{"pageNumber":"282","pageRowStart":"7025","pageSize":"25","recordCount":165309,"records":[{"id":70250979,"text":"70250979 - 2023 - Movement ecology of diploid and triploid grass carp in a large reservoir and upstream tributaries","interactions":[],"lastModifiedDate":"2024-01-18T11:50:28.906291","indexId":"70250979","displayToPublicDate":"2023-03-08T05:48:43","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Movement ecology of diploid and triploid grass carp in a large reservoir and upstream tributaries","docAbstract":"<div class=\"abstract toc-section abstract-type-\"><div class=\"abstract-content\"><p>Grass carp<span>&nbsp;</span><i>Ctenopharyngodon idella</i>, is an herbivorous fish originally brought to North America from Asia in 1963 to control nuisance aquatic vegetation. Since their arrival, detrimental alterations to aquatic ecosystems have sometimes occurred in waterways where they were initially stocked and into which they have escaped. The movements of grass carp from lentic systems into tributaries required for spawning is poorly understood, and understanding environmental conditions associated with upstream migrations may aid in management of the species. We stocked 43 fertile diploid and 43 sterile triploid grass carp implanted with acoustic transmitters into Truman Reservoir, Missouri, USA between January 2017 and October 2018 to characterize movements during spring and summer when spawning conditions occur. Twenty fish (11 diploid/9 triploid) exhibited upstream migration behavior in the Osage River, a major tributary, in 2018 and 2019. Migration primarily occurred in April and May, during high discharge events associated with increasing river stage when water temperatures were between 15 and 28°C. Observed migrations ranged from 3.0–108 river km in length, and six individuals were observed making multiple upstream migrations in one season. Eleven fish initiated upstream migrations while in the lentic main body of the reservoir. These findings provide some evidence for upstream migrations by diploid and triploid grass carp as well both lake and river residents. Evidence of similar upstream migration behavior by both diploid and triploid grass carp suggests that triploids may be suitable surrogates for diploids for study of movement ecology. Removal efforts in tributaries targeting periods of increasing river stage during spring may provide the best opportunity of encountering large concentrations of grass carp.</p></div></div>","language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0281128","usgsCitation":"Hessler, T.M., Chapman, D., Paukert, C.P., Jolley, J., and Byrne, M.E., 2023, Movement ecology of diploid and triploid grass carp in a large reservoir and upstream tributaries: PLoS ONE, v. 18, no. 3, e0281128, 17 p., https://doi.org/10.1371/journal.pone.0281128.","productDescription":"e0281128, 17 p.","ipdsId":"IP-143080","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":444274,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.1371/journal.pone.0281128","text":"Publisher Index Page"},{"id":435421,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P94Z1S3B","text":"USGS data release","linkHelpText":"Grass Carp detections via stationary receivers and manual tracking on Truman Reservoir, MO, January 2017 to October 2019"},{"id":424553,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Missouri","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-89.545006,36.336809],[-89.605668,36.342234],[-89.615841,36.336085],[-89.620255,36.323006],[-89.611819,36.309088],[-89.578492,36.288317],[-89.554289,36.277751],[-89.539487,36.277368],[-89.534507,36.261802],[-89.539229,36.248821],[-89.562206,36.250909],[-89.577544,36.242262],[-89.602374,36.238106],[-89.642182,36.249486],[-89.678046,36.248284],[-89.695235,36.252766],[-89.705328,36.239898],[-89.69263,36.224959],[-89.607004,36.171179],[-89.591605,36.144096],[-89.59307,36.129699],[-89.601936,36.11947],[-89.666598,36.095802],[-89.678821,36.084636],[-89.688577,36.029238],[-89.706932,36.000981],[-90.37789,35.995683],[-90.351732,36.025347],[-90.34909,36.040131],[-90.339343,36.047112],[-90.333261,36.067504],[-90.320746,36.071326],[-90.320662,36.087138],[-90.29991,36.098236],[-90.294492,36.112949],[-90.266256,36.120559],[-90.235585,36.139474],[-90.231386,36.147348],[-90.23537,36.159153],[-90.220425,36.184764],[-90.21128,36.183392],[-90.188189,36.20536],[-90.152497,36.215582],[-90.14224,36.227522],[-90.126366,36.229367],[-90.130114,36.240307],[-90.118219,36.253491],[-90.114922,36.265595],[-90.086471,36.271531],[-90.06398,36.303038],[-90.081961,36.322097],[-90.074074,36.342895],[-90.077695,36.348478],[-90.066297,36.3593],[-90.064514,36.382085],[-90.078671,36.399116],[-90.138512,36.413952],[-90.134231,36.422827],[-90.143743,36.424433],[-90.143798,36.428483],[-90.134136,36.436602],[-90.137323,36.455411],[-90.141101,36.461791],[-90.155804,36.463555],[-90.152888,36.47093],[-90.142222,36.470554],[-90.143683,36.476029],[-90.158838,36.479558],[-90.159305,36.492446],[-90.152481,36.497952],[-94.617919,36.499414],[-94.617975,37.722176],[-94.607354,39.113444],[-94.589933,39.140403],[-94.591933,39.155003],[-94.608834,39.160503],[-94.640035,39.153103],[-94.662435,39.157603],[-94.663835,39.179103],[-94.680336,39.184303],[-94.714137,39.170403],[-94.741938,39.170203],[-94.763138,39.179903],[-94.781518,39.206146],[-94.811663,39.206594],[-94.831679,39.215938],[-94.835056,39.220658],[-94.825663,39.241729],[-94.831471,39.256273],[-94.84632,39.268481],[-94.887056,39.28648],[-94.905329,39.311952],[-94.910017,39.352543],[-94.88136,39.370383],[-94.879281,39.37978],[-94.885026,39.389801],[-94.901823,39.392798],[-94.92311,39.384492],[-94.942039,39.389499],[-94.946293,39.405646],[-94.972952,39.421705],[-94.982144,39.440552],[-95.0375,39.463689],[-95.045716,39.472459],[-95.052177,39.499996],[-95.082714,39.516712],[-95.109304,39.542285],[-95.113077,39.559133],[-95.103228,39.577783],[-95.089515,39.581028],[-95.064519,39.577115],[-95.049277,39.589583],[-95.046361,39.599557],[-95.055152,39.621657],[-95.053367,39.630347],[-95.027644,39.665454],[-95.018318,39.672869],[-94.984149,39.67785],[-94.971317,39.68641],[-94.971206,39.729305],[-94.965318,39.739065],[-94.948726,39.745593],[-94.902612,39.724202],[-94.875643,39.730494],[-94.862943,39.742994],[-94.860743,39.763094],[-94.869644,39.772894],[-94.912293,39.759338],[-94.934262,39.773642],[-94.935206,39.78313],[-94.929654,39.788282],[-94.884084,39.794234],[-94.875944,39.813294],[-94.878677,39.826522],[-94.886933,39.833098],[-94.916918,39.836138],[-94.942567,39.856602],[-94.928466,39.876344],[-94.929574,39.888754],[-94.95154,39.900533],[-94.986975,39.89667],[-95.00844,39.900596],[-95.024389,39.891202],[-95.027931,39.871522],[-95.037767,39.865542],[-95.085003,39.861883],[-95.128166,39.874165],[-95.140601,39.881688],[-95.143802,39.901918],[-95.149657,39.905948],[-95.179453,39.900062],[-95.199347,39.902709],[-95.206326,39.912121],[-95.20069,39.928155],[-95.204428,39.938949],[-95.250254,39.948644],[-95.269886,39.969396],[-95.302507,39.984357],[-95.315271,40.01207],[-95.356876,40.031522],[-95.387195,40.02677],[-95.40726,40.033112],[-95.416824,40.043235],[-95.42164,40.058952],[-95.409856,40.07432],[-95.407591,40.09803],[-95.394216,40.108263],[-95.39284,40.115887],[-95.398667,40.126419],[-95.428749,40.135577],[-95.436348,40.15872],[-95.460746,40.169173],[-95.479193,40.185652],[-95.482757,40.197346],[-95.469718,40.227908],[-95.477501,40.24272],[-95.490333,40.248966],[-95.521925,40.24947],[-95.552473,40.261904],[-95.556325,40.267714],[-95.550966,40.285947],[-95.562157,40.297359],[-95.581787,40.29958],[-95.610439,40.31397],[-95.642262,40.306025],[-95.657328,40.310856],[-95.653729,40.322582],[-95.625204,40.334288],[-95.623728,40.346567],[-95.641027,40.366399],[-95.643934,40.386849],[-95.659134,40.40869],[-95.65819,40.44188],[-95.693133,40.469396],[-95.699969,40.505275],[-95.661687,40.517309],[-95.652262,40.538114],[-95.655848,40.546609],[-95.671754,40.562626],[-95.678718,40.56256],[-95.694147,40.556942],[-95.69505,40.533124],[-95.708591,40.521551],[-95.722444,40.528118],[-95.75711,40.52599],[-95.769281,40.536656],[-95.763366,40.550797],[-95.773549,40.578205],[-95.765645,40.585208],[-94.632035,40.571186],[-94.080463,40.572899],[-92.689854,40.589884],[-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 \"}}]}","volume":"18","issue":"3","noUsgsAuthors":false,"publicationDate":"2023-03-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Hessler, Tyler Michael 0000-0001-5062-2340","orcid":"https://orcid.org/0000-0001-5062-2340","contributorId":272075,"corporation":false,"usgs":true,"family":"Hessler","given":"Tyler","email":"","middleInitial":"Michael","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":892627,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chapman, Duane 0000-0002-1086-8853 dchapman@usgs.gov","orcid":"https://orcid.org/0000-0002-1086-8853","contributorId":1291,"corporation":false,"usgs":true,"family":"Chapman","given":"Duane","email":"dchapman@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":892628,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Paukert, Craig P. 0000-0002-9369-8545","orcid":"https://orcid.org/0000-0002-9369-8545","contributorId":245524,"corporation":false,"usgs":true,"family":"Paukert","given":"Craig","middleInitial":"P.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":892629,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jolley, Jeff C.","contributorId":272076,"corporation":false,"usgs":false,"family":"Jolley","given":"Jeff C.","affiliations":[{"id":36986,"text":"Michigan Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":892630,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Byrne, Michael E. 0000-0001-9190-2728 mbyrne@usgs.gov","orcid":"https://orcid.org/0000-0001-9190-2728","contributorId":272077,"corporation":false,"usgs":false,"family":"Byrne","given":"Michael","email":"mbyrne@usgs.gov","middleInitial":"E.","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":892631,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70240929,"text":"sir20235002 - 2023 - Hydrologic effects of possible changes in water-supply withdrawals from, and effluent recharge to, the Kirkwood-Cohansey aquifer system, Winslow Township, Camden County, New Jersey","interactions":[],"lastModifiedDate":"2026-02-24T18:09:00.975169","indexId":"sir20235002","displayToPublicDate":"2023-03-07T14:25:00","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-5002","displayTitle":"Hydrologic Effects of Possible Changes in Water-Supply Withdrawals from, and Effluent Recharge to, the Kirkwood-Cohansey aquifer system, Winslow Township, Camden County, New Jersey","title":"Hydrologic effects of possible changes in water-supply withdrawals from, and effluent recharge to, the Kirkwood-Cohansey aquifer system, Winslow Township, Camden County, New Jersey","docAbstract":"<p>Winslow Township and the Camden County Municipal Utility Authority (CCMUA) developed a plan to shut down the Winslow sewage-treatment facility and associated effluent infiltration facility and transfer the effluent to the CCMUA sewage-treatment facility on the Delaware River in Camden, New Jersey. Winslow Township reduced groundwater withdrawals from the Kirkwood-Cohansey aquifer system to offset groundwater recharge lost with the cessation of effluent infiltration. The U.S. Geological Survey, in cooperation with Winslow Township and the CCMUA, collected data to evaluate conditions prior to cessation of effluent infiltration and installed two continuous-record streamflow-gaging stations. Streamflow measurements also were made at two low-flow partial-record sites, and groundwater levels were measured in 17 wells at high and low water-level periods (May and September 2010). A groundwater-flow model provides estimated changes in base flow of the Great Egg Harbor River under several groundwater-withdrawal and effluent infiltration scenarios.</p><p>Water levels were measured in an observation well 480 feet (ft) from the infiltration lagoons during 1971–2010. A downward trend in water levels in the well prior to 1985 is attributed in part to increased impervious surfaces and groundwater withdrawals associated with development in the area that began in the early 1970s. From late 1985 to 2010, there was an upward trend in water levels in the well that is attributed to the construction of nearby effluent infiltration lagoons in 1985 and the increasing rate of effluent infiltration during the period. Recent and historical measurements made at the four surface-water sites were correlated with same-day discharges measured at three nearby index stations to estimate continuous low-flow record at the sites. Effects on base flow caused by reductions in groundwater withdrawals or the cessation of effluent infiltration in Winslow Township could not be ascertained from the available data with the statistical and analysis methods used.</p><p>Groundwater discharge to streams (base flow) was simulated with a groundwater-flow model of the Great Egg Harbor and Mullica River Basins. Simulated monthly base flows using 2008–10 withdrawal rates and effluent recharge (Scenario 1) are generally about 1.5 million gallons per day (Mgal/d) greater than simulated base flows using 2003–07 withdrawal rates (Baseline Scenario) because of the 1.57 Mgal/d reduction in average withdrawals by Winslow Township from the Kirkwood-Cohansey aquifer system from 2003–07 to 2008–10. Simulated monthly base flows using 2008–10 withdrawals but without effluent infiltration (Scenario 2) are very similar to, but typically slightly lower than, Baseline Scenario base flows.</p><p>Three hypothetical future distributions of groundwater withdrawals from existing Winslow Township wells are simulated, each without effluent infiltration and using the same groundwater withdrawal rate as Scenario 2, but with different hypothetical distributions of withdrawals among existing Winslow Township wells. The Scenario 3 and 4 base flows are greater than the Baseline Scenario base flows in all months, and the Scenario 5 base flows are less than the Baseline Scenario base flows in all months. The simulation results indicate that a reduction in average withdrawals from the Kirkwood-Cohansey aquifer system by 1.57 Mgal/d offsets the reduction of effluent infiltration by about the same rate, resulting in nearly unchanged base flows in the Great Egg Harbor River near Blue Anchor (01410820).</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235002","collaboration":"Prepared in cooperation with the Township of Winslow and the Camden County Municipal Utilities Authority","usgsCitation":"Carleton, G.B., and Pope, D.A., 2023, Hydrologic effects of possible changes in water-supply withdrawals from, and effluent recharge to, the Kirkwood-Cohansey aquifer system, Winslow Township, Camden County, New Jersey: U.S. Geological Survey Scientific Investigations Report 2023–5002, 16 p., https://doi.org/10.3133/sir20235002.","productDescription":"Report: vii, 16 p.; Data Release","numberOfPages":"16","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-057410","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":413542,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7154G0Z","text":"USGS data release","linkHelpText":"MODFLOW-2000 model used to evaluate the effects of possible changes in water-supply withdrawals from, and effluent recharge to, the Kirkwood-Cohansey aquifer system, Winslow Township, Camden County, New Jersey"},{"id":500487,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_114441.htm","linkFileType":{"id":5,"text":"html"}},{"id":413541,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2023/5002/images/"},{"id":413538,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2023/5002/sir20235002.pdf","text":"Report","size":"1.58 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2023-5002"},{"id":413537,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2023/5002/coverthb.jpg"},{"id":413539,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20235002/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2023-5002"},{"id":413540,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2023/5002/sir20235002.XML"}],"country":"United States","state":"New Jersey","county":"Camden County","otherGeospatial":"Winslow Township","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -75,\n              39.833\n            ],\n            [\n              -75,\n              39.5833\n            ],\n            [\n              -74.833,\n              39.5833\n            ],\n            [\n              -74.833,\n              39.833\n            ],\n            [\n              -75,\n              39.833\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/new-jersey-water-science-center\" data-mce-href=\"https://www.usgs.gov/centers/new-jersey-water-science-center\">New Jersey Water Science Center</a><br>U.S. Geological Survey<br>3450 Princeton Pike, Suite 110<br>Lawrenceville, NJ, 08648</p><p><a href=\"https://pubs.er.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Analysis of Groundwater Levels and Surface-Water Flow</li><li>Simulated Base Flow in the Great Egg Harbor River</li><li>Summary and Conclusions</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2023-03-07","noUsgsAuthors":false,"publicationDate":"2023-03-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Carleton, Glen B. 0000-0002-7666-4407","orcid":"https://orcid.org/0000-0002-7666-4407","contributorId":208415,"corporation":false,"usgs":true,"family":"Carleton","given":"Glen B.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":865337,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pope, Daryll A. 0000-0002-6777-8285 dpope@usgs.gov","orcid":"https://orcid.org/0000-0002-6777-8285","contributorId":208416,"corporation":false,"usgs":true,"family":"Pope","given":"Daryll","email":"dpope@usgs.gov","middleInitial":"A.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":865338,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70241022,"text":"sir20235007 - 2023 - Status of water-level altitudes and long-term and short-term water-level changes in the Chicot and Evangeline (undifferentiated) and Jasper aquifers, greater Houston area, Texas, 2022","interactions":[],"lastModifiedDate":"2026-03-02T18:04:22.136258","indexId":"sir20235007","displayToPublicDate":"2023-03-07T13:51:09","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-5007","displayTitle":"Status of Water-Level Altitudes and Long-Term and Short-Term Water-Level Changes in the Chicot and Evangeline (Undifferentiated) and Jasper Aquifers, Greater Houston Area, Texas, 2022","title":"Status of water-level altitudes and long-term and short-term water-level changes in the Chicot and Evangeline (undifferentiated) and Jasper aquifers, greater Houston area, Texas, 2022","docAbstract":"<p>Since the early 1900s, groundwater withdrawn from the primary aquifers that compose the Gulf Coast aquifer system—the Chicot, Evangeline, and Jasper aquifers—has been an important source of water in the greater Houston area, Texas. This report, prepared by the U.S. Geological Survey in cooperation with the Harris-Galveston Subsidence District, City of Houston, Fort Bend Subsidence District, Lone Star Groundwater Conservation District, and Brazoria County Groundwater Conservation District, is one in an annual series of reports depicting the status of water-level altitudes and water-level changes in these aquifers in the greater Houston area.</p><p>In this report, the Chicot and Evangeline aquifers are treated as a single hydrogeologic unit for the purposes of providing annual assessments of regional-scale water-level altitudes and changes over time. In 2022, shaded depictions of water-level altitudes for the Chicot and Evangeline aquifers (undifferentiated) ranged from about 270 feet (ft) below the North American Vertical Datum of 1988 (NAVD 88) to about 195 ft above NAVD 88. The largest decline in water-level altitudes indicated by the 1977–2022 long-term water-level-change map was southeast of The Woodlands. In comparison, the 1990–2022 long-term water-level-change map depicts declines in water-level altitudes in localized areas at or near certain wells in parts of northwestern Harris County and southern Montgomery County. The largest rise in water-level altitudes for 1977–2022 was observed in a relatively large area in southeastern Harris County, whereas the largest rise in water-level altitudes for 1990–2022 was observed in a relatively small area in central Harris County. The 5-year short-term water-level-change map depicts the largest declines at three wells in northern Fort Bend County and the largest rises at five wells in southwestern and central Harris County. The 1-year short-term water-level-change map depicts the largest decline at a well in north-central Harris County and the largest rises at a well in north-central Fort Bend County and a well in southwestern Harris County.</p><p>In 2022, shaded depictions of water-level altitudes for the Jasper aquifer ranged from about 213 ft below NAVD 88 to about 285 ft above NAVD 88. The 2000–22 long-term water-level-change map depicts water-level declines throughout most of the study area where water-level-measurement data from the aquifer were collected, with the largest decline in north-central Harris County and south-central Montgomery County south of The Woodlands. The 5-year short-term water-level-change map depicts the largest decline at a well in Conroe and the largest rise at a well in south-central Montgomery County. The 1-year short-term water-level-change map depicts the largest decline at a well in south-central Montgomery County east of The Woodlands and the largest rise at a well in Conroe.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235007","collaboration":"Prepared in cooperation with the Harris-Galveston Subsidence District, City of Houston, Fort Bend Subsidence District, Lone Star Groundwater Conservation District, and Brazoria County Groundwater Conservation District","usgsCitation":"Ramage, J.K., and Braun, C.L., 2023, Status of water-level altitudes and long-term and short-term water-level changes in the Chicot and Evangeline (undifferentiated) and Jasper aquifers, greater Houston area, Texas, 2022: U.S. Geological Survey Scientific Investigations Report 2023–5007, 26 p., https://doi.org/10.3133/sir20235007.","productDescription":"Report: v, 26 p.; 2 Data Releases; Dataset","numberOfPages":"36","onlineOnly":"Y","ipdsId":"IP-144568","costCenters":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":413744,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9F32XDT","text":"USGS data release","linkHelpText":"Groundwater-level altitudes and long-term groundwater-level changes in the Chicot and Evangeline (undifferentiated) and Jasper aquifers, greater Houston area, Texas, 2022"},{"id":413743,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P967ZHTU","text":"USGS data release","linkHelpText":"Depth to groundwater measured from wells completed in the Chicot and Evangeline (undifferentiated) and Jasper aquifers, greater Houston area, Texas, 2022"},{"id":413745,"rank":7,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System database","linkHelpText":"—USGS water data for the Nation"},{"id":413736,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2023/5007/sir20235007.XML","text":"Report","linkFileType":{"id":8,"text":"xml"}},{"id":413852,"rank":8,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.er.usgs.gov/publication/sir20235007/full","text":"Report","linkFileType":{"id":5,"text":"html"}},{"id":413730,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2023/5007/coverthb.jpg"},{"id":413735,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2023/5007/sir20235007.pdf","text":"Report","size":"13.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2023–5007"},{"id":413742,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2023/5007/images"},{"id":500687,"rank":9,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_114444.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Texas","city":"Houston","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -94.20508784641805,\n              29.65321984264439\n            ],\n            [\n              -94.58944610142002,\n              30.08175651239739\n            ],\n            [\n              -95.09460266513673,\n              30.461126573452134\n            ],\n            [\n              -95.76448419528316,\n              30.669153528428893\n            ],\n            [\n              -96.01706247714125,\n              30.57465112178049\n            ],\n            [\n              -96.32454908114292,\n              30.091258611624937\n            ],\n            [\n              -96.14884245028512,\n              29.605491239224605\n            ],\n            [\n              -95.84135584628345,\n      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href=\"https://pubs.er.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Water-Level Altitudes and Long-Term and Short-Term Water-Level Changes</li><li>Data Limitations</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2023-03-07","noUsgsAuthors":false,"publicationDate":"2023-03-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Ramage, Jason K. 0000-0001-8014-2874 jkramage@usgs.gov","orcid":"https://orcid.org/0000-0001-8014-2874","contributorId":3856,"corporation":false,"usgs":true,"family":"Ramage","given":"Jason","email":"jkramage@usgs.gov","middleInitial":"K.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":865747,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Braun, Christopher L. 0000-0002-5540-2854 clbraun@usgs.gov","orcid":"https://orcid.org/0000-0002-5540-2854","contributorId":925,"corporation":false,"usgs":true,"family":"Braun","given":"Christopher","email":"clbraun@usgs.gov","middleInitial":"L.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":865748,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70241017,"text":"fs20223082 - 2023 - Geologic energy storage","interactions":[],"lastModifiedDate":"2023-04-17T15:58:36.551686","indexId":"fs20223082","displayToPublicDate":"2023-03-07T12:45:00","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2022-3082","displayTitle":"Geologic Energy Storage","title":"Geologic energy storage","docAbstract":"<h1>Introduction&nbsp;</h1><p>As the United States transitions away from fossil fuels, its economy will rely on more renewable energy. Because current renewable energy sources sometimes produce variable power supplies, it is important to store energy for use when power supply drops below power demand. Battery storage is one method to store power. However, geologic (underground) energy storage may be able to retain vastly greater quantities of energy over much longer durations compared to typical battery storage. Geologic energy storage also has high flexibility; many different types of materials can be used to store chemical, thermal, or mechanical energy in a variety of underground settings. The U.S. Geological Survey (USGS) has the capability to research and assess possible domestic geologic energy storage resources to help prepare the United States for the future of renewable energy.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20223082","programNote":"Energy Resources Program","usgsCitation":"Buursink, M.L., Anderson, S.T., Brennan, S.T., Burns, E.R., Freeman, P.A., Gallotti, J.S., Lohr, C.D., Merrill, M. D., Morrissey, E.A., Plampin, M.R., and Warwick, P.D., 2023, Geologic energy storage: U.S. Geological Survey Fact Sheet 2022–3082, 4 p., https://doi.org/10.3133/fs20223082.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-137766","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":413716,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2022/3082/coverthb2.jpg"},{"id":413720,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2022/3082/images/"},{"id":413719,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2022/3082/fs20223082.XML"},{"id":413711,"rank":6,"type":{"id":18,"text":"Project Site"},"url":"https://www.usgs.gov/centers/geology-energy-and-minerals-science-center/science/geologic-energy-storage","text":"Geologic Energy Storage","linkFileType":{"id":5,"text":"html"}},{"id":413717,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2022/3082/fs20223082.pdf","text":"Report","size":"6.57 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2022-3082"},{"id":413718,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20223082/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"FS 2022-3082"}],"contact":"<p><a href=\"https://www.usgs.gov/centers/geology-energy-and-minerals-science-center\" data-mce-href=\"https://www.usgs.gov/centers/geology-energy-and-minerals-science-center\">Geology, Energy &amp; Minerals Science Center</a><br>U.S. Geological Survey<br>Mail Stop 954<br>12201 Sunrise Valley Drive<br>Reston, VA 20192<br>Email: <a href=\"mailto:AskEnergyProgram@usgs.gov\" data-mce-href=\"mailto:AskEnergyProgram@usgs.gov\">AskEnergyProgram@usgs.gov</a></p>","tableOfContents":"<ul><li>Introduction</li><li>What is Geologic Energy Storage?</li><li>Can Geologic Energy Storage Help with the Energy Transition?</li><li>May Hydrogen be Stored Underground?</li><li>How Can the U.S. Geological Survey Help with Energy Storage Research?</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2023-03-07","noUsgsAuthors":false,"publicationDate":"2023-03-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Buursink, Marc L. 0000-0001-6491-386X","orcid":"https://orcid.org/0000-0001-6491-386X","contributorId":203357,"corporation":false,"usgs":true,"family":"Buursink","given":"Marc L.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":865735,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Steven T. 0000-0003-3481-3424 sanderson@usgs.gov","orcid":"https://orcid.org/0000-0003-3481-3424","contributorId":2532,"corporation":false,"usgs":true,"family":"Anderson","given":"Steven","email":"sanderson@usgs.gov","middleInitial":"T.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":865736,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brennan, Sean T. 0000-0002-7102-9359","orcid":"https://orcid.org/0000-0002-7102-9359","contributorId":204982,"corporation":false,"usgs":true,"family":"Brennan","given":"Sean T.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":865737,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Burns, Erick R. 0000-0002-1747-0506","orcid":"https://orcid.org/0000-0002-1747-0506","contributorId":225412,"corporation":false,"usgs":true,"family":"Burns","given":"Erick R.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":865738,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Freeman, Philip A. 0000-0002-0863-7431","orcid":"https://orcid.org/0000-0002-0863-7431","contributorId":224150,"corporation":false,"usgs":true,"family":"Freeman","given":"Philip A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":865739,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gallotti, Joao S. 0000-0002-7901-029X","orcid":"https://orcid.org/0000-0002-7901-029X","contributorId":302892,"corporation":false,"usgs":true,"family":"Gallotti","given":"Joao","email":"","middleInitial":"S.","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":865740,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lohr, Celeste D. 0000-0001-6287-9047 clohr@usgs.gov","orcid":"https://orcid.org/0000-0001-6287-9047","contributorId":3866,"corporation":false,"usgs":true,"family":"Lohr","given":"Celeste D.","email":"clohr@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":865741,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Merrill, Matthew D. 0000-0003-3766-847X","orcid":"https://orcid.org/0000-0003-3766-847X","contributorId":205698,"corporation":false,"usgs":true,"family":"Merrill","given":"Matthew D.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":865742,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Morrissey, Eric A. 0000-0001-9001-7487","orcid":"https://orcid.org/0000-0001-9001-7487","contributorId":204980,"corporation":false,"usgs":true,"family":"Morrissey","given":"Eric A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":865743,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Plampin, Michelle R. 0000-0003-4068-5801 mplampin@usgs.gov","orcid":"https://orcid.org/0000-0003-4068-5801","contributorId":204983,"corporation":false,"usgs":true,"family":"Plampin","given":"Michelle","email":"mplampin@usgs.gov","middleInitial":"R.","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":865744,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Warwick, Peter D. 0000-0002-3152-7783","orcid":"https://orcid.org/0000-0002-3152-7783","contributorId":207248,"corporation":false,"usgs":true,"family":"Warwick","given":"Peter D.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":865745,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70241021,"text":"sir20225113 - 2023 - South San Francisco Bay Salt Pond Restoration Project—A synthesis of Phase-1 mercury studies","interactions":[],"lastModifiedDate":"2026-02-23T19:43:30.923918","indexId":"sir20225113","displayToPublicDate":"2023-03-07T11:37:40","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2022-5113","displayTitle":"South San Francisco Bay Salt Pond Restoration Project—A Synthesis of Phase-1 Mercury Studies","title":"South San Francisco Bay Salt Pond Restoration Project—A synthesis of Phase-1 mercury studies","docAbstract":"<p>The South Bay Salt Pond Restoration Project (SBSPRP) encompasses over 6,000 hectares of former salt production ponds along the south edge of the San Francisco Bay and represents the largest wetland restoration effort on the west coast of North America. A series of studies associated with Phase 1 (2010–2018) restoration activities that are focused on a historically mercury contaminated slough and series of ponds within the restoration area have recently been completed. </p><p>This report brings together the key findings of these loosely coordinated studies and integrates the results into a more comprehensive and holistic product that informs future restoration activities associated with the SBSPRP and elsewhere. This report documents key findings associated with the breach of pond A6: (1) a short-term spike in slough fish (Mississippi silverside) total mercury concentration in lower Alviso Slough; (2) a short-term spike in surface-water particulate total mercury in lower Alviso Slough; (3) significant sediment scour in Alviso Slough adjacent to and downstream of the breach points; (4) a decrease in surface-sediment methylmercury (as a percentage of total mercury) in lower Alviso Slough; (5) the transport of 70 kilograms per year of sediment-associated total mercury into pond A6 during the first 2 years following the breach but with much of this coming from outside of Alviso Slough, presumably from the nearby shallows, Guadalupe Slough, and the larger southern San Francisco Bay area; and (6) a slowing of bed sediment erosion in lower Alviso Slough 3–5 years after the breaching of pond A6. </p><p>Although this report is not intended to be prescriptive in terms of the next steps the SBSPRP should or should not take, the totality of the findings presented provide critical process-level information regarding the extent and the duration of spikes in mercury levels in water, sediment, fish, and birds, which appeared to result from the two management actions under study. Thus, these results can be used to anticipate similar ecosystem responses associated with similar management actions that may be considered in the future. We also conclude this report by highlighting unanswered questions associated with mercury dynamics as it relates to the restoration project, and possible future directions for research.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20225113","collaboration":"Prepared in Cooperation with University of California–Davis, Federal University of Rio de Janeiro, and the Institute for Water Education–Delft, Netherlands","usgsCitation":"Marvin-DiPasquale, M., Slotton, D., Ackerman, J.T., Downing-Kunz, M., Jaffe, B.E., Foxgrover, A.C., Achete, F., and van der Wegen, M., 2022, South San Francisco Bay Salt Pond Restoration Project—A synthesis of Phase-1 mercury studies, U.S. Geological Survey Scientific Investigations Report 2022-5113, 147 p., https://doi.org/10.3133/sir20225113.","productDescription":"Report: x, 147 p.; 2 Data Releases","numberOfPages":"147","onlineOnly":"Y","ipdsId":"IP-115810","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":500460,"rank":5,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_114442.htm","linkFileType":{"id":5,"text":"html"}},{"id":413765,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7HQ3Z3K","text":"Mercury speciation and other constituent data from deep sediment cores in Alviso Slough, South San Francisco Bay, California, 2012–16","description":"Marvin-DiPasquale, M.C., Arias, M.R., Agee, J.L., Kieu, L.H., Kakouros, E., Jaffe, B.E., and Wahl, D.B., 2018, Mercury speciation and other constituent data from deep sediment cores in Alviso Slough, South San Francisco Bay, California, 2012–16: U.S. Geological Survey, Data Release, https://doi.org/10.5066/F7HQ3Z3K"},{"id":413764,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9MERSKP","text":"Mercury speciation and other constituent data for surface sediment and water associated with the South San Francisco Bay Salt Pond Restoration, 2010–18","description":"Marvin-DiPasquale, M.C., Agee, J.L., Arias, M.R., Kakouros, E., and Kieu, L.H., 2019, Mercury speciation and other constituent data for surface sediment and water associated with the South San Francisco Bay Salt Pond Restoration, 2010–18: U.S. Geological Survey Data Release, https://doi.org/10.5066/P9MERSKP."},{"id":413739,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2022/5113/sir20225013.pdf","text":"Report","size":"23 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Scientific Investigations Report 2022–5113"},{"id":413738,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2022/5113/covrthb.jpg"}],"country":"United States","state":"California","otherGeospatial":"South San Francisco Bay Salt Pond","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.40628984553588,\n              37.621994284187195\n            ],\n            [\n              -122.38464480833986,\n              37.58877023259778\n            ],\n            [\n              -122.34406036359792,\n              37.502962205483115\n            ],\n            [\n              -122.25071614069111,\n              37.4020116181121\n            ],\n            [\n              -122.14925502883574,\n              37.326747175135054\n            ],\n            [\n              -121.98015317574374,\n              37.31598895009128\n            ],\n            [\n              -121.85298858221822,\n              37.36976467248691\n            ],\n            [\n              -121.85704702669263,\n              37.47827412100111\n            ],\n            [\n              -121.95715532372319,\n              37.58448217735517\n            ],\n            [\n              -122.1411381398872,\n              37.68304493257469\n            ],\n            [\n              -122.40628984553588,\n              37.621994284187195\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://www.usgs.gov/mission-areas/water-resources/about/water-resources-mission-area-key-officials-and-organizational/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/mission-areas/water-resources/about/water-resources-mission-area-key-officials-and-organizational/\">Director</a>,<br><a href=\"https://www.usgs.gov/mission-areas/water-resources\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/mission-areas/water-resources\">Water Resources, Earth System Processes Division</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov\">U.S. Geological Survey</a><br>345 Middlefield Road<br>Menlo Park, California, 94025<br></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Background</li><li>Overview of Phase 1 Management Actions and Related Studies</li><li>Mercury Synthesis—Organizing Questions</li><li>Methods</li><li>Individual Study Results</li><li>Synthesis of the Independent Studies</li><li>Unanswered Questions and Future Directions</li><li>Conclusion</li><li>References Cited</li><li>Appendixes</li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2023-03-07","noUsgsAuthors":false,"publicationDate":"2023-03-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Marvin-DiPasquale, Mark 0000-0002-8186-9167 mmarvin@usgs.gov","orcid":"https://orcid.org/0000-0002-8186-9167","contributorId":149175,"corporation":false,"usgs":true,"family":"Marvin-DiPasquale","given":"Mark","email":"mmarvin@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - 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,{"id":70241018,"text":"sir20225117 - 2023 - Aquifer storage change, 2018–2021, in the Big Chino Subbasin, Yavapai County, Arizona","interactions":[],"lastModifiedDate":"2026-02-23T19:45:53.625745","indexId":"sir20225117","displayToPublicDate":"2023-03-07T09:46:21","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2022-5117","displayTitle":"Aquifer Storage Change, 2018–2021, in the Big Chino Subbasin, Yavapai County, Arizona","title":"Aquifer storage change, 2018–2021, in the Big Chino Subbasin, Yavapai County, Arizona","docAbstract":"<p>This report updates groundwater-storage and groundwater-level trends presented in U.S. Geological Survey (USGS) Scientific Investigations Report 2019–5060, in the Big Chino Subbasin, Yavapai County, Arizona. This earlier geophysical investigation of groundwater-storage change in the Big Chino Subbasin was conducted by the U.S. Geological Survey, in cooperation with the City of Prescott, the Town of Prescott Valley, and the Salt River Project from 2010 to 2017 to understand groundwater-level and groundwater-storage changes. Conclusions were based on precipitation, streamflow, groundwater level, and repeat microgravity data; the latter is a direct measurement of groundwater-storage change. This report focuses on the southern part of the Big Chino Subbasin for water years 2018–2021. These more recent data show relatively small changes in groundwater storage, consistent with the earlier monitoring presented in U.S. Geological Survey Scientific Investigations Report 2019–5060. In the Big Chino Water Ranch area, water levels have increased gradually owing to discontinued pumping for irrigation during summer months, and an in-channel recharge event in summer 2021. In the Paulden, Arizona, area, gradual water level declines have continued a downward trend that started in the 1990s. Seasonal variation is present in the Paulden area, with higher water levels in the winter months when pumping for irrigation and agricultural use is reduced. Two wells showed groundwater-level increases consistent with in-channel recharge in 2018 and 2021, whereas groundwater levels in a well screened in the deeper, confined to semi-confined carbonate aquifer showed no such discrete recharge events. In the area west of Big Chino Wash and east of the Juniper Mountains and Santa Maria Mountains, groundwater levels continued long-term declines, but storage changes were minimal.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20225117","collaboration":"Prepared in Cooperation with the City of Prescott, the Town of Prescott Valley, and Salt River Project","usgsCitation":"Kennedy, J.R., 2022, Aquifer storage change, 2018–2021, in the Big Chino Subbasin, Yavapai County, Arizona: U.S. Geological Survey Scientific Investigations Report 2022–5117, 16 p., https://doi.org/10.3133/sir20225117.","productDescription":"vii, 16 p.","numberOfPages":"16","onlineOnly":"Y","ipdsId":"IP-134054","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":500461,"rank":4,"type":{"id":36,"text":"NGMDB Index 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href=\"https://www.usgs.gov/centers/arizona-water-science-center/connect\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/arizona-water-science-center/connect\">Director</a>,<br><a href=\"https://www.usgs.gov/centers/az-water\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/az-water\">Arizona Water Science Center</a><br><a href=\"https://www.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/\">U.S. Geological Survey</a><br>520 N. Park Avenue<br>Tucson, AZ 85719</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Results</li><li>Summary and Conclusions</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2023-03-07","noUsgsAuthors":false,"publicationDate":"2023-03-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Kennedy, Jeffrey R. 0000-0002-3365-6589 jkennedy@usgs.gov","orcid":"https://orcid.org/0000-0002-3365-6589","contributorId":2172,"corporation":false,"usgs":true,"family":"Kennedy","given":"Jeffrey","email":"jkennedy@usgs.gov","middleInitial":"R.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":865746,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70250577,"text":"70250577 - 2023 - Preventing and controlling nonnative species invasions to bend the curve of global freshwater biodiversity loss","interactions":[],"lastModifiedDate":"2023-12-16T13:03:08.996996","indexId":"70250577","displayToPublicDate":"2023-03-07T06:59:14","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5056,"text":"Environmental Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Preventing and controlling nonnative species invasions to bend the curve of global freshwater biodiversity loss","docAbstract":"<div id=\"abstracts\" data-extent=\"frontmatter\"><div class=\"core-container\"><div>The Emergency Recovery Plan for freshwater biodiversity recognizes that addressing nonnative species is one of six principal actions needed to bend the curve in freshwater biodiversity loss. This is because introduction rates of nonnative species continue to accelerate globally and where these species develop invasive populations, they can have severe impacts on freshwater biodiversity. The most effective management measure to protect freshwater biodiversity is to prevent introductions of nonnative species. Should a nonnative species be introduced, however, then its early detection and the implementation of rapid reaction measures can avoid it establishing and dispersing. If these measures are unsuccessful and the species becomes invasive, then control and containment measures can minimize its further spread and impact. Minimizing further spread and impact includes control methods to reduce invader abundance and containment methods such as screening of invaded sites and strict biosecurity to avoid the invader dispersing to neighbouring basins. These management actions have benefitted from developments in invasion risk assessment that can prioritize species according to their invasion risk and, for species already invasive, ensure that management actions are commensurate with assessed risk. The successful management of freshwater nonnative species still requires the overcoming of some implementation challenges, including nonnative species often being a symptom of degraded habitats rather than the main driver of ecological change, and eradication methods often being nonspecies specific. Given the multiple anthropogenic stressors in freshwaters, nonnative species management must work with other restoration strategies if it is to deliver the Emergency Recovery Plan for freshwater biodiversity.</div></div></div>","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/er-2022-0103","usgsCitation":"Britton, J.R., Lynch, A., Bardal, H., Bradbeer, S.J., Coetzee, J.A., Coughlan, N.E., Dalu, T., Tricarico, E., Gallardo, B., Lintermans, M., Lucy, F., Liu, C., Olden, J., Raghavan, R., and Pritchard, E., 2023, Preventing and controlling nonnative species invasions to bend the curve of global freshwater biodiversity loss: Environmental Reviews, v. 31, no. 2, p. 310-326, https://doi.org/10.1139/er-2022-0103.","productDescription":"17 p.","startPage":"310","endPage":"326","ipdsId":"IP-145329","costCenters":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":444278,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1139/er-2022-0103","text":"Publisher Index Page"},{"id":423676,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Britton, J. 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,{"id":70241204,"text":"70241204 - 2023 - Linking seed size and number to trait syndromes in trees","interactions":[],"lastModifiedDate":"2023-04-12T14:29:50.050589","indexId":"70241204","displayToPublicDate":"2023-03-07T06:40:37","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1839,"text":"Global Ecology and Biogeography","active":true,"publicationSubtype":{"id":10}},"title":"Linking seed size and number to trait syndromes in trees","docAbstract":"<h3 id=\"geb13652-sec-0001-title\" class=\"article-section__sub-title section1\">Aim</h3><p>Our understanding of the mechanisms that maintain forest diversity under changing climate can benefit from knowledge about traits that are closely linked to fitness. We tested whether the link between traits and seed number and seed size is consistent with two hypotheses, termed the leaf economics spectrum and the plant size syndrome, or whether reproduction represents an independent dimension related to a seed size–seed number trade-off.</p><h3 id=\"geb13652-sec-0002-title\" class=\"article-section__sub-title section1\">Location</h3><p>Most of the data come from Europe, North and Central America and East Asia. A minority of the data come from South America, Africa and Australia.</p><h3 id=\"geb13652-sec-0003-title\" class=\"article-section__sub-title section1\">Time period</h3><p>1960–2022.</p><h3 id=\"geb13652-sec-0004-title\" class=\"article-section__sub-title section1\">Major taxa studied</h3><p>Trees.</p><h3 id=\"geb13652-sec-0005-title\" class=\"article-section__sub-title section1\">Methods</h3><p>We gathered 12 million observations of the number of seeds produced in 784 tree species. We estimated the number of seeds produced by individual trees and scaled it up to the species level. Next, we used principal components analysis and generalized joint attribute modelling (GJAM) to map seed number and size on the tree traits spectrum.</p><h3 id=\"geb13652-sec-0006-title\" class=\"article-section__sub-title section1\">Results</h3><p>Incorporating seed size and number into trait analysis while controlling for environment and phylogeny with GJAM exposes relationships in trees that might otherwise remain hidden. Production of the large total biomass of seeds [product of seed number and seed size; hereafter, species seed productivity (SSP)] is associated with high leaf area, low foliar nitrogen, low specific leaf area (SLA) and dense wood. Production of high seed numbers is associated with small seeds produced by nutrient-demanding species with softwood, small leaves and high SLA. Trait covariation is consistent with opposing strategies: one fast-growing, early successional, with high dispersal, and the other slow-growing, stress-tolerant, that recruit in shaded conditions.</p><h3 id=\"geb13652-sec-0007-title\" class=\"article-section__sub-title section1\">Main conclusions</h3><p>Earth system models currently assume that reproductive allocation is indifferent among plant functional types. Easily measurable seed size is a strong predictor of the seed number and species seed productivity. The connection of SSP with the functional traits can form the first basis of improved fecundity prediction across global forests.</p>","language":"English","publisher":"Wiley","doi":"10.1111/geb.13652","usgsCitation":"Bogdziewicz, M., Acuña, M., Andrus, R.A., Ascoli, D., Bergeron, Y., Brveiller, D., Boivin, T., Bonal, R., Caignard, T., Cailleret, M., Calama, R., Calderon, S.D., Camarero, J., Chang-Yang, C., Chave, J., Chianucci, F., Cleavitt, N.L., Courbaud, B., Cutini, A., Curt, T., Das, A., Davi, H., Delpiere, N., Delzon, S., Dietze, M., Dormont, L., Farfan-Rios, W., Gehring, C.A., Gilbert, G.S., Gratzer, G., Greenberg, C.H., Guignabert, A., Guo, Q., Hacket-Pain, A., Hampe, A., Han, Q., Hoshizaki, K., Ibanez, I., Johnstone, J.F., Journe, V., Kitzberger, T., Knops, J., Kunstler, G., Kobe, R., Lageard, J.G., LaMontagne, J., Ledwon, M., Leininger, T., Limousin, J., Lutz, J.A., Macias, D., Marell, A., McIntire, E.J., Moran, E.V., Motta, R., Myers, J.A., Nagel, T.A., Naoe, S., Noguchi, K., Oguro, M., Kurokawa, H., Ourcival, J., Parmenter, R., Perez-Ramos, I., Piechnik, L., Podgorski, T., Poulsen, J., Qiu, T., Redmond, M.D., Reid, C., Rodman, K., Šamonil, P., Holik, J., Scher, C.L., Van Marle, H.S., Seget, B., Shibata, M., Sharma, S., Silman, M., Steele, M.A., Straub, J.N., Sun, I., Sutton, S., Swenson, J., Thomas, P., Uriarte, M., Vacchiano, G., Veblen, T.T., Wright, B., Wright, S.J., Whitham, T.G., Zhu, K., Zimmerman, J.K., Zywiec, M., and Clark, J.S., 2023, Linking seed size and number to trait syndromes in trees: Global Ecology and Biogeography, v. 32, no. 5, p. 683-694, https://doi.org/10.1111/geb.13652.","productDescription":"12 p.","startPage":"683","endPage":"694","ipdsId":"IP-149887","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":444282,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hal.inrae.fr/hal-04032674","text":"External 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,{"id":70241001,"text":"ofr20231013 - 2023 - ECCOE Landsat quarterly Calibration and Validation report—Quarter 3, 2022","interactions":[],"lastModifiedDate":"2023-03-06T19:07:27.113555","indexId":"ofr20231013","displayToPublicDate":"2023-03-06T13:07:01","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-1013","displayTitle":"ECCOE Landsat Quarterly Calibration and Validation Report—Quarter 3, 2022","title":"ECCOE Landsat quarterly Calibration and Validation report—Quarter 3, 2022","docAbstract":"<h1>Executive Summary</h1><p>The U.S. Geological Survey Earth Resources Observation and Science Calibration and Validation (Cal/Val) Center of Excellence (ECCOE) focuses on improving the accuracy, precision, calibration, and product quality of remote-sensing data, leveraging years of multiscale optical system geometric and radiometric calibration and characterization experience. The ECCOE Landsat Cal/Val Team continually monitors the geometric and radiometric performance of active Landsat missions and makes calibration adjustments, as needed, to maintain data quality at the highest level.</p><p>This report provides observed geometric and radiometric analysis results for Landsats 7–8 for quarter 3 (July–September) of 2022. All data used to compile the Cal/Val analysis results presented in this report are freely available from the U.S. Geological Survey EarthExplorer website: <a href=\"https://earthexplorer.usgs.gov\" data-mce-href=\"https://earthexplorer.usgs.gov\">https://earthexplorer.usgs.gov</a>.</p><p>One specific activity that the ECCOE Landsat Cal/Val Team closely monitored was the lowering of the Landsat 7 orbit. On April 6, 2022, the Landsat 7 Enhanced Thematic Mapper Plus (ETM+) sensor was placed into standby mode, and a series of spacecraft burns was completed through the month of April to lower the satellite’s orbit by 8 kilometers. Imaging resumed at a lower orbit of 697 kilometers on May 5, 2022, extending the science mission to allow for essential data acquisition during the 2022 Northern Hemisphere fire and growing season. 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Shrestha, A., Tuli, F.T., Shaw, J.L., Denevan, A., Franks, S.,\nMicijevic, E., Choate, M.J., Anderson, C., Thome, K., Kaita, E., Barsi, J., Levy, R., and Miller, J., 2023, ECCOE Landsat\nquarterly Calibration and Validation report—Quarter 3, 2022: U.S. Geological Survey Open-File Report 2023–1013, 38 p., https://doi.org/10.3133/ofr20231013.","productDescription":"Report: vii, 38 p.; Dataset","numberOfPages":"50","onlineOnly":"Y","ipdsId":"IP-146519","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":413661,"rank":3,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2023/1013/images"},{"id":413659,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2023/1013/coverthb.jpg"},{"id":413663,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2023/1013/ofr20231013.XML","text":"Report","linkFileType":{"id":8,"text":"xml"},"description":"OFR 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rrengarajan@contractor.usgs.gov","orcid":"https://orcid.org/0000-0003-1860-7110","contributorId":192376,"corporation":false,"usgs":true,"family":"Rengarajan","given":"Rajagopalan","email":"rrengarajan@contractor.usgs.gov","affiliations":[{"id":40546,"text":"KBR, Contractor to the USGS Earth Resources Observation and Science (EROS) Center","active":true,"usgs":false}],"preferred":true,"id":865667,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lubke, Mark 0000-0002-7257-2337","orcid":"https://orcid.org/0000-0002-7257-2337","contributorId":261911,"corporation":false,"usgs":false,"family":"Lubke","given":"Mark","email":"","affiliations":[{"id":53079,"text":"KBR, contractor to U.S. Geological Survey","active":true,"usgs":false}],"preferred":false,"id":865668,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hasan, Nahid 0000-0002-0463-601X","orcid":"https://orcid.org/0000-0002-0463-601X","contributorId":292342,"corporation":false,"usgs":false,"family":"Hasan","given":"Nahid","email":"","affiliations":[{"id":40546,"text":"KBR, Contractor to the USGS Earth Resources Observation and Science (EROS) Center","active":true,"usgs":false}],"preferred":false,"id":865669,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shrestha, Ashish 0000-0002-9407-5462","orcid":"https://orcid.org/0000-0002-9407-5462","contributorId":298063,"corporation":false,"usgs":false,"family":"Shrestha","given":"Ashish","email":"","affiliations":[{"id":40546,"text":"KBR, Contractor to the USGS Earth Resources Observation and Science (EROS) Center","active":true,"usgs":false}],"preferred":false,"id":865670,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tuz Zafrin Tuli, Fatima 0000-0002-5225-8797","orcid":"https://orcid.org/0000-0002-5225-8797","contributorId":270395,"corporation":false,"usgs":false,"family":"Tuz Zafrin Tuli","given":"Fatima","email":"","affiliations":[{"id":40546,"text":"KBR, Contractor to the USGS Earth Resources Observation and Science (EROS) Center","active":true,"usgs":false}],"preferred":false,"id":865671,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Shaw, Jerad L. 0000-0002-8319-2778","orcid":"https://orcid.org/0000-0002-8319-2778","contributorId":270396,"corporation":false,"usgs":false,"family":"Shaw","given":"Jerad L.","affiliations":[{"id":40546,"text":"KBR, Contractor to the USGS Earth Resources Observation and Science (EROS) Center","active":true,"usgs":false}],"preferred":false,"id":865672,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Denevan, Alex 0000-0002-1215-3261","orcid":"https://orcid.org/0000-0002-1215-3261","contributorId":270398,"corporation":false,"usgs":false,"family":"Denevan","given":"Alex","email":"","affiliations":[{"id":40546,"text":"KBR, Contractor to the USGS Earth Resources Observation and Science (EROS) Center","active":true,"usgs":false}],"preferred":false,"id":865673,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Franks, Shannon 0000-0003-1335-5401","orcid":"https://orcid.org/0000-0003-1335-5401","contributorId":245457,"corporation":false,"usgs":false,"family":"Franks","given":"Shannon","email":"","affiliations":[{"id":49197,"text":"KBR, Contractor to NASA Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":865674,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Micijevic, Esad 0000-0002-3828-9239 emicijevic@usgs.gov","orcid":"https://orcid.org/0000-0002-3828-9239","contributorId":3075,"corporation":false,"usgs":true,"family":"Micijevic","given":"Esad","email":"emicijevic@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":865675,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Choate, Mike 0000-0002-8101-4994 choate@usgs.gov","orcid":"https://orcid.org/0000-0002-8101-4994","contributorId":4618,"corporation":false,"usgs":true,"family":"Choate","given":"Mike","email":"choate@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":865676,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Anderson, Cody 0000-0001-5612-1889 chanderson@usgs.gov","orcid":"https://orcid.org/0000-0001-5612-1889","contributorId":195521,"corporation":false,"usgs":true,"family":"Anderson","given":"Cody","email":"chanderson@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":865677,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Thome, Kurt","contributorId":140792,"corporation":false,"usgs":false,"family":"Thome","given":"Kurt","email":"","affiliations":[{"id":7049,"text":"NASA Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":865678,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Kaita, Ed","contributorId":251782,"corporation":false,"usgs":false,"family":"Kaita","given":"Ed","email":"","affiliations":[{"id":50397,"text":"SSAI","active":true,"usgs":false}],"preferred":false,"id":865679,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Barsi, Julia","contributorId":251781,"corporation":false,"usgs":false,"family":"Barsi","given":"Julia","email":"","affiliations":[{"id":50397,"text":"SSAI","active":true,"usgs":false}],"preferred":false,"id":865680,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Levy, Raviv","contributorId":131008,"corporation":false,"usgs":false,"family":"Levy","given":"Raviv","email":"","affiliations":[{"id":7209,"text":"SSAI / NASA / GSFC","active":true,"usgs":false}],"preferred":false,"id":865681,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Miller, Jeff","contributorId":46400,"corporation":false,"usgs":true,"family":"Miller","given":"Jeff","affiliations":[{"id":50397,"text":"SSAI","active":true,"usgs":false}],"preferred":false,"id":865682,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}}
,{"id":70243327,"text":"70243327 - 2023 - Hydrologic modeling and river corridor applications of HY_Features concepts","interactions":[],"lastModifiedDate":"2023-05-09T13:35:13.643633","indexId":"70243327","displayToPublicDate":"2023-03-06T08:26:24","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"seriesTitle":{"id":14271,"text":"OGC Public Engineering Report","active":true,"publicationSubtype":{"id":3}},"title":"Hydrologic modeling and river corridor applications of HY_Features concepts","docAbstract":"<div class=\"paragraph\"><p>The WaterML2: Part 3 - Surface Hydrology Features (HY_Features) Conceptual Model was published by OGC in 2018. This report documents the use of HY_Features concepts in support of two key tasks: (1) local to continental hydrologic modeling; and (2) referencing river corridor data to hydrographic networks. The presented use cases are applicable in hydroscience research and assessments, water resources engineering practices, and drought and flood responses.</p></div><div class=\"paragraph\"><p>Before the HY_Features conceptual model there was no internationally recognized standard for the design of software and data for the hydroscience and engineering community. This report presents progress towards a logical data model that interprets the abstract HY_Features concepts for use in geospatial workflows, modeling applications, and web data systems that integrate hydrologic data.</p></div><div class=\"paragraph\"><p>The use cases addressed include: (1) hydrologic model control volume definition; (2) hydrologic network connectivity; (3) characterization of catchments with landscape and atmospheric data; (4) river corridor characterization; (5) hydrologic location; and (6) flow network location. Each use case is described briefly along with an analysis of the information requirements. This report presents a summary of the logical model designed to satisfy the needs of these use cases and a summary of updates and changes proposed for HY_Features.</p></div><div class=\"paragraph\"><p>Changes for consideration by the HY_Features Standards Working Group include the following.</p></div><div class=\"olist arabic\"><ol class=\"arabic\"><li><p>Provide more clarity on the inherited properties and associations of features that \"realize\" the catchment and nexus concepts from HY_Features.</p></li><li><p>Add nexus realization feature types to represent the outlet of catchments that are \"frontal\" (terminate to the ocean or a large waterbody) or \"inland sinks.\"</p></li><li><p>Add a \"HY_Flowline\" feature as a superclass of HY_Flowpath providing linear referencing on waterbodies that are not catchment realizations.</p></li><li><p>Add an association or interface to support connection between surface catchments and hydrogeologic units.</p></li></ol></div>","language":"English","publisher":"Open Geospatial Consortium","usgsCitation":"Blodgett, D.L., Johnson, J., Bock, A.R., LeRoy, J.Z., and Wernimont, M.R., 2023, Hydrologic modeling and river corridor applications of HY_Features concepts: OGC Public Engineering Report, HTML Document.","productDescription":"HTML Document","ipdsId":"IP-145176","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":416858,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":416834,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.opengis.net/doc/PER/Hydrofabric-er"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Blodgett, David L. 0000-0001-9489-1710 dblodgett@usgs.gov","orcid":"https://orcid.org/0000-0001-9489-1710","contributorId":3868,"corporation":false,"usgs":true,"family":"Blodgett","given":"David","email":"dblodgett@usgs.gov","middleInitial":"L.","affiliations":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":872050,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, J. Michael","contributorId":304963,"corporation":false,"usgs":false,"family":"Johnson","given":"J. Michael","affiliations":[{"id":66193,"text":"NOAA-NWS-OWP","active":true,"usgs":false}],"preferred":false,"id":872051,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bock, Andrew R. 0000-0001-7222-6613 abock@usgs.gov","orcid":"https://orcid.org/0000-0001-7222-6613","contributorId":4580,"corporation":false,"usgs":true,"family":"Bock","given":"Andrew","email":"abock@usgs.gov","middleInitial":"R.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":872053,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"LeRoy, Jessica Z. 0000-0003-4035-6872 jzinger@usgs.gov","orcid":"https://orcid.org/0000-0003-4035-6872","contributorId":174534,"corporation":false,"usgs":true,"family":"LeRoy","given":"Jessica","email":"jzinger@usgs.gov","middleInitial":"Z.","affiliations":[{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":true,"id":872052,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wernimont, Martin R 0000-0002-2127-8568 mwernimont@usgs.gov","orcid":"https://orcid.org/0000-0002-2127-8568","contributorId":5662,"corporation":false,"usgs":true,"family":"Wernimont","given":"Martin","email":"mwernimont@usgs.gov","middleInitial":"R","affiliations":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true},{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true}],"preferred":true,"id":872054,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70241037,"text":"70241037 - 2023 - Symbiotic nitrogen fixation does not stimulate soil phosphatase activity under temperate and tropical trees","interactions":[],"lastModifiedDate":"2023-03-31T15:20:23.406346","indexId":"70241037","displayToPublicDate":"2023-03-06T07:06:31","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2932,"text":"Oecologia","active":true,"publicationSubtype":{"id":10}},"title":"Symbiotic nitrogen fixation does not stimulate soil phosphatase activity under temperate and tropical trees","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section c-article-content-visibility\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>Symbiotic nitrogen (N)-fixing plants can enrich ecosystems with N, which can alter the cycling and demand for other nutrients. Researchers have hypothesized that fixed N could be used by plants and soil microbes to produce extracellular phosphatase enzymes, which release P from organic matter. Consistent with this speculation, the presence of N-fixing plants is often associated with high phosphatase activity, either in the soil or on root surfaces, although other studies have not found this association, and the connection between phosphatase and rates of N fixation—the mechanistic part of the argument—is tenuous. Here, we measured soil phosphatase activity under N-fixing trees and non-fixing trees transplanted and grown in tropical and temperate sites in the USA: two sites in Hawaii, and one each in New York and Oregon. This provides a rare example of phosphatase activity measured in a multi-site field experiment with rigorously quantified rates of N fixation. We found no difference in soil phosphatase activity under N-fixing vs. non-fixing trees nor across rates of N fixation, though we note that no sites were P limited and only one was N limited. Our results add to the literature showing no connection between N fixation rates and phosphatase activity.</p></div></div>","language":"English","publisher":"Springer","doi":"10.1007/s00442-023-05339-4","usgsCitation":"Jager, E., Quebbeman, A., Wolf, A.A., Perakis, S.S., Funk, J.L., and Menge, D., 2023, Symbiotic nitrogen fixation does not stimulate soil phosphatase activity under temperate and tropical trees: Oecologia, v. 201, p. 827-840, https://doi.org/10.1007/s00442-023-05339-4.","productDescription":"14 p.","startPage":"827","endPage":"840","ipdsId":"IP-142220","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":502663,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"text":"External Repository"},{"id":413761,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"201","noUsgsAuthors":false,"publicationDate":"2023-03-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Jager, Emily","contributorId":302904,"corporation":false,"usgs":false,"family":"Jager","given":"Emily","email":"","affiliations":[{"id":65577,"text":"Columbia Univ","active":true,"usgs":false}],"preferred":false,"id":865788,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Quebbeman, Andrew","contributorId":302905,"corporation":false,"usgs":false,"family":"Quebbeman","given":"Andrew","email":"","affiliations":[{"id":52786,"text":"Columbia U","active":true,"usgs":false}],"preferred":false,"id":865789,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wolf, Amelia A.","contributorId":190685,"corporation":false,"usgs":false,"family":"Wolf","given":"Amelia","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":865790,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Perakis, Steven S. 0000-0003-0703-9314 sperakis@usgs.gov","orcid":"https://orcid.org/0000-0003-0703-9314","contributorId":145528,"corporation":false,"usgs":true,"family":"Perakis","given":"Steven","email":"sperakis@usgs.gov","middleInitial":"S.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":865791,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Funk, Jennifer L.","contributorId":260668,"corporation":false,"usgs":false,"family":"Funk","given":"Jennifer","email":"","middleInitial":"L.","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":865792,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Menge, Duncan N.L.","contributorId":302906,"corporation":false,"usgs":false,"family":"Menge","given":"Duncan N.L.","affiliations":[{"id":52786,"text":"Columbia U","active":true,"usgs":false}],"preferred":false,"id":865793,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70242609,"text":"70242609 - 2023 - Lake Ontario’s nearshore zooplankton: Community composition changes and comparisons to the offshore","interactions":[],"lastModifiedDate":"2023-05-25T15:58:11.61157","indexId":"70242609","displayToPublicDate":"2023-03-06T06:48:31","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Lake Ontario’s nearshore zooplankton: Community composition changes and comparisons to the offshore","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-gulliver text-s\"><div id=\"ab005\" class=\"abstract author\"><div id=\"as005\"><p id=\"sp0005\"><span>In large lake systems the nearshore habitat is an intermediate zone between the shoreline and offshore, is an important nursery for larval fish, and is highlighted as an area in need of research in the Laurentian Great Lakes. In this study, we used two long-term monitoring programs to characterize the nearshore zooplankton community composition using seasonal data (May – October) and to compare the nearshore and offshore zooplankton community composition changes over time (1998 – 2019) to determine if the changes were synchronized. In the nearshore, we found the highest zooplankton biomass during the late summer/early fall (August 27th – Oct 6th), compared to mid-summer (July 1st – Aug 26th) and late spring (May 20th – June 30th). In the summer, the nearshore zooplankton community was dominated by&nbsp;cladocerans&nbsp;while copepods dominated the offshore community. From 1998 to 2019, both nearshore and offshore copepods shifted from a cyclopoid to a calanoid-dominated state, but the details of this change were different. For example, taxon-specific analysis revealed that despite reduced cyclopoids in both habitats,&nbsp;</span><i>Mesocyclops edax</i><span>&nbsp;</span>increased in the nearshore. Additionally, taxon-specific analysis suggested the changes occurred an average of three years earlier in the nearshore. Using Analysis of Similarity, the nearshore and offshore summer zooplankton community compositions became increasingly distinct over time. Results from this study highlight the uniqueness of the nearshore in large lake systems, the importance of seasonal and long-term monitoring, and the potential of the nearshore as an early indicator of offshore changes.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2023.02.013","usgsCitation":"Figary, S., Holeck, K.T., Hotaling, C., Watkins, J.M., Lantry, J., Connerton, M., Prindle, S., Biesinger, Z., O’Malley, B., and Rudstam, L., 2023, Lake Ontario’s nearshore zooplankton: Community composition changes and comparisons to the offshore: Journal of Great Lakes Research, v. 49, no. 3, p. 698-712, https://doi.org/10.1016/j.jglr.2023.02.013.","productDescription":"15 p.","startPage":"698","endPage":"712","ipdsId":"IP-146383","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":415563,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Lake Ontario","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -80.45616939042115,\n              43.12753272919747\n            ],\n            [\n              -75.84389559375711,\n              43.12753272919747\n            ],\n            [\n              -75.84389559375711,\n              44.490522088953014\n            ],\n            [\n              -80.45616939042115,\n              44.490522088953014\n            ],\n            [\n              -80.45616939042115,\n              43.12753272919747\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"49","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Figary, Stephanie","contributorId":304057,"corporation":false,"usgs":false,"family":"Figary","given":"Stephanie","email":"","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":869099,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holeck, Kristen T.","contributorId":105549,"corporation":false,"usgs":false,"family":"Holeck","given":"Kristen","email":"","middleInitial":"T.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":869100,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hotaling, Christopher","contributorId":197987,"corporation":false,"usgs":false,"family":"Hotaling","given":"Christopher","email":"","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":869101,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Watkins, James M.","contributorId":189286,"corporation":false,"usgs":false,"family":"Watkins","given":"James","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":869102,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lantry, Jana","contributorId":141102,"corporation":false,"usgs":false,"family":"Lantry","given":"Jana","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":869103,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Connerton, Mike","contributorId":214585,"corporation":false,"usgs":false,"family":"Connerton","given":"Mike","affiliations":[{"id":39079,"text":"NYSDEC","active":true,"usgs":false}],"preferred":false,"id":869104,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Prindle, Scott","contributorId":302061,"corporation":false,"usgs":false,"family":"Prindle","given":"Scott","email":"","affiliations":[{"id":35578,"text":"NY Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":869105,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Biesinger, Zy","contributorId":197993,"corporation":false,"usgs":false,"family":"Biesinger","given":"Zy","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":869106,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"O’Malley, Brian 0000-0001-5035-3080 bomalley@usgs.gov","orcid":"https://orcid.org/0000-0001-5035-3080","contributorId":216560,"corporation":false,"usgs":true,"family":"O’Malley","given":"Brian","email":"bomalley@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":869107,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Rudstam, Lars G.","contributorId":275304,"corporation":false,"usgs":false,"family":"Rudstam","given":"Lars G.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":869108,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70263071,"text":"70263071 - 2023 - Estimating elk abundance using the Lincoln-Petersen method","interactions":[],"lastModifiedDate":"2025-01-29T15:41:11.162998","indexId":"70263071","displayToPublicDate":"2023-03-06T00:00:00","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3909,"text":"Journal of the Southeastern Association of Fish and Wildlife Agencies","active":true,"publicationSubtype":{"id":10}},"title":"Estimating elk abundance using the Lincoln-Petersen method","docAbstract":"<p><span>Achieving a target population size is often the first goal of species restorations. From 2012 to 2014, the Virginia Department of Wildlife Resources released 75 elk (</span><i>Cervus</i><i><span>&nbsp;</span></i><i>canadensis</i><span>) originating from Kentucky into Buchanan County in southwestern Virginia. These individuals were ear tagged with unique numbers upon release with an additional 33 elk tagged within the Virginia Elk Management Zone (VEMZ) from 2019 through early 2022. To assess post-release population size, we conducted visual driving surveys throughout Buchanan County from January through mid-April, 2021 and January through March, 2022, counting elk and noting sex, age class, and tagged individuals when observed. We conducted four surveys annually, each consisting of pooled elk counts from eight driving routes, and calculated a Lincoln-Petersen population estimate with Chapman’s bias correction for each survey, then averaged estimates for each year. The population estimate in Buchanan County was 250 (95% CI: 100–400) elk in 2021 and 303 (155–452) in 2022. Our elk population estimates indicate Virginia is on the trajectory of meeting the first goal in their 2019–2028 elk management plan of achieving a viable elk population.</span></p>","language":"English","publisher":"Southeastern Association of Fish and Wildlife Agencies","usgsCitation":"Quinlan, B., Rosenberger, J., Kalb, D., Thorne, E., Ford, W., and Cherry, M., 2023, Estimating elk abundance using the Lincoln-Petersen method: Journal of the Southeastern Association of Fish and Wildlife Agencies, v. 10, p. 135-141.","productDescription":"7 p.","startPage":"135","endPage":"141","ipdsId":"IP-142589","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":481453,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://seafwa.org/journal/2023/estimating-elk-abundance-using-lincoln-petersen-method","linkFileType":{"id":5,"text":"html"}},{"id":481454,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","county":"Buchanan County, Dickenson County, Wise County","otherGeospatial":"southwestern 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D.","contributorId":350153,"corporation":false,"usgs":false,"family":"Thorne","given":"Emily D.","affiliations":[{"id":25550,"text":"Virginia Polytechnic Institute and State University","active":true,"usgs":false}],"preferred":false,"id":925449,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ford, W. Mark 0000-0002-9611-594X wford@usgs.gov","orcid":"https://orcid.org/0000-0002-9611-594X","contributorId":172499,"corporation":false,"usgs":true,"family":"Ford","given":"W. Mark","email":"wford@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":925450,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cherry, Michael J.","contributorId":350156,"corporation":false,"usgs":false,"family":"Cherry","given":"Michael J.","affiliations":[{"id":13724,"text":"Texas A&M University-Kingsville","active":true,"usgs":false}],"preferred":false,"id":925451,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70241083,"text":"70241083 - 2023 - Sandstone-hosted uranium deposits of the Colorado Plateau, USA","interactions":[],"lastModifiedDate":"2023-03-09T15:22:46.63418","indexId":"70241083","displayToPublicDate":"2023-03-05T09:18:38","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2954,"text":"Ore Geology Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Sandstone-hosted uranium deposits of the Colorado Plateau, USA","docAbstract":"<p><span>More than 4,000 sandstone-hosted uranium occurrences host over 1.2 billion pounds of mined and in situ U</span><sub>3</sub><span>O</span><sub>8</sub><span>&nbsp;throughout the Colorado Plateau. Most of the resources are in two distinct mineral systems with deposits hosted in the Triassic Chinle and Jurassic Morrison Formations. In the Chinle mineral system, base metal sulfides typically accompany mineralization. The Morrison mineral system is characterized by V/U ratios up to 20. The uranium source was likely volcanic ash preserved as bentonitic mudstones in the Brushy Basin Member of the Morrison Formation, and lithic volcanic clasts, ash shards, and bentonitic clay in the lower part of the Chinle Formation. Vanadium originated from two possible sources: iron–titanium oxides that are extensively altered in bleached rock near deposits or from similar minerals in variably bleached red beds interbedded with and beneath the Morrison. In Chinle-hosted deposits, in addition to volcanic ash, a contributing source of both vanadium and uranium is proposed here for the first time to be underlying red beds in the Moenkopi and Cutler Formations that have undergone a cycle of reddening-bleaching-reoxidation. Transport in both systems was likely in groundwater through the more permeable sandstones and conglomerate units. The association of uranium minerals with carbonate and more rarely apatite, suggests that transport of uranium was as a carbonate or phosphate complex. The first comprehensive examination of paleoclimate, paleotopography, and subsurface structure of aquifers coupled with analysis of the geochronology of deposits suggests that that there were distinct pulses of uranium mineralization/redistribution during the period from about 259&nbsp;Ma to 12&nbsp;Ma when oxidized mineralizing fluids were intermittently rejuvenated in the Plateau in response to changes in tectonic regime and climate. Multiple lines of evidence indicate that deposits formed at ambient temperatures of about 25&nbsp;°C to no greater than about 140&nbsp;°C. In both systems, deposits formed where groundwater flow slowed and was subject to evaporative concentration. Stagnant conditions allowed for prolonged interaction of U- and V-enriched groundwater with ferrous iron-bearing reductants, such as illite and iron–titanium oxides, and more rarely organic material such as plant debris. Paragenetically late in the sequence, reducing fluids introduced additional organic matter to some deposits. Reducing fluids and introduced organic matter (now amorphous and altered by radiolysis) may originate from regional petroleum systems where peak oil and gas generation was from&nbsp;∼&nbsp;82 to&nbsp;∼&nbsp;5&nbsp;Ma. Our novel analysis indicates that these reducing fluids bleached rock and protected affected deposits from remobilization during exposure and weathering that followed uplift of the Plateau (∼80 to 40&nbsp;Ma).</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.oregeorev.2023.105353","usgsCitation":"Hall, S.M., Van Gosen, B.S., and Zielinski, R.A., 2023, Sandstone-hosted uranium deposits of the Colorado Plateau, USA: Ore Geology Reviews, v. 155, 105353, 39 p., https://doi.org/10.1016/j.oregeorev.2023.105353.","productDescription":"105353, 39 p.","ipdsId":"IP-144225","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":444288,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.oregeorev.2023.105353","text":"Publisher Index Page"},{"id":413910,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Colorado, Nevada, New Mexico, Utah","otherGeospatial":"Colorado Plateau","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -115.38758014302569,\n              36.37374218849541\n            ],\n            [\n              -110.86136616701783,\n              33.44612985784673\n            ],\n            [\n              -108.60999805357987,\n              33.12799232363494\n            ],\n            [\n              -106.76457950194857,\n              35.188621252945836\n            ],\n            [\n              -106.23603458062884,\n              36.207350720051465\n            ],\n            [\n              -106.4452489843144,\n              37.02964962080101\n            ],\n            [\n              -107.90400181246243,\n              38.27334485012568\n            ],\n            [\n              -107.73249538404234,\n              39.83440439611374\n            ],\n            [\n              -107.35347848557593,\n              40.63177179900808\n            ],\n            [\n              -111.44047410393146,\n              40.54853202540002\n            ],\n            [\n              -112.77503905211425,\n              38.858889541104304\n            ],\n            [\n              -113.34398079268153,\n              37.74568602112339\n            ],\n            [\n              -115.31695817751428,\n              37.35592303100273\n            ],\n            [\n              -115.38758014302569,\n              36.37374218849541\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"155","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hall, Susan M. 0000-0002-0931-8694","orcid":"https://orcid.org/0000-0002-0931-8694","contributorId":302940,"corporation":false,"usgs":true,"family":"Hall","given":"Susan","email":"","middleInitial":"M.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":865979,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Van Gosen, Bradley S. 0000-0003-4214-3811 bvangose@usgs.gov","orcid":"https://orcid.org/0000-0003-4214-3811","contributorId":1174,"corporation":false,"usgs":true,"family":"Van Gosen","given":"Bradley","email":"bvangose@usgs.gov","middleInitial":"S.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":865980,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zielinski, Robert A. 0000-0002-4047-5129 rzielinski@usgs.gov","orcid":"https://orcid.org/0000-0002-4047-5129","contributorId":1593,"corporation":false,"usgs":true,"family":"Zielinski","given":"Robert","email":"rzielinski@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":865981,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70241096,"text":"70241096 - 2023 - Laboratory studies of potential competition for food and substrate among early juvenile Missouri River sturgeon and sympatric chub species","interactions":[],"lastModifiedDate":"2023-11-07T14:57:51.313799","indexId":"70241096","displayToPublicDate":"2023-03-05T09:15:38","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Laboratory studies of potential competition for food and substrate among early juvenile Missouri River sturgeon and sympatric chub species","docAbstract":"<p><span>Juvenile Pallid Sturgeon&nbsp;</span><i>Scaphirhynchus albus</i><span>&nbsp;predominantly consume midges (family Chironomidae) and other macroinvertebrates, while Shovelnose Sturgeon&nbsp;</span><i>S. platorynchus</i><span>, Sicklefin Chub&nbsp;</span><i>Macrhybopsis meeki</i><span>, and Shoal Chub&nbsp;</span><i>M. hyostoma</i><span>&nbsp;feed on those same macroinvertebrates throughout life. The primary objective of this study was to assess the substrate component of habitat selection, specifically selection between sand and mud substrates, as it relates to food availability and quantity relative to presence or absence of a photoperiod (i.e., lack of light). The study was designed to assess the strength of the innate linkage of substrate and availability of food in foraging by early juvenile Pallid Sturgeon, early juvenile Shovelnose Sturgeon, their juvenile hybrids, and adult Sicklefin Chub and Shoal Chub. The ultimate goal of the study was to develop a better understanding of potential competition for resources among these five fish groups. Twenty-four individually isolated aquaria were used to test behavior during a 12 h light : 12 h dark cycle versus continuous darkness. Presence or absence of a photoperiod was combined with feeding levels of maximum ration (</span><i>C</i><sub>max</sub><span>) versus half&nbsp;</span><i>C</i><sub>max</sub><span>&nbsp;ration and the substrate to which food was delivered. Four-way ANOVA among all five groups and separate ANOVAs for sturgeon and chub groups that included fish group as a factor indicated a selection (i.e., proportion of time over substrate &gt;0.5 given only two substrates equally available) for the substrate to which food was delivered, as expected. However, selection of mud was significantly greater for early juvenile Pallid Sturgeon compared with other fish groups except early juvenile Shovelnose Sturgeon. Neither&nbsp;feeding level nor presence or absence of a photoperiod significantly affected substrate selection. In individual fish group three-way ANOVAs, Sicklefin Chub did not select a substrate significantly more when food was delivered to the substrate. Shoal Chub selected mud more frequently under continuous darkness. All three sturgeon groups showed a significant increase in weight over time. Only Shovelnose Sturgeon and Sicklefin Chub final weight were significantly greater under&nbsp;</span><i>C</i><sub>max</sub><span>&nbsp;compared to half&nbsp;</span><i>C</i><sub>max</sub><span>. Additionally, early juvenile Pallid Sturgeon, early juvenile Shovelnose Sturgeon, and hybrid sturgeon groups had a greater increase in weight over the study under&nbsp;</span><i>C</i><sub>max</sub><span>&nbsp;than half&nbsp;</span><i>C</i><sub>max</sub><span>. While caution should always be used when extrapolating results from fine-scaled, controlled laboratory studies to large, complex river systems, the results from this study support the hypothesis of the potential for competition in the lower Missouri River among the studied fish groups.</span></p>","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.10824","usgsCitation":"Wildhaber, M.L., and Albers, J., 2023, Laboratory studies of potential competition for food and substrate among early juvenile Missouri River sturgeon and sympatric chub species: North American Journal of Fisheries Management, v. 43, no. 5, p. 1190-1204, https://doi.org/10.1002/nafm.10824.","productDescription":"16 p.","startPage":"1190","endPage":"1204","ipdsId":"IP-136566","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":498013,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/nafm.10824","text":"Publisher Index Page"},{"id":435422,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9AZK1HS","text":"USGS data release","linkHelpText":"Missouri River juvenile sturgeon and adult chub fish weight and behavior"},{"id":413909,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","issue":"5","noUsgsAuthors":false,"publicationDate":"2023-03-05","publicationStatus":"PW","contributors":{"authors":[{"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":866022,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Albers, Janice L.","contributorId":301919,"corporation":false,"usgs":false,"family":"Albers","given":"Janice L.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":866023,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70248364,"text":"70248364 - 2023 - Unrecorded tundra fires of the Arctic Slope, Alaska USA","interactions":[],"lastModifiedDate":"2023-09-08T12:15:14.635728","indexId":"70248364","displayToPublicDate":"2023-03-05T07:11:11","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5678,"text":"Fire","active":true,"publicationSubtype":{"id":10}},"title":"Unrecorded tundra fires of the Arctic Slope, Alaska USA","docAbstract":"<div class=\"html-p\">Few fires are known to have burned the tundra of the Arctic Slope north of the Brooks Range in Alaska, USA. A total of 90 fires between 1969 and 2022 are known. Because fire has been rare, old burns can be detected by the traces of thermokarst and distinct vegetation they leave in otherwise uniform tundra, which are visible in aerial photograph archives. Several prehistoric tundra burns have been found in this way. Detection of tundra fires in this sparsely populated and remote area has been historically inconsistent and opportunistic, relying on reports by aircraft pilots. Fire reports have been logged into an administrative database which, out of necessity, has been used to scientifically evaluate changes in the fire regime. To improve the consistency of the record, we completed a systematic search of Landsat Collection 2 for the Brooks Range Foothills ecoregion over the period 1972–2022. We found 57 unrecorded tundra burns, about 41% of the total, which now numbers 138. Only 15% and 33% of all fires appear in MODIS and VIIRS satellite-borne thermal anomaly products, respectively. The fire frequency in the first 37 years of the record is 0.89 y<sup>−1</sup><span>&nbsp;</span>for natural ignitions that spread ≥10 ha. Frequency in the last 13 years is 2.5 y<sup>−1</sup>, indicating a nearly three-fold increase in fire frequency.</div><div id=\"html-keywords\"><br></div>","language":"English","publisher":"MDPI","doi":"10.3390/fire6030101","usgsCitation":"Miller, E.A., Jones, B., Baughman, C., Jandt, R.R., Jenkins, J.L., and Yokel, D.A., 2023, Unrecorded tundra fires of the Arctic Slope, Alaska USA: Fire, v. 6, no. 3, 101, 15 p., https://doi.org/10.3390/fire6030101.","productDescription":"101, 15 p.","ipdsId":"IP-149180","costCenters":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"links":[{"id":444291,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/fire6030101","text":"Publisher Index Page"},{"id":420656,"type":{"id":24,"text":"Thumbnail"},"url":"http://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"North Slope","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -160.4484880553961,\n              71.7899258131992\n            ],\n            [\n              -160.4484880553961,\n              69.97876537974165\n            ],\n            [\n              -153.1566947447127,\n              69.97876537974165\n            ],\n            [\n              -153.1566947447127,\n              71.7899258131992\n            ],\n            [\n              -160.4484880553961,\n              71.7899258131992\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"6","issue":"3","noUsgsAuthors":false,"publicationDate":"2023-03-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Miller, Eric A.","contributorId":329603,"corporation":false,"usgs":false,"family":"Miller","given":"Eric","email":"","middleInitial":"A.","affiliations":[{"id":78670,"text":"Bureau of Land Management - Alaska Fire Service","active":true,"usgs":false}],"preferred":false,"id":882694,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Benjamin M. 0000-0002-1517-4711","orcid":"https://orcid.org/0000-0002-1517-4711","contributorId":208625,"corporation":false,"usgs":false,"family":"Jones","given":"Benjamin M.","affiliations":[{"id":37848,"text":"Water and Environmental Research Center, University of Alaska Fairbanks, Fairbanks, Alaska, UNITED STATES","active":true,"usgs":false}],"preferred":true,"id":882695,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baughman, Carson 0000-0002-9423-9324 cbaughman@usgs.gov","orcid":"https://orcid.org/0000-0002-9423-9324","contributorId":169657,"corporation":false,"usgs":true,"family":"Baughman","given":"Carson","email":"cbaughman@usgs.gov","affiliations":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"preferred":true,"id":882696,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jandt, Randi R.","contributorId":329604,"corporation":false,"usgs":false,"family":"Jandt","given":"Randi","email":"","middleInitial":"R.","affiliations":[{"id":78672,"text":"University of Alaska Fairbanks - Alaska Fire Science Consortium","active":true,"usgs":false}],"preferred":false,"id":882697,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jenkins, Jennifer L.","contributorId":329605,"corporation":false,"usgs":false,"family":"Jenkins","given":"Jennifer","email":"","middleInitial":"L.","affiliations":[{"id":78670,"text":"Bureau of Land Management - Alaska Fire Service","active":true,"usgs":false}],"preferred":false,"id":882698,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Yokel, David A.","contributorId":329606,"corporation":false,"usgs":false,"family":"Yokel","given":"David","email":"","middleInitial":"A.","affiliations":[{"id":78673,"text":"Bureau of Land Management Arctic District Office","active":true,"usgs":false}],"preferred":false,"id":882699,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70243080,"text":"70243080 - 2023 - Towards vibrant fish populations and sustainable fisheries that benefit all: Learning from the last 30 years to inform the next 30 years","interactions":[],"lastModifiedDate":"2023-04-28T11:54:59.866731","indexId":"70243080","displayToPublicDate":"2023-03-04T06:52:40","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3278,"text":"Reviews in Fish Biology and Fisheries","active":true,"publicationSubtype":{"id":10}},"title":"Towards vibrant fish populations and sustainable fisheries that benefit all: Learning from the last 30 years to inform the next 30 years","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>A common goal among fisheries science professionals, stakeholders, and rights holders is to ensure the persistence and resilience of vibrant fish populations and sustainable, equitable fisheries in diverse aquatic ecosystems, from small headwater streams to offshore pelagic waters. Achieving this goal requires a complex intersection of science and management, and a recognition of the interconnections among people, place, and fish that govern these tightly coupled socioecological and sociotechnical systems. The World Fisheries Congress (WFC) convenes every four years and provides a unique global forum to debate and discuss threats, issues, and opportunities facing fish populations and fisheries. The 2021 WFC meeting, hosted remotely in Adelaide, Australia, marked the 30th year since the first meeting was held in Athens, Greece, and provided an opportunity to reflect on progress made in the past 30&nbsp;years and provide guidance for the future. We assembled a diverse team of individuals involved with the Adelaide WFC and reflected on the major challenges that faced fish and fisheries over the past 30&nbsp;years, discussed progress toward overcoming those challenges, and then used themes that emerged during the Congress to identify issues and opportunities to improve sustainability in the world's fisheries for the next 30&nbsp;years. Key future needs and opportunities identified include: rethinking fisheries management systems and modelling approaches, modernizing and integrating assessment and information systems, being responsive and flexible in addressing persistent and emerging threats to fish and fisheries, mainstreaming the human dimension of fisheries, rethinking governance, policy and compliance, and achieving equity and inclusion in fisheries. We also identified a number of cross-cutting themes including better understanding the role of fish as nutrition in a hungry world, adapting to climate change, embracing transdisciplinarity, respecting Indigenous knowledge systems, thinking ahead with foresight science, and working together across scales. By reflecting on the past and thinking about the future, we aim to provide guidance for achieving our mutual goal of sustaining vibrant fish populations and sustainable fisheries that benefit all. We hope that this prospective thinking can serve as a guide to (i) assess progress towards achieving this lofty goal and (ii) refine our path with input from new and emerging voices and approaches in fisheries science, management, and stewardship.</p></div></div>","language":"English","publisher":"Springer","doi":"10.1007/s11160-023-09765-8","usgsCitation":"Cooke, S., Fulton, E.A., Sauer, W.H., Lynch, A., Link, J.S., Koning, A., Jena, J., Silva, L., King, A.J., Kelly, R., Osborne, M., Nakamura, J., Preece, A.L., Hagiwara, A., Forsberg, K., Kellner, J.B., Coscia, I., Helyar, S., Barange, M., Nyboer, E.A., Williams, M.J., Chuenpagdee, R., Begg, G.A., and Gillanders, B.M., 2023, Towards vibrant fish populations and sustainable fisheries that benefit all: Learning from the last 30 years to inform the next 30 years: Reviews in Fish Biology and Fisheries, v. 33, p. 317-347, https://doi.org/10.1007/s11160-023-09765-8.","productDescription":"31 p.","startPage":"317","endPage":"347","ipdsId":"IP-137494","costCenters":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":444294,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s11160-023-09765-8","text":"Publisher Index Page"},{"id":416488,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"33","noUsgsAuthors":false,"publicationDate":"2023-03-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Cooke, Steven J.","contributorId":56132,"corporation":false,"usgs":false,"family":"Cooke","given":"Steven J.","affiliations":[{"id":36574,"text":"Carleton University, Ottawa, Ontario","active":true,"usgs":false}],"preferred":false,"id":870942,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fulton, Elizabeth A.","contributorId":271278,"corporation":false,"usgs":false,"family":"Fulton","given":"Elizabeth","email":"","middleInitial":"A.","affiliations":[{"id":36909,"text":"CSIRO","active":true,"usgs":false}],"preferred":false,"id":870943,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sauer, Warwick H. H.","contributorId":221039,"corporation":false,"usgs":false,"family":"Sauer","given":"Warwick","email":"","middleInitial":"H. H.","affiliations":[],"preferred":false,"id":870944,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lynch, Abigail 0000-0001-8449-8392","orcid":"https://orcid.org/0000-0001-8449-8392","contributorId":220490,"corporation":false,"usgs":true,"family":"Lynch","given":"Abigail","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":870945,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Link, Jason S.","contributorId":304558,"corporation":false,"usgs":false,"family":"Link","given":"Jason","email":"","middleInitial":"S.","affiliations":[{"id":38698,"text":"NOAA Fisheries","active":true,"usgs":false}],"preferred":false,"id":870946,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Koning, Aaron A.","contributorId":250657,"corporation":false,"usgs":false,"family":"Koning","given":"Aaron A.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":870947,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jena, Joykrushna","contributorId":304560,"corporation":false,"usgs":false,"family":"Jena","given":"Joykrushna","email":"","affiliations":[{"id":66103,"text":"Indian Council of Agricultural Research","active":true,"usgs":false}],"preferred":false,"id":870948,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Silva, Luiz G. M.","contributorId":220483,"corporation":false,"usgs":false,"family":"Silva","given":"Luiz G. M.","affiliations":[{"id":40173,"text":"Charles Sturt University","active":true,"usgs":false}],"preferred":false,"id":870949,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"King, Alison J.","contributorId":304561,"corporation":false,"usgs":false,"family":"King","given":"Alison","email":"","middleInitial":"J.","affiliations":[{"id":24850,"text":"La Trobe university","active":true,"usgs":false}],"preferred":false,"id":870950,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kelly, Rachel","contributorId":304562,"corporation":false,"usgs":false,"family":"Kelly","given":"Rachel","email":"","affiliations":[{"id":16141,"text":"University of Tasmania","active":true,"usgs":false}],"preferred":false,"id":870951,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Osborne, Matthew","contributorId":304563,"corporation":false,"usgs":false,"family":"Osborne","given":"Matthew","email":"","affiliations":[{"id":66105,"text":"Department of Industry, Tourism and Trade","active":true,"usgs":false}],"preferred":false,"id":870952,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Nakamura, Julia","contributorId":304564,"corporation":false,"usgs":false,"family":"Nakamura","given":"Julia","email":"","affiliations":[{"id":66106,"text":"University of Strathclyde Law School","active":true,"usgs":false}],"preferred":false,"id":870953,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Preece, Ann L.","contributorId":304566,"corporation":false,"usgs":false,"family":"Preece","given":"Ann","email":"","middleInitial":"L.","affiliations":[{"id":39614,"text":"CSIRO Oceans and Atmosphere","active":true,"usgs":false}],"preferred":false,"id":870954,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Hagiwara, Atsushi","contributorId":304567,"corporation":false,"usgs":false,"family":"Hagiwara","given":"Atsushi","email":"","affiliations":[{"id":66108,"text":"Nagasaki University","active":true,"usgs":false}],"preferred":false,"id":870955,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Forsberg, Kerstin","contributorId":304568,"corporation":false,"usgs":false,"family":"Forsberg","given":"Kerstin","email":"","affiliations":[{"id":66109,"text":"Planeta Océano","active":true,"usgs":false}],"preferred":false,"id":870956,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Kellner, Julie B.","contributorId":304569,"corporation":false,"usgs":false,"family":"Kellner","given":"Julie","email":"","middleInitial":"B.","affiliations":[{"id":66110,"text":"International Council for the Exploration of the Sea","active":true,"usgs":false}],"preferred":false,"id":870957,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Coscia, Ilaria","contributorId":304570,"corporation":false,"usgs":false,"family":"Coscia","given":"Ilaria","email":"","affiliations":[{"id":66111,"text":"University of Salford","active":true,"usgs":false}],"preferred":false,"id":870958,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Helyar, Sarah","contributorId":304571,"corporation":false,"usgs":false,"family":"Helyar","given":"Sarah","email":"","affiliations":[{"id":66112,"text":"Queen's University Belfast","active":true,"usgs":false}],"preferred":false,"id":870959,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Barange, Manuel","contributorId":268085,"corporation":false,"usgs":false,"family":"Barange","given":"Manuel","email":"","affiliations":[{"id":32888,"text":"Food and Agriculture organization of the United Nations","active":true,"usgs":false}],"preferred":false,"id":870960,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Nyboer, Elizabeth A.","contributorId":250650,"corporation":false,"usgs":false,"family":"Nyboer","given":"Elizabeth","email":"","middleInitial":"A.","affiliations":[{"id":17786,"text":"Carleton University","active":true,"usgs":false}],"preferred":false,"id":870961,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Williams, Meryl J.","contributorId":304572,"corporation":false,"usgs":false,"family":"Williams","given":"Meryl","email":"","middleInitial":"J.","affiliations":[{"id":34270,"text":"Independent contractor","active":true,"usgs":false}],"preferred":false,"id":870962,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Chuenpagdee, Ratana","contributorId":304573,"corporation":false,"usgs":false,"family":"Chuenpagdee","given":"Ratana","email":"","affiliations":[{"id":26965,"text":"Memorial University of Newfoundland","active":true,"usgs":false}],"preferred":false,"id":870963,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Begg, Gavin A.","contributorId":304574,"corporation":false,"usgs":false,"family":"Begg","given":"Gavin","email":"","middleInitial":"A.","affiliations":[{"id":66113,"text":"Department of Primary Industries and Regions","active":true,"usgs":false}],"preferred":false,"id":870964,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Gillanders, Bronwyn M.","contributorId":304575,"corporation":false,"usgs":false,"family":"Gillanders","given":"Bronwyn","email":"","middleInitial":"M.","affiliations":[{"id":36897,"text":"University of Adelaide","active":true,"usgs":false}],"preferred":false,"id":870965,"contributorType":{"id":1,"text":"Authors"},"rank":24}]}}
,{"id":70242669,"text":"70242669 - 2023 - Using DC resistivity ring array surveys to resolve conductive structures around tunnels or mine-workings","interactions":[],"lastModifiedDate":"2023-04-12T11:49:04.808559","indexId":"70242669","displayToPublicDate":"2023-03-04T06:46:00","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2165,"text":"Journal of Applied Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Using DC resistivity ring array surveys to resolve conductive structures around tunnels or mine-workings","docAbstract":"<p id=\"sp010\">In underground environments, conventional direct current (DC) resistivity surveys with a single linear array of electrodes produce fundamentally non-unique inversions. These non-uniqueness and model resolution issues stem from limitations placed on the location of transmitters (TXs) and receivers (RXs) by the geometry of existing tunnels and boreholes. Poor excitation and/or sampling of the region of interest (ROI) can create artifacts and reduce the resolution of the recovered model.</p><p id=\"sp015\">To address these problems we propose the use of an ensemble of ring arrays, which are created by placing one or more electrodes in each face (sidewalls, floor, and ceiling) of the tunnel to form a ring of electrodes at each along-tunnel location. Using a series of increasingly complex synthetic models, we assess the benefits of ring arrays and show that they can be used to better constrain the location and shape of anomalous bodies around the tunnel.</p><p id=\"sp020\">Although ring arrays significantly improve the resolution of the recovered model, the size of the comprehensive ring array survey increases rapidly with the number of electrodes used. To balance model resolution and survey size, we developed a physics-based survey design methodology. In this methodology, TXs are selected based upon secondary charge accumulations on a test block that is moved throughout the ROI. Although this survey design methodology does not produce a strictly optimal survey, it balances model resolution and survey size in a practical and computationally efficient manner.</p><p id=\"sp025\">Since the ring array more accurately estimates the around-tunnel location of targets and ensures that targets on all sides of the tunnel are detected, it is ideally suited to tunnel-based environments. Our results show that only about<span>&nbsp;</span><span class=\"math\"><span id=\"MathJax-Element-1-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mrow is=&quot;true&quot;><mn is=&quot;true&quot;>6</mn><mo is=&quot;true&quot;>%</mo></mrow></math>\"><span class=\"MJX_Assistive_MathML\">6%</span></span></span><span>&nbsp;</span>of the possible TXs and<span>&nbsp;</span><span class=\"math\"><span id=\"MathJax-Element-2-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mrow is=&quot;true&quot;><mn is=&quot;true&quot;>0.5</mn><mo is=&quot;true&quot;>%</mo></mrow></math>\"><span class=\"MJX_Assistive_MathML\">0.5%</span></span></span><span>&nbsp;</span>of the RXs in the comprehensive ring array survey are needed to retain the improvements in resolution. Therefore, economical ring array surveys can be designed for both reconnaissance and target characterization. Following the inversion of the reconnaissance dataset, additional rings can be added to reduce the inter-ring spacing or off-tunnel boreholes can be added to the region around identified anomalies to increase resolution as required.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jappgeo.2023.104949","usgsCitation":"Mitchell, M.A., and Oldenburg, D.W., 2023, Using DC resistivity ring array surveys to resolve conductive structures around tunnels or mine-workings: Journal of Applied Geophysics, v. 211, 104949, 28 p., https://doi.org/10.1016/j.jappgeo.2023.104949.","productDescription":"104949, 28 p.","ipdsId":"IP-140867","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":415646,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"211","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Mitchell, Michael Albert 0000-0001-5070-8793","orcid":"https://orcid.org/0000-0001-5070-8793","contributorId":299110,"corporation":false,"usgs":true,"family":"Mitchell","given":"Michael","email":"","middleInitial":"Albert","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":869276,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Oldenburg, Douglas W. 0000-0002-4327-2124","orcid":"https://orcid.org/0000-0002-4327-2124","contributorId":304117,"corporation":false,"usgs":false,"family":"Oldenburg","given":"Douglas","email":"","middleInitial":"W.","affiliations":[{"id":65972,"text":"Geophysical Inversion Facility (GIF), Department of Earth, Ocean and Atmospheric Sciences, University of British Columbia","active":true,"usgs":false}],"preferred":false,"id":869277,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70250823,"text":"70250823 - 2023 - Gene expression reveals immune response strategies of naïve Hawaiian honeycreepers experimentally infected with introduced avian malaria","interactions":[],"lastModifiedDate":"2024-01-08T16:28:05.430478","indexId":"70250823","displayToPublicDate":"2023-03-03T10:17:46","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2333,"text":"Journal of Heredity","active":true,"publicationSubtype":{"id":10}},"title":"Gene expression reveals immune response strategies of naïve Hawaiian honeycreepers experimentally infected with introduced avian malaria","docAbstract":"<p><span>The unprecedented rise in the number of new and emerging infectious diseases in the last quarter century poses direct threats to human and wildlife health. The introduction to the Hawaiian archipelago of&nbsp;</span><i>Plasmodium relictum</i><span>&nbsp;and the mosquito vector that transmits the parasite has led to dramatic losses in endemic Hawaiian forest bird species. Understanding how mechanisms of disease immunity to avian malaria may evolve is critical as climate change facilitates increased disease transmission to high elevation habitats where malaria transmission has historically been low and the majority of the remaining extant Hawaiian forest bird species now reside. Here, we compare the transcriptomic profiles of highly susceptible Hawai‘i ‘amakihi (</span><i>Chlorodrepanis virens</i><span>) experimentally infected with&nbsp;</span><i>P. relictum</i><span>&nbsp;to those of uninfected control birds from a naïve high elevation population. We examined changes in gene expression profiles at different stages of infection to provide an in-depth characterization of the molecular pathways contributing to survival or mortality in these birds. We show that the timing and magnitude of the innate and adaptive immune response differed substantially between individuals that survived and those that succumbed to infection, and likely contributed to the observed variation in survival. These results lay the foundation for developing gene-based conservation strategies for Hawaiian honeycreepers by identifying candidate genes and cellular pathways involved in the pathogen response that correlate with a bird’s ability to recover from malaria infection.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/jhered/esad017","usgsCitation":"Paxton, K.L., Cassin-Sackett, L., Atkinson, C.T., Videvall, E., Campana, M.G., and Fleischer, R., 2023, Gene expression reveals immune response strategies of naïve Hawaiian honeycreepers experimentally infected with introduced avian malaria: Journal of Heredity, v. 114, no. 4, p. 326-340, https://doi.org/10.1093/jhered/esad017.","productDescription":"15 p.","startPage":"326","endPage":"340","ipdsId":"IP-146017","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":444300,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/jhered/esad017","text":"Publisher Index Page"},{"id":424188,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Upper Waiākea Forest Reserve","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -155.2837842159384,\n              19.513655819187463\n            ],\n            [\n              -155.2837842159384,\n              19.453182720007476\n            ],\n            [\n              -155.17446456498357,\n              19.453182720007476\n            ],\n            [\n              -155.17446456498357,\n              19.513655819187463\n            ],\n            [\n              -155.2837842159384,\n              19.513655819187463\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"114","issue":"4","noUsgsAuthors":false,"publicationDate":"2023-03-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Paxton, Kristina L. 0000-0003-2321-5090","orcid":"https://orcid.org/0000-0003-2321-5090","contributorId":41917,"corporation":false,"usgs":false,"family":"Paxton","given":"Kristina","email":"","middleInitial":"L.","affiliations":[{"id":12981,"text":"Department of Biological Sciences, University of Southern Mississippi","active":true,"usgs":false},{"id":6977,"text":"University of Hawai`i at Hilo","active":true,"usgs":false}],"preferred":false,"id":891679,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cassin-Sackett, Loren","contributorId":258061,"corporation":false,"usgs":false,"family":"Cassin-Sackett","given":"Loren","email":"","affiliations":[{"id":52221,"text":"Center for Conservation Genomics, Smithsonian Conservation Biology Institute","active":true,"usgs":false}],"preferred":false,"id":891680,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Atkinson, Carter T. 0000-0002-6568-3485 catkinson@usgs.gov","orcid":"https://orcid.org/0000-0002-6568-3485","contributorId":333020,"corporation":false,"usgs":true,"family":"Atkinson","given":"Carter","email":"catkinson@usgs.gov","middleInitial":"T.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":891681,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Videvall, Elin","contributorId":258059,"corporation":false,"usgs":false,"family":"Videvall","given":"Elin","email":"","affiliations":[{"id":52221,"text":"Center for Conservation Genomics, Smithsonian Conservation Biology Institute","active":true,"usgs":false}],"preferred":false,"id":891682,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Campana, Michael G.","contributorId":258060,"corporation":false,"usgs":false,"family":"Campana","given":"Michael","email":"","middleInitial":"G.","affiliations":[{"id":52221,"text":"Center for Conservation Genomics, Smithsonian Conservation Biology Institute","active":true,"usgs":false}],"preferred":false,"id":891683,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fleischer, Robert C.","contributorId":258062,"corporation":false,"usgs":false,"family":"Fleischer","given":"Robert C.","affiliations":[{"id":52221,"text":"Center for Conservation Genomics, Smithsonian Conservation Biology Institute","active":true,"usgs":false}],"preferred":false,"id":891684,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70250333,"text":"70250333 - 2023 - Ecological significance of Wild Huckleberries (Vaccinium membranaceum)","interactions":[],"lastModifiedDate":"2023-12-04T16:24:53.418789","indexId":"70250333","displayToPublicDate":"2023-03-03T10:16:34","publicationYear":"2023","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"2","displayTitle":"Ecological significance of Wild Huckleberries (<i>Vaccinium membranaceum</i>)","title":"Ecological significance of Wild Huckleberries (Vaccinium membranaceum)","docAbstract":"<p><span>Wild huckleberry (</span><i>Vaccinium globare/membranaceum</i><span>&nbsp;complex) is a keystone species in the Pacific Northwest of the United States. The fruits are a primary food source for grizzly bears and other wildlife, as well as an important traditional and contemporary human food. Huckleberry shrubs also provide cover and nesting habitat for many animal species, including small mammals and birds. The flowers provide nectar and pollen with crucial connections between bumble bees (</span><i>Bombus</i><span>&nbsp;species) and huckleberries. Native bee pollination is essential for successful berry development. Huckleberries flower early in the growing season and are some of the only floral resources available when bumble bee queens first emerge from hibernation and need to collect pollen and nectar for nesting. One of these species, the Western bumble bee (</span><i>Bombus occidentalis</i><span>), is in review for listing under the U.S. Endangered Species Act. Future climate change has the potential to influence huckleberry distribution, productivity, and phenology. These potential changes could have wide-ranging implications because of the economic, cultural, and ecological importance of huckleberry.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Edible berries - New insights","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"IntechOpen","doi":"10.5772/intechopen.1001152","usgsCitation":"Lichtenberg, J., and Graves, T., 2023, Ecological significance of Wild Huckleberries (Vaccinium membranaceum), chap. 2 <i>of</i> Edible berries - New insights, 19 p., https://doi.org/10.5772/intechopen.1001152.","productDescription":"19 p.","ipdsId":"IP-149153","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":444301,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5772/intechopen.1001152","text":"Publisher Index Page"},{"id":423179,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2023-03-03","publicationStatus":"PW","contributors":{"editors":[{"text":"Kafkas, Nesibe E.","contributorId":332124,"corporation":false,"usgs":false,"family":"Kafkas","given":"Nesibe","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":889492,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Celik, Huseyin","contributorId":332125,"corporation":false,"usgs":false,"family":"Celik","given":"Huseyin","email":"","affiliations":[],"preferred":false,"id":889493,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Lichtenberg, Janene","contributorId":332122,"corporation":false,"usgs":false,"family":"Lichtenberg","given":"Janene","email":"","affiliations":[{"id":37636,"text":"Salish Kootenai College","active":true,"usgs":false}],"preferred":false,"id":889485,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Graves, Tabitha A. 0000-0001-5145-2400","orcid":"https://orcid.org/0000-0001-5145-2400","contributorId":202084,"corporation":false,"usgs":true,"family":"Graves","given":"Tabitha A.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":889486,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70241187,"text":"70241187 - 2023 - A river basin spatial model to quantitively advance understanding of riverine tree response dynamics to water availability and hydrological management","interactions":[],"lastModifiedDate":"2023-03-14T12:19:36.295822","indexId":"70241187","displayToPublicDate":"2023-03-03T07:18:02","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":13457,"text":"The Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"A river basin spatial model to quantitively advance understanding of riverine tree response dynamics to water availability and hydrological management","docAbstract":"<div id=\"abs0010\" class=\"abstract author\" lang=\"en\"><div id=\"abssec0010\"><p id=\"abspara0010\">Ecological condition continues to decline in arid and semi-arid river basins globally due to hydrological over-abstraction combined with changing climatic conditions. Whilst provision of water for the environment has been a primary approach to alleviate ecological decline, how to accurately monitor changes in riverine trees at fine spatial and temporal scales, remains a substantial challenge. This is further complicated by constantly changing water availability across expansive river basins with varying climatic zones. Within, we combine rare, fine-scale, high frequency temporal<span>&nbsp;</span><i>in-situ</i><span>&nbsp;</span>field collected data with machine learning and remote sensing, to provide a robust model that enables broadscale monitoring of physiological tree water stress response to environmental changes via actual evapotranspiration (ET). Physiological variation of<span>&nbsp;</span><i>Eucalyptus camaldulensis</i><span>&nbsp;</span>(River Red Gum) and<span>&nbsp;</span><i>E. largiflorens</i><span>&nbsp;</span>(Black Box) trees across 10 study locations in the southern Murray-Darling Basin, Australia, was captured instantaneously using sap flow sensors, substantially reducing tree response lags encountered by monitoring visual canopy changes. Actual ET measurement of both species was used to bias correct a national spatial ET product where a Random Forest model was trained using continuous timeseries of<span>&nbsp;</span><i>in-situ</i><span>&nbsp;</span>data of up to four years. Precise monthly AMLETT (<strong><u>A</u></strong>ustralia-wide<span>&nbsp;</span><strong><u>M</u></strong>achine<span>&nbsp;</span><strong><u>L</u></strong>earning<span>&nbsp;</span><strong><u>ET</u></strong><span>&nbsp;</span>for<span>&nbsp;</span><strong><u>T</u></strong>rees) ET outputs in 30&nbsp;m pixel resolution from 2012 to 2021, were derived by incorporating additional remote sensing layers such as soil moisture, land surface temperature, radiation and EVI and NDVI in the Random Forest model. Landsat and Sentinal-2 correlation results between<span>&nbsp;</span><i>in-situ</i><span>&nbsp;</span>ET and AMLETT ET returned R<sup>2</sup><span>&nbsp;</span>of 0.94 (RMSE 6.63&nbsp;mm period<sup>−1</sup>) and 0.92 (RMSE 6.89&nbsp;mm period<sup>−1</sup>), respectively. In comparison, correlation between<span>&nbsp;</span><i>in-situ</i><span>&nbsp;</span>ET and a national ET product returned R<sup>2</sup><span>&nbsp;</span>of 0.44 (RMSE 34.08&nbsp;mm period<sup>−1</sup>) highlighting the need for bias correction to generate accurate absolute ET values. The AMLETT method presented here, enhances environmental management in river basins worldwide. Such robust broadscale monitoring can inform water accounting and importantly, assist decisions on where to prioritize water for the environment to restore and protect key ecological assets and preserve floodplain and riparian ecological function.</p></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2023.117393","usgsCitation":"Doody, T.M., Gao, S., Vervoot, W., Pritchard, J., Davies, M., Nolan, M., and Nagler, P.L., 2023, A river basin spatial model to quantitively advance understanding of riverine tree response dynamics to water availability and hydrological management: The Journal of Environmental Management, v. 332, 117393, 14 p., https://doi.org/10.1016/j.jenvman.2023.117393.","productDescription":"117393, 14 p.","ipdsId":"IP-144919","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":444303,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jenvman.2023.117393","text":"Publisher Index Page"},{"id":414089,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Australia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              140.07757319376452,\n              -34.95139605233576\n            ],\n            [\n              144.51416562293036,\n              -34.95139605233576\n            ],\n            [\n              144.51416562293036,\n              -32.46697218892208\n            ],\n            [\n              140.07757319376452,\n              -32.46697218892208\n            ],\n            [\n              140.07757319376452,\n              -34.95139605233576\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"332","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Doody, Tanya M.","contributorId":138691,"corporation":false,"usgs":false,"family":"Doody","given":"Tanya","email":"","middleInitial":"M.","affiliations":[{"id":12494,"text":"CSIRO Land and Water, Australia","active":true,"usgs":false}],"preferred":false,"id":866383,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gao, Sicong","contributorId":303040,"corporation":false,"usgs":false,"family":"Gao","given":"Sicong","email":"","affiliations":[{"id":65623,"text":"CSIRO, Land and Water, Waite Campus, Adelaide, South Australia, Australia; University of Canberra, Canberra, Australian Capital Territory, Australia","active":true,"usgs":false}],"preferred":false,"id":866384,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vervoot, Willem","contributorId":303041,"corporation":false,"usgs":false,"family":"Vervoot","given":"Willem","email":"","affiliations":[{"id":65624,"text":"School of Life and Environmental Sciences, The University of Sydney, Sydney, Australia","active":true,"usgs":false}],"preferred":false,"id":866385,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pritchard, Jodie","contributorId":303042,"corporation":false,"usgs":false,"family":"Pritchard","given":"Jodie","email":"","affiliations":[{"id":65625,"text":"CSIRO, Land and Water, Waite Campus, Adelaide, South Australia, Australia","active":true,"usgs":false}],"preferred":false,"id":866386,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Davies, Michah","contributorId":303043,"corporation":false,"usgs":false,"family":"Davies","given":"Michah","email":"","affiliations":[{"id":65627,"text":"CSIRO, Land and Water, Canberra, Australian Capital Territory, Australia","active":true,"usgs":false}],"preferred":false,"id":866387,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nolan, Martin","contributorId":303044,"corporation":false,"usgs":false,"family":"Nolan","given":"Martin","email":"","affiliations":[{"id":65625,"text":"CSIRO, Land and Water, Waite Campus, Adelaide, South Australia, Australia","active":true,"usgs":false}],"preferred":false,"id":866388,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nagler, Pamela L. 0000-0003-0674-103X pnagler@usgs.gov","orcid":"https://orcid.org/0000-0003-0674-103X","contributorId":1398,"corporation":false,"usgs":true,"family":"Nagler","given":"Pamela","email":"pnagler@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":866389,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70243116,"text":"70243116 - 2023 - Efficacy of florfenicol and oxytetracycline administered in feed to control cisco mortality associated with Aeromonas salmonicida infections","interactions":[],"lastModifiedDate":"2023-05-01T12:03:53.30186","indexId":"70243116","displayToPublicDate":"2023-03-03T07:00:47","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2885,"text":"North American Journal of Aquaculture","active":true,"publicationSubtype":{"id":10}},"title":"Efficacy of florfenicol and oxytetracycline administered in feed to control cisco mortality associated with Aeromonas salmonicida infections","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><p>Two medications (one with florfenicol and one with oxytetracycline) that are approved in the United States to control mortality due to furunculosis associated with<span>&nbsp;</span><i>Aeromonas salmonicida</i><span>&nbsp;</span>were assessed to determine their efficacy in medicated feeds to treat<span>&nbsp;</span><i>A. salmonicida</i>-infected Cisco&nbsp;(also&nbsp;known&nbsp;as&nbsp;Lake&nbsp;Herring)<span>&nbsp;</span><i>Coregonus artedi</i>. Cisco were subjected to static infection baths containing<span>&nbsp;</span><i>A. salmonicida</i><span>&nbsp;</span>or a sham control and then were distributed to replicate test tanks within four treatment groups: (1) fish infected with<span>&nbsp;</span><i>A. salmonicida</i><span>&nbsp;</span>and treated with 15 mg florfenicol·kg body weight (BW)<sup>−1</sup>·d<sup>−1</sup>, (2) fish infected with<span>&nbsp;</span><i>A. salmonicida</i><span>&nbsp;</span>and treated with 83 mg oxytetracycline·kg BW<sup>−1</sup>·d<sup>−1</sup>, (3) fish infected with<span>&nbsp;</span><i>A. salmonicida</i><span>&nbsp;</span>and treated with a nonmedicated control feed, and (4) uninfected fish treated with a nonmedicated control feed. Medicated and comparative nonmedicated feed rations were administered at 2% BW/d for 10 consecutive days in accordance with the U.S. Food and Drug Administration-approved drug label, followed by a 7-d postdosing observation period using only nonmedicated feed. Cisco that were infected with<span>&nbsp;</span><i>A. salmonicida</i><span>&nbsp;</span>and treated with florfenicol (79% survival) and oxytetracycline (85% survival) had significantly higher survival than<span>&nbsp;</span><i>A. salmonicida</i>-infected fish that received no medicated treatment (3% survival). No statistical difference in Cisco survival between the two medicated feed types was found.<span>&nbsp;</span><i>Aeromonas salmonicida</i><span>&nbsp;</span>was not detected in the kidney tissue of any surviving fish treated with medicated feeds at 7 d postdosing using quantitative PCR analysis. Overall, this study demonstrated that florfenicol- and oxytetracycline-medicated feeds were effective<span>&nbsp;</span><i>A. salmonicida</i><span>&nbsp;</span>treatments for Cisco. Outcomes may inform ongoing propagation efforts for Cisco restoration within the Great Lakes basin.</p></div></div>","language":"English","publisher":"American Fisheries Society","doi":"10.1002/naaq.10283","usgsCitation":"Cupp, A.R., Tuttle-Lau, M.T., Leis, E., Wolfe, S.L., Smerud, J.R., Oliver, J.W., Erickson, R.A., Hannah, A., Johnson, A., Nelson, R.G., Standish, I., Wils, J., and Gaikowski, M., 2023, Efficacy of florfenicol and oxytetracycline administered in feed to control cisco mortality associated with Aeromonas salmonicida infections: North American Journal of Aquaculture, v. 85, no. 2, p. 156-165, https://doi.org/10.1002/naaq.10283.","productDescription":"10 p.","startPage":"156","endPage":"165","ipdsId":"IP-141637","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":499257,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/naaq.10283","text":"Publisher Index Page"},{"id":435424,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9D332EL","text":"USGS data release","linkHelpText":"Coregonid"},{"id":435423,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9JLTQSM","text":"USGS data release","linkHelpText":"Treatment of Aeromonas salmonicida in Lake Herring (Coregonus artedi) Using Medicated Feeds"},{"id":416545,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"85","issue":"2","noUsgsAuthors":false,"publicationDate":"2023-03-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Cupp, Aaron R. 0000-0001-5995-2100 acupp@usgs.gov","orcid":"https://orcid.org/0000-0001-5995-2100","contributorId":5162,"corporation":false,"usgs":true,"family":"Cupp","given":"Aaron","email":"acupp@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":871103,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tuttle-Lau, Maren T.","contributorId":146196,"corporation":false,"usgs":false,"family":"Tuttle-Lau","given":"Maren","email":"","middleInitial":"T.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":871104,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Leis, Eric","contributorId":179325,"corporation":false,"usgs":false,"family":"Leis","given":"Eric","affiliations":[],"preferred":false,"id":871105,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wolfe, Samantha L. 0000-0001-8563-8836","orcid":"https://orcid.org/0000-0001-8563-8836","contributorId":274999,"corporation":false,"usgs":true,"family":"Wolfe","given":"Samantha","email":"","middleInitial":"L.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":871106,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smerud, Justin R. 0000-0003-4385-7437 jrsmerud@usgs.gov","orcid":"https://orcid.org/0000-0003-4385-7437","contributorId":5031,"corporation":false,"usgs":true,"family":"Smerud","given":"Justin","email":"jrsmerud@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":871107,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Oliver, John W.","contributorId":304594,"corporation":false,"usgs":false,"family":"Oliver","given":"John","email":"","middleInitial":"W.","affiliations":[{"id":66124,"text":"University of Wisconsin-La Crosse, under contract to the U.S. Geological Survey","active":true,"usgs":false}],"preferred":false,"id":871108,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Erickson, Richard A. 0000-0003-4649-482X rerickson@usgs.gov","orcid":"https://orcid.org/0000-0003-4649-482X","contributorId":5455,"corporation":false,"usgs":true,"family":"Erickson","given":"Richard","email":"rerickson@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":871109,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hannah, Austin","contributorId":304595,"corporation":false,"usgs":false,"family":"Hannah","given":"Austin","email":"","affiliations":[{"id":66125,"text":"U.S. Fish and Wildlife Service, MFC","active":true,"usgs":false}],"preferred":false,"id":871110,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Johnson, Aaron","contributorId":304596,"corporation":false,"usgs":false,"family":"Johnson","given":"Aaron","email":"","affiliations":[{"id":66125,"text":"U.S. Fish and Wildlife Service, MFC","active":true,"usgs":false}],"preferred":false,"id":871111,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Nelson, Rachel Grace 0000-0002-4518-7716","orcid":"https://orcid.org/0000-0002-4518-7716","contributorId":304597,"corporation":false,"usgs":true,"family":"Nelson","given":"Rachel","email":"","middleInitial":"Grace","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":871112,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Standish, Isaac","contributorId":304598,"corporation":false,"usgs":false,"family":"Standish","given":"Isaac","email":"","affiliations":[{"id":66125,"text":"U.S. Fish and Wildlife Service, MFC","active":true,"usgs":false}],"preferred":false,"id":871113,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Wils, Joel","contributorId":304599,"corporation":false,"usgs":false,"family":"Wils","given":"Joel","email":"","affiliations":[{"id":66125,"text":"U.S. Fish and Wildlife Service, MFC","active":true,"usgs":false}],"preferred":false,"id":871114,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Gaikowski, Mark P. 0000-0002-6507-9341 mgaikowski@usgs.gov","orcid":"https://orcid.org/0000-0002-6507-9341","contributorId":149357,"corporation":false,"usgs":true,"family":"Gaikowski","given":"Mark P.","email":"mgaikowski@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":871115,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70240930,"text":"tm11B14 - 2023 - User’s Guide to planetary image analysis and geologic mapping in ArcGIS Pro","interactions":[],"lastModifiedDate":"2023-03-03T11:52:55.121859","indexId":"tm11B14","displayToPublicDate":"2023-03-02T07:37:09","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"11-B14","displayTitle":"User’s Guide to Planetary Image Analysis and Geologic Mapping in ArcGIS Pro","title":"User’s Guide to planetary image analysis and geologic mapping in ArcGIS Pro","docAbstract":"<p>Geologic maps are valuable tools in planetary science. Though planetary geologic maps are similar to terrestrial (Earthbased) geologic maps, the nature of planetary exploration introduces unique challenges for geologic mappers. Terrestrial geologic mappers prepare products from field-based observation, often comparing or refining those with aerial and (or) orbital images. Planetary geologic mapping relies almost exclusively on remote observations, which are made by orbiting spacecraft. Therefore, with a few exceptions for locations with rovers, landers, or crewed surface missions, planetary geologic mappers are not able to observe their map area in detail or at smaller scales. As a result, they must interpret and describe their map features differently than those used in terrestrial geologic maps. For example, terrestrial geologic mappers commonly divide units by lithology (rock type) or grain size. However, planetary geologic mappers often do not have detailed enough information to know what type of rock or grain size is present, and instead must divide the planet’s surface into geologic units using differences in tone, color, and surface texture (at multiple scales). Cross-cutting relationships, where apparent, can provide excellent—and often crucial—observations for identifying and subdividing geologic units using orbital datasets. The process of creating planetary maps has evolved over time, from original hand-drawn maps created during the early 1800s through the late 1900s, to the fully digital products created today. Modern-day planetary geologic mapping uses Geographic Information Systems (GIS) software and tools to visualize data, delineate units and landforms, and accurately convey spatial relationships to a map user using cartographic features represented by points, lines, and polygons. This tutorial was written to familiarize both new and experienced planetary geologic mappers with ArcGIS Pro, a commonly used GIS software package developed by Esri. This tutorial introduces new planetary geologic mappers to fundamental concepts and best practices in planetary geologic mapping. For mappers with experience using ArcMap (a previous version of ArcGIS), this tutorial will help to familiarize users with new changes in layout and functionality, so current projects may be migrated into the ArcGIS Pro environment. No prior knowledge is required, although a general familiarity with geology, GIS, and planetary science is recommended. This tutorial includes links to helpful glossaries of common GIS terms and other GIS and planetary science resources in appendix 1. For additional information on planetary geologic mapping, see the U.S Geological Survey (USGS) Astrogeology NASA Planetary Geologic Mapping Program website and the Planetary Mapping Guidelines. Numerous ArcGIS tutorials are also available from Esri’s Tutorials page, through the Esri Academy catalog, and Esri’s ArcGIS Pro Resources page.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm11B14","usgsCitation":"Black, S.R., 2023, User’s Guide to planetary image analysis and geologic mapping in ArcGIS Pro: U.S. Geological Survey Techniques and Methods 11–B14, 180 p., https://doi.org/10.3133/tm11B14.","productDescription":"vi, 180 p.","onlineOnly":"Y","ipdsId":"IP-133084","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":413590,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/11/b14/tm11b14.pdf","text":"Report","size":"88.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"TM 11-B14"},{"id":413589,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/tm/11/b14/coverthb.jpg"},{"id":413591,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/tm11B13","text":"TM 11-B13 —","description":"TM 11-B13","linkHelpText":"Planetary geologic mapping protocol—2022"}],"contact":"<p><a href=\"https://www.usgs.gov/centers/astrogeology-science-center/connect\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/astrogeology-science-center/connect\">Astrogeology Research Program staff</a><br><a href=\"https://www.usgs.gov/centers/astrogeology-science-center\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/astrogeology-science-center\">Astrogeology Science Center</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov/\">U.S. Geological Survey</a><br>2255 N. Gemini Dr.<br>Flagstaff, AZ 86001</p>","tableOfContents":"<ul><li>Background</li><li>Learning Goals and Objectives</li><li>Required Files and Preparation</li><li>Exercise 1: Introduction to ArcGIS Pr</li><li>Exercise 2: Working with Rasters</li><li>Exercise 3: Working with Vectors</li><li>Exercise 4: Analyzing Data for Threshold Criteria (Landing Site Selection)</li><li>Exercise 5: Creating Map Layouts and Products</li><li>Appendixes 1–3</li></ul>","publishedDate":"2023-03-02","noUsgsAuthors":false,"publicationDate":"2023-03-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Black, Sarah R. 0000-0003-0925-2143","orcid":"https://orcid.org/0000-0003-0925-2143","contributorId":292495,"corporation":false,"usgs":true,"family":"Black","given":"Sarah","email":"","middleInitial":"R.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":865342,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70250984,"text":"70250984 - 2023 - Dissolved organic matter transformations in a freshwater rivermouth","interactions":[],"lastModifiedDate":"2024-01-17T13:27:21.45089","indexId":"70250984","displayToPublicDate":"2023-03-02T07:23:38","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1007,"text":"Biogeochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Dissolved organic matter transformations in a freshwater rivermouth","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>River-to-lake transitional areas are biogeochemically active ecosystems that can alter the amount and composition of dissolved organic matter (DOM) as it moves through the aquatic continuum. However, few studies have directly measured carbon processing and assessed the carbon budget of freshwater rivermouths. We compiled measurements of dissolved organic carbon (DOC) and DOM in several water column (light and dark) and sediment incubation experiments conducted in the mouth of the Fox river (Fox rivermouth) upstream from Green Bay, Lake Michigan. Despite variation in the direction of DOC fluxes from sediments, we found that the Fox rivermouth was a net sink of DOC where water column DOC mineralization outweighed the release of DOC from sediments at the rivermouth scale. Although we found DOM composition also changed during our experiments, alterations in DOM optical properties were largely independent of the direction of sediment DOC fluxes. We found a consistent decrease in humic-like and fulvic-like terrestrial DOM and a consistent increase in the overall microbial composition of rivermouth DOM during our incubations. Moreover, greater ambient total dissolved phosphorus concentrations were positively associated with the consumption of terrestrial humic-like, microbial protein-like, and more recently derived DOM but had no effect on bulk DOC in the water column. Unexplained variation indicates that other environmental controls and water column processes affect the processing of DOM in this rivermouth. Nonetheless, the Fox rivermouth appears capable of substantial DOM transformation with implications for the composition of DOM entering Lake Michigan.</p></div></div>","language":"English","publisher":"Springer","doi":"10.1007/s10533-022-01000-z","usgsCitation":"Pearce, N.J., Larson, J.H., Evans, M.A., Bailey, S., Frost, P., James, W.F., and Xenopoulos, M., 2023, Dissolved organic matter transformations in a freshwater rivermouth: Biogeochemistry, v. 163, p. 245-263, https://doi.org/10.1007/s10533-022-01000-z.","productDescription":"19 p.","startPage":"245","endPage":"263","ipdsId":"IP-134365","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":444307,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10533-022-01000-z","text":"Publisher Index Page"},{"id":435425,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9Q1TI5E","text":"USGS data release","linkHelpText":"Water column and sediment incubations to measure dissolved organic matter dynamics in the Fox rivermouth (Lake Michigan; 2016-2017)"},{"id":424492,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Fox River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -88.10473606689214,\n              44.421002627135266\n            ],\n            [\n              -87.95642063720477,\n              44.421002627135266\n            ],\n            [\n              -87.95642063720477,\n              44.55620001865145\n            ],\n            [\n              -88.10473606689214,\n              44.55620001865145\n            ],\n            [\n              -88.10473606689214,\n              44.421002627135266\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"163","noUsgsAuthors":false,"publicationDate":"2023-03-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Pearce, Nolan J.T. 0000-0001-6600-5275","orcid":"https://orcid.org/0000-0001-6600-5275","contributorId":268195,"corporation":false,"usgs":false,"family":"Pearce","given":"Nolan","email":"","middleInitial":"J.T.","affiliations":[{"id":36679,"text":"Trent University","active":true,"usgs":false}],"preferred":false,"id":892655,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Larson, James H. 0000-0002-6414-9758 jhlarson@usgs.gov","orcid":"https://orcid.org/0000-0002-6414-9758","contributorId":4250,"corporation":false,"usgs":true,"family":"Larson","given":"James","email":"jhlarson@usgs.gov","middleInitial":"H.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":892656,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Evans, Mary Anne 0000-0002-1627-7210 maevans@usgs.gov","orcid":"https://orcid.org/0000-0002-1627-7210","contributorId":149358,"corporation":false,"usgs":true,"family":"Evans","given":"Mary","email":"maevans@usgs.gov","middleInitial":"Anne","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":892657,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bailey, Sean 0000-0003-0361-7914 sbailey@usgs.gov","orcid":"https://orcid.org/0000-0003-0361-7914","contributorId":198515,"corporation":false,"usgs":true,"family":"Bailey","given":"Sean","email":"sbailey@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":892658,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Frost, Paul C.","contributorId":138622,"corporation":false,"usgs":false,"family":"Frost","given":"Paul C.","affiliations":[{"id":12467,"text":"Department of Biology, Trent University, Peterborough, ON  CA","active":true,"usgs":false}],"preferred":false,"id":892659,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"James, William F.","contributorId":213265,"corporation":false,"usgs":false,"family":"James","given":"William","email":"","middleInitial":"F.","affiliations":[{"id":38729,"text":"University of Wisconsin-Stout","active":true,"usgs":false}],"preferred":false,"id":892660,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Xenopoulos, Marguerite A.","contributorId":138623,"corporation":false,"usgs":false,"family":"Xenopoulos","given":"Marguerite A.","affiliations":[{"id":12467,"text":"Department of Biology, Trent University, Peterborough, ON  CA","active":true,"usgs":false}],"preferred":false,"id":892661,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70250079,"text":"70250079 - 2023 - Climate change and maple syrup: Producer observations, perceptions, knowledge, and adaptation strategies","interactions":[],"lastModifiedDate":"2023-11-16T12:49:42.736658","indexId":"70250079","displayToPublicDate":"2023-03-02T06:48:22","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5860,"text":"Frontiers in Forests and Global Change","active":true,"publicationSubtype":{"id":10}},"title":"Climate change and maple syrup: Producer observations, perceptions, knowledge, and adaptation strategies","docAbstract":"<p class=\"mb15\"><strong>Introduction:</strong><span>&nbsp;</span>Climate change is impacting forest-based agricultural systems with implications for producer decision-making and livelihoods. This article presents a case study on the observations, perceptions, knowledge, and adaptation strategies of maple syrup producers in the United States to climate change.</p><p class=\"mb15\"><strong>Methods:</strong><span>&nbsp;</span>We carried out two semi-structured surveys with maple producers on: (1) climate change and its impacts on the maple system (<i>n</i><span>&nbsp;</span>= 106 participants); and (2) responses to climate adaptation scenarios (<i>n</i><span>&nbsp;</span>= 98 participants). Additionally, we carried out two focus groups and key informant interviews (<i>n</i><span>&nbsp;</span>= 70+) to understand barriers and opportunities for climate adaptation. One of these focus groups and follow up key informant interviews was with tribally affiliated community members with the intention to acknowledge Indigenous Peoples’ voices, history, and relationships to the land.</p><p class=\"mb15\"><strong>Results:</strong><span>&nbsp;</span>Findings highlight that most of the surveyed producers (89%) have experienced the negative impacts of climate on maple syrup production. While 40% of participants feel concerned regarding the future of the maple system, 39% feel hopeful, with significant differences based on the age of the surveyed producers. The majority of producers have adapted their harvesting practices to climate effects. Producers shared knowledge of multiple adaptation strategies in response to climate scenarios comprised of: (1) stand management practices such as diversification of sap species tapped; (2) harvesting practices such as changing the type and number of taps; (3) sap processing practices focused on the integration of technology such as the use of an evaporator and reverse osmosis; and (4) marketing practices such as innovation of products and marketing different maple syrup characteristics. Responses shared by tribally affiliated producers highlight knowledge of multiple adaptation strategies that focus on long-term ecological management of forests rather than technological solutions.</p><p class=\"mb0\"><strong>Discussion:</strong><span>&nbsp;</span>Overall, findings emphasize the importance of cooperation and diversification at every level and dimension of the maple system for its long-term resilience.</p>","language":"English","publisher":"Frontiers","doi":"10.3389/ffgc.2023.1092218","usgsCitation":"Ahmed, S., Lutz, D.A., Rapp, T., Huish, R.H., Dufour, B., Brunelle, A., Morelli, T.L., Stinson, K.A., and Warne, T., 2023, Climate change and maple syrup: Producer observations, perceptions, knowledge, and adaptation strategies: Frontiers in Forests and Global Change, v. 6, 1092218, 21 p., https://doi.org/10.3389/ffgc.2023.1092218.","productDescription":"1092218, 21 p.","ipdsId":"IP-147787","costCenters":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":444309,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/ffgc.2023.1092218","text":"Publisher Index Page"},{"id":422654,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","noUsgsAuthors":false,"publicationDate":"2023-03-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Ahmed, Selena","contributorId":232416,"corporation":false,"usgs":false,"family":"Ahmed","given":"Selena","email":"","affiliations":[],"preferred":false,"id":888249,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lutz, David A.","contributorId":232418,"corporation":false,"usgs":false,"family":"Lutz","given":"David","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":888250,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rapp, T Joshua","contributorId":331633,"corporation":false,"usgs":false,"family":"Rapp","given":"T Joshua","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":888251,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Huish, Ryan H.","contributorId":232414,"corporation":false,"usgs":false,"family":"Huish","given":"Ryan","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":888252,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dufour, Boris","contributorId":232415,"corporation":false,"usgs":false,"family":"Dufour","given":"Boris","email":"","affiliations":[],"preferred":false,"id":888253,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brunelle, Autumn","contributorId":331634,"corporation":false,"usgs":false,"family":"Brunelle","given":"Autumn","affiliations":[{"id":79257,"text":"Monroe Count Government","active":true,"usgs":false}],"preferred":false,"id":888254,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Morelli, Toni Lyn 0000-0001-5865-5294 tmorelli@usgs.gov","orcid":"https://orcid.org/0000-0001-5865-5294","contributorId":197458,"corporation":false,"usgs":true,"family":"Morelli","given":"Toni","email":"tmorelli@usgs.gov","middleInitial":"Lyn","affiliations":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":888255,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Stinson, Kristina A.","contributorId":232417,"corporation":false,"usgs":false,"family":"Stinson","given":"Kristina","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":888256,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Warne, Teresa","contributorId":331635,"corporation":false,"usgs":false,"family":"Warne","given":"Teresa","email":"","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":888257,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
]}