{"pageNumber":"385","pageRowStart":"9600","pageSize":"25","recordCount":165244,"records":[{"id":70229511,"text":"sir20215122 - 2022 - Circulation, mixing, and transport in nearshore Lake Erie in the vicinity of Villa Angela Beach and Euclid Creek, Cleveland, Ohio, June 10–12, 2019, and August 19–21, 2019","interactions":[],"lastModifiedDate":"2026-04-02T19:58:31.429059","indexId":"sir20215122","displayToPublicDate":"2022-03-09T13:02:42","publicationYear":"2022","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":"2021-5122","displayTitle":"Circulation, Mixing, and Transport in Nearshore Lake Erie in the Vicinity of Villa Angela Beach and Euclid Creek, Cleveland, Ohio, June 10–12, 2019, and August 19–21, 2019","title":"Circulation, mixing, and transport in nearshore Lake Erie in the vicinity of Villa Angela Beach and Euclid Creek, Cleveland, Ohio, June 10–12, 2019, and August 19–21, 2019","docAbstract":"<p>Villa Angela Beach, on the Lake Erie lakeshore near Cleveland, Ohio, is just west of the mouth of Euclid Creek, a small, flashy stream that drains approximately 23 square miles and is susceptible to periodic contamination from combined sewer overflows (CSOs; 190 and 189 events in 2018 and 2019, respectively). Concerns about high concentrations of <i>Escherichia coli</i> (<i>E</i>. <i>coli</i>) in water samples collected along this beach and subsequent frequent beach closures led to the collection of water-quality and water-velocity data in the nearshore area to gain insights into nearshore mixing processes, circulation, and the potential for transport of bacteria and other CSO-related contaminants from nearby sources to the beach. Synoptic surveys were completed by the U.S. Geological Survey on June 10–12, 2019, and August 19–21, 2019, to observe conditions during early and late periods of the summer season. This study follows several studies in this area. Data-collection methods for this study included deployment of an autonomous underwater vehicle and use of a manned boat equipped with an acoustic Doppler current profiler and a multiparameter sonde. Spatial distributions of water-quality constituents and nearshore currents indicated that the mixing zone near the mouth of Euclid Creek and Villa Angela Beach is dynamic and highly variable in spatial extent. Similar observations around the Easterly Wastewater Treatment Plant 1.5 miles to the southwest of Villa Angela Beach indicated a mixing zone that was likewise dynamic and highly variable in spatial extent. Observed circulation patterns during synoptic surveys in summer 2019 indicated that contaminants from CSOs in Euclid Creek and at CSO discharge points along the Lake Erie lakefront (as traced using specific conductance as a surrogate) tended to be transported differently depending on the magnitude and direction of winds and longshore currents. The southwesterly longshore current that was responsible for driving a recirculation pattern along the beach during a previous study in summer 2012 was not observed during the summer 2019 synoptic surveys. That was not surprising because continuous velocity data collected near Villa Angela Beach indicated that longshore currents with a northeasterly component occurred most (65 percent) of the time from June 12 to August 28, 2019.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20215122","collaboration":"Prepared in cooperation with the Northeast Ohio Regional Sewer District","usgsCitation":"Boldt, J.A., and Jackson, P.R., 2022, Circulation, mixing, and transport in nearshore Lake Erie in the vicinity of Villa Angela Beach and Euclid Creek, Cleveland, Ohio, June 10–12, 2019, and August 19–21, 2019: U.S. Geological Survey Scientific Investigations Report 2021–5122, 78 p., https://doi.org/10.3133/sir20215122.","productDescription":"Report: x, 77 p.; Data Release","numberOfPages":"92","onlineOnly":"Y","ipdsId":"IP-122040","costCenters":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":502125,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_112548.htm","linkFileType":{"id":5,"text":"html"}},{"id":396926,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P963OH6M","text":"USGS data release","linkHelpText":"Velocity surveys and three-dimensional point measurements of basic water-quality constituents in nearshore Lake Erie in the vicinity of Villa Angela Beach and Euclid Creek, Cleveland, Ohio, June 10–12, 2019, and August 19–21, 2019"},{"id":396925,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2021/5122/images"},{"id":396924,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2021/5122/sir20215122.XML"},{"id":396923,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2021/5122/sir20215122.pdf","text":"Report","size":"56.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021-5122"},{"id":396922,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2021/5122/coverthb.jpg"}],"country":"United States","state":"Ohio","city":"Cleveland","otherGeospatial":"Villa Angela Beach, Euclid Creek","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.61949157714844,\n              41.55381099217959\n            ],\n            [\n              -81.59923553466797,\n              41.54327642327762\n            ],\n            [\n              -81.5346908569336,\n              41.58463401188338\n            ],\n            [\n              -81.56044006347656,\n              41.603377487685165\n            ],\n            [\n              -81.61949157714844,\n              41.55381099217959\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a data-mce-href=\"https://www.usgs.gov/centers/oki-water\" href=\"https://www.usgs.gov/centers/oki-water\">Ohio-Kentucky-Indiana Water Science Center</a><br>U.S. Geological Survey<br>9818 Bluegrass Parkway<br>Louisville, KY 40299</p><p><a data-mce-href=\"../contact\" href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Data Collection</li><li>Data Processing</li><li>Observations</li><li>Summary</li><li>References Cited</li><li>Appendix 1. Supplemental Photographs</li></ul>","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"publishedDate":"2022-03-09","noUsgsAuthors":false,"publicationDate":"2022-03-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Boldt, Justin A. 0000-0002-0771-3658","orcid":"https://orcid.org/0000-0002-0771-3658","contributorId":207849,"corporation":false,"usgs":true,"family":"Boldt","given":"Justin","email":"","middleInitial":"A.","affiliations":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"preferred":true,"id":837667,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jackson, P. Ryan 0000-0002-3154-6108 pjackson@usgs.gov","orcid":"https://orcid.org/0000-0002-3154-6108","contributorId":194529,"corporation":false,"usgs":true,"family":"Jackson","given":"P.","email":"pjackson@usgs.gov","middleInitial":"Ryan","affiliations":[{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true},{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":837668,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70229466,"text":"70229466 - 2022 - Temporal variability in TiO2 engineered particle concentrations in rural Edisto River","interactions":[],"lastModifiedDate":"2022-03-09T16:28:20.101262","indexId":"70229466","displayToPublicDate":"2022-03-09T10:04:12","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1226,"text":"Chemosphere","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Temporal variability in TiO<sub>2</sub> engineered particle concentrations in rural Edisto River","title":"Temporal variability in TiO2 engineered particle concentrations in rural Edisto River","docAbstract":"<p id=\"abspara0010\">Titanium dioxide (TiO<sub>2</sub><span>) is widely used in engineered particles including engineered&nbsp;nanomaterial&nbsp;(ENM) and pigments, yet its occurrence, concentrations, temporal variability, and fate in natural environmental systems are poorly understood. For three years, we monitored TiO</span><sub>2</sub><span>&nbsp;</span>concentrations in a rural river basin (Edisto River, &lt; 1% urban land cover) in South Carolina, United States. The total concentrations of Ti, Nb, Al, Fe, Ce, and La in the Edisto River trended higher during spring/summer compared to autumn/winter. Upward trending Ti/Nb ratio in the spring/summer compared to near-background autumn/winter ratios of 255.7&nbsp;±&nbsp;8.9 indicated agricultural preparation and growing-season-related increases in TiO<sub>2</sub><span>&nbsp;</span>engineered particles. In contrast, downward trending of the Ti/Al and Ti/Fe ratios in the spring and summer compared to the near-background autumn/winter ratios of 0.05 indicated greater mobilization of Fe and Al, relative to Ti during spring/summer. Surface-water concentrations of TiO<sub>2</sub><span>&nbsp;</span>engineered particles varied between 0 and 128.7&nbsp;±&nbsp;3.9&nbsp;μg TiO<sub>2</sub><span>&nbsp;</span>L<sup>−1</sup>. Increases in TiO<sub>2</sub><span>&nbsp;concentrations over the spring/summer were associated with increases in phosphorus,&nbsp;orthophosphate, nitrate, ammonia, anthropogenic&nbsp;gadolinium, water temperature,&nbsp;suspended sediments,&nbsp;organic carbon, and alkalinity, and with decreases in dissolved oxygen. The association between these contaminants together with the timing of the increases in their concentrations is consistent with diffuse wastewater sources, such as reuse application overspray,&nbsp;biosolids&nbsp;fertilization, leaking sewers, or&nbsp;septic tanks, as the driver of instream concentrations; however, other&nbsp;diffuse sources&nbsp;cannot be ruled out. The findings of this study indicate spatially-distributed (non-point source) releases can result in high concentrations of TiO</span><sub>2</sub><span>&nbsp;engineered particles, which may pose higher risks to rural stream&nbsp;aquatic ecosystems&nbsp;during the agricultural season. The results illustrate the importance of monitoring seasonal variations in engineered particles concentrations in surface waters for a more representative assessment of ecosystem risk.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.chemosphere.2022.134091","usgsCitation":"Nabi, M., Wang, J., Journey, C., Bradley, P., and Baalousha, M., 2022, Temporal variability in TiO2 engineered particle concentrations in rural Edisto River: Chemosphere, v. 297, p. 1-9, https://doi.org/10.1016/j.chemosphere.2022.134091.","productDescription":"134091, 9 p.","startPage":"1","endPage":"9","ipdsId":"IP-130516","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":448537,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.chemosphere.2022.134091","text":"Publisher Index 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Center","active":true,"usgs":true},{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":true,"id":837552,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Baalousha, Mohammed 0000-0001-7491-4954","orcid":"https://orcid.org/0000-0001-7491-4954","contributorId":255450,"corporation":false,"usgs":false,"family":"Baalousha","given":"Mohammed","email":"","affiliations":[{"id":37804,"text":"University of South Carolina","active":true,"usgs":false}],"preferred":false,"id":837556,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70229449,"text":"70229449 - 2022 - Ten practical questions to improve data quality","interactions":[],"lastModifiedDate":"2022-03-09T16:02:56.452071","indexId":"70229449","displayToPublicDate":"2022-03-09T09:48:53","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3230,"text":"Rangelands","active":true,"publicationSubtype":{"id":10}},"title":"Ten practical questions to improve data quality","docAbstract":"<p id=\"p0005\">High-quality&nbsp;rangeland&nbsp;data are critical to supporting&nbsp;adaptive management. However, concrete, cost-saving steps to ensure data quality are often poorly defined and understood.</p><p id=\"p0010\">Data quality is more than data management. Ensuring data quality requires 1) clear communication among team members; 2) appropriate sample design; 3) training of data collectors, data managers, and data users; 4) observer and<span>&nbsp;</span>sensor calibration; and 5) active data management. Quality assurance and quality control are ongoing processes to help rangeland managers and scientists identify, prevent, and correct errors in past, current, and future monitoring data.</p><p id=\"p0015\">We present 10 guiding data quality questions to help managers and scientists identify appropriate workflows to improve data quality by 1) describing the data ecosystem, 2) creating a data quality plan, 3) identifying roles and responsibilities, 4) building data collection and data management workflows, 5) training and calibrating data collectors, 6) detecting and correcting errors, and 7) describing sources of variability.</p><p id=\"p0015a\">Iteratively improving rangeland data quality is a key part of adaptive monitoring and rangeland data collection. All members of the rangeland community are invited to participate in ensuring rangeland data quality.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.rala.2021.07.006","usgsCitation":"McCord, S.E., Welty, J.L., Courtwright, J., Dillon, C., Laurence-Traynor, A., Burnett, S.H., Courtright, E., Fults, G., Karl, J.W., Van Zee, J., Webb, N.P., and Tweedie, C.E., 2022, Ten practical questions to improve data quality: Rangelands, v. 44, no. 1, p. 17-28, https://doi.org/10.1016/j.rala.2021.07.006.","productDescription":"12 p.","startPage":"17","endPage":"28","ipdsId":"IP-123539","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":448539,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rala.2021.07.006","text":"Publisher Index Page"},{"id":396928,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"44","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"McCord, Sarah E.","contributorId":195931,"corporation":false,"usgs":false,"family":"McCord","given":"Sarah","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":837507,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Welty, Justin L. 0000-0001-7829-7324 jwelty@usgs.gov","orcid":"https://orcid.org/0000-0001-7829-7324","contributorId":4206,"corporation":false,"usgs":true,"family":"Welty","given":"Justin","email":"jwelty@usgs.gov","middleInitial":"L.","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":837508,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Courtwright, Jennifer 0000-0002-9864-8547","orcid":"https://orcid.org/0000-0002-9864-8547","contributorId":288137,"corporation":false,"usgs":false,"family":"Courtwright","given":"Jennifer","email":"","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":837509,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dillon, Catherine","contributorId":288138,"corporation":false,"usgs":false,"family":"Dillon","given":"Catherine","email":"","affiliations":[],"preferred":false,"id":837510,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Laurence-Traynor, Alexander","contributorId":288139,"corporation":false,"usgs":false,"family":"Laurence-Traynor","given":"Alexander","email":"","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":true,"id":837511,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Burnett, Sarah H.","contributorId":288140,"corporation":false,"usgs":false,"family":"Burnett","given":"Sarah","email":"","middleInitial":"H.","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":837512,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Courtright, Ericha M.","contributorId":169759,"corporation":false,"usgs":false,"family":"Courtright","given":"Ericha M.","affiliations":[{"id":25579,"text":"USDA-ARS Jornada Experimental Range, Las Cruces, NM 88003","active":true,"usgs":false}],"preferred":false,"id":837513,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fults, Gene","contributorId":288305,"corporation":false,"usgs":false,"family":"Fults","given":"Gene","email":"","affiliations":[{"id":39979,"text":"USDA Natural Resources Conservation Service, Portland, OR","active":true,"usgs":false}],"preferred":false,"id":837669,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Karl, Jason W.","contributorId":191703,"corporation":false,"usgs":false,"family":"Karl","given":"Jason","email":"","middleInitial":"W.","affiliations":[{"id":7045,"text":"USDA-ARS Jornada Experimental Range ","active":true,"usgs":false}],"preferred":false,"id":837514,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Van Zee, Justin W.","contributorId":169758,"corporation":false,"usgs":false,"family":"Van Zee","given":"Justin W.","affiliations":[{"id":25579,"text":"USDA-ARS Jornada Experimental Range, Las Cruces, NM 88003","active":true,"usgs":false}],"preferred":false,"id":837515,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Webb, Nicholas P.","contributorId":195924,"corporation":false,"usgs":false,"family":"Webb","given":"Nicholas","email":"","middleInitial":"P.","affiliations":[{"id":6973,"text":"USDA-ARS Jornada Experimental Range and Jornada Basin LTER, Las Cruces, NM; New Mexico State University, Dept. of Plant and Environmental Sciences, Las Cruces, NM","active":true,"usgs":false}],"preferred":false,"id":837516,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Tweedie, Craig E.","contributorId":200176,"corporation":false,"usgs":false,"family":"Tweedie","given":"Craig","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":837517,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70236698,"text":"70236698 - 2022 - Possible anthropogenic enhancement of precipitation in the Sahel-Sudan Savanna by remote agricultural irrigation","interactions":[],"lastModifiedDate":"2022-09-16T14:35:16.780446","indexId":"70236698","displayToPublicDate":"2022-03-09T09:30:01","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Possible anthropogenic enhancement of precipitation in the Sahel-Sudan Savanna by remote agricultural irrigation","docAbstract":"<p><span>The local climatic impacts of historical expansion of irrigation are substantial, but the distant impacts are poorly understood, and their governing mechanisms generally have not been rigorously analyzed. Our experiments with an earth-system model suggest that irrigation in the Middle East and South Asia may enhance rainfall in a large portion of the Sahel-Sudan Savanna (SSS) to an extent comparable and opposite to its suppression by other anthropogenic climate drivers during the last several decades. The enhancement arises through a reduction in the meridional gradient of moist static energy from the Sahara Desert to the tropical rainforests. An implication of this study is that remote irrigation is a possible factor affecting the risk of drought and famine and, thus, future water security in the SSS region.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2021GL096972","usgsCitation":"Zeng, Y., Milly, P.C., Shevliakova, E., Malyshev, S., von Huijgevoort, M., and Dunne, K.A., 2022, Possible anthropogenic enhancement of precipitation in the Sahel-Sudan Savanna by remote agricultural irrigation: Geophysical Research Letters, v. 49, no. 6, e2021GL096972, 10 p., https://doi.org/10.1029/2021GL096972.","productDescription":"e2021GL096972, 10 p.","ipdsId":"IP-110306","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":448541,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2021gl096972","text":"Publisher Index Page"},{"id":406840,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Sahel-Sudan Savanna","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -1,\n              10\n            ],\n            [\n              35,\n              10\n            ],\n            [\n              35,\n              20\n            ],\n            [\n              -1,\n              20\n            ],\n            [\n              -1,\n              10\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"49","issue":"6","noUsgsAuthors":false,"publicationDate":"2022-03-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Zeng, Yujin","contributorId":295884,"corporation":false,"usgs":false,"family":"Zeng","given":"Yujin","email":"","affiliations":[{"id":6644,"text":"Princeton University","active":true,"usgs":false}],"preferred":false,"id":851922,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Milly, Paul C. D. 0000-0003-4389-3139 cmilly@usgs.gov","orcid":"https://orcid.org/0000-0003-4389-3139","contributorId":176836,"corporation":false,"usgs":true,"family":"Milly","given":"Paul","email":"cmilly@usgs.gov","middleInitial":"C. D.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":false,"id":851923,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shevliakova, Elena","contributorId":201589,"corporation":false,"usgs":false,"family":"Shevliakova","given":"Elena","email":"","affiliations":[{"id":36211,"text":"GFDL/NOAA","active":true,"usgs":false}],"preferred":false,"id":851924,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Malyshev, Sergey","contributorId":201588,"corporation":false,"usgs":false,"family":"Malyshev","given":"Sergey","affiliations":[{"id":36211,"text":"GFDL/NOAA","active":true,"usgs":false}],"preferred":false,"id":851925,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"von Huijgevoort, Marjolein","contributorId":296590,"corporation":false,"usgs":false,"family":"von Huijgevoort","given":"Marjolein","email":"","affiliations":[{"id":64100,"text":"KWR (Netherlands)","active":true,"usgs":false}],"preferred":false,"id":851926,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dunne, Krista A. 0000-0002-1220-6140 kadunne@usgs.gov","orcid":"https://orcid.org/0000-0002-1220-6140","contributorId":203816,"corporation":false,"usgs":true,"family":"Dunne","given":"Krista","email":"kadunne@usgs.gov","middleInitial":"A.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":851927,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70229698,"text":"70229698 - 2022 - The Anthropocene as an event, not an epoch","interactions":[],"lastModifiedDate":"2022-04-12T13:44:02.986235","indexId":"70229698","displayToPublicDate":"2022-03-09T09:21:47","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2437,"text":"Journal of Quaternary Science","active":true,"publicationSubtype":{"id":10}},"title":"The Anthropocene as an event, not an epoch","docAbstract":"<p><span>Over the course of the last decade the concept of the Anthropocene has become widely established within and beyond the geoscientific literature but its boundaries remain undefined. Formal definition of the Anthropocene as a chronostratigraphical series and geochronological epoch following the Holocene, at a fixed horizon and with a precise global start date, has been proposed, but fails to account for the diachronic nature of human impacts on global environmental systems during the late Quaternary. By contrast, defining the Anthropocene as an ongoing geological&nbsp;</span><i>event</i><span>&nbsp;more closely reflects the reality of both historical and ongoing human–environment interactions, encapsulating spatial and temporal heterogeneity, as well as diverse social and environmental processes that characterize anthropogenic global changes. Thus, an Anthropocene Event incorporates a substantially wider range of anthropogenic environmental and cultural effects, while at the same time applying more readily in different academic contexts than would be the case with a rigidly defined Anthropocene Series/Epoch.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/jqs.3416","usgsCitation":"Gibbard, P., Walker, M.J., Bauer, A.M., Edgeworth, M., Edwards, L.E., Ellis, E.C., Finney, S.C., Gill, J.L., Maslin, M., Merritts, D., and Ruddiman, W.F., 2022, The Anthropocene as an event, not an epoch: Journal of Quaternary Science, v. 37, no. 3, p. 3995-399, https://doi.org/10.1002/jqs.3416.","productDescription":"5 p.","startPage":"3995","endPage":"399","ipdsId":"IP-135561","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":448543,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.17863/cam.82295","text":"External 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Wales","active":true,"usgs":false}],"preferred":false,"id":837982,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bauer, Andrew M","contributorId":268860,"corporation":false,"usgs":false,"family":"Bauer","given":"Andrew","email":"","middleInitial":"M","affiliations":[{"id":55699,"text":"Department of Anthropology, Stanford University, Stanford, CA 94305, USA","active":true,"usgs":false}],"preferred":false,"id":837983,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Edgeworth, Matthew","contributorId":268861,"corporation":false,"usgs":false,"family":"Edgeworth","given":"Matthew","email":"","affiliations":[{"id":55700,"text":"School of Archaeology and Ancient History, University of Leicester, Leicester LE1 7RH, UK","active":true,"usgs":false}],"preferred":false,"id":837984,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Edwards, Lucy E. 0000-0003-4075-3317 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Designed to meet the scientific needs of natural resource management agencies and the necessity for trained professionals in the growing field of wildlife management, the program has grown from the original 9 wildlife-only units to a program that today includes 41 Cooperative Fish and Wildlife Research Units located on university campuses in 39 States. The partnerships that form each unit are some of the USGS’s strongest links to Federal and State land and natural resource agencies as mandated by the Cooperative Research and Training Units Act of 1960 (P.L. 86–686). 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Appreciation</li><li>Exciting News!</li><li>About</li><li>Budget and Staffing</li><li>Mission</li><li>Productivity and Leveraging Resources</li><li>Graduate Education To Develop the Conservation Workforce</li><li>Applied Research To Meet Cooperators’ Science Needs</li><li>Technical Assistance to Cooperators</li><li>Diversity, Equity, Inclusion, and Accessibility</li><li>Stories From the Field</li><li>Awards</li><li>Acknowledgments</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2022-03-09","noUsgsAuthors":false,"publicationDate":"2022-03-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Childs, Dawn E. 0000-0001-8544-9517 dchilds@usgs.gov","orcid":"https://orcid.org/0000-0001-8544-9517","contributorId":211155,"corporation":false,"usgs":true,"family":"Childs","given":"Dawn","email":"dchilds@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":837488,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70255284,"text":"70255284 - 2022 - Greater than the sum of its parts: Computationally flexible Bayesian hierarchical modeling","interactions":[],"lastModifiedDate":"2024-06-14T13:43:23.197776","indexId":"70255284","displayToPublicDate":"2022-03-09T08:39:06","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9352,"text":"Journal of Agricultural, Biological and Environmental Statistics","active":true,"publicationSubtype":{"id":10}},"title":"Greater than the sum of its parts: Computationally flexible Bayesian hierarchical modeling","docAbstract":"<p><span>We propose a multistage method for making inference at all levels of a Bayesian hierarchical model (BHM) using natural data partitions to increase efficiency by allowing computations to take place in parallel form using software that is most appropriate for each data partition. The full hierarchical model is then approximated by the product of independent normal distributions for the data component of the model. In the second stage, the Bayesian maximum&nbsp;</span><i>a posteriori</i><span>&nbsp;(MAP) estimator is found by maximizing the approximated posterior density with respect to the parameters. If the parameters of the model can be represented as normally distributed random effects, then the second-stage optimization is equivalent to fitting a multivariate normal linear mixed model. We consider a third stage that updates the estimates of distinct parameters for each data partition based on the results of the second stage. The method is demonstrated with two ecological data sets and models, a generalized linear mixed effects model (GLMM) and an integrated population model (IPM). The multistage results were compared to estimates from models fit in single stages to the entire data set. In both cases, multistage results were very similar to a full MCMC analysis. Supplementary materials accompanying this paper appear online.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s13253-021-00485-9","usgsCitation":"Johnson, D., Brost, B., and Hooten, M., 2022, Greater than the sum of its parts: Computationally flexible Bayesian hierarchical modeling: Journal of Agricultural, Biological and Environmental Statistics, v. 27, https://doi.org/10.1007/s13253-021-00485-9.","productDescription":"19 p.","startPage":"400","ipdsId":"IP-123441","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":448547,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s13253-021-00485-9","text":"Publisher Index Page"},{"id":430203,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"27","edition":"382","noUsgsAuthors":false,"publicationDate":"2022-03-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Johnson, Devin S.","contributorId":337626,"corporation":false,"usgs":false,"family":"Johnson","given":"Devin S.","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":904099,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brost, Brian M.","contributorId":244504,"corporation":false,"usgs":false,"family":"Brost","given":"Brian M.","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":904100,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hooten, Mevin 0000-0002-1614-723X mhooten@usgs.gov","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":2958,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin","email":"mhooten@usgs.gov","affiliations":[{"id":12963,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO","active":true,"usgs":false},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":904098,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70229475,"text":"70229475 - 2022 - Nocturnal light-specific temporal partitioning facilitates coexistence for a small mesopredator, the eastern spotted skunk","interactions":[],"lastModifiedDate":"2022-03-09T14:52:16.282208","indexId":"70229475","displayToPublicDate":"2022-03-09T08:38:17","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2271,"text":"Journal of Ethology","active":true,"publicationSubtype":{"id":10}},"title":"Nocturnal light-specific temporal partitioning facilitates coexistence for a small mesopredator, the eastern spotted skunk","docAbstract":"Eastern spotted skunks are of conservation concern where competition and predation are a possible cause of their decline. Using camera traps at a food subsidy, we investigated nocturnal temporal overlap of spotted skunks with co-occurring predators. Spotted skunks were more active during dark nights, when their activity overlapped with the largest predator (coyotes), but not with other mesopredators, thus possibly avoiding interspecific competition. Spotted skunk activity shifted during moonlit nights where overlap with all predators reduced, suggesting avoidance of both predators and competitors. This implies that both predation and interspecific competition could limit spotted skunk populations, and one mechanism they apply to coexist is nocturnal light-specific temporal partitioning.","language":"English","publisher":"Springer","doi":"10.1007/s10164-021-00743-w","usgsCitation":"Marneweck, C.J., Forehand, C.R., Waggy, C.D., Harris, S.N., Katzner, T., and Jachowski, D., 2022, Nocturnal light-specific temporal partitioning facilitates coexistence for a small mesopredator, the eastern spotted skunk: Journal of Ethology, p. 1-6, https://doi.org/10.1007/s10164-021-00743-w.","productDescription":"6 p.","startPage":"1","endPage":"6","ipdsId":"IP-136146","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":396905,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"West Virginia","county":"Grant County, Pendleton 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Courtney J. 0000-0002-5064-1979","orcid":"https://orcid.org/0000-0002-5064-1979","contributorId":261261,"corporation":false,"usgs":false,"family":"Marneweck","given":"Courtney","email":"","middleInitial":"J.","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":837569,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Forehand, Cameron R.","contributorId":288217,"corporation":false,"usgs":false,"family":"Forehand","given":"Cameron","email":"","middleInitial":"R.","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":837570,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Waggy, Charles D.","contributorId":288219,"corporation":false,"usgs":false,"family":"Waggy","given":"Charles","email":"","middleInitial":"D.","affiliations":[{"id":40299,"text":"West Virginia Division of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":837571,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harris, Stephen N.","contributorId":270598,"corporation":false,"usgs":false,"family":"Harris","given":"Stephen","email":"","middleInitial":"N.","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":837572,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Katzner, Todd E. 0000-0003-4503-8435 tkatzner@usgs.gov","orcid":"https://orcid.org/0000-0003-4503-8435","contributorId":191353,"corporation":false,"usgs":true,"family":"Katzner","given":"Todd E.","email":"tkatzner@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":837573,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jachowski, David S.","contributorId":228814,"corporation":false,"usgs":false,"family":"Jachowski","given":"David S.","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":837574,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70230166,"text":"70230166 - 2022 - Maximizing species distribution model performance when using historical occurrences and variables of varying persistency","interactions":[],"lastModifiedDate":"2022-04-01T22:02:19.08828","indexId":"70230166","displayToPublicDate":"2022-03-09T08:07:23","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Maximizing species distribution model performance when using historical occurrences and variables of varying persistency","docAbstract":"<p><span>Occurrence data used to build species distribution models often include historical records from locations in which the species no longer exists. When these records are paired with contemporary environmental values that no longer represent the conditions the species experienced, the model creates false associations that hurt predictive performance. The extent of mismatching increases with the number of historical occurrences and with inclusion of environmental variables that are prone to change over time. Indeed, the mismatch between occurrence data and contemporaneous environmental variables is a common dilemma when modeling rare or cryptic species, especially those of conservation concern that were once more abundant. Herein, we assess (1) the impact of historical occurrences on model performance across three sets of environmental variables of increasing persistency and (2) the performance of models built using selected-historical occurrences from locations that showed evidence of limited environmental change over time. Concepts are tested on federally listed flatwoods salamanders, reflecting real-world conservation management efforts. We predicted that, compared to other occurrence sets, (1) historical occurrences would perform best with environmental variables that were more persistent, (2) recent occurrences would perform best when the environmental variables were more impersistent, and that (3) our selected-historical occurrences would perform best with a combination of persistent and impersistent variables. Our results showed the expected inversion of model performance of recent and historical occurrences across environmental variables of increasing persistency when evaluated by correct predictions. However, the inversion was not seen in area under the curve performance, in which historical occurrences outperformed recent occurrence models across all variable sets. Selected-historical occurrences did not notably improve performance over all-historical occurrences in any metric or variable set. To maximize utility and performance, modelers could acknowledge potential trade-offs from inclusion of historical occurrences and consider number and age of recent and historical occurrences available, the persistency of environmental variables considered, and how their conservation goals are reflected in model design and evaluation, particularly with respect to sensitivity versus specificity. Our study lends support for inclusion of historical occurrences, with the potential exception of mostly impersistent variables when sensitivity is the highest priority.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.3951","usgsCitation":"Bracken, J.T., Davis, A., O’Donnell, K., Barichivich, W., Walls, S., and Jezkova, T., 2022, Maximizing species distribution model performance when using historical occurrences and variables of varying persistency: Ecosphere, v. 13, no. 3, e3951, 13 p., https://doi.org/10.1002/ecs2.3951.","productDescription":"e3951, 13 p.","ipdsId":"IP-126905","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":489148,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.3951","text":"Publisher Index Page"},{"id":397930,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Florida, Georgia, South Carolina","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -88.4619140625,\n              30.391830328088137\n            ],\n            [\n              -87.62695312499999,\n              30.107117887092357\n            ],\n            [\n              -86.8359375,\n              30.240086360983426\n            ],\n            [\n              -85.97900390625,\n              30.06909396443887\n            ],\n            [\n              -85.517578125,\n              29.592565403314087\n            ],\n            [\n              -84.9462890625,\n              29.516110386062277\n            ],\n            [\n              -84.111328125,\n              29.954934549656144\n            ],\n            [\n              -83.27636718749999,\n              29.209713225868185\n            ],\n            [\n              -82.79296874999999,\n              28.786918085420226\n            ],\n            [\n              -83.07861328125,\n              28.013801376380712\n            ],\n            [\n              -82.96875,\n              27.702983735525862\n            ],\n            [\n              -80.52978515625,\n              28.265682390146477\n            ],\n            [\n              -80.419921875,\n              28.555576049185973\n            ],\n            [\n              -80.79345703125,\n              28.92163128242129\n            ],\n            [\n              -81.474609375,\n              30.80791068136646\n            ],\n            [\n              -80.88134765625,\n              31.98944183792288\n            ],\n            [\n              -79.89257812499999,\n              32.54681317351514\n            ],\n            [\n              -79.189453125,\n              33.063924198120645\n            ],\n            [\n              -78.59619140625,\n              33.90689555128866\n            ],\n            [\n              -88.41796875,\n              32.93492866908233\n            ],\n            [\n              -88.52783203125,\n              31.82156451492074\n            ],\n            [\n              -88.4619140625,\n              30.391830328088137\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"13","issue":"3","noUsgsAuthors":false,"publicationDate":"2022-03-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Bracken, Jason T.","contributorId":289570,"corporation":false,"usgs":false,"family":"Bracken","given":"Jason","email":"","middleInitial":"T.","affiliations":[{"id":16608,"text":"Miami University","active":true,"usgs":false}],"preferred":false,"id":839350,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Davis, Amelie Y.","contributorId":289572,"corporation":false,"usgs":false,"family":"Davis","given":"Amelie Y.","affiliations":[{"id":16608,"text":"Miami University","active":true,"usgs":false}],"preferred":false,"id":839351,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O’Donnell, Katherine M. 0000-0001-9023-174X kmodonnell@usgs.gov","orcid":"https://orcid.org/0000-0001-9023-174X","contributorId":176897,"corporation":false,"usgs":true,"family":"O’Donnell","given":"Katherine M.","email":"kmodonnell@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":839352,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barichivich, William 0000-0003-1103-6861","orcid":"https://orcid.org/0000-0003-1103-6861","contributorId":215988,"corporation":false,"usgs":true,"family":"Barichivich","given":"William","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":839353,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Walls, Susan C. 0000-0001-7391-9155","orcid":"https://orcid.org/0000-0001-7391-9155","contributorId":3055,"corporation":false,"usgs":true,"family":"Walls","given":"Susan C.","affiliations":[],"preferred":true,"id":839354,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jezkova, Tereza","contributorId":209721,"corporation":false,"usgs":false,"family":"Jezkova","given":"Tereza","email":"","affiliations":[{"id":16608,"text":"Miami University","active":true,"usgs":false}],"preferred":false,"id":839355,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70237671,"text":"70237671 - 2022 - Nitrogen enrichment during soil organic matter burning and molecular evidence of maillard reactions","interactions":[],"lastModifiedDate":"2022-10-18T12:10:10.750448","indexId":"70237671","displayToPublicDate":"2022-03-09T07:05:45","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5925,"text":"Environmental Science and Technology","active":true,"publicationSubtype":{"id":10}},"title":"Nitrogen enrichment during soil organic matter burning and molecular evidence of maillard reactions","docAbstract":"<div class=\"container container_scaled-down\"><div class=\"row\"><div class=\"col-xs-12\"><div id=\"abstractBox\" class=\"article_abstract-content hlFld-Abstract\"><p class=\"articleBody_abstractText\">Wildfires in forested watersheds dramatically alter stored and labile soil organic matter (SOM) pools and the export of dissolved organic matter (DOM). Ecosystem recovery after wildfires depends on soil microbial communities and revegetation and therefore is limited by the availability of nutrients, such as nitrogen-containing and labile, water-soluble compounds. However, SOM byproducts produced at different wildfire intensities are poorly understood, leading to difficulties in assessing wildfire severity and predicting ecosystem recovery. In this work, water-extractable organic matter (WEOM) from laboratory microcosms of soil burned at discrete temperatures was characterized by ultrahigh-resolution Fourier transform ion cyclotron resonance mass spectrometry to study the impacts of fire temperature on SOM and DOM composition. The molecular composition derived from different burn temperatures indicated that nitrogen-containing byproducts were enriched with heating and composed of a wide range of aromatic features and oxidation states. Mass difference-based analysis also suggested that products formed during heating could be modeled using transformations along the Maillard reaction pathway. The enrichment of N-containing SOM and DOM at different soil burning intensities has important implications for ecosystem recovery and downstream water quality.</p></div></div></div></div>","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.1c06745","usgsCitation":"Bahureksa, W., Young, R.B., McKenna, A.M., Chen, H., Thorn, K., Rosario-Ortiz, F.L., and Borch, T., 2022, Nitrogen enrichment during soil organic matter burning and molecular evidence of maillard reactions: Environmental Science and Technology, v. 56, no. 7, p. 4597-4609, https://doi.org/10.1021/acs.est.1c06745.","productDescription":"13 p.","startPage":"4597","endPage":"4609","ipdsId":"IP-135387","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":408466,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"56","issue":"7","noUsgsAuthors":false,"publicationDate":"2022-03-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Bahureksa, William","contributorId":298031,"corporation":false,"usgs":false,"family":"Bahureksa","given":"William","email":"","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":854926,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Young, Robert B.","contributorId":298032,"corporation":false,"usgs":false,"family":"Young","given":"Robert","email":"","middleInitial":"B.","affiliations":[{"id":12628,"text":"New Mexico State University","active":true,"usgs":false}],"preferred":false,"id":854927,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McKenna, Amy M.","contributorId":298033,"corporation":false,"usgs":false,"family":"McKenna","given":"Amy","email":"","middleInitial":"M.","affiliations":[{"id":7092,"text":"Florida State University","active":true,"usgs":false}],"preferred":false,"id":854928,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chen, Huan","contributorId":298034,"corporation":false,"usgs":false,"family":"Chen","given":"Huan","email":"","affiliations":[{"id":7092,"text":"Florida State University","active":true,"usgs":false}],"preferred":false,"id":854929,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thorn, Kevin A. 0000-0003-2236-5193","orcid":"https://orcid.org/0000-0003-2236-5193","contributorId":220016,"corporation":false,"usgs":true,"family":"Thorn","given":"Kevin A.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":854930,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rosario-Ortiz, Fernando L.","contributorId":240990,"corporation":false,"usgs":false,"family":"Rosario-Ortiz","given":"Fernando","email":"","middleInitial":"L.","affiliations":[{"id":36627,"text":"University of Colorado, Boulder","active":true,"usgs":false}],"preferred":false,"id":854931,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Borch, Thomas","contributorId":195631,"corporation":false,"usgs":false,"family":"Borch","given":"Thomas","email":"","affiliations":[],"preferred":false,"id":854932,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70229522,"text":"70229522 - 2022 - Linkages between land-use change and groundwater management foster long-term resilience of water supply in California","interactions":[],"lastModifiedDate":"2022-03-11T13:00:26.592646","indexId":"70229522","displayToPublicDate":"2022-03-09T06:56:14","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3823,"text":"Journal of Hydrology: Regional Studies","active":true,"publicationSubtype":{"id":10}},"title":"Linkages between land-use change and groundwater management foster long-term resilience of water supply in California","docAbstract":"<div id=\"ab0010\" class=\"abstract author\"><div id=\"abs0010\"><h3 id=\"sect0010\" class=\"u-h4 u-margin-m-top u-margin-xs-bottom\">Study Region</h3><p id=\"sp0050\"><span>We created a 270-m coupled model of land-use and groundwater conditions, LUCAS-W[ater], for California’s Central Coast. This groundwater-dependent region is undergoing a dramatic reorganization of&nbsp;groundwater management&nbsp;under California’s 2014&nbsp;</span>Sustainable Groundwater Management<span>&nbsp;</span>Act (SGMA).</p></div><div id=\"abs0015\"><h3 id=\"sect0015\" class=\"u-h4 u-margin-m-top u-margin-xs-bottom\">Study Focus</h3><p id=\"sp0055\">Understanding land-use and land-cover change supports long-term sustainable water management. Anthropogenic water demand has depleted groundwater<span>&nbsp;</span>aquifers<span>&nbsp;worldwide, while future&nbsp;water shortages&nbsp;will likely affect land-use change, creating system feedbacks. Our novel participatory approach fused changes in land-use and associated water use from county-scale data to local water agencies’ estimates of total sustainable supply, scaling up local hydro-geologic knowledge from heterogeneous aquifers and diverse management approaches to a regional level. We assessed five stakeholder-driven scenarios with the same historic rates of urban and agricultural land-use change, but different water and land-use management, analyzing how management strategies altered both the spatial pattern of development and subsequent water&nbsp;sustainability&nbsp;from 2001 to 2061.</span></p></div><div id=\"abs0020\"><h3 id=\"sect0020\" class=\"u-h4 u-margin-m-top u-margin-xs-bottom\">New Hydrological Insights for the Region</h3><p id=\"sp0060\">Transformative strategies using demand-side interventions that coupled water availability to land-use more effectively achieved long-term sustainability than adaptive strategies using supply-side interventions to increase water supplies. Limiting water withdrawals within SGMA regulated basins resulted in<span>&nbsp;</span>leakage<span>&nbsp;</span>of development into unregulated basins, increasing groundwater pumping there. Protecting ecosystems, farmlands, and recharge areas from development reduced leakage into undeveloped basins without negatively affecting water sustainability.</p></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ejrh.2022.101056","usgsCitation":"Van Schmidt, N.D., Wilson, T., and Langridge, R., 2022, Linkages between land-use change and groundwater management foster long-term resilience of water supply in California: Journal of Hydrology: Regional Studies, v. 40, 101056, 20 p., https://doi.org/10.1016/j.ejrh.2022.101056.","productDescription":"101056, 20 p.","ipdsId":"IP-127997","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":448552,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ejrh.2022.101056","text":"Publisher Index Page"},{"id":435931,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9209XW4","text":"USGS data release","linkHelpText":"Projections of 5 coupled scenarios of land-use change and groundwater sustainability for California's Central Coast (2001-2061) - LUCAS-W model"},{"id":397014,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.48632812499999,\n              33.61461929233378\n            ],\n            [\n              -118.87207031250001,\n              33.61461929233378\n            ],\n            [\n              -118.87207031250001,\n              38.30718056188316\n            ],\n            [\n              -123.48632812499999,\n              38.30718056188316\n            ],\n            [\n              -123.48632812499999,\n              33.61461929233378\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"40","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Van Schmidt, Nathan D. 0000-0002-5973-7934","orcid":"https://orcid.org/0000-0002-5973-7934","contributorId":240648,"corporation":false,"usgs":false,"family":"Van Schmidt","given":"Nathan","middleInitial":"D.","affiliations":[{"id":32898,"text":"U.C. Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":837735,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilson, Tamara 0000-0001-7399-7532 tswilson@usgs.gov","orcid":"https://orcid.org/0000-0001-7399-7532","contributorId":2975,"corporation":false,"usgs":true,"family":"Wilson","given":"Tamara","email":"tswilson@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":837736,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Langridge, Ruth 0000-0001-5320-8882","orcid":"https://orcid.org/0000-0001-5320-8882","contributorId":240649,"corporation":false,"usgs":false,"family":"Langridge","given":"Ruth","email":"","affiliations":[{"id":32898,"text":"U.C. Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":837737,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70249205,"text":"70249205 - 2022 - Advanced distributed acoustic sensing vertical seismic profile imaging of an Alaska North Slope gas hydrate field","interactions":[],"lastModifiedDate":"2023-10-02T11:51:53.40932","indexId":"70249205","displayToPublicDate":"2022-03-09T06:48:29","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":12564,"text":"Journal of Energy and Fuels","active":true,"publicationSubtype":{"id":10}},"title":"Advanced distributed acoustic sensing vertical seismic profile imaging of an Alaska North Slope gas hydrate field","docAbstract":"<div id=\"abstractBox\" class=\"article_abstract-content hlFld-Abstract\"><p class=\"articleBody_abstractText\">Gas hydrates are found in significant quantities on the North Slope of Alaska in subpermafrost sand units and intermixed in lower portions of permafrost within the hydrate stability window. While conventional surface seismic data and established imaging methods can indicate the presence of gas hydrate reservoirs, producing high-resolution images of (seismically) thin layers remains challenging due to the preferential attenuation of the higher-frequency data components. An alternative strategy is to use distributed acoustic sensing (DAS) involving cementing optical fibers into boreholes to measure seismic wavefield energy closer to the strata of interest using vertical seismic profiling (VSP). DAS VSP imaging takes advantage of the shorter travel paths and reduced attenuation to generate higher-resolution near-well images. We illustrate these benefits on a DAS VSP data set acquired at the Hydrate-01 stratigraphic test well located in the Prudhoe Bay Unit of Alaska where significant gas hydrate deposits have been detected in two subpermafrost sand layers that are intended for long-duration production testing. Our DAS data preprocessing workflow effectively isolates the upgoing compressional-wave (P-wave) reflections required for subsurface acoustic imaging. After applying three-dimensional (3-D) tomography to improve the quality of the 3-D migration velocity model, we use 3-D reverse-time migration (RTM) to develop high-quality images of the two target sands and minor near-well faulting. We validate our RTM images through highly accurate well-ties with previously acquired petrophysical log data. This study demonstrates that combining 3-D RTM imaging with DAS VSP data provides significant value to gas hydrate and similar projects, and it suggests that more advanced inversion approaches such as (elastic) least-squares RTM could recover higher-resolution and more quantitative estimates of subsurface reflectivity, which would be valuable for refining the understanding of gas hydrate systems.</p></div>","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.energyfuels.1c04102","usgsCitation":"Young, C., Shragge, J., Shultz, W., Haines, S.S., Oren, C., Simmons, J., and Collett, T., 2022, Advanced distributed acoustic sensing vertical seismic profile imaging of an Alaska North Slope gas hydrate field: Journal of Energy and Fuels, v. 36, no. 7, p. 3481-3495, https://doi.org/10.1021/acs.energyfuels.1c04102.","productDescription":"15 p.","startPage":"3481","endPage":"3495","ipdsId":"IP-134725","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":448555,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.energyfuels.1c04102","text":"Publisher Index Page"},{"id":421454,"type":{"id":24,"text":"Thumbnail"},"url":"https://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              -148.26870160295778,\n              70.51285757512085\n            ],\n            [\n              -148.26870160295778,\n              68.72328712297366\n            ],\n            [\n              -143.12710004045758,\n              68.72328712297366\n            ],\n            [\n              -143.12710004045758,\n              70.51285757512085\n            ],\n            [\n              -148.26870160295778,\n              70.51285757512085\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"36","issue":"7","noUsgsAuthors":false,"publicationDate":"2022-03-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Young, Cullen","contributorId":330375,"corporation":false,"usgs":false,"family":"Young","given":"Cullen","email":"","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":884800,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shragge, Jeffrey","contributorId":330376,"corporation":false,"usgs":false,"family":"Shragge","given":"Jeffrey","email":"","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":884801,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shultz, Whitney","contributorId":330377,"corporation":false,"usgs":false,"family":"Shultz","given":"Whitney","email":"","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":884802,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haines, Seth S. 0000-0003-2611-8165 shaines@usgs.gov","orcid":"https://orcid.org/0000-0003-2611-8165","contributorId":1344,"corporation":false,"usgs":true,"family":"Haines","given":"Seth","email":"shaines@usgs.gov","middleInitial":"S.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":884803,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Oren, Can","contributorId":330378,"corporation":false,"usgs":false,"family":"Oren","given":"Can","email":"","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":884804,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Simmons, James","contributorId":330379,"corporation":false,"usgs":false,"family":"Simmons","given":"James","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":884805,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Collett, Timothy 0000-0002-7598-4708","orcid":"https://orcid.org/0000-0002-7598-4708","contributorId":220806,"corporation":false,"usgs":true,"family":"Collett","given":"Timothy","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":884806,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70248823,"text":"70248823 - 2022 - Geochemical and palaeomagnetic characteristics of the Vestfold Hills mafic dykes in the Prydz Bay region: implications of a Paleoproterozoic connection between East Antarctica and Proto-India","interactions":[],"lastModifiedDate":"2023-09-22T11:38:13.295718","indexId":"70248823","displayToPublicDate":"2022-03-09T06:36:55","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1791,"text":"Geological Society, London, Special Publications","active":true,"publicationSubtype":{"id":10}},"title":"Geochemical and palaeomagnetic characteristics of the Vestfold Hills mafic dykes in the Prydz Bay region: implications of a Paleoproterozoic connection between East Antarctica and Proto-India","docAbstract":"The Archean age granite gneiss basement along the Prydz Bay coastline in East Antarctica hosts north–south-, east–west-, NE–SW- and NW–SE-trending mafic dyke swarms in the Vestfold Hills region that intruded between 2420 and 1250 Ma. The dyke trends do not show a direct correlation with the dyke geochemistry but can be broadly discriminated into high-Mg and Fe-rich tholeiites. The former type are more siliceous, are enriched in large ion lithophile elements (LILEs), high field strength elements (HFSEs) and light REEs (LREEs), and crystallized from a fractionated melt with a notable crustal component or fluid enrichment\nthrough the previous subduction process. The Fe-rich tholeiites are less siliceous, have lower abundances of LILEs and REEs, and were derived from an undifferentiated, primitive melt. The geochemical characteristics of both types underline a shallow level and a high degree of melting in the majority of cases, and a broadly island arc basalt (IAB) affinity. Palaeomagnetic analysis of hand samples shows directional groups consistent with geochemical groupings. The Vestfold Hills dykes show a possible linkage with the coeval mafic dykes in the Eastern Dharwar and Bastar cratons of the South Indian Block, based on the similarity in the Paleoproterozoic palaeolatitudes","language":"English","publisher":"The Geological Society of London","doi":"10.1144/SP518-2021-33","usgsCitation":"Pandit, M.K., Pivarunas, A.F., and Meert, J.G., 2022, Geochemical and palaeomagnetic characteristics of the Vestfold Hills mafic dykes in the Prydz Bay region: implications of a Paleoproterozoic connection between East Antarctica and Proto-India: Geological Society, London, Special Publications, v. 518, p. 149-171, https://doi.org/10.1144/SP518-2021-33.","productDescription":"23 p.","startPage":"149","endPage":"171","ipdsId":"IP-130880","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":421060,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"518","noUsgsAuthors":false,"publicationDate":"2021-10-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Pandit, Manoj K. 0000-0002-0404-3337","orcid":"https://orcid.org/0000-0002-0404-3337","contributorId":329971,"corporation":false,"usgs":false,"family":"Pandit","given":"Manoj","email":"","middleInitial":"K.","affiliations":[{"id":78752,"text":"University of Rajasthan","active":true,"usgs":false}],"preferred":false,"id":883794,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pivarunas, Anthony Francis 0000-0002-0003-2059","orcid":"https://orcid.org/0000-0002-0003-2059","contributorId":301014,"corporation":false,"usgs":true,"family":"Pivarunas","given":"Anthony","email":"","middleInitial":"Francis","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":883795,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Meert, Joseph G","contributorId":329995,"corporation":false,"usgs":false,"family":"Meert","given":"Joseph","email":"","middleInitial":"G","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":883796,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70229420,"text":"fs20223013 - 2022 - Idaho and Landsat","interactions":[],"lastModifiedDate":"2023-01-24T11:53:25.232694","indexId":"fs20223013","displayToPublicDate":"2022-03-08T14:00:42","publicationYear":"2022","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":"2022-3013","displayTitle":"Idaho and Landsat","title":"Idaho and Landsat","docAbstract":"<p>Idaho may be popular for potatoes, but the State’s richness also lies in its scenery and natural resources. Its terrain varies from mountains, rivers, and waterfalls to forests, volcanic rock, and hot springs. A growing population gives Idaho even more reason to use the best information available to serve the needs of its residents while wisely managing its environment and natural resources.</p><p>Soon after the first Landsat satellite launched, Idaho recognized how useful its data could be. In 1975, the Idaho Department of Water Resources started using data from Landsat 1 and has since used data from every subsequent Landsat satellite.</p><p>Here is a closer look at Landsat as a key tool for monitoring water, along with other examples of Landsat’s value to Idaho.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20223013","usgsCitation":"U.S. Geological Survey, 2022, Idaho and Landsat (ver. 1.1, January 2023): U.S. Geological Survey Fact Sheet 2022–3013, 2 p., https://doi.org/10.3133/fs20223013.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"N","ipdsId":"IP-126131","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) 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 \"}}]}","edition":"Version 1.0: March 8, 2022; Version 1.1: January 23, 2023","contact":"<p>Program Coordinator, <a data-mce-href=\"https://www.usgs.gov/core-science-systems/national-land-imaging-program\" href=\"https://www.usgs.gov/core-science-systems/national-land-imaging-program\">National Land Imaging Program</a> <br>U.S. Geological Survey <br>12201 Sunrise Valley Drive <br>Reston, VA 20192</p><p><a data-mce-href=\"../contact\" href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Water Management in Agriculture</li><li>Rangeland Wildfires</li><li>Wildlife Habitat</li><li>Landsat—Critical Information Infrastructure for the Nation</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2022-03-08","revisedDate":"2023-01-23","noUsgsAuthors":false,"publicationDate":"2022-03-08","publicationStatus":"PW","contributors":{"authors":[{"text":"U.S. Geological Survey","contributorId":128240,"corporation":true,"usgs":false,"organization":"U.S. Geological Survey","id":837355,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70229445,"text":"ofr20221019 - 2022 - The effects of requested flows for native fish on sediment dynamics, geomorphology, and riparian vegetation for the Green River in Canyonlands National Park, Utah","interactions":[],"lastModifiedDate":"2026-03-27T19:58:55.274086","indexId":"ofr20221019","displayToPublicDate":"2022-03-08T12:53:10","publicationYear":"2022","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":"2022-1019","displayTitle":"The Effects of Requested Flows for Native Fish on Sediment Dynamics, Geomorphology, and Riparian Vegetation for the Green River in Canyonlands National Park, Utah","title":"The effects of requested flows for native fish on sediment dynamics, geomorphology, and riparian vegetation for the Green River in Canyonlands National Park, Utah","docAbstract":"<p>Releases of water from Flaming Gorge Dam together with climate-related variations in runoff determine the streamflow regime of the Green River, which affects the physical characteristics of the channel and riparian ecosystem of the Green River corridor in Canyonlands National Park. The dam has decreased peak streamflows and raised base streamflows, resulting in vegetation encroachment and channel narrowing and simplification, which could be detrimental to endangered fish habitats over time. Operations of Flaming Gorge Dam are in part determined by flow recommendations provided by the Upper Colorado River Basin Endangered Fish Recovery Program that are designed to benefit native fish and disadvantage nonnative fish. These recommendations alone may not be sufficient to prevent channel narrowing and simplification. Increases in base flows may contribute to channel narrowing and simplification by increasing the water available to riparian vegetation and reducing the water volume available for increasing peak-flow magnitude or duration This report describes how proposed revisions to these flow recommendations would affect the physical characteristics of the Green River corridor in Canyonlands National Park, with a focus on riparian vegetation and channel width.</p><p>Hydrologic conditions for the Green River downstream from Flaming Gorge Dam are classified by the U.S. Department of the Interior Bureau of Reclamation as dry, moderately dry, average, moderately wet, or wet. The flow recommendations for peak-flow magnitude and duration in wet years are consistent with geomorphic objectives and historical post-dam flows. In moderately wet years, although the recommended peaks may be sufficient to prevent narrowing over the short term, these peaks are lower than historical post-dam peak flows for moderately wet years and could therefore allow reduction in the occasional large peaks necessary to maintain sediment mobility and channel complexity. For average and drier years, the recommendations allow, but do not require, peak-flow magnitude and durations that are likely to achieve geomorphic objectives.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20221019","collaboration":"Prepared in cooperation with Canyonlands National Park","usgsCitation":"Grams, P.E., Friedman, J.M., Dean, D.J., and Topping, D.J., 2022, The effects of requested flows for native fish on sediment dynamics, geomorphology, and riparian vegetation for the Green River in Canyonlands National Park, Utah: U.S. Geological Survey Open-File Report 2022–1019, 20 p., https://doi.org/10.3133/ofr20221019.","productDescription":"vi, 20 p.","numberOfPages":"20","onlineOnly":"Y","ipdsId":"IP-126163","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":501764,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_112531.htm","linkFileType":{"id":5,"text":"html"}},{"id":396864,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2022/1019/ofr20221019.pdf","text":"Report","size":"5 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":396863,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2022/1019/covrthb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"Green River, Canyonlands National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -110.4730224609375,\n              38.19502155795575\n            ],\n            [\n              -109.64630126953125,\n              38.19502155795575\n            ],\n            [\n              -109.64630126953125,\n              39.1833042481843\n            ],\n            [\n              -110.4730224609375,\n              39.1833042481843\n            ],\n            [\n              -110.4730224609375,\n              38.19502155795575\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<div class=\"street-block\"><div class=\"thoroughfare\"><a href=\"https://www.usgs.gov/centers/sbsc\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/sbsc\">Southwest Biological Science Center</a></div><div class=\"thoroughfare\"><a href=\"https://www.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/\">U.S. Geological Survey</a></div><div class=\"thoroughfare\">2255 N. Gemini Drive</div></div><div class=\"addressfield-container-inline locality-block country-US\"><span class=\"locality\">Flagstaff</span>,&nbsp;<span class=\"state\">AZ</span>&nbsp;<span class=\"postal-code\">86001</span></div>","tableOfContents":"<ul><li>Acknowledgments&nbsp;&nbsp;</li><li>Abstract&nbsp;&nbsp;</li><li>Introduction&nbsp;&nbsp;</li><li>Flow Variability, Channel Narrowing, and Riparian Vegetation&nbsp;&nbsp;</li><li>Hydrology and Hydrologic Condition&nbsp;&nbsp;</li><li>Assessment of flow recommendations&nbsp;&nbsp;</li><li>Summary&nbsp;&nbsp;</li><li>References Cited&nbsp;&nbsp;</li><li>Appendix 1—Estimating Hydrologic Condition 1931–1992</li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2022-03-08","noUsgsAuthors":false,"publicationDate":"2022-03-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Grams, Paul E. 0000-0002-0873-0708 pgrams@usgs.gov","orcid":"https://orcid.org/0000-0002-0873-0708","contributorId":1830,"corporation":false,"usgs":true,"family":"Grams","given":"Paul","email":"pgrams@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":837456,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Friedman, Jonathan M. 0000-0002-1329-0663 friedmanj@usgs.gov","orcid":"https://orcid.org/0000-0002-1329-0663","contributorId":2473,"corporation":false,"usgs":true,"family":"Friedman","given":"Jonathan","email":"friedmanj@usgs.gov","middleInitial":"M.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":837457,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dean, David J. 0000-0003-0203-088X djdean@usgs.gov","orcid":"https://orcid.org/0000-0003-0203-088X","contributorId":131047,"corporation":false,"usgs":true,"family":"Dean","given":"David","email":"djdean@usgs.gov","middleInitial":"J.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":837458,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Topping, David J. 0000-0002-2104-4577 dtopping@usgs.gov","orcid":"https://orcid.org/0000-0002-2104-4577","contributorId":197244,"corporation":false,"usgs":true,"family":"Topping","given":"David J.","email":"dtopping@usgs.gov","affiliations":[],"preferred":true,"id":837459,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70229443,"text":"fs20223014 - 2022 - Virtual training prepared for the former Afghanistan Ministry of Energy and Water—Streamgaging, fluvial sediment sampling, bathymetry, and streamflow and sediment modeling","interactions":[],"lastModifiedDate":"2022-03-09T11:32:28.159581","indexId":"fs20223014","displayToPublicDate":"2022-03-08T11:59:04","publicationYear":"2022","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":"2022-3014","displayTitle":"Virtual Training Prepared for the Former Afghanistan Ministry of Energy and Water—Streamgaging, Fluvial Sediment Sampling, Bathymetry, and Streamflow and Sediment Modeling","title":"Virtual training prepared for the former Afghanistan Ministry of Energy and Water—Streamgaging, fluvial sediment sampling, bathymetry, and streamflow and sediment modeling","docAbstract":"<p>The U.S. Geological Survey (USGS) created a virtual training series for the Afghanistan Ministry of Energy and Water (MEW), now known as the National Water Affairs Regulation Authority (NWARA), to provide critical hydrological training as an alternative to an in-person training. The USGS was scheduled to provide in-person surface-water training for NWARA during 2020; however, travel was halted because of the Coronavirus disease 2019 (COVID–19) pandemic. The virtual training consisted of prerecorded and live presentations that were scheduled during 4 weeks in August 2021. However, the training was halted after the second week due to the collapse of the Afghan Government. Fortunately, the prerecorded presentations and training materials were delivered before the trainings were halted, so they can be viewed or shared by the participants in the future. A benefit to having produced prerecorded trainings is that USGS can leverage or adapt the trainings for nongovernmental organizations (NGOs) involved in humanitarian water relief efforts in Afghanistan or can be used for other international training efforts.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20223014","collaboration":"Prepared in cooperation with U.S. Agency for International Development","usgsCitation":"Groten, J.T., Valder, J.F., Densmore, B.K., Neal, L.W., Krahulik, J., and Mack, T.J., 2022, Virtual training prepared for the former Afghanistan Ministry of Energy and Water—Streamgaging, fluvial sediment sampling, bathymetry, and streamflow and sediment modeling: U.S. Geological Survey Fact Sheet 2022–3014, 2 p., https://doi.org/10.3133/fs20223014.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"Y","ipdsId":"IP-137256","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true},{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":396849,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2022/3014/coverthb.jpg"},{"id":396850,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2022/3014/fs20223014.pdf","text":"Report","size":"545 kB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2022-3014"},{"id":396851,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2022/3014/fs20223014.XML"},{"id":396854,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2022/3014/images"}],"contact":"<p><a data-mce-href=\"mailto:DirectorOIP%40usgs.gov?subject=\" href=\"mailto:DirectorOIP%40usgs.gov?subject=\">Director</a>, <a data-mce-href=\"https://www.usgs.gov/international-programs\" href=\"https://www.usgs.gov/international-programs\">Office of International Programs</a> <br>U.S. Geological Survey<br>411 National Center <br>12201 Sunrise Valley Drive <br>Reston, VA 20192 </p>","tableOfContents":"<ul><li>Introduction</li><li>Background</li><li>Goals</li><li>Training Format</li><li>Advantages</li><li>Summary</li><li>Acknowledgments</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2022-03-08","noUsgsAuthors":false,"publicationDate":"2022-03-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Groten, Joel T. 0000-0002-0441-8442 jgroten@usgs.gov","orcid":"https://orcid.org/0000-0002-0441-8442","contributorId":173464,"corporation":false,"usgs":true,"family":"Groten","given":"Joel","email":"jgroten@usgs.gov","middleInitial":"T.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":837449,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Valder, Joshua F. 0000-0003-3733-8868","orcid":"https://orcid.org/0000-0003-3733-8868","contributorId":220912,"corporation":false,"usgs":true,"family":"Valder","given":"Joshua F.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":837450,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Densmore, Brenda K. 0000-0003-2429-638X bdensmore@usgs.gov","orcid":"https://orcid.org/0000-0003-2429-638X","contributorId":4896,"corporation":false,"usgs":true,"family":"Densmore","given":"Brenda","email":"bdensmore@usgs.gov","middleInitial":"K.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":837451,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Neal, Logan W. 0000-0002-0285-1330 loganneal@usgs.gov","orcid":"https://orcid.org/0000-0002-0285-1330","contributorId":288126,"corporation":false,"usgs":true,"family":"Neal","given":"Logan","email":"loganneal@usgs.gov","middleInitial":"W.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":837452,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Krahulik, Justin 0000-0003-0917-9468 jkrahuli@usgs.gov","orcid":"https://orcid.org/0000-0003-0917-9468","contributorId":139523,"corporation":false,"usgs":true,"family":"Krahulik","given":"Justin","email":"jkrahuli@usgs.gov","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":837453,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mack, Thomas J. 0000-0002-0496-3918 tjmack@usgs.gov","orcid":"https://orcid.org/0000-0002-0496-3918","contributorId":1677,"corporation":false,"usgs":true,"family":"Mack","given":"Thomas","email":"tjmack@usgs.gov","middleInitial":"J.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":837454,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70232206,"text":"70232206 - 2022 - Woody plant encroachment of grassland and the reversibility of shrub dominance: Erosion, fire, and feedback processes","interactions":[],"lastModifiedDate":"2022-06-13T16:29:45.708852","indexId":"70232206","displayToPublicDate":"2022-03-08T11:26:25","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Woody plant encroachment of grassland and the reversibility of shrub dominance: Erosion, fire, and feedback processes","docAbstract":"<p><span>Many grass-dominated ecosystems in dryland regions have experienced increasing woody plant density and abundance during the past century. In many cases, this process has led to land degradation and declines in ecosystem functions. An example is the Chihuahuan Desert in the southwestern United States, which experienced different stages of shrub encroachment in the past 150 years. Among a wide variety of mechanisms to explain the grass–shrub transitions in this dryland system, soil erosion (both wind and water) and fire are particularly well studied. Here, we synthesize recent developments on the drivers and feedback in the process of shrub encroachment in the Chihuahuan Desert through the intercomparison of two Long Term Ecological Research (LTER) sites, namely Jornada and Sevilleta. Experimental and modeling studies support a conceptual framework, which underscores the important roles of erosion and fire in woody plant encroachment. Collectively, research at the Jornada LTER provided complementary, quantitative support to the well-known fertile-islands framework. Studies at the Sevilleta LTER expanded the framework, adding fire as a major disturbance to woody plants. Conceptual models derived from the synthesis represent the general understanding of shrub encroachment that emerged from research at these two sites, and can guide management interventions aimed at reducing or mitigating undesirable ecosystem state change in many other drylands worldwide.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ecs2.3949","usgsCitation":"Li, J., Ravi, S., Wang, G., Van Pelt, R.S., Gill, T.E., and Sankey, J., 2022, Woody plant encroachment of grassland and the reversibility of shrub dominance: Erosion, fire, and feedback processes: Ecosphere, v. 13, no. 3, e3949, 13 p., https://doi.org/10.1002/ecs2.3949.","productDescription":"e3949, 13 p.","ipdsId":"IP-124265","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":448558,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/ecs2.3949","text":"External 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,{"id":70261239,"text":"70261239 - 2022 - Porewater chemistry of Louisiana marshes with contrasting salinities and its implications for coastal acidification","interactions":[],"lastModifiedDate":"2024-12-03T14:50:44.967419","indexId":"70261239","displayToPublicDate":"2022-03-08T08:46:06","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1587,"text":"Estuarine, Coastal and Shelf Science","active":true,"publicationSubtype":{"id":10}},"title":"Porewater chemistry of Louisiana marshes with contrasting salinities and its implications for coastal acidification","docAbstract":"Dissolved inorganic carbon (DIC) and total alkalinity (TA) are fundamental components of carbonate systems that control pH and buffering capacity of the receiving water body. Three coastal marshes with contrasting salinities in Barataria Basin, Louisiana, USA, were sampled to understand seasonal changes in porewater carbonate chemistry and its impact on surrounding water bodies. Each marsh was sampled five times between December 2018 and October 2019. Porewater DIC and TA increased with depth irrespective of marsh type and ranged from 4.47 to 31.61 mmol/kg and from 1.78 to 28.56 mmol/kg, respectively. The salt marsh had higher porewater DIC and TA compared to the lower salinity intermediate and brackish marshes, probably due to sulfate reduction in the salt marsh. However, it is likely that denitrification is the dominant anaerobic process in these marshes because of low porewater TA/DIC ratios in all three marshes. Porewater TA and DIC concentrations were generally higher during warmer months than colder months. However, the marsh flooding regime had a profound influence on TA and DIC concentrations by changing the redox potential of the marsh soil. Porewater TA/DIC ratios in all three marshes were generally less than 1, while surface water TA/DIC ratios were around 1, suggesting that export of DIC and TA from coastal marshes have the potential to contribute to coastal acidification.","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecss.2022.107801","usgsCitation":"He, S., Maiti, K., Swarzenski, C., Elsey-Quirk, T., Groseclose, G., and Justic, D., 2022, Porewater chemistry of Louisiana marshes with contrasting salinities and its implications for coastal acidification: Estuarine, Coastal and Shelf Science, v. 268, 107801, 12 p., https://doi.org/10.1016/j.ecss.2022.107801.","productDescription":"107801, 12 p.","ipdsId":"IP-129955","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":467193,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecss.2022.107801","text":"Publisher Index Page"},{"id":464692,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","otherGeospatial":"Barataria Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -90.51557968720905,\n              29.830792799196345\n            ],\n            [\n              -90.51557968720905,\n              29.234933229173492\n            ],\n            [\n              -89.75416975401312,\n              29.234933229173492\n            ],\n            [\n              -89.75416975401312,\n              29.830792799196345\n            ],\n            [\n              -90.51557968720905,\n              29.830792799196345\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"268","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"He, Songjie","contributorId":329472,"corporation":false,"usgs":false,"family":"He","given":"Songjie","email":"","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":920054,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Maiti, Kanchan","contributorId":316257,"corporation":false,"usgs":false,"family":"Maiti","given":"Kanchan","email":"","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":920055,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Swarzenski, Christopher 0000-0001-9843-1471","orcid":"https://orcid.org/0000-0001-9843-1471","contributorId":222381,"corporation":false,"usgs":true,"family":"Swarzenski","given":"Christopher","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":920056,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Elsey-Quirk, Tracy","contributorId":214099,"corporation":false,"usgs":false,"family":"Elsey-Quirk","given":"Tracy","email":"","affiliations":[{"id":13050,"text":"Department of Oceanography and Coastal Sciences, Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":920057,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Groseclose, Gina 0000-0003-2546-7099","orcid":"https://orcid.org/0000-0003-2546-7099","contributorId":346865,"corporation":false,"usgs":false,"family":"Groseclose","given":"Gina","email":"","affiliations":[{"id":83002,"text":"Contractor, Dept of Oceanography and Coastal Sciences, LSU","active":true,"usgs":false}],"preferred":false,"id":920058,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Justic, Dubravko","contributorId":346866,"corporation":false,"usgs":false,"family":"Justic","given":"Dubravko","email":"","affiliations":[{"id":83003,"text":"Dept of Oceanography and Coastal Sciences, LSU","active":true,"usgs":false}],"preferred":false,"id":920059,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70234274,"text":"70234274 - 2022 - Patterns of parental care and movement in divided broods of golden-winged warblers","interactions":[],"lastModifiedDate":"2022-08-08T12:06:39.630097","indexId":"70234274","displayToPublicDate":"2022-03-08T07:03:35","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2190,"text":"Journal of Avian Biology","active":true,"publicationSubtype":{"id":10}},"title":"Patterns of parental care and movement in divided broods of golden-winged warblers","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Post-fledging brood division is a poorly understood, yet widespread suite of avian behaviours that includes both division of parental care and spatial division of a brood. For most species, the differences in parental care between adult males and females and the behavioural mechanisms explaining spatial patterns of brood division are unknown. We studied brood division in golden-winged warblers<span>&nbsp;</span><i>Vermivora chrysoptera</i><span>&nbsp;</span>to describe the spatial and behavioural characteristics of brood division and assess hypotheses describing the potential benefits of brood division. Female golden-winged warblers are known to travel farther from their nests than males within the post-fledging period, although the mechanism resulting in this spatial pattern is unknown. From 2010 to 2012, we monitored radio-marked golden-winged warbler fledglings from fledging until independence from adult care at three sites in the western Great Lakes region of North America. We observed no significant differences in provisioning, parental attendance, daily distance traveled and fledgling begging between male- and female-reared sub-broods. We also did not observe a relationship between parental sex and fledgling sex or mass. However, female-reared sub-broods exhibited a unique period of relatively consistent directional movement on days 8–10 after fledging, which resulted in females traveling farther from the nests than males. Our observations were not fully consistent with any previously proposed hypotheses about the benefits of brood division. Brood division is a complex behaviour that may have a suite of benefits, including predation defense and provisioning efficiency, that are not fully understood.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1111/jav.02938","usgsCitation":"Peterson, S., Streby, H.M., Kramer, G., Feura, J.M., and Andersen, D.E., 2022, Patterns of parental care and movement in divided broods of golden-winged warblers: Journal of Avian Biology, v. 2022, no. 6, e02938,11 p., https://doi.org/10.1111/jav.02938.","productDescription":"e02938,11 p.","ipdsId":"IP-053098","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":448560,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/jav.02938","text":"Publisher Index Page"},{"id":404914,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2022","issue":"6","noUsgsAuthors":false,"publicationDate":"2022-03-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Peterson, Sean M.","contributorId":264257,"corporation":false,"usgs":false,"family":"Peterson","given":"Sean M.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":848417,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Streby, Henry M.","contributorId":274720,"corporation":false,"usgs":false,"family":"Streby","given":"Henry","email":"","middleInitial":"M.","affiliations":[{"id":36629,"text":"University of California","active":true,"usgs":false}],"preferred":false,"id":848418,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kramer, Gunnar R.","contributorId":276165,"corporation":false,"usgs":false,"family":"Kramer","given":"Gunnar R.","affiliations":[{"id":12455,"text":"University of Toledo","active":true,"usgs":false}],"preferred":false,"id":848419,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Feura, Jared M.","contributorId":294599,"corporation":false,"usgs":false,"family":"Feura","given":"Jared","email":"","middleInitial":"M.","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":848420,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Andersen, David E. 0000-0001-9535-3404 dea@usgs.gov","orcid":"https://orcid.org/0000-0001-9535-3404","contributorId":199408,"corporation":false,"usgs":true,"family":"Andersen","given":"David","email":"dea@usgs.gov","middleInitial":"E.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":848421,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70230099,"text":"70230099 - 2022 - Very low frequency earthquakes in between the seismogenic and tremor zones in Cascadia?","interactions":[],"lastModifiedDate":"2022-03-29T11:41:45.30799","indexId":"70230099","displayToPublicDate":"2022-03-08T06:38:29","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7751,"text":"AGU Advances","active":true,"publicationSubtype":{"id":10}},"title":"Very low frequency earthquakes in between the seismogenic and tremor zones in Cascadia?","docAbstract":"<div class=\"article-section__content en main\"><p>Megathrust earthquakes and their associated tsunamis cause some of the worst natural disasters. In addition to earthquakes, a wide range of slip behaviors are present at subduction zones, including slow earthquakes that span multiple orders of spatial and temporal scales. Understanding these events may shed light on the stress or strength conditions of the megathrust fault. Out of all types of slow earthquakes, very low frequency earthquakes (VLFEs) are most enigmatic because they are difficult to detect reliably, and the physical nature of VLFEs are poorly understood. Here we show three VLFEs in Cascadia that were dynamically triggered by a 2009 Mw 6.9 Canal de Ballenas earthquake in the Gulf of California. The VLFEs likely locate in between the seismogenic zone and the Cascadia episodic tremor and slip (ETS) zone, including one event with a moment magnitude of 5.7. This is the largest VLFE reported to date, causing clear geodetic signals. Our results show that the Cascadia megathrust fault might slip rapidly at some spots in this gap zone, and such a permissible slip behavior has direct seismic hazard implications for coastal communities and perhaps further inland. Further, the observed seismic sources may represent a new class of slip events, whose characteristics do not fit current understandings of slow or regular earthquakes.</p></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2021AV000607","usgsCitation":"Fan, W., Barbour, A.J., McGuire, J., Huang, Y., Lin, G., Cochran, E.S., and Okuwaki, R., 2022, Very low frequency earthquakes in between the seismogenic and tremor zones in Cascadia?: AGU Advances, v. 3, no. 2, e2021AV000607, 19 p., https://doi.org/10.1029/2021AV000607.","productDescription":"e2021AV000607, 19 p.","ipdsId":"IP-128311","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":448564,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2021av000607","text":"Publisher Index Page"},{"id":397764,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon, Washington","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.8046875,\n              43.197167282501276\n            ],\n            [\n              -119.53125,\n              43.197167282501276\n            ],\n            [\n              -119.53125,\n              49.095452162534826\n            ],\n            [\n              -124.8046875,\n              49.095452162534826\n            ],\n            [\n              -124.8046875,\n              43.197167282501276\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"3","issue":"2","noUsgsAuthors":false,"publicationDate":"2022-03-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Fan, Wenyuan","contributorId":174007,"corporation":false,"usgs":false,"family":"Fan","given":"Wenyuan","email":"","affiliations":[{"id":6728,"text":"Scripps Inst Oceanography","active":true,"usgs":false}],"preferred":false,"id":839016,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barbour, Andrew J. 0000-0002-6890-2452","orcid":"https://orcid.org/0000-0002-6890-2452","contributorId":215339,"corporation":false,"usgs":true,"family":"Barbour","given":"Andrew","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":839017,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McGuire, Jeffrey J. 0000-0001-9235-2166","orcid":"https://orcid.org/0000-0001-9235-2166","contributorId":219786,"corporation":false,"usgs":true,"family":"McGuire","given":"Jeffrey J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":839018,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Huang, Yihe","contributorId":276214,"corporation":false,"usgs":false,"family":"Huang","given":"Yihe","email":"","affiliations":[{"id":56937,"text":"Univ Michigan","active":true,"usgs":false}],"preferred":false,"id":839019,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lin, Guoqing","contributorId":168856,"corporation":false,"usgs":false,"family":"Lin","given":"Guoqing","affiliations":[{"id":5112,"text":"University of Miami","active":true,"usgs":false}],"preferred":false,"id":839020,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cochran, Elizabeth S. 0000-0003-2485-4484 ecochran@usgs.gov","orcid":"https://orcid.org/0000-0003-2485-4484","contributorId":2025,"corporation":false,"usgs":true,"family":"Cochran","given":"Elizabeth","email":"ecochran@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":839021,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Okuwaki, Ryo","contributorId":174014,"corporation":false,"usgs":false,"family":"Okuwaki","given":"Ryo","email":"","affiliations":[{"id":27339,"text":"University of Tsukuba","active":true,"usgs":false}],"preferred":false,"id":839022,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70255208,"text":"70255208 - 2022 - Dual resistance to Flavobacterium psychrophilum and Myxobolus cerebralis in rainbow trout (Oncorhynchus mykiss, Walbaum)","interactions":[],"lastModifiedDate":"2024-06-17T11:37:11.156869","indexId":"70255208","displayToPublicDate":"2022-03-08T06:35:02","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2286,"text":"Journal of Fish Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Dual resistance to Flavobacterium psychrophilum and Myxobolus cerebralis in rainbow trout (Oncorhynchus mykiss, Walbaum)","docAbstract":"<div class=\"abstract-group \"><div class=\"article-section__content en main\"><p>Aquatic pathogens are a major concern for fish hatchery production, fisheries management, and conservation, and disease control needs to be addressed. Two important salmonid pathogens are<span>&nbsp;</span><i>Myxobolus cerebralis</i><span>&nbsp;</span>and<span>&nbsp;</span><i>Flavobacterium psychrophilum</i><span>&nbsp;</span>that cause whirling disease and bacterial coldwater disease (BCWD), respectively. Innate disease resistance is a potential option for reducing disease-related mortality in hatchery-reared rainbow trout (<i>Oncorhynchus mykiss</i>, Walbaum). Two experiments were conducted to assess pathogen resistance of first-generation (F1) rainbow trout created by crossing<span>&nbsp;</span><i>M. cerebralis</i>- and<span>&nbsp;</span><i>F. psychrophilum</i>-resistant strains. In the first experiment, we exposed two rainbow trout strains and one F1 cross to six treatments: control (no exposure), mock injection,<span>&nbsp;</span><i>F. psychrophilum</i><span>&nbsp;</span>only,<span>&nbsp;</span><i>M. cerebralis</i><span>&nbsp;</span>only,<span>&nbsp;</span><i>F. psychrophilum</i><span>&nbsp;</span>then<span>&nbsp;</span><i>M. cerebralis</i>, and<span>&nbsp;</span><i>M. cerebralis</i><span>&nbsp;</span>then<span>&nbsp;</span><i>F. psychrophilum</i>. Results indicated that the F1 cross was not resistant to either pathogen. In the second experiment, we exposed five rainbow trout strains and four rainbow trout crosses to<span>&nbsp;</span><i>F. psychrophilum</i>. The second experiment indicated that at least one rainbow trout cross was<span>&nbsp;</span><i>F</i>.<span>&nbsp;</span><i>psychrophilum</i>-resistant. Achieving dual resistance may be possible using selective breeding but only some multigenerational strains are suitable candidates for further evaluation.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1111/jfd.13605","usgsCitation":"Avila, B.W., Winkelman, D.L., and Fetherman, E., 2022, Dual resistance to Flavobacterium psychrophilum and Myxobolus cerebralis in rainbow trout (Oncorhynchus mykiss, Walbaum): Journal of Fish Diseases, v. 45, no. 6, p. 801-813, https://doi.org/10.1111/jfd.13605.","productDescription":"13 p.","startPage":"801","endPage":"813","ipdsId":"IP-136399","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":448565,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/jfd.13605","text":"External Repository"},{"id":430260,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"45","issue":"6","noUsgsAuthors":false,"publicationDate":"2022-03-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Avila, Brian W.","contributorId":339003,"corporation":false,"usgs":false,"family":"Avila","given":"Brian","email":"","middleInitial":"W.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":903735,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Winkelman, Dana L. 0000-0002-5247-0114 danaw@usgs.gov","orcid":"https://orcid.org/0000-0002-5247-0114","contributorId":4141,"corporation":false,"usgs":true,"family":"Winkelman","given":"Dana","email":"danaw@usgs.gov","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":903736,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fetherman, Eric R.","contributorId":339006,"corporation":false,"usgs":false,"family":"Fetherman","given":"Eric R.","affiliations":[{"id":39887,"text":"Colorado Parks and Wildlife","active":true,"usgs":false}],"preferred":false,"id":903737,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70262412,"text":"70262412 - 2022 - The cost of avoiding predators: A bioenergetic analysis of diel vertical migration by the opossum shrimp Mysis diluviana","interactions":[],"lastModifiedDate":"2025-01-22T23:07:25.031633","indexId":"70262412","displayToPublicDate":"2022-03-08T00:00:00","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1919,"text":"Hydrobiologia","onlineIssn":"1573-5117","printIssn":"0018-8158","active":true,"publicationSubtype":{"id":10}},"title":"The cost of avoiding predators: A bioenergetic analysis of diel vertical migration by the opossum shrimp Mysis diluviana","docAbstract":"<p><span>The freshwater opossum shrimp&nbsp;</span><i>Mysis diluviana</i><span>&nbsp;can undergo extensive diel vertical migration (DVM) to feed in&nbsp;shallow, prey rich strata at&nbsp;night. Bright moonlight limits their night-time migration presumably due to predator avoidance.&nbsp;Using a linked, foraging-bioenergetics model, we evaluated the cost of avoiding predators by simulating the effects of prey density, water temperature, and light intensity on daily feeding and growth of&nbsp;</span><i>M. diluviana</i><span>&nbsp;in Lake Pend Oreille, Idaho, USA. We found that when mysid distribution was not limited by moonlight intensity, simulated food consumption (10.3&nbsp;J day</span><sup>−1</sup><span>) increased 1.6-fold compared to estimated consumption (6.1&nbsp;J day</span><sup>−1</sup><span>) based on their observed, vertical distribution. Moreover, simulated growth of mysids (0.61&nbsp;mg day</span><sup>−1</sup><span>) increased 74% compared to that estimated from observed distribution patterns (0.35&nbsp;mg day</span><sup>−1</sup><span>), when they were located in deeper, darker strata. Given recent insights into partial DVM by&nbsp;</span><i>M. diluviana</i><span>, we note that proximate factors associated with predator avoidance in pelagic (light availability) and benthic (hunger level, body size and reproductive status) habitats may&nbsp;convey complimentary benefits to&nbsp;</span><i>M. diluviana</i><span>&nbsp;fitness by reducing predation mortality and increasing metabolic efficiency.</span></p>","language":"English","publisher":"Springer Nature","doi":"10.1007/s10750-022-04832-w","usgsCitation":"Chipps, S.R., Bennett, D., Deslauriers, D., and Rudstam, L., 2022, The cost of avoiding predators: A bioenergetic analysis of diel vertical migration by the opossum shrimp Mysis diluviana: Hydrobiologia, v. 849, p. 1871-1884, https://doi.org/10.1007/s10750-022-04832-w.","productDescription":"14 p.","startPage":"1871","endPage":"1884","ipdsId":"IP-127536","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":480959,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Lake Pend Oreille","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -116.67324526551994,\n              48.40859279963456\n            ],\n            [\n              -116.67324526551994,\n              47.92834413614517\n            ],\n            [\n              -116.14169467852497,\n              47.92834413614517\n            ],\n            [\n              -116.14169467852497,\n              48.40859279963456\n            ],\n            [\n              -116.67324526551994,\n              48.40859279963456\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"849","noUsgsAuthors":false,"publicationDate":"2022-03-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Chipps, Steven R. 0000-0001-6511-7582 steve_chipps@usgs.gov","orcid":"https://orcid.org/0000-0001-6511-7582","contributorId":2243,"corporation":false,"usgs":true,"family":"Chipps","given":"Steven","email":"steve_chipps@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":924141,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bennett, David H.","contributorId":349207,"corporation":false,"usgs":false,"family":"Bennett","given":"David H.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":924142,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Deslauriers, David","contributorId":349208,"corporation":false,"usgs":false,"family":"Deslauriers","given":"David","affiliations":[{"id":36676,"text":"Université du Québec à Rimouski","active":true,"usgs":false}],"preferred":false,"id":924143,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rudstam, Lars G.","contributorId":349209,"corporation":false,"usgs":false,"family":"Rudstam","given":"Lars G.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":924144,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70263839,"text":"70263839 - 2022 - Significance of U-Pb detrital zircon geochronology for mudstone provenance","interactions":[],"lastModifiedDate":"2025-02-26T21:01:19.40561","indexId":"70263839","displayToPublicDate":"2022-03-08T00:00:00","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Significance of U-Pb detrital zircon geochronology for mudstone provenance","docAbstract":"<p><span>Detrital zircon U-Pb studies of mudstone provenance are rare but may preferentially fingerprint distal zircon sources. To examine this issue, Pierre Shale and Trinidad Sandstone deposited in a Late Cretaceous deltaic environment in the Raton Basin, Colorado (USA), were measured for detrital zircon U-Pb age by laser ablation–inductively coupled plasma–mass spectrometry. Two major detrital zircon age peaks at ca. 70 and 1690 Ma are found in both Pierre Shale and Trinidad Sandstone but in inversely varying proportions: 68% and 16%, respectively, for the finest zircon fraction (~15–35 μm) in the shale, and 25% and 32%, respectively, for the coarsest zircon fraction (~60–80 μm) in the sandstone. Proximal sources in the Sangre de Cristo Mountains, directly west of the Raton Basin, contain coarse-grained, ca. 1690 Ma zircon, whereas distal sources in Laramide uplifts and basins in Colorado, New Mexico, and Arizona contain fine-grained, ca. 70 Ma zircon. The results indicate that U-Pb zircon provenance of mudstone reflects availability of volcanic and other fine-grained source rocks rather than simply distal sources. U-Pb zircon provenance studies should routinely include mudstone units because these units may identify fine-grained zircon sources more reliably than sandstones alone.</span></p>","language":"English","publisher":"GeoScienceWorld","doi":"10.1130/G49684.1","usgsCitation":"Sylvester, P., Souders, A., and Liu, R., 2022, Significance of U-Pb detrital zircon geochronology for mudstone provenance: Geology, v. 50, no. 6, p. 670-675, https://doi.org/10.1130/G49684.1.","productDescription":"6 p.","startPage":"670","endPage":"675","ipdsId":"IP-133330","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":487687,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/g49684.1","text":"Publisher Index Page"},{"id":482506,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Colorado, New Mexico, Utah","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-109.050076,41.000659],[-107.000606,41.003444],[-105.730421,40.996886],[-104.497149,41.001828],[-102.051718,41.002377],[-102.04224,36.993083],[-103.002199,37.000104],[-103.002434,36.500397],[-103.041924,36.500439],[-103.043531,34.018014],[-103.064625,32.999899],[-103.064423,32.000518],[-106.618486,32.000495],[-106.619448,31.994733],[-106.631182,31.989809],[-106.639529,31.980348],[-106.630114,31.971258],[-106.619569,31.971578],[-106.625123,31.954531],[-106.614702,31.956],[-106.616136,31.948439],[-106.623659,31.94551],[-106.622117,31.936621],[-106.629747,31.92657],[-106.611846,31.920003],[-106.633668,31.90979],[-106.645479,31.89867],[-106.629197,31.883717],[-106.635926,31.866235],[-106.614637,31.84649],[-106.602045,31.844405],[-106.602727,31.825024],[-106.589045,31.822706],[-106.577244,31.810406],[-106.566844,31.813306],[-106.547144,31.807305],[-106.527943,31.790507],[-106.528543,31.783907],[-108.208394,31.783599],[-108.208573,31.333395],[-111.074825,31.332239],[-112.246102,31.704195],[-114.813613,32.494277],[-114.812635,32.506918],[-114.804429,32.514594],[-114.811576,32.523594],[-114.802181,32.536414],[-114.805966,32.545346],[-114.792065,32.555009],[-114.794635,32.563564],[-114.808929,32.561976],[-114.810782,32.565152],[-114.801877,32.57601],[-114.799737,32.592178],[-114.807906,32.602783],[-114.809393,32.617119],[-114.799302,32.625115],[-114.791179,32.621833],[-114.781872,32.62505],[-114.779215,32.633579],[-114.764382,32.642666],[-114.76495,32.649391],[-114.748,32.664184],[-114.730086,32.704298],[-114.701918,32.745548],[-114.688779,32.737675],[-114.618373,32.728245],[-114.614772,32.734089],[-114.581784,32.734946],[-114.581736,32.742321],[-114.564508,32.742298],[-114.564447,32.749554],[-114.539224,32.749812],[-114.539093,32.756949],[-114.526856,32.757094],[-114.531831,32.774264],[-114.528849,32.796307],[-114.510217,32.816417],[-114.494116,32.823288],[-114.468971,32.845155],[-114.462929,32.907944],[-114.47664,32.923628],[-114.48092,32.935252],[-114.469113,32.952673],[-114.467664,32.966861],[-114.469039,32.972295],[-114.476156,32.975168],[-114.492938,32.971781],[-114.499797,33.003905],[-114.511343,33.023455],[-114.523578,33.030961],[-114.571653,33.036624],[-114.589778,33.026228],[-114.618788,33.027202],[-114.628293,33.031052],[-114.64598,33.048903],[-114.662317,33.032671],[-114.673659,33.041897],[-114.674296,33.057171],[-114.686991,33.070969],[-114.688597,33.082869],[-114.707819,33.091102],[-114.696829,33.131209],[-114.679359,33.159519],[-114.675831,33.18152],[-114.678749,33.203448],[-114.673626,33.223121],[-114.689421,33.24525],[-114.672088,33.258499],[-114.680507,33.273577],[-114.72167,33.286982],[-114.731223,33.302434],[-114.707962,33.323421],[-114.698035,33.352442],[-114.708408,33.384147],[-114.722872,33.398779],[-114.723829,33.406531],[-114.701732,33.408388],[-114.687953,33.417944],[-114.658382,33.413036],[-114.643302,33.416745],[-114.62964,33.428138],[-114.623395,33.45449],[-114.591554,33.499443],[-114.569533,33.509219],[-114.560963,33.516739],[-114.559507,33.530724],[-114.524599,33.552231],[-114.5403,33.580615],[-114.540617,33.591412],[-114.524813,33.611351],[-114.529662,33.622794],[-114.526947,33.637534],[-114.53005,33.647619],[-114.525201,33.661583],[-114.531523,33.675108],[-114.523959,33.685879],[-114.496489,33.696901],[-114.494197,33.707922],[-114.496565,33.719155],[-114.512348,33.734214],[-114.504483,33.750998],[-114.504863,33.760465],[-114.52805,33.814963],[-114.51997,33.825381],[-114.529597,33.848063],[-114.528451,33.854929],[-114.503017,33.867998],[-114.503395,33.875018],[-114.518555,33.889847],[-114.508558,33.906098],[-114.518434,33.917518],[-114.533679,33.926072],[-114.535478,33.934651],[-114.522002,33.955623],[-114.499883,33.961789],[-114.467932,33.992877],[-114.462377,33.993781],[-114.46283,34.008421],[-114.443821,34.016176],[-114.438266,34.022609],[-114.434949,34.037784],[-114.43934,34.057893],[-114.434181,34.087379],[-114.415908,34.107636],[-114.405941,34.11154],[-114.390565,34.110084],[-114.366521,34.118575],[-114.353031,34.133121],[-114.320777,34.138635],[-114.287294,34.170529],[-114.254141,34.173831],[-114.229715,34.186928],[-114.223384,34.205136],[-114.159697,34.258242],[-114.139055,34.259538],[-114.134427,34.266387],[-114.138167,34.300936],[-114.157206,34.317862],[-114.176909,34.349306],[-114.199482,34.361373],[-114.226107,34.365916],[-114.264317,34.401329],[-114.286802,34.40534],[-114.294836,34.421389],[-114.32613,34.437251],[-114.335372,34.450038],[-114.373719,34.446938],[-114.386699,34.457911],[-114.378124,34.507288],[-114.380838,34.529724],[-114.405228,34.569637],[-114.422382,34.580711],[-114.429747,34.591734],[-114.424202,34.610453],[-114.438739,34.621455],[-114.441465,34.64253],[-114.451753,34.654321],[-114.451971,34.666795],[-114.465246,34.691202],[-114.470477,34.711368],[-114.516619,34.736745],[-114.552682,34.766871],[-114.57101,34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 \"}}]}","volume":"50","issue":"6","noUsgsAuthors":false,"publicationDate":"2022-03-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Sylvester, Paul 0000-0003-0741-0574","orcid":"https://orcid.org/0000-0003-0741-0574","contributorId":351483,"corporation":false,"usgs":false,"family":"Sylvester","given":"Paul","affiliations":[{"id":36331,"text":"Texas Tech University","active":true,"usgs":false}],"preferred":false,"id":928623,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Souders, Amanda 0000-0002-1367-8924","orcid":"https://orcid.org/0000-0002-1367-8924","contributorId":296423,"corporation":false,"usgs":true,"family":"Souders","given":"Amanda","email":"","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":928624,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Liu, Rui 0000-0002-6155-1434","orcid":"https://orcid.org/0000-0002-6155-1434","contributorId":351484,"corporation":false,"usgs":false,"family":"Liu","given":"Rui","affiliations":[{"id":36331,"text":"Texas Tech University","active":true,"usgs":false}],"preferred":false,"id":928625,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70229523,"text":"70229523 - 2022 - Draft genome sequence of a novel calicivirus from a brown bullhead (Ameiurus nebulosus) from Lake Memphremagog, Vermont/Quebec","interactions":[],"lastModifiedDate":"2022-03-28T16:59:06.426979","indexId":"70229523","displayToPublicDate":"2022-03-07T15:54:27","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5813,"text":"Microbiology Resource Announcements","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Draft genome sequence of a novel calicivirus from a brown bullhead (<i>Ameiurus nebulosus</i>) from Lake Memphremagog, Vermont/Quebec","title":"Draft genome sequence of a novel calicivirus from a brown bullhead (Ameiurus nebulosus) from Lake Memphremagog, Vermont/Quebec","docAbstract":"<div id=\"abstracts\"><div class=\"core-container\"><div>We report a draft genome sequence of a previously undescribed calicivirus from a single brown bullhead inhabiting Lake Memphremagog, Vermont/Quebec. The genome is 7,413 nucleotides long and is most similar to the Atlantic salmon calicivirus (nucleotide identity; 64.7%).</div></div></div>","language":"English","publisher":"American Society for Microbiology","doi":"10.1128/mra.01188-21","usgsCitation":"Iwanowicz, L., Blazer, V., Jones, T., Bodnar, M., Ekholm, K., Dragon, J., and Emmerson, P., 2022, Draft genome sequence of a novel calicivirus from a brown bullhead (Ameiurus nebulosus) from Lake Memphremagog, Vermont/Quebec: Microbiology Resource Announcements, v. 11, no. 3, e01188-21, 3 p., https://doi.org/10.1128/mra.01188-21.","productDescription":"e01188-21, 3 p.","ipdsId":"IP-134910","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":448567,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1128/mra.01188-21","text":"External Repository"},{"id":435932,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9MPFVMX","text":"USGS data release","linkHelpText":"Data supporting: Draft Genome Sequence of a Novel Calicivirus from a Brown Bullhead (Ameiurus nebulosus) from Lake Memphremagog, VT"},{"id":397019,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Vermont","otherGeospatial":"Quebec, Lake Memphremagog","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -72.39715576171875,\n              44.88506649401471\n            ],\n            [\n              -71.95632934570311,\n              44.88506649401471\n            ],\n            [\n              -71.95632934570311,\n              45.34249365462379\n            ],\n            [\n              -72.39715576171875,\n              45.34249365462379\n            ],\n            [\n              -72.39715576171875,\n              44.88506649401471\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"11","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Iwanowicz, Luke R. 0000-0002-1197-6178","orcid":"https://orcid.org/0000-0002-1197-6178","contributorId":79382,"corporation":false,"usgs":true,"family":"Iwanowicz","given":"Luke R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":837738,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blazer, Vicki S. 0000-0001-6647-9614 vblazer@usgs.gov","orcid":"https://orcid.org/0000-0001-6647-9614","contributorId":150384,"corporation":false,"usgs":true,"family":"Blazer","given":"Vicki S.","email":"vblazer@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":837739,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Tom","contributorId":288322,"corporation":false,"usgs":false,"family":"Jones","given":"Tom","email":"","affiliations":[{"id":61728,"text":"Vermont Fish & Wildlife Department","active":true,"usgs":false}],"preferred":false,"id":837740,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bodnar, Matthew","contributorId":288323,"corporation":false,"usgs":false,"family":"Bodnar","given":"Matthew","email":"","affiliations":[{"id":61728,"text":"Vermont Fish & Wildlife Department","active":true,"usgs":false}],"preferred":false,"id":837741,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ekholm, Korin","contributorId":288324,"corporation":false,"usgs":false,"family":"Ekholm","given":"Korin","email":"","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":837742,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dragon, Julie 0000-0002-8031-5381","orcid":"https://orcid.org/0000-0002-8031-5381","contributorId":288325,"corporation":false,"usgs":false,"family":"Dragon","given":"Julie","email":"","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":837743,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Emmerson, Peter","contributorId":288326,"corporation":false,"usgs":false,"family":"Emmerson","given":"Peter","email":"","affiliations":[{"id":61728,"text":"Vermont Fish & Wildlife Department","active":true,"usgs":false}],"preferred":false,"id":837744,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70262013,"text":"70262013 - 2022 - Survival of white-tailed deer fawns on Marine Corps Base Quantico","interactions":[],"lastModifiedDate":"2025-01-10T17:49:15.093931","indexId":"70262013","displayToPublicDate":"2022-03-07T11:42:32","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":16872,"text":"The Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Survival of white-tailed deer fawns on Marine Corps Base Quantico","docAbstract":"<p><span>Some jurisdictions in the eastern United States have reduced harvest of white-tailed deer (</span><i>Odocoileus virginianus</i><span>) because of perceived declines in recruitment and population size over the last decade. Although the restoration of American black bears (</span><i>Ursus americanus</i><span>) and the colonization of coyotes (</span><i>Canis latrans</i><span>) have increased fawn predation in some areas, limited information exists on how temporally dynamic resources and weather influence fawn survival. Therefore, we evaluated fawn survival probability, cause specific mortality, and if factors such as oak (</span><i>Quercus</i><span>&nbsp;spp.) mast abundance, winter severity, precipitation, and landscape composition influenced mortality risk on Marine Corps Base Quantico in northern Virginia, USA, from 2008 to 2019. We tracked 248 fawns outfitted with very high frequency radio-collars and predation was the leading cause of mortality (</span><i>n</i><span> = 42; 45%). We estimated survival to 133 days and survival pooling all years (2008–2019) was 0.50 (95% CI = 0.42–0.60). Increased annual red oak (</span><i>Quercus</i><span>&nbsp;spp.) mast abundance from the previous fall reduced mortality hazard for fawns. The longevity of our study revealed a link between fawn survival and a specific maternal resource (red oak mast) only available during gestation. Our results highlight the importance of oak mast in eastern deciduous forests and, more broadly, overwinter maternal condition on white-tailed deer recruitment.</span></p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.22180","usgsCitation":"Aubin, G., Nye, C., Rohm, J., Stamps, R., Ford, W., and Cherry, M., 2022, Survival of white-tailed deer fawns on Marine Corps Base Quantico: The Journal of Wildlife Management, v. 86, no. 3, e22180, 16 p., https://doi.org/10.1002/jwmg.22180.","productDescription":"e22180, 16 p.","ipdsId":"IP-123154","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":467194,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/jwmg.22180","text":"External Repository"},{"id":466015,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","otherGeospatial":"Marine Corps Base Quantico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -77.525,\n              38.675\n            ],\n            [\n              -77.525,\n              38.5\n            ],\n            [\n              -77.275,\n              38.5\n            ],\n            [\n              -77.275,\n              38.675\n            ],\n            [\n              -77.525,\n              38.675\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"86","issue":"3","noUsgsAuthors":false,"publicationDate":"2022-03-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Aubin, Gisele R.","contributorId":347865,"corporation":false,"usgs":false,"family":"Aubin","given":"Gisele R.","affiliations":[{"id":36967,"text":"Virginia Tech University","active":true,"usgs":false}],"preferred":false,"id":922702,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nye, Christa C.","contributorId":347866,"corporation":false,"usgs":false,"family":"Nye","given":"Christa C.","affiliations":[{"id":54576,"text":"DoD","active":true,"usgs":false}],"preferred":false,"id":922703,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rohm, John H.","contributorId":347867,"corporation":false,"usgs":false,"family":"Rohm","given":"John H.","affiliations":[{"id":54576,"text":"DoD","active":true,"usgs":false}],"preferred":false,"id":922704,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stamps, R.T.","contributorId":347868,"corporation":false,"usgs":false,"family":"Stamps","given":"R.T.","affiliations":[{"id":54576,"text":"DoD","active":true,"usgs":false}],"preferred":false,"id":922705,"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":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":922701,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cherry, Michael J.","contributorId":342702,"corporation":false,"usgs":false,"family":"Cherry","given":"Michael J.","affiliations":[{"id":81913,"text":"Texas A&M University - Kingsville","active":true,"usgs":false}],"preferred":false,"id":922706,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
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