{"pageNumber":"135","pageRowStart":"3350","pageSize":"25","recordCount":41032,"records":[{"id":70243183,"text":"70243183 - 2023 - Potential effects of habitat change on migratory bird movements and avian influenza transmission in the East Asian-Australasian Flyway","interactions":[],"lastModifiedDate":"2023-05-03T11:36:54.656507","indexId":"70243183","displayToPublicDate":"2023-04-28T06:33:32","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1398,"text":"Diversity","active":true,"publicationSubtype":{"id":10}},"title":"Potential effects of habitat change on migratory bird movements and avian influenza transmission in the East Asian-Australasian Flyway","docAbstract":"<div class=\"html-p\">Wild waterbirds, and especially wild waterfowl, are considered to be a reservoir for avian influenza viruses, with transmission likely occurring at the agricultural-wildlife interface. In the past few decades, avian influenza has repeatedly emerged in China along the East Asian-Australasian Flyway (EAAF), where extensive habitat conversion has occurred. Rapid environmental changes in the EAAF, especially distributional changes in rice paddy agriculture, have the potential to affect both the movements of wild migratory birds and the likelihood of spillover at the agricultural-wildlife interface. To begin to understand the potential implications such changes may have on waterfowl and disease transmission risk, we created dynamic Brownian Bridge Movement Models (dBBMM) based on waterfowl telemetry data. We used these dBBMM models to create hypothetical scenarios that would predict likely changes in waterfowl distribution relative to recent changes in rice distribution quantified through remote sensing. Our models examined a range of responses in which increased availability of rice paddies would drive increased use by waterfowl and decreased availability would result in decreased use, predicted from empirical data. Results from our scenarios suggested that in southeast China, relatively small decreases in rice agriculture could lead to dramatic loss of stopover habitat, and in northeast China, increases in rice paddies should provide new areas that can be used by waterfowl. Finally, we explored the implications of how such scenarios of changing waterfowl distribution may affect the potential for avian influenza transmission. Our results provide advance understanding of changing disease transmission threats by incorporating real-world data that predicts differences in habitat utilization by migratory birds over time.</div>","language":"English","publisher":"MDPI","doi":"10.3390/d15050601","usgsCitation":"Takekawa, J., Prosser, D., Sullivan, J.D., Yin, S., Wang, X., Zhang, G., and Xiao, X., 2023, Potential effects of habitat change on migratory bird movements and avian influenza transmission in the East Asian-Australasian Flyway: Diversity, v. 15, no. 5, 601, 17 p., https://doi.org/10.3390/d15050601.","productDescription":"601, 17 p.","ipdsId":"IP-151017","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":443698,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/d15050601","text":"Publisher Index Page"},{"id":416648,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China, North Korea, South Korea, Russia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              110.647426736211,\n              49.63059537353766\n            ],\n            [\n              110.647426736211,\n              24.72726514910231\n            ],\n            [\n              138.23321668197326,\n              24.72726514910231\n            ],\n            [\n              138.23321668197326,\n              49.63059537353766\n            ],\n            [\n              110.647426736211,\n              49.63059537353766\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"15","issue":"5","noUsgsAuthors":false,"publicationDate":"2023-04-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Takekawa, John 0000-0003-0217-5907","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":203688,"corporation":false,"usgs":false,"family":"Takekawa","given":"John","affiliations":[{"id":36688,"text":"Suisun Resource Conservation District","active":true,"usgs":false}],"preferred":false,"id":871400,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Prosser, Diann 0000-0002-5251-1799","orcid":"https://orcid.org/0000-0002-5251-1799","contributorId":217931,"corporation":false,"usgs":true,"family":"Prosser","given":"Diann","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":871401,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sullivan, Jeffery D. 0000-0002-9242-2432","orcid":"https://orcid.org/0000-0002-9242-2432","contributorId":265822,"corporation":false,"usgs":true,"family":"Sullivan","given":"Jeffery","email":"","middleInitial":"D.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":871402,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yin, Shenglai","contributorId":223544,"corporation":false,"usgs":false,"family":"Yin","given":"Shenglai","email":"","affiliations":[{"id":37803,"text":"Wageningen University","active":true,"usgs":false}],"preferred":false,"id":871403,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wang, Xinxin","contributorId":304701,"corporation":false,"usgs":false,"family":"Wang","given":"Xinxin","email":"","affiliations":[{"id":7062,"text":"University of Oklahoma","active":true,"usgs":false}],"preferred":false,"id":871404,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zhang, Geli","contributorId":206235,"corporation":false,"usgs":false,"family":"Zhang","given":"Geli","email":"","affiliations":[],"preferred":false,"id":871405,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Xiao, Xiangming","contributorId":150759,"corporation":false,"usgs":false,"family":"Xiao","given":"Xiangming","affiliations":[{"id":18095,"text":"Center for Spatial Analysis, U of OK, Norman, OK","active":true,"usgs":false}],"preferred":false,"id":871406,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70243020,"text":"sir20235041 - 2023 - Public-supply water use in 2010 and projections of use in 2020 and 2030, Tennessee","interactions":[],"lastModifiedDate":"2026-03-06T21:34:51.78009","indexId":"sir20235041","displayToPublicDate":"2023-04-27T12:28:54","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":"2023-5041","displayTitle":"Public-Supply Water Use in 2010 and Projections of Use in 2020 and 2030, Tennessee","title":"Public-supply water use in 2010 and projections of use in 2020 and 2030, Tennessee","docAbstract":"<p>Future water use was projected for public-water systems in Tennessee. Water-use information was compiled for Tennessee for 2010, and projections were made to 2020 and 2030. The water-use models were based on two primary datasets: baseline water-use information for 2010 for Tennessee and projected population in Tennessee.</p><p>Population and water withdrawals in Tennessee are expected to increase through 2030. Because population served is projected to increase by about 1 million people during 2010 to 2030, the supply of finished water to meet demand in Tennessee is projected to increase from 921 to 1,137 million gallons per day, or 23 percent. The residential, commercial, and industrial water use, and treatment and nonrevenue water sectors of public supply are about 37, 32, and 30 percent, respectively, of the total water demand in Tennessee during 2010, 2020, and 2030.</p><p>In West Tennessee, public-supply water use is 26, 26, and 24 percent of the total water demand in Tennessee during 2010, 2020, and 2030, respectively. From 2010 to 2030, public-supply water use in West Tennessee is projected to increase 13 percent. In Middle Tennessee, public-supply water use is 38, 39, and 41 percent of the total water demand in Tennessee during 2010, 2020, and 2030, respectively. From 2010 to 2030, public-supply water use in Middle Tennessee is projected to increase 33 percent. In East Tennessee, public-supply water use is 36, 36, and 35 percent of the total water demand in Tennessee during 2010, 2020, and 2030, respectively. From 2010 to 2030, public-supply water use in East Tennessee is projected to increase 21 percent.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235041","collaboration":"Prepared in cooperation with the Tennessee Department of Environment and Conservation, Division of Water Resources","usgsCitation":"Robinson, J.A., and Gain, W.S., 2023, Public-supply water use in 2010 and projections of use in 2020 and 2030, Tennessee: U.S. Geological Survey Scientific Investigations Report 2023–5041, 26 p., https://doi.org/10.3133/sir20235041.","productDescription":"Report: iv, 26 p.; Data Release","numberOfPages":"34","onlineOnly":"Y","ipdsId":"IP-079080","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":500917,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_114699.htm","linkFileType":{"id":5,"text":"html"}},{"id":416446,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20235041/full","text":"Report","linkFileType":{"id":5,"text":"html"}},{"id":416389,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F77S7N07","text":"USGS data release","linkHelpText":"Public-supply water use in 2010 and projections of use to 2030 by county and grand division in Tennessee"},{"id":416386,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2023/5041/sir20235041.pdf","text":"Report","size":"3.12 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2023–5041"},{"id":416385,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2023/5041/coverthb.jpg"},{"id":416387,"rank":3,"type":{"id":31,"text":"Publication 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 \"}}]}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/lmg-water/\" data-mce-href=\"https://www.usgs.gov/centers/lmg-water/\">Lower Mississippi-Gulf Water Science Center</a><br>U.S. Geological Survey<br>640 Grassmere Park, Suite 100<br>Nashville, TN 37211</p><p><a href=\"https://pubs.er.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Approach and Methods</li><li>Public-Supply Water Use and Projections of Use for Tennessee</li><li>Summary</li><li>Selected References</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2023-04-27","noUsgsAuthors":false,"publicationDate":"2023-04-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Robinson, John A. 0000-0001-8002-4237 jarobin@usgs.gov","orcid":"https://orcid.org/0000-0001-8002-4237","contributorId":1105,"corporation":false,"usgs":true,"family":"Robinson","given":"John","email":"jarobin@usgs.gov","middleInitial":"A.","affiliations":[{"id":6676,"text":"USGS (retired)","active":true,"usgs":false}],"preferred":true,"id":870610,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gain, W. Scott wsgain@usgs.gov","contributorId":346,"corporation":false,"usgs":true,"family":"Gain","given":"W.","email":"wsgain@usgs.gov","middleInitial":"Scott","affiliations":[{"id":6676,"text":"USGS (retired)","active":true,"usgs":false}],"preferred":true,"id":870611,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70243023,"text":"pp1876 - 2023 - Volcanic aquifers of Hawaiʻi—Contributions to assessing groundwater availability on Kauaʻi, Oʻahu, and Maui","interactions":[],"lastModifiedDate":"2026-02-18T22:16:30.66487","indexId":"pp1876","displayToPublicDate":"2023-04-27T09:04:58","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1876","displayTitle":"Volcanic Aquifers of Hawai‘i—Contributions to Assessing Groundwater Availability on Kaua‘i, O‘ahu, and Maui","title":"Volcanic aquifers of Hawaiʻi—Contributions to assessing groundwater availability on Kauaʻi, Oʻahu, and Maui","docAbstract":"<p>The volcanic aquifers of the Hawaiian Islands supply water to 1.46 million residents, diverse industries, and a large component of the U.S. military in the Pacific. Groundwater also supplies fresh water that supports ecosystems in streams and near the coast. Hawaii’s aquifers are remarkably productive given their small size, but the capacity of the islands to store fresh groundwater is limited because each island is surrounded by seawater, and salt water underlies much of the fresh groundwater. The amount of fresh groundwater available for human use from Hawai‘i’s volcanic aquifers is constrained by the consequences of groundwater withdrawal. Restrictions placed on these consequences can translate to limitations on groundwater availability. Changes in recharge resulting from changes in land cover or climate can alter the effect of withdrawals.</p><p>This study uses numerical models of the volcanic aquifers of the islands of Kaua‘i, O‘ahu, and Maui to quantify the consequences of historical and plausible future withdrawals and changes in recharge. The study compares the results of model simulations of multiple scenarios of historical and projected future withdrawal and recharge. Results of the simulations using the groundwater models of the islands of Kaua‘i, O‘ahu, and Maui have implications for other islands in Hawai‘i.</p><p>Since the first modern water well was drilled in Hawai‘i in 1879, total groundwater withdrawals on Kaua‘i, O‘ahu, and Maui have risen to nearly 400 million gallons per day. Model simulations indicate that these withdrawals have caused reductions in groundwater discharge to streams and springs, reductions in groundwater discharge to the ocean, changes in subsurface flow between sectors within an island, lowering of groundwater levels, and rise of the interface between fresh water and salt water in the aquifers. Future increases in withdrawals will increase the severity of the consequences. Changes in recharge can alter the effect of withdrawals—increases in recharge can offset the consequences of withdrawals, whereas decreases in recharge can exacerbate the effects of withdrawals.</p><p>This study quantifies the consequences of withdrawals for past and plausible future circumstances. The models can be used to test other circumstances. Limits placed on the consequences of withdrawals—such as restrictions to protect stream or coastal ecosystems that rely on groundwater discharge and limitations on water-level decline and rise of the freshwater-saltwater interface to protect the productivity of existing wells—can translate to limits on groundwater availability from Hawai‘i’s volcanic aquifers. Setting acceptable limits to the consequences of groundwater withdrawal is also a critical part of assessing groundwater availability. Once these limits are set, numerical models can be used to quantify the amount of water that can be withdrawn within those limits and thereby inform management decisions that seek to balance the need to limit the consequences of groundwater withdrawals with the need to develop water for human use.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1876","usgsCitation":"Izuka, S.K., and Rotzoll, K., 2023, Volcanic aquifers of Hawai‘i—Contributions to assessing groundwater availability on Kaua‘i, O‘ahu, and Maui (ver. 1.1, June 2023): U.S. Geological Survey Professional Paper 1876, 100 p., https://doi.org/10.3133/pp1876.","productDescription":"Report: ix, 100 p.; 2 Data Releases","numberOfPages":"100","ipdsId":"IP-125998","costCenters":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"links":[{"id":416400,"rank":1,"type":{"id":30,"text":"Data 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https://doi.org/10.5066/P9L4N2ZI."},{"id":416402,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/pp/1876/covrthb.jpg"},{"id":500158,"rank":10,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_114701.htm","text":"Kauai","linkFileType":{"id":5,"text":"html"}},{"id":416405,"rank":6,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sir20205126","text":"Scientific Investigations Report 2020-5126","description":"Izuka, S.K., Rotzoll, K., and Nishikawa, T., 2021, Volcanic Aquifers of Hawai‘i—Construction and calibration of numerical models for assessing groundwater availability on Kaua‘i, O‘ahu, and Maui: U.S. Geological Survey Scientific Investigations Report 2020-5126, 63 p., https://doi.org/10.3133/sir20205126.","linkHelpText":"- Volcanic Aquifers of Hawai‘i—Construction and Calibration of Numerical Models for Assessing Groundwater Availability on Kaua‘i, O‘ahu, and Maui"},{"id":416404,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sir20155164","text":"Scientific Investigations Report 2015-5164","description":"Izuka, S.K., Engott, J.A., Rotzoll, Kolja, Bassiouni, Maoya, Johnson, A.G., Miller, L.D., and Mair, Alan, 2018, Volcanic aquifers of Hawai‘i—Hydrogeology, water budgets, and conceptual models (ver. 2.0, March 2018): U.S. Geological Survey Scientific Investigations Report 2015-5164, 158 p., https://doi.org/10.3133/sir20155164.","linkHelpText":"- Volcanic Aquifers of Hawai‘i—Hydrogeology, Water budgets, and Conceptual Models"},{"id":500159,"rank":11,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_114702.htm","text":"Maui","linkFileType":{"id":5,"text":"html"}},{"id":500157,"rank":9,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_114700.htm","text":"Oahu","linkFileType":{"id":5,"text":"html"}},{"id":417943,"rank":8,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/fs20233010","text":"Fact Sheet 2023-3010","description":"Izuka, S.K., and Rotzoll, K., 2023, Availability of groundwater from the volcanic aquifers of the Hawaiian Islands: U.S. Geological Survey Fact Sheet 2023-3010, 4 p., https://doi.org/10.3133/fs20233010.","linkHelpText":"- Availability of Groundwater from the Volcanic Aquifers of the Hawaiian Islands"},{"id":417726,"rank":7,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/pp/1876/versionHist.rtf","linkFileType":{"id":2,"text":"txt"}},{"id":416403,"rank":4,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1876/pp1876.pdf","text":"Report","size":"32 MB","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Hawaii","otherGeospatial":"Kauaʻi, Maui, 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96818</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Geographic and Geologic Names</li><li>Abstract</li><li>Introduction</li><li>Setting</li><li>Numerical Models</li><li>Numerical-Model Simulations to Assess Groundwater Availability</li><li>Implications for Groundwater Availability</li><li>Study Limitations</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2023-04-27","revisedDate":"2023-06-02","noUsgsAuthors":false,"publicationDate":"2023-04-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Izuka, Scot K. 0000-0002-8758-9414 skizuka@usgs.gov","orcid":"https://orcid.org/0000-0002-8758-9414","contributorId":2645,"corporation":false,"usgs":true,"family":"Izuka","given":"Scot","email":"skizuka@usgs.gov","middleInitial":"K.","affiliations":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"preferred":true,"id":870618,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rotzoll, Kolja 0000-0002-5910-888X kolja@usgs.gov","orcid":"https://orcid.org/0000-0002-5910-888X","contributorId":3325,"corporation":false,"usgs":true,"family":"Rotzoll","given":"Kolja","email":"kolja@usgs.gov","affiliations":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"preferred":false,"id":870619,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70242864,"text":"sir20235034 - 2023 - Developing a habitat model to support management of threatened seabeach amaranth (Amaranthus pumilus) at Assateague Island National Seashore, Maryland and Virginia","interactions":[],"lastModifiedDate":"2026-03-06T21:10:26.74788","indexId":"sir20235034","displayToPublicDate":"2023-04-26T14:00:00","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":"2023-5034","displayTitle":"Developing a Habitat Model To Support Management of Threatened Seabeach Amaranth (<em>Amaranthus pumilus</em>) at Assateague Island National Seashore, Maryland and Virginia","title":"Developing a habitat model to support management of threatened seabeach amaranth (Amaranthus pumilus) at Assateague Island National Seashore, Maryland and Virginia","docAbstract":"<p><i>Amaranthus pumilus</i> (seabeach amaranth) is a federally threatened plant species that has been the focus of restoration efforts at Assateague Island National Seashore (ASIS). Despite several years with strong population numbers prior to 2010, monitoring efforts have revealed a significant decline in the seabeach amaranth population since that time, the causes of which have been unclear. To examine potential causes for the population decreases, and to help inform management practices for the future, we first evaluated 20 years of plant population data and three seasons of physical landscape characteristics of seabeach amaranth sites spanning the period of decline to assess how these may have contributed to decreases in habitat. Plant population trends, grazing data, and precipitation data indicate the population declines coincided with severe storms and periods of drought. Furthermore, we found that plants tended to occur at sites on portions of ASIS that were lower elevation on narrower regions of the island than sites where plants were not observed. Secondly, using two different data sampling schemes, we developed Bayesian networks to calculate probabilities of habitat and evaluate the importance of different variables, particularly morphologic metrics, included in the Bayesian networks. Model analyses showed that variables capturing the presence of, and proximity to, the seed bank were important for accurate hindcasts, and that specific barrier-island morphologies tended to occur at sites where seabeach amaranth was observed. More specifically, favorable habitat sites tended to be those more likely to experience overwash during high-water events, consistent with the long-held observations that the plants tend to occur in disturbance-prone settings. Model outputs provide spatially explicit maps of relative habitat suitability and helped to identify high-priority areas for amaranth protection. The modeling effort may also assist in determining the management actions most likely to result in the preservation of a long-term sustainable population.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235034","collaboration":"Prepared in cooperation with U.S. National Park Service, Assateague Island National Seashore","programNote":"Coastal and Marine Hazards and Resources Program","usgsCitation":"Gutierrez, B.T., and Lentz, E.E., 2023, Developing a habitat model to support management of threatened seabeach amaranth (Amaranthus pumilus) at Assateague Island National Seashore, Maryland and Virginia: U.S. Geological Survey Scientific Investigations Report 2023–5034, 62 p., https://doi.org/10.3133/sir20235034.","productDescription":"Report: viii, 62 p.; 2 Data Releases","numberOfPages":"62","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-138169","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":500902,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_114696.htm","linkFileType":{"id":5,"text":"html"}},{"id":416084,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9GKXN3H","text":"USGS data release","linkHelpText":"Seabeach amaranth presence-absence and barrier island geomorphology metrics as relates to shorebird habitat for Assateague Island National Seashore—2008, 2010, and 2014"},{"id":416083,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9IZMQ1B","text":"USGS data release","linkHelpText":"Assateague Island seabeach amaranth survey data—2001 to 2018"},{"id":416078,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2023/5034/coverthb.jpg"},{"id":416081,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2023/5034/sir20235034.XML"},{"id":416082,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2023/5034/images/"},{"id":416079,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2023/5034/sir20235034.pdf","text":"Report","size":"14.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2023-5034"},{"id":416080,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20235034/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2023-5034"}],"country":"United States","state":"Maryland, Virginia","otherGeospatial":"Assateague Island National Seashore","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -75.404961539858,\n              37.96286804133118\n            ],\n            [\n              -75.43790635269107,\n              37.87190276298624\n            ],\n            [\n              -75.41868854520543,\n              37.83288321389344\n            ],\n            [\n              -75.3280903099138,\n              37.813365696066924\n            ],\n            [\n              -75.18532945430236,\n              37.95204474129373\n            ],\n            [\n              -75.11943982863623,\n              38.09046248604372\n            ],\n            [\n              -75.07002260938577,\n              38.23940103731053\n            ],\n            [\n              -75.06727720831641,\n              38.334217385797814\n            ],\n            [\n              -75.08649501580261,\n              38.39664223886004\n            ],\n            [\n              -75.15787544360805,\n              38.37297018430121\n            ],\n            [\n              -75.25670988210835,\n              38.245869722482354\n            ],\n            [\n              -75.28690929387204,\n              38.12502605709048\n            ],\n            [\n              -75.37201672702491,\n              37.9780179817395\n            ],\n            [\n              -75.404961539858,\n              37.96286804133118\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:WHSC_science_director@usgs.gov\" data-mce-href=\"mailto:WHSC_science_director@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/whcmsc\" data-mce-href=\"https://www.usgs.gov/centers/whcmsc\">Woods Hole Coastal and Marine Science Center</a><br>U.S. Geological Survey<br>384 Woods Hole Road Quissett Campus<br>Woods Hole, MA 02543-1598</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Results</li><li>Discussion</li><li>Summary</li><li>References Cited</li><li>Appendix 1. Bayesian Network Configuration, Initial Performance Testing and Scores, and Hindcast Evaluation</li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2023-04-26","noUsgsAuthors":false,"publicationDate":"2023-04-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Gutierrez, Benjamin T. 0000-0002-1879-7893 bgutierrez@usgs.gov","orcid":"https://orcid.org/0000-0002-1879-7893","contributorId":2924,"corporation":false,"usgs":true,"family":"Gutierrez","given":"Benjamin","email":"bgutierrez@usgs.gov","middleInitial":"T.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":870046,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lentz, Erika E. 0000-0002-0621-8954 elentz@usgs.gov","orcid":"https://orcid.org/0000-0002-0621-8954","contributorId":173964,"corporation":false,"usgs":true,"family":"Lentz","given":"Erika","email":"elentz@usgs.gov","middleInitial":"E.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":870047,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70243365,"text":"70243365 - 2023 - Successful hindcast of 7 years of mud morphodynamics influenced by salt pond restoration in south San Francisco Bay","interactions":[],"lastModifiedDate":"2023-05-10T12:07:56.61287","indexId":"70243365","displayToPublicDate":"2023-04-26T07:03:57","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Successful hindcast of 7 years of mud morphodynamics influenced by salt pond restoration in south San Francisco Bay","docAbstract":"<div class=\"col-lg-9 col-sm-7 col-md-8 article__content\"><div class=\"article__body \"><div class=\"NLM_abstract\"><p>Alviso Slough in South San Francisco Bay has been experiencing restoration of adjacent former salt-production ponds into muted tidal ponds, tidal ponds, and salt marsh. As a result, tidal prism through Alviso Slough has increased and mercury-contaminated sediment has been remobilized. We developed a 2D, high-resolution, process-based model (Delft3D FM-wave) to hindcast observed morpho-dynamic developments and to investigate associated sediment flux in the slough and pond system. Our results contrastingly demonstrate that a successful hindcast of the observed morphodynamic trend is made while reproducing observed intratidal suspended sediment concentrations in Alviso Slough remains a challenge. Our explanation is that the model is able to capture spatial gradients in the tide-residual sediment transports as the result of the large-scale management actions in the system, i.e., the opening of the salt ponds. These tide-residual processes are generally difficult to measure over an entire domain, but are very relevant to model the morphodynamic development. Our model provides a promising tool to trace eroding contaminated sediments to the benefit of restoration project managers and to support planning and design phases of adaptive management measures.</p></div></div></div>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Coastal Sediments Proceedings","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"World Scientific","doi":"10.1142/9789811275135_0103","usgsCitation":"Van der Wegen, M., Reyns, J., Jaffe, B.E., Foxgrover, A.C., Achete, F., Marvin-DiPasquale, M.C., Fregoso, T.A., Nam, J., and Lovering, J., 2023, Successful hindcast of 7 years of mud morphodynamics influenced by salt pond restoration in south San Francisco Bay, <i>in</i> Coastal Sediments Proceedings, p. 1129-1134, https://doi.org/10.1142/9789811275135_0103.","productDescription":"6 p.","startPage":"1129","endPage":"1134","ipdsId":"IP-147951","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":416901,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"South San Francisco Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.7132117678304,\n              37.927707430220735\n            ],\n            [\n              -122.7132117678304,\n              37.06078554622208\n            ],\n            [\n              -121.29658481599789,\n              37.06078554622208\n            ],\n            [\n              -121.29658481599789,\n              37.927707430220735\n            ],\n            [\n              -122.7132117678304,\n              37.927707430220735\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationDate":"2023-03-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Van der Wegen, Mick","contributorId":191095,"corporation":false,"usgs":false,"family":"Van der Wegen","given":"Mick","email":"","affiliations":[],"preferred":false,"id":872171,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reyns, Johan","contributorId":224304,"corporation":false,"usgs":false,"family":"Reyns","given":"Johan","email":"","affiliations":[{"id":36257,"text":"Deltares","active":true,"usgs":false}],"preferred":false,"id":872172,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jaffe, Bruce E. 0000-0002-8816-5920 bjaffe@usgs.gov","orcid":"https://orcid.org/0000-0002-8816-5920","contributorId":2049,"corporation":false,"usgs":true,"family":"Jaffe","given":"Bruce","email":"bjaffe@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":872173,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Foxgrover, Amy C. 0000-0003-0638-5776 afoxgrover@usgs.gov","orcid":"https://orcid.org/0000-0003-0638-5776","contributorId":3261,"corporation":false,"usgs":true,"family":"Foxgrover","given":"Amy","email":"afoxgrover@usgs.gov","middleInitial":"C.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":872174,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Achete, Fernanda","contributorId":174686,"corporation":false,"usgs":false,"family":"Achete","given":"Fernanda","email":"","affiliations":[{"id":27497,"text":"UNESCO-IHE, The Netherlands","active":true,"usgs":false}],"preferred":false,"id":872175,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Marvin-DiPasquale, Mark C. 0000-0002-8186-9167 mmarvin@usgs.gov","orcid":"https://orcid.org/0000-0002-8186-9167","contributorId":1485,"corporation":false,"usgs":true,"family":"Marvin-DiPasquale","given":"Mark","email":"mmarvin@usgs.gov","middleInitial":"C.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":872176,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fregoso, Theresa A. 0000-0001-7802-5812 tfregoso@usgs.gov","orcid":"https://orcid.org/0000-0001-7802-5812","contributorId":2571,"corporation":false,"usgs":true,"family":"Fregoso","given":"Theresa","email":"tfregoso@usgs.gov","middleInitial":"A.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":872177,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Nam, Judy 0000-0002-3190-9570","orcid":"https://orcid.org/0000-0002-3190-9570","contributorId":304991,"corporation":false,"usgs":false,"family":"Nam","given":"Judy","email":"","affiliations":[{"id":66200,"text":"Valley Water","active":true,"usgs":false}],"preferred":false,"id":872178,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lovering, Jessica 0000-0002-0705-9633","orcid":"https://orcid.org/0000-0002-0705-9633","contributorId":304992,"corporation":false,"usgs":false,"family":"Lovering","given":"Jessica","affiliations":[{"id":66200,"text":"Valley Water","active":true,"usgs":false}],"preferred":false,"id":872179,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70245414,"text":"70245414 - 2023 - Assessment of potential recovery viability for Colorado Pikeminnow Ptychocheilus lucius in the Colorado River in Grand Canyon","interactions":[],"lastModifiedDate":"2023-07-11T16:18:00.192889","indexId":"70245414","displayToPublicDate":"2023-04-26T06:40:06","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Assessment of potential recovery viability for Colorado Pikeminnow Ptychocheilus lucius in the Colorado River in Grand Canyon","docAbstract":"<div id=\"15190376\" class=\"article-section-wrapper js-article-section js-content-section  \" data-section-parent-id=\"0\"><p>Colorado Pikeminnow Ptychocheilus lucius, the Colorado River’s top native predatory fish, was historically distributed from the Gulf of California delta to the upper reaches of the Green, Colorado, and San Juan rivers in the Colorado River basin in the Southwestern US. In recent decades Colorado Pikeminnow population abundance has declined, primarily due to predation by warmwater nonnative fish and habitat modification following dam construction. Small, reproducing populations remain in the Green and upper Colorado rivers, but their current population trajectory is declining and the San Juan River population is maintained primarily through stocking. As such, establishment of an additional population could aid recovery efforts and increase the species’ resilience and population redundancy. The Colorado River in Grand Canyon once supported Colorado Pikeminnow, but until recently habitat suitability in this altered reach was considered low due to a depressed thermal regime and abundant nonnative predators. Climate change and ongoing drought has presented an opportunity to evaluate the feasibility of native fish restoration in a system where declining reservoir storage has led to warmer releases and re-emergence of riverine habitat. These changes in the physical attributes of the river have occurred in concert with a system-wide decline in nonnative predators. Conditions ten years ago were not compatible with reintroduction feasibility in Grand Canyon; however, due to rapidly changing conditions an expert Science Panel was convened to evaluate whether the physical and biological attributes of this reach could now support various life stages of Colorado Pikeminnow. Here, we report on the evaluation process and outcome from the Science Panel, which developed a science-based recommendation to the U.S. Fish and Wildlife Service on reintroduction feasibility. The Science Panel concluded that current habitat attributes in Grand Canyon could satisfy some, but perhaps not all, Colorado Pikeminnow life history requirements. This reach has the potential to support adult and sub-adult growth, foraging, migrations, and spawning, but low juvenile survival may limit recruitment. However, populations of other native species are successfully reproducing and increasing in western Grand Canyon, even in areas once considered suboptimal habitat. Should managers decide to move to the next phase of this process, actions such as experimental stocking and monitoring, telemetry studies, bioenergetics modeling, and laboratory-based research may provide additional information to further evaluate a potential reintroduction effort in this rapidly changing but highly altered system.</p></div>","language":"English","publisher":"Allen Press","doi":"10.3996/JFWM-22-031","usgsCitation":"Dibble, K.L., Yackulic, C., Bestgen, K., Gido, K.B., Jones, T., McKinstry, M., Osmundson, D., Ryden, D., and Schelly, R.C., 2023, Assessment of potential recovery viability for Colorado Pikeminnow Ptychocheilus lucius in the Colorado River in Grand Canyon: Journal of Fish and Wildlife Management, v. 14, no. 1, p. 239-268, https://doi.org/10.3996/JFWM-22-031.","productDescription":"30 p.","startPage":"239","endPage":"268","ipdsId":"IP-138882","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":443718,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/jfwm-22-031","text":"Publisher Index Page"},{"id":435356,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9DYA9FC","text":"USGS data release","linkHelpText":"Discharge and water temperature data, Lake Powell thermal profiles, and Annual Thermal Units used to assess reintroduction feasibility of Colorado pikeminnow (Ptychocheilus lucius) in the Colorado River in Grand Canyon"},{"id":418390,"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              -111.3826955382889,\n              36.966521461500975\n            ],\n            [\n              -114.02749123354414,\n              36.966521461500975\n            ],\n            [\n              -114.02749123354414,\n              35.62604328493582\n            ],\n            [\n              -111.3826955382889,\n              35.62604328493582\n            ],\n            [\n              -111.3826955382889,\n              36.966521461500975\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"14","issue":"1","noUsgsAuthors":false,"publicationDate":"2023-04-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Dibble, Kimberly L. 0000-0003-0799-4477 kdibble@usgs.gov","orcid":"https://orcid.org/0000-0003-0799-4477","contributorId":5174,"corporation":false,"usgs":true,"family":"Dibble","given":"Kimberly","email":"kdibble@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":876064,"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":876065,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bestgen, Kevin R.","contributorId":264509,"corporation":false,"usgs":false,"family":"Bestgen","given":"Kevin R.","affiliations":[{"id":13606,"text":"CSU","active":true,"usgs":false}],"preferred":false,"id":876066,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gido, Keith B.","contributorId":198487,"corporation":false,"usgs":false,"family":"Gido","given":"Keith","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":876067,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jones, Tildon","contributorId":311215,"corporation":false,"usgs":false,"family":"Jones","given":"Tildon","email":"","affiliations":[{"id":67360,"text":"U.S. Fish and Wildlife Service, Upper Colorado River Endangered Fish Recovery Program, 1380 S. 2350, W. Vernal, UT 84078","active":true,"usgs":false}],"preferred":false,"id":876068,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McKinstry, Mark","contributorId":276041,"corporation":false,"usgs":false,"family":"McKinstry","given":"Mark","email":"","affiliations":[{"id":12646,"text":"BOR","active":true,"usgs":false}],"preferred":false,"id":876069,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Osmundson, Doug","contributorId":311216,"corporation":false,"usgs":false,"family":"Osmundson","given":"Doug","email":"","affiliations":[{"id":67361,"text":"U.S. Fish and Wildlife Service, Grand Junction Fish and Wildlife Conservation Office, 445 West Gunnison Ave., Suite 140, Grand Junction, CO 81501-5711","active":true,"usgs":false}],"preferred":false,"id":876070,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ryden, Dale","contributorId":311217,"corporation":false,"usgs":false,"family":"Ryden","given":"Dale","email":"","affiliations":[{"id":67361,"text":"U.S. Fish and Wildlife Service, Grand Junction Fish and Wildlife Conservation Office, 445 West Gunnison Ave., Suite 140, Grand Junction, CO 81501-5711","active":true,"usgs":false}],"preferred":false,"id":876071,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Schelly, Robert C.","contributorId":301154,"corporation":false,"usgs":false,"family":"Schelly","given":"Robert","email":"","middleInitial":"C.","affiliations":[{"id":65320,"text":"Native Fish Ecology and Conservation Program","active":true,"usgs":false}],"preferred":false,"id":876072,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70243000,"text":"pp1885H - 2023 - Predevelopment water levels, groundwater recharge, and selected hydrologic properties of aquifer materials, Hinkley and Water Valleys, California","interactions":[{"subject":{"id":70243000,"text":"pp1885H - 2023 - Predevelopment water levels, groundwater recharge, and selected hydrologic properties of aquifer materials, Hinkley and Water Valleys, California","indexId":"pp1885H","publicationYear":"2023","noYear":false,"chapter":"H","displayTitle":"Predevelopment Water Levels, Groundwater Recharge, and Selected Hydrologic Properties of Aquifer Materials, Hinkley and Water Valleys, California","title":"Predevelopment water levels, groundwater recharge, and selected hydrologic properties of aquifer materials, Hinkley and Water Valleys, California"},"predicate":"IS_PART_OF","object":{"id":70242957,"text":"pp1885 - 2023 - Natural and anthropogenic (human-made) hexavalent chromium, Cr(VI), in groundwater near a mapped plume, Hinkley, California","indexId":"pp1885","publicationYear":"2023","noYear":false,"title":"Natural and anthropogenic (human-made) hexavalent chromium, Cr(VI), in groundwater near a mapped plume, Hinkley, California"},"id":1}],"isPartOf":{"id":70242957,"text":"pp1885 - 2023 - Natural and anthropogenic (human-made) hexavalent chromium, Cr(VI), in groundwater near a mapped plume, Hinkley, California","indexId":"pp1885","publicationYear":"2023","noYear":false,"title":"Natural and anthropogenic (human-made) hexavalent chromium, Cr(VI), in groundwater near a mapped plume, Hinkley, California"},"lastModifiedDate":"2025-05-14T14:47:28.720274","indexId":"pp1885H","displayToPublicDate":"2023-04-25T19:49:08","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1885","chapter":"H","displayTitle":"Predevelopment Water Levels, Groundwater Recharge, and Selected Hydrologic Properties of Aquifer Materials, Hinkley and Water Valleys, California","title":"Predevelopment water levels, groundwater recharge, and selected hydrologic properties of aquifer materials, Hinkley and Water Valleys, California","docAbstract":"<p>Hydrologic and geophysical data were collected to support updates to an existing groundwater-flow model of Hinkley Valley, California, in the Mojave Desert about 80 miles northeast of Los Angeles, California. These data provide information on predevelopment (pre-1930) water levels, groundwater recharge, and selected hydrologic properties of aquifer materials.</p><p>A predevelopment groundwater-level map, drawn using water-level measurements from 48 wells collected as early as 1918, showed groundwater movement from recharge areas along the Mojave River to evaporative discharge areas near the margin of Harper (dry) Lake in Water Valley. During predevelopment conditions, depth to water ranged from near land surface along the Mojave River to above land surface near Harper (dry) Lake, consistent with flowing wells in Water Valley at that time. Depths to water in much of Hinkley Valley downgradient from the Lockhart fault were less than 20 feet below land surface. By 2017, water-level declines as a result of agricultural pumping, were as much as 60 feet near the Hinkley compressor station.</p><p>Areal recharge from infiltration of precipitation on the valley floor is negligible. Average annual recharge as infiltration of runoff from upland drainages to Hinkley and Water Valleys averages 64.7 acre-feet per year. In most years recharge does not occur; in years when it occurs, recharge to Hinkley Valley is typically about 296 acre-feet. In contrast, average recharge as infiltration of streamflow from the Mojave River from 1931 to 2015 was between 13,400 and 17,100 acre-feet per year; in some years recharge from the Mojave River exceeded 100,000 acre-ft. Estimates of predevelopment groundwater movement through Hinkley Gap and groundwater discharge to Harper (dry) Lake ranged from 570 to 1,900 and 820 to 2,460 acre-feet per year, respectively; at the time of this study in 2017, groundwater movement through Hinkley Gap was estimated to be about 83 acre-feet per year.</p><p>Hydraulic-conductivity values estimated from slug-test data for 95 monitoring wells ranged from less than 0.1 to 680 feet per day (ft/d); values generally decreased with depth. Median hydraulic-conductivity values calculated from nuclear magnetic resonance (NMR) data for Mojave River alluvium and near-shore lake deposits were 73 and 11 ft/d, respectively; median hydraulic-conductivity values for locally derived alluvium and weathered bedrock were 6 and 2 ft/d, respectively. Hydraulic-conductivity values, estimated from NMR data for formerly saturated deposits overlying the 2017 water table, were as high as 300 ft/d near the Hinkley compressor station. Downgradient from the Hinkley compressor station, formerly saturated deposits had hydraulic-conductivity values of about 150 ft/d, which were higher than values in saturated material. Coarse-textured, permeable material in formerly saturated deposits above the 2017 water table may have allowed groundwater, released from the Hinkley compressor station that may have contained Cr(VI), to move rapidly downgradient.</p><p>The Lockhart fault is an impediment to groundwater flow within Hinkley Valley. Groundwater-flow directions from horizontal point-velocity probe data were deflected to the west on the upgradient side of the fault compared to the nominal direction of groundwater flow estimated from water-level data. Younger groundwater was present on the upgradient and downgradient sides of the fault, and older groundwater with unadjusted carbon-14 ages as old as 5,650 years before present was in water from wells within splays of the Lockhart fault, consistent with limited groundwater movement across the fault. As a result, groundwater and Cr(VI) released from the Hinkley compressor station moved to the northwest along the downgradient side of the fault.</p><p>Coupled well-bore flow and depth-dependent water-quality data show water from wells C-01 and IW-03 within the Q4 2015 (October–December 2015) regulatory Cr(VI) plume was yielded from thin layers within the aquifer that are composed of well-sorted lake-margin (beach) deposits that likely have high lateral and longitudinal connectivity. Collectively, data show highly permeable deposits above the regional water table and thin permeable deposits within saturated portions of the upper aquifer that may have conducted groundwater and Cr(VI) downgradient when releases from the Hinkley compressor station first occurred.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1885H","collaboration":"Prepared in cooperation with the Lahontan Regional Water Quality Control Board","usgsCitation":"Groover, K.D., Izbicki, J.A., Seymour, W.A., Brown, A.N., Bayless, R.E., Johnson, C.D., Pappas, K.L., Smith, G.A., Clark, D.A., Larsen, J., Dick, M.C., Flint, L.E., Stamos, C.L., and Warden, J.G., 2023, Predevelopment water levels, groundwater recharge, and selected hydrologic properties of aquifer materials, Hinkley and Water Valleys, California, Chapter H <em>of</em> Natural and anthropogenic (human-made) hexavalent chromium, Cr(VI), in groundwater near a mapped plume, Hinkley, California: U.S. Geological Survey Professional Paper 1885-H, 64 p., https://doi.org/10.3133/pp1885H.","productDescription":"Report: x, 64 p.; Data Release; 5 Appendixes","numberOfPages":"64","additionalOnlineFiles":"Y","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":417466,"rank":11,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/ofr20231043","text":"Open-File Report 2023-1043","linkHelpText":"- Natural and Anthropogenic Hexavalent Chromium, Cr(VI), in Groundwater near a Mapped Plume, Hinkley, California"},{"id":416347,"rank":10,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/pp/1885/h/tables/pp1885h_appendtable_h.1.5.xlsx","text":"Appendix table H 1.5","linkFileType":{"id":3,"text":"xlsx"}},{"id":416346,"rank":9,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/pp/1885/h/tables/pp1885h_appendtable_h.1.4.xlsx","text":"Appendix table H 1.4","linkFileType":{"id":3,"text":"xlsx"}},{"id":416345,"rank":8,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/pp/1885/h/tables/pp1885h_appendtable_h.1.3.xlsx","text":"Appendix table H 1.3","linkFileType":{"id":3,"text":"xlsx"}},{"id":416344,"rank":7,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/pp/1885/h/tables/pp1885h_appendtable_h.1.2.xlsx","text":"Appendix table H 1.2","linkFileType":{"id":3,"text":"xlsx"}},{"id":416343,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/pp/1885/h/tables/pp1885h_appendtable_h.1.1.xlsx","text":"Appendix table H 1.1","linkFileType":{"id":3,"text":"xlsx"}},{"id":416293,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/pp/1885/h/images"},{"id":416291,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1885/h/pp1885h.pdf","text":"Report","size":"12 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":416290,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/pp/1885/h/covrthb.jpg"},{"id":416292,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/pp/1885/h/pp1885h.xml"},{"id":416289,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9BUXAX1","text":"Hydrologic data in Hinkley and Water Valleys, San Bernardino County, California, 2015–2018","description":"Groover, K.D., Izbicki, J.A., Larsen, J.D., Dick, M.C., Nawikas, J., and Kohel, C.A., 2021, Hydrologic data in Hinkley and Water Valleys, San Bernardino County, California, 2015–2018: U.S. Geological Survey data release, https://doi.org/10.5066/P9BUXAX1."}],"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              -116,\n              35.25\n            ],\n            [\n              -117.75,\n              35.25\n            ],\n            [\n              -117.75,\n              34.25\n            ],\n            [\n              -116,\n              34.25\n            ],\n            [\n              -116,\n              35.25\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","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>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>H.1. Introduction</li><li>H.2. Methods</li><li>H.3. Results and Discussion</li><li>H.4. Conclusions</li><li>H.5. References Cited</li><li>Appendix H.1. Selected Site Information, Geophysical Log, Hydrologic, Core-Extraction, and Depth-Dependent Water-Quality Data for Hinkley and Water Valleys, California</li><li>Appendix H.2. Comparison of Groundwater-Age and Chemical Data with Groundwater-Flow Model Particle-Track Results, Hinkley and Water Valleys, California</li></ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2023-04-25","noUsgsAuthors":false,"publicationDate":"2023-04-25","publicationStatus":"PW","contributors":{"authors":[{"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":870501,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":870502,"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":870503,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brown, Anthony A. 0000-0001-9925-0197 anbrown@usgs.gov","orcid":"https://orcid.org/0000-0001-9925-0197","contributorId":5125,"corporation":false,"usgs":true,"family":"Brown","given":"Anthony","email":"anbrown@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":870504,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bayless, Randall E. 0000-0002-0357-3635 ebayless@usgs.gov","orcid":"https://orcid.org/0000-0002-0357-3635","contributorId":191766,"corporation":false,"usgs":true,"family":"Bayless","given":"Randall","email":"ebayless@usgs.gov","middleInitial":"E.","affiliations":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":false,"id":870505,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnson, Carole D. 0000-0001-6941-1578 cjohnson@usgs.gov","orcid":"https://orcid.org/0000-0001-6941-1578","contributorId":1891,"corporation":false,"usgs":true,"family":"Johnson","given":"Carole","email":"cjohnson@usgs.gov","middleInitial":"D.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":870506,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pappas, Katherine L. 0000-0002-1030-6973","orcid":"https://orcid.org/0000-0002-1030-6973","contributorId":217436,"corporation":false,"usgs":true,"family":"Pappas","given":"Katherine","email":"","middleInitial":"L.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":870507,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Smith, Gregory A. 0000-0001-8170-9924 gasmith@usgs.gov","orcid":"https://orcid.org/0000-0001-8170-9924","contributorId":1520,"corporation":false,"usgs":true,"family":"Smith","given":"Gregory","email":"gasmith@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":870508,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Clark, Dennis A. daclark@usgs.gov","contributorId":1477,"corporation":false,"usgs":true,"family":"Clark","given":"Dennis","email":"daclark@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":870509,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Larsen, Joshua 0000-0002-1218-800X jlarsen@usgs.gov","orcid":"https://orcid.org/0000-0002-1218-800X","contributorId":272403,"corporation":false,"usgs":true,"family":"Larsen","given":"Joshua","email":"jlarsen@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":870510,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Dick, Meghan C. 0000-0002-8323-3787 mdick@usgs.gov","orcid":"https://orcid.org/0000-0002-8323-3787","contributorId":200745,"corporation":false,"usgs":true,"family":"Dick","given":"Meghan","email":"mdick@usgs.gov","middleInitial":"C.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":870511,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Flint, Lorraine E. 0000-0002-7868-441X lflint@usgs.gov","orcid":"https://orcid.org/0000-0002-7868-441X","contributorId":1184,"corporation":false,"usgs":true,"family":"Flint","given":"Lorraine","email":"lflint@usgs.gov","middleInitial":"E.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":870512,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Stamos, Christina L. 0000-0002-1007-9352 clstamos@usgs.gov","orcid":"https://orcid.org/0000-0002-1007-9352","contributorId":1252,"corporation":false,"usgs":true,"family":"Stamos","given":"Christina","email":"clstamos@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":false,"id":870513,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"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":870514,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70242998,"text":"pp1885F - 2023 - Environmental tracers of groundwater source, age, and geochemical evolution","interactions":[{"subject":{"id":70242998,"text":"pp1885F - 2023 - Environmental tracers of groundwater source, age, and geochemical evolution","indexId":"pp1885F","publicationYear":"2023","noYear":false,"chapter":"F","displayTitle":"Environmental Tracers of Groundwater Source, Age, and Geochemical Evolution","title":"Environmental tracers of groundwater source, age, and geochemical evolution"},"predicate":"IS_PART_OF","object":{"id":70242957,"text":"pp1885 - 2023 - Natural and anthropogenic (human-made) hexavalent chromium, Cr(VI), in groundwater near a mapped plume, Hinkley, California","indexId":"pp1885","publicationYear":"2023","noYear":false,"title":"Natural and anthropogenic (human-made) hexavalent chromium, Cr(VI), in groundwater near a mapped plume, Hinkley, California"},"id":1}],"isPartOf":{"id":70242957,"text":"pp1885 - 2023 - Natural and anthropogenic (human-made) hexavalent chromium, Cr(VI), in groundwater near a mapped plume, Hinkley, California","indexId":"pp1885","publicationYear":"2023","noYear":false,"title":"Natural and anthropogenic (human-made) hexavalent chromium, Cr(VI), in groundwater near a mapped plume, Hinkley, California"},"lastModifiedDate":"2024-06-26T14:09:53.151935","indexId":"pp1885F","displayToPublicDate":"2023-04-25T19:48:30","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1885","chapter":"F","displayTitle":"Environmental Tracers of Groundwater Source, Age, and Geochemical Evolution","title":"Environmental tracers of groundwater source, age, and geochemical evolution","docAbstract":"<p>Hexavalent chromium, Cr(VI), was discharged in cooling wastewater to unlined surface ponds from 1952 to 1964 and reached the underlying unconsolidated aquifer at the Pacific Gas and Electric Company (PG&amp;E) Hinkley compressor station in the Mojave Desert, 80 miles northeast of Los Angeles, California. A suite of environmental tracers was analyzed in water samples collected from more than 100 wells to characterize the source, age, and geochemical evolution of groundwater within and near the Cr(VI) plume in Hinkley and Water Valleys. This information was used to help determine the extent of Cr(VI) associated with releases from the Hinkley compressor station and to identify Cr(VI) associated with natural sources.</p><p>The source of water in most wells, indicated by stable oxygen and hydrogen isotope values for water, delta oxygen-18 and delta deuterium, was recharge by infiltration of intermittent surface flows in the Mojave River. With the exception of small flows in 1958, the Mojave River was largely dry between 1952 and 1969. This dry period spans the period of Cr(VI) releases from the Hinkley compressor station; 1952–69 also spans the period of high tritium levels in precipitation resulting from the atmospheric testing of nuclear weapons and, as a consequence, tritium concentrations in groundwater in Hinkley Valley were comparatively low. Groundwater ages (time since recharge) increased downgradient from the Mojave River and with depth. Tritium, measured by helium ingrowth with a study reporting level of 0.05 tritium unit, was detected in water from 51 percent of wells, with detectable tritium as far as 7 miles downgradient from the Mojave River. Tritium concentrations were higher, and tritium/helium-3 groundwater ages younger, in water from wells near the Mojave River and in water from shallower wells downgradient. Agricultural pumping has decreased groundwater levels as much as 60 feet since 1952. As a result of this pumping, some groundwater containing tritium, and presumably anthropogenic Cr(VI), has been removed from the aquifer. The distribution of wells having carbon-14 activities near or greater than 100-percent modern carbon, consistent with post-1952 recharge water, was similar to the distribution of wells containing detectable tritium. Carbon-14 activities as low as 8.9-percent modern carbon, with carbon-14 ages (unadjusted for reactions with aquifer materials) of almost 20,000 years before present (ybp), were sampled in water from some deep wells. Hexavalent chromium concentrations in older groundwater were as high as 11 micrograms per liter but did not exceed 3.6 micrograms per liter in older water from wells completed in “Mojave-type” deposits (composed of felsic Mojave River stream and near-shore lake deposits sourced from the Mojave River); this value may represent an upper limit on Cr(VI) concentrations in groundwater within Mojave-type deposits that likely approximates background Cr(VI) concentrations in the study area. Chlorofluorocarbons were released to the atmosphere and hydrologic cycle as a result of industrial activity beginning in the 1930s. Chlorofluorocarbon data were not generally suitable for groundwater-age dating in Hinkley and Water Valley because of nonatmospheric contributions from local sources.</p><p>Strontium-87/86 isotope ratios and stable chromium isotopes, delta chromium-53, provide information on the geochemical evolution of groundwater in the aquifer. Highly radiogenic strontium-87/86 ratios greater than 0.71000 were present in water from wells completed in coarse-textured Mojave-type deposits having low chromium concentrations but were not diagnostic of these materials. Nonradiogenic strontium-87/86 ratios less than 0.70950 were diagnostic of weathered materials in the northern subarea of Hinkley and in Water Valley that were eroded from Miocene (23–5 million ybp) deposits east of the study area. Values for delta chromium-53 ranged from near 0 to 2.8 parts per thousand (‰) difference. The extent of reductive fractionation, mixing with native groundwater, and longitudinal dispersion within the October–December 2015 (Q4 2015) regulatory Cr(VI) plume can be estimated on the basis of the delta chromium-53 isotope composition of groundwater within the plume. Reduction of Cr(VI) to trivalent chromium, Cr(III), can occur in the presence of natural reductants in oxic groundwater. Although not diagnostic of anthropogenic chromium at the concentrations of interest near the Q4 2015 regulatory Cr(VI) plume margin, delta chromium-53 data indicate anthropogenic Cr(VI) within the plume is not conservative and has reacted with aquifer materials; these reactions have removed some anthropogenic Cr(VI) from groundwater.</p><p>Environmental tracers, and the distribution of modern (post-1952) and premodern (pre-1952) groundwater, inform understanding of the extent of anthropogenic and naturally occurring Cr(VI) near the Q4 2015 regulatory Cr(VI) plume and the understanding of geochemical processes occurring in and near the margins of the Cr(VI) plume. The oxygen and hydrogen isotope compositions of water, tritium/helium-3 groundwater-age data, and carbon-14 data were used with mineralogy and chemistry data as part of a summative-scale analysis to determine the Cr(VI) plume extent later in this professional paper (chapter G).</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1885F","collaboration":"Prepared in cooperation with the Lahontan Regional Water Quality Control Board","usgsCitation":"Warden, J.G., Izbicki, J.A., Sültenfuß, J., Scheiderich, K., and Fitzpatrick, J., 2023, Environmental tracers of groundwater source, age, and geochemical evolution, Chapter F <em>of</em> Natural and anthropogenic (human-made) hexavalent chromium, Cr(VI), in groundwater near a mapped plume, Hinkley, California: U.S. Geological Survey Professional Paper 1885-F, 74 p., https://doi.org/10.3133/pp1885F.","productDescription":"Report: xii, 74 p.; 2 Data Releases; 2 Appendixes","numberOfPages":"74","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":416331,"rank":8,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/pp/1885/f/tables/pp1885f_appendtable_f.2.1.xlsx","text":"Appendix table 2.1","linkFileType":{"id":3,"text":"xlsx"}},{"id":416277,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/pp/1885/f/covrthb.jpg"},{"id":417464,"rank":9,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/ofr20231043","text":"Open-File Report 2023-1043","linkHelpText":"- Natural and Anthropogenic Hexavalent Chromium, Cr(VI), in Groundwater near a Mapped Plume, Hinkley, California"},{"id":416275,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9CU0EH3","text":"Field portable X-ray fluorescence and associated quality control data for the western Mojave Desert, San Bernardino County, California","description":"Groover, K.D., and Izbicki, J.A., 2018, Field portable X-ray fluorescence and associated quality control data for the western Mojave Desert, San Bernardino County, California: U.S. Geological Survey data release, https://doi.org/10.5066/P9CU0EH3."},{"id":416276,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9HUPMG0","text":"Grain size, mineralogic, and trace-element data from field samples near Hinkley, California","description":"Morrison, J.M., Benzel, W.M., Holm-Denoma, C.S., and Bala, S., 2018, Grain size, mineralogic, and trace-element data from field samples near Hinkley, California: U.S. Geological Survey data release, https://doi.org/10.5066/P9HUPMG0."},{"id":416278,"rank":4,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1885/f/pp1885f.pdf","text":"Report","size":"8 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":416279,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/pp/1885/f/pp1885f.xml"},{"id":416280,"rank":6,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/pp/1885/f/images"},{"id":416330,"rank":7,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/pp/1885/f/tables/pp1885f_appendtable_f.1.1.csv","text":"Appendix table 1.1","linkFileType":{"id":7,"text":"csv"}}],"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              -116,\n              35.25\n            ],\n            [\n              -117.75,\n              35.25\n            ],\n            [\n              -117.75,\n              34.25\n            ],\n            [\n              -116,\n              34.25\n            ],\n            [\n              -116,\n              35.25\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","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>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>F.1. Introduction</li><li>F.2. Field and Laboratory Methods and Quality Assurance Data</li><li>F.3. Tracers of the Source and Recharge History of Groundwater</li><li>F.4. Tracers of the Age of Groundwater</li><li>F.5. Strontium Isotopes</li><li>F.6. Chromium Isotopes</li><li>F.7. Conclusions</li><li>F.8. References Cited</li><li>Appendix F.1. Dissolved Atmospheric and Industrial Gas Data</li><li>Appendix F.2. Calculated Physical and Groundwater Age Values</li></ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2023-04-25","noUsgsAuthors":false,"publicationDate":"2023-04-25","publicationStatus":"PW","contributors":{"authors":[{"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":870492,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":870493,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sultenfuss, Jurgen","contributorId":221328,"corporation":false,"usgs":false,"family":"Sultenfuss","given":"Jurgen","email":"","affiliations":[{"id":40351,"text":"University of Bremen, Germany","active":true,"usgs":false}],"preferred":true,"id":870494,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Scheiderich, Kathleen 0000-0002-3756-8324","orcid":"https://orcid.org/0000-0002-3756-8324","contributorId":221339,"corporation":false,"usgs":true,"family":"Scheiderich","given":"Kathleen","email":"","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":870495,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fitzpatrick, John 0000-0001-6738-7180 jfitzpat@usgs.gov","orcid":"https://orcid.org/0000-0001-6738-7180","contributorId":146829,"corporation":false,"usgs":true,"family":"Fitzpatrick","given":"John","email":"jfitzpat@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":870496,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70242996,"text":"pp1885D - 2023 - Analyses of regulatory water-quality data","interactions":[{"subject":{"id":70242996,"text":"pp1885D - 2023 - Analyses of regulatory water-quality data","indexId":"pp1885D","publicationYear":"2023","noYear":false,"chapter":"D","displayTitle":"Analyses of Regulatory Water-Quality Data","title":"Analyses of regulatory water-quality data"},"predicate":"IS_PART_OF","object":{"id":70242957,"text":"pp1885 - 2023 - Natural and anthropogenic (human-made) hexavalent chromium, Cr(VI), in groundwater near a mapped plume, Hinkley, California","indexId":"pp1885","publicationYear":"2023","noYear":false,"title":"Natural and anthropogenic (human-made) hexavalent chromium, Cr(VI), in groundwater near a mapped plume, Hinkley, California"},"id":1}],"isPartOf":{"id":70242957,"text":"pp1885 - 2023 - Natural and anthropogenic (human-made) hexavalent chromium, Cr(VI), in groundwater near a mapped plume, Hinkley, California","indexId":"pp1885","publicationYear":"2023","noYear":false,"title":"Natural and anthropogenic (human-made) hexavalent chromium, Cr(VI), in groundwater near a mapped plume, Hinkley, California"},"lastModifiedDate":"2024-06-26T13:59:08.063538","indexId":"pp1885D","displayToPublicDate":"2023-04-25T19:47:47","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1885","chapter":"D","displayTitle":"Analyses of Regulatory Water-Quality Data","title":"Analyses of regulatory water-quality data","docAbstract":"<p>Between 1952 and 1964, hexavalent chromium, Cr(VI), was released into groundwater from the Pacific Gas and Electric Company (PG&amp;E) Hinkley compressor station in the Mojave Desert 80 miles northeast of Los Angeles, California. The Pacific Gas and Electric Company has monitored groundwater near Hinkley, California, for Cr(VI) and other constituents since the late 1980s. By June 2017, more than 20,000 samples had been collected and analyzed for Cr(VI) for regulatory purposes. Most Cr(VI) samples were analyzed using the U.S. Environmental Protection Agency (EPA) Method 218.6 with a laboratory reporting level (LRL) of 0.2 micrograms per liter (μg/L). Between July 2012 and June 2017, selected samples were analyzed for low-level Cr(VI) concentrations using a modified version of EPA Method 218.6 with an LRL of 0.06 μg/L. Field-blank data and duplicate samples collected during this period indicate a study reporting level (SRL) of 0.2 μg/L for most analyses and a SRL of 0.12 μg/L for low-level Cr(VI) analyses. The overall precision for Cr(VI) data analyzed by both methods at the interim regulatory Cr(VI) background concentration of 3.1 μg/L was 0.09 μg/L, or about 3 percent.</p><p>Hexavalent chromium concentration trends were calculated for 564 monitoring wells for the period from July 2012 through June 2017. Upward Cr(VI) concentration trends were present in water from 102 monitoring wells throughout Hinkley and Water Valleys. Upward Cr(VI) concentration trends in water from wells near the margins of the October–December 2015 (Q4 2015) regulatory Cr(VI) plume (1) within strands of the Lockhart fault east and southeast of the Hinkley compressor station and (2) in water from shallow wells within the northern subarea were consistent with expansion of the Cr(VI) plume in these areas between 2012 and 2017. Upward Cr(VI) concentration trends were widely distributed elsewhere in Hinkley and Water Valleys outside the Q4 2015 regulatory Cr(VI) plume and were commonly associated with declining water levels. These upward trends may result from natural Cr(VI) sources, including movement of Cr(VI) containing groundwater from (1) weathered bedrock, (2) fine-textured deposits, or (3) secondarily oxidized material distributed throughout aquifer deposits. Downward Cr(VI) concentration trends were observed in 146 monitoring wells. Downward trends were largely within the Q4 2015 regulatory Cr(VI) plume and can be attributed to remediation activities downgradient from the Hinkley compressor station. Hexavalent chromium concentration trends also were calculated for 219 domestic wells from July 2012 through June 2017. Upward Cr(VI) concentration trends in 8 domestic wells and downward trends in 23 domestic wells were clustered largely within former residential areas west of the Q4 2015 regulatory Cr(VI) plume. Results of Cr(VI) trend analyses (including upward, downward, and no trend) were used with other data as part of a summative-scale analysis (chapter G) to define the extent of anthropogenic Cr(VI) and natural Cr(VI) within Hinkley and Water Valleys.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1885D","collaboration":"Prepared in cooperation with the Lahontan Regional Water Quality Control Board","usgsCitation":"Izbicki, J.A., and Seymour, W.A., 2023, Analyses of regulatory water-quality data, Chapter D <em>of</em> Natural and anthropogenic (human-made) hexavalent chromium, Cr(VI), in groundwater near a mapped plume, Hinkley, California: U.S. Geological Survey Professional Paper 1885-D, 28 p., https://doi.org/10.3133/pp1885D.","productDescription":"Report: viii, 28 p.; 6 Appendixes","numberOfPages":"28","additionalOnlineFiles":"Y","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":417462,"rank":11,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/ofr20231043","text":"Open-File Report 2023-1043","linkHelpText":"- Natural and Anthropogenic Hexavalent Chromium, Cr(VI), in Groundwater near a Mapped Plume, Hinkley, California"},{"id":416326,"rank":10,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/pp/1885/d/tables/pp1885d_appendtable_d.1.6.xlsx","text":"Appendix table D.1.6"},{"id":416325,"rank":9,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/pp/1885/d/tables/pp1885d_appendtable_d.1.5.xlsx","text":"Appendix table D.1.5"},{"id":416323,"rank":7,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/pp/1885/d/tables/pp1885d_appendtable_d.1.3.xlsx","text":"Appendix table D.1.3"},{"id":416322,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/pp/1885/d/tables/pp1885d_appendtable_d.1.2.xlsx","text":"Appendix table D.1.2"},{"id":416321,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/pp/1885/d/tables/pp1885d_appendtable_d.1.1.xlsx","text":"Appendix table D.1.1"},{"id":416262,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/pp/1885/d/pp1885d.xml"},{"id":416261,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1885/d/pp1885d.pdf","text":"Report","size":"9 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":416260,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/pp/1885/d/covrthb.jpg"},{"id":416324,"rank":8,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/pp/1885/d/tables/pp1885d_appendtable_d.1.4.xlsx","text":"Appendix table D.1.4"},{"id":416263,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/pp/1885/d/images"}],"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              -116,\n              35.25\n            ],\n            [\n              -117.75,\n              35.25\n            ],\n            [\n              -117.75,\n              34.25\n            ],\n            [\n              -116,\n              34.25\n            ],\n            [\n              -116,\n              35.25\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","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>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>D.1. Introduction</li><li>D.2. Data Availability</li><li>D.3. Sample Collection, Laboratory Analyses, Data Quality, and Statistical Methods</li><li>D.4. Hexavalent Chromium Concentration Trends in Water from Wells</li><li>D.5. Comparison of Hexavalent Chromium Concentration Trends with Water-Level and Other Data</li><li>D.6. Conclusions</li><li>D.7. References Cited</li><li>Appendix D.1. Quality Assurance and Environmental Hexavalent Chromium Data from Selected Monitoring and Domestic Wells Sampled for Regulatory Purposes by Pacific Gas and Electric Company, Hinkley and Water Valleys, Western Mojave Desert, California, July 2008 through June 2017</li></ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2023-04-25","noUsgsAuthors":false,"publicationDate":"2023-04-25","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":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":870480,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":870481,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70256481,"text":"70256481 - 2023 - Ancient bears provide insights into Pleistocene ice age refugia in Southeast Alaska","interactions":[],"lastModifiedDate":"2024-08-07T14:43:35.796534","indexId":"70256481","displayToPublicDate":"2023-04-25T09:35:56","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2774,"text":"Molecular Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Ancient bears provide insights into Pleistocene ice age refugia in Southeast Alaska","docAbstract":"<p><span>During the Late Pleistocene, major parts of North America were periodically covered by ice sheets. However, there are still questions about whether ice-free refugia were present in the Alexander Archipelago along the Southeast (SE) Alaska coast during the last glacial maximum (LGM). Numerous subfossils have been recovered from caves in SE Alaska, including American black (</span><i>Ursus americanus</i><span>) and brown (</span><i>U. arctos</i><span>) bears, which today are found in the Alexander Archipelago but are genetically distinct from mainland bear populations. Hence, these bear species offer an ideal system to investigate long-term occupation, potential refugial survival and lineage turnover. Here, we present genetic analyses based on 99 new complete mitochondrial genomes from ancient and modern brown and black bears spanning the last ~45,000 years. Black bears form two SE Alaskan subclades, one preglacial and another postglacial, that diverged &gt;100,000 years ago. All postglacial ancient brown bears are closely related to modern brown bears in the archipelago, while a single preglacial brown bear is found in a distantly related clade. A hiatus in the bear subfossil record around the LGM and the deep split of their pre- and postglacial subclades fail to support a hypothesis of continuous occupancy in SE Alaska throughout the LGM for either species. Our results are consistent with an absence of refugia along the SE Alaska coast, but indicate that vegetation quickly expanded after deglaciation, allowing bears to recolonize the area after a short-lived LGM peak.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/mec.16960","usgsCitation":"da Silva Coelho, F.A., Gill, S., Tomlin, C.M., Papavassiliou, M., Farley, S.D., Cook, J., Sonsthagen, S.A., Sage, G.K., Heaton, T.H., Talbot, S., and Lindqvist, C., 2023, Ancient bears provide insights into Pleistocene ice age refugia in Southeast Alaska: Molecular Ecology, v. 32, no. 13, p. 3641-3656, https://doi.org/10.1111/mec.16960.","productDescription":"16 p.","startPage":"3641","endPage":"3656","ipdsId":"IP-147539","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":443727,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/mec.16960","text":"Publisher Index Page"},{"id":432338,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -133.54442279405686,\n              54.34658810457864\n            ],\n            [\n              -130.68951983788753,\n              54.54526333207045\n            ],\n            [\n              -130.14481684011088,\n              56.044252529548004\n            ],\n            [\n              -132.2953979712057,\n              57.1016826102489\n            ],\n            [\n              -135.45938416329437,\n              59.77166224533508\n            ],\n            [\n              -137.82552158329688,\n              58.768051439466774\n            ],\n            [\n              -135.60272578359988,\n              56.699950197377916\n            ],\n            [\n              -133.80560547048617,\n              55.19364352617387\n            ],\n            [\n              -133.54442279405686,\n              54.34658810457864\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"32","issue":"13","noUsgsAuthors":false,"publicationDate":"2023-04-25","publicationStatus":"PW","contributors":{"authors":[{"text":"da Silva Coelho, Flavio Augusto","contributorId":340793,"corporation":false,"usgs":false,"family":"da Silva Coelho","given":"Flavio","email":"","middleInitial":"Augusto","affiliations":[{"id":37334,"text":"University at Buffalo","active":true,"usgs":false}],"preferred":false,"id":907563,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gill, Stephanie","contributorId":340795,"corporation":false,"usgs":false,"family":"Gill","given":"Stephanie","email":"","affiliations":[{"id":37334,"text":"University at Buffalo","active":true,"usgs":false}],"preferred":false,"id":907564,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tomlin, Crystal M.","contributorId":340797,"corporation":false,"usgs":false,"family":"Tomlin","given":"Crystal","email":"","middleInitial":"M.","affiliations":[{"id":37334,"text":"University at Buffalo","active":true,"usgs":false}],"preferred":false,"id":907565,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Papavassiliou, Marilena","contributorId":340799,"corporation":false,"usgs":false,"family":"Papavassiliou","given":"Marilena","email":"","affiliations":[{"id":37334,"text":"University at Buffalo","active":true,"usgs":false}],"preferred":false,"id":907566,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Farley, Sean D.","contributorId":340801,"corporation":false,"usgs":false,"family":"Farley","given":"Sean","email":"","middleInitial":"D.","affiliations":[{"id":81667,"text":"Alaska Department of Game and Fish","active":true,"usgs":false}],"preferred":false,"id":907567,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cook, Joseph A.","contributorId":340802,"corporation":false,"usgs":false,"family":"Cook","given":"Joseph A.","affiliations":[{"id":36307,"text":"University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":907568,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sonsthagen, Sarah A. 0000-0001-6215-5874 ssonsthagen@usgs.gov","orcid":"https://orcid.org/0000-0001-6215-5874","contributorId":3711,"corporation":false,"usgs":true,"family":"Sonsthagen","given":"Sarah","email":"ssonsthagen@usgs.gov","middleInitial":"A.","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":907569,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sage, George K.","contributorId":340803,"corporation":false,"usgs":false,"family":"Sage","given":"George","email":"","middleInitial":"K.","affiliations":[{"id":63248,"text":"Far Northwestern Institute of Art and Science","active":true,"usgs":false}],"preferred":false,"id":907570,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Heaton, Timothy H.","contributorId":340804,"corporation":false,"usgs":false,"family":"Heaton","given":"Timothy","email":"","middleInitial":"H.","affiliations":[{"id":16684,"text":"University of South Dakota","active":true,"usgs":false}],"preferred":false,"id":907571,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Talbot, Sandra L.","contributorId":340805,"corporation":false,"usgs":false,"family":"Talbot","given":"Sandra L.","affiliations":[{"id":63248,"text":"Far Northwestern Institute of Art and Science","active":true,"usgs":false}],"preferred":false,"id":907572,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Lindqvist, Charlotte","contributorId":340806,"corporation":false,"usgs":false,"family":"Lindqvist","given":"Charlotte","affiliations":[{"id":37334,"text":"University at Buffalo","active":true,"usgs":false}],"preferred":false,"id":907573,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70243157,"text":"70243157 - 2023 - Surface fault displacement models for strike-slip faults","interactions":[],"lastModifiedDate":"2023-05-02T13:37:26.855089","indexId":"70243157","displayToPublicDate":"2023-04-25T08:32:25","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"seriesTitle":{"id":14266,"text":"Report GIRS","active":true,"publicationSubtype":{"id":3}},"seriesNumber":"2022-07","title":"Surface fault displacement models for strike-slip faults","docAbstract":"<p><span> Fault displacement models (FDMs) are an essential component of the probabilistic fault displacement hazard analyses (PFDHA), much like ground motion models in the probabilistic seismic hazard analyses for ground motion hazards. In this study, we develop several principal surface FDMs for strike-slip earthquakes. The model development is based on analyses of the new and comprehensive fault displacement database developed as part of the Fault Displacement Hazard Initiative project led by the University of California, Los Angeles. The main objective of our study is to update the FDMs that were developed over a decade ago by the U.S. Geological Survey and California Geological Survey, in which a reference trace was drawn manually, FDMs are fixed-effect models for lateral displacement, displacement on multiple subparallel ruptures is not aggregated, magnitude (M) scaling is linear, and natural logarithm of displacement is assumed to be normally distributed.</span></p>","language":"English","publisher":"B. John Garrick Institute for the Risk Sciences, University of California, Los Angeles","doi":"10.34948/N3RG6X","usgsCitation":"Chiou, B.S., Chen, R., Thomas, K., Milliner, C.W., Dawson, T., and Petersen, M.D., 2023, Surface fault displacement models for strike-slip faults: Report GIRS 2022-07, xviii, 168 p., https://doi.org/10.34948/N3RG6X.","productDescription":"xviii, 168 p.","ipdsId":"IP-150187","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":416616,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Chiou, Brian S. J.","contributorId":304664,"corporation":false,"usgs":false,"family":"Chiou","given":"Brian","email":"","middleInitial":"S. J.","affiliations":[{"id":34112,"text":"California Department of Transportation","active":true,"usgs":false}],"preferred":false,"id":871300,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chen, Rui","contributorId":304665,"corporation":false,"usgs":false,"family":"Chen","given":"Rui","affiliations":[{"id":12640,"text":"California Geological Survey","active":true,"usgs":false}],"preferred":false,"id":871301,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thomas, Kate","contributorId":304666,"corporation":false,"usgs":false,"family":"Thomas","given":"Kate","email":"","affiliations":[{"id":12640,"text":"California Geological Survey","active":true,"usgs":false}],"preferred":false,"id":871302,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Milliner, Christopher W. D.","contributorId":304667,"corporation":false,"usgs":false,"family":"Milliner","given":"Christopher","email":"","middleInitial":"W. D.","affiliations":[{"id":7218,"text":"California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":871303,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dawson, Timothy E.","contributorId":304669,"corporation":false,"usgs":false,"family":"Dawson","given":"Timothy E.","affiliations":[{"id":12640,"text":"California Geological Survey","active":true,"usgs":false}],"preferred":false,"id":871304,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Petersen, Mark D. 0000-0001-8542-3990 mpetersen@usgs.gov","orcid":"https://orcid.org/0000-0001-8542-3990","contributorId":1163,"corporation":false,"usgs":true,"family":"Petersen","given":"Mark","email":"mpetersen@usgs.gov","middleInitial":"D.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":871305,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70243015,"text":"70243015 - 2023 - The concept of land bridge marshes in the Mississippi River Delta and implications for coastal restoration","interactions":[],"lastModifiedDate":"2023-04-26T12:11:39.748272","indexId":"70243015","displayToPublicDate":"2023-04-25T07:08:38","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":14257,"text":"Nature Based Solutions","active":true,"publicationSubtype":{"id":10}},"title":"The concept of land bridge marshes in the Mississippi River Delta and implications for coastal restoration","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-gulliver text-s\"><div id=\"abs0001\" class=\"abstract author\"><div id=\"abss0001\"><p id=\"spara024\">Louisiana has high coastal wetland loss rates due to natural processes such as subsidence and anthropogenic activities such as construction of river levees and dams, pervasive alteration of surface hydrology by local industries such as oil and gas, and navigation. With the exception of the Atchafalaya River discharge area, most of Louisiana's marsh coastline is retreating and coastal marshes are degrading. In the inactive degrading delta regions, there exists a previously uncharacterized landform referred to colloquially as coastal ‘land bridge’ marshes. Land bridge marshes are saline or brackish marshes fronting large estuarine bays or lakes with sufficient fetch and wave energy to supply high levels of resuspended sediments to the marsh surface. They are generally linear features that are oriented parallel to the coast and the shoreline front retreats landward due to erosion from wave energy. These marshes persist over time vertically due to input of resuspended sediments but are experiencing rapid edge erosion due to wave attack. Comparison of data from Louisiana's Coastal Reference Monitoring System (CRMS) sites show that land bridge marshes have a greater frequency of higher soil surface elevation and higher soil bulk density than non-land bridge marshes. Because land bridges are vertically stable relative to other coastal wetlands, identification of measures to sustain these landscape features is important. Simulations using MarshMorpho2D, a process-based reduced-complexity morphology model, suggest that protection barriers installed on the seaward side of land bridge marshes will attenuate wave energy and, thus, edge erosion. Shoreline protection that can reduce wave energy but still allow sediment input to marshes include living shorelines, rock barriers, and/or breakwaters. Periodic thin layer nourishment of the marsh surface may be necessary to help sustain vertical growth. Further, marsh creation projects directly landward of land bridge marshes may benefit from their protection from waves and as a source of sediment. Consideration of land bridge marshes as distinct marsh types in the State Master Plan and integrated modeling could help to identify measures to sustain these landscape features.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.nbsj.2023.100061","usgsCitation":"Day, J.W., Twilley, R.R., Freeman, A., Couvillion, B., Quirk, T., Jafari, N., Mariotti, G., Hunter, R., Norman, C., Kemp, G., White, J.R., and Meselhe, E., 2023, The concept of land bridge marshes in the Mississippi River Delta and implications for coastal restoration: Nature Based Solutions, v. 3, 100061, 16 p., https://doi.org/10.1016/j.nbsj.2023.100061.","productDescription":"100061, 16 p.","ipdsId":"IP-150398","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":443737,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.nbsj.2023.100061","text":"Publisher Index Page"},{"id":416369,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","otherGeospatial":"Mississippi River Delta","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -92.12197444730403,\n              31.054279968436333\n            ],\n            [\n              -92.12197444730403,\n              28.789280376645095\n            ],\n            [\n              -88.91534599819444,\n              28.789280376645095\n            ],\n            [\n              -88.91534599819444,\n              31.054279968436333\n            ],\n            [\n              -92.12197444730403,\n              31.054279968436333\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Day, John W.","contributorId":200323,"corporation":false,"usgs":false,"family":"Day","given":"John","email":"","middleInitial":"W.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":870582,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Twilley, Robert R.","contributorId":34585,"corporation":false,"usgs":false,"family":"Twilley","given":"Robert","email":"","middleInitial":"R.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":870583,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Freeman, Angelina","contributorId":223755,"corporation":false,"usgs":false,"family":"Freeman","given":"Angelina","affiliations":[{"id":40763,"text":"Coastal Protection and Restoration Authority","active":true,"usgs":false}],"preferred":false,"id":870584,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":870585,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Quirk, Tracy","contributorId":208063,"corporation":false,"usgs":false,"family":"Quirk","given":"Tracy","email":"","affiliations":[{"id":37701,"text":"Academy of Natural Sciences of Drexel University, Philadelphia, Pa","active":true,"usgs":false}],"preferred":false,"id":870586,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jafari, Navid H.","contributorId":214730,"corporation":false,"usgs":false,"family":"Jafari","given":"Navid H.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":870587,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mariotti, Giulio","contributorId":207541,"corporation":false,"usgs":false,"family":"Mariotti","given":"Giulio","email":"","affiliations":[{"id":37557,"text":"Louisiana State University, Baton Rouge LA","active":true,"usgs":false}],"preferred":false,"id":870588,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hunter, Rachael","contributorId":304470,"corporation":false,"usgs":false,"family":"Hunter","given":"Rachael","email":"","affiliations":[{"id":66082,"text":"Comite Resources Inc","active":true,"usgs":false}],"preferred":false,"id":870589,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Norman, Charles","contributorId":304471,"corporation":false,"usgs":false,"family":"Norman","given":"Charles","email":"","affiliations":[{"id":66083,"text":"Charles Norman & Associates","active":true,"usgs":false}],"preferred":false,"id":870590,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kemp, G. 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,{"id":70243206,"text":"70243206 - 2023 - Multiple models for outbreak decision support in the face of uncertainty","interactions":[],"lastModifiedDate":"2023-05-04T14:46:01.464127","indexId":"70243206","displayToPublicDate":"2023-04-25T06:46:35","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2982,"text":"PNAS","active":true,"publicationSubtype":{"id":10}},"title":"Multiple models for outbreak decision support in the face of uncertainty","docAbstract":"<p><span>Policymakers must make management decisions despite incomplete knowledge and conflicting model projections. Little guidance exists for the rapid, representative, and unbiased collection of policy-relevant scientific input from independent modeling teams. Integrating approaches from decision analysis, expert judgment, and model aggregation, we convened multiple modeling teams to evaluate COVID-19 reopening strategies for a mid-sized United States county early in the pandemic. Projections from seventeen distinct models were inconsistent in magnitude but highly consistent in ranking interventions. The 6-mo-ahead aggregate projections were well in line with observed outbreaks in mid-sized US counties. The aggregate results showed that up to half the population could be infected with full workplace reopening, while workplace restrictions reduced median cumulative infections by 82%. Rankings of interventions were consistent across public health objectives, but there was a strong trade-off between public health outcomes and duration of workplace closures, and no win-win intermediate reopening strategies were identified. Between-model variation was high; the aggregate results thus provide valuable risk quantification for decision making. This approach can be applied to the evaluation of management interventions in any setting where models are used to inform decision making. This case study demonstrated the utility of our approach and was one of several multimodel efforts that laid the groundwork for the COVID-19 Scenario Modeling Hub, which has provided multiple rounds of real-time scenario projections for situational awareness and decision making to the Centers for Disease Control and Prevention since December 2020.</span></p>","language":"English","publisher":"National Academy of Sciences","doi":"10.1073/pnas.2207537120","usgsCitation":"Shea, K., Borchering, R.K., Probert, W., Howerton, E., Bogich, T.L., Li, S., van Panhuis, W., Viboud, C., Aguas, R., Belov, A.A., Bhargava, S.H., Cavany, S.M., Chang, J.C., Chen, C., Chen, J., Chen, S., Chen, Y., Childs, L.M., Chow, C.C., Crooker, I., Del Valle, S.Y., Espana, G., Fairchild, G., Gerkin, R.C., Germann, T.C., Gu, Q., Guan, X., Guo, L., Hart, G.R., Hladish, T.J., Hupert, N., Janies, D., Kerr, C.C., Klein, D.J., Klein, E.Y., Lin, G., Manore, C., Meyers, L.A., Mittler, J.E., Mu, K., Nunez, R.C., Oidtman, R.J., Pasco, R., Pastore y Piontti, A., Paul, R., Pearson, C.A., Perdomo, D.R., Perkins, T.A., Pierce, K., Pillai, A.N., Rael, R.C., Rosenfeld, K., Ross, C.W., Spencer, J.A., Stoltzfus, A.B., Toh, K.B., Vattikuti, S., Vespignani, A., Wang, L., White, L.J., Pan, X., Yang, Y., Yogurtcu, O.N., Zhang, W., Zhao, Y., Zou, D., Ferrari, M., Pannell, D., Tildesley, M., Seiferth, J., Johnson, E., Biggerstaff, M., Johansson, M.A., Slayton, R.B., Levander, J., Stazer, J., Kerr, J., and Runge, M.C., 2023, Multiple models for outbreak decision support in the face of uncertainty: PNAS, v. 120, no. 18, e2207537120, 9 p., https://doi.org/10.1073/pnas.2207537120.","productDescription":"e2207537120, 9 p.","ipdsId":"IP-123397","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":443747,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1073/pnas.2207537120","text":"Publisher Index 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,{"id":70243084,"text":"70243084 - 2023 - Inland water greenhouse gas budgets for RECCAP2: 1. State-of-the-art of global scale assessments","interactions":[],"lastModifiedDate":"2023-05-12T14:58:57.836772","indexId":"70243084","displayToPublicDate":"2023-04-25T06:44:39","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1836,"text":"Global Biogeochemical Cycles","active":true,"publicationSubtype":{"id":10}},"title":"Inland water greenhouse gas budgets for RECCAP2: 1. State-of-the-art of global scale assessments","docAbstract":"<p>Inland waters are important sources of the greenhouse gasses (GHGs) carbon dioxide (CO<sub>2</sub>), methane (CH<sub>4</sub>) and nitrous oxide (N<sub>2</sub>O) to the atmosphere. In the framework of the 2<sup>nd</sup><span>&nbsp;</span>phase of the REgional Carbon Cycle Assessment and Processes (RECCAP-2) initiative, we review the state of the art in estimating inland water GHG budgets at global scale, which has substantially advanced since the first phase of RECCAP nearly ten years ago. The development of increasingly sophisticated upscaling techniques, including statistical prediction and process based models, allows for spatially explicit estimates which are needed for regionalized assessments of continental GHG budgets such as those established for RECCAP. A few recent estimates also resolve the seasonal and/or interannual variability in inland water GHG emissions. Nonetheless, the global-scale assessment of inland water emissions remains challenging because of limited spatial and temporal coverage of observations and persisting uncertainties in the abundance and distribution of inland water surface areas. To decrease these uncertainties, more empirical work on the contributions of hot-spots and hot-moments to overall inland water GHG emissions is particularly needed.</p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2022GB007657","usgsCitation":"Lauerwald, R., Allen, G., Deemer, B., Liu, S., Maavara, T., Raymond, P., Alcott, L., Bastviken, D., Hastie, A., Holgerson, M.A., Johnson, M.S., Lehner, B., Lin, P., Marzadri, A., Ran, L., Tian, H., Yang, X., Yao, Y., and Regnier, P., 2023, Inland water greenhouse gas budgets for RECCAP2: 1. State-of-the-art of global scale assessments: Global Biogeochemical Cycles, v. 37, no. 5, e2022GB007657, 32 p., https://doi.org/10.1029/2022GB007657.","productDescription":"e2022GB007657, 32 p.","ipdsId":"IP-145371","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":443750,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1029/2022gb007657","text":"External Repository"},{"id":416486,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"5","noUsgsAuthors":false,"publicationDate":"2023-05-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Lauerwald, Ronny","contributorId":169950,"corporation":false,"usgs":false,"family":"Lauerwald","given":"Ronny","email":"","affiliations":[{"id":25638,"text":"University ofhamburg","active":true,"usgs":false}],"preferred":false,"id":870973,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allen, George H.","contributorId":257248,"corporation":false,"usgs":false,"family":"Allen","given":"George H.","affiliations":[{"id":51991,"text":"Department of Geography, Texas A&M University, College Station, TX, USA","active":true,"usgs":false}],"preferred":false,"id":870974,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":870975,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Liu, Shaoda","contributorId":257246,"corporation":false,"usgs":false,"family":"Liu","given":"Shaoda","email":"","affiliations":[{"id":51989,"text":"Yale School of Forestry and Environmental Studies, 195 Prospect Street, New Haven, CT, USA","active":true,"usgs":false}],"preferred":false,"id":870976,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Maavara, Taylor","contributorId":304577,"corporation":false,"usgs":false,"family":"Maavara","given":"Taylor","email":"","affiliations":[{"id":66117,"text":"Yale School of the Environment, Yale University, New Haven, CT, USA; School of Geography, University of Leeds, Leeds, LS2 9JT, UK","active":true,"usgs":false}],"preferred":false,"id":870977,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Raymond, Peter","contributorId":200764,"corporation":false,"usgs":false,"family":"Raymond","given":"Peter","affiliations":[],"preferred":false,"id":870978,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Alcott, Lewis","contributorId":304578,"corporation":false,"usgs":false,"family":"Alcott","given":"Lewis","email":"","affiliations":[{"id":66118,"text":"Department of Earth & Planetary Sciences, Yale University, New Haven, CT, USA","active":true,"usgs":false}],"preferred":false,"id":870979,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bastviken, David","contributorId":304579,"corporation":false,"usgs":false,"family":"Bastviken","given":"David","email":"","affiliations":[{"id":54595,"text":"Department of Thematic Studies - 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,{"id":70242907,"text":"ofr20231017 - 2023 - Near-field receiving-water monitoring of trace metals and a benthic community near the Palo Alto Regional Water Quality Control Plant in south San Francisco Bay, California—2020","interactions":[],"lastModifiedDate":"2026-02-11T20:47:08.566968","indexId":"ofr20231017","displayToPublicDate":"2023-04-24T13:31:08","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":"2023-1017","displayTitle":"Near-Field Receiving-Water Monitoring of Trace Metals and a Benthic Community Near the Palo Alto Regional Water Quality Control Plant in South San Francisco Bay, California—2020","title":"Near-field receiving-water monitoring of trace metals and a benthic community near the Palo Alto Regional Water Quality Control Plant in south San Francisco Bay, California—2020","docAbstract":"<p>Trace-metal concentrations in sediment and in the clam <i>Limecola petalum</i> (World Register of Marine Species, 2020; formerly reported as <i>Macoma balthica</i> and <i>M. petalum</i>), clam reproductive activity, and benthic macroinvertebrate community structure were investigated in a mudflat 1 kilometer (km) south of the discharge of the Palo Alto Regional Water Quality Control Plant (PARWQCP) in south San Francisco Bay, California. This report includes the data collected by the U.S. Geological Survey (USGS) for January 2020–December 2020 (Cain and others, 2022). These data append to long-term datasets extending back to 1974. A major focus of the report is an integrated description of the 2020 data within the context of the longer, multidecadal dataset. This dataset supports the City of Palo Alto’s Near-Field Receiving- Water Monitoring Program, initiated in 1994.</p><p>Silver and copper contamination substantially decreased at the site in the 1980s following the implementation by PARWQCP of advanced wastewater-treatment and source-control measures. Since the 1990s, concentrations of these elements in surface sediments have continued to decrease, although more slowly. For example, from 1994 to 2020, the minimum annual mean silver concentration—0.20 milligram per kilogram (mg/kg)—was observed in multiple years. In 2020, silver concentrations ranged from 0.18 to 0.28 mg/kg. These concentrations are 2 to 3 times higher than the regional background concentration. Presently (2020), sediment-copper concentrations appear to be near the regional background level. Over the same period (1994–2020), sedimentary iron and zinc exhibited modest decreases. Sedimentary aluminum, chromium, mercury, nickel, and selenium have not exhibited any trend. Since 1994, silver and copper concentrations in <i>L. petalum</i> have varied seasonally, apparently in response to a combination of site-specific metal exposures and cyclic growth and reproduction, as reported previously. Seasonal patterns for other elements, including chromium, mercury, nickel, selenium, and zinc, generally were similar in timing and magnitude as those for silver and copper. Downward trends in the silver and zinc concentrations in <i>L. petalum</i> during 1994–2020 were evident and appeared to be related to the general physiological condition of the clam, indicated by a condition index.</p><p>Biological effects of elevated silver and copper contamination at the Palo Alto site have been interpreted from data collected during and after the recession of these contaminants. Concentrations of both elements in the soft tissues of <i>L. petalum</i> decreased with sedimentary copper and silver. This pattern was associated with changes in the reproductive activity of <i>L. petalum</i>, as well as the structure of the benthic invertebrate community. Reproductive activity of <i>L. petalum</i> increased as metal concentrations in <i>L. petalum</i> decreased (Hornberger and others, 2000), and presently is stable with almost all animals initiating reproduction in the fall and spawning the following spring. Analyses of the benthic community structure indicate that the infaunal invertebrate community has shifted from one dominated by several opportunistic species when silver and copper exposures were highest to one in which the species abundance is more evenly distributed, a pattern that indicates a more stable community that is subjected to fewer stressors. Importantly, this long-term change is unrelated to other metals and other measured environmental factors, including salinity and sediment composition. In addition, two of the opportunistic species (<i>Ampelisca abdita</i> and <i>Streblospio benedicti</i>) that brood their young and live on the surface of the sediment in tubes have shown a continual decrease in dominance coincident with the decrease in metals. Both species had short-lived rebounds in abundance in 2008, 2009, and 2010 and showed signs of increasing abundance in 2020. <i>Heteromastus filiformis</i> (a subsurface polychaete worm that lives in the sediment, consumes sediment and organic particles residing in the sediment, and reproduces by laying its eggs on or in the sediment) showed a concurrent increase in dominance and, in the last several years before 2008, showed a stable population. <i>H. filiformis</i> abundance increased slightly from 2011 to 2012 and returned to pre-2011 numbers in 2020.</p><p>The reproductive mode of most species that were present in 2020 was indicative of species that were capable of movement either as pelagic larvae or as mobile adults. Although oviparous species were lower in number in this group, the authors hypothesize that these species will return slowly as more species move back into the area. The use of functional ecology was highlighted in the 2020 benthic community data, which showed that the animals that have now returned to the mudflat are those that can respond successfully to a physical, nontoxic disturbance. Today, community data show a mix of species that consume the sediment, or filter feed, those that have pelagic larvae that must survive landing on the sediment, and those that brood their young. The long-term recovery observed after the 1970s can be ascribed to the decrease in sediment pollutants.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20231017","collaboration":"Prepared in cooperation with the City of Palo Alto, California","usgsCitation":"Cain, D.J., Croteau, M.-N., Thompson, J.K., Parchaso, F., Stewart, R., Zierdt Smith, E.L., Shrader, K.H., Kieu, L.H., and Luoma, S.N., 2023, Near-field receiving-water monitoring of trace metals and a benthic community near the Palo Alto Regional Water Quality Control Plant in south San Francisco Bay, California—2020: U.S. Geological Survey Open-File Report 2023–1017, 51 p., https://doi.org/10.3133/ofr20231017.","productDescription":"Report: ix, 51 p.; Data Release","numberOfPages":"51","onlineOnly":"Y","ipdsId":"IP-133169","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":416134,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2023/1017/covrthb.jpg"},{"id":416135,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2023/1017/ofr20231017.pdf","text":"Report","size":"3 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":416139,"rank":6,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/ofr20181107","text":"Open-File Report 2018-1107","linkHelpText":"- Near-field receiving-water monitoring of trace metals and a benthic community near the Palo Alto Regional Water Quality Control Plant in south San Francisco Bay, California—2017"},{"id":416136,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9IBQ23S","text":"Data for monitoring trace metal and benthic community near the Palo Alto Regional Water Quality Control Plant in South San Francisco Bay, California (ver 2.0, November 2022)","description":"Cain, D.J., Croteau, M., Parchaso, F., Stewart, R., Zierdt Smith, E.L., Thompson, J.K., Kieu, L., Turner, M., and Baesman, S.M., 2022, Data for monitoring trace metal and benthic community near the Palo Alto Regional Water Quality Control Plant in South San Francisco Bay, California (ver 2.0, November 2022): U.S. Geological Survey data release, https://doi.org/10.5066/P9IBQ23S."},{"id":416140,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/ofr20171135","text":"Open-File Report 2017-1135","linkHelpText":"- Near-field receiving water monitoring of trace metals and a benthic community near the Palo Alto Regional Water Quality Control Plant in south San Francisco Bay, California; 2016"},{"id":499767,"rank":9,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_114697.htm","linkFileType":{"id":5,"text":"html"}},{"id":416137,"rank":8,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/ofr20211079","text":"Open-File Report 2021-1079","linkHelpText":"- Near-Field Receiving-Water Monitoring of Trace Metals and a Benthic Community Near the Palo Alto Regional Water Quality Control Plant in South San Francisco Bay, California—2019"},{"id":416138,"rank":7,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/ofr20191084","text":"Open-File Report 2019-1084","linkHelpText":"- Near-Field Receiving-Water Monitoring of Trace Metals and a Benthic Community Near the Palo Alto Regional Water Quality Control Plant in South San Francisco Bay, California—2018"},{"id":416141,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/ofr20161118","text":"Open-File Report 2016-1118","linkHelpText":"- Near-field receiving water monitoring of trace metals and a benthic community near the Palo Alto Regional Water Quality Control Plant in south San Francisco Bay, California; 2015"}],"country":"United States","state":"California","otherGeospatial":"South San Francisco Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.26067527634044,\n              37.52598582053362\n            ],\n            [\n              -122.26067527634044,\n              37.38564942805466\n            ],\n            [\n              -121.8210169399245,\n              37.38564942805466\n            ],\n            [\n              -121.8210169399245,\n              37.52598582053362\n            ],\n            [\n              -122.26067527634044,\n              37.52598582053362\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://www.usgs.gov/centers/gmeg/connect\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/gmeg/connect\">Contact Information</a>,<br><a href=\"https://www.usgs.gov/centers/gmeg\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/gmeg\">Geology, Minerals, Energy, &amp; Geophysics Science Center</a><br><a href=\"https://www.usgs.gov/centers/gmeg\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/gmeg\">Menlo Park, California</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov/\">U.S. Geological Survey</a><br>Building 19, 350 N. Akron Rd.<br>P.O. Box 158<br>Moffett Field, CA 94035</p>","tableOfContents":"<ul><li>Acknowledgments <br></li><li>Executive Summary of Past Findings <br></li><li>Abstract <br></li><li>Introduction <br></li><li>Methods <br></li><li>Results <br></li><li>Summary <br></li><li>References Cited <br></li><li>Appendix 1. Certified Concentrations and Recovery Percentages of Inorganic Elements in National Institute of Science and Technology Standard Reference Materials 2709a and 2711a, Prepared in 2020 <br></li><li>Appendix 2. Certified Concentrations and Recovery Percentages of Inorganic Elements in National Research Council Canada Certified Reference Material TORT-3 and National Institute of Science and Technology Standard Reference Material 1566b, Prepared in 2020 <br></li><li>Appendix 3. Mercury and Selenium Concentrations Determined in Sample Splits of Surface Sediments and Clam <em>Limecola petalum</em> Collected at Palo Alto Site, California, in 2020. <br></li><li>Appendix 4. Recovery Percentages (±Standard Deviation) of Mercury and Selenium in Standard Reference Materials, 2020 <br></li><li>Appendix 5. Method Detection Limits and Reporting Levels for Inductively Coupled Plasma Optical Emission Spectrophotometry Methods, in 2020 <br></li><li>Appendix 6. Statistical Summary of Silver and Copper Concentrations in Sediment and Clam <em>Limecola petalum</em> Collected at Palo Alto Site, California, in 2020 and in 1977–2020 <br></li><li>Appendix 7. Reproduction Data for Clam <em>Limecola petalum</em> Collected at Palo Alto Site, California, in 2015–2020 <br></li><li>Appendix 8. Complete List of Benthic Species Found at Palo Alto Site, California, in 2020 Appendix 9. Benthic Species Name Changes as of 2020</li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2023-04-24","noUsgsAuthors":false,"publicationDate":"2023-04-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Cain, Daniel J. 0000-0002-3443-0493 djcain@usgs.gov","orcid":"https://orcid.org/0000-0002-3443-0493","contributorId":1784,"corporation":false,"usgs":true,"family":"Cain","given":"Daniel","email":"djcain@usgs.gov","middleInitial":"J.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":870177,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Croteau, Marie Noele 0000-0003-0346-3580 mcroteau@usgs.gov","orcid":"https://orcid.org/0000-0003-0346-3580","contributorId":895,"corporation":false,"usgs":true,"family":"Croteau","given":"Marie","email":"mcroteau@usgs.gov","middleInitial":"Noele","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":870178,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, Janet K. 0000-0002-1528-8452 jthompso@usgs.gov","orcid":"https://orcid.org/0000-0002-1528-8452","contributorId":1009,"corporation":false,"usgs":true,"family":"Thompson","given":"Janet","email":"jthompso@usgs.gov","middleInitial":"K.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":true,"id":870179,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Parchaso, Francis 0000-0002-9471-7787 parchaso@usgs.gov","orcid":"https://orcid.org/0000-0002-9471-7787","contributorId":173016,"corporation":false,"usgs":true,"family":"Parchaso","given":"Francis","email":"parchaso@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":870180,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stewart, A. Robin 0000-0003-2918-546X arstewar@usgs.gov","orcid":"https://orcid.org/0000-0003-2918-546X","contributorId":1482,"corporation":false,"usgs":true,"family":"Stewart","given":"A.","email":"arstewar@usgs.gov","middleInitial":"Robin","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":40553,"text":"WMA - Office of the Chief Operating Officer","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":true,"id":870181,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zierdt Smith, Emily L. 0000-0003-0787-1856 ezierdtsmith@usgs.gov","orcid":"https://orcid.org/0000-0003-0787-1856","contributorId":220320,"corporation":false,"usgs":true,"family":"Zierdt Smith","given":"Emily","email":"ezierdtsmith@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":870182,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Shrader, Kelly H. 0000-0001-6550-7425 kshrader@usgs.gov","orcid":"https://orcid.org/0000-0001-6550-7425","contributorId":220319,"corporation":false,"usgs":true,"family":"Shrader","given":"Kelly","email":"kshrader@usgs.gov","middleInitial":"H.","affiliations":[],"preferred":true,"id":870183,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kieu, Le H. lkieu@usgs.gov","contributorId":206905,"corporation":false,"usgs":false,"family":"Kieu","given":"Le H.","email":"lkieu@usgs.gov","affiliations":[],"preferred":false,"id":870184,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Luoma, Samuel N. 0000-0001-5443-5091 snluoma@usgs.gov","orcid":"https://orcid.org/0000-0001-5443-5091","contributorId":2287,"corporation":false,"usgs":true,"family":"Luoma","given":"Samuel","email":"snluoma@usgs.gov","middleInitial":"N.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":870185,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70243122,"text":"70243122 - 2023 - A novel assembly pipeline and functional annotations for targeted sequencing: A case study on the globally threatened Margaritiferidae (Bivalvia: Unionida)","interactions":[],"lastModifiedDate":"2023-07-11T15:58:46.447837","indexId":"70243122","displayToPublicDate":"2023-04-24T06:55:01","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2776,"text":"Molecular Ecology Resources","active":true,"publicationSubtype":{"id":10}},"title":"A novel assembly pipeline and functional annotations for targeted sequencing: A case study on the globally threatened Margaritiferidae (Bivalvia: Unionida)","docAbstract":"<div class=\"abstract-group \"><div class=\"article-section__content en main\"><p>The proliferation of genomic sequencing approaches has significantly impacted the field of phylogenetics. Target capture approaches provide a cost-effective, fast and easily applied strategy for phylogenetic inference of non-model organisms. However, several existing target capture processing pipelines are incapable of incorporating whole genome sequencing (WGS). Here, we develop a new pipeline for capture and<span>&nbsp;</span><i>de novo</i><span>&nbsp;</span>assembly of the targeted regions using whole genome re-sequencing reads. This new pipeline captured targeted loci accurately, and given its unbiased nature, can be used with any target capture probe set. Moreover, due to its low computational demand, this new pipeline may be ideal for users with limited resources and when high-coverage sequencing outputs are required. We demonstrate the utility of our approach by incorporating WGS data into the first comprehensive phylogenomic reconstruction of the freshwater mussel family Margaritiferidae. We also provide a catalogue of well-curated functional annotations of these previously uncharacterized freshwater mussel-specific target regions, representing a complementary tool for scrutinizing phylogenetic inferences while expanding future applications of the probe set.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1111/1755-0998.13802","usgsCitation":"Gomes-dos-Santos, A., Froufe, E., Pfeiffer, J., Johnson, N., Smith, C.H., Machado, A.M., Castro, L.F., Do, V.T., Hattori, A., Garrison, N., Whelan, N., Bolotov, I.N., Vikhrev, I.V., Kondakov, A.V., Ghamizi, M., Prie, V., Bogan, A.E., and Lopes Lima, M., 2023, A novel assembly pipeline and functional annotations for targeted sequencing: A case study on the globally threatened Margaritiferidae (Bivalvia: Unionida): Molecular Ecology Resources, v. 23, no. 6, p. 1403-1422, https://doi.org/10.1111/1755-0998.13802.","productDescription":"20 p.","startPage":"1403","endPage":"1422","ipdsId":"IP-146793","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":443758,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1755-0998.13802","text":"Publisher Index Page"},{"id":416544,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"23","issue":"6","noUsgsAuthors":false,"publicationDate":"2023-04-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Gomes-dos-Santos, André","contributorId":304609,"corporation":false,"usgs":false,"family":"Gomes-dos-Santos","given":"André","affiliations":[{"id":66130,"text":"CIIMAR/CIMAR - Interdisciplinary Centre of Marine and Environmental Research, University of Porto, Matosinhos, Portugal","active":true,"usgs":false}],"preferred":false,"id":871146,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Froufe, Elsa","contributorId":213253,"corporation":false,"usgs":false,"family":"Froufe","given":"Elsa","email":"","affiliations":[],"preferred":false,"id":871147,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pfeiffer, John M.","contributorId":202521,"corporation":false,"usgs":false,"family":"Pfeiffer","given":"John M.","affiliations":[{"id":36469,"text":"Florida Museum of Natural History","active":true,"usgs":false}],"preferred":false,"id":871148,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Nathan 0000-0001-5167-1988","orcid":"https://orcid.org/0000-0001-5167-1988","contributorId":210319,"corporation":false,"usgs":true,"family":"Johnson","given":"Nathan","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":871149,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smith, Chase H. 0000-0002-1499-0311","orcid":"https://orcid.org/0000-0002-1499-0311","contributorId":225140,"corporation":false,"usgs":false,"family":"Smith","given":"Chase","email":"","middleInitial":"H.","affiliations":[{"id":13716,"text":"Baylor University","active":true,"usgs":false}],"preferred":false,"id":871150,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Machado, Andre M.","contributorId":304610,"corporation":false,"usgs":false,"family":"Machado","given":"Andre","email":"","middleInitial":"M.","affiliations":[{"id":66132,"text":"CIIMAR/CIMAR–Interdisciplinary Centre of Marine and Environmental Research, University of Porto, Matosinhos, Portugal","active":true,"usgs":false}],"preferred":false,"id":871151,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Castro, L. Filipe C.","contributorId":304611,"corporation":false,"usgs":false,"family":"Castro","given":"L.","email":"","middleInitial":"Filipe C.","affiliations":[{"id":66130,"text":"CIIMAR/CIMAR - Interdisciplinary Centre of Marine and Environmental Research, University of Porto, Matosinhos, Portugal","active":true,"usgs":false}],"preferred":false,"id":871152,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Do, Van Tu","contributorId":304612,"corporation":false,"usgs":false,"family":"Do","given":"Van","email":"","middleInitial":"Tu","affiliations":[{"id":66133,"text":"Vietnam Academy of Science and Technology","active":true,"usgs":false}],"preferred":false,"id":871153,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hattori, Akimasa","contributorId":304613,"corporation":false,"usgs":false,"family":"Hattori","given":"Akimasa","email":"","affiliations":[{"id":66134,"text":"Matsuyama High School","active":true,"usgs":false}],"preferred":false,"id":871154,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Garrison, Nicole","contributorId":304614,"corporation":false,"usgs":false,"family":"Garrison","given":"Nicole","email":"","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":871155,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Whelan, Nathan V.","contributorId":304024,"corporation":false,"usgs":false,"family":"Whelan","given":"Nathan V.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":871156,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Bolotov, Ivan N.","contributorId":304615,"corporation":false,"usgs":false,"family":"Bolotov","given":"Ivan","email":"","middleInitial":"N.","affiliations":[{"id":49898,"text":"Russian Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":871157,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Vikhrev, Ilya V.","contributorId":304616,"corporation":false,"usgs":false,"family":"Vikhrev","given":"Ilya","email":"","middleInitial":"V.","affiliations":[{"id":49898,"text":"Russian Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":871158,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Kondakov, Alexander V.","contributorId":304617,"corporation":false,"usgs":false,"family":"Kondakov","given":"Alexander","email":"","middleInitial":"V.","affiliations":[{"id":49898,"text":"Russian Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":871159,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Ghamizi, Mohamed","contributorId":304618,"corporation":false,"usgs":false,"family":"Ghamizi","given":"Mohamed","email":"","affiliations":[{"id":66135,"text":"University of Cadi Ayyad","active":true,"usgs":false}],"preferred":false,"id":871160,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Prie, Vincent","contributorId":213294,"corporation":false,"usgs":false,"family":"Prie","given":"Vincent","email":"","affiliations":[],"preferred":false,"id":871161,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Bogan, Arthur E.","contributorId":198854,"corporation":false,"usgs":false,"family":"Bogan","given":"Arthur","email":"","middleInitial":"E.","affiliations":[{"id":35349,"text":"North Carolina State Museum of Natural Sciences","active":true,"usgs":false}],"preferred":false,"id":871162,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Lopes Lima, Manuel","contributorId":304619,"corporation":false,"usgs":false,"family":"Lopes Lima","given":"Manuel","email":"","affiliations":[{"id":66130,"text":"CIIMAR/CIMAR - Interdisciplinary Centre of Marine and Environmental Research, University of Porto, Matosinhos, Portugal","active":true,"usgs":false}],"preferred":false,"id":871163,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}}
,{"id":70263407,"text":"70263407 - 2023 - Earthquake detection with tinyML","interactions":[],"lastModifiedDate":"2025-02-10T15:44:17.596407","indexId":"70263407","displayToPublicDate":"2023-04-24T00:00:00","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Earthquake detection with tinyML","docAbstract":"<p><span>Earthquake detection is the critical first step in earthquake early warning (EEW) systems. For robust EEW systems, detection accuracy, detection latency, and sensor density are critical to providing real‐time earthquake alerts. Traditional EEW systems use fixed sensor networks or, more recently, networks of mobile phones equipped with microelectromechanical systems (MEMS) accelerometers. Internet of things edge devices, with built‐in tiny machine learning (tinyML) capable microcontrollers, and always‐on, internet‐connected, stationary MEMS accelerometers provide the opportunity to deploy ML‐based earthquake detection and warning using a single‐station approach at a global scale. Here, I test and evaluate tinyML deep learning algorithms for earthquake detection on a microcontroller. I show that the tinyML earthquake detection models can generalize to earthquakes outside the training set.</span></p>","language":"English","publisher":"GeoScienceWorld","doi":"10.1785/0220220322","usgsCitation":"Clements, T., 2023, Earthquake detection with tinyML: Seismological Research Letters, v. 94, no. 4, p. 2030-2039, https://doi.org/10.1785/0220220322.","productDescription":"10 p.","startPage":"2030","endPage":"2039","ipdsId":"IP-145890","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":481861,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"94","issue":"4","noUsgsAuthors":false,"publicationDate":"2023-04-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Clements, Timothy Hugh 0000-0001-6632-1796","orcid":"https://orcid.org/0000-0001-6632-1796","contributorId":350753,"corporation":false,"usgs":true,"family":"Clements","given":"Timothy Hugh","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":926877,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70268406,"text":"70268406 - 2023 - Chapter 12 - Explainable AI for understanding ML-derived vegetation products","interactions":[],"lastModifiedDate":"2025-06-25T14:17:08.250239","indexId":"70268406","displayToPublicDate":"2023-04-23T09:15:24","publicationYear":"2023","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Chapter 12 - Explainable AI for understanding ML-derived vegetation products","docAbstract":"<p><span>Current machine learning applications and algorithms have developed promise to produce autonomous systems that automatically perceive, learn, predict, and act on their own. However, the effectiveness of these systems is limited by the machine's current inability to explain their decisions, algorithmic paths, and actions to human users. The purpose of this chapter is to apply explainable artificial intelligence (XAI) to black-box models using an example of the&nbsp;</span><a class=\"topic-link\" title=\"Learn more about U.S. from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/united-states-of-america\" data-mce-href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/united-states-of-america\">U.S.</a><span>&nbsp;Geological Survey's LANDFIRE Existing Vegetation Type (EVT). This chapter also demonstrates the tools developed to assist scientists/analysts in understanding and trusting prediction outcomes of vegetation type that streamline development of the LANDFIRE EVT product.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Artificial intelligence in earth science: Best practices and fundamental challenges","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Elsevier Inc","doi":"10.1016/B978-0-323-91737-7.00008-6","usgsCitation":"Ganji, G., and Chow Lin, W., 2023, Chapter 12 - Explainable AI for understanding ML-derived vegetation products, chap. <i>of</i> Artificial intelligence in earth science: Best practices and fundamental challenges, p. 317-335, https://doi.org/10.1016/B978-0-323-91737-7.00008-6.","productDescription":"19 p.","startPage":"317","endPage":"335","ipdsId":"IP-135266","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":491276,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2023-04-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Ganji, Geetha Satya Mounika 0000-0003-2763-2617","orcid":"https://orcid.org/0000-0003-2763-2617","contributorId":357334,"corporation":false,"usgs":false,"family":"Ganji","given":"Geetha Satya Mounika","affiliations":[{"id":85411,"text":"KBR under contract to the USGS","active":true,"usgs":false}],"preferred":false,"id":941237,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chow Lin, Wai Hang 0000-0003-0628-7711","orcid":"https://orcid.org/0000-0003-0628-7711","contributorId":357335,"corporation":false,"usgs":false,"family":"Chow Lin","given":"Wai Hang","affiliations":[{"id":85411,"text":"KBR under contract to the USGS","active":true,"usgs":false}],"preferred":false,"id":941238,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70248270,"text":"70248270 - 2023 - Exploring the relevance of the multidimensionality of wildlife recreationists to conservation behaviors: A case study in Virginia","interactions":[],"lastModifiedDate":"2023-09-06T12:26:20.072182","indexId":"70248270","displayToPublicDate":"2023-04-23T07:22:30","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5803,"text":"Conservation Science and Practice","active":true,"publicationSubtype":{"id":10}},"title":"Exploring the relevance of the multidimensionality of wildlife recreationists to conservation behaviors: A case study in Virginia","docAbstract":"<div class=\"abstract-group \"><div class=\"article-section__content en main\"><p>Wildlife recreationists' participation in conservation behaviors could provide key support to the conservation efforts of state fish and wildlife agencies. However, little is known about how identifying with multiple forms of wildlife recreation (i.e., hunters, anglers, birders, wildlife viewers) may influence participation in conservation behaviors, specifically for supporting state fish and wildlife agencies and their conservation goals. Using a mixed-mode survey of Virginia wildlife recreationists, we explored the hypothesized relationship between individuals' participation in conservation behaviors and their identification with multiple forms of consumptive and nonconsumptive wildlife recreation. We found wildlife recreation identity is multidimensional, with many individuals identifying with consumptive and nonconsumptive identities simultaneously. Further, consumptive-only recreationists (i.e., hunters and/or anglers) participated in conservation behaviors less often than nonconsumptive-only recreationists (i.e., birders and/or wildlife viewers) and recreationists with both consumptive and nonconsumptive identities were less likely to support a state fish and wildlife agency in the future. Our findings underscore the importance of all types of wildlife recreationists, especially those with intersecting identities, as state fish and wildlife agencies work to advance conservation. Hence, developing multi-faceted engagement strategies may enhance support for state fish and wildlife agencies among their growing wildlife recreation constituency.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1111/csp2.12915","usgsCitation":"Grooms, B., Dayer, A., Barnes, J., Peele, A., Rutter, J., and Cole, N.W., 2023, Exploring the relevance of the multidimensionality of wildlife recreationists to conservation behaviors: A case study in Virginia: Conservation Science and Practice, v. 5, no. 6, e12915, 12 p., https://doi.org/10.1111/csp2.12915.","productDescription":"e12915, 12 p.","ipdsId":"IP-135275","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":443771,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/csp2.12915","text":"Publisher Index Page"},{"id":420545,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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 \"}}]}","volume":"5","issue":"6","noUsgsAuthors":false,"publicationDate":"2023-04-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Grooms, Bennett","contributorId":329389,"corporation":false,"usgs":false,"family":"Grooms","given":"Bennett","email":"","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":882169,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dayer, Ashley A.","contributorId":278637,"corporation":false,"usgs":false,"family":"Dayer","given":"Ashley A.","affiliations":[{"id":36967,"text":"Virginia Tech University","active":true,"usgs":false}],"preferred":false,"id":882170,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barnes, Jessica","contributorId":329390,"corporation":false,"usgs":false,"family":"Barnes","given":"Jessica","email":"","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":882171,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Peele, Ashley","contributorId":329391,"corporation":false,"usgs":false,"family":"Peele","given":"Ashley","email":"","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":882172,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rutter, Jonathan D.","contributorId":278638,"corporation":false,"usgs":false,"family":"Rutter","given":"Jonathan D.","affiliations":[{"id":36967,"text":"Virginia Tech University","active":true,"usgs":false}],"preferred":false,"id":882173,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cole, Nicholas W. 0000-0003-1204-971X","orcid":"https://orcid.org/0000-0003-1204-971X","contributorId":278636,"corporation":false,"usgs":true,"family":"Cole","given":"Nicholas","email":"","middleInitial":"W.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":882174,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70242978,"text":"70242978 - 2023 - Improving ecological data science with workflow management software","interactions":[],"lastModifiedDate":"2023-06-09T15:20:05.233341","indexId":"70242978","displayToPublicDate":"2023-04-23T06:35:16","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Improving ecological data science with workflow management software","docAbstract":"<ol class=\"\"><li>Pressing environmental research questions demand the integration of increasingly diverse and large-scale ecological datasets as well as complex analytical methods, which require specialized tools and resources.</li><li>Computational training for ecological and evolutionary sciences has become more abundant and accessible over the past decade, but tool development has outpaced the availability of specialized training. Most training for scripted analyses focuses on individual analysis steps in one script rather than creating a scripted pipeline, where modular functions comprise an ecosystem of interdependent steps. Although current computational training creates an excellent starting place, linear styles of scripting can risk becoming labor- and time-intensive and less reproducible by often requiring manual execution. Pipelines, however, can be easily automated or tracked by software to increase efficiency and reduce potential errors. Ecology and evolution would benefit from techniques that reduce these risks by managing analytical pipelines in a modular, readily parallelizable format with clear documentation of dependencies.</li><li>Workflow management software (WMS) can aid in the reproducibility, intelligibility and computational efficiency of complex pipelines. To date, WMS adoption in ecology and evolutionary research has been slow. We discuss the benefits and challenges of implementing WMS and illustrate its use through a case study with the<span>&nbsp;</span><span class=\"smallCaps\">targets r</span><span>&nbsp;</span>package to further highlight WMS benefits through workflow automation, dependency tracking and improved clarity for reviewers.</li><li>Although WMS requires familiarity with function-oriented programming and careful planning for more advanced applications and pipeline sharing, investment in training will enable access to the benefits of WMS and impart transferable computing skills that can facilitate ecological and evolutionary data science at large scales.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/2041-210X.14113","usgsCitation":"Brousil, M.R., Filazzola, A., Meyer, M.F., Sharma, S., and Hampton, S.E., 2023, Improving ecological data science with workflow management software: Methods in Ecology and Evolution, v. 14, no. 6, p. 1381-1388, https://doi.org/10.1111/2041-210X.14113.","productDescription":"8 p.","startPage":"1381","endPage":"1388","ipdsId":"IP-140385","costCenters":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":443781,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/2041-210x.14113","text":"Publisher Index Page"},{"id":416226,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"6","noUsgsAuthors":false,"publicationDate":"2023-04-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Brousil, Matthew R.","contributorId":244071,"corporation":false,"usgs":false,"family":"Brousil","given":"Matthew","email":"","middleInitial":"R.","affiliations":[{"id":37380,"text":"Washington State University","active":true,"usgs":false}],"preferred":false,"id":870414,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Filazzola, Alessandro","contributorId":297335,"corporation":false,"usgs":false,"family":"Filazzola","given":"Alessandro","email":"","affiliations":[{"id":16184,"text":"York University","active":true,"usgs":false}],"preferred":false,"id":870415,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Meyer, Michael Frederick 0000-0002-8034-9434 mmeyer@usgs.gov","orcid":"https://orcid.org/0000-0002-8034-9434","contributorId":304191,"corporation":false,"usgs":true,"family":"Meyer","given":"Michael","email":"mmeyer@usgs.gov","middleInitial":"Frederick","affiliations":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"preferred":true,"id":870416,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sharma, Sapna","contributorId":150332,"corporation":false,"usgs":false,"family":"Sharma","given":"Sapna","email":"","affiliations":[{"id":16184,"text":"York University","active":true,"usgs":false}],"preferred":false,"id":870417,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hampton, Stephanie E.","contributorId":178718,"corporation":false,"usgs":false,"family":"Hampton","given":"Stephanie","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":870418,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70243125,"text":"70243125 - 2023 - Quantifying uncertainty in coastal salinity regime for biological application using quantile regression","interactions":[],"lastModifiedDate":"2023-06-08T14:40:44.220444","indexId":"70243125","displayToPublicDate":"2023-04-23T06:21:19","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying uncertainty in coastal salinity regime for biological application using quantile regression","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><p>Salinity regimes in coastal ecosystems are highly dynamic and driven by complex geomorphic and hydrological processes. Estuarine biota are generally adapted to salinity fluctuation, but are vulnerable to salinity extremes. Characterizing coastal salinity regime for ecological studies therefore requires representing extremes of salinity ranges at time scales relevant to ecology (e.g., daily, monthly, and seasonally). Here, we propose a framework for modeling coastal salinity with these overall goals: (1) quantify uncertainty in salinity associated with important terrestrial and oceanographic drivers, (2) examine time scales of salinity response to river streamflow events, and (3) predict salinity continuously over space at key time scales. Salinity is modeled as quantile surfaces related to river discharge, tidal dynamics, wind, and spatial location, applied to Suwannee Sound estuary, FL, USA, where salinity has been monitored spatially since 1981. Each quantile level is regressed independently, and together they comprise a distribution of salinity uncertainty across space, with upper and lower quantiles describing salinity extremes. Effects of physical drivers on salinity are compared through four base models with various combinations of tide and wind variables, each including spatial coordinates and a single streamflow metric (in cubic meters per second). Multiple time scales of streamflow are considered by taking means across various periods, from 1 to 12 days, and at various lagged intervals prior to salinity sample, totaling 144 streamflow metrics. We found that the Suwannee coastal salinity regime is dynamic at multiple time scales and varies nonlinearly across space from the river effluence outward. Salinity increases nonlinearly with decreasing river flow rates below 200 m<sup>3</sup>/s, most prominently in the lower quantiles of salinity (τ = 0.05–0.25). Wind appears to have a stronger influence on salinity than astronomic tides for this estuary. The regression approach developed here can be applied to any coastal system that has sufficient spatial and temporal monitoring coverage to capture multiple flood and drought events. It is implemented with a simple<span>&nbsp;</span><i>R</i><span>&nbsp;</span>routine, and is less computationally-intensive than finite difference hydrodynamic modeling. The characterizations of salinity uncertainty developed in these analyses can be directly applied to future studies of fish and wildlife responses to changes in watershed management.</p></div></div>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.4488","usgsCitation":"Yurek, S., Allen, M., Eaton, M.J., Chagaris, D., Reaver, N., Martin, J., Frederick, P., and Dehaven, M., 2023, Quantifying uncertainty in coastal salinity regime for biological application using quantile regression: Ecosphere, v. 14, no. 4, e4488, 20 p.; Data Release, https://doi.org/10.1002/ecs2.4488.","productDescription":"e4488, 20 p.; Data Release","ipdsId":"IP-133497","costCenters":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":443784,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.4488","text":"Publisher Index Page"},{"id":416537,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":417817,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P934VZ8K"}],"country":"United States","state":"Florida","otherGeospatial":"Suwannee River watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -83.82437438143467,\n              30.749566917366053\n            ],\n            [\n              -83.82437438143467,\n              28.999008592647584\n            ],\n            [\n              -82.30495953005105,\n              28.999008592647584\n            ],\n            [\n              -82.30495953005105,\n              30.749566917366053\n            ],\n            [\n              -83.82437438143467,\n              30.749566917366053\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"14","issue":"4","noUsgsAuthors":false,"publicationDate":"2023-04-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Yurek, Simeon 0000-0002-6209-7915","orcid":"https://orcid.org/0000-0002-6209-7915","contributorId":216733,"corporation":false,"usgs":true,"family":"Yurek","given":"Simeon","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":871171,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allen, Micheal S","contributorId":239622,"corporation":false,"usgs":false,"family":"Allen","given":"Micheal S","affiliations":[{"id":47938,"text":"Fisheries and Aquatic Sciences Program, University of Florida","active":true,"usgs":false}],"preferred":false,"id":871172,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eaton, Mitchell J. 0000-0001-7324-6333","orcid":"https://orcid.org/0000-0001-7324-6333","contributorId":213526,"corporation":false,"usgs":true,"family":"Eaton","given":"Mitchell","middleInitial":"J.","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":871173,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chagaris, David","contributorId":304514,"corporation":false,"usgs":false,"family":"Chagaris","given":"David","email":"","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":871174,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reaver, Nathan","contributorId":304513,"corporation":false,"usgs":false,"family":"Reaver","given":"Nathan","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":871175,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Martin, Julien 0000-0002-7375-129X","orcid":"https://orcid.org/0000-0002-7375-129X","contributorId":218445,"corporation":false,"usgs":true,"family":"Martin","given":"Julien","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":871176,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Frederick, Peter C","contributorId":150013,"corporation":false,"usgs":false,"family":"Frederick","given":"Peter C","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":871177,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dehaven, Mark","contributorId":304518,"corporation":false,"usgs":false,"family":"Dehaven","given":"Mark","email":"","affiliations":[{"id":66093,"text":"Florida Department of Agriculture and Consumer Services","active":true,"usgs":false}],"preferred":false,"id":871178,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70242865,"text":"pp1842OO - 2023 - The effects of management practices on grassland birds—Dickcissel (<em>Spiza americana</em>)","interactions":[{"subject":{"id":70242865,"text":"pp1842OO - 2023 - The effects of management practices on grassland birds—Dickcissel (<em>Spiza americana</em>)","indexId":"pp1842OO","publicationYear":"2023","noYear":false,"chapter":"OO","displayTitle":"The Effects of Management Practices on Grassland Birds—Dickcissel (<em>Spiza americana</em>)","title":"The effects of management practices on grassland birds—Dickcissel (<em>Spiza americana</em>)"},"predicate":"IS_PART_OF","object":{"id":70203022,"text":"pp1842 - 2019 - The effects of management practices on grassland birds","indexId":"pp1842","publicationYear":"2019","noYear":false,"title":"The effects of management practices on grassland birds"},"id":1}],"isPartOf":{"id":70203022,"text":"pp1842 - 2019 - The effects of management practices on grassland birds","indexId":"pp1842","publicationYear":"2019","noYear":false,"title":"The effects of management practices on grassland birds"},"lastModifiedDate":"2023-12-19T13:56:17.871926","indexId":"pp1842OO","displayToPublicDate":"2023-04-21T10:03:14","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1842","chapter":"OO","displayTitle":"The Effects of Management Practices on Grassland Birds—Dickcissel (<em>Spiza americana</em>)","title":"The effects of management practices on grassland birds—Dickcissel (<em>Spiza americana</em>)","docAbstract":"<p>Keys to Dickcissel (<i>Spiza americana</i>) management include providing dense, moderate-to-tall vegetation, particularly with a well-developed forb component, and moderately deep litter. Dickcissels have been reported to use grassland habitats with 4–166 centimeters (cm) average vegetation height, 6–85 cm visual obstruction reading, 11–68 percent grass cover, 1–86 percent forb cover, less than or equal to (≤) 10 percent shrub cover, less than (&lt;) 27 percent bare ground cover, &lt;30 percent litter cover, and ≤ 6 cm litter depth.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1842OO","usgsCitation":"Shaffer, J.A., Igl, L.D., Johnson, D.H., Sondreal, M.L., Goldade, C.M., Zimmerman, A.L., and Euliss, B.R., 2023, The effects of management practices on grassland birds—Dickcissel (<em>Spiza americana</em>), chap. OO <em>of</em> Johnson, D.H., Igl, L.D., Shaffer, J.A., and DeLong, J.P., eds., The effects of management practices on grassland birds: U.S. Geological Survey Professional Paper 1842, 47 p., https://doi.org/10.3133/pp1842OO.","productDescription":"v, 47 p.","numberOfPages":"58","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-097130","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":416091,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/pp/1842/oo/coverthb.jpg"},{"id":416092,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1842/oo/pp1842oo.pdf","text":"Report","size":"2.24 MB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1842–OO"}],"contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/npwrc\" data-mce-href=\"https://www.usgs.gov/centers/npwrc\">Northern Prairie Wildlife Research Center</a><br>U.S. Geological Survey<br>8711 37th Street Southeast<br>Jamestown, ND 58401</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>Capsule Statement</li><li>Breeding Range</li><li>Suitable Habitat</li><li>Area Requirements and Landscape Associations</li><li>Brood Parasitism by Cowbirds and Other Species</li><li>Breeding-Season Phenology and Site Fidelity</li><li>Species’ Response to Management</li><li>Management Recommendations from the Literature</li><li>References</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2023-04-21","noUsgsAuthors":false,"publicationDate":"2023-04-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Shaffer, Jill A. 0000-0003-3172-0708 jshaffer@usgs.gov","orcid":"https://orcid.org/0000-0003-3172-0708","contributorId":3184,"corporation":false,"usgs":true,"family":"Shaffer","given":"Jill","email":"jshaffer@usgs.gov","middleInitial":"A.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":870048,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Igl, Lawrence D. 0000-0003-0530-7266 ligl@usgs.gov","orcid":"https://orcid.org/0000-0003-0530-7266","contributorId":2381,"corporation":false,"usgs":true,"family":"Igl","given":"Lawrence","email":"ligl@usgs.gov","middleInitial":"D.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":870049,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Douglas H. 0000-0002-7778-6641 douglas_h_johnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7778-6641","contributorId":1387,"corporation":false,"usgs":true,"family":"Johnson","given":"Douglas","email":"douglas_h_johnson@usgs.gov","middleInitial":"H.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":870051,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sondreal, Marriah L.","contributorId":215631,"corporation":false,"usgs":false,"family":"Sondreal","given":"Marriah","email":"","middleInitial":"L.","affiliations":[{"id":39297,"text":"former U.S. Geological Survey employee","active":true,"usgs":false}],"preferred":false,"id":870052,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Goldade, Christopher M.","contributorId":215632,"corporation":false,"usgs":false,"family":"Goldade","given":"Christopher","email":"","middleInitial":"M.","affiliations":[{"id":39297,"text":"former U.S. Geological Survey employee","active":true,"usgs":false}],"preferred":false,"id":870053,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zimmerman, Amy L.","contributorId":69087,"corporation":false,"usgs":true,"family":"Zimmerman","given":"Amy L.","affiliations":[{"id":39297,"text":"former U.S. Geological Survey employee","active":true,"usgs":false}],"preferred":false,"id":870054,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Euliss, Betty R.","contributorId":58218,"corporation":false,"usgs":true,"family":"Euliss","given":"Betty R.","affiliations":[{"id":39297,"text":"former U.S. Geological Survey employee","active":true,"usgs":false}],"preferred":false,"id":870055,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70246693,"text":"70246693 - 2023 - The potential for coral reef restoration to mitigate coastal flooding as sea levels rise","interactions":[],"lastModifiedDate":"2023-07-17T12:28:39.79433","indexId":"70246693","displayToPublicDate":"2023-04-21T07:24:55","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2842,"text":"Nature Communications","active":true,"publicationSubtype":{"id":10}},"title":"The potential for coral reef restoration to mitigate coastal flooding as sea levels rise","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>The ability of reefs to protect coastlines from storm-driven flooding hinges on their capacity to keep pace with sea-level rise. Here, we show how and whether coral restoration could achieve the often-cited goal of reversing the impacts of coral-reef degradation to preserve this essential function. We combined coral-growth measurements and carbonate-budget assessments of reef-accretion potential at Buck Island Reef, U.S. Virgin Islands, with hydrodynamic modeling to quantify future coastal flooding under various coral-restoration, sea-level rise, and storm scenarios. Our results provide guidance on how restoration of<span>&nbsp;</span><i>Acropora palmata</i>, if successful, could mitigate the most extreme impacts of coastal flooding by reversing projected trajectories of reef erosion and allowing reefs to keep pace with the ~0.5 m of sea-level rise expected by 2100 with moderate carbon-emissions reductions. This highlights the potential long-term benefits of pursuing coral-reef restoration alongside climate-change mitigation to support the persistence of essential coral-reef ecosystem services.</p></div></div>","language":"English","publisher":"Nature","doi":"10.1038/s41467-023-37858-2","usgsCitation":"Toth, L., Storlazzi, C.D., Whitcher, E.M., Kuffner, I.B., Quataert, E., Reyns, J., McCall, R.T., Stathakopoulos, A., Hillis-Starr, Z., Holloway, N.H., Ewen, K.A., Pollock, C.G., Code, T., and Aronson, R.B., 2023, The potential for coral reef restoration to mitigate coastal flooding as sea levels rise: Nature Communications, v. 14, 2313, 13 p., https://doi.org/10.1038/s41467-023-37858-2.","productDescription":"2313, 13 p.","ipdsId":"IP-141088","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":494971,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P947RPG4","text":"USGS data release","linkHelpText":"Model parameter input files to compare the influence of coral reef carbonate budgets on alongshore variations in wave-driven total water levels on Buck Island Reef National Monument"},{"id":443786,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41467-023-37858-2","text":"Publisher Index Page"},{"id":419001,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"U.S. Virgin Islands, Buck Island Reef National Monument","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -64.63585583885046,\n              17.798352721496258\n            ],\n            [\n              -64.63585583885046,\n              17.779287774195836\n            ],\n            [\n              -64.60457110482618,\n              17.779287774195836\n            ],\n            [\n              -64.60457110482618,\n              17.798352721496258\n            ],\n            [\n              -64.63585583885046,\n              17.798352721496258\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"14","noUsgsAuthors":false,"publicationDate":"2023-04-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Toth, Lauren T. 0000-0002-2568-802X ltoth@usgs.gov","orcid":"https://orcid.org/0000-0002-2568-802X","contributorId":181748,"corporation":false,"usgs":true,"family":"Toth","given":"Lauren","email":"ltoth@usgs.gov","middleInitial":"T.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":877999,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":213610,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt","middleInitial":"D.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":878000,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Whitcher, Elizabeth M.","contributorId":214862,"corporation":false,"usgs":false,"family":"Whitcher","given":"Elizabeth","email":"","middleInitial":"M.","affiliations":[{"id":17748,"text":"Florida Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":878001,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kuffner, Ilsa B. 0000-0001-8804-7847 ikuffner@usgs.gov","orcid":"https://orcid.org/0000-0001-8804-7847","contributorId":3105,"corporation":false,"usgs":true,"family":"Kuffner","given":"Ilsa","email":"ikuffner@usgs.gov","middleInitial":"B.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":878002,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Quataert, Ellen","contributorId":149000,"corporation":false,"usgs":false,"family":"Quataert","given":"Ellen","affiliations":[{"id":17614,"text":"Delft University of Technology","active":true,"usgs":false}],"preferred":false,"id":878003,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Reyns, Johan","contributorId":224304,"corporation":false,"usgs":false,"family":"Reyns","given":"Johan","email":"","affiliations":[{"id":36257,"text":"Deltares","active":true,"usgs":false}],"preferred":false,"id":878004,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McCall, Robert T.","contributorId":148986,"corporation":false,"usgs":false,"family":"McCall","given":"Robert","email":"","middleInitial":"T.","affiliations":[{"id":12474,"text":"Deltares, Netherlands","active":true,"usgs":false}],"preferred":false,"id":878005,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Stathakopoulos, Anastasios 0000-0002-4404-035X astathakopoulos@usgs.gov","orcid":"https://orcid.org/0000-0002-4404-035X","contributorId":147744,"corporation":false,"usgs":true,"family":"Stathakopoulos","given":"Anastasios","email":"astathakopoulos@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":878006,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hillis-Starr, Zandy","contributorId":179152,"corporation":false,"usgs":false,"family":"Hillis-Starr","given":"Zandy","email":"","affiliations":[],"preferred":false,"id":878007,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Holloway, Nathaniel H.","contributorId":316660,"corporation":false,"usgs":false,"family":"Holloway","given":"Nathaniel","email":"","middleInitial":"H.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":878008,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Ewen, Kristin A.","contributorId":316661,"corporation":false,"usgs":false,"family":"Ewen","given":"Kristin","email":"","middleInitial":"A.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":878009,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Pollock, Clayton G.","contributorId":287605,"corporation":false,"usgs":false,"family":"Pollock","given":"Clayton","email":"","middleInitial":"G.","affiliations":[{"id":36976,"text":"U.S. National Park Service","active":true,"usgs":false}],"preferred":false,"id":878010,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Code, Tess","contributorId":316662,"corporation":false,"usgs":false,"family":"Code","given":"Tess","email":"","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":878011,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Aronson, Richard B. 0000-0003-0383-3844","orcid":"https://orcid.org/0000-0003-0383-3844","contributorId":212695,"corporation":false,"usgs":false,"family":"Aronson","given":"Richard","email":"","middleInitial":"B.","affiliations":[{"id":17748,"text":"Florida Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":878012,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70243123,"text":"70243123 - 2023 - Modeling impacts of saltwater intrusion on methane and nitrous oxide emissions in tidal forested wetlands","interactions":[],"lastModifiedDate":"2023-07-11T15:57:57.974985","indexId":"70243123","displayToPublicDate":"2023-04-21T06:26:43","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Modeling impacts of saltwater intrusion on methane and nitrous oxide emissions in tidal forested wetlands","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><p>Emissions of methane (CH<sub>4</sub>) and nitrous oxide (N<sub>2</sub>O) from soils to the atmosphere can offset the benefits of carbon sequestration for climate change mitigation. While past study has suggested that both CH<sub>4</sub><span>&nbsp;</span>and N<sub>2</sub>O emissions from tidal freshwater forested wetlands (TFFW) are generally low, the impacts of coastal droughts and drought-induced saltwater intrusion on CH<sub>4</sub><span>&nbsp;</span>and N<sub>2</sub>O emissions remain unclear. In this study, a process-driven biogeochemistry model, Tidal Freshwater Wetland DeNitrification-DeComposition (TFW-DNDC) was applied to examine the responses of CH<sub>4</sub><span>&nbsp;</span>and N<sub>2</sub>O emissions to episodic drought-induced saltwater intrusion in TFFW along the Waccamaw River and Savannah River, USA. These sites encompass landscape gradients of both surface and porewater salinity as influenced by Atlantic Ocean tides superimposed on periodic droughts. Surprisingly, CH<sub>4</sub><span>&nbsp;</span>and N<sub>2</sub>O emission responsiveness to coastal droughts and drought-induced saltwater intrusion varied greatly between river systems and among local geomorphologic settings. This reflected the complexity of wetland CH<sub>4</sub><span>&nbsp;</span>and N<sub>2</sub>O emissions and suggests that simple linkages to salinity may not always be relevant, as non-linear relationships dominated our simulations. Along the Savannah River, N<sub>2</sub>O emissions in the moderate-oligohaline tidal forest site tended to increase dramatically under the drought condition, while CH<sub>4</sub><span>&nbsp;</span>emission decreased. For the Waccamaw River, emissions of both CH<sub>4</sub><span>&nbsp;</span>and N<sub>2</sub>O in the moderate-oligohaline tidal forest site tended to decrease under the drought condition, but the capacity of the moderate-oligohaline tidal forest to serve as a carbon sink was substantially reduced due to significant declines in net primary productivity and soil organic carbon sequestration rates as salinity killed the dominant freshwater vegetation. These changes in fluxes of CH<sub>4</sub><span>&nbsp;</span>and N<sub>2</sub>O reflect crucial synergistic effects of soil salinity and water level on C and N dynamics in TFFW due to drought-induced seawater intrusion.</p></div></div>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.2858","usgsCitation":"Wang, H., Dai, Z., Krauss, K., Trettin, C.C., Noe, G.E., Burton, A.J., and Ward, E., 2023, Modeling impacts of saltwater intrusion on methane and nitrous oxide emissions in tidal forested wetlands: Ecological Applications, v. 33, e2858, 25 p.; Data Release, https://doi.org/10.1002/eap.2858.","productDescription":"e2858, 25 p.; Data Release","ipdsId":"IP-141150","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":443792,"rank":5,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/eap.2858","text":"Publisher Index Page"},{"id":435365,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9XDTUX7","text":"USGS data release","linkHelpText":"Simulated Methane and Nitrous Oxide Emissions under Drought-induced Saltwater Intrusion in Tidal Freshwater Forested Wetlands"},{"id":416538,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":417815,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9JVZZ4N","linkFileType":{"id":5,"text":"html"}},{"id":417816,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9JVZZ4N","linkFileType":{"id":5,"text":"html"}}],"volume":"33","noUsgsAuthors":false,"publicationDate":"2023-05-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Wang, Hongqing 0000-0002-2977-7732","orcid":"https://orcid.org/0000-0002-2977-7732","contributorId":221902,"corporation":false,"usgs":true,"family":"Wang","given":"Hongqing","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":871164,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dai, Zhaohua 0000-0002-0941-8345","orcid":"https://orcid.org/0000-0002-0941-8345","contributorId":290409,"corporation":false,"usgs":false,"family":"Dai","given":"Zhaohua","email":"","affiliations":[{"id":16203,"text":"Michigan Technological university","active":true,"usgs":false}],"preferred":false,"id":871165,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Krauss, Ken 0000-0003-2195-0729","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":219804,"corporation":false,"usgs":true,"family":"Krauss","given":"Ken","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":871166,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Trettin, Carl C. 0000-0003-0279-7191","orcid":"https://orcid.org/0000-0003-0279-7191","contributorId":293476,"corporation":false,"usgs":false,"family":"Trettin","given":"Carl","email":"","middleInitial":"C.","affiliations":[{"id":36493,"text":"USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":871167,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Noe, Gregory E. 0000-0002-6661-2646 gnoe@usgs.gov","orcid":"https://orcid.org/0000-0002-6661-2646","contributorId":139100,"corporation":false,"usgs":true,"family":"Noe","given":"Gregory","email":"gnoe@usgs.gov","middleInitial":"E.","affiliations":[{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":871168,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Burton, Andrew J.","contributorId":177399,"corporation":false,"usgs":false,"family":"Burton","given":"Andrew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":871169,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ward, Eric 0000-0002-5047-5464","orcid":"https://orcid.org/0000-0002-5047-5464","contributorId":167035,"corporation":false,"usgs":true,"family":"Ward","given":"Eric","email":"","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":871170,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70248443,"text":"70248443 - 2023 - Investigating geomorphic change using a structure from motion elevation model created from historical aerial imagery: A case study in northern Lake Michigan, USA","interactions":[],"lastModifiedDate":"2023-09-13T19:27:35.015881","indexId":"70248443","displayToPublicDate":"2023-04-20T14:16:29","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1957,"text":"ISPRS International Journal of Geo-information","active":true,"publicationSubtype":{"id":10}},"title":"Investigating geomorphic change using a structure from motion elevation model created from historical aerial imagery: A case study in northern Lake Michigan, USA","docAbstract":"<p><span>South Manitou Island, part of Sleeping Bear Dunes National Lakeshore in northern Lake Michigan, is a post-glacial lacustrine landscape with substantial geomorphic changes including landslides, shoreline and bluff retreat, and sand dune movement. These changes involve interrelated processes, and are influenced to different extents by lake level, climate change, and land use patterns, among other factors. The utility of DEM of Difference (DoD) and other terrain analyses were investigated as a means of understanding interrelated geomorphologic changes and processes across multiple decades and at multiple scales. A 1m DEM was developed from 1955 historical aerial imagery using Structure from Motion Multi-View Stereo (SfM-MVS) and compared to a 2016 lidar-based DEM to quantify change. Landslides, shoreline erosion, bluff retreat, and sand dune movement were investigated throughout South Manitou Island. While the DoD indicates net loss or gain, interpretation of change must take into consideration the SfM-MVS source of the historical DEM. In the case of landslides, where additional understanding may be gleaned through review of the timing of lake high- and lowstands together with DoD values. Landscape-scale findings quantified cumulative feedbacks between interrelated processes. These findings could be upscaled to assess changes across the entire park, informing future change investigations and land management decisions.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/ijgi12040173","usgsCitation":"DeWitt, J.D., and Ashland, F., 2023, Investigating geomorphic change using a structure from motion elevation model created from historical aerial imagery: A case study in northern Lake Michigan, USA: ISPRS International Journal of Geo-information, v. 12, no. 4, 173, 26 p., https://doi.org/10.3390/ijgi12040173.","productDescription":"173, 26 p.","ipdsId":"IP-135951","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":443795,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/ijgi12040173","text":"Publisher Index 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