{"pageNumber":"103","pageRowStart":"2550","pageSize":"25","recordCount":68760,"records":[{"id":70244024,"text":"70244024 - 2023 - Integrated water resources trend assessments: State of the science, challenges, and opportunities for advancement","interactions":[],"lastModifiedDate":"2023-12-20T17:45:16.768153","indexId":"70244024","displayToPublicDate":"2023-05-29T08:15:37","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10956,"text":"Journal of the American Water Resource Association (JAWRA)","active":true,"publicationSubtype":{"id":10}},"title":"Integrated water resources trend assessments: State of the science, challenges, and opportunities for advancement","docAbstract":"<p><span>Water is vital to human life and healthy ecosystems. Here we outline the current state of national-scale water resources trend assessments, identify key gaps, and suggest advancements to better address critical issues related to changes in water resources that may threaten human development or the environment. Questions like, “Do we have less suitable drinking water now than we had 20 years ago?” or “Are flood events more common now than they were in the past?” prompted improvements in data, trend estimation methods, and modeling frameworks to track changes in, and better understand how land use and climate influence four water resources domains: surface and groundwater quantity and quality. However, continued advancement in trend assessments to better address issues related to changes in water availability is needed. Areas of need include more timely and efficient delivery of water resources trend results and improved capacity to estimate trends at unmonitored locations. Additional integration pieces include increased understanding of groundwater–surface water interactions, incorporation of both quantity and quality trends into water availability estimates, and the refinement of trend metrics to account for the competing needs of society and ecological integrity. Coupled with improved driver attribution studies, these components will better inform current and future water resources management.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/1752-1688.13137","usgsCitation":"Stackpoole, S.M., Oelsner, G.P., Stets, E.G., Hecht, J.S., Johnson, Z., Tesoriero, A.J., Walvoord, M.A., Chanat, J.G., Dunne, K., Goodling, P.J., Lindsey, B.D., Meador, M.R., and Spaulding, S., 2023, Integrated water resources trend assessments: State of the science, challenges, and opportunities for advancement: Journal of the American Water Resource Association (JAWRA), v. 59, no. 6, p. 1181-1197, https://doi.org/10.1111/1752-1688.13137.","productDescription":"17 p.","startPage":"1181","endPage":"1197","ipdsId":"IP-145969","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":443310,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1752-1688.13137","text":"Publisher Index Page"},{"id":417572,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"59","issue":"6","noUsgsAuthors":false,"publicationDate":"2023-05-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Stackpoole, Sarah M. 0000-0002-5876-4922 sstackpoole@usgs.gov","orcid":"https://orcid.org/0000-0002-5876-4922","contributorId":3784,"corporation":false,"usgs":true,"family":"Stackpoole","given":"Sarah","email":"sstackpoole@usgs.gov","middleInitial":"M.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":874180,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Oelsner, Gretchen P. 0000-0001-9329-7357 goelsner@usgs.gov","orcid":"https://orcid.org/0000-0001-9329-7357","contributorId":4440,"corporation":false,"usgs":true,"family":"Oelsner","given":"Gretchen","email":"goelsner@usgs.gov","middleInitial":"P.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":874181,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stets, Edward G. 0000-0001-5375-0196 estets@usgs.gov","orcid":"https://orcid.org/0000-0001-5375-0196","contributorId":194490,"corporation":false,"usgs":true,"family":"Stets","given":"Edward","email":"estets@usgs.gov","middleInitial":"G.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":874182,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hecht, Jory Seth 0000-0002-9485-3332","orcid":"https://orcid.org/0000-0002-9485-3332","contributorId":257771,"corporation":false,"usgs":true,"family":"Hecht","given":"Jory","email":"","middleInitial":"Seth","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":874183,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, Zachary 0000-0002-0149-5223 zjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-0149-5223","contributorId":190399,"corporation":false,"usgs":true,"family":"Johnson","given":"Zachary","email":"zjohnson@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":874184,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tesoriero, Anthony J. 0000-0003-4674-7364 tesorier@usgs.gov","orcid":"https://orcid.org/0000-0003-4674-7364","contributorId":2693,"corporation":false,"usgs":true,"family":"Tesoriero","given":"Anthony","email":"tesorier@usgs.gov","middleInitial":"J.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":874185,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Walvoord, Michelle A. 0000-0003-4269-8366","orcid":"https://orcid.org/0000-0003-4269-8366","contributorId":211843,"corporation":false,"usgs":true,"family":"Walvoord","given":"Michelle","email":"","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":874186,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Chanat, Jeffrey G. 0000-0002-3629-7307 jchanat@usgs.gov","orcid":"https://orcid.org/0000-0002-3629-7307","contributorId":5062,"corporation":false,"usgs":true,"family":"Chanat","given":"Jeffrey","email":"jchanat@usgs.gov","middleInitial":"G.","affiliations":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":874187,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Dunne, Krista A. 0000-0002-1220-6140","orcid":"https://orcid.org/0000-0002-1220-6140","contributorId":305961,"corporation":false,"usgs":false,"family":"Dunne","given":"Krista A.","affiliations":[{"id":12545,"text":"USGS retired","active":true,"usgs":false}],"preferred":false,"id":874188,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Goodling, Phillip J. 0000-0001-5715-8579","orcid":"https://orcid.org/0000-0001-5715-8579","contributorId":239738,"corporation":false,"usgs":true,"family":"Goodling","given":"Phillip","email":"","middleInitial":"J.","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science Center","active":true,"usgs":true}],"preferred":true,"id":874189,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Lindsey, Bruce D. 0000-0002-7180-4319 blindsey@usgs.gov","orcid":"https://orcid.org/0000-0002-7180-4319","contributorId":175346,"corporation":false,"usgs":true,"family":"Lindsey","given":"Bruce","email":"blindsey@usgs.gov","middleInitial":"D.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":874190,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Meador, Michael R. 0000-0001-5956-3340 mrmeador@usgs.gov","orcid":"https://orcid.org/0000-0001-5956-3340","contributorId":219878,"corporation":false,"usgs":true,"family":"Meador","given":"Michael","email":"mrmeador@usgs.gov","middleInitial":"R.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":874191,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Spaulding, Sarah A. 0000-0002-9787-7743","orcid":"https://orcid.org/0000-0002-9787-7743","contributorId":223186,"corporation":false,"usgs":true,"family":"Spaulding","given":"Sarah","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":874192,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70245127,"text":"70245127 - 2023 - Linking ecosystem processes to consumer growth rates: Gross primary productivity as a driver of freshwater fish somatic growth in a resource-limited river","interactions":[],"lastModifiedDate":"2023-09-06T16:13:42.515711","indexId":"70245127","displayToPublicDate":"2023-05-29T06:52:31","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Linking ecosystem processes to consumer growth rates: Gross primary productivity as a driver of freshwater fish somatic growth in a resource-limited river","docAbstract":"<div id=\"abstracts\" data-extent=\"frontmatter\"><div class=\"core-container\"><div>Individual growth can exert strong controls on population dynamics and be constrained by resource acquisition rates. Difficulty in accurately quantifying resource availability over large spatial extents and at high temporal frequency often limits attempts to understand the extent that resources limit individual growth. Daily estimates of stream metabolism, including gross primary productivity (GPP), are increasingly available but have not, to our knowledge, been linked to fish growth. Here we examine how GPP, water temperature, high flow and turbidity are linked to spatiotemporal variation in growth of flannelmouth sucker (Catostomus latipinnis). We fit state space growth models to six years of mark-recapture data collected in four river reaches spanning 300 river kilometers. Consistent with past research in this system, we find that water temperature is the dominant driver of spatiotemporal variation in growth. However, we also find that GPP is strongly linked to fish growth. Fish growth is likely to be linked to stream metabolism in other systems where overall productivity, not the quality of primary producers, limits the food webs that support fish growth.</div></div></div>","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2022-0229","usgsCitation":"Hansen, L.E., Yackulic, C., Dickson, B.G., Deemer, B., and Best, R.J., 2023, Linking ecosystem processes to consumer growth rates: Gross primary productivity as a driver of freshwater fish somatic growth in a resource-limited river: Canadian Journal of Fisheries and Aquatic Sciences, v. 80, no. 9, p. 1456-1469, https://doi.org/10.1139/cjfas-2022-0229.","productDescription":"14 p.","startPage":"1456","endPage":"1469","ipdsId":"IP-140014","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":435307,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9852I1G","text":"USGS data release","linkHelpText":"Mark-recapture and environmental data used to predict flannelmouth sucker (Catostomous latippinis) growth rates within the Colorado River in the Grand Canyon from April 2012 to October 2018"},{"id":418151,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Colorado River, Grand Canyon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -111.27498136463763,\n              36.98858242129437\n            ],\n            [\n              -114.02754662479255,\n              36.98858242129437\n            ],\n            [\n              -114.04862301899185,\n              35.6863242029561\n            ],\n            [\n              -111.27498136463763,\n              35.76209420100683\n            ],\n            [\n              -111.27498136463763,\n              36.98858242129437\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"80","issue":"9","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hansen, Lindsay Erika 0000-0003-4093-0598","orcid":"https://orcid.org/0000-0003-4093-0598","contributorId":310417,"corporation":false,"usgs":true,"family":"Hansen","given":"Lindsay","email":"","middleInitial":"Erika","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":875601,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yackulic, Charles B. 0000-0001-9661-0724","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":218825,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":875602,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dickson, Brett G.","contributorId":221849,"corporation":false,"usgs":false,"family":"Dickson","given":"Brett","email":"","middleInitial":"G.","affiliations":[{"id":40442,"text":"Conservation Science Partners, Truckee, CA; Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":875603,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Deemer, Bridget R. 0000-0002-5845-1002 bdeemer@usgs.gov","orcid":"https://orcid.org/0000-0002-5845-1002","contributorId":198160,"corporation":false,"usgs":true,"family":"Deemer","given":"Bridget","email":"bdeemer@usgs.gov","middleInitial":"R.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":875604,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Best, Rebecca J.","contributorId":198804,"corporation":false,"usgs":false,"family":"Best","given":"Rebecca","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":875605,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70244063,"text":"70244063 - 2023 - Broadscale distribution, abundance and habitat associations of the invasive Asian clam (Corbicula fluminea) in the lower Columbia River, USA","interactions":[],"lastModifiedDate":"2023-06-28T15:25:12.948847","indexId":"70244063","displayToPublicDate":"2023-05-27T08:23:07","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2088,"text":"International Review of Hydrobiology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Broadscale distribution, abundance and habitat associations of the invasive Asian clam (<i>Corbicula fluminea</i>) in the lower Columbia River, USA","title":"Broadscale distribution, abundance and habitat associations of the invasive Asian clam (Corbicula fluminea) in the lower Columbia River, USA","docAbstract":"<p><span>The Asian clam,&nbsp;</span><i>Corbicula fluminea</i><span>, is an invasive freshwater bivalve that has established populations across the globe and is known to have deleterious effects on natural and human systems. Yet, despite being present in the Columbia River (CR) for nearly a century, little is known about this invader's basic biology and ecology in this large river system. Thus, we undertook a field study to assess its i) broadscale distribution and abundance, and ii) associations with habitat characteristics in the lower CR. During 2019-20,&nbsp;</span><i>C. fluminea</i><span>&nbsp;were collected from 27 shore-based stations spanning 481 river kilometers of the lower CR, along with several habitat characteristics (bank slope, temperature, dissolved oxygen, pH, salinity, conductivity, chlorophyll-</span><i>a</i><span>&nbsp;concentration, and sediment composition and % organic matter).&nbsp;</span><i>C. fluminea</i><span>&nbsp;abundance ranged from 0-430 ind. m</span><sup>-2</sup><span>. Most sites with abundances &gt;100 ind. m</span><sup>-2</sup><span>&nbsp;were located downstream of Bonneville Dam, while most sites with abundances &lt; 100 ind. m</span><sup>-2</sup><span>&nbsp;were located upstream. Generalized linear models predicting the abundance of&nbsp;</span><i>C. fluminea</i><span>&nbsp;indicated significantly positive correlations with water temperature and % sand, and negative correlations with bank slope and sedimentary % organic matter. We also reviewed the global literature on abundance and habitat associations of&nbsp;</span><i>C. fluminea</i><span>&nbsp;and compared this with our own results. Our investigation represents the greatest spatial extent at which&nbsp;</span><i>C. fluminea</i><span>&nbsp;has been studied in the CR and our results provide a better understanding of the basic biology and ecology of this global invader, as well as provide natural resource managers with information on habitat conditions favorable for this invasive bivalve within temperate river ecosystems.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/iroh.202202134","usgsCitation":"Robb-Chavez, S.B., Bollens, S.M., Rollwagen-Bollens, G., and Counihan, T., 2023, Broadscale distribution, abundance and habitat associations of the invasive Asian clam (Corbicula fluminea) in the lower Columbia River, USA: International Review of Hydrobiology, v. 107, no. 5-6, p. 179-195, https://doi.org/10.1002/iroh.202202134.","productDescription":"17 p.","startPage":"179","endPage":"195","ipdsId":"IP-144215","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":443323,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.1002/iroh.202202134","text":"Publisher Index Page"},{"id":417644,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon, Washington","otherGeospatial":"lower Columbia River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -118.68681416397084,\n              46.425452015025826\n            ],\n            [\n              -123.89557364633748,\n              46.425452015025826\n            ],\n            [\n              -123.89557364633748,\n              45.394726212253744\n            ],\n            [\n              -118.68681416397084,\n              45.394726212253744\n            ],\n            [\n              -118.68681416397084,\n              46.425452015025826\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"107","issue":"5-6","noUsgsAuthors":false,"publicationDate":"2023-06-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Robb-Chavez, Salvador B.","contributorId":261391,"corporation":false,"usgs":false,"family":"Robb-Chavez","given":"Salvador","email":"","middleInitial":"B.","affiliations":[{"id":52831,"text":"Washington State University - Vancouver, School of the Environment","active":true,"usgs":false}],"preferred":false,"id":874362,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bollens, Stephen M. 0000-0001-9214-9037","orcid":"https://orcid.org/0000-0001-9214-9037","contributorId":148958,"corporation":false,"usgs":false,"family":"Bollens","given":"Stephen","email":"","middleInitial":"M.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":874363,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rollwagen-Bollens, Gretchen","contributorId":190162,"corporation":false,"usgs":false,"family":"Rollwagen-Bollens","given":"Gretchen","email":"","affiliations":[],"preferred":false,"id":874364,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Counihan, Timothy D. 0000-0003-4967-6514","orcid":"https://orcid.org/0000-0003-4967-6514","contributorId":207532,"corporation":false,"usgs":true,"family":"Counihan","given":"Timothy D.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":874365,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70243994,"text":"70243994 - 2023 - Climate change and coastal wetland salinization: Physiological and ecological consequences for Arctic waterfowl","interactions":[],"lastModifiedDate":"2023-07-11T16:07:02.8137","indexId":"70243994","displayToPublicDate":"2023-05-27T07:04:44","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1711,"text":"Functional Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Climate change and coastal wetland salinization: Physiological and ecological consequences for Arctic waterfowl","docAbstract":"<ol class=\"\"><li>Coastal wetland salinization related to warming climate has the potential to impact ecological systems globally. In Alaska, the Yukon-Kuskokwim Delta (YKD) supports large concentrations of breeding water birds and is an ecologically important area for conservation of migratory bird biodiversity. On the YKD, the majority of waterfowl nest in low elevation coastal tundra where storm surges drive saline water into terrestrial wetland habitats. Because newly hatched water birds lack functional salt glands to process saline water, salinization may negatively impact their growth and survival.</li><li>We investigated potential demographic impacts of wetland salinization by conducting controlled physiological experiments to determine consequences of saline water exposure to spectacled<span>&nbsp;</span><i>Somateria fischeri</i><span>&nbsp;</span>and Steller's eider<span>&nbsp;</span><i>Polysticta stelleri</i><span>&nbsp;</span>ducklings, and analysed habitat suitability based on experimentally defined tolerance thresholds and sampled wetland salinity levels.</li><li>We found physiological and behavioural pathologies in &lt;1 week old ducklings at exposure levels of 6 parts per thousand (ppt), and found some evidence of reduced growth in ducklings first exposed after 1 week of age. We conclude that the acute toxicity threshold for ducklings &lt;1 week of age is ≤6 ppt.</li><li>We found that the area of coastal tundra where wetland salinity exceeded 6 ppt varied considerably among years, suggesting that some portion of the breeding range is unsuitable for rearing ducklings in some years. However, we also found that most eiders in most years nested in areas with salinity at or exceeding the tolerance threshold for ducklings, suggesting that nesting eiders do not appear to avoid saline habitats. We suggest that localized fresh water refugia currently may allow resilience to salinization during the critical period.</li><li>Understanding how species and habitats respond to climate driven changes is essential for predicting future patterns of distribution and abundance, and is necessary for making informed decisions about conservation priorities. Our study provides insights into the extent of wetland salinization in Alaska, mechanism of impact and current ecological consequences on avian communities depending on these habitats. With ongoing climate change, the probability of species crossing physiological tolerance thresholds of wetland salinity may change in the future.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2435.14363","usgsCitation":"Hollmen, T.E., Flint, P.L., Ulman, S., Wilson, H., Amundson, C., and Osnas, E.E., 2023, Climate change and coastal wetland salinization: Physiological and ecological consequences for Arctic waterfowl: Functional Ecology, v. 37, no. 7, p. 1884-1896, https://doi.org/10.1111/1365-2435.14363.","productDescription":"13 p.","startPage":"1884","endPage":"1896","ipdsId":"IP-133912","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":443326,"rank":3,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/1365-2435.14363","text":"External Repository"},{"id":435309,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9HWRN22","text":"USGS data release","linkHelpText":"Data from Sampling for Small-Scale Geographic Variation in Salinity Along the Lower Kashunuk River, Yukon-Kuskokwim Delta, Alaska, 1993"},{"id":417569,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"7","noUsgsAuthors":false,"publicationDate":"2023-05-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Hollmen, Tuula E.","contributorId":211728,"corporation":false,"usgs":false,"family":"Hollmen","given":"Tuula","email":"","middleInitial":"E.","affiliations":[{"id":16211,"text":"Alaska SeaLife Center","active":true,"usgs":false}],"preferred":false,"id":874095,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flint, Paul L. 0000-0002-8758-6993 pflint@usgs.gov","orcid":"https://orcid.org/0000-0002-8758-6993","contributorId":3284,"corporation":false,"usgs":true,"family":"Flint","given":"Paul","email":"pflint@usgs.gov","middleInitial":"L.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":874096,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ulman, Sadie","contributorId":305922,"corporation":false,"usgs":false,"family":"Ulman","given":"Sadie","email":"","affiliations":[{"id":16211,"text":"Alaska SeaLife Center","active":true,"usgs":false}],"preferred":false,"id":874097,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wilson, H.M.","contributorId":243269,"corporation":false,"usgs":false,"family":"Wilson","given":"H.M.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":874098,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Amundson, Courtney","contributorId":257417,"corporation":false,"usgs":false,"family":"Amundson","given":"Courtney","affiliations":[{"id":40349,"text":"USGS Alaska Science Center (former employee)","active":true,"usgs":false}],"preferred":false,"id":874099,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Osnas, Erik E.","contributorId":206352,"corporation":false,"usgs":false,"family":"Osnas","given":"Erik","middleInitial":"E.","affiliations":[{"id":6644,"text":"Princeton University","active":true,"usgs":false}],"preferred":false,"id":874100,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70246601,"text":"70246601 - 2023 - Using taxa-based approaches to delineate stream macroinvertebrate assemblage responses to stressor gradients in modified alluvial agroecosystems","interactions":[],"lastModifiedDate":"2023-07-11T11:45:17.44451","indexId":"70246601","displayToPublicDate":"2023-05-27T06:42:46","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Using taxa-based approaches to delineate stream macroinvertebrate assemblage responses to stressor gradients in modified alluvial agroecosystems","docAbstract":"<p>Alluvial plain landscapes are some of the most agriculturally productive lands in the world but often have modified stream ecosystems due to cultivation history. This context requires consideration when establishing water quality management goals. We analyzed state water quality databases to demonstrate that Mississippi Alluvial Plain (MAP) ecoregion streams have elevated specific conductivity (SC) and nutrients and lower macroinvertebrate local and regional taxa pools compared to streams in other ecoregions, potentially reducing the efficacy of traditional biomonitoring approaches within the region. To overcome these challenges, we used threshold indicator taxa analysis (TITAN) to compare macroinvertebrate assemblage responses to water quality gradients among ecoregions in Mississippi. We identified individual taxa and assemblage-level responses to increasing water quality degradation in MAP streams. Observed responses occurred at higher concentrations for SC, total organic carbon (TOC) and total phosphorus (TP), but not total nitrogen (TN) relative to other ecoregions. These responses appeared to be driven by a large proportion of indicator taxa considered tolerant or unresponsive in other ecoregions, responding negatively to increasing water quality stressors in MAP streams. Our observed assemblage-level stressor responses to WQ gradients in MAP streams demonstrate shifting tolerance in highly altered ecosystems may require adjustments to recovery expectations but also provide useful measures for monitoring improvements in regional water quality. For example, our observed macroinvertebrate assemblage response to increasing TP identified a management goal similar to guidance based on distributional analysis of water quality data within the MAP ecoregion (0.11 vs 0.128 mg L−1) and thus provide some biological basis for previously identified nutrient goals for the region. Our approach can guide and monitor success of nutrient reduction efforts in MAP watersheds and other alluvial plain agroecosystems where reference conditions do not exist, and local and regional taxa pools are less diverse and may not support full recovery of ecological assemblages. While our results are promising, they should also be compared with more sensitive and less habitat-limited biological assemblages (e.g., algae or bacteria) to better understand complex ecological responses to best management practices designed to increase sustainability of high production agricultural regions.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2023.110377","usgsCitation":"Taylor, J.M., DeVilbiss, S.E., and Hicks, M.B., 2023, Using taxa-based approaches to delineate stream macroinvertebrate assemblage responses to stressor gradients in modified alluvial agroecosystems: Ecological Indicators, v. 153, 110377, 13 p., https://doi.org/10.1016/j.ecolind.2023.110377.","productDescription":"110377, 13 p.","ipdsId":"IP-140788","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":443328,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolind.2023.110377","text":"Publisher Index Page"},{"id":418852,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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 \"}}]}","volume":"153","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Taylor, Jason M.","contributorId":212809,"corporation":false,"usgs":false,"family":"Taylor","given":"Jason","email":"","middleInitial":"M.","affiliations":[{"id":38685,"text":"USDA, ARS Sedimentation Lab","active":true,"usgs":false}],"preferred":false,"id":877317,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeVilbiss, Stephen E.","contributorId":316291,"corporation":false,"usgs":false,"family":"DeVilbiss","given":"Stephen","email":"","middleInitial":"E.","affiliations":[{"id":36658,"text":"U.S. Department of Agriculture","active":true,"usgs":false}],"preferred":false,"id":877318,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hicks, Matthew B. 0000-0001-5516-0296 mhicks@usgs.gov","orcid":"https://orcid.org/0000-0001-5516-0296","contributorId":3778,"corporation":false,"usgs":true,"family":"Hicks","given":"Matthew","email":"mhicks@usgs.gov","middleInitial":"B.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":877319,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70243976,"text":"70243976 - 2023 - Comparative toxicity of two neonicotinoid insecticides at environmentally relevant concentrations to telecoprid dung beetles","interactions":[],"lastModifiedDate":"2023-05-30T14:29:28.876741","indexId":"70243976","displayToPublicDate":"2023-05-26T09:27:00","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":"Comparative toxicity of two neonicotinoid insecticides at environmentally relevant concentrations to telecoprid dung beetles","docAbstract":"<p><span>Dung beetles (Coleoptera: Scarabaeinae) frequently traverse agricultural matrices in search of ephemeral dung resources and spend extended periods of time burrowing in soil. Neonicotinoids are among the most heavily applied and widely detected insecticides used in conventional agriculture with formulated products designed for row crop and livestock pest suppression. Here, we determined the comparative toxicity of two neonicotinoids (imidacloprid and thiamethoxam) on dung beetles,&nbsp;</span><i>Canthon spp.</i><span>, under two exposure profiles: direct topical application (acute) and sustained contact with treated-soil (chronic). Imidacloprid was significantly more toxic than thiamethoxam under each exposure scenario. Topical application LD50 values (95% CI) for imidacloprid and thiamethoxam were 19.1 (14.5–25.3) and 378.9 (200.3–716.5) ng/beetle, respectively. After the 10-day soil exposure, the measured percent mortality in the 3 and 9&nbsp;µg/kg nominal imidacloprid treatments was 35 ± 7% and 39 ± 6%, respectively. Observed mortality in the 9&nbsp;µg/kg imidacloprid treatment was significantly greater than the control (</span><i>p</i><span> = 0.04); however, the 3&nbsp;µg/kg imidacloprid dose response may be biologically relevant (</span><i>p</i><span> = 0.07). Thiamethoxam treatments had similar mortality as the controls (</span><i>p</i><span> &gt; 0.8). Environmentally relevant concentrations of imidacloprid measured in airborne particulate matter and non-target soils pose a potential risk to coprophagous scarabs.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/s41598-023-35262-w","usgsCitation":"Cavallaro, M.C., Hladik, M.L., Hittson, S., Middleton, G., and Hoback, W.W., 2023, Comparative toxicity of two neonicotinoid insecticides at environmentally relevant concentrations to telecoprid dung beetles: Scientific Reports, v. 13, 8537, 10 p., https://doi.org/10.1038/s41598-023-35262-w.","productDescription":"8537, 10 p.","ipdsId":"IP-151364","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":443337,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-023-35262-w","text":"Publisher Index Page"},{"id":417529,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","noUsgsAuthors":false,"publicationDate":"2023-05-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Cavallaro, Michael C.","contributorId":296789,"corporation":false,"usgs":false,"family":"Cavallaro","given":"Michael","email":"","middleInitial":"C.","affiliations":[{"id":64177,"text":"Bullhead City Pest Abatement District","active":true,"usgs":false}],"preferred":false,"id":873983,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hladik, Michelle L. 0000-0002-0891-2712","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":203857,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":873984,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hittson, Samantha","contributorId":305839,"corporation":false,"usgs":false,"family":"Hittson","given":"Samantha","email":"","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":873985,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Middleton, Greg","contributorId":305840,"corporation":false,"usgs":false,"family":"Middleton","given":"Greg","email":"","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":873986,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hoback, W. Wyatt","contributorId":305841,"corporation":false,"usgs":false,"family":"Hoback","given":"W.","email":"","middleInitial":"Wyatt","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":873987,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70260121,"text":"70260121 - 2023 - Operationalizing crop model data assimilation for improved on-farm situational awareness","interactions":[],"lastModifiedDate":"2024-10-29T12:16:04.993327","indexId":"70260121","displayToPublicDate":"2023-05-26T07:12:10","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":681,"text":"Agricultural and Forest Meteorology","active":true,"publicationSubtype":{"id":10}},"title":"Operationalizing crop model data assimilation for improved on-farm situational awareness","docAbstract":"<div id=\"abs0002\" class=\"abstract author\"><div id=\"abss0002\"><div id=\"spara013\" class=\"u-margin-s-bottom\">The ability of ‘digital agriculture’ to support on-farm decision making is predicated on the real-time combination of observations and prior knowledge into an integrated digital environment. The mathematical discipline that seeks to provide this integration is known as model data assimilation (DA), with demonstrated benefits including improved predictive reliability, and the capacity to identify unexpected changes in field conditions and potential measurement errors. Despite routine adoption in other fields, the delayed adoption of DA in agriculture is due to the need to express end-of-season outcomes such as yield, update forecasts of these outcomes throughout the growing season as data become available, and enhance forecast reliability. To overcome these challenges, three guiding principles are introduced, providing a means to operationalize crop model DA for robust on-farm decision support. We apply the guiding principles using a South Australian viticulture case study. Our case study involves application of an iterative form of a widely used DA algorithm (ensemble Kalman filter) to dynamically update both static parameters and states associated with a grapevine simulation model. Daily weather data as well as fortnightly ground-based leaf area index (LAI) data are used for assimilation. It is shown how crop model DA can lead to not only significant improvements in forecasts of LAI but also to forecasts of end-of-season yield. The guiding principles also enable observations of greatest value to be identified throughout the season. This study highlights the role that formal crop model DA can play in agricultural decision support through enhancing situational awareness in real time.</div></div></div><div id=\"abs0003\" class=\"abstract graphical\"><br></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.agrformet.2023.109502","usgsCitation":"Knowling, M., White, J., Grigg, D., Collins, C., Westra, S., Walker, R.R., Pellegrino, A., Ostendorf, B., Bennet, B., and Alzraiee, A.H., 2023, Operationalizing crop model data assimilation for improved on-farm situational awareness: Agricultural and Forest Meteorology, v. 338, 109502, 16 p., https://doi.org/10.1016/j.agrformet.2023.109502.","productDescription":"109502, 16 p.","ipdsId":"IP-139574","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":467110,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.agrformet.2023.109502","text":"Publisher Index Page"},{"id":463314,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"338","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Knowling, Matthew 0000-0002-7273-3495","orcid":"https://orcid.org/0000-0002-7273-3495","contributorId":251904,"corporation":false,"usgs":false,"family":"Knowling","given":"Matthew","email":"","affiliations":[{"id":36277,"text":"GNS Science","active":true,"usgs":false}],"preferred":false,"id":917061,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"White, Jeremy T. 0000-0002-4950-1469","orcid":"https://orcid.org/0000-0002-4950-1469","contributorId":248830,"corporation":false,"usgs":false,"family":"White","given":"Jeremy T.","affiliations":[{"id":50032,"text":"GNS New Zealand","active":true,"usgs":false}],"preferred":false,"id":917062,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grigg, Dylan","contributorId":345591,"corporation":false,"usgs":false,"family":"Grigg","given":"Dylan","email":"","affiliations":[{"id":82640,"text":"School of Agriculture, Food and Wine, Faculty of Sciences, The University of Adelaide, Australia","active":true,"usgs":false}],"preferred":false,"id":917063,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Collins, Cassandra","contributorId":345592,"corporation":false,"usgs":false,"family":"Collins","given":"Cassandra","email":"","affiliations":[{"id":82642,"text":"The University of Adelaide, Australia","active":true,"usgs":false}],"preferred":false,"id":917064,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Westra, Seth","contributorId":345593,"corporation":false,"usgs":false,"family":"Westra","given":"Seth","email":"","affiliations":[{"id":82644,"text":"School of Civil, Environmental and Mining Engineering, Faculty of Engineering, Computer and Mathematical Sciences, The University of Adelaide, Australia","active":true,"usgs":false}],"preferred":false,"id":917065,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Walker, Rob R.","contributorId":345594,"corporation":false,"usgs":false,"family":"Walker","given":"Rob","email":"","middleInitial":"R.","affiliations":[{"id":82640,"text":"School of Agriculture, Food and Wine, Faculty of Sciences, The University of Adelaide, Australia","active":true,"usgs":false}],"preferred":false,"id":917066,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pellegrino, Anne","contributorId":345595,"corporation":false,"usgs":false,"family":"Pellegrino","given":"Anne","email":"","affiliations":[{"id":82645,"text":"LEPSE, Montpellier University, INRAE, Institute Agro, Montpellier, France","active":true,"usgs":false}],"preferred":false,"id":917067,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ostendorf, Bertram","contributorId":345596,"corporation":false,"usgs":false,"family":"Ostendorf","given":"Bertram","email":"","affiliations":[{"id":82646,"text":"7School of Biological Sciences, Faculty of Sciences, The University of Adelaide, Australia","active":true,"usgs":false}],"preferred":false,"id":917068,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bennet, Bree","contributorId":345597,"corporation":false,"usgs":false,"family":"Bennet","given":"Bree","email":"","affiliations":[{"id":82644,"text":"School of Civil, Environmental and Mining Engineering, Faculty of Engineering, Computer and Mathematical Sciences, The University of Adelaide, Australia","active":true,"usgs":false}],"preferred":false,"id":917069,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Alzraiee, Ayman H. 0000-0001-7576-3449","orcid":"https://orcid.org/0000-0001-7576-3449","contributorId":272120,"corporation":false,"usgs":true,"family":"Alzraiee","given":"Ayman","email":"","middleInitial":"H.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":917070,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70246673,"text":"70246673 - 2023 - Electromagnetic and magnetic imaging of the Stillwater Complex, Montana, USA","interactions":[],"lastModifiedDate":"2023-10-12T11:02:01.080867","indexId":"70246673","displayToPublicDate":"2023-05-26T07:10:17","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1612,"text":"Exploration Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Electromagnetic and magnetic imaging of the Stillwater Complex, Montana, USA","docAbstract":"<div class=\"hlFld-Abstract\"><div class=\"abstractSection abstractInFull\"><p>Modelling and analysis of helicopter electromagnetic data result in resistivity and susceptibility models and derivatives of magnetic data that characterise shallow parts of the Stillwater Complex, critical for aiding exploration and expansion of globally scarce critical and battery mineral resources that include platinum group elements, nickel, copper and chromium. The magnetic susceptibly models derived from the electromagnetic data and the tilt derivative of the magnetic data image layering, mafic dikes, banded iron formation, and serpentinised peridotite. Known areas with contact-type mineralisation are generally characterised by low resistivities and susceptibilities where the volume of mineralised rock is large and/or the depth is shallow. We use iso-cluster and edge detection analysis of both resistivities and susceptibilities to identify potential mineralisation in poorly characterised regions as well as faults. Low resistivity layers beneath large landslides reflect water saturated porous slip surfaces which can interfere with drilling. This uncommon approach of tightly linking the resistivity and susceptibility models and magnetic anomaly data to rock property, surficial geologic, drill hole and soil geochemistry data to image the geology in the upper ∼100 m, aids identification of prospective mineralised regions as well landslides and faults that can impact mineral exploration and local hazards.</p></div></div>","language":"English","publisher":"Taylor and Francis","doi":"10.1080/08123985.2023.2214166","usgsCitation":"Finn, C., Zientek, M., Bloss, B.R., Parks, H.L., and Modroo, J., 2023, Electromagnetic and magnetic imaging of the Stillwater Complex, Montana, USA: Exploration Geophysics, v. 54, no. 6, p. 553-570, https://doi.org/10.1080/08123985.2023.2214166.","productDescription":"18 p.","startPage":"553","endPage":"570","ipdsId":"IP-144763","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":418923,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Stillwater Complex","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -110.10,\n              45.3\n            ],\n            [\n              -110.10,\n              45.2\n            ],\n            [\n              -109.5,\n              45.2\n            ],\n            [\n              -109.5,\n              45.3\n            ],\n            [\n              -110.10,\n              45.3\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"54","issue":"6","noUsgsAuthors":false,"publicationDate":"2023-05-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Finn, Carol A. 0000-0002-6178-0405","orcid":"https://orcid.org/0000-0002-6178-0405","contributorId":229711,"corporation":false,"usgs":true,"family":"Finn","given":"Carol A.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":877866,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zientek, Michael L. 0000-0002-8522-9626","orcid":"https://orcid.org/0000-0002-8522-9626","contributorId":210763,"corporation":false,"usgs":true,"family":"Zientek","given":"Michael L.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":877867,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bloss, Benjamin r.","contributorId":316619,"corporation":false,"usgs":false,"family":"Bloss","given":"Benjamin","email":"","middleInitial":"r.","affiliations":[{"id":62977,"text":"Emerald Geomodeling","active":true,"usgs":false}],"preferred":false,"id":877868,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Parks, Heather L. 0000-0002-5917-6866 hparks@usgs.gov","orcid":"https://orcid.org/0000-0002-5917-6866","contributorId":4989,"corporation":false,"usgs":true,"family":"Parks","given":"Heather","email":"hparks@usgs.gov","middleInitial":"L.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":877869,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Modroo, Justin","contributorId":242874,"corporation":false,"usgs":false,"family":"Modroo","given":"Justin","email":"","affiliations":[{"id":48566,"text":"Group Ten Metals","active":true,"usgs":false}],"preferred":false,"id":877870,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70244021,"text":"70244021 - 2023 - High voltage: The molecular properties of redox-active dissolved organic matter in northern high-latitude lakes","interactions":[],"lastModifiedDate":"2023-06-28T15:24:10.814471","indexId":"70244021","displayToPublicDate":"2023-05-26T06:41:14","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"High voltage: The molecular properties of redox-active dissolved organic matter in northern high-latitude lakes","docAbstract":"<div class=\"container container_scaled-down\"><div class=\"row\"><div class=\"col-xs-12\"><div id=\"abstractBox\" class=\"article_abstract-content hlFld-Abstract\"><p class=\"articleBody_abstractText\">Redox-active functional groups in dissolved organic matter (DOM) are crucial for microbial electron transfer and methane emissions. However, the extent of aquatic DOM redox properties across northern high-latitude lakes and their relationships with DOM composition have not been thoroughly described. We quantified electron donating capacity (EDC) and electron accepting capacity (EAC) in lake DOM from Canada to Alaska and assessed their relationships with parameters from absorbance, fluorescence, and ultrahigh resolution mass spectrometry (FT-ICR MS) analyses. EDC and EAC are strongly tied to aromaticity and negatively related to aliphaticity and protein-like content. Redox-active formulae spanned a range of aromaticity, including highly unsaturated phenolic formulae, and correlated negatively with many aliphatic N and S-containing formulae. This distribution illustrates the compositional diversity of redox-sensitive functional groups and their sensitivity to ecosystem properties such as local hydrology and residence time. Finally, we developed a reducing index (<i>RI</i>) to predict EDC in aquatic DOM from FT-ICR MS spectra and assessed its robustness using riverine DOM. As the hydrology of the northern high-latitudes continues to change, we expect differences in the quantity and partitioning of EDC and EAC within these lakes, which have implications for local water quality and methane emissions.</p></div></div></div></div>","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.3c01782","usgsCitation":"Kurek, M.R., Garcia-Tigreros, F., Nichols, N.A., Druschel, G.K., Wickland, K., Dornblaser, M.M., Striegl, R.G., Niles, S.F., McKenna, A.M., Aukes, P.J., Kyzivat, E.D., Wang, C., Smith, L., Schiff, S.L., Butman, D., and Spencer, R., 2023, High voltage: The molecular properties of redox-active dissolved organic matter in northern high-latitude lakes: Environmental Science & Technology, v. 57, no. 23, p. 8617-8627, https://doi.org/10.1021/acs.est.3c01782.","productDescription":"11 p.","startPage":"8617","endPage":"8627","ipdsId":"IP-149040","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":417566,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"57","issue":"23","noUsgsAuthors":false,"publicationDate":"2023-05-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Kurek, Martin R.","contributorId":300567,"corporation":false,"usgs":false,"family":"Kurek","given":"Martin","email":"","middleInitial":"R.","affiliations":[{"id":7092,"text":"Florida State University","active":true,"usgs":false}],"preferred":false,"id":874164,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garcia-Tigreros, Fenix 0000-0001-8694-9046","orcid":"https://orcid.org/0000-0001-8694-9046","contributorId":194744,"corporation":false,"usgs":false,"family":"Garcia-Tigreros","given":"Fenix","email":"","affiliations":[],"preferred":false,"id":874165,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nichols, Natalie A.","contributorId":305955,"corporation":false,"usgs":false,"family":"Nichols","given":"Natalie","email":"","middleInitial":"A.","affiliations":[{"id":12680,"text":"Indiana University-Purdue University","active":true,"usgs":false}],"preferred":false,"id":874166,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Druschel, Gregory K.","contributorId":305956,"corporation":false,"usgs":false,"family":"Druschel","given":"Gregory","email":"","middleInitial":"K.","affiliations":[{"id":12680,"text":"Indiana University-Purdue University","active":true,"usgs":false}],"preferred":false,"id":874167,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wickland, Kimberly 0000-0002-6400-0590","orcid":"https://orcid.org/0000-0002-6400-0590","contributorId":208471,"corporation":false,"usgs":true,"family":"Wickland","given":"Kimberly","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":874168,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dornblaser, Mark M.","contributorId":300296,"corporation":false,"usgs":false,"family":"Dornblaser","given":"Mark","email":"","middleInitial":"M.","affiliations":[{"id":36206,"text":"Retired","active":true,"usgs":false}],"preferred":false,"id":874169,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Striegl, Robert G. 0000-0002-8251-4659 rstriegl@usgs.gov","orcid":"https://orcid.org/0000-0002-8251-4659","contributorId":1630,"corporation":false,"usgs":true,"family":"Striegl","given":"Robert","email":"rstriegl@usgs.gov","middleInitial":"G.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":874170,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Niles, Sydney F.","contributorId":300569,"corporation":false,"usgs":false,"family":"Niles","given":"Sydney","email":"","middleInitial":"F.","affiliations":[{"id":65203,"text":"National High Magnetic Field Laboratory","active":true,"usgs":false}],"preferred":false,"id":874171,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"McKenna, Amy M.","contributorId":298033,"corporation":false,"usgs":false,"family":"McKenna","given":"Amy","email":"","middleInitial":"M.","affiliations":[{"id":7092,"text":"Florida State University","active":true,"usgs":false}],"preferred":false,"id":874172,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Aukes, Pieter J.K","contributorId":300570,"corporation":false,"usgs":false,"family":"Aukes","given":"Pieter","email":"","middleInitial":"J.K","affiliations":[{"id":6655,"text":"University of Waterloo","active":true,"usgs":false}],"preferred":false,"id":874173,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Kyzivat, Ethan D.","contributorId":300572,"corporation":false,"usgs":false,"family":"Kyzivat","given":"Ethan","email":"","middleInitial":"D.","affiliations":[{"id":16929,"text":"Brown University","active":true,"usgs":false}],"preferred":false,"id":874174,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Wang, Chao","contributorId":292527,"corporation":false,"usgs":false,"family":"Wang","given":"Chao","email":"","affiliations":[{"id":27517,"text":"University of North Carolina - Chapel Hill","active":true,"usgs":false}],"preferred":false,"id":874175,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Smith, Laurence C.","contributorId":169004,"corporation":false,"usgs":false,"family":"Smith","given":"Laurence C.","affiliations":[{"id":13022,"text":"Department of Geography, University of California, Los Angeles","active":true,"usgs":false}],"preferred":false,"id":874176,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Schiff, Sherry L.","contributorId":173073,"corporation":false,"usgs":false,"family":"Schiff","given":"Sherry","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":874177,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Butman, David","contributorId":224754,"corporation":false,"usgs":false,"family":"Butman","given":"David","affiliations":[{"id":16962,"text":"U. Washington","active":true,"usgs":false}],"preferred":false,"id":874178,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Spencer, Robert G.M.","contributorId":173304,"corporation":false,"usgs":false,"family":"Spencer","given":"Robert G.M.","affiliations":[{"id":16705,"text":"Woods Hole Research Center","active":true,"usgs":false}],"preferred":false,"id":874179,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}}
,{"id":70256669,"text":"70256669 - 2023 - Patterns of water use by raptors in the southern Great Plains","interactions":[],"lastModifiedDate":"2024-08-07T23:44:22.183237","indexId":"70256669","displayToPublicDate":"2023-05-25T18:42:47","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2442,"text":"Journal of Raptor Research","active":true,"publicationSubtype":{"id":10}},"title":"Patterns of water use by raptors in the southern Great Plains","docAbstract":"<p id=\"ID0EF\" class=\"first\">There is a paucity of data evaluating water use by raptors. Although raptors are believed to satisfy their water requirements through metabolic processes, they are known to experience reduced reproductive success during periods of drought, and there is evidence of water being important for site occupancy in arid landscapes. Several raptor species have a seasonal or year-round presence in west Texas, a drought-prone, semi-arid region of the Southern Great Plains. We examined species-specific timing of free water use by common raptors in this region, and examined environmental conditions associated with water use. We collected 4549 camera trap-days of data across 4 yr at ten human-made water sources placed for cattle. We recorded 14 species of raptors among the 1177 detections of raptors visiting water sources; of these, 1084 raptors (92.1%) perched at tanks, and 93 (7.1%) flew by tanks. Of the raptors that perched at tanks, 63.5% drank and 20.8% both bathed and drank. Barn Owls (<i>Tyto alba</i>; 35.6%), Swainson's Hawks (<i>Buteo swainsoni</i>; 32.0%), and Northern Harriers (<i>Circus hudsonius</i>; 21.0%) were the predominate species detected. Visits by Northern Harriers and Swainson's Hawks increased with increasing temperature and decreasing precipitation. Visits by Barn Owls increased with increasing drought severity. Further, detections per 100 trap-days increased substantively across our 4-yr study period during which the region experienced one of the worst droughts on record. Although our data do not demonstrate these raptors require free water, they do reveal an increasing use of free water in relation to hotter and drier conditions. How this influences survival and reproduction remains unknown, but may become a pressing question because current climate models predict the study area will experience increases in heat and decreases in precipitation.</p>","language":"English","publisher":"BioOne","doi":"10.3356/JRR-21-70","usgsCitation":"Boal, C.W., Bibles, B.D., and Gicklhorn, T., 2023, Patterns of water use by raptors in the southern Great Plains: Journal of Raptor Research, v. 57, no. 3, p. 444-455, https://doi.org/10.3356/JRR-21-70.","productDescription":"12 p.","startPage":"444","endPage":"455","ipdsId":"IP-134224","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":432384,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"57","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Boal, Clint W. 0000-0001-6008-8911 cboal@usgs.gov","orcid":"https://orcid.org/0000-0001-6008-8911","contributorId":1909,"corporation":false,"usgs":true,"family":"Boal","given":"Clint","email":"cboal@usgs.gov","middleInitial":"W.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":908580,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bibles, Brent D.","contributorId":341539,"corporation":false,"usgs":false,"family":"Bibles","given":"Brent","email":"","middleInitial":"D.","affiliations":[{"id":81739,"text":"Unity College","active":true,"usgs":false}],"preferred":false,"id":908581,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gicklhorn, Trevor S.","contributorId":341540,"corporation":false,"usgs":false,"family":"Gicklhorn","given":"Trevor S.","affiliations":[{"id":36331,"text":"Texas Tech University","active":true,"usgs":false}],"preferred":false,"id":908582,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70243941,"text":"sir20235050 - 2023 - Bathymetric and velocimetric surveys at highway bridges crossing the Missouri and Mississippi Rivers near St. Louis, Missouri, August 3–10, 2020","interactions":[],"lastModifiedDate":"2026-03-09T16:14:58.563672","indexId":"sir20235050","displayToPublicDate":"2023-05-25T14:04:57","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":"2023-5050","displayTitle":"Bathymetric and Velocimetric Surveys at Highway Bridges Crossing the Missouri and Mississippi Rivers near St. Louis, Missouri, August 3–10, 2020","title":"Bathymetric and velocimetric surveys at highway bridges crossing the Missouri and Mississippi Rivers near St. Louis, Missouri, August 3–10, 2020","docAbstract":"<p>Bathymetric and velocimetric data were collected by the U.S. Geological Survey, in cooperation with the Missouri Department of Transportation, near 15 bridges at 10 highway crossings of the Missouri and Mississippi Rivers near Washington, Louisiana, and St. Louis, Missouri, on August 3–10, 2020. A multibeam echosounder mapping system was used to obtain channel-bed elevations for river reaches about 1,640 to 1,970 feet longitudinally and generally extending laterally across the active channel from bank to bank during moderate flood-flow conditions. These surveys provided channel geometry and hydraulic conditions at the time of the surveys and provided characteristics of scour holes that may be useful in developing predictive guidelines or equations for computing potential scour depth. These data also may be useful to the Missouri Department of Transportation as a low to moderate flood-flow assessment of the bridges for stability and integrity issues with respect to bridge scour during floods.</p><p>Bathymetric data were collected around every in-channel pier. Scour holes were present at most piers for which bathymetry could be obtained, except those on banks or surrounded by riprap. All the bridge sites in this study were previously surveyed and documented in previous studies, including the two new bridge structures at Louisiana and Washington (structures A8141 and A8504, sites 22 and 32, respectively). Comparisons between bathymetric surfaces from the previous surveys and those of the current (2020) study do not indicate any consistent correlation in channel-bed elevations with streamflow conditions. The comparisons of the 2020 surveys to two previous surveys at the new bridge structure A8141 at Washington (site 22) resulted in net erosion of the channel bed in both comparisons, despite the 2020 streamflow being less than either previous survey. Alternatively, there was a net gain of sediment at new bridge structure A8504 at Louisiana (site 32) between 2014 and 2020, which was the most substantial increase in the surveys detailed in this report; substantially less flow in 2020 than in 2014 or changes to the channel and spur dikes near the bridge may have contributed to the observed sediment gain.</p><p>Pier size, nose shape, and skew to approach flow had a substantial effect on the size of the scour hole observed at a given pier. Larger and deeper scour holes were present at piers with wide or blunt noses caused by exposed footings, seal courses, or caissons. When a pier was skewed to primary approach flow, the scour hole was generally deeper and larger than at a similar pier without skew; however, the shape of the scour hole near skewed piers in this study generally was longer and deeper on the leeward side, contrary to the general shape of scour holes for skewed piers. However, this phenomenon has been observed historically at these sites, and likely is exacerbated by debris rafts or other turbulence-inducing features near the atypical scour holes. A substantial scour hole was observed near pier 11 of structure A6500 (site 33), which was deeper than in the 2016 survey. The scour holes observed at pier 17 of structure L0561 (site 25) and piers 3 and 4 of structure A1500 (site 34) also were slightly deeper and wider in 2020 than in 2016. At new bridge structures A8141 at Washington (site 22) and A8504 at Louisiana (site 32), the smaller cross-sectional area and configuration of the piers of the new bridges resulted in substantially less scour than with the wider old piers.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235050","collaboration":"Prepared in cooperation with Missouri Department of Transportation","usgsCitation":"Huizinga, R.J., 2023, Bathymetric and velocimetric surveys at highway bridges crossing the Missouri and Mississippi Rivers near St. Louis, Missouri, August 3–10, 2020 (ver. 1.1, June 2023): U.S. Geological Survey Scientific Investigations Report 2023–5050, 129 p., https://doi.org/10.3133/sir20235050.","productDescription":"Report: xii, 129 p.; 4 Data Releases","numberOfPages":"146","onlineOnly":"Y","ipdsId":"IP-137672","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":500928,"rank":11,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_114743.htm","linkFileType":{"id":5,"text":"html"}},{"id":417650,"rank":9,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sir/2023/5050/versionHist.txt","text":"Version History","size":"1.19 kB","linkFileType":{"id":2,"text":"txt"}},{"id":417532,"rank":8,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2023/5050/images"},{"id":417434,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9F04JC5","text":"USGS data release","linkHelpText":"Bathymetry and velocity data from surveys at highway bridges crossing the Missouri and Mississippi Rivers near St. Louis, Missouri, August 3–10, 2020"},{"id":417432,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9WDI9YF","text":"USGS data release","linkHelpText":"Bathymetry and velocity data from surveys at highway bridges crossing the Missouri and Mississippi Rivers on the periphery of Missouri, December 2008 through August 2018"},{"id":417431,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P94M4US7","text":"USGS data release","linkHelpText":"Bathymetry and velocity data from surveys at highway bridges crossing the Missouri River between Kansas City and St. Louis, Missouri, January 2010 through May 2017"},{"id":417429,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F71C1VCC","text":"USGS data release","linkHelpText":"Bathymetry and velocity data from surveys at highway bridges crossing the Missouri and Mississippi Rivers near St. Louis, Missouri, October 2008 through May 2016"},{"id":417428,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2023/5050/sir20235050.XML","linkFileType":{"id":8,"text":"xml"}},{"id":417427,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2023/5050/sir20235050.pdf","text":"Report","size":"26.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2023–5050"},{"id":417426,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2023/5050/coverthb2.jpg"},{"id":417651,"rank":10,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20235050/full"}],"country":"United States","state":"Illinois, Missouri","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -90.7316541640954,\n              39.115075665885314\n            ],\n            [\n              -90.7316541640954,\n              38.326846254515004\n            ],\n            [\n              -90.02883149031791,\n              38.326846254515004\n            ],\n            [\n              -90.02883149031791,\n              39.115075665885314\n            ],\n            [\n              -90.7316541640954,\n              39.115075665885314\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","edition":"Version 1.0: May 25, 2023; Version 1.1: June 1, 2023","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/cm-water\" data-mce-href=\"https://www.usgs.gov/centers/cm-water\">Central Midwest Water Science Center</a><br>U.S. Geological Survey<br>1400 Independence Road<br>Rolla, MO 65401</p><p><a href=\"https://pubs.er.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Results of Bathymetric and Velocimetric Surveys</li><li>Summary and Conclusions</li><li>References Cited</li><li>Glossary</li><li>Appendix 1. Shaded Triangulated Irregular Network Images of the Channel and Side of Pier for Each Surveyed Pier</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2023-05-25","revisedDate":"2023-06-01","noUsgsAuthors":false,"publicationDate":"2023-05-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Huizinga, Richard J. 0000-0002-2940-2324 huizinga@usgs.gov","orcid":"https://orcid.org/0000-0002-2940-2324","contributorId":2089,"corporation":false,"usgs":true,"family":"Huizinga","given":"Richard","email":"huizinga@usgs.gov","middleInitial":"J.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":873827,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70243794,"text":"ofr20231043 - 2023 - Natural and anthropogenic hexavalent chromium, Cr(VI), in groundwater near a mapped plume, Hinkley, California","interactions":[],"lastModifiedDate":"2026-02-11T21:24:03.936579","indexId":"ofr20231043","displayToPublicDate":"2023-05-25T13:21:36","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-1043","displayTitle":"Natural and Anthropogenic Hexavalent Chromium, Cr(VI), in Groundwater near a Mapped Plume, Hinkley, California","title":"Natural and anthropogenic hexavalent chromium, Cr(VI), in groundwater near a mapped plume, Hinkley, California","docAbstract":"<p>The Pacific Gas and Electric Company (PG&amp;E) Hinkley compressor station, in the Mojave Desert, 80 miles northeast of Los Angeles, California, is used to compress natural gas as it is transported through a pipeline from Texas to California. Between 1952 and 1964, cooling water was treated with a compound containing hexavalent chromium, Cr(VI), to prevent corrosion of machinery within the compressor station. Cooling wastewater containing Cr(VI) was discharged to unlined ponds and released into groundwater. Since 1964, cooling-water management practices have been used that do not contribute chromium to groundwater.</p>","language":"English, Spanish","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20231043","collaboration":"Prepared in cooperation with Lahontan Regional Water Quality Control Board","usgsCitation":"Izbicki, J.A., Groover, K.D., Seymour, W.A., Miller, D.M., Warden, J.G., and Miller, L.G., 2023, Natural and anthropogenic hexavalent chromium, Cr(VI), in groundwater near a mapped plume, Hinkley, California (ver. 1.1, June 2023): U.S. Geological Survey Open-File Report 2023-1043, 6 p., https://doi.org/10.3133/ofr20231043.","productDescription":"6 p.","numberOfPages":"6","onlineOnly":"Y","ipdsId":"IP-124184","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":499781,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_114741.htm","linkFileType":{"id":5,"text":"html"}},{"id":417444,"rank":2,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/pp1885","text":"Professional Paper 1885","linkHelpText":"- Natural and Anthropogenic (Human-Made) Hexavalent Chromium, Cr(VI), in Groundwater near a Mapped Plume, Hinkley, California"},{"id":418433,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2023/1043/ofr20231043.xml"},{"id":418435,"rank":6,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2023/1043/covrthb.jpg"},{"id":417273,"rank":1,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2023/1043/images"},{"id":418431,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/of/2023/1043/versionHist.txt"},{"id":418432,"rank":4,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2023/1043/ofr20231043.pdf","text":"Report","size":"7 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":432299,"rank":7,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2023/1043/ofr20231043_spanish.pdf","text":"Report (Spanish)","size":"7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Open-File Report 2023-1043 in Spanish"}],"country":"United States","state":"California","city":"Hinkley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -117.45302333136905,\n              35.19277332893611\n            ],\n            [\n              -117.45302333136905,\n              34.55310182669082\n            ],\n            [\n              -116.77216386614738,\n              34.55310182669082\n            ],\n            [\n              -116.77216386614738,\n              35.19277332893611\n            ],\n            [\n              -117.45302333136905,\n              35.19277332893611\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","edition":"Version 1.0: May 2023; Version 1.1: June 2023","contact":"<p><a href=\"mailto:dc_ca@usgs.gov\" data-mce-href=\"mailto:dc_ca@usgs.gov\">Director</a>,<br><a href=\"https://ca.water.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://ca.water.usgs.gov\">California 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>6000 J Street, Placer Hall<br>Sacramento, California 95819</p>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2023-05-25","revisedDate":"2023-06-23","noUsgsAuthors":false,"publicationDate":"2023-05-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Izbicki, John A. 0000-0003-0816-4408 jaizbick@usgs.gov","orcid":"https://orcid.org/0000-0003-0816-4408","contributorId":152474,"corporation":false,"usgs":true,"family":"Izbicki","given":"John","email":"jaizbick@usgs.gov","middleInitial":"A.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":873288,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Groover, Krishangi D. 0000-0002-5805-8913 kgroover@usgs.gov","orcid":"https://orcid.org/0000-0002-5805-8913","contributorId":5626,"corporation":false,"usgs":true,"family":"Groover","given":"Krishangi","email":"kgroover@usgs.gov","middleInitial":"D.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":873289,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Seymour, Whitney A. 0000-0002-5999-6573 wseymour@usgs.gov","orcid":"https://orcid.org/0000-0002-5999-6573","contributorId":4131,"corporation":false,"usgs":true,"family":"Seymour","given":"Whitney","email":"wseymour@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":873290,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miller, David M. 0000-0003-3711-0441 dmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-3711-0441","contributorId":140769,"corporation":false,"usgs":true,"family":"Miller","given":"David M.","email":"dmiller@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":873291,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Warden, John G. 0000-0003-1384-458X","orcid":"https://orcid.org/0000-0003-1384-458X","contributorId":215846,"corporation":false,"usgs":true,"family":"Warden","given":"John","email":"","middleInitial":"G.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":873292,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Miller, Laurence G. 0000-0002-7807-3475 lgmiller@usgs.gov","orcid":"https://orcid.org/0000-0002-7807-3475","contributorId":2460,"corporation":false,"usgs":true,"family":"Miller","given":"Laurence G.","email":"lgmiller@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":873293,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70243859,"text":"dr1176 - 2023 - Bedrock-surface elevation and overburden thickness maps of the five boroughs, New York City, New York","interactions":[],"lastModifiedDate":"2024-01-10T18:28:03.66053","indexId":"dr1176","displayToPublicDate":"2023-05-25T10:45:00","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":"1176","displayTitle":"Bedrock-Surface Elevation and Overburden Thickness Maps of the Five Boroughs, New York City, New York","title":"Bedrock-surface elevation and overburden thickness maps of the five boroughs, New York City, New York","docAbstract":"<p>Digital maps of bedrock elevation and overburden thickness (depth to bedrock) were constructed for the five boroughs of New York City by the U.S. Geological Survey, in cooperation with the New York City Department of Design and Construction, from a compilation of historical and newly acquired data. Raster surfaces were interpolated from a point database containing data from more than 14,000 locations collected from a variety of sources. These data were collected between 1905 and 2021. These maps were constructed to supplement existing tools for the evaluation of potential construction of geothermal heat pump technology for buildings in New York City.</p><p>The bedrock underlying the study area ranges from easily weathered to very resistant to weathering. This differential susceptibility to erosion, along with numerous north-northwest-trending faults, is believed to control the shape of the bedrock surface. Glacial scouring of the bedrock during the Pleistocene Epoch is the most recent control on the topography of bedrock surfaces. Overburden thickness is an important consideration for evaluation and construction of geothermal systems.</p><p>Bedrock-surface elevation ranges from about 360 feet above sea level (in central Staten Island and northern Bronx) to 1,200 feet below sea level (in southern Queens) (North American Vertical Datum of 1988). The overburden thickness ranges from 0 foot thick at surface outcrops on Staten Island, Manhattan, and the Bronx, to 1,280 feet thick in southeastern Queens.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dr1176","collaboration":"Prepared in cooperation with the New York City Department of Design and Construction","usgsCitation":"DeMott, L.M., Stumm, F., and Finkelstein, J., 2023, Bedrock-surface elevation and overburden thickness maps of the five boroughs, New York City, New York: U.S. Geological Survey Data Report 1176, 22 p., https://doi.org/10.3133/dr1176.","productDescription":"Report: vi, 22 p.; 3 Data releases","numberOfPages":"22","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-138256","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":417351,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9S7Q68D","text":"USGS data release","linkHelpText":"Horizontal-to-vertical spectral ratio soundings and depth-to-bedrock data for bedrock surface elevation of the five boroughs, New York City, New York"},{"id":417346,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/dr/1176/coverthb.jpg"},{"id":417347,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/dr/1176/dr1176.pdf","text":"Report","size":"9.00 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DR 1176"},{"id":417348,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.er.usgs.gov/publication/dr1176/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"DR 1176"},{"id":417349,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/dr/1176/dr1176.XML"},{"id":417350,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/dr/1176/images/"},{"id":417352,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P911CSI3","text":"USGS data release","linkHelpText":"Geospatial data for bedrock surface elevation of the five boroughs, New York City, New York"},{"id":417353,"rank":8,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9O24NP7","text":"USGS data release","linkHelpText":"Continuous marine seismic-reflection surveys and derived depth-to-bedrock point data from the East River, New York City, New York"},{"id":424286,"rank":9,"type":{"id":22,"text":"Related Work"},"url":"https://ny.water.usgs.gov/maps/nycbedrock/","text":"NYC Bedrock and Groundwater Mapper"}],"contact":"<p><a href=\"mailto:dc_ny@usgs.gov\" data-mce-href=\"mailto:dc_ny@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/new-york-water-science-center\" data-mce-href=\"https://www.usgs.gov/centers/new-york-water-science-center\">New York Water Science Center</a><br>U.S. Geological Survey<br>425 Jordan Road<br>Troy, NY 12180–8349</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Database and Methods</li><li>Bedrock-Surface Elevation and Overburden Thickness</li><li>Limitations</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2023-05-25","noUsgsAuthors":false,"publicationDate":"2023-05-25","publicationStatus":"PW","contributors":{"authors":[{"text":"DeMott, Laura M. 0000-0003-1277-3484 ldemott@usgs.gov","orcid":"https://orcid.org/0000-0003-1277-3484","contributorId":293790,"corporation":false,"usgs":true,"family":"DeMott","given":"Laura","email":"ldemott@usgs.gov","middleInitial":"M.","affiliations":[{"id":48782,"text":"USGS New York Water Science Center","active":true,"usgs":false}],"preferred":true,"id":873521,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stumm, Frederick 0000-0002-5388-8811 fstumm@usgs.gov","orcid":"https://orcid.org/0000-0002-5388-8811","contributorId":1077,"corporation":false,"usgs":true,"family":"Stumm","given":"Frederick","email":"fstumm@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":873522,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Finkelstein, Jason S. 0000-0002-7496-7236","orcid":"https://orcid.org/0000-0002-7496-7236","contributorId":202452,"corporation":false,"usgs":true,"family":"Finkelstein","given":"Jason S.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":873523,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70243695,"text":"sir20235005 - 2023 - Moderate flood level scenarios—Synthetic storm-driven flood-inundation maps for coastal communities in 10 New Jersey counties","interactions":[],"lastModifiedDate":"2026-03-02T17:59:11.412021","indexId":"sir20235005","displayToPublicDate":"2023-05-25T09:05:00","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-5005","displayTitle":"Moderate Flood Level Scenarios: Synthetic Storm-Driven Flood-Inundation Maps for Coastal Communities in 10 New Jersey Counties","title":"Moderate flood level scenarios—Synthetic storm-driven flood-inundation maps for coastal communities in 10 New Jersey counties","docAbstract":"<p>The U.S. Geological Survey (USGS), in cooperation with the New Jersey Department of Environmental Protection (NJDEP) and the New Jersey Office of Emergency Management (NJOEM), created digital flood-inundation maps for approximately 1,430 square miles of the New Jersey coast and tidewaters through 10 coastal counties stretching from Cumberland County through Bergen County, New Jersey. The maps depict extent and depth estimates of coastal flooding corresponding to selected tidal elevations recorded by 25 real-time USGS tide gages located within the study area. The flood-inundation maps can be accessed through the USGS Interagency Flood Risk Management (InFRM) Flood Decision Support Toolbox (FDST).</p><p>Previously published modeled data were utilized from the coupled ADvanced CIRCulation Model (ADCIRC) and Simulating Waves Nearshore (SWAN) model. Simulated tropical storm events were selected based on parameters including landfall location or closest approach location, maximum wind speed, central pressure, and radii of winds. Two storm events were selected per tide gage providing two “scenarios” and accompanying inundation-map libraries for each gage. Flood-inundation maps reflect between 9 to 30 stages (elevations) at each tide gage that correspond to areal extents and depths for ADCIRC-SWAN storm time steps extracted from modeled hydrographs at the gage locations. Water-surface elevations from ADCIRC-SWAN node points extending through each tide gage station extent were used to interpolate a water surface. Combining these surfaces with a geographic information system (GIS) topobathymetric digital elevation model (TBDEM) delineated the area flooded by coastal waters at each tide gage elevation.</p><p>The availability of these maps to visualize potential inundation for selected water levels along with real-time water level data available online from USGS tide gages, coastal impact statements, and forecasted tide elevations from the National Weather Service (NWS) will provide emergency management personnel and residents with a link between numeric and text warning information and images of estimated inundation extents in their community. User selected display of inundation allows early response activities to NWS forecasted water level elevations or mitigation planning by selecting targeted water levels and planning critical pre-flood activities such as building elevations, early traffic pattern changes because of neighborhood building inundation levels, improved understanding about when major road access is affected, as well as for post-flood recovery efforts.</p><p>A subsequent analysis of several community metrics including total structures, structure density, percent of buildings inundated, and roads and bridges affected by flooding was used to evaluate moderate flooding impacts among the mapped station extents. Initial comparisons are presented to show the variability of these characteristics within each mapped station extent then extended to evaluate impacts from moderate flooding on these same areas. The analysis used simulated inundation layers at the moderate flood stage to investigate the magnitude of inundation on building structures and major roads among the mapped station extents. Experimental equations were developed to begin testing if a mathematical equation could help identify communities that were disproportionately impacted at moderate flood stage. The community analysis of impacts to moderate flooding based on these inundation scenario maps should provide community leaders and local and state planning officials with tools to better visualize and understand how flooding begins to disrupt and damage building structures and major roads as a surrogate for direct increased risk to human life and property.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235005","collaboration":"Prepared in cooperation with New Jersey Department of Environmental Protection","usgsCitation":"Suro, T.P., Niemoczynski, M.J., Boetsma, A., and Niemoczynski, L.M., 2023, Moderate flood level scenarios—Synthetic storm-driven flood-inundation maps for coastal communities in 10 New Jersey counties: U.S. Geological Survey Scientific Investigations Report 2023–5005, 49 p., https://doi.org/10.3133/sir20235005.","productDescription":"Report: viii, 49 p.; Data 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08648</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Purpose and Scope</li><li>Description of Study Area</li><li>Previous Studies</li><li>Site Selection</li><li>Creation of Flood-Inundation Map Libraries</li><li>Evaluating National Weather Service Coastal Impact Statements</li><li>Flood-Inundation Map Delivery</li><li>Summary</li><li>References Cited</li><li>Appendix 1. Review of Major Communities and General Inundation Impacts to Building Structures Using Simulated Moderate Flood Area Extents and National Weather Service Moderate Flood Stage</li></ul>","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2023-05-25","noUsgsAuthors":false,"publicationDate":"2023-05-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Suro, Thomas P. 0000-0002-9476-6829 tsuro@usgs.gov","orcid":"https://orcid.org/0000-0002-9476-6829","contributorId":2841,"corporation":false,"usgs":true,"family":"Suro","given":"Thomas","email":"tsuro@usgs.gov","middleInitial":"P.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":872934,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Niemoczynski, Michal J. 0000-0003-0880-7354 mniemocz@usgs.gov","orcid":"https://orcid.org/0000-0003-0880-7354","contributorId":5840,"corporation":false,"usgs":true,"family":"Niemoczynski","given":"Michal","email":"mniemocz@usgs.gov","middleInitial":"J.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":872935,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boetsma, Anna 0000-0002-4142-8199","orcid":"https://orcid.org/0000-0002-4142-8199","contributorId":223460,"corporation":false,"usgs":true,"family":"Boetsma","given":"Anna","email":"","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":872936,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Niemoczynski, Lukasz M. 0000-0003-2008-9148","orcid":"https://orcid.org/0000-0003-2008-9148","contributorId":222171,"corporation":false,"usgs":true,"family":"Niemoczynski","given":"Lukasz","middleInitial":"M.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":872937,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70247942,"text":"70247942 - 2023 - Comparison of historic to future without action (FWOA) land change","interactions":[],"lastModifiedDate":"2023-08-25T13:59:00.018822","indexId":"70247942","displayToPublicDate":"2023-05-25T08:52:55","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"chapter":"Attachment D6","title":"Comparison of historic to future without action (FWOA) land change","docAbstract":"One of the primary purposes of the 2023 Coastal Master Plan Integrated Compartment Model (ICM) is to forecast potential changes in coastal wetland area under varying environmental and restoration scenarios. To validate the model performance, historical analyses of observed wetland changes are needed for comparison to hindcast model runs. To generate these historical analyses, this effort has analyzed satellite imagery from 1985 through 2020 to form a basis of comparison for the hindcast model results.\n\nWetland change is a dynamic process which varies in time and space as a result of multiple compounding and interacting stressors. Wetland area is a fluid concept which can vary depending upon the definition of “wetland” and environmental conditions at the time of acquisition of imagery utilized to estimate land area. Estimates of wetland area are known to vary by more than +/- 5% as a result of nothing more than water level variability.\n\nOften, simplistic wetland change analyses are conducted using simple pre- and post- assessments. These assessments create two wetland classifications at two points in time, difference the two, and assume any change between the two assessments is wetland change. These types of assessments ignore parameters like water level variability, lack temporal resolution to account for said variability, and as such, are often prone to misinterpreting normal environmental variability as wetland change.\n\nThe wetland area change analyses presented here take a multitemporal approach to assessing wetland area change. Annual classifications were created from 1985-2020, and wetland area trends were fit statistically with lines which generalize trends through time. Additionally, the statistical methods utilized here allow for the calculation of confidence intervals with regard to wetland area, which are vital for the validation of model output.\n\nThe analyses presented here provide a comprehensive historical analysis of wetland change by hydrologic compartment from 1985 through 2020. More importantly, these analyses provide a basis by which to assess hindcasting scenarios of the master plan model as it relates to wetland area change. The results from this effort can be utilized to assess model performance and quantify the confidence which may be placed in outputs of projected wetland area.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"2023 Coastal Master Plan","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"Louisiana Coastal Protection and Restoration Authority","collaboration":"Louisiana Coastal Protection and Restoration Authority","usgsCitation":"Couvillion, B., 2023, Comparison of historic to future without action (FWOA) land change (Version 3), 1300 p.","productDescription":"1300 p.","ipdsId":"IP-144531","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":420153,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":420143,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://coastal.la.gov/our-plan/2023-coastal-master-plan/2023-plan-appendices/"}],"country":"United States","state":"Louisiana","otherGeospatial":"Gulf of Mexico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -88.84855829076659,\n              29.93277612251312\n            ],\n            [\n              -89.59971499975572,\n              30.28731039019054\n            ],\n            [\n              -90.23635934228523,\n              30.560550706997276\n            ],\n            [\n              -91.57502577453536,\n              30.872884459383584\n            ],\n            [\n              -91.89609672665068,\n              30.87383279987627\n            ],\n            [\n              -91.56507428125721,\n              30.30813108484891\n            ],\n            [\n              -93.66683541660686,\n              30.25302437285586\n            ],\n            [\n              -93.94521888014518,\n              29.586089236393093\n            ],\n            [\n              -91.37343665721247,\n              29.06840143481824\n            ],\n            [\n              -89.04531618635953,\n              28.84335507024474\n            ],\n            [\n              -88.84855829076659,\n              29.93277612251312\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","edition":"Version 3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Couvillion, Brady 0000-0001-5323-1687","orcid":"https://orcid.org/0000-0001-5323-1687","contributorId":222810,"corporation":false,"usgs":true,"family":"Couvillion","given":"Brady","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":881152,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70243907,"text":"70243907 - 2023 - Establishing an in vitro model to assess the toxicity of 6PPD-quinone and other tire wear transformation products","interactions":[],"lastModifiedDate":"2023-06-27T16:58:24.03837","indexId":"70243907","displayToPublicDate":"2023-05-25T08:08:15","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7485,"text":"Environmental Science and Technology Letters","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Establishing an <i>in vitro</i> model to assess the toxicity of 6PPD-quinone and other tire wear transformation products","title":"Establishing an in vitro model to assess the toxicity of 6PPD-quinone and other tire wear transformation products","docAbstract":"<p><span>The tire wear transformation product 6PPD-quinone (6PPDQ) has been implicated as the causative factor for broad scale mortality events for coho salmon in the Pacific Northwest. Highly variable sensitivity to 6PPDQ in closely related salmonids complicates efforts to evaluate the broader toxicological impacts to aquatic ecosystems. Our goals were to (1) validate the large range of&nbsp;</span><i>in vivo</i><span>&nbsp;species sensitivities reported for coho, Chinook, and sockeye salmon and (2) develop an&nbsp;</span><i>in vitro</i><span>&nbsp;platform for assessing 6PPDQ toxicity.&nbsp;</span><i>In vivo</i><span>&nbsp;studies confirmed the acute sensitivity of juvenile coho (12 h LC</span><sub>50</sub><span>&nbsp;= 80.4 ng/L) and demonstrated that sockeye salmon were not vulnerable to mortality. Chinook salmon were sensitive to 6PPDQ mortality at initial concentrations &gt;25 μg/L, ∼10-fold greater than reported environmental measurements.&nbsp;</span><i>In vitro</i><span>, the coho salmon cell line CSE-119 was acutely sensitive to 6PPDQ (metabolic EC</span><sub>50</sub><span>&nbsp;= 7.9 μg/L, cytotoxicity EC</span><sub>50</sub><span>&nbsp;= 6.1 μg/L). Analogous Chinook (CHSE-214) and sockeye salmon (SSE-5) cell lines were nonresponsive in both assays, and rainbow trout RTG-2 cells began showing metabolic effects at 68 μg/L (EC</span><sub>5</sub><span>). Recreation of species-specific 6PPDQ sensitivity&nbsp;</span><i>in vitro</i><span>&nbsp;implicates conserved modes of action in CSE-119 that could be utilized for mechanistic studies of 6PPDQ toxicity and screening of other PPD transformation products.</span></p>","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.estlett.3c00196","usgsCitation":"Greer, J.B., Dalsky, E.M., Lane, R.F., and Hansen, J.D., 2023, Establishing an in vitro model to assess the toxicity of 6PPD-quinone and other tire wear transformation products: Environmental Science and Technology Letters, v. 10, no. 6, p. 533-537, https://doi.org/10.1021/acs.estlett.3c00196.","productDescription":"5 p.","startPage":"533","endPage":"537","ipdsId":"IP-151440","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":443356,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.estlett.3c00196","text":"Publisher Index Page"},{"id":435317,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P98HOI3I","text":"USGS data release","linkHelpText":"Assessing cell line models for species differences in 6PPD-quinone sensitivity"},{"id":417424,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"6","noUsgsAuthors":false,"publicationDate":"2023-05-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Greer, Justin Blaine 0000-0001-6660-9976","orcid":"https://orcid.org/0000-0001-6660-9976","contributorId":265183,"corporation":false,"usgs":true,"family":"Greer","given":"Justin","email":"","middleInitial":"Blaine","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":873696,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dalsky, Ellie Maureen 0000-0001-8299-7198","orcid":"https://orcid.org/0000-0001-8299-7198","contributorId":265182,"corporation":false,"usgs":true,"family":"Dalsky","given":"Ellie","email":"","middleInitial":"Maureen","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":873697,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lane, Rachael F. 0000-0001-9202-0612","orcid":"https://orcid.org/0000-0001-9202-0612","contributorId":222471,"corporation":false,"usgs":true,"family":"Lane","given":"Rachael","email":"","middleInitial":"F.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":873698,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hansen, John D. 0000-0002-3006-2734","orcid":"https://orcid.org/0000-0002-3006-2734","contributorId":220725,"corporation":false,"usgs":true,"family":"Hansen","given":"John","middleInitial":"D.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":873699,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70243912,"text":"70243912 - 2023 - The truth is in the stream: Use of tracer techniques and synoptic sampling to evaluate metal loading and remedial options in a hydrologically complex setting","interactions":[],"lastModifiedDate":"2023-05-25T12:35:05.358711","indexId":"70243912","displayToPublicDate":"2023-05-25T07:06:35","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"The truth is in the stream: Use of tracer techniques and synoptic sampling to evaluate metal loading and remedial options in a hydrologically complex setting","docAbstract":"Two synoptic sampling campaigns were conducted to quantify metal loading to Illinois Gulch, a\nsmall stream affected by historical mining activities. The first campaign was designed to\ndetermine the degree to which Illinois Gulch loses water to the underlying mine workings, and to\ndetermine the effect of these losses on observed metal loads. The second campaign was designed to evaluate metal loading within Iron Springs, a subwatershed that was responsible for the majority of the metal loading observed during the first campaign. A continuous, constant-rate\ninjection of a conservative tracer was initiated prior to both sampling campaigns and maintained\nthroughout the duration of each study. Tracer concentrations were subsequently used to determine streamflow in gaining stream reaches using the tracer-dilution method, and as an indicator of hydrologic connections between Illinois Gulch and subsurface mine workings. Streamflow losses to the mine workings were quantified during the first campaign using a series of slug additions in which specific conductivity readings were used as a surrogate for tracer concentration. Data from the continuous injections and slug additions were combined to develop spatial streamflow profiles along each study reach. Streamflow estimates were multiplied by observed metal concentrations to yield spatial profiles of metal load that were in turn used to quantify and rank metal sources. Study results indicate that Illinois Gulch loses water to subsurface mine workings and suggest that remedial measures that reduce flow loss (e.g. channel lining) could lessen metal loading from the Iron Springs area. The primary sources of metals to Illinois Gulch include diffuse springs and groundwater, and a draining mine adit. Diffuse sources were determined to have a much larger effect on water quality than other sources that had been the subject of previous investigations due to their visual appearance, supporting the idea that “the truth is in the stream”. The overall approach of combining spatially intensive sampling with a rigorous hydrological characterization is applicable to non-mining constituents such as nutrients and pesticides.","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2023.162458","usgsCitation":"Runkel, R.L., Verplanck, P., Walton-Day, K., McCleskey, R., and Byrne, P., 2023, The truth is in the stream: Use of tracer techniques and synoptic sampling to evaluate metal loading and remedial options in a hydrologically complex setting: Science of the Total Environment, v. 876, 162458, 15 p., https://doi.org/10.1016/j.scitotenv.2023.162458.","productDescription":"162458, 15 p.","ipdsId":"IP-147276","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":498440,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://orcid.org/0000-0002-2699-052X","text":"External Repository"},{"id":417422,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Breckenridge District, Illinois Gulch","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -106.03588092628337,\n              39.47184696761008\n            ],\n            [\n              -106.03586531996221,\n              39.47158193097033\n            ],\n            [\n              -106.0351162165624,\n              39.47134098769499\n            ],\n            [\n              -106.03369604136695,\n              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   }\n  ]\n}","volume":"876","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Runkel, Robert L. 0000-0003-3220-481X runkel@usgs.gov","orcid":"https://orcid.org/0000-0003-3220-481X","contributorId":685,"corporation":false,"usgs":true,"family":"Runkel","given":"Robert","email":"runkel@usgs.gov","middleInitial":"L.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":873716,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Verplanck, Philip L. 0000-0002-3653-6419","orcid":"https://orcid.org/0000-0002-3653-6419","contributorId":212813,"corporation":false,"usgs":true,"family":"Verplanck","given":"Philip","middleInitial":"L.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":873717,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walton-Day, Katherine 0000-0002-9146-6193 kwaltond@usgs.gov","orcid":"https://orcid.org/0000-0002-9146-6193","contributorId":184043,"corporation":false,"usgs":true,"family":"Walton-Day","given":"Katherine","email":"kwaltond@usgs.gov","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":873718,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McCleskey, R. Blaine 0000-0002-2521-8052","orcid":"https://orcid.org/0000-0002-2521-8052","contributorId":205663,"corporation":false,"usgs":true,"family":"McCleskey","given":"R. Blaine","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":873719,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Byrne, Patrick","contributorId":192845,"corporation":false,"usgs":false,"family":"Byrne","given":"Patrick","affiliations":[],"preferred":false,"id":873720,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70243926,"text":"70243926 - 2023 - Gene expression and wildlife health: Varied interpretations based on perspective","interactions":[],"lastModifiedDate":"2023-05-25T11:45:46.172043","indexId":"70243926","displayToPublicDate":"2023-05-25T06:33:18","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3910,"text":"Frontiers in Ecology and Evolution","onlineIssn":"2296-701X","active":true,"publicationSubtype":{"id":10}},"title":"Gene expression and wildlife health: Varied interpretations based on perspective","docAbstract":"<p><span>We evaluated wildlife population health from the perspective of statistical means vs. variances. We outlined the choices necessary to provide the framework for our study. These consisted of spatial and temporal boundaries (e.g., choice of sentinel species, populations, time frame), measurement techniques (molecular to population level), and appropriate statistical analyses. We chose to assess the health of 19 sea otter populations, located in the north Pacific from the Aleutian Islands, AK, to Santa Barbara, CA, and varying in population growth rates and length of occupancy. Our focal metric was gene expression (i.e., mRNA transcripts) data that we had previously generated across sea otter populations as a measure of population health. We used statistical methods with different approaches (i.e., means vs. variances) and examined the subsequent interpretive outcomes and how these influence our assessment of “health.” Interpretations based on analyses using variances versus means overlapped to some degree. In general, sea otter populations with low variation in gene expression were limited by food resources and at or near carrying capacity. In populations where the variation in gene expression was moderate or high, four out of five populations were increasing in abundance, or had been recently increasing. Where we had additional information on sources of stressors at the level of the population, we were able to draw inferences from those stressors to specific gene expression results. For example, gene expression patterns of sea otters from Western Prince William Sound were consistent with long term exposure to petroleum hydrocarbons, whereas in Kachemak Bay, patterns were consistent with exposure to algal toxins. Ultimately, determination of population or ecosystem health will be most informative when multiple metrics are examined across disciplines in the context of specific scenarios and goals.</span></p>","language":"English","publisher":"Frontiers Media","doi":"10.3389/fevo.2023.1157700","usgsCitation":"Bowen, L., Yee, J.L., Bodkin, J., Waters-Dynes, S.C., Murray, M.J., Coletti, H., Ballachey, B.E., Monson, D., and Miles, A.K., 2023, Gene expression and wildlife health: Varied interpretations based on perspective: Frontiers in Ecology and Evolution, v. 11, 1157700, 18 p., https://doi.org/10.3389/fevo.2023.1157700.","productDescription":"1157700, 18 p.","ipdsId":"IP-152336","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":443368,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fevo.2023.1157700","text":"Publisher 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0000-0003-1641-4438","orcid":"https://orcid.org/0000-0003-1641-4438","contributorId":264733,"corporation":false,"usgs":false,"family":"Bodkin","given":"James L.","affiliations":[{"id":40616,"text":"former USGS PI","active":true,"usgs":false}],"preferred":false,"id":873750,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Waters-Dynes, Shannon C. 0000-0002-9707-4684 swaters@usgs.gov","orcid":"https://orcid.org/0000-0002-9707-4684","contributorId":5826,"corporation":false,"usgs":true,"family":"Waters-Dynes","given":"Shannon","email":"swaters@usgs.gov","middleInitial":"C.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":873751,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Murray, Michael J.","contributorId":206852,"corporation":false,"usgs":false,"family":"Murray","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":37418,"text":"Monterey Bay Aquarium, Monterey, CA","active":true,"usgs":false}],"preferred":false,"id":873752,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Coletti, Heather","contributorId":258849,"corporation":false,"usgs":false,"family":"Coletti","given":"Heather","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":873753,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ballachey, Brenda E. 0000-0003-1855-9171 bballachey@usgs.gov","orcid":"https://orcid.org/0000-0003-1855-9171","contributorId":2966,"corporation":false,"usgs":true,"family":"Ballachey","given":"Brenda","email":"bballachey@usgs.gov","middleInitial":"E.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":873754,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Monson, Daniel 0000-0002-4593-5673 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Keith 0000-0002-3108-808X keith_miles@usgs.gov","orcid":"https://orcid.org/0000-0002-3108-808X","contributorId":196,"corporation":false,"usgs":true,"family":"Miles","given":"A.","email":"keith_miles@usgs.gov","middleInitial":"Keith","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":873756,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70256461,"text":"70256461 - 2023 - Flight capacity and response to habitat drying of endemic diving beetles (Coleoptera: Dytiscidae) in Arkansas (USA)","interactions":[],"lastModifiedDate":"2024-08-05T20:55:08.556983","indexId":"70256461","displayToPublicDate":"2023-05-24T15:48:32","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":18324,"text":"Hydrobiology","active":true,"publicationSubtype":{"id":10}},"title":"Flight capacity and response to habitat drying of endemic diving beetles (Coleoptera: Dytiscidae) in Arkansas (USA)","docAbstract":"<p><span>The ability to colonize new habitat is essential for wild populations affected by disturbance or other forms of habitat change. For aquatic insects in small streams, overland flight is an important strategy for dispersal when barriers to in-stream migration exist and when populations are isolated in upland habitats. Two Ozark-endemic water beetles (</span><i><span class=\"html-italic\">Heterosternuta sulphuria</span></i><span>&nbsp;and&nbsp;</span><i><span class=\"html-italic\">Heterosternuta phoebeae</span></i><span>) have shown little overlap in distributions, with the former frequently occurring in small upland watersheds and the latter occurring in aquatic habitats farther downstream in larger watersheds. Because&nbsp;</span><i><span class=\"html-italic\">H. sulphuria</span></i><span>&nbsp;has been associated with perennial aquatic habitats, we hypothesized that&nbsp;</span><i><span class=\"html-italic\">H. sulphuria</span></i><span>&nbsp;individuals could exhibit low capacity for flight, thereby affecting population distributions over time. Laboratory flight observations showed that zero individuals of&nbsp;</span><i><span class=\"html-italic\">H. sulphuria</span></i><span>&nbsp;flew (</span><span class=\"html-italic\">n</span><span>&nbsp;= 67), whereas 17 of 76 individuals of&nbsp;</span><i><span class=\"html-italic\">H. phoebeae</span></i><span>&nbsp;were observed to fly. Stream habitat drying experiments provided further evidence of the weak capacity for flight and overland migration of&nbsp;</span><i><span class=\"html-italic\">H. sulphuria</span></i><span>, with low probabilities of survivorship in microhabitats exposed to drying. Weak flight capacity and apparent intolerance to habitat drying have important implications for the evolutionary history and conservation of&nbsp;</span><i><span class=\"html-italic\">H. sulphuria</span></i><span>&nbsp;in small Ozark streams exposed to variable flow regimes and stream margins vulnerable to disturbances.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/hydrobiology2020023","usgsCitation":"Longing, S., and Magoulick, D.D., 2023, Flight capacity and response to habitat drying of endemic diving beetles (Coleoptera: Dytiscidae) in Arkansas (USA): Hydrobiology, v. 2, no. 2, p. 354-362, https://doi.org/10.3390/hydrobiology2020023.","productDescription":"9 p.","startPage":"354","endPage":"362","ipdsId":"IP-148030","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":443372,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/hydrobiology2020023","text":"Publisher Index 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,{"id":70243887,"text":"70243887 - 2023 - Recognizing political influences in participatory social-ecological systems modeling","interactions":[],"lastModifiedDate":"2023-05-24T19:19:55.098091","indexId":"70243887","displayToPublicDate":"2023-05-24T14:05:52","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":14448,"text":"Socio-Environmental Systems Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Recognizing political influences in participatory social-ecological systems modeling","docAbstract":"<p><span>Stakeholder participation in social-ecological systems (SES) modeling is increasingly considered a desirable way to elicit diverse sources of knowledge about SES behavior and to promote inclusive decision-making in SES. Understanding how participatory modeling processes function in the context of long-term adaptive management of SES may allow for better design of participatory processes to achieve the intended outcomes of inclusionary knowledge, representativeness, and social learning, while avoiding unintended outcomes. Long-term adaptive management contexts often include political influences -- attempts to shift or preserve power structures and authority, and efforts to represent the political and economic interests of stakeholders -- in the computer models that are used to shape policy making and implementation. In this research, we examine a period that included a major transition in the watershed model used for management of the Chesapeake Bay in the United States. The Chesapeake Bay watershed model has been in development since the 1980s, and is considered by many to be an exemplary case of participatory modeling. We use documentary analysis and interviews with participants involved in the model application and development transition to reveal a variety of ways in which participatory modeling may be subject to different kinds of political influences, some of which resulted in unintended outcomes, including: perceptions of difficulty updating the model in substantive ways, “gaming” of the model/participatory process by stakeholders, and increasing resistance against considering uncertainty in the system not captured by the model. This research suggests unintended or negative outcomes may be associated with both participatory decision-making and stakeholder learning even though they are so often touted as the benefits of participatory modeling. We end with a hypothesis that further development of a theory of computer model governance to bridge model impact and broader theories of environmental governance at the science-policy interface may result in improved SES modeling outcomes.</span></p>","language":"English","publisher":"International Environmental Modelling and Software Society","doi":"10.18174/sesmo.18509","usgsCitation":"Lim, T.C., Glynn, P.D., Shenk, G.W., Bitterman, P., Guillaume, J., Little, J., and Webster, D.G., 2023, Recognizing political influences in participatory social-ecological systems modeling: Socio-Environmental Systems Modelling, v. 5, 18509, 25 p., https://doi.org/10.18174/sesmo.18509.","productDescription":"18509, 25 p.","ipdsId":"IP-147282","costCenters":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true},{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"links":[{"id":443374,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.18174/sesmo.18509","text":"Publisher Index Page"},{"id":417408,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland, Virginia","otherGeospatial":"Chesapeake Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -75.51635702888042,\n              37.912980532966955\n            ],\n            [\n              -75.71280241735982,\n              38.58150889183236\n            ],\n            [\n              -75.95290230901038,\n              38.64120407293515\n            ],\n            [\n              -75.77828418591723,\n              39.269223836039686\n            ],\n            [\n              -75.64732059359784,\n              39.57273156992801\n            ],\n            [\n              -75.86559324746412,\n              39.723989493914246\n            ],\n            [\n              -76.17117496287733,\n              39.757557416910515\n            ],\n            [\n              -76.520411209063,\n              39.438002411462605\n            ],\n            [\n              -76.65137480138303,\n              39.18468171617553\n            ],\n            [\n              -76.79325202639652,\n              38.717881959277776\n            ],\n            [\n              -77.08792010911627,\n              38.74342299584799\n            ],\n            [\n              -77.39350182452881,\n              38.59003985313274\n            ],\n            [\n              -77.38258819183537,\n              37.12528463444586\n            ],\n            [\n              -76.11660679941075,\n              36.74144568362692\n            ],\n            [\n              -75.51635702888042,\n              37.912980532966955\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"5","noUsgsAuthors":false,"publicationDate":"2023-05-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Lim, Theodore C. 0000-0002-7896-4964","orcid":"https://orcid.org/0000-0002-7896-4964","contributorId":305702,"corporation":false,"usgs":true,"family":"Lim","given":"Theodore","email":"","middleInitial":"C.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":873621,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Glynn, Pierre D. 0000-0001-8804-7003","orcid":"https://orcid.org/0000-0001-8804-7003","contributorId":305703,"corporation":false,"usgs":false,"family":"Glynn","given":"Pierre","email":"","middleInitial":"D.","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":873622,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shenk, Gary W. 0000-0001-6451-2513","orcid":"https://orcid.org/0000-0001-6451-2513","contributorId":225440,"corporation":false,"usgs":true,"family":"Shenk","given":"Gary","email":"","middleInitial":"W.","affiliations":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"preferred":true,"id":873623,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bitterman, Patrick 0000-0002-2715-606X","orcid":"https://orcid.org/0000-0002-2715-606X","contributorId":305704,"corporation":false,"usgs":false,"family":"Bitterman","given":"Patrick","email":"","affiliations":[{"id":36892,"text":"University of Nebraska","active":true,"usgs":false}],"preferred":false,"id":873624,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Guillaume, Joseph H. A.","contributorId":248835,"corporation":false,"usgs":false,"family":"Guillaume","given":"Joseph H. A.","affiliations":[{"id":50037,"text":"Water and Development Research Group, Aalto University, Finland","active":true,"usgs":false}],"preferred":false,"id":873625,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Little, John","contributorId":305705,"corporation":false,"usgs":false,"family":"Little","given":"John","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":873626,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Webster, D. G.","contributorId":305706,"corporation":false,"usgs":false,"family":"Webster","given":"D.","email":"","middleInitial":"G.","affiliations":[{"id":36404,"text":"Dartmouth University","active":true,"usgs":false}],"preferred":false,"id":873627,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70243873,"text":"70243873 - 2023 - Sensitivity of the Penman-Monteith reference evapotranspiration equation to meteorological variables for Puerto Rico","interactions":[],"lastModifiedDate":"2023-05-24T19:04:03.81162","indexId":"70243873","displayToPublicDate":"2023-05-24T13:55:34","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10778,"text":"Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Sensitivity of the Penman-Monteith reference evapotranspiration equation to meteorological variables for Puerto Rico","docAbstract":"<p><span>Spatiotemporal variations in reference evapotranspiration (</span><span class=\"html-italic\"><i>ET<sub>o</sub></i>)</span><span>&nbsp;are sensitive to the meteorological data used in its estimation. The sensitivity of the ASCE standardized&nbsp;</span><i><span class=\"html-italic\">ET<sub>o</sub></span></i><span>&nbsp;equation to meteorological variables from GOES-PRWEB dataset was evaluated for the island of Puerto Rico. Island wide,&nbsp;</span><i><span class=\"html-italic\">ET<sub>o</sub></span></i><span>&nbsp;is most sensitive to daily mean relative humidity (</span><i><span class=\"html-italic\">RH<sub>mean</sub></span></i><span>), followed by solar radiation, daily maximum (</span><i><span class=\"html-italic\">T<sub>max</sub></span></i><span>) and minimum (</span><i><span class=\"html-italic\">T<sub>min</sub></span></i><span>) air temperatures, and wind speed with average absolute relative sensitivity coefficients (SCs) of 0.98, 0.57, 0.50, 0.27, and 0.12, respectively. The derived SCs guided the prioritization of bias correction of meteorological data for&nbsp;</span><i><span class=\"html-italic\">ET<sub>o</sub></span></i><span>&nbsp;estimation from two downscaled climate models (CNRM and CESM). The SCs were applied to evaluate how meteorological variables contribute to model errors and projected future changes in&nbsp;</span><i><span class=\"html-italic\">ET<sub>o</sub></span></i><span>&nbsp;from 1985–2005 to 2040–2060 at irrigated farms in the south. Both models project a 5.6% average increase in annual&nbsp;</span><i><span class=\"html-italic\">ET<sub>o</sub></span></i><span>&nbsp;due to projected increases in&nbsp;</span><i><span class=\"html-italic\">T<sub>max</sub></span></i><span>&nbsp;and&nbsp;</span><i><span class=\"html-italic\">T<sub>min</sub></span></i><span>&nbsp;and a decrease in&nbsp;</span><i><span class=\"html-italic\">RH<sub>mean</sub></span></i><span>. Despite&nbsp;</span><span class=\"html-italic\">ET<sub>o</sub></span><span>&nbsp;being most sensitive to relative changes in&nbsp;</span><i><span class=\"html-italic\">RH<sub>mean</sub></span></i><span>, the contributions from&nbsp;</span><i><span class=\"html-italic\">RH<sub>mean</sub></span></i><span>,&nbsp;</span><i><span class=\"html-italic\">T<sub>max</sub></span></i><span>, and&nbsp;</span><i><span class=\"html-italic\">T<sub>min</sub></span></i><span>&nbsp;to future changes in&nbsp;</span><i><span class=\"html-italic\">ET<sub>o</sub></span></i><span>&nbsp;are similar. CESM projects increases in&nbsp;</span><i><span class=\"html-italic\">ET<sub>o</sub></span></i><span>&nbsp;in March, November, and December, increasing the potential for crop water stress. Study limitations are discussed.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/hydrology10050101","usgsCitation":"Irizarry-Ortiz, M.M., and Harmsen, E., 2023, Sensitivity of the Penman-Monteith reference evapotranspiration equation to meteorological variables for Puerto Rico: Hydrology, v. 10, no. 5, 101, 28 p., https://doi.org/10.3390/hydrology10050101.","productDescription":"101, 28 p.","ipdsId":"IP-145068","costCenters":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"links":[{"id":443376,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/hydrology10050101","text":"Publisher Index Page"},{"id":417407,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Puerto 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,{"id":70243978,"text":"70243978 - 2023 - Paleohydrologic history of pluvial lake San Agustin, New Mexico: Tracking changing effective moisture in southwest North America through the last glacial transition","interactions":[],"lastModifiedDate":"2023-08-10T13:39:15.691752","indexId":"70243978","displayToPublicDate":"2023-05-24T09:29:58","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3219,"text":"Quaternary Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Paleohydrologic history of pluvial lake San Agustin, New Mexico: Tracking changing effective moisture in southwest North America through the last glacial transition","docAbstract":"<p><span>Paleoclimate records across the Intermountain West region of North America show significant regional variation in timing and magnitude of wet conditions that accompanied the last glacial-interglacial transition. To understand the climate controls on paleohydrologic change, well-dated records are needed across the region. The Plains of San Agustin (New Mexico, USA) is a closed-basin watershed of the American Southwest influenced by both winter westerly and summer North American Monsoon precipitation. The flat valley floors of the Plains contain lake and groundwater discharge deposits that record multiple periods of past wet climate. We present a record of hydroclimate for the past 26,000 years based on radiocarbon, U–Th series, and OSL dating of these deposits and stratigraphic correlation across the three sub-basins of the lake system. We find that two major lake oscillations occurred, coincident with the global Last Glacial Maximum (∼23–18 ka) and with Heinrich Stadial 1 (∼17–14 ka). The LGM lake cycle created a deep lake in the lowermost sub-basin, fed by marsh/lake overflow in the upper sub-basins. The Heinrich Stadial 1 wet interval attained the highest recorded lake level between ∼17.0 and 15.3 ka, merging the lower two sub-basins into one lake. Both lake cycles agree well in timing and magnitude with other lake-based records from the southwestern U.S., supporting previous interpretations that a south-shifted cool season storm track brought a dipole-like pattern of enhanced moisture to the southwest at the expense of drier conditions in the northwest during the LGM and deglaciation. A transition from lake to groundwater discharge conditions followed during the Bølling-Allerød (14.7–12.9 ka) across the study area. Wet meadows prevailed in the lower sub-basin during the Younger Dryas (12.9–11.7 ka), with marsh and open lake conditions in the upper and middle sub-basins, respectively. During the early Holocene, discrete wet intervals are recorded by ages for wet meadow deposits in all sub-basins with centennial-millennial frequency at 9.9, 8.8, 8.2 ka. These events agree well with other Intermountain West records showing wetter-than-present conditions prior to 8 ka. Two additional wet periods, centered at 6.8 and 5.4 ka, occurred during the driest known interval of the middle Holocene, and likely were partly supported in the Plains of San Agustin by summer moisture associated with the peak strength of the North American Monsoon. Our record highlights that both winter and summer moisture support water resources in New Mexico watersheds.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.quascirev.2023.108110","usgsCitation":"Hudson, A.M., Quade, J., Holliday, V.T., Fenerty, B., Bright, J., Gray, H.J., and Mahan, S.A., 2023, Paleohydrologic history of pluvial lake San Agustin, New Mexico: Tracking changing effective moisture in southwest North America through the last glacial transition: Quaternary Science Reviews, v. 310, 108110, 26 p., https://doi.org/10.1016/j.quascirev.2023.108110.","productDescription":"108110, 26 p.","ipdsId":"IP-149581","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":435318,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P92RE8VO","text":"USGS data release","linkHelpText":"Geochronologic and isotopic data for Paleohydrologic history of Pluvial Lake San Agustin, New Mexico"},{"id":417530,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","otherGeospatial":"Plains of San Agustin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -107.4,\n              34.25\n            ],\n            [\n              -108.5,\n              34.25\n            ],\n            [\n              -108.5,\n              33.5\n            ],\n            [\n              -107.4,\n              33.5\n            ],\n            [\n              -107.4,\n              34.25\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"310","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hudson, Adam M. 0000-0002-3387-9838 ahudson@usgs.gov","orcid":"https://orcid.org/0000-0002-3387-9838","contributorId":195419,"corporation":false,"usgs":true,"family":"Hudson","given":"Adam","email":"ahudson@usgs.gov","middleInitial":"M.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":873988,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Quade, Jay","contributorId":22108,"corporation":false,"usgs":false,"family":"Quade","given":"Jay","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":873989,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Holliday, Vance T.","contributorId":265971,"corporation":false,"usgs":false,"family":"Holliday","given":"Vance","email":"","middleInitial":"T.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":873990,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fenerty, Brendan","contributorId":261639,"corporation":false,"usgs":false,"family":"Fenerty","given":"Brendan","email":"","affiliations":[{"id":52636,"text":"Department of Geosciences, University of Arizona, Tucson, AZ","active":true,"usgs":false}],"preferred":false,"id":873991,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bright, Jordon","contributorId":63981,"corporation":false,"usgs":false,"family":"Bright","given":"Jordon","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":873992,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gray, Harrison J. 0000-0002-4555-7473 hgray@usgs.gov","orcid":"https://orcid.org/0000-0002-4555-7473","contributorId":4991,"corporation":false,"usgs":true,"family":"Gray","given":"Harrison","email":"hgray@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":874080,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mahan, Shannon A. 0000-0001-5214-7774 smahan@usgs.gov","orcid":"https://orcid.org/0000-0001-5214-7774","contributorId":147159,"corporation":false,"usgs":true,"family":"Mahan","given":"Shannon","email":"smahan@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":874081,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70248792,"text":"70248792 - 2023 - Recreation use values for water-based recreation","interactions":[],"lastModifiedDate":"2023-09-21T13:53:44.47522","indexId":"70248792","displayToPublicDate":"2023-05-24T08:51:33","publicationYear":"2023","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Recreation use values for water-based recreation","docAbstract":"<p>Outdoor recreation is an important and growing activity worldwide. Water-based outdoor recreation is a subset that includes various activities such as fishing, boating, and swimming. While a large portion of water-based recreation is either free or provided at administratively set minimal entrance fees, these activities still involve significant economic value in aggregate. Because many water-based recreation activities do not have market prices, economists have developed nonmarket valuation methods to estimate the full scope of economic values to participants associated with these activities.</p><p>Estimates of the economic value of water-based recreation are important in water resource management. While water resource infrastructure investment decisions typically include the economic value of recreation, periodic evaluation of infrastructure operations after construction may not. Re-evaluation of operations is particularly important if rapid changes in future conditions such as drought or changes in recreational demand occur. Because developing original site-based estimates of economic value requires significant effort, it is important to understand the general economic value of specific water-based recreational activities and methods used to transfer benefit estimates from existing studies to other sites.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Oxford research encyclopedia of environmental science","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Oxford University Press","doi":"10.1093/acrefore/9780199389414.013.797","usgsCitation":"Loomis, J., and Bair, L., 2023, Recreation use values for water-based recreation, chap. <i>of</i> Oxford research encyclopedia of environmental science, 35 p., https://doi.org/10.1093/acrefore/9780199389414.013.797.","productDescription":"35 p.","ipdsId":"IP-130849","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":421027,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2023-05-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Loomis, John B.","contributorId":201249,"corporation":false,"usgs":false,"family":"Loomis","given":"John B.","affiliations":[],"preferred":false,"id":883668,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bair, Lucas 0000-0002-9911-3624","orcid":"https://orcid.org/0000-0002-9911-3624","contributorId":248714,"corporation":false,"usgs":true,"family":"Bair","given":"Lucas","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":883669,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70246302,"text":"70246302 - 2023 - State of the science and decision support for measuring suspended sediment with acoustic instrumentation","interactions":[],"lastModifiedDate":"2023-07-05T14:18:22.546826","indexId":"70246302","displayToPublicDate":"2023-05-24T07:13:22","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"State of the science and decision support for measuring suspended sediment with acoustic instrumentation","docAbstract":"Acoustic instrumentation can be used to provide time-series and discrete estimates of suspended-sediment concentration, load, and sediment particle sizes in fluvial systems, which are essential for creating informed solutions to many sediment-related environmental, engineering, and land management concerns. Historically, scientists have developed relations between suspended sediment characteristics and other parameters, most commonly streamflow, to estimate sediment information when physical sediment samples cannot be collected. Approaches using streamflow can have substantial accuracy limitations because of hysteresis effects, giving rise to the use of more direct surrogate approaches such as acoustic methods. Interagency efforts in recent years have advanced the testing, methods development, operational guidelines, and training on acoustic methods for measuring suspended sediment. Scientists interested in using these methods are faced with many decisions on the type of application and deployment: horizontal profiling, vertical profiling, or point acoustic instruments; single or multifrequency instruments; continuous or discrete sediment measurements; and fixed or mobile instrument deployments. To promote cost-effective, accurate, and high-resolution fluvial sediment data for the Nation, the interagency Sediment Acoustic Leadership Team (SALT) develops technical guidance and training for using acoustic instruments to measure aquatic sediment. Even though acoustic instrumentation has been used successfully to measure suspended-sediment characteristics throughout the world, some deployments have been unsuccessful because of limited technical guidance and selection of an inappropriate method. To guide decisions on method selection, the SALT has compiled the state of the science for the main types of acoustics-based suspended-sediment measurement methods in development, testing, and use, and has created a flowchart to guide method selection.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of SEDHYD 2023","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"SEDHYD","conferenceDate":"May 8-12, 2023","conferenceLocation":"St. Louis, Missouri","language":"English","publisher":"SEDHYD","usgsCitation":"Wood, M.S., Groten, J.T., Straub, T.D., Haught, D.R., Griffiths, R.E., Boldt, J.A., Lucena, Z., Brown, J., Suttles, S.E., and Dickhudt, P., 2023, State of the science and decision support for measuring suspended sediment with acoustic instrumentation, <i>in</i> Proceedings of SEDHYD 2023, St. Louis, Missouri, May 8-12, 2023, 16 p.","productDescription":"16 p.","ipdsId":"IP-148019","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":418679,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":418644,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.sedhyd.org/2023Program/s15.html","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wood, Molly S. 0000-0002-5184-8306 mswood@usgs.gov","orcid":"https://orcid.org/0000-0002-5184-8306","contributorId":788,"corporation":false,"usgs":true,"family":"Wood","given":"Molly","email":"mswood@usgs.gov","middleInitial":"S.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"preferred":true,"id":876699,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Groten, Joel T. 0000-0002-0441-8442 jgroten@usgs.gov","orcid":"https://orcid.org/0000-0002-0441-8442","contributorId":173464,"corporation":false,"usgs":true,"family":"Groten","given":"Joel","email":"jgroten@usgs.gov","middleInitial":"T.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":876700,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Straub, Timothy D. 0000-0002-5896-0851","orcid":"https://orcid.org/0000-0002-5896-0851","contributorId":215662,"corporation":false,"usgs":true,"family":"Straub","given":"Timothy","email":"","middleInitial":"D.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":876701,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haught, Dan R.W. 0000-0002-8923-1512","orcid":"https://orcid.org/0000-0002-8923-1512","contributorId":296444,"corporation":false,"usgs":true,"family":"Haught","given":"Dan","email":"","middleInitial":"R.W.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":876702,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Griffiths, Ronald E. 0000-0003-3620-2926 rgriffiths@usgs.gov","orcid":"https://orcid.org/0000-0003-3620-2926","contributorId":162,"corporation":false,"usgs":true,"family":"Griffiths","given":"Ronald","email":"rgriffiths@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":876703,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Boldt, Justin A. 0000-0002-0771-3658","orcid":"https://orcid.org/0000-0002-0771-3658","contributorId":207849,"corporation":false,"usgs":true,"family":"Boldt","given":"Justin","email":"","middleInitial":"A.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true}],"preferred":true,"id":876704,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lucena, Zulimar 0000-0002-1682-2661 zlucena@usgs.gov","orcid":"https://orcid.org/0000-0002-1682-2661","contributorId":178284,"corporation":false,"usgs":true,"family":"Lucena","given":"Zulimar","email":"zlucena@usgs.gov","affiliations":[],"preferred":true,"id":876705,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Brown, Jeb E. 0000-0001-7671-2379","orcid":"https://orcid.org/0000-0001-7671-2379","contributorId":225088,"corporation":false,"usgs":true,"family":"Brown","given":"Jeb E.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":876706,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Suttles, Steven E. 0000-0002-4119-8370 ssuttles@usgs.gov","orcid":"https://orcid.org/0000-0002-4119-8370","contributorId":192272,"corporation":false,"usgs":true,"family":"Suttles","given":"Steven","email":"ssuttles@usgs.gov","middleInitial":"E.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":876707,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Dickhudt, Patrick J. ","contributorId":169593,"corporation":false,"usgs":false,"family":"Dickhudt","given":"Patrick J. ","affiliations":[{"id":25562,"text":"(former) Woods Hole Coastal and Marine Science Center employee","active":true,"usgs":false}],"preferred":false,"id":876708,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70255228,"text":"70255228 - 2023 - Temperature and winter duration requirements for reproductive success in johnny darter Etheostoma nigrum in the South Platte River basin, Colorado","interactions":[],"lastModifiedDate":"2024-06-17T12:05:16.003232","indexId":"70255228","displayToPublicDate":"2023-05-24T07:03:27","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Temperature and winter duration requirements for reproductive success in johnny darter Etheostoma nigrum in the South Platte River basin, Colorado","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><ol class=\"\"><li>Changes in water temperature and its seasonal timing influences the physiological processes of many aquatic ectotherms. Wastewater treatment plants (WWTP) contribute to warmer and more consistent water temperatures in streams draining the North American Great Plains, particularly during winter months. Reduced variation in seasonal water temperature may adversely affect fishes that rely on temperature fluctuation or specific overwintering temperatures for reproductive cues. We used johnny darter<span>&nbsp;</span><i>Etheostoma nigrum</i><span>&nbsp;</span>(Family Percidae), a thermally sensitive species native to the South Platte River Basin, as a focal species to assess the effects of winter water temperature regulations in Colorado.</li><li>Our objective was to evaluate the effects of winter stream temperature and winter duration on reproductive success of johnny darter in the laboratory to inform development of water quality criteria for the South Platte River Basin. Winter duration (60, 90 or 120 days) and temperature (4 or 12°C) were crossed in a factorial design of six treatments that simulated warmed effluent-impacted streams as well as streams with a more natural thermal regime. We defined reproductive success in johnny darter by examining four reproductive endpoints: (1) spawning timing, (2) egg and larvae production, (3) egg success, and (4) egg development. Across the four endpoints, seven main response variables were measured: spawning initiation date, eggs per gram of female per week, live larvae per gram of female per week, fertilisation success, hatching success, egg-to-larva survival and days to hatch.</li><li>Winter temperature and duration influenced spawning timing and egg development. Earlier spawning initiation dates were observed in fish exposed to 12°C winters and was associated with a higher number of days to hatch. Eggs per gram of female per week, live larvae per gram of female per week, fertilisation success, hatching success, and egg-to-larva survival were similar among winter treatments.</li><li>Although the State of Colorado chronic winter water temperature standard of 12°C appears to be adequate for egg and larvae production in johnny darter, our results showed that fish exposed to the standard began spawning significantly earlier than fish exposed to 4°C winters. Evaluating reproductive output in the context of seasonal timing is valid because spawning timing has the potential to affect overall production and egg development, and consequently recruitment and population sustainability. Therefore, spawning timing should be considered when making management decisions and revising water temperature standards.</li><li>The warming of streams and rivers from WWTP effluent is a global issue, especially in areas that are undergoing rapid urbanisation. Fishes are particularly sensitive to water temperature and many fishes worldwide are likely to be experiencing changes in important physiological processes, affecting both reproduction and survival. Our study indicates that reproductive timing could be influenced by stream warming and stresses the need for further studies on the influence of anthropogenic effects on stream warming.</li></ol><p><br data-mce-bogus=\"1\"></p></div></div>","language":"English","publisher":"Wiley","doi":"10.1111/fwb.14100","usgsCitation":"Baum, C., Winkelman, D.L., and Fitzpatrick, R., 2023, Temperature and winter duration requirements for reproductive success in johnny darter Etheostoma nigrum in the South Platte River basin, Colorado: Freshwater Biology, v. 68, no. 7, p. 1238-1251, https://doi.org/10.1111/fwb.14100.","productDescription":"14 p.","startPage":"1238","endPage":"1251","ipdsId":"IP-143839","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":443388,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.1111/fwb.14100","text":"Publisher Index Page"},{"id":430264,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"South Platte River basin","volume":"68","issue":"7","noUsgsAuthors":false,"publicationDate":"2023-05-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Baum, C.M.","contributorId":339064,"corporation":false,"usgs":false,"family":"Baum","given":"C.M.","email":"","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":903783,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Winkelman, Dana L. 0000-0002-5247-0114 danaw@usgs.gov","orcid":"https://orcid.org/0000-0002-5247-0114","contributorId":4141,"corporation":false,"usgs":true,"family":"Winkelman","given":"Dana","email":"danaw@usgs.gov","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":903784,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fitzpatrick, R.M.","contributorId":339066,"corporation":false,"usgs":false,"family":"Fitzpatrick","given":"R.M.","email":"","affiliations":[],"preferred":false,"id":903785,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
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