{"pageNumber":"517","pageRowStart":"12900","pageSize":"25","recordCount":184828,"records":[{"id":70219904,"text":"70219904 - 2021 - Effects of supplemental feeding on the fecal bacterial communities of Rocky Mountain elk in the Greater Yellowstone Ecosystem","interactions":[],"lastModifiedDate":"2021-04-19T11:49:58.775753","indexId":"70219904","displayToPublicDate":"2021-04-08T07:02:08","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Effects of supplemental feeding on the fecal bacterial communities of Rocky Mountain elk in the Greater Yellowstone Ecosystem","docAbstract":"<p><span>Supplemental feeding of wildlife is a common practice often undertaken for recreational or management purposes, but it may have unintended consequences for animal health. Understanding cryptic effects of diet supplementation on the gut microbiomes of wild mammals is important to inform conservation and management strategies. Multiple laboratory studies have demonstrated the importance of the gut microbiome for extracting and synthesizing nutrients, modulating host immunity, and many other vital host functions, but these relationships can be disrupted by dietary perturbation. The well-described interplay between diet, the microbiome, and host health in laboratory and human systems highlights the need to understand the consequences of supplemental feeding on the microbiomes of free-ranging animal populations. This study describes changes to the gut microbiomes of wild elk under different supplemental feeding regimes. We demonstrated significant cross-sectional variation between elk at different feeding locations and identified several relatively low-abundance bacterial genera that differed between fed versus unfed groups. In addition, we followed four of these populations through mid-season changes in supplemental feeding regimes and demonstrated a significant shift in microbiome composition in a single population that changed from natural forage to supplementation with alfalfa pellets. Some of the taxonomic shifts in this population mirrored changes associated with ruminal acidosis in domestic livestock. We discerned no significant changes in the population that shifted from natural forage to hay supplementation, or in the populations that changed from one type of hay to another. Our results suggest that supplementation with alfalfa pellets alters the native gut microbiome of elk, with potential implications for population health.</span></p>","language":"English","publisher":"Public Library of Sciences","doi":"10.1371/journal.pone.0249521","usgsCitation":"Couch, C.E., Wise, B., Scurlock, B., Rogerson, J.D., Fuda, R.K., Cole, E.K., Szcodronski, K.E., Sepulveda, A., Hutchins, P.R., and Cross, P., 2021, Effects of supplemental feeding on the fecal bacterial communities of Rocky Mountain elk in the Greater Yellowstone Ecosystem: PLoS ONE, v. 16, no. 4, e0249521, 16 p., https://doi.org/10.1371/journal.pone.0249521.","productDescription":"e0249521, 16 p.","ipdsId":"IP-118898","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":452771,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0249521","text":"Publisher Index Page"},{"id":385150,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United  States","state":"Wyoming","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.0498046875,\n              43.61221676817573\n            ],\n            [\n              -107.841796875,\n              43.61221676817573\n            ],\n            [\n              -107.841796875,\n              45.120052841530544\n            ],\n            [\n              -111.0498046875,\n              45.120052841530544\n            ],\n            [\n              -111.0498046875,\n              43.61221676817573\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"16","issue":"4","noUsgsAuthors":false,"publicationDate":"2021-04-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Couch, Claire E 0000-0003-4983-3719","orcid":"https://orcid.org/0000-0003-4983-3719","contributorId":257485,"corporation":false,"usgs":false,"family":"Couch","given":"Claire","email":"","middleInitial":"E","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":814357,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wise, Benjamin","contributorId":189800,"corporation":false,"usgs":false,"family":"Wise","given":"Benjamin","affiliations":[],"preferred":false,"id":814358,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scurlock, Brandon","contributorId":145744,"corporation":false,"usgs":false,"family":"Scurlock","given":"Brandon","email":"","affiliations":[{"id":16219,"text":"Wyoming Game and Fish Department, PO Box 850, Pinedale, Wyoming","active":true,"usgs":false}],"preferred":false,"id":814359,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rogerson, Jared D.","contributorId":210265,"corporation":false,"usgs":false,"family":"Rogerson","given":"Jared","email":"","middleInitial":"D.","affiliations":[{"id":36596,"text":"Wyoming Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":814360,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fuda, Rebecca K.","contributorId":203303,"corporation":false,"usgs":false,"family":"Fuda","given":"Rebecca","email":"","middleInitial":"K.","affiliations":[{"id":36596,"text":"Wyoming Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":814361,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cole, Eric K 0000-0002-2229-5853","orcid":"https://orcid.org/0000-0002-2229-5853","contributorId":248406,"corporation":false,"usgs":false,"family":"Cole","given":"Eric","email":"","middleInitial":"K","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":814362,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Szcodronski, Kimberly E 0000-0002-2387-5649","orcid":"https://orcid.org/0000-0002-2387-5649","contributorId":224232,"corporation":false,"usgs":true,"family":"Szcodronski","given":"Kimberly","email":"","middleInitial":"E","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":814363,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sepulveda, Adam 0000-0001-7621-7028 asepulveda@usgs.gov","orcid":"https://orcid.org/0000-0001-7621-7028","contributorId":4187,"corporation":false,"usgs":true,"family":"Sepulveda","given":"Adam","email":"asepulveda@usgs.gov","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":814364,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hutchins, Patrick R. 0000-0001-5232-0821 phutchins@usgs.gov","orcid":"https://orcid.org/0000-0001-5232-0821","contributorId":198337,"corporation":false,"usgs":true,"family":"Hutchins","given":"Patrick","email":"phutchins@usgs.gov","middleInitial":"R.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":814365,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Cross, Paul C. 0000-0001-8045-5213","orcid":"https://orcid.org/0000-0001-8045-5213","contributorId":204814,"corporation":false,"usgs":true,"family":"Cross","given":"Paul C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":814366,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70220318,"text":"70220318 - 2021 - Impact of \"non-lethal\" tarsal clipping on bumble bees (Bombus vosnesenskii) may depend on queen stage and worker size","interactions":[],"lastModifiedDate":"2021-05-04T11:49:52.226563","indexId":"70220318","displayToPublicDate":"2021-04-08T06:46:46","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2356,"text":"Journal of Insect Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Impact of \"non-lethal\" tarsal clipping on bumble bees (Bombus vosnesenskii) may depend on queen stage and worker size","docAbstract":"<p><span>Recent bumble bee declines have prompted the development of novel population monitoring tools, including the use of putatively non-lethal tarsal clipping to obtain genetic material. However, the potential side effects of tarsal clipping have only been tested in the worker caste of a single domesticated species, prompting the need to more broadly test whether tarsal clipping negatively affects sampled individuals. To determine if tarsal clipping reduces queen survivorship and colony establishment, we collected wild queens of&nbsp;</span><i>Bombus vosnesenskii</i><span>&nbsp;and clipped tarsi from a single leg of half the individuals. We reared captive queens and estimated survivorship and nest establishment success. We also clipped tarsi of workers from a subset of colonies across a range of body sizes. We found no consistent negative effect of clipping on queen survival. In the first year, clipped nest-searching queens suffered heavy mortality, but there was no effect on foraging queens. The following year, we found no effect of clipping on queen survival or establishment. Clipping did not reduce overall worker survival but reduced survivorship for those in the smallest size quartile.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10841-021-00297-9","usgsCitation":"Mola, J.M., Stuligross, C., Page, M.L., Rutkowski, D., and Williams, N.M., 2021, Impact of \"non-lethal\" tarsal clipping on bumble bees (Bombus vosnesenskii) may depend on queen stage and worker size: Journal of Insect Conservation, v. 25, p. 195-201, https://doi.org/10.1007/s10841-021-00297-9.","productDescription":"7 p.","startPage":"195","endPage":"201","ipdsId":"IP-120464","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":452773,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10841-021-00297-9","text":"Publisher Index Page"},{"id":385439,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"25","noUsgsAuthors":false,"publicationDate":"2021-02-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Mola, John Michael 0000-0002-5394-9071","orcid":"https://orcid.org/0000-0002-5394-9071","contributorId":224281,"corporation":false,"usgs":true,"family":"Mola","given":"John","email":"","middleInitial":"Michael","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":815147,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stuligross, Clara 0000-0002-5941-0528","orcid":"https://orcid.org/0000-0002-5941-0528","contributorId":257846,"corporation":false,"usgs":false,"family":"Stuligross","given":"Clara","email":"","affiliations":[{"id":16975,"text":"University of California Davis","active":true,"usgs":false}],"preferred":false,"id":815148,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Page, Maureen L. 0000-0001-5312-3053","orcid":"https://orcid.org/0000-0001-5312-3053","contributorId":257847,"corporation":false,"usgs":false,"family":"Page","given":"Maureen","email":"","middleInitial":"L.","affiliations":[{"id":16975,"text":"University of California Davis","active":true,"usgs":false}],"preferred":false,"id":815149,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rutkowski, Danielle 0000-0001-6156-1280","orcid":"https://orcid.org/0000-0001-6156-1280","contributorId":257849,"corporation":false,"usgs":false,"family":"Rutkowski","given":"Danielle","email":"","affiliations":[{"id":16975,"text":"University of California Davis","active":true,"usgs":false}],"preferred":false,"id":815150,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Williams, Neal M. 0000-0003-3053-8445","orcid":"https://orcid.org/0000-0003-3053-8445","contributorId":214382,"corporation":false,"usgs":false,"family":"Williams","given":"Neal","email":"","middleInitial":"M.","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":815151,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70262781,"text":"70262781 - 2021 - Roads less travelled by— Pleistocene piracy in Washington’s northwestern Channeled Scabland","interactions":[],"lastModifiedDate":"2025-01-23T21:56:18.680423","indexId":"70262781","displayToPublicDate":"2021-04-07T15:54:55","publicationYear":"2021","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Roads less travelled by— Pleistocene piracy in Washington’s northwestern Channeled Scabland","docAbstract":"<p>The Pleistocene Okanogan lobe of Cordilleran ice in north-central Washington State dammed Columbia River to pond glacial Lake Columbia and divert the river south across one or another low spot along a 230-km-long drainage divide. When enormous Missoula floods from the east briefly engulfed the lake, water poured across a few such divide saddles. The grandest such spillway into the Channeled Scabland became upper Grand Coulee.</p><p>By cutting headward to Columbia valley, upper Grand Coulee’s flood cataract opened a valve that then kept glacial Lake Columbia low and limited later floods into nearby Moses Coulee. Indeed few of the scores of last-glacial Missoula floods managed to reach it. Headward cutting of an inferred smaller cataract (Foster Coulee) had earlier lowered glacial Lake Columbia’s outlet. Such Scabland piracies explain a variety of field evidence assembled here: apparently successive outlets of glacial Lake Columbia, and certain megaflood features downcurrent to Wenatchee and Quincy basin.</p><p>Ice-rafted erratics and the Pangborn bar of foreset gravel near Wenatchee record late Wisconsin flood(s) down Columbia valley as deep as 320 m. Fancher bar, 45 m higher than Pangborn bar, also has tall foreset beds—but its gravel is partly rotted and capped by thick calcrete, thus pre-Wisconsin age, perhaps greatly so. In western Quincy basin foreset beds of basaltic gravel dip east from Columbia valley<span>&nbsp;</span><i>into</i><span>&nbsp;</span>the basin—gravel also partly rotted and capped by thick calcrete, also pre-Wisconsin. Yet evidence of late Wisconsin eastward flow to Quincy basin is sparse. This sequence suggests that upper Grand Coulee had largely opened before down-Columbia megaflood(s) early in late Wisconsin time.</p><p>A drift-obscured area of the Waterville Plateau near Badger Wells is the inconspicuous divide saddle between Columbia tributary Foster Creek drainage and Moses Coulee drainage. Before flood cataracts had opened upper Grand Coulee or Foster Coulee, and while Okanogan ice blocked the Columbia but not Foster Creek, glacial Lake Columbia (diverted Columbia River) drained over this saddle at about 654 m and down Moses Coulee. When glacial Lake Columbia stood at this high level so far west, Missoula floods swelling the lake could easily and deeply flood Moses Coulee.</p><p>Once eastern Foster Coulee cataract had been cut through, and especially once upper Grand Coulee’s great cataract receded to Columbia valley, glacial Lake Columbia stood lower, and Moses Coulee became harder to flood. During the late Wisconsin (marine isotope stage [MIS] 2), only when Okanogan-lobe ice blocked the Columbia near Brewster to form a high lake could Missoula floodwater from glacial Lake Missoula rise enough to overflow into Moses Coulee—and then only in a few very largest Missoula floods. Moses Coulee’s main excavation must lie with pre-Wisconsin outburst floods (MIS 6 or much earlier)—before upper Grand Coulee’s cataract had receded to Columbia valley.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Untangling the Quaternary period—A legacy of Stephen C. Porter","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Geological Society of America","doi":"10.1130/2021.2548(18)","usgsCitation":"Waitt, R.B., 2021, Roads less travelled by— Pleistocene piracy in Washington’s northwestern Channeled Scabland, chap. <i>of</i> Untangling the Quaternary period—A legacy of Stephen C. Porter, v. 548, p. 351-384, https://doi.org/10.1130/2021.2548(18).","productDescription":"34 p.","startPage":"351","endPage":"384","ipdsId":"IP-106447","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":481113,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -119.95459021337109,\n              48.24790940711324\n            ],\n            [\n              -119.95459021337109,\n              47.27955471812251\n            ],\n            [\n              -118.82360732853044,\n              47.27955471812251\n            ],\n            [\n              -118.82360732853044,\n              48.24790940711324\n            ],\n            [\n              -119.95459021337109,\n              48.24790940711324\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"548","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Waitt, Richard B. 0000-0002-6392-5604 waitt@usgs.gov","orcid":"https://orcid.org/0000-0002-6392-5604","contributorId":2343,"corporation":false,"usgs":true,"family":"Waitt","given":"Richard","email":"waitt@usgs.gov","middleInitial":"B.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":924927,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Thackray, Glenn D.","contributorId":266203,"corporation":false,"usgs":false,"family":"Thackray","given":"Glenn D.","affiliations":[{"id":54945,"text":"Department of Geosciences, Idaho State University, Pocatello, Idaho","active":true,"usgs":false}],"preferred":false,"id":924928,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Gillespie, Alan R.","contributorId":147607,"corporation":false,"usgs":false,"family":"Gillespie","given":"Alan","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":924929,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Waitt, Richard B. 0000-0002-6392-5604 waitt@usgs.gov","orcid":"https://orcid.org/0000-0002-6392-5604","contributorId":2343,"corporation":false,"usgs":true,"family":"Waitt","given":"Richard","email":"waitt@usgs.gov","middleInitial":"B.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":924753,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70219438,"text":"ofr20211028 - 2021 - Executive summary and annotated bibliography of selected references from “Microbial and viral indicators of pathogens and human health risks from recreational exposure to waters impaired by fecal contamination” with related project ideas for Gwinnett County, Georgia","interactions":[],"lastModifiedDate":"2021-04-08T11:37:18.234289","indexId":"ofr20211028","displayToPublicDate":"2021-04-07T10:15:00","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2021-1028","displayTitle":"Executive Summary and Annotated Bibliography of Selected References From “Microbial and Viral Indicators of Pathogens and Human Health Risks From Recreational Exposure to Waters Impaired by Fecal Contamination” With Related Project Ideas for Gwinnett County, Georgia","title":"Executive summary and annotated bibliography of selected references from “Microbial and viral indicators of pathogens and human health risks from recreational exposure to waters impaired by fecal contamination” with related project ideas for Gwinnett County, Georgia","docAbstract":"<p>This document was prepared in cooperation with Gwinnett County, Georgia, to supplement the journal article “Microbial and Viral Indicators of Pathogens and Human Health Risks from Recreational Exposure to Waters Impaired by Fecal Contamination” (published in <a href=\"https://doi.org/10.1061/JSWBAY.0000936\" data-mce-href=\"https://doi.org/10.1061/JSWBAY.0000936\">Journal of Sustainable Water in the Built Environment</a>). The document includes an executive summary of the article, project ideas for Gwinnett County to enhance its bacterial monitoring program, and an annotated bibliography of selected references from the article. Although tailored to Gwinnett County, the project ideas are based on the state of the science of monitoring for fecal-associated pathogens and pathogen indicators in impaired surface waters and may be of interest to water resources divisions of other municipalities.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20211028","collaboration":"Prepared in cooperation with Gwinnett County, Georgia","usgsCitation":"McKee, A.M., and Cruz, M.A., 2021, Executive summary and annotated bibliography of selected references from “Microbial and viral indicators of pathogens and human health risks from recreational exposure to waters impaired by fecal contamination” with related project ideas for Gwinnett County, Georgia: U.S. Geological Survey Open-File Report 2021–1028, 10 p., https://doi.org/10.3133/ofr20211028.","productDescription":"v, 10 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<a href=\"https://www.usgs.gov/centers/sa-water\" data-mce-href=\"https://www.usgs.gov/centers/sa-water\">South Atlantic Water Science Center</a><br>U.S. Geological Survey<br>1770 Corporate Drive, Suite 500<br>Norcross, GA 30093</p><p><a href=\"https://pubs.er.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Purpose and Scope</li><li>Executive Summary of the Journal Article</li><li>Journal Article-Related Project Ideas for Assessing Human Health Risks, Informing Mitigation Plans, and Guiding Management of Impaired Streams</li><li>Conclusions</li><li>References Cited</li><li>Annotated Bibliography of Selected References From the Journal Article</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2021-04-07","noUsgsAuthors":false,"publicationDate":"2021-04-07","publicationStatus":"PW","contributors":{"authors":[{"text":"McKee, Anna M. 0000-0003-2790-5320 amckee@usgs.gov","orcid":"https://orcid.org/0000-0003-2790-5320","contributorId":166725,"corporation":false,"usgs":true,"family":"McKee","given":"Anna","email":"amckee@usgs.gov","middleInitial":"M.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":813570,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cruz, Marcella A. 0000-0002-8100-8738","orcid":"https://orcid.org/0000-0002-8100-8738","contributorId":248871,"corporation":false,"usgs":true,"family":"Cruz","given":"Marcella","email":"","middleInitial":"A.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":813571,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70219532,"text":"70219532 - 2021 - The extent and variability of storm‐induced temperature changes in lakes measured with long‐term and high‐frequency data","interactions":[],"lastModifiedDate":"2021-06-01T17:44:21.710201","indexId":"70219532","displayToPublicDate":"2021-04-07T08:11:31","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2620,"text":"Limnology and Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"The extent and variability of storm‐induced temperature changes in lakes measured with long‐term and high‐frequency data","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>The intensity and frequency of storms are projected to increase in many regions of the world because of climate change. Storms can alter environmental conditions in many ecosystems. In lakes and reservoirs, storms can reduce epilimnetic temperatures from wind‐induced mixing with colder hypolimnetic waters, direct precipitation to the lake's surface, and watershed runoff. We analyzed 18 long‐term and high‐frequency lake datasets from 11 countries to assess the magnitude of wind‐ vs. rainstorm‐induced changes in epilimnetic temperature. We found small day‐to‐day epilimnetic temperature decreases in response to strong wind and heavy rain during stratified conditions. Day‐to‐day epilimnetic temperature decreased, on average, by 0.28°C during the strongest windstorms (storm mean daily wind speed among lakes: 6.7 ± 2.7 m s<sup>−1</sup>, 1 SD) and by 0.15°C after the heaviest rainstorms (storm mean daily rainfall: 21.3 ± 9.0 mm). The largest decreases in epilimnetic temperature were observed ≥2 d after sustained strong wind or heavy rain (top 5<sup>th</sup><span>&nbsp;</span>percentile of wind and rain events for each lake) in shallow and medium‐depth lakes. The smallest decreases occurred in deep lakes. Epilimnetic temperature change from windstorms, but not rainstorms, was negatively correlated with maximum lake depth. However, even the largest storm‐induced mean epilimnetic temperature decreases were typically &lt;2°C. Day‐to‐day temperature change, in the absence of storms, often exceeded storm‐induced temperature changes. Because storm‐induced temperature changes to lake surface waters were minimal, changes in other limnological variables (e.g., nutrient concentrations or light) from storms may have larger impacts on biological communities than temperature changes.</p></div></div>","language":"English","publisher":"Association for the Sciences of Limnology and Oceanography","doi":"10.1002/lno.11739","usgsCitation":"Doubek, J.P., Anneville, O., Dur, G., Lewandowska, A.M., Patil, V.P., Rusak, J.A., Salmaso, N., Seltmann, C.T., Straile, D., Urrutia-Cordero, P., Venail, P., Adrian, R., Alfonso, M., DeGasperi, C.L., de Eyto, E., Feuchtmayr, H., Gaiser, E., Girdner, S.F., Graham, J.L., Grossart, H., Hejzlar, J., Jacquet, S., Kirillin, G., Llames, M.E., Matsuzaki, S.S., Nodine, E., Piccolo, M.C., Pierson, D.C., Rimmer, A., Rudstam, L.G., Sadro, S., Swain, H.M., Thackeray, S.J., Thiery, W., Verburg, P., Zohary, T., and Stockwell, J.D., 2021, The extent and variability of storm‐induced temperature changes in lakes measured with long‐term and high‐frequency data: Limnology and Oceanography, v. 66, no. 5, p. 1979-1992, https://doi.org/10.1002/lno.11739.","productDescription":"14 p.","startPage":"1979","endPage":"1992","ipdsId":"IP-114984","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":452778,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/lno.11739","text":"Publisher Index Page"},{"id":385059,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"66","issue":"5","noUsgsAuthors":false,"publicationDate":"2021-04-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Doubek, Jonathan P.","contributorId":223151,"corporation":false,"usgs":false,"family":"Doubek","given":"Jonathan","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":814080,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anneville, Orlane","contributorId":147752,"corporation":false,"usgs":false,"family":"Anneville","given":"Orlane","affiliations":[{"id":16922,"text":"INRA UMR CARRTEL, Thonon-les-Bains, France","active":true,"usgs":false}],"preferred":false,"id":814156,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dur, Gael","contributorId":257391,"corporation":false,"usgs":false,"family":"Dur","given":"Gael","affiliations":[],"preferred":false,"id":814157,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lewandowska, Aleksandra M.","contributorId":223155,"corporation":false,"usgs":false,"family":"Lewandowska","given":"Aleksandra","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":814158,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Patil, Vijay P. 0000-0002-9357-194X vpatil@usgs.gov","orcid":"https://orcid.org/0000-0002-9357-194X","contributorId":203676,"corporation":false,"usgs":true,"family":"Patil","given":"Vijay","email":"vpatil@usgs.gov","middleInitial":"P.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":false,"id":814159,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rusak, James A. 0000-0002-4939-6478","orcid":"https://orcid.org/0000-0002-4939-6478","contributorId":150301,"corporation":false,"usgs":false,"family":"Rusak","given":"James","email":"","middleInitial":"A.","affiliations":[{"id":17970,"text":"Dorset Environmental Science Centre, Ontario Ministry of the Environment and Climate Change, Dorset, Ontario, Canada","active":true,"usgs":false}],"preferred":false,"id":814160,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Salmaso, Nico","contributorId":150302,"corporation":false,"usgs":false,"family":"Salmaso","given":"Nico","email":"","affiliations":[{"id":17976,"text":"Sustainable Agro-Ecosystems and Bioresources Department (IASMA) Research and Innovation Centre, Fondazione E. Mach, S. Michele all’Adige (Trento), Italy","active":true,"usgs":false}],"preferred":false,"id":814161,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Seltmann, Christian T.","contributorId":223157,"corporation":false,"usgs":false,"family":"Seltmann","given":"Christian","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":814162,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Straile, Dietmar","contributorId":150309,"corporation":false,"usgs":false,"family":"Straile","given":"Dietmar","email":"","affiliations":[{"id":17983,"text":"Department of Biology, Universitat Konstanz, Konstanz, Germany","active":true,"usgs":false}],"preferred":false,"id":814163,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Urrutia-Cordero, Pablo","contributorId":223159,"corporation":false,"usgs":false,"family":"Urrutia-Cordero","given":"Pablo","email":"","affiliations":[],"preferred":false,"id":814164,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Venail, Patrick","contributorId":48806,"corporation":false,"usgs":true,"family":"Venail","given":"Patrick","email":"","affiliations":[],"preferred":false,"id":814165,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Adrian, Rita","contributorId":8007,"corporation":false,"usgs":true,"family":"Adrian","given":"Rita","affiliations":[],"preferred":false,"id":814166,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Alfonso, Maria B.","contributorId":257392,"corporation":false,"usgs":false,"family":"Alfonso","given":"Maria B.","affiliations":[],"preferred":false,"id":814167,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"DeGasperi, Curtis L.","contributorId":257393,"corporation":false,"usgs":false,"family":"DeGasperi","given":"Curtis","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":814168,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"de Eyto, Elvira","contributorId":150319,"corporation":false,"usgs":false,"family":"de Eyto","given":"Elvira","affiliations":[{"id":17992,"text":"Marine Institute","active":true,"usgs":false}],"preferred":false,"id":814169,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Feuchtmayr, Heidrun","contributorId":257394,"corporation":false,"usgs":false,"family":"Feuchtmayr","given":"Heidrun","email":"","affiliations":[],"preferred":false,"id":814170,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Gaiser, Evelyn","contributorId":61727,"corporation":false,"usgs":true,"family":"Gaiser","given":"Evelyn","affiliations":[],"preferred":false,"id":814171,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Girdner, Scott F","contributorId":168526,"corporation":false,"usgs":false,"family":"Girdner","given":"Scott","email":"","middleInitial":"F","affiliations":[{"id":5106,"text":"National Park Service, Yellowstone National Park, Mammoth, Wyoming 82190","active":true,"usgs":false}],"preferred":false,"id":814172,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Graham, Jennifer L. 0000-0002-6420-9335 jlgraham@usgs.gov","orcid":"https://orcid.org/0000-0002-6420-9335","contributorId":1769,"corporation":false,"usgs":true,"family":"Graham","given":"Jennifer","email":"jlgraham@usgs.gov","middleInitial":"L.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":814173,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Grossart, Hans-Peter 0000-0002-9141-0325","orcid":"https://orcid.org/0000-0002-9141-0325","contributorId":194460,"corporation":false,"usgs":false,"family":"Grossart","given":"Hans-Peter","email":"","affiliations":[],"preferred":false,"id":814174,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Hejzlar, Josef 0000-0002-7186-4776","orcid":"https://orcid.org/0000-0002-7186-4776","contributorId":243013,"corporation":false,"usgs":false,"family":"Hejzlar","given":"Josef","email":"","affiliations":[{"id":38766,"text":"Institute of Hydrobiology, Czech Republic","active":true,"usgs":false}],"preferred":false,"id":814175,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Jacquet, Stephan","contributorId":243014,"corporation":false,"usgs":false,"family":"Jacquet","given":"Stephan","email":"","affiliations":[{"id":48609,"text":"INRA CARRTEL, France","active":true,"usgs":false}],"preferred":false,"id":814176,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Kirillin, Georgiy 0000-0001-7337-3586","orcid":"https://orcid.org/0000-0001-7337-3586","contributorId":244076,"corporation":false,"usgs":false,"family":"Kirillin","given":"Georgiy","email":"","affiliations":[{"id":38332,"text":"Leibniz-Institute of Freshwater Ecology and Inland Fisheries","active":true,"usgs":false}],"preferred":false,"id":814177,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Llames, Maria E.","contributorId":223156,"corporation":false,"usgs":false,"family":"Llames","given":"Maria","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":814178,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Matsuzaki, Shin-Ichiro S.","contributorId":203197,"corporation":false,"usgs":false,"family":"Matsuzaki","given":"Shin-Ichiro","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":814179,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Nodine, Emily","contributorId":194471,"corporation":false,"usgs":false,"family":"Nodine","given":"Emily","email":"","affiliations":[],"preferred":false,"id":814180,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Piccolo, Maria Cintia","contributorId":257395,"corporation":false,"usgs":false,"family":"Piccolo","given":"Maria","email":"","middleInitial":"Cintia","affiliations":[],"preferred":false,"id":814181,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Pierson, Donald C. 0000-0001-6230-0146","orcid":"https://orcid.org/0000-0001-6230-0146","contributorId":204090,"corporation":false,"usgs":false,"family":"Pierson","given":"Donald","email":"","middleInitial":"C.","affiliations":[{"id":36836,"text":"Department of Ecology and Genetics, Uppsala University","active":true,"usgs":false}],"preferred":false,"id":814182,"contributorType":{"id":1,"text":"Authors"},"rank":28},{"text":"Rimmer, Alon","contributorId":150298,"corporation":false,"usgs":false,"family":"Rimmer","given":"Alon","email":"","affiliations":[{"id":17973,"text":"Israel Oceanographic and Limnological Research, The Lake Kinneret Limnological Laboratory, Migdal, Israel","active":true,"usgs":false}],"preferred":false,"id":814183,"contributorType":{"id":1,"text":"Authors"},"rank":29},{"text":"Rudstam, Lars G.","contributorId":56609,"corporation":false,"usgs":false,"family":"Rudstam","given":"Lars","email":"","middleInitial":"G.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":814184,"contributorType":{"id":1,"text":"Authors"},"rank":30},{"text":"Sadro, Steven 0000-0002-6416-3840","orcid":"https://orcid.org/0000-0002-6416-3840","contributorId":139662,"corporation":false,"usgs":false,"family":"Sadro","given":"Steven","email":"","affiliations":[{"id":12871,"text":"Marine Science Institute, University of California, Santa Barbara, CA, USA","active":true,"usgs":false}],"preferred":false,"id":814185,"contributorType":{"id":1,"text":"Authors"},"rank":31},{"text":"Swain, Hilary M.","contributorId":257396,"corporation":false,"usgs":false,"family":"Swain","given":"Hilary","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":814186,"contributorType":{"id":1,"text":"Authors"},"rank":32},{"text":"Thackeray, Stephen J.","contributorId":197253,"corporation":false,"usgs":false,"family":"Thackeray","given":"Stephen","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":814187,"contributorType":{"id":1,"text":"Authors"},"rank":33},{"text":"Thiery, Wim","contributorId":223158,"corporation":false,"usgs":false,"family":"Thiery","given":"Wim","email":"","affiliations":[],"preferred":false,"id":814188,"contributorType":{"id":1,"text":"Authors"},"rank":34},{"text":"Verburg, Piet","contributorId":150311,"corporation":false,"usgs":false,"family":"Verburg","given":"Piet","email":"","affiliations":[{"id":17985,"text":"National Institute of Water and Atmospheric Research, Hamilton, New Zealand","active":true,"usgs":false}],"preferred":false,"id":814189,"contributorType":{"id":1,"text":"Authors"},"rank":35},{"text":"Zohary, Tamar","contributorId":223160,"corporation":false,"usgs":false,"family":"Zohary","given":"Tamar","email":"","affiliations":[],"preferred":false,"id":814190,"contributorType":{"id":1,"text":"Authors"},"rank":36},{"text":"Stockwell, Jason D. 0000-0003-3393-6799","orcid":"https://orcid.org/0000-0003-3393-6799","contributorId":61004,"corporation":false,"usgs":false,"family":"Stockwell","given":"Jason","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":814191,"contributorType":{"id":1,"text":"Authors"},"rank":37}]}}
,{"id":70227012,"text":"70227012 - 2021 - Diagenesis revealed by fine-scale features at Vera Rubin ridge, Gale crater, Mars","interactions":[],"lastModifiedDate":"2021-12-27T14:06:20.930698","indexId":"70227012","displayToPublicDate":"2021-04-07T08:03:40","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9967,"text":"JGR Planets","active":true,"publicationSubtype":{"id":10}},"title":"Diagenesis revealed by fine-scale features at Vera Rubin ridge, Gale crater, Mars","docAbstract":"<div class=\"article-section__content en main\"><p>Fine-scale (submillimeter to centimeter) depositional and diagenetic features encountered during the<span>&nbsp;</span><i>Curiosity</i><span>&nbsp;</span>rover's traverse in Gale crater provide a means to understand the geologic history of Vera Rubin ridge (VRR). VRR is a topographically high feature on the lower north slope of Aeolis Mons, a 5-km high stratified mound within Gale crater. We use high-spatial resolution images from the Mars Hand Lens Imager (MAHLI) as well as grain sizes estimated with the Gini index mean score technique that uses ChemCam Laser-Induced Breakdown Spectroscopy (LIBS) chemical data to constrain the postdepositional history of the strata exposed on this ridge. MAHLI images were used to examine the color, grain size, and style of lamination of the host rocks, as well as to explore the occurrence of nodules, diagenetic crystals, pits, and a variety of dark-gray iron-rich features. This survey revealed abundant and widespread diagenetic features within the rocks exposed on VRR and demonstrated that rock targets estimated to be coarser generally contain more diagenetic features than those estimated to have finer grains, which indicate that grain size may have influenced the degree and type of diagenesis. A subset of rocks within VRR are gray in color and exhibit the highest proportion of diagenetic features. We suggest that these targets experienced a different diagenetic history than the other rocks on VRR and hypothesize that redistribution and recrystallization of iron within specific intervals may have resulted in both the gray color and the abundance of dark-gray iron-rich diagenetic features.</p></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019JE006311","usgsCitation":"Bennett, K.A., Rivera-Hernandez, F., Tinker, C., Horgan, B.H., Fey, D.M., Edwards, C.S., Edgar, L.A., Kronyak, R., Edgett, K.S., Fraeman, A.A., Kah, L.C., Henderson, M., Stein, N., Dehouck, E., and Williams, A., 2021, Diagenesis revealed by fine-scale features at Vera Rubin ridge, Gale crater, Mars: JGR Planets, v. 126, no. 5, e2019JE006311, 24 p., https://doi.org/10.1029/2019JE006311.","productDescription":"e2019JE006311, 24 p.","ipdsId":"IP-114170","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":452782,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1029/2019je006311","text":"External Repository"},{"id":393407,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"126","issue":"5","noUsgsAuthors":false,"publicationDate":"2021-05-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Bennett, Kristen A. 0000-0001-8105-7129","orcid":"https://orcid.org/0000-0001-8105-7129","contributorId":237068,"corporation":false,"usgs":true,"family":"Bennett","given":"Kristen","email":"","middleInitial":"A.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":829200,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rivera-Hernandez, Frances","contributorId":270378,"corporation":false,"usgs":false,"family":"Rivera-Hernandez","given":"Frances","affiliations":[{"id":39657,"text":"Dartmouth College","active":true,"usgs":false}],"preferred":false,"id":829201,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tinker, Connor","contributorId":270379,"corporation":false,"usgs":false,"family":"Tinker","given":"Connor","email":"","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":829202,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Horgan, Briony H. N. 0000-0001-6314-9724","orcid":"https://orcid.org/0000-0001-6314-9724","contributorId":258276,"corporation":false,"usgs":false,"family":"Horgan","given":"Briony","email":"","middleInitial":"H. N.","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":829203,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fey, Deirdra M.","contributorId":214028,"corporation":false,"usgs":false,"family":"Fey","given":"Deirdra","email":"","middleInitial":"M.","affiliations":[{"id":36716,"text":"Malin Space Science Systems","active":true,"usgs":false}],"preferred":false,"id":829204,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Edwards, C. S.","contributorId":270383,"corporation":false,"usgs":false,"family":"Edwards","given":"C.","email":"","middleInitial":"S.","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":829205,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Edgar, Lauren A. 0000-0001-7512-7813 ledgar@usgs.gov","orcid":"https://orcid.org/0000-0001-7512-7813","contributorId":167501,"corporation":false,"usgs":true,"family":"Edgar","given":"Lauren","email":"ledgar@usgs.gov","middleInitial":"A.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":829206,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kronyak, Rachel","contributorId":181503,"corporation":false,"usgs":false,"family":"Kronyak","given":"Rachel","email":"","affiliations":[],"preferred":false,"id":829207,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Edgett, Kenneth S.","contributorId":203786,"corporation":false,"usgs":false,"family":"Edgett","given":"Kenneth","email":"","middleInitial":"S.","affiliations":[{"id":36716,"text":"Malin Space Science Systems","active":true,"usgs":false}],"preferred":false,"id":829208,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Fraeman, Abigail A.","contributorId":200404,"corporation":false,"usgs":false,"family":"Fraeman","given":"Abigail","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":829209,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Kah, Linda C.","contributorId":181497,"corporation":false,"usgs":false,"family":"Kah","given":"Linda","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":829210,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Henderson, Marie","contributorId":270376,"corporation":false,"usgs":false,"family":"Henderson","given":"Marie","email":"","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":829211,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Stein, Nathan","contributorId":167651,"corporation":false,"usgs":false,"family":"Stein","given":"Nathan","affiliations":[{"id":24730,"text":"Department of Earth and Planetary Sciences, Washington University in St. Louis","active":true,"usgs":false}],"preferred":false,"id":829212,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Dehouck, Erwin","contributorId":270386,"corporation":false,"usgs":false,"family":"Dehouck","given":"Erwin","email":"","affiliations":[{"id":56160,"text":"Université de Lyon","active":true,"usgs":false}],"preferred":false,"id":829213,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Williams, Amy","contributorId":176785,"corporation":false,"usgs":false,"family":"Williams","given":"Amy","affiliations":[],"preferred":false,"id":829214,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70220254,"text":"70220254 - 2021 - Stable oxygen isotopes in shallow marine ostracodes from the northern Bering and Chukchi Seas","interactions":[],"lastModifiedDate":"2021-04-29T12:46:23.894122","indexId":"70220254","displayToPublicDate":"2021-04-07T07:42:21","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2673,"text":"Marine Micropaleontology","active":true,"publicationSubtype":{"id":10}},"title":"Stable oxygen isotopes in shallow marine ostracodes from the northern Bering and Chukchi Seas","docAbstract":"<p>Stable oxygen isotope measurements on calcitic valves of benthic ostracodes (δ18Oost) from the northern Bering and Chukchi Seas were used to examine ecological and hydrographic processes governing ostracode and associated seawater δ18O values. Five cryophilic taxa were analyzed for δ18Oost values: Sarsicytheridea bradii; Paracyprideis pseudopunctillata; Heterocyprideis sorbyana; Heterocyprideis fascis; and the subarctic species Normanicythere leioderma. Controls on the stable oxygen isotope composition of ostracode calcite were investigated by first establishing species' vital effects and then comparing δ18Oost to seawater δ18O values (that ranged from −2.7 to −0.5‰), CTD temperature (−1.7 to 8.7 °C) and salinity (30–34) measured at sampling stations in the Bering and Chukchi Seas during the six summers of 2013–2018. Results from 297 δ18Oost measurements from 53 sites on the Bering and Chukchi Sea continental shelves are consistent with the temporal and spatial variation in δ18O values of continental shelf bottom water, as impacted by seasonality, regional hydrography, and physical processes (i.e., sea-ice melt and extent, vertical mixing, precipitation/evaporation). Regression statistics for δ18Oost values of two species, N. leioderma and P. pseudopunctillata, showed correlations to temperature and salinity that may facilitate prediction of water-mass characteristics when applied to sediment core records. Specifically, a significant linear regression relationship was found between δ18Oost values of N. leioderma and P. pseudopunctillata and temperature (R2 = 0.67 and 0.52, respectively). A principal component analysis confirmed temperature as the main controlling factor in the δ18Oost values of all species except S. bradii, with samples of distinct water masses grouping together. The δ18Oost values of S. bradii exhibited a narrow range of values (~3 to 4.5‰) across a temperature range of 10 °C. Due to strong vital effects and possibly other undetermined factors, the incorporation of δ18Oost in S. bradii was not driven by any obvious predominant environmental factors.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.marmicro.2021.101979","usgsCitation":"Gemery, L., Cooper, L., Magen, C., Cronin, T.M., and Grebmeier, J., 2021, Stable oxygen isotopes in shallow marine ostracodes from the northern Bering and Chukchi Seas: Marine Micropaleontology, v. 165, 101979, 24 p., https://doi.org/10.1016/j.marmicro.2021.101979.","productDescription":"101979, 24 p.","ipdsId":"IP-119695","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":452783,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.marmicro.2021.101979","text":"Publisher Index Page"},{"id":385384,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"165","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gemery, Laura 0000-0003-1966-8732","orcid":"https://orcid.org/0000-0003-1966-8732","contributorId":245413,"corporation":false,"usgs":true,"family":"Gemery","given":"Laura","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":814910,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cooper, L.W.","contributorId":257751,"corporation":false,"usgs":false,"family":"Cooper","given":"L.W.","email":"","affiliations":[],"preferred":false,"id":814962,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Magen, C","contributorId":140084,"corporation":false,"usgs":false,"family":"Magen","given":"C","affiliations":[{"id":13382,"text":"Earth, Ocean and Atmospheric Science, Florida State University, Tallahassee, Florida 32306","active":true,"usgs":false}],"preferred":false,"id":814963,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cronin, T. M. 0000-0002-2643-0979","orcid":"https://orcid.org/0000-0002-2643-0979","contributorId":42613,"corporation":false,"usgs":true,"family":"Cronin","given":"T.","email":"","middleInitial":"M.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":false,"id":814964,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Grebmeier, J.M.","contributorId":43932,"corporation":false,"usgs":true,"family":"Grebmeier","given":"J.M.","affiliations":[],"preferred":false,"id":814965,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70219463,"text":"70219463 - 2021 - Earthquakes indicated magma viscosity during Kīlauea’s 2018 eruption","interactions":[],"lastModifiedDate":"2021-04-08T12:37:11.73801","indexId":"70219463","displayToPublicDate":"2021-04-07T07:34:31","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2840,"text":"Nature","active":true,"publicationSubtype":{"id":10}},"title":"Earthquakes indicated magma viscosity during Kīlauea’s 2018 eruption","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>Magma viscosity strongly controls the style (for example, explosive versus effusive) of a volcanic eruption and thus its hazard potential, but can only be measured during or after an eruption. The identification of precursors indicative of magma viscosity would enable forecasting of the eruption style and the scale of associated hazards<sup>1</sup>. The unanticipated May 2018 rift intrusion and eruption of Kīlauea Volcano, Hawai‘i<sup>2</sup><span>&nbsp;</span>displayed exceptional chemical and thermal variability in erupted lavas, leading to unpredictable effusion rates and explosivity. Here, using an integrated analysis of seismicity and magma rheology, we show that the orientation of fault-plane solutions (which indicate a fault’s orientation and sense of movement) for earthquakes preceding and accompanying the 2018 eruption indicate a 90-degree local stress-field rotation from background, a phenomenon previously observed only at high-viscosity eruptions<sup>3</sup>, and never before at Kīlauea<sup>4,5,6,7,8</sup>. Experimentally obtained viscosities for 2018 products and earlier lavas from the Pu‘u ‘Ō‘ō vents tightly constrain the viscosity threshold required for local stress-field reorientation. We argue that rotated fault-plane solutions in earthquake swarms at Kīlauea and other volcanoes worldwide provide an early indication that unrest involves magma of heightened viscosity, and thus real-time monitoring of the orientations of fault-plane solutions could provide critical information about the style of an impending eruption. Furthermore, our results provide insight into the fundamental nature of coupled failure and flow in complex multiphase systems.</p></div></div>","language":"English","publisher":"Nature","doi":"10.1038/s41586-021-03400-x","usgsCitation":"Roman, D., Soldati, A., Dingwell, D.B., Houghton, B.F., and Shiro, B., 2021, Earthquakes indicated magma viscosity during Kīlauea’s 2018 eruption: Nature, v. 592, p. 237-241, https://doi.org/10.1038/s41586-021-03400-x.","productDescription":"5 p.","startPage":"237","endPage":"241","ipdsId":"IP-119996","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":384921,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kīlauea volcano","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -155.32745361328125,\n              19.36427174188655\n            ],\n            [\n              -155.1976776123047,\n              19.36427174188655\n            ],\n            [\n              -155.1976776123047,\n              19.462707821188026\n            ],\n            [\n              -155.32745361328125,\n              19.462707821188026\n            ],\n            [\n              -155.32745361328125,\n              19.36427174188655\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"592","noUsgsAuthors":false,"publicationDate":"2021-04-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Roman, Diana","contributorId":237832,"corporation":false,"usgs":false,"family":"Roman","given":"Diana","affiliations":[{"id":47620,"text":"Dept. of Terrestrial Magnetism, Carnegie Institution for Science, Washington DC 20015","active":true,"usgs":false}],"preferred":false,"id":813678,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Soldati, Arianna 0000-0001-9835-4429","orcid":"https://orcid.org/0000-0001-9835-4429","contributorId":257022,"corporation":false,"usgs":false,"family":"Soldati","given":"Arianna","email":"","affiliations":[{"id":51956,"text":"Ludwig-Maximilians-Universität München","active":true,"usgs":false}],"preferred":false,"id":813679,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dingwell, Donald Bruce 0000-0002-3332-789X","orcid":"https://orcid.org/0000-0002-3332-789X","contributorId":257023,"corporation":false,"usgs":false,"family":"Dingwell","given":"Donald","email":"","middleInitial":"Bruce","affiliations":[{"id":51956,"text":"Ludwig-Maximilians-Universität München","active":true,"usgs":false}],"preferred":false,"id":813680,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Houghton, Bruce F. 0000-0002-7532-9770","orcid":"https://orcid.org/0000-0002-7532-9770","contributorId":140077,"corporation":false,"usgs":false,"family":"Houghton","given":"Bruce","email":"","middleInitial":"F.","affiliations":[{"id":6977,"text":"University of Hawai`i at Hilo","active":true,"usgs":false},{"id":13351,"text":"University of Hawaii Cooperative Studies Unit","active":true,"usgs":false}],"preferred":false,"id":813681,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shiro, Brian 0000-0001-8756-288X","orcid":"https://orcid.org/0000-0001-8756-288X","contributorId":204040,"corporation":false,"usgs":true,"family":"Shiro","given":"Brian","email":"","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":813682,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70219478,"text":"70219478 - 2021 - A new addition to the embalmed fauna of ancient Egypt: Güldenstaedt’s White-toothed Shrew, Crocidura gueldenstaedtii (Pallas, 1811) (Mammalia: Eulipotyphla: Soricidae)","interactions":[],"lastModifiedDate":"2021-04-09T12:31:22.988665","indexId":"70219478","displayToPublicDate":"2021-04-07T07:26:05","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"A new addition to the embalmed fauna of ancient Egypt: Güldenstaedt’s White-toothed Shrew, Crocidura gueldenstaedtii (Pallas, 1811) (Mammalia: Eulipotyphla: Soricidae)","docAbstract":"<div class=\"abstract toc-section abstract-type-\"><div class=\"abstract-content\"><p>The Falcon Necropolis at Quesna in the Nile Delta of Egypt is considered to have been founded by the priest Djedhor, the Saviour, of Athribis (Tell Atrib in modern Benha) at the beginning of the Ptolemaic Period. Recent excavations here have revealed abundant avian remains from mummies dedicated to the ancient Egyptian god Horus Khenty-Khety. Among the few mammal remains from the site are five species of shrews (Eulipotyphla: Soricidae), including some that we identified as Güldenstaedt’s White-toothed Shrew,<span>&nbsp;</span><i>Crocidura gueldenstaedtii</i><span>&nbsp;</span>(Pallas, 1811). Discovery of this species at Quesna increases the number of shrews recovered from ancient Egyptian archaeological sites to eight species.<span>&nbsp;</span><i>Crocidura gueldenstaedtii</i><span>&nbsp;</span>no longer occurs in the Nile Delta, and its presence in a diverse shrew fauna at Quesna that includes one other extirpated species,<span>&nbsp;</span><i>Crocidura fulvastra</i><span>&nbsp;</span>(Sundevall, 1843), supports the hypothesis of a moister regional environment 2000–3000 years ago. Inadvertently preserved local faunas, such as that from Quesna, can provide valuable information about ancient environments and subsequent turnover in faunal communities.</p></div></div><div id=\"figure-carousel-section\"><br></div>","language":"English","publisher":"PLoS One","doi":"10.1371/journal.pone.0249377","usgsCitation":"Woodman, N., Ikram, S., and Rowland, J., 2021, A new addition to the embalmed fauna of ancient Egypt: Güldenstaedt’s White-toothed Shrew, Crocidura gueldenstaedtii (Pallas, 1811) (Mammalia: Eulipotyphla: Soricidae): PLoS ONE, v. 16, no. 4, e0249377, 11 p., https://doi.org/10.1371/journal.pone.0249377.","productDescription":"e0249377, 11 p.","ipdsId":"IP-127447","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":452788,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0249377","text":"Publisher Index Page"},{"id":384969,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Egypt","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[34.9226,29.50133],[34.64174,29.09942],[34.42655,28.34399],[34.15451,27.8233],[33.92136,27.6487],[33.58811,27.97136],[33.13676,28.41765],[32.42323,29.85108],[32.32046,29.76043],[32.73482,28.70523],[33.34876,27.69989],[34.10455,26.14227],[34.47387,25.59856],[34.79507,25.03375],[35.69241,23.92671],[35.49372,23.75237],[35.52598,23.10244],[36.69069,22.20485],[36.86623,22],[32.9,22],[29.02,22],[25,22],[25,25.6825],[25,29.23865],[24.70007,30.04419],[24.95762,30.6616],[24.80287,31.08929],[25.16482,31.56915],[26.49533,31.58568],[27.45762,31.32126],[28.45048,31.02577],[28.91353,30.87005],[29.68342,31.18686],[30.09503,31.4734],[30.97693,31.55586],[31.68796,31.4296],[31.96041,30.9336],[32.19247,31.26034],[32.99392,31.02407],[33.7734,30.96746],[34.26544,31.21936],[34.9226,29.50133]]]},\"properties\":{\"name\":\"Egypt\"}}]}","volume":"16","issue":"4","noUsgsAuthors":false,"publicationDate":"2021-04-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Woodman, Neal 0000-0003-2689-7373 nwoodman@usgs.gov","orcid":"https://orcid.org/0000-0003-2689-7373","contributorId":3547,"corporation":false,"usgs":true,"family":"Woodman","given":"Neal","email":"nwoodman@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":813727,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ikram, Salima","contributorId":245249,"corporation":false,"usgs":false,"family":"Ikram","given":"Salima","affiliations":[{"id":49125,"text":"American University in Cairo","active":true,"usgs":false}],"preferred":false,"id":813728,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rowland, Joanne","contributorId":257046,"corporation":false,"usgs":false,"family":"Rowland","given":"Joanne","email":"","affiliations":[{"id":51967,"text":"Department of Archaeology, School of History, Classics, and Archaeology, The University of Edinburgh, Edinburgh, Scotland","active":true,"usgs":false}],"preferred":false,"id":813729,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70219482,"text":"70219482 - 2021 - Using enclosed Y-mazes to assess chemosensory behavior in reptiles","interactions":[],"lastModifiedDate":"2021-04-12T11:48:07.072909","indexId":"70219482","displayToPublicDate":"2021-04-07T07:05:26","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2498,"text":"Journal of Visualized Experiments","active":true,"publicationSubtype":{"id":10}},"title":"Using enclosed Y-mazes to assess chemosensory behavior in reptiles","docAbstract":"Reptiles utilize a variety of environmental cues to inform and drive animal behavior such as chemical scent trails produced by food or conspecifics. Decrypting the scent-trailing behavior of vertebrates, particularly invasive species, enables the discovery of cues that induce exploratory behavior and can aid in the development of valuable basic and applied biological tools. However, pinpointing behaviors dominantly driven by chemical cues versus other competing environmental cues can be challenging. Y-mazes are common tools used in animal behavior research that allow quantification of vertebrate chemosensory behavior across a range of taxa. By reducing external stimuli, Y-mazes remove confounding factors and present focal animals with a binary choice. In our Y-maze studies, a scenting animal is restricted to one arm of the maze to leave a scent trail and is removed once scent-laying parameters have been met. Then, depending on the trial type, either the focal animal is allowed into the maze, or a competing scent trail is created. The result is a record of the focal animal's choice and behavior while discriminating between the chemical cues presented. Here, two Y-maze apparatuses tailored to different invasive reptile species: Argentine black and white tegu lizards (Salvator merianae) and Burmese pythons (Python bivittatus) are described, outlining the operation and cleaning of these Y-mazes. Further, the variety of data produced, experimental drawbacks and solutions, and suggested data analysis frameworks have been summarized.","language":"English","publisher":"Jove","doi":"10.3791/61858","usgsCitation":"Parker, M.R., Currylow, A.F., Tillman, E.A., Robinson, C.J., Josimovich, J.M., Bukovich, I.M., Nazarian, L.A., Nafus, M.G., Kluever, B.M., and Yackel Adams, A.A., 2021, Using enclosed Y-mazes to assess chemosensory behavior in reptiles: Journal of Visualized Experiments, v. 170, e61858, 19 p., https://doi.org/10.3791/61858.","productDescription":"e61858, 19 p.","onlineOnly":"Y","ipdsId":"IP-120440","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":452792,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://digitalcommons.unl.edu/icwdm_usdanwrc/2437","text":"Publisher Index Page"},{"id":384963,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"170","noUsgsAuthors":false,"publicationDate":"2021-04-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Parker, M. Rockwell 0000-0003-0923-3911","orcid":"https://orcid.org/0000-0003-0923-3911","contributorId":257054,"corporation":false,"usgs":false,"family":"Parker","given":"M.","email":"","middleInitial":"Rockwell","affiliations":[{"id":16809,"text":"James Madison University","active":true,"usgs":false}],"preferred":false,"id":813752,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Currylow, Andrea Faye 0000-0003-1631-8964","orcid":"https://orcid.org/0000-0003-1631-8964","contributorId":257055,"corporation":false,"usgs":true,"family":"Currylow","given":"Andrea","email":"","middleInitial":"Faye","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":813753,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tillman, Eric A.","contributorId":257056,"corporation":false,"usgs":false,"family":"Tillman","given":"Eric","email":"","middleInitial":"A.","affiliations":[{"id":51974,"text":"US Department of Agriculture, National Wildlife Research Center, Gainesville, FL","active":true,"usgs":false}],"preferred":false,"id":813754,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Robinson, Charlotte J. 0000-0002-9156-1609","orcid":"https://orcid.org/0000-0002-9156-1609","contributorId":257057,"corporation":false,"usgs":false,"family":"Robinson","given":"Charlotte","email":"","middleInitial":"J.","affiliations":[{"id":51975,"text":"USGS Fort Collins Science Center (formerly)","active":true,"usgs":false}],"preferred":false,"id":813756,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Josimovich, Jillian Maureen 0000-0002-7523-3496 jjosimovich@usgs.gov","orcid":"https://orcid.org/0000-0002-7523-3496","contributorId":257058,"corporation":false,"usgs":true,"family":"Josimovich","given":"Jillian","email":"jjosimovich@usgs.gov","middleInitial":"Maureen","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":813757,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bukovich, Isabella M.G.","contributorId":257059,"corporation":false,"usgs":false,"family":"Bukovich","given":"Isabella","email":"","middleInitial":"M.G.","affiliations":[{"id":16809,"text":"James Madison University","active":true,"usgs":false}],"preferred":false,"id":813759,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nazarian, Lauren A.","contributorId":257060,"corporation":false,"usgs":false,"family":"Nazarian","given":"Lauren","email":"","middleInitial":"A.","affiliations":[{"id":16809,"text":"James Madison University","active":true,"usgs":false}],"preferred":false,"id":813760,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Nafus, Melia G. 0000-0002-7325-3055 mnafus@usgs.gov","orcid":"https://orcid.org/0000-0002-7325-3055","contributorId":197462,"corporation":false,"usgs":true,"family":"Nafus","given":"Melia","email":"mnafus@usgs.gov","middleInitial":"G.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":813761,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kluever, Bryan M.","contributorId":257061,"corporation":false,"usgs":false,"family":"Kluever","given":"Bryan","email":"","middleInitial":"M.","affiliations":[{"id":51974,"text":"US Department of Agriculture, National Wildlife Research Center, Gainesville, FL","active":true,"usgs":false}],"preferred":false,"id":813762,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Yackel Adams, Amy A. 0000-0002-7044-8447 yackela@usgs.gov","orcid":"https://orcid.org/0000-0002-7044-8447","contributorId":3116,"corporation":false,"usgs":true,"family":"Yackel Adams","given":"Amy","email":"yackela@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":813763,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70227405,"text":"70227405 - 2021 - Unsaturated flow processes and the onset of seasonal deformation in slow-moving landslides","interactions":[],"lastModifiedDate":"2022-01-13T12:39:42.609244","indexId":"70227405","displayToPublicDate":"2021-04-07T06:37:08","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5739,"text":"Journal of Geophysical Research: Earth Surface","onlineIssn":"2169-9011","active":true,"publicationSubtype":{"id":10}},"title":"Unsaturated flow processes and the onset of seasonal deformation in slow-moving landslides","docAbstract":"<div class=\"article-section__content en main\"><p>Predicting rainfall-induced landslide motion is challenging because shallow groundwater flow is extremely sensitive to the preexisting moisture content in the ground. Here, we use groundwater hydrology theory and numerical modeling combined with five years of field monitoring to illustrate how unsaturated groundwater flow processes modulate the seasonal pore water pressure rise and therefore the onset of motion for slow-moving landslides. The onset of landslide motion at Oak Ridge earthflow in California’s Diablo Range occurs after an abrupt water table rise to near the landslide surface 52–129&nbsp;days after seasonal rainfall commences. Model results and theory suggest that this abrupt rise occurs from the advection of a nearly saturated wetting front, which marks the leading edge of the integrated downward flux of seasonal rainfall, to the water table. Prior to this abrupt rise, we observe little measured pore water pressure response within the landslide due to rainfall. However, once the wetting front reaches the water table, we observe nearly instantaneous pore water pressure transmission within the landslide body that is accompanied by landslide acceleration. We cast the timescale to reach a critical pore water pressure threshold using a simple mass balance model that considers variable moisture storage with depth and explains the onset of seasonal landslide motion with a rainfall intensity-duration threshold. Our model shows that the seasonal response time of slow-moving landslides is controlled by the dry season vadose zone depth rather than the total landslide thickness.</p></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2020JF005758","usgsCitation":"Finnegan, N.J., Perkins, J.P., Nereson, A.L., and Handwerger, A.L., 2021, Unsaturated flow processes and the onset of seasonal deformation in slow-moving landslides: Journal of Geophysical Research: Earth Surface, v. 126, no. 5, e2020JF005758, 24 p., https://doi.org/10.1029/2020JF005758.","productDescription":"e2020JF005758, 24 p.","ipdsId":"IP-120077","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":452794,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://escholarship.org/uc/item/0nq8t3p8","text":"External Repository"},{"id":394303,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.65661621093749,\n              36.958671131530316\n            ],\n            [\n              -120.28930664062499,\n              36.958671131530316\n            ],\n            [\n              -120.28930664062499,\n              38.90385833966778\n            ],\n            [\n              -123.65661621093749,\n              38.90385833966778\n            ],\n            [\n              -123.65661621093749,\n              36.958671131530316\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"126","issue":"5","noUsgsAuthors":false,"publicationDate":"2021-05-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Finnegan, Noah J.","contributorId":198803,"corporation":false,"usgs":false,"family":"Finnegan","given":"Noah","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":830758,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Perkins, Jonathan P. 0000-0002-6113-338X","orcid":"https://orcid.org/0000-0002-6113-338X","contributorId":237053,"corporation":false,"usgs":true,"family":"Perkins","given":"Jonathan","email":"","middleInitial":"P.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":830759,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nereson, Alexander Lewis 0000-0003-4497-7019","orcid":"https://orcid.org/0000-0003-4497-7019","contributorId":271087,"corporation":false,"usgs":true,"family":"Nereson","given":"Alexander","email":"","middleInitial":"Lewis","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":830760,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Handwerger, Alexander L.","contributorId":218095,"corporation":false,"usgs":false,"family":"Handwerger","given":"Alexander","email":"","middleInitial":"L.","affiliations":[{"id":39742,"text":"Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA.","active":true,"usgs":false}],"preferred":false,"id":830761,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70220177,"text":"70220177 - 2021 - Editorial: Science and applications of coastal remote sensing","interactions":[],"lastModifiedDate":"2021-04-22T15:47:19.139635","indexId":"70220177","displayToPublicDate":"2021-04-06T10:44:53","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3912,"text":"Frontiers in Marine Science","onlineIssn":"2296-7745","active":true,"publicationSubtype":{"id":10}},"title":"Editorial: Science and applications of coastal remote sensing","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"Frontiers Media","doi":"10.3389/fmars.2021.641029","usgsCitation":"Turpie, K.R., Ackleson, S.G., Byrd, K.B., and Moisan, T.K., 2021, Editorial: Science and applications of coastal remote sensing: Frontiers in Marine Science, v. 8, 641029, 4 p., https://doi.org/10.3389/fmars.2021.641029.","productDescription":"641029, 4 p.","ipdsId":"IP-124473","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":452796,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fmars.2021.641029","text":"Publisher Index Page"},{"id":385285,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","noUsgsAuthors":false,"publicationDate":"2021-04-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Turpie, Kevin R.","contributorId":257569,"corporation":false,"usgs":false,"family":"Turpie","given":"Kevin","email":"","middleInitial":"R.","affiliations":[{"id":7083,"text":"University of Maryland","active":true,"usgs":false}],"preferred":false,"id":814640,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ackleson, Steven G.","contributorId":257570,"corporation":false,"usgs":false,"family":"Ackleson","given":"Steven","email":"","middleInitial":"G.","affiliations":[{"id":52059,"text":"Navy","active":true,"usgs":false}],"preferred":false,"id":814641,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Byrd, Kristin B. 0000-0002-5725-7486 kbyrd@usgs.gov","orcid":"https://orcid.org/0000-0002-5725-7486","contributorId":3814,"corporation":false,"usgs":true,"family":"Byrd","given":"Kristin","email":"kbyrd@usgs.gov","middleInitial":"B.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":814642,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moisan, Tiffany K.","contributorId":257571,"corporation":false,"usgs":false,"family":"Moisan","given":"Tiffany","email":"","middleInitial":"K.","affiliations":[{"id":38788,"text":"NASA","active":true,"usgs":false}],"preferred":false,"id":814643,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70228404,"text":"70228404 - 2021 - The American Kestrel (Falco sparverius) genoscape: Implications for monitoring, management, and subspecies boundaries","interactions":[],"lastModifiedDate":"2022-02-10T16:55:34.103523","indexId":"70228404","displayToPublicDate":"2021-04-06T10:35:03","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10109,"text":"Ornithology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"The American Kestrel (<i>Falco sparverius</i>) genoscape: Implications for monitoring, management, and subspecies boundaries","title":"The American Kestrel (Falco sparverius) genoscape: Implications for monitoring, management, and subspecies boundaries","docAbstract":"<p><span>Identifying population genetic structure is useful for inferring evolutionary process and comparing the resulting structure with subspecies boundaries can aid in species management. The American Kestrel (</span><i>Falco sparverius</i><span>) is a widespread and highly diverse species with 17 total subspecies, only 2 of which are found north of U.S./Mexico border (</span><i>F. s. paulus</i><span>&nbsp;is restricted to southeastern United States, while&nbsp;</span><i>F. s. sparverius</i><span>&nbsp;breeds across the remainder of the U.S. and Canadian distribution). In many parts of their U.S. and Canadian range, American Kestrels have been declining, but it has been difficult to interpret demographic trends without a clearer understanding of gene flow among populations. Here we sequence the first American Kestrel genome and scan the genome of 197 individuals from 12 sampling locations across the United States and Canada in order to identify population structure. To validate signatures of population structure and fill in sampling gaps across the U.S. and Canadian range, we screened 192 outlier loci in an additional 376 samples from 34 sampling locations. Overall, our analyses support the existence of 5 genetically distinct populations of American Kestrels—eastern, western, Texas, Florida, and Alaska. Interestingly, we found that while our genome-wide genetic data support the existence of previously described subspecies boundaries in the United States and Canada, genetic differences across the sampled range correlate more with putative migratory phenotypes (resident, long-distance, and short-distance migrants) rather than a priori described subspecies boundaries per se. Based on our results, we suggest the resulting 5 genetically distinct populations serve as the foundation for American Kestrel conservation and management in the face of future threats.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/auk/ukaa051","usgsCitation":"Ruegg, K.C., Brinkmeyer, M., Bossu, C.M., Bay, R., Anderson, E.C., Boal, C.W., Dawson, R.D., Eschenbauch, A., McClure, C.J., Miller, K.E., Morrow, L., Morrow, J.R., Oleyar, M.D., Ralph, B., Schulwitz, S., Swem, T., Therrien, J.F., Van Buskirk, R., Smith, T.B., and Heath, J.A., 2021, The American Kestrel (Falco sparverius) genoscape: Implications for monitoring, management, and subspecies boundaries: Ornithology, v. 138, no. 2, ukaa051, https://doi.org/10.1093/auk/ukaa051.","productDescription":"ukaa051","ipdsId":"IP-115588","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":452797,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/auk/ukaa051","text":"Publisher Index Page"},{"id":395779,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","volume":"138","issue":"2","noUsgsAuthors":false,"publicationDate":"2021-04-24","publicationStatus":"PW","contributors":{"editors":[{"text":"Therrien, J-F.","contributorId":275699,"corporation":false,"usgs":false,"family":"Therrien","given":"J-F.","email":"","affiliations":[{"id":51980,"text":"Hawk Mountain Sanctuary","active":true,"usgs":false}],"preferred":false,"id":834226,"contributorType":{"id":2,"text":"Editors"},"rank":16}],"authors":[{"text":"Ruegg, K. C.","contributorId":275671,"corporation":false,"usgs":false,"family":"Ruegg","given":"K.","email":"","middleInitial":"C.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":834208,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brinkmeyer, M.","contributorId":275672,"corporation":false,"usgs":false,"family":"Brinkmeyer","given":"M.","email":"","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":834209,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bossu, C. M.","contributorId":275674,"corporation":false,"usgs":false,"family":"Bossu","given":"C.","email":"","middleInitial":"M.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":834315,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bay, R.","contributorId":275673,"corporation":false,"usgs":false,"family":"Bay","given":"R.","email":"","affiliations":[{"id":36629,"text":"University of California","active":true,"usgs":false}],"preferred":false,"id":834210,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Anderson, E. C.","contributorId":275675,"corporation":false,"usgs":false,"family":"Anderson","given":"E.","email":"","middleInitial":"C.","affiliations":[{"id":36612,"text":"National Marine Fisheries Service","active":true,"usgs":false}],"preferred":false,"id":834212,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Boal, Clint W. 0000-0001-6008-8911 cboal@usgs.gov","orcid":"https://orcid.org/0000-0001-6008-8911","contributorId":1909,"corporation":false,"usgs":true,"family":"Boal","given":"Clint","email":"cboal@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":834213,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dawson, R. D.","contributorId":275676,"corporation":false,"usgs":false,"family":"Dawson","given":"R.","email":"","middleInitial":"D.","affiliations":[{"id":49840,"text":"University of Northern British Columbia","active":true,"usgs":false}],"preferred":false,"id":834214,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Eschenbauch, A.","contributorId":275681,"corporation":false,"usgs":false,"family":"Eschenbauch","given":"A.","email":"","affiliations":[{"id":56878,"text":"Central Wisconsin Kestrel Research","active":true,"usgs":false}],"preferred":false,"id":834215,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"McClure, C. J. W.","contributorId":275685,"corporation":false,"usgs":false,"family":"McClure","given":"C.","email":"","middleInitial":"J. W.","affiliations":[{"id":56879,"text":"The Pergrine Fund","active":true,"usgs":false}],"preferred":false,"id":834216,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Miller, K. E.","contributorId":275688,"corporation":false,"usgs":false,"family":"Miller","given":"K.","email":"","middleInitial":"E.","affiliations":[{"id":12556,"text":"Florida Fish and Wildlife Conservation Commission","active":true,"usgs":false}],"preferred":false,"id":834217,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Morrow, L.","contributorId":275692,"corporation":false,"usgs":false,"family":"Morrow","given":"L.","email":"","affiliations":[{"id":56880,"text":"Shenandoah Valley Raptor Study Area","active":true,"usgs":false}],"preferred":false,"id":834218,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Morrow, J. R.","contributorId":58716,"corporation":false,"usgs":false,"family":"Morrow","given":"J.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":834219,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Oleyar, M. D.","contributorId":275693,"corporation":false,"usgs":false,"family":"Oleyar","given":"M.","email":"","middleInitial":"D.","affiliations":[{"id":35596,"text":"HawkWatch International","active":true,"usgs":false}],"preferred":false,"id":834220,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Ralph, B.","contributorId":275694,"corporation":false,"usgs":false,"family":"Ralph","given":"B.","email":"","affiliations":[{"id":56883,"text":"Yosemite Area Audubon Society","active":true,"usgs":false}],"preferred":false,"id":834221,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Schulwitz, S.","contributorId":275695,"corporation":false,"usgs":false,"family":"Schulwitz","given":"S.","affiliations":[{"id":36583,"text":"The Peregrine Fund","active":true,"usgs":false}],"preferred":false,"id":834222,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Swem, T.","contributorId":275696,"corporation":false,"usgs":false,"family":"Swem","given":"T.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":834223,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Therrien, J. F.","contributorId":243502,"corporation":false,"usgs":false,"family":"Therrien","given":"J.","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":834316,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Van Buskirk, Rich","contributorId":275812,"corporation":false,"usgs":false,"family":"Van Buskirk","given":"Rich","email":"","affiliations":[],"preferred":false,"id":834317,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Smith, T. B.","contributorId":275697,"corporation":false,"usgs":false,"family":"Smith","given":"T.","email":"","middleInitial":"B.","affiliations":[{"id":36629,"text":"University of California","active":true,"usgs":false}],"preferred":false,"id":834224,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Heath, J. A.","contributorId":275698,"corporation":false,"usgs":false,"family":"Heath","given":"J.","email":"","middleInitial":"A.","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":834225,"contributorType":{"id":1,"text":"Authors"},"rank":20}]}}
,{"id":70219423,"text":"70219423 - 2021 - A reassessment of Chao2 estimates for population monitoring of grizzly bears in the Greater Yellowstone Ecosystem","interactions":[],"lastModifiedDate":"2021-04-15T15:26:51.238749","indexId":"70219423","displayToPublicDate":"2021-04-06T10:17:12","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"A reassessment of Chao2 estimates for population monitoring of grizzly bears in the Greater Yellowstone Ecosystem","docAbstract":"<p>The Yellowstone Ecosystem Subcommittee (YES) asked the Interagency Grizzly Bear Study Team (IGBST) to re-assess a technique used in annual population estimation and trend monitoring of grizzly bears in the Greater Yellowstone Ecosystem (GYE). This technique is referred to as the Chao2 approach and estimates the number of females with cubs-of-the-year (hereafter, females with cubs) and, in association with other demographic data, is used by the IGBST to produce annual population estimates. Females with cubs are an easily recognizable population segment, and trends for this reproductive segment of the population are assumed to be representative of trend for the entire population. </p><p>The overarching objective of the analyses presented in this report was to provide a more accurate representation of the GYE grizzly bear population using the current methodologies in place. Specifically, we addressed two limitations of the current Chao2 approach: 1) underestimation bias associated with a distance criterion used to differentiate annual sightings of females with cubs into unique individuals and 2) limitations of the model-averaging approach to effectively distinguish among potential future population trajectories (decline, stability, and growth). </p><p>The first issue addressed in this report is the underestimation bias associated with the rule set that Knight et al. (1995) developed to differentiate sightings of females with cubs into unique individuals (i.e., unique family groups). The rule set was originally designed to be conservative by reducing the risk of identifying more females with cubs than actually existed, primarily through use of a distance criterion of 30 km to separate sightings of unique females. This approach resulted in an underestimation bias, and previous research demonstrated that this bias increases with increasing number of females with cubs. Using location data from radio-marked females with cubs, we evaluated alternative distance criteria by simulating scenarios with varying numbers of true females with cubs and sightings. Findings from these analyses demonstrate that bias in estimates of females with cubs can be substantially reduced by changing the 30-km distance criterion in the rule set to 16 km, which produced relatively unbiased estimates. Findings also indicate, however, the importance of adaptability with regard to the distance criteria because of the complex relationships and biases among the various parameters involved in estimation of unique females with cubs. The total number of annual sightings and the true number of females with cubs play particularly important roles. Whereas these analyses remind us that there is no perfect approach to estimating the number of females with cubs from sightings under various scenarios, they provide us with new tools to determine when and how to adapt the monitoring program. </p><p>The second issue we were tasked to investigate was the potential for improvement of the technique referred to as model-averaging, which serves to smooth relatively high variation in annual estimates. This technique was chosen by YES as the basis for monitoring the Yellowstone grizzly bear population, as described in the 2016 Conservation Strategy. This choice was made in part because the technique has been well documented and population estimates derived from counts of females with cubs are conservative. Using simulations of population trends, we demonstrate why the model-averaging technique currently used cannot distinguish between plausible future trend scenarios. As a suitable alternative to model averaging, we propose the use of generalized additive models (GAMs). Using a suite of simulated trend dynamics relevant to management, we demonstrate GAM performance for tracking trends in females with cubs within the context of the annual monitoring program. We demonstrate the ability to not only document directional changes in population trend but also patterns of stabilization or resiliency after such changes. Furthermore, the proposed monitoring framework provides objective measures useful for early detection of directional changes in trend. The new framework is flexible, allowing retrospective analysis of Chao2-based estimates and future applications to time series of other population metrics, such as vital rates. </p><p>The aforementioned updates provide us with new tools to determine when and how to adapt the monitoring program. Within the context of current monitoring protocols and effort, and considering the full suite of simulations presented in this report and previous studies, the IGBST plans to incorporate the following changes to the population monitoring protocol: 1) modify the distance criterion, starting with 16 km under current sampling conditions and 2) revise the population monitoring framework using GAMs as the basis for smoothing of annual estimates and detecting trends and changes in trend. </p><p>Implementation of the 16-km distance criterion combined with use of GAM techniques would affect some of the population metrics (e.g., annual population size and uncertainty, population trend, mortality rates) used to inform management responses. A primary consideration is that the 16-km distance criterion results in total population estimates derived from the Chao2 estimates that are greater than those we have reported in the past. This increase is due to a change in the implementation of the technique and more accurately represents the number of females with cubs in the GYE grizzly bear population. Additionally, interpretation of retrospective trend patterns may change due to the combination of a different distance criterion and enhanced trend monitoring based on the GAM approach we present here. Implementation will require relatively minor changes in the monitoring protocols described in Appendices B and C of the 2016 Conservation Strategy. Finally, we note that the IGBST has ongoing investigations into the merits of an Integrated Population Model (IPM), for which annual Chao2-based estimates are important input data. The IGBST plans to continue those investigations using the 16-km distance criterion to derive Chao2 estimates.</p>","language":"English","publisher":"U.S. Geological Survey","usgsCitation":"van Manen, F.T., Ebinger, M.R., Haroldson, M.A., Bjornlie, D., Clapp, J., Thompson, D.J., Frey, K.L., Costello, C., Hendricks, C., Nicholson, J., Gunther, K.A., Wilmot, K.R., Cooley, H., Fortin-Noreus, J., Hnilicka, P., and Tyers, D.B., 2021, A reassessment of Chao2 estimates for population monitoring of grizzly bears in the Greater Yellowstone Ecosystem, viii, 77 p.","productDescription":"viii, 77 p.","ipdsId":"IP-126615","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":385125,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":384856,"type":{"id":15,"text":"Index Page"},"url":"https://www.usgs.gov/science/interagency-grizzly-bear-study-team?qt-science_center_objects=0#qt-science_center_objects"}],"country":"United States","state":"Idaho, Montana, Wyoming","otherGeospatial":"Greater Yellowstone Ecosystem","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.7364501953125,\n              43.265206318396025\n            ],\n            [\n              -108.753662109375,\n              43.265206318396025\n            ],\n            [\n              -108.753662109375,\n              45.59482210127054\n            ],\n            [\n              -111.7364501953125,\n              45.59482210127054\n            ],\n            [\n              -111.7364501953125,\n              43.265206318396025\n            ]\n          ]\n        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Center","active":true,"usgs":true}],"preferred":true,"id":813480,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haroldson, Mark A. 0000-0002-7457-7676 mharoldson@usgs.gov","orcid":"https://orcid.org/0000-0002-7457-7676","contributorId":1773,"corporation":false,"usgs":true,"family":"Haroldson","given":"Mark","email":"mharoldson@usgs.gov","middleInitial":"A.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":813481,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bjornlie, Daniel D.","contributorId":145512,"corporation":false,"usgs":false,"family":"Bjornlie","given":"Daniel D.","affiliations":[{"id":16140,"text":"Wyoming Game & Fish Department, Large Carnivore Section, Lander, Wyoming 82520, USA","active":true,"usgs":false}],"preferred":false,"id":813482,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Clapp, Justin","contributorId":256932,"corporation":false,"usgs":false,"family":"Clapp","given":"Justin","email":"","affiliations":[{"id":36596,"text":"Wyoming Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":813483,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Thompson, Daniel J.","contributorId":149795,"corporation":false,"usgs":false,"family":"Thompson","given":"Daniel","email":"","middleInitial":"J.","affiliations":[{"id":5116,"text":"Large Carnivore Section, Wyoming Game & Fish Department, 260 Buena Vista, Lander, WY 82520, USA","active":true,"usgs":false}],"preferred":false,"id":813484,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Frey, Kevin L.","contributorId":124580,"corporation":false,"usgs":false,"family":"Frey","given":"Kevin","email":"","middleInitial":"L.","affiliations":[{"id":5125,"text":"Montana Fish Wildlife and Parks, Bear Management Office, 1400 South 19th Avenue, Bozeman, MT 59718","active":true,"usgs":false}],"preferred":false,"id":813485,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Costello, Cecily M.","contributorId":145510,"corporation":false,"usgs":false,"family":"Costello","given":"Cecily M.","affiliations":[{"id":5117,"text":"University of Montana, College of Forestry and Conservation, University Hall, Room 309, Missoula, MT 59812, USA","active":true,"usgs":false}],"preferred":false,"id":813486,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hendricks, Curtis","contributorId":256933,"corporation":false,"usgs":false,"family":"Hendricks","given":"Curtis","email":"","affiliations":[{"id":36224,"text":"Idaho Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":813487,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Nicholson, Jeremy M.","contributorId":256934,"corporation":false,"usgs":false,"family":"Nicholson","given":"Jeremy M.","affiliations":[{"id":36224,"text":"Idaho Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":813488,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Gunther, Kerry A.","contributorId":190246,"corporation":false,"usgs":false,"family":"Gunther","given":"Kerry","email":"","middleInitial":"A.","affiliations":[{"id":5130,"text":"Bear Management Office, Yellowstone National Park, WY 82190, USA","active":true,"usgs":false}],"preferred":false,"id":813489,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Wilmot, Katharine R.","contributorId":244265,"corporation":false,"usgs":false,"family":"Wilmot","given":"Katharine","email":"","middleInitial":"R.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":813490,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Cooley, Hilary","contributorId":205414,"corporation":false,"usgs":false,"family":"Cooley","given":"Hilary","affiliations":[],"preferred":false,"id":813491,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Fortin-Noreus, Jennifer","contributorId":200746,"corporation":false,"usgs":false,"family":"Fortin-Noreus","given":"Jennifer","email":"","affiliations":[],"preferred":false,"id":813492,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Hnilicka, Pat","contributorId":256935,"corporation":false,"usgs":false,"family":"Hnilicka","given":"Pat","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":813493,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Tyers, Daniel B.","contributorId":124587,"corporation":false,"usgs":false,"family":"Tyers","given":"Daniel","email":"","middleInitial":"B.","affiliations":[{"id":5129,"text":"U.S. Forest Service, 2327 University Way, Bozeman, MT 59715, USA","active":true,"usgs":false}],"preferred":false,"id":813494,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}}
,{"id":70219448,"text":"70219448 - 2021 - Weather affects post‐fire recovery of sagebrush‐steppe communities and model transferability among sites","interactions":[],"lastModifiedDate":"2021-04-08T13:12:45.82359","indexId":"70219448","displayToPublicDate":"2021-04-06T08:10:40","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Weather affects post‐fire recovery of sagebrush‐steppe communities and model transferability among sites","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Altered climate, including weather extremes, can cause major shifts in vegetative recovery after disturbances. Predictive models that can identify the separate and combined temporal effects of disturbance and weather on plant communities and that are transferable among sites are needed to guide vulnerability assessments and management interventions. We asked how functional group abundance responded to time since fire and antecedent weather, if long‐term vegetation trajectories were better explained by initial post‐fire weather conditions or by general five‐year antecedent weather, and if weather effects helped predict post‐fire vegetation abundances at a new site. We parameterized models using a 30‐yr vegetation monitoring dataset from burned and unburned areas of the Orchard Training Area (OCTC) of southern Idaho, USA, and monthly PRISM data, and assessed model transferability on an independent dataset from the well‐sampled Soda wildfire area along the Idaho/Oregon border. Sagebrush density increased with lower mean air temperature of the coldest month and slightly increased with higher mean air temperature of the hottest month, and with higher maximum January–June precipitation. Perennial grass cover increased in relation to higher precipitation, measured annually in the first four years after fire and/or in September–November the year of fire. Annual grass increased in relation to higher March–May precipitation in the year after fire, but not with September–November precipitation in the year of fire. Initial post‐fire weather conditions explained 1% more variation in sagebrush density than recent antecedent 5‐yr weather did but did not explain additional variation in perennial or annual grass cover. Inclusion of weather variables increased transferability of models for predicting perennial and annual grass cover from the OCTC to the Soda wildfire regardless of the time period in which weather was considered. In contrast, inclusion of weather variables did not affect transferability of the forecasts of post‐fire sagebrush density from the OCTC to the Soda site. Although model transferability may be improved by including weather covariates when predicting post‐fire vegetation recovery, predictions may be surprisingly unaffected by the temporal windows in which coarse‐scale gridded weather data are considered.</p></div></div>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.3446","usgsCitation":"Applestein, C., Caughlin, T., and Germino, M., 2021, Weather affects post‐fire recovery of sagebrush‐steppe communities and model transferability among sites: Ecosphere, v. 12, no. 4, e03446, 21 p., https://doi.org/10.1002/ecs2.3446.","productDescription":"e03446, 21 p.","ipdsId":"IP-115515","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":452799,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.3446","text":"Publisher Index Page"},{"id":384931,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.0703125,\n              42.49640294093705\n            ],\n            [\n              -115.23559570312499,\n              42.49640294093705\n            ],\n            [\n              -115.23559570312499,\n              43.8028187190472\n            ],\n            [\n              -117.0703125,\n              43.8028187190472\n            ],\n            [\n              -117.0703125,\n              42.49640294093705\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"12","issue":"4","noUsgsAuthors":false,"publicationDate":"2021-04-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Applestein, Cara 0000-0002-7923-8526","orcid":"https://orcid.org/0000-0002-7923-8526","contributorId":218003,"corporation":false,"usgs":true,"family":"Applestein","given":"Cara","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":813601,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caughlin, Trevor 0000-0001-6752-2055","orcid":"https://orcid.org/0000-0001-6752-2055","contributorId":256964,"corporation":false,"usgs":false,"family":"Caughlin","given":"Trevor","email":"","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":813602,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Germino, Matthew J. 0000-0001-6326-7579","orcid":"https://orcid.org/0000-0001-6326-7579","contributorId":251901,"corporation":false,"usgs":true,"family":"Germino","given":"Matthew J.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":813600,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70220380,"text":"70220380 - 2021 - Machine-learning predictions of high arsenic and high manganese at drinking water depths of the glacial aquifer system, northern continental United States","interactions":[],"lastModifiedDate":"2021-05-10T13:09:02.341417","indexId":"70220380","displayToPublicDate":"2021-04-06T08:01:43","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Machine-learning predictions of high arsenic and high manganese at drinking water depths of the glacial aquifer system, northern continental United States","docAbstract":"<div class=\"article_abstract\"><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\">Globally, over 200 million people are chronically exposed to arsenic (As) and/or manganese (Mn) from drinking water. We used machine-learning (ML) boosted regression tree (BRT) models to predict high As (&gt;10 μg/L) and Mn (&gt;300 μg/L) in groundwater from the glacial aquifer system (GLAC), which spans 25 states in the northern United States and provides drinking water to 30 million people. Our BRT models’ predictor variables (PVs) included recently developed three-dimensional estimates of a suite of groundwater age metrics, redox condition, and pH. We also demonstrated a successful approach to significantly improve ML prediction sensitivity for imbalanced data sets (small percentage of high values). We present predictions of the probability of high As and high Mn concentrations in groundwater, and uncertainty, at two nonuniform depth surfaces that represent moving median depths of GLAC domestic and public supply wells within the three-dimensional model domain. Predicted high likelihood of anoxic condition (high iron or low dissolved oxygen), predicted pH, relative well depth, several modeled groundwater age metrics, and hydrologic position were all PVs retained in both models; however, PV importance and influence differed between the models. High-As and high-Mn groundwater was predicted with high likelihood over large portions of the central part of the GLAC.</p></div></div></div></div></div>","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.0c06740","usgsCitation":"Erickson, M., Elliott, S.M., Brown, C., Stackelberg, P.E., Ransom, K.M., Reddy, J.E., and Cravotta, C., 2021, Machine-learning predictions of high arsenic and high manganese at drinking water depths of the glacial aquifer system, northern continental United States: Environmental Science & Technology, v. 9, no. 55, p. 5791-5805, https://doi.org/10.1021/acs.est.0c06740.","productDescription":"15 p.","startPage":"5791","endPage":"5805","ipdsId":"IP-121306","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":452801,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.est.0c06740","text":"Publisher Index Page"},{"id":436418,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P94FCZJ2","text":"USGS data release","linkHelpText":"Groundwater data, predictor variables, and rasters used for predicting the probability of high arsenic and high manganese in the Glacial Aquifer System, northern continental United States"},{"id":385543,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n     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L.","email":"merickso@usgs.gov","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":815295,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Elliott, Sarah M. 0000-0002-1414-3024 selliott@usgs.gov","orcid":"https://orcid.org/0000-0002-1414-3024","contributorId":1472,"corporation":false,"usgs":true,"family":"Elliott","given":"Sarah","email":"selliott@usgs.gov","middleInitial":"M.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":815296,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brown, Craig J. 0000-0002-3858-3964","orcid":"https://orcid.org/0000-0002-3858-3964","contributorId":210450,"corporation":false,"usgs":true,"family":"Brown","given":"Craig J.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":815297,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stackelberg, Paul E. 0000-0002-1818-355X","orcid":"https://orcid.org/0000-0002-1818-355X","contributorId":204864,"corporation":false,"usgs":true,"family":"Stackelberg","given":"Paul","middleInitial":"E.","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":815298,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ransom, Katherine Marie 0000-0001-6195-7699","orcid":"https://orcid.org/0000-0001-6195-7699","contributorId":239552,"corporation":false,"usgs":true,"family":"Ransom","given":"Katherine","email":"","middleInitial":"Marie","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":815299,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Reddy, James E. 0000-0002-6998-7267","orcid":"https://orcid.org/0000-0002-6998-7267","contributorId":202976,"corporation":false,"usgs":true,"family":"Reddy","given":"James","email":"","middleInitial":"E.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":815300,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cravotta, Charles A. III 0000-0003-3116-4684","orcid":"https://orcid.org/0000-0003-3116-4684","contributorId":207249,"corporation":false,"usgs":true,"family":"Cravotta","given":"Charles A.","suffix":"III","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":815301,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70219455,"text":"70219455 - 2021 - Identifying resting locations of a small elusive forest carnivore using a two-stage model accounting for GPS measurement error and hidden behavioral states","interactions":[],"lastModifiedDate":"2021-04-08T12:58:16.777994","indexId":"70219455","displayToPublicDate":"2021-04-06T07:56:28","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2792,"text":"Movement Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Identifying resting locations of a small elusive forest carnivore using a two-stage model accounting for GPS measurement error and hidden behavioral states","docAbstract":"<p>Studies of animal movement using location data are often faced with two challenges. First, time series of animal locations are likely to arise from multiple behavioral states (e.g., directed movement, resting) that cannot be observed directly. Second, location data can be affected by measurement error, including failed location fixes. Simultaneously addressing both problems in a single statistical model is analytically and computationally challenging. To both separate behavioral states and account for measurement error, we used a two-stage modeling approach to identify resting locations of fishers (<i>Pekania pennanti</i>) based on GPS and accelerometer data.</p>","language":"English","publisher":"Springer Nature","doi":"10.1186/s40462-021-00256-8","usgsCitation":"Hance, D., Moriarty, K.M., Hollen, B.A., and Perry, R., 2021, Identifying resting locations of a small elusive forest carnivore using a two-stage model accounting for GPS measurement error and hidden behavioral states: Movement Ecology, v. 9, 17, 22 p., https://doi.org/10.1186/s40462-021-00256-8.","productDescription":"17, 22 p.","ipdsId":"IP-123520","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":452803,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40462-021-00256-8","text":"Publisher Index Page"},{"id":384927,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Oregon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.55224609375,\n              41.88592102814744\n            ],\n            [\n              -121.17919921875001,\n              41.88592102814744\n            ],\n            [\n              -121.17919921875001,\n              42.84375132629021\n            ],\n            [\n              -123.55224609375,\n              42.84375132629021\n            ],\n            [\n              -123.55224609375,\n              41.88592102814744\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"9","noUsgsAuthors":false,"publicationDate":"2021-04-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Hance, Dalton 0000-0002-4475-706X","orcid":"https://orcid.org/0000-0002-4475-706X","contributorId":220179,"corporation":false,"usgs":true,"family":"Hance","given":"Dalton","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":813625,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moriarty, Katie M.","contributorId":256976,"corporation":false,"usgs":false,"family":"Moriarty","given":"Katie","email":"","middleInitial":"M.","affiliations":[{"id":51930,"text":"National Council for Air and Stream Improvement, Inc., Corvallis, Oregon, USA","active":true,"usgs":false}],"preferred":false,"id":813626,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hollen, Bruce A.","contributorId":256977,"corporation":false,"usgs":false,"family":"Hollen","given":"Bruce","email":"","middleInitial":"A.","affiliations":[{"id":51933,"text":"USDI Bureau of Land Management, Regional Office, Portland, OR","active":true,"usgs":false}],"preferred":false,"id":813627,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Perry, Russell 0000-0003-4110-8619","orcid":"https://orcid.org/0000-0003-4110-8619","contributorId":220189,"corporation":false,"usgs":true,"family":"Perry","given":"Russell","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":813628,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70220413,"text":"70220413 - 2021 - Prevalence of neonicotinoids and sulfoxaflor in alluvial aquifers in a high corn and soybean producing region of the Midwestern United States","interactions":[],"lastModifiedDate":"2021-05-13T12:51:05.599137","indexId":"70220413","displayToPublicDate":"2021-04-06T07:46:35","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Prevalence of neonicotinoids and sulfoxaflor in alluvial aquifers in a high corn and soybean producing region of the Midwestern United States","docAbstract":"<div id=\"ab0005\" class=\"abstract author\" lang=\"en\"><div id=\"as0005\"><p id=\"sp0060\"><span>Neonicotinoids&nbsp;have been previously detected in Iowa surface waters, but less is known regarding their occurrence in groundwater. To help fill this research gap, a groundwater study was conducted in eastern Iowa and southeastern Minnesota, a corn and soybean producing area with known heavy neonicotinoid use. Neonicotinoids were studied in alluvial aquifers, a hydrogeologic setting known to be vulnerable to surface-applied contaminants. Groundwater samples were analyzed from 40 wells for six neonicotinoid compounds (acetamiprid,&nbsp;</span>clothianidin<span>, dinotefuran,&nbsp;imidacloprid,&nbsp;thiacloprid, thiamethoxam), and sulfoxaflor. Samples were analyzed using&nbsp;liquid chromatography&nbsp;tandem mass spectrometry (LC/MS/MS) with both direct aqueous injection and solid phase extraction methods. Neonicotinoids were prevalent in the alluvial aquifers with 73% of the wells having at least one neonicotinoid detection. Clothianidin (68%, max: 391.7 ng/L) was the most commonly detected, followed by imidacloprid (43%, max: 6.7 ng/L) and&nbsp;thiamethoxam&nbsp;(3%, max: 0.2 ng/L). Acetamiprid, dinotefuran, sulfoxaflor, and thiacloprid were not detected during the study. The solid phase extraction method was more sensitive than direct aqueous injection, where only clothianidin detected in 23% of samples. SPE is the preferred method for detecting low concentrations of hydrophilic pesticides in water. This study documented that the combination of heavy chemical use overlying a hydrogeologic setting vulnerable to surface applied contaminants leads to transport of neonicotinoids into an important groundwater resource.</span></p></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2021.146762","usgsCitation":"Thompson, D., Kolpin, D., Hladik, M.L., Barnes, K.K., Vargo, J., and Field, R., 2021, Prevalence of neonicotinoids and sulfoxaflor in alluvial aquifers in a high corn and soybean producing region of the Midwestern United States: Science of the Total Environment, v. 782, 146762, 11 p., https://doi.org/10.1016/j.scitotenv.2021.146762.","productDescription":"146762, 11 p.","ipdsId":"IP-127498","costCenters":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":385603,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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0000-0002-0891-2712","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":221229,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":815476,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barnes, Kimberlee K. 0000-0002-8917-7165 kkbarnes@usgs.gov","orcid":"https://orcid.org/0000-0002-8917-7165","contributorId":2683,"corporation":false,"usgs":true,"family":"Barnes","given":"Kimberlee","email":"kkbarnes@usgs.gov","middleInitial":"K.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":815477,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vargo, J.D.","contributorId":257987,"corporation":false,"usgs":false,"family":"Vargo","given":"J.D.","email":"","affiliations":[{"id":6768,"text":"University of 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,{"id":70224552,"text":"70224552 - 2021 - Five decades of observed daily precipitation reveal longer and more variable drought events across much of the western United States","interactions":[],"lastModifiedDate":"2021-09-27T12:23:31.997875","indexId":"70224552","displayToPublicDate":"2021-04-06T07:21:10","publicationYear":"2021","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":"Five decades of observed daily precipitation reveal longer and more variable drought events across much of the western United States","docAbstract":"<div class=\"article-section__content en main\"><p>Multiple lines of evidence suggest climate change will result in increased precipitation variability and consequently more frequent extreme events. These hydroclimatic changes will likely have significant socioecological impacts, especially across water-limited regions. Here we present an analysis of daily meteorological observations from 1976 to 2019 at 337 long-term weather stations distributed across the western United States (US). In addition to widespread warming (0.2&nbsp;°C ± 0.01°C/decade, daily maximum temperature), we observed trends of reduced annual precipitation (−2.3&nbsp;±&nbsp;1.5&nbsp;mm/decade) across most of the region, with increasing interannual variability of precipitation. Critically, daily observations showed that extreme-duration drought became more common, with increases in both the mean and longest dry interval between precipitation events (0.6&nbsp;±&nbsp;0.2, 2.4&nbsp;±&nbsp;0.3&nbsp;days/decade) and greater interannual variability in these dry intervals. These findings indicate that, against a backdrop of warming and drying, large regions of the western US are experiencing intensification of precipitation variability, with likely detrimental consequences for essential ecosystem services.</p></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2020GL092293","usgsCitation":"Zhang, F., Biederman, J.A., Dannenberg, M.P., Yan, D., Reed, S., and Smith, W.K., 2021, Five decades of observed daily precipitation reveal longer and more variable drought events across much of the western United States: Geophysical Research Letters, v. 48, no. 7, e2020GL092293, 11 p., https://doi.org/10.1029/2020GL092293.","productDescription":"e2020GL092293, 11 p.","ipdsId":"IP-125346","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":389802,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -104.150390625,\n              48.69096039092549\n            ],\n            [\n              -103.71093749999999,\n              49.26780455063753\n            ],\n            [\n              -122.958984375,\n              49.49667452747045\n            ],\n            [\n              -124.98046874999999,\n              48.980216985374994\n            ],\n            [\n              -124.8046875,\n              47.338822694822\n            ],\n            [\n              -125.068359375,\n              42.87596410238256\n            ],\n            [\n              -125.24414062499999,\n              39.774769485295465\n            ],\n            [\n              -123.662109375,\n              37.50972584293751\n            ],\n            [\n              -120.76171875,\n              34.161818161230386\n            ],\n            [\n              -117.24609374999999,\n              32.69486597787505\n            ],\n            [\n              -114.9609375,\n              32.62087018318113\n            ],\n            [\n              -111.09374999999999,\n              31.353636941500987\n            ],\n            [\n              -107.57812499999999,\n              31.50362930577303\n            ],\n            [\n              -107.9296875,\n              31.728167146023935\n            ],\n            [\n              -103.271484375,\n              31.87755764334002\n            ],\n            [\n              -102.919921875,\n              36.87962060502676\n            ],\n            [\n              -101.865234375,\n              37.020098201368114\n            ],\n            [\n              -102.12890625,\n              41.178653972331674\n            ],\n            [\n              -103.974609375,\n              41.244772343082076\n            ],\n            [\n              -104.150390625,\n              48.69096039092549\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"48","issue":"7","noUsgsAuthors":false,"publicationDate":"2021-04-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Zhang, Fangyue","contributorId":266007,"corporation":false,"usgs":false,"family":"Zhang","given":"Fangyue","email":"","affiliations":[{"id":54855,"text":"USDA Agricultural Research Service Southwest Watershed Research Center, Tucson, Arizona 85719 ; School of Natural Resources and the Environment, University of Arizona, Tucson, Arizona 85721","active":true,"usgs":false}],"preferred":false,"id":824046,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Biederman, Joel A.","contributorId":201939,"corporation":false,"usgs":false,"family":"Biederman","given":"Joel","email":"","middleInitial":"A.","affiliations":[{"id":6758,"text":"USDA-ARS","active":true,"usgs":false}],"preferred":false,"id":824047,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dannenberg, Matthew P.","contributorId":239668,"corporation":false,"usgs":false,"family":"Dannenberg","given":"Matthew","email":"","middleInitial":"P.","affiliations":[{"id":47960,"text":"School of Natural Resources and the Environment, University of Arizona, Tucson, AZ; Geographical and Sustainability Services, University of Iowa, Iowa City, IA","active":true,"usgs":false}],"preferred":false,"id":824048,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yan, Dong","contributorId":207300,"corporation":false,"usgs":false,"family":"Yan","given":"Dong","email":"","affiliations":[{"id":37515,"text":"University of Arizona School of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":824049,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reed, Sasha C. 0000-0002-8597-8619","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":205372,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":824050,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Smith, William K. 0000-0002-5785-6489","orcid":"https://orcid.org/0000-0002-5785-6489","contributorId":239667,"corporation":false,"usgs":false,"family":"Smith","given":"William","email":"","middleInitial":"K.","affiliations":[{"id":47959,"text":"School of Natural Resources and the Environment, University of Arizona, Tucson, AZ","active":true,"usgs":false}],"preferred":false,"id":824051,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70219432,"text":"fs20213007 - 2021 - Water resources of St. Martin Parish, Louisiana","interactions":[],"lastModifiedDate":"2021-04-07T11:41:50.260918","indexId":"fs20213007","displayToPublicDate":"2021-04-06T05:37:34","publicationYear":"2021","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":"2021-3007","displayTitle":"Water Resources of St. Martin Parish, Louisiana","title":"Water resources of St. Martin Parish, Louisiana","docAbstract":"<p>Information concerning the availability, use, and quality of water in St. Martin Parish, Louisiana, is critical for proper water-supply management. The purpose of this fact sheet is to present information that can be used by water managers, parish residents, and others for stewardship of this vital resource. In 2014, about 46.99 million gallons per day (Mgal/d) of water were withdrawn in St. Martin Parish, including about 35.91 Mgal/d from groundwater sources and 11.08 Mgal/d from surface-water sources. Withdrawals for agricultural use, composed of aquaculture (32.28 Mgal/d), rice irrigation (6.44 Mgal/d), general irrigation (2.38 Mgal/d), and livestock uses (0.06 Mgal/d), accounted for about 88 percent (41.16 Mgal/d) of the total water withdrawn. Other categories of use included public supply, which accounted for about 10 percent (4.83 Mgal/d), rural domestic, which accounted for about 2 percent (0.81 Mgal/d), and industry, which accounted for less than 1 percent (0.18 Mgal/d). Water-use data collected at 5-year intervals from 1960 to 2010 and again in 2014 indicate that water withdrawals in St. Martin Parish peaked in 1985 at more than 68 Mgal/d.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20213007","collaboration":"Prepared in cooperation with the Louisiana Department of Transportation and Development","usgsCitation":"Lindaman, M.A., and White, V.E., 2021, Water resources of St. Martin Parish, Louisiana: U.S. Geological Survey Fact Sheet 2021–3007, 6 p., https://doi.org/10.3133/fs20213007.","productDescription":"Report: 6 p.; Data Release","numberOfPages":"6","onlineOnly":"N","ipdsId":"IP-103365","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":384877,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2021/3007/fs20213007.pdf","text":"Report","size":"1.14 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2021–3007"},{"id":384878,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F78051VM","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Water withdrawals by source and category in Louisiana Parishes, 2014–2015"},{"id":384876,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2021/3007/coverthb.jpg"}],"country":"United States","state":"Louisiana","county":"St. Martin Parish","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-91.657,30.4587],[-91.6453,30.4523],[-91.6432,30.4454],[-91.6405,30.4432],[-91.6374,30.4427],[-91.6373,30.4349],[-91.6379,30.4336],[-91.6326,30.4272],[-91.6273,30.4176],[-91.6267,30.4112],[-91.624,30.4048],[-91.6246,30.3947],[-91.6304,30.3846],[-91.6351,30.3778],[-91.6394,30.3741],[-91.6436,30.3727],[-91.6478,30.3677],[-91.6457,30.365],[-91.6266,30.3586],[-91.6245,30.3545],[-91.6266,30.3426],[-91.6271,30.3357],[-91.6282,30.3302],[-91.6213,30.3105],[-91.6043,30.2895],[-91.59,30.2772],[-91.5879,30.2731],[-91.5911,30.2671],[-91.5911,30.2639],[-91.5884,30.257],[-91.5757,30.2479],[-91.563,30.242],[-91.5429,30.2397],[-91.5271,30.2411],[-91.5176,30.2415],[-91.4922,30.2369],[-91.479,30.2319],[-91.4753,30.2287],[-91.4763,30.2255],[-91.4795,30.2246],[-91.4821,30.2214],[-91.4816,30.2186],[-91.4885,30.2109],[-91.4901,30.2063],[-91.4906,30.2017],[-91.488,30.198],[-91.4827,30.1939],[-91.4774,30.1921],[-91.4742,30.1875],[-91.4774,30.1711],[-91.4753,30.166],[-91.4748,30.1564],[-91.469,30.1486],[-91.4727,30.1431],[-91.4616,30.1317],[-91.4637,30.1253],[-91.4648,30.1235],[-91.4679,30.1212],[-91.4684,30.1184],[-91.4727,30.1143],[-91.4706,30.1097],[-91.4642,30.1029],[-91.3925,30.1028],[-91.3893,30.1024],[-91.3898,30.0996],[-91.3814,30.0978],[-91.3777,30.095],[-91.3766,30.0863],[-91.3719,30.0817],[-91.3698,30.0767],[-91.3688,30.0671],[-91.3725,30.0653],[-91.3725,30.0625],[-91.3688,30.0589],[-91.488,30.0585],[-91.4948,30.0489],[-91.4954,30.0415],[-91.4985,30.0406],[-91.5064,30.0392],[-91.5086,30.0328],[-91.5998,30.0337],[-91.6103,30.0465],[-91.6061,30.058],[-91.6088,30.0694],[-91.6304,30.0721],[-91.6426,30.0835],[-91.6579,30.1064],[-91.6616,30.1101],[-91.6658,30.1101],[-91.6685,30.1124],[-91.6716,30.1123],[-91.6748,30.111],[-91.6764,30.1087],[-91.6753,30.1073],[-91.678,30.105],[-91.6854,30.1096],[-91.6875,30.1137],[-91.6959,30.116],[-91.6991,30.121],[-91.7039,30.1214],[-91.7075,30.1178],[-91.7128,30.1173],[-91.7223,30.12],[-91.726,30.1228],[-91.7313,30.1228],[-91.7366,30.1186],[-91.7397,30.1195],[-91.7466,30.1182],[-91.7524,30.1126],[-91.7587,30.1099],[-91.7682,30.108],[-91.7698,30.0984],[-91.7639,30.0971],[-91.7608,30.0911],[-91.7729,30.0897],[-91.7782,30.0865],[-91.7861,30.0824],[-91.8029,30.0741],[-91.8045,30.0681],[-91.8113,30.0567],[-91.8192,30.0457],[-91.8746,30.0693],[-91.8952,30.0587],[-91.9074,30.0728],[-91.9512,30.0736],[-91.9366,30.1148],[-91.9308,30.1245],[-91.9056,30.1543],[-91.9088,30.157],[-91.912,30.1593],[-91.9126,30.1634],[-91.9089,30.1639],[-91.9163,30.179],[-91.9169,30.1822],[-91.9174,30.1845],[-91.9211,30.1881],[-91.9343,30.1826],[-91.9417,30.1844],[-91.9549,30.1871],[-91.9544,30.1816],[-91.9628,30.176],[-91.9739,30.1774],[-91.9803,30.1824],[-91.9788,30.1933],[-91.9803,30.1943],[-91.9809,30.2011],[-91.9793,30.2057],[-91.9794,30.2094],[-91.9773,30.2112],[-91.9694,30.2117],[-91.9662,30.214],[-91.9583,30.2117],[-91.9525,30.2246],[-91.9441,30.226],[-91.9431,30.2365],[-91.9515,30.2392],[-91.9595,30.2374],[-91.9642,30.241],[-91.9696,30.2488],[-91.9675,30.2524],[-91.9691,30.2602],[-91.977,30.2606],[-91.9518,30.2799],[-91.9551,30.3088],[-91.9625,30.3138],[-91.9663,30.3224],[-91.9685,30.3339],[-91.9616,30.3403],[-91.9569,30.3435],[-91.959,30.3499],[-91.9511,30.3527],[-91.9538,30.36],[-91.9792,30.3635],[-91.9792,30.3663],[-91.9856,30.3672],[-91.9893,30.3704],[-91.9862,30.3754],[-91.9814,30.3818],[-91.9831,30.3923],[-91.9805,30.4043],[-91.9784,30.4079],[-91.9705,30.4121],[-91.9652,30.4107],[-91.9546,30.4066],[-91.9429,30.3998],[-91.9381,30.3971],[-91.9317,30.3971],[-91.9143,30.4027],[-91.9074,30.4045],[-91.8953,30.4087],[-91.8916,30.4101],[-91.8688,30.4184],[-91.8656,30.4166],[-91.8571,30.413],[-91.8545,30.4116],[-91.8497,30.4066],[-91.8433,30.4075],[-91.8327,30.4057],[-91.8301,30.4025],[-91.8205,30.398],[-91.8126,30.3962],[-91.6791,30.3951],[-91.6802,30.3974],[-91.6945,30.4019],[-91.6977,30.412],[-91.6988,30.4147],[-91.7131,30.4321],[-91.719,30.4494],[-91.7227,30.4526],[-91.7365,30.4517],[-91.7397,30.4531],[-91.7423,30.4576],[-91.7439,30.4709],[-91.7509,30.4786],[-91.7546,30.4855],[-91.7568,30.4978],[-91.7011,30.4975],[-91.7016,30.4925],[-91.6926,30.481],[-91.6825,30.4779],[-91.6682,30.4747],[-91.6581,30.4646],[-91.657,30.4587]]],[[[-91.2509,29.9611],[-91.2515,29.9566],[-91.2462,29.957],[-91.2457,29.9533],[-91.2478,29.9524],[-91.2425,29.9428],[-91.2384,29.9387],[-91.2341,29.9373],[-91.2299,29.9336],[-91.23,29.9286],[-91.2326,29.924],[-91.2316,29.9176],[-91.2242,29.9116],[-91.2153,29.9088],[-91.21,29.9029],[-91.2069,29.8978],[-91.2075,29.8869],[-91.2054,29.8795],[-91.1997,29.8612],[-91.185,29.847],[-91.1582,29.8414],[-91.1508,29.8368],[-91.1335,29.8376],[-91.1203,29.828],[-91.1114,29.827],[-91.1067,29.8206],[-91.1062,29.8169],[-91.1036,29.8178],[-91.0994,29.8142],[-91.0957,29.8082],[-91.0963,29.8059],[-91.0926,29.8018],[-91.1,29.7871],[-91.1001,29.7844],[-91.0959,29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Martin\",\"state\":\"LA\"}}]}","contact":"<p><a href=\"mailto:%20gs-w-lmg_center_director@usgs.gov\" data-mce-href=\"mailto:%20gs-w-lmg_center_director@usgs.gov\">Director</a>, <a href=\"https://la.water.usgs.gov/\" data-mce-href=\"https://la.water.usgs.gov/\">Lower Mississippi-Gulf Water Science Center</a><br>U.S. Geological Survey<br>3535 S. Sherwood Forest Blvd., Suite 120 <br>Baton Rouge, LA 70816</p>","tableOfContents":"<ul><li>Introduction</li><li>Groundwater Resources</li><li>Surface-Water Resources</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2021-04-05","noUsgsAuthors":false,"publicationDate":"2021-04-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Lindaman, Maxwell A. 0000-0003-1786-1272","orcid":"https://orcid.org/0000-0003-1786-1272","contributorId":219064,"corporation":false,"usgs":true,"family":"Lindaman","given":"Maxwell A.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":813539,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"White, Vincent E. 0000-0002-1660-0102 vwhite@usgs.gov","orcid":"https://orcid.org/0000-0002-1660-0102","contributorId":5388,"corporation":false,"usgs":true,"family":"White","given":"Vincent","email":"vwhite@usgs.gov","middleInitial":"E.","affiliations":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":813540,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70219431,"text":"fs20213014 - 2021 - Water resources of Iberville Parish, Louisiana","interactions":[],"lastModifiedDate":"2021-04-06T12:41:11.538969","indexId":"fs20213014","displayToPublicDate":"2021-04-06T05:35:34","publicationYear":"2021","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":"2021-3014","displayTitle":"Water Resources of Iberville Parish, Louisiana","title":"Water resources of Iberville Parish, Louisiana","docAbstract":"<p>Information concerning the availability, use, and quality of water in Iberville Parish, Louisiana, is critical for proper water-supply management. The purpose of this fact sheet is to present information that can be used by water managers, parish residents, and others for stewardship of this vital resource. In 2014, about 589.87&nbsp;million gallons per day (Mgal/d) of water were withdrawn in Iberville Parish in southeastern Louisiana: 30.86 Mgal/d from groundwater sources and 559.01 Mgal/d from surface-water sources. Withdrawals for industrial use accounted for about 77&nbsp;percent (452.80&nbsp;Mgal/d) of the total water withdrawn in 2016. Other use categories included power generation, which accounted for about 21 percent (124.54&nbsp;Mgal/d), and aquaculture, which accounted for about 1 percent (7.50 Mgal/d). Water-use data collected at 5-year intervals from 1960 to 2010 and again in 2014 indicate that water withdrawals peaked in 1980 at 1,429.78 Mgal/d.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20213014","collaboration":"Prepared in cooperation with the Louisiana Department of Transportation and Development","usgsCitation":"Lindaman, M.A., and White, V.E., 2021, Water resources of Iberville Parish, Louisiana: U.S. Geological Survey Fact Sheet 2021–3014, 6 p., https://doi.org/10.3133/fs20213014.","productDescription":"Report: 6 p.; Data Release","numberOfPages":"6","onlineOnly":"N","ipdsId":"IP-103366","costCenters":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":384875,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F78051VM","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Water withdrawals by source and category in Louisiana Parishes, 2014–2015"},{"id":384873,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2021/3014/coverthb.jpg"},{"id":384874,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2021/3014/fs20213014.pdf","text":"Report","size":"1.00 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2021–3014"}],"country":"United States","state":"Louisiana","county":"Iberville Parish","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-91.4853,30.4972],[-91.4604,30.4707],[-91.4535,30.4753],[-91.4524,30.4743],[-91.4143,30.4318],[-91.4127,30.4322],[-91.3947,30.4094],[-91.3947,30.3956],[-91.3714,30.3874],[-91.3371,30.3526],[-91.3202,30.3443],[-91.3144,30.3246],[-91.1419,30.3237],[-91.1382,30.3169],[-91.1329,30.315],[-91.1255,30.3127],[-91.1213,30.3132],[-91.1171,30.3145],[-91.1128,30.315],[-91.0943,30.319],[-91.0863,30.3199],[-91.0721,30.3203],[-91.0678,30.3212],[-91.0641,30.3207],[-91.0594,30.3202],[-91.052,30.3184],[-91.0461,30.317],[-91.0398,30.3174],[-91.025,30.3201],[-91.0213,30.3146],[-91.0218,30.3128],[-91.0599,30.2132],[-91.0536,30.2122],[-91.0691,30.1817],[-91.0718,30.162],[-91.0797,30.1634],[-91.0914,30.157],[-91.0904,30.136],[-91.0905,30.125],[-91.09,30.1126],[-91.09,30.109],[-91.1069,30.1081],[-91.1061,30.0628],[-91.2244,30.0256],[-91.2222,30.0307],[-91.2222,30.0394],[-91.2238,30.0407],[-91.2275,30.043],[-91.2306,30.0421],[-91.2391,30.0307],[-91.2423,30.0298],[-91.2544,30.0426],[-91.2591,30.0504],[-91.2638,30.0546],[-91.2686,30.061],[-91.3371,30.0602],[-91.3514,30.0602],[-91.3545,30.0611],[-91.3577,30.057],[-91.3625,30.0543],[-91.3672,30.0547],[-91.3688,30.0589],[-91.3725,30.0625],[-91.3725,30.0653],[-91.3688,30.0671],[-91.3698,30.0767],[-91.3719,30.0817],[-91.3766,30.0863],[-91.3777,30.095],[-91.3814,30.0978],[-91.3898,30.0996],[-91.3893,30.1024],[-91.3925,30.1028],[-91.4642,30.1029],[-91.4706,30.1097],[-91.4727,30.1143],[-91.4684,30.1184],[-91.4679,30.1212],[-91.4648,30.1235],[-91.4637,30.1253],[-91.4616,30.1317],[-91.4727,30.1431],[-91.469,30.1486],[-91.4748,30.1564],[-91.4753,30.166],[-91.4774,30.1711],[-91.4742,30.1875],[-91.4774,30.1921],[-91.4827,30.1939],[-91.488,30.198],[-91.4906,30.2017],[-91.4901,30.2063],[-91.4885,30.2109],[-91.4816,30.2186],[-91.4821,30.2214],[-91.4795,30.2246],[-91.4763,30.2255],[-91.4753,30.2287],[-91.479,30.2319],[-91.4922,30.2369],[-91.5176,30.2415],[-91.5271,30.2411],[-91.5429,30.2397],[-91.563,30.242],[-91.5757,30.2479],[-91.5884,30.257],[-91.5911,30.2639],[-91.5911,30.2671],[-91.5879,30.2731],[-91.59,30.2772],[-91.6043,30.2895],[-91.6213,30.3105],[-91.6282,30.3302],[-91.6271,30.3357],[-91.6266,30.3426],[-91.6245,30.3545],[-91.6266,30.3586],[-91.6457,30.365],[-91.6478,30.3677],[-91.6436,30.3727],[-91.6394,30.3741],[-91.6351,30.3778],[-91.6304,30.3846],[-91.6246,30.3947],[-91.624,30.4048],[-91.6267,30.4112],[-91.6273,30.4176],[-91.6326,30.4272],[-91.6379,30.4336],[-91.6373,30.4349],[-91.6374,30.4427],[-91.6405,30.4432],[-91.6432,30.4454],[-91.6453,30.4523],[-91.657,30.4587],[-91.6581,30.4646],[-91.6682,30.4747],[-91.6825,30.4779],[-91.6926,30.481],[-91.7016,30.4925],[-91.7011,30.4975],[-91.6253,30.4972],[-91.5839,30.4967],[-91.5818,30.4825],[-91.5701,30.4826],[-91.5568,30.483],[-91.5584,30.4885],[-91.5261,30.4972],[-91.4853,30.4972]]]},\"properties\":{\"name\":\"Iberville\",\"state\":\"LA\"}}]}","contact":"<p><a href=\"mailto:%20gs-w-lmg_center_director@usgs.gov\" data-mce-href=\"mailto:%20gs-w-lmg_center_director@usgs.gov\">Director</a>, <a href=\"https://la.water.usgs.gov/\" data-mce-href=\"https://la.water.usgs.gov/\">Lower Mississippi-Gulf Water Science Center</a><br>U.S. Geological Survey<br>3535 S. Sherwood Forest Blvd., Suite 120 <br>Baton Rouge, LA 70816</p>","tableOfContents":"<ul><li>Introduction</li><li>Groundwater Resources</li><li>Surface-Water Resources</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2021-04-05","noUsgsAuthors":false,"publicationDate":"2021-04-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Lindaman, Maxwell A. 0000-0003-1786-1272","orcid":"https://orcid.org/0000-0003-1786-1272","contributorId":219064,"corporation":false,"usgs":true,"family":"Lindaman","given":"Maxwell A.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":813537,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"White, Vincent E. 0000-0002-1660-0102 vwhite@usgs.gov","orcid":"https://orcid.org/0000-0002-1660-0102","contributorId":5388,"corporation":false,"usgs":true,"family":"White","given":"Vincent","email":"vwhite@usgs.gov","middleInitial":"E.","affiliations":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":813538,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70217845,"text":"fs20203062 - 2021 - 3D Elevation Program—Federal best practices","interactions":[],"lastModifiedDate":"2021-04-06T00:27:02.362495","indexId":"fs20203062","displayToPublicDate":"2021-04-05T20:30:00","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-3062","displayTitle":"3D Elevation Program—Federal Best Practices","title":"3D Elevation Program—Federal best practices","docAbstract":"<p>The goal of the 3D Elevation Program (3DEP) is to complete nationwide data acquisition in 8 years, by 2023, to provide the first-ever national baseline of consistent high-resolution three-dimensional data—including bare earth elevations and three-dimensional point clouds—collected in a timeframe of less than a decade. Successful implementation of 3DEP depends on partnerships and the development and adoption of a unified Federal approach to acquiring data. The purpose of this document is to outline several best practices to aid the Federal 3DEP community in reaching a higher level of coordinated implementation, maximize Federal data investments, and reduce the number of years it will take to complete national coverage. The best practices are provided to Federal agencies as a checklist to assess the level of their participation and to inspire further adoption of Federal enterprise practices that will advance joint 3DEP coverage goals for the benefit of their missions and the Nation as a whole. It is anticipated that additional best practices will be defined and added as the effort matures.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20203062","usgsCitation":"Lukas, V., and Baez, V., 2021, 3D Elevation Program—Federal best practices: U.S. Geological Survey Fact Sheet 2020–3062, 2 p., https://doi.org/10.3133/fs20203062.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-118601","costCenters":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"links":[{"id":384879,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2020/3062/fs20203062.pdf","text":"Report","size":"1.54 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2020-3062"},{"id":383062,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2020/3062/coverthb.jpg"}],"contact":"<p>Director, <a href=\"https://www.usgs.gov/core-science-systems/national-geospatial-program\" data-mce-href=\"https://www.usgs.gov/core-science-systems/national-geospatial-program\">National Geospatial Program</a><br>U.S. Geological Survey<br>12201 Sunrise Valley Drive, MS 511<br>Reston, VA 20192<br>Email: <a href=\"mailto:3DEP@usgs.gov\" data-mce-href=\"mailto:3DEP@usgs.gov\">3DEP@usgs.gov</a></p>","tableOfContents":"<ul><li>Introduction</li><li>Purpose</li><li>Background</li><li>Reference Cited</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2021-02-09","noUsgsAuthors":false,"publicationDate":"2021-02-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Lukas, Vicki 0000-0002-3151-6689 vlukas@usgs.gov","orcid":"https://orcid.org/0000-0002-3151-6689","contributorId":2890,"corporation":false,"usgs":true,"family":"Lukas","given":"Vicki","email":"vlukas@usgs.gov","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":true,"id":809892,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baez, Vanessa 0000-0002-3101-8647","orcid":"https://orcid.org/0000-0002-3101-8647","contributorId":248801,"corporation":false,"usgs":true,"family":"Baez","given":"Vanessa","email":"","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":true,"id":809893,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70219254,"text":"sir20215011 - 2021 - Aquaculture and Irrigation Water-Use Model (AIWUM) version 1.0—An agricultural water-use model developed for the Mississippi Alluvial Plain, 1999–2017","interactions":[],"lastModifiedDate":"2023-04-10T18:30:08.234211","indexId":"sir20215011","displayToPublicDate":"2021-04-05T11:15:06","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2021-5011","displayTitle":"Aquaculture and Irrigation Water-Use Model (AIWUM) Version 1.0—An Agricultural Water-Use Model Developed for the Mississippi Alluvial Plain, 1999–2017","title":"Aquaculture and Irrigation Water-Use Model (AIWUM) version 1.0—An agricultural water-use model developed for the Mississippi Alluvial Plain, 1999–2017","docAbstract":"<p>Water use is a critical and often uncertain component of quantifying any water budget and securing reliable and sustainable water supplies. Recent water-level declines in the Mississippi Alluvial Plain (MAP), especially in the central part of the Mississippi Delta, pose a threat to water sustainability. Aquaculture and Irrigation Water-Use Model (AIWUM) 1.0, one of the first national agricultural water-use models that provides water use at the scale of most groundwater models, was developed and compared to other reported and estimated aquaculture and irrigation water-use values within the MAP study area for 1999 through 2017 to improve water-use estimates needed as input to a hydrologic decision-support system in the MAP. Results indicate annual total water-use estimates from 1999 through 2017 ranged from about 5 to 13 billion gallons per day and, on average, a majority of the water use was applied to rice (about 51 percent), followed by soybeans (about 26 percent), and less than (&lt;) 10 percent each was applied to aquaculture, corn, cotton, and other crops. Comparisons indicated that annual total water-use estimates from AIWUM 1.0 were smaller than or comparable to all other sources of water-use data. Although there is disagreement at the monthly timescale in estimates in the Mississippi Delta within each part of the growing season, the annual total water use is comparable between AIWUM 1.0 and the Mississippi Embayment Regional Aquifer Study groundwater model 2.1. Estimates from AIWUM 1.0 could be used in models at all scales (for example, local, regional, national) and could provide a nationally consistent methodology in estimating water use driven by regional crop-specific withdrawal rates.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20215011","collaboration":"Prepared in cooperation with the Mississippi Department of Environmental Quality, the Yazoo Mississippi Delta Joint Water Management District, and the Arkansas Natural Resources Commission","usgsCitation":"Wilson, J.L., 2021, Aquaculture and Irrigation Water-Use Model (AIWUM) version 1.0—An agricultural water-use model developed for the Mississippi Alluvial Plain, 1999–2017: U.S. Geological Survey Scientific Investigations Report 2021–5011, 36 p., https://doi.org/10.3133/sir20215011.","productDescription":"Report: viii, 36 p.; 3 Data releases; 2 Datasets; 1 Software release","numberOfPages":"47","onlineOnly":"Y","ipdsId":"IP-098146","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":436420,"rank":9,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9YDGJ7L","text":"USGS data release","linkHelpText":"Aquaculture and Irrigation Water-Use Model (AIWUM)"},{"id":415513,"rank":8,"type":{"id":35,"text":"Software Release"},"url":"https://code.usgs.gov/map/wu/aiwum_1.1","text":"USGS software release","linkHelpText":"—Mississippi Alluvial Plain / wu / AIWUM 1.1"},{"id":415512,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9RGZOBZ","text":"USGS data release","linkHelpText":"Aquaculture and irrigation water-Use model (AIWUM) version 1.1 estimates and related datasets for the Mississippi Alluvial Plain"},{"id":384819,"rank":6,"type":{"id":28,"text":"Dataset"},"url":"https://www.usgs.gov/core-science-systems/ngp/national-hydrography/access-national-hydrography-products","text":"USGS National Hydrography web page","linkHelpText":"— National Hydrography Dataset"},{"id":384818,"rank":5,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System database","description":"USGS Dataset","linkHelpText":"— USGS Water Data for the Nation"},{"id":384817,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9JMO9G4","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Aquaculture and Irrigation Water-Use Model (AIWUM) version 1.0 estimates and related datasets for the Mississippi Alluvial Plain, 1999–2017"},{"id":384816,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F70R9MHS","text":"USGS data release","description":"USGS Data Release","linkHelpText":"National 1-kilometer rasters of selected Census of Agriculture statistics allocated to land use for the time period 1950 to 2012"},{"id":384814,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2021/5011/coverthb.jpg"},{"id":384815,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2021/5011/sir20215011.pdf","text":"Report","size":"16.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021–5011"}],"country":"United States","state":"Arkansas, Illinois, Kentucky, Louisiana, Mississippi, Missouri, Tennessee","otherGeospatial":"Mississippi Alluvial Plain","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -88.9892578125,\n              37.16031654673677\n            ],\n            [\n    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data-mce-href=\"https://www.usgs.gov/centers/cm-water\" href=\"https://www.usgs.gov/centers/cm-water\">Central Midwest Water Science Center</a> <br>U.S. Geological Survey<br>405 North Goodwin <br>Urbana, IL 61801</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction<br></li><li>Methods</li><li>Comparisons of Estimates with Other Models</li><li>Aquaculture and Irrigation Water-Use in the Mississippi Alluvial Plain, 1999–2017</li><li>Strengths and Weaknesses of AIWUM 1.0</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2021-04-05","noUsgsAuthors":false,"publicationDate":"2021-04-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Wilson, Jordan L. 0000-0003-0490-9062 jlwilson@usgs.gov","orcid":"https://orcid.org/0000-0003-0490-9062","contributorId":5416,"corporation":false,"usgs":true,"family":"Wilson","given":"Jordan","email":"jlwilson@usgs.gov","middleInitial":"L.","affiliations":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":813430,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70219253,"text":"ofr20211018 - 2021 - Linear regression model documentation and updates for computing water-quality constituent concentrations or densities using continuous real-time water-quality data for the Kansas River, Kansas, July 2012 through September 2019","interactions":[],"lastModifiedDate":"2021-04-06T11:34:06.93192","indexId":"ofr20211018","displayToPublicDate":"2021-04-05T10:50:33","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2021-1018","displayTitle":"Linear Regression Model Documentation and Updates for Computing Water-Quality Constituent Concentrations or Densities using Continuous Real-Time Water-Quality Data for the Kansas River, Kansas, July 2012 through September 2019","title":"Linear regression model documentation and updates for computing water-quality constituent concentrations or densities using continuous real-time water-quality data for the Kansas River, Kansas, July 2012 through September 2019","docAbstract":"<p>The Kansas River provides drinking water to about 800,000 people in northeastern Kansas. Water-treatment facilities that use the Kansas River as a water-supply source use chemical and physical processes during water treatment to remove contaminants before public distribution. Advanced notification of changing water-quality conditions near water-supply intakes allows water-treatment facilities to proactively adjust treatment. The U.S. Geological Survey (USGS), in cooperation with the Kansas Water Office (funded in part through the Kansas Water Plan), the Kansas Department of Health and Environment, The Nature Conservancy, the City of Lawrence, the City of Manhattan, the City of Olathe, the City of Topeka, and Johnson County WaterOne, collected water-quality data at the Kansas River at Wamego (USGS site 06887500; hereafter referred to as the “Wamego site”) and De Soto (USGS site 06892350; hereafter referred to as the “De Soto site”) monitoring sites to update previously published regression models relating continuous water-quality sensor measurements, streamflow, and seasonal components to discretely sampled water-quality constituent concentrations or densities. Linear regression analysis was used to update and develop models for total dissolved solids, major ions, hardness as calcium carbonate, nutrients (nitrogen and phosphorus species), chlorophyll <i>a</i>, total suspended solids, suspended sediment, and fecal indicator bacteria at the Wamego and De Soto monitoring sites using data collected during July 2012 through September 2019. The water-quality information documented in this report can be used as guidance for water-treatment processes and to characterize changes in water-quality conditions in the Kansas River over time that would not be otherwise possible.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20211018","collaboration":"Prepared in cooperation with the Kansas Water Office, the Kansas Department of Health and Environment, The Nature Conservancy, the City of Lawrence, the City of Manhattan, the City of Olathe, the City of Topeka, and Johnson County WaterOne","usgsCitation":"Williams, T.J., 2021, Linear regression model documentation and updates for computing water-quality constituent concentrations or densities using continuous real-time water-quality data for the Kansas River, Kansas, July 2012 through September 2019: U.S. Geological Survey Open-File Report 2021–1018, 18 p., https://doi.org/10.3133/ofr20211018.","productDescription":"Report: vii, 18 p.; Appendixes: 1–32; Dataset","numberOfPages":"30","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-120556","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":384812,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2021/1018/downloads","text":"Appendixes 1–32","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2021–1018 Appendixes 1–32"},{"id":384811,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2021/1018/ofr20211018.pdf","text":"Report","size":"1.16 MB","description":"OFR 2021–1018"},{"id":384810,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2021/1018/coverthb.jpg"},{"id":384813,"rank":4,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"U.S. Geological Survey National Water Information System database","description":"USGS Dataset","linkHelpText":"— USGS water data for the Nation"}],"country":"United States","state":"Kansas","otherGeospatial":"Kansas River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -97.66845703124999,\n              38.151837403006766\n            ],\n            [\n              -94.5703125,\n              38.151837403006766\n            ],\n            [\n              -94.5703125,\n              39.977120098439634\n            ],\n            [\n              -97.66845703124999,\n              39.977120098439634\n            ],\n            [\n              -97.66845703124999,\n              38.151837403006766\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a data-mce-href=\"https://www.usgs.gov/centers/kswsc\" href=\"https://www.usgs.gov/centers/kswsc\">Kansas Water Science Center</a> <br>U.S. Geological Survey<br>1217 Biltmore Drive <br>Lawrence, KS 66049 </p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Purpose and Scope</li><li>Description of Study Area</li><li>Methods</li><li>Developed and Updated Regression Models</li><li>Summary</li><li>References Cited</li><li>Appendixes 1–32</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2021-04-05","noUsgsAuthors":false,"publicationDate":"2021-04-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Williams, Thomas J. 0000-0003-3124-3243 tjwilliams@usgs.gov","orcid":"https://orcid.org/0000-0003-3124-3243","contributorId":185244,"corporation":false,"usgs":true,"family":"Williams","given":"Thomas","email":"tjwilliams@usgs.gov","middleInitial":"J.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":813421,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70228952,"text":"70228952 - 2021 - Dynamic Energy Budget modelling to predict eastern oyster growth, reproduction, and mortality under river management and climate change scenarios","interactions":[],"lastModifiedDate":"2022-03-18T15:19:09.003906","indexId":"70228952","displayToPublicDate":"2021-04-05T10:49:48","publicationYear":"2021","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":"Dynamic Energy Budget modelling to predict eastern oyster growth, reproduction, and mortality under river management and climate change scenarios","docAbstract":"Eastern oysters growing in deltaic Louisiana estuaries in the northern Gulf of Mexico must tolerate considerable salinity variation from natural climate variability (e.g., rainfall and stream run-off pushing isohalines offshore; tropical storms pushing isohalines inshore) and man-made diversions and siphons releasing freshwater from the Mississippi River. These salinity variations are predicted to increase with future climate change because of the increased frequency of stronger storms and also in response to proposed large-scale river diversions. Increased Mississippi River flow into coastal estuaries from river diversions, along with potential changes in rainfall and stream run-off from climate change will alter spatial and temporal salinity patterns. In this study we used an individual Dynamic Energy Budget model to predict growth and reproductive potential of eastern oysters across observed and simulated salinity gradients corresponding to different climate and river management scenarios. We used validated model outputs of salinity from a coupled hydrology-hydrodynamic model to assess the current impacts of Davis Pond diversion discharge on oysters located downstream. Under a high diversion discharge scenario oyster growth potential was reduced by 9%, 4%, and 1% in Upper, Mid, and Lower Bay locations, respectively, as compared to a limited discharge year. Reproductive outputs decreased by 34% and 2% in the Upper and Lower Bay locations, respectively, and increased by 2% at the Mid Bay site. In scenarios combining predicted increased temperature with the effect of diversions, all oysters located in the Upper and Mid Bay sites died due to severe summer conditions (high temperatures combined with low salinity). Overall, oysters in down-estuary locations, influenced by both estuarine river management and gulf conditions demonstrated significant tolerance to changing salinity and temperature conditions from diversions alone and when combined with climate change. In contrast, oysters located up-estuary, and exposed to more extreme salinity impacts from river management, demonstrated potentially lethal impacts through direct mortality, and reduced sustainability through decrease in reproductive effort. These predictions at the individual level may translate into less sustainable populations in the most extreme scenarios; restoration and production plans would benefit from accounting for these impacts on reproductive output particularly as decision makers seek to restore critical oyster areas.","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecss.2021.107188","usgsCitation":"Lavaud, R., La Peyre, M., Dubravko, J., and La Peyre, J.F., 2021, Dynamic Energy Budget modelling to predict eastern oyster growth, reproduction, and mortality under river management and climate change scenarios: Estuarine, Coastal and Shelf Science, v. 251, 107188, 13 p., https://doi.org/10.1016/j.ecss.2021.107188.","productDescription":"107188, 13 p.","ipdsId":"IP-119417","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":452808,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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