{"pageNumber":"532","pageRowStart":"13275","pageSize":"25","recordCount":184617,"records":[{"id":70218005,"text":"70218005 - 2021 - Contrasting prescription burning and wildfires in California Sierra Nevada national parks and adjacent national forests","interactions":[],"lastModifiedDate":"2021-04-22T16:32:10.840435","indexId":"70218005","displayToPublicDate":"2021-02-04T13:38:00","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2083,"text":"International Journal of Wildland Fire","active":true,"publicationSubtype":{"id":10}},"title":"Contrasting prescription burning and wildfires in California Sierra Nevada national parks and adjacent national forests","docAbstract":"

History of prescription burning and wildfires in the three Sierra Nevada National Park Service (NPS) parks and adjacent US Forest Service (USFS) forests is presented. Annual prescription (Rx) burns began in 1968 in Sequoia and Kings Canyon National Parks, followed by Yosemite National Park and Lassen Volcanic National Park. During the last third of the 20th century, USFS national forests adjacent to these parks did limited Rx burns, accounting for very little area burned. However, in 2004, an aggressive annual burn program was initiated in these national forests and in the last decade, area burned by planned prescription burns, relative to area protected, was approximately comparable between these NPS and USFS lands. In 1968, the NPS prescription burning program was unique because it coupled planned Rx burns with managing many lightning-ignited fires for resource benefit. From 1968 to 2017, these natural fires managed for resource benefit averaged the same total area burned as planned Rx burns in the three national parks; thus, they have had a substantial impact on total area burned by prescription. In contrast, on USFS lands, most lightning-ignited fires have been managed for suppression, but increasing attention is being paid to managing wildfires for resource benefit.

","language":"English","publisher":"CSIRO","doi":"10.1071/WF20112","usgsCitation":"Keeley, J., Pfaff, A.H., and Caprio, A.C., 2021, Contrasting prescription burning and wildfires in California Sierra Nevada national parks and adjacent national forests: International Journal of Wildland Fire, v. 30, no. 4, p. 255-268, https://doi.org/10.1071/WF20112.","productDescription":"14 p.","startPage":"255","endPage":"268","ipdsId":"IP-120792","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":453578,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1071/wf20112","text":"Publisher Index Page"},{"id":383232,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.9317626953125,\n 39.690280594818034\n ],\n [\n -120.30578613281251,\n 39.690280594818034\n ],\n [\n -120.30578613281251,\n 41.290189955885644\n ],\n [\n -121.9317626953125,\n 41.290189955885644\n ],\n [\n -121.9317626953125,\n 39.690280594818034\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.64111328125,\n 38.685509760012\n ],\n [\n -120.41015624999999,\n 38.25543637637947\n ],\n [\n -119.27307128906249,\n 36.659606226479696\n ],\n [\n -118.1744384765625,\n 35.505400093441324\n ],\n [\n -117.8173828125,\n 35.62158189955968\n ],\n [\n -117.9107666015625,\n 36.2265501474709\n ],\n [\n -118.3172607421875,\n 37.21720611325497\n ],\n [\n -119.64111328125,\n 38.685509760012\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"30","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Keeley, Jon 0000-0002-4564-6521","orcid":"https://orcid.org/0000-0002-4564-6521","contributorId":216485,"corporation":false,"usgs":true,"family":"Keeley","given":"Jon","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":810202,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pfaff, Anne Hopkins 0000-0001-7433-2946","orcid":"https://orcid.org/0000-0001-7433-2946","contributorId":250665,"corporation":false,"usgs":true,"family":"Pfaff","given":"Anne","email":"","middleInitial":"Hopkins","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":810203,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Caprio, Anthony C.","contributorId":200205,"corporation":false,"usgs":false,"family":"Caprio","given":"Anthony","email":"","middleInitial":"C.","affiliations":[{"id":34646,"text":"Sequoia and Kings Canyon National Parks, Three Rivers, CA","active":true,"usgs":false}],"preferred":false,"id":810204,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70218223,"text":"70218223 - 2021 - Multi-region assessment of chemical mixture exposures and predicted cumulative effects in USA wadeable urban/agriculture-gradient streams","interactions":[],"lastModifiedDate":"2021-02-19T19:20:11.986432","indexId":"70218223","displayToPublicDate":"2021-02-04T12:37:14","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Multi-region assessment of chemical mixture exposures and predicted cumulative effects in USA wadeable urban/agriculture-gradient streams","docAbstract":"

Chemical-contaminant mixtures are widely reported in large stream reaches in urban/agriculture-developed watersheds, but mixture compositions and aggregate biological effects are less well understood in corresponding smaller headwaters, which comprise most of stream length, riparian connectivity, and spatial biodiversity. During 2014–2017, the U.S. Geological Survey (USGS) measured 389 unique organic analytes (pharmaceutical, pesticide, organic wastewater indicators) in 305 headwater streams within four contiguous United States (US) regions. Potential aquatic biological effects were evaluated for estimated maximum and median exposure conditions using multiple lines of evidence, including occurrence/concentrations of designed-bioactive pesticides and pharmaceuticals and cumulative risk screening based on vertebrate-centric ToxCast™ exposure-response data and on invertebrate and nonvascular plant aquatic life benchmarks. Mixed-contaminant exposures were ubiquitous and varied, with 78% (304) of analytes detected at least once and cumulative maximum concentrations up to more than 156,000 ng/L. Designed bioactives represented 83% of detected analytes. Contaminant summary metrics correlated strong-positive (rho (ρ): 0.569–0.719) to multiple watershed-development metrics, only weak-positive to point-source discharges (ρ: 0.225–353), and moderate- to strong-negative with multiple instream invertebrate metrics (ρ: −0.373 to −0.652). Risk screening indicated common exposures with high probability of vertebrate-centric molecular effects and of acute toxicity to invertebrates, respectively. The results confirm exposures to broad and diverse contaminant mixtures and provide convincing multiple lines of evidence that chemical contaminants contribute substantially to adverse multi-stressor effects in headwater-stream communities.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2021.145062","usgsCitation":"Bradley, P., Journey, C., Romanok, K., Breitmeyer, S.E., Button, D.T., Carlisle, D.M., Huffman, B., Mahler, B., Nowell, L.H., Qi, S.L., Smalling, K., Waite, I.R., and Van Metre, P.C., 2021, Multi-region assessment of chemical mixture exposures and predicted cumulative effects in USA wadeable urban/agriculture-gradient streams: Science of the Total Environment, v. 773, 145062, 12 p., https://doi.org/10.1016/j.scitotenv.2021.145062.","productDescription":"145062, 12 p.","ipdsId":"IP-122523","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true},{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":436519,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9096AFB","text":"USGS data release","linkHelpText":"Concentrations of Pesticide, Pharmaceutical, and Organic Wastewater Contaminants from a Multi-Regional Assessment of Wadeable USA Streams, 2014-17"},{"id":383383,"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":"773","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bradley, Paul M. 0000-0001-7522-8606","orcid":"https://orcid.org/0000-0001-7522-8606","contributorId":221226,"corporation":false,"usgs":true,"family":"Bradley","given":"Paul M.","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":810477,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Journey, Celeste A. 0000-0002-2284-5851","orcid":"https://orcid.org/0000-0002-2284-5851","contributorId":221232,"corporation":false,"usgs":true,"family":"Journey","given":"Celeste A.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":810478,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Romanok, Kristin M. 0000-0002-8472-8765","orcid":"https://orcid.org/0000-0002-8472-8765","contributorId":221227,"corporation":false,"usgs":true,"family":"Romanok","given":"Kristin M.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":810479,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Breitmeyer, Sara E. 0000-0003-0609-1559 sbreitmeyer@usgs.gov","orcid":"https://orcid.org/0000-0003-0609-1559","contributorId":172622,"corporation":false,"usgs":true,"family":"Breitmeyer","given":"Sara","email":"sbreitmeyer@usgs.gov","middleInitial":"E.","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":810480,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Button, Daniel T. 0000-0002-7479-884X dtbutton@usgs.gov","orcid":"https://orcid.org/0000-0002-7479-884X","contributorId":2084,"corporation":false,"usgs":true,"family":"Button","given":"Daniel","email":"dtbutton@usgs.gov","middleInitial":"T.","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"preferred":true,"id":810481,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Carlisle, Daren M. 0000-0002-7367-348X","orcid":"https://orcid.org/0000-0002-7367-348X","contributorId":223188,"corporation":false,"usgs":true,"family":"Carlisle","given":"Daren","email":"","middleInitial":"M.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":810482,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Huffman, Bradley 0000-0003-2827-8074","orcid":"https://orcid.org/0000-0003-2827-8074","contributorId":220377,"corporation":false,"usgs":true,"family":"Huffman","given":"Bradley","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":810483,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mahler, Barbara 0000-0002-9150-9552 bjmahler@usgs.gov","orcid":"https://orcid.org/0000-0002-9150-9552","contributorId":1249,"corporation":false,"usgs":true,"family":"Mahler","given":"Barbara","email":"bjmahler@usgs.gov","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":810484,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Nowell, Lisa H. 0000-0001-5417-7264 lhnowell@usgs.gov","orcid":"https://orcid.org/0000-0001-5417-7264","contributorId":490,"corporation":false,"usgs":true,"family":"Nowell","given":"Lisa","email":"lhnowell@usgs.gov","middleInitial":"H.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":810485,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Qi, Sharon L. 0000-0001-7278-4498 slqi@usgs.gov","orcid":"https://orcid.org/0000-0001-7278-4498","contributorId":1130,"corporation":false,"usgs":true,"family":"Qi","given":"Sharon","email":"slqi@usgs.gov","middleInitial":"L.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":810486,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Smalling, Kelly L. 0000-0002-1214-4920","orcid":"https://orcid.org/0000-0002-1214-4920","contributorId":214623,"corporation":false,"usgs":true,"family":"Smalling","given":"Kelly L.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":810487,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Waite, Ian R. 0000-0003-1681-6955 iwaite@usgs.gov","orcid":"https://orcid.org/0000-0003-1681-6955","contributorId":616,"corporation":false,"usgs":true,"family":"Waite","given":"Ian","email":"iwaite@usgs.gov","middleInitial":"R.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":810488,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Van Metre, Peter C. 0000-0001-7564-9814","orcid":"https://orcid.org/0000-0001-7564-9814","contributorId":211144,"corporation":false,"usgs":true,"family":"Van Metre","given":"Peter","email":"","middleInitial":"C.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":810489,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70228589,"text":"70228589 - 2021 - Urbanization’s influence on the distribution of mange in a carnivore revealed with multistate occupancy models","interactions":[],"lastModifiedDate":"2022-02-14T14:51:52.531783","indexId":"70228589","displayToPublicDate":"2021-02-04T08:43:02","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2932,"text":"Oecologia","active":true,"publicationSubtype":{"id":10}},"title":"Urbanization’s influence on the distribution of mange in a carnivore revealed with multistate occupancy models","docAbstract":"

Increasing urbanization and use of urban areas by synanthropic wildlife has increased human and domestic animal exposure to zoonotic diseases and exacerbated epizootics within wildlife populations. Consequently, there is a need to improve wildlife disease surveillance programs to rapidly detect outbreaks and refine inferences regarding spatiotemporal disease dynamics. Multistate occupancy models can address potential shortcomings in surveillance programs by accounting for imperfect detection and the misclassification of disease states. We used these models to explore the relationship between urbanization, slope, and the spatial distribution of sarcoptic mange in coyotes (Canis latrans) inhabiting Fort Irwin, California, USA. We deployed remote cameras across 180 sites within the desert surrounding the populated garrison and classified sites by mange presence or absence depending on whether a symptomatic or asymptomatic coyote was photographed. Coyotes selected flatter sites closer to the urban area with a high probability of use (0.845, 95% credible interval (CRI): 0.728, 0.944); site use decreased as the distance to urban areas increased (standardized β^\">βˆβ^ = − 1.354, 95% CRI − 2.423, − 0.619). The probability of correctly classifying mange presence at a site also decreased further from the urban area and was probably related to the severity of mange infection. Severely infected coyotes, which were more readily identified as symptomatic, resided closer to the urban area and were most likely dependent on urban resources for survival; urban resources probably contributed to sustaining the disease. Multistate occupancy models represent a flexible framework for estimating the occurrence and spatial extent of observable infectious diseases, which can improve wildlife disease surveillance programs.

","language":"English","publisher":"Springer","doi":"10.1007/s00442-020-04803-9","usgsCitation":"Reddell, C.D., Abadi, F., Delaney, D., Cain, J.W., and Roemer, G.W., 2021, Urbanization’s influence on the distribution of mange in a carnivore revealed with multistate occupancy models: Oecologia, v. 195, p. 105-116, https://doi.org/10.1007/s00442-020-04803-9.","productDescription":"12 p.","startPage":"105","endPage":"116","ipdsId":"IP-112662","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":395880,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Fort Irwin","otherGeospatial":"Mojave Desert","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.21862792968751,\n 35.12440157992044\n ],\n [\n -116.01837158203126,\n 35.12440157992044\n ],\n [\n -116.01837158203126,\n 35.63832498777989\n ],\n [\n -117.21862792968751,\n 35.63832498777989\n ],\n [\n -117.21862792968751,\n 35.12440157992044\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"195","noUsgsAuthors":false,"publicationDate":"2021-02-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Reddell, Craig D.","contributorId":276276,"corporation":false,"usgs":false,"family":"Reddell","given":"Craig","email":"","middleInitial":"D.","affiliations":[{"id":12628,"text":"New Mexico State University","active":true,"usgs":false}],"preferred":false,"id":834702,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Abadi, Fitsum","contributorId":244779,"corporation":false,"usgs":false,"family":"Abadi","given":"Fitsum","affiliations":[{"id":48968,"text":"New Mexico State University, Department of Fish, Wildlife and Conservation Ecology","active":true,"usgs":false}],"preferred":false,"id":834703,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Delaney, David K.","contributorId":276280,"corporation":false,"usgs":false,"family":"Delaney","given":"David K.","affiliations":[],"preferred":false,"id":834704,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cain, James W. III 0000-0003-4743-516X jwcain@usgs.gov","orcid":"https://orcid.org/0000-0003-4743-516X","contributorId":4063,"corporation":false,"usgs":true,"family":"Cain","given":"James","suffix":"III","email":"jwcain@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":834701,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Roemer, Gary W.","contributorId":273109,"corporation":false,"usgs":false,"family":"Roemer","given":"Gary","email":"","middleInitial":"W.","affiliations":[{"id":12628,"text":"New Mexico State University","active":true,"usgs":false}],"preferred":false,"id":834705,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70217744,"text":"sir20205144 - 2021 - Hydrologic and hydraulic analyses of the Grand River, Red Cedar River, and Sycamore Creek near Lansing, Michigan","interactions":[],"lastModifiedDate":"2021-02-04T00:38:47.266829","indexId":"sir20205144","displayToPublicDate":"2021-02-03T17:00:00","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-5144","displayTitle":"Hydrologic and Hydraulic Analyses of the Grand River, Red Cedar River, and Sycamore Creek near Lansing, Michigan","title":"Hydrologic and hydraulic analyses of the Grand River, Red Cedar River, and Sycamore Creek near Lansing, Michigan","docAbstract":"

The U.S. Geological Survey (USGS) completed hydrologic and hydraulic analyses for selected reaches of the Grand River, Red Cedar River, and Sycamore Creek near Lansing, Michigan, in cooperation with the city of Lansing. The study comprised a 3.1-mile reach of the Grand River, a 30.3-mile reach of the Red Cedar River, and a 12.0-mile reach of Sycamore Creek. The information produced from the study can be used to update and expand an existing Federal Emergency Management Agency Flood Insurance Study for Ingham County, Mich.

Historical streamflow data from USGS streamgages on Grand River at Lansing, Mich. (station number 04113000); Red Cedar River at East Lansing, Mich. (station number 04112500); Red Cedar River near Williamston, Mich. (station number 04111379); and Sycamore Creek at Holt Road near Holt, Mich. (station number 04112850) were used to  estimate instantaneous peak streamflows for floods with 10-, 4-, 2-, 1-, and 0.2-percent annual exceedance probabilities (AEPs) and a “1-percent plus” AEP.

The Hydrologic Engineering Center’s River Analysis System step-backwater model was used to determine water-surface elevation profiles for the 10-, 4-, 2-, 1-, and 0.2-percent AEP floods, the 1-percent plus AEP flood, and a regulatory floodway for each stream reach. The hydraulic models were calibrated based on stage-streamflow ratings at USGS streamgages. Flood-inundation boundaries for the 1- and 0.2-percent annual exceedance probability floods and regulatory floodway were created for each stream.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/sir20205144","collaboration":"Prepared in cooperation with the city of Lansing, Michigan","usgsCitation":"Whitehead, M.T., and Ostheimer, C.J., 2021, Hydrologic and hydraulic analyses of the Grand River, Red Cedar River, and Sycamore Creek near Lansing, Michigan: U.S. Geological Survey Scientific Investigations Report 2020–5144, \n17 p., https://doi.org/10.3133/sir2020–5144.","productDescription":"Report: iv, 17 p.; Data Realease","onlineOnly":"Y","ipdsId":"IP-118378","costCenters":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":382823,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2020/5144/coverthb.jpg"},{"id":382824,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2020/5144/sir20205144.pdf","text":"Report","size":"3.43 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2020-5144"},{"id":382825,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P91CQ755","text":"USGS data release","linkHelpText":"Geospatial datasets and hydraulic models for the Grand River, Red Cedar River, and Sycamore Creek near Lansing, Michigan"}],"country":"United States","state":"Michigan","otherGeospatial":"Grand River, Red Cedar River, Sycamore Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.57550048828125,\n 42.48526384858916\n ],\n [\n -83.9959716796875,\n 42.48526384858916\n ],\n [\n -83.9959716796875,\n 42.76465818533266\n ],\n [\n -84.57550048828125,\n 42.76465818533266\n ],\n [\n -84.57550048828125,\n 42.48526384858916\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Ohio-Kentucky-Indiana Science Center
U.S. Geological Survey
6460 Busch Blvd., Suite 100
Columbus, OH 43229

","tableOfContents":"","publishedDate":"2021-02-03","noUsgsAuthors":false,"publicationDate":"2021-02-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Whitehead, Matthew T. 0000-0002-4888-2597 mtwhiteh@usgs.gov","orcid":"https://orcid.org/0000-0002-4888-2597","contributorId":218036,"corporation":false,"usgs":true,"family":"Whitehead","given":"Matthew T.","email":"mtwhiteh@usgs.gov","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":809440,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ostheimer, Chad J. 0000-0002-4528-8867","orcid":"https://orcid.org/0000-0002-4528-8867","contributorId":213950,"corporation":false,"usgs":true,"family":"Ostheimer","given":"Chad","email":"","middleInitial":"J.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":809441,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70228929,"text":"70228929 - 2021 - Biotic and abiotic determinants of finescale dace distribution at the southern edge of their range","interactions":[],"lastModifiedDate":"2022-02-24T17:39:32.668614","indexId":"70228929","displayToPublicDate":"2021-02-03T11:29:56","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1399,"text":"Diversity and Distributions","active":true,"publicationSubtype":{"id":10}},"title":"Biotic and abiotic determinants of finescale dace distribution at the southern edge of their range","docAbstract":"

Aim

The factors that set range limits for animal populations can inform management plans aimed at maintaining regional biodiversity. We examine abiotic and biotic drivers of the distribution of finescale dace (Chrosomus neogaeus) in two Great Plains basins to identify limiting factors for a threatened freshwater fish population at the edge of their range.

Location

Great Plains, Nebraska, South Dakota and Wyoming, USA.

Methods

We investigated abiotic and biotic factors influencing the contemporary distribution of finescale dace in the Belle Fourche and Niobrara River basins with Random Forests classification models using fish surveys from multiple agencies spanning 2008–2019 and GIS-derived environmental data.

Results

In both basins, finescale dace occurrence exhibited a nonlinear response to mean August water temperature. Abiotic covariates, including streamflow, water temperature and channel slope, were important limiting factors in the final model fit with Belle Fourche River basin surveys (n = 131). In contrast, a biotic covariate, native minnow richness, was the most important predictor of finescale dace occurrence in the Niobrara River basin model (n = 27). In the Niobrara River, native minnow richness was lower at sites with non-native northern pike (Esox lucius).

Main conclusions

Basin-specific analyses revealed context dependencies for species–environment relationships, which can inform targeted restoration actions. Similar relationships between water temperature and finescale dace occurrence across both basins suggest summer thermal habitat as a regional limiting factor. The importance of biotic interactions in the Niobrara River highlights an emergent threat from invasive predators to a distinct assemblage of native prairie fishes.

","language":"English","publisher":"Wiley","doi":"10.1111/ddi.13227","usgsCitation":"Booher, E., and Walters, A.W., 2021, Biotic and abiotic determinants of finescale dace distribution at the southern edge of their range: Diversity and Distributions, v. 27, no. 4, p. 696-709, https://doi.org/10.1111/ddi.13227.","productDescription":"14 p.","startPage":"696","endPage":"709","ipdsId":"IP-119393","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":453583,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ddi.13227","text":"Publisher Index Page"},{"id":396435,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nebraska, South Dakota, Wyoming","otherGeospatial":"Belle Fourche River, Niobara River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -104.8,\n 42.132858175814626\n ],\n [\n -102.80731201171875,\n 42.132858175814626\n ],\n [\n -102.80731201171875,\n 42.7\n ],\n [\n -104.8,\n 42.7\n ],\n [\n -104.8,\n 42.132858175814626\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -104.94140625,\n 44.44358514592119\n ],\n [\n -103.53240966796875,\n 44.44358514592119\n ],\n [\n -103.53240966796875,\n 45\n ],\n [\n -104.94140625,\n 45\n ],\n [\n -104.94140625,\n 44.44358514592119\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"27","issue":"4","noUsgsAuthors":false,"publicationDate":"2021-02-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Booher, Evan C. J.","contributorId":280044,"corporation":false,"usgs":false,"family":"Booher","given":"Evan C. J.","affiliations":[{"id":40829,"text":"uwy","active":true,"usgs":false}],"preferred":false,"id":835937,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walters, Annika W. 0000-0002-8638-6682 awalters@usgs.gov","orcid":"https://orcid.org/0000-0002-8638-6682","contributorId":4190,"corporation":false,"usgs":true,"family":"Walters","given":"Annika","email":"awalters@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":835936,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70217813,"text":"cir1474 - 2021 - Yellowstone Volcano Observatory 2018 annual report","interactions":[],"lastModifiedDate":"2025-05-08T16:27:47.535453","indexId":"cir1474","displayToPublicDate":"2021-02-03T09:37:43","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1474","displayTitle":"Yellowstone Volcano Observatory 2018 Annual Report","title":"Yellowstone Volcano Observatory 2018 annual report","docAbstract":"

The Yellowstone Volcano Observatory (YVO) monitors volcanic and hydrothermal activity associated with the Yellowstone magmatic system, conducts research into magmatic processes occurring beneath Yellowstone Caldera, and issues timely warnings and guidance related to potential future geologic hazards. This report summarizes the activities and findings of YVO during the year 2018, focusing on the Yellowstone magmatic system. The most noteworthy seismic activity of the year was a February swarm of hundreds of earthquakes in the same area as the 2017 Maple Creek earthquake swarm. The February 2018 activity is viewed as a continuation of the 2017 swarm. Ground deformation trends were mostly unchanged throughout the year, with uplift of the Norris Geyser Basin area and subsidence of the caldera.

Field work in 2018, conducted under research permits granted by the National Park Service, included routine maintenance visits to seismic and geodetic stations as well as deployment of a semipermanent Global Positioning System network during the summer months; installation of an eddy covariance system for tracking carbon dioxide emissions and heat flux near Norris Geyser Basin; deployment of nodal seismic arrays on Geyser Hill, near Steamboat Geyser, and around Yellowstone Lake; and collection of water and gas samples from the Bechler River area in the southwest part of Yellowstone National Park. In addition, examination of satellite thermal imagery resulted in the discovery of a new thermal area on the east side of the Sour Creek resurgent dome, near west Tern Lake. This thermal area appears to have started forming in the early 2000s; before then it was an area of healthy forest. The year might best be remembered, however, for some extraordinary geyser and hot spring activity, specifically at Steamboat Geyser and Ear Spring.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1474","issn":"1067-084X","usgsCitation":"Yellowstone Volcano Observatory, 2021, Yellowstone Volcano Observatory 2018 annual report (ver. 1.1, March 2021): U.S. Geological Survey Circular 1474, 38 p., https://doi.org/10.3133/cir1474.","productDescription":"Report: vi, 38 p.; Version History","numberOfPages":"38","onlineOnly":"N","ipdsId":"IP-117098","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":384412,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/circ/1474/versionHist.txt","size":"7 KB","linkFileType":{"id":2,"text":"txt"}},{"id":382923,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1474/cir1474_v1.1.pdf","text":"Report","size":"55 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":382922,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/circ/1474/covrthb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Yellowstone National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.0443115234375,\n 43.75919263886012\n ],\n [\n -109.1766357421875,\n 43.75919263886012\n ],\n [\n -109.1766357421875,\n 44.999767019181284\n ],\n [\n -111.0443115234375,\n 44.999767019181284\n ],\n [\n -111.0443115234375,\n 43.75919263886012\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1.0: Feb. 2021; Version 1.1: March 2021","contact":"

Yellowstone Volcano Observatory
U.S. Geological Survey
1300 SE Cardinal Court, Suite 100
Vancouver, WA 98683

Email: yvowebteam@usgs.gov

","tableOfContents":"","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2021-02-03","revisedDate":"2021-03-16","noUsgsAuthors":false,"publicationDate":"2021-02-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Observatory, Yellowstone Volcano","contributorId":248776,"corporation":false,"usgs":true,"family":"Observatory","given":"Yellowstone","email":"","middleInitial":"Volcano","affiliations":[{"id":686,"text":"Yellowstone Volcano Observatory","active":false,"usgs":true}],"preferred":true,"id":809815,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70218668,"text":"70218668 - 2021 - Effectiveness of rapid 'ōhi'a death management strategies at a focal disease outbreak on Hawai'i Island","interactions":[],"lastModifiedDate":"2021-03-04T14:25:32.577807","indexId":"70218668","displayToPublicDate":"2021-02-03T08:23:46","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesTitle":{"id":5948,"text":"Hawaii Cooperative Studies Unit Technical Report Series","active":true,"publicationSubtype":{"id":4}},"seriesNumber":"99","title":"Effectiveness of rapid 'ōhi'a death management strategies at a focal disease outbreak on Hawai'i Island","docAbstract":"

The ongoing spread of rapid ‘ōhi‘a death (ROD) in the Hawaiian Islands threatens the long-term sustainability of ‘ōhi‘a lehua (Metrosideros polymorpha) forests throughout the state. First identified in the Puna district of Hawai‘i Island in 2014, the disease caused by the novel fungi Ceratocystis lukuohia and Ceratocystis huliohia has now spread island-wide and was recently detected on Kaua‘i, O‘ahu, and Maui. The leading hypothesis for the spread of ROD is through airborne ambrosia beetle frass particles that contain viable Ceratocystis propagules, thus management efforts focus on containing this frass. At the time of this study (2017–2018), the Waipunalei site was the northernmost outbreak of ROD on Hawai‘i Island. The focal nature of the outbreak and accessibility of the location provided the opportunity to monitor the effectiveness of two types of proposed management methods to reduce the airborne spread of potentially infective ambrosia beetle frass: tree felling and insecticide treatments. We placed 23 passive environmental samplers (PES), which monitored for airborne frass and wood particles containing C. lukuohia and C. huliohia in a grid that spanned the outbreak area over 22 weeks. Cross-vane panel traps with 1:1 methanol:ethanol lures were attached to nine of the PES to document wood-boring ambrosia and cerambycid beetle populations during the latter three months of the study. Monitoring with PES began three weeks before management and continued for one month after the last infected trees were felled. Glass microscope slides from the 23 PES were examined for airborne ambrosia beetle frass and wood particles by microscopy. DNA was extracted from the slides and tested by qPCR (quantitative polymerase chain reaction) for C. lukuohia and C. huliohia. We also investigated the correlation of beetle gallery counts with tree height and tested the efficacy of Bifen I/T insecticide (active ingredient: bifenthrin 7.9%) for preventing beetle attacks on the cut surface of ‘ōhi‘a bolts (tree stem sections). Beetle trapping data revealed that the area supports a diverse community of wood-boring beetles, some of which likely attack ‘ōhi‘a and may facilitate the spread of ROD. The number of beetle galleries on felled ‘ōhi‘a trees decreased linearly as tree height increased. We also observed significantly fewer beetle attacks on Bifen I/T treated ‘ōhi‘a bolts than non-treated bolts, but gallery formation nearly ceased in both treated and control bolts by week three. Ceratocystis lukuohia DNA was detected twenty-six times and C. huliohia was detected five times in the PES throughout this study. DNA detections were correlated to frass and wood counts, and the number of felled trees were correlated to wood particle counts but not frass counts. Both the timing and distribution of detections across the sampling grid indicate that tree felling may have reduced airborne detections of Ceratocystis DNA soon after tree felling was completed. A subsequent increase in detections after tree felling ceased may indicate that incomplete removal of infected trees and the appearance of new infections in previously asymptomatic trees could have allowed airborne detections of potentially infectious fungal propagules to once again increase.

","language":"English","publisher":"University of Hawai‘i at Hilo","collaboration":"US Fish and Wildlife; Hawai‘i Cooperative Studies Unit, University of Hawai‘i at Hilo; National Park Service;Department of Hawaiian Homelands;Kamehameha Schools; The Nature Conservancy","usgsCitation":"Roy, K., Granthon, C., Peck, R., and Atkinson, C.T., 2021, Effectiveness of rapid 'ōhi'a death management strategies at a focal disease outbreak on Hawai'i Island: Hawaii Cooperative Studies Unit Technical Report Series 99, iv, 25 p.","productDescription":"iv, 25 p.","ipdsId":"IP-120152","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":383824,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":383810,"type":{"id":15,"text":"Index Page"},"url":"https://hdl.handle.net/10790/5554"}],"country":"United States","state":"Hawaii","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -156.16516113281247,\n 19.668452974374194\n ],\n [\n -155.830078125,\n 18.656654486540006\n ],\n [\n -154.632568359375,\n 19.342244996771804\n ],\n [\n -155.14343261718753,\n 20.375526803426915\n ],\n [\n -156.16516113281247,\n 20.375526803426915\n ],\n [\n -156.16516113281247,\n 19.668452974374194\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Roy, Kylle 0000-0002-7993-9031","orcid":"https://orcid.org/0000-0002-7993-9031","contributorId":213271,"corporation":false,"usgs":true,"family":"Roy","given":"Kylle","email":"","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":811307,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Granthon, Carolina 0000-0003-4206-5913","orcid":"https://orcid.org/0000-0003-4206-5913","contributorId":213272,"corporation":false,"usgs":false,"family":"Granthon","given":"Carolina","email":"","affiliations":[{"id":13341,"text":"Hawai‘i Cooperative Studies Unit, University of Hawai‘i at Hilo","active":true,"usgs":false}],"preferred":false,"id":811308,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peck, Robert W. 0000-0002-8739-9493","orcid":"https://orcid.org/0000-0002-8739-9493","contributorId":193088,"corporation":false,"usgs":false,"family":"Peck","given":"Robert W.","affiliations":[],"preferred":false,"id":811309,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Atkinson, Carter T. 0000-0002-4232-5335 catkinson@usgs.gov","orcid":"https://orcid.org/0000-0002-4232-5335","contributorId":1124,"corporation":false,"usgs":true,"family":"Atkinson","given":"Carter","email":"catkinson@usgs.gov","middleInitial":"T.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":811310,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70218254,"text":"70218254 - 2021 - Performance of subyearling fall Chinook salmon tagged with 8‐, 9‐, and 12‐mm passive integrated transponder tags in the Snake River","interactions":[],"lastModifiedDate":"2021-02-22T14:28:33.384665","indexId":"70218254","displayToPublicDate":"2021-02-03T08:21:56","publicationYear":"2021","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":"Performance of subyearling fall Chinook salmon tagged with 8‐, 9‐, and 12‐mm passive integrated transponder tags in the Snake River","docAbstract":"

Inferences based on tagged individuals from a population are limited in part by the minimum size of fish that can be tagged. Smaller tags allow a greater proportion of a population to be represented by tagging and should reduce potential tag effects on fish performance. We evaluated different performance metrics of juvenile fall Chinook Salmon Oncorhynchus tshawytscha tagged with 8‐, 9‐, and 12‐mm PIT tags in the Snake River. We did not find evidence that posttagging mortality of 45–49‐mm‐FL fish tagged with 8‐mm tags was higher than the posttagging mortality of larger fish tagged with 9‐ and 12‐mm tags. The incisions of fish tagged with 8‐mm tags using 14‐guage needles healed faster than those of fish tagged with larger tags using 12‐guage needles. For individuals that received 8‐mm tags, growth in length and mass was higher for 45–49‐mm fish than for 50–59‐mm fish and 60‐mm and larger fish. Growth of the larger size‐classes (50–59 and ≥60 mm) was also generally higher for those tagged with 8‐mm tags compared to those tagged with 9‐ and 12‐mm tags, respectively. There were no strong relationships between tag burden (i.e., tag weight expressed as a percentage of fish weight) at the time of tagging and growth metrics for any tag size or fish size‐class. Releases made to compare the detection efficiency of the three tag types in the juvenile fish bypass at Lower Granite Dam, Washington, showed that 99–100% of all fish were detected. Survival of fish from rearing areas to Lower Granite Dam generally increased with fish size and varied by year, but there was no strong evidence of a tag size effect. The 8‐mm PIT tag allowed us to represent a larger portion (i.e., 6.2–24.1%) of the subyearling fall Chinook Salmon population in the Snake River without compromising fish performance or detectability at the dam.

","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.10541","usgsCitation":"Tiffan, K.F., Rhodes, T., Bickford, B., Lebeda, D.D., Connor, W.P., and Mullins, F.L., 2021, Performance of subyearling fall Chinook salmon tagged with 8‐, 9‐, and 12‐mm passive integrated transponder tags in the Snake River: North American Journal of Fisheries Management, v. 41, no. 1, p. 176-186, https://doi.org/10.1002/nafm.10541.","productDescription":"11 p.","startPage":"176","endPage":"186","ipdsId":"IP-120156","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":489005,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.osti.gov/biblio/2506841","text":"External Repository"},{"id":383416,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Snake River, Lower Granite Dam","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.47543334960938,\n 46.63623661551964\n ],\n [\n -117.37930297851562,\n 46.63623661551964\n ],\n [\n -117.37930297851562,\n 46.69560922075819\n ],\n [\n -117.47543334960938,\n 46.69560922075819\n ],\n [\n -117.47543334960938,\n 46.63623661551964\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"41","issue":"1","noUsgsAuthors":false,"publicationDate":"2021-02-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Tiffan, Kenneth F. 0000-0002-5831-2846","orcid":"https://orcid.org/0000-0002-5831-2846","contributorId":220176,"corporation":false,"usgs":true,"family":"Tiffan","given":"Kenneth","middleInitial":"F.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":810729,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rhodes, Tobyn 0000-0002-4023-4827","orcid":"https://orcid.org/0000-0002-4023-4827","contributorId":220181,"corporation":false,"usgs":true,"family":"Rhodes","given":"Tobyn","email":"","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":810730,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bickford, Brad 0000-0003-3756-6588","orcid":"https://orcid.org/0000-0003-3756-6588","contributorId":220180,"corporation":false,"usgs":true,"family":"Bickford","given":"Brad","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":810731,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lebeda, Dalton Dirk 0000-0001-9071-8400","orcid":"https://orcid.org/0000-0001-9071-8400","contributorId":251867,"corporation":false,"usgs":true,"family":"Lebeda","given":"Dalton","email":"","middleInitial":"Dirk","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":810732,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Connor, William P.","contributorId":107589,"corporation":false,"usgs":false,"family":"Connor","given":"William","email":"","middleInitial":"P.","affiliations":[{"id":16677,"text":"U.S. Fish and Wildlife Service, Idaho Fishery Resource Office, 276 Dworshak Complex Drive, Orofino, ID 83544","active":true,"usgs":false}],"preferred":false,"id":810733,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mullins, Frank L.","contributorId":146343,"corporation":false,"usgs":false,"family":"Mullins","given":"Frank","email":"","middleInitial":"L.","affiliations":[{"id":16677,"text":"U.S. Fish and Wildlife Service, Idaho Fishery Resource Office, 276 Dworshak Complex Drive, Orofino, ID 83544","active":true,"usgs":false}],"preferred":false,"id":810734,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70219171,"text":"70219171 - 2021 - Waterfowl use of wetland habitats informs wetland restoration designs for multi‐species benefits","interactions":[],"lastModifiedDate":"2021-09-14T16:08:07.386577","indexId":"70219171","displayToPublicDate":"2021-02-03T07:42:05","publicationYear":"2021","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":"Waterfowl use of wetland habitats informs wetland restoration designs for multi‐species benefits","docAbstract":"
  1. Extensive global estuarine wetland losses have prompted intensive focus on restoration of these habitats. In California, substantial tracts of freshwater, brackish and tidal wetlands have been lost. Given the anthropogenic footprint of development and urbanization in this region, wetland restoration must rely on conversion of existing habitat types rather than adding new wetlands. These restorations can cause conflicts among stakeholders and species that win or lose depending on identified restoration priorities.
  2. Suisun Marsh on the San Francisco Bay Estuary is the largest brackish marsh on the U.S. Pacific coast. To understand how conversion of brackish managed wetlands to tidal marsh would impact waterfowl populations and whether future tidal marsh restorations could provide suitable habitat for dabbling ducks, we examined waterfowl wetland use with a robust GPS‐GSM tracking dataset (442,017 locations) from six dabbling duck species (N=315).
  3. Managed wetlands, which comprise 47% of Suisun Marsh, were consistently and strongly selected by waterfowl over tidal marshes, with use ~98% across seasons and species.
  4. However, while use of tidal marsh (only 14% of Suisun Marsh) was generally <2%, almost half our ducks (~44%) spent some time in this habitat and exhibited strong utilization of pond‐like features. Ponds only comprise ~10% of this habitat but attracted 44% use (~4.5 times greater than availability).
  5. Synthesis and applications: Managed wetlands were vital to dabbling ducks, but losses from conversion of these habitats may be partially mitigated by incorporating pond features that are more attractive to waterfowl, and likely to offer multi‐species benefits, into tidal marsh restoration designs. While waterfowl are presently a common taxon, previously seen calamitous population declines can be avoided through informed ecosystem‐based management that promotes species richness, biodiversity and helps “keep common species common”.
","language":"English","publisher":"Wiley","doi":"10.1111/1365-2664.13845","usgsCitation":"Casazza, M.L., McDuie, F., Jones, S., Lorenz, A., Overton, C.T., Yee, J.L., Feldheim, C.L., Ackerman, J.T., and Thorne, K., 2021, Waterfowl use of wetland habitats informs wetland restoration designs for multi‐species benefits: Journal of Applied Ecology, v. 58, no. 9, p. 1910-1920, https://doi.org/10.1111/1365-2664.13845.","productDescription":"11 p.","startPage":"1910","endPage":"1920","ipdsId":"IP-112606","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":453588,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2664.13845","text":"Publisher Index Page"},{"id":436520,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P94B0WUV","text":"USGS data release","linkHelpText":"Suisun Tidal Marsh Duck Use Dataset"},{"id":384710,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Grizzly Island State Wildlife Area, Howard Slough State Wildlife Area, Suisun Marsh","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.0086669921875,\n 38.02916310538661\n ],\n [\n -121.83048248291016,\n 38.02916310538661\n ],\n [\n -121.83048248291016,\n 38.16641491595215\n ],\n [\n -122.0086669921875,\n 38.16641491595215\n ],\n [\n -122.0086669921875,\n 38.02916310538661\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.90232276916504,\n 39.44719624154272\n ],\n [\n -121.8724536895752,\n 39.44719624154272\n ],\n [\n -121.8724536895752,\n 39.49496725837\n ],\n [\n -121.90232276916504,\n 39.49496725837\n ],\n [\n -121.90232276916504,\n 39.44719624154272\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"58","issue":"9","noUsgsAuthors":false,"publicationDate":"2021-07-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Casazza, Michael L. 0000-0002-5636-735X mike_casazza@usgs.gov","orcid":"https://orcid.org/0000-0002-5636-735X","contributorId":2091,"corporation":false,"usgs":true,"family":"Casazza","given":"Michael","email":"mike_casazza@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":813111,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McDuie, Fiona 0000-0002-1948-5613","orcid":"https://orcid.org/0000-0002-1948-5613","contributorId":222936,"corporation":false,"usgs":true,"family":"McDuie","given":"Fiona","email":"","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":813112,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Scott 0000-0002-1056-3785","orcid":"https://orcid.org/0000-0002-1056-3785","contributorId":215602,"corporation":false,"usgs":true,"family":"Jones","given":"Scott","email":"","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":813113,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lorenz, Austen 0000-0003-3657-5941","orcid":"https://orcid.org/0000-0003-3657-5941","contributorId":222610,"corporation":false,"usgs":true,"family":"Lorenz","given":"Austen","email":"","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":813114,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Overton, Cory T. 0000-0002-5060-7447 coverton@usgs.gov","orcid":"https://orcid.org/0000-0002-5060-7447","contributorId":3262,"corporation":false,"usgs":true,"family":"Overton","given":"Cory","email":"coverton@usgs.gov","middleInitial":"T.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":813115,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Yee, Julie L. 0000-0003-1782-157X julie_yee@usgs.gov","orcid":"https://orcid.org/0000-0003-1782-157X","contributorId":3246,"corporation":false,"usgs":true,"family":"Yee","given":"Julie","email":"julie_yee@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":813116,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Feldheim, Cliff L.","contributorId":206561,"corporation":false,"usgs":false,"family":"Feldheim","given":"Cliff","email":"","middleInitial":"L.","affiliations":[{"id":37342,"text":"California Department of Water Resources","active":true,"usgs":false}],"preferred":false,"id":813117,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ackerman, Joshua T. 0000-0002-3074-8322","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":202848,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua","middleInitial":"T.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":813118,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Thorne, Karen M. 0000-0002-1381-0657","orcid":"https://orcid.org/0000-0002-1381-0657","contributorId":204579,"corporation":false,"usgs":true,"family":"Thorne","given":"Karen M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":813119,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70218286,"text":"70218286 - 2021 - Multi‐constrained catchment scale optimization of groundwater abstraction using linear programming","interactions":[],"lastModifiedDate":"2021-08-03T13:34:47.019013","indexId":"70218286","displayToPublicDate":"2021-02-03T06:42:55","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"Multi‐constrained catchment scale optimization of groundwater abstraction using linear programming","docAbstract":"

Due to increasing water demands globally, freshwater ecosystems are under constant pressure. Groundwater resources, as the main source of accessible freshwater, are crucially important for irrigation worldwide. Over‐abstraction of groundwater leads to declines in groundwater levels; consequently, the groundwater inflow to streams decreases. The reduction in base flow and alteration of the stream flow regime can potentially have an adverse impact on groundwater‐dependent ecosystems. A spatially distributed, coupled groundwater‐surface water model can simulate the impacts of groundwater abstraction on aquatic ecosystems. A constrained optimization algorithm and a simulation model in combination can provide an objective tool for the water practitioner to evaluate the interplay between economic benefits of groundwater abstractions and requirements to environmental flow. In this study, a holistic catchment‐scale groundwater abstraction optimization framework has been developed that allows for a spatially explicit optimization of groundwater abstraction, while fulfilling a pre‐defined maximum allowed reduction of stream flow (base flow (Q95) or median flow (Q50)) as constraint criteria for 1484 stream locations across the catchment. A balanced K‐Means clustering method was implemented to reduce the computational burden of the optimization. The model parameters and observation uncertainties calculated based on Bayesian linear theory allow for a risk assessment on the optimized groundwater abstraction values. The results from different optimization scenarios indicated that using the linear programming optimization algorithm in conjunction with integrated models provides valuable information for guiding the water practitioners in designing an effective groundwater abstraction plan with the consideration of environmental flow criteria important for the ecological status of the entire system.

","language":"English","publisher":"Wiley","doi":"10.1111/gwat.13083","usgsCitation":"Danapour, M., Fienen, M., Hojberg, A.L., Jensen, K.H., and Stisen, S., 2021, Multi‐constrained catchment scale optimization of groundwater abstraction using linear programming: Groundwater, v. 59, no. 4, p. 503-516, https://doi.org/10.1111/gwat.13083.","productDescription":"14 p.","startPage":"503","endPage":"516","ipdsId":"IP-124860","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":383584,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"59","issue":"4","noUsgsAuthors":false,"publicationDate":"2021-02-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Danapour, Mehrdis 0000-0003-1877-0233","orcid":"https://orcid.org/0000-0003-1877-0233","contributorId":251915,"corporation":false,"usgs":false,"family":"Danapour","given":"Mehrdis","email":"","affiliations":[{"id":40164,"text":"Geological Survey of Denmark and Greenland","active":true,"usgs":false}],"preferred":false,"id":810824,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fienen, Michael N. 0000-0002-7756-4651","orcid":"https://orcid.org/0000-0002-7756-4651","contributorId":245632,"corporation":false,"usgs":true,"family":"Fienen","given":"Michael N.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":810825,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hojberg, Anker Lajer","contributorId":251916,"corporation":false,"usgs":false,"family":"Hojberg","given":"Anker","email":"","middleInitial":"Lajer","affiliations":[{"id":40164,"text":"Geological Survey of Denmark and Greenland","active":true,"usgs":false}],"preferred":false,"id":810826,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jensen, Karsten Hogh","contributorId":251917,"corporation":false,"usgs":false,"family":"Jensen","given":"Karsten","email":"","middleInitial":"Hogh","affiliations":[{"id":40164,"text":"Geological Survey of Denmark and Greenland","active":true,"usgs":false}],"preferred":false,"id":810827,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stisen, Simon","contributorId":251920,"corporation":false,"usgs":false,"family":"Stisen","given":"Simon","email":"","affiliations":[{"id":40164,"text":"Geological Survey of Denmark and Greenland","active":true,"usgs":false}],"preferred":false,"id":810828,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70218008,"text":"70218008 - 2021 - Body condition of wintering Pacific greater white-fronted geese","interactions":[],"lastModifiedDate":"2021-03-19T20:55:49.752814","indexId":"70218008","displayToPublicDate":"2021-02-02T13:22:52","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Body condition of wintering Pacific greater white-fronted geese","docAbstract":"

Extreme changes to key waterfowl habitats in the Klamath Basin (KB) on the Oregon–California border and the Sacramento Valley (SV) in California, USA, have occurred since 1980. The spatial distribution of Pacific greater white‐fronted geese (Anser albifrons sponsa; geese) has likewise changed among these areas and population size has grown from 79,000 to >600,000 geese during the same period. To assess the effects of landscape changes and spatial‐temporal distribution of geese, we collected Pacific greater white‐fronted geese during winters of 2009–2010 and 2010–2011 in the KB and SV and compared their body condition to geese collected during 1979–1980 and 1980–1981. We modeled body and lipid mass to assess body condition for each sex independently and examined the influence of collection day, year, and region. Body condition of geese varied throughout the winter and within years in a nonlinear fashion. We detected an increase in body condition in both sexes during December and January in the SV, which corresponds with improved habitat conditions and increases seen in other species in the region. Body condition upon arrival in fall migration varied by year for females and by year and region for males. Males and females arrived in poorer body condition during 2010–2011 than all other study years and males in the KB during 2010–2011 had extremely low lipid mass, reflecting poor regional habitat conditions induced by drought. Body condition of females varied over spring, by year, and by region and regional effects were evident for males. Body condition was significantly higher for geese in the SV than in the KB during spring. Our results suggest that Pacific greater white‐fronted geese have adapted to a changing landscape and have adjusted historical spatial use patterns to take advantage of more favorable conditions in the SV between 1979 and 2010.

","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.21997","usgsCitation":"Skalos, D., Eadie, J.M., Yparraguirre, D., Weaver, M.L., Oldenburger, S.L., Ely, C.R., Yee, J.L., and Fleskes, J., 2021, Body condition of wintering Pacific greater white-fronted geese: Journal of Wildlife Management, v. 85, no. 3, p. 484-497, https://doi.org/10.1002/jwmg.21997.","productDescription":"14 p.","startPage":"484","endPage":"497","ipdsId":"IP-116418","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":383221,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Oregon","otherGeospatial":"Klamath Basin, Sacramento Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.44262695312501,\n 37.80544394934271\n ],\n [\n -120.794677734375,\n 37.80544394934271\n ],\n [\n -120.794677734375,\n 39.444677580473424\n ],\n [\n -122.44262695312501,\n 39.444677580473424\n ],\n [\n -122.44262695312501,\n 37.80544394934271\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.431640625,\n 41.51680395810118\n ],\n [\n -121.06933593749999,\n 41.51680395810118\n ],\n [\n -121.06933593749999,\n 42.52069952914966\n ],\n [\n -122.431640625,\n 42.52069952914966\n ],\n [\n -122.431640625,\n 41.51680395810118\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"85","issue":"3","noUsgsAuthors":false,"publicationDate":"2021-02-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Skalos, Daniel A.","contributorId":250668,"corporation":false,"usgs":false,"family":"Skalos","given":"Daniel A.","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":810205,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eadie, John M.","contributorId":65219,"corporation":false,"usgs":false,"family":"Eadie","given":"John","email":"","middleInitial":"M.","affiliations":[{"id":7082,"text":"University of California - Davis","active":true,"usgs":false}],"preferred":false,"id":810206,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yparraguirre, Daniel R.","contributorId":250671,"corporation":false,"usgs":false,"family":"Yparraguirre","given":"Daniel R.","affiliations":[{"id":6952,"text":"California Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":810207,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Weaver, Melanie L.","contributorId":250673,"corporation":false,"usgs":false,"family":"Weaver","given":"Melanie","email":"","middleInitial":"L.","affiliations":[{"id":6952,"text":"California Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":810208,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Oldenburger, Shaun L.","contributorId":177598,"corporation":false,"usgs":false,"family":"Oldenburger","given":"Shaun","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":810209,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ely, Craig R. 0000-0003-4262-0892 cely@usgs.gov","orcid":"https://orcid.org/0000-0003-4262-0892","contributorId":3214,"corporation":false,"usgs":true,"family":"Ely","given":"Craig","email":"cely@usgs.gov","middleInitial":"R.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":810210,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Yee, Julie L. 0000-0003-1782-157X julie_yee@usgs.gov","orcid":"https://orcid.org/0000-0003-1782-157X","contributorId":3246,"corporation":false,"usgs":true,"family":"Yee","given":"Julie","email":"julie_yee@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":810211,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fleskes, Joseph P. 0000-0001-5388-6675","orcid":"https://orcid.org/0000-0001-5388-6675","contributorId":210345,"corporation":false,"usgs":false,"family":"Fleskes","given":"Joseph P.","affiliations":[],"preferred":false,"id":810212,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70217745,"text":"ofr20201112 - 2021 - Summary of fish communities along Underwood Creek, Milwaukee, Wisconsin, 2004–2019","interactions":[],"lastModifiedDate":"2021-02-03T12:36:09.475181","indexId":"ofr20201112","displayToPublicDate":"2021-02-02T12:50:00","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-1112","displayTitle":"Summary of Fish Communities along Underwood Creek, Milwaukee, Wisconsin, 2004–2019","title":"Summary of fish communities along Underwood Creek, Milwaukee, Wisconsin, 2004–2019","docAbstract":"

Beginning in 2010, sections of Underwood Creek in Milwaukee County, Wisconsin, have undergone reconstruction to allow for improved fish habitat and better management of storm flows. In addition, dam and drop structures were removed to help improve fish migration while reintroducing several native fish species. With the reconstruction of Underwood Creek underway, the Milwaukee Metropolitan Sewerage District sought to evaluate if these measures have resulted in improvements to the fish community in the upstream parts of the watershed. The U.S. Geological Survey began sampling fish communities in 2004 at the farthest downstream site on Underwood Creek (Reach A) which was reconstructed in 2017. Reach B, which is slightly upstream, had undergone reconstruction in 2010 and fish community sampling began in 2016. A third reach farther upstream near Elm Grove was schedule to begin reconstruction in 2019. To compare the fish before and after reconstruction at the Elm Grove Reach, a fish community survey was conducted in spring of 2019 at Elm Grove and Reach B. This document describes the fish community from this sampling in comparison to previous surveys. Before reconstruction, Elm Grove Reach contained fish species more indicative of a slower, stagnant, warmwater stream than the other two rehabilitated reaches. Although six of the eight species found in Elm Grove Reach have been found at the lower reaches, all but two of the species are considered tolerant. Reconstruction of Elm Grove Reach to a similar habitat as the lower reaches will likely support a more diverse fish community.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201112","collaboration":"Prepared in Cooperation with Milwaukee Metropolitan Sewerage District","usgsCitation":"Bell, A.H., Sullivan, D.J., and Scudder Eikenberry, B.C., 2021, Summary of fish communities along Underwood Creek, Milwaukee, Wisconsin, 2004–2019: U.S. Geological Survey Open-File Report 2020–1112, 14 p., https://doi.org/10.3133/ofr20201112.","productDescription":"Report: v, 14 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-117234","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":382828,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F77W698B","text":"USGS data release","linkHelpText":"U.S. Geological Survey, n.d., BioData — aquatic bioassessment data for the Nation"},{"id":382826,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2020/1112/coverthb.jpg"},{"id":382827,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1112/ofr20201112.pdf","text":"Report","size":"5.81 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2020-1112"}],"country":"United States","state":"Wisconsin","city":"Milwaukee","otherGeospatial":"Underwood Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.13438415527344,\n 43.01594430071724\n ],\n [\n -88.01696777343749,\n 43.01669737169671\n ],\n [\n -88.01525115966797,\n 43.086441866511805\n ],\n [\n -88.13301086425781,\n 43.08594039080513\n ],\n [\n -88.13438415527344,\n 43.01594430071724\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Upper Midwest Environmental Sciences Center
U.S. Geological Survey
8505 Research Way
Middleton, WI 53562

","tableOfContents":"","publishedDate":"2021-02-02","noUsgsAuthors":false,"publicationDate":"2021-02-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Bell, Amanda H. 0000-0002-7199-2145 ahbell@usgs.gov","orcid":"https://orcid.org/0000-0002-7199-2145","contributorId":1752,"corporation":false,"usgs":true,"family":"Bell","given":"Amanda","email":"ahbell@usgs.gov","middleInitial":"H.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":809444,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sullivan, Daniel J. 0000-0003-2705-3738","orcid":"https://orcid.org/0000-0003-2705-3738","contributorId":204322,"corporation":false,"usgs":true,"family":"Sullivan","given":"Daniel","email":"","middleInitial":"J.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":809445,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eikenberry, Barbara C. Scudder 0000-0001-8058-1201 beikenberry@usgs.gov","orcid":"https://orcid.org/0000-0001-8058-1201","contributorId":172148,"corporation":false,"usgs":true,"family":"Eikenberry","given":"Barbara C. Scudder","email":"beikenberry@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":809446,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70217912,"text":"70217912 - 2021 - Acetylene-fueled trichloroethene reductive dechlorination in a groundwater enrichment culture","interactions":[],"lastModifiedDate":"2021-02-10T20:46:35.879352","indexId":"70217912","displayToPublicDate":"2021-02-02T12:43:51","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3819,"text":"mBio","active":true,"publicationSubtype":{"id":10}},"title":"Acetylene-fueled trichloroethene reductive dechlorination in a groundwater enrichment culture","docAbstract":"

In aquifers, acetylene (C2H2) is a product of abiotic degradation of trichloroethene (TCE) catalyzed by in situ minerals. C2H2 can, in turn, inhibit multiple microbial processes including TCE dechlorination and metabolisms that commonly support dechlorination, in addition to supporting the growth of acetylenotrophic microorganisms. Previously, C2H2 was shown to support TCE reductive dechlorination in synthetic, laboratory-constructed cocultures containing the acetylenotroph Pelobacter sp. strain SFB93 and Dehalococcoides mccartyi strain 195 or strain BAV1. In this study, we demonstrate TCE and perchloroethene (PCE) reductive dechlorination by a microbial community enriched from contaminated groundwater and amended with C2H2 as the sole electron donor and organic carbon source. The metagenome of the stable, enriched community was analyzed to elucidate putative community functions. A novel anaerobic acetylenotroph in the phylum Actinobacteria was identified using metagenomic analysis. These results demonstrate that the coupling of acetylenotrophy and reductive dechlorination can occur in the environment with native bacteria and broaden our understanding of biotransformation at contaminated sites containing both TCE and C2H2.

","language":"English","publisher":"American Society for Microbiology","doi":"10.1128/mBio.02724-20","usgsCitation":"Gushgari-Doyle, S., Oremland, R.S., Keren, R., Baesman, S., Akob, D., Banfield, J.F., and Alvarez-Cohen, L., 2021, Acetylene-fueled trichloroethene reductive dechlorination in a groundwater enrichment culture: mBio, no. 12, e02724-02720, 12 p., https://doi.org/10.1128/mBio.02724-20.","productDescription":"e02724-02720, 12 p.","ipdsId":"IP-118020","costCenters":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"links":[{"id":453594,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1128/mbio.02724-20","text":"Publisher Index Page"},{"id":436521,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9BF8LM4","text":"USGS data release","linkHelpText":"Acetylene Consumption and Dechlorination by a Groundwater Microbial Enrichment Culture"},{"id":383208,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"issue":"12","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gushgari-Doyle, Sara","contributorId":225516,"corporation":false,"usgs":false,"family":"Gushgari-Doyle","given":"Sara","email":"","affiliations":[{"id":36942,"text":"University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":810151,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Oremland, Ronald S. 0000-0001-7382-0147 roremlan@usgs.gov","orcid":"https://orcid.org/0000-0001-7382-0147","contributorId":931,"corporation":false,"usgs":true,"family":"Oremland","given":"Ronald","email":"roremlan@usgs.gov","middleInitial":"S.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":810152,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Keren, Ray","contributorId":225517,"corporation":false,"usgs":false,"family":"Keren","given":"Ray","email":"","affiliations":[{"id":36942,"text":"University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":810153,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baesman, Shaun 0000-0003-0741-8269 sbaesman@usgs.gov","orcid":"https://orcid.org/0000-0003-0741-8269","contributorId":3478,"corporation":false,"usgs":true,"family":"Baesman","given":"Shaun","email":"sbaesman@usgs.gov","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":810154,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Akob, Denise M. 0000-0003-1534-3025","orcid":"https://orcid.org/0000-0003-1534-3025","contributorId":204701,"corporation":false,"usgs":true,"family":"Akob","given":"Denise M.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":810155,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Banfield, Jillian F.","contributorId":152634,"corporation":false,"usgs":false,"family":"Banfield","given":"Jillian","email":"","middleInitial":"F.","affiliations":[{"id":18952,"text":"Department of Earth and Planetary Science, University of California Berkeley, CA 94720, USA","active":true,"usgs":false}],"preferred":false,"id":810156,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Alvarez-Cohen, Lisa","contributorId":179301,"corporation":false,"usgs":false,"family":"Alvarez-Cohen","given":"Lisa","email":"","affiliations":[],"preferred":false,"id":810157,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70218712,"text":"70218712 - 2021 - Divergent species‐specific impacts of whole ecosystem warming and elevated CO2 on vegetation water relations in an ombrotrophic peatland","interactions":[],"lastModifiedDate":"2021-04-22T16:22:41.596529","indexId":"70218712","displayToPublicDate":"2021-02-02T09:37:18","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Divergent species‐specific impacts of whole ecosystem warming and elevated CO2 on vegetation water relations in an ombrotrophic peatland","title":"Divergent species‐specific impacts of whole ecosystem warming and elevated CO2 on vegetation water relations in an ombrotrophic peatland","docAbstract":"

Boreal peatland forests have relatively low species diversity and thus impacts of climate change on one or more dominant species could shift ecosystem function. Despite abundant soil water availability, shallowly rooted vascular plants within peatlands may not be able to meet foliar demand for water under drought or heat events that increase vapor pressure deficits while reducing near surface water availability, although concurrent increases in atmospheric CO2 could buffer resultant hydraulic stress. We assessed plant water relations of co‐occurring shrub (primarily Rhododendron groenlandicum and Chamaedaphne calyculata) and tree (Picea mariana and Larix laricina) species prior to, and in response to whole ecosystem warming (0 to +9°C) and elevated CO2 using 12.8‐m diameter open‐top enclosures installed within an ombrotrophic bog. Water relations (water potential [Ψ], turgor loss point, foliar and root hydraulic conductivity) were assessed prior to treatment initiation, then Ψ and peak sap flow (trees only) assessed after 1 or 2 years of treatments. Under the higher temperature treatments, L. laricina Ψ exceeded its turgor loss point, increased its peak sap flow, and was not able to recover Ψ overnight. In contrast, P. mariana operated below its turgor loss point and maintained constant Ψ and sap flow across warming treatments. Similarly, C. calyculata Ψ stress increased with temperature while R. groenlandicum Ψ remained at pretreatment levels. The more anisohydric behavior of L. laricina and C. calyculata may provide greater net C uptake with warming, while the more conservative P. mariana and R. groenlandicum maintained greater hydraulic safety. These latter species also responded to elevated CO2 by reduced Ψ stress, which may also help limit hydraulic failure during periods of extreme drought or heat in the future. Along with Sphagnum moss, the species‐specific responses of peatland vascular communities to drier or hotter conditions will shape boreal peatland composition and function in the future.

","language":"English","publisher":"Wiley","doi":"10.1111/gcb.15543","usgsCitation":"Warren, J.M., Jensen, A.M., Ward, E., Guha, A., Childs, J., Wullschleger, S.D., and Hanson, P.J., 2021, Divergent species‐specific impacts of whole ecosystem warming and elevated CO2 on vegetation water relations in an ombrotrophic peatland: Global Change Biology, v. 27, no. 9, p. 1820-1835, https://doi.org/10.1111/gcb.15543.","productDescription":"16 p.","startPage":"1820","endPage":"1835","ipdsId":"IP-120525","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":453597,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.osti.gov/biblio/1779150","text":"Publisher Index Page"},{"id":384226,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","otherGeospatial":"Marcell Experimental Forest","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -93.53828430175781,\n 47.44341438795746\n ],\n [\n -93.45245361328125,\n 47.44341438795746\n ],\n [\n -93.45245361328125,\n 47.52461999690651\n ],\n [\n -93.53828430175781,\n 47.52461999690651\n ],\n [\n -93.53828430175781,\n 47.44341438795746\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"27","issue":"9","noUsgsAuthors":false,"publicationDate":"2021-02-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Warren, Jeffrey M .","contributorId":198318,"corporation":false,"usgs":false,"family":"Warren","given":"Jeffrey","email":"","middleInitial":"M .","affiliations":[],"preferred":false,"id":811473,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jensen, Anna M","contributorId":254940,"corporation":false,"usgs":false,"family":"Jensen","given":"Anna","email":"","middleInitial":"M","affiliations":[{"id":49394,"text":"Linnaeus University","active":true,"usgs":false}],"preferred":false,"id":811474,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ward, Eric 0000-0002-5047-5464","orcid":"https://orcid.org/0000-0002-5047-5464","contributorId":218962,"corporation":false,"usgs":true,"family":"Ward","given":"Eric","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":811475,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Guha, Anirban","contributorId":254941,"corporation":false,"usgs":false,"family":"Guha","given":"Anirban","email":"","affiliations":[{"id":37070,"text":"Oak Ridge National Laboratory","active":true,"usgs":false}],"preferred":false,"id":811476,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Childs, Joanne","contributorId":254942,"corporation":false,"usgs":false,"family":"Childs","given":"Joanne","email":"","affiliations":[{"id":37070,"text":"Oak Ridge National Laboratory","active":true,"usgs":false}],"preferred":false,"id":811477,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wullschleger, Stan D.","contributorId":167343,"corporation":false,"usgs":false,"family":"Wullschleger","given":"Stan","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":811478,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hanson, Paul J","contributorId":218965,"corporation":false,"usgs":false,"family":"Hanson","given":"Paul","email":"","middleInitial":"J","affiliations":[{"id":37070,"text":"Oak Ridge National Laboratory","active":true,"usgs":false}],"preferred":false,"id":811479,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70218835,"text":"70218835 - 2021 - Effect of nanoparticle size and natural organic matter composition on the bioavailability of polyvinylpyrrolidone- coated platinum nanoparticles to a model freshwater invertebrate","interactions":[],"lastModifiedDate":"2021-03-17T12:31:19.360902","indexId":"70218835","displayToPublicDate":"2021-02-02T07:27:44","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":6491,"text":"Environ. Sci. Technol.","active":true,"publicationSubtype":{"id":10}},"title":"Effect of nanoparticle size and natural organic matter composition on the bioavailability of polyvinylpyrrolidone- coated platinum nanoparticles to a model freshwater invertebrate","docAbstract":"

The bioavailability of dissolved Pt(IV) and polyvinylpyrrolidone-coated platinum nanoparticles (PtNPs) of five different nominal hydrodynamic diameters (20, 30, 50, 75, and 95 nm) was characterized in laboratory experiments using the model freshwater snail Lymnaea stagnalis. Dissolved Pt(IV) and all nanoparticle sizes were bioavailable to L. stagnalis. Platinum bioavailability, inferred from conditional uptake rate constants, was greater for nanoparticulate than dissolved forms and increased with increasing nanoparticle hydrodynamic diameter. The effect of natural organic matter (NOM) composition on PtNP bioavailability was evaluated using six NOM samples at two nanoparticle sizes (20 and 95 nm). NOM suppressed the bioavailability of 95 nm PtNPs in all cases, and DOM reduced sulfur content exhibited a positive correlation with 95 nm PtNP bioavailability. The bioavailability of 20 nm PtNPs was only suppressed by NOM with a low reduced sulfur content. The physiological elimination of Pt accumulated after dissolved Pt(IV) exposure was slow and constant. In contrast, the elimination of Pt accumulated after PtNP exposures exhibited a triphasic pattern likely involving in vivo PtNP dissolution. This work highlights the importance of PtNP size and interfacial interactions with NOM on Pt bioavailability and suggests that in vivo PtNP transformations could yield unexpectedly higher adverse effects to organisms than dissolved exposure alone.

","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.0c05985","usgsCitation":"Sikder, M., Croteau, M.N., Poulin, B., and Baalousha, M., 2021, Effect of nanoparticle size and natural organic matter composition on the bioavailability of polyvinylpyrrolidone- coated platinum nanoparticles to a model freshwater invertebrate: Environ. Sci. Technol., v. 55, no. 4, p. 2452-2461, https://doi.org/10.1021/acs.est.0c05985.","productDescription":"10 p.","startPage":"2452","endPage":"2461","ipdsId":"IP-121039","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":436523,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9G18URX","text":"USGS data release","linkHelpText":"Laboratory data to assess the effect of nanoparticle size and natural organic matter composition on the bioavailability of platinum nanoparticles to a model freshwater invertebrate species"},{"id":384450,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"55","issue":"4","noUsgsAuthors":false,"publicationDate":"2021-02-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Sikder, Mithun 0000-0002-6295-0939","orcid":"https://orcid.org/0000-0002-6295-0939","contributorId":255449,"corporation":false,"usgs":false,"family":"Sikder","given":"Mithun","email":"","affiliations":[{"id":37804,"text":"University of South Carolina","active":true,"usgs":false}],"preferred":false,"id":812372,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Croteau, Marie Noele 0000-0003-0346-3580 mcroteau@usgs.gov","orcid":"https://orcid.org/0000-0003-0346-3580","contributorId":895,"corporation":false,"usgs":true,"family":"Croteau","given":"Marie","email":"mcroteau@usgs.gov","middleInitial":"Noele","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":812373,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Poulin, Brett 0000-0002-5555-7733 bpoulin@usgs.gov","orcid":"https://orcid.org/0000-0002-5555-7733","contributorId":194253,"corporation":false,"usgs":true,"family":"Poulin","given":"Brett","email":"bpoulin@usgs.gov","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":812374,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baalousha, Mohammed 0000-0001-7491-4954","orcid":"https://orcid.org/0000-0001-7491-4954","contributorId":255450,"corporation":false,"usgs":false,"family":"Baalousha","given":"Mohammed","email":"","affiliations":[{"id":37804,"text":"University of South Carolina","active":true,"usgs":false}],"preferred":false,"id":812375,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70217742,"text":"ofr20201150 - 2021 - Summary of available data from the monarch overwintering colonies in central Mexico, 1976–1991","interactions":[],"lastModifiedDate":"2021-02-02T12:46:07.608646","indexId":"ofr20201150","displayToPublicDate":"2021-02-01T15:55:00","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-1150","displayTitle":"Summary of Available Data from the Monarch Overwintering Colonies in Central Mexico, 1976–1991","title":"Summary of available data from the monarch overwintering colonies in central Mexico, 1976–1991","docAbstract":"

Historical estimates of the area occupied by overwintering Danaus plexippus (monarchs) in central Mexico (between winters of 1976 and 1991) were published in García-Serrano and others (2004) and more recently in Mawdsley and others (2020). Our primary objectives were to identify the specific data that informed those estimates and, importantly, determine the degree to which the reported estimates reflect the total size of the overwintering monarch population during that period. Understanding how historical estimates of the overwintering area relate to total population size is necessary to ensure that inferences about population abundance and temporal trends are reliable, particularly as the U.S. Fish and Wildlife Service is in the process of determining if the species should be listed under the U.S. Endangered Species Act.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201150","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service","usgsCitation":"Zylstra, E.R., Thogmartin, W.E., Ramírez, M.I., and Zipkin, E.F., 2020, Summary of available data from the monarch overwintering colonies in central Mexico, 1976–1991: U.S. Geological Survey Open-File Report 2020–1150, 10 p., https://doi.org/10.3133/ofr20201150.","productDescription":"iii, 10 p.","onlineOnly":"Y","ipdsId":"IP-123783","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":382819,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2020/1150/coverthb.jpg"},{"id":382820,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1150/ofr20201150.pdf","text":"Report","size":"3.13 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Open-File Report 2020-1150"}],"country":"Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -102.85400390625,\n 15.834535741221565\n ],\n [\n -94.15283203125,\n 15.834535741221565\n ],\n [\n -94.15283203125,\n 22.411028521558706\n ],\n [\n -102.85400390625,\n 22.411028521558706\n ],\n [\n -102.85400390625,\n 15.834535741221565\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Upper Midwest Environmental Sciences Center
U.S. Geological Survey
2630 Fanta Reed Road
La Crosse, WI 54602

","tableOfContents":"","publishedDate":"2021-02-01","noUsgsAuthors":false,"publicationDate":"2021-02-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Zylstra, Erin R 0000-0002-2536-0403","orcid":"https://orcid.org/0000-0002-2536-0403","contributorId":218873,"corporation":false,"usgs":false,"family":"Zylstra","given":"Erin","email":"","middleInitial":"R","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":809443,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thogmartin, Wayne E. 0000-0002-2384-4279 wthogmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-2384-4279","contributorId":2545,"corporation":false,"usgs":true,"family":"Thogmartin","given":"Wayne","email":"wthogmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":809435,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ramirez, M. Isabel 0000-0002-6738-1165","orcid":"https://orcid.org/0000-0002-6738-1165","contributorId":248586,"corporation":false,"usgs":false,"family":"Ramirez","given":"M.","email":"","middleInitial":"Isabel","affiliations":[{"id":25354,"text":"Universidad Nacional Autónoma de México","active":true,"usgs":false}],"preferred":false,"id":809436,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zipkin, Elise F. 0000-0003-4155-6139","orcid":"https://orcid.org/0000-0003-4155-6139","contributorId":192755,"corporation":false,"usgs":false,"family":"Zipkin","given":"Elise","email":"","middleInitial":"F.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":809437,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70228543,"text":"70228543 - 2021 - Retention of passive integrated transponder tags in a small-bodied catfish","interactions":[],"lastModifiedDate":"2022-02-14T20:31:06.005594","indexId":"70228543","displayToPublicDate":"2021-02-01T15:30:45","publicationYear":"2021","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":"Retention of passive integrated transponder tags in a small-bodied catfish","docAbstract":"

Members of the freshwater catfishes (order Siluriformes) are capable of transintestinal expulsion of foreign bodies, including internally implanted tags, which can bias movement and survival estimates. We evaluated long-term (120-week) retention rates of passive integrated transponder (PIT) tags in a laboratory setting to assess potential tag loss in Stonecat Noturus flavus. The PIT tags were surgically implanted into the peritoneal cavity of fish (n = 157) ranging from 71 to 213 mm TL. We demonstrated that Stonecats can successfully be tagged with 12- and 23-mm PIT tags with low levels of mortality (5.0%) and tag loss (9.6%). Based on individual encounter histories and covariates, we further evaluated our data set in a multistate framework using program MARK. Based on our findings, tag age has a negative effect on tag loss; if Stonecats lose tags, it is relatively soon after tagging. Additionally, Stonecat TL has a negative effect on tag loss, with tag loss decreasing with increasing fish TL.

","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.10550","usgsCitation":"D’Amico, T.W., Winkelman, D.L., Swarr, T.R., and Myrick, C., 2021, Retention of passive integrated transponder tags in a small-bodied catfish: North American Journal of Fisheries Management, v. 41, no. 1, p. 187-195, https://doi.org/10.1002/nafm.10550.","productDescription":"9 p.","startPage":"187","endPage":"195","ipdsId":"IP-117998","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":395929,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"41","issue":"1","noUsgsAuthors":false,"publicationDate":"2021-02-01","publicationStatus":"PW","contributors":{"authors":[{"text":"D’Amico, Timothy W.","contributorId":276086,"corporation":false,"usgs":false,"family":"D’Amico","given":"Timothy","email":"","middleInitial":"W.","affiliations":[{"id":13606,"text":"CSU","active":true,"usgs":false}],"preferred":false,"id":834537,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Winkelman, Dana L. 0000-0002-5247-0114 danaw@usgs.gov","orcid":"https://orcid.org/0000-0002-5247-0114","contributorId":4141,"corporation":false,"usgs":true,"family":"Winkelman","given":"Dana","email":"danaw@usgs.gov","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":834536,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Swarr, Tyler R.","contributorId":276087,"corporation":false,"usgs":false,"family":"Swarr","given":"Tyler","email":"","middleInitial":"R.","affiliations":[{"id":13606,"text":"CSU","active":true,"usgs":false}],"preferred":false,"id":834538,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Myrick, Christopher A.","contributorId":276088,"corporation":false,"usgs":false,"family":"Myrick","given":"Christopher A.","affiliations":[{"id":13606,"text":"CSU","active":true,"usgs":false}],"preferred":false,"id":834539,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70228521,"text":"70228521 - 2021 - In-situ monitoring of infiltration-induced instability of I-70 embankment west of the Eisenhower-Johnson Memorial Tunnels, phase III","interactions":[],"lastModifiedDate":"2022-02-14T16:58:12.573395","indexId":"70228521","displayToPublicDate":"2021-02-01T14:43:21","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":10112,"text":"Colorado Department of Transportation Report","active":true,"publicationSubtype":{"id":2}},"seriesNumber":"2021-08","title":"In-situ monitoring of infiltration-induced instability of I-70 embankment west of the Eisenhower-Johnson Memorial Tunnels, phase III","docAbstract":"

A new methodology that uses recent advances in unsaturated soil mechanics and hydrology was developed and tested. The approach consists of using soil suction and moisture content field information in the prediction of the likelihood of landslide movement. The testing ground was an active landslide on I-70 west of the Eisenhower/Johnson Memorial Tunnels. A joint effort between Colorado School of Mines, CDOT, and USGS performed detailed site characterization, set up and calibrated a hydro-mechanical model of the site based on seven years of field data, and performed a stability analysis of the slope. Results indicate that consecutive years of high or low infiltration have a compounding effect so that the slope stability is influenced by the preceding years. Additionally, a new drainage system is proposed based on analysis of the current horizontal drains.

","language":"English","publisher":"Colorado Department of Transportation","usgsCitation":"Wayllace, A., Lu, N., and Mirus, B., 2021, In-situ monitoring of infiltration-induced instability of I-70 embankment west of the Eisenhower-Johnson Memorial Tunnels, phase III: Colorado Department of Transportation Report 2021-08, 84 p.","productDescription":"84 p.","ipdsId":"IP-126891","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":395894,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":395834,"type":{"id":11,"text":"Document"},"url":"https://www.codot.gov/programs/research/pdfs/2021/in-situ-monitoring-of-infiltration-induced-instability-of-i-70-embankment-west-of-the-eisenhower-johnson-memorial-tunnels-phase-iii.pdf"}],"country":"United States","state":"Colorado","otherGeospatial":"Straight Creek slide location","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -105.96334934234619,\n 39.67218123730546\n ],\n [\n -105.95322132110596,\n 39.67218123730546\n ],\n [\n -105.95322132110596,\n 39.678853450286766\n ],\n [\n -105.96334934234619,\n 39.678853450286766\n ],\n [\n -105.96334934234619,\n 39.67218123730546\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wayllace, Alexandra","contributorId":203213,"corporation":false,"usgs":false,"family":"Wayllace","given":"Alexandra","email":"","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":834488,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lu, Ning","contributorId":267914,"corporation":false,"usgs":false,"family":"Lu","given":"Ning","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":834489,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mirus, Benjamin B. 0000-0001-5550-014X","orcid":"https://orcid.org/0000-0001-5550-014X","contributorId":267912,"corporation":false,"usgs":true,"family":"Mirus","given":"Benjamin B.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":834490,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70217901,"text":"70217901 - 2021 - Effectiveness of a distance sampling from roads program for white-tailed deer in the National Capital Region parks","interactions":[],"lastModifiedDate":"2021-02-11T20:27:48.758809","indexId":"70217901","displayToPublicDate":"2021-02-01T14:17:54","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":53,"text":"Natural Resource Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"2021/2224","title":"Effectiveness of a distance sampling from roads program for white-tailed deer in the National Capital Region parks","docAbstract":"We evaluated the effectiveness of a distance sampling from roads program for estimating population sizes of white-tailed deer (Odocoileus virginianus) from 2001 to 2015 in parks of the National Capital Region (NCR), National Parks Service. Distance sampling is a method for estimating the density of organisms using a distribution of distances to observed individuals. Re-analysis of survey data for 9 of 11 NCR parks found that although the original park analyses likely estimated deer densities correctly, the uncertainties (coefficients of variation or CV) of the original estimates were likely underestimated. Power analyses based on the current analysis methods showed that survey effort at some parks was likely insufficient to reach the NCR target of a 20% CV. We simulated 7 different types of deer populations and 3 survey designs to assess how violations of the assumptions of distance sampling might have impacted population estimates. A significant interaction between survey type and population type explained most of the variation in population estimates across simulations. Simulation results suggested that (1) non-road surveys were more robust to bias in seven deer population distributions than were road surveys, (2) effectiveness of each of 3 survey types was dependent on the way deer were distributed across the landscape, and (3) non-road surveys produced unbiased estimates of populations affected by roads, whereas, road surveys did not. Based on this study, we recommend revisions of the NCR distance sampling program, including additional sampling effort for some parks and suggest alternative survey strategies to ameliorate potential assumption violations of distance sampling.","language":"English","publisher":"National Park Service","doi":"10.36967/nrr-2284469","usgsCitation":"Green, N., Wildhaber, M.L., and Albers, J.L., 2021, Effectiveness of a distance sampling from roads program for white-tailed deer in the National Capital Region parks: Natural Resource Report 2021/2224, xvi, 117 p., https://doi.org/10.36967/nrr-2284469.","productDescription":"xvi, 117 p.","ipdsId":"IP-101076","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":383234,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland, Virginia","city":"Washington D.C.","otherGeospatial":"Antietium National Battlefield, Catoctin Mountain Park, Chesapeake and Ohio Canal National Historical Park, George Washington Memorial Parkway, Harpers Ferry National Historical Park, Manassas National Battlefield Park, Monocacy National Battlefield, National Capital Parks—East Fort Washington Park, National Capital Parks—East Greenbelt Park, National Capital Parks—East Piscataway Park, Prince William Forest Park, Rock Creek Park, Wolf Trap National Park for the Performing Arts","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -78.73901367187499,\n 37.709899354855125\n ],\n [\n -75.640869140625,\n 37.709899354855125\n ],\n [\n -75.640869140625,\n 39.7240885773337\n ],\n [\n -78.73901367187499,\n 39.7240885773337\n ],\n [\n -78.73901367187499,\n 37.709899354855125\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Green, Nicholas S. 0000-0002-8538-4191","orcid":"https://orcid.org/0000-0002-8538-4191","contributorId":202040,"corporation":false,"usgs":true,"family":"Green","given":"Nicholas S.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":810122,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wildhaber, Mark L. 0000-0002-6538-9083 mwildhaber@usgs.gov","orcid":"https://orcid.org/0000-0002-6538-9083","contributorId":1386,"corporation":false,"usgs":true,"family":"Wildhaber","given":"Mark","email":"mwildhaber@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":810123,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Albers, Janice L. 0000-0002-6312-8269 jalbers@usgs.gov","orcid":"https://orcid.org/0000-0002-6312-8269","contributorId":3972,"corporation":false,"usgs":true,"family":"Albers","given":"Janice","email":"jalbers@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":810124,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70218291,"text":"70218291 - 2021 - The Denver Well Logging Society February 2021 Newsletter: From the VP - Technology","interactions":[],"lastModifiedDate":"2022-01-13T19:40:10.252618","indexId":"70218291","displayToPublicDate":"2021-02-01T13:38:30","publicationYear":"2021","noYear":false,"publicationType":{"id":25,"text":"Newsletter"},"publicationSubtype":{"id":30,"text":"Newsletter"},"seriesTitle":{"id":9980,"text":"Denver Well Drilling Society Newsletter","active":true,"publicationSubtype":{"id":30}},"title":"The Denver Well Logging Society February 2021 Newsletter: From the VP - Technology","docAbstract":"

No abstract available.

","language":"English","publisher":"The Denver Well Logging Society","usgsCitation":"Lagesse, J., 2021, The Denver Well Logging Society February 2021 Newsletter: From the VP - Technology: Denver Well Drilling Society Newsletter, no. February 2021, HTML Document.","productDescription":"HTML Document","ipdsId":"IP-126273","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":394325,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":394324,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://dwls.spwla.org/2021-02-Newsletter.html"}],"issue":"February 2021","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lagesse, Jenny Heather 0000-0002-3541-4751","orcid":"https://orcid.org/0000-0002-3541-4751","contributorId":251970,"corporation":false,"usgs":true,"family":"Lagesse","given":"Jenny Heather","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":810875,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70229033,"text":"70229033 - 2021 - Second fin ray shows promise for estimating ages of juvenile but not adult Lake Sturgeon","interactions":[],"lastModifiedDate":"2022-02-28T17:24:55.525189","indexId":"70229033","displayToPublicDate":"2021-02-01T11:11:04","publicationYear":"2021","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":"Second fin ray shows promise for estimating ages of juvenile but not adult Lake Sturgeon","docAbstract":"

The first marginal pectoral fin ray (fin spine) is the most common structure used for estimating the age of sturgeons, including Lake Sturgeon Acipenser fulvescens. However, conflicting results from studies on the effects of fin spine removal have made some managers hesitant about the practice. We investigated whether the second pectoral fin ray, which can be removed in a less invasive procedure, could be used for estimating ages of Lake Sturgeon. Ages estimated from fin spine and second fin ray samples were compared for 53 wild (470 to 1,981 mm TL) and 16 stocked, known-age (ages 8–18) Lake Sturgeon. Mean coefficient of variation for all samples was 12.4% for the fin spine and 17.5% for the second fin ray. In known-age fish, 17% of estimated ages for the fin spine and the second fin ray matched true age. For the remaining estimates, the difference between the second fin ray and true age was greater than the difference between the fin spine and true age (P < 0.05, Wilcoxon’s signed rank test). In juvenile fish (n = 24), 75% of ages estimated from fin spines and second fin rays were within ±4 annuli, which was similar to differences in reader agreement for the same fin spine. Age estimates for adult Lake Sturgeon (n = 45) were less when using the second fin ray relative to the fin spine (up to –34 years). Additionally, poor annulus clarity was observed in >70% of the second fin rays sampled from adult fish. Our results suggest that the second fin ray does not provide reliable age estimates for adult Lake Sturgeon but may have some utility for estimating age of juvenile Lake Sturgeon. Additional research with a larger sample size would be required to provide more conclusive results.

","language":"English","publisher":"Wiley","doi":"10.1002/nafm.10561","usgsCitation":"Izzo, L.K., Parrish, D.L., Zydlewski, G., and Koenigs, R., 2021, Second fin ray shows promise for estimating ages of juvenile but not adult Lake Sturgeon: North American Journal of Fisheries Management, v. 41, no. 1, p. 217-228, https://doi.org/10.1002/nafm.10561.","productDescription":"12 p.","startPage":"217","endPage":"228","ipdsId":"IP-120454","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":396568,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Vermont, Wisconsin","otherGeospatial":"Lake Champlain, Lake Winnebago","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.40377807617188,\n 43.96119063892024\n ],\n [\n -73.388671875,\n 44.000717834282774\n ],\n [\n -73.38729858398438,\n 44.02442151965934\n ],\n [\n -73.37493896484374,\n 44.03133330993372\n ],\n [\n -73.38455200195312,\n 44.05699861738566\n ],\n [\n -73.41201782226562,\n 44.049102784014536\n ],\n [\n -73.40652465820311,\n 44.07673359509706\n ],\n [\n -73.37905883789062,\n 44.092516839880126\n ],\n [\n -73.377685546875,\n 44.109281923355645\n ],\n [\n -73.3612060546875,\n 44.134913443750726\n ],\n [\n -73.35983276367186,\n 44.148710425584085\n ],\n [\n -73.34197998046875,\n 44.18121912526982\n ],\n [\n -73.35708618164062,\n 44.19106670942566\n ],\n [\n -73.3392333984375,\n 44.209772586984485\n ],\n [\n -73.31314086914062,\n 44.213709909702054\n ],\n [\n -73.30352783203125,\n 44.231424604494165\n ],\n [\n -73.29116821289062,\n 44.23240859791255\n ],\n [\n -73.289794921875,\n 44.20091264845479\n ],\n [\n -73.24172973632812,\n 44.208788215176114\n ],\n [\n -73.26644897460938,\n 44.24027995298925\n ],\n [\n -73.2568359375,\n 44.269788156801084\n ],\n [\n -73.2733154296875,\n 44.28551981101237\n ],\n [\n -73.28842163085938,\n 44.30910939501072\n ],\n [\n -73.27606201171875,\n 44.34152959888481\n ],\n [\n -73.267822265625,\n 44.34938634389529\n ],\n [\n -73.25958251953125,\n 44.36607843064777\n ],\n [\n -73.26919555664062,\n 44.39356091349481\n ],\n [\n -73.2513427734375,\n 44.4092593975669\n ],\n [\n -73.2403564453125,\n 44.39454219215587\n ],\n [\n -73.2183837890625,\n 44.39454219215587\n ],\n [\n -73.21014404296875,\n 44.41416430998939\n ],\n [\n -73.212890625,\n 44.44162421758805\n ],\n [\n -73.22250366210938,\n 44.448487178796235\n ],\n [\n -73.21014404296875,\n 44.46319080919909\n ],\n [\n -73.2183837890625,\n 44.48670891691767\n ],\n [\n -73.24722290039062,\n 44.50727948610087\n ],\n [\n -73.267822265625,\n 44.50825885600572\n ],\n [\n -73.26507568359375,\n 44.52001001133986\n ],\n [\n -73.27880859375,\n 44.54644144698688\n ],\n [\n -73.23898315429688,\n 44.55035619497771\n ],\n [\n -73.212890625,\n 44.53959000445632\n ],\n [\n -73.18679809570312,\n 44.54839885389387\n ],\n [\n -73.1744384765625,\n 44.583620922396136\n ],\n [\n -73.18679809570312,\n 44.591445152471834\n ],\n [\n -73.20602416992188,\n 44.585577078651774\n ],\n [\n -73.2183837890625,\n 44.58948919368969\n ],\n [\n -73.22662353515624,\n 44.623708968901205\n ],\n [\n -73.20327758789061,\n 44.640322728862934\n ],\n [\n -73.201904296875,\n 44.698921513917945\n ],\n [\n -73.19091796875,\n 44.734052347483086\n ],\n [\n -73.17169189453125,\n 44.75356026127114\n ],\n [\n -73.1634521484375,\n 44.75746105408348\n ],\n [\n -73.13735961914062,\n 44.78183504339988\n ],\n [\n -73.12911987304688,\n 44.80814739879984\n ],\n [\n -73.18267822265625,\n 44.825682303800384\n ],\n [\n -73.17718505859375,\n 44.864629668602866\n ],\n [\n -73.1524658203125,\n 44.912304304581525\n ],\n [\n -73.15658569335936,\n 44.92883525162427\n ],\n [\n -73.201904296875,\n 44.94244540138094\n ],\n [\n -73.212890625,\n 44.93466856793543\n ],\n [\n -73.22113037109375,\n 44.94341743150153\n ],\n [\n -73.20465087890625,\n 44.96771283573075\n ],\n [\n -73.17993164062499,\n 44.98714175309689\n ],\n [\n -73.1689453125,\n 44.9715991458543\n ],\n [\n -73.15933227539062,\n 44.98519915760114\n ],\n [\n -73.14285278320312,\n 44.969656023708175\n ],\n [\n -73.1085205078125,\n 44.972570682240644\n ],\n [\n -73.07968139648438,\n 44.99199795382439\n ],\n [\n -73.0810546875,\n 45.01821432797107\n ],\n [\n -73.21701049804688,\n 45.01530198999212\n ],\n [\n -73.2403564453125,\n 44.97354220216915\n ],\n [\n -73.27606201171875,\n 44.96382626228214\n ],\n [\n -73.2733154296875,\n 44.9405012917663\n ],\n [\n -73.2952880859375,\n 44.86949623772188\n ],\n [\n -73.30078125,\n 44.87630874326679\n ],\n [\n -73.30215454101562,\n 44.91619436708162\n ],\n [\n -73.30078125,\n 44.95799590837475\n ],\n [\n -73.3062744140625,\n 44.98714175309689\n ],\n [\n -73.32275390625,\n 44.99491147676693\n ],\n [\n -73.32824707031249,\n 45.01141864227728\n ],\n [\n -73.3502197265625,\n 45.01433117775016\n ],\n [\n -73.36532592773438,\n 44.98325649627403\n ],\n [\n -73.3447265625,\n 44.96285457777543\n ],\n [\n -73.3447265625,\n 44.920084166257624\n ],\n [\n -73.36395263671875,\n 44.909386584900034\n ],\n [\n -73.37493896484374,\n 44.8665763456234\n ],\n [\n -73.388671875,\n 44.85684230221507\n ],\n [\n -73.38592529296875,\n 44.835421613637564\n ],\n [\n -73.34609985351562,\n 44.80035239611148\n ],\n [\n -73.34197998046875,\n 44.78768327030477\n ],\n [\n -73.35296630859375,\n 44.779885502772736\n ],\n [\n -73.37356567382812,\n 44.74185630294231\n ],\n [\n -73.37356567382812,\n 44.69599298172069\n ],\n [\n -73.399658203125,\n 44.62077663521467\n ],\n [\n -73.38455200195312,\n 44.59926832935364\n ],\n [\n -73.388671875,\n 44.593401045429374\n ],\n [\n -73.38317871093749,\n 44.57383915375391\n ],\n [\n -73.35159301757811,\n 44.55035619497771\n ],\n [\n -73.333740234375,\n 44.51511398458795\n ],\n [\n -73.31451416015625,\n 44.49748488200713\n ],\n [\n -73.31039428710938,\n 44.47495104782301\n ],\n [\n -73.31039428710938,\n 44.45436907523842\n ],\n [\n -73.29940795898438,\n 44.4357410376761\n ],\n [\n -73.32275390625,\n 44.39257961837961\n ],\n [\n -73.3447265625,\n 44.37098696297173\n ],\n [\n -73.3447265625,\n 44.35920579433503\n ],\n [\n -73.333740234375,\n 44.337600831495635\n ],\n [\n -73.33236694335938,\n 44.31009208868226\n ],\n [\n -73.31863403320312,\n 44.27470475118813\n ],\n [\n -73.32687377929688,\n 44.25208501135687\n ],\n [\n -73.3502197265625,\n 44.23929609118664\n ],\n [\n -73.36532592773438,\n 44.21666272899817\n ],\n [\n -73.40103149414062,\n 44.19303602884215\n ],\n [\n -73.39691162109375,\n 44.18417357325393\n ],\n [\n -73.40789794921875,\n 44.17826452922573\n ],\n [\n -73.40377807617188,\n 44.165459568797\n ],\n [\n -73.41064453125,\n 44.14575420090964\n ],\n [\n -73.42300415039062,\n 44.134913443750726\n ],\n [\n -73.41751098632812,\n 44.112239974004645\n ],\n [\n -73.43536376953125,\n 44.08561218844469\n ],\n [\n -73.443603515625,\n 44.04318021813762\n ],\n [\n -73.41339111328125,\n 44.022446574403226\n ],\n [\n -73.4161376953125,\n 43.982933852960805\n ],\n [\n -73.40377807617188,\n 43.96119063892024\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.52371215820311,\n 44.01257086123085\n ],\n [\n -88.54293823242188,\n 44.02047156335411\n ],\n [\n -88.54156494140625,\n 43.99479043262446\n ],\n [\n -88.53469848632812,\n 43.974039863926414\n ],\n [\n -88.52027893066406,\n 43.95130472827632\n ],\n [\n -88.49555969238281,\n 43.93004445112047\n ],\n [\n -88.48663330078125,\n 43.93696723648486\n ],\n [\n -88.48182678222656,\n 43.91372326852401\n ],\n [\n -88.47152709960938,\n 43.89393401411192\n ],\n [\n -88.46809387207031,\n 43.87067323445261\n ],\n [\n -88.47015380859375,\n 43.83254552160589\n ],\n [\n -88.47702026367186,\n 43.81322478337459\n ],\n [\n -88.47564697265625,\n 43.7973671999332\n ],\n [\n -88.45710754394531,\n 43.79191518340848\n ],\n [\n -88.43582153320312,\n 43.79389779242341\n ],\n [\n -88.41110229492188,\n 43.79885402720353\n ],\n [\n -88.3911895751953,\n 43.807774213873806\n ],\n [\n -88.38432312011719,\n 43.82511520841798\n ],\n [\n -88.3795166015625,\n 43.843936871965695\n ],\n [\n -88.36921691894531,\n 43.854335770789575\n ],\n [\n -88.36235046386719,\n 43.855821179763\n ],\n [\n -88.36235046386719,\n 43.86176244565013\n ],\n [\n -88.36784362792967,\n 43.86324766961987\n ],\n [\n -88.36166381835938,\n 43.869188195488455\n ],\n [\n -88.35273742675781,\n 43.879087756333\n ],\n [\n -88.34449768066405,\n 43.89492363306683\n ],\n [\n -88.3355712890625,\n 43.9058083561574\n ],\n [\n -88.32115173339844,\n 43.91817494418724\n ],\n [\n -88.31222534179688,\n 43.93202247202807\n ],\n [\n -88.31771850585938,\n 43.97156907498665\n ],\n [\n -88.3245849609375,\n 43.983921991727605\n ],\n [\n -88.31977844238281,\n 43.99874209952105\n ],\n [\n -88.319091796875,\n 44.02392778951341\n ],\n [\n -88.31840515136719,\n 44.044167353572185\n ],\n [\n -88.32595825195312,\n 44.07229379877548\n ],\n [\n -88.32252502441406,\n 44.089557802247704\n ],\n [\n -88.32321166992188,\n 44.10730980734024\n ],\n [\n -88.31634521484375,\n 44.12259198538446\n ],\n [\n -88.30123901367188,\n 44.14821773175327\n ],\n [\n -88.28956604003905,\n 44.16201160443112\n ],\n [\n -88.30123901367188,\n 44.180234276372886\n ],\n [\n -88.3355712890625,\n 44.19894359225986\n ],\n [\n -88.37196350097656,\n 44.21124911385029\n ],\n [\n -88.39393615722656,\n 44.213709909702054\n ],\n [\n -88.41796875,\n 44.21075694234126\n ],\n [\n -88.44062805175781,\n 44.207311626616956\n ],\n [\n -88.43856811523438,\n 44.19598988458207\n ],\n [\n -88.45298767089842,\n 44.17924941102484\n ],\n [\n -88.45024108886719,\n 44.16742974366932\n ],\n [\n -88.44200134277344,\n 44.16447445668456\n ],\n [\n -88.44543457031249,\n 44.159056046008054\n ],\n [\n -88.45436096191406,\n 44.1526518281754\n ],\n [\n -88.46328735351562,\n 44.14969580090781\n ],\n [\n -88.47358703613281,\n 44.12998516884592\n ],\n [\n -88.46878051757811,\n 44.12357779664234\n ],\n [\n -88.47564697265625,\n 44.11815563115412\n ],\n [\n -88.48388671874999,\n 44.11618381123757\n ],\n [\n -88.49006652832031,\n 44.109281923355645\n ],\n [\n -88.49006652832031,\n 44.10139306449849\n ],\n [\n -88.49830627441406,\n 44.093996303179026\n ],\n [\n -88.50860595703125,\n 44.094489449387204\n ],\n [\n -88.51753234863281,\n 44.081666311450526\n ],\n [\n -88.51890563964844,\n 44.07081379264681\n ],\n [\n -88.53195190429688,\n 44.067360301083085\n ],\n [\n -88.53401184082031,\n 44.04811573082351\n ],\n [\n -88.52027893066406,\n 44.03824429423549\n ],\n [\n -88.52989196777344,\n 44.03034596066819\n ],\n [\n -88.5230255126953,\n 44.01652134387754\n ],\n [\n -88.52371215820311,\n 44.01257086123085\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"41","issue":"1","noUsgsAuthors":false,"publicationDate":"2021-02-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Izzo, Lisa K.","contributorId":189241,"corporation":false,"usgs":false,"family":"Izzo","given":"Lisa","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":836320,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Parrish, Donna L. 0000-0001-9693-6329 dparrish@usgs.gov","orcid":"https://orcid.org/0000-0001-9693-6329","contributorId":138661,"corporation":false,"usgs":true,"family":"Parrish","given":"Donna","email":"dparrish@usgs.gov","middleInitial":"L.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":836319,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zydlewski, Gayle Barbin","contributorId":286844,"corporation":false,"usgs":false,"family":"Zydlewski","given":"Gayle Barbin","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":836321,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Koenigs, Ryan P.","contributorId":265437,"corporation":false,"usgs":false,"family":"Koenigs","given":"Ryan P.","affiliations":[{"id":16117,"text":"Wisconsin DNR","active":true,"usgs":false}],"preferred":false,"id":836493,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70230771,"text":"70230771 - 2021 - Fluid-earthquake and earthquake-earthquake interactions in southern Kansas, USA","interactions":[],"lastModifiedDate":"2022-04-26T15:36:02.791587","indexId":"70230771","displayToPublicDate":"2021-02-01T10:28:43","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7501,"text":"JGR Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Fluid-earthquake and earthquake-earthquake interactions in southern Kansas, USA","docAbstract":"

An increase in injection activity associated with energy production in southern Kansas starting in 2013 has been linked to the occurrence of more than 130,000 earthquakes (M −1.5 to 4.9) between 2014 and 2017. Studies suggest that the dramatic increase in seismicity rate is related to wastewater injection into the highly permeable Arbuckle formation. Most of the seismicity is located in the underlying crystalline basement, for which hydrological properties and specific fault geometries are unknown. Additionally, some earthquake clusters occurred relatively far (tens of kilometers) from the main injection wells. Therefore, the effect of pore pressure diffusion may be insufficient to explain the relation between the volume of injected fluids and the spatiotemporal evolution of seismicity. Combining physical models (static stress and poroelasticity) and a statistical cluster analysis applied to a high-resolution relocated catalog, we analyze the evolution of seismicity in southern Kansas. We find that pore pressure changes (Δp) and Coulomb stress changes (ΔCFS) due to fluid diffusion smaller than 0.1 MPa are enough to initiate seismic sequences, which then evolve depending on their distance from the major injection wells. However, we find that earthquake sequences have different seismogenic responses to Δp and ΔCFS in terms of triggering threshold. In regions located close to disposal wells (Harper area) our cluster analysis suggests that both earthquake interactions and fluid diffusion control the evolution of seismicity. On the other hand, at greater distances (Milan area), where clustering behavior suggests greater earthquake interactions, we find that coseismic ΔCFS are larger than Δp.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2020JB020384","usgsCitation":"Verdecchia, A., Cochran, E.S., and Harrington, R.M., 2021, Fluid-earthquake and earthquake-earthquake interactions in southern Kansas, USA: JGR Solid Earth, v. 126, e2020JB020384, 17 p., https://doi.org/10.1029/2020JB020384.","productDescription":"e2020JB020384, 17 p.","ipdsId":"IP-124580","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":453604,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2020jb020384","text":"Publisher Index Page"},{"id":399674,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Kansas, Oklahoma","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -98.3,\n 36.75\n ],\n [\n -97.2,\n 36.75\n ],\n [\n -97.2,\n 37.5\n ],\n [\n -98.3,\n 37.5\n ],\n [\n -98.3,\n 36.75\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"126","noUsgsAuthors":false,"publicationDate":"2021-03-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Verdecchia, A.","contributorId":221418,"corporation":false,"usgs":false,"family":"Verdecchia","given":"A.","affiliations":[{"id":40369,"text":"Institute of Geology, Mineralogy and Geophysics, Ruhr-University Bochum, Bochum, Germany; Department of Earth and Environmental Sciences, Ludwig-Maximilians University, Munich, Germany","active":true,"usgs":false}],"preferred":false,"id":841338,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cochran, Elizabeth S. 0000-0003-2485-4484 ecochran@usgs.gov","orcid":"https://orcid.org/0000-0003-2485-4484","contributorId":2025,"corporation":false,"usgs":true,"family":"Cochran","given":"Elizabeth","email":"ecochran@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":841339,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harrington, R. M","contributorId":156299,"corporation":false,"usgs":false,"family":"Harrington","given":"R.","email":"","middleInitial":"M","affiliations":[{"id":6646,"text":"McGill University","active":true,"usgs":false}],"preferred":false,"id":841340,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70229038,"text":"70229038 - 2021 - Sex-specific behaviors of hunted mule deer during rifle season","interactions":[],"lastModifiedDate":"2022-02-28T16:31:15.834673","indexId":"70229038","displayToPublicDate":"2021-02-01T10:19:26","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Sex-specific behaviors of hunted mule deer during rifle season","docAbstract":"

Animal populations face increased threats to mobility and access to critical habitat from a variety of human disturbances including roads, residential development, agriculture, and energy development. Disturbance from human hunting is known to alter habitat use in ungulates, but recent work suggests that hunting may also trigger the onset of migration. Whether this holds true across ungulate species and hunting systems warrants further empirical testing. We used global positioning system location data from mule deer (Odocoileus hemionus) in south-central Wyoming, USA, to evaluate the sex-specific effects of hunting on habitat selection and migratory behavior from 2016 to 2018. We modeled habitat selection before and during hunting season using a step selection function, and we used time-to-event models to evaluate if hunting triggered migration. We found habitat selection and migration timing to be sex specific. Males responded to hunting season by selecting security habitat away from motorized routes, whereas females used habitat through hunting season that retained higher forage quality. Weather, as indexed by temperature and precipitation (i.e., snowfall), influenced migration timing for males and females. Migration timing in males was influenced by migration distance, where individuals traveling >50 km tended to migrate earlier than individuals moving <50 km. For deer that survived to rifle season, hunting was less influential on migration timing than environmental factors. Rifle season increased the likelihood of migration by 2% in females and <0.01% in males compared to outside rifle season. Our findings suggest that roadless areas on mule deer summer ranges and within migration corridors reduce the effects of hunting disturbance. Consequently, managers may consider limiting the use of motorized vehicles as a method for reducing effects on migration from hunting disturbance.

","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.21988","usgsCitation":"Rodgers, P.A., Sawyer, H., Mong, T.W., Stephens, S., and Kauffman, M., 2021, Sex-specific behaviors of hunted mule deer during rifle season: Journal of Wildlife Management, v. 85, no. 2, p. 215-227, https://doi.org/10.1002/jwmg.21988.","productDescription":"13 p.","startPage":"215","endPage":"227","ipdsId":"IP-123653","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":396562,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -108.885498046875,\n 39.35129035526705\n ],\n [\n -105.325927734375,\n 39.35129035526705\n ],\n [\n -105.325927734375,\n 42.67435857693381\n ],\n [\n -108.885498046875,\n 42.67435857693381\n ],\n [\n -108.885498046875,\n 39.35129035526705\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"85","issue":"2","noUsgsAuthors":false,"publicationDate":"2020-12-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Rodgers, Patrick A.","contributorId":286877,"corporation":false,"usgs":false,"family":"Rodgers","given":"Patrick","email":"","middleInitial":"A.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":836491,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sawyer, Hall","contributorId":39930,"corporation":false,"usgs":false,"family":"Sawyer","given":"Hall","affiliations":[],"preferred":false,"id":836338,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mong, Tony W.","contributorId":243064,"corporation":false,"usgs":false,"family":"Mong","given":"Tony","email":"","middleInitial":"W.","affiliations":[{"id":48630,"text":"wy gF","active":true,"usgs":false}],"preferred":false,"id":836339,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stephens, Sam","contributorId":286876,"corporation":false,"usgs":false,"family":"Stephens","given":"Sam","email":"","affiliations":[{"id":34137,"text":"Wyoming Fish and Game Department","active":true,"usgs":false}],"preferred":false,"id":836340,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kauffman, Matthew J. 0000-0003-0127-3900","orcid":"https://orcid.org/0000-0003-0127-3900","contributorId":202921,"corporation":false,"usgs":true,"family":"Kauffman","given":"Matthew","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":836337,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70240188,"text":"70240188 - 2021 - Mineral deposits of the Mesoproterozoic Midcontinent Rift System in the Lake Superior region – Metallogeny of the prolifically mineralized Keweenawan LIP","interactions":[],"lastModifiedDate":"2023-02-07T16:18:06.383316","indexId":"70240188","displayToPublicDate":"2021-02-01T10:09:18","publicationYear":"2021","noYear":false,"publicationType":{"id":25,"text":"Newsletter"},"publicationSubtype":{"id":30,"text":"Newsletter"},"title":"Mineral deposits of the Mesoproterozoic Midcontinent Rift System in the Lake Superior region – Metallogeny of the prolifically mineralized Keweenawan LIP","docAbstract":"

The Keweenawan large igneous province (LIP) of the Midcontinent Rift System (MRS) of North America is perhaps the most prolifically and diversely mineralized LIP known on Earth (Nicholson et al., 1992). The MRS is an approximately 2,200 km curvilinear continental rift that stretches from Kansas northeast to the Lake Superior region where it turns southeast and extends through lower Michigan (Fig. 1). Rocks of the MRS host a varied suite of magmatic and hydrothermal mineral deposits in the Lake Superior region of the United States and Canada where rift rocks are exposed at or near the surface. Historically, hydrothermal deposits, such as Michigan’s native Cu deposits and the White Pine sediment-hosted stratiform Cu deposit, were major MRS metal producers. On-going exploration for and potential development of Cu-Ni sulfide deposits hosted by the Duluth Complex of Minnesota and the opening of the Eagle Ni mine in Michigan indicate an expanding interest in MRS magmatic deposits. Many of the MRS hydrothermal and magmatic mineral deposits are significant past, present, and likely future providers of critical minerals. We have placed these deposits into a space and time metallogenic framework (Woodruff et al., 2020a) that is summarized here.

","largerWorkType":{"id":25,"text":"Newsletter"},"largerWorkTitle":"Large Igneous Province of the Month (http://www.largeigneousprovinces.org/LOM)","largerWorkSubtype":{"id":30,"text":"Newsletter"},"language":"English","usgsCitation":"Woodruff, L.G., Schulz, K., Nicholson, S., and Dicken, C.L., 2021, Mineral deposits of the Mesoproterozoic Midcontinent Rift System in the Lake Superior region – Metallogeny of the prolifically mineralized Keweenawan LIP, HTML Document.","productDescription":"HTML Document","ipdsId":"IP-126571","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":412817,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":412816,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.largeigneousprovinces.org/21feb","linkFileType":{"id":5,"text":"html"}}],"country":"Canada, United States","state":"Iowa, Kansas, Minnesota, Michigan, Nebraska, Ontario, Wisconsin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -82,\n 50\n ],\n [\n -100,\n 50\n ],\n [\n -100,\n 37\n ],\n [\n -82,\n 37\n ],\n [\n -82,\n 50\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Woodruff, Laurel G. 0000-0002-2514-9923 woodruff@usgs.gov","orcid":"https://orcid.org/0000-0002-2514-9923","contributorId":2224,"corporation":false,"usgs":true,"family":"Woodruff","given":"Laurel","email":"woodruff@usgs.gov","middleInitial":"G.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":862903,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schulz, Klaus 0000-0003-2967-4765","orcid":"https://orcid.org/0000-0003-2967-4765","contributorId":301874,"corporation":false,"usgs":false,"family":"Schulz","given":"Klaus","affiliations":[{"id":65356,"text":"GEM Emeritus","active":true,"usgs":false}],"preferred":false,"id":862904,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nicholson, Suzanne 0000-0002-9365-1894","orcid":"https://orcid.org/0000-0002-9365-1894","contributorId":301875,"corporation":false,"usgs":false,"family":"Nicholson","given":"Suzanne","affiliations":[],"preferred":false,"id":862905,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dicken, Connie L. 0000-0002-1617-8132 cdicken@usgs.gov","orcid":"https://orcid.org/0000-0002-1617-8132","contributorId":57098,"corporation":false,"usgs":true,"family":"Dicken","given":"Connie","email":"cdicken@usgs.gov","middleInitial":"L.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":862906,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70225633,"text":"70225633 - 2021 - Hybridization between historically allopatric Chinook salmon populations in the White Salmon River, WA","interactions":[],"lastModifiedDate":"2021-10-28T14:49:09.554681","indexId":"70225633","displayToPublicDate":"2021-02-01T09:48:31","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":7504,"text":"Final Report","active":true,"publicationSubtype":{"id":1}},"title":"Hybridization between historically allopatric Chinook salmon populations in the White Salmon River, WA","docAbstract":"

Chinook Salmon spawning in the White Salmon River consist of members of three historically distinct populations: spring Chinook Salmon, Tule fall Chinook Salmon and Upriver Bright (URB) fall Chinook Salmon. Previous work examined juveniles captured in 2006-2008 and reported hybridization between introduced URBs, and the native threatened Tules. Recent increases in nearby hatchery URB release numbers raised the question of whether hybridization rates were increasing. We estimated hybrid frequencies among juveniles collected in the lower White Salmon River between 2016 and 2019. We also evaluated the frequencies at which non-target fish and hybrids were incorporated into the broodstocks of adjacent hatcheries. We observed that frequencies of hybrids in juvenile samples from the White Salmon River were greater in 2017-2019 (17-32%) than they had been in 2006-2008 (4-15%), but that a few (2/9) comparisons exhibited overlapping confidence intervals, suggesting that the rate has increased over time, but also that more sampling is needed to understand the importance of year-to-year variation. Further, differences in the habitat following dam removal and in the sampling sites complicated interpretation of our results. Examination of broodstocks of nearby hatcheries revealed low rates (< 0.5%) of incorporation of non-target populations and higher rates (< 9.0%) of incorporation of hybrids into those broodstocks. The relative compositions of all hatchery and natural-origin collections were similar: most individuals were one of the two parental stocks, a very small fraction were F1 hybrids, and a larger minority fraction were back-crosses. This pattern, in the context of hybridization which we know has been happening for several generations, is consistent with a hypothesis of selection against hybrids in which F1 hybrids are less fit than backcross hybrids.

","language":"English","publisher":"U.S. Fish and Wildlife Service","usgsCitation":"Smith, C.A., Von Bargen, J., Bohling, J.H., Hand, D., and Jezorek, I., 2021, Hybridization between historically allopatric Chinook salmon populations in the White Salmon River, WA: Final Report, 33 p.","productDescription":"33 p.","ipdsId":"IP-125222","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":391088,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":391087,"type":{"id":15,"text":"Index Page"},"url":"https://www.fws.gov/aftc/Reports.cfm"}],"country":"United States","state":"Washington","otherGeospatial":"White Salmon River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.67495727539061,\n 45.7128920322567\n ],\n [\n -121.58638000488281,\n 45.7128920322567\n ],\n [\n -121.58638000488281,\n 45.9258414459865\n ],\n [\n -121.67495727539061,\n 45.9258414459865\n ],\n [\n -121.67495727539061,\n 45.7128920322567\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, Christian A.","contributorId":200768,"corporation":false,"usgs":false,"family":"Smith","given":"Christian","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":826010,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Von Bargen, Jennifer","contributorId":223558,"corporation":false,"usgs":false,"family":"Von Bargen","given":"Jennifer","email":"","affiliations":[{"id":40741,"text":"USFWS, Abernathy Fish Technology Center, Longview, WA","active":true,"usgs":false}],"preferred":false,"id":826011,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bohling, Justin H.","contributorId":171656,"corporation":false,"usgs":false,"family":"Bohling","given":"Justin","email":"","middleInitial":"H.","affiliations":[{"id":6975,"text":"Penn State","active":true,"usgs":false}],"preferred":false,"id":826012,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hand, David","contributorId":140786,"corporation":false,"usgs":false,"family":"Hand","given":"David","email":"","affiliations":[{"id":6678,"text":"U.S. Fish and Wildlife Service, Alaska Maritime National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":826013,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jezorek, Ian 0000-0002-3842-3485","orcid":"https://orcid.org/0000-0002-3842-3485","contributorId":217811,"corporation":false,"usgs":true,"family":"Jezorek","given":"Ian","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":826014,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ]}