{"pageNumber":"113","pageRowStart":"2800","pageSize":"25","recordCount":68788,"records":[{"id":70242121,"text":"70242121 - 2023 - Assessing stormwater control measure inventories from 23 cities in the United States","interactions":[],"lastModifiedDate":"2023-05-01T16:05:26.584591","indexId":"70242121","displayToPublicDate":"2023-03-24T08:50:06","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":13788,"text":"Environmental Research: Infrastructure and Sustainability","active":true,"publicationSubtype":{"id":10}},"title":"Assessing stormwater control measure inventories from 23 cities in the United States","docAbstract":"Since the 1987 Clean Water Act Section 319 amendment, the United States Government has required and funded the development of nonpoint source pollution programs with about $5 billion dollars. Despite these expenditures, nonpoint source pollution from urban watersheds is still a significant cause of impaired waters in the United States. Urban stormwater management has rapidly evolved over recent decades with decision-making made at a local or city-scale. To address the need for a better understanding of how stormwater management has been implemented in different cities, we used stormwater control measure (SCM) network data from 23 United States cities and assessed what physical, climatic, socioeconomic, and/or regulatory explanatory variables, if any, are related to SCM assemblages at the municipal scale. Spearman's correlation and Wilcoxon rank-sum tests were used to investigate relationships between explanatory variables and SCM types and assemblages of SCMs in each city. The results from these analyses showed that for the cities assessed, physical explanatory variables (e.g., impervious percentage and depth to water table) explained the greatest portion of variability in SCM assemblages. Additionally, it was found that cities with combined sewers favored filters, swales and strips, and infiltrators over basins, and cities that are under consent decrees with the EPA tended to include filters more frequently in their SCM inventories. Future work can build on the SCM assemblages used in this study and their explanatory variables to better understand the differences and drivers of differences in SCM effectiveness across cities, improve watershed modeling, and investigate city- and watershed-scale impacts of SCM assemblages","language":"English","publisher":"IOP Science","doi":"10.1088/2634-4505/acc759","usgsCitation":"Choat, B., Pulido, A., Bhaskar, A.S., Hale, R., Zhang, H.X., Meixner, T., McPhillips, L., Hopkins, K.G., Cherrier, J., and Cheng, C., 2023, Assessing stormwater control measure inventories from 23 cities in the United States: Environmental Research: Infrastructure and Sustainability, v. 3, 025003, 15 p., https://doi.org/10.1088/2634-4505/acc759.","productDescription":"025003, 15 p.","ipdsId":"IP-127552","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":444091,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/2634-4505/acc759","text":"Publisher Index Page"},{"id":415415,"rank":1,"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 \"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}","volume":"3","noUsgsAuthors":false,"publicationDate":"2023-04-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Choat, Benjamin","contributorId":270774,"corporation":false,"usgs":false,"family":"Choat","given":"Benjamin","email":"","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":868941,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pulido, Amber","contributorId":270775,"corporation":false,"usgs":false,"family":"Pulido","given":"Amber","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":868942,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bhaskar, Aditi S.","contributorId":199824,"corporation":false,"usgs":false,"family":"Bhaskar","given":"Aditi","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":868943,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hale, Rebecca 0000-0002-3552-3691","orcid":"https://orcid.org/0000-0002-3552-3691","contributorId":195753,"corporation":false,"usgs":false,"family":"Hale","given":"Rebecca","email":"","affiliations":[{"id":12865,"text":"Smithsonian Institute","active":true,"usgs":false}],"preferred":false,"id":868944,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zhang, Harry X.","contributorId":270776,"corporation":false,"usgs":false,"family":"Zhang","given":"Harry","email":"","middleInitial":"X.","affiliations":[{"id":56214,"text":"The Water Research Foundation","active":true,"usgs":false}],"preferred":false,"id":868945,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Meixner, Thomas","contributorId":22653,"corporation":false,"usgs":false,"family":"Meixner","given":"Thomas","email":"","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":868946,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McPhillips, Lauren","contributorId":270777,"corporation":false,"usgs":false,"family":"McPhillips","given":"Lauren","affiliations":[{"id":36985,"text":"Penn State University","active":true,"usgs":false}],"preferred":false,"id":868947,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hopkins, Kristina G. 0000-0003-1699-9384 khopkins@usgs.gov","orcid":"https://orcid.org/0000-0003-1699-9384","contributorId":195604,"corporation":false,"usgs":true,"family":"Hopkins","given":"Kristina","email":"khopkins@usgs.gov","middleInitial":"G.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":868948,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Cherrier, Jennifer","contributorId":270778,"corporation":false,"usgs":false,"family":"Cherrier","given":"Jennifer","email":"","affiliations":[{"id":56215,"text":"CUNY-Brooklyn College","active":true,"usgs":false}],"preferred":false,"id":868949,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Cheng, Chingwen","contributorId":270779,"corporation":false,"usgs":false,"family":"Cheng","given":"Chingwen","email":"","affiliations":[{"id":56216,"text":"Arizona State University, Phoenix","active":true,"usgs":false}],"preferred":false,"id":868950,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70241851,"text":"70241851 - 2023 - Providing a framework for seagrass mapping in United States coastal ecosystems using high spatial resolution satellite imagery","interactions":[],"lastModifiedDate":"2023-03-29T11:46:25.070962","indexId":"70241851","displayToPublicDate":"2023-03-24T06:38:33","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Providing a framework for seagrass mapping in United States coastal ecosystems using high spatial resolution satellite imagery","docAbstract":"

Seagrasses have been widely recognized for their ecosystem services, but traditional seagrass monitoring approaches emphasizing ground and aerial observations are costly, time-consuming, and lack standardization across datasets. This study leveraged satellite imagery from Maxar's WorldView-2 and WorldView-3 high spatial resolution, commercial satellite platforms to provide a consistent classification approach for monitoring seagrass at eleven study areas across the continental United States, representing geographically, ecologically, and climatically diverse regions. A single satellite image was selected at each of the eleven study areas to correspond temporally to reference data representing seagrass coverage and was classified into four general classes: land, seagrass, no seagrass, and no data. Satellite-derived seagrass coverage was then compared to reference data using either balanced agreement, the Mann-Whitney U test, or the Kruskal-Wallis test, depending on the format of the reference data used for comparison. Balanced agreement ranged from 58% to 86%, with better agreement between reference- and satellite-indicated seagrass absence (specificity ranged from 88% to 100%) than between reference- and satellite-indicated seagrass presence (sensitivity ranged from 17% to 73%). Results of the Mann-Whitney U and Kruskal-Wallis tests demonstrated that satellite-indicated seagrass percentage cover had moderate to large correlations with reference-indicated seagrass percentage cover, indicative of moderate to strong agreement between datasets. Satellite classification performed best in areas of dense, continuous seagrass compared to areas of sparse, discontinuous seagrass and provided a suitable spatial representation of seagrass distribution within each study area. This study demonstrates that the same methods can be applied across scenes spanning varying seagrass bioregions, atmospheric conditions, and optical water types, which is a significant step toward developing a consistent, operational approach for mapping seagrass coverage at the national and global scales. Accompanying this manuscript are instructional videos describing the processing workflow, including data acquisition, data processing, and satellite image classification. These instructional videos may serve as a management tool to complement field- and aerial-based mapping efforts for monitoring seagrass ecosystems.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2023.117669","usgsCitation":"Coffer, M., Graybill, D., Whitman, P., Schaeffer, B., Salls, W., Zimmerman, R.C., Hill, V., Lebrasse, M.C., Li, J., Darryl, K., Kaldy, J., Colarusso, P., Raulerson, G., Ward, D.H., and Kenworthy, J., 2023, Providing a framework for seagrass mapping in United States coastal ecosystems using high spatial resolution satellite imagery: Journal of Environmental Management, v. 337, 117669, 14 p., https://doi.org/10.1016/j.jenvman.2023.117669.","productDescription":"117669, 14 p.","ipdsId":"IP-142192","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":444098,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jenvman.2023.117669","text":"Publisher Index Page"},{"id":414882,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska, California, Delaware, Florida, Maine, Maryland, Massachusetts, North Carolina, Texas, Virginia, Washington","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.58435844403162,\n 37.451100878742764\n ],\n [\n -122.58435844403162,\n 36.1846693875799\n ],\n [\n -121.35388969403151,\n 36.1846693875799\n ],\n [\n -121.35388969403151,\n 37.451100878742764\n ],\n [\n -122.58435844403162,\n 37.451100878742764\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -123.98950075584295,\n 49.22029548376605\n ],\n [\n -123.98950075584295,\n 48.00003825411642\n ],\n [\n -122.05590700584304,\n 48.00003825411642\n ],\n [\n -122.05590700584304,\n 49.22029548376605\n ],\n [\n -123.98950075584295,\n 49.22029548376605\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -161.40583503583778,\n 56.464545893842825\n ],\n [\n -161.40583503583778,\n 55.00903485927853\n ],\n [\n -159.1304479832489,\n 55.00903485927853\n ],\n [\n -159.1304479832489,\n 56.464545893842825\n ],\n [\n -161.40583503583778,\n 56.464545893842825\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -97.98224592508173,\n 26.89569686515665\n ],\n [\n -97.98224592508173,\n 25.410352680014867\n ],\n [\n -96.79283905668314,\n 25.410352680014867\n ],\n [\n -96.79283905668314,\n 26.89569686515665\n ],\n [\n -97.98224592508173,\n 26.89569686515665\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -82.90780670168171,\n 28.27071295086668\n ],\n [\n -82.90780670168171,\n 27.516586369603843\n ],\n [\n -82.20967658327355,\n 27.516586369603843\n ],\n [\n -82.20967658327355,\n 28.27071295086668\n ],\n [\n -82.90780670168171,\n 28.27071295086668\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -77.30657955478041,\n 34.560673794624975\n ],\n [\n -75.60003926533899,\n 34.560673794624975\n ],\n [\n -75.60003926533899,\n 35.93317633904158\n ],\n [\n -77.30657955478041,\n 35.93317633904158\n ],\n [\n -77.30657955478041,\n 34.560673794624975\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -76.16115634742104,\n 36.795449009701215\n ],\n [\n -76.16115634742104,\n 37.36786694827401\n ],\n [\n -77.04028316319378,\n 37.36786694827401\n ],\n [\n -77.04028316319378,\n 36.795449009701215\n ],\n [\n -76.16115634742104,\n 36.795449009701215\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -75.43655043264386,\n 37.93999107629348\n ],\n [\n -74.94527368265341,\n 37.93999107629348\n ],\n [\n -74.94527368265341,\n 38.458144658408\n ],\n [\n -75.43655043264386,\n 38.458144658408\n ],\n [\n -75.43655043264386,\n 37.93999107629348\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -76.62488088179565,\n 38.724333433297375\n ],\n [\n -75.74575406602219,\n 38.724333433297375\n ],\n [\n -75.74575406602219,\n 39.66613439968964\n ],\n [\n -76.62488088179565,\n 39.66613439968964\n ],\n [\n -76.62488088179565,\n 38.724333433297375\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -71.081609239824,\n 42.496305851743216\n ],\n [\n -71.081609239824,\n 41.56484098474775\n ],\n [\n -69.86634570037302,\n 41.56484098474775\n ],\n [\n -69.86634570037302,\n 42.496305851743216\n ],\n [\n -71.081609239824,\n 42.496305851743216\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -70.25915060134143,\n 43.41926889852647\n ],\n [\n -68.65603699610811,\n 43.41926889852647\n ],\n [\n -68.65603699610811,\n 44.64610746695888\n ],\n [\n -70.25915060134143,\n 44.64610746695888\n ],\n [\n -70.25915060134143,\n 43.41926889852647\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"337","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Coffer, Megan","contributorId":291790,"corporation":false,"usgs":false,"family":"Coffer","given":"Megan","affiliations":[{"id":62754,"text":"Oak Ridge Institute for Science and Education, U.S. Environmental Protection Agency,","active":true,"usgs":false}],"preferred":false,"id":867921,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Graybill, David","contributorId":303715,"corporation":false,"usgs":false,"family":"Graybill","given":"David","email":"","affiliations":[{"id":6784,"text":"US EPA","active":true,"usgs":false}],"preferred":false,"id":867922,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Whitman, Peter","contributorId":291787,"corporation":false,"usgs":false,"family":"Whitman","given":"Peter","email":"","affiliations":[{"id":62754,"text":"Oak Ridge Institute for Science and Education, U.S. Environmental Protection Agency,","active":true,"usgs":false}],"preferred":false,"id":867923,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schaeffer, Blake 0000-0001-9794-3977","orcid":"https://orcid.org/0000-0001-9794-3977","contributorId":245603,"corporation":false,"usgs":false,"family":"Schaeffer","given":"Blake","email":"","affiliations":[{"id":37230,"text":"EPA","active":true,"usgs":false}],"preferred":false,"id":867924,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Salls, Wilson","contributorId":291789,"corporation":false,"usgs":false,"family":"Salls","given":"Wilson","affiliations":[{"id":35215,"text":"Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":867925,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zimmerman, Richard C","contributorId":141157,"corporation":false,"usgs":false,"family":"Zimmerman","given":"Richard","email":"","middleInitial":"C","affiliations":[{"id":13417,"text":"Old Dominion University, VA","active":true,"usgs":false}],"preferred":false,"id":867926,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hill, Victoria","contributorId":303717,"corporation":false,"usgs":false,"family":"Hill","given":"Victoria","email":"","affiliations":[{"id":36518,"text":"Old Dominion University","active":true,"usgs":false}],"preferred":false,"id":867927,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lebrasse, Marie Cindy","contributorId":303719,"corporation":false,"usgs":false,"family":"Lebrasse","given":"Marie","email":"","middleInitial":"Cindy","affiliations":[{"id":6784,"text":"US EPA","active":true,"usgs":false}],"preferred":false,"id":867928,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Li, Jiang","contributorId":167428,"corporation":false,"usgs":false,"family":"Li","given":"Jiang","email":"","affiliations":[],"preferred":false,"id":867929,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Darryl, Keith","contributorId":303721,"corporation":false,"usgs":false,"family":"Darryl","given":"Keith","email":"","affiliations":[{"id":6784,"text":"US EPA","active":true,"usgs":false}],"preferred":false,"id":867930,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Kaldy, Jim","contributorId":303723,"corporation":false,"usgs":false,"family":"Kaldy","given":"Jim","affiliations":[{"id":6784,"text":"US EPA","active":true,"usgs":false}],"preferred":false,"id":867931,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Colarusso, Philip D.","contributorId":218700,"corporation":false,"usgs":false,"family":"Colarusso","given":"Philip D.","affiliations":[{"id":6784,"text":"US EPA","active":true,"usgs":false}],"preferred":false,"id":867932,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Raulerson, Gary","contributorId":303725,"corporation":false,"usgs":false,"family":"Raulerson","given":"Gary","email":"","affiliations":[{"id":65891,"text":"Largo, FL","active":true,"usgs":false}],"preferred":false,"id":867933,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Ward, David H. 0000-0002-5242-2526 dward@usgs.gov","orcid":"https://orcid.org/0000-0002-5242-2526","contributorId":3247,"corporation":false,"usgs":true,"family":"Ward","given":"David","email":"dward@usgs.gov","middleInitial":"H.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":867934,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Kenworthy, Judson","contributorId":303726,"corporation":false,"usgs":false,"family":"Kenworthy","given":"Judson","email":"","affiliations":[{"id":7043,"text":"University of North Carolina","active":true,"usgs":false}],"preferred":false,"id":867935,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}} ,{"id":70241888,"text":"70241888 - 2023 - Community and citizen science on the Elwha River: Past, present, and future","interactions":[],"lastModifiedDate":"2023-03-30T15:43:38.788585","indexId":"70241888","displayToPublicDate":"2023-03-23T10:28:19","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Community and citizen science on the Elwha River: Past, present, and future","docAbstract":"

This report reflects on the past, present, and potential future of community and citizen science (CCS) in the Elwha River watershed, with particular focus on the years before and after a major restoration event: the removal of two dams that had impacted the river system for a century. We ask: how does CCS feature in the Elwha story and how could it feature? We use the term CCS to reference the broad range of ways in which members of the public might participate in authentic science and monitoring processes, including students and both paid and unpaid interns: participants are individuals contributing to scientific projects without prior formal training in the topic.

Removal of the Elwha dams was a large-scale, complex project, and communities had an important role to play: the Lower Elwha Klallam Tribe (LEKT) and other local groups were a large part of the original drive to remove the dams. Some funding and policy requirements for monitoring are ending, but there is still much to learn from the changes happening in the Elwha, requiring ongoing research and monitoring. In 2022, the Elwha scientific community came together in a multifaceted effort called the “Elwha ScienceScape” to mark the ten-year anniversary of dam removal and to plan for future monitoring. One of ScienceScape’s priorities is expanding CCS efforts, and because the Elwha dam removal is a powerful international symbol of large-scale watershed restoration, ScienceScape is well-positioned to inform and emphasize the potential role of CCS in dam removal worldwide.

This report presents insights about Elwha CCS from an academic literature review and discussions with scientists and many others that have been working in the Elwha. We found that the history of CCS on the Elwha is important but understated, with few scientific papers acknowledging support by volunteers of various kinds. Recent and ongoing CCS projects on the Elwha tend to be focused on biological phenomena, and most are associated with educational opportunities (across many types of institutions) and paid internships. We also noted that most Elwha CCS projects required volunteers with particular pre-existing skill sets (e.g., botanical knowledge) or time to impart specialized training (e.g. boat use), leading many projects towards engagement with a smaller number of volunteers.

Partners working in the Elwha are considering a wide range of potential new CCS projects, and these ideas are in varying stages of development. Many new projects would broaden public involvement in terms of the opportunities available and increase the variety of focal topics for research and monitoring. This increased breadth is promising: there are indications that the local community’s interests also range widely, from fish recovery after dam removal to dam removal impacts on humans.

Elwha CCS projects have encountered some challenges and barriers, including the administrative burden of coordinating volunteers and managing liability concerns. But Elwha ScienceScape scientists are committed to the value that CCS brings both to the research itself as well as to those who participate in these projects. CCS can be a way to increase equity in science and engage people who would not otherwise participate in research, and in many cases the research simply wouldn’t be possible without their help. Support with project administration, volunteer management, and data management could help in expanding CCS efforts and broadening their inclusivity. More systematic tracking of CCS projects to assess how they contribute to research and to community and participant benefit could be helpful in establishing and maintaining a long-term CCS strategy in the Elwha.

","language":"English","publisher":"UC Davis Center for Community and Citizen Science","doi":"10.58076/C64W2B","usgsCitation":"Eitzel, M.V., Morley, S.A., Behymer, C., Meyer, R., Kagley, A., Ballard, H.L., Jadallah, C., Duda, J.J., Jennings, L., Miller, I.M., Stapleton, J., Shaffer, A., Miller, A., Shafroth, P., and Blackie, B., 2023, Community and citizen science on the Elwha River: Past, present, and future, 22 p., https://doi.org/10.58076/C64W2B.","productDescription":"22 p.","ipdsId":"IP-149069","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":414976,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wshington","otherGeospatial":"Elwha River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -123.62525330687644,\n 47.71956268467267\n ],\n [\n -123.42458708492356,\n 47.71956268467267\n ],\n [\n -123.42458708492356,\n 48.15187321706955\n ],\n [\n -123.62525330687644,\n 48.15187321706955\n ],\n [\n -123.62525330687644,\n 47.71956268467267\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Eitzel, M. V.","contributorId":303788,"corporation":false,"usgs":false,"family":"Eitzel","given":"M.","email":"","middleInitial":"V.","affiliations":[{"id":65906,"text":"Center for Community and Citizen Science, University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":868087,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morley, Sarah A.","contributorId":148956,"corporation":false,"usgs":false,"family":"Morley","given":"Sarah","email":"","middleInitial":"A.","affiliations":[{"id":17601,"text":"NOAA Fisheries, Northwest Fisheries Science Center, Seattle, WA","active":true,"usgs":false}],"preferred":false,"id":868088,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Behymer, Chelsea","contributorId":303789,"corporation":false,"usgs":false,"family":"Behymer","given":"Chelsea","email":"","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":868089,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Meyer, Ryan","contributorId":303790,"corporation":false,"usgs":false,"family":"Meyer","given":"Ryan","email":"","affiliations":[{"id":65906,"text":"Center for Community and Citizen Science, University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":868090,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kagley, Anna","contributorId":303791,"corporation":false,"usgs":false,"family":"Kagley","given":"Anna","email":"","affiliations":[{"id":65907,"text":"Northwest Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration","active":true,"usgs":false}],"preferred":false,"id":868091,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ballard, Heidi L.","contributorId":149651,"corporation":false,"usgs":false,"family":"Ballard","given":"Heidi","email":"","middleInitial":"L.","affiliations":[{"id":12711,"text":"UC Davis","active":true,"usgs":false}],"preferred":false,"id":868092,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jadallah, Christopher","contributorId":303792,"corporation":false,"usgs":false,"family":"Jadallah","given":"Christopher","email":"","affiliations":[{"id":65906,"text":"Center for Community and Citizen Science, University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":868093,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Duda, Jeffrey J. 0000-0001-7431-8634 jduda@usgs.gov","orcid":"https://orcid.org/0000-0001-7431-8634","contributorId":148954,"corporation":false,"usgs":true,"family":"Duda","given":"Jeffrey","email":"jduda@usgs.gov","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":868094,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Jennings, Laurel","contributorId":303793,"corporation":false,"usgs":false,"family":"Jennings","given":"Laurel","email":"","affiliations":[{"id":65908,"text":"NOAA Restoration Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration","active":true,"usgs":false}],"preferred":false,"id":868095,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Miller, Ian M. 0000-0002-3289-6337","orcid":"https://orcid.org/0000-0002-3289-6337","contributorId":41951,"corporation":false,"usgs":false,"family":"Miller","given":"Ian","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":868096,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Stapleton, Justin","contributorId":241974,"corporation":false,"usgs":false,"family":"Stapleton","given":"Justin","email":"","affiliations":[{"id":47700,"text":"Natural Resources Department, Lower Elwha Klallam Tribe, Port Angeles, WA","active":true,"usgs":false}],"preferred":false,"id":868097,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Shaffer, Anne","contributorId":168504,"corporation":false,"usgs":false,"family":"Shaffer","given":"Anne","email":"","affiliations":[],"preferred":false,"id":868098,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Miller, Allyce","contributorId":303794,"corporation":false,"usgs":false,"family":"Miller","given":"Allyce","email":"","affiliations":[{"id":65909,"text":"Lower Elwha Klallam Tribe Natural Resources Department","active":true,"usgs":false}],"preferred":false,"id":868099,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Shafroth, Patrick B. 0000-0002-6064-871X","orcid":"https://orcid.org/0000-0002-6064-871X","contributorId":225182,"corporation":false,"usgs":true,"family":"Shafroth","given":"Patrick B.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":868100,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Blackie, Barbara","contributorId":168505,"corporation":false,"usgs":false,"family":"Blackie","given":"Barbara","email":"","affiliations":[{"id":12723,"text":"Western Washington University","active":true,"usgs":false}],"preferred":false,"id":868101,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}} ,{"id":70250973,"text":"70250973 - 2023 - Gains and gaps in knowledge surrounding freshwater mollusk ecosystem services","interactions":[],"lastModifiedDate":"2024-01-17T12:57:23.863261","indexId":"70250973","displayToPublicDate":"2023-03-23T06:52:22","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5254,"text":"Freshwater Mollusk Biology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Gains and gaps in knowledge surrounding freshwater mollusk ecosystem services","docAbstract":"

Ecosystems provide essential services to people including food, water, climate regulation, and aesthetic experiences. Biodiversity can enhance and stabilize ecosystem function and the resulting services natural systems provide. Freshwater mollusks are a diverse group that provide a variety of ecosystem services through their feeding habits (e.g., filter feeding, grazing), top-down and bottom-up effects on food webs, provisioning of habitat, use as a food resource by people, and cultural importance. Research focused on quantifying the direct and indirect ways mollusks influence ecosystem services may help inform policy makers and the public about the value of mollusk communities to society. The Freshwater Mollusk Conservation Society highlighted the need to evaluate mollusk ecosystem services in their 2016 National Strategy for the Conservation of Native Freshwater Mollusks, and, while significant progress has been made, considerable work remains across the research, management, and outreach communities. We briefly review the global status of native freshwater mollusks, assess the current state of knowledge regarding their ecosystem services, and highlight recent advances and knowledge gaps to guide further research and conservation actions. Our intention is to provide ecologists, conservationists, economists, and social scientists with information to improve science-based consideration of the social, ecological, and economic value of mollusk communities to healthy aquatic systems.

","language":"English","publisher":"BioOne","doi":"10.31931/fmbc-d-22-00002","usgsCitation":"Atkinson, C.L., Hopper, G., Kreeger, D.A., Lopez, J., Maine, A.N., Sansom, B.J., Schwalb, A.N., and Vaughn, C.C., 2023, Gains and gaps in knowledge surrounding freshwater mollusk ecosystem services: Freshwater Mollusk Biology and Conservation, v. 26, no. 1, p. 20-31, https://doi.org/10.31931/fmbc-d-22-00002.","productDescription":"12 p.","startPage":"20","endPage":"31","ipdsId":"IP-137309","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":444112,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.31931/fmbc-d-22-00002","text":"Publisher Index Page"},{"id":424486,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Atkinson, Carla L.","contributorId":207478,"corporation":false,"usgs":false,"family":"Atkinson","given":"Carla","email":"","middleInitial":"L.","affiliations":[{"id":36730,"text":"University of Alabama","active":true,"usgs":false}],"preferred":false,"id":892592,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hopper, Garrett W","contributorId":333382,"corporation":false,"usgs":false,"family":"Hopper","given":"Garrett W","affiliations":[{"id":36730,"text":"University of Alabama","active":true,"usgs":false}],"preferred":false,"id":892593,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kreeger, Danielle A.","contributorId":208054,"corporation":false,"usgs":false,"family":"Kreeger","given":"Danielle","email":"","middleInitial":"A.","affiliations":[{"id":37694,"text":"Partnership for the Delaware Estuary, Wilmington, DE","active":true,"usgs":false}],"preferred":false,"id":892594,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lopez, Jonathan","contributorId":333383,"corporation":false,"usgs":false,"family":"Lopez","given":"Jonathan","email":"","affiliations":[{"id":7062,"text":"University of Oklahoma","active":true,"usgs":false}],"preferred":false,"id":892595,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Maine, Alexa N.","contributorId":333384,"corporation":false,"usgs":false,"family":"Maine","given":"Alexa","middleInitial":"N.","affiliations":[{"id":13345,"text":"Confederated Tribes of the Umatilla Indian Reservation","active":true,"usgs":false}],"preferred":false,"id":892596,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sansom, Brandon James 0000-0001-7999-9547","orcid":"https://orcid.org/0000-0001-7999-9547","contributorId":289636,"corporation":false,"usgs":true,"family":"Sansom","given":"Brandon","email":"","middleInitial":"James","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":892597,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schwalb, Astrid N.","contributorId":333385,"corporation":false,"usgs":false,"family":"Schwalb","given":"Astrid","middleInitial":"N.","affiliations":[{"id":6677,"text":"Texas State University","active":true,"usgs":false}],"preferred":false,"id":892598,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Vaughn, Caryn C.","contributorId":213306,"corporation":false,"usgs":false,"family":"Vaughn","given":"Caryn","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":892599,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70241125,"text":"sir20225132 - 2023 - Evaluation of potential stresses and hydrologic conditions driving water-level fluctuations in well ER-5-3-2, Frenchman Flat, southern Nevada","interactions":[],"lastModifiedDate":"2026-02-24T18:04:17.753698","indexId":"sir20225132","displayToPublicDate":"2023-03-22T14:27:54","publicationYear":"2023","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":"2022-5132","displayTitle":"Evaluation of Potential Stresses and Hydrologic Conditions Driving Water-Level Fluctuations in Well ER-5-3-2, Frenchman Flat, Southern Nevada","title":"Evaluation of potential stresses and hydrologic conditions driving water-level fluctuations in well ER-5-3-2, Frenchman Flat, southern Nevada","docAbstract":"

Well ER-5-3-2 is part of a well network designed to monitor long-term water levels and radionuclide concentrations downgradient from underground nuclear tests that occurred in Frenchman Flat, an area of the U.S. Department of Energy Nevada National Security Site in southern Nevada. Interpretation of monitoring records for well ER-5-3-2 was confounded by previously unexplained water-level fluctuations in the well hydrograph. This study integrated geologic, hydrologic, and water-chemistry data to evaluate potential stresses and hydrologic conditions that likely affected the well ER-5-3-2 hydrograph. Numerical groundwater models were applied to evaluate four model scenarios: (1) wellbore leakage without recharge, (2) wellbore leakage with recharge, (3) equilibration to vertical heterogeneities between shallow (low transmissivity) and deep (higher transmissivity) carbonate zones, and (4) equilibration to lateral heterogeneities in carbonate rocks.

Meteoric recharge was not the cause of the 21-foot (ft) water-level rise in well ER-5-3-2 from 2001 to 2011 or the 4-ft decline from 2012 to 2016. Based on observed water-level fluctuations in nearby wells, the water-level rise and decline from recharge for these periods was less than 3 and 1 ft, respectively. The lateral-heterogeneity scenario is based on the assumption that the 21-ft water-level rise from 2001 to 2011 was a natural water-level reequilibration following the pumping-induced depressurization of a large volume of high transmissivity and low-storage carbonate rock that is surrounded by low transmissivity and high-storage carbonate rock. The lateral-heterogeneity scenario was discounted because simulated water levels cannot match the well ER-5-3-2 hydrograph. Underground nuclear testing and temperature effects were discounted based on hydraulic connections and water-temperature data.

Wellbore-leakage scenarios are based on the assumption that the water-level rise was sustained from leakage rates required to cause a localized mounding in the carbonate system near well ER-5-3-2, where the carbonate transmissivity is 530 square feet per day. Even though simulated and measured water levels compare favorably for scenarios of wellbore leakage with and without recharge, large volumes (178–184 million gallons) of groundwater from volcanic rocks would be required to leak into the carbonate system, which is not supported by water-chemistry data.

An alternative conceptualization of wellbore leakage is based on the assumption that the 21-ft water-level rise from 2001 to 2011 was sustained by the hydraulic disconnection of well ER-5-3-2 from the carbonate system. The disconnection occurred several months after a constant-rate test in well ER-5-3-2 when carbonate rocks were hydraulically disconnected from the well by either (1) the shifting of sloughed fill in the open hole or (2) the encrusting of carbonate precipitate in the well screen. The hydraulic disconnection effectively sealed the well and caused a 21-ft water-level rise from wellbore leakage during 2001–11. In this case, total wellbore leakage from 2001 to 2011 was about 50 gallons. The 4-ft water-level decline from 2012 to 2016 was conceptualized to have occurred from the slow breaking of the seal and reconnection of the well to the carbonate system. This alternative conceptualization of wellbore leakage was consistent with water-chemistry analyses because the computed wellbore leakage (50 gallons) was small relative to purged volumes (30,000–40,000 gallons) for sampling, and the water chemistry would not be expected to change.

The shallow-deep carbonate scenario provided another explanation for the well ER-5-3-2 hydrograph. This scenario is based on the assumption that well-construction effects and vertical heterogeneity of the carbonate system explain the ER-5-3-2 water-level trend. Well-construction effects are attributed to a temporary clogging of the open interval below the well screen that was opened during pumping events, which affected the hydraulic connection of deep transmissive carbonate rocks to the wellbore. The 21-ft water-level rise from 2001 to 2011 was a natural equilibration to shallow, low-transmissivity carbonate rocks during a period when the lower open interval was clogged. The 4-ft decline from 2012 to 2016 represents equilibration between the shallow and deep intervals, because of a partial unclogging of the connection between the two intervals. The low water levels from 2016 to 2021 resulted from pumping for sampling and an unclogging of the open interval so that the low head in the deep carbonate dominated the water level. Despite potential well-construction effects, from either a wellbore leakage or shallow-deep carbonate scenario, samples collected from well ER-5-3-2 are representative of the carbonate system.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20225132","collaboration":"Prepared in cooperation with the U.S. Department of Energy, National Nuclear Security Administration Nevada Site Office, Office of Environmental Management under Interagency Agreement, DE-EM0004969","usgsCitation":"Jackson, T.R., and Frus, R.J., 2023, Evaluation of potential stresses and hydrologic conditions driving water-level fluctuations in well ER-5-3-2, Frenchman Flat, southern Nevada: U.S. Geological Survey Scientific Investigations Report 2022–5132, 35 p., https://doi.org/10.3133/sir20225132.","productDescription":"Report: viii, 35 p.; Data Release","numberOfPages":"35","onlineOnly":"Y","ipdsId":"IP-139917","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":413963,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P95C0NG5","text":"MODFLOW 6 models used to evaluate potential stresses and hydrologic conditions driving water-level fluctuations in well ER-5-3-2, Frenchman Flat, southern Nevada","description":"Jackson, T.R., and Frus, R.J., 2023, MODFLOW 6 models used to evaluate potential stresses and hydrologic conditions driving water-level fluctuations in well ER-5-3-2, Frenchman Flat, southern Nevada: U.S. Geological Survey data release, available at https://doi.org/10.5066/P95C0NG5."},{"id":500485,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_114613.htm","linkFileType":{"id":5,"text":"html"}},{"id":413973,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20225132/full"},{"id":413962,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2022/5132/images"},{"id":413961,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2022/5132/sir20225132.xml"},{"id":413960,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2022/5132/sir20225132.pdf","text":"Report","size":"6 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":413959,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2022/5132/covrthb.jpg"}],"country":"United States","state":"Nevada","otherGeospatial":"Frenchman Flat","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -116.05668643871044,\n 36.549912612507626\n ],\n [\n -116.05668643871044,\n 35.84481987187543\n ],\n [\n -115.27945901304658,\n 35.84481987187543\n ],\n [\n -115.27945901304658,\n 36.549912612507626\n ],\n [\n -116.05668643871044,\n 36.549912612507626\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"

Director,
Nevada Water Science Center
U.S. Geological Survey
2730 N. Deer Run Road
Carson City, Nevada 89701

","tableOfContents":"","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2023-03-22","noUsgsAuthors":false,"publicationDate":"2023-03-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Jackson, Tracie R. 0000-0001-8553-0323","orcid":"https://orcid.org/0000-0001-8553-0323","contributorId":215365,"corporation":false,"usgs":true,"family":"Jackson","given":"Tracie R.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":866169,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Frus, Rebecca J. 0000-0002-2435-7202","orcid":"https://orcid.org/0000-0002-2435-7202","contributorId":206261,"corporation":false,"usgs":true,"family":"Frus","given":"Rebecca","email":"","middleInitial":"J.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":866170,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70241485,"text":"sir20235018 - 2023 - Selected anthropogenic contaminants in groundwater, Papio-Missouri River Natural Resources District, eastern Nebraska, 1992–2020","interactions":[],"lastModifiedDate":"2026-03-02T22:07:49.228967","indexId":"sir20235018","displayToPublicDate":"2023-03-22T14:13:36","publicationYear":"2023","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":"2023-5018","displayTitle":"Selected Anthropogenic Contaminants in Groundwater, Papio-Missouri River Natural Resources District, Eastern Nebraska, 1992–2020","title":"Selected anthropogenic contaminants in groundwater, Papio-Missouri River Natural Resources District, eastern Nebraska, 1992–2020","docAbstract":"

A study in cooperation with the Papio-Missouri River Natural Resources District was completed in 2019 to determine the concentration of contaminants of emerging concern (CEC) in groundwater in the Papio-Missouri River Natural Resources District, eastern Nebraska. Each well was sampled twice (in June and October or November) in 2019, totaling 34 samples. Samples were analyzed for 132 CECs, which include pharmaceutical, steroid hormone, and other organic chemicals. Seven of the 132 CEC analytes were detected in samples collected during this study. The most commonly detected CEC in this study was the antibiotic sulfamethoxazole. Other CECs detected in this study were nicotine, methyl-1H-benzotiazole (industrial product), acetaminophen (analgesic), caffeine, and metformin (diabetes medicine). None of the detected CECs have health-based water-quality standards. The agricultural herbicide atrazine was also sampled for and was detected in 15 of 26 samples from 8 wells, but all samples were below the established water-quality standard.

Nitrate, dissolved oxygen, and iron sampling results for 2010–19 and 1992–2020 were also assessed to determine the extent and trend of anthropogenic contamination in the Papio-Missouri River Natural Resources District. Nitrate as nitrogen was detected at a concentration greater than 4 milligrams per liter in 92 samples (19 percent), and detections in 36 samples (7.6 percent) exceeded 10 milligrams per liter, which is the U.S. Environmental Protection Agency’s maximum contaminant level for drinking water and Nebraska’s Title 118 maximum contaminant level for groundwater. Time series analysis showed that nitrate concentrations are not increasing or decreasing in any of the aquifers except for in three specific well nests, which are in phase 2 management areas. Dissolved oxygen results indicate potential denitrification throughout the Elkhorn alluvial aquifer; iron concentrations indicate potential denitrification in parts of the Missouri River alluvial aquifer.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235018","collaboration":"Prepared in cooperation with the Papio-Missouri River Natural Resources District","usgsCitation":"Hall, B.M., Kavan, C.L., Flynn, A.T., and Cherry, M.L., 2023, Selected anthropogenic contaminants in groundwater, Papio-Missouri River Natural Resources District, eastern Nebraska, 1992–2020: U.S. Geological Survey Scientific Investigations Report 2023–5018, 35 p., https://doi.org/10.3133/sir20235018.","productDescription":"Report: viii, 35 p.; Dataset","numberOfPages":"48","onlineOnly":"Y","ipdsId":"IP-129446","costCenters":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"links":[{"id":500712,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_114614.htm","linkFileType":{"id":5,"text":"html"}},{"id":414566,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.er.usgs.gov/publication/sir20235018/full","text":"Report","linkFileType":{"id":5,"text":"html"}},{"id":414475,"rank":5,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System database","linkHelpText":"—USGS water data for the Nation"},{"id":414473,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2023/5018/images"},{"id":414467,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2023/5018/coverthb.jpg"},{"id":414472,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2023/5018/sir20235018.XML","text":"Report","linkFileType":{"id":8,"text":"xml"}},{"id":414471,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2023/5018/sir20235018.pdf","text":"Report","size":"1.81 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2023–5018"}],"country":"United States","state":"Nebraska","otherGeospatial":"Papio-Missouri River Natural Resources District","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -96.44002964238103,\n 42.54396877053898\n ],\n [\n -96.58279049799194,\n 42.600578625387556\n ],\n [\n -96.76947777071449,\n 42.600578625387556\n ],\n [\n -96.74751456215893,\n 42.44680377755785\n ],\n [\n -96.62671691510306,\n 42.05663484833863\n ],\n [\n -96.6047537065475,\n 41.68045966846773\n ],\n [\n -96.56082728943636,\n 41.38451863047598\n ],\n [\n -96.51690087232578,\n 41.16994185576513\n ],\n [\n -96.27530557821459,\n 41.18647280254271\n ],\n [\n -96.03371028410338,\n 41.22778191479978\n ],\n [\n -95.83604140710383,\n 41.26906494493187\n ],\n [\n -95.93487584560361,\n 41.63943772246449\n ],\n [\n -96.05567349265895,\n 41.885177311048636\n ],\n [\n -96.25334236965901,\n 42.317015660865195\n ],\n [\n -96.44002964238103,\n 42.54396877053898\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"

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

Contact Pubs Warehouse

","tableOfContents":"","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2023-03-22","noUsgsAuthors":false,"publicationDate":"2023-03-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Hall, Brent M. 0000-0003-3815-5158 bhall@usgs.gov","orcid":"https://orcid.org/0000-0003-3815-5158","contributorId":4547,"corporation":false,"usgs":true,"family":"Hall","given":"Brent","email":"bhall@usgs.gov","middleInitial":"M.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":866994,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kavan, Cory L. 0000-0002-5887-9316 ckavan@usgs.gov","orcid":"https://orcid.org/0000-0002-5887-9316","contributorId":5677,"corporation":false,"usgs":true,"family":"Kavan","given":"Cory","email":"ckavan@usgs.gov","middleInitial":"L.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":866995,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Flynn, Amanda T. 0000-0001-9768-2076 aflynn@usgs.gov","orcid":"https://orcid.org/0000-0001-9768-2076","contributorId":176644,"corporation":false,"usgs":true,"family":"Flynn","given":"Amanda","email":"aflynn@usgs.gov","middleInitial":"T.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":866996,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cherry, Mikaela L. 0000-0003-1081-0296 mcherry@usgs.gov","orcid":"https://orcid.org/0000-0003-1081-0296","contributorId":303279,"corporation":false,"usgs":true,"family":"Cherry","given":"Mikaela","email":"mcherry@usgs.gov","middleInitial":"L.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":866997,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70241482,"text":"sir20225120 - 2023 - Preliminary machine learning models of manganese and 1,4-dioxane in groundwater on Long Island, New York","interactions":[],"lastModifiedDate":"2026-02-23T20:41:49.639474","indexId":"sir20225120","displayToPublicDate":"2023-03-22T12:18:00","publicationYear":"2023","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":"2022-5120","displayTitle":"Preliminary Machine Learning Models of Manganese and 1,4-Dioxane in Groundwater on Long Island, New York","title":"Preliminary machine learning models of manganese and 1,4-dioxane in groundwater on Long Island, New York","docAbstract":"

Manganese and 1,4-dioxane in groundwater underlying Long Island, New York, were modeled with machine learning methods to demonstrate the use of these methods for mapping contaminants in groundwater in the Long Island aquifer system. XGBoost, a gradient boosted, ensemble tree method, was applied to data from 910 wells for manganese and 553 wells for 1,4-dioxane. Explanatory variables included soil properties, groundwater flow, land use, and other features that describe the hydrogeology and geochemistry of the aquifer system. Four models were developed to predict the probability of manganese concentrations greater than a detection level of 10 micrograms per liter (μg/L) and greater than three threshold concentrations (50, 150, and 300 μg/L) relevant to drinking-water quality. One model was developed to predict the probability of 1,4-dioxane concentrations greater than a detection level of 0.07 μg/L. The 1,4-dioxane model was limited geographically to Suffolk County because of data availability. Predictions were made for two layers in the upper glacial aquifer and three layers in the Magothy aquifer, which are the upper two of the three major aquifers of the Long Island aquifer system.

The objective of the study described in this report was to demonstrate the application of the methods rather than to develop precise estimates of manganese or 1,4-dioxane concentrations at any given location. The predictive models developed in the study are considered preliminary in the sense that they are an initial effort at developing these kinds of models specifically for Long Island. The models could be improved by the inclusion of additional data, by the use of methods to improve the modeling of infrequent high concentrations of manganese and 1,4-dioxane (above threshold concentrations), and by including more explanatory variables that specifically describe conditions and contaminant sources on Long Island. Nonetheless, the distribution of model predictions and the influence of explanatory variables in the models were consistent with the expected relations between contaminant concentrations and groundwater-flow-system characteristics and the distribution of manmade sources.

Mapped predictions indicated that manganese detections were more probable in the upper glacial aquifer and along the southern shore of Long Island, consistent with the distribution of anoxic conditions in groundwater in the Long Island aquifer system. Manganese was infrequently predicted at concentrations greater than thresholds of concern for drinking-water quality in any of the aquifer layers. Detections of 1,4-dioxane were predicted in the western, more highly developed parts of Suffolk County, in the upper glacial aquifer and the top and middle layers of the Magothy aquifer, and in northwestern Suffolk County in the bottom layer of the Magothy aquifer. Although preliminary in nature and based on limited data, these mapped predictions can be used to generally identify areas where manganese and 1,4-dioxane may be present at concentrations of concern to prioritize areas for future monitoring and to guide future modeling and mapping efforts.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20225120","programNote":"National Water Quality Program","usgsCitation":"DeSimone, L.A., 2023, Preliminary machine learning models of manganese and 1,4-dioxane in groundwater on Long Island, New York: U.S. Geological Survey Scientific Investigations Report 2022–5120, 34 p., https://doi.org/10.3133/sir20225120.","productDescription":"Report: vii, 34 p.; Data Release","numberOfPages":"34","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-133571","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":37273,"text":"Advanced Research Computing (ARC)","active":true,"usgs":true}],"links":[{"id":414438,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2022/5120/images/"},{"id":414437,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2022/5120/sir20225120.XML"},{"id":414436,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.er.usgs.gov/publication/sir20225120/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2022-5120"},{"id":500463,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_114612.htm","linkFileType":{"id":5,"text":"html"}},{"id":414439,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P90AT9YG","text":"USGS data release","linkHelpText":"Data and model archive for preliminary machine learning models of manganese and 1,4-dioxane in groundwater on Long Island, New York"},{"id":414434,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2022/5120/coverthb.jpg"},{"id":414435,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2022/5120/sir20225120.pdf","text":"Report","size":"5.93 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2022-5120"}],"country":"United States","state":"New York","otherGeospatial":"Long Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -74.05146015978082,\n 40.628474760922984\n ],\n [\n -73.96502494019428,\n 40.542103435896706\n ],\n [\n -73.54649650851006,\n 40.545560430280744\n ],\n [\n -73.20985407432973,\n 40.61811609149555\n ],\n [\n -72.74128419972719,\n 40.738867255336714\n ],\n [\n -72.19082832762075,\n 40.90411303840304\n ],\n [\n -71.79504600635465,\n 41.08266452105815\n ],\n [\n -72.259066658874,\n 41.20257103045407\n ],\n [\n -72.71853808930965,\n 41.00374947032347\n ],\n [\n -73.1643618534946,\n 41.010615404965876\n ],\n [\n -73.52375039809249,\n 40.948796241204036\n ],\n [\n -73.76485916851937,\n 40.873160815851264\n ],\n [\n -73.87858972060721,\n 40.79055078444986\n ],\n [\n -74.01961560519632,\n 40.72163048139012\n ],\n [\n -74.05146015978082,\n 40.68714353955147\n ],\n [\n -74.05146015978082,\n 40.628474760922984\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"

Director, New England Water Science Center
U.S. Geological Survey
10 Bearfoot Road
Northborough, MA 01532

","tableOfContents":"","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2023-03-22","noUsgsAuthors":false,"publicationDate":"2023-03-22","publicationStatus":"PW","contributors":{"authors":[{"text":"DeSimone, Leslie A. 0000-0003-0774-9607 ldesimon@usgs.gov","orcid":"https://orcid.org/0000-0003-0774-9607","contributorId":195635,"corporation":false,"usgs":true,"family":"DeSimone","given":"Leslie","email":"ldesimon@usgs.gov","middleInitial":"A.","affiliations":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":866989,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70241601,"text":"70241601 - 2023 - Evolving radon diffusion through earthen barriers at uranium waste disposal sites","interactions":[],"lastModifiedDate":"2023-03-27T10:54:56.625544","indexId":"70241601","displayToPublicDate":"2023-03-21T09:15:13","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2263,"text":"Journal of Environmental Radioactivity","active":true,"publicationSubtype":{"id":10}},"title":"Evolving radon diffusion through earthen barriers at uranium waste disposal sites","docAbstract":"

Field measurements of Rn-222 fluxes from the tops and bottoms of compacted clay radon barriers were used to calculate effective Rn diffusion coefficients (DRn) at four uranium waste disposal sites in the western United States to assess cover performance after more than 20 years of service. Values of DRn ranged from 7.4 × 10−7 to 6.0 × 10−9 m2/s, averaging 1.42 × 10−7. Water saturation (SW) from soil cores indicated that there was relatively little control of DRn by SW, especially at higher moisture levels, in contrast to estimates from most steady-state diffusion models. This is attributed to preferential pathways intrinsic to construction of the barriers or to natural process that have developed over time including desiccation cracks, root channels, and insect burrows in the engineered earthen barriers. A modification to some models in which fast and slow pathway DRn values are partitioned appears to give a good representation of the data; 4% of the fast pathway was needed to fit the data regression. For locations with high Sw and highest DRn (and fluxes) at each site, the proportion of fast pathway ranged from 1.7% to 34%, but for many locations with lower fluxes, little if any fast pathway was needed.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvrad.2023.107140","usgsCitation":"Fuhrmann, M., Caldwell, T., Likos, W.J., Waugh, W.J., Williams, M.M., and Benson, C.H., 2023, Evolving radon diffusion through earthen barriers at uranium waste disposal sites: Journal of Environmental Radioactivity, v. 262, 107140, 7 p., https://doi.org/10.1016/j.jenvrad.2023.107140.","productDescription":"107140, 7 p.","ipdsId":"IP-140005","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":444139,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.osti.gov/biblio/2424456","text":"External Repository"},{"id":414702,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"262","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Fuhrmann, Mark","contributorId":293204,"corporation":false,"usgs":false,"family":"Fuhrmann","given":"Mark","email":"","affiliations":[{"id":12536,"text":"U.S. Nuclear Regulatory Commission","active":true,"usgs":false}],"preferred":false,"id":867453,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caldwell, Todd 0000-0003-4068-0648","orcid":"https://orcid.org/0000-0003-4068-0648","contributorId":217924,"corporation":false,"usgs":true,"family":"Caldwell","given":"Todd","email":"","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":867454,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Likos, William J. 0000-0001-8177-6625","orcid":"https://orcid.org/0000-0001-8177-6625","contributorId":303390,"corporation":false,"usgs":false,"family":"Likos","given":"William","email":"","middleInitial":"J.","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":867455,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Waugh, W. Jodi","contributorId":303391,"corporation":false,"usgs":false,"family":"Waugh","given":"W.","email":"","middleInitial":"Jodi","affiliations":[{"id":65785,"text":"RSI Entech","active":true,"usgs":false}],"preferred":false,"id":867456,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Williams, Morgan M.","contributorId":303392,"corporation":false,"usgs":false,"family":"Williams","given":"Morgan","email":"","middleInitial":"M.","affiliations":[{"id":65785,"text":"RSI Entech","active":true,"usgs":false}],"preferred":false,"id":867457,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Benson, Craig H. 0000-0001-8871-382X","orcid":"https://orcid.org/0000-0001-8871-382X","contributorId":303394,"corporation":false,"usgs":false,"family":"Benson","given":"Craig","email":"","middleInitial":"H.","affiliations":[{"id":13562,"text":"University of Wisconsin, Madison","active":true,"usgs":false}],"preferred":false,"id":867458,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70241616,"text":"70241616 - 2023 - Integrating terrestrial and aquatic ecosystems to constrain estimates of land-atmosphere carbon exchange","interactions":[],"lastModifiedDate":"2023-03-24T11:57:44.122655","indexId":"70241616","displayToPublicDate":"2023-03-21T06:53:25","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2842,"text":"Nature Communications","active":true,"publicationSubtype":{"id":10}},"title":"Integrating terrestrial and aquatic ecosystems to constrain estimates of land-atmosphere carbon exchange","docAbstract":"

In this Perspective, we put forward an integrative framework to improve estimates of land-atmosphere carbon exchange based on the accumulation of carbon in the landscape as constrained by its lateral export through rivers. The framework uses the watershed as the fundamental spatial unit and integrates all terrestrial and aquatic ecosystems as well as their hydrologic carbon exchanges. Application of the framework should help bridge the existing gap between land and atmosphere-based approaches and offers a platform to increase communication and synergy among the terrestrial, aquatic, and atmospheric research communities that is paramount to advance landscape carbon budget assessments.

","language":"English","publisher":"Nature","doi":"10.1038/s41467-023-37232-2","usgsCitation":"Casas-Ruiz, J., Bodmer, P., Bona, K.A., Butman, D., Couturier, M., Emilson, E.J., Finlay, K., Genet, H., Hayes, D., Karlsson, J., Pare, D., Peng, C., Striegl, R.G., Webb, J., Wei, X., Ziegler, S., and Del Giorgio, P., 2023, Integrating terrestrial and aquatic ecosystems to constrain estimates of land-atmosphere carbon exchange: Nature Communications, v. 14, 1571, 17 p., https://doi.org/10.1038/s41467-023-37232-2.","productDescription":"1571, 17 p.","ipdsId":"IP-146296","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":444145,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41467-023-37232-2","text":"Publisher Index Page"},{"id":414690,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","noUsgsAuthors":false,"publicationDate":"2023-03-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Casas-Ruiz, Joan","contributorId":303397,"corporation":false,"usgs":false,"family":"Casas-Ruiz","given":"Joan","email":"","affiliations":[{"id":65789,"text":"Research Group on Ecology of Inland Waters, Institute of Aquatic Ecology, University of Girona, Girona, Spain","active":true,"usgs":false}],"preferred":false,"id":867499,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bodmer, Pascal","contributorId":303398,"corporation":false,"usgs":false,"family":"Bodmer","given":"Pascal","email":"","affiliations":[{"id":65790,"text":"Groupe de Recherche Interuniversitaire en Limnologie (GRIL), Département des sciences biologiques, Université du Québec à Montréal, Montréal, Québec, Canada","active":true,"usgs":false}],"preferred":false,"id":867500,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bona, Kelly Ann","contributorId":303399,"corporation":false,"usgs":false,"family":"Bona","given":"Kelly","email":"","middleInitial":"Ann","affiliations":[{"id":65791,"text":"Environment and Climate Change Canada, Gatineau, Quebec, Canada","active":true,"usgs":false}],"preferred":false,"id":867501,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Butman, David","contributorId":224754,"corporation":false,"usgs":false,"family":"Butman","given":"David","affiliations":[{"id":16962,"text":"U. Washington","active":true,"usgs":false}],"preferred":false,"id":867502,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Couturier, Mathilde","contributorId":303400,"corporation":false,"usgs":false,"family":"Couturier","given":"Mathilde","email":"","affiliations":[{"id":65790,"text":"Groupe de Recherche Interuniversitaire en Limnologie (GRIL), Département des sciences biologiques, Université du Québec à Montréal, Montréal, Québec, Canada","active":true,"usgs":false}],"preferred":false,"id":867503,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Emilson, Erik J.S.","contributorId":245463,"corporation":false,"usgs":false,"family":"Emilson","given":"Erik","email":"","middleInitial":"J.S.","affiliations":[{"id":49199,"text":"Natural Resources Canada, Canadian Forest ServiceGreat Lakes Forestry Centre, Sault Ste. Marie, Canada","active":true,"usgs":false}],"preferred":false,"id":867504,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Finlay, Kerri","contributorId":289777,"corporation":false,"usgs":false,"family":"Finlay","given":"Kerri","email":"","affiliations":[{"id":27547,"text":"University of Regina","active":true,"usgs":false}],"preferred":false,"id":867505,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Genet, Helene","contributorId":198686,"corporation":false,"usgs":false,"family":"Genet","given":"Helene","email":"","affiliations":[],"preferred":false,"id":867506,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hayes, Daniel B.","contributorId":248252,"corporation":false,"usgs":false,"family":"Hayes","given":"Daniel B.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":867507,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Karlsson, Jan","contributorId":139660,"corporation":false,"usgs":false,"family":"Karlsson","given":"Jan","email":"","affiliations":[{"id":12869,"text":"Dept. of Ecology and Environmental Science, Umeå University, Umeå, Sweden.","active":true,"usgs":false}],"preferred":false,"id":867508,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Pare, David","contributorId":303401,"corporation":false,"usgs":false,"family":"Pare","given":"David","email":"","affiliations":[{"id":65793,"text":"Natural Resources Canada, Québec, Québec, Canada","active":true,"usgs":false}],"preferred":false,"id":867509,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Peng, Changhui","contributorId":197932,"corporation":false,"usgs":false,"family":"Peng","given":"Changhui","email":"","affiliations":[{"id":6612,"text":"State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Northwest A&F University, Yangling 712100, China","active":true,"usgs":false},{"id":6613,"text":"Center of CEF/ESCER, Department of Biological Science, University of Quebec at Montreal, Montreal H3C 3P8, Canada","active":true,"usgs":false}],"preferred":false,"id":867510,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Striegl, Robert G. 0000-0002-8251-4659 rstriegl@usgs.gov","orcid":"https://orcid.org/0000-0002-8251-4659","contributorId":1630,"corporation":false,"usgs":true,"family":"Striegl","given":"Robert","email":"rstriegl@usgs.gov","middleInitial":"G.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"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":false,"id":867511,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Webb, Jackie","contributorId":293904,"corporation":false,"usgs":false,"family":"Webb","given":"Jackie","email":"","affiliations":[],"preferred":false,"id":867512,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Wei, Xinyuan","contributorId":303402,"corporation":false,"usgs":false,"family":"Wei","given":"Xinyuan","email":"","affiliations":[{"id":65794,"text":"Center for Research on Sustainable Forests, University of Maine, Orono, Maine, USA","active":true,"usgs":false}],"preferred":false,"id":867513,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Ziegler, Sue","contributorId":303403,"corporation":false,"usgs":false,"family":"Ziegler","given":"Sue","email":"","affiliations":[{"id":65796,"text":"Memorial University of Newfoundland, St. John’s, Newfoundland and Labrador, Canada","active":true,"usgs":false}],"preferred":false,"id":867514,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Del Giorgio, Paul","contributorId":211167,"corporation":false,"usgs":false,"family":"Del Giorgio","given":"Paul","email":"","affiliations":[{"id":38187,"text":"Université du Québec à Montréal, Quebec, Montreal, Canada","active":true,"usgs":false}],"preferred":false,"id":867515,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}} ,{"id":70241438,"text":"70241438 - 2023 - Invasive Round Goby in the Mohawk and Hudson Rivers: What’s the latest?","interactions":[],"lastModifiedDate":"2023-03-20T14:59:25.897924","indexId":"70241438","displayToPublicDate":"2023-03-20T09:51:20","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Invasive Round Goby in the Mohawk and Hudson Rivers: What’s the latest?","docAbstract":"

The Round Goby (Neogobius melanostomus) is an invasive benthic fish indigenous to the Ponto-Caspian region of Eurasia. It recently colonized the Great Lakes and has expanded eastward through the New York State Canal System over the past decade. The species was first documented in the Mohawk River watershed in 2014 and was found in the Hudson River in 2021. Round Goby can adversely affect aquatic ecosystems in many ways such as outcompeting native benthic fishes, consuming the eggs of nest-building species such as Smallmouth Bass (Micropterus dolomieu), and transferring contaminants to higher trophic levels (e.g., desirable gamefish). They can also carry the viral hemorrhagic septicemia (VHS) virus which has been linked to fish kills in New York and some evidence suggests Round Goby are an important vector in avian botulism outbreaks. However, the presence of Round Goby has also been linked to faster growth rate and larger maximum size of some predators such as Smallmouth Bass. ed watersheds of the northeastern United States.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Mohawk Watershed Symposium 2023 abstracts and program","largerWorkSubtype":{"id":15,"text":"Monograph"},"conferenceTitle":"Mohawk Watershed Symposium 2023","conferenceDate":"March 17, 2023","conferenceLocation":"Schenectady, NY","language":"English","publisher":"Union College","usgsCitation":"George, S.D., Baldigo, B., Rees, C., Bartron, M.L., Pendleton, R., and Pearson, S., 2023, Invasive Round Goby in the Mohawk and Hudson Rivers: What’s the latest?, in Mohawk Watershed Symposium 2023 abstracts and program, Schenectady, NY, March 17, 2023, p. 21-23.","productDescription":"3 p.","startPage":"21","endPage":"23","ipdsId":"IP-148828","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":414370,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":414368,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://minerva.union.edu/garverj/mws/2023/symposium.html","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"New York","otherGeospatial":"Hudson River, Mohawk River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -73.2056012272887,\n 44.87799282933736\n ],\n [\n -76.62652177537367,\n 44.87799282933736\n ],\n [\n -76.62652177537367,\n 41.997425542519494\n ],\n [\n -73.2056012272887,\n 41.997425542519494\n ],\n [\n -73.2056012272887,\n 44.87799282933736\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"George, Scott D. 0000-0002-8197-1866 sgeorge@usgs.gov","orcid":"https://orcid.org/0000-0002-8197-1866","contributorId":3014,"corporation":false,"usgs":true,"family":"George","given":"Scott","email":"sgeorge@usgs.gov","middleInitial":"D.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":866852,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baldigo, Barry P. 0000-0002-9862-9119","orcid":"https://orcid.org/0000-0002-9862-9119","contributorId":25174,"corporation":false,"usgs":true,"family":"Baldigo","given":"Barry P.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":866853,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rees, Christopher B.","contributorId":196308,"corporation":false,"usgs":false,"family":"Rees","given":"Christopher B.","affiliations":[],"preferred":false,"id":866854,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bartron, Meredith L.","contributorId":149109,"corporation":false,"usgs":false,"family":"Bartron","given":"Meredith","email":"","middleInitial":"L.","affiliations":[{"id":26874,"text":"USFWS, Lamar, PA","active":true,"usgs":false},{"id":6678,"text":"U.S. Fish and Wildlife Service, Alaska Maritime National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":866855,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pendleton, Richard M.","contributorId":273135,"corporation":false,"usgs":false,"family":"Pendleton","given":"Richard M.","affiliations":[{"id":56428,"text":"New York Department of Conservation","active":true,"usgs":false}],"preferred":false,"id":866856,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pearson, Steven","contributorId":303228,"corporation":false,"usgs":false,"family":"Pearson","given":"Steven","email":"","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":866857,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70241473,"text":"70241473 - 2023 - Advances in transboundary aquifer assessment","interactions":[],"lastModifiedDate":"2023-03-21T11:40:46.551051","indexId":"70241473","displayToPublicDate":"2023-03-20T06:37:07","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"title":"Advances in transboundary aquifer assessment","docAbstract":"
This Special Issue is intended to highlight both recent work to advance the physical understanding of transboundary aquifers and factors relevant in successful collaboration on transboundary groundwater resource use. The collected papers address: (1) the identification and prioritization of the needs and strategies for sustainable groundwater development and use, along with the complexities introduced by working across borders with differing governance frameworks, institutions, cultures, and sometimes languages; (2) the characterization of the physical framework of the aquifer, stressors on the aquifer system, and how those stressors influence the availability of groundwater in terms of its quantity and quality; and (3) the incorporation of stakeholder input and prioritization directly into the process of aquifer assessment and model building. The papers provide insights into the state of knowledge regarding the physical characterization of important transboundary aquifers, primarily along the U.S.–Mexico border and the opportunities for greater stakeholder involvement in resource evaluation and prioritization. They point the way towards a future focus that combines both of these aspects of transboundary aquifer assessment for informing groundwater management discussions by policymakers.
","language":"English","publisher":"MDPI","doi":"10.3390/w15061208","usgsCitation":"Matherne, A., and Megdal, S.B., 2023, Advances in transboundary aquifer assessment: Water, v. 15, no. 6, 1208, 7 p., https://doi.org/10.3390/w15061208.","productDescription":"1208, 7 p.","ipdsId":"IP-146259","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":444167,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w15061208","text":"Publisher Index Page"},{"id":414421,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, Mexico, United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -111.36493471418689,\n 32.14383279973586\n ],\n [\n -111.36493471418689,\n 30.417046183219966\n ],\n [\n -104.51237611072469,\n 30.417046183219966\n ],\n [\n -104.51237611072469,\n 32.14383279973586\n ],\n [\n -111.36493471418689,\n 32.14383279973586\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -92.90934865911173,\n 48.94766903483233\n ],\n [\n -92.90934865911173,\n 40.47995850135459\n ],\n [\n -75.51439220417046,\n 40.47995850135459\n ],\n [\n -75.51439220417046,\n 48.94766903483233\n ],\n [\n -92.90934865911173,\n 48.94766903483233\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"15","issue":"6","noUsgsAuthors":false,"publicationDate":"2023-03-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Matherne, Anne-Marie 0000-0002-5873-2226","orcid":"https://orcid.org/0000-0002-5873-2226","contributorId":32279,"corporation":false,"usgs":true,"family":"Matherne","given":"Anne-Marie","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":866957,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Megdal, Sharon B.","contributorId":203874,"corporation":false,"usgs":false,"family":"Megdal","given":"Sharon","email":"","middleInitial":"B.","affiliations":[{"id":34969,"text":"University of Sonora","active":true,"usgs":false}],"preferred":false,"id":866958,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70240999,"text":"70240999 - 2023 - Aquatic vegetation types identified during early and late phases of vegetation recovery in the Upper Mississippi River","interactions":[],"lastModifiedDate":"2023-04-12T15:13:56.801546","indexId":"70240999","displayToPublicDate":"2023-03-19T10:13:19","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Aquatic vegetation types identified during early and late phases of vegetation recovery in the Upper Mississippi River","docAbstract":"

Assemblage patterns and processes of aquatic vegetation in most large floodplain rivers are not well understood, particularly after plant recovery. Identifying vegetation types, which are recurring plant groupings based on species composition, diversity, and abundances, can describe plant assembly patterns and environmental drivers that aid conservation planning and management. We used a 22-year dataset (n = 18,000 sampling plots) to identify aquatic vegetation types during an “early phase” and “late phase” of plant recovery at multiple spatial scales nested within a 500-km river reach of the Upper Mississippi River, USA. We hypothesized that vegetation types varied according to scale because of the stark environmental differences among riverine habitats and differing regional species pools along the river's latitudinal gradient, and that the late phase of recovery had developed several new vegetation types. We first used cluster analyses at multiple spatiotemporal scales to identify the number of vegetation types and their characteristics, such as indicator species, species compositions and abundances, and diversity index. Then we applied a multivariate regression to pinpoint environmental factors (such as hydrodynamics, system productivity, local habitat, and water quality) that structured those vegetation types. Clustering revealed that ~90% of plots irrespective of recovery phase were not classified into vegetation types, which indicated that most aquatic sampling plots are unique in species composition and unpredictable. However, impounded areas upriver from dams had matured five vegetation types: lotus (Nelumbo lutea Willd.), submersed (a mix of 11 common submersed species), watercelery (Vallisneria americana Michx.), arrowheads (Sagittaria rigida Pursh and Sagittaria latifolia Willd.), and a diverse community (with high diversity indices and multiple life forms). The vegetation types were associated with three environmental gradients related to inundation depth and duration, system productivity, and water clarity. These five vegetation types are known to be of high ecological value to fish and wildlife and thus targets for restoration, for example, the watercelery community is principal forage for migrating canvasback ducks (Aythya valisineria) along the Mississippi River flyway. Our results provide insights on vegetation assembly during recovery and aid habitat conservation by providing quantitative, environmental targets for restoration.

","language":"English","publisher":"Wiley","doi":"10.1002/ecs2.4468","usgsCitation":"Larson, D.M., Carhart, A., and Lund, E., 2023, Aquatic vegetation types identified during early and late phases of vegetation recovery in the Upper Mississippi River: Ecosphere, v. 14, no. 3, e4468, 20 p., https://doi.org/10.1002/ecs2.4468.","productDescription":"e4468, 20 p.","ipdsId":"IP-131066","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":444170,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.4468","text":"Publisher Index Page"},{"id":415663,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois, Iowa, Minnesota, Wisconsin","otherGeospatial":"Upper Mississippi River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -90.10976435882736,\n 41.60685944282207\n ],\n [\n -89.99975982612516,\n 42.224983847864536\n ],\n [\n -90.81533578734795,\n 43.0853039521503\n ],\n [\n -91.17295281697338,\n 44.10941290093686\n ],\n [\n -92.4919662081708,\n 44.74832598668567\n ],\n [\n -92.97405022349875,\n 45.04742613671087\n ],\n [\n -93.13038965400605,\n 44.71333048187006\n ],\n [\n -91.91569538208077,\n 44.03813254031178\n ],\n [\n -91.35537860580692,\n 43.326638741150475\n ],\n [\n -91.34212433361859,\n 42.710247775085435\n ],\n [\n -90.44333088312968,\n 42.162313420549964\n ],\n [\n -90.79716133996195,\n 41.5831628575645\n ],\n [\n -90.10976435882736,\n 41.60685944282207\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"14","issue":"3","noUsgsAuthors":false,"publicationDate":"2023-03-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Larson, Danelle M. 0000-0001-6349-6267","orcid":"https://orcid.org/0000-0001-6349-6267","contributorId":228838,"corporation":false,"usgs":true,"family":"Larson","given":"Danelle","email":"","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":865662,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carhart, Alicia 0000-0002-9977-8124","orcid":"https://orcid.org/0000-0002-9977-8124","contributorId":223884,"corporation":false,"usgs":false,"family":"Carhart","given":"Alicia","email":"","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":865663,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lund, Eric","contributorId":221777,"corporation":false,"usgs":false,"family":"Lund","given":"Eric","affiliations":[{"id":6964,"text":"Minnesota Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":865664,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70248233,"text":"70248233 - 2023 - Assessing potential effects of climate change on highway-runoff flows and loads in southern New England by using planning-level space-for-time analyses","interactions":[],"lastModifiedDate":"2023-09-05T12:11:07.324945","indexId":"70248233","displayToPublicDate":"2023-03-19T07:06:24","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":16697,"text":"Transportation Research Record, Journal of the Transportation Research Board.","active":true,"publicationSubtype":{"id":10}},"title":"Assessing potential effects of climate change on highway-runoff flows and loads in southern New England by using planning-level space-for-time analyses","docAbstract":"
Transportation agencies need information about the potential effects of climate change on the volume, quality, and treatment of stormwater to mitigate potential effects of runoff on receiving waters. To address these concerns, the U.S. Geological Survey and the Federal Highway Administration used the Coupled Model Intercomparison Project tool and the Stochastic Empirical Loading and Dilution Model to perform space-for-time stormwater quality analyses. This study indicated that spatial variations in precipitation statistics within and adjacent to southern New England are greater than projected climate-related changes for the centroid of this region. A dilution-factor analysis indicated that highway runoff would become a greater proportion of downstream flows if average event volumes or time between event midpoints increase and would become a smaller proportion of downstream flows if event durations increase. Highway-runoff yield analyses for total phosphorus (TP) indicate that uncertainty in water quality statistics results in variations in long-term average yields from about 1.69 to 7.96 times higher than the lowest TP values simulated. In comparison, variations in precipitation statistics cause yield variations that ranged from 1.41 to 1.76 for the different simulated concentrations. An analysis of stormwater treatment indicated that uncertainties in runoff treatment variables are also larger than the magnitude of climate variations. This study does not question the potentially large climate-related changes in hydrologic and hydraulic variables expected to occur in the foreseeable future. It does indicate that uncertainties in the current data and potential effects of land use change on stormwater quality and treatment variables are larger than the projected effects of climate change.
","language":"English","publisher":"Sage","doi":"10.1177/03611981231155183","usgsCitation":"Jeznach, L.C., Granato, G., Sharar-Salgado, D., Jones, S.C., and Imig, D., 2023, Assessing potential effects of climate change on highway-runoff flows and loads in southern New England by using planning-level space-for-time analyses: Transportation Research Record, Journal of the Transportation Research Board., v. 2677, no. 7, p. 570-581, https://doi.org/10.1177/03611981231155183.","productDescription":"12 p.","startPage":"570","endPage":"581","ipdsId":"IP-143447","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":444172,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1177/03611981231155183","text":"Publisher Index Page"},{"id":420466,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Connecticut, Rhode Island, Massachusetts","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-71.860513,41.320248],[-71.859566,41.3224],[-71.868235,41.330941],[-71.886302,41.33641],[-71.91671,41.332217],[-71.936284,41.337959],[-71.945652,41.337799],[-71.956747,41.329871],[-71.970955,41.324526],[-71.982194,41.329861],[-71.988153,41.320577],[-72.021898,41.316838],[-72.084487,41.319634],[-72.094443,41.314164],[-72.09982,41.306998],[-72.11182,41.299098],[-72.134221,41.299398],[-72.16158,41.310262],[-72.173922,41.317597],[-72.177622,41.322497],[-72.184122,41.323997],[-72.191022,41.323197],[-72.201422,41.315697],[-72.204022,41.299097],[-72.212924,41.291365],[-72.225276,41.299047],[-72.248161,41.299488],[-72.251895,41.29862],[-72.251323,41.289997],[-72.261487,41.282926],[-72.31776,41.277782],[-72.327595,41.27846],[-72.333894,41.282916],[-72.348643,41.277446],[-72.348068,41.269698],[-72.386629,41.261798],[-72.398688,41.278172],[-72.451925,41.278885],[-72.472539,41.270103],[-72.485693,41.270881],[-72.499534,41.265866],[-72.506634,41.260099],[-72.51866,41.261253],[-72.521312,41.2656],[-72.529416,41.264421],[-72.533247,41.26269],[-72.536746,41.256207],[-72.546833,41.250718],[-72.570655,41.267744],[-72.583336,41.271698],[-72.598036,41.268698],[-72.617237,41.271998],[-72.653838,41.265897],[-72.662203,41.268964],[-72.671673,41.267151],[-72.684939,41.257597],[-72.685539,41.251297],[-72.694744,41.24497],[-72.710595,41.24448],[-72.713674,41.249007],[-72.711208,41.251018],[-72.71246,41.254167],[-72.722439,41.259138],[-72.732813,41.254727],[-72.757477,41.266913],[-72.786142,41.264796],[-72.818737,41.252244],[-72.826883,41.256755],[-72.847767,41.25669],[-72.854055,41.24774],[-72.861344,41.245297],[-72.881445,41.242597],[-72.895445,41.243697],[-72.905245,41.248297],[-72.903045,41.252797],[-72.894745,41.256197],[-72.893845,41.259897],[-72.907962,41.282549],[-72.916827,41.282033],[-72.920062,41.280056],[-72.920846,41.268897],[-72.935646,41.258497],[-72.961345,41.25178],[-72.986247,41.233497],[-73.014948,41.204297],[-73.020149,41.204097],[-73.022549,41.207197],[-73.05065,41.210197],[-73.07945,41.194015],[-73.105483,41.172203],[-73.110352,41.159697],[-73.108352,41.153718],[-73.111052,41.150797],[-73.130253,41.146797],[-73.170074,41.160532],[-73.170701,41.164945],[-73.177774,41.166697],[-73.202656,41.158096],[-73.228295,41.142602],[-73.235058,41.143996],[-73.247958,41.126396],[-73.262358,41.117496],[-73.286759,41.127896],[-73.296359,41.125696],[-73.31186,41.116296],[-73.33066,41.109996],[-73.372296,41.10402],[-73.392162,41.087696],[-73.400154,41.086299],[-73.435063,41.056696],[-73.450364,41.057096],[-73.468239,41.051347],[-73.477364,41.035997],[-73.493327,41.048173],[-73.516903,41.038738],[-73.516766,41.029497],[-73.522666,41.019297],[-73.528866,41.016397],[-73.531169,41.021919],[-73.530189,41.028776],[-73.535338,41.03192],[-73.551494,41.024336],[-73.561968,41.016797],[-73.567668,41.010897],[-73.570068,41.001597],[-73.583968,41.000897],[-73.584988,41.010537],[-73.595699,41.015995],[-73.603952,41.015054],[-73.643478,41.002171],[-73.651175,40.995229],[-73.657336,40.985171],[-73.659671,40.987909],[-73.659372,40.999497],[-73.654671,41.011697],[-73.727775,41.100696],[-73.482709,41.21276],[-73.550961,41.295422],[-73.521041,41.619773],[-73.510961,41.758749],[-73.489615,42.000092],[-73.487314,42.049638],[-73.496879,42.049675],[-73.508142,42.086257],[-73.264957,42.74594],[-72.809113,42.736581],[-71.981402,42.713294],[-71.294205,42.69699],[-71.278929,42.711258],[-71.267905,42.72589],[-71.245504,42.742589],[-71.223904,42.746689],[-71.181803,42.73759],[-71.186104,42.790689],[-71.165603,42.808689],[-71.132503,42.821389],[-71.064201,42.806289],[-71.047501,42.844089],[-71.044401,42.848789],[-71.031201,42.859089],[-70.9665,42.868989],[-70.931699,42.884189],[-70.914899,42.886589],[-70.902768,42.88653],[-70.886136,42.88261],[-70.848625,42.860939],[-70.830795,42.868918],[-70.817296,42.87229],[-70.817731,42.850613],[-70.80522,42.781798],[-70.792867,42.747118],[-70.770453,42.704824],[-70.778552,42.69852],[-70.778671,42.693622],[-70.764421,42.68565],[-70.744427,42.682092],[-70.72982,42.669602],[-70.728845,42.663877],[-70.689402,42.653319],[-70.682594,42.654525],[-70.681594,42.662342],[-70.663548,42.677603],[-70.645101,42.689423],[-70.630077,42.692699],[-70.620031,42.688006],[-70.622864,42.67599],[-70.622791,42.660873],[-70.61482,42.65765],[-70.595474,42.660336],[-70.591742,42.648508],[-70.591469,42.639821],[-70.594014,42.63503],[-70.605611,42.634898],[-70.61842,42.62864],[-70.635635,42.600243],[-70.654727,42.582234],[-70.664887,42.580436],[-70.668022,42.581732],[-70.670442,42.592249],[-70.672583,42.594296],[-70.678819,42.594389],[-70.698574,42.577393],[-70.729688,42.57151],[-70.737044,42.576863],[-70.757283,42.570455],[-70.804091,42.561595],[-70.823291,42.551495],[-70.848492,42.550195],[-70.871382,42.546404],[-70.872357,42.542952],[-70.866279,42.522617],[-70.842091,42.519495],[-70.831091,42.503596],[-70.835991,42.490496],[-70.841591,42.487596],[-70.847391,42.491496],[-70.857791,42.490296],[-70.879692,42.478796],[-70.886493,42.470197],[-70.887292,42.464896],[-70.894292,42.460896],[-70.908092,42.466896],[-70.917693,42.467996],[-70.934993,42.457896],[-70.933155,42.437833],[-70.928226,42.430986],[-70.913192,42.427697],[-70.901992,42.420297],[-70.905692,42.416197],[-70.936393,42.418097],[-70.943295,42.436248],[-70.943612,42.452092],[-70.94702,42.456236],[-70.96047,42.446166],[-70.960835,42.441272],[-70.982994,42.423996],[-70.990595,42.407098],[-70.989195,42.402598],[-70.985068,42.402041],[-70.980336,42.391513],[-70.970195,42.388036],[-70.972513,42.385042],[-70.972223,42.377316],[-70.953292,42.349698],[-70.953022,42.343973],[-70.963578,42.34686],[-70.974897,42.355843],[-70.979927,42.356382],[-70.998253,42.352788],[-71.006877,42.347039],[-71.01568,42.326019],[-71.013165,42.315419],[-71.000948,42.302483],[-71.006158,42.28811],[-71.0049,42.28272],[-70.996097,42.271222],[-70.98909,42.267449],[-70.967351,42.268168],[-70.948971,42.272505],[-70.935886,42.264189],[-70.923169,42.263211],[-70.910941,42.265412],[-70.896267,42.2851],[-70.895778,42.292436],[-70.897123,42.29586],[-70.915588,42.302463],[-70.91749,42.305686],[-70.882764,42.30886],[-70.881242,42.300663],[-70.870873,42.285668],[-70.851093,42.26827],[-70.831075,42.267424],[-70.811742,42.262935],[-70.770964,42.249197],[-70.74723,42.221816],[-70.73056,42.21094],[-70.722269,42.207959],[-70.714301,42.168783],[-70.706264,42.163137],[-70.685315,42.133025],[-70.663931,42.108336],[-70.640169,42.088633],[-70.63848,42.081579],[-70.647349,42.076331],[-70.64819,42.068441],[-70.643208,42.050821],[-70.644337,42.045895],[-70.650874,42.046247],[-70.66936,42.037116],[-70.671666,42.02139],[-70.667512,42.01232],[-70.670934,42.007786],[-70.678798,42.00551],[-70.686798,42.012764],[-70.695809,42.013346],[-70.712204,42.007586],[-70.710034,41.999544],[-70.698981,41.987103],[-70.662476,41.960592],[-70.651673,41.958701],[-70.648365,41.961672],[-70.623513,41.943273],[-70.616491,41.940204],[-70.608166,41.940701],[-70.598078,41.947772],[-70.583572,41.950007],[-70.552941,41.929641],[-70.546386,41.916751],[-70.545949,41.907158],[-70.532084,41.889568],[-70.525567,41.85873],[-70.535487,41.839381],[-70.542065,41.831263],[-70.543168,41.824446],[-70.54103,41.815754],[-70.532656,41.804796],[-70.517411,41.790953],[-70.494048,41.773883],[-70.471552,41.761563],[-70.412476,41.744397],[-70.375341,41.738779],[-70.290957,41.734312],[-70.275203,41.726143],[-70.263654,41.714115],[-70.259205,41.713954],[-70.23485,41.733733],[-70.216073,41.742981],[-70.189254,41.751982],[-70.182076,41.750885],[-70.141533,41.760072],[-70.121978,41.758841],[-70.096061,41.766549],[-70.064314,41.772845],[-70.024734,41.787364],[-70.008462,41.800786],[-70.003842,41.80852],[-70.004486,41.838826],[-70.009013,41.876625],[-70.000188,41.886938],[-70.002922,41.890315],[-70.012154,41.891656],[-70.024335,41.89882],[-70.025553,41.911699],[-70.030537,41.929154],[-70.044995,41.930049],[-70.054464,41.927366],[-70.065671,41.911658],[-70.064084,41.878924],[-70.067566,41.877793],[-70.070889,41.882973],[-70.073039,41.899783],[-70.077421,41.985497],[-70.083775,42.012041],[-70.089578,42.024896],[-70.10806,42.043601],[-70.148294,42.06195],[-70.155415,42.062409],[-70.169781,42.059736],[-70.186816,42.05045],[-70.194456,42.03947],[-70.195345,42.034163],[-70.193074,42.027576],[-70.186708,42.019904],[-70.196693,42.022429],[-70.208016,42.03073],[-70.218701,42.045848],[-70.233256,42.057714],[-70.24354,42.060569],[-70.245385,42.063733],[-70.238087,42.072878],[-70.225626,42.078601],[-70.206899,42.0819],[-70.189305,42.082337],[-70.160166,42.078628],[-70.115968,42.067638],[-70.082624,42.054657],[-70.058531,42.040363],[-70.033501,42.017736],[-70.011898,41.98972],[-69.986085,41.949597],[-69.968598,41.9117],[-69.945314,41.845222],[-69.935952,41.809422],[-69.928652,41.74125],[-69.928261,41.6917],[-69.933114,41.670014],[-69.947599,41.645394],[-69.951169,41.640799],[-69.958272,41.639429],[-69.967869,41.627503],[-69.982768,41.581812],[-69.988215,41.554704],[-69.998071,41.54365],[-70.011504,41.542924],[-70.016584,41.550772],[-70.015059,41.553037],[-70.010644,41.552692],[-70.00153,41.561953],[-69.994357,41.576846],[-69.987192,41.608579],[-69.973035,41.641046],[-69.973153,41.646963],[-69.975719,41.653738],[-69.996359,41.667184],[-70.007011,41.671579],[-70.014211,41.671971],[-70.029346,41.667744],[-70.055523,41.664843],[-70.089238,41.662813],[-70.140877,41.650423],[-70.158621,41.650438],[-70.191061,41.645259],[-70.245867,41.628479],[-70.25621,41.620698],[-70.25542,41.617541],[-70.259601,41.610863],[-70.265424,41.609333],[-70.269687,41.617775],[-70.26913,41.625742],[-70.274522,41.632927],[-70.28132,41.635125],[-70.321588,41.630508],[-70.338067,41.636338],[-70.351634,41.634687],[-70.360352,41.631069],[-70.364892,41.626721],[-70.364744,41.623671],[-70.369854,41.615888],[-70.379151,41.611361],[-70.400581,41.606382],[-70.437246,41.605329],[-70.461278,41.57182],[-70.476256,41.558502],[-70.485571,41.554244],[-70.522327,41.548965],[-70.559689,41.54833],[-70.611081,41.542989],[-70.633607,41.538254],[-70.643627,41.532357],[-70.654104,41.519025],[-70.663856,41.514031],[-70.675379,41.512623],[-70.705181,41.496677],[-70.734306,41.486335],[-70.757171,41.469917],[-70.756481,41.465977],[-70.760863,41.460947],[-70.79027,41.446339],[-70.817478,41.445562],[-70.835867,41.441877],[-70.857528,41.425767],[-70.866946,41.422378],[-70.902763,41.421061],[-70.948431,41.409193],[-70.951045,41.411777],[-70.949861,41.415323],[-70.928165,41.431265],[-70.923698,41.430716],[-70.918983,41.4253],[-70.906011,41.425708],[-70.883247,41.432239],[-70.855265,41.448892],[-70.828546,41.456448],[-70.802186,41.460864],[-70.787769,41.474609],[-70.775268,41.477465],[-70.753905,41.492256],[-70.745053,41.500966],[-70.658659,41.543385],[-70.654302,41.549926],[-70.653899,41.56516],[-70.642748,41.572385],[-70.640948,41.577325],[-70.652449,41.60521],[-70.651986,41.610184],[-70.640003,41.624616],[-70.645251,41.633547],[-70.652614,41.637829],[-70.650419,41.644202],[-70.638695,41.649427],[-70.637632,41.654573],[-70.646308,41.678433],[-70.649285,41.680943],[-70.661475,41.681756],[-70.645962,41.693794],[-70.62544,41.698691],[-70.623652,41.707398],[-70.626529,41.712995],[-70.644641,41.71898],[-70.656596,41.715401],[-70.670453,41.721912],[-70.708193,41.730959],[-70.718739,41.73574],[-70.726331,41.732731],[-70.728933,41.723433],[-70.721302,41.712968],[-70.717451,41.69398],[-70.719575,41.685002],[-70.729395,41.68814],[-70.744396,41.696967],[-70.755347,41.694326],[-70.761481,41.676808],[-70.76236,41.667735],[-70.758198,41.661225],[-70.757622,41.654265],[-70.765463,41.641575],[-70.769318,41.641145],[-70.776709,41.650756],[-70.813286,41.65567],[-70.815729,41.652796],[-70.816351,41.645995],[-70.804664,41.641157],[-70.800215,41.631753],[-70.801063,41.629513],[-70.810279,41.624873],[-70.835296,41.624532],[-70.843177,41.628487],[-70.852518,41.626919],[-70.855031,41.624283],[-70.850181,41.593529],[-70.853121,41.587321],[-70.857239,41.587705],[-70.868501,41.613733],[-70.869624,41.625608],[-70.889209,41.632904],[-70.913202,41.619266],[-70.904522,41.610361],[-70.899981,41.593504],[-70.901381,41.592504],[-70.910814,41.595506],[-70.920074,41.61081],[-70.927172,41.611253],[-70.929722,41.609479],[-70.93,41.600441],[-70.927393,41.594064],[-70.931338,41.5842],[-70.937978,41.577416],[-70.941588,41.581034],[-70.946911,41.581089],[-70.948797,41.579038],[-70.9473,41.573659],[-70.93783,41.565239],[-70.931545,41.540169],[-70.941785,41.540121],[-70.979225,41.530427],[-70.983354,41.520616],[-71.003275,41.511912],[-71.019354,41.508857],[-71.035514,41.499047],[-71.058418,41.505967],[-71.085663,41.509292],[-71.136867,41.493942],[-71.141093,41.489937],[-71.140224,41.485855],[-71.167345,41.471405],[-71.170131,41.463974],[-71.19302,41.457931],[-71.196857,41.461116],[-71.196607,41.464756],[-71.190016,41.478275],[-71.190167,41.484285],[-71.19939,41.491769],[-71.199692,41.495511],[-71.206382,41.499215],[-71.200788,41.514371],[-71.213563,41.545818],[-71.20865,41.571028],[-71.20778,41.60066],[-71.212656,41.610072],[-71.212004,41.62299],[-71.21616,41.62549],[-71.240709,41.619225],[-71.2436,41.587508],[-71.23613,41.574767],[-71.236642,41.535852],[-71.227989,41.528297],[-71.229444,41.521544],[-71.240614,41.500557],[-71.236751,41.483369],[-71.24071,41.474872],[-71.246703,41.47196],[-71.245992,41.481302],[-71.252692,41.485902],[-71.264793,41.488902],[-71.285639,41.487805],[-71.295111,41.48435],[-71.304394,41.454502],[-71.311394,41.450802],[-71.312718,41.454597],[-71.32141,41.4556],[-71.337695,41.448902],[-71.351096,41.450802],[-71.362743,41.460379],[-71.36152,41.464831],[-71.34707,41.47123],[-71.335992,41.469647],[-71.316519,41.47756],[-71.317414,41.488776],[-71.323125,41.503088],[-71.327804,41.504258],[-71.330694,41.507699],[-71.330831,41.518364],[-71.313079,41.534672],[-71.310533,41.54692],[-71.303652,41.559925],[-71.294363,41.571416],[-71.288376,41.573274],[-71.285142,41.577127],[-71.273445,41.60699],[-71.272412,41.615041],[-71.275234,41.619444],[-71.271862,41.623986],[-71.251082,41.63878],[-71.212136,41.641945],[-71.19564,41.67509],[-71.224798,41.710498],[-71.227875,41.705498],[-71.240991,41.697744],[-71.237635,41.681635],[-71.24155,41.667205],[-71.25956,41.642595],[-71.267055,41.644945],[-71.270075,41.652439],[-71.26918,41.6549],[-71.280366,41.672575],[-71.287637,41.672463],[-71.290546,41.662395],[-71.299159,41.649531],[-71.301396,41.649978],[-71.306095,41.672575],[-71.302627,41.681747],[-71.298935,41.681524],[-71.293119,41.688347],[-71.291217,41.702666],[-71.305759,41.718662],[-71.31482,41.723808],[-71.342786,41.728506],[-71.350057,41.727835],[-71.365717,41.711615],[-71.365717,41.694947],[-71.372988,41.672575],[-71.37791,41.666646],[-71.38988,41.671903],[-71.390551,41.684096],[-71.441336,41.686446],[-71.443082,41.688303],[-71.441896,41.690025],[-71.445923,41.691144],[-71.449318,41.687401],[-71.444468,41.664409],[-71.430038,41.667541],[-71.425452,41.670785],[-71.409302,41.662643],[-71.40377,41.589321],[-71.447712,41.5804],[-71.442567,41.565075],[-71.417398,41.534536],[-71.414937,41.516303],[-71.421425,41.498629],[-71.419971,41.484758],[-71.417957,41.482073],[-71.418404,41.472652],[-71.421157,41.469888],[-71.422991,41.472682],[-71.430744,41.470636],[-71.430926,41.465655],[-71.427935,41.459529],[-71.433612,41.444995],[-71.43767,41.441302],[-71.448948,41.438479],[-71.455845,41.432986],[-71.455371,41.407962],[-71.474918,41.386104],[-71.483295,41.371722],[-71.526724,41.376636],[-71.555381,41.373316],[-71.624505,41.36087],[-71.72074,41.331567],[-71.785957,41.325739],[-71.833755,41.315631],[-71.857432,41.306318],[-71.862772,41.309791],[-71.860513,41.320248]]],[[[-70.827398,41.602067],[-70.823735,41.598569],[-70.821743,41.583656],[-70.830087,41.585385],[-70.838452,41.59646],[-70.832044,41.606504],[-70.827398,41.602067]]],[[[-70.59628,41.471905],[-70.57485,41.468259],[-70.567356,41.471208],[-70.56328,41.469127],[-70.553277,41.452955],[-70.555588,41.430882],[-70.547567,41.415831],[-70.528581,41.4051],[-70.506984,41.400242],[-70.502372,41.392005],[-70.501306,41.385391],[-70.498959,41.384339],[-70.490758,41.383634],[-70.484503,41.38629],[-70.472604,41.399128],[-70.473035,41.408757],[-70.470788,41.412875],[-70.463833,41.419145],[-70.450431,41.420703],[-70.446233,41.39648],[-70.449268,41.380422],[-70.448262,41.353651],[-70.451084,41.348161],[-70.496162,41.346452],[-70.538294,41.348958],[-70.599157,41.349272],[-70.709826,41.341723],[-70.733253,41.336226],[-70.747541,41.329952],[-70.764188,41.318706],[-70.768015,41.311959],[-70.766166,41.308962],[-70.768687,41.303702],[-70.775665,41.300982],[-70.802083,41.314207],[-70.819415,41.327212],[-70.838777,41.347209],[-70.833802,41.353386],[-70.812309,41.355745],[-70.783291,41.347829],[-70.774974,41.349176],[-70.768901,41.353246],[-70.729225,41.397728],[-70.724366,41.398942],[-70.712432,41.40885],[-70.711493,41.41546],[-70.701378,41.430925],[-70.686881,41.441334],[-70.603555,41.482384],[-70.598444,41.481151],[-70.59628,41.471905]]],[[[-70.092142,41.297741],[-70.082072,41.299093],[-70.062565,41.308726],[-70.046088,41.321651],[-70.031332,41.339332],[-70.028805,41.359919],[-70.030924,41.367453],[-70.049564,41.3879],[-70.049053,41.391702],[-70.033514,41.385816],[-70.018446,41.36863],[-69.960277,41.278731],[-69.960181,41.264546],[-69.965725,41.252466],[-69.975,41.247392],[-70.001586,41.239353],[-70.015225,41.237964],[-70.083239,41.2444],[-70.096967,41.24085],[-70.118669,41.242351],[-70.170681,41.255881],[-70.237175,41.282724],[-70.256164,41.288123],[-70.266776,41.294453],[-70.273478,41.301528],[-70.275526,41.310464],[-70.260632,41.310092],[-70.249276,41.305623],[-70.244435,41.303203],[-70.240153,41.295384],[-70.229541,41.290171],[-70.20869,41.290171],[-70.196304,41.294612],[-70.12446,41.293851],[-70.092142,41.297741]]],[[[-71.383586,41.464782],[-71.389284,41.460605],[-71.390275,41.455043],[-71.399568,41.448596],[-71.40056,41.46094],[-71.395927,41.492215],[-71.386511,41.493071],[-71.378914,41.504948],[-71.391005,41.514578],[-71.392137,41.524468],[-71.384478,41.556736],[-71.379021,41.567772],[-71.373618,41.573214],[-71.370194,41.573963],[-71.36356,41.57086],[-71.359868,41.556308],[-71.363292,41.501952],[-71.360403,41.483121],[-71.380947,41.474561],[-71.383586,41.464782]]],[[[-71.326769,41.491286],[-71.325365,41.487601],[-71.327822,41.482985],[-71.343013,41.495615],[-71.341122,41.498598],[-71.326769,41.491286]]],[[[-71.3312,41.580318],[-71.335949,41.585898],[-71.337048,41.594688],[-71.333751,41.605859],[-71.329559,41.609097],[-71.326609,41.616114],[-71.325877,41.623988],[-71.333305,41.629536],[-71.34657,41.632229],[-71.362869,41.651457],[-71.366165,41.66098],[-71.348402,41.663727],[-71.338696,41.658782],[-71.336182,41.647961],[-71.342514,41.644791],[-71.343666,41.6399],[-71.330711,41.632992],[-71.314889,41.630398],[-71.30555,41.622523],[-71.303352,41.606591],[-71.307381,41.597984],[-71.317474,41.583187],[-71.326103,41.578583],[-71.3312,41.580318]]],[[[-71.281571,41.648207],[-71.278171,41.647309],[-71.274315,41.638125],[-71.283791,41.637797],[-71.286755,41.642725],[-71.283005,41.644434],[-71.281571,41.648207]]],[[[-71.58955,41.196557],[-71.580228,41.204837],[-71.576661,41.224434],[-71.573785,41.228436],[-71.561093,41.224207],[-71.554067,41.212957],[-71.564119,41.195372],[-71.565752,41.184373],[-71.560969,41.176186],[-71.550226,41.166787],[-71.544446,41.164912],[-71.543872,41.161321],[-71.547051,41.153684],[-71.5937,41.146339],[-71.599993,41.146932],[-71.611706,41.153239],[-71.613133,41.160281],[-71.605565,41.182139],[-71.594994,41.188392],[-71.58955,41.196557]]]]},\"properties\":{\"name\":\"Connecticut\",\"nation\":\"USA \"}}]}","volume":"2677","issue":"7","noUsgsAuthors":false,"publicationDate":"2023-03-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Jeznach, Lillian C. 0000-0002-5476-9232","orcid":"https://orcid.org/0000-0002-5476-9232","contributorId":297153,"corporation":false,"usgs":true,"family":"Jeznach","given":"Lillian","email":"","middleInitial":"C.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":882052,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Granato, Gregory E. 0000-0002-2561-9913","orcid":"https://orcid.org/0000-0002-2561-9913","contributorId":203250,"corporation":false,"usgs":true,"family":"Granato","given":"Gregory E.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":882053,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sharar-Salgado, Daniel 0000-0001-7251-1537","orcid":"https://orcid.org/0000-0001-7251-1537","contributorId":305388,"corporation":false,"usgs":false,"family":"Sharar-Salgado","given":"Daniel","email":"","affiliations":[{"id":54843,"text":"Federal Highway Administration","active":true,"usgs":false}],"preferred":false,"id":882054,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jones, Susan C. 0000-0002-5891-5209","orcid":"https://orcid.org/0000-0002-5891-5209","contributorId":64716,"corporation":false,"usgs":false,"family":"Jones","given":"Susan","email":"","middleInitial":"C.","affiliations":[{"id":34302,"text":"Federal Highway Administration (United States)","active":true,"usgs":false}],"preferred":false,"id":882055,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Imig, Daniel 0000-0002-5099-1266","orcid":"https://orcid.org/0000-0002-5099-1266","contributorId":329356,"corporation":false,"usgs":false,"family":"Imig","given":"Daniel","email":"","affiliations":[{"id":78575,"text":"Connecticut Department of Transportation","active":true,"usgs":false}],"preferred":false,"id":882056,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70242120,"text":"70242120 - 2023 - Climate change mitigation potential of Louisiana's coastal area: Current estimates and future projections","interactions":[],"lastModifiedDate":"2023-07-26T16:16:17.770228","indexId":"70242120","displayToPublicDate":"2023-03-18T08:41:49","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Climate change mitigation potential of Louisiana's coastal area: Current estimates and future projections","docAbstract":"

Coastal habitats can play an important role in climate change mitigation. As Louisiana implements its climate action plan and the restoration and risk-reduction projects outlined in its 2017 Louisiana Coastal Master Plan, it is critical to consider potential greenhouse gas (GHG) fluxes in coastal habitats. This study estimated the potential climate mitigation role of existing, converted, and restored coastal habitats for years 2005, 2020, 2025, 2030, and 2050, which align with the Governor of Louisiana's GHG reduction targets. An analytical framework was developed that considered (1) available scientific data on net ecosystem carbon balance fluxes per habitat and (2) habitat areas projected from modeling efforts used for the 2017 Louisiana Coastal Master Plan to estimate the net GHG flux of coastal area. The coastal area was estimated as net GHG sinks of −38.4 ± 10.6 and −43.2 ± 12.0 Tg CO2 equivalents (CO2e) in 2005 and 2020, respectively. The coastal area was projected to remain a net GHG sink in 2025 and 2030, both with and without the implementation of Coastal Master Plan projects (means ranged from −25.3 to −34.2 Tg CO2e). By 2050, with model-projected wetland loss and conversion of coastal habitats to open water due to coastal erosion and relative sea level rise, Louisiana's coastal area was projected to become a net source of GHG emissions both with and without the Coastal Master Plan projects. However, in the year 2050, the Louisiana Coastal Master Plan project implementation was projected to avoid the release of +8.8 ± 1.3 Tg CO2e compared with an alternative with no action. Reduction in current and future stressors to coastal habitats, including impacts from sea level rise, as well as the implementation of restoration projects could help to ensure coastal areas remain a natural climate solution.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.2847","usgsCitation":"Baustian, M.M., Liu, B., Moss, L.C., Dausman, A., and Pahl, J.W., 2023, Climate change mitigation potential of Louisiana's coastal area: Current estimates and future projections: Ecological Applications, v. 23, no. 4, e2847, 22 p.; Data Release, https://doi.org/10.1002/eap.2847.","productDescription":"e2847, 22 p.; Data Release","ipdsId":"IP-147080","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":444174,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/eap.2847","text":"Publisher Index Page"},{"id":415413,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":419359,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P94Z2MZV","text":"A subset of 2017 Louisiana Coastal Master Plan model output to estimate climate change mitigation potential of Louisiana’s coastal area"}],"country":"United States","state":"Louisiana","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -93.59801925944635,\n 30.689846184930914\n ],\n [\n -93.59801925944635,\n 28.629249419941743\n ],\n [\n -89.0431895005861,\n 28.629249419941743\n ],\n [\n -89.0431895005861,\n 30.689846184930914\n ],\n [\n -93.59801925944635,\n 30.689846184930914\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"23","issue":"4","noUsgsAuthors":false,"publicationDate":"2023-04-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Baustian, Melissa Millman 0000-0003-2467-2533","orcid":"https://orcid.org/0000-0003-2467-2533","contributorId":304015,"corporation":false,"usgs":true,"family":"Baustian","given":"Melissa","email":"","middleInitial":"Millman","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":868936,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liu, Bingqing","contributorId":304014,"corporation":false,"usgs":false,"family":"Liu","given":"Bingqing","email":"","affiliations":[{"id":13499,"text":"The Water Institute of the Gulf","active":true,"usgs":false}],"preferred":false,"id":868937,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moss, Leland C.","contributorId":272644,"corporation":false,"usgs":false,"family":"Moss","given":"Leland","email":"","middleInitial":"C.","affiliations":[{"id":13499,"text":"The Water Institute of the Gulf","active":true,"usgs":false}],"preferred":false,"id":868938,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":868939,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pahl, James W.","contributorId":304017,"corporation":false,"usgs":false,"family":"Pahl","given":"James","email":"","middleInitial":"W.","affiliations":[{"id":40763,"text":"Coastal Protection and Restoration Authority","active":true,"usgs":false}],"preferred":false,"id":868940,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70241818,"text":"70241818 - 2023 - Salvage using electrofishing methods caused minimal mortality of burrowed and emerged larval lampreys in dewatered habitats","interactions":[],"lastModifiedDate":"2024-01-24T17:12:18.488436","indexId":"70241818","displayToPublicDate":"2023-03-18T06:36:54","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Salvage using electrofishing methods caused minimal mortality of burrowed and emerged larval lampreys in dewatered habitats","docAbstract":"

Objective

Human-induced dewatering of freshwater habitats causes mortality of larval lampreys (family Petromyzontidae). Salvage by electrofishing at dewatering events is assumed to reduce this mortality, but to our knowledge this assumption remains unassessed.

Methods

We estimated mortality of salvaged larval lampreys (Lampetra spp. and Pacific Lamprey Entosphenus tridentatus) within 24 h following collection at field dewatering events in July and October. To assess when salvage may reduce mortality, we compared mortality of salvaged individuals from field dewatering events to mortality of burrowed and emerged individuals in dewatered habitats in the laboratory. Salvage protocols included electrofishing and foot pressure from walking in test enclosures before and after dewatering. Electrofishing after dewatering (“dry shocking”) involves positioning probes on moist sediment to entice burrowed larval lampreys to emerge.

Result

During the July salvage, air temperature averaged 36°C, bottom water temperature averaged 20°C, and many emerged larval lampreys were dead on the sediment surface. During two October events, air temperatures averaged 18 and 11°C, bottom water temperatures averaged 12 and 7°C, and only one dead emerged larval lamprey was observed. Estimated mortality of salvaged larval lampreys was 0.20 (90% credible interval = 0.09–0.37) in July and 0.00 (90% credible interval = 0.00–0.06) and 0.06 (90% credible interval = 0.01–0.18) in October. All larval lampreys that remained burrowed and were excavated from enclosures after salvage were dead in July but alive in October. Logistic regression suggested that mortality declined with increasing larval length. Mortality of salvaged 80-mm larval lampreys in October was lower than that of 80-mm individuals emerged for 1 h or burrowed for 8 h at similar water temperatures (8–10°C) in the laboratory.

Conclusion

In this study, electrofishing for salvage caused minimal mortality of burrowed and emerged larval lampreys in dewatered habitats. Thus, salvage using electrofishing methods could aid conservation of native lampreys by reducing mortality associated with human-induced dewatering events, especially when temperatures are elevated.

","language":"English","publisher":"Wiley","doi":"10.1002/nafm.10894","usgsCitation":"Harris, J.E., Liedtke, T.L., Skalicky, J.J., and Weiland, L.K., 2023, Salvage using electrofishing methods caused minimal mortality of burrowed and emerged larval lampreys in dewatered habitats: North American Journal of Fisheries Management, v. 43, no. 6, p. 1553-1566, https://doi.org/10.1002/nafm.10894.","productDescription":"14 p.","startPage":"1553","endPage":"1566","ipdsId":"IP-142268","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":498005,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/nafm.10894","text":"Publisher Index Page"},{"id":414806,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -119.80504720443415,\n 45.59714982675632\n ],\n [\n -119.80504720443415,\n 47.017425415416\n ],\n [\n -122.92684344647026,\n 47.017425415416\n ],\n [\n -122.92684344647026,\n 45.59714982675632\n ],\n [\n -119.80504720443415,\n 45.59714982675632\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"43","issue":"6","noUsgsAuthors":false,"publicationDate":"2023-03-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Harris, Julianne E. 0000-0003-1343-5911","orcid":"https://orcid.org/0000-0003-1343-5911","contributorId":247527,"corporation":false,"usgs":false,"family":"Harris","given":"Julianne","email":"","middleInitial":"E.","affiliations":[{"id":49569,"text":"U.S. Fish and Wildlife Service, Columbia River Fish and Wildlife Conservation Office, 1211 SE Cardinal Court, Suite 100, Vancouver, Washington 98683","active":true,"usgs":false}],"preferred":false,"id":867819,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":867820,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Skalicky, Joseph J. 0000-0002-6467-5037","orcid":"https://orcid.org/0000-0002-6467-5037","contributorId":247528,"corporation":false,"usgs":false,"family":"Skalicky","given":"Joseph","email":"","middleInitial":"J.","affiliations":[{"id":49569,"text":"U.S. Fish and Wildlife Service, Columbia River Fish and Wildlife Conservation Office, 1211 SE Cardinal Court, Suite 100, Vancouver, Washington 98683","active":true,"usgs":false}],"preferred":false,"id":867821,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":867822,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70241101,"text":"sir20235017 - 2023 - Per- and polyfluoroalkyl substances in groundwater from the Great Miami buried-valley aquifer, southwestern Ohio, 2019–20","interactions":[],"lastModifiedDate":"2026-03-02T22:05:38.701036","indexId":"sir20235017","displayToPublicDate":"2023-03-17T12:59:48","publicationYear":"2023","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":"2023-5017","displayTitle":"Per- and Polyfluoroalkyl Substances in Groundwater from the Great Miami Buried-Valley Aquifer, Southwestern Ohio, 2019–20","title":"Per- and polyfluoroalkyl substances in groundwater from the Great Miami buried-valley aquifer, southwestern Ohio, 2019–20","docAbstract":"

Groundwater samples were collected during 2019 and 2020 from 23 wells in the Great Miami buried-valley aquifer (GM-BVA) in southwestern Ohio by the U.S. Geological Survey, in cooperation with the Miami Conservancy District, Dayton, Ohio, to determine concentrations of selected per- and polyfluoroalkyl substances (PFAS). The GM-BVA is a glacial outwash and alluvial fill aquifer that is the sole source of water supply for much of the region. Wells had total depths that ranged from 21 to 101 feet below land surface, and groundwater levels that ranged from 1.39 to 52.15 feet below land surface before sampling in 2019.

Groundwater and related quality-control samples were sequentially collected from 22 of the 23 wells and analyzed for 24 different PFAS by 2 methods that used proprietary isotope-dilution based adaptations of U.S. Environmental Protection Agency (EPA) method 537.1, termed methods 1 and 2. Method 2 had smaller reporting limits (RL) for 22 of 24 PFAS analyzed and smaller detection limits (DLs) for all 24 PFAS analyzed compared with method 1, which made method 2 more sensitive to detect PFAS.

Concentrations of perfluorooctanesulfonate (PFOS) in a groundwater (GW)-method 2 sample from well CL–275 of 1.9 nanograms per liter (ng/L) and perfluorooctanoate (PFOA) in a GW-method 2 sample from well BU–1106 of 2.1 ng/L were greater than their EPA interim health advisory guidances for drinking water (as of June 2022) by about 9,500 and 52,500 percent, respectively. The EPA interim health advisory guidances for PFOS (0.02 ng/L) and PFOA (0.004 ng/L) were also 65 and 215 times less, respectively, than the smallest method 2 DLs for PFOS (1.3 ng/L) and PFOA (0.86 ng/L).

Other PFAS were either not detected in GM-BVA groundwater samples or were detected in concentrations less than Ohio action levels or Federal health-risk-based guidance. The most detected PFAS in groundwater was perfluorobutanesulfonate (PFBS), which had concentrations in samples from eight wells that ranged from 1.0 to 8.0 ng/L or from 0.05 to 0.4 percent of its EPA health advisory of 2,000 ng/L for drinking water.

The similarity of PFBS (7.8 ng/L), perfluoropentanesulfonate (PFPeS; 8.1 ng/L), and perfluorohexanesulfonate (PFHxS; 14 ng/L) concentrations yielded from the GW-method 1 sample from well CL–275 on July 9, 2019, to those of PFBS (8.0 ng/L), PFPeS (7.8 ng/L), and PFHxS (16 ng/L) from the paired GW-method 2 sample demonstrated the capability of both methods to reproduce PFAS concentrations that were greater than their respective DLs. Non-detection of these PFAS in follow-up GW-method 1 and sequential replicate (Rep–GW-method 1) samples from CL–275 on April 21, 2020, indicated that the 2019 results represented a transient detection in groundwater.

Eleven of twenty-three wells sampled in 2019 had from 1 to 4 PFAS detected in one or more groundwater samples or in a paired replicate sample: PFBS in 8 wells and 9 samples; PFHxS in 4 wells and 5 samples; and PFPeS, PFOS, perfluorobutanoate, perfluoropentanoate, PFOA, and perfluorooctanesulfonamide in 1 well and 1 sample each. More PFAS were detected in GW-method 2 samples than GW-method 1 samples because method 2 had smaller RLs and DLs. Results indicate benefits from the analysis of paired samples, sequential replicate samples, and other quality-control samples using analytical methods with sensitive RLs and DLs to verify PFAS concentrations in groundwater.

Groundwater-age estimates indicate that water produced from all sampled wells had infiltrated to the water table within the 1947–present (2022) period of PFAS use or environmental presence. Eight wells with detectable PFBS in groundwater from 2019 samples also had groundwater-recharge dates that ranged from 1991 to 2016. Those ages coincided with the possible environmental presence of PFBS as a PFAS byproduct or use as an alternative to PFOS after about 2002. Two wells that had detections of PFHxS in 2019 groundwater samples also had post-2000 groundwater-recharge dates that coincided with the period of use of PFHxS as an alternative to PFOS. Six of nine wells with more than 66-percent of urban land use that was within 0.3 miles of each well, as of 2012, also had 1 to 4 PFAS detected in one of their groundwater samples. Seven of nine wells that produced groundwater in 2019 with an oxic redox category also had one or more PFAS detected in a sample.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235017","collaboration":"Prepared in cooperation with Miami Conservancy District","usgsCitation":"Buszka, P.M., Mailot, B.E., and Mathes, N.A., 2023, Per- and polyfluoroalkyl substances in groundwater from the Great Miami buried-valley aquifer, southwestern Ohio, 2019–20: U.S. Geological Survey Scientific Investigations Report 2023–5017, 71 p., https://doi.org/10.3133/sir20235017.","productDescription":"Report: x, 71 p.; Data Release","numberOfPages":"71","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-119136","costCenters":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":413923,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9J7H3LB","text":"USGS data release","linkHelpText":"Per- and polyfluoroalkyl substance concentrations, age estimates, redox categories, and related data for groundwater from the Great Miami buried-valley aquifer, southwestern Ohio, 2019–20"},{"id":413918,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2023/5017/coverthb.jpg"},{"id":413920,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.er.usgs.gov/publication/sir20235017/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2023-5017"},{"id":413921,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2023/5017/sir20235017.XML"},{"id":413922,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2023/5017/images/"},{"id":413919,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2023/5017/sir20235017.pdf","text":"Report","size":"36.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2023-5017"},{"id":500711,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_114611.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Ohio","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -84.8370243365812,\n 39.08165626710482\n ],\n [\n -83.34351797428778,\n 39.08165626710482\n ],\n [\n -83.34351797428778,\n 40.49918868264902\n ],\n [\n -84.8370243365812,\n 40.49918868264902\n ],\n [\n -84.8370243365812,\n 39.08165626710482\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"

Director, Ohio-Kentucky-Indiana Water Science Center
U.S. Geological Survey
5957 Lakeside Boulevard
Indianapolis, IN 46278-1996

Contact Pubs Warehouse

","tableOfContents":"","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2023-03-17","noUsgsAuthors":false,"publicationDate":"2023-03-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Buszka, Paul M. 0000-0001-8218-826X pmbuszka@usgs.gov","orcid":"https://orcid.org/0000-0001-8218-826X","contributorId":1786,"corporation":false,"usgs":true,"family":"Buszka","given":"Paul","email":"pmbuszka@usgs.gov","middleInitial":"M.","affiliations":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":866083,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mailot, Brian E. 0000-0003-1602-7999 bemailot@usgs.gov","orcid":"https://orcid.org/0000-0003-1602-7999","contributorId":302979,"corporation":false,"usgs":true,"family":"Mailot","given":"Brian","email":"bemailot@usgs.gov","middleInitial":"E.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":866084,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mathes, Neal A. 0000-0002-0642-0407","orcid":"https://orcid.org/0000-0002-0642-0407","contributorId":302980,"corporation":false,"usgs":true,"family":"Mathes","given":"Neal","email":"","middleInitial":"A.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":866085,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70241478,"text":"70241478 - 2023 - Quantifying stream-loss recovery in a spring using dual-tracer injections in the Snake Creek drainage, Great Basin National Park, Nevada, USA","interactions":[],"lastModifiedDate":"2023-07-11T15:55:41.142007","indexId":"70241478","displayToPublicDate":"2023-03-17T08:43:35","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying stream-loss recovery in a spring using dual-tracer injections in the Snake Creek drainage, Great Basin National Park, Nevada, USA","docAbstract":"

Simultaneous short-pulse injections of two tracers (sodium bromide [Br–] and fluorescein dye) were made in a losing reach of Snake Creek in Great Basin National Park, Nevada, USA, to evaluate the quantity of stream loss through permeable carbonates that resurfaces at a spring approximately 10 km down drainage. A revised hydrogeologic cross section for a possible flow path of the infiltrated Snake Creek water is presented, and the results may inform water management in the region. First arrival and peak concentration of the two tracers occurred at 9.5 and 12.7 days after injection, respectively. Fracture transport simulations indicate that Br– preferentially diffuses into immobile regions of the aquifer, and this diffusive flux is likely responsible for the major differences in the breakthrough curves. When considering the diffusive tracer flux, total apparent Br– and fluorescein dye recoveries were 16.9–22.1% and 21.7–24.3%, respectively. These findings imply that consideration of diffusive flux and long-term monitoring in fracture-dominated flow may support accurate quantification of tracer recovery. In addition, the apparent power law slopes of the breakthrough tails for both tracers were steeper at early times than have been attributed to heterogeneous advection or channeling in meter-scale tests, but the late-time Br– power law slope becomes less steep than has been attributed to diffusive exchange. These deviations may reflect fracture transport patterns that occur at larger scales.

","language":"English","publisher":"Springer","doi":"10.1007/s10040-023-02619-4","usgsCitation":"Humphrey, C., Gardner, P.M., Spangler, L.E., Nelson, N.C., Toran, L., and Solomon, D.K., 2023, Quantifying stream-loss recovery in a spring using dual-tracer injections in the Snake Creek drainage, Great Basin National Park, Nevada, USA: Hydrogeology Journal, v. 31, p. 1051-1066, https://doi.org/10.1007/s10040-023-02619-4.","productDescription":"16 p.","startPage":"1051","endPage":"1066","ipdsId":"IP-130571","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":444184,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.1007/s10040-023-02619-4","text":"Publisher Index Page"},{"id":435409,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P93GAZX5","text":"USGS data release","linkHelpText":"Data from two tracer investigations in the Snake Creek drainage, Great Basin National Park, White Pine County, Nevada"},{"id":414433,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","otherGeospatial":"Great Basin National Park, Snake Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -114.3,\n 38.9583\n ],\n [\n -114.3,\n 38.9\n ],\n [\n -114.033,\n 38.9\n ],\n [\n -114.033,\n 38.9583\n ],\n [\n -114.3,\n 38.9583\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"31","noUsgsAuthors":false,"publicationDate":"2023-03-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Humphrey, C. Eric 0000-0002-1174-8458","orcid":"https://orcid.org/0000-0002-1174-8458","contributorId":303277,"corporation":false,"usgs":false,"family":"Humphrey","given":"C. Eric","affiliations":[{"id":65744,"text":"University of Utah, Dept. of Geology & Geophysics","active":true,"usgs":false}],"preferred":false,"id":866978,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gardner, Philip M. 0000-0003-3005-3587 pgardner@usgs.gov","orcid":"https://orcid.org/0000-0003-3005-3587","contributorId":962,"corporation":false,"usgs":true,"family":"Gardner","given":"Philip","email":"pgardner@usgs.gov","middleInitial":"M.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true},{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":866979,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Spangler, Lawrence E. 0000-0003-3928-8809 spangler@usgs.gov","orcid":"https://orcid.org/0000-0003-3928-8809","contributorId":973,"corporation":false,"usgs":true,"family":"Spangler","given":"Lawrence","email":"spangler@usgs.gov","middleInitial":"E.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":866980,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nelson, Nora C. 0000-0001-8248-2004","orcid":"https://orcid.org/0000-0001-8248-2004","contributorId":207229,"corporation":false,"usgs":true,"family":"Nelson","given":"Nora","email":"","middleInitial":"C.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":866981,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Toran, Laura","contributorId":81622,"corporation":false,"usgs":false,"family":"Toran","given":"Laura","email":"","affiliations":[{"id":34225,"text":"Temple University, Philadelphia, Pa.","active":true,"usgs":false}],"preferred":false,"id":866982,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Solomon, D. Kip","contributorId":201955,"corporation":false,"usgs":false,"family":"Solomon","given":"D.","email":"","middleInitial":"Kip","affiliations":[{"id":13252,"text":"University of Utah","active":true,"usgs":false}],"preferred":false,"id":866983,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70256528,"text":"70256528 - 2023 - Effects of environment and metacommunity delineation on multiple dimensions of stream fish beta diversity","interactions":[],"lastModifiedDate":"2024-08-21T16:46:56.236543","indexId":"70256528","displayToPublicDate":"2023-03-16T11:43:49","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3910,"text":"Frontiers in Ecology and Evolution","onlineIssn":"2296-701X","active":true,"publicationSubtype":{"id":10}},"title":"Effects of environment and metacommunity delineation on multiple dimensions of stream fish beta diversity","docAbstract":"

Introduction: Beta diversity represents changes in community composition among locations across a landscape. While the effects of human activities on beta diversity are becoming clearer, few studies have considered human effects on the three dimensions of beta diversity: taxonomic, functional, and phylogenetic. Including anthropogenic factors and multiple dimensions of biodiversity may explain additional variation in stream fish beta diversity, providing new insight into how metacommunities are structured within different spatial delineations.

Methods: In this study, we used a 350 site stream fish abundance dataset from South Carolina, United States to quantify beta diversity explainable by spatial, natural environmental, and anthropogenic variables. We investigated three spatial delineations: (1) a single whole-state metacommunity delineated by political boundaries, (2) two metacommunities delineated by a natural geomorphic break separating uplands from lowlands, and (3) four metacommunities delineated by natural watershed boundaries. Within each metacommunity we calculated taxonomic, functional, and phylogenetic beta diversity and used variation partitioning to quantify spatial, natural environmental, and anthropogenic contributions to variations in beta diversity.

Results: We explained 25–81% of the variation in stream fish beta diversity. The importance of these three factors in structuring metacommunities differed among the diversity dimensions, providing complementary perspectives on the processes shaping beta diversity in fish communities. The effect of spatial, natural environmental, and anthropogenic factors varied among the spatial delineations, which indicate conclusions drawn from variation partitioning may depend on the spatial delineation chosen by researchers.

Discussion: Our study highlights the importance of considering human effects on metacommunity structure, quantifying multiple dimensions of beta diversity, and careful consideration of user-defined metacommunity boundaries in beta diversity analyses.

","language":"English","publisher":"Frontiers Media","doi":"10.3389/fevo.2023.1077994","usgsCitation":"Stocsynski, L., Scott, M.C., Bower, L.M., and Peoples, B.K., 2023, Effects of environment and metacommunity delineation on multiple dimensions of stream fish beta diversity: Frontiers in Ecology and Evolution, v. 11, 1077994, 16 p., https://doi.org/10.3389/fevo.2023.1077994.","productDescription":"1077994, 16 p.","ipdsId":"IP-142686","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":444191,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.3389/fevo.2023.1077994","text":"Publisher Index Page"},{"id":433012,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Carolina","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-79.290754,33.110051],[-79.329909,33.089986],[-79.337169,33.072302],[-79.335346,33.065362],[-79.339313,33.050336],[-79.359961,33.006672],[-79.403712,33.003903],[-79.416515,33.006815],[-79.423447,33.015085],[-79.483499,33.001265],[-79.488727,33.015832],[-79.506923,33.032813],[-79.522449,33.03535],[-79.55756,33.021269],[-79.580725,33.006447],[-79.58659,32.991334],[-79.606615,32.972248],[-79.617611,32.952726],[-79.617715,32.94487],[-79.606194,32.925953],[-79.585897,32.926461],[-79.581687,32.931341],[-79.572614,32.933885],[-79.569762,32.926692],[-79.576006,32.906235],[-79.631149,32.888606],[-79.695141,32.850398],[-79.702956,32.835781],[-79.719879,32.825796],[-79.716761,32.813627],[-79.726389,32.805996],[-79.811021,32.77696],[-79.818237,32.766352],[-79.84035,32.756816],[-79.848527,32.755248],[-79.866742,32.757422],[-79.872232,32.752128],[-79.873605,32.745657],[-79.868352,32.734849],[-79.870336,32.727777],[-79.888028,32.695177],[-79.884961,32.684402],[-79.915682,32.664915],[-79.968468,32.639732],[-79.975248,32.639537],[-79.986917,32.626388],[-79.99175,32.616389],[-79.999374,32.611851],[-80.010505,32.608852],[-80.037276,32.610236],[-80.077039,32.603319],[-80.121368,32.590523],[-80.148406,32.578479],[-80.167286,32.559885],[-80.171764,32.546118],[-80.188401,32.553604],[-80.20523,32.555547],[-80.246361,32.531114],[-80.277681,32.516161],[-80.332438,32.478104],[-80.338354,32.47873],[-80.343883,32.490795],[-80.363956,32.496098],[-80.380716,32.486359],[-80.386827,32.47881],[-80.392561,32.475332],[-80.413487,32.470672],[-80.417896,32.476076],[-80.418502,32.490894],[-80.423454,32.497989],[-80.439407,32.503472],[-80.452078,32.497286],[-80.46571,32.4953],[-80.472068,32.496964],[-80.48025,32.477407],[-80.484617,32.460976],[-80.480156,32.447048],[-80.467588,32.425259],[-80.446075,32.423721],[-80.43296,32.410659],[-80.429941,32.401782],[-80.429291,32.389667],[-80.434303,32.375193],[-80.445451,32.350335],[-80.456814,32.336884],[-80.455192,32.326458],[-80.466342,32.31917],[-80.517871,32.298796],[-80.545688,32.282076],[-80.571096,32.273278],[-80.596394,32.273549],[-80.618286,32.260183],[-80.638857,32.255618],[-80.658634,32.248638],[-80.669166,32.216783],[-80.688857,32.200971],[-80.721463,32.160427],[-80.749091,32.140137],[-80.789996,32.122494],[-80.812503,32.109746],[-80.82153,32.108589],[-80.828394,32.113222],[-80.831531,32.112709],[-80.844431,32.109709],[-80.858735,32.099581],[-80.905378,32.051943],[-80.892344,32.043764],[-80.885517,32.0346],[-80.922794,32.039151],[-80.954482,32.068622],[-80.983133,32.079609],[-80.994333,32.094608],[-81.002297,32.100048],[-81.011961,32.100176],[-81.021622,32.090897],[-81.032674,32.08545],[-81.050234,32.085308],[-81.060442,32.087503],[-81.088234,32.10395],[-81.091498,32.110782],[-81.111134,32.112005],[-81.117234,32.117605],[-81.119994,32.134268],[-81.118334,32.144403],[-81.122034,32.161803],[-81.129634,32.165602],[-81.128134,32.169102],[-81.119434,32.175402],[-81.120434,32.178702],[-81.118234,32.189201],[-81.12315,32.201329],[-81.128283,32.208634],[-81.136012,32.212858],[-81.143139,32.221731],[-81.156587,32.24391],[-81.148334,32.255098],[-81.145834,32.263397],[-81.136534,32.272697],[-81.128034,32.276297],[-81.119633,32.287596],[-81.122333,32.305395],[-81.137633,32.328194],[-81.133032,32.334794],[-81.133632,32.341293],[-81.142532,32.350893],[-81.147632,32.349393],[-81.150589,32.34587],[-81.154,32.345924],[-81.155032,32.350093],[-81.170126,32.361318],[-81.169332,32.369436],[-81.181072,32.380398],[-81.178131,32.38459],[-81.177231,32.39169],[-81.20513,32.423788],[-81.20843,32.435987],[-81.201595,32.44136],[-81.202359,32.450448],[-81.192629,32.456286],[-81.186829,32.464086],[-81.194829,32.465086],[-81.200029,32.467985],[-81.233585,32.498488],[-81.238728,32.508896],[-81.234834,32.512271],[-81.23466,32.51627],[-81.252882,32.51833],[-81.277131,32.535417],[-81.274927,32.544158],[-81.281298,32.55644],[-81.297955,32.563026],[-81.320588,32.559534],[-81.328753,32.561228],[-81.366964,32.577059],[-81.369757,32.591231],[-81.373178,32.592115],[-81.379216,32.589022],[-81.389261,32.595383],[-81.393865,32.60234],[-81.411906,32.61841],[-81.41866,32.629392],[-81.418431,32.634704],[-81.414761,32.63744],[-81.41026,32.631392],[-81.407271,32.631737],[-81.402846,32.63621],[-81.405109,32.64269],[-81.393033,32.651543],[-81.398314,32.656307],[-81.405273,32.656517],[-81.407193,32.660519],[-81.401029,32.677494],[-81.40831,32.694908],[-81.4131,32.692648],[-81.427517,32.701896],[-81.421194,32.711978],[-81.418542,32.732586],[-81.411549,32.740145],[-81.410281,32.744653],[-81.416198,32.750428],[-81.415212,32.757753],[-81.417606,32.762684],[-81.426481,32.769023],[-81.425636,32.77184],[-81.421269,32.774658],[-81.421128,32.778039],[-81.428313,32.78311],[-81.429017,32.785505],[-81.424999,32.790334],[-81.423772,32.810514],[-81.419752,32.813731],[-81.417984,32.818196],[-81.421614,32.835178],[-81.426475,32.840773],[-81.444866,32.850967],[-81.451199,32.847925],[-81.453949,32.849761],[-81.455978,32.854107],[-81.451351,32.868583],[-81.45392,32.874074],[-81.475918,32.877641],[-81.479445,32.881082],[-81.4771,32.887469],[-81.464069,32.897814],[-81.479184,32.905638],[-81.483198,32.921802],[-81.502427,32.935353],[-81.502716,32.938688],[-81.499446,32.944988],[-81.507045,32.951194],[-81.508536,32.957156],[-81.506449,32.962423],[-81.49983,32.963816],[-81.494736,32.978998],[-81.491197,32.997824],[-81.492253,33.009342],[-81.50203,33.015113],[-81.511245,33.027786],[-81.519632,33.029181],[-81.538789,33.039185],[-81.544258,33.046905],[-81.553643,33.044137],[-81.557013,33.0451],[-81.559179,33.047386],[-81.560502,33.055207],[-81.57288,33.05418],[-81.588539,33.07085],[-81.594555,33.069887],[-81.599248,33.071813],[-81.600211,33.075182],[-81.598165,33.081078],[-81.601655,33.084688],[-81.608995,33.0818],[-81.609476,33.089862],[-81.612725,33.093953],[-81.617779,33.095277],[-81.637232,33.092952],[-81.646433,33.094552],[-81.658433,33.103152],[-81.683533,33.112651],[-81.696934,33.116551],[-81.704634,33.116451],[-81.743835,33.14145],[-81.763135,33.159449],[-81.766735,33.170749],[-81.772435,33.180449],[-81.765735,33.187948],[-81.760635,33.189248],[-81.756935,33.197848],[-81.763535,33.203648],[-81.768935,33.217447],[-81.774035,33.221147],[-81.780135,33.221147],[-81.777535,33.211347],[-81.784535,33.208147],[-81.805236,33.211447],[-81.807936,33.213747],[-81.809636,33.222647],[-81.827936,33.228746],[-81.837016,33.237652],[-81.846536,33.241746],[-81.851979,33.247382],[-81.853137,33.250745],[-81.847336,33.266345],[-81.840078,33.26704],[-81.838257,33.272975],[-81.844036,33.278644],[-81.851836,33.283544],[-81.861336,33.286244],[-81.863236,33.288844],[-81.861536,33.297944],[-81.849636,33.299544],[-81.846136,33.303843],[-81.847296,33.306783],[-81.867936,33.314043],[-81.875836,33.307443],[-81.884137,33.310443],[-81.886637,33.316943],[-81.897329,33.322331],[-81.896937,33.327642],[-81.900301,33.331117],[-81.906444,33.324181],[-81.909285,33.324181],[-81.919137,33.334442],[-81.917973,33.34159],[-81.924737,33.345341],[-81.932737,33.343541],[-81.939737,33.344941],[-81.934837,33.356041],[-81.944737,33.364041],[-81.946337,33.37064],[-81.939637,33.37254],[-81.930634,33.368165],[-81.925737,33.37114],[-81.924837,33.37414],[-81.930861,33.380076],[-81.936961,33.404197],[-81.92306,33.408266],[-81.920121,33.410753],[-81.91933,33.415613],[-81.924893,33.419307],[-81.927241,33.422846],[-81.926789,33.426576],[-81.924981,33.429288],[-81.916236,33.433114],[-81.913356,33.437418],[-81.913532,33.441274],[-81.926336,33.462937],[-81.934136,33.468337],[-81.985938,33.486536],[-81.990938,33.494235],[-81.991938,33.504435],[-82.001338,33.520135],[-82.007138,33.522835],[-82.011538,33.531735],[-82.019838,33.535035],[-82.028238,33.544934],[-82.033023,33.546454],[-82.037375,33.554662],[-82.046335,33.56383],[-82.057727,33.566774],[-82.073104,33.57751],[-82.094128,33.582742],[-82.10624,33.595637],[-82.115328,33.596501],[-82.12908,33.589925],[-82.142872,33.594278],[-82.148816,33.598092],[-82.156288,33.60863],[-82.174351,33.613117],[-82.186154,33.62088],[-82.196583,33.630582],[-82.201186,33.646898],[-82.200718,33.66464],[-82.208411,33.669872],[-82.216868,33.6844],[-82.234576,33.700216],[-82.237192,33.70788],[-82.235753,33.71439],[-82.239098,33.730872],[-82.247472,33.752591],[-82.255267,33.75969],[-82.263206,33.761962],[-82.266127,33.766745],[-82.277681,33.772032],[-82.285804,33.780058],[-82.298286,33.783518],[-82.300213,33.800627],[-82.313339,33.809205],[-82.32448,33.820033],[-82.346933,33.834298],[-82.371775,33.843813],[-82.37975,33.851086],[-82.395736,33.859089],[-82.403881,33.865477],[-82.422803,33.863754],[-82.43115,33.867051],[-82.440503,33.875123],[-82.455105,33.88165],[-82.480111,33.901897],[-82.492929,33.909754],[-82.50764,33.931456],[-82.51295,33.936969],[-82.524515,33.94336],[-82.534111,33.943651],[-82.543128,33.940949],[-82.556835,33.945353],[-82.564531,33.955741],[-82.568288,33.968772],[-82.579576,33.979761],[-82.580571,33.98514],[-82.575351,33.990904],[-82.576222,33.993106],[-82.583394,33.995286],[-82.589245,34.000118],[-82.595655,34.016118],[-82.594555,34.028717],[-82.609655,34.039917],[-82.626963,34.063457],[-82.630972,34.065528],[-82.635991,34.064941],[-82.64398,34.072237],[-82.645661,34.076046],[-82.640345,34.086304],[-82.641553,34.092212],[-82.648184,34.098649],[-82.658561,34.103118],[-82.666879,34.113591],[-82.668113,34.12016],[-82.67732,34.131657],[-82.68629,34.134454],[-82.692152,34.138986],[-82.70414,34.141007],[-82.717507,34.150504],[-82.723312,34.165895],[-82.731881,34.178363],[-82.732761,34.195338],[-82.74192,34.210063],[-82.740447,34.219679],[-82.744415,34.224913],[-82.74198,34.230196],[-82.744834,34.242957],[-82.744056,34.252407],[-82.748756,34.263407],[-82.746656,34.266407],[-82.755028,34.276067],[-82.770928,34.285402],[-82.780308,34.296701],[-82.781752,34.302901],[-82.78684,34.310381],[-82.794054,34.339772],[-82.835004,34.366069],[-82.836611,34.382676],[-82.841524,34.39013],[-82.841326,34.397332],[-82.847446,34.412049],[-82.848651,34.423844],[-82.854434,34.432275],[-82.855762,34.443977],[-82.860874,34.451469],[-82.860707,34.457428],[-82.875463,34.463503],[-82.876464,34.465803],[-82.873831,34.471508],[-82.876864,34.475303],[-82.902665,34.485902],[-82.922866,34.481402],[-82.928466,34.484202],[-82.940867,34.486102],[-82.947367,34.479602],[-82.954667,34.477302],[-82.960668,34.482002],[-82.979568,34.482702],[-82.992215,34.479198],[-82.995279,34.475648],[-82.99509,34.472483],[-83.002924,34.472132],[-83.029315,34.484147],[-83.034712,34.483495],[-83.043771,34.488816],[-83.054463,34.50289],[-83.069451,34.502131],[-83.087189,34.515939],[-83.077995,34.523746],[-83.087789,34.532078],[-83.102179,34.532179],[-83.103987,34.540166],[-83.122901,34.560129],[-83.129676,34.561699],[-83.152577,34.578299],[-83.154577,34.588198],[-83.170278,34.592398],[-83.169994,34.605444],[-83.179439,34.60802],[-83.196979,34.605998],[-83.199779,34.608398],[-83.211598,34.610905],[-83.23178,34.611297],[-83.243381,34.617997],[-83.240676,34.624307],[-83.255281,34.637696],[-83.271982,34.641896],[-83.292883,34.654196],[-83.300848,34.66247],[-83.301477,34.666582],[-83.304641,34.669561],[-83.316401,34.669316],[-83.321463,34.677543],[-83.330284,34.681342],[-83.336207,34.680534],[-83.33869,34.682002],[-83.340383,34.688998],[-83.349975,34.699155],[-83.347718,34.705474],[-83.352485,34.715993],[-83.353238,34.728648],[-83.348829,34.737194],[-83.338666,34.742295],[-83.320062,34.759616],[-83.319945,34.773725],[-83.323866,34.789712],[-83.313782,34.799911],[-83.301182,34.804008],[-83.302395,34.813241],[-83.294292,34.814725],[-83.289914,34.824477],[-83.275656,34.816862],[-83.268159,34.821393],[-83.267293,34.832748],[-83.269982,34.837196],[-83.267656,34.845289],[-83.254605,34.846402],[-83.252582,34.853483],[-83.24722,34.85844],[-83.245602,34.865522],[-83.240847,34.866736],[-83.238419,34.869771],[-83.239081,34.875661],[-83.22924,34.879907],[-83.220099,34.878124],[-83.213323,34.882796],[-83.205627,34.880142],[-83.201183,34.884653],[-83.204572,34.890284],[-83.203351,34.893717],[-83.186541,34.899534],[-83.168524,34.91788],[-83.160937,34.918269],[-83.153253,34.926342],[-83.140621,34.924915],[-83.130554,34.930932],[-83.129493,34.937402],[-83.121112,34.939129],[-83.121214,34.942684],[-83.126761,34.948742],[-83.127035,34.953778],[-83.12114,34.958966],[-83.120387,34.968406],[-83.106991,34.98272],[-83.1046,34.992783],[-83.108535,35.000771],[-82.787867,35.085024],[-82.783283,35.0856],[-82.776357,35.081349],[-82.781973,35.066817],[-82.777376,35.064143],[-82.764464,35.068177],[-82.757704,35.068019],[-82.754162,35.069629],[-82.749491,35.078487],[-82.738379,35.079453],[-82.729683,35.087827],[-82.72701,35.094142],[-82.715297,35.092943],[-82.703916,35.097651],[-82.694898,35.098456],[-82.688456,35.106347],[-82.691194,35.114721],[-82.68604,35.124545],[-82.683625,35.125833],[-82.676861,35.12535],[-82.669614,35.118103],[-82.662381,35.118123],[-82.642237,35.129215],[-82.629031,35.126155],[-82.621185,35.134635],[-82.609706,35.139039],[-82.59814,35.137729],[-82.59243,35.139002],[-82.588158,35.142928],[-82.578316,35.142104],[-82.569912,35.145268],[-82.563767,35.151575],[-82.556168,35.151736],[-82.554227,35.156911],[-82.550508,35.159498],[-82.540483,35.160306],[-82.529973,35.155617],[-82.521403,35.158851],[-82.516044,35.163442],[-82.495506,35.164312],[-82.483937,35.173798],[-82.476136,35.175486],[-82.467991,35.174633],[-82.460092,35.178143],[-82.455609,35.177425],[-82.452987,35.17469],[-82.451201,35.16526],[-82.439595,35.165863],[-82.435689,35.167715],[-82.424461,35.193092],[-82.419744,35.198613],[-82.403348,35.204473],[-82.39293,35.215402],[-82.384029,35.210542],[-82.378744,35.198053],[-82.380903,35.189565],[-82.376808,35.184427],[-82.371298,35.181449],[-82.364299,35.184725],[-82.361469,35.190831],[-82.344554,35.193115],[-82.340133,35.189188],[-82.333934,35.190661],[-82.330779,35.189032],[-82.330549,35.186767],[-82.32335,35.184789],[-82.315871,35.190678],[-82.295354,35.194965],[-82.288453,35.198605],[-82.27492,35.200071],[-82.176874,35.19379],[-81.716259,35.178852],[-81.241686,35.160081],[-81.043625,35.149877],[-81.047826,35.143743],[-81.051037,35.131654],[-81.038968,35.126299],[-81.033005,35.113747],[-81.032806,35.108049],[-81.037369,35.102541],[-81.046524,35.100617],[-81.052078,35.096276],[-81.057236,35.086129],[-81.058029,35.07319],[-81.057648,35.062433],[-81.041489,35.044703],[-80.93495,35.107409],[-80.884887,35.05351],[-80.782042,34.935782],[-80.797543,34.819786],[-80.499788,34.817261],[-79.870693,34.805378],[-79.675299,34.804744],[-79.358317,34.545358],[-79.249763,34.449774],[-78.541087,33.851112],[-78.553944,33.847831],[-78.584841,33.844282],[-78.67226,33.817587],[-78.714116,33.800138],[-78.772737,33.768511],[-78.812931,33.743472],[-78.862931,33.705654],[-78.938076,33.639826],[-79.007356,33.566565],[-79.028516,33.533365],[-79.084588,33.483669],[-79.10136,33.461016],[-79.135441,33.403867],[-79.147496,33.378243],[-79.152035,33.350925],[-79.158429,33.332811],[-79.162332,33.327246],[-79.180318,33.254141],[-79.180563,33.237955],[-79.172394,33.206577],[-79.18787,33.173712],[-79.195631,33.166016],[-79.215453,33.155569],[-79.238262,33.137055],[-79.24609,33.124865],[-79.290754,33.110051]]]},\"properties\":{\"name\":\"South Carolina\",\"nation\":\"USA \"}}]}","volume":"11","noUsgsAuthors":false,"publicationDate":"2023-03-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Stocsynski, Lauren","contributorId":341032,"corporation":false,"usgs":false,"family":"Stocsynski","given":"Lauren","email":"","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":907830,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scott, Mark C.","contributorId":341033,"corporation":false,"usgs":false,"family":"Scott","given":"Mark","email":"","middleInitial":"C.","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":907831,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bower, Luke Max 0000-0002-0739-858X","orcid":"https://orcid.org/0000-0002-0739-858X","contributorId":341034,"corporation":false,"usgs":true,"family":"Bower","given":"Luke","email":"","middleInitial":"Max","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":907832,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Peoples, Brandon K.","contributorId":177551,"corporation":false,"usgs":false,"family":"Peoples","given":"Brandon","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":907833,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70251433,"text":"70251433 - 2023 - A 600-kyr reconstruction of deep Arctic seawater δ18O from benthic foraminiferal oxygen isotopes and ostracode Mg/Ca paleothermometry","interactions":[],"lastModifiedDate":"2024-02-10T13:50:03.510105","indexId":"70251433","displayToPublicDate":"2023-03-16T07:43:24","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1250,"text":"Climate of the Past","active":true,"publicationSubtype":{"id":10}},"title":"A 600-kyr reconstruction of deep Arctic seawater δ18O from benthic foraminiferal oxygen isotopes and ostracode Mg/Ca paleothermometry","docAbstract":"

The oxygen isotopic composition of benthic foraminiferal tests (δ18Ob) is one of the pre-eminent tools for correlating marine sediments and interpreting past terrestrial ice volume and deep-ocean temperatures. Despite the prevalence of δ18Ob applications to marine sediment cores over the Quaternary, its use is limited in the Arctic Ocean because of low benthic foraminiferal abundances, challenges with constructing independent sediment core age models, and an apparent muted amplitude of Arctic δ18Ob variability compared to open-ocean records. Here we evaluate the controls on Arctic δ18Ob by using ostracode Mg/Ca\"> paleothermometry to generate a composite record of the δ18O of seawater (δ18Osw) from 12 sediment cores in the intermediate to deep Arctic Ocean (700–2700 m) that covers the last 600 kyr based on biostratigraphy and orbitally tuned age models. Results show that Arctic δ18Ob was generally higher than open-ocean δ18Ob during interglacials but was generally equivalent to global reference records during glacial periods. The reduced glacial–interglacial Arctic δ18Ob range resulted in part from the opposing effect of temperature, with intermediate to deep Arctic warming during glacials counteracting the whole-ocean δ18Osw increase from expanded terrestrial ice sheets. After removing the temperature effect from δ18Ob, we find that the intermediate to deep Arctic experienced large (≥1 ‰) variations in local δ18Osw, with generally higher local δ18Osw during interglacials and lower δ18Osw during glacials. Both the magnitude and timing of low local δ18Osw intervals are inconsistent with the recent proposal of freshwater intervals in the Arctic Ocean during past glaciations. Instead, we suggest that lower local δ18Osw in the intermediate to deep Arctic Ocean during glaciations reflected weaker upper-ocean stratification and more efficient transport of low-δ18Osw Arctic surface waters to depth by mixing and/or brine rejection.

","language":"English","publisher":"European Geophysical Union","doi":"10.5194/cp-19-555-2023","usgsCitation":"Farmer, J., Keller, K., Poirier, R., Dwyer, G.S., Schaller, M., Coxall, H.K., O’Regan, M., and Cronin, T.M., 2023, A 600-kyr reconstruction of deep Arctic seawater δ18O from benthic foraminiferal oxygen isotopes and ostracode Mg/Ca paleothermometry: Climate of the Past, v. 19, no. 3, p. 555-578, https://doi.org/10.5194/cp-19-555-2023.","productDescription":"24 p.","startPage":"555","endPage":"578","ipdsId":"IP-146090","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":444195,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/cp-19-555-2023","text":"Publisher Index Page"},{"id":425565,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"19","issue":"3","noUsgsAuthors":false,"publicationDate":"2023-03-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Farmer, Jesse","contributorId":279623,"corporation":false,"usgs":false,"family":"Farmer","given":"Jesse","affiliations":[{"id":6644,"text":"Princeton University","active":true,"usgs":false}],"preferred":false,"id":894561,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Keller, Katherine 0000-0001-6915-5455","orcid":"https://orcid.org/0000-0001-6915-5455","contributorId":218048,"corporation":false,"usgs":false,"family":"Keller","given":"Katherine","email":"","affiliations":[{"id":39732,"text":"Natural Systems Analysts, Harvard University","active":true,"usgs":false}],"preferred":false,"id":894562,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Poirier, Robert 0000-0001-5380-4545","orcid":"https://orcid.org/0000-0001-5380-4545","contributorId":261201,"corporation":false,"usgs":true,"family":"Poirier","given":"Robert","email":"","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":894563,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dwyer, Gary S.","contributorId":197070,"corporation":false,"usgs":false,"family":"Dwyer","given":"Gary","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":894564,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schaller, Morgan","contributorId":260723,"corporation":false,"usgs":false,"family":"Schaller","given":"Morgan","email":"","affiliations":[],"preferred":false,"id":894565,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Coxall, Helen K","contributorId":290629,"corporation":false,"usgs":false,"family":"Coxall","given":"Helen","email":"","middleInitial":"K","affiliations":[{"id":62460,"text":"Stockholm University, Stockholm Sweden","active":true,"usgs":false}],"preferred":false,"id":894566,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"O’Regan, Matt","contributorId":197135,"corporation":false,"usgs":false,"family":"O’Regan","given":"Matt","email":"","affiliations":[{"id":25421,"text":"Department of Geological Sciences, Stockholm University, Sweden","active":true,"usgs":false}],"preferred":false,"id":894567,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Cronin, Thomas M. 0000-0002-2643-0979 tcronin@usgs.gov","orcid":"https://orcid.org/0000-0002-2643-0979","contributorId":2579,"corporation":false,"usgs":true,"family":"Cronin","given":"Thomas","email":"tcronin@usgs.gov","middleInitial":"M.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":894568,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70241223,"text":"ofr20231007 - 2023 - Geospatial standard operating procedures of the Chesapeake Bay Program","interactions":[],"lastModifiedDate":"2023-03-16T10:48:56.467409","indexId":"ofr20231007","displayToPublicDate":"2023-03-16T05:45:00","publicationYear":"2023","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":"2023-1007","displayTitle":"Geospatial Standard Operating Procedures of the Chesapeake Bay Program","title":"Geospatial standard operating procedures of the Chesapeake Bay Program","docAbstract":"

Introduction 

The Chesapeake Bay Program (CBP) has operated a geographic information system (GIS) program since the early 1990s to address the established and growing need for and use of geospatial data, maps, and analysis within the CBP Partnership. This report is intended to detail the standard operating procedures of the CBP GIS program and address the quality assurance, quality control, and other technical activities that CBP will implement to ensure the commitment of the CBP GIS Team to performance standards (U.S. Environmental Protection Agency, 2003). The report is intended as an update to the 2011 Quality Assurance Project Plan (QAPP). For specialized tasks or analytical projects beyond the scope of this QAPP, a separate specialized QAPP with details on quality control, assurance procedures, and the geospatial methods associated with all aspects of the project may be required.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20231007","collaboration":"Prepared in cooperation with the University of Maryland Center for Environmental Science","usgsCitation":"Wolf, J., Ahmed, L., Claggett, P., Fitch, A., Irani, F., McDonald, S., Strong, D., Thompson, R., and Wei, Z., 2023, Geospatial standard operating procedures of the Chesapeake Bay Program: U.S. Geological Survey Open-File Report 2023–1007, 22 p., https://doi.org/10.3133/ofr20231007.","productDescription":"vi; 22 p.","numberOfPages":"22","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-116901","costCenters":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"links":[{"id":414217,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2023/1007/coverthb.jpg"},{"id":414218,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2023/1007/ofr20231007.pdf","text":"Report","size":"1.08 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2023-1007"},{"id":414219,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20231007/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2023-1007"},{"id":414220,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2023/1007/ofr20231007.XML"},{"id":414221,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2023/1007/images/"}],"contact":"

Director, Lower Mississippi-Gulf Water Science Center
U.S. Geological Survey
640 Grassmere Park Drive
Nashville, TN 37211

Contact Pubs Warehouse

","tableOfContents":"","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2023-03-16","noUsgsAuthors":false,"publicationDate":"2023-03-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Wolf, John C. 0000-0002-9970-2250","orcid":"https://orcid.org/0000-0002-9970-2250","contributorId":303114,"corporation":false,"usgs":true,"family":"Wolf","given":"John","email":"","middleInitial":"C.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":866578,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ahmed, Labeeb 0000-0003-4524-9611","orcid":"https://orcid.org/0000-0003-4524-9611","contributorId":303117,"corporation":false,"usgs":true,"family":"Ahmed","given":"Labeeb","email":"","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":866582,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Claggett, Peter 0000-0002-5335-2857","orcid":"https://orcid.org/0000-0002-5335-2857","contributorId":238920,"corporation":false,"usgs":true,"family":"Claggett","given":"Peter","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":866583,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fitch, Andrew 0000-0002-5213-9501","orcid":"https://orcid.org/0000-0002-5213-9501","contributorId":303120,"corporation":false,"usgs":true,"family":"Fitch","given":"Andrew","email":"","affiliations":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"preferred":true,"id":866586,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Irani, Frederick 0000-0002-2424-0135 firani@usgs.gov","orcid":"https://orcid.org/0000-0002-2424-0135","contributorId":303119,"corporation":false,"usgs":true,"family":"Irani","given":"Frederick","email":"firani@usgs.gov","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":866585,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McDonald, Sarah 0000-0003-3534-325X","orcid":"https://orcid.org/0000-0003-3534-325X","contributorId":303116,"corporation":false,"usgs":true,"family":"McDonald","given":"Sarah","email":"","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":866581,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Strong, David 0000-0002-4687-8076 dstrong@usgs.gov","orcid":"https://orcid.org/0000-0002-4687-8076","contributorId":303118,"corporation":false,"usgs":true,"family":"Strong","given":"David","email":"dstrong@usgs.gov","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":866584,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Thompson, Renee 0000-0003-1463-5173 rthompson1@usgs.gov","orcid":"https://orcid.org/0000-0003-1463-5173","contributorId":303115,"corporation":false,"usgs":true,"family":"Thompson","given":"Renee","email":"rthompson1@usgs.gov","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":866579,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wei, Zhaoying","contributorId":245828,"corporation":false,"usgs":false,"family":"Wei","given":"Zhaoying","email":"","affiliations":[{"id":7083,"text":"University of Maryland","active":true,"usgs":false}],"preferred":false,"id":866580,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70262886,"text":"70262886 - 2023 - Dynamics of the December 2020 ash-poor plume formed by lava-water interaction at the summit of Kilauea Volcano, Hawaii","interactions":[],"lastModifiedDate":"2025-01-27T17:34:03.218669","indexId":"70262886","displayToPublicDate":"2023-03-16T00:00:00","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1757,"text":"Geochemistry, Geophysics, Geosystems","active":true,"publicationSubtype":{"id":10}},"title":"Dynamics of the December 2020 ash-poor plume formed by lava-water interaction at the summit of Kilauea Volcano, Hawaii","docAbstract":"

On 20 December 2020, after more than 2 years of quiescence at Kīlauea Volcano, Hawaiʻi, renewed volcanic activity in the summit crater caused boiling of the water lake over a period of ∼90 min. The resulting water-rich, electrified plume rose to 11–13 km above sea level, which is among the highest plumes on record for Kīlauea. Although conventional models would infer a high mass flux from explosive magma-water interaction, the plume was not associated with an infrasound signal indicative of “explosive” activity, nor did it produce a measurable ash-fall deposit. We use multisensor data to characterize lava-water interaction and plume generation during this opening phase of the 2020–21 eruption. Satellite, weather radar, and eyewitness observations revealed that the plume was rich in water vapor and hydrometeors but transported less ash than expected from its maximum height. Volcanic lightning flashes detected by ground-based cameras were confined to freezing altitudes of the upper cloud, suggesting that the ice formation drove the electrification of this plume. The low acoustic energy from lava-water interaction points to a weakly explosive style of hydrovolcanism. Heat transfer calculations show that the lava to water heat flux was sufficient to boil the lake within 90 min. Limited mixing of lava and water inhibited major steam explosions and fine fragmentation. Results from one-dimensional plume modeling suggest that the models may underpredict plume height due to overestimation of crosswind air-entrainment. Our findings shed light on an unusual style of volcanism in which weakly explosive lava-water interaction generated an outsized plume.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2022GC010718","usgsCitation":"Cahalan, R.C., Mastin, L.G., Van Eaton, A.R., Hurwitz, S., Smith, A., Dufek, J., Solovitz, S.A., Patrick, M.R., Schmith, J., Parcheta, C., Thelen, W., and Downs, D.T., 2023, Dynamics of the December 2020 ash-poor plume formed by lava-water interaction at the summit of Kilauea Volcano, Hawaii: Geochemistry, Geophysics, Geosystems, v. 24, no. 3, e2022GC010718, 23 p., https://doi.org/10.1029/2022GC010718.","productDescription":"e2022GC010718, 23 p.","ipdsId":"IP-145500","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":489752,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2022gc010718","text":"Publisher Index Page"},{"id":481272,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kilauea Volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -155.2803669612127,\n 19.458319847666203\n ],\n [\n -155.2803669612127,\n 19.37101672587596\n ],\n [\n -155.17107998542878,\n 19.37101672587596\n ],\n [\n -155.17107998542878,\n 19.458319847666203\n ],\n [\n -155.2803669612127,\n 19.458319847666203\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"24","issue":"3","noUsgsAuthors":false,"publicationDate":"2023-03-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Cahalan, Ryan Cain 0000-0002-3322-0654","orcid":"https://orcid.org/0000-0002-3322-0654","contributorId":302355,"corporation":false,"usgs":true,"family":"Cahalan","given":"Ryan","email":"","middleInitial":"Cain","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":925179,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mastin, Larry G. 0000-0002-4795-1992","orcid":"https://orcid.org/0000-0002-4795-1992","contributorId":265985,"corporation":false,"usgs":true,"family":"Mastin","given":"Larry","email":"","middleInitial":"G.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":925180,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Van Eaton, Alexa R. 0000-0001-6646-4594 avaneaton@usgs.gov","orcid":"https://orcid.org/0000-0001-6646-4594","contributorId":184079,"corporation":false,"usgs":true,"family":"Van Eaton","given":"Alexa","email":"avaneaton@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":925181,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hurwitz, Shaul 0000-0001-5142-6886 shaulh@usgs.gov","orcid":"https://orcid.org/0000-0001-5142-6886","contributorId":2169,"corporation":false,"usgs":true,"family":"Hurwitz","given":"Shaul","email":"shaulh@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":925182,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smith, Adam B.","contributorId":328715,"corporation":false,"usgs":false,"family":"Smith","given":"Adam B.","affiliations":[{"id":38790,"text":"Missouri Botanical Garden","active":true,"usgs":false}],"preferred":false,"id":925183,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dufek, Josef","contributorId":194001,"corporation":false,"usgs":false,"family":"Dufek","given":"Josef","email":"","affiliations":[],"preferred":false,"id":925184,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Solovitz, Stephen A. 0000-0001-7019-2958","orcid":"https://orcid.org/0000-0001-7019-2958","contributorId":257659,"corporation":false,"usgs":false,"family":"Solovitz","given":"Stephen","email":"","middleInitial":"A.","affiliations":[{"id":52077,"text":"Washington State University, Vancouver","active":true,"usgs":false}],"preferred":false,"id":925185,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Patrick, Matthew R. 0000-0002-8042-6639 mpatrick@usgs.gov","orcid":"https://orcid.org/0000-0002-8042-6639","contributorId":2070,"corporation":false,"usgs":true,"family":"Patrick","given":"Matthew","email":"mpatrick@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":925186,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Schmith, Jo 0000-0002-0912-7441","orcid":"https://orcid.org/0000-0002-0912-7441","contributorId":304399,"corporation":false,"usgs":true,"family":"Schmith","given":"Jo","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":925187,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Parcheta, Carolyn 0000-0001-6556-4630 cparcheta@usgs.gov","orcid":"https://orcid.org/0000-0001-6556-4630","contributorId":215617,"corporation":false,"usgs":true,"family":"Parcheta","given":"Carolyn","email":"cparcheta@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":925188,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Thelen, Weston 0000-0003-2534-5577","orcid":"https://orcid.org/0000-0003-2534-5577","contributorId":215530,"corporation":false,"usgs":true,"family":"Thelen","given":"Weston","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":925189,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Downs, Drew T. 0000-0002-9056-1404 ddowns@usgs.gov","orcid":"https://orcid.org/0000-0002-9056-1404","contributorId":173516,"corporation":false,"usgs":true,"family":"Downs","given":"Drew","email":"ddowns@usgs.gov","middleInitial":"T.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":925190,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70254295,"text":"70254295 - 2023 - Development of a benchmark eddy flux evapotranspiration dataset for evaluation of satellite-driven evapotranspiration models over the CONUS","interactions":[],"lastModifiedDate":"2024-05-17T14:39:17.114319","indexId":"70254295","displayToPublicDate":"2023-03-15T09:36:07","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":681,"text":"Agricultural and Forest Meteorology","active":true,"publicationSubtype":{"id":10}},"title":"Development of a benchmark eddy flux evapotranspiration dataset for evaluation of satellite-driven evapotranspiration models over the CONUS","docAbstract":"

A large sample of ground-based evapotranspiration (ET) measurements made in the United States, primarily from eddy covariance systems, were post-processed to produce a benchmark ET dataset. The dataset was produced primarily to support the intercomparison and evaluation of the OpenET satellite-based remote sensing ET (RSET) models and could also be used to evaluate ET data from other models and approaches. OpenET is a web-based service that makes field-delineated and pixel-level ET estimates from well-established RSET models readily available to water managers, agricultural producers, and the public. The benchmark dataset is composed of flux and meteorological data from a variety of providers covering native vegetation and agricultural settings. Flux footprint predictions were developed for each station and included static flux footprints developed based on average wind direction and speed, as well as dynamic hourly footprints that were generated with a physically based model of upwind source area. The two footprint prediction methods were rigorously compared to evaluate their relative spatial coverage. Data from all sources were post-processed in a consistent and reproducible manner including data handling, gap-filling, temporal aggregation, and energy balance closure correction. The resulting dataset included 243,048 daily and 5,284 monthly ET values from 194 stations, with all data falling between 1995 and 2021. We assessed average daily energy imbalance using 172 flux sites with a total of 193,021 days of data, finding that overall turbulent fluxes were understated by about 12% on average relative to available energy. Multiple linear regression analyses indicated that daily average latent energy flux may be typically understated slightly more than sensible heat flux. This dataset was developed to provide a consistent reference to support evaluation of RSET data being developed for a wide range of applications related to water accounting and water resources management at field to watershed scales.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.agrformet.2023.109307","usgsCitation":"Volk, J.M., Huntington, J., Melton, F.M., Allen, R., Anderson, M.C., Fisher, J.B., Kilic, A., Senay, G.B., Halverson, G., Knipper, K., Minor, B., Pearson, C., Wang, T., Yang, Y., Evett, S.R., French, A.N., Jasoni, R.L., and Kustas, W.P., 2023, Development of a benchmark eddy flux evapotranspiration dataset for evaluation of satellite-driven evapotranspiration models over the CONUS: Agricultural and Forest Meteorology, v. 331, 109307, 15 p., https://doi.org/10.1016/j.agrformet.2023.109307.","productDescription":"109307, 15 p.","ipdsId":"IP-147475","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":444209,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.agrformet.2023.109307","text":"Publisher Index Page"},{"id":428802,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"continental 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}","volume":"331","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Volk, J. M.","contributorId":269921,"corporation":false,"usgs":false,"family":"Volk","given":"J.","middleInitial":"M.","affiliations":[{"id":16138,"text":"Desert Research Institute","active":true,"usgs":false}],"preferred":false,"id":900908,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Huntington, Justin","contributorId":269892,"corporation":false,"usgs":false,"family":"Huntington","given":"Justin","affiliations":[{"id":16138,"text":"Desert Research Institute","active":true,"usgs":false}],"preferred":false,"id":900909,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Melton, Forrest M.","contributorId":336726,"corporation":false,"usgs":false,"family":"Melton","given":"Forrest","email":"","middleInitial":"M.","affiliations":[{"id":38788,"text":"NASA","active":true,"usgs":false}],"preferred":false,"id":900910,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Allen, Richard","contributorId":269898,"corporation":false,"usgs":false,"family":"Allen","given":"Richard","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":900911,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Anderson, Martha C.","contributorId":294406,"corporation":false,"usgs":false,"family":"Anderson","given":"Martha","email":"","middleInitial":"C.","affiliations":[{"id":18168,"text":"USDA ARS","active":true,"usgs":false}],"preferred":false,"id":900912,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fisher, Joshua B.","contributorId":211503,"corporation":false,"usgs":false,"family":"Fisher","given":"Joshua","email":"","middleInitial":"B.","affiliations":[{"id":36392,"text":"Jet Propulsion Laboratory","active":true,"usgs":false}],"preferred":false,"id":900913,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kilic, Ayse","contributorId":269913,"corporation":false,"usgs":false,"family":"Kilic","given":"Ayse","email":"","affiliations":[{"id":16587,"text":"University of Nebraska Lincoln","active":true,"usgs":false}],"preferred":false,"id":900914,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Senay, Gabriel B. 0000-0002-8810-8539 senay@usgs.gov","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":3114,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel","email":"senay@usgs.gov","middleInitial":"B.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":900915,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Halverson, Gregory","contributorId":269908,"corporation":false,"usgs":false,"family":"Halverson","given":"Gregory","email":"","affiliations":[{"id":39807,"text":"NASA Jet Propulsion Lab","active":true,"usgs":false}],"preferred":false,"id":900916,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Knipper, Kyle","contributorId":333373,"corporation":false,"usgs":false,"family":"Knipper","given":"Kyle","email":"","affiliations":[{"id":79855,"text":"USDA Agriculture Research Service","active":true,"usgs":false}],"preferred":false,"id":900917,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Minor, Blake","contributorId":269914,"corporation":false,"usgs":false,"family":"Minor","given":"Blake","email":"","affiliations":[{"id":16138,"text":"Desert Research Institute","active":true,"usgs":false}],"preferred":false,"id":900918,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Pearson, Christopher","contributorId":336727,"corporation":false,"usgs":false,"family":"Pearson","given":"Christopher","affiliations":[{"id":16138,"text":"Desert Research Institute","active":true,"usgs":false}],"preferred":false,"id":900919,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Wang, Tianxin","contributorId":333378,"corporation":false,"usgs":false,"family":"Wang","given":"Tianxin","email":"","affiliations":[{"id":79858,"text":"Unversity of California Berkeley","active":true,"usgs":false}],"preferred":false,"id":900920,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Yang, Yun","contributorId":333379,"corporation":false,"usgs":false,"family":"Yang","given":"Yun","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":900921,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Evett, Steven R. 0000-0003-3418-5771","orcid":"https://orcid.org/0000-0003-3418-5771","contributorId":244949,"corporation":false,"usgs":false,"family":"Evett","given":"Steven","email":"","middleInitial":"R.","affiliations":[{"id":18168,"text":"USDA ARS","active":true,"usgs":false}],"preferred":false,"id":900922,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"French, Andrew N.","contributorId":336728,"corporation":false,"usgs":false,"family":"French","given":"Andrew","email":"","middleInitial":"N.","affiliations":[{"id":36658,"text":"U.S. Department of Agriculture","active":true,"usgs":false}],"preferred":false,"id":900923,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Jasoni, Richard L.","contributorId":201942,"corporation":false,"usgs":false,"family":"Jasoni","given":"Richard","email":"","middleInitial":"L.","affiliations":[{"id":16138,"text":"Desert Research Institute","active":true,"usgs":false}],"preferred":false,"id":900924,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"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":900925,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}} ,{"id":70241200,"text":"fs20233006 - 2023 - Application of geophysical methods to enhance aquifer characterization and groundwater-flow model development, Des Moines River alluvial aquifer, Des Moines, Iowa, 2022","interactions":[],"lastModifiedDate":"2026-02-04T20:37:47.514644","indexId":"fs20233006","displayToPublicDate":"2023-03-14T16:03:33","publicationYear":"2023","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":"2023-3006","displayTitle":"Application of Geophysical Methods to Enhance Aquifer Characterization and Groundwater-Flow Model Development, Des Moines River Alluvial Aquifer, Des Moines, Iowa, 2022","title":"Application of geophysical methods to enhance aquifer characterization and groundwater-flow model development, Des Moines River alluvial aquifer, Des Moines, Iowa, 2022","docAbstract":"

Des Moines Water Works (DMWW) is one of the largest water providers in Iowa and as population growth continues, demand for drinking water is increasing. DMWW uses groundwater and surface water as raw water sources to supply the City of Des Moines and surrounding communities. In response to current and future demands, DMWW is in need of a thorough understanding of local groundwater resources, specifically the Des Moines River alluvial aquifer. The Des Moines River alluvial aquifer is hydraulically connected to the Des Moines River and consists of alluvial deposits and glacial outwash sands and gravels. To ensure a sustainable groundwater supply, additional information to better understand and manage groundwater availability within the Des Moines River alluvial aquifer would be beneficial. Beginning in 2018, DMWW partnered with the U.S. Geological Survey to construct a groundwater-flow model to increase understanding of the hydrologic system in the Des Moines area. The model hydrogeologic framework will be enhanced by using multiple geophysical methods of data collection in the Des Moines River, Beaver Creek, and the Des Moines River alluvial aquifer that could provide a better understanding of the geology in the model area.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20233006","usgsCitation":"Thomas, J.C., Spring, M.A., Gruhn, L.R., and Bristow, E.L., 2023, Application of geophysical methods to enhance aquifer characterization and groundwater-flow model development, Des Moines River alluvial aquifer, Des Moines, Iowa, 2022: U.S. Geological Survey Fact Sheet 2023–3006, 4 p., https://doi.org/10.3133/fs20233006.","productDescription":"Report: 4 p.; 2 Data Releases; Dataset","numberOfPages":"4","onlineOnly":"Y","ipdsId":"IP-136349","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":414104,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2023/3006/fs20233006.pdf","text":"Report","size":"2.95 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2023–3006"},{"id":414105,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2023/3006/fs20233006.XML","description":"FS 2023–3006"},{"id":414103,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2023/3006/coverthb2.jpg"},{"id":414112,"rank":6,"type":{"id":28,"text":"Dataset"},"url":"https://www.usgs.gov/national-hydrography/access-national-hydrography-products","text":"USGS dataset","linkHelpText":"—National Hydrography Dataset— USGS National Hydrography Dataset Best Resolution for Hydrologic Unit 4 – 2001"},{"id":414109,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9B9AVKJ","text":"USGS data release","linkHelpText":"Geophysical data collected in the Des Moines River, Beaver Creek, and the Des Moines River floodplain, Des Moines, Iowa, 2018"},{"id":414110,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9F3CKLC","text":"USGS data release","linkHelpText":"MODFLOW-NWT model used to simulate groundwater levels in the Des Moines River alluvial aquifer near Des Moines, Iowa"},{"id":499566,"rank":9,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_114475.htm","linkFileType":{"id":5,"text":"html"}},{"id":414138,"rank":8,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.er.usgs.gov/publication/fs20233006/full","text":"Report","linkFileType":{"id":5,"text":"html"}},{"id":414113,"rank":7,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2023/3006/images"}],"country":"United States","state":"Iowa","city":"Des Moines","otherGeospatial":"Des Moines River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -93.69895287733283,\n 41.66093681949087\n ],\n [\n -93.69895287733283,\n 41.52388190639587\n ],\n [\n -93.51363729010005,\n 41.52388190639587\n ],\n [\n -93.51363729010005,\n 41.66093681949087\n ],\n [\n -93.69895287733283,\n 41.66093681949087\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"

Director, Central Midwest Water Science Center
U.S. Geological Survey
405 North Goodwin
Urbana, IL 61801

Contact Pubs Warehouse

","tableOfContents":"","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2023-03-14","noUsgsAuthors":false,"publicationDate":"2023-03-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Thomas, Judith C. 0000-0001-7883-1419 juthomas@usgs.gov","orcid":"https://orcid.org/0000-0001-7883-1419","contributorId":1468,"corporation":false,"usgs":true,"family":"Thomas","given":"Judith","email":"juthomas@usgs.gov","middleInitial":"C.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":866417,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Spring, Morgan A. 0000-0002-8781-604X mspring@usgs.gov","orcid":"https://orcid.org/0000-0002-8781-604X","contributorId":303050,"corporation":false,"usgs":true,"family":"Spring","given":"Morgan","email":"mspring@usgs.gov","middleInitial":"A.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":866418,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gruhn, Lance R. 0000-0002-7120-3003 lgruhn@usgs.gov","orcid":"https://orcid.org/0000-0002-7120-3003","contributorId":219710,"corporation":false,"usgs":true,"family":"Gruhn","given":"Lance","email":"lgruhn@usgs.gov","middleInitial":"R.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":866419,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bristow, Emilia L. 0000-0002-7939-166X ebristow@usgs.gov","orcid":"https://orcid.org/0000-0002-7939-166X","contributorId":214538,"corporation":false,"usgs":true,"family":"Bristow","given":"Emilia L.","email":"ebristow@usgs.gov","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":866420,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70250381,"text":"70250381 - 2023 - Stream temperature prediction in a shifting environment: The influence of deep learning architecture","interactions":[],"lastModifiedDate":"2023-12-06T12:43:59.163691","indexId":"70250381","displayToPublicDate":"2023-03-14T06:40:46","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Stream temperature prediction in a shifting environment: The influence of deep learning architecture","docAbstract":"

Stream temperature is a fundamental control on ecosystem health. Recent efforts incorporating process guidance into deep learning models for predicting stream temperature have been shown to outperform existing statistical and physical models. This performance is in part because deep learning architectures can actively learn spatiotemporal relationships that govern how water and energy propagate through a river network. However, exploration of how spatiotemporal awareness and process guidance influence a model's generalizability under shifting environmental conditions such as climate change is limited. Here, we use Explainable Artificial Intelligence (XAI) to interrogate how differing deep learning architectures affect a model's learned spatial and temporal dependencies, and how those learned dependencies affect a model's ability to maintain high accuracy when applied to unseen environmental conditions. Using the Delaware River Basin in the northeastern United States as a test case, we compare two spatiotemporally aware process-guided deep learning models for predicting stream temperature (a recurrent graph convolution network—RGCN, and a temporal convolution graph model—Graph WaveNet). Both models achieve equally high predictive performance when testing data are well represented in the training data (test root mean squared errors of 1.64°C and 1.65°C); however, Graph WaveNet significantly outperforms RGCN in 4 out of 5 experiments where test partitions represent different types of unseen environmental conditions. XAI results show that the architecture of Graph WaveNet leads to learned spatial relationships with greater fidelity to physical processes, and that this fidelity improves the generalizability of the model when applied to shifting and/or unseen environmental conditions.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2022WR033880","usgsCitation":"Topp, S.N., Barclay, J.R., Diaz, J.A., Sun, A.Y., Jia, X., Lubin, D., Sadler, J., and Appling, A.P., 2023, Stream temperature prediction in a shifting environment: The influence of deep learning architecture: Water Resources Research, v. 59, no. 4, e2022WR033880, 19 p., https://doi.org/10.1029/2022WR033880.","productDescription":"e2022WR033880, 19 p.","ipdsId":"IP-146111","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"links":[{"id":444217,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2022wr033880","text":"Publisher Index Page"},{"id":435412,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9HU7BLR","text":"USGS data release","linkHelpText":"Examining the influence of deep learning architecture on generalizability for predicting stream temperature in the Delaware River Basin"},{"id":423260,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Delaware River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -75.07997541667648,\n 38.70906787639316\n ],\n [\n -74.80531721355018,\n 39.00778043156808\n ],\n [\n -74.33839826823872,\n 40.4450386444411\n ],\n [\n -73.72865705730113,\n 40.994591290300974\n ],\n [\n -73.7835886979261,\n 42.478350475454334\n ],\n [\n -75.40956526042564,\n 42.295772510663625\n ],\n [\n -75.42055158855078,\n 41.8349594674406\n ],\n [\n -76.34340315105082,\n 40.43667721449637\n ],\n [\n -75.78859358073888,\n 39.713504216020766\n ],\n [\n -75.76662092448927,\n 39.578152174338356\n ],\n [\n -75.66225080730156,\n 39.41283383409595\n ],\n [\n -75.50294904948888,\n 39.22584914314203\n ],\n [\n -75.47548322917642,\n 39.042631522344635\n ],\n [\n -75.33266096355176,\n 38.846103881559685\n ],\n [\n -75.07997541667648,\n 38.70906787639316\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"59","issue":"4","noUsgsAuthors":false,"publicationDate":"2023-04-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Topp, Simon Nemer 0000-0001-7741-5982","orcid":"https://orcid.org/0000-0001-7741-5982","contributorId":268229,"corporation":false,"usgs":true,"family":"Topp","given":"Simon","email":"","middleInitial":"Nemer","affiliations":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"preferred":true,"id":889640,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barclay, Janet R. 0000-0003-1643-6901 jbarclay@usgs.gov","orcid":"https://orcid.org/0000-0003-1643-6901","contributorId":222437,"corporation":false,"usgs":true,"family":"Barclay","given":"Janet","email":"jbarclay@usgs.gov","middleInitial":"R.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":889641,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Diaz, Jeremy Alejandro 0000-0001-7087-7949","orcid":"https://orcid.org/0000-0001-7087-7949","contributorId":302986,"corporation":false,"usgs":true,"family":"Diaz","given":"Jeremy","email":"","middleInitial":"Alejandro","affiliations":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"preferred":true,"id":889642,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sun, Alexander Y. 0000-0002-6365-8526","orcid":"https://orcid.org/0000-0002-6365-8526","contributorId":302987,"corporation":false,"usgs":false,"family":"Sun","given":"Alexander","email":"","middleInitial":"Y.","affiliations":[{"id":12430,"text":"University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":889643,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jia, Xiaowei 0000-0001-8544-5233","orcid":"https://orcid.org/0000-0001-8544-5233","contributorId":237807,"corporation":false,"usgs":false,"family":"Jia","given":"Xiaowei","email":"","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":889644,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lubin, Daniel","contributorId":174974,"corporation":false,"usgs":false,"family":"Lubin","given":"Daniel","email":"","affiliations":[],"preferred":false,"id":889645,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sadler, Jeffrey M 0000-0001-8776-4844","orcid":"https://orcid.org/0000-0001-8776-4844","contributorId":302989,"corporation":false,"usgs":false,"family":"Sadler","given":"Jeffrey M","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":889646,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Appling, Alison P. 0000-0003-3638-8572 aappling@usgs.gov","orcid":"https://orcid.org/0000-0003-3638-8572","contributorId":150595,"corporation":false,"usgs":true,"family":"Appling","given":"Alison","email":"aappling@usgs.gov","middleInitial":"P.","affiliations":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true}],"preferred":true,"id":889647,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70243046,"text":"70243046 - 2023 - Plant water-use strategies predict restoration success across degraded drylands","interactions":[],"lastModifiedDate":"2023-06-09T15:23:00.168208","indexId":"70243046","displayToPublicDate":"2023-03-13T07:17:47","publicationYear":"2023","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":"Plant water-use strategies predict restoration success across degraded drylands","docAbstract":"
  1. Plant strategies for coping with water limitation are likely to mediate restoration outcomes in degraded dryland ecosystems. Trade-offs in traits related to water acquisition and use can intensify in more arid environments, making their effects on dryland restoration success even more salient. However, isolating the effects of drought responses from those of other environmental factors, as well as identifying the specific drought resistance traits that influence restoration success, can be difficult.
  2. In the present study, we couple a controlled dry-down experiment with a cross-site restoration field trial of out-planted seedlings (RestoreNet) using a suite of dryland herbaceous plant species from the same seed sources. We quantified interspecific variation in physiological responses to drought, specifically reductions in stomatal conductance (gs) and stem water potential (SWP), by comparing well-watered control plants to those experiencing decreasing soil moisture.
  3. Drought responses of SWP and gs varied independently among species, but both were related to survival in the cross-site restoration field trial when effect sizes were aggregated across all sites. Responses were consistent with acquisitive water-use strategies resulting in greater success, where species with greater declines in SWP or weaker declines in gs under drought had greater survival. The correlation between SWP drought response and survival also intensified in sites with lower accumulated precipitation following restoration.
  4. Differences among functional groups revealed two different paths to restoration success: forbs that maintain high gs and narrow safety margins to maximize exploitation of moisture pulses before going into drought dormancy, or C4 grasses that maintain efficient water uptake in drying soils while risking cavitation. C3 grass species varied between these two strategies.
  5. Synthesis and applications. Taken together, the results of this study and others conducted at RestoreNet sites indicate that while a diversity of physiological responses to drought may exist in dryland plant communities, successfully restoring herbaceous species through out-planting in degraded conditions is likely to be achieved with species that maximize water uptake via one of two strategies, with tolerance of low SWP being particularly important in the most arid settings.
","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2664.14393","usgsCitation":"Butterfield, B.J., Munson, S.M., and Farrell, H., 2023, Plant water-use strategies predict restoration success across degraded drylands: Journal of Applied Ecology, v. 60, no. 6, p. 1170-1180, https://doi.org/10.1111/1365-2664.14393.","productDescription":"11 p.","startPage":"1170","endPage":"1180","ipdsId":"IP-146904","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":444219,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2664.14393","text":"Publisher Index Page"},{"id":416435,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"60","issue":"6","noUsgsAuthors":false,"publicationDate":"2023-03-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Butterfield, Bradley J. 0000-0003-0974-9811","orcid":"https://orcid.org/0000-0003-0974-9811","contributorId":167009,"corporation":false,"usgs":false,"family":"Butterfield","given":"Bradley","email":"","middleInitial":"J.","affiliations":[{"id":24591,"text":"Merriam-Powell Center for Environmental Research and Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ, USA","active":true,"usgs":false}],"preferred":false,"id":870795,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Munson, Seth M. 0000-0002-2736-6374 smunson@usgs.gov","orcid":"https://orcid.org/0000-0002-2736-6374","contributorId":1334,"corporation":false,"usgs":true,"family":"Munson","given":"Seth","email":"smunson@usgs.gov","middleInitial":"M.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":870796,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Farrell, Hannah L.","contributorId":304525,"corporation":false,"usgs":false,"family":"Farrell","given":"Hannah L.","affiliations":[{"id":66095,"text":"formerly: US Geological Survey, Southwest Biological Science Center, Flagstaff, Arizona, USA","active":true,"usgs":false}],"preferred":false,"id":870797,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ]}