.123423,40.996129],[-75.110595,41.002174],[-75.109114,41.004102],[-75.100682,41.006716],[-75.095556,41.008874],[-75.090312,41.013302],[-75.089787,41.014549],[-75.081101,41.016838],[-75.074999,41.01713],[-75.070532,41.01862],[-75.040668,41.031755],[-75.034496,41.036755],[-75.030701,41.038416],[-75.025777,41.039806],[-75.02543,41.04071],[-75.026376,41.04444],[-75.025702,41.046482],[-75.019186,41.052968],[-75.017239,41.055491],[-75.015867,41.05821],[-75.015271,41.061215],[-75.01257,41.066281],[-75.011133,41.067521],[-75.006376,41.067546],[-74.999617,41.073943],[-74.994847,41.076556],[-74.989332,41.078319],[-74.98259,41.079172],[-74.970987,41.085293],[-74.968389,41.087797],[-74.966759,41.093425],[-74.967136,41.094441],[-74.967464,41.095327],[-74.969434,41.096074],[-74.972036,41.095562],[-74.975298,41.094073],[-74.981314,41.08986],[-74.984782,41.088545],[-74.988263,41.088222],[-74.991013,41.088578],[-74.991815,41.089132],[-74.991718,41.092284],[-74.982212,41.108245],[-74.979873,41.110423],[-74.972917,41.113327],[-74.969312,41.113869],[-74.966298,41.113669],[-74.964294,41.114237],[-74.947912,41.12356],[-74.947334,41.124439],[-74.947714,41.126292],[-74.945067,41.129052],[-74.931141,41.133387],[-74.923169,41.138146],[-74.905256,41.155668],[-74.90178,41.161394],[-74.901172,41.16387],[-74.899701,41.166181],[-74.889424,41.1736],[-74.882139,41.180836],[-74.878492,41.187504],[-74.878275,41.190489],[-74.874034,41.198543],[-74.867287,41.208754],[-74.860398,41.217454],[-74.859632,41.219077],[-74.859323,41.220507],[-74.860837,41.222317],[-74.866839,41.226865],[-74.867405,41.22777],[-74.866182,41.232132],[-74.862049,41.237609],[-74.861678,41.241575],[-74.857151,41.248975],[-74.856003,41.250094],[-74.854669,41.25051],[-74.848987,41.251192],[-74.846932,41.253318],[-74.845883,41.254945],[-74.845031,41.258055],[-74.846506,41.261576],[-74.846319,41.263077],[-74.841137,41.27098],[-74.838366,41.277286],[-74.834067,41.281111],[-74.830057,41.2872],[-74.821884,41.293838],[-74.815703,41.296151],[-74.812033,41.298157],[-74.806858,41.303155],[-74.792558,41.310628],[-74.791991,41.311639],[-74.792377,41.314088],[-74.795822,41.318516],[-74.79504,41.320407],[-74.792116,41.322465],[-74.789095,41.323281],[-74.781584,41.324229],[-74.774887,41.324326],[-74.771588,41.325079],[-74.766714,41.328558],[-74.763499,41.331568],[-74.760325,41.340325],[-74.755971,41.344953],[-74.753239,41.346122],[-74.735622,41.346518],[-74.730373,41.345983],[-74.720923,41.347384],[-74.708514,41.352734],[-74.704429,41.354043],[-74.700595,41.354553],[-74.694914,41.357423],[-74.641544,41.332879],[-74.607348,41.317774],[-74.499603,41.267344],[-74.457584,41.248225],[-74.378898,41.208994],[-74.365849,41.202999],[-74.320995,41.182394],[-74.301994,41.172594],[-74.234473,41.142883],[-74.21321,41.134192],[-74.18239,41.121595],[-74.096786,41.083796],[-74.092486,41.081896],[-74.041054,41.059088],[-74.041049,41.059086],[-73.91188,41.001297],[-73.907054,40.998476],[-73.90501,40.997591],[-73.90268,40.997297],[-73.893979,40.997197],[-73.896479,40.981697],[-73.90728,40.951498],[-73.91558,40.924898],[-73.91768,40.919498],[-73.917905,40.917577],[-73.918405,40.917477],[-73.919705,40.913478],[-73.926758,40.895355],[-73.929006,40.889578],[-73.933406,40.882078],[-73.933408,40.882075],[-73.938081,40.874699],[-73.948281,40.858399],[-73.953982,40.848],[-73.963182,40.8269],[-73.968082,40.8207],[-73.984822,40.797444],[-73.991568,40.788074],[-74.000223,40.77605],[-74.009184,40.763601],[-74.013784,40.756601],[-74.021117,40.727417],[-74.024543,40.709436],[-74.038538,40.710741],[-74.051185,40.695802],[-74.069885,40.684502],[-74.082786,40.673702],[-74.089986,40.659903],[-74.087397,40.653607],[-74.094086,40.649703],[-74.143387,40.641903],[-74.161397,40.644092],[-74.181083,40.646484],[-74.186027,40.646076],[-74.189106,40.643832],[-74.202223,40.631053],[-74.206731,40.594569],[-74.208988,40.576304],[-74.214788,40.560604],[-74.218189,40.557204],[-74.231589,40.559204],[-74.248641,40.549601],[-74.251441,40.542301],[-74.246237,40.520963],[-74.26829,40.499205],[-74.269998,40.495014],[-74.27269,40.488405],[-74.26759,40.471806],[-74.261889,40.464706],[-74.236689,40.457806],[-74.225035,40.453301],[-74.224047,40.452919],[-74.222959,40.452499],[-74.209788,40.447407],[-74.206188,40.440707],[-74.206419,40.438789],[-74.208655,40.43752],[-74.207205,40.435434],[-74.202128,40.43894],[-74.193908,40.440995],[-74.191309,40.44299],[-74.187787,40.447407],[-74.174787,40.455607],[-74.174893,40.454491],[-74.175074,40.449144],[-74.176842,40.44774],[-74.175346,40.446607],[-74.169977,40.45064],[-74.167009,40.448737],[-74.166193,40.447128],[-74.164029,40.448312],[-74.163314,40.448424],[-74.157787,40.446607],[-74.153611,40.447647],[-74.152686,40.447344],[-74.151952,40.448062],[-74.142886,40.450407],[-74.139886,40.453407],[-74.138415,40.454468],[-74.135823,40.455196],[-74.133727,40.454672],[-74.131135,40.453245],[-74.127466,40.451061],[-74.124692,40.44958],[-74.122327,40.448258],[-74.116863,40.446069],[-74.088085,40.438407],[-74.076185,40.433707],[-74.058984,40.422708],[-74.047884,40.418908],[-74.006383,40.411108],[-73.998505,40.410911],[-73.995486,40.419472],[-73.991682,40.442908],[-74.006077,40.464625],[-74.017783,40.472207],[-74.017917,40.474338],[-74.014031,40.476471],[-74.0071,40.475298],[-73.995683,40.468707],[-73.978282,40.440208],[-73.976982,40.408508],[-73.971381,40.371709],[-73.971381,40.34801],[-73.977442,40.299373],[-73.981681,40.279411],[-73.993292,40.237669],[-74.016017,40.166914],[-74.030181,40.122814],[-74.03408,40.103115],[-74.031861,40.101047],[-74.031318,40.100541],[-74.033546,40.099518],[-74.039421,40.081437],[-74.058798,40.001244],[-74.064135,39.979157],[-74.077247,39.910991],[-74.090945,39.799978],[-74.097071,39.767847],[-74.096906,39.76303],[-74.09892,39.759538],[-74.101443,39.756173],[-74.113655,39.740719],[-74.141733,39.689435],[-74.190974,39.625118],[-74.240506,39.554911],[-74.249043,39.547994],[-74.27737,39.514064],[-74.291585,39.507705],[-74.311037,39.506715],[-74.312451,39.499869],[-74.313689,39.493874],[-74.308344,39.483945],[-74.304778,39.482945],[-74.302184,39.478935],[-74.304343,39.471445],[-74.334804,39.432001],[-74.36699,39.402017],[-74.406692,39.377516],[-74.406792,39.373916],[-74.408237,39.365071],[-74.412692,39.360816],[-74.459894,39.345016],[-74.521797,39.313816],[-74.541443,39.300245],[-74.551151,39.293539],[-74.553439,39.286915],[-74.560957,39.278677],[-74.581008,39.270819],[-74.597921,39.258851],[-74.614481,39.244659],[-74.636306,39.220834],[-74.646595,39.212002],[-74.651443,39.198578],[-74.67143,39.179802],[-74.714341,39.119804],[-74.71532,39.116893],[-74.714135,39.114631],[-74.704409,39.107858],[-74.705876,39.102937],[-74.738316,39.074727],[-74.778777,39.023073],[-74.786356,39.000113],[-74.792723,38.991991],[-74.807917,38.985948],[-74.819354,38.979402],[-74.850748,38.954538],[-74.864458,38.94041],[-74.865198,38.941439],[-74.870497,38.943543],[-74.882309,38.941759],[-74.90705,38.931994],[-74.920414,38.929136],[-74.933571,38.928519],[-74.963463,38.931194],[-74.967274,38.933413],[-74.971995,38.94037],[-74.955363,39.001262],[-74.94947,39.015637],[-74.93832,39.035185],[-74.903664,39.087437],[-74.897784,39.098811],[-74.892547,39.113183],[-74.885914,39.143627],[-74.887167,39.158825],[-74.905181,39.174945],[-74.914936,39.177553],[-74.962382,39.190238],[-74.976266,39.192271],[-74.998002,39.191253],[-75.026179,39.193621],[-75.028885,39.19456],[-75.027824,39.199482],[-75.023586,39.202594],[-75.023437,39.204791],[-75.026376,39.20985],[-75.035672,39.215415],[-75.041663,39.215511],[-75.047797,39.211702],[-75.052326,39.213609],[-75.062506,39.213564],[-75.086395,39.208159],[-75.101019,39.211657],[-75.107286,39.211403],[-75.114748,39.207554],[-75.12707,39.189766],[-75.136548,39.179425],[-75.139136,39.180021],[-75.165979,39.201842],[-75.164798,39.216606],[-75.170444,39.234643],[-75.177506,39.242746],[-75.205857,39.262619],[-75.21251,39.262755],[-75.241639,39.274097],[-75.244056,39.27769],[-75.242881,39.280574],[-75.244357,39.2857],[-75.251806,39.299913],[-75.271629,39.304041],[-75.28262,39.299055],[-75.285333,39.292212],[-75.288898,39.289557],[-75.30601,39.301712],[-75.315201,39.310593],[-75.326754,39.332473],[-75.327463,39.33927],[-75.333743,39.345335],[-75.341969,39.348697],[-75.355558,39.347823],[-75.365016,39.341388],[-75.39003,39.358259],[-75.394331,39.363753],[-75.395181,39.371398],[-75.399304,39.37949],[-75.407294,39.381954],[-75.422099,39.386521],[-75.431803,39.391625],[-75.442393,39.402291],[-75.465212,39.43893],[-75.476279,39.438126],[-75.483572,39.440824],[-75.505672,39.452927],[-75.508383,39.459131],[-75.536431,39.460559],[-75.542894,39.470447],[-75.544368,39.479602],[-75.542693,39.496568],[-75.528088,39.498114],[-75.527141,39.500112],[-75.529368,39.501229],[-75.53014,39.505373],[-75.529978,39.510817],[-75.526654,39.526638],[-75.526787,39.53144],[-75.527676,39.535278],[-75.531575,39.536825],[-75.534014,39.540702],[-75.532342,39.54328],[-75.526003,39.548488],[-75.519026,39.555401],[-75.514756,39.562612],[-75.511932,39.567616],[-75.512732,39.578],[-75.515228,39.580752],[-75.519628,39.583248],[-75.521596,39.583088],[-75.525677,39.584048],[-75.531133,39.587984],[-75.534477,39.590384],[-75.537213,39.592944],[-75.53954,39.594251],[-75.539949,39.594384],[-75.543965,39.596],[-75.545405,39.596784],[-75.553502,39.602],[-75.55587,39.605824],[-75.556734,39.606688],[-75.557502,39.609184],[-75.556878,39.612144],[-75.558446,39.617296],[-75.559614,39.624208],[-75.559102,39.629056],[-75.559446,39.629812],[-75.556246,39.634912],[-75.550645,39.637912],[-75.547197,39.640528],[-75.542045,39.646012],[-75.539245,39.646112],[-75.535144,39.647212],[-75.526744,39.655113],[-75.526844,39.655713],[-75.526344,39.656413],[-75.522343,39.660813],[-75.518343,39.663913],[-75.514643,39.668613],[-75.511743,39.674313],[-75.509342,39.685313],[-75.509742,39.686113],[-75.509042,39.694513],[-75.507162,39.696961],[-75.504042,39.698313],[-75.496241,39.701413],[-75.491341,39.711113],[-75.488553,39.714833],[-75.485241,39.715813],[-75.483141,39.715513],[-75.481741,39.714546],[-75.47894,39.713813],[-75.47764,39.715013],[-75.476888,39.718337],[-75.477432,39.720561],[-75.47724,39.724713],[-75.47544,39.728713],[-75.475384,39.731057],[-75.474168,39.735473],[-75.469239,39.743613],[-75.466263,39.750737],[-75.466249,39.750769],[-75.463039,39.758313],[-75.463339,39.761213],[-75.459439,39.765813],[-75.452339,39.769013],[-75.447339,39.773313],[-75.448135,39.773969],[-75.448639,39.774113],[-75.440909,39.780831],[-75.437938,39.783413],[-75.405337,39.796213],[-75.415041,39.801786],[-75.403737,39.807512],[-75.390536,39.815312],[-75.389764,39.815819],[-75.371835,39.827612],[-75.3544,39.839917],[-75.341765,39.846082],[-75.330433,39.849012],[-75.323232,39.849812],[-75.309674,39.850179],[-75.293376,39.848782],[-75.271159,39.84944],[-75.243431,39.854597],[-75.235026,39.856613],[-75.221025,39.861113],[-75.210876,39.865709]]]},\"properties\":{\"name\":\"New Jersey\",\"nation\":\"USA \"}}]}","volume":"17","issue":"6","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2020-03-19","publicationStatus":"PW","contributors":{"authors":[{"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":785101,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":785102,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blazer, Vicki S. 0000-0001-6647-9614 vblazer@usgs.gov","orcid":"https://orcid.org/0000-0001-6647-9614","contributorId":150384,"corporation":false,"usgs":true,"family":"Blazer","given":"Vicki S.","email":"vblazer@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":785103,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Braham, Ryan P. 0000-0002-2102-0989","orcid":"https://orcid.org/0000-0002-2102-0989","contributorId":204542,"corporation":false,"usgs":true,"family":"Braham","given":"Ryan","email":"","middleInitial":"P.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":785104,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sanders, Lakyn R.","contributorId":213904,"corporation":false,"usgs":false,"family":"Sanders","given":"Lakyn R.","affiliations":[{"id":38927,"text":"Natural Systems Analyst, Inc.","active":true,"usgs":false}],"preferred":false,"id":785105,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Boetsma, Anna 0000-0002-4142-8199","orcid":"https://orcid.org/0000-0002-4142-8199","contributorId":223460,"corporation":false,"usgs":true,"family":"Boetsma","given":"Anna","email":"","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":785106,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Procopio, Nick","contributorId":223461,"corporation":false,"usgs":false,"family":"Procopio","given":"Nick","email":"","affiliations":[{"id":40718,"text":"New Jersey Department of Environmental Protection","active":true,"usgs":false}],"preferred":false,"id":785107,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Goodrow, Sandra","contributorId":223462,"corporation":false,"usgs":false,"family":"Goodrow","given":"Sandra","email":"","affiliations":[{"id":40718,"text":"New Jersey Department of Environmental Protection","active":true,"usgs":false}],"preferred":false,"id":785108,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Buchanan, Gary","contributorId":223463,"corporation":false,"usgs":false,"family":"Buchanan","given":"Gary","email":"","affiliations":[{"id":40718,"text":"New Jersey Department of Environmental Protection","active":true,"usgs":false}],"preferred":false,"id":785109,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Millemann, Daniel","contributorId":223464,"corporation":false,"usgs":false,"family":"Millemann","given":"Daniel","email":"","affiliations":[{"id":40718,"text":"New Jersey Department of Environmental Protection","active":true,"usgs":false}],"preferred":false,"id":785110,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Ruppel, Bruce","contributorId":223465,"corporation":false,"usgs":false,"family":"Ruppel","given":"Bruce","email":"","affiliations":[{"id":40718,"text":"New Jersey Department of Environmental Protection","active":true,"usgs":false}],"preferred":false,"id":785111,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Vile, John","contributorId":223466,"corporation":false,"usgs":false,"family":"Vile","given":"John","email":"","affiliations":[{"id":40718,"text":"New Jersey Department of Environmental Protection","active":true,"usgs":false}],"preferred":false,"id":785112,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Henning, Brian","contributorId":223467,"corporation":false,"usgs":false,"family":"Henning","given":"Brian","email":"","affiliations":[{"id":40718,"text":"New Jersey Department of Environmental Protection","active":true,"usgs":false}],"preferred":false,"id":785113,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Abatemarco, John","contributorId":223487,"corporation":false,"usgs":false,"family":"Abatemarco","given":"John","email":"","affiliations":[],"preferred":false,"id":785200,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70211978,"text":"70211978 - 2020 - A critical review on the potential impacts of neonicotinoid insecticide use: Current knowledge of environmental fate, toxicity, and implications for human health","interactions":[],"lastModifiedDate":"2020-08-12T22:51:49.456224","indexId":"70211978","displayToPublicDate":"2020-03-19T17:41:44","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1566,"text":"Environmental Science: Processes and Impacts","active":true,"publicationSubtype":{"id":10}},"title":"A critical review on the potential impacts of neonicotinoid insecticide use: Current knowledge of environmental fate, toxicity, and implications for human health","docAbstract":"

Neonicotinoid insecticides are widely used in both urban and agricultural settings around the world. Historically, neonicotinoid insecticides have been viewed as ideal replacements for more toxic compounds, like organophosphates, due in part to their perceived limited potential to affect the environment and human health. This critical review investigates the environmental fate and toxicity of neonicotinoids and their metabolites and the potential risks associated with exposure. Neonicotinoids are found to be ubiquitous in the environment, drinking water, and food, with low-level exposure commonly documented below acceptable daily intake standards. Available toxicological data from animal studies indicate possible genotoxicity, cytotoxicity, impaired immune function, and reduced growth and reproductive success at low concentrations, while limited data from ecological or cross-sectional epidemiological studies have identified acute and chronic health effects ranging from acute respiratory, cardiovascular, and neurological symptoms to oxidative genetic damage and birth defects. Due to the heavy use of neonicotinoids and potential for cumulative chronic exposure, these insecticides represent novel risks and necessitate further study to fully understand their risks to humans.

","language":"English","publisher":"Royal Society of Chemistry","doi":"10.1039/C9EM00586B","usgsCitation":"Lehmler, H., Kolpin, D.W., Hladik, M., Vargo, J.D., Schilling, K.E., LeFevre, G.H., Peeples, T.L., Poch, M.C., LaDuca, L.E., Cwiertny, D.M., and Field, R.W., 2020, A critical review on the potential impacts of neonicotinoid insecticide use: Current knowledge of environmental fate, toxicity, and implications for human health: Environmental Science: Processes and Impacts, v. 22, p. 1315-1346, https://doi.org/10.1039/C9EM00586B.","productDescription":"32 p.","startPage":"1315","endPage":"1346","ipdsId":"IP-116942","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":487009,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11755762","text":"External Repository"},{"id":377457,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lehmler, Hans-Joachim","contributorId":238108,"corporation":false,"usgs":false,"family":"Lehmler","given":"Hans-Joachim","email":"","affiliations":[],"preferred":false,"id":796064,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kolpin, Dana W. 0000-0002-3529-6505 dwkolpin@usgs.gov","orcid":"https://orcid.org/0000-0002-3529-6505","contributorId":1239,"corporation":false,"usgs":true,"family":"Kolpin","given":"Dana","email":"dwkolpin@usgs.gov","middleInitial":"W.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":796065,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hladik, Michelle L. 0000-0002-0891-2712 mhladik@usgs.gov","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":201293,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle L.","email":"mhladik@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":796066,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vargo, John D.","contributorId":238109,"corporation":false,"usgs":false,"family":"Vargo","given":"John","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":796067,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schilling, Keith E.","contributorId":106429,"corporation":false,"usgs":false,"family":"Schilling","given":"Keith","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":796068,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"LeFevre, Gregory H.","contributorId":211880,"corporation":false,"usgs":false,"family":"LeFevre","given":"Gregory","email":"","middleInitial":"H.","affiliations":[{"id":6768,"text":"University of Iowa","active":true,"usgs":false}],"preferred":true,"id":796069,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Peeples, Tonya L.","contributorId":238110,"corporation":false,"usgs":false,"family":"Peeples","given":"Tonya","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":796070,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Poch, Matthew C.","contributorId":238111,"corporation":false,"usgs":false,"family":"Poch","given":"Matthew","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":796071,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"LaDuca, Lauren E.","contributorId":238112,"corporation":false,"usgs":false,"family":"LaDuca","given":"Lauren","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":796072,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Cwiertny, David M.","contributorId":190557,"corporation":false,"usgs":false,"family":"Cwiertny","given":"David","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":796073,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Field, R. William","contributorId":238113,"corporation":false,"usgs":false,"family":"Field","given":"R.","email":"","middleInitial":"William","affiliations":[],"preferred":false,"id":796074,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70209339,"text":"70209339 - 2020 - Contaminant subsidies to riparian food webs in Appalachian streams impacted by mountaintop removal coal mining","interactions":[],"lastModifiedDate":"2020-05-05T17:16:53.604546","indexId":"70209339","displayToPublicDate":"2020-03-19T15:27:07","publicationYear":"2020","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":"Contaminant subsidies to riparian food webs in Appalachian streams impacted by mountaintop removal coal mining","docAbstract":"Selenium is highly elevated in Appalachian streams and stream organisms that receive alkaline mine drainage from mountaintop removal coal mining compared to unimpacted streams in the region. Adult aquatic insects can be important vectors of waterborne contaminants to riparian food webs, yet pathways of Se transport and exposure of riparian organisms are poorly characterized. We investigated Se concentrations in stream and riparian organisms to determine whether mining extent increased Se uptake in stream biofilms and insects and if these insects were effective Se biovectors to riparian spiders. Biofilm Se concentration increased (p = 0.006) with mining extent, reaching a maximum value of 16.5 μg/g of dw. Insect and spider Se increased with biofilm Se (p = 0.004, p = 0.003), reaching 95 and 26 μg/g of dw, respectively, in mining-impacted streams. Adult insect biomass was not related to mining extent or Se concentrations in biofilm. Even though Se concentrations in aquatic insects were significantly and positively related to mining extent, aquatic insect Se flux was not associated with mining extent because the mass of emerging insects did not change appreciably over the mining gradient. Insect and spider Se concentrations were among the highest reported in the literature, regularly exceeding the bird Se dietary risk threshold of 5 μg/g of dw. Risks of Se exposure and toxicity related to mining are thus not constrained to aquatic systems but extend to terrestrial habitats and food webs.","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.9b05907","usgsCitation":"Naslund, L.C., Gerson, J.R., Brooks, A.C., Walters, D., and Bernhardt, E.S., 2020, Contaminant subsidies to riparian food webs in Appalachian streams impacted by mountaintop removal coal mining: Environmental Science & Technology, v. 54, no. 7, p. 3951-3959, https://doi.org/10.1021/acs.est.9b05907.","productDescription":"9 p.","startPage":"3951","endPage":"3959","ipdsId":"IP-112482","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":457323,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.est.9b05907","text":"Publisher Index Page"},{"id":373727,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"54","issue":"7","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2020-03-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Naslund, Laura C.","contributorId":223770,"corporation":false,"usgs":false,"family":"Naslund","given":"Laura","email":"","middleInitial":"C.","affiliations":[{"id":12643,"text":"Duke University","active":true,"usgs":false}],"preferred":false,"id":786206,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gerson, Jacqueline R.","contributorId":198378,"corporation":false,"usgs":false,"family":"Gerson","given":"Jacqueline","email":"","middleInitial":"R.","affiliations":[{"id":27331,"text":"Duke University, Durham, NC","active":true,"usgs":false},{"id":5082,"text":"Syracuse University","active":true,"usgs":false}],"preferred":false,"id":786207,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brooks, Alexander C.","contributorId":223771,"corporation":false,"usgs":false,"family":"Brooks","given":"Alexander","email":"","middleInitial":"C.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":786208,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walters, David 0000-0002-4237-2158","orcid":"https://orcid.org/0000-0002-4237-2158","contributorId":205915,"corporation":false,"usgs":true,"family":"Walters","given":"David","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":786205,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bernhardt, Emily S.","contributorId":173736,"corporation":false,"usgs":false,"family":"Bernhardt","given":"Emily","email":"","middleInitial":"S.","affiliations":[{"id":27285,"text":"Duke Univerisity","active":true,"usgs":false}],"preferred":false,"id":786209,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70210163,"text":"70210163 - 2020 - A within-season approach for detecting early crop stage of corn and soybean using high temporal and spatial resolution imagery","interactions":[],"lastModifiedDate":"2020-05-19T15:05:04.146927","indexId":"70210163","displayToPublicDate":"2020-03-19T09:58:05","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"A within-season approach for detecting early crop stage of corn and soybean using high temporal and spatial resolution imagery","docAbstract":"Crop emergence is a critical stage for crop development and crop growth modeling. Mapping crop emergence using remote sensing data is challenging. Previous remote sensing phenology algorithms showed that crop stages could be detected around the V3-V4 (3 to 4 established leaves) vegetative stage. Traditional approaches have a strong assumption regarding the temporal evolution of plant growth and normally require a complete growth period of observations to define seasonal changes. Most approaches were not designed for the within-season mapping in the early growing season. In the current paper, we developed a new within-season emergence (WISE) approach to mapping crop green-up date using satellite observations during early growth stages. The approach was first optimized using high spatiotemporal resolution (10 m, 2 day revisit) imagery from the Vegetation and Environment monitoring New MicroSatellite (VENµS) research mission, and assessed using ground observations of early crop growth stages (emergence VE and one leaf V1 stages for corn, and emergence VE and unifoliolate VC stages for soybeans) collected over the Beltsville Agricultural Research Center (BARC) experimental fields in Beltsville, MD during the 2019 growing season. Results show that early crop growth stages can be reliably detected at sub-field scale about two weeks after crop emergence. The remote sensing green-up dates were about 4-5 days after crop emergence on average. Coefficients of determination (R2) between green-up dates and the mid-point dates of the early growth stages were above 0.90. The mean absolute differences, standard deviations, and root mean square errors comparing to the early growth stage mid-point dates were within six days. The maximum differences were within ±10 days across all fields. The WISE approach was assessed using operational Sentinel-2 data (10 m, 5 day revisit) in BARC. The detected green-up dates from Sentinel-2 were found close to VENµS results. Some fields were not detected due to the lack of observations during emergence dates. For independent evaluation, the WISE approach was applied over an agricultural watershed on the Maryland Eastern Shore using both VENµS and the harmonized Landsat and Sentinel-2 (HLS) data (30 m, 3-4 day revisit). The green-up dates were compared with crop progress reports of crop emergence dates from the National Agricultural Statistics Service (NASS) at the state-level. The WISE -detected green-up dates at the regional scale are within VE stage ranges but slightly earlier than NASS crop progress reports at the state-level. The WISE approach uses remote sensing observations during the early crop growth stages and has potential for operational application within the season using Sentinel-2 and HLS data.","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2020.111752","usgsCitation":"Gao, F., Anderson, M., Daughtry, C.S., Karnieli, A., Hively, W.D., and Kustas, W.P., 2020, A within-season approach for detecting early crop stage of corn and soybean using high temporal and spatial resolution imagery: Remote Sensing of Environment, v. 242, 111752, 19 p., https://doi.org/10.1016/j.rse.2020.111752.","productDescription":"111752, 19 p.","ipdsId":"IP-113523","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":457324,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rse.2020.111752","text":"Publisher Index Page"},{"id":374923,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland","otherGeospatial":"Beltsville Agricultural Research Center (BARC), Choptank River watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.94412231445312,\n 38.756225137839074\n ],\n [\n -76.38381958007812,\n 38.756225137839074\n ],\n [\n -76.38381958007812,\n 39.29392267616436\n ],\n [\n -76.94412231445312,\n 39.29392267616436\n ],\n [\n -76.94412231445312,\n 38.756225137839074\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"242","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gao, Feng","contributorId":197297,"corporation":false,"usgs":false,"family":"Gao","given":"Feng","affiliations":[],"preferred":false,"id":789358,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Martha","contributorId":210925,"corporation":false,"usgs":false,"family":"Anderson","given":"Martha","affiliations":[],"preferred":false,"id":789359,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Daughtry, Craig S. T.","contributorId":211093,"corporation":false,"usgs":false,"family":"Daughtry","given":"Craig","email":"","middleInitial":"S. T.","affiliations":[{"id":38179,"text":"USDA Agricultural Research Service, Hydrology and Remote Sensing Laboratory","active":true,"usgs":false}],"preferred":false,"id":789360,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Karnieli, Arnon 0000-0001-8065-9793","orcid":"https://orcid.org/0000-0001-8065-9793","contributorId":224743,"corporation":false,"usgs":false,"family":"Karnieli","given":"Arnon","email":"","affiliations":[{"id":40930,"text":"Jacob Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, Israel","active":true,"usgs":false}],"preferred":false,"id":789361,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hively, W. Dean 0000-0002-5383-8064","orcid":"https://orcid.org/0000-0002-5383-8064","contributorId":201565,"corporation":false,"usgs":true,"family":"Hively","given":"W.","email":"","middleInitial":"Dean","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":789362,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kustas, William P.","contributorId":29962,"corporation":false,"usgs":false,"family":"Kustas","given":"William","email":"","middleInitial":"P.","affiliations":[{"id":6622,"text":"US Department of Agriculture","active":true,"usgs":false}],"preferred":false,"id":789363,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ]}