{"pageNumber":"275","pageRowStart":"6850","pageSize":"25","recordCount":184757,"records":[{"id":70243627,"text":"dr1175 - 2023 - Range-wide population trend analysis for greater sage-grouse (Centrocercus urophasianus)—Updated 1960–2022","interactions":[],"lastModifiedDate":"2023-05-18T13:32:13.544725","indexId":"dr1175","displayToPublicDate":"2023-05-17T10:15:58","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":9318,"text":"Data Report","code":"DR","onlineIssn":"2771-9448","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1175","displayTitle":"Range-wide Population Trend Analysis for Greater Sage-Grouse (<i>Centrocercus urophasianus</i>)—Updated 1960–2022","title":"Range-wide population trend analysis for greater sage-grouse (Centrocercus urophasianus)—Updated 1960–2022","docAbstract":"<p>Greater sage-grouse (<i>Centrocercus urophasianus</i>) are at the center of state and national land-use policies largely because of their unique life-history traits as an ecological indicator for health of sagebrush ecosystems. This updated population trend analysis provides state and federal land and wildlife managers with best-available science to help guide current management and conservation plans aimed at benefitting sage-grouse populations. This analysis relied on previously published population trend modeling methodology from Coates and others (2021, 2022a) and incorporated population lek count data through 2022. Bayesian state-space models estimated 2.9 percent average annual decline in sage-grouse populations across their geographical range, which varied among subpopulations at the largest scale of analysis, termed climate clusters (2.2–4.7). Cumulative declines were 40.9, 65.0, and 79.6 percent range-wide across short (19 years), medium (35 years), and long (55 years) temporal periods, respectively. These results indicate that the most recent nadir for range-wide populations occurred during 2021. However, growth during 2022 was modest, making 2021 a tentative final nadir at this point.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dr1175","collaboration":"Prepared in cooperation with the Western Association of Fish and Wildlife Agencies and the Bureau of Land Management","programNote":"Species Management Research Program","usgsCitation":"Coates, P.S., Prochazka, B.G., Aldridge, C.L., O'Donnell, M.S., Edmunds, D.R., Monroe, A.P., Hanser, S.E., Wiechman, L.A., and Chenaille, M.P., 2023, Range-wide population trend analysis for greater sage-grouse (Centrocercus urophasianus)—Updated 1960–2022: U.S. Geological Survey Data Report 1175, 17 p., https://doi.org/10.3133/dr1175.","productDescription":"Report: viii, 17 p.; Data Release","numberOfPages":"17","onlineOnly":"Y","ipdsId":"IP-151795","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":417065,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/dr1175/full"},{"id":417060,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9OQWGIV","text":"Trends and a targeted annual warning system for greater sage-grouse in the western United States (ver. 2.0, May 2023)","description":"Coates, P.S., Prochazka, B.G., Aldridge, C.L., O'Donnell, M.S., Edmunds, D.R., Monroe, A.P., Hanser, S.E., Wiechman, L.A., and Chenaille, M.P., 2023, Trends and a targeted annual warning system for greater sage-grouse in the western United States (ver. 2.0, May 2023): U.S. Geological Survey data release, https://doi.org/10.5066/P9OQWGIV."},{"id":417061,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/dr/1175/covrthb.jpg"},{"id":417062,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/dr/1175/dr1175.pdf","text":"Report","size":"13 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":417063,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/dr/1175/dr1175.xml"},{"id":417064,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/dr/1175/images"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -103,\n              49\n            ],\n            [\n              -122,\n              49\n            ],\n            [\n              -122,\n              36\n            ],\n            [\n              -103,\n              36\n            ],\n            [\n              -103,\n              49\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://www.usgs.gov/centers/werc\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/werc\">Western Ecological Research Center</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov\">U.S. Geological Survey</a><br>3020 State University Drive East<br>Sacramento, California 95819</p>","tableOfContents":"<ul><li>Acknowledgments <br></li><li>Abstract <br></li><li>Introduction <br></li><li>Study Area <br></li><li>Data Compilation and Inputs <br></li><li>Range-wide Sage-Grouse Population Model <br></li><li>Range-wide Population Trends <br></li><li>Climate Cluster Population Trends <br></li><li>Watches and Warnings from a Targeted Annual Warning System <br></li><li>References Cited</li></ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2023-05-17","noUsgsAuthors":false,"publicationDate":"2023-05-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Coates, Peter S. 0000-0003-2672-9994 pcoates@usgs.gov","orcid":"https://orcid.org/0000-0003-2672-9994","contributorId":3263,"corporation":false,"usgs":true,"family":"Coates","given":"Peter","email":"pcoates@usgs.gov","middleInitial":"S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":872656,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Prochazka, Brian G. 0000-0001-7270-5550 bprochazka@usgs.gov","orcid":"https://orcid.org/0000-0001-7270-5550","contributorId":174839,"corporation":false,"usgs":true,"family":"Prochazka","given":"Brian","email":"bprochazka@usgs.gov","middleInitial":"G.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":872657,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aldridge, Cameron L. 0000-0003-3926-6941 aldridgec@usgs.gov","orcid":"https://orcid.org/0000-0003-3926-6941","contributorId":191773,"corporation":false,"usgs":true,"family":"Aldridge","given":"Cameron","email":"aldridgec@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":872658,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"O’Donnell, Michael S. 0000-0002-3488-003X odonnellm@usgs.gov","orcid":"https://orcid.org/0000-0002-3488-003X","contributorId":3351,"corporation":false,"usgs":true,"family":"O’Donnell","given":"Michael","email":"odonnellm@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":872659,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Edmunds, David R. 0000-0002-5212-8271 dedmunds@usgs.gov","orcid":"https://orcid.org/0000-0002-5212-8271","contributorId":152210,"corporation":false,"usgs":true,"family":"Edmunds","given":"David","email":"dedmunds@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":872660,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Monroe, Adrian P. 0000-0003-0934-8225 amonroe@usgs.gov","orcid":"https://orcid.org/0000-0003-0934-8225","contributorId":152209,"corporation":false,"usgs":true,"family":"Monroe","given":"Adrian P.","email":"amonroe@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":872661,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hanser, Steve E. 0000-0002-4430-2073 shanser@usgs.gov","orcid":"https://orcid.org/0000-0002-4430-2073","contributorId":152523,"corporation":false,"usgs":true,"family":"Hanser","given":"Steve","email":"shanser@usgs.gov","middleInitial":"E.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":872662,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wiechman, Lief A. 0000-0002-3804-4426","orcid":"https://orcid.org/0000-0002-3804-4426","contributorId":184047,"corporation":false,"usgs":true,"family":"Wiechman","given":"Lief","email":"","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":872663,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Chenaille, Michael P. 0000-0003-3387-7899 mchenaille@usgs.gov","orcid":"https://orcid.org/0000-0003-3387-7899","contributorId":194661,"corporation":false,"usgs":true,"family":"Chenaille","given":"Michael","email":"mchenaille@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":872664,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70243683,"text":"70243683 - 2023 - Bioaccumulation kinetics of model pharmaceuticals in the freshwater unionid pondmussel, Sagittunio subrostratus","interactions":[],"lastModifiedDate":"2023-06-09T15:24:46.635923","indexId":"70243683","displayToPublicDate":"2023-05-17T08:49:14","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Bioaccumulation kinetics of model pharmaceuticals in the freshwater unionid pondmussel, <i>Sagittunio subrostratus</i>","title":"Bioaccumulation kinetics of model pharmaceuticals in the freshwater unionid pondmussel, Sagittunio subrostratus","docAbstract":"<p><span>Bioaccumulation of ionizable pharmaceuticals has been increasingly studied, with most reported aquatic tissue concentrations in field or laboratory experiments being from fish. However, higher levels of antidepressants have been observed in bivalves compared with fish from effluent-dominated and dependent surface waters. Such observations may be important for biodiversity because approximately 70% of freshwater bivalves in North America are considered to be vulnerable to extinction. Because experimental bioaccumulation information for freshwater bivalves is lacking, we examined accumulation dynamics in the freshwater pondmussel,&nbsp;</span><i>Sagittunio subrostratus</i><span>, following exposure to a model weak acid, acetaminophen (mean (±SD) = 4.9 ± 1 µg L</span><sup>–1</sup><span>), and a model weak base, sertraline (mean (±SD) = 1.1 ± 1.1 µg L</span><sup>–1</sup><span>) during 14-day uptake and 7-day depuration experiments. Pharmaceutical concentrations were analyzed in water and tissue using isotope dilution liquid chromatography–tandem mass spectrometry. Mussels accumulated two orders of magnitude higher concentrations of sertraline (31.7 ± 9.4 µg g</span><sup>–1</sup><span>) compared to acetaminophen (0.3 ± 0.1 µg g</span><sup>–1</sup><span>). Ratio and kinetic-based bioaccumulation factors of 28,836.4 (L kg</span><sup>–1</sup><span>) and 34.9 (L kg</span><sup>–1</sup><span>) were calculated for sertraline and for acetaminophen at 65.3 (L kg</span><sup>–1</sup><span>) and 0.13 (L kg</span><sup>–1</sup><span>), respectively. However, after 14 days sertraline did not reach steady-state concentrations, although it was readily eliminated by&nbsp;</span><i>S. subrostratus</i><span>. Acetaminophen rapidly reached steady-state conditions but was not depurated over a 7-day period. Future bioaccumulation studies of ionizable pharmaceuticals in freshwater bivalves appear warranted.&nbsp;</span><i>Environ Toxicol Chem</i><span>&nbsp;2023;00:1–7. © 2023 SETAC. This article has been contributed to by U.S. Government employees and their work is in the public domain in the USA.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/etc.5590","usgsCitation":"Burket, S., Sims, J.L., Dorman, R.A., Kemble, N.E., Brunson, E., Steevens, J.A., and Brooks, B.W., 2023, Bioaccumulation kinetics of model pharmaceuticals in the freshwater unionid pondmussel, Sagittunio subrostratus: Environmental Toxicology and Chemistry, v. 42, no. 6, p. 1183-1189, https://doi.org/10.1002/etc.5590.","productDescription":"7 p.","startPage":"1183","endPage":"1189","ipdsId":"IP-136216","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":499335,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/etc.5590","text":"Publisher Index Page"},{"id":435331,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9HVMQJL","text":"USGS data release","linkHelpText":"Morphometric measurements from unionid Pondmussel (Ligumia subrostrata) and concentrations of four per- and polyfluoroalkyl substances (PFAS) in water and mussels collected from a 14-day accumulation and 7-day elimination study"},{"id":435330,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9OUHJ8N","text":"USGS data release","linkHelpText":"Concentration of sertraline and acetaminophen in freshwater mussel (Sagittunio subrostratus) and water from an exposure bioassay"},{"id":417132,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Missouri","county":"Boone County","otherGeospatial":"Lake Paragon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              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0000-0001-6624-0902","orcid":"https://orcid.org/0000-0001-6624-0902","contributorId":201761,"corporation":false,"usgs":true,"family":"Brunson","given":"Eric","email":"","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":872908,"contributorType":{"id":2,"text":"Editors"},"rank":5}],"authors":[{"text":"Burket, S. Rebekah","contributorId":303970,"corporation":false,"usgs":false,"family":"Burket","given":"S. Rebekah","affiliations":[{"id":13716,"text":"Baylor University","active":true,"usgs":false}],"preferred":false,"id":872902,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sims, Jaylen L.","contributorId":305480,"corporation":false,"usgs":false,"family":"Sims","given":"Jaylen","email":"","middleInitial":"L.","affiliations":[{"id":13716,"text":"Baylor University","active":true,"usgs":false}],"preferred":false,"id":872903,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dorman, Rebecca A. 0000-0002-5748-7046","orcid":"https://orcid.org/0000-0002-5748-7046","contributorId":28522,"corporation":false,"usgs":true,"family":"Dorman","given":"Rebecca","email":"","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":872904,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kemble, Nile E. 0000-0002-3608-0538 nkemble@usgs.gov","orcid":"https://orcid.org/0000-0002-3608-0538","contributorId":2626,"corporation":false,"usgs":true,"family":"Kemble","given":"Nile","email":"nkemble@usgs.gov","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":872905,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brunson, Eric 0000-0001-6624-0902","orcid":"https://orcid.org/0000-0001-6624-0902","contributorId":201761,"corporation":false,"usgs":true,"family":"Brunson","given":"Eric","email":"","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":872930,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Steevens, Jeffery A. 0000-0003-3946-1229","orcid":"https://orcid.org/0000-0003-3946-1229","contributorId":207511,"corporation":false,"usgs":true,"family":"Steevens","given":"Jeffery","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":872906,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Brooks, Bryan W. 0000-0002-6277-9852","orcid":"https://orcid.org/0000-0002-6277-9852","contributorId":198868,"corporation":false,"usgs":false,"family":"Brooks","given":"Bryan","email":"","middleInitial":"W.","affiliations":[{"id":35352,"text":"Department of Environmental Science, Baylor University, Waco, TX, USA","active":true,"usgs":false}],"preferred":false,"id":872907,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70244211,"text":"70244211 - 2023 - Supervised versus unsupervised approaches to classification of accelerometry data","interactions":[],"lastModifiedDate":"2023-06-07T13:50:04.432165","indexId":"70244211","displayToPublicDate":"2023-05-17T08:46:53","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Supervised versus unsupervised approaches to classification of accelerometry data","docAbstract":"<p><span>Sophisticated animal-borne sensor systems are increasingly providing novel insight into how animals behave and move. Despite their widespread use in ecology, the diversity and expanding quality and quantity of data they produce have created a need for robust analytical methods for biological interpretation. Machine learning tools are often used to meet this need. However, their relative effectiveness is not well known and, in the case of unsupervised tools, given that they do not use validation data, their accuracy can be difficult to assess. We evaluated the effectiveness of supervised (</span><i>n</i><span> = 6), semi-supervised (</span><i>n</i><span> = 1), and unsupervised (</span><i>n</i><span> = 2) approaches to analyzing accelerometry data collected from critically endangered California condors (</span><i>Gymnogyps californianus</i><span>). Unsupervised K-means and EM (expectation–maximization) clustering approaches performed poorly, with adequate classification accuracies of &lt;0.8 but very low values for kappa statistics (range: −0.02 to 0.06). The semi-supervised nearest mean classifier was moderately effective at classification, with an overall classification accuracy of 0.61 but effective classification only of two of the four behavioral classes. Supervised random forest (RF) and k-nearest neighbor (kNN) machine learning models were most effective at classification across all behavior types, with overall accuracies &gt;0.81. Kappa statistics were also highest for RF and kNN, in most cases substantially greater than for other modeling approaches. Unsupervised modeling, which is commonly used for the classification of a priori-defined behaviors in telemetry data, can provide useful information but likely is instead better suited to post hoc definition of generalized behavioral states. This work also shows the potential for substantial variation in classification accuracy among different machine learning approaches and among different metrics of accuracy. As such, when analyzing biotelemetry data, best practices appear to call for the evaluation of several machine learning techniques and several measures of accuracy for each dataset under consideration.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.10035","usgsCitation":"Sur, M., Hall, J.C., Brandt, J., Astell, M., Poessel, S.A., and Katzner, T., 2023, Supervised versus unsupervised approaches to classification of accelerometry data: Ecology and Evolution, v. 13, no. 5, e10035, 11 p., https://doi.org/10.1002/ece3.10035.","productDescription":"e10035, 11 p.","ipdsId":"IP-144075","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":443508,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.10035","text":"Publisher Index Page"},{"id":435332,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9PAVUEZ","text":"USGS data release","linkHelpText":"Tri-axial acceleration data from California condors (Gymnogyps californianus), California, USA"},{"id":417910,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","issue":"5","noUsgsAuthors":false,"publicationDate":"2023-05-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Sur, Maitreyi","contributorId":191354,"corporation":false,"usgs":false,"family":"Sur","given":"Maitreyi","email":"","affiliations":[],"preferred":false,"id":874874,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hall, Jonathan C.","contributorId":202606,"corporation":false,"usgs":false,"family":"Hall","given":"Jonathan","email":"","middleInitial":"C.","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":874875,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brandt, Joseph","contributorId":127742,"corporation":false,"usgs":false,"family":"Brandt","given":"Joseph","affiliations":[{"id":7133,"text":"California Condor Recovery Program, US Fish and Wildlife Service, Ventura, CA","active":true,"usgs":false}],"preferred":false,"id":874876,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Astell, Molly","contributorId":199753,"corporation":false,"usgs":false,"family":"Astell","given":"Molly","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":874877,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Poessel, Sharon A. 0000-0002-0283-627X spoessel@usgs.gov","orcid":"https://orcid.org/0000-0002-0283-627X","contributorId":168465,"corporation":false,"usgs":true,"family":"Poessel","given":"Sharon","email":"spoessel@usgs.gov","middleInitial":"A.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":874878,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Katzner, Todd E. 0000-0003-4503-8435 tkatzner@usgs.gov","orcid":"https://orcid.org/0000-0003-4503-8435","contributorId":191353,"corporation":false,"usgs":true,"family":"Katzner","given":"Todd E.","email":"tkatzner@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":874879,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70243677,"text":"70243677 - 2023 - Measuring basin-scale aquifer storage change and mapping specific yield in Albuquerque, New Mexico, USA, with repeat microgravity data","interactions":[],"lastModifiedDate":"2023-05-17T13:46:57.844673","indexId":"70243677","displayToPublicDate":"2023-05-17T08:37:17","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3823,"text":"Journal of Hydrology: Regional Studies","active":true,"publicationSubtype":{"id":10}},"title":"Measuring basin-scale aquifer storage change and mapping specific yield in Albuquerque, New Mexico, USA, with repeat microgravity data","docAbstract":"<div id=\"abs0010\"><p id=\"sect0010\" class=\"u-h4 u-margin-m-top u-margin-xs-bottom\"><i>Study Region</i></p><p id=\"sp0070\">The groundwater basin underlying the City of Albuquerque, New Mexico, USA.</p></div><div id=\"abs0015\"><p id=\"sect0015\" class=\"u-h4 u-margin-m-top u-margin-xs-bottom\"><i>Study Focus</i></p><p id=\"sp0075\">The study focuses on changes in groundwater storage and how those changes relate to groundwater-level changes. Groundwater storage change was measured using repeat microgravity at 35 stations from 2016 to 2021. Usually, storage is monitored by converting groundwater-level changes to storage changes using the aquifer storage coefficient, a difficult property to measure. With gravity, storage change can be measured directly. The storage coefficient, or specific yield in an unconfined aquifer, was estimated using the gravity method at individual sites, and a map created showing how this property varies over the region.</p></div><div id=\"abs0020\"><p id=\"sect0020\" class=\"u-h4 u-margin-m-top u-margin-xs-bottom\"><i>New Hydrological Insights for the Region</i></p><p id=\"sp0080\">For the first time, a map of specific yield was produced based on interpolated maps of gravity-derived storage change and groundwater-level change, allowing inference of this property over a broad region even without collocated monitoring wells and gravity stations. Gravity data indicate aquifer drawdown and recovery mainly occurs in the central part of the basin where pumping is greatest. This spatial distribution is not captured by the more widely spaced monitoring well network. Because the aquifer is recovering from historically greater-magnitude pumping, net-neutral storage change (inflow=outflow) occurs when pumping from the central part of the well field is about 1.54&nbsp;×&nbsp;10<sup>7</sup><span>&nbsp;</span>cubic meters (12,500 acre-feet) per year.</p></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ejrh.2023.101413","usgsCitation":"Kennedy, J.R., and Bell, M., 2023, Measuring basin-scale aquifer storage change and mapping specific yield in Albuquerque, New Mexico, USA, with repeat microgravity data: Journal of Hydrology: Regional Studies, v. 47, 101413, 15 p., https://doi.org/10.1016/j.ejrh.2023.101413.","productDescription":"101413, 15 p.","ipdsId":"IP-142695","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true},{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":443510,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ejrh.2023.101413","text":"Publisher Index Page"},{"id":417129,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","city":"Albuquerque","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -106.40748889587313,\n              35.31586215046366\n            ],\n            [\n              -106.79511678846217,\n              35.31586215046366\n            ],\n            [\n              -106.79511678846217,\n              34.98223495299035\n            ],\n            [\n              -106.40748889587313,\n              34.98223495299035\n            ],\n            [\n              -106.40748889587313,\n              35.31586215046366\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"47","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kennedy, Jeffrey R. 0000-0002-3365-6589 jkennedy@usgs.gov","orcid":"https://orcid.org/0000-0002-3365-6589","contributorId":176478,"corporation":false,"usgs":true,"family":"Kennedy","given":"Jeffrey","email":"jkennedy@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":true,"id":872893,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bell, Meghan T. 0000-0003-4993-1642","orcid":"https://orcid.org/0000-0003-4993-1642","contributorId":209712,"corporation":false,"usgs":true,"family":"Bell","given":"Meghan T.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":872894,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70243691,"text":"70243691 - 2023 - Relative contributions of water-level components to extreme water levels along the US Southeast Atlantic Coast from a regional-scale water-level hindcast","interactions":[],"lastModifiedDate":"2023-06-27T16:55:28.533795","indexId":"70243691","displayToPublicDate":"2023-05-17T08:23:54","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2822,"text":"Natural Hazards","active":true,"publicationSubtype":{"id":10}},"title":"Relative contributions of water-level components to extreme water levels along the US Southeast Atlantic Coast from a regional-scale water-level hindcast","docAbstract":"A 38-year hindcast water level product is developed for the U.S. Southeast Atlantic coastline from the entrance of Chesapeake Bay to the southeast tip of Florida. The water level modelling framework utilized in this study combines a global-scale hydrodynamic model (Global Tide and Surge Model, GTSM-ERA5), a novel ensemble-based tide model, a parameterized wave setup model, and statistical corrections applied to improve modelled water level components. Corrected water level data are found to be skillful, with an RMSE of 13 cm, when compared to observed water level measurement at tide gauge locations. The largest errors in the hindcast are location-based and typically found in the tidal component of the model. Extreme water levels across the region are driven by compound events, in this case referring to combined surge, tide, and wave forcing. However, the relative importance of water level components varies spatially, such that tides are found to be more important in the center of the study region, non-tidal residual water levels to the north, and wave setup in the north and south. Hurricanes drive the most extreme water level events within the study area, but non-hurricane events define the low to mid-level recurrence interval water level events. This study presents a robust analysis of the complex oceanographic factors that drive coastal flood events. This dataset will support a variety of critical coastal research goals including research related to coastal hazards, landscape change, and community risk assessments.","language":"English","publisher":"Springer","doi":"10.1007/s11069-023-05939-6","usgsCitation":"Parker, K.A., Erikson, L.H., Thomas, J.A., Nederhoff, C.M., Barnard, P.L., and Muis, S., 2023, Relative contributions of water-level components to extreme water levels along the US Southeast Atlantic Coast from a regional-scale water-level hindcast: Natural Hazards, v. 117, p. 2219-2248, https://doi.org/10.1007/s11069-023-05939-6.","productDescription":"30 p.","startPage":"2219","endPage":"2248","ipdsId":"IP-145520","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":443513,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s11069-023-05939-6","text":"Publisher Index Page"},{"id":417127,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida, Georgia, North Carolina, South Carolina, Virginia","otherGeospatial":"Atlantic Ocean","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -76.73989838228734,\n              38.17075331061062\n            ],\n            [\n              -77.392155683608,\n              37.35436739692743\n            ],\n            [\n              -76.88303221331569,\n              36.56140449548228\n            ],\n            [\n              -77.20248647145232,\n              35.42536497179998\n            ],\n            [\n              -77.61505247384088,\n              34.82917011193237\n            ],\n            [\n              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-75.04800072847901,\n              38.05432838126049\n            ],\n            [\n              -76.17381190388272,\n              37.91884185296432\n            ],\n            [\n              -76.73989838228734,\n              38.17075331061062\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"117","noUsgsAuthors":false,"publicationDate":"2023-04-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Parker, Kai Alexander 0000-0002-0268-3891","orcid":"https://orcid.org/0000-0002-0268-3891","contributorId":292869,"corporation":false,"usgs":true,"family":"Parker","given":"Kai","email":"","middleInitial":"Alexander","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":872924,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Erikson, Li H. 0000-0002-8607-7695 lerikson@usgs.gov","orcid":"https://orcid.org/0000-0002-8607-7695","contributorId":149963,"corporation":false,"usgs":true,"family":"Erikson","given":"Li","email":"lerikson@usgs.gov","middleInitial":"H.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":872925,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thomas, Jennifer Anne 0000-0002-8338-0146","orcid":"https://orcid.org/0000-0002-8338-0146","contributorId":297988,"corporation":false,"usgs":true,"family":"Thomas","given":"Jennifer","email":"","middleInitial":"Anne","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":872926,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nederhoff, Cornelis M. 0000-0003-0552-3428","orcid":"https://orcid.org/0000-0003-0552-3428","contributorId":265889,"corporation":false,"usgs":false,"family":"Nederhoff","given":"Cornelis","email":"","middleInitial":"M.","affiliations":[{"id":33886,"text":"Deltares USA","active":true,"usgs":false}],"preferred":true,"id":872927,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Barnard, Patrick L. 0000-0003-1414-6476 pbarnard@usgs.gov","orcid":"https://orcid.org/0000-0003-1414-6476","contributorId":140982,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick","email":"pbarnard@usgs.gov","middleInitial":"L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":872928,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Muis, Sanne 0000-0002-8145-0171","orcid":"https://orcid.org/0000-0002-8145-0171","contributorId":305488,"corporation":false,"usgs":false,"family":"Muis","given":"Sanne","email":"","affiliations":[{"id":36257,"text":"Deltares","active":true,"usgs":false}],"preferred":false,"id":872929,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70246580,"text":"70246580 - 2023 - Spatial variability in vertical accretion and carbon sequestration in salt marsh soils of an urban estuary","interactions":[],"lastModifiedDate":"2023-07-12T10:52:50.782645","indexId":"70246580","displayToPublicDate":"2023-05-17T08:13:28","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Spatial variability in vertical accretion and carbon sequestration in salt marsh soils of an urban estuary","docAbstract":"<p><span>Salt marshes in New York City’s Jamaica Bay have been disappearing and deteriorating since early 1900s, resulting in the loss of long-term accumulated carbon storage. However, the spatial variations and mechanisms in vertical accretion and soil organic carbon (SOC) sequestration across this highly urbanized estuary remains unclear. In this study, we collected soil cores to a depth of ~ 50&nbsp;cm across Jamaica Bay to study the spatial variability in long-term (50–100 years) vertical accretion, the accumulation of mineral sediment and organic matter, and SOC sequestration. Results of gamma spectrometry analysis of&nbsp;</span><sup>137</sup><span>Cs and&nbsp;</span><sup>210</sup><span>Pb show that there was moderate spatial variability in long-term vertical accretion rates across Jamaica Bay study sites (mean: 0.48 ± 0.13&nbsp;cm yr</span><sup>− 1</sup><span>, range: 0.36–0.78&nbsp;cm yr</span><sup>− 1</sup><span>). This local scale spatial variability in vertical accretion is largely driven by spatial variations of sedimentation. The magnitude of the long-term vertical accretion in Jamaica Bay is significantly correlated with organic matter accumulation, but not with mineral sediment. However, the role of organic matter in contributing to vertical accretion has been declining. The declining role of organic matter to vertical accretion is reflected by the lower SOC sequestration rate (mean: 128 and range: 26–189&nbsp;g C m</span><sup>− 2</sup><span>&nbsp;yr</span><sup>− 1</sup><span>&nbsp;using the&nbsp;</span><sup>210</sup><span>Pb dating technique) compared to the global mean salt marsh SOC sequestration rate (244&nbsp;g C m</span><sup>− 2</sup><span>&nbsp;yr</span><sup>− 1</sup><span>). This is especially so on the marsh islands in the degrading western part of the bay where SOC sequestration was less than half the global average.</span></p>","language":"English","publisher":"Springer Nature","doi":"10.1007/s13157-023-01699-y","usgsCitation":"Wang, H., Snedden, G., Hartig, E., and Chen, Q., 2023, Spatial variability in vertical accretion and carbon sequestration in salt marsh soils of an urban estuary: Wetlands, v. 43, no. 5, 49, 16 p.; Data Release, https://doi.org/10.1007/s13157-023-01699-y.","productDescription":"49, 16 p.; Data Release","ipdsId":"IP-147054","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":418859,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":418858,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9XQBYXU","text":"Soil property and geochronology (137Cs and 210Pb) data (2014) in salt marsh soils of Jamaica Bay Estuary, New York City"}],"country":"United States","state":"New York","city":"New York City","otherGeospatial":"Jamaica Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -73.9351951637045,\n              40.55401609118147\n            ],\n            [\n              -73.76456876917054,\n              40.59793722111755\n            ],\n            [\n              -73.73117649148077,\n              40.6337950544268\n            ],\n            [\n              -73.7409498410488,\n              40.65326150244678\n            ],\n            [\n              -73.75357375090694,\n              40.644919434207\n            ],\n            [\n              -73.77637823323138,\n              40.626377771367885\n            ],\n            [\n              -73.81832219179216,\n              40.65233465747326\n            ],\n            [\n              -73.85334336107574,\n              40.6541883345451\n            ],\n            [\n              -73.88632841586649,\n              40.64275650554836\n            ],\n            [\n              -73.89813787992736,\n              40.61710500899537\n            ],\n            [\n              -73.88592119296749,\n              40.58433093987168\n            ],\n            [\n              -73.89895232572465,\n              40.590515956374276\n            ],\n            [\n              -73.9315301576164,\n              40.59731881385059\n            ],\n            [\n              -73.9547418628391,\n              40.58927899883426\n            ],\n            [\n              -73.9351951637045,\n              40.55401609118147\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"43","issue":"5","noUsgsAuthors":false,"publicationDate":"2023-05-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Wang, Hongqing 0000-0002-2977-7732","orcid":"https://orcid.org/0000-0002-2977-7732","contributorId":219641,"corporation":false,"usgs":true,"family":"Wang","given":"Hongqing","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":877277,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Snedden, Gregg 0000-0001-7821-3709","orcid":"https://orcid.org/0000-0001-7821-3709","contributorId":213411,"corporation":false,"usgs":true,"family":"Snedden","given":"Gregg","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":877278,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hartig, Ellen K.","contributorId":179351,"corporation":false,"usgs":false,"family":"Hartig","given":"Ellen K.","affiliations":[],"preferred":false,"id":877279,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chen, Q. 0000-0002-6540-8758","orcid":"https://orcid.org/0000-0002-6540-8758","contributorId":56532,"corporation":false,"usgs":false,"family":"Chen","given":"Q.","affiliations":[{"id":38331,"text":"Northeastern University","active":true,"usgs":false}],"preferred":true,"id":877280,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70246287,"text":"70246287 - 2023 - Reference genome of an iconic lizard in western North America, Blainville’s horned lizard Phrynosoma blainvillii","interactions":[],"lastModifiedDate":"2023-06-30T11:58:09.623078","indexId":"70246287","displayToPublicDate":"2023-05-17T06:55:51","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2333,"text":"Journal of Heredity","active":true,"publicationSubtype":{"id":10}},"title":"Reference genome of an iconic lizard in western North America, Blainville’s horned lizard Phrynosoma blainvillii","docAbstract":"<p class=\"chapter-para\">Genome assemblies are increasingly being used to identify adaptive genetic variation that can help prioritize the population management of protected species. This approach may be particularly relevant to species like Blainville’s horned lizard,<span>&nbsp;</span><i>Phrynosoma blainvillii</i>, due to its specialized diet on noxious harvester ants, numerous adaptative traits for avoiding predation (e.g. cranial horns, dorsoventrally compressed body, cryptic coloration, and blood squirting from the orbital sinuses), and status as Species of Special Concern in California. Rangewide decline since the early 20th century, the basis of its conservation status, has been driven mainly by habitat conversion, over-collecting, and invasion of a non-native ant that displaces its native ant prey base. Here, we report on a scaffold-level genome assembly for<span>&nbsp;</span><i>P. blainvillii</i><span>&nbsp;</span>as part of the California Conservation Genomics Project (CCGP), produced using Pacific Biosciences HiFi long reads and Hi-C chromatin-proximity sequencing technology. The de novo assembly has 78 scaffolds, a total length of ~2.21 Gb, a scaffold N50 length of ~352 Mb, and BUSCO score of 97.4%. This is the second species of<span>&nbsp;</span><i>Phrynosoma</i><span>&nbsp;</span>for which a reference genome has been assembled and represents a considerable improvement in terms of contiguity and completeness. Combined with the landscape genomics data being compiled by the CCGP, this assembly will help strategize efforts to maintain and/or restore local genetic diversity, where interventions like genetic rescue, translocation, and strategic land preservation may be the only means by which<span>&nbsp;</span><i>P. blainvillii</i><span>&nbsp;</span>and other low-vagility species can survive in the fragmented habitats of California.</p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/jhered/esad032","usgsCitation":"Richmond, J.Q., McGuire, J.A., Escalona, M., Marimuthu, M.P., Nguyen, O., Sacco, S., Beraut, E., Toffelmier, E., Fisher, R., Wang, I.J., and Shaffer, H., 2023, Reference genome of an iconic lizard in western North America, Blainville’s horned lizard Phrynosoma blainvillii: Journal of Heredity, v. 114, no. 4, p. 410-417, https://doi.org/10.1093/jhered/esad032.","productDescription":"8 p.","startPage":"410","endPage":"417","ipdsId":"IP-153689","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":443517,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/jhered/esad032","text":"Publisher Index Page"},{"id":418652,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            -122.88566838766037,\n            38.33784509001799\n          ],\n          [\n            -123.10535225470667,\n            39.3982851260254\n          ],\n          [\n            -122.88566838766037,\n            40.576466166638994\n          ],\n          [\n            -122.22661678652125,\n            41.008890264692894\n          ],\n          [\n            -121.523628411973,\n            40.006744959278336\n          ],\n          [\n            -120.95245035765231,\n            38.88714445295605\n          ],\n          [\n            -118.7995484605982,\n            36.48843092115578\n          ],\n          [\n            -117.12995107104577,\n            35.707412434279306\n          ],\n          [\n            -115.85578464217711,\n            34.04948965995452\n          ],\n          [\n            -115.54822722831209,\n            32.91349595613495\n          ],\n          [\n            -116.60270979013472,\n            32.728881202232856\n          ],\n          [\n            -117.26176139127361,\n            32.54388334243451\n          ],\n          [\n            -118.71167491377948,\n            33.72122159857152\n          ],\n          [\n            -120.73276649060601,\n            34.303934264242145\n          ],\n          [\n            -122.18268001311188,\n            35.921186851580856\n          ],\n          [\n            -122.75385806743256,\n            36.98138772543193\n          ],\n          [\n            -122.62204774720473,\n            37.819065373689384\n          ]\n        ],\n        \"type\": \"LineString\"\n      }\n    }\n  ]\n}","volume":"114","issue":"4","noUsgsAuthors":false,"publicationDate":"2023-05-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Richmond, Jonathan Q. 0000-0001-9398-4894 jrichmond@usgs.gov","orcid":"https://orcid.org/0000-0001-9398-4894","contributorId":5400,"corporation":false,"usgs":true,"family":"Richmond","given":"Jonathan","email":"jrichmond@usgs.gov","middleInitial":"Q.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":876658,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McGuire, Jimmy A.","contributorId":216474,"corporation":false,"usgs":false,"family":"McGuire","given":"Jimmy","email":"","middleInitial":"A.","affiliations":[{"id":13243,"text":"University of California Berkeley","active":true,"usgs":false}],"preferred":false,"id":876659,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Escalona, Merly","contributorId":299346,"corporation":false,"usgs":false,"family":"Escalona","given":"Merly","email":"","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":876660,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Marimuthu, Mohan P. A.","contributorId":299347,"corporation":false,"usgs":false,"family":"Marimuthu","given":"Mohan","email":"","middleInitial":"P. A.","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":876661,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nguyen, Oanh","contributorId":299348,"corporation":false,"usgs":false,"family":"Nguyen","given":"Oanh","email":"","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":876662,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sacco, Samuel","contributorId":299349,"corporation":false,"usgs":false,"family":"Sacco","given":"Samuel","email":"","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":876663,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Beraut, Eric","contributorId":299352,"corporation":false,"usgs":false,"family":"Beraut","given":"Eric","email":"","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":876664,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Toffelmier, Erin","contributorId":299356,"corporation":false,"usgs":false,"family":"Toffelmier","given":"Erin","email":"","affiliations":[{"id":12763,"text":"University of California, Los Angeles","active":true,"usgs":false}],"preferred":false,"id":876665,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Fisher, Robert N. 0000-0002-2956-3240","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":51675,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":876666,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Wang, Ian J.","contributorId":315485,"corporation":false,"usgs":false,"family":"Wang","given":"Ian","email":"","middleInitial":"J.","affiliations":[{"id":36942,"text":"University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":876667,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Shaffer, H.B.","contributorId":239488,"corporation":false,"usgs":false,"family":"Shaffer","given":"H.B.","affiliations":[{"id":47888,"text":"Department of Ecology and Evolutionary Biology and La Kretz Center for California Conservation Science, University of California, Los Angeles, CA, USA","active":true,"usgs":false}],"preferred":false,"id":876668,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70249827,"text":"70249827 - 2023 - Compensatory mortality explains rodent resilience to an invasive predator","interactions":[],"lastModifiedDate":"2023-10-31T11:52:54.440602","indexId":"70249827","displayToPublicDate":"2023-05-17T06:51:09","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2373,"text":"Journal of Mammalogy","onlineIssn":"1545-1542","printIssn":"0022-2372","active":true,"publicationSubtype":{"id":10}},"title":"Compensatory mortality explains rodent resilience to an invasive predator","docAbstract":"<p class=\"chapter-para\">Invasive Burmese pythons (<i>Python bivittatus</i>) in the Everglades of Florida, United States, have drastically reduced populations of mammals, yet populations of some rodents appear unaffected by the invasion. To understand this pattern, we radio-tagged cotton rats (<i>Sigmodon hispidus</i>) in areas of high and low python occurrence densities (hereafter occurrence) and quantified the effects of python occurrence, seasonality, and sex on their survival and cause-specific mortality. Cotton rat survival was not influenced by difference in python occurrence (hazard ratio = 1.32, 95%<span>&nbsp;</span><i>CI</i><span>&nbsp;</span>= 0.77–2.26,<span>&nbsp;</span><i>P</i><span>&nbsp;</span>= 0.30). However, cotton rats were at greater risk from mortalities caused by mammals in areas of low python occurrence. In areas with elevated python occurrence, we attributed most cotton rat mortalities to birds of prey (48.6%) and reptiles (non-python = 24.3%, python = 16.2%). Where python occurrence was relatively low, we attributed cotton rat mortalities to native reptilian (28.6%), avian (35.7%), and mammalian predators (35.7%) with no python-related deaths. In total, pythons were responsible for 11.8% of all cotton rat mortalities. Finding no difference in the survival of cotton rats, despite differences in the causative agents of mortality, suggests that predation pressure from an invasive predator was compensatory for cotton rat population dynamics. This type of compensatory mortality is common for small mammals and helps explain why mammal communities in python-invaded portions of the Greater Everglades Ecosystem are increasingly dominated by cotton rats and other rodents.</p>","language":"English","publisher":"American Society of Mammalogists","doi":"10.1093/jmammal/gyad043","usgsCitation":"McCampbell, M.E., Hunter, M., Stechly, J.V., Leist, K.N., Hart, K., and McCleery, R.A., 2023, Compensatory mortality explains rodent resilience to an invasive predator: Journal of Mammalogy, v. 104, no. 5, p. 967-978, https://doi.org/10.1093/jmammal/gyad043.","productDescription":"12 p.","startPage":"967","endPage":"978","ipdsId":"IP-140270","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":422285,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"104","issue":"5","noUsgsAuthors":false,"publicationDate":"2023-05-17","publicationStatus":"PW","contributors":{"authors":[{"text":"McCampbell, Marina E.","contributorId":331286,"corporation":false,"usgs":false,"family":"McCampbell","given":"Marina","email":"","middleInitial":"E.","affiliations":[{"id":40348,"text":"Department of Wildlife Ecology and Conservation, University of Florida","active":true,"usgs":false}],"preferred":false,"id":887239,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hunter, Margaret 0000-0002-4760-9302","orcid":"https://orcid.org/0000-0002-4760-9302","contributorId":214958,"corporation":false,"usgs":true,"family":"Hunter","given":"Margaret","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":887240,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stechly, John V. 0000-0001-7237-8721","orcid":"https://orcid.org/0000-0001-7237-8721","contributorId":331288,"corporation":false,"usgs":false,"family":"Stechly","given":"John","email":"","middleInitial":"V.","affiliations":[{"id":64427,"text":"Cherokee Nation System Solutions","active":true,"usgs":false}],"preferred":false,"id":887241,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Leist, Kaitlyn N.","contributorId":331289,"corporation":false,"usgs":false,"family":"Leist","given":"Kaitlyn","email":"","middleInitial":"N.","affiliations":[{"id":40348,"text":"Department of Wildlife Ecology and Conservation, University of Florida","active":true,"usgs":false}],"preferred":false,"id":887242,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hart, Kristen 0000-0002-5257-7974","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":218324,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":887243,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McCleery, Robert A.","contributorId":139849,"corporation":false,"usgs":false,"family":"McCleery","given":"Robert","email":"","middleInitial":"A.","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":887244,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70243670,"text":"70243670 - 2023 - Status and trends of the Lake Huron prey fish community, 1976-2022","interactions":[],"lastModifiedDate":"2024-03-29T15:29:19.922974","indexId":"70243670","displayToPublicDate":"2023-05-16T10:26:17","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"title":"Status and trends of the Lake Huron prey fish community, 1976-2022","docAbstract":"<p>The United States Geological Survey-Great Lakes Science Center has monitored annual changes in the offshore prey fish community of Lake Huron since 1973. Monitoring of prey fish populations in Lake Huron is based on a bottom trawl survey that targets demersal (benthic) species and an acoustic-midwater trawl survey that targets pelagic species and life stages. Status of the main basin prey fish community in 2022 was considered ‘Fair’ due to sustained improvements in native species status but species diversity that remains below desired levels. Current lake conditions, characterized by ongoing oligotrophication, seem to favor native coregonines like Bloater (<i>Coregonus artedi</i>), which in the main basin has exhibited signs of population growth and strong recruitment in recent years, and Cisco (<i>Coregonus artedi</i>), whose biomass in the North Channel increased for the second consecutive year in 2022. In contrast, conditions in the main basin are less favorable for exotic prey fish such as Alewife (<i>Alosa pseudoharengus</i>), whose population collapsed in 2014 and has not recovered, and Rainbow Smelt (<i>Osmerus mordax</i>), which remains the second-most abundant prey species in the main basin but has produced multiple weak year classes over the past decade including in 2022. Status of benthic prey fish in the main basin in 2022 depended on species. As in prior years, the native sculpin community in 2022 consisted primarily of Deepwater Sculpin (<i>Myoxocephalus thompsoni</i>) because Slimy Sculpin (<i>Cottus cognatus</i>) has become exceedingly rare. In contrast, biomass of the ecologically similar Round Goby (<i>Neogobius melanostomus</i>), an exotic species, reached an all-time high in 2022. Use of complementary surveys (bottom trawl, acoustics) remains important for evaluating prey fish status in Lake Huron, where prey fish community dynamics vary by basin and prey fish responses to changing environmental conditions depend on species and/or habitat. </p>","language":"English","publisher":"Great Lakes Fishery Commission","usgsCitation":"Hondorp, D.W., O’Brien, T.P., Roseman, E., and Esselman, P., 2023, Status and trends of the Lake Huron prey fish community, 1976-2022, 25 p.","productDescription":"25 p.","ipdsId":"IP-152224","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":427243,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":427242,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"http://www.glfc.org/publication-media-search.php","linkFileType":{"id":5,"text":"html"}}],"country":"Canada, United States","otherGeospatial":"Lake Huron","geographicExtents":"{\n  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           ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hondorp, Darryl W. 0000-0002-5182-1963 dhondorp@usgs.gov","orcid":"https://orcid.org/0000-0002-5182-1963","contributorId":5376,"corporation":false,"usgs":true,"family":"Hondorp","given":"Darryl","email":"dhondorp@usgs.gov","middleInitial":"W.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":872868,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"O’Brien, Timothy P. 0000-0003-4502-5204 tiobrien@usgs.gov","orcid":"https://orcid.org/0000-0003-4502-5204","contributorId":2662,"corporation":false,"usgs":true,"family":"O’Brien","given":"Timothy","email":"tiobrien@usgs.gov","middleInitial":"P.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":872869,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roseman, Edward F. 0000-0002-5315-9838","orcid":"https://orcid.org/0000-0002-5315-9838","contributorId":217909,"corporation":false,"usgs":true,"family":"Roseman","given":"Edward F.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":872870,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Esselman, Peter C. 0000-0002-0085-903X","orcid":"https://orcid.org/0000-0002-0085-903X","contributorId":204291,"corporation":false,"usgs":true,"family":"Esselman","given":"Peter C.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":872871,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70243629,"text":"sim3495 - 2023 - Logs and data from the Starthistle trench across a scarp within the Wallula Fault Zone, southeastern Washington","interactions":[],"lastModifiedDate":"2026-02-19T17:34:17.455519","indexId":"sim3495","displayToPublicDate":"2023-05-16T09:17:05","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3495","displayTitle":"Logs and Data from the Starthistle Trench Across a Scarp within the Wallula Fault Zone, Southeastern Washington","title":"Logs and data from the Starthistle trench across a scarp within the Wallula Fault Zone, southeastern Washington","docAbstract":"<h1>Introduction</h1><p>The Wallula Fault Zone is composed of a series of northwest-trending faults and folds that coincide with a prominent magnetic anomaly that extends uninterrupted for approximately 120 kilometers within the Cascadia back arc of southeastern Washington and northeastern Oregon. It is part of the geologic structures associated with the topographic lineament known as the Olympic-Wallowa lineament and represents a relatively narrow zone of active faulting and seismicity that trend along the northern flank of the Horse Heaven Hills. Prior paleoseismic study of the Wallula Fault at an exposure at Finley Quarry indicates multiple Quaternary ruptures, including a Holocene liquefaction event, demonstrating that this fault zone poses a seismic hazard to the Tri-Cities region (Richland, Pasco, Kennewick) in southeastern Washington. </p><p>Recent airborne light detection and ranging (lidar) data coverage east of the Columbia River reveals an approximately 0.5-meter-high south-facing scarp east of the Columbia River that extends, almost continuously, for about 25 km to the east along the base of the Horse Heaven Hills. As part of an effort to assess and characterize the seismic hazard posed by the Wallula Fault Zone, we excavated and studied a trench exposure across the scarp to understand its origin and the potential history of rupture along the fault zone. We present preliminary mapping and trench site information from a paleoseismic investigation. These field and laboratory data may support development of a history of the latest Pleistocene and Holocene surface rupture within the Wallula Fault Zone.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3495","usgsCitation":"Angster, S.J., Sherrod, B.L., and Lasher, J., 2023, Logs and data from the Starthistle trench across a scarp within the Wallula Fault Zone, southeastern Washington: U.S. Geological Survey Scientific Investigations Map 3495, pamphlet 3 p., 1 sheet, https://doi.org/10.3133/sim3495.","productDescription":"Report: iv, 3 p.; 1 Sheet: 49.32 × 32.44 inches","numberOfPages":"3","additionalOnlineFiles":"Y","ipdsId":"IP-126146","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":417068,"rank":3,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3495/sim3495_sheet.pdf","text":"Sheet","size":"25 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Logs and Data from the Starthistle Trench Across a Scarp within the Wallula Fault Zone, Southeastern Washington"},{"id":417067,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3495/sim3495_pamphlet.pdf","text":"Pamphlet","size":"2 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":417066,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3495/covrthb.jpg"},{"id":500198,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_114733.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Washington","otherGeospatial":"Wallula Fault Zone","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -119.64099161023873,\n              46.4241743263303\n            ],\n            [\n              -119.64099161023873,\n              45.947340820158956\n            ],\n            [\n              -118.30440547571823,\n              45.947340820158956\n            ],\n            [\n              -118.30440547571823,\n              46.4241743263303\n            ],\n            [\n              -119.64099161023873,\n              46.4241743263303\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://www.usgs.gov/centers/earthquake-science-center\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/earthquake-science-center\">Earthquake Science Center</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov\">U.S. Geological Survey</a><br>345 Middlefield Road <br>Mail Stop 977 <br>Menlo Park, CA 94025 <br></p>","tableOfContents":"<ul><li>Introduction</li><li>Methods</li><li>The Starthistle Trench Site</li><li>Acknowledgments</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2023-05-16","noUsgsAuthors":false,"publicationDate":"2023-05-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Angster, Stephen J. 0000-0001-9250-8415 sangster@usgs.gov","orcid":"https://orcid.org/0000-0001-9250-8415","contributorId":3885,"corporation":false,"usgs":true,"family":"Angster","given":"Stephen","email":"sangster@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":872665,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sherrod, Brian L. 0000-0002-4492-8631 bsherrod@usgs.gov","orcid":"https://orcid.org/0000-0002-4492-8631","contributorId":2834,"corporation":false,"usgs":true,"family":"Sherrod","given":"Brian","email":"bsherrod@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":872666,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lasher, John","contributorId":271205,"corporation":false,"usgs":false,"family":"Lasher","given":"John","affiliations":[{"id":56315,"text":"Ellensburg, WA","active":true,"usgs":false}],"preferred":false,"id":872667,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70260123,"text":"70260123 - 2023 - Breaking plates: Creation of the East Anatolian fault, the Anatolian plate, and a tectonic escape system","interactions":[],"lastModifiedDate":"2024-10-29T13:58:16.517135","indexId":"70260123","displayToPublicDate":"2023-05-16T08:45:28","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Breaking plates: Creation of the East Anatolian fault, the Anatolian plate, and a tectonic escape system","docAbstract":"<p><span>Lateral movement of lithospheric fragments along strike-slip faults in response to collision (escape tectonics) has characterized convergent settings since the onset of plate tectonics and is a mechanism for the formation of new plates. The Anatolian plate was created by the sequential connection of strike-slip faults following ≥10 m.y. of distributed deformation that ultimately localized into plate-bounding faults. Thermochronology data and seismic images of lithosphere structure near the East Anatolian fault zone (EAFZ) provide insights into the development of the new plate and escape system. Low-temperature thermochronology ages of rocks in and near the EAFZ are significantly younger than in other fault zones in the region, e.g., apatite (U-Th)/He: 11–1 Ma versus 27–13 Ma. Young apatite (U-Th)/He ages and thermal history modeling record thermal resetting along the EAFZ over the past ~5 m.y. and are interpreted to indicate thermal activity triggered by strike-slip faulting in the EAFZ as it formed as a through-going, lithosphere-scale structure. The mechanism for EAFZ formation may be discerned from S-wave velocity images from the Continental Dynamics–Central Anatolian Tectonics (CD-CAT) seismic experiment. These images indicate that thin but strong Arabian lithospheric mantle extends ~50–150 km north beneath Anatolian crust and would have been located near the present surficial location of the Bitlis-Zagros suture zone (co-located with the EAFZ in our study area) at ca. 5 Ma. Underthrusting of strong Arabian lithosphere facilitated localization of the EAFZ and thus was a fundamental control on the formation of the Anatolian plate and escape system.</span></p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/G51211.1","usgsCitation":"Whitney, D., Delph, J., Thomson, S.N., Beck, S.L., Brocard, G., Cosca, M., Darin, M.H., Kaymakci, N., Meijers, M.J., Okay, A., Rojay, B., Teyssier, C., and Umhoefer, P.J., 2023, Breaking plates: Creation of the East Anatolian fault, the Anatolian plate, and a tectonic escape system: Geology, v. 51, no. 7, p. 673-677, https://doi.org/10.1130/G51211.1.","productDescription":"5 p.","startPage":"673","endPage":"677","ipdsId":"IP-146320","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":467111,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/g51211.1","text":"Publisher 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Arizona","active":true,"usgs":false}],"preferred":false,"id":917091,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Beck, Susan L.","contributorId":206719,"corporation":false,"usgs":false,"family":"Beck","given":"Susan","email":"","middleInitial":"L.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":917083,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brocard, Gilles","contributorId":194115,"corporation":false,"usgs":false,"family":"Brocard","given":"Gilles","affiliations":[],"preferred":false,"id":917084,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cosca, M. 0000-0002-0600-7663","orcid":"https://orcid.org/0000-0002-0600-7663","contributorId":107417,"corporation":false,"usgs":true,"family":"Cosca","given":"M.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":917085,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Darin, Michael H.","contributorId":200333,"corporation":false,"usgs":false,"family":"Darin","given":"Michael","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":917086,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kaymakci, Nuretdin","contributorId":345608,"corporation":false,"usgs":false,"family":"Kaymakci","given":"Nuretdin","email":"","affiliations":[{"id":49823,"text":"Middle East Technical University","active":true,"usgs":false}],"preferred":false,"id":917087,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Meijers, Maud J.M.","contributorId":204225,"corporation":false,"usgs":false,"family":"Meijers","given":"Maud","email":"","middleInitial":"J.M.","affiliations":[{"id":36884,"text":"University of Frankfurt","active":true,"usgs":false}],"preferred":false,"id":917088,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Okay, Aral","contributorId":345609,"corporation":false,"usgs":false,"family":"Okay","given":"Aral","email":"","affiliations":[{"id":82655,"text":"Istanbul Technical University","active":true,"usgs":false}],"preferred":false,"id":917089,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Rojay, Bora","contributorId":248206,"corporation":false,"usgs":false,"family":"Rojay","given":"Bora","email":"","affiliations":[{"id":49823,"text":"Middle East Technical University","active":true,"usgs":false}],"preferred":false,"id":917090,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Teyssier, Christian","contributorId":193450,"corporation":false,"usgs":false,"family":"Teyssier","given":"Christian","email":"","affiliations":[],"preferred":false,"id":917082,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Umhoefer, Paul J.","contributorId":200335,"corporation":false,"usgs":false,"family":"Umhoefer","given":"Paul","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":917092,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70243632,"text":"70243632 - 2023 - Rapid modeling of compound flooding across broad coastal regions and the necessity to include rainfall driven processes: A case study of Hurricane Florence (2018)","interactions":[],"lastModifiedDate":"2023-05-16T13:39:15.608596","indexId":"70243632","displayToPublicDate":"2023-05-16T08:37:56","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Rapid modeling of compound flooding across broad coastal regions and the necessity to include rainfall driven processes: A case study of Hurricane Florence (2018)","docAbstract":"In this work, we show that large-scale compound flood models developed for North and South Carolina, USA, can skillfully simulate multiple drivers of coastal flooding as confirmed by measurements collected during Hurricane Florence (2018). Besides the accuracy of representing observed water levels, the importance of individual processes was investigated. We demonstrate that across the area of interest, it is necessary to include marine, pluvial, and fluvial forcing and the processes of wind stress and infiltration to correctly model water levels along the coast and further inland. This work highlights the need to include these processes in modeling coastal compound flooding.  By using high-resolution topo-bathymetry that is incorporated via subgrid derived tables in the Super-Fast INundation of CoastS (SFINCS) model, we improved the skill of the model at efficiently simulating flooding across large-scale domains with locally relevant results.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Coastal Sediments 2023: Proceedings of the Coastal Sediments 2023","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Coastal Sediments 2023","conferenceDate":"April 11-15, 2023","conferenceLocation":"New Orleans, Louisiana, United States","language":"English","publisher":"World Scientific","doi":"10.1142/9789811275135_0235","usgsCitation":"Leijnse, T., Nederhoff, C.M., Thomas, J.A., Parker, K.A., van Ormondt, M., Erikson, L.H., McCall, R.T., van Dongeren, A., O'Neill, A., and Barnard, P.L., 2023, Rapid modeling of compound flooding across broad coastal regions and the necessity to include rainfall driven processes: A case study 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,{"id":70246260,"text":"70246260 - 2023 - Rift basins and intraplate earthquakes: New high-resolution aeromagnetic data provide insights into buried structures of the Charleston, South Carolina seismic zone","interactions":[],"lastModifiedDate":"2023-06-28T13:26:15.350566","indexId":"70246260","displayToPublicDate":"2023-05-16T08:19:10","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1757,"text":"Geochemistry, Geophysics, Geosystems","active":true,"publicationSubtype":{"id":10}},"title":"Rift basins and intraplate earthquakes: New high-resolution aeromagnetic data provide insights into buried structures of the Charleston, South Carolina seismic zone","docAbstract":"<p><span>The delineation of faults that pose seismic risk in intraplate seismic zones and the mapping of features associated with failed rift basins can help our understanding of links between the two. We use new high-resolution aeromagnetic data, previous borehole sample information, and reprocessed seismic reflection profiles to image subsurface structures and evaluate recent fault activity within the Charleston seismic zone, the associated Mesozoic South Georgia rift basin, and surrounds. The new aeromagnetic data provide an unprecedented view of buried basement structures. NE- and NW-trending lineaments of various lengths throughout the survey area are interpreted as Paleozoic orogenic structures and Mesozoic dikes, respectively. Within the rift basin, 15- to 20-km long ESE-trending lineaments are associated with faults in pre-Cretaceous strata of the reflection data and are interpreted as Mesozoic rift structures. Various intersections and terminations of interpreted faults suggest rift-related reactivation of Paleozoic faults and corresponding inheritance for Mesozoic structures. The reflection data show that several Paleozoic and Mesozoic faults are associated with deformation in Cretaceous and younger sediments, suggesting reactivation in the more recent passive margin setting. Two of these faults, one NE-striking and one ESE-striking, are coincident with surficial landforms, suggesting Quaternary slip; the ESE-striking fault is also well-aligned with a plan-view offset in modern seismicity. A favorable orientation for reverse motion on ESE-striking Mesozoic faults, a possible sub-basin, and potentially weakened lithosphere are failed rift basin features that may influence intraplate seismicity within the Charleston seismic zone.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2022GC010803","usgsCitation":"Shah, A.K., Pratt, T.L., and Horton,, J., 2023, Rift basins and intraplate earthquakes: New high-resolution aeromagnetic data provide insights into buried structures of the Charleston, South Carolina seismic zone: Geochemistry, Geophysics, Geosystems, v. 24, e2022GC010803, 25 p., https://doi.org/10.1029/2022GC010803.","productDescription":"e2022GC010803, 25 p.","ipdsId":"IP-144502","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":443523,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2022gc010803","text":"Publisher Index Page"},{"id":418582,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Carolina","otherGeospatial":"Charleston seismic zone","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -81.62681453773914,\n              34.845813308656375\n            ],\n            [\n              -81.62681453773914,\n              32.343066119325954\n            ],\n            [\n              -79.1425481149703,\n              32.343066119325954\n            ],\n            [\n              -79.1425481149703,\n              34.845813308656375\n            ],\n            [\n              -81.62681453773914,\n              34.845813308656375\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"24","noUsgsAuthors":false,"publicationDate":"2023-05-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Shah, Anjana K. 0000-0002-3198-081X ashah@usgs.gov","orcid":"https://orcid.org/0000-0002-3198-081X","contributorId":2297,"corporation":false,"usgs":true,"family":"Shah","given":"Anjana","email":"ashah@usgs.gov","middleInitial":"K.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":876471,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pratt, Thomas L. 0000-0003-3131-3141 tpratt@usgs.gov","orcid":"https://orcid.org/0000-0003-3131-3141","contributorId":3279,"corporation":false,"usgs":true,"family":"Pratt","given":"Thomas","email":"tpratt@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":876472,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Horton,, J. Wright Jr. 0000-0001-6756-6365","orcid":"https://orcid.org/0000-0001-6756-6365","contributorId":219824,"corporation":false,"usgs":true,"family":"Horton,","given":"J. Wright","suffix":"Jr.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":876473,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70243639,"text":"70243639 - 2023 - Shoreface sediment availability offshore of a rapidly migrating, mixed-energy barrier island","interactions":[],"lastModifiedDate":"2023-05-16T13:09:03.396484","indexId":"70243639","displayToPublicDate":"2023-05-16T08:01:39","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Shoreface sediment availability offshore of a rapidly migrating, mixed-energy barrier island","docAbstract":"<p><span>Less is known about sediment exchanges between shorefaces and mixed-energy barrier islands (MEBI) than between shorefaces and wave-dominated barrier islands. We used seismic stratigraphy from Cedar Island, Virginia, USA to understand the interplay between shoreface deposits and MEBI morphodynamics. Interpretations reveal that the shelf and shoreface are extensively dissected by breach and inlet channels. Shoreface morphology varies due to underlying lithology and variable rates of barrier retreat. Underlying lithology adjacent to breach channels affected their migration rates, thereby exerting controls on alongshore extent of shoreface erosion. Shoreface deposits reworked by a migrating breach have lower slopes than those reworked by a more stationary one. Elevated rates of barrier retreat in southern Cedar Island may cause flattening of the shoreface because rapid barrier island migration required increased onshore sediment fluxes. In summary, barrier breach pervasiveness at MEBI may play an outsized role on shoreface ravinement and morphology. Ultimately, analyses of shoreface architecture and morphology provide insight on the relative influences of inlets, geology, and sea-level rise on barrier island sediment fluxes, which could help inform coastal planners, improve parameterization of shoreface sediment flux, and further future studies of morphologic change at MEBI.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Coastal Sediments 2023: Proceedings of the Coastal Sediments 2023","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Coastal Sediments 2023","conferenceDate":"April 11-15, 2023","conferenceLocation":"New Orleans, Louisiana, United States","language":"English","publisher":"World Scientific","doi":"10.1142/9789811275135_0264","usgsCitation":"Wei, E.A., and Miselis, J.L., 2023, Shoreface sediment availability offshore of a rapidly migrating, mixed-energy barrier island, <i>in</i> Coastal Sediments 2023: Proceedings of the Coastal Sediments 2023, New Orleans, Louisiana, United States, April 11-15, 2023, p. 2903-2916, https://doi.org/10.1142/9789811275135_0264.","productDescription":"14 p.","startPage":"2903","endPage":"2916","ipdsId":"IP-147603","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":417086,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","otherGeospatial":"Cedar Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -75.92249191155265,\n              36.59445486842472\n            ],\n            [\n              -75.92204804870713,\n              36.59552396039675\n            ],\n            [\n              -75.92139393504102,\n              36.59618041303932\n            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D.","contributorId":112486,"corporation":false,"usgs":false,"family":"Rosati","given":"Julie D.","affiliations":[{"id":7163,"text":"University of South Florida","active":true,"usgs":false}],"preferred":false,"id":872822,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Wei, Emily A. 0000-0003-4008-0933","orcid":"https://orcid.org/0000-0003-4008-0933","contributorId":223488,"corporation":false,"usgs":true,"family":"Wei","given":"Emily","email":"","middleInitial":"A.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":872690,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miselis, Jennifer L. 0000-0002-4925-3979 jmiselis@usgs.gov","orcid":"https://orcid.org/0000-0002-4925-3979","contributorId":3914,"corporation":false,"usgs":true,"family":"Miselis","given":"Jennifer","email":"jmiselis@usgs.gov","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":872691,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70243642,"text":"70243642 - 2023 - Incorporating wave climate complexity into modeling lower shoreface morphology and transport","interactions":[],"lastModifiedDate":"2023-05-16T12:58:28.507126","indexId":"70243642","displayToPublicDate":"2023-05-16T07:36:43","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Incorporating wave climate complexity into modeling lower shoreface morphology and transport","docAbstract":"<p><span>The lower shoreface, a transitional subaqueous region extending from the seaward limit of the surf zone to beyond the closure depth, serves as a sediment reservoir and pathway in sandy beach environments over annual to millennial time scales. Despite the important role this region plays in shoreline dynamics, the morphodynamics of the lower shoreface remain poorly quantified and understood. To better understand controls on shoreface morphology, here we combine energetics-based suspended sediment transport formulae (Ortiz &amp; Aston 2016) with empirical wave climate data to incorporate temporal complexity in modeled equilibrium profiles and sediment flux rates. The equilibrium shoreface shape computed using a full wave climate is steeper in shallower water and less steep in the deeper reaches compared to profiles computed using single wave characteristics. Using a full wave climate to simulate steady-state morphology will yield steeper profiles in shallow water. Suspended sediment transport rates also vary in direction and magnitude at different equilibrium profile depths and can potentially inform the location of morphodynamic boundaries in the shoreface. Our results reveal how infrequent storm waves affect shoreface slopes, with large events tending to drive sediment onshore in the deeper portions of the profile. This work explores a few ways to add complexity to simple energetics-based frameworks to reproduce empirical bathymetric data more accurately and provides insight toward refining coastal source-to-sink models.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Coastal Sediments 2023, proceedings of the 10th international conference","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Coastal Sediments 2023","conferenceDate":"April 11-15, 2023","conferenceLocation":"New Orleans, Louisiana, United States","language":"English","publisher":"World Scientific","doi":"10.1142/9789811275135_0260","usgsCitation":"Gillen, M., Ashton, A.D., Miselis, J.L., Ciarletta, D.J., Wei, E.A., and Sherwood, C.R., 2023, Incorporating wave climate complexity into modeling lower shoreface morphology and transport, <i>in</i> Coastal Sediments 2023, proceedings of the 10th international conference, New Orleans, Louisiana, United States, April 11-15, 2023, p. 2862-2874, https://doi.org/10.1142/9789811275135_0260.","productDescription":"13 p.","startPage":"2862","endPage":"2874","ipdsId":"IP-147824","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":417085,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2023-03-23","publicationStatus":"PW","contributors":{"editors":[{"text":"Wang, Ping","contributorId":78646,"corporation":false,"usgs":false,"family":"Wang","given":"Ping","email":"","affiliations":[{"id":7163,"text":"University of South Florida","active":true,"usgs":false}],"preferred":false,"id":872817,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Royer, Elizabeth","contributorId":305463,"corporation":false,"usgs":false,"family":"Royer","given":"Elizabeth","email":"","affiliations":[],"preferred":false,"id":872818,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Rosati, Julie D.","contributorId":112486,"corporation":false,"usgs":false,"family":"Rosati","given":"Julie D.","affiliations":[{"id":7163,"text":"University of South Florida","active":true,"usgs":false}],"preferred":false,"id":872819,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Gillen, Megan 0000-0002-2375-6519","orcid":"https://orcid.org/0000-0002-2375-6519","contributorId":267190,"corporation":false,"usgs":false,"family":"Gillen","given":"Megan","email":"","affiliations":[{"id":55436,"text":"MIT-WHOI Joint Program in Oceanography/Applied Ocean Science & Engineering, Cambridge and Woods Hole, MA, USA","active":true,"usgs":false}],"preferred":false,"id":872692,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ashton, Andrew D.","contributorId":300047,"corporation":false,"usgs":false,"family":"Ashton","given":"Andrew","email":"","middleInitial":"D.","affiliations":[{"id":16633,"text":"WHOI","active":true,"usgs":false}],"preferred":false,"id":872693,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miselis, Jennifer L. 0000-0002-4925-3979 jmiselis@usgs.gov","orcid":"https://orcid.org/0000-0002-4925-3979","contributorId":3914,"corporation":false,"usgs":true,"family":"Miselis","given":"Jennifer","email":"jmiselis@usgs.gov","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":872694,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ciarletta, Daniel J. 0000-0002-8555-2239","orcid":"https://orcid.org/0000-0002-8555-2239","contributorId":256700,"corporation":false,"usgs":true,"family":"Ciarletta","given":"Daniel","email":"","middleInitial":"J.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":872695,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wei, Emily A. 0000-0003-4008-0933","orcid":"https://orcid.org/0000-0003-4008-0933","contributorId":223488,"corporation":false,"usgs":true,"family":"Wei","given":"Emily","email":"","middleInitial":"A.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":872696,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sherwood, Christopher R. 0000-0001-6135-3553 csherwood@usgs.gov","orcid":"https://orcid.org/0000-0001-6135-3553","contributorId":2866,"corporation":false,"usgs":true,"family":"Sherwood","given":"Christopher","email":"csherwood@usgs.gov","middleInitial":"R.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":872697,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70244217,"text":"70244217 - 2023 - Guidance for parameterizing post-fire hydrologic models with in situ infiltration measurements","interactions":[],"lastModifiedDate":"2024-06-18T13:52:44.245324","indexId":"70244217","displayToPublicDate":"2023-05-16T07:20:50","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1425,"text":"Earth Surface Processes and Landforms","active":true,"publicationSubtype":{"id":10}},"title":"Guidance for parameterizing post-fire hydrologic models with in situ infiltration measurements","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><p>Wildfire can alter soil-hydraulic properties, often resulting in an increased prevalence of infiltration-excess overland flow and greater potential for debris-flow hazards. Mini disk tension infiltrometers (MDIs) can be used to estimate soil hydraulic properties, such as field-saturated hydraulic conductivity (<i>K</i><sub><i>fs</i></sub>) and wetting front potential (<i>H</i><sub><i>f</i></sub>), and their spatial variability following wildfire. However, the small (point-scale) footprint of MDI measurements makes it challenging to use these data to parameterize hydrologic models at the hillslope and watershed scales where hydrologic hazards, such as debris flows, initiate. Here, we designed numerical experiments to estimate spatially constant or watershed-scale effective hydrologic parameters (EHPs) that approximate the response of spatially variable hydrologic parameters with distributions derived from MDI measurements at five sites in the southwestern United States. We found that it is possible to define EHPs for both<span>&nbsp;</span><i>K</i><sub><i>fs</i></sub><span>&nbsp;</span>and<span>&nbsp;</span><i>H</i><sub><i>f</i></sub><span>&nbsp;</span>based on the MDI measurements that lead to reasonable approximations of run-off hydrographs at the outlets of small watersheds (&lt;1&nbsp;km<sup>2</sup>). We found that watershed EHPs are functions of rainfall characteristics, although they are most sensitive to rainfall intensity and relatively less sensitive to the temporal distribution of rainfall. EHPs are lower than the arithmetic mean of the MDI measurements and are better approximated by the median or geometric mean of the MDI measurements, particularly for storms with recurrence intervals of approximately 1&nbsp;year or less that commonly initiate post-fire debris flows. This work demonstrated that using the proposed upscaling method to estimate watershed-scale EHPs, as opposed to approximating EHPs based on the arithmetic mean of the MDI measurements, improved the ability of a hydrologic model to identify storms that are likely to produce debris flows. Results improved our ability to link point-scale MDI measurements and watershed-scale EHPs in post-fire settings and helped guide our ability to use MDI data to parameterize post-fire hydrologic models.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/esp.5633","usgsCitation":"Liu, T., McGuire, L.A., Youberg, A., Gorr, A.N., and Rengers, F.K., 2023, Guidance for parameterizing post-fire hydrologic models with in situ infiltration measurements: Earth Surface Processes and Landforms, v. 48, no. 12, p. 2368-2386, https://doi.org/10.1002/esp.5633.","productDescription":"19 p.","startPage":"2368","endPage":"2386","ipdsId":"IP-148977","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":467112,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://repository.library.noaa.gov/view/noaa/63519","text":"External Repository"},{"id":417906,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.er.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, New Mexico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -112.26119528509261,\n              35.55675438864914\n            ],\n            [\n              -112.26119528509261,\n              31.15593597909364\n            ],\n            [\n              -106.28719594621933,\n              31.15593597909364\n            ],\n            [\n              -106.28719594621933,\n              35.55675438864914\n            ],\n            [\n              -112.26119528509261,\n              35.55675438864914\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"48","issue":"12","noUsgsAuthors":false,"publicationDate":"2023-05-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Liu, T. 0000-0002-7394-9415","orcid":"https://orcid.org/0000-0002-7394-9415","contributorId":306158,"corporation":false,"usgs":false,"family":"Liu","given":"T.","email":"","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":874897,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McGuire, Luke A. 0000-0001-8178-7922 lmcguire@usgs.gov","orcid":"https://orcid.org/0000-0001-8178-7922","contributorId":203420,"corporation":false,"usgs":false,"family":"McGuire","given":"Luke","email":"lmcguire@usgs.gov","middleInitial":"A.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":874898,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Youberg, Ann 0000-0002-2005-3674","orcid":"https://orcid.org/0000-0002-2005-3674","contributorId":105919,"corporation":false,"usgs":false,"family":"Youberg","given":"Ann","affiliations":[],"preferred":false,"id":874899,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gorr, Alexander N.","contributorId":306159,"corporation":false,"usgs":false,"family":"Gorr","given":"Alexander","email":"","middleInitial":"N.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":874900,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rengers, Francis K. 0000-0002-1825-0943 frengers@usgs.gov","orcid":"https://orcid.org/0000-0002-1825-0943","contributorId":150422,"corporation":false,"usgs":true,"family":"Rengers","given":"Francis","email":"frengers@usgs.gov","middleInitial":"K.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":874901,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70247419,"text":"70247419 - 2023 - Review and development of best practices for toxicity tests with dreissenid mussels","interactions":[],"lastModifiedDate":"2023-08-04T12:21:45.922943","indexId":"70247419","displayToPublicDate":"2023-05-16T07:17:38","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Review and development of best practices for toxicity tests with dreissenid mussels","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><p>Since their introduction to North America in the 1980s, research to develop effective control tools for invasive mussels (<i>Dreissena polymorpha</i><span>&nbsp;</span>and<span>&nbsp;</span><i>D. rostriformis bugensis</i>) has been ongoing across various research institutions using a range of testing methods. Inconsistencies in experimental methods and reporting present challenges for comparing data, repeating experiments, and applying results. The Invasive Mussel Collaborative established the Toxicity Testing Work Group (TTWG) in 2019 to identify “best practices” and guide development of a standard framework for dreissenid mussel toxicity testing protocols. We reviewed the literature related to laboratory-based dreissenid mussel toxicity tests and determined the degree to which standard guidelines have been used and their applicability to dreissenid mussel testing. We extracted detailed methodology from 99 studies from the peer-reviewed and gray literature and conducted a separate analysis for studies using presettlement and postsettlement mussels. We identified specific components of methods and approaches that could be refined or standardized for dreissenid mussels. These components included species identification, collection methods, size/age class distinction, maintenance practices, testing criteria, sample size, response measures, reporting parameters, exposure methods, and mortality criteria. We consulted experts in the field of aquatic toxicology and dreissenid mussel biology on our proposed. The final recommendations contained in the present review are based on published standard guidelines, methods reported in the published and gray literature, and the expertise of TTWG members and an external panel. In addition, our review identifies research needs for dreissenid mussel testing including improved methods for early–life stage testing, comparative data on life stages and between dreissenid mussel species, inclusion of a reference toxicant, and additional testing of nontarget species (i.e., other aquatic organisms).<span>&nbsp;</span><i>Environ Toxicol Chem</i><span>&nbsp;</span>2023;42:1649–1666. © 2023 His Majesty the King in Right of Canada.<span>&nbsp;</span><i>Environmental Toxicology and Chemistry</i><span>&nbsp;</span>published by Wiley Periodicals LLC on behalf of SETAC. Reproduced with the permission of the Minister of Environment and Climate Change Canada. This article has been contributed to by U.S. Government employees and their work is in the public domain in the USA.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/etc.5648","usgsCitation":"Waller, D.L., Pucherelli, S., Barbour, M., Tank, S., Meulemans, M.J., Wise, J.K., Dahlberg, A., Aldridge, D.C., Claudi, R., Cope, W.G., Gillis, P.L., Kashian, D., Mayer, D.A., Stockton-Fiti, K.A., and Wong, W.H., 2023, Review and development of best practices for toxicity tests with dreissenid mussels: Environmental Toxicology and Chemistry, v. 42, no. 8, p. 1643-1666, https://doi.org/10.1002/etc.5648.","productDescription":"23 p.","startPage":"1643","endPage":"1666","ipdsId":"IP-149723","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":443530,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/etc.5648","text":"Publisher Index Page"},{"id":435333,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P90L6V90","text":"USGS data release","linkHelpText":"Toxicity Testing Review, Derived from published literature and reports"},{"id":419542,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"42","issue":"8","noUsgsAuthors":false,"publicationDate":"2023-05-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Waller, Diane L. 0000-0002-6104-810X dwaller@usgs.gov","orcid":"https://orcid.org/0000-0002-6104-810X","contributorId":5272,"corporation":false,"usgs":true,"family":"Waller","given":"Diane","email":"dwaller@usgs.gov","middleInitial":"L.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":879521,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pucherelli, Sherri","contributorId":317860,"corporation":false,"usgs":false,"family":"Pucherelli","given":"Sherri","email":"","affiliations":[{"id":7183,"text":"U.S. Bureau of Reclamation","active":true,"usgs":false}],"preferred":false,"id":879522,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barbour, Matthew T. 0000-0002-0095-9188 mbarbour@usgs.gov","orcid":"https://orcid.org/0000-0002-0095-9188","contributorId":195580,"corporation":false,"usgs":true,"family":"Barbour","given":"Matthew","email":"mbarbour@usgs.gov","middleInitial":"T.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":879523,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tank, Samantha","contributorId":251747,"corporation":false,"usgs":false,"family":"Tank","given":"Samantha","email":"","affiliations":[{"id":13509,"text":"Great Lakes Commission","active":true,"usgs":false}],"preferred":false,"id":879524,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Meulemans, Matthew 0000-0003-4584-8737","orcid":"https://orcid.org/0000-0003-4584-8737","contributorId":261521,"corporation":false,"usgs":true,"family":"Meulemans","given":"Matthew","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":879525,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wise, Jeremy K. 0000-0003-0184-6959 jwise@usgs.gov","orcid":"https://orcid.org/0000-0003-0184-6959","contributorId":5009,"corporation":false,"usgs":true,"family":"Wise","given":"Jeremy","email":"jwise@usgs.gov","middleInitial":"K.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":879526,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dahlberg, Angelique","contributorId":302235,"corporation":false,"usgs":false,"family":"Dahlberg","given":"Angelique","affiliations":[{"id":65450,"text":"Minnesota Aquatic Invasive Species Research Center, University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":879527,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Aldridge, David C.","contributorId":238534,"corporation":false,"usgs":false,"family":"Aldridge","given":"David","email":"","middleInitial":"C.","affiliations":[{"id":47725,"text":"Department of Zoology, University of Cambridge, Cambridge, UK","active":true,"usgs":false}],"preferred":false,"id":879528,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Claudi, Renata","contributorId":171420,"corporation":false,"usgs":false,"family":"Claudi","given":"Renata","email":"","affiliations":[{"id":26908,"text":"RNT Consulting Inc., Canada","active":true,"usgs":false}],"preferred":false,"id":879529,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Cope, W. Gregory","contributorId":207146,"corporation":false,"usgs":false,"family":"Cope","given":"W.","email":"","middleInitial":"Gregory","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":879530,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Gillis, Patricia L.","contributorId":289460,"corporation":false,"usgs":false,"family":"Gillis","given":"Patricia","email":"","middleInitial":"L.","affiliations":[{"id":36681,"text":"Environment and Climate Change Canada","active":true,"usgs":false}],"preferred":false,"id":879531,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Kashian, Donna","contributorId":190427,"corporation":false,"usgs":false,"family":"Kashian","given":"Donna","affiliations":[],"preferred":false,"id":879532,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Mayer, Denise A.","contributorId":140168,"corporation":false,"usgs":false,"family":"Mayer","given":"Denise","email":"","middleInitial":"A.","affiliations":[{"id":13400,"text":"New York State Museum, Cambridge Field Research Laboratory","active":true,"usgs":false}],"preferred":false,"id":879533,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Stockton-Fiti, Kelly A.","contributorId":200103,"corporation":false,"usgs":false,"family":"Stockton-Fiti","given":"Kelly","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":879534,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Wong, Wai Hing","contributorId":198235,"corporation":false,"usgs":false,"family":"Wong","given":"Wai","email":"","middleInitial":"Hing","affiliations":[],"preferred":false,"id":879535,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70243648,"text":"70243648 - 2023 - Assessing environmental oil spill based on fluorescence images of water samples and deep learning","interactions":[],"lastModifiedDate":"2023-11-15T14:28:58.902573","indexId":"70243648","displayToPublicDate":"2023-05-16T07:17:34","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5261,"text":"Journal of Environmental Informatics","onlineIssn":"16848799","printIssn":"17262135","active":true,"publicationSubtype":{"id":10}},"title":"Assessing environmental oil spill based on fluorescence images of water samples and deep learning","docAbstract":"Measuring oil concentration in the aquatic environment is essential for determining the potential exposure, risk, or injury for oil spill response and natural resource damage assessment. Conventional analytical chemistry methods require samples to be collected in the field, shipped, and processed in the laboratory, which is also rather time-consuming, laborious, and costly. For rapid field response immediately after a spill, there is a need to estimate oil concentration in near real time. To make the oil analysis more portable, fast, and cost effective, we developed a plug-and-play device and a deep learning model to assess oil levels in water using fluorescent images of water samples. We constructed a 3D-printed device to collect fluorescent images of solvent-extracted water samples using an iPhone. We prepared approximately 1,300 samples of oil at different concentrations to train and test the deep learning model. The model comprises a convolutional neural network and a novel module of histogram bottleneck block with an attention mechanism to exploit the spectral features found in low-contrast images. This model predicts the oil concentration in weight per volume based on fluorescence image. We devised a confidence interval estimator by combining gradient boosting and polymodal regressor to provide a confidence assessment of our results. Our model achieved sufficient accuracy to predict oil levels for most environmental applications. We plan to improve the device and iPhone application as a near-real-time tool for oil spill responders to measure oil in water.","language":"English","publisher":"International Society for Environmental Information Sciences","doi":"10.3808/jei.202300491","usgsCitation":"Liu, D.P., Liu, M., Sun, G., Zhou, Z., Wang, D., He, F., Li, J., Xie, J., Gettler, R., Brunson, E., Steevens, J.A., and Xu, D., 2023, Assessing environmental oil spill based on fluorescence images of water samples and deep learning: Journal of Environmental Informatics, v. 42, no. 1, p. 1-12, https://doi.org/10.3808/jei.202300491.","productDescription":"12 p.","startPage":"1","endPage":"12","ipdsId":"IP-130838","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":443532,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3808/jei.202300491","text":"Publisher Index Page"},{"id":417084,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"42","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Liu, D. P.","contributorId":305462,"corporation":false,"usgs":false,"family":"Liu","given":"D.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":872816,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liu, Ming","contributorId":305408,"corporation":false,"usgs":false,"family":"Liu","given":"Ming","email":"","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":872712,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sun, Guangyu","contributorId":305409,"corporation":false,"usgs":false,"family":"Sun","given":"Guangyu","email":"","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":872713,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zhou, Zhiqian","contributorId":305410,"corporation":false,"usgs":false,"family":"Zhou","given":"Zhiqian","email":"","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":872714,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wang, Duolin","contributorId":305411,"corporation":false,"usgs":false,"family":"Wang","given":"Duolin","email":"","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":872715,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"He, Fei","contributorId":305412,"corporation":false,"usgs":false,"family":"He","given":"Fei","email":"","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":872716,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Li, Jiaxin","contributorId":305413,"corporation":false,"usgs":false,"family":"Li","given":"Jiaxin","email":"","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":872717,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Xie, Jiacheng","contributorId":331598,"corporation":false,"usgs":false,"family":"Xie","given":"Jiacheng","email":"","affiliations":[],"preferred":false,"id":888166,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Gettler, Ryan","contributorId":305415,"corporation":false,"usgs":false,"family":"Gettler","given":"Ryan","email":"","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":872718,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Brunson, Eric 0000-0001-6624-0902","orcid":"https://orcid.org/0000-0001-6624-0902","contributorId":201761,"corporation":false,"usgs":true,"family":"Brunson","given":"Eric","email":"","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":872719,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Steevens, Jeffery A. 0000-0003-3946-1229","orcid":"https://orcid.org/0000-0003-3946-1229","contributorId":207511,"corporation":false,"usgs":true,"family":"Steevens","given":"Jeffery","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":872720,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Xu, Dong","contributorId":305418,"corporation":false,"usgs":false,"family":"Xu","given":"Dong","email":"","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":872721,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70243633,"text":"70243633 - 2023 - New capabilities in MT3D-USGS for simulating unsaturated-zone heat transport","interactions":[],"lastModifiedDate":"2023-05-16T12:13:26.00482","indexId":"70243633","displayToPublicDate":"2023-05-16T07:10:26","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"New capabilities in MT3D-USGS for simulating unsaturated-zone heat transport","docAbstract":"Changes in climate and land use will alter groundwater heat transport dynamics in the future.  These changes will in turn affect watershed processes (e.g., nutrient cycling) as well as watershed characteristics (e.g., distribution and persistence of cold-water habitat). Thus, groundwater flow and heat transport models at watershed scales that can characterize and quantify thermal impacts of surface temperature change on groundwater system temperatures are needed to forecast changes to groundwater-linked ecosystems in riparian zones, streams, and lakes.  Including unsaturated zone processes has previously been shown to be important for properly determining the timing and magnitude of groundwater recharge (Hunt et al. 2008).  Similarly, heat transport dynamics in the saturated-zone, as well as connected surface-water systems, can be appreciably influenced by unsaturated-zone processes; in this way the unsaturated zone forms an inextricable link between land surface where change occurs and the groundwater system that transmit that change.  This paper presents new capabilities for the existing MT3D-USGS transport simulator by adding functionality for simulating heat transport through the unsaturated zone.  New simulation capabilities are verified through comparison of simulation results with those of the variably-saturated heat transport simulator VS2DH under steady and transient conditions for both water and heat flow.  The new capabilities are assessed using a number of conceptualizations and include evaluations of convective and conductive heat flow.  These additional capabilities increase the utility for applied watershed-scale simulations, which in turn should facilitate more realistic characterizations of temperature change on thermally sensitive ecosystems, such as stream habitat.","language":"English","publisher":"Wiley","doi":"10.1111/gwat.13256","usgsCitation":"Morway, E.D., Feinstein, D., Hunt, R., and Healy, R.W., 2023, New capabilities in MT3D-USGS for simulating unsaturated-zone heat transport: Groundwater, v. 61, no. 3, p. 330-345, https://doi.org/10.1111/gwat.13256.","productDescription":"16 p.","startPage":"330","endPage":"345","ipdsId":"IP-134625","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":435334,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9PGFNY2","text":"USGS data release","linkHelpText":"MODFLOW-NWT, MT3D-USGS, and VS2DH models of 6 hypothetical 1-dimensional variably saturated systems to demonstrate the accuracy of new heat transport capabilities in MT3D-USGS"},{"id":417083,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"61","issue":"3","noUsgsAuthors":false,"publicationDate":"2022-09-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Morway, Eric D. 0000-0002-8553-6140 emorway@usgs.gov","orcid":"https://orcid.org/0000-0002-8553-6140","contributorId":4320,"corporation":false,"usgs":true,"family":"Morway","given":"Eric","email":"emorway@usgs.gov","middleInitial":"D.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":872680,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Feinstein, Daniel T. 0000-0003-1151-2530","orcid":"https://orcid.org/0000-0003-1151-2530","contributorId":203888,"corporation":false,"usgs":true,"family":"Feinstein","given":"Daniel T.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":872681,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hunt, Randall J. 0000-0001-6465-9304","orcid":"https://orcid.org/0000-0001-6465-9304","contributorId":208800,"corporation":false,"usgs":true,"family":"Hunt","given":"Randall J.","affiliations":[],"preferred":true,"id":872682,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Healy, Richard W. 0000-0002-0224-1858 rwhealy@usgs.gov","orcid":"https://orcid.org/0000-0002-0224-1858","contributorId":658,"corporation":false,"usgs":true,"family":"Healy","given":"Richard","email":"rwhealy@usgs.gov","middleInitial":"W.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":872683,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70257250,"text":"70257250 - 2023 - A multi-level modeling approach to guide management of female feral hogs in Great Smoky Mountains National Park","interactions":[],"lastModifiedDate":"2024-08-14T12:02:24.968018","indexId":"70257250","displayToPublicDate":"2023-05-16T06:56:01","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"A multi-level modeling approach to guide management of female feral hogs in Great Smoky Mountains National Park","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>We trapped, anesthetized, and fit 16 female feral swine (<i>Sus scrofa</i>) with Global Positioning System (GPS) collars in Great Smoky Mountains National Park (GRSM) to develop predictive summer and winter models for more effective population control efforts. Given the highly diverse habitat and topography in GRSM and the spatial extent of our dataset, we employed Step Selection Function (SSF) to evaluate resource selection at the 3<sup>rd</sup>-order level and Resource Selection Function (RSF) models at the 2<sup>nd</sup>-order level for both summer and winter seasons. The summer SSF and RSF models suggested relatively similar levels of selection, whereas the winter models differed by method. We created a straightforward consensus model to better visualize the agreement and constraints of each set of models. In summer, feral swine used lower slopes regardless of elevation, especially those closer to human-dominated spaces such as along paved and gravel roadways. In winter, feral swine maintained preference for lower slopes but preferred oak-dominated forest areas and selection for human development was less than in summer. Wildlife managers can use these models to better focus feral swine surveillance and management in GRSM. Managers can identify areas of high use by season and plan control activities that are both accessible and highly efficient. The combination and consensus framework presented here can be applied to other systems where species’ habitat selection may result in incongruous results across different levels of selection or seasons of interest.</p></div></div>","language":"English","publisher":"Springer","doi":"10.1007/s10530-023-03086-4","usgsCitation":"Buderman, F.E., Helm, P.J., Clark, J.D., Williamson, R.H., Yarkovich, J.G., and Mullinax, J.M., 2023, A multi-level modeling approach to guide management of female feral hogs in Great Smoky Mountains National Park: Biological Invasions, v. 25, p. 3065-3082, https://doi.org/10.1007/s10530-023-03086-4.","productDescription":"18 p.","startPage":"3065","endPage":"3082","ipdsId":"IP-145427","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":443537,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10530-023-03086-4","text":"Publisher Index Page"},{"id":432647,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Tennessee","otherGeospatial":"Great Smoky Mountains National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -84.15529114629751,\n              36.084555007287705\n            ],\n            [\n              -84.15529114629751,\n              35.33907301330092\n            ],\n            [\n              -82.56681547720542,\n              35.33907301330092\n            ],\n            [\n              -82.56681547720542,\n              36.084555007287705\n            ],\n            [\n              -84.15529114629751,\n              36.084555007287705\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"25","noUsgsAuthors":false,"publicationDate":"2023-05-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Buderman, Frances E.","contributorId":171634,"corporation":false,"usgs":false,"family":"Buderman","given":"Frances","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":909765,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Helm, Patrick J.","contributorId":342169,"corporation":false,"usgs":false,"family":"Helm","given":"Patrick","email":"","middleInitial":"J.","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":909766,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Clark, Joseph D. 0000-0002-8547-8112 jclark1@usgs.gov","orcid":"https://orcid.org/0000-0002-8547-8112","contributorId":2265,"corporation":false,"usgs":true,"family":"Clark","given":"Joseph","email":"jclark1@usgs.gov","middleInitial":"D.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":909767,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Williamson, Ryan H.","contributorId":342170,"corporation":false,"usgs":false,"family":"Williamson","given":"Ryan","email":"","middleInitial":"H.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":909768,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yarkovich, Joseph G.","contributorId":244820,"corporation":false,"usgs":false,"family":"Yarkovich","given":"Joseph","email":"","middleInitial":"G.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":909769,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mullinax, Jennifer M.","contributorId":221170,"corporation":false,"usgs":false,"family":"Mullinax","given":"Jennifer","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":909770,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70243462,"text":"sir20235008 - 2023 - Assessing potential effects of changes in water use in the middle Carson River Basin with a numerical groundwater-flow model, Eagle, Dayton, and Churchill Valleys, west-central Nevada","interactions":[],"lastModifiedDate":"2023-05-16T15:56:39.238633","indexId":"sir20235008","displayToPublicDate":"2023-05-15T13:56:57","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-5008","displayTitle":"Assessing Potential Effects of Changes in Water Use in the Middle Carson River Basin with a Numerical Groundwater-Flow Model, Eagle, Dayton, and Churchill Valleys, West-Central Nevada","title":"Assessing potential effects of changes in water use in the middle Carson River Basin with a numerical groundwater-flow model, Eagle, Dayton, and Churchill Valleys, west-central Nevada","docAbstract":"<p>During the economic boom of the mid part of the first decade of the 2000s in northwestern Nevada, municipal and housing growth increased use of the water resources of this semi-arid region. In 2008, when the economy slowed, new housing development stopped, and immediate pressure on groundwater resources abated. The U.S. Geological Survey, in cooperation with the Bureau of Reclamation, began a hydrogeologic study of the middle Carson River Basin. The first half of the study reviewed and synthesized previous geologic studies and contributed new datasets that served as a foundation for a three-dimensional, transient numerical model of groundwater and surface-water flow for the middle Carson River Basin extending from Eagle Valley to Churchill Valley. The model can be used to evaluate the effects of proposed alternative management strategies on groundwater sustainability, flows in the Carson River, and routine operation of Lahontan Reservoir and can also provide a basis for basin-wide investigations seeking to quantitatively evaluate the effects of climate change or yet-to-be-determined alternative management strategies.</p><p>The middle Carson model was constructed using the U.S. Geological Survey groundwater modeling software MODFLOW-NWT. MODFLOW is widely used groundwater modeling software and is well-suited for evaluating groundwater and surface-water interactions. The model uses 550-feet square grid cells that align with the previously published model for Carson Valley (adjacent upstream valley). Six grid layers with more finely resolved vertical resolution near the perimeter of the active model domain and near surface-water features, compared to other areas of the active model domain, hone the simulated groundwater and surface-water exchanges. In addition to simulating groundwater and surface-water interaction, crop and phreatophyte evapotranspiration, lake evaporation, mountain-front recharge, recharge from irrigation return flows, and groundwater pumping are also simulated. Surface-water flow entering the model domain, including the Carson River, tributary inflow from perennial streams in Eagle Valley, and trans-basin imports through the Truckee Canal (surface water diverted from the Truckee River) are specified according to U.S. Geological Survey streamgage records. Groundwater pumpage and surface-water diversions to 10 agricultural ditches and the managed release from Lahontan Reservoir, at the end of the middle Carson River Basin, are specified according to water-manager records.</p><p>The model simulation period extended from 2000 through 2010 (January 1, 2000, to December 31, 2010) using 574 weekly stress periods, with a single steady-state stress period at the beginning of the simulation that establishes initial conditions by approximating average conditions during the transient simulation period. All available observations for this period were used during the model calibration process, performed using automated parameter-estimation software. Calibration targets included observations of groundwater elevations in wells, streamflow, differences in observed streamflow between successive streamgages and actual evapotranspiration from irrigated lands. Among all 5,296 simulated and observed groundwater level pairs, the mean error was 1.42 feet; the mean absolute error, 7.71 feet; and the percent bias was −0.1 percent.</p><p>Three alternative management scenarios, run using the entire period of analysis (2000–10), were simulated to improve understanding of the potential effects of (1) loss of irrigated agricultural lands following conversion of water-rights to municipal groundwater rights; (2) reclaiming treated wastewater with induction wells; and (3) exercising permitted but under-utilized groundwater rights. Scenarios 2 and 3 were further explored using two and four subscenarios, respectively. Simulated scenario results ranged from having little effect on the groundwater system relative to a baseline simulation to having spatially extensive and large groundwater-level declines (10 to 20 feet) compared to the baseline simulation. None of the simulated scenarios increased delivery of river flows to Lahontan Reservoir. On the contrary, one of the subscenarios under alternative management scenario 3 led to surface-water delivery shortfalls of more than 10,000 acre-feet per year.</p><p>Future model improvements may include an extension of the model simulation period backward and forward in time and directly linking it to the upstream Carson Valley groundwater model. Furthermore, converting this MODFLOW model to a GSFLOW model, which fully integrates groundwater and surface-water flows including precipitation runoff and infiltration, may provide an improved tool for comprehensive management of water-resources in the middle Carson River Basin.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235008","collaboration":"Prepared in cooperation withv the Bureau of Reclamation","usgsCitation":"Morway, E.D., Buto, S.G., Niswonger, R.G., and Huntington, J.L., 2023, Assessing potential effects of changes in water use in the middle Carson River Basin with a numerical groundwater-flow model, Eagle, Dayton, and Churchill Valleys, west-central Nevada: U.S. Geological Survey Scientific Investigations Report 2023–5008, 112 p., https://doi.org/​10.3133/​sir20235008.","productDescription":"Report: xiii, 112 p.; 3 Data Releases","numberOfPages":"112","onlineOnly":"Y","ipdsId":"IP-034336","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":416912,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9D3XO1U","text":"Data for the report assessing potential effects of changes in water use in the middle Carson River Basin with a numerical groundwater-flow model, Eagle, Dayton, and Churchill Valleys, west-central Nevada","description":"Morway, E.D., Buto, S.G., and Medina, R.L., 2023, Data for the report assessing potential effects of changes in water use in the middle Carson River Basin with a numerical groundwater-flow model, Eagle, Dayton, and Churchill Valleys, west-central Nevada: U.S. Geological Survey data release, https://doi.org/​10.5066/​P9D3XO1U."},{"id":416913,"rank":8,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9N9FNQZ","text":"MODFLOW-NWT model used to simulate potential effects of changes in water use in the middle Carson River Basin, Eagle, Dayton, and Churchill Valleys, west-central, Nevada","description":"Morway, E.D., Niswonger, R.G., and Buto, S.G., 2023, MODFLOW-NWT model used to simulate potential effects of changes in water use in the middle Carson River Basin, Eagle, Dayton, and Churchill Valleys, west-central, Nevada: U.S. Geological Survey data release, https://doi.org/​10.5066/​P9N9FNQZ."},{"id":416907,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2023/5008/covrthb.jpg"},{"id":416908,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2023/5008/sir20235008.pdf","text":"Report","size":"18 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":416909,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2023/5008/sir20235008.xml"},{"id":416910,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2023/5008/images"},{"id":416911,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20235008/full"},{"id":416921,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9P5LJ3P","text":"Data for the report Geologic Framework and Hydrogeology of the middle Carson River basin, Eagle, Dayton, and Churchill Valleys, West-Central Nevada","description":"Maurer, D.K., and Medina, R.L., 2020, Data for the report Geologic Framework and Hydrogeology of the middle Carson River basin, Eagle, Dayton, and Churchill Valleys, West-Central Nevada: U.S. Geological Survey data release, https://doi.org/​10.5066/​P9P5LJ3P."}],"country":"United States","state":"Nevada","otherGeospatial":"Middle Carson River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -120,\n              40.5\n            ],\n            [\n              -120,\n              38\n            ],\n            [\n              -118,\n              38\n            ],\n            [\n              -118,\n              40.5\n            ],\n            [\n              -120,\n              40.5\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_nv@usgs.gov\" data-mce-href=\"mailto:dc_nv@usgs.gov\">Director</a>,<br><a href=\"https://www.usgs.gov/centers/nv-water\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/nv-water\">Nevada Water Science Center</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov\">U.S. Geological Survey</a><br>2730 N. Deer Run Road<br>Carson City, Nevada 89701</p>","tableOfContents":"<ul><li>Acknowledgements</li><li>Abstract</li><li>Introduction</li><li>Previous Investigations</li><li>Modeling Approach</li><li>Construction of the Groundwater Flow Model</li><li>Model Calibration</li><li>Assessment of Baseline Model Calibration</li><li>Simulated Canal Seepage</li><li>Assessment of Alternative Management Strategies</li><li>Model Limitations and Suggestions for Future Work</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2023-05-15","noUsgsAuthors":false,"publicationDate":"2023-05-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Morway, Eric D. 0000-0002-8553-6140 emorway@usgs.gov","orcid":"https://orcid.org/0000-0002-8553-6140","contributorId":4320,"corporation":false,"usgs":true,"family":"Morway","given":"Eric","email":"emorway@usgs.gov","middleInitial":"D.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":872212,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Buto, Susan G. 0000-0002-1107-9549 sbuto@usgs.gov","orcid":"https://orcid.org/0000-0002-1107-9549","contributorId":1057,"corporation":false,"usgs":true,"family":"Buto","given":"Susan","email":"sbuto@usgs.gov","middleInitial":"G.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":872213,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Niswonger, Richard G. 0000-0001-6397-2403 rniswon@usgs.gov","orcid":"https://orcid.org/0000-0001-6397-2403","contributorId":197892,"corporation":false,"usgs":true,"family":"Niswonger","given":"Richard","email":"rniswon@usgs.gov","middleInitial":"G.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":872214,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Huntington, Justin L.","contributorId":305173,"corporation":false,"usgs":true,"family":"Huntington","given":"Justin","email":"","middleInitial":"L.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":872215,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70257339,"text":"70257339 - 2023 - Ticks harbor and excrete chronic wasting disease prions","interactions":[],"lastModifiedDate":"2024-08-28T17:46:01.246119","indexId":"70257339","displayToPublicDate":"2023-05-15T10:30:57","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Ticks harbor and excrete chronic wasting disease prions","docAbstract":"<p><span>Chronic wasting disease (CWD) is a fatal neurodegenerative disease caused by infectious prions (PrP</span><sup>CWD</sup><span>) affecting cervids. Circulating PrP</span><sup>CWD</sup><span>&nbsp;in blood may pose a risk for indirect transmission by way of hematophagous ectoparasites acting as mechanical vectors. Cervids can carry high tick infestations and exhibit allogrooming, a common tick defense strategy between conspecifics. Ingestion of ticks during allogrooming may expose naïve animals to CWD, if ticks harbor PrP</span><sup>CWD</sup><span>. This study investigates whether ticks can harbor transmission-relevant quantities of PrP</span><sup>CWD</sup><span>&nbsp;by combining experimental tick feeding trials and evaluation of ticks from free-ranging white-tailed deer (</span><i>Odocoileus virginianus</i><span>). Using the real-time quaking-induced conversion (RT-QuIC) assay, we show that black-legged ticks (</span><i>Ixodes scapularis</i><span>) fed PrP</span><sup>CWD</sup><span>-spiked blood using artificial membranes ingest and excrete PrP</span><sup>CWD</sup><span>. Combining results of RT-QuIC and protein misfolding cyclic amplification, we detected seeding activity from 6 of 15 (40%) pooled tick samples collected from wild CWD-infected white-tailed deer. Seeding activities in ticks were analogous to 10–1000&nbsp;ng of CWD-positive retropharyngeal lymph node collected from deer upon which they were feeding. Estimates revealed a median infectious dose range of 0.3–42.4 per tick, suggesting that ticks can take up transmission-relevant amounts of PrP</span><sup>CWD</sup><span>&nbsp;and may pose a CWD risk to cervids.</span></p>","language":"English","publisher":"Springer Nature","doi":"10.1038/s41598-023-34308-3","collaboration":"Wisconsin DNR","usgsCitation":"Inzalaco, H., Bravo-Risi, F., Morales, R., Walsh, D.P., Storm, D.J., Pedersen, J.A., Turner, W.C., and Lichtenbergh, S.S., 2023, Ticks harbor and excrete chronic wasting disease prions: Scientific Reports, v. 13, 7838, 13 p., https://doi.org/10.1038/s41598-023-34308-3.","productDescription":"7838, 13 p.","ipdsId":"IP-145633","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":443540,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-023-34308-3","text":"Publisher Index 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 \"}}]}","volume":"13","noUsgsAuthors":false,"publicationDate":"2023-05-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Inzalaco, H. N.","contributorId":342351,"corporation":false,"usgs":false,"family":"Inzalaco","given":"H. N.","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":910009,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bravo-Risi, F.","contributorId":342354,"corporation":false,"usgs":false,"family":"Bravo-Risi","given":"F.","email":"","affiliations":[{"id":81863,"text":"The University of Texas Health Science Center at Houston","active":true,"usgs":false}],"preferred":false,"id":910010,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morales, R.","contributorId":342355,"corporation":false,"usgs":false,"family":"Morales","given":"R.","email":"","affiliations":[{"id":81863,"text":"The University of Texas Health Science Center at Houston","active":true,"usgs":false}],"preferred":false,"id":910011,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walsh, D. P.","contributorId":342356,"corporation":false,"usgs":false,"family":"Walsh","given":"D.","email":"","middleInitial":"P.","affiliations":[{"id":36523,"text":"University of Montana","active":true,"usgs":false}],"preferred":false,"id":910012,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Storm, D. J.","contributorId":342357,"corporation":false,"usgs":false,"family":"Storm","given":"D.","email":"","middleInitial":"J.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":910013,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pedersen, J. A.","contributorId":342358,"corporation":false,"usgs":false,"family":"Pedersen","given":"J.","email":"","middleInitial":"A.","affiliations":[{"id":27990,"text":"Deceased","active":true,"usgs":false}],"preferred":false,"id":910014,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Turner, Wendy Christine 0000-0002-0302-1646","orcid":"https://orcid.org/0000-0002-0302-1646","contributorId":287053,"corporation":false,"usgs":true,"family":"Turner","given":"Wendy","email":"","middleInitial":"Christine","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":910015,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lichtenbergh, S. S.","contributorId":342359,"corporation":false,"usgs":false,"family":"Lichtenbergh","given":"S.","email":"","middleInitial":"S.","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":910016,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70243592,"text":"70243592 - 2023 - Flushing time variability in a short, low-inflow estuary","interactions":[],"lastModifiedDate":"2023-05-15T15:17:07.139375","indexId":"70243592","displayToPublicDate":"2023-05-15T09:56:27","publicationYear":"2023","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":"Flushing time variability in a short, low-inflow estuary","docAbstract":"<p><span>Flushing time, the time scale for exchange and mixing between embayed and oceanic waters in an&nbsp;estuary, plays an integral role in determining water quality and&nbsp;aquatic ecosystem&nbsp;health. Here, we investigated the spatiotemporal variability of flushing times throughout Morro Bay, a short, low-inflow estuary (LIE) on the California coast, using a calibrated and validated hydrodynamic model (Delft3D). Morro Bay has historically supported an extensive&nbsp;eelgrass&nbsp;(</span><span><i>Zostera</i><i>&nbsp;marina</i></span><span>) habitat, which declined substantially from 139 to 5.4&nbsp;ha during 2007–2017. Eelgrass decline motivated the current research into the role of changing&nbsp;bed roughness&nbsp;and oceanic drivers (i.e., tide and sea-level rise) on estuarine hydrodynamics and flushing times. We found that tidal variability exerts the strongest control on flushing times compared to other effects, i.e., bed roughness or sea-level rise. Additionally, we found that increasing sea level and decreasing bed roughness (associated with declining&nbsp;seagrass&nbsp;coverage) yielded higher rates of mixing (lower flushing times). We detected a strong correspondence between areas having shorter flushing times (e.g., near the estuary mouth) and areas occupied by resilient eelgrass populations in Morro Bay. Our findings further indicated that flushing times in short LIEs are particularly sensitive to several factors (e.g., bed roughness, sea level) that are susceptible to anthropogenic disturbance and future climate change.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecss.2023.108277","usgsCitation":"Taherkhani, M., Vitousek, S., Walter, R.K., O’Leary, J., and Khodadoust, A.P., 2023, Flushing time variability in a short, low-inflow estuary: Estuarine, Coastal and Shelf Science, v. 284, 108277, 16 p., https://doi.org/10.1016/j.ecss.2023.108277.","productDescription":"108277, 16 p.","ipdsId":"IP-149301","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":443542,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecss.2023.108277","text":"Publisher Index Page"},{"id":417031,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Morro Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -120.86550507818211,\n              35.37559917233456\n            ],\n            [\n              -120.8609393073724,\n              35.352727225376455\n            ],\n            [\n              -120.86354831926357,\n              35.33197729831399\n            ],\n            [\n              -120.87072310196481,\n              35.306963896126035\n            ],\n            [\n              -120.834849188459,\n              35.3218664291451\n            ],\n            [\n              -120.81267258738302,\n              35.32931666587521\n            ],\n            [\n              -120.82441314089395,\n              35.36389805553908\n            ],\n            [\n              -120.86550507818211,\n              35.37559917233456\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"284","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Taherkhani, Mohsen","contributorId":223951,"corporation":false,"usgs":false,"family":"Taherkhani","given":"Mohsen","affiliations":[{"id":18137,"text":"University of Illinois at Chicago","active":true,"usgs":false}],"preferred":false,"id":872546,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vitousek, Sean 0000-0002-3369-4673 svitousek@usgs.gov","orcid":"https://orcid.org/0000-0002-3369-4673","contributorId":149065,"corporation":false,"usgs":true,"family":"Vitousek","given":"Sean","email":"svitousek@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":872547,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walter, Ryan K.","contributorId":241045,"corporation":false,"usgs":false,"family":"Walter","given":"Ryan","email":"","middleInitial":"K.","affiliations":[{"id":16725,"text":"California Polytechnic State University, San Luis Obispo","active":true,"usgs":false}],"preferred":false,"id":872548,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"O’Leary, Jennifer","contributorId":305371,"corporation":false,"usgs":false,"family":"O’Leary","given":"Jennifer","email":"","affiliations":[{"id":13272,"text":"Wildlife Conservation Society","active":true,"usgs":false}],"preferred":false,"id":872549,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Khodadoust, Amid P.","contributorId":305372,"corporation":false,"usgs":false,"family":"Khodadoust","given":"Amid","email":"","middleInitial":"P.","affiliations":[{"id":18137,"text":"University of Illinois at Chicago","active":true,"usgs":false}],"preferred":false,"id":872550,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70243598,"text":"70243598 - 2023 - Deep root activity overprints weathering of petrogenic organic carbon in shale","interactions":[],"lastModifiedDate":"2023-05-15T14:49:25.830907","indexId":"70243598","displayToPublicDate":"2023-05-15T09:28:06","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"Deep root activity overprints weathering of petrogenic organic carbon in shale","docAbstract":"<p><span>The oxidation of&nbsp;organic carbon&nbsp;in sedimentary bedrock (petrogenic OC, OC</span><i><sub><span class=\"math\"><span id=\"MathJax-Element-1-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msub is=&quot;true&quot;><mrow is=&quot;true&quot; /><mrow is=&quot;true&quot;><mi is=&quot;true&quot;>p</mi><mi is=&quot;true&quot;>e</mi><mi is=&quot;true&quot;>t</mi><mi is=&quot;true&quot;>r</mi><mi is=&quot;true&quot;>o</mi></mrow></msub></math>\"><span class=\"MJX_Assistive_MathML\">petro</span></span></span></sub></i><span>) is increasingly recognized as a potential source of CO</span><sub>2</sub><span>&nbsp;to the atmosphere. Recent studies provide evidence for the mobilization and oxidation of OC</span><i><sub><span class=\"math\"><span id=\"MathJax-Element-2-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msub is=&quot;true&quot;><mrow is=&quot;true&quot; /><mrow is=&quot;true&quot;><mi is=&quot;true&quot;>p</mi><mi is=&quot;true&quot;>e</mi><mi is=&quot;true&quot;>t</mi><mi is=&quot;true&quot;>r</mi><mi is=&quot;true&quot;>o</mi></mrow></msub></math>\"><span class=\"MJX_Assistive_MathML\">petro</span></span></span></sub></i><span>&nbsp;in sedimentary bedrock during rock weathering. However, the mechanisms and rates remain uncertain, particularly where overlying soils and vegetation drive contemporaneous oxidation of recently fixed organic carbon. Here, we quantify OC</span><sub><i><span class=\"math\"><span id=\"MathJax-Element-3-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msub is=&quot;true&quot;><mrow is=&quot;true&quot; /><mrow is=&quot;true&quot;><mi is=&quot;true&quot;>p</mi><mi is=&quot;true&quot;>e</mi><mi is=&quot;true&quot;>t</mi><mi is=&quot;true&quot;>r</mi><mi is=&quot;true&quot;>o</mi></mrow></msub></math>\"><span class=\"MJX_Assistive_MathML\">petro</span></span></span></i></sub><span>&nbsp;weathering across a 16 m shale depth profile in a steep, rapidly eroding forested&nbsp;hillslope&nbsp;in the Northern California Coast Ranges. We report solid and gas phase radiocarbon and&nbsp;stable isotope&nbsp;analyses of samples extracted from specialized in-situ samplers, and a supporting laboratory incubation experiment of the shale regolith. OC</span><sub><i><span class=\"math\"><span id=\"MathJax-Element-4-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msub is=&quot;true&quot;><mrow is=&quot;true&quot; /><mrow is=&quot;true&quot;><mi is=&quot;true&quot;>p</mi><mi is=&quot;true&quot;>e</mi><mi is=&quot;true&quot;>t</mi><mi is=&quot;true&quot;>r</mi><mi is=&quot;true&quot;>o</mi></mrow></msub></math>\"><span class=\"MJX_Assistive_MathML\">petro</span></span></span></i></sub><span>&nbsp;is removed from the weathered bedrock at a rate of approximately 0.12 gC/m</span><sup>3</sup><span>yr, which is orders of magnitude lower than the rate of OC</span><i><sub><span class=\"math\"><span id=\"MathJax-Element-5-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msub is=&quot;true&quot;><mrow is=&quot;true&quot; /><mrow is=&quot;true&quot;><mi is=&quot;true&quot;>p</mi><mi is=&quot;true&quot;>e</mi><mi is=&quot;true&quot;>t</mi><mi is=&quot;true&quot;>r</mi><mi is=&quot;true&quot;>o</mi></mrow></msub></math>\"><span class=\"MJX_Assistive_MathML\">petro</span></span></span></sub></i><span>&nbsp;oxidation we achieved in the laboratory with crushed samples (557.1 gC/m</span><sup>3</sup><span>/yr). This disparity occurs despite high O</span><i><sub><span class=\"math\"><span id=\"MathJax-Element-6-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msub is=&quot;true&quot;><mrow is=&quot;true&quot; /><mrow is=&quot;true&quot;><mn is=&quot;true&quot;>2</mn><mo stretchy=&quot;false&quot; is=&quot;true&quot;>(</mo><mi is=&quot;true&quot;>g</mi><mo stretchy=&quot;false&quot; is=&quot;true&quot;>)</mo></mrow></msub></math>\"><span class=\"MJX_Assistive_MathML\">2(g)</span></span></span></sub></i><span>&nbsp;content across the depth profile, indicating that physical accessibility of OC</span><sub><i><span class=\"math\"><span id=\"MathJax-Element-7-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msub is=&quot;true&quot;><mrow is=&quot;true&quot; /><mrow is=&quot;true&quot;><mi is=&quot;true&quot;>p</mi><mi is=&quot;true&quot;>e</mi><mi is=&quot;true&quot;>t</mi><mi is=&quot;true&quot;>r</mi><mi is=&quot;true&quot;>o</mi></mrow></msub></math>\"><span class=\"MJX_Assistive_MathML\">petro</span></span></span></i></sub><span>&nbsp;can regulate oxidative weathering. There is no direct radiocarbon evidence of OC</span><i><sub><span class=\"math\"><span id=\"MathJax-Element-8-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msub is=&quot;true&quot;><mrow is=&quot;true&quot; /><mrow is=&quot;true&quot;><mi is=&quot;true&quot;>p</mi><mi is=&quot;true&quot;>e</mi><mi is=&quot;true&quot;>t</mi><mi is=&quot;true&quot;>r</mi><mi is=&quot;true&quot;>o</mi></mrow></msub></math>\"><span class=\"MJX_Assistive_MathML\">petro</span></span></span></sub></i><span>&nbsp;oxidation in CO</span><i><sub><span class=\"math\"><span id=\"MathJax-Element-9-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msub is=&quot;true&quot;><mrow is=&quot;true&quot; /><mrow is=&quot;true&quot;><mn is=&quot;true&quot;>2</mn><mo stretchy=&quot;false&quot; is=&quot;true&quot;>(</mo><mi is=&quot;true&quot;>g</mi><mo stretchy=&quot;false&quot; is=&quot;true&quot;>)</mo></mrow></msub></math>\"><span class=\"MJX_Assistive_MathML\">2(g)</span></span></span></sub></i><span>&nbsp;across the upper 13 m of the weathering profile during both wet and dry seasons. Instead, vadose zone CO</span><i><sub><span class=\"math\"><span id=\"MathJax-Element-10-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msub is=&quot;true&quot;><mrow is=&quot;true&quot; /><mrow is=&quot;true&quot;><mn is=&quot;true&quot;>2</mn><mo stretchy=&quot;false&quot; is=&quot;true&quot;>(</mo><mi is=&quot;true&quot;>g</mi><mo stretchy=&quot;false&quot; is=&quot;true&quot;>)</mo></mrow></msub></math>\"><span class=\"MJX_Assistive_MathML\">2(g)</span></span></span></sub></i><span>&nbsp;production at the site is dominated by respiration of recently fixed carbon associated with deep rooting. OC</span><i><sub><span class=\"math\"><span id=\"MathJax-Element-11-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msub is=&quot;true&quot;><mrow is=&quot;true&quot; /><mrow is=&quot;true&quot;><mi is=&quot;true&quot;>p</mi><mi is=&quot;true&quot;>e</mi><mi is=&quot;true&quot;>t</mi><mi is=&quot;true&quot;>r</mi><mi is=&quot;true&quot;>o</mi></mrow></msub></math>\"><span class=\"MJX_Assistive_MathML\">petro</span></span></span></sub></i><span>&nbsp;is clearly mobilized across the vadose zone during weathering in this rapidly eroding, oxygen-rich, biologically dynamic hillslope, but at rates far below what can be measured given the contribution of root-derived CO</span><i><sub><span class=\"math\"><span id=\"MathJax-Element-12-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msub is=&quot;true&quot;><mrow is=&quot;true&quot; /><mrow is=&quot;true&quot;><mn is=&quot;true&quot;>2</mn><mo stretchy=&quot;false&quot; is=&quot;true&quot;>(</mo><mi is=&quot;true&quot;>g</mi><mo stretchy=&quot;false&quot; is=&quot;true&quot;>)</mo></mrow></msub></math>\"><span class=\"MJX_Assistive_MathML\">2(g)</span></span></span></sub></i><span>.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2023.118048","usgsCitation":"Tune, A.K., Druhan, J.L., Lawrence, C., and Rempe, D.M., 2023, Deep root activity overprints weathering of petrogenic organic carbon in shale: Earth and Planetary Science Letters, v. 607, 118048, 12 p., https://doi.org/10.1016/j.epsl.2023.118048.","productDescription":"118048, 12 p.","ipdsId":"IP-145183","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":443546,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.osti.gov/biblio/2421021","text":"Publisher Index Page"},{"id":417029,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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,{"id":70263094,"text":"70263094 - 2023 - Stream restoration milestones: Monitoring scales determine successes and failures","interactions":[],"lastModifiedDate":"2025-01-29T15:26:16.16923","indexId":"70263094","displayToPublicDate":"2023-05-15T09:22:07","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3669,"text":"Urban Ecosystems","active":true,"publicationSubtype":{"id":10}},"title":"Stream restoration milestones: Monitoring scales determine successes and failures","docAbstract":"<p><span>Urban stream restoration is growing globally, but there is much to learn from successes, failures, and evaluating tradeoffs in restoration practices. Significant time and resources have been invested towards restoring the structure and function of urban ecosystems and understanding and slowing the drivers of degradation. However, the rapid pace of urbanization and its effects on urban waters present an ever-growing challenge to environmental managers and restoration practitioners when identifying and prioritizing effective strategies for restoration and monitoring outcomes. Here, we synthesize major findings and papers originating from the 5th Symposium on Urbanization and Stream Ecology (SUSE5) and propose a new concept for monitoring restoration based on lessons learned. Efforts from SUSE5 showed that urban disturbances and restoration activities have strong localized impacts that can be challenging to detect and disentangle across broader watershed scales and longitudinal flowpaths. Most urban stream restoration projects are monitored at only one or a few locations that do not capture significant variability across stream reaches and longer flowpaths. Based on knowledge from SUSE5, we present a new concept called ‘restoration milestones.’ The restoration milestones concept proposes that the scale of stream monitoring over space and time can influence whether a stream restoration project is considered a success or failure. Therefore, answers to questions regarding restoration effectiveness and durability can be affected by spatial and temporal monitoring scales. Setting realistic restoration milestones involves establishing monitoring strategies that account for spatial and temporal variability. Tracking restoration performance through time across stream reaches along longitudinal flowpaths could aid in more accurately assessing project performance. We explore applications for evaluating restoration milestones along longitudinal stream flowpaths including: (1) identifying target areas of improvement along drainage networks, (2) accurately accounting for tradeoffs in habitat, protection of infrastructure, and water quality along flowpaths, and (3) detecting how far downstream the effects of stream restoration and stormwater management can be propagated. Monitoring across different spatial and temporal scales is an overlooked but critical factor in determining restoration success. Additionally, the scale of the restoration project itself can determine the type and magnitude of improvements. Expectations for what a restoration project can accomplish in terms of water quality improvements should be calibrated to the project’s spatial scale and evolution over time. Longitudinal studies of stream restoration help identify successes and failures along flowpaths.</span></p>","language":"English","publisher":"Springer Nature","doi":"10.1007/s11252-023-01370-8","usgsCitation":"Kaushal, S., Fork, M.L., Hawley, R.J., Hopkins, K.G., Rios-Touma, B., and Roy, A.H., 2023, Stream restoration milestones: Monitoring scales determine successes and failures: Urban Ecosystems, v. 26, p. 1131-1142, https://doi.org/10.1007/s11252-023-01370-8.","productDescription":"12 p.","startPage":"1131","endPage":"1142","ipdsId":"IP-144413","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":481451,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","noUsgsAuthors":false,"publicationDate":"2023-05-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Kaushal, Sujay S.","contributorId":210125,"corporation":false,"usgs":false,"family":"Kaushal","given":"Sujay S.","affiliations":[{"id":38074,"text":"Univ. of Maryland","active":true,"usgs":false}],"preferred":false,"id":925531,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fork, Megan L.","contributorId":139659,"corporation":false,"usgs":false,"family":"Fork","given":"Megan","email":"","middleInitial":"L.","affiliations":[{"id":12868,"text":"Nicholas School of the Environment, Duke University, Durham, NC, USA","active":true,"usgs":false}],"preferred":false,"id":925532,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hawley, Robert J.","contributorId":167574,"corporation":false,"usgs":false,"family":"Hawley","given":"Robert","email":"","middleInitial":"J.","affiliations":[{"id":24758,"text":"Sustainable Streams, LLC, Louisville, KY","active":true,"usgs":false}],"preferred":false,"id":925533,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hopkins, Kristina G. 0000-0003-1699-9384 khopkins@usgs.gov","orcid":"https://orcid.org/0000-0003-1699-9384","contributorId":195604,"corporation":false,"usgs":true,"family":"Hopkins","given":"Kristina","email":"khopkins@usgs.gov","middleInitial":"G.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":925534,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rios-Touma, Blanca","contributorId":348572,"corporation":false,"usgs":false,"family":"Rios-Touma","given":"Blanca","affiliations":[],"preferred":false,"id":925535,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Roy, Allison H. 0000-0002-8080-2729 aroy@usgs.gov","orcid":"https://orcid.org/0000-0002-8080-2729","contributorId":4240,"corporation":false,"usgs":true,"family":"Roy","given":"Allison","email":"aroy@usgs.gov","middleInitial":"H.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":925505,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
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