{"pageNumber":"188","pageRowStart":"4675","pageSize":"25","recordCount":68802,"records":[{"id":70224958,"text":"70224958 - 2021 - The local responses of aquatic ecosystems to adjacent grassland conservation: Can streams of dreams exist in a degraded riverscape?","interactions":[],"lastModifiedDate":"2021-10-08T12:08:05.763013","indexId":"70224958","displayToPublicDate":"2021-07-23T07:03:24","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":862,"text":"Aquatic Conservation: Marine and Freshwater Ecosystems","active":true,"publicationSubtype":{"id":10}},"title":"The local responses of aquatic ecosystems to adjacent grassland conservation: Can streams of dreams exist in a degraded riverscape?","docAbstract":"<ol class=\"\"><li>Landscape homogenization and the removal of riparian areas have altered stream ecosystems worldwide. Numerous conservation programmes attempt to improve water quality and increase instream habitat heterogeneity to elicit desired biological responses. However, the effectiveness of many conservation efforts on isolated stream fragments remains unknown, especially in grassland regions.</li><li>The effects of grassland conservation practices and the re-establishment of riparian corridors in the James River basin, South Dakota (USA) on stream water quality, habitat availability and aquatic macroinvertebrate and fish assemblages were studied in an agriculturally dominated prairie landscape.</li><li>Grassland conservation efforts may have repaired riparian condition, reduced turbidity and created more diverse instream habitat complexes at conservation sites based on comparisons with paired reference reaches. Reference sites were relatively homogeneous, with prevalent siltation, bank erosion and disturbances to the riparian vegetation. Owing to significant riparian vegetation development, overhanging and aquatic vegetation, benthic detritus and woody materials were significantly more common at conservation reaches.</li><li>Restoration efforts that assume ‘if you (re-)build it, they will come’ (i.e. the ‘field of dreams’ hypothesis) underestimate other important barriers to biodiversity restoration in dynamic, grassland riverscapes. Although aquatic organisms in grassland ecosystems are adapted to rapidly inhabit available habitats, the development of niche space at conservation reaches did not directly result in colonization by aquatic life.</li><li>Grassland management actions did not address stream connectivity issues or overcome land use influences elsewhere in the riverscape that may govern the responses of aquatic macroinvertebrates and fish. Stream fragmentation and continuing, damaging land use patterns seemed to exceed the positive effects of restoring isolated stream reaches in these heavily degraded catchments. Catchment-scale management strategies that combine reach-level restoration actions with efforts to improve connectivity are likely to be more successful in degraded riverscapes.</li></ol>","language":"English","publisher":"Wiley","doi":"10.1002/aqc.3656","usgsCitation":"Schumann, D.A., Graeb, K.N., Pfrimmer, J., Stafford, J.D., and Chipps, S.R., 2021, The local responses of aquatic ecosystems to adjacent grassland conservation: Can streams of dreams exist in a degraded riverscape?: Aquatic Conservation: Marine and Freshwater Ecosystems, v. 31, no. 9, p. 2481-2495, https://doi.org/10.1002/aqc.3656.","productDescription":"15 p.","startPage":"2481","endPage":"2495","ipdsId":"IP-105855","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":390329,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Dakota","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -100.63476562499997,\n              43.00464712779441\n            ],\n            [\n              -97.29492187499997,\n              43.00464712779441\n            ],\n            [\n              -97.29492187499997,\n              46.01222384063236\n            ],\n            [\n              -100.63476562499997,\n              46.01222384063236\n            ],\n            [\n              -100.63476562499997,\n              43.00464712779441\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"31","issue":"9","noUsgsAuthors":false,"publicationDate":"2021-07-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Schumann, David A.","contributorId":267261,"corporation":false,"usgs":false,"family":"Schumann","given":"David","email":"","middleInitial":"A.","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":824856,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Graeb, Katie N. B.","contributorId":267262,"corporation":false,"usgs":false,"family":"Graeb","given":"Katie","email":"","middleInitial":"N. B.","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":824857,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pfrimmer, Jarrett","contributorId":267263,"corporation":false,"usgs":false,"family":"Pfrimmer","given":"Jarrett","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":824858,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stafford, Joshua D. 0000-0001-7590-8708 jstafford@usgs.gov","orcid":"https://orcid.org/0000-0001-7590-8708","contributorId":267260,"corporation":false,"usgs":true,"family":"Stafford","given":"Joshua","email":"jstafford@usgs.gov","middleInitial":"D.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":824855,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chipps, Steven R. 0000-0001-6511-7582 steve_chipps@usgs.gov","orcid":"https://orcid.org/0000-0001-6511-7582","contributorId":2243,"corporation":false,"usgs":true,"family":"Chipps","given":"Steven","email":"steve_chipps@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":824859,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70222417,"text":"70222417 - 2021 - Evaluation of a two-season banding program to estimate and model migratory bird survival","interactions":[],"lastModifiedDate":"2021-10-06T15:36:39.723512","indexId":"70222417","displayToPublicDate":"2021-07-22T07:11:54","publicationYear":"2021","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":"Evaluation of a two-season banding program to estimate and model migratory bird survival","docAbstract":"<p><span>The management of North American waterfowl is predicated on long-term, continental scale banding implemented prior to the hunting season (i.e., July–September) and subsequent reporting of bands recovered by hunters. However, single-season banding and encounter operations have a number of characteristics that limit their application to estimating demographic rates and evaluating hypothesized limiting factors throughout the annual cycle. We designed and implemented a 2-season banding program for American black ducks (</span><i>Anas rubripes</i><span>), mallards (</span><i>A</i><span>.&nbsp;</span><i>platyrhynchos</i><span>), and hybrids in eastern North America to evaluate potential application to annual life cycle conservation and sport harvest management. We assessed model fit and compared estimates of annual survival among data types (i.e., pre-hunting season only [July–September], post-hunting season only [January–March], and 2-season [pre- and post-hunting season]) to evaluate model assumptions and potential application to population modeling and management. There was generally high agreement between estimates of annual survival derived using 2-season and pre-season only data for all age and sex cohorts. Estimates of annual survival derived from post-season banding data only were consistently higher for adult females and juveniles of both sexes. We found patterns of seasonal survival varied by species, age, and to a lesser extent, sex. Hunter recovered birds exhibited similar spatial distributions regardless of banding season suggesting banded samples were from the same population. In contrast, Goodness-Of-Fit tests suggest this assumption was statistically violated in some regions and years. We conclude that estimates of seasonal and annual survival for black ducks and mallards based on the 2-season banding program are valid and accurate based on model fit statistics, similarity in survival estimates across data and models, and similarities in the distribution of recoveries. The 2-season program provides greater precision and insight into the survival process and will improve the ability of researchers and managers to test competing hypotheses regarding population regulation resulting in more effective management.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.2425","usgsCitation":"Devers, P.K., Emmet, R., Boomer, G.S., Zimmerman, G.S., and Royle, J., 2021, Evaluation of a two-season banding program to estimate and model migratory bird survival: Ecological Applications, v. 31, no. 7, e02425, 18 p., https://doi.org/10.1002/eap.2425.","productDescription":"e02425, 18 p.","ipdsId":"IP-127019","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":387503,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"7","noUsgsAuthors":false,"publicationDate":"2021-08-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Devers, Patrick K.","contributorId":261406,"corporation":false,"usgs":false,"family":"Devers","given":"Patrick","email":"","middleInitial":"K.","affiliations":[{"id":7199,"text":"US FWS","active":true,"usgs":false}],"preferred":false,"id":819981,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Emmet, Robert L.","contributorId":261407,"corporation":false,"usgs":false,"family":"Emmet","given":"Robert L.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":819982,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boomer, G. Scott 0000-0001-5854-3604","orcid":"https://orcid.org/0000-0001-5854-3604","contributorId":261408,"corporation":false,"usgs":false,"family":"Boomer","given":"G.","email":"","middleInitial":"Scott","affiliations":[{"id":7199,"text":"US FWS","active":true,"usgs":false}],"preferred":true,"id":819983,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zimmerman, Guthrie S.","contributorId":261410,"corporation":false,"usgs":false,"family":"Zimmerman","given":"Guthrie","email":"","middleInitial":"S.","affiliations":[{"id":7199,"text":"US FWS","active":true,"usgs":false}],"preferred":false,"id":819984,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Royle, J. Andrew 0000-0003-3135-2167 aroyle@usgs.gov","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":3504,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","email":"aroyle@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":819985,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":58027,"text":"ofr20041348 - 2021 - Hazard analysis of landslides triggered by Typhoon Chata’an on July 2, 2002, in Chuuk State, Federated States of Micronesia","interactions":[],"lastModifiedDate":"2025-01-29T20:22:29.930774","indexId":"ofr20041348","displayToPublicDate":"2021-07-21T12:00:00","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2004-1348","displayTitle":"Hazard Analysis of Landslides Triggered by Typhoon Chata’an on July 2, 2002, in Chuuk State, Federated States of Micronesia","title":"Hazard analysis of landslides triggered by Typhoon Chata’an on July 2, 2002, in Chuuk State, Federated States of Micronesia","docAbstract":"<p>More than 250 landslides were triggered across the eastern volcanic islands of Chuuk State in the Federated States of Micronesia by torrential rainfall from tropical storm Chata’an on July 2, 2002. Landslides triggered during nearly 20 inches of rainfall in less than 24 hours caused 43 fatalities and the destruction or damage of 231 structures, including homes, schools, community centers, and medical dispensaries. Landslides also buried roads, crops, and water supplies. The landslides ranged in volume from a few cubic meters to more than 1 million cubic meters. Most of the failures began as slumps and transformed into debris ﬂows, some of which traveled several hundred meters across coastal ﬂatlands into populated areas. A landslide-inventory map produced after the storm shows that the island of Tonoas had the largest area affected by landslides, although the islands of Weno, Fefan, Etten, Uman, Siis, Udot, Eot, and Fanapanges also had signiﬁcant landslides. Based on observations since the storm, we estimate the continuing hazard from landslides triggered by Chata’an to be relatively low. However, tropical storms and typhoons similar to Chata’an frequently develop in Micronesia and are likely to affect the islands of Chuuk in the future. <br></p><p>To assess the landslide hazard from future tropical storms, we produced a hazard map that identiﬁes landslide-source areas of high, moderate, and low hazard. This map can be used to identify relatively safe areas for relocating structures or establishing areas where people could gather for shelter in relative safety during future typhoons or tropical storms similar to Chata’an.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20041348","productDescription":"Report: 22 p.; 2 Plates: 35.71 x 40.02 inches","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":387302,"rank":4,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2004/1348/ofr20041348_plate1_Revision.pdf","text":"Plate 1","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2004-1348 Plate 1","linkHelpText":"Landslide Inventory Map of Chuuk Islands Affected by Typhoon Chata'an"},{"id":182255,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2004/1348/coverthb.jpg"},{"id":387301,"rank":2,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/of/2004/1348/versionHist.txt","linkFileType":{"id":2,"text":"txt"},"description":"OFR 2004-1348 version history"},{"id":387300,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2004/1348/ofr20041348_pamphlet_Revision.pdf","text":"Report","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2004-1348 Pamphlet"},{"id":387303,"rank":5,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2004/1348/ofr20041348_plate2_Revision.pdf","text":"Plate 2","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2004-1348 Plate 2","linkHelpText":"Debris-Flow Hazard Map of Chuuk Islands Affected by Typhoon Chata’an"},{"id":391875,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_69259.htm"}],"country":"Federated States of Micronesia","state":"Chuuk State","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              151.675,\n              7.2789\n            ],\n            [\n              151.9022,\n              7.2789\n            ],\n            [\n              151.9022,\n              7.4689\n            ],\n            [\n              151.675,\n              7.4689\n            ],\n            [\n              151.675,\n              7.2789\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","edition":"Version 1.1: July 21, 2021","contact":"<p>Director,&nbsp;<a href=\"https://www.usgs.gov/centers/geohazards/\" data-mce-href=\"https://www.usgs.gov/centers/geohazards/\">Geologic Hazards Science Center</a><br>U.S. Geological Survey<br>Box 25046, Mail Stop 966<br>Denver, CO 80225</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Overview of the Landslide Event</li><li>Geology and Physiographic Setting</li><li>Landslides Triggered by Chata’an</li><li>Significant Landslides</li><li>Assessment of Remaining and Future Landslide Hazards</li><li>Summary and Conclusions</li><li>Acknowledgments</li><li>References Cited</li></ul>","publishedDate":"2004-10-11","revisedDate":"2021-07-21","noUsgsAuthors":false,"publicationDate":"2004-10-11","publicationStatus":"PW","scienceBaseUri":"4f4e4a6be4b07f02db63d776","contributors":{"authors":[{"text":"Harp, Edwin L. harp@usgs.gov","contributorId":1290,"corporation":false,"usgs":true,"family":"Harp","given":"Edwin","email":"harp@usgs.gov","middleInitial":"L.","affiliations":[{"id":218,"text":"Denver Federal Center","active":false,"usgs":true}],"preferred":false,"id":258170,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reid, Mark E. 0000-0002-5595-1503 mreid@usgs.gov","orcid":"https://orcid.org/0000-0002-5595-1503","contributorId":1167,"corporation":false,"usgs":true,"family":"Reid","given":"Mark","email":"mreid@usgs.gov","middleInitial":"E.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":258169,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Michael, John A. jmichael@usgs.gov","contributorId":1877,"corporation":false,"usgs":true,"family":"Michael","given":"John","email":"jmichael@usgs.gov","middleInitial":"A.","affiliations":[{"id":218,"text":"Denver Federal Center","active":false,"usgs":true}],"preferred":false,"id":258171,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70223466,"text":"70223466 - 2021 - Bomb-produced radiocarbon across the South Pacific Gyre — A new record from American Samoa with utility for fisheries science","interactions":[],"lastModifiedDate":"2022-01-25T16:47:04.317084","indexId":"70223466","displayToPublicDate":"2021-07-21T09:10:56","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3225,"text":"Radiocarbon","active":true,"publicationSubtype":{"id":10}},"title":"Bomb-produced radiocarbon across the South Pacific Gyre — A new record from American Samoa with utility for fisheries science","docAbstract":"<p><span>Coral skeletal structures can provide a robust record of nuclear bomb produced&nbsp;</span><sup><span class=\"sup\">14</span></sup><span>C with valuable insight into air-sea exchange processes and water movement with applications to fisheries science. To expand these records in the South Pacific, a coral core from Tutuila Island, American Samoa was dated with density band counting covering a 59-yr period (1953–2012). Seasonal signals in elemental ratios (Sr/Ca and Ba/Ca) and stable carbon (δ</span><sup><span class=\"sup\">13</span></sup><span>C) values across the coral core corroborated the well-defined annual band structure and highlighted an ocean climate shift from the 1997–1998 El Niño. The American Samoa coral&nbsp;</span><sup><span class=\"sup\">14</span></sup><span>C measurements were consistent with other regional records but included some notable differences across the South Pacific Gyre (SPG) at Fiji, Rarotonga, and Easter Island that can be attributed to decadal ocean climate cycles, surface residence times and proximity to the South Equatorial Current. An analysis of the post-peak&nbsp;</span><span class=\"sup\">14</span><span>C decline associated with each coral record indicated&nbsp;</span><sup><span class=\"sup\">14</span></sup><span>C levels are beginning to merge for the SPG. This observation, coupled with otolith measurements from American Samoa, reinforces the perspective that bomb&nbsp;</span><sup><span class=\"sup\">14</span></sup><span>C dating can be performed on fishes and other marine organisms of the region using the post-peak&nbsp;</span><sup><span class=\"sup\">14</span></sup><span>C decline to properly inform fisheries management in the South Pacific.</span></p>","language":"English","publisher":"Cambridge University Press","doi":"10.1017/RDC.2021.51","usgsCitation":"Andrews, A., Prouty, N.G., and Cheriton, O.M., 2021, Bomb-produced radiocarbon across the South Pacific Gyre — A new record from American Samoa with utility for fisheries science: Radiocarbon, v. 63, no. 6, p. 1591-1605, https://doi.org/10.1017/RDC.2021.51.","productDescription":"15 p.","startPage":"1591","endPage":"1605","ipdsId":"IP-124813","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":436266,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9DTWC3I","text":"USGS data release","linkHelpText":"Geochemistry time series and growth parameters from Tutuila, American Samoa coral record (ver. 2.0, June 2021)"},{"id":388583,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"South Pacific Gyre","volume":"63","issue":"6","noUsgsAuthors":false,"publicationDate":"2021-07-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Andrews, Allen","contributorId":152569,"corporation":false,"usgs":false,"family":"Andrews","given":"Allen","email":"","affiliations":[],"preferred":false,"id":822102,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Prouty, Nancy G. 0000-0002-8922-0688 nprouty@usgs.gov","orcid":"https://orcid.org/0000-0002-8922-0688","contributorId":3350,"corporation":false,"usgs":true,"family":"Prouty","given":"Nancy","email":"nprouty@usgs.gov","middleInitial":"G.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":822103,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cheriton, Olivia M. 0000-0003-3011-9136","orcid":"https://orcid.org/0000-0003-3011-9136","contributorId":204459,"corporation":false,"usgs":true,"family":"Cheriton","given":"Olivia","middleInitial":"M.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":822104,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70226572,"text":"70226572 - 2021 - Evaluation of dissolved carbon dioxide to stimulate emergence of red swamp crayfish Procambarus clarkii (Decapoda: Cambaridae) from infested ponds","interactions":[],"lastModifiedDate":"2021-11-29T12:50:25.268054","indexId":"70226572","displayToPublicDate":"2021-07-21T06:48:27","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2655,"text":"Management of Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of dissolved carbon dioxide to stimulate emergence of red swamp crayfish Procambarus clarkii (Decapoda: Cambaridae) from infested ponds","docAbstract":"<p>Invasive crayfish have adverse effects on habitats and native species. Control of invasive crayfish populations is a major challenge facing natural resource managers. This study evaluated the effectiveness and optimal conditions for the control agent carbon dioxide (CO2) which can be diffused into water to facilitate capture of red swamp crayfish (Procambarus clarkii; RSC). The efficacy of CO2 shows promise in its use for a variety of invasive aquatic species. Here, we evaluate CO2&amp;rsquo;s ability to stimulate movements towards the shoreline and/or induce complete terrestrial emergence from outdoor ponds. Twelve pond trials were conducted using three, 0.02-ha experimental ponds at Auburn University, Alabama, USA. Silt fencing was installed on dry land around the perimeter of each pond with the lower 0.3 m of fencing accordion-folded to provide shelter and a collection point for emerging crayfish. Each pond was stocked with 100 RSC before testing. Experimental treatment ponds were then injected with gaseous CO2 using porous air diffusers, whereas control ponds (C ponds) received no CO2. Multiple water quality parameters were monitored hourly. Three independent treatment scenarios with CO2 diffusion were: crayfish captured at the end of trial only (F: final), crayfish captured hourly (H: hourly), and incorporation of continuous inflow of fresh water at a flow rate of 0.2 L/s into the central catch basin to serve as a refuge with crayfish captured hourly (R: refuge). In control ponds, crayfish were captured at the end of trial only. In F ponds, CO2 diffusion for approximately five hours caused an average of 12% of total crayfish to emerge from the water. However, capture efficiency was increased to an average of 45% of total crayfish by increasing collection frequency to every hour and netting submerged crayfish near the water edge in addition to capturing terrestrially emerged crayfish. Presence of a freshwater inflow reduced capture efficiency in R ponds relative to H ponds. Odds of capturing crayfish improved with increased water temperature, increased CO2 concentration and increased crayfish mass. Based on results, we provide a set of predictive equations as well as interactive calculators to help natural resource managers explore several environmental and treatment-related scenarios that predict changes in capture probability in small research ponds. Carbon dioxide shows promises as a tool to increase capture rate of RSC. It is not likely to be 100% effective by itself, but could be a useful component of an integrated management strategy.</p>","language":"English","publisher":"Regional Euro-Asian Biological Invasions Centre (REABIC)","doi":"10.3391/mbi.2021.12.4.11","usgsCitation":"Abdelrahman, H., Gibson, R., Fogelman, K., Cupp, A.R., Allert, A., and Stoeckel, J., 2021, Evaluation of dissolved carbon dioxide to stimulate emergence of red swamp crayfish Procambarus clarkii (Decapoda: Cambaridae) from infested ponds: Management of Biological Invasions, v. 12, no. 4, p. 952-974, https://doi.org/10.3391/mbi.2021.12.4.11.","productDescription":"23 p.","startPage":"952","endPage":"974","ipdsId":"IP-124811","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":451463,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3391/mbi.2021.12.4.11","text":"Publisher Index Page"},{"id":392179,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Abdelrahman, Hisham","contributorId":269533,"corporation":false,"usgs":false,"family":"Abdelrahman","given":"Hisham","affiliations":[{"id":55979,"text":"Auburn University/Cairo University","active":true,"usgs":false}],"preferred":false,"id":827381,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gibson, Rebecca","contributorId":269534,"corporation":false,"usgs":false,"family":"Gibson","given":"Rebecca","email":"","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":827382,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fogelman, Kaelyn","contributorId":269535,"corporation":false,"usgs":false,"family":"Fogelman","given":"Kaelyn","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":827383,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cupp, Aaron R. 0000-0001-5995-2100 acupp@usgs.gov","orcid":"https://orcid.org/0000-0001-5995-2100","contributorId":5162,"corporation":false,"usgs":true,"family":"Cupp","given":"Aaron","email":"acupp@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":827384,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Allert, Ann 0000-0001-7063-8016 aallert@usgs.gov","orcid":"https://orcid.org/0000-0001-7063-8016","contributorId":178200,"corporation":false,"usgs":true,"family":"Allert","given":"Ann","email":"aallert@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":827385,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stoeckel, James","contributorId":269536,"corporation":false,"usgs":false,"family":"Stoeckel","given":"James","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":827386,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70222095,"text":"fs20203064 - 2021 - Water resources of Grant Parish, Louisiana","interactions":[],"lastModifiedDate":"2021-07-21T11:36:55.289869","indexId":"fs20203064","displayToPublicDate":"2021-07-20T14:29:55","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-3064","displayTitle":"Water Resources of Grant Parish, Louisiana","title":"Water resources of Grant Parish, Louisiana","docAbstract":"<p>Information concerning the availability, use, and quality of water in Grant Parish, Louisiana, is critical for proper water-supply management. The purpose of this fact sheet is to present information that can be used by water managers, parish residents, and others for stewardship of this vital resource. In 2014, about 5.43&nbsp;million gallons per day (Mgal/d) of water were withdrawn in Grant Parish, including about 2.39 Mgal/d from groundwater sources and 3.03 Mgal/d from surface-water sources. Withdrawals for public-supply use accounted for 71 percent (3.84 Mgal/d) of the total water withdrawn. Withdrawals for agricultural use, composed of general irrigation and livestock uses, accounted for 24&nbsp;percent (1.28 Mgal/d) of the total water withdrawn. Other categories of use included industrial and rural domestic. Water-use data collected at 5-year intervals from 1960 to 2010 and again in 2014 indicated that water withdrawals peaked in 1960.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20203064","collaboration":"Prepared in cooperation with the Louisiana Department of Transportation and Development","usgsCitation":"Murphy, C.J., and White, V.E., 2021, Water resources of Grant Parish, Louisiana: U.S. Geological Survey Fact Sheet 2020–3064, 6 p., https://doi.org/10.3133/fs20203064.","productDescription":"Report: 6 p.; Data Release","numberOfPages":"6","onlineOnly":"N","ipdsId":"IP-103348","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science 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data-mce-href=\"mailto:%20gs-w-lmg_center_director@usgs.gov\" href=\"mailto:%20gs-w-lmg_center_director@usgs.gov\">Director</a>, <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>3535 S. Sherwood Forest Blvd., Suite 120 <br>Baton Rouge, LA 70816</p>","tableOfContents":"<ul><li>Introduction</li><li>Groundwater Resources</li><li>Surface-Water Resources</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2021-07-20","noUsgsAuthors":false,"publicationDate":"2021-07-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Murphy, Chid J. 0000-0001-9675-8382","orcid":"https://orcid.org/0000-0001-9675-8382","contributorId":223073,"corporation":false,"usgs":false,"family":"Murphy","given":"Chid","email":"","middleInitial":"J.","affiliations":[{"id":40665,"text":"U.S. Bureau of Indian Affairs","active":true,"usgs":false}],"preferred":false,"id":819491,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"White, Vincent E. 0000-0002-1660-0102 vwhite@usgs.gov","orcid":"https://orcid.org/0000-0002-1660-0102","contributorId":5388,"corporation":false,"usgs":true,"family":"White","given":"Vincent","email":"vwhite@usgs.gov","middleInitial":"E.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":819492,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70223244,"text":"70223244 - 2021 - Benthic and planktonic inorganic nutrient processing rates at the interface between a river and lake","interactions":[],"lastModifiedDate":"2021-08-19T16:50:06.649243","indexId":"70223244","displayToPublicDate":"2021-07-20T11:47:37","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1007,"text":"Biogeochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Benthic and planktonic inorganic nutrient processing rates at the interface between a river and lake","docAbstract":"<p><span>The interface between lotic and lentic ecosystems is often a zone of intense metabolic activity, as primary production in streams and rivers can be light limited whereas nutrients often limit primary production in lake ecosystems. Our objective was to model the influence that rivermouths (the lotic-lentic interface) could have on the loads of soluble reactive phosphorus (SRP) and dissolved inorganic nitrogen (N) passing from the tributary to the nearshore zone of a lake. To achieve this objective, we modeled the combined role of water column nutrient transformation rates with sediment nutrient flux rates. For sensitivity analysis, we picked plausible parameter ranges based on values previously measured in the Fox rivermouth (a tributary to Lake Michigan). Sensitivity analysis of the model demonstrated that overall the importance of water column processing rates increases with increasing nutrient concentration and discharge. We then applied the model to the Fox rivermouth, simulating the change in nutrients on four dates where all of the necessary parameters had been estimated. This modeling suggests that the Fox rivermouth is often a net sink for SRP and source for ammonia (NH</span><sub>4</sub><span>), with water column processing driving SRP removal and both water column and sediment flux driving NH</span><sub>4</sub><span>&nbsp;dynamics. Removal of SRP in the water column means conversion to particulate and/or organic P, and those P pools are generally considered to be less bioavailable than SRP, so it may be that rivermouths disconnect upstream sources of nutrients from nearshore food webs. These results demonstrate that the interface zone between lotic and lentic systems has the potential to substantially alter the load and character of nutrients as river waters pass through rivermouths to adjacent nearshore areas.</span></p>","language":"English","publisher":"Springer Nature","doi":"10.1007/s10533-021-00821-8","usgsCitation":"Larson, J.H., Evans, M.A., Fitzpatrick, F., Frost, P., Xenopoulos, M., James, W.F., and Reneau, P., 2021, Benthic and planktonic inorganic nutrient processing rates at the interface between a river and lake: Biogeochemistry, v. 155, p. 189-203, https://doi.org/10.1007/s10533-021-00821-8.","productDescription":"15 p.","startPage":"189","endPage":"203","ipdsId":"IP-118338","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":436267,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9PNDSXR","text":"USGS data release","linkHelpText":"Code associated with analysis and modeling of benthic and pelagic inorganic nutrient processing rates at the interface between a river and lake"},{"id":388171,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"155","noUsgsAuthors":false,"publicationDate":"2021-07-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Larson, James H. 0000-0002-6414-9758 jhlarson@usgs.gov","orcid":"https://orcid.org/0000-0002-6414-9758","contributorId":4250,"corporation":false,"usgs":true,"family":"Larson","given":"James","email":"jhlarson@usgs.gov","middleInitial":"H.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":821513,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Evans, Mary Anne 0000-0002-1627-7210 maevans@usgs.gov","orcid":"https://orcid.org/0000-0002-1627-7210","contributorId":149358,"corporation":false,"usgs":true,"family":"Evans","given":"Mary","email":"maevans@usgs.gov","middleInitial":"Anne","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":821514,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fitzpatrick, Faith A. 0000-0002-9748-7075","orcid":"https://orcid.org/0000-0002-9748-7075","contributorId":209612,"corporation":false,"usgs":true,"family":"Fitzpatrick","given":"Faith A.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":821515,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Frost, Paul C.","contributorId":138622,"corporation":false,"usgs":false,"family":"Frost","given":"Paul C.","affiliations":[{"id":12467,"text":"Department of Biology, Trent University, Peterborough, ON  CA","active":true,"usgs":false}],"preferred":false,"id":821516,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Xenopoulos, Marguerite A.","contributorId":138623,"corporation":false,"usgs":false,"family":"Xenopoulos","given":"Marguerite A.","affiliations":[{"id":12467,"text":"Department of Biology, Trent University, Peterborough, ON  CA","active":true,"usgs":false}],"preferred":false,"id":821517,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"James, William F.","contributorId":213265,"corporation":false,"usgs":false,"family":"James","given":"William","email":"","middleInitial":"F.","affiliations":[{"id":38729,"text":"University of Wisconsin-Stout","active":true,"usgs":false}],"preferred":false,"id":821518,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Reneau, Paul C. 0000-0002-1335-7573","orcid":"https://orcid.org/0000-0002-1335-7573","contributorId":220311,"corporation":false,"usgs":true,"family":"Reneau","given":"Paul C.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":821519,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70228875,"text":"70228875 - 2021 - Do lake-specific characteristics mediate the temporal relationship between walleye growth and warming water temperatures?","interactions":[],"lastModifiedDate":"2022-02-23T15:01:39.001939","indexId":"70228875","displayToPublicDate":"2021-07-20T08:37:05","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":6455,"text":"Canadian Journal Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Do lake-specific characteristics mediate the temporal relationship between walleye growth and warming water temperatures?","docAbstract":"<p><span>Walleye (</span><i>Sander vitreus</i><span>) population declines have been linked to climate change, but it is unclear how the growth of this cool-water species may be affected by warming water temperatures. Because warming rates vary among lakes, it is uncertain whether lake characteristics may mediate the temperature effects on walleye growth or may vary as a result of differences in lake habitat or productivity. In this study, we (</span><i>i</i><span>)&nbsp;quantified walleye annual growth from 1983 to 2015 in 61 lakes in midwestern United States; (</span><i>ii</i><span>)&nbsp;estimated the relationship between annual early life growth (</span><i>ω</i><span>; mm·year</span><sup>–1</sup><span>) and water growing degree days (GDD); and (</span><i>iii</i><span>)&nbsp;identified lake characteristics affecting log</span><sub>e</sub><span>(</span><i>ω</i><span>)–GDD relationships. On average,&nbsp;</span><i>ω</i><span>&nbsp;estimates significantly increased with increasing GDD; however, this relationship varied in direction and magnitude among lakes. We estimated an 84% posterior probability of a negative effect of water clarity on the log</span><sub>e</sub><span>(</span><i>ω</i><span>)–GDD relationship, suggesting that water clarity may mediate the effect of warming water temperatures by affecting the magnitude and direction of the log</span><sub>e</sub><span>(</span><i>ω</i><span>)–GDD relationship. Our results provide insights into the conservation of cool-water species in a changing environment and identify lakes characteristics in which walleye growth may be more resilient to climate change.</span></p>","language":"English","doi":"10.1139/cjfas-2020-0169","usgsCitation":". Massie, D., Hansen, G., Li, Y., Sass, G., and Wagner, T., 2021, Do lake-specific characteristics mediate the temporal relationship between walleye growth and warming water temperatures?: Canadian Journal Fisheries and Aquatic Sciences, v. 78, no. 7, p. 913-923, https://doi.org/10.1139/cjfas-2020-0169.","productDescription":"11 p.","startPage":"913","endPage":"923","ipdsId":"IP-118834","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":396339,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota, Wisconsin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -97.20703125,\n              44.59046718130883\n            ],\n            [\n              -87.6708984375,\n              44.59046718130883\n            ],\n            [\n              -87.6708984375,\n              48.07807894349862\n            ],\n            [\n              -97.20703125,\n              48.07807894349862\n            ],\n            [\n              -97.20703125,\n              44.59046718130883\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"78","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":". Massie, Danielle L","contributorId":279942,"corporation":false,"usgs":false,"family":". Massie","given":"Danielle L","affiliations":[{"id":36985,"text":"Penn State University","active":true,"usgs":false}],"preferred":false,"id":835754,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hansen, Gretchen J. A.","contributorId":279944,"corporation":false,"usgs":false,"family":"Hansen","given":"Gretchen J. A.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":835755,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Li, Yan","contributorId":279947,"corporation":false,"usgs":false,"family":"Li","given":"Yan","affiliations":[{"id":56680,"text":"North Carolina Division of Marine Fisheries","active":true,"usgs":false}],"preferred":false,"id":835756,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sass, Greg G.","contributorId":279948,"corporation":false,"usgs":false,"family":"Sass","given":"Greg G.","affiliations":[{"id":16117,"text":"Wisconsin DNR","active":true,"usgs":false}],"preferred":false,"id":835757,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wagner, Tyler 0000-0003-1726-016X twagner@usgs.gov","orcid":"https://orcid.org/0000-0003-1726-016X","contributorId":1050,"corporation":false,"usgs":true,"family":"Wagner","given":"Tyler","email":"twagner@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":835753,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70225161,"text":"70225161 - 2021 - Direct and delayed mortality of Ceriodaphnia dubia and rainbow trout following time-varying acute exposures to zinc","interactions":[],"lastModifiedDate":"2021-10-18T10:34:42.921445","indexId":"70225161","displayToPublicDate":"2021-07-20T08:15:26","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Direct and delayed mortality of Ceriodaphnia dubia and rainbow trout following time-varying acute exposures to zinc","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>The potential for delayed mortality following short-term episodic pollution events was evaluated by exposing cladocerans (<i>Ceriodaphnia dubia</i>) and rainbow trout (<i>Oncorhynchus mykiss</i>) to zinc (Zn) in various 1- to 48-h and 1- to 96-h exposures, respectively, followed by transferring the exposed organisms to clean water for up to 47 h for<span>&nbsp;</span><i>C. dubia</i><span>&nbsp;</span>and up to 95 h for trout for additional observation. For<span>&nbsp;</span><i>C. dubia</i>, 1-h exposures of up to 3790 µg Zn/L never resulted in mortality during the actual Zn exposures, but by 48 h, a 1-h exposure to 114 µg/L, a concentration similar to the present US national water quality acute criterion for the test water conditions, ultimately killed 70% of<span>&nbsp;</span><i>C. dubia</i>. With<span>&nbsp;</span><i>C. dubia</i>, the speed of action of Zn toxicity was faster for intermediate concentrations than for the highest concentrations tested. For rainbow trout, pronounced delayed mortalities by 96 h only occurred following ≥8-h exposures. For both species, ultimate mortalities from Zn exposures ≤8 h mostly presented as delayed mortalities, whereas for exposures ≥24 h, almost all ultimate mortalities presented during the actual exposure periods. With Zn, risks of delayed mortality following exposures to all concentrations tested were much greater for the more sensitive, small-bodied invertebrate (<i>C. dubia</i>) than for the less sensitive, larger-bodied fish (rainbow trout). These results, along with previous studies, show that delayed mortality is an important consideration in evaluating risks to aquatic organisms from brief, episodic exposures to some substances.<span>&nbsp;</span><i>Environ Toxicol Chem</i><span>&nbsp;</span>2021;40:2484–2498. © 2021 The Authors.<span>&nbsp;</span><i>Environmental Toxicology and Chemistry</i><span>&nbsp;</span>published by Wiley Periodicals LLC on behalf of SETAC. This article has been contributed to by US Government employees and their work is in the public domain in the USA.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/etc.5131","usgsCitation":"Mebane, C.A., Ivey, C.D., Wang, N., Steevens, J.A., Cleveland, D.M., Elias, M.C., Justice, J.R., Brent, R.N., and Gallagher, K., 2021, Direct and delayed mortality of Ceriodaphnia dubia and rainbow trout following time-varying acute exposures to zinc: Environmental Toxicology and Chemistry, v. 40, no. 9, p. 2484-2498, https://doi.org/10.1002/etc.5131.","productDescription":"15 p.","startPage":"2484","endPage":"2498","ipdsId":"IP-119377","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":451468,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/etc.5131","text":"External Repository"},{"id":390568,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"40","issue":"9","noUsgsAuthors":false,"publicationDate":"2021-09-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Mebane, Christopher A. 0000-0002-9089-0267 cmebane@usgs.gov","orcid":"https://orcid.org/0000-0002-9089-0267","contributorId":110,"corporation":false,"usgs":true,"family":"Mebane","given":"Christopher","email":"cmebane@usgs.gov","middleInitial":"A.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":825207,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ivey, Chris D. 0000-0002-0485-7242 civey@usgs.gov","orcid":"https://orcid.org/0000-0002-0485-7242","contributorId":3308,"corporation":false,"usgs":true,"family":"Ivey","given":"Chris","email":"civey@usgs.gov","middleInitial":"D.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":825208,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wang, Ning 0000-0002-2846-3352 nwang@usgs.gov","orcid":"https://orcid.org/0000-0002-2846-3352","contributorId":2818,"corporation":false,"usgs":true,"family":"Wang","given":"Ning","email":"nwang@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":825209,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Steevens, Jeffery A. 0000-0003-3946-1229","orcid":"https://orcid.org/0000-0003-3946-1229","contributorId":207511,"corporation":false,"usgs":true,"family":"Steevens","given":"Jeffery","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":825210,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cleveland, Danielle M. 0000-0003-3880-4584 dcleveland@usgs.gov","orcid":"https://orcid.org/0000-0003-3880-4584","contributorId":187471,"corporation":false,"usgs":true,"family":"Cleveland","given":"Danielle","email":"dcleveland@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":825262,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Elias, Michael C","contributorId":267746,"corporation":false,"usgs":false,"family":"Elias","given":"Michael","email":"","middleInitial":"C","affiliations":[{"id":12772,"text":"USEPA","active":true,"usgs":false}],"preferred":false,"id":825211,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Justice, James R","contributorId":267747,"corporation":false,"usgs":false,"family":"Justice","given":"James","email":"","middleInitial":"R","affiliations":[{"id":12772,"text":"USEPA","active":true,"usgs":false}],"preferred":false,"id":825212,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Gallagher, Kathryn","contributorId":267748,"corporation":false,"usgs":false,"family":"Gallagher","given":"Kathryn","email":"","affiliations":[{"id":12772,"text":"USEPA","active":true,"usgs":false}],"preferred":false,"id":825213,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Brent, Robert N.","contributorId":267749,"corporation":false,"usgs":false,"family":"Brent","given":"Robert","email":"","middleInitial":"N.","affiliations":[{"id":16809,"text":"James Madison University","active":true,"usgs":false}],"preferred":false,"id":825214,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70222135,"text":"70222135 - 2021 - Cyprosulfamide: Analysis of the herbicide safener and two of its degradates in surface water and groundwater from the Midwestern United States","interactions":[],"lastModifiedDate":"2021-08-18T11:38:48.072637","indexId":"70222135","displayToPublicDate":"2021-07-20T06:45:37","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9105,"text":"ACS Agricultural Science and Technology","active":true,"publicationSubtype":{"id":10}},"title":"Cyprosulfamide: Analysis of the herbicide safener and two of its degradates in surface water and groundwater from the Midwestern United States","docAbstract":"<p><span>Herbicide safeners are commonly included in herbicide formulations to selectively protect crops from herbicide toxicity but are poorly understood in terms of their environmental occurrence and fate. This study established an analytical method for a newer safener, cyprosulfamide, and two of its degradates, cyprosulfamide desmethyl and&nbsp;</span><i>N</i><span>-cyclopropyl-4-sulfamoylbenzamide, in water via solid-phase extraction and liquid chromatography with tandem mass spectroscopy. To evaluate the potential for off-field transport and transformation of cyprosulfamide, the method was used to analyze groundwater and surface water samples collected near cornfields in the midwestern United States where cyprosulfamide had been applied. All three compounds were detected in surface water samples (</span><i>N</i><span>&nbsp;= 34);&nbsp;</span><i>N</i><span>-cyclopropyl-4-sulfamoylbenzamide was most frequently detected (56%), followed by cyprosulfamide (25%) and cyprosulfamide desmethyl (19%). Maximum concentrations ranged from 22.0 to 5185.9 ng/L, with the highest concentrations and detection rates during the growing season. None of our target analytes were detected in groundwater.</span></p>","language":"English","publisher":"American  Chemical Society","doi":"10.1021/acsagscitech.1c00050","usgsCitation":"McFadden, M.E., and Hladik, M.L., 2021, Cyprosulfamide: Analysis of the herbicide safener and two of its degradates in surface water and groundwater from the Midwestern United States: ACS Agricultural Science and Technology, v. 1, no. 4, p. 355-361, https://doi.org/10.1021/acsagscitech.1c00050.","productDescription":"7 p.","startPage":"355","endPage":"361","ipdsId":"IP-126164","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":387319,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United  States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -97.119140625,\n              37.020098201368114\n            ],\n            [\n              -80.15625,\n              37.020098201368114\n            ],\n            [\n              -80.15625,\n              49.15296965617042\n            ],\n            [\n              -97.119140625,\n              49.15296965617042\n            ],\n            [\n              -97.119140625,\n              37.020098201368114\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"1","issue":"4","noUsgsAuthors":false,"publicationDate":"2021-07-20","publicationStatus":"PW","contributors":{"authors":[{"text":"McFadden, Monica E 0000-0002-8589-9638","orcid":"https://orcid.org/0000-0002-8589-9638","contributorId":261268,"corporation":false,"usgs":false,"family":"McFadden","given":"Monica","email":"","middleInitial":"E","affiliations":[{"id":6768,"text":"University of Iowa","active":true,"usgs":false}],"preferred":false,"id":819624,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hladik, Michelle L. 0000-0002-0891-2712","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":205314,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":819625,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70222363,"text":"70222363 - 2021 - Conservation implications of spatiotemporal variation in the terrestrial ecology of Western spadefoots","interactions":[],"lastModifiedDate":"2021-08-17T14:59:39.589595","indexId":"70222363","displayToPublicDate":"2021-07-19T09:37:34","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Conservation implications of spatiotemporal variation in the terrestrial ecology of Western spadefoots","docAbstract":"<p><span>Conservation of species reliant on ephemeral resources can be especially challenging in the face of a changing climate. Western spadefoots (</span><i>Spea hammondii</i><span>) are small burrowing anurans that breed in ephemeral pools, but adults spend the majority of their lives underground in adjacent terrestrial habitat. Western spadefoots are of conservation concern throughout their range because of habitat loss, but little is known about the activity patterns and ecology of their terrestrial life stage. We conducted a radio-telemetry study of adult western spadefoots at 2 sites in southern California, USA, from December 2018 to November 2019 to characterize their survival, behavior, and movements from breeding through aestivation to refine conservation and management for the species. Western spadefoot survival varied seasonally, with risk of mortality higher in the active season than during aestivation. The probability of movement between successive observations was higher during the winter and spring and when atmospheric moisture was high and soil water content at 10-cm depth was low. The amount of rain between observations had the strongest effect on the probability of movement between observations; for every 20 mm of rainfall between observations, western spadefoots were 2.4 times more likely to move. When movements occurred, movement rates were highest when both relative humidity and soil water content at 10-cm depth were high. The conditions under which western spadefoots were likely active on the surface, likely to have moved, and moved at the highest rates are conditions that reduce the risk of desiccation of surface-active spadefoots. Western spadefoot home range areas varied between study sites and were mostly &lt;1 ha, although 1 individual's home range area was &gt;6 ha. Western spadefoots rapidly dispersed from the breeding pools, and asymptotic distances from the breeding pool were generally reached by June. The asymptotic distance from the breeding pool varied between sites, with the 95th percentile of the posterior predictive distribution reaching 486 m at 1 site and 187 m at the other. Western spadefoots did not select most habitat components disproportionately to their availability, but at Crystal Cove State Park, they avoided most evaluated vegetation types (graminoids, forbs, and shrubs). Spatial variation was evident in most evaluated western spadefoot behaviors; context-dependent behavior suggests that site-specific management is likely necessary for western spadefoots. Furthermore, comparison with an earlier study of western spadefoots at Crystal Cove State Park indicated substantial temporal variation in western spadefoot behavior. Therefore, basing management decisions on short-term studies might fail to meet conservation objectives. Better understanding the influences of spatial context and climatic variation on western spadefoot behavior will improve conservation efforts for this species.</span></p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.22095","usgsCitation":"Halstead, B., Baumberger, K.L., Backlin, A.R., Kleeman, P.M., Wong, M.N., Gallegos, E., Rose, J.P., and Fisher, R.N., 2021, Conservation implications of spatiotemporal variation in the terrestrial ecology of Western spadefoots: Journal of Wildlife Management, v. 85, no. 7, p. 1377-1393, https://doi.org/10.1002/jwmg.22095.","productDescription":"17 p.","startPage":"1377","endPage":"1393","ipdsId":"IP-125223","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":489101,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.22095","text":"Publisher Index Page"},{"id":436269,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P912W368","text":"USGS data release","linkHelpText":"Western Spadefoot Habitat Selection Based on Radio Telemetry in Orange County, California 2019"},{"id":387396,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","county":"Orange County","otherGeospatial":"Crystal Cove State Park, Limestone Canyon Regional Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.70314216613768,\n              33.6988507346491\n            ],\n            [\n              -117.65378952026366,\n              33.6988507346491\n            ],\n            [\n              -117.65378952026366,\n              33.732620149421436\n            ],\n            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Center","active":true,"usgs":true}],"preferred":true,"id":819757,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Backlin, Adam R. 0000-0001-5618-8426 abacklin@usgs.gov","orcid":"https://orcid.org/0000-0001-5618-8426","contributorId":3802,"corporation":false,"usgs":true,"family":"Backlin","given":"Adam","email":"abacklin@usgs.gov","middleInitial":"R.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":819758,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kleeman, Patrick M. 0000-0001-6567-3239 pkleeman@usgs.gov","orcid":"https://orcid.org/0000-0001-6567-3239","contributorId":3948,"corporation":false,"usgs":true,"family":"Kleeman","given":"Patrick","email":"pkleeman@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":819759,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wong, Monique Nicole 0000-0001-7038-321X","orcid":"https://orcid.org/0000-0001-7038-321X","contributorId":261323,"corporation":false,"usgs":true,"family":"Wong","given":"Monique","email":"","middleInitial":"Nicole","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":819760,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gallegos, Elizabeth 0000-0002-8402-2631 egallegos@usgs.gov","orcid":"https://orcid.org/0000-0002-8402-2631","contributorId":1528,"corporation":false,"usgs":true,"family":"Gallegos","given":"Elizabeth","email":"egallegos@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":819761,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rose, Jonathan P. 0000-0003-0874-9166 jprose@usgs.gov","orcid":"https://orcid.org/0000-0003-0874-9166","contributorId":199339,"corporation":false,"usgs":true,"family":"Rose","given":"Jonathan","email":"jprose@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":819762,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fisher, Robert N. 0000-0002-2956-3240 rfisher@usgs.gov","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":1529,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert","email":"rfisher@usgs.gov","middleInitial":"N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":819763,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70222509,"text":"70222509 - 2021 - Miocene neritic benthic foraminiferal community dynamics, Calvert Cliffs, Maryland, USA: Species pool, patterns and processes","interactions":[],"lastModifiedDate":"2021-08-02T14:45:47.370559","indexId":"70222509","displayToPublicDate":"2021-07-19T09:37:12","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3000,"text":"Palaios","active":true,"publicationSubtype":{"id":10}},"title":"Miocene neritic benthic foraminiferal community dynamics, Calvert Cliffs, Maryland, USA: Species pool, patterns and processes","docAbstract":"<p><span>The presence/absence and abundance of benthic foraminifera in successive discrete beds (Shattuck “zones”) of the Miocene Calvert and Choptank formations, exposed at the Calvert Cliffs, Maryland, USA, allows for investigation of community dynamics over space and time. The stratigraphic distribution of benthic foraminifera is documented and interpreted in the context of sea-level change, sequence stratigraphy, and the previously published distribution of mollusks. Neritic benthic foraminiferal communities of four sea-level cycles over ∼4 million years of the middle Miocene, encompassing the Miocene Climatic Optimum and the succeeding middle Miocene Climate Transition, are dominated by the same abundant species. They differ in the varying abundance of common species that occur throughout most of the studied section and in the different rare species that appear and disappear. Transgressive systems tracts (TSTs) have higher species diversity than highstand systems tracts (HSTs) but much lower density of specimens. In contrast to some previous research, all beds in the studied section are interpreted as being from the inner part of a broad, low gradient shelf and were deposited at water depths of less than ∼50 m. It is suggested that species are recruited from a regional species pool of propagules throughout the duration of TSTs. Recruitment is curtailed during highstands leading to lower diversity in the HSTs.</span></p>","language":"English","publisher":"SEPM Society for Sedimentary Geology","doi":"10.2110/palo.2020.069","usgsCitation":"Culver, S.J., Sutton, S., Mallinson, D.J., Buzas, M.A., Robinson, M., and Dowsett, H., 2021, Miocene neritic benthic foraminiferal community dynamics, Calvert Cliffs, Maryland, USA: Species pool, patterns and processes: Palaios, v. 36, no. 7, p. 247-259, https://doi.org/10.2110/palo.2020.069.","productDescription":"13 p.","startPage":"247","endPage":"259","ipdsId":"IP-122997","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":387628,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland","otherGeospatial":"Calvert Cliffs","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -76.5966796875,\n              38.315801006824984\n            ],\n            [\n              -76.365966796875,\n              38.315801006824984\n            ],\n            [\n              -76.365966796875,\n              38.89530825492018\n            ],\n            [\n              -76.5966796875,\n              38.89530825492018\n            ],\n            [\n              -76.5966796875,\n              38.315801006824984\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"36","issue":"7","noUsgsAuthors":false,"publicationDate":"2021-07-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Culver, Stephen J.","contributorId":198984,"corporation":false,"usgs":false,"family":"Culver","given":"Stephen","email":"","middleInitial":"J.","affiliations":[{"id":27911,"text":"East Carolina University Greenville, North Carolina,USA","active":true,"usgs":false}],"preferred":false,"id":820359,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sutton, Seth R","contributorId":261662,"corporation":false,"usgs":false,"family":"Sutton","given":"Seth R","affiliations":[{"id":36317,"text":"East Carolina University","active":true,"usgs":false}],"preferred":false,"id":820360,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mallinson, David J.","contributorId":198986,"corporation":false,"usgs":false,"family":"Mallinson","given":"David","email":"","middleInitial":"J.","affiliations":[{"id":27911,"text":"East Carolina University Greenville, North Carolina,USA","active":true,"usgs":false}],"preferred":false,"id":820361,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Buzas, Martin A","contributorId":261663,"corporation":false,"usgs":false,"family":"Buzas","given":"Martin","email":"","middleInitial":"A","affiliations":[{"id":36606,"text":"Smithsonian Institution","active":true,"usgs":false}],"preferred":false,"id":820362,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Robinson, Marci M. 0000-0002-9200-4097","orcid":"https://orcid.org/0000-0002-9200-4097","contributorId":261664,"corporation":false,"usgs":true,"family":"Robinson","given":"Marci M.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":820363,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dowsett, Harry J. 0000-0003-1983-7524","orcid":"https://orcid.org/0000-0003-1983-7524","contributorId":261665,"corporation":false,"usgs":true,"family":"Dowsett","given":"Harry J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":820364,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70223114,"text":"70223114 - 2021 - Incorporation of non-native species in the diets of cisco (Coregonus artedi) from eastern Lake Ontario","interactions":[],"lastModifiedDate":"2021-08-11T12:50:04.835719","indexId":"70223114","displayToPublicDate":"2021-07-19T07:46:40","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Incorporation of non-native species in the diets of cisco (Coregonus artedi) from eastern Lake Ontario","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab005\" class=\"abstract author\" lang=\"en\"><div id=\"as005\"><p id=\"sp0005\">Cisco<span>&nbsp;</span><i>Coregonus artedi</i><span>&nbsp;was once an important native fish in Lake Ontario; however, after multiple population crashes, the cisco stock has yet to recover to historic abundances. Rehabilitation of cisco in Lake Ontario is a fish&nbsp;community management&nbsp;objective, but the extent to which recent non-native species and pelagic food web changes have influenced cisco is not well understood. We described cisco diets in contemporary Lake Ontario following the addition and spread of non-native&nbsp;zooplankton&nbsp;species. We collected 618 cisco and processed 178 for full diet analysis in eastern Lake Ontario using mid-water trawls and bottom-set gill nets from 2016 to 2020. We found that Lake Ontario cisco were mostly zooplanktivorous, and non-native zooplankton dominated their diet during July and September. Cisco smaller than 300&nbsp;mm had a more diverse diet including both native and non-native zooplankton, while cisco larger than 300&nbsp;mm fed almost exclusively on non-native predatory cladocerans&nbsp;</span><i>Bythotrephes longimanus</i><span>&nbsp;</span>and<span>&nbsp;</span><i>Cercopagis pengoi</i><span>&nbsp;</span>(98.9% consumed prey dry mass). We also found fish eggs, presumed to be of coregonine origin in 75% of non-empty December-collected cisco diets, suggesting eggs subsidize cisco diets when available. Juvenile round goby<span>&nbsp;</span><i>Neogobius melanostomus</i>, alewife<span>&nbsp;</span><i>Alosa pseudoharengus</i><span>&nbsp;</span>and rainbow smelt<span>&nbsp;</span><i>Osmerus mordax</i><span>&nbsp;were found in 2% of all analyzed non-empty stomachs. Lake Ontario cisco diet appears to be more similar to zooplanktivorous&nbsp;Lake Superior&nbsp;cisco than Lake Michigan where&nbsp;piscivory&nbsp;is prevalent. Lake Ontario cisco diets reflected zooplankton community changes indicating that non-native predatory cladocerans are now an important energy source supporting this native species.</span></p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2021.05.007","usgsCitation":"Gatch, A., Weidel, B., Gorsky, D., O’Malley, B., Connerton, M., Holden, J., Holeck, K.T., Goertzke, J., and Karboski, C.T., 2021, Incorporation of non-native species in the diets of cisco (Coregonus artedi) from eastern Lake Ontario: Journal of Great Lakes Research, v. 47, no. 4, p. 1135-1145, https://doi.org/10.1016/j.jglr.2021.05.007.","productDescription":"11 p.","startPage":"1135","endPage":"1145","ipdsId":"IP-127290","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":387841,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Eastern Lake Ontario","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -77.2998046875,\n              43.50075243569041\n            ],\n            [\n              -75.849609375,\n              43.50075243569041\n            ],\n            [\n              -75.849609375,\n              44.378839759088585\n            ],\n            [\n              -77.2998046875,\n              44.378839759088585\n            ],\n            [\n              -77.2998046875,\n              43.50075243569041\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"47","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gatch, Alexander","contributorId":264161,"corporation":false,"usgs":false,"family":"Gatch","given":"Alexander","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":821017,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Weidel, Brian 0000-0001-6095-2773 bweidel@usgs.gov","orcid":"https://orcid.org/0000-0001-6095-2773","contributorId":2485,"corporation":false,"usgs":true,"family":"Weidel","given":"Brian","email":"bweidel@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":821018,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gorsky, Dimitry","contributorId":251650,"corporation":false,"usgs":false,"family":"Gorsky","given":"Dimitry","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":821019,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"O’Malley, Brian 0000-0001-5035-3080 bomalley@usgs.gov","orcid":"https://orcid.org/0000-0001-5035-3080","contributorId":216560,"corporation":false,"usgs":true,"family":"O’Malley","given":"Brian","email":"bomalley@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":821020,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Connerton, Michael","contributorId":251649,"corporation":false,"usgs":false,"family":"Connerton","given":"Michael","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":821021,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Holden, Jeremy","contributorId":139654,"corporation":false,"usgs":false,"family":"Holden","given":"Jeremy","affiliations":[{"id":12864,"text":"OMNRF","active":true,"usgs":false}],"preferred":false,"id":821022,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Holeck, Kristen T.","contributorId":105549,"corporation":false,"usgs":false,"family":"Holeck","given":"Kristen","email":"","middleInitial":"T.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":821023,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Goertzke, J.A.","contributorId":264162,"corporation":false,"usgs":false,"family":"Goertzke","given":"J.A.","email":"","affiliations":[{"id":39079,"text":"NYSDEC","active":true,"usgs":false}],"preferred":false,"id":821024,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Karboski, Curtis T.","contributorId":191251,"corporation":false,"usgs":false,"family":"Karboski","given":"Curtis","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":821025,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70222350,"text":"70222350 - 2021 - Model estimated baseflow for streams with endangered Atlantic Salmon in Maine, USA","interactions":[],"lastModifiedDate":"2021-11-16T15:32:29.208233","indexId":"70222350","displayToPublicDate":"2021-07-18T09:08:05","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Model estimated baseflow for streams with endangered Atlantic Salmon in Maine, USA","docAbstract":"<p><span>We present a regression model for estimating mean August baseflow per square kilometer of drainage area to help resource managers assess relative amounts of baseflow in Maine streams with Atlantic Salmon habitat. The model was derived from mean August baseflows computed at 31 USGS streamflow gages in Maine. We use an ordinary least squares regression model to estimate mean August baseflow per unit drainage area from two explanatory variables: percentage of the basin underlain by sand and gravel aquifers and mean July precipitation in the basin. This model provides the ability to estimate mean August baseflow in cubic meters per second per square kilometer of basin area on user-selected, ungaged sites throughout Maine south of 46° 21′55″ N latitude. The model has an adjusted R</span><sup>2</sup><span>&nbsp;of 0.78 and a mean 95% prediction interval of plus or minus 0.002 cubic meters per second per square kilometer. A map of the Narraguagus watershed in eastern coastal Maine shows reaches color coded by relative amounts of baseflow predicted by the model as an example of how this method could be applied throughout Maine. The map can be used to identify reaches with relatively higher amounts of baseflow during summer low flows for habitat conservation and restoration work. These areas have the potential to be high-quality habitat for Atlantic salmon and other cold-water fish because baseflows are known to moderate stream temperatures in summer low-flow periods.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/rra.3835","usgsCitation":"Lombard, P.J., Dudley, R., Collins, M.J., Saunders, R., and Atkinson, E., 2021, Model estimated baseflow for streams with endangered Atlantic Salmon in Maine, USA: River Research and Applications, v. 37, no. 9, p. 1254-1264, https://doi.org/10.1002/rra.3835.","productDescription":"11 p.","startPage":"1254","endPage":"1264","ipdsId":"IP-124443","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":451480,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/rra.3835","text":"Publisher Index Page"},{"id":436271,"rank":0,"type":{"id":30,"text":"Data 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 \"}}]}","volume":"37","issue":"9","noUsgsAuthors":false,"publicationDate":"2021-07-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Lombard, Pamela J. 0000-0002-0983-1906","orcid":"https://orcid.org/0000-0002-0983-1906","contributorId":203509,"corporation":false,"usgs":true,"family":"Lombard","given":"Pamela","email":"","middleInitial":"J.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":819723,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dudley, Robert W. 0000-0002-0934-0568","orcid":"https://orcid.org/0000-0002-0934-0568","contributorId":220211,"corporation":false,"usgs":true,"family":"Dudley","given":"Robert W.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":819724,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Collins, Matthias J. 0000-0003-4238-2038","orcid":"https://orcid.org/0000-0003-4238-2038","contributorId":196365,"corporation":false,"usgs":false,"family":"Collins","given":"Matthias","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":819725,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Saunders, Rory","contributorId":261311,"corporation":false,"usgs":false,"family":"Saunders","given":"Rory","email":"","affiliations":[{"id":52809,"text":"NOAA, National Marine Fisheries Service","active":true,"usgs":false}],"preferred":false,"id":819726,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Atkinson, Ernie","contributorId":261312,"corporation":false,"usgs":false,"family":"Atkinson","given":"Ernie","email":"","affiliations":[{"id":52810,"text":"Maine Department of Marine Resources, Division of Sea-run Fisheries","active":true,"usgs":false}],"preferred":false,"id":819727,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70222389,"text":"70222389 - 2021 - Multicriteria decisions and portfolio analysis: Land acquisition for biological and social objectives","interactions":[],"lastModifiedDate":"2021-10-06T15:35:26.925959","indexId":"70222389","displayToPublicDate":"2021-07-18T07:22:34","publicationYear":"2021","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":"Multicriteria decisions and portfolio analysis: Land acquisition for biological and social objectives","docAbstract":"<p><span>Resource allocation for land acquisition is a common multi-objective problem that involves complex trade-offs. The National Wildlife Refuge System (NWRS) of the U.S. Fish and Wildlife Service currently uses the Targeted Resource Acquisition Comparison Tool (TRACT) to allocate funds from the Migratory Bird Conservation Fund (MBCF; established through the Migratory Bird Hunting and Conservation Act of 1934) for land acquisition based on cost-benefit analysis, regional priority rankings of candidate land parcels available for acquisition, and the overall biological contribution to duck population objectives. However, current policy encourages decision makers to consider societal and economic benefits of lands acquired, in addition to their biological benefits to waterfowl. These decisions about portfolio elements (i.e. individual land parcels) require an analysis of the difficult trade-offs among multiple objectives. In the last decade the application of multi-criteria decision analysis (MCDA) methods has been instrumental in aiding decision makers with complex multi-objective decisions. In this study, we present an alternative approach to developing land acquisition portfolios using MCDA and Modern Portfolio Theory (MPT). We describe the development of a portfolio decision analysis tool using constrained optimization for land acquisition decisions by the NWRS. We outline the decision framework, describe development of the prototype tool in Microsoft Excel, and test the results of the tool using land parcels submitted as candidates for MBCF funding in 2019. Our results indicate that the constrained optimization outperformed the traditional TRACT method and ad hoc portfolios developed using current NWRS criteria.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.2420","usgsCitation":"Krainyk, A., Lyons, J., Rice, M.B., Fowler, K., Soulliere, G.J., Brasher, M.G., Humburg, D.D., and Coluccy, J.M., 2021, Multicriteria decisions and portfolio analysis: Land acquisition for biological and social objectives: Ecological Applications, v. 31, no. 2, e02420, 46 p., https://doi.org/10.1002/eap.2420.","productDescription":"e02420, 46 p.","ipdsId":"IP-108367","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":387464,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"2","noUsgsAuthors":false,"publicationDate":"2021-08-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Krainyk, Anastasia Ihorvina 0000-0002-3100-9011","orcid":"https://orcid.org/0000-0002-3100-9011","contributorId":261353,"corporation":false,"usgs":true,"family":"Krainyk","given":"Anastasia Ihorvina","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":819915,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lyons, James E. 0000-0002-9810-8751","orcid":"https://orcid.org/0000-0002-9810-8751","contributorId":261354,"corporation":false,"usgs":true,"family":"Lyons","given":"James E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":819916,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rice, Mindy B.","contributorId":214399,"corporation":false,"usgs":false,"family":"Rice","given":"Mindy","email":"","middleInitial":"B.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":819917,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fowler, Kenneth A.","contributorId":261355,"corporation":false,"usgs":false,"family":"Fowler","given":"Kenneth A.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":819918,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Soulliere, Gregory J.","contributorId":172329,"corporation":false,"usgs":false,"family":"Soulliere","given":"Gregory","email":"","middleInitial":"J.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":819919,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brasher, Michael G.","contributorId":214393,"corporation":false,"usgs":false,"family":"Brasher","given":"Michael","email":"","middleInitial":"G.","affiliations":[{"id":36215,"text":"Ducks Unlimited","active":true,"usgs":false}],"preferred":false,"id":819920,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Humburg, Dale D.","contributorId":79357,"corporation":false,"usgs":false,"family":"Humburg","given":"Dale","email":"","middleInitial":"D.","affiliations":[{"id":13073,"text":"Ducks Unlimited, Inc.","active":true,"usgs":false}],"preferred":false,"id":819921,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Coluccy, John M.","contributorId":214395,"corporation":false,"usgs":false,"family":"Coluccy","given":"John","email":"","middleInitial":"M.","affiliations":[{"id":36215,"text":"Ducks Unlimited","active":true,"usgs":false}],"preferred":false,"id":819922,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70222346,"text":"70222346 - 2021 - The Chesapeake Bay program modeling system: Overview and recommendations for future development","interactions":[],"lastModifiedDate":"2021-07-22T14:30:50.592821","indexId":"70222346","displayToPublicDate":"2021-07-17T09:14:36","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"The Chesapeake Bay program modeling system: Overview and recommendations for future development","docAbstract":"<p><span>The Chesapeake Bay is the largest, most productive, and most biologically diverse estuary in the continental United States providing crucial habitat and natural resources for culturally and economically important species. Pressures from human population growth and associated development and agricultural intensification have led to excessive nutrient and sediment inputs entering the Bay, negatively affecting the health of the Bay ecosystem and the economic services it provides. The Chesapeake Bay Program (CBP) is a unique program formally created in 1983 as a multi-stakeholder partnership to guide and foster restoration of the Chesapeake Bay and its watershed. Since its inception, the CBP Partnership has been developing, updating, and applying a complex linked modeling system of watershed, airshed, and estuary models as a planning tool to inform strategic management decisions and Bay restoration efforts. This paper provides a description of the 2017 CBP Modeling System and the higher trophic level models developed by the NOAA Chesapeake Bay Office, along with specific recommendations that emerged from a 2018 workshop designed to inform future model development. Recommendations highlight the need for simulation of watershed inputs, conditions, processes, and practices at higher resolution to provide improved information to guide local nutrient and sediment management plans. More explicit and extensive modeling of connectivity between watershed landforms and estuary sub-areas, estuarine hydrodynamics, watershed and estuarine water quality, the estuarine-watershed socioecological system, and living resources will be important to broaden and improve characterization of responses to targeted nutrient and sediment load reductions. Finally, the value and importance of maintaining effective collaborations among jurisdictional managers, scientists, modelers, support staff, and stakeholder communities is emphasized. An open collaborative and transparent process has been a key element of successes to date and is vitally important as the CBP Partnership moves forward with modeling system improvements that help stakeholders evolve new knowledge, improve management strategies, and better communicate outcomes.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2021.109635","usgsCitation":"Hood, R., Shenk, G.W., Dixon, R.L., Smith, S.M., Ball, W.P., Bash, J., Batiuk, R., Boomer, K., Brady, D.C., Cerco, C., Claggett, P., de Mutsert, K., Easton, Z.M., Elmore, A., Friedrichs, M.A., Harris, L.A., Ihde, T.F., Lacher, I., Li, L., Linker, L.C., Miller, A., Moriarty, J., Noe, G.E., Onyullo, G., Rose, K.A., Skalak, K., Tian, R., Veith, T.L., Wainger, L.A., Weller, D.E., and Zhang, Y.J., 2021, The Chesapeake Bay program modeling system: Overview and recommendations for future development: Ecological Modelling, v. 456, 109635, 28 p., 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We describe mathematical characteristics of CAST and develop a constrained nonlinear BMP-subset model, software, and visualization framework. This represents the first publicly available optimization framework for exploring least-cost strategies of&nbsp;pollutant load&nbsp;control for the United States' largest&nbsp;</span>estuary<span>. The optimization identifies implementation options for a BMP subset modeled with load reduction effectiveness factors, and the web interface facilitates interactive exploration of &gt;30,000 solutions organized by objective, nutrient control level, and for ~200 counties. We assess framework performance and demonstrate modeled cost improvements when comparing optimization-suggested proposals with proposals inspired by jurisdiction plans. Stakeholder feedback highlights the framework's current utility for investigating cost-effective&nbsp;tradeoffs&nbsp;and its usefulness as a foundation for future analysis of restoration strategies.</span></p></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.envsoft.2021.105141","usgsCitation":"Kaufman, D.E., Shenk, G.W., Bhatt, G., Asplen, K., Devereux, O., Rigelman, J., Ellis, J.H., Hobbs, B.F., Bosch, D.J., Van Houtven, G.L., McGarity, A.E., Linker, L.C., and Ball, W.P., 2021, Supporting cost-effective watershed management strategies for Chesapeake Bay using a modeling and optimization framework: Environmental Modelling & Software, v. 144, 105141, 18 p., https://doi.org/10.1016/j.envsoft.2021.105141.","productDescription":"105141, 18 p.","ipdsId":"IP-128779","costCenters":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"links":[{"id":451489,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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Hugh","contributorId":267329,"corporation":false,"usgs":false,"family":"Ellis","given":"J.","email":"","middleInitial":"Hugh","affiliations":[],"preferred":false,"id":824980,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hobbs, Benjamin F 0000-0003-1783-3597","orcid":"https://orcid.org/0000-0003-1783-3597","contributorId":267323,"corporation":false,"usgs":false,"family":"Hobbs","given":"Benjamin","email":"","middleInitial":"F","affiliations":[{"id":36717,"text":"Johns Hopkins University","active":true,"usgs":false}],"preferred":false,"id":824981,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bosch, Darrell J 0000-0002-7758-4935","orcid":"https://orcid.org/0000-0002-7758-4935","contributorId":267324,"corporation":false,"usgs":false,"family":"Bosch","given":"Darrell","email":"","middleInitial":"J","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":824995,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Van Houtven, George L 0000-0001-6141-7318","orcid":"https://orcid.org/0000-0001-6141-7318","contributorId":267325,"corporation":false,"usgs":false,"family":"Van Houtven","given":"George","email":"","middleInitial":"L","affiliations":[{"id":7151,"text":"RTI International","active":true,"usgs":false}],"preferred":false,"id":824982,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"McGarity, Arthur E 0000-0003-3579-5088","orcid":"https://orcid.org/0000-0003-3579-5088","contributorId":267326,"corporation":false,"usgs":false,"family":"McGarity","given":"Arthur","email":"","middleInitial":"E","affiliations":[{"id":55474,"text":"Swarthmore College","active":true,"usgs":false}],"preferred":false,"id":824983,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Linker, Lewis C. 0000-0002-3456-3659","orcid":"https://orcid.org/0000-0002-3456-3659","contributorId":252964,"corporation":false,"usgs":false,"family":"Linker","given":"Lewis","email":"","middleInitial":"C.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":824984,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Ball, William P.","contributorId":174394,"corporation":false,"usgs":false,"family":"Ball","given":"William","email":"","middleInitial":"P.","affiliations":[{"id":27446,"text":"Johns Hopkins University, Department of Geography and Environmental Engineering","active":true,"usgs":false}],"preferred":false,"id":824985,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70221832,"text":"sir20205080 - 2021 - Simulation of water-table response to sea-level rise and change in recharge, Sandy Hook unit, Gateway National Recreation Area, New Jersey","interactions":[],"lastModifiedDate":"2021-07-19T11:54:16.429643","indexId":"sir20205080","displayToPublicDate":"2021-07-16T15:00:00","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-5080","displayTitle":"Simulation of Water-Table Response to Sea-Level Rise and Change in Recharge, Sandy Hook Unit, Gateway National Recreation Area, New Jersey","title":"Simulation of water-table response to sea-level rise and change in recharge, Sandy Hook unit, Gateway National Recreation Area, New Jersey","docAbstract":"<p>The Sandy Hook Unit, Gateway National Recreation Area (hereafter Sandy Hook) in New Jersey is a 10-kilometer-long spit visited by thousands of people each year who take advantage of the historical and natural resources and recreational opportunities. The historical and natural resources are threatened by global climate change, including sea-level rise (SLR), changes in precipitation and groundwater recharge, and changes in the frequency and severity of coastal storms. Fresh groundwater resources are important to the ecosystems of Sandy Hook. The Bayside Holly Forest, one of only two known old-growth American holly (<i>Ilex opaca</i>) maritime forests, is particularly vulnerable to global climate change because of the proximity of the water table to land surface in low-lying areas and the potential for saltwater intrusion and inundation.</p><p>The shallow groundwater-flow system on Sandy Hook is dominated by recharge from precipitation, fresh groundwater discharge to evapotranspiration (ET), discharge to surface seeps, and submarine groundwater discharge (groundwater discharging directly to the ocean). A three-dimensional groundwater-flow model that simulates the shallow groundwater-flow system and interaction with surrounding saltwater boundaries was constructed to simulate multi-density groundwater flow, treating the freshwater/saltwater transition zone as a sharp interface that represents the half-seawater surface.</p><p>Groundwater-flow simulations completed for this study include a Baseline scenario, three SLR scenarios (0.2, 0.4, and 0.6 meter [m]), two Recharge scenarios—a 10-percent Increased Recharge scenario and a 10-percent Decreased Recharge scenario—and a scenario with 0.6 m of SLR and 10-percent increase in recharge. The Recharge scenarios indicate the system is not sensitive to a 10-percent increase or decrease in recharge from the Baseline scenario. In the SLR scenarios, SLR causes the water table to rise, resulting in increased fresh groundwater discharge to ET and seeps, and reduced submarine discharge compared to the Baseline scenario. The increased discharge to ET and seeps causes the magnitude of water-table rise to be less than that of SLR, which in turn causes the thickness of the freshwater lens to thin, reducing the depth to the half-seawater surface. Water-table rise associated with SLR diminishes the thickness of the unsaturated zone; comparing the Baseline and the 0.6-m SLR scenarios, the area where the simulated water table is above land surface increases by 50.6 hectares, from about 0.9 to 7.4 percent of the land area of Sandy Hook. Areas where the simulated water table is above land surface are likely to be emergent wetlands and contain freshwater if they are tens of meters or more from the shoreline. The steady-state simulations indicate that the percentage of land where the half-seawater surface is less than 9 m below the water table increases from about 2.5 percent (20 hectares) to about 9 percent (74 hectares) with 0.6 m of SLR. In low-lying areas close to the Sandy Hook Bay shoreline, the half-seawater surface is simulated to be as much as 20 m closer to the water table with SLR of 0.6 m. Transient salinization, if any, of shallow groundwater from increased frequency or severity of storm-driven inundation is not included in the analysis.</p><p>Natural resources on Sandy Hook, particularly the Bayside Holly Forest, may be adversely affected by the rising water table associated with SLR. Freshwater emergent wetlands may increase in area at the expense of other ecosystem assemblages occurring in or on the edges of low-lying enclosed depressions. Cultural resources close to the water table, such as existing basements of structures, may be adversely affected.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205080","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Carleton, G.B., Charles, E.G., Fiore, A.R., and Winston, R.B., 2021, Simulation of water-table response to sea-level rise and change in recharge, Sandy Hook unit, Gateway National Recreation Area, New Jersey: U.S. Geological Survey Scientific Investigations Report 2020–5080, 91 p., https://doi.org/10.3133/sir20205080.","productDescription":"Report: ix, 91 p.; Data Release","numberOfPages":"91","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-081081","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":387036,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sir20205117","text":"Scientific Investigations Report 2020–5117","linkHelpText":"- Simulation of Water-Table and Freshwater/Saltwater Interface Response to Climate-Change-Driven Sea-Level Rise and Changes in Recharge at Fire Island National Seashore, New York"},{"id":387037,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sir20205104","text":"Scientific Investigations Report 2020–5104","linkHelpText":"- Simulated Effects of Sea-Level Rise on the Shallow, Fresh Groundwater System of Assateague Island, Maryland and Virginia"},{"id":387032,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7BP018M","text":"USGS data release","linkHelpText":"MODFLOW-2005 with SWI2 used to evaluate the water-table response to sea-level rise and change in recharge, Sandy Hook Unit, Gateway National Recreation Area, New Jersey"},{"id":387033,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2020/5080/coverthb.jpg"},{"id":387034,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2020/5080/sir20205080.pdf","text":"Report","size":"19.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2020-5080"}],"country":"United States","state":"New Jersey","otherGeospatial":"Gateway National Recreation Area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -74.04716491699219,\n              40.39467254512293\n            ],\n            [\n              -73.95927429199219,\n              40.39467254512293\n            ],\n            [\n              -73.95927429199219,\n              40.49239284038429\n            ],\n            [\n              -74.04716491699219,\n              40.49239284038429\n            ],\n            [\n              -74.04716491699219,\n              40.39467254512293\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_nj@usgs.gov\" data-mce-href=\"mailto:dc_nj@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/nj-water\" data-mce-href=\"https://www.usgs.gov/centers/nj-water\">New Jersey Water Science Center</a><br>U.S. Geological Survey<br>3450 Princeton Pike<br>Lawrenceville, NJ 08648</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Hydrogeologic Framework</li><li>Simulated Effects of Sea-Level Rise and Changes in Recharge on Groundwater Flow on Sandy Hook</li><li>Summary and Conclusions</li><li>References Cited</li><li>Appendix 1. Wells, Coreholes, and Geophysical Logs</li><li>Appendix 2. Specific Conductance and Water-Level Data</li><li>Appendix 3. Groundwater-Flow Model Design and Calibration</li><li>Appendix 4. SWI Observation Extractor</li></ul>","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2021-07-16","noUsgsAuthors":false,"publicationDate":"2021-07-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Carleton, Glen B. 0000-0002-7666-4407 carleton@usgs.gov","orcid":"https://orcid.org/0000-0002-7666-4407","contributorId":3795,"corporation":false,"usgs":true,"family":"Carleton","given":"Glen","email":"carleton@usgs.gov","middleInitial":"B.","affiliations":[],"preferred":true,"id":818870,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Charles, Emmanuel G. 0000-0002-3338-4958 echarles@usgs.gov","orcid":"https://orcid.org/0000-0002-3338-4958","contributorId":4280,"corporation":false,"usgs":true,"family":"Charles","given":"Emmanuel","email":"echarles@usgs.gov","middleInitial":"G.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":818871,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fiore, Alex R. 0000-0002-0986-5225 afiore@usgs.gov","orcid":"https://orcid.org/0000-0002-0986-5225","contributorId":4977,"corporation":false,"usgs":true,"family":"Fiore","given":"Alex","email":"afiore@usgs.gov","middleInitial":"R.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":818872,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Winston, Richard B. 0000-0002-6287-8834 rbwinst@usgs.gov","orcid":"https://orcid.org/0000-0002-6287-8834","contributorId":3567,"corporation":false,"usgs":true,"family":"Winston","given":"Richard","email":"rbwinst@usgs.gov","middleInitial":"B.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":818873,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70221830,"text":"sir20205117 - 2021 - Simulation of water-table and freshwater/saltwater interface response to climate-change-driven sea-level rise and changes in recharge at Fire Island National Seashore, New York","interactions":[],"lastModifiedDate":"2021-07-20T11:37:26.378841","indexId":"sir20205117","displayToPublicDate":"2021-07-16T15:00:00","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-5117","displayTitle":"Simulation of Water-Table and Freshwater/Saltwater Interface Response to Climate-Change-Driven Sea-Level Rise and Changes in Recharge at Fire Island National Seashore, New York","title":"Simulation of water-table and freshwater/saltwater interface response to climate-change-driven sea-level rise and changes in recharge at Fire Island National Seashore, New York","docAbstract":"<p>The fresh groundwater system at Fire Island National Seashore in New York is one of the natural resources that is most vulnerable to climate change; the various federally listed threatened or endangered species that live on Fire Island, including the piping plover, roseate tern shorebird, and seabeach amaranth may be affected by changes in the groundwater system. The U.S. Geological Survey, in cooperation with the National Park Service, developed a three-dimensional groundwater-flow model to simulate climate-change-related changes in depth to the water table and depth to freshwater/saltwater interfaces on Fire Island. An existing SEAWAT three-dimensional variable-density groundwater flow and transport model was converted to a MODFLOW–NWT three-dimensional finite-difference groundwater model with the Seawater Intrusion (SWI2) package and recalibrated using the UCODE_2005 automatic calibration software. The simulated groundwater divide was found to be skewed strongly toward the ocean shore in response to the modeled wave setup and tidal pumping overheight.</p><p>Effects of climate change include sea-level rise and changes in groundwater recharge rates. Sea-level rise scenarios included specified uniform steady states at 0.2-, 0.4-, and 0.6-meter increases above the 2015 level, applied to the existing topography. A high-recharge scenario was created by increasing 2015 recharge rates by 10 percent. Under all scenarios except the low-recharge scenario, the depth to the water table and the thickness of the unsaturated zone decreased. The thickness of the freshwater lens decreased under every scenario. Resulting maps were generated on a 25-meter grid and indicate changes in areas where natural resources may be vulnerable because of projected climate changes.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205117","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Misut, P.E., and Dressler, S., 2021, Simulation of water-table and freshwater/saltwater interface response to climate-change-driven sea-level rise and changes in recharge at Fire Island National Seashore, New York: U.S. Geological Survey Scientific Investigations Report 2020–5117, 47 p., https://doi.org/10.3133/sir20205117.","productDescription":"Report: vii, 47 p.; Data Release","numberOfPages":"47","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-082635","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":387031,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P95TBIMW","text":"USGS data release","linkHelpText":"MODFLOW-NWT model used to simulate water-table and freshwater/saltwater interface response to climate-change-driven sea-level rise and changes in recharge at the Fire Island National Seashore, New York"},{"id":387039,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sir20205104","text":"Scientific Investigations Report 2020–5104","linkHelpText":"- Simulated Effects of Sea-Level Rise on the Shallow, Fresh Groundwater System of Assateague Island, Maryland and Virginia"},{"id":387038,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sir20205080","text":"Scientific Investigations Report 2020–5080","linkHelpText":"- Simulation of Water-Table Response to Sea-Level Rise and Change in Recharge, Sandy Hook Unit, Gateway National Recreation Area, New Jersey"},{"id":387030,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2020/5117/sir20205117.pdf","text":"Report","size":"21.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2020-5117"},{"id":387029,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2020/5117/coverthb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Fire Island National Seashore","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -73.31314086914062,\n              40.614994915836924\n            ],\n            [\n              -73.2513427734375,\n              40.612909950230936\n            ],\n            [\n              -73.06869506835938,\n              40.65563874006118\n            ],\n            [\n              -72.84072875976562,\n              40.730608477796636\n            ],\n            [\n              -72.75146484374999,\n              40.763901280945866\n            ],\n            [\n              -72.76931762695312,\n              40.77534183237267\n            ],\n            [\n              -72.83798217773438,\n              40.74725696280421\n            ],\n            [\n              -72.96157836914061,\n              40.72228267283148\n            ],\n            [\n              -73.08792114257812,\n              40.66918118282895\n            ],\n            [\n              -73.2403564453125,\n              40.637925243274374\n            ],\n            [\n              -73.30215454101562,\n              40.63375667842965\n            ],\n            [\n              -73.32687377929688,\n              40.62020704520565\n            ],\n            [\n              -73.31314086914062,\n              40.614994915836924\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_ny@usgs.gov\" data-mce-href=\"mailto:dc_ny@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/ny-water\" data-mce-href=\"https://www.usgs.gov/centers/ny-water\">New York Water Science Center</a><br>U.S. Geological Survey<br>425 Jordan Road<br>Troy, NY 12180–8349</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Hydrogeologic Framework</li><li>Results of Shallow Groundwater Flow System Simulations of Fire Island</li><li>Summary</li><li>References Cited</li><li>Appendix 1. Groundwater-Flow Model Design and Calibration</li></ul>","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2021-07-16","noUsgsAuthors":false,"publicationDate":"2021-07-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Misut, Paul E. 0000-0002-6502-5255 pemisut@usgs.gov","orcid":"https://orcid.org/0000-0002-6502-5255","contributorId":1073,"corporation":false,"usgs":true,"family":"Misut","given":"Paul","email":"pemisut@usgs.gov","middleInitial":"E.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":818860,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dressler, Sarken","contributorId":244619,"corporation":false,"usgs":false,"family":"Dressler","given":"Sarken","email":"","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":true,"id":818861,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70222933,"text":"70222933 - 2021 - Regeneration trends along climate gradients in Taxodium distichum forests of the southeastern United States","interactions":[],"lastModifiedDate":"2023-06-09T14:09:27.431715","indexId":"70222933","displayToPublicDate":"2021-07-16T09:23:48","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Regeneration trends along climate gradients in <i>Taxodium distichum</i> forests of the southeastern United States","title":"Regeneration trends along climate gradients in Taxodium distichum forests of the southeastern United States","docAbstract":"<p><span>The development of relict vegetation at the edges of some ecosystems has taken place particularly in environments where the regeneration of foundational species is declining. As an important stage of regeneration in the&nbsp;</span><i>Taxodium distichum</i><span>, this study explored the relationship of cone volume and seed number across environmental gradients in the Mississippi River Alluvial Valley (MRAV) and northern Gulf of Mexico Coast (GOM) in a long-term network of forested wetlands (North American Baldcypress Swamp Network (NABCSN)) from 2007 to 2019. Resembling spheroids, the volumes of&nbsp;</span><i>Taxodium distichum</i><span>&nbsp;cones were based on the measured dimensions of the cones collected in swamps across southeastern environmental gradients. Cones with larger volumes also had larger numbers of seeds (r</span><sup>2</sup><span>&nbsp;=&nbsp;0.423, F&nbsp;=&nbsp;113.9, p&nbsp;&lt;&nbsp;0.0001; Linear regression equation: Seed number per cone&nbsp;=&nbsp;9.8925223&nbsp;+&nbsp;0.8854056* Cone volume cm</span><sup>3</sup><span>). Mean cone volumes were related to water availability with highest volumes in locations with moderate amounts of total annual precipitation (e.g., White River National Wildlife Refuge (NWR) Arkansas, Tensas NWR Louisiana, and Morgan Brake NWR Mississippi), and longer periods of annual percent time of site drawdown. Cone volume was high in 2018 following the 2017 mega-flood in the Mississippi River Alluvial Valley (MRAV) generated by Hurricane Harvey. Mean annual air temperature was not related to cone volume. Along the Gulf Coast, mean cone volume increased from east to west from Florida to Texas. Especially near the edge of the range of&nbsp;</span><i>T. distichum</i><span>&nbsp;forests, smaller cones may be related to regeneration failure and lower seed numbers to support regeneration. A better understanding of regeneration constraints can inform managers of the emergence of relict status in these forests.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.foreco.2021.119485","usgsCitation":"Middleton, B., Lei, T., Villegas, O., and Liu, X., 2021, Regeneration trends along climate gradients in Taxodium distichum forests of the southeastern United States: Forest Ecology and Management, v. 497, 119485, 10 p.; Data Release, https://doi.org/10.1016/j.foreco.2021.119485.","productDescription":"119485, 10 p.; Data Release","ipdsId":"IP-125636","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":387812,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":417855,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9H7WGM5"}],"country":"United States","state":"Arkansas, Florida, Illinois, Kentucky, Louisiana, Mississippi, Missouri, Tennessee","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -88.76953125,\n              37.43997405227057\n            ],\n            [\n              -89.9560546875,\n              37.26530995561875\n            ],\n            [\n              -91.4501953125,\n              33.8339199536547\n            ],\n            [\n              -91.62597656249999,\n              31.765537409484374\n            ],\n            [\n              -91.8896484375,\n              30.44867367928756\n            ],\n            [\n              -90.087890625,\n              29.19053283229458\n            ],\n            [\n              -89.384765625,\n              30.06909396443887\n            ],\n            [\n              -90.4833984375,\n              30.44867367928756\n            ],\n            [\n              -89.3408203125,\n              32.84267363195431\n            ],\n            [\n              -88.76953125,\n              37.43997405227057\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -84.814453125,\n              29.6880527498568\n            ],\n            [\n              -83.6279296875,\n              29.878755346037977\n            ],\n            [\n              -83.671875,\n              30.675715404167743\n            ],\n            [\n              -85.1220703125,\n              30.600093873550072\n            ],\n            [\n              -84.814453125,\n              29.6880527498568\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"497","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Middleton, Beth 0000-0002-1220-2326","orcid":"https://orcid.org/0000-0002-1220-2326","contributorId":206922,"corporation":false,"usgs":true,"family":"Middleton","given":"Beth","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":820867,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lei, Ting","contributorId":245022,"corporation":false,"usgs":false,"family":"Lei","given":"Ting","affiliations":[{"id":40912,"text":"Beijing Forestry","active":true,"usgs":false}],"preferred":false,"id":820868,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Villegas, Omag 0000-0003-0169-895X","orcid":"https://orcid.org/0000-0003-0169-895X","contributorId":263439,"corporation":false,"usgs":false,"family":"Villegas","given":"Omag","email":"","affiliations":[{"id":53989,"text":"Universidad Juarez del Estado de Durango, Mexico","active":true,"usgs":false}],"preferred":false,"id":820869,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Liu, Xiaohui","contributorId":263440,"corporation":false,"usgs":false,"family":"Liu","given":"Xiaohui","email":"","affiliations":[{"id":53990,"text":"NE Institute  of Geography and Agroecology, Chinese Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":820870,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70222057,"text":"tm13B2 - 2021 - A numerical model for the cooling of a lava sill with heat pipe effects","interactions":[],"lastModifiedDate":"2021-07-19T11:39:28.138117","indexId":"tm13B2","displayToPublicDate":"2021-07-16T09:00:07","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"13-B2","displayTitle":"A Numerical Model for the Cooling of a Lava Sill with Heat Pipe Effects","title":"A numerical model for the cooling of a lava sill with heat pipe effects","docAbstract":"<p>Understanding the cooling process of volcanic intrusions into wet sediments is a difficult but important problem, given the presence of extremely large temperature gradients and potentially complex water-magma interactions. This report presents a numerical model to study such interactions, including the effect of heat pipes on the cooling of volcanic intrusions. Udell (1985) has shown that heat pipes may develop in heated saturated granular media under laboratory conditions. In previous work, Baker and others (2015) calculated temperatures in the vicinity of a volcanic sill that intruded into wet sediment, showing an unexpected temperature profile in which peak temperatures remained near constant over a region extending a meter above and below the sill. This is challenging to explain with conduction or convection heating methods but is predicted if the heat transfer is performed primarily by a heat pipe. We have numerically modeled the cooling of a lava sill under similar circumstances, using the experimental findings of Udell (1985) to estimate the characteristics of the heat pipe. We have constructed a model using Microsoft C#.NET, complete with an intuitive graphical user interface. The model is available from the U.S. Geological Survey and is capable of being run on Microsoft Windows 7 and higher with modest hardware. We find that the resulting overall temperature profile has some key similarities to the profile inferred by Baker and others (2015). Future models including more detailed convective heat transfer physics will be necessary to fully reproduce the effects of boiling in sediments.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm13B2","usgsCitation":"Williams, K.E., Dundas, C.M., and Kestay, L.P., 2021, A numerical model for the cooling of a lava sill with heat pipe effects: U.S. Geological Survey Techniques and Methods, book 13, chap. B2, 14 p., https://doi.org/10.3133/tm13B2.","productDescription":"v, 14 p.","numberOfPages":"14","onlineOnly":"Y","ipdsId":"IP-120432","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":387233,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/tm/13/b2/tm13B2_LavaCooling-Heatpipe_executable.zip","text":"Program — LavaCooling-Heatpipe.exe","size":"30 KB","linkFileType":{"id":6,"text":"zip"}},{"id":387194,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/13/b2/tm13B2.pdf","text":"Report","size":"5 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":387193,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/tm/13/b2/covrthb.jpg"}],"contact":"<p><a href=\"https://www.usgs.gov/centers/astrogeology-science-center/connect\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/astrogeology-science-center/connect\">Contact Astrogeology Research Program staff</a><br><a href=\"https://www.usgs.gov/centers/astrogeology-science-center\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/astrogeology-science-center\">Astrogeology Science Center</a><br><a data-mce-href=\"https://usgs.gov\" href=\"https://usgs.gov\" target=\"_blank\" rel=\"noopener\">U.S. Geological Survey</a><br>2255 N. Gemini Dr.<br>Flagstaff, AZ 86001</p>","tableOfContents":"<ul><li>Abstract&nbsp;&nbsp;</li><li>Introduction and Motivation&nbsp;&nbsp;</li><li>Model Description&nbsp;&nbsp;</li><li>Model Usage&nbsp;&nbsp;</li><li>Example&nbsp;</li><li>Summary&nbsp;&nbsp;</li><li>References Cited&nbsp;</li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2021-07-16","noUsgsAuthors":false,"publicationDate":"2021-07-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Williams, Kaj E. 0000-0003-1755-1872 kewilliams@usgs.gov","orcid":"https://orcid.org/0000-0003-1755-1872","contributorId":196988,"corporation":false,"usgs":true,"family":"Williams","given":"Kaj","email":"kewilliams@usgs.gov","middleInitial":"E.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":819344,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dundas, Colin M. 0000-0003-2343-7224 cdundas@usgs.gov","orcid":"https://orcid.org/0000-0003-2343-7224","contributorId":2937,"corporation":false,"usgs":true,"family":"Dundas","given":"Colin","email":"cdundas@usgs.gov","middleInitial":"M.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":819345,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Keszthelyi, Laszlo P. 0000-0003-1879-4331 laz@usgs.gov","orcid":"https://orcid.org/0000-0003-1879-4331","contributorId":227,"corporation":false,"usgs":true,"family":"Keszthelyi","given":"Laszlo","email":"laz@usgs.gov","middleInitial":"P.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":819346,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70222514,"text":"70222514 - 2021 - Using fission-track radiography coupled with scanning electron microscopy for efficient identification of solid-phase uranium mineralogy at a former uranium pilot mill (Grand Junction, Colorado)","interactions":[],"lastModifiedDate":"2021-08-02T13:07:59.439386","indexId":"70222514","displayToPublicDate":"2021-07-16T08:03:10","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1816,"text":"Geosciences","active":true,"publicationSubtype":{"id":10}},"title":"Using fission-track radiography coupled with scanning electron microscopy for efficient identification of solid-phase uranium mineralogy at a former uranium pilot mill (Grand Junction, Colorado)","docAbstract":"<div class=\"art-abstract in-tab hypothesis_container\"><div class=\"art-abstract in-tab hypothesis_container\">At a former uranium pilot mill in Grand Junction, Colorado, mine tailings and some subpile sediments were excavated to various depths to meet surface radiological standards, but residual solid-phase uranium below these excavation depths still occurs at concentrations above background. The combination of fission-track radiography and scanning electron microscope energy-dispersive X-ray spectroscopy (SEM-EDS) provides a uniquely efficient and quantitative way of determining mineralogic associations of uranium that can influence uranium mobility. After the creation of sample thin sections, a mica sheet is placed on those thin sections and irradiated in a nuclear research reactor. Decay of the irradiated uranium creates fission tracks that can be viewed with a microscope. The fission-track radiography images indicate thin section sample areas with elevated uranium that are focus areas for SEM-EDS work. EDS spectra provide quantitative elemental data that indicate the mineralogy of individual grains or grain coatings associated with the fission-track identification of elevated uranium. For the site in this study, the results indicated that uranium occurred (1) with coatings of aluminum–silicon (Al/Si) gel and gypsum, (2) dispersed in the unsaturated zone associated with evaporite-type salts, and (3) sorbed onto organic carbon. The Al/Si gel likely formed when low-pH waters were precipitated during calcite buffering, which in turn retained or precipitated trace amounts of Fe, As, U, V, Ca, and S. Understanding these mechanisms can help guide future laboratory and field-scale efforts in determining long-term uranium release rates to groundwater.<span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span></span></span></div></div>","language":"English","publisher":"MDPI","doi":"10.3390/geosciences11070294","usgsCitation":"Johnson, R., Hall, S., and Tigar, A., 2021, Using fission-track radiography coupled with scanning electron microscopy for efficient identification of solid-phase uranium mineralogy at a former uranium pilot mill (Grand Junction, Colorado): Geosciences, v. 11, no. 7, 294, 22 p., https://doi.org/10.3390/geosciences11070294.","productDescription":"294, 22 p.","ipdsId":"IP-127910","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":451499,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/geosciences11070294","text":"Publisher Index Page"},{"id":387623,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Grand Junction","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -108.665771484375,\n              38.993572058209466\n            ],\n            [\n              -108.402099609375,\n              38.993572058209466\n            ],\n            [\n              -108.402099609375,\n              39.14710270770074\n            ],\n            [\n              -108.665771484375,\n              39.14710270770074\n            ],\n            [\n              -108.665771484375,\n              38.993572058209466\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"11","issue":"7","noUsgsAuthors":false,"publicationDate":"2021-07-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Johnson, Raymond H.","contributorId":261676,"corporation":false,"usgs":false,"family":"Johnson","given":"Raymond H.","affiliations":[{"id":52954,"text":"Navarro - US Department of Energy Office Of Legacy Management Contractor","active":true,"usgs":false}],"preferred":false,"id":820400,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hall, Susan 0000-0002-0931-8694","orcid":"https://orcid.org/0000-0002-0931-8694","contributorId":201829,"corporation":false,"usgs":true,"family":"Hall","given":"Susan","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":820401,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tigar, Aaron","contributorId":261677,"corporation":false,"usgs":false,"family":"Tigar","given":"Aaron","email":"","affiliations":[{"id":52954,"text":"Navarro - US Department of Energy Office Of Legacy Management Contractor","active":true,"usgs":false}],"preferred":false,"id":820402,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70222137,"text":"70222137 - 2021 - Timing of iceberg scours and massive ice-rafting events in the subtropical North Atlantic","interactions":[],"lastModifiedDate":"2021-07-22T13:10:48.697227","indexId":"70222137","displayToPublicDate":"2021-07-16T07:01:16","publicationYear":"2021","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":"Timing of iceberg scours and massive ice-rafting events in the subtropical North Atlantic","docAbstract":"<p><span>High resolution seafloor mapping shows extraordinary evidence that massive (&gt;300 m thick) icebergs once drifted &gt;5,000 km south along the eastern United States, with &gt;700 iceberg scours now identified south of Cape Hatteras. Here we report on sediment cores collected from several buried scours that show multiple plow marks align with Heinrich Event 3 (H3), ~31,000 years ago. Numerical glacial iceberg simulations indicate that the transport of icebergs to these sites occurs during massive, but short-lived, periods of elevated meltwater discharge. Transport of icebergs to the subtropics, away from deep water formation sites, may explain why H3 was associated with only a modest increase in ice-rafting across the subpolar North Atlantic, and implies a complex relationship between freshwater forcing and climate change. Stratigraphy from subbottom data across the scour marks shows there are additional features that are both older and younger, and may align with other periods of elevated meltwater discharge.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/s41467-021-23924-0","usgsCitation":"Condron, A., and Hill, J.C., 2021, Timing of iceberg scours and massive ice-rafting events in the subtropical North Atlantic: Nature Communications, v. 12, 3668, 14 p., https://doi.org/10.1038/s41467-021-23924-0.","productDescription":"3668, 14 p.","ipdsId":"IP-120103","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":451504,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41467-021-23924-0","text":"Publisher Index Page"},{"id":387321,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United  States","state":"Florida, Georgia, South Carolina","otherGeospatial":"Atlantic Coast","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -76.37695312499999,\n              34.88593094075317\n            ],\n            [\n              -77.82714843749999,\n              34.161818161230386\n            ],\n            [\n              -79.365234375,\n              33.137551192346145\n            ],\n            [\n              -81.0791015625,\n              31.653381399664\n            ],\n            [\n              -81.474609375,\n              30.259067203213018\n            ],\n            [\n              -79.6728515625,\n              26.86328062676624\n            ],\n            [\n              -75.76171875,\n              27.916766641249065\n            ],\n            [\n              -73.0810546875,\n              28.92163128242129\n            ],\n            [\n              -71.71875,\n              34.161818161230386\n            ],\n            [\n              -76.37695312499999,\n              34.88593094075317\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"12","noUsgsAuthors":false,"publicationDate":"2021-06-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Condron, Alan 0000-0002-7337-1713","orcid":"https://orcid.org/0000-0002-7337-1713","contributorId":229547,"corporation":false,"usgs":false,"family":"Condron","given":"Alan","email":"","affiliations":[{"id":36711,"text":"Woods Hole Oceanographic Institution","active":true,"usgs":false}],"preferred":false,"id":819626,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hill, Jenna C. 0000-0002-7475-357X","orcid":"https://orcid.org/0000-0002-7475-357X","contributorId":21987,"corporation":false,"usgs":true,"family":"Hill","given":"Jenna","email":"","middleInitial":"C.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":819627,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70222088,"text":"70222088 - 2021 - Mapping of suspended sediment transport using acoustic methods in a Pantanal tributary","interactions":[],"lastModifiedDate":"2021-07-19T23:32:45.066778","indexId":"70222088","displayToPublicDate":"2021-07-15T18:24:48","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1552,"text":"Environmental Monitoring and Assessment","onlineIssn":"1573-2959","printIssn":"0167-6369","active":true,"publicationSubtype":{"id":10}},"title":"Mapping of suspended sediment transport using acoustic methods in a Pantanal tributary","docAbstract":"<p><span>Generally, fluvial systems are used for different objectives including energy production, water supply, recreation, and navigation. Thus, many impacts must be considered with their use. An understanding of sediment dynamics in fluvial systems is often of value for a variety of objectives, given that erosion and depositional processes can change the fluvial system morphology and can substantially alter the fluvial environment. In this sense, sediment monitoring is important because it helps to explain and quantify sediment dynamics in the environment. Hence, this study presents an innovative sediment monitoring technique: the use of the acoustic Doppler current profiler, commonly used to obtain discharge measurements, to obtain suspended sediment concentration (SSC). This paper aims to describe the application of additional corrections to the ADP-M9 signal to obtain SSC from measurement campaigns that used the ADP only for discharge measurements. The analyses were based on traditional sediment sampling methods and discharge measurements, with the ADP-M9, from 7 field campaigns at the Taquari River, a major tributary from the Alto Paraguay Basin, in the Pantanal Biome, known as the largest freshwater wetland system in the world. The correlation was assessed considering the following: (a) the equipment frequency operation mode (Smart Pulse or Fixed Frequency) and (b) by checking the influence of the sediment attenuation coefficient. Furthermore, extrapolation was conducted in filtered and unmeasured areas of the ADP to map the suspended sediment concentration over the entire cross section. Results indicate that ADP correlations can be an effective tool for estimating SSC in the Taquari River when samples cannot be collected. Correlations could be applied to past and future ADP measurements made at the location where the correlation was created, as long as similar environmental conditions are present as when the correlation was developed. The described technique can expand the amount of sediment data available at a monitoring site even with reduced traditional sampling and by leveraging instruments used for other monitoring purposes.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10661-021-09266-w","usgsCitation":"Wosiacki, L.F., Koji Suekame, H., Wood, M.S., Verissimo Goncalves, F., and Bleninger, T., 2021, Mapping of suspended sediment transport using acoustic methods in a Pantanal tributary: Environmental Monitoring and Assessment, v. 193, 493, 19 p., https://doi.org/10.1007/s10661-021-09266-w.","productDescription":"493, 19 p.","ipdsId":"IP-120116","costCenters":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":387258,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Brazil","otherGeospatial":"Taquari River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -57.041015625,\n              -22.105998799750566\n            ],\n            [\n              -54.31640625,\n              -19.84939395842278\n            ],\n            [\n              -52.9541015625,\n              -18.437924653474393\n            ],\n            [\n              -53.78906249999999,\n              -17.853290114098\n            ],\n            [\n              -53.7451171875,\n              -17.26672782352052\n            ],\n            [\n              -54.4921875,\n              -17.434510551522894\n            ],\n            [\n              -56.82128906249999,\n              -16.63619187839765\n            ],\n            [\n              -57.041015625,\n              -14.944784875088372\n            ],\n            [\n              -59.501953125,\n              -14.349547837185362\n            ],\n            [\n              -60.16113281250001,\n              -14.902321826141796\n            ],\n            [\n              -60.1171875,\n              -16.1724728083975\n            ],\n            [\n              -58.447265625,\n              -16.13026201203474\n            ],\n            [\n              -58.18359375,\n              -16.762467717941593\n            ],\n            [\n              -57.78808593749999,\n              -17.560246503294888\n            ],\n            [\n              -57.7001953125,\n              -18.729501999072138\n            ],\n            [\n              -58.3154296875,\n              -20.055931265194438\n            ],\n            [\n              -57.919921875,\n              -21.943045533438166\n            ],\n            [\n              -57.041015625,\n              -22.105998799750566\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"193","noUsgsAuthors":false,"publicationDate":"2021-07-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Wosiacki, Liege F.K.","contributorId":261197,"corporation":false,"usgs":false,"family":"Wosiacki","given":"Liege","email":"","middleInitial":"F.K.","affiliations":[{"id":52772,"text":"Federal University of Parana, Curitiba, Brazil","active":true,"usgs":false}],"preferred":false,"id":819460,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Koji Suekame, Hugo","contributorId":261198,"corporation":false,"usgs":false,"family":"Koji Suekame","given":"Hugo","email":"","affiliations":[{"id":52773,"text":"Federal University of Mato Grosso do Sul, Campo Grande, Brazil","active":true,"usgs":false}],"preferred":false,"id":819461,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wood, Molly S. 0000-0002-5184-8306 mswood@usgs.gov","orcid":"https://orcid.org/0000-0002-5184-8306","contributorId":788,"corporation":false,"usgs":true,"family":"Wood","given":"Molly","email":"mswood@usgs.gov","middleInitial":"S.","affiliations":[{"id":37786,"text":"WMA - 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,{"id":70222091,"text":"70222091 - 2021 - Influence of filter pore size on composition and relative abundance of bacterial communities and select host-specific MST markers in coastal waters of southern Lake Michigan","interactions":[],"lastModifiedDate":"2021-07-19T23:11:51.462326","indexId":"70222091","displayToPublicDate":"2021-07-15T18:02:55","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1702,"text":"Frontiers in Microbiology","onlineIssn":"1664-302X","active":true,"publicationSubtype":{"id":10}},"title":"Influence of filter pore size on composition and relative abundance of bacterial communities and select host-specific MST markers in coastal waters of southern Lake Michigan","docAbstract":"<p><span>Water clarity is often the primary guiding factor in determining whether a prefiltration step is needed to increase volumes processed for a range of microbial endpoints. In this study, we evaluate the effect of filter pore size on the bacterial communities detected by 16S rRNA gene sequencing and incidence of two host-specific microbial source tracking (MST) markers in a range of coastal waters from southern Lake Michigan, using two independent data sets collected in 2015 (bacterial communities) and 2016–2017 (MST markers). Water samples were collected from river, shoreline, and offshore areas. For bacterial communities, each sample was filtered through a 5.0-μm filter, followed by filtration through a 0.22-μm filter, resulting in 70 and 143 filter pairs for bacterial communities and MST markers, respectively. Following DNA extraction, the bacterial communities were compared using 16S rRNA gene amplicons of the V3–V4 region sequenced on a MiSeq Illumina platform. Presence of human (</span><i>Bacteroides</i><span>&nbsp;HF183) and gull (Gull2,&nbsp;</span><i>Catellicoccus marimammalium</i><span>) host-specific MST markers were detected by qPCR. Actinobacteriota, Bacteroidota, and Proteobacteria, collectively represented 96.9% and 93.9% of the relative proportion of all phyla in the 0.22- and 5.0-μm pore size filters, respectively. There were more families detected in the 5.0-μm pore size filter (368) than the 0.22-μm (228). There were significant differences in the number of taxa between the two filter sizes at all levels of taxonomic classification according to linear discriminant analysis (LDA) effect size (LEfSe) with as many as 986 taxa from both filter sizes at LDA effect sizes greater than 2.0. Overall, the Gull2 marker was found in higher abundance on the 5.0-μm filter than 0.22 μm with the reverse pattern for the HF183 marker. This discrepancy could lead to problems with identifying microbial sources of contamination. Collectively, these results highlight the importance of analyzing pre- and final filters for a wide range of microbial endpoints, including host-specific MST markers routinely used in water quality monitoring programs. Analysis of both filters may increase costs but provides more complete genomic data&nbsp;</span><i>via</i><span>&nbsp;increased sample volume for characterizing microbial communities in coastal waters.</span></p>","language":"English","publisher":"Frontiers Media","doi":"10.3389/fmicb.2021.665664","usgsCitation":"Byappanahalli, M., Nevers, M., Shively, D., Nakatsu, C.H., Kinzelman, J.L., and Phanikumar, M.S., 2021, Influence of filter pore size on composition and relative abundance of bacterial communities and select host-specific MST markers in coastal waters of southern Lake Michigan: Frontiers in Microbiology, v. 12, 665664, 11 p., https://doi.org/10.3389/fmicb.2021.665664.","productDescription":"665664, 11 p.","ipdsId":"IP-126915","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":451506,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fmicb.2021.665664","text":"Publisher Index 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