{"pageNumber":"370","pageRowStart":"9225","pageSize":"25","recordCount":68867,"records":[{"id":70192774,"text":"70192774 - 2017 - Osmoregulation and muscle water control in vitro facing salinity stress of the Amazon fish Oscar Astronotus ocellatus (Cichlidae)","interactions":[],"lastModifiedDate":"2017-11-17T11:13:04","indexId":"70192774","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3900,"text":"Marine and Freshwater Behaviour and Physiology","active":true,"publicationSubtype":{"id":10}},"title":"Osmoregulation and muscle water control in vitro facing salinity stress of the Amazon fish Oscar Astronotus ocellatus (Cichlidae)","docAbstract":"<p><span>Specimens of Oscar&nbsp;</span><i>Astronotus ocellatus</i><span><span>&nbsp;</span>from a fish farm were abruptly submitted to salt stress of 14 ppt and 20 ppt, for 3 and 8&nbsp;h to determine their plasma osmolality. Muscle wet body mass change<span>&nbsp;</span></span><i>in vitro</i><span><span>&nbsp;</span>was analyzed from control freshwater animals. Fish in 14 ppt presented no osmolality distress even after 8&nbsp;h. In 20 ppt, a slight increase (10%) in plasma osmolality was observed for both times of exposure when compared to control fish. Muscle slices submitted<span>&nbsp;</span></span><i>in vitro</i><span><span>&nbsp;</span>to hyper-osmotic saline displayed decreased body mass after 75&nbsp;min, and slices submitted to hypo-osmotic saline displayed increased body mass after 45&nbsp;min when compared to control (isosmotic saline). These results reinforce<span>&nbsp;</span></span><i>A. ocellatus</i><span>’s euryhalinity. The fish were able to regulate its internal medium and tolerate 14 ppt, but presented an intense osmotic challenge and low muscle hydration control when facing salinities of 20 ppt.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/10236244.2017.1387480","usgsCitation":"Gutierre, S.M., Schulte, J., Schofield, P.J., and Prodocimo, V., 2017, Osmoregulation and muscle water control in vitro facing salinity stress of the Amazon fish Oscar Astronotus ocellatus (Cichlidae): Marine and Freshwater Behaviour and Physiology, v. 50, no. 4, p. 303-311, https://doi.org/10.1080/10236244.2017.1387480.","productDescription":"9 p.","startPage":"303","endPage":"311","ipdsId":"IP-083604","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":438168,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F77P8WK3","text":"USGS data release","linkHelpText":"Osmoregulatory capacity and muscle water control facing salinity stress of the Amazon fish Astronotus ocellatus (Cichlidae)"},{"id":349058,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"50","issue":"4","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-17","publicationStatus":"PW","scienceBaseUri":"5a60fb22e4b06e28e9c22d26","contributors":{"authors":[{"text":"Gutierre, Silvia M. M. 0000-0003-1905-3535","orcid":"https://orcid.org/0000-0003-1905-3535","contributorId":198700,"corporation":false,"usgs":false,"family":"Gutierre","given":"Silvia","email":"","middleInitial":"M. M.","affiliations":[],"preferred":false,"id":716881,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schulte, Jessica M.","contributorId":198701,"corporation":false,"usgs":false,"family":"Schulte","given":"Jessica M.","affiliations":[],"preferred":false,"id":716882,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schofield, Pamela J. 0000-0002-8752-2797 pschofield@usgs.gov","orcid":"https://orcid.org/0000-0002-8752-2797","contributorId":168659,"corporation":false,"usgs":true,"family":"Schofield","given":"Pamela","email":"pschofield@usgs.gov","middleInitial":"J.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":716880,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Prodocimo, Viviane","contributorId":172504,"corporation":false,"usgs":false,"family":"Prodocimo","given":"Viviane","email":"","affiliations":[{"id":27057,"text":"Setor de Ciencias Biologicas, Universidade Federal do Parana, Brazil","active":true,"usgs":false}],"preferred":false,"id":716883,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70196421,"text":"70196421 - 2017 - Swimming behaviour and ascent paths of brook trout in a corrugated culvert","interactions":[],"lastModifiedDate":"2018-04-06T10:33:44","indexId":"70196421","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","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":"Swimming behaviour and ascent paths of brook trout in a corrugated culvert","docAbstract":"<p><span>Culverts may restrict fish movements under some hydraulic conditions such as shallow flow depths or high velocities. Although swimming capacity imposes limits to passage performance, behaviour also plays an important role in the ability of fish to overcome velocity barriers. Corrugated metal culverts are characterized by unsteady flow and existence of low‐velocity zones, which can improve passage success. Here, we describe swimming behaviour and ascent paths of 148 wild brook trout in a 1.5‐m section of a corrugated metal culvert located in Raquette Stream, Québec, Canada. Five passage trials were conducted in mid‐August, corresponding to specific mean cross‐sectional flow velocities ranging from 0.30 to 0.63&nbsp;m/s. Fish were individually introduced to the culvert and their movements recorded with a camera located above the water. Lateral and longitudinal positions were recorded at a rate of 3&nbsp;Hz in order to identify ascent paths. These positions were related to the distribution of flow depths and velocities in the culvert. Brook trout selected flow velocities from 0.2 to 0.5&nbsp;m/s during their ascents, which corresponded to the available flow velocities in the culvert at the low‐flow conditions. This however resulted in the use of low‐velocity zones at higher flows, mainly located along the walls of the culvert. Some fish also used the corrugations for sheltering, although the behaviour was marginal and did not occur at the highest flow condition. This study improves knowledge on fish behaviour during culvert ascents, which is an important aspect for developing reliable and accurate estimates of fish passage ability.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/rra.3187","usgsCitation":"Goerig, E., Bergeron, N.E., and Castro-Santos, T.R., 2017, Swimming behaviour and ascent paths of brook trout in a corrugated culvert: River Research and Applications, v. 33, no. 9, p. 1463-1471, https://doi.org/10.1002/rra.3187.","productDescription":"9 p.","startPage":"1463","endPage":"1471","ipdsId":"IP-082960","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":469370,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://espace.inrs.ca/id/eprint/6365/1/P003210.pdf","text":"External Repository"},{"id":353212,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"33","issue":"9","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-08","publicationStatus":"PW","scienceBaseUri":"5afee7c6e4b0da30c1bfc370","contributors":{"authors":[{"text":"Goerig, Elsa","contributorId":168522,"corporation":false,"usgs":false,"family":"Goerig","given":"Elsa","email":"","affiliations":[{"id":25321,"text":"Institut National de la Recherche Scientifique","active":true,"usgs":false}],"preferred":false,"id":732856,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bergeron, Normand E.","contributorId":173374,"corporation":false,"usgs":false,"family":"Bergeron","given":"Normand","email":"","middleInitial":"E.","affiliations":[{"id":27216,"text":"INRS, Quebec","active":true,"usgs":false}],"preferred":false,"id":732857,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Castro-Santos, Theodore R. 0000-0003-2575-9120 tcastrosantos@usgs.gov","orcid":"https://orcid.org/0000-0003-2575-9120","contributorId":3321,"corporation":false,"usgs":true,"family":"Castro-Santos","given":"Theodore","email":"tcastrosantos@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":732855,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70191086,"text":"sir20175113 - 2017 - Suspended sediment, turbidity, and stream water temperature in the Sauk River Basin, western Washington, water years 2012-16","interactions":[],"lastModifiedDate":"2017-11-08T11:26:15","indexId":"sir20175113","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","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":"2017-5113","title":"Suspended sediment, turbidity, and stream water temperature in the Sauk River Basin, western Washington, water years 2012-16","docAbstract":"<p class=\"p1\">The Sauk River is a federally designated Wild and Scenic River that drains a relatively undisturbed landscape along the western slope of the North Cascade Mountain Range, Washington, which includes the glaciated volcano, Glacier Peak. Naturally high sediment loads characteristic of basins draining volcanoes like Glacier Peak make the Sauk River a dominant contributor of sediment to the downstream main stem river, the Skagit River. Additionally, the Sauk River serves as important spawning and rearing habitat for several salmonid species in the greater Skagit River system. Because of the importance of sediment to morphology, flow-conveyance, and ecosystem condition, there is interest in understanding the magnitude and timing of suspended sediment and turbidity from the Sauk River system and its principal tributaries, the White Chuck and Suiattle Rivers, to the Skagit River.</p><p class=\"p1\">Suspended-sediment measurements, turbidity data, and water temperature data were collected at two U.S. Geological Survey streamgages in the upper and middle reaches of the Sauk River over a 4-year period extending from October 2011 to September 2015, and at a downstream location in the lower river for a 5-year period extending from October 2011 to September 2016. Over the collective 5-year study period, mean annual suspended-sediment loads at the three streamgages on the upper, middle, and lower Sauk River streamgages were 94,200 metric tons (t), 203,000 t, and 940,000 t streamgages, respectively. Fine (smaller than 0.0625 millimeter) total suspended-sediment load averaged 49 percent at the upper Sauk River streamgage, 42 percent at the middle Sauk River streamgage, and 34 percent at the lower Sauk River streamgage.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175113","collaboration":"Prepared in cooperation with Sauk-Suiattle Indian Tribe","usgsCitation":"Jaeger, K.L., Curran, C.A., Anderson, S.W., Morris, S.T., Moran, P.W., and Reams, K.A., 2017, Suspended sediment, turbidity, and stream water temperature in the Sauk River Basin, Washington, water years 2012–16: U.S. Geological Survey Scientific Investigations Report 2017–5113, 47 p., https://doi.org/10.3133/sir20175113.","productDescription":"Report: vii, 47 p.; Appendix; Data Release","numberOfPages":"60","onlineOnly":"Y","ipdsId":"IP-087993","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":347907,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5113/sir20175113.pdf","text":"Report","size":"7.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017-5113"},{"id":347906,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5113/coverthb.jpg"},{"id":347985,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F77S7MNB","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Suspended sediment and water temperature ​data, Sauk River, Washington, water years 2012–16"},{"id":348066,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2017/5113/sir20175113_appendixa.xlsx","text":"Appendix A","size":"14 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2017-5113 Appendix A"}],"country":"United States","state":"Washington","otherGeospatial":"Sauk River, Suiattle 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Salmon<br></li><li>Summary<br></li><li>Acknowledgments<br></li><li>References Cited<br></li><li>Appendix A. Particle-Size Distribution for Suspended-Sediment Samples Collected at Three Streamgages on the Sauk River, Western Washington, 2012–14<br></li></ul>","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2017-11-01","noUsgsAuthors":false,"publicationDate":"2017-11-01","publicationStatus":"PW","scienceBaseUri":"59fadd1fe4b0531197b13c75","contributors":{"authors":[{"text":"Jaeger, Kristin L. 0000-0002-1209-8506 kjaeger@usgs.gov","orcid":"https://orcid.org/0000-0002-1209-8506","contributorId":199335,"corporation":false,"usgs":true,"family":"Jaeger","given":"Kristin","email":"kjaeger@usgs.gov","middleInitial":"L.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":false,"id":711119,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Curran, Christopher A. 0000-0001-8933-416X ccurran@usgs.gov","orcid":"https://orcid.org/0000-0001-8933-416X","contributorId":1650,"corporation":false,"usgs":true,"family":"Curran","given":"Christopher","email":"ccurran@usgs.gov","middleInitial":"A.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":711120,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, Scott W. 0000-0003-1678-5204 swanderson@usgs.gov","orcid":"https://orcid.org/0000-0003-1678-5204","contributorId":107001,"corporation":false,"usgs":true,"family":"Anderson","given":"Scott","email":"swanderson@usgs.gov","middleInitial":"W.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":false,"id":711122,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Morris, Scott T.","contributorId":199336,"corporation":false,"usgs":false,"family":"Morris","given":"Scott","email":"","middleInitial":"T.","affiliations":[{"id":18052,"text":"Sauk-Suiattle Indian Tribe","active":true,"usgs":false}],"preferred":false,"id":711121,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Moran, Patrick W. 0000-0002-2002-3539 pwmoran@usgs.gov","orcid":"https://orcid.org/0000-0002-2002-3539","contributorId":489,"corporation":false,"usgs":true,"family":"Moran","given":"Patrick","email":"pwmoran@usgs.gov","middleInitial":"W.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":711124,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Reams, Katherine A. 0000-0001-7468-7026 kreams@usgs.gov","orcid":"https://orcid.org/0000-0001-7468-7026","contributorId":199337,"corporation":false,"usgs":true,"family":"Reams","given":"Katherine","email":"kreams@usgs.gov","middleInitial":"A.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":false,"id":711123,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70192604,"text":"70192604 - 2017 - Remote sensing for wetland mapping and historical change detection at the Nisqually River Delta","interactions":[],"lastModifiedDate":"2017-11-10T18:03:33","indexId":"70192604","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3504,"text":"Sustainability","active":true,"publicationSubtype":{"id":10}},"title":"Remote sensing for wetland mapping and historical change detection at the Nisqually River Delta","docAbstract":"<p><span>Coastal wetlands are important ecosystems for carbon storage and coastal resilience to climate change and sea-level rise. As such, changes in wetland habitat types can also impact ecosystem functions. Our goal was to quantify historical vegetation change within the Nisqually River watershed relevant to carbon storage, wildlife habitat, and wetland sustainability, and identify watershed-scale anthropogenic and hydrodynamic drivers of these changes. To achieve this, we produced time-series classifications of habitat, photosynthetic pathway functional types and species in the Nisqually River Delta for the years 1957, 1980, and 2015. Using an object-oriented approach, we performed a hierarchical classification on historical and current imagery to identify change within the watershed and wetland ecosystems. We found a 188.4 ha (79%) increase in emergent marsh wetland within the Nisqually River Delta between 1957 and 2015 as a result of restoration efforts that occurred in several phases through 2009. Despite these wetland gains, a total of 83.1 ha (35%) of marsh was lost between 1957 and 2015, particularly in areas near the Nisqually River mouth due to erosion and shifting river channels, resulting in a net wetland gain of 105.4 ha (44%). We found the trajectory of wetland recovery coincided with previous studies, demonstrating the role of remote sensing for historical wetland change detection as well as future coastal wetland monitoring.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/su9111919","usgsCitation":"Ballanti, L., Byrd, K.B., Woo, I., and Ellings, C., 2017, Remote sensing for wetland mapping and historical change detection at the Nisqually River Delta: Sustainability, v. 9, no. 11, p. 1-32, https://doi.org/10.3390/su9111919.","productDescription":"Article 1919; 32 p.","startPage":"1","endPage":"32","ipdsId":"IP-090392","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":461355,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/su9111919","text":"Publisher Index Page"},{"id":438166,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F78G8JN3","text":"USGS data release","linkHelpText":"Historical Time-series Classification of Habitat for 1957, 1980 and 2015 in the Nisqually River Delta, Washington"},{"id":348593,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Nisqually River Delta","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.74440765380858,\n              47.022631553729966\n            ],\n            [\n              -122.66407012939452,\n              47.022631553729966\n            ],\n            [\n              -122.66407012939452,\n              47.11172875008271\n            ],\n            [\n              -122.74440765380858,\n              47.11172875008271\n            ],\n            [\n              -122.74440765380858,\n              47.022631553729966\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"9","issue":"11","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-26","publicationStatus":"PW","scienceBaseUri":"5a06c8c7e4b09af898c860f4","contributors":{"authors":[{"text":"Ballanti, Laurel 0000-0002-6478-8322 lballanti@usgs.gov","orcid":"https://orcid.org/0000-0002-6478-8322","contributorId":198603,"corporation":false,"usgs":true,"family":"Ballanti","given":"Laurel","email":"lballanti@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":716528,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Byrd, Kristin B. 0000-0002-5725-7486 kbyrd@usgs.gov","orcid":"https://orcid.org/0000-0002-5725-7486","contributorId":3814,"corporation":false,"usgs":true,"family":"Byrd","given":"Kristin","email":"kbyrd@usgs.gov","middleInitial":"B.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":716529,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Woo, Isa 0000-0002-8447-9236 iwoo@usgs.gov","orcid":"https://orcid.org/0000-0002-8447-9236","contributorId":2524,"corporation":false,"usgs":true,"family":"Woo","given":"Isa","email":"iwoo@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":716530,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ellings, Christopher","contributorId":146989,"corporation":false,"usgs":false,"family":"Ellings","given":"Christopher","affiliations":[{"id":16766,"text":"Nisqually Indian Tribe, Dep't of Natural Resources, Olympia, WA","active":true,"usgs":false}],"preferred":false,"id":716531,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70194076,"text":"70194076 - 2017 - Updated polychlorinated biphenyl mass budget for Lake Michigan","interactions":[],"lastModifiedDate":"2017-11-17T10:39:46","indexId":"70194076","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Updated polychlorinated biphenyl mass budget for Lake Michigan","docAbstract":"<p><span>This study revisits and updates the Lake Michigan Mass Balance Project (LMMBP) for polychlorinated biphenyls (PCBs) that was conducted in 1994–1995. This work uses recent concentrations of PCBs in tributary and open lake water, air, and sediment to calculate an updated mass budget. Five of the 11 LMMBP tributaries were revisited in 2015. In these five tributaries, the geometric mean concentrations of ∑PCBs (sum of 85 congeners) ranged from 1.52 to 22.4 ng L</span><sup>–1</sup><span>. The highest concentrations of PCBs were generally found in the Lower Fox River and in the Indiana Harbor and Ship Canal. The input flows of ∑PCBs from wet deposition, dry deposition, tributary loading, and air to water exchange, and the output flows due to sediment burial, volatilization from water to air, and transport to Lake Huron and through the Chicago Diversion were calculated, as well as flows related to the internal processes of settling, resuspension, and sediment–water diffusion. The net transfer of ∑PCBs is 1240 ± 531 kg yr</span><sup>–1</sup><span><span>&nbsp;</span>out of the lake. This net transfer is 46% lower than that estimated in 1994–1995. PCB concentrations in most matrices in the lake are decreasing, which drove the decline of all the individual input and output flows. Atmospheric deposition has become negligible, while volatilization from the water surface is still a major route of loss, releasing PCBs from the lake into the air. Large masses of PCBs remain in the water column and surface sediments and are likely to contribute to the future efflux of PCBs from the lake to the air.</span></p>","language":"English","publisher":"ACS Publications","doi":"10.1021/acs.est.7b02904","usgsCitation":"Guo, J., Romanak, K., Westenbroek, S.M., Li, A., Kreis, R., Hites, R.A., and Venier, M., 2017, Updated polychlorinated biphenyl mass budget for Lake Michigan: Environmental Science & Technology, v. 51, no. 21, p. 12455-12465, https://doi.org/10.1021/acs.est.7b02904.","productDescription":"11 p.","startPage":"12455","endPage":"12465","ipdsId":"IP-087835","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":349052,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Lake Michigan","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -88.13232421875,\n              41.52502957323801\n            ],\n            [\n              -84.7705078125,\n              41.52502957323801\n            ],\n            [\n              -84.7705078125,\n              46.118941506107056\n            ],\n            [\n              -88.13232421875,\n              46.118941506107056\n            ],\n            [\n              -88.13232421875,\n              41.52502957323801\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"51","issue":"21","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-17","publicationStatus":"PW","scienceBaseUri":"5a60fb22e4b06e28e9c22d11","contributors":{"authors":[{"text":"Guo, Jiehong","contributorId":191232,"corporation":false,"usgs":false,"family":"Guo","given":"Jiehong","email":"","affiliations":[],"preferred":false,"id":722008,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Romanak, Kevin","contributorId":191234,"corporation":false,"usgs":false,"family":"Romanak","given":"Kevin","affiliations":[],"preferred":false,"id":722009,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Westenbroek, Stephen M. 0000-0002-6284-8643 smwesten@usgs.gov","orcid":"https://orcid.org/0000-0002-6284-8643","contributorId":2210,"corporation":false,"usgs":true,"family":"Westenbroek","given":"Stephen","email":"smwesten@usgs.gov","middleInitial":"M.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":722007,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Li, An","contributorId":200536,"corporation":false,"usgs":false,"family":"Li","given":"An","email":"","affiliations":[],"preferred":false,"id":722010,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kreis, Russell","contributorId":200345,"corporation":false,"usgs":false,"family":"Kreis","given":"Russell","email":"","affiliations":[],"preferred":false,"id":722011,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hites, Ronald A.","contributorId":191235,"corporation":false,"usgs":false,"family":"Hites","given":"Ronald","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":722012,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Venier, Marta","contributorId":191233,"corporation":false,"usgs":false,"family":"Venier","given":"Marta","email":"","affiliations":[],"preferred":false,"id":722013,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70193714,"text":"70193714 - 2017 - Submersed aquatic vegetation in Chesapeake Bay: Sentinel species in a changing world","interactions":[],"lastModifiedDate":"2017-11-20T12:04:15","indexId":"70193714","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":997,"text":"BioScience","active":true,"publicationSubtype":{"id":10}},"title":"Submersed aquatic vegetation in Chesapeake Bay: Sentinel species in a changing world","docAbstract":"<p><span>Chesapeake Bay has undergone profound changes since European settlement. Increases in human and livestock populations, associated changes in land use, increases in nutrient loadings, shoreline armoring, and depletion of fish stocks have altered the important habitats within the Bay. Submersed aquatic vegetation (SAV) is a critical foundational habitat and provides numerous benefits and services to society. In Chesapeake Bay, SAV species are also indicators of environmental change because of their sensitivity to water quality and shoreline development. As such, SAV has been deeply integrated into regional regulations and annual assessments of management outcomes, restoration efforts, the scientific literature, and popular media coverage. Even so, SAV in Chesapeake Bay faces many historical and emerging challenges. The future of Chesapeake Bay is indicated by and contingent on the success of SAV. Its persistence will require continued action, coupled with new practices, to promote a healthy and sustainable ecosystem.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/biosci/bix058","usgsCitation":"Orth, R.J., Dennison, W.C., Lefcheck, J.S., Gurbisz, C., Hannam, M.P., Keisman, J.L., Landry, J.B., Moore, K.A., Murphy, R., Patrick, C.J., Testa, J., Weller, D.E., and Wilcox, D.J., 2017, Submersed aquatic vegetation in Chesapeake Bay: Sentinel species in a changing world: BioScience, v. 67, no. 8, p. 698-712, https://doi.org/10.1093/biosci/bix058.","productDescription":"15 p.","startPage":"698","endPage":"712","ipdsId":"IP-082185","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"links":[{"id":469359,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/biosci/bix058","text":"Publisher Index Page"},{"id":349132,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Chesapeake Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -77.3712158203125,\n              36.848856608486905\n            ],\n            [\n              -75.618896484375,\n              36.848856608486905\n            ],\n            [\n              -75.618896484375,\n              39.609920257000795\n            ],\n            [\n              -77.3712158203125,\n              39.609920257000795\n            ],\n            [\n              -77.3712158203125,\n              36.848856608486905\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"67","issue":"8","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-14","publicationStatus":"PW","scienceBaseUri":"5a60fb22e4b06e28e9c22d15","contributors":{"authors":[{"text":"Orth, Robert J.","contributorId":140562,"corporation":false,"usgs":false,"family":"Orth","given":"Robert","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":720010,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dennison, William C.","contributorId":140570,"corporation":false,"usgs":false,"family":"Dennison","given":"William","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":720011,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lefcheck, Jonathon S.","contributorId":199773,"corporation":false,"usgs":false,"family":"Lefcheck","given":"Jonathon","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":720012,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gurbisz, Cassie","contributorId":199774,"corporation":false,"usgs":false,"family":"Gurbisz","given":"Cassie","email":"","affiliations":[],"preferred":false,"id":720013,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hannam, Michael P.","contributorId":199775,"corporation":false,"usgs":false,"family":"Hannam","given":"Michael","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":720014,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Keisman, Jennifer L. 0000-0001-6808-9193 jkeisman@usgs.gov","orcid":"https://orcid.org/0000-0001-6808-9193","contributorId":198107,"corporation":false,"usgs":true,"family":"Keisman","given":"Jennifer","email":"jkeisman@usgs.gov","middleInitial":"L.","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science Center","active":true,"usgs":true}],"preferred":true,"id":720009,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Landry, J. Brooke","contributorId":199776,"corporation":false,"usgs":false,"family":"Landry","given":"J.","email":"","middleInitial":"Brooke","affiliations":[],"preferred":false,"id":720015,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Moore, Kenneth A.","contributorId":140569,"corporation":false,"usgs":false,"family":"Moore","given":"Kenneth","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":720016,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Murphy, Rebecca 0000-0003-3391-1823","orcid":"https://orcid.org/0000-0003-3391-1823","contributorId":199777,"corporation":false,"usgs":false,"family":"Murphy","given":"Rebecca","email":"","affiliations":[{"id":37215,"text":"University of Maryland Center for Environmental Science","active":true,"usgs":false}],"preferred":true,"id":720017,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Patrick, Christopher J.","contributorId":199778,"corporation":false,"usgs":false,"family":"Patrick","given":"Christopher","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":720018,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Testa, Jeremy","contributorId":199779,"corporation":false,"usgs":false,"family":"Testa","given":"Jeremy","affiliations":[],"preferred":false,"id":720019,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Weller, Donald E.","contributorId":199780,"corporation":false,"usgs":false,"family":"Weller","given":"Donald","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":720020,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Wilcox, David J.","contributorId":140565,"corporation":false,"usgs":false,"family":"Wilcox","given":"David","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":720021,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70193347,"text":"70193347 - 2017 - The response of soil and stream chemistry to decreases in acid deposition in the Catskill Mountains, New York, USA","interactions":[],"lastModifiedDate":"2017-11-01T10:33:18","indexId":"70193347","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1555,"text":"Environmental Pollution","active":true,"publicationSubtype":{"id":10}},"title":"The response of soil and stream chemistry to decreases in acid deposition in the Catskill Mountains, New York, USA","docAbstract":"<p><span>The Catskill Mountains have been adversely impacted by decades of acid deposition, however, since the early 1990s, levels have decreased sharply as a result of decreases in emissions of sulfur dioxide and nitrogen oxides. This study examines trends in acid deposition, stream-water chemistry, and soil chemistry in the southeastern Catskill Mountains. We measured significant reductions in acid deposition and improvement in stream-water quality in 5 streams included in this study from 1992 to 2014. The largest, most significant trends were for sulfate (SO</span><sub>4</sub><sup>2−</sup><span>) concentrations (mean trend of&nbsp;−2.5 μeq L</span><sup>−1</sup><span><span>&nbsp;</span>yr</span><sup>−1</sup><span>); hydrogen ion (H</span><sup>+</sup><span>) and inorganic monomeric aluminum (Al</span><sub>im</sub><span>) also decreased significantly (mean trends of&nbsp;−0.3 μeq L</span><sup>−1</sup><span><span>&nbsp;</span>yr</span><sup>−1</sup><span><span>&nbsp;</span>for H</span><sup>+</sup><span><span>&nbsp;</span>and&nbsp;−0.1 μeq L</span><sup>−1</sup><span><span>&nbsp;</span>yr</span><sup>−1</sup><span><span>&nbsp;</span>for Al</span><sub>im</sub><span><span>&nbsp;</span>for the 3 most acidic sites). Acid neutralizing capacity (ANC) increased by a mean of 0.65 μeq L</span><sup>−1</sup><span><span>&nbsp;</span>yr</span><sup>−1</sup><span><span>&nbsp;</span>for all 5 sites, which was 4 fold less than the decrease in SO</span><sub>4</sub><sup>2−</sup><span>concentrations. These upward trends in ANC were limited by coincident decreases in base cations (−1.3 μeq L</span><sup>−1</sup><span><span>&nbsp;</span>yr</span><sup>−1</sup><span><span>&nbsp;</span>for calcium&nbsp;+&nbsp;magnesium). No significant trends were detected in stream-water nitrate (NO</span><sub>3</sub><sup>−</sup><span>) concentrations despite significant decreasing trends in NO</span><sub>3</sub><sup>−</sup><span><span>&nbsp;</span>wet deposition. We measured no recovery in soil chemistry which we attributed to an initially low soil buffering capacity that has been further depleted by decades of acid deposition. Tightly coupled decreasing trends in stream-water silicon (Si) (−0.2 μeq L</span><sup>−1</sup><span><span>&nbsp;</span>yr</span><sup>−1</sup><span>) and base cations suggest a decrease in the soil mineral weathering rate. We hypothesize that a decrease in the ionic strength of soil water and shallow groundwater may be the principal driver of this apparent decrease in the weathering rate. A decreasing weathering rate would help to explain the slow recovery of stream pH and ANC as well as that of soil base cations.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.envpol.2017.06.001","usgsCitation":"McHale, M., Burns, D.A., Siemion, J., and Antidormi, M.R., 2017, The response of soil and stream chemistry to decreases in acid deposition in the Catskill Mountains, New York, USA: Environmental Pollution, v. 229, p. 607-620, https://doi.org/10.1016/j.envpol.2017.06.001.","productDescription":"14 p.","startPage":"607","endPage":"620","ipdsId":"IP-085558","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":469361,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.envpol.2017.06.001","text":"Publisher Index Page"},{"id":347962,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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,{"id":70193355,"text":"70193355 - 2017 - Loss of ecosystem services due to chronic pollution of forests and surface waters in the Adirondack region (USA)","interactions":[],"lastModifiedDate":"2017-11-01T10:52:01","indexId":"70193355","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Loss of ecosystem services due to chronic pollution of forests and surface waters in the Adirondack region (USA)","docAbstract":"<p>Sustaining recent progress in mitigating acid pollution could require lower emissions caps that will give rise to real or perceived tradeoffs between healthy ecosystems and inexpensive energy. Because most impacts of acid rain affect ecosystem functions that are poorly understood by policy-makers and the public, an ecosystem services (ES) framework can help to measure how pollution affects human well-being. Focused on the Adirondack region (USA), a global ‘hot-spot’ of acid pollution, we measured how the chronic acidification of the region's forests, lakes, and streams has affected the potential economic and cultural benefits they provide to society. We estimated that acid-impaired hardwood forests provide roughly half of the potential benefits of forests on moderate to well-buffered soils – an estimated loss of ∼ $10,000 ha<sup>−1</sup> in net present value of wood products, maple syrup, carbon sequestration, and visual quality. Acidic deposition has had only nominal impact – relative to the effects of surficial geology and till depth – on the capacity of Adirondack lakes and streams to provide water suitable for drinking. However, as pH declines in lakes, the estimated value of recreational fishing decreases significantly due to loss of desirable fish such as trout. Hatchery stocking programs have partially offset the pollution-mediated losses of fishery value, most effectively in the pH range 4.8–5.5, but are costly and limited in scope. Although any estimates of the monetary ‘damages’ of acid rain have significant uncertainties, our findings highlight some of the more tangible economic and cultural benefits of pollution mitigation efforts, which continue to face litigation and political opposition.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2016.12.069","usgsCitation":"Beier, C.M., Caputo, J., Lawrence, G.B., and Sullivan, T.J., 2017, Loss of ecosystem services due to chronic pollution of forests and surface waters in the Adirondack region (USA): Journal of Environmental Management, v. 191, p. 19-27, https://doi.org/10.1016/j.jenvman.2016.12.069.","productDescription":"9 p.","startPage":"19","endPage":"27","ipdsId":"IP-082679","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":469355,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jenvman.2016.12.069","text":"Publisher Index 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glawrenc@usgs.gov","orcid":"https://orcid.org/0000-0002-8035-2350","contributorId":867,"corporation":false,"usgs":true,"family":"Lawrence","given":"Gregory","email":"glawrenc@usgs.gov","middleInitial":"B.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":718803,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sullivan, Timothy J.","contributorId":196720,"corporation":false,"usgs":false,"family":"Sullivan","given":"Timothy","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":718806,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70193410,"text":"70193410 - 2017 - Mediterranean California’s water use future under multiple scenarios of developed and agricultural land use change","interactions":[],"lastModifiedDate":"2017-11-13T11:02:58","indexId":"70193410","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Mediterranean California’s water use future under multiple scenarios of developed and agricultural land use change","docAbstract":"<p><span>With growing demand and highly variable inter-annual water supplies, California’s water use future is fraught with uncertainty. Climate change projections, anticipated population growth, and continued agricultural intensification, will likely stress existing water supplies in coming decades. Using a state-and-transition simulation modeling approach, we examine a broad suite of spatially explicit future land use scenarios and their associated county-level water use demand out to 2062. We examined a range of potential water demand futures sampled from a 20-year record of historical (1992–2012) data to develop a suite of potential future land change scenarios, including low/high change scenarios for urbanization and agriculture as well as “lowest of the low” and “highest of the high” anthropogenic use. Future water demand decreased 8.3 billion cubic meters (Bm</span><sup>3</sup><span>) in the lowest of the low scenario and decreased 0.8 Bm</span><sup>3</sup><span><span>&nbsp;</span>in the low agriculture scenario. The greatest increased water demand was projected for the highest of the high land use scenario (+9.4 Bm</span><sup>3</sup><span>), high agricultural expansion (+4.6 Bm</span><sup>3</sup><span>), and high urbanization (+2.1 Bm</span><sup>3</sup><span>) scenarios. Overall, these scenarios show agricultural land use decisions will likely drive future demand more than increasing municipal and industrial uses, yet improved efficiencies across all sectors could lead to potential water use savings. Results provide water managers with information on diverging land use and water use futures, based on historical, observed land change trends and water use histories.</span></p>","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0187181","usgsCitation":"Wilson, T., Sleeter, B.M., and Cameron, D.R., 2017, Mediterranean California’s water use future under multiple scenarios of developed and agricultural land use change: PLoS ONE, v. 12, no. 10, p. 1-21, https://doi.org/10.1371/journal.pone.0187181.","productDescription":"e0187181; 21 p.","startPage":"1","endPage":"21","ipdsId":"IP-085977","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":469373,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0187181","text":"Publisher Index 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Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":718939,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cameron, D. Richard","contributorId":168996,"corporation":false,"usgs":false,"family":"Cameron","given":"D.","email":"","middleInitial":"Richard","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":718940,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70193415,"text":"70193415 - 2017 - Predicting outcomes of restored Everglades high flow: A model system for scientifically managed floodplains","interactions":[],"lastModifiedDate":"2017-11-01T13:09:16","indexId":"70193415","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Predicting outcomes of restored Everglades high flow: A model system for scientifically managed floodplains","docAbstract":"Restoration of higher flows through the Everglades is intended to reestablish sheetflow to rebuild a well-functioning ridge and slough landscape that supports a productive and diverse ecosystem. Our objective of the study was to use hydrologic simulations and biophysical analysis to predict restoration outcomes for five major subbasins of the Everglades. Five different scenarios of restoration were examined, and for each we predicted an outcome based on metrics describing the present-day condition of the landscape and additional metrics determined by modeling the hydrologic changes accompanying restoration. Restoration scenarios spanned from a baseline case with average annual flows of about 52% of the predrainage flow to the most aggressive scenario that permits 91% of the predrainage flow. Our predictions indicated that all restoration scenarios could benefit the functionality of the ridge-slough ecosystem. However, the difference between any single restoration scenario and the “no restoration” baseline was far greater than was the difference between any two levels of restoration. Interestingly, our analysis suggested that the most extensive (and highest cost) restoration scenarios are not likely to improve ridge and slough function more than less extensive restoration options. However, the value of more aggressive restoration may lie in factors not considered directly in our analysis. For example, an important reason to implement the more aggressive restoration scenarios could be additional flexibility that permitting greater flow allows for adaptively managing the ecosystem while also serving water needs for southeastern Florida in what could be a drier Everglades in the coming decades.","language":"English","publisher":"Wiley","doi":"10.1111/rec.12479","usgsCitation":"Choi, J., and Harvey, J., 2017, Predicting outcomes of restored Everglades high flow: A model system for scientifically managed floodplains: Restoration Ecology, v. 25, no. S1, p. S39-S47, https://doi.org/10.1111/rec.12479.","productDescription":"9 p.","startPage":"S39","endPage":"S47","ipdsId":"IP-079752","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":348010,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades","volume":"25","issue":"S1","publicComments":"Special issue: Synthesis of Everglades Research and Ecosystem Services (SERES) project","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-22","publicationStatus":"PW","scienceBaseUri":"59fadd1ae4b0531197b13c4d","contributors":{"authors":[{"text":"Choi, Jay jchoi@usgs.gov","contributorId":4731,"corporation":false,"usgs":true,"family":"Choi","given":"Jay","email":"jchoi@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":718966,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harvey, Judson 0000-0002-2654-9873 jwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2654-9873","contributorId":140228,"corporation":false,"usgs":true,"family":"Harvey","given":"Judson","email":"jwharvey@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":false,"id":718967,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70193424,"text":"70193424 - 2017 - Variation in abundance of Pacific Blue Mussel (Mytilus trossulus) in the Northern Gulf of Alaska, 2006–2015","interactions":[],"lastModifiedDate":"2018-02-28T09:43:30","indexId":"70193424","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5536,"text":"Deep Sea Research Part II: Topical Studies in Oceanography","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Variation in abundance of Pacific Blue Mussel (<i>Mytilus trossulus</i>) in the Northern Gulf of Alaska, 2006–2015","title":"Variation in abundance of Pacific Blue Mussel (Mytilus trossulus) in the Northern Gulf of Alaska, 2006–2015","docAbstract":"<p><span>Mussels are conspicuous and ecologically important components of nearshore marine communities around the globe. Pacific blue mussels (Mytilus trossulus) are common residents of intertidal habitats in protected waters of the North Pacific, serving as a conduit of primary production to a wide range of nearshore consumers including predatory invertebrates, sea ducks, shorebirds, sea otter</span><span><span><a title=\"Learn more about Sea otter\" href=\"http://www.sciencedirect.com/topics/agricultural-and-biological-sciences/sea-otter\" data-mce-href=\"http://www.sciencedirect.com/topics/agricultural-and-biological-sciences/sea-otter\">s</a>, humans, and other terrestrial mammals. We monitored seven metrics of intertidal Pacific blue mussel abundance at five sites in each of three regions across the northern Gulf of Alaska: Katmai National Park and Preserve (Katmai) (2006–2015), Kenai Fjords National Park (Kenai Fjords) (2008–2015) and western Prince William Sound (WPWS) (2007–2015). Metrics included estimates of: % cover at two tide heights in randomly selected rocky intertidal habitat; and in selected mussel beds estimates of: the density of large mussels (≥ 20 mm); density of all mussels<span>&nbsp;</span></span></span><u>&gt;</u><span><span>&nbsp;</span>2 mm estimated from cores extracted from those mussel beds; bed size; and total abundance of large and all mussels, i.e. the product of density and bed size. We evaluated whether these measures of mussel abundance differed among sites or regions, whether mussel abundance varied over time, and whether temporal patterns in abundance were site specific, or synchronous at regional or Gulf-wide spatial scales. We found that, for all metrics, mussel abundance varied on a site-by-site basis. After accounting for site differences, we found similar temporal patterns in several measures of abundance (both % cover metrics, large mussel density, large mussel abundance, and mussel abundance estimated from cores), in which abundance was initially high, declined significantly over several years, and subsequently recovered. Averaged across all sites, we documented declines of 84% in large mussel abundance through 2013 with recovery to 41% of initial abundance by 2015. These findings suggest that factors operating across the northern Gulf of Alaska were affecting mussel survival and subsequently abundance. In contrast, density of primarily small mussels obtained from cores (as an index of recruitment), varied markedly by site, but did not show meaningful temporal trends. We interpret this to indicate that settlement was driven by site-specific features rather than Gulf wide factors. By extension, we hypothesize that temporal changes in mussel abundance observed was not a result of temporal variation in larval supply leading to variation in recruitment, but rather suggestive of mortality as a primary demographic factor driving mussel abundance. Our results highlight the need to better understand underlying mechanisms of change in mussels, as well as implications of that change to nearshore consumers.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.dsr2.2017.04.008","usgsCitation":"Bodkin, J.L., Coletti, H.A., Ballachey, B.E., Monson, D., Esler, D., and Dean, T.A., 2017, Variation in abundance of Pacific Blue Mussel (Mytilus trossulus) in the Northern Gulf of Alaska, 2006–2015: Deep Sea Research Part II: Topical Studies in Oceanography, v. 147, p. 87-97, https://doi.org/10.1016/j.dsr2.2017.04.008.","productDescription":"11 p.","startPage":"87","endPage":"97","ipdsId":"IP-079564","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":461363,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.dsr2.2017.04.008","text":"Publisher Index Page"},{"id":348052,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Gulf of Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -156.40136718749997,\n              56.80087831233043\n            ],\n            [\n              -146.689453125,\n              56.80087831233043\n            ],\n            [\n              -146.689453125,\n              61.01572481397616\n            ],\n            [\n              -156.40136718749997,\n              61.01572481397616\n            ],\n            [\n              -156.40136718749997,\n              56.80087831233043\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"147","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59fadd19e4b0531197b13c48","contributors":{"authors":[{"text":"Bodkin, James L. 0000-0003-1641-4438 jbodkin@usgs.gov","orcid":"https://orcid.org/0000-0003-1641-4438","contributorId":748,"corporation":false,"usgs":true,"family":"Bodkin","given":"James","email":"jbodkin@usgs.gov","middleInitial":"L.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":718995,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coletti, Heather A.","contributorId":187561,"corporation":false,"usgs":false,"family":"Coletti","given":"Heather","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":718996,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ballachey, Brenda E. 0000-0003-1855-9171 bballachey@usgs.gov","orcid":"https://orcid.org/0000-0003-1855-9171","contributorId":2966,"corporation":false,"usgs":true,"family":"Ballachey","given":"Brenda","email":"bballachey@usgs.gov","middleInitial":"E.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":718997,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Monson, Daniel 0000-0002-4593-5673 dmonson@usgs.gov","orcid":"https://orcid.org/0000-0002-4593-5673","contributorId":196670,"corporation":false,"usgs":true,"family":"Monson","given":"Daniel","email":"dmonson@usgs.gov","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":718998,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Esler, Daniel 0000-0001-5501-4555 desler@usgs.gov","orcid":"https://orcid.org/0000-0001-5501-4555","contributorId":5465,"corporation":false,"usgs":true,"family":"Esler","given":"Daniel","email":"desler@usgs.gov","affiliations":[{"id":12437,"text":"Simon Fraser University, Centre for Wildlife Ecology","active":true,"usgs":false},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":718994,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dean, Thomas A.","contributorId":187562,"corporation":false,"usgs":false,"family":"Dean","given":"Thomas","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":718999,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70195395,"text":"70195395 - 2017 - Disrupted carbon cycling in restored and unrestored urban streams: Critical timescales and controls","interactions":[],"lastModifiedDate":"2018-02-13T13:30:28","indexId":"70195395","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2620,"text":"Limnology and Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Disrupted carbon cycling in restored and unrestored urban streams: Critical timescales and controls","docAbstract":"<p><span>Carbon fixation and respiration in flowing waterways play significant roles in global and regional carbon budgets, yet how land use and watershed management interact with temporal disturbances (storms) to influence metabolism remains poorly understood. Here, we combine long-term with synoptic sampling of metabolism and its variable controls in neighboring watersheds of the Chesapeake Bay to resolve limiting factors and critical timescales associated with recovery from disturbance. We found that, relative to predictions of the river continuum concept, focal streams have “disrupted” carbon cycles, with carbon balances closer to zero, and, in some cases, tighter coupling between gross primary production (GPP) and ecosystem respiration (ER), attributable to carbon limitation. Carbon became limiting to ER where flashy storm hydrographs and simplified channel geomorphology inhibited accumulation of fine sediment. Shannon entropy analysis of timescales revealed that fine sediment served as a time-release capsule for nutrients and carbon over 4–6 months, fueling biogeochemical transformations. Loss of fines through hydraulic disturbance had up to 30-d impacts on GPP and 50-d impacts on ER in the stream with carbon limitation. In contrast, where GPP and ER were not tightly coupled, recovery occurred within 1 d. Results suggest that a complex interplay between nutrient and carbon limitation and mechanical and chemical disturbance governs patterns and consequences of disrupted carbon cycling in urban streams. Carbon limitation and tight GPP/ER coupling enhance the vulnerability of stream ecosystem functions, but best management practices that target stormflow reduction and channel geomorphic diversity can break that coupling and minimize carbon cycle disruptions.</span></p>","language":"English","publisher":"ASLO","doi":"10.1002/lno.10613","usgsCitation":"Larsen, L.G., and Harvey, J., 2017, Disrupted carbon cycling in restored and unrestored urban streams: Critical timescales and controls: Limnology and Oceanography, v. 62, no. S1, p. S160-S182, https://doi.org/10.1002/lno.10613.","productDescription":"23 p.","startPage":"S160","endPage":"S182","ipdsId":"IP-085307","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":469363,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/lno.10613","text":"Publisher Index Page"},{"id":438167,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7HM56Q8","text":"USGS data release","linkHelpText":"Disrupted carbon cycling in restored and unrestored urban streams: Critical timescales and controls"},{"id":351530,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"62","issue":"S1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-27","publicationStatus":"PW","scienceBaseUri":"5afee7c7e4b0da30c1bfc372","contributors":{"authors":[{"text":"Larsen, L. G.","contributorId":198634,"corporation":false,"usgs":false,"family":"Larsen","given":"L.","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":728396,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harvey, Judson 0000-0002-2654-9873 jwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2654-9873","contributorId":140228,"corporation":false,"usgs":true,"family":"Harvey","given":"Judson","email":"jwharvey@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":false,"id":728395,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70193949,"text":"70193949 - 2017 - Detecting spatial patterns of rivermouth processes using a geostatistical framework for near-real-time analysis","interactions":[],"lastModifiedDate":"2017-11-16T14:50:03","indexId":"70193949","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1551,"text":"Environmental Modelling and Software","active":true,"publicationSubtype":{"id":10}},"title":"Detecting spatial patterns of rivermouth processes using a geostatistical framework for near-real-time analysis","docAbstract":"<p><span>This paper proposes a geospatial analysis framework and software to interpret water-quality sampling data from towed undulating vehicles in near-real time. The framework includes data quality assurance and quality control processes, automated kriging interpolation along undulating paths, and local hotspot and cluster analyses. These methods are implemented in an interactive Web application developed using the Shiny package in the R programming environment to support near-real time analysis along with 2- and 3-D visualizations. The approach is demonstrated using historical sampling data from an undulating vehicle deployed at three rivermouth sites in Lake Michigan during 2011. The normalized root-mean-square error (NRMSE) of the interpolation averages approximately 10% in 3-fold cross validation. The results show that the framework can be used to track river plume dynamics and provide insights on mixing, which could be related to wind and seiche events.</span></p>","language":"English","publisher":"Elevier","doi":"10.1016/j.envsoft.2017.06.049","usgsCitation":"Collingsworth, P.D., Xu, W., Bailey, B., Carlson Mazur, M.L., Schaeffer, J., and Minsker, B., 2017, Detecting spatial patterns of rivermouth processes using a geostatistical framework for near-real-time analysis: Environmental Modelling and Software, v. 97, p. 72-85, https://doi.org/10.1016/j.envsoft.2017.06.049.","productDescription":"14 p.","startPage":"72","endPage":"85","ipdsId":"IP-071315","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":469375,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.envsoft.2017.06.049","text":"Publisher Index Page"},{"id":349016,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Lake Michigan","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -87.67364501953124,\n              43.058854606434494\n            ],\n            [\n              -86.27288818359375,\n              43.058854606434494\n            ],\n            [\n              -86.27288818359375,\n              44.10533762552548\n            ],\n            [\n              -87.67364501953124,\n              44.10533762552548\n            ],\n            [\n              -87.67364501953124,\n              43.058854606434494\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"97","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fb22e4b06e28e9c22d13","contributors":{"authors":[{"text":"Xu, Wenzhao","contributorId":200526,"corporation":false,"usgs":false,"family":"Xu","given":"Wenzhao","email":"","affiliations":[],"preferred":false,"id":722554,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Collingsworth, Paris D.","contributorId":145526,"corporation":false,"usgs":false,"family":"Collingsworth","given":"Paris","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":722555,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bailey, Barbara","contributorId":200527,"corporation":false,"usgs":false,"family":"Bailey","given":"Barbara","email":"","affiliations":[],"preferred":false,"id":722556,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carlson Mazur, Martha L.","contributorId":95377,"corporation":false,"usgs":true,"family":"Carlson Mazur","given":"Martha","email":"","middleInitial":"L.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":722557,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schaeffer, Jeff 0000-0003-3430-0872 jschaeffer@usgs.gov","orcid":"https://orcid.org/0000-0003-3430-0872","contributorId":2041,"corporation":false,"usgs":true,"family":"Schaeffer","given":"Jeff","email":"jschaeffer@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":722558,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Minsker, Barbara","contributorId":200528,"corporation":false,"usgs":false,"family":"Minsker","given":"Barbara","email":"","affiliations":[],"preferred":false,"id":722559,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70192245,"text":"sir20175128 - 2017 - Simulation of groundwater flow and pumping scenarios for 1900–2050 near Mount Pleasant, South Carolina","interactions":[],"lastModifiedDate":"2020-08-25T16:37:11.720369","indexId":"sir20175128","displayToPublicDate":"2017-10-31T12:15:00","publicationYear":"2017","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":"2017-5128","title":"Simulation of groundwater flow and pumping scenarios for 1900–2050 near Mount Pleasant, South Carolina","docAbstract":"<p>Groundwater withdrawals from the Upper Cretaceous-age Middendorf aquifer in South Carolina have created a large, regional cone of depression in the potentiometric surface of the Middendorf aquifer in Charleston and Berkeley Counties, South Carolina. Groundwater-level declines of as much as 249 feet have been observed in wells over the past 125 years and are a result of groundwater use for public water supply, irrigation, and private industry. To address the concerns of users of the Middendorf aquifer, the U.S. Geological Survey, in cooperation with Mount Pleasant Waterworks (MPW), recalibrated an existing groundwater-flow model to incorporate additional groundwater-use and water-level data since 2008. This recalibration process consisted of a technique of parameter estimation that uses regularized inversion and employs “pilot points” for spatial hydraulic property characterization. The groundwater-flow system of the Coastal Plain physiographic province of South Carolina and parts of Georgia and North Carolina was simulated using the U.S. Geological Survey finite-difference computer code MODFLOW-2000.</p><p>After the model recalibration, the following six predictive water-management scenarios were created to simulate potential changes in groundwater flow and groundwater-level conditions in the Mount Pleasant, South Carolina, area: Scenario 1—maximize MPW reverse-osmosis plant capacity by increasing groundwater withdrawals from the Middendorf aquifer from 3.9 million gallons per day (Mgal/d), which was the amount withdrawn in 2015, to 8.58 Mgal/d; Scenario 2—same as Scenario 1, but with the addition of a 0.5 Mgal/d supply well in the Middendorf aquifer near Moncks Corner, South Carolina; Scenario 3—same as Scenario 1, but with the addition of a 1.5 Mgal/d supply well in the Middendorf aquifer near Moncks Corner, South Carolina; Scenario 4—maximize MPW well capacity by increasing withdrawals from the Middendorf aquifer from 3.9 Mgal/d (in 2015) to 10.16 Mgal/d; Scenario 5—minimize MPW surface-water purchase from the Charleston Water System by adding supply wells and increasing withdrawals from the Middendorf aquifer from 3.9 Mgal/d (in 2015) to 12.16 Mgal/d; and Scenario 6—same as Scenario 1, but with he addition of quarterly model stress periods to simulate seasonal variations in the groundwater withdrawals. Results from the simulations indicated further decline of groundwater levels creating cones of depressions near pumping wells in the Middendorf aquifer in the Mount Pleasant, South Carolina, area between 2015 and 2050 for all six scenarios.</p><p>Simulation results from Scenario 1 showed an average decline of about 150 feet in the groundwater levels of the MPW production wells. Simulated hydrographs for two area observation wells illustrate the gradual decline in groundwater levels with overall changes in water-level altitudes of –92 and –33 feet, respectively. Simulated groundwater altitudes at a hypothetical observation well located in the MPW well field declined 121 feet between 2015 and 2050.</p><p>Scenarios 2 and 3 have the same pumping rates as Scenario 1 for the MPW production wells; however, a single hypothetical pumping well was added in the Middendorf aquifer near the town of Moncks Corner, South Carolina. This hypothetical pumping well has a withdrawal rate of 0.5 Mgal/d for Scenario 2 and 1.5 Mgal/d for Scenario 3. A comparison to the 2050 Scenario 1 simulation indicates groundwater altitudes for Scenarios 2 and Scenario 3 are 3 feet and 8 feet lower, respectively, at the MPW production wells.</p><p>Scenario 4 simulates the maximum pumping capacity of 10.16 Mgal/d for the MPW network of production wells. Simulated 2050 groundwater altitudes for this simulation declined to –359 feet. Simulated hydrographs for two observation wells show groundwater-level declines of 116 and 41 feet, respectively. Simulated differences in groundwater altitudes at a hypothetical observation well located in the MPW well field indicate a water-level decline of 164 feet between 2015 and 2050.</p><p>Scenario 5 is a modification of Scenario 4 with the addition of two new MPW production wells. For this scenario, the MPW network of production wells were simulated the same as in Scenario 4, but withdrawals from the two new production wells were added in 2020. Simulated 2050 groundwater altitudes for this simulation declined to – 405 feet. Simulated hydrographs for two observation wells show groundwater-level declines of 143 and 51 feet, respectively. Simulated groundwater altitudes at a hypothetical observation well located in the MPW well field declined 199 feet between 2015 and 2050.</p><p>Scenario 6 is a modification of Scenario 1, in which 140 additional quarterly stress periods were added to simulate MPW seasonal demands. Simulated groundwater altitudes for Scenario 6 declined to –353 feet during 2050. For Scenario 6, simulated hydrographs for two observation wells and the hypothetical observation well show similar groundwater-level declines as seen in Scenario 1, but with seasonal fluctuations of as much as 56 feet in the hypothetical observation well.</p><p>Water budgets for the model area immediately surrounding Mount Pleasant, South Carolina, were calculated for 2015 and for 2050. The water budget for 2015 is equal for all of the scenarios because it represents the year prior to the hypothetical pumping beginning in 2016. The largest flow component in the 2015 water budget for the Mount Pleasant area is discharge to wells at a rate of 4.17 Mgal/d. Additionally, 0.23 Mgal/d flows laterally out of the Middendorf aquifer in this area of the model due to the regional horizontal hydraulic gradient. Flow into this zone consists predominantly of lateral flow within the Middendorf aquifer at 4.08 Mgal/d. Additionally, 0.02 Mgal/d is released into this zone from aquifer storage. Vertically, 0.06 Mgal/d flows down from the Middendorf confining unit located above the Middendorf aquifer, and 0.25 Mgal/d flows up from the Cape Fear confining unit below.</p><p>The largest flow component in the 2050 water budget for all six scenarios is discharge to wells in the Mount Pleasant area at rates between 8.89 and 12.47 Mgal/d. Flow into this zone consists mostly of lateral flow between 8.47 and 11.77 Mgal/d within the Middendorf aquifer. Between 0.003 and 0.46 Mgal/d is released into this zone from aquifer storage. Between 0.004 and 0.15 Mgal/d flows laterally out of this zone into adjacent areas of the Middendorf aquifer due to the regional horizontal hydraulic gradient. Finally, between 0.15 and 0.22 Mgal/d flows vertically into this zone from confining units above and below the Middendorf aquifer.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175128","collaboration":"Prepared in cooperation with Mount Pleasant Waterworks","usgsCitation":"Fine, J.M., Petkewich, M.D., and Campbell, B.G., 2017, Simulation of groundwater flow and pumping scenarios for 1900–2050 near Mount Pleasant, South Carolina (ver. 1.1, November 6, 2017): Scientific Investigations Report 2017–5128, 36 p.,  https://doi.org/10.3133/sir20175128.","productDescription":"Report: vi, 36 p.; 3 Data Releases","numberOfPages":"46","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-088974","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":347690,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5128/coverthb2.jpg"},{"id":377650,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9FA07XD","text":"USGS data release","description":"USGS data release","linkHelpText":"2020 scenarios archive--MODFLOW-2000 data sets used in two predictive scenarios of groundwater flow and pumping (1900-2050) near Mount Pleasant, South Carolina"},{"id":347691,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5128/sir20175128.pdf","text":"Report","size":"16.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017-5128"},{"id":348296,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sir/2017/5128/versionHist.txt","size":"1.02","linkFileType":{"id":2,"text":"txt"}},{"id":348298,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7S181FC","text":"USGS data release","description":"USGS data release","linkHelpText":"Original model archive--MODFLOW-2000 model data sets used in the simulation of Groundwater Flow and Pumping Scenarios for 1900-2050 near Mount Pleasant, South Carolina"},{"id":377837,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9GZEE4E","text":"USGS data release","description":"USGS data release","linkHelpText":"2018 scenarios archive--MODFLOW-2000 and MODPATH model data sets used in scenarios of groundwater flow and pumping (1900-2500) near Mount Pleasant, South Carolina"}],"country":"United States","state":"South Carolina","city":"Mount Pleasant","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -80.892333984375,\n              31.914867503276223\n            ],\n            [\n              -79.134521484375,\n              33.18813395605041\n            ],\n            [\n              -78.5357666015625,\n              33.85673152928873\n            ],\n            [\n              -79.6783447265625,\n              34.80929324176267\n            ],\n            [\n              -80.694580078125,\n              34.82282272723702\n            ],\n            [\n              -82.2052001953125,\n              33.61919376817004\n            ],\n            [\n              -80.892333984375,\n              31.914867503276223\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","edition":"Version 1.0: Originally posted October 31, 2017; Version 1.1: November 6, 2017","contact":"<p><a href=\"mailto:dc_sc@usgs.gov\" data-mce-href=\"mailto:dc_sc@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/water/southatlantic\" data-mce-href=\"https://www.usgs.gov/water/southatlantic\">South Atlantic Water Science Center</a><br> U.S. Geological Survey <br> 720 Gracern Road <br> Stephenson Center, Suite 129 <br> Columbia, SC 29210</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Simulation of Groundwater Flow</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2017-10-31","revisedDate":"2017-11-06","noUsgsAuthors":false,"publicationDate":"2017-10-31","publicationStatus":"PW","scienceBaseUri":"59f98ba3e4b0531197af9f89","contributors":{"authors":[{"text":"Fine, Jason M. 0000-0002-6386-256X jmfine@usgs.gov","orcid":"https://orcid.org/0000-0002-6386-256X","contributorId":2238,"corporation":false,"usgs":true,"family":"Fine","given":"Jason","email":"jmfine@usgs.gov","middleInitial":"M.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":714976,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Petkewich, Matthew D. 0000-0002-5749-6356 mdpetkew@usgs.gov","orcid":"https://orcid.org/0000-0002-5749-6356","contributorId":982,"corporation":false,"usgs":true,"family":"Petkewich","given":"Matthew","email":"mdpetkew@usgs.gov","middleInitial":"D.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":true,"id":714977,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Campbell, Bruce G. 0000-0003-4800-6674 bcampbel@usgs.gov","orcid":"https://orcid.org/0000-0003-4800-6674","contributorId":995,"corporation":false,"usgs":true,"family":"Campbell","given":"Bruce","email":"bcampbel@usgs.gov","middleInitial":"G.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":true,"id":714978,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70194664,"text":"70194664 - 2017 - The magnitude and origin of groundwater discharge to eastern U.S. and Gulf of Mexico coastal waters","interactions":[],"lastModifiedDate":"2025-05-13T16:31:44.664965","indexId":"70194664","displayToPublicDate":"2017-10-31T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"The magnitude and origin of groundwater discharge to eastern U.S. and Gulf of Mexico coastal waters","docAbstract":"<p><span>Fresh groundwater discharge to coastal environments contributes to the physical and chemical conditions of coastal waters, but the role of coastal groundwater at regional to continental scales remains poorly defined due to diverse hydrologic conditions and the difficulty of tracking coastal groundwater flow paths through heterogeneous subsurface materials. We use three-dimensional groundwater flow models for the first time to calculate the magnitude and source areas of groundwater discharge from unconfined aquifers to coastal waterbodies along the entire eastern U.S. We find that 27.1&nbsp;km</span><sup>3</sup><span>/yr (22.8–30.5&nbsp;km</span><sup>3</sup><span>/yr) of groundwater directly enters eastern U.S. and Gulf of Mexico coastal waters. The contributing recharge areas comprised ~175,000&nbsp;km</span><sup>2</sup><span><span>&nbsp;</span>of U.S. land area, extending several kilometers inland. This result provides new information on the land area that can supply natural and anthropogenic constituents to coastal waters via groundwater discharge, thereby defining the subterranean domain potentially affecting coastal chemical budgets and ecosystem processes.</span></p>","language":"English","publisher":"AGU","doi":"10.1002/2017GL075238","usgsCitation":"Befus, K., Kroeger, K.D., Smith, C.G., and Swarzenski, P.W., 2017, The magnitude and origin of groundwater discharge to eastern U.S. and Gulf of Mexico coastal waters: Geophysical Research Letters, v. 44, no. 20, p. 10396-10406, https://doi.org/10.1002/2017GL075238.","productDescription":"11 p.","startPage":"10396","endPage":"10406","ipdsId":"IP-088608","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":469383,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2017gl075238","text":"Publisher Index Page"},{"id":349917,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Gulf of Mexico","volume":"44","issue":"20","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-28","publicationStatus":"PW","scienceBaseUri":"5a60fb23e4b06e28e9c22d2e","contributors":{"authors":[{"text":"Befus, Kevin 0000-0001-7553-4195 kbefus@usgs.gov","orcid":"https://orcid.org/0000-0001-7553-4195","contributorId":190617,"corporation":false,"usgs":true,"family":"Befus","given":"Kevin","email":"kbefus@usgs.gov","affiliations":[],"preferred":true,"id":724822,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kroeger, Kevin D. 0000-0002-4272-2349 kkroeger@usgs.gov","orcid":"https://orcid.org/0000-0002-4272-2349","contributorId":1603,"corporation":false,"usgs":true,"family":"Kroeger","given":"Kevin","email":"kkroeger@usgs.gov","middleInitial":"D.","affiliations":[{"id":41100,"text":"Coastal and Marine Hazards and Resources Program","active":true,"usgs":true}],"preferred":true,"id":724821,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Christopher G. 0000-0002-8075-4763 cgsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-8075-4763","contributorId":3410,"corporation":false,"usgs":true,"family":"Smith","given":"Christopher","email":"cgsmith@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":724824,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Swarzenski, Peter W. 0000-0003-0116-0578 pswarzen@usgs.gov","orcid":"https://orcid.org/0000-0003-0116-0578","contributorId":1070,"corporation":false,"usgs":true,"family":"Swarzenski","given":"Peter","email":"pswarzen@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":724823,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70193176,"text":"70193176 - 2017 - Hydrological responses to channelization and the formation of valley plugs and shoals","interactions":[],"lastModifiedDate":"2017-10-31T09:46:24","indexId":"70193176","displayToPublicDate":"2017-10-31T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Hydrological responses to channelization and the formation of valley plugs and shoals","docAbstract":"<p><span>Rehabilitation of floodplain systems focuses on restoring interactions between the fluvial system and floodplain, however, there is a paucity of information on the effects of valley plugs and shoals on floodplain hydrological processes. We investigated hydrologic regimes in floodplains at three valley plug sites, two shoal sites, and three unchannelized sites. Valley plug sites had altered surface and sub-surface hydrology relative to unchannelized sites, while only sub-surface hydrology was affected at shoal sites. Some of the changes were unexpected, such as reduced flood duration and flood depth in floodplains associated with valley plugs. Our results emphasize the variability associated with hydrologic processes around valley plugs and our rudimentary understanding of the effects associated with these geomorphic features. Water table levels were lower at valley plug sites compared to unchannelized sites, however, valley plug sites had a greater proportion of days when water table inundation was above mean root collar depth than both shoal and unchannelized sites as a result of lower root collar depths and higher deposition rates. This study has provided evidence that valley plugs can affect both surface and sub-surface hydrology in different ways than previously thought and illustrates the variability in hydrological responses to valley plug formation.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s13157-017-0886-4","usgsCitation":"Pierce, A.R., and King, S.L., 2017, Hydrological responses to channelization and the formation of valley plugs and shoals: Wetlands, v. 37, no. 3, p.  513-523, https://doi.org/10.1007/s13157-017-0886-4.","productDescription":"11 p.","startPage":" 513","endPage":"523","ipdsId":"IP-075866","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":347797,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-02-22","publicationStatus":"PW","scienceBaseUri":"59f98bace4b0531197af9fb3","contributors":{"authors":[{"text":"Pierce, Aaron R.","contributorId":94421,"corporation":false,"usgs":false,"family":"Pierce","given":"Aaron","email":"","middleInitial":"R.","affiliations":[{"id":33463,"text":"Nicholls State University, Thibodaux, LA","active":true,"usgs":false}],"preferred":false,"id":718178,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"King, Sammy L. 0000-0002-5364-6361 sking@usgs.gov","orcid":"https://orcid.org/0000-0002-5364-6361","contributorId":557,"corporation":false,"usgs":true,"family":"King","given":"Sammy","email":"sking@usgs.gov","middleInitial":"L.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":718125,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70195397,"text":"70195397 - 2017 - Flow and residence times of dynamic river bank storage and sinuosity-driven hyporheic exchange","interactions":[],"lastModifiedDate":"2018-02-14T10:11:16","indexId":"70195397","displayToPublicDate":"2017-10-31T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Flow and residence times of dynamic river bank storage and sinuosity-driven hyporheic exchange","docAbstract":"<p><span>Hydrologic exchange fluxes (HEFs) vary significantly along river corridors due to spatiotemporal changes in discharge and geomorphology. This variability results in the emergence of biogeochemical hot-spots and hot-moments that ultimately control solute and energy transport and ecosystem services from the local to the watershed scales. In this work, we use a reduced-order model to gain mechanistic understanding of river bank storage and sinuosity-driven hyporheic exchange induced by transient river discharge. This is the first time that a systematic analysis of both processes is presented and serves as an initial step to propose parsimonious, physics-based models for better predictions of water quality at the large watershed scale. The effects of channel sinuosity, alluvial valley slope, hydraulic conductivity, and river stage forcing intensity and duration are encapsulated in dimensionless variables that can be easily estimated or constrained. We find that the importance of perturbations in the hyporheic zone's flux, residence times, and geometry is mainly explained by two-dimensionless variables representing the ratio of the hydraulic time constant of the aquifer and the duration of the event (Γ</span><sub><i>d</i></sub><span>) and the importance of the ambient groundwater flow (<span>&nbsp;</span></span><span class=\"math-equation-construct\" data-equation-construct=\"true\"><span class=\"math-equation-image\" data-equation-image=\"true\"><img class=\"inlineGraphic\" src=\"http://binarystore.wiley.com/store/10.1002/2017WR021362/asset/equation/wrcr22904-math-0001.png?v=1&amp;s=be103418b21131f03172a44a3017f7dbb804f190\" alt=\"math formula\" data-mce-src=\"http://binarystore.wiley.com/store/10.1002/2017WR021362/asset/equation/wrcr22904-math-0001.png?v=1&amp;s=be103418b21131f03172a44a3017f7dbb804f190\"></span></span><span>). Our model additionally shows that even systems with small sensitivity, resulting in small changes in the hyporheic zone extent, are characterized by highly variable exchange fluxes and residence times. These findings highlight the importance of including dynamic changes in hyporheic zones for typical HEF models such as the transient storage model.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2017WR021362","usgsCitation":"Gomez-Velez, J., Wilson, J., Cardenas, M., and Harvey, J., 2017, Flow and residence times of dynamic river bank storage and sinuosity-driven hyporheic exchange: Water Resources Research, v. 53, no. 10, p. 8572-8595, https://doi.org/10.1002/2017WR021362.","productDescription":"24 p.","startPage":"8572","endPage":"8595","ipdsId":"IP-090318","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":469379,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2017wr021362","text":"Publisher Index Page"},{"id":351580,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"53","issue":"10","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-30","publicationStatus":"PW","scienceBaseUri":"5afee7c7e4b0da30c1bfc378","contributors":{"authors":[{"text":"Gomez-Velez, J.D.","contributorId":202440,"corporation":false,"usgs":false,"family":"Gomez-Velez","given":"J.D.","affiliations":[{"id":34868,"text":"New Mexico Institute of Mining and Technology","active":true,"usgs":false}],"preferred":false,"id":728412,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilson, J.L.","contributorId":202441,"corporation":false,"usgs":false,"family":"Wilson","given":"J.L.","email":"","affiliations":[{"id":34868,"text":"New Mexico Institute of Mining and Technology","active":true,"usgs":false}],"preferred":false,"id":728413,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cardenas, M.B.","contributorId":202442,"corporation":false,"usgs":false,"family":"Cardenas","given":"M.B.","email":"","affiliations":[{"id":36422,"text":"University of Texas","active":true,"usgs":false}],"preferred":false,"id":728414,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harvey, Judson 0000-0002-2654-9873 jwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2654-9873","contributorId":140228,"corporation":false,"usgs":true,"family":"Harvey","given":"Judson","email":"jwharvey@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":false,"id":728411,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70193233,"text":"70193233 - 2017 - Small high-definition video cameras as a tool to resight uniquely marked Interior Least Terns (Sternula antillarum athalassos)","interactions":[],"lastModifiedDate":"2017-11-01T10:55:04","indexId":"70193233","displayToPublicDate":"2017-10-31T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Small high-definition video cameras as a tool to resight uniquely marked Interior Least Terns (<i>Sternula antillarum athalassos</i>)","title":"Small high-definition video cameras as a tool to resight uniquely marked Interior Least Terns (Sternula antillarum athalassos)","docAbstract":"<p>Many bird species of conservation concern have behavioral or morphological traits that make it difficult for researchers to determine if the birds have been uniquely marked. Those traits can also increase the difficulty for researchers to decipher those markers. As a result, it is a priority for field biologists to develop time- and cost-efficient methods to resight uniquely marked individuals, especially when efforts are spread across multiple States and study areas. The Interior Least Tern (<i>Sternula antillarum athalassos</i>) is one such difficult-to-resight species; its tendency to mob perceived threats, such as observing researchers, makes resighting marked individuals difficult without physical recapture. During 2015, uniquely marked adult Interior Least Terns were resighted and identified by small, inexpensive, high-definition portable video cameras deployed for 29-min periods adjacent to nests. Interior Least Tern individuals were uniquely identified 84% (n = 277) of the time. This method also provided the ability to link individually marked adults to a specific nest, which can aid in generational studies and understanding heritability for difficult-to-resight species. Mark-recapture studies on such species may be prone to sparse encounter data that can result in imprecise or biased demographic estimates and ultimately flawed inferences. High-definition video cameras may prove to be a robust method for generating reliable demographic estimates.</p>","language":"English","publisher":"The Waterbird Society","doi":"10.1675/063.040.0211","usgsCitation":"Toy, D.L., Roche, E., and Dovichin, C.M., 2017, Small high-definition video cameras as a tool to resight uniquely marked Interior Least Terns (Sternula antillarum athalassos): Waterbirds, v. 40, no. 2, p. 180-186, https://doi.org/10.1675/063.040.0211.","productDescription":"7 p.","startPage":"180","endPage":"186","ipdsId":"IP-075931","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":347847,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nebraska, North Dakota, South Dakota","otherGeospatial":"U.S. Great Plains","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-104.045443,45.94531],[-104.041662,47.862282],[-104.048736,48.999877],[-97.229039,49.000687],[-97.239209,48.968684],[-97.210541,48.90439],[-97.198857,48.899831],[-97.197982,48.880341],[-97.175618,48.853105],[-97.180028,48.81845],[-97.157093,48.790024],[-97.136083,48.727763],[-97.098697,48.687534],[-97.108276,48.634396],[-97.125887,48.626975],[-97.138246,48.609301],[-97.16309,48.543964],[-97.148874,48.534282],[-97.139276,48.48631],[-97.144116,48.469212],[-97.134229,48.461178],[-97.142066,48.42045],[-97.135012,48.406735],[-97.145201,48.395566],[-97.147748,48.359905],[-97.131722,48.341123],[-97.127236,48.291827],[-97.117726,48.283488],[-97.141254,48.234668],[-97.134372,48.210434],[-97.146233,48.186054],[-97.142279,48.148056],[-97.123135,48.109497],[-97.10395,48.096184],[-97.104697,48.073094],[-97.072257,48.048068],[-97.071911,48.021395],[-97.054945,47.992924],[-97.061854,47.96448],[-97.051054,47.943379],[-97.017754,47.919778],[-97.023156,47.874978],[-97.005356,47.870177],[-96.992963,47.837911],[-96.981725,47.830421],[-96.976176,47.801544],[-96.939179,47.768397],[-96.910144,47.691235],[-96.887126,47.666369],[-96.879496,47.620576],[-96.855421,47.60875],[-96.852826,47.597891],[-96.855092,47.53731],[-96.866363,47.525944],[-96.851653,47.497098],[-96.862924,47.422309],[-96.841767,47.39246],[-96.852417,47.366241],[-96.835845,47.335914],[-96.841003,47.311558],[-96.832884,47.307069],[-96.843922,47.29302],[-96.8432,47.270486],[-96.833589,47.238037],[-96.8368,47.195028],[-96.822091,47.165036],[-96.831547,47.142017],[-96.817984,47.106007],[-96.824097,47.070666],[-96.818557,47.035516],[-96.833504,47.01011],[-96.822043,46.971091],[-96.802749,46.965933],[-96.791621,46.931213],[-96.785126,46.925769],[-96.763257,46.935063],[-96.759241,46.918223],[-96.776558,46.895663],[-96.769758,46.877563],[-96.781358,46.879363],[-96.779347,46.843672],[-96.799336,46.815436],[-96.779899,46.722915],[-96.798823,46.658071],[-96.772457,46.601491],[-96.746442,46.574078],[-96.737798,46.489785],[-96.714861,46.459132],[-96.718074,46.438255],[-96.682008,46.40784],[-96.667189,46.375458],[-96.646532,46.36251],[-96.645959,46.353532],[-96.631586,46.353752],[-96.601048,46.331139],[-96.599729,46.262123],[-96.592375,46.246076],[-96.59755,46.227733],[-96.584899,46.204383],[-96.580408,46.151234],[-96.557952,46.102442],[-96.556907,46.06483],[-96.57794,46.026874],[-96.561334,45.945655],[-96.583085,45.820024],[-96.629426,45.784211],[-96.662595,45.738682],[-96.832659,45.651716],[-96.856657,45.609041],[-96.76528,45.521414],[-96.732739,45.458737],[-96.692541,45.417338],[-96.617726,45.408092],[-96.521787,45.375645],[-96.489065,45.357071],[-96.454094,45.301546],[-96.453049,43.500415],[-96.598928,43.500457],[-96.580997,43.481384],[-96.60286,43.450907],[-96.594254,43.434153],[-96.570224,43.428601],[-96.573579,43.419228],[-96.537116,43.395063],[-96.525453,43.396317],[-96.521572,43.38564],[-96.533101,43.328587],[-96.530392,43.300034],[-96.553087,43.29286],[-96.580346,43.298204],[-96.577588,43.2788],[-96.58522,43.268878],[-96.553217,43.259141],[-96.55203,43.251117],[-96.571194,43.238961],[-96.568505,43.231554],[-96.512458,43.218556],[-96.476697,43.222014],[-96.466537,43.150281],[-96.450361,43.142237],[-96.436589,43.120842],[-96.460516,43.09494],[-96.458201,43.067554],[-96.518431,43.042068],[-96.49167,43.009707],[-96.516724,42.981458],[-96.500308,42.959391],[-96.516419,42.935438],[-96.541098,42.924496],[-96.538555,42.904605],[-96.526357,42.891852],[-96.540116,42.889678],[-96.537851,42.878475],[-96.549659,42.870281],[-96.544321,42.851282],[-96.552092,42.836057],[-96.558584,42.839487],[-96.563058,42.831051],[-96.579772,42.838093],[-96.577813,42.828719],[-96.595664,42.810426],[-96.595283,42.792982],[-96.632142,42.770863],[-96.632212,42.761512],[-96.619494,42.754792],[-96.638621,42.734921],[-96.626317,42.725951],[-96.629777,42.708852],[-96.575299,42.682665],[-96.578148,42.672765],[-96.569194,42.675509],[-96.556244,42.664396],[-96.559962,42.658543],[-96.537877,42.655431],[-96.516338,42.630435],[-96.529894,42.610432],[-96.509468,42.61273],[-96.49545,42.579474],[-96.486606,42.576062],[-96.497186,42.571464],[-96.498439,42.560876],[-96.476952,42.556079],[-96.479809,42.529595],[-96.490802,42.520331],[-96.473339,42.503537],[-96.474409,42.491895],[-96.409408,42.487595],[-96.386007,42.474495],[-96.380107,42.451494],[-96.387608,42.432494],[-96.411808,42.410894],[-96.409153,42.381491],[-96.417786,42.351449],[-96.375307,42.318339],[-96.365792,42.285875],[-96.331331,42.25943],[-96.322868,42.233637],[-96.35987,42.210545],[-96.348066,42.194747],[-96.347752,42.166806],[-96.305884,42.129826],[-96.2689,42.11359],[-96.267636,42.096177],[-96.279079,42.074026],[-96.271427,42.044988],[-96.225656,42.035217],[-96.223611,42.022652],[-96.241932,42.006965],[-96.236487,41.996428],[-96.194556,42.008662],[-96.183568,41.999987],[-96.192141,41.984461],[-96.18626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Dakota\",\"nation\":\"USA  \"}}]}","volume":"40","issue":"2","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59f98ba9e4b0531197af9fa4","contributors":{"authors":[{"text":"Toy, Dustin L. 0000-0001-5390-5784 dtoy@usgs.gov","orcid":"https://orcid.org/0000-0001-5390-5784","contributorId":5150,"corporation":false,"usgs":true,"family":"Toy","given":"Dustin","email":"dtoy@usgs.gov","middleInitial":"L.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":718306,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roche, Erin","contributorId":199143,"corporation":false,"usgs":false,"family":"Roche","given":"Erin","affiliations":[],"preferred":false,"id":718305,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dovichin, Colin M. 0000-0002-9325-5779 cdovichin@usgs.gov","orcid":"https://orcid.org/0000-0002-9325-5779","contributorId":4505,"corporation":false,"usgs":true,"family":"Dovichin","given":"Colin","email":"cdovichin@usgs.gov","middleInitial":"M.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":718307,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70189312,"text":"ds1061 - 2017 - Geochemistry of mercury and other constituents in subsurface sediment—Analyses from 2011 and 2012 coring campaigns, Cache Creek Settling Basin, Yolo County, California","interactions":[],"lastModifiedDate":"2017-11-01T09:57:23","indexId":"ds1061","displayToPublicDate":"2017-10-31T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"1061","title":"Geochemistry of mercury and other constituents in subsurface sediment—Analyses from 2011 and 2012 coring campaigns, Cache Creek Settling Basin, Yolo County, California","docAbstract":"<p>Cache Creek Settling Basin was constructed in 1937 to trap sediment from Cache Creek before delivery to the Yolo Bypass, a flood conveyance for the Sacramento River system that is tributary to the Sacramento–San Joaquin Delta. Sediment management options being considered by stakeholders in the Cache Creek Settling Basin include sediment excavation; however, that could expose sediments containing elevated mercury concentrations from historical mercury mining in the watershed. In cooperation with the California Department of Water Resources, the U.S. Geological Survey undertook sediment coring campaigns in 2011–12 (1) to describe lateral and vertical distributions of mercury concentrations in deposits of sediment in the Cache Creek Settling Basin and (2) to improve constraint of estimates of the rate of sediment deposition in the basin.</p><p>Sediment cores were collected in the Cache Creek Settling Basin, Yolo County, California, during October 2011 at 10 locations and during August 2012 at 5 other locations. Total core depths ranged from approximately 4.6 to 13.7 meters (15 to 45 feet), with penetration to about 9.1 meters (30 feet) at most locations. Unsplit cores were logged for two geophysical parameters (gamma bulk density and magnetic susceptibility); then, selected cores were split lengthwise. One half of each core was then photographed and archived, and the other half was subsampled. Initial subsamples from the cores (20-centimeter composite samples from five predetermined depths in each profile) were analyzed for total mercury, methylmercury, total reduced sulfur, iron speciation, organic content (as the percentage of weight loss on ignition), and grain-size distribution. Detailed follow-up subsampling (3-centimeter intervals) was done at six locations along an east-west transect in the southern part of the Cache Creek Settling Basin and at one location in the northern part of the basin for analyses of total mercury; organic content; and cesium-137, which was used for dating. This report documents site characteristics; field and laboratory methods; and results of the analyses of each core section and subsample of these sediment cores, including associated quality-assurance and quality-control data.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds1061","collaboration":"Prepared in cooperation with the California Department of Water Resources","usgsCitation":"Arias, M.R., Alpers, C.N., Marvin-DiPasquale, M.C., Fuller, C.C., Agee, J.L., Sneed, Michelle, Morita, A.Y., and Salas, A.J., 2017, Geochemistry of mercury and other constituents in subsurface sediment—Analyses from 2011 and 2012 coring campaigns, Cache Creek Settling Basin, Yolo County, California: U.S. Geological Survey Data Series 1061, 150 p., https://doi.org/10.3133/ds1061.","productDescription":"vi, 150 p.","numberOfPages":"160","onlineOnly":"Y","ipdsId":"IP-066188","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":347824,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/1061/coverthb.jpg"},{"id":347825,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/1061/ds1061.pdf","text":"Report","size":"56.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DS 1061"}],"country":"United States","state":"California","county":"Yolo County","otherGeospatial":"Cache Creek Settling Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121.7333,\n              38.65\n            ],\n            [\n              -121.65,\n              38.65\n            ],\n            [\n              -121.65,\n              38.7333\n            ],\n            [\n              -121.7333,\n              38.7333\n            ],\n            [\n              -121.7333,\n              38.65\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_ca@usgs.gov\" data-mce-href=\"mailto:dc_ca@usgs.gov\">Director</a>, <a href=\"http://ca.water.usgs.gov\" target=\"blank\" data-mce-href=\"http://ca.water.usgs.gov\">California Water Science Center</a><br> U.S. Geological Survey<br> 6000 J Street, Placer Hall<br> Sacramento, California 95819</p><p>http://ca.water.usgs.gov</p>","tableOfContents":"<ul><li>Acknowledgments<br></li><li>Abstract<br></li><li>Introduction<br></li><li>The 2011 Deep Core Drilling Campaign<br></li><li>The 2012 Deep Core Drilling Campaign<br></li><li>Coring Methods and Equipment<br></li><li>Calculation of Core Depths<br></li><li>Determination of Land-Surface Elevations at Coring Locations<br></li><li>Sediment-Core Processing<br></li><li>Laboratory Analysis<br></li><li>Coring Results<br></li><li>Graphical Core Descriptions<br></li><li>Laboratory Analysis Results<br></li><li>Summary<br></li><li>References<br></li><li>Appendixes 1–2<br></li></ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2017-10-31","noUsgsAuthors":false,"publicationDate":"2017-10-31","publicationStatus":"PW","scienceBaseUri":"59f98bb3e4b0531197af9fdb","contributors":{"authors":[{"text":"Arias, Michelle R. 0000-0002-3467-6186 mrbeyer@usgs.gov","orcid":"https://orcid.org/0000-0002-3467-6186","contributorId":199123,"corporation":false,"usgs":true,"family":"Arias","given":"Michelle","email":"mrbeyer@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":false,"id":704096,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alpers, Charles N. 0000-0001-6945-7365 cnalpers@usgs.gov","orcid":"https://orcid.org/0000-0001-6945-7365","contributorId":411,"corporation":false,"usgs":true,"family":"Alpers","given":"Charles","email":"cnalpers@usgs.gov","middleInitial":"N.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":704097,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marvin-DiPasquale, Mark C. 0000-0002-8186-9167 mmarvin@usgs.gov","orcid":"https://orcid.org/0000-0002-8186-9167","contributorId":1485,"corporation":false,"usgs":true,"family":"Marvin-DiPasquale","given":"Mark","email":"mmarvin@usgs.gov","middleInitial":"C.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":704098,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fuller, Christopher C. 0000-0002-2354-8074 ccfuller@usgs.gov","orcid":"https://orcid.org/0000-0002-2354-8074","contributorId":1831,"corporation":false,"usgs":true,"family":"Fuller","given":"Christopher","email":"ccfuller@usgs.gov","middleInitial":"C.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":704099,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Agee, Jennifer L. 0000-0002-5964-5079 jlagee@usgs.gov","orcid":"https://orcid.org/0000-0002-5964-5079","contributorId":2586,"corporation":false,"usgs":true,"family":"Agee","given":"Jennifer","email":"jlagee@usgs.gov","middleInitial":"L.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":704100,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sneed, Michelle 0000-0002-8180-382X micsneed@usgs.gov","orcid":"https://orcid.org/0000-0002-8180-382X","contributorId":155,"corporation":false,"usgs":true,"family":"Sneed","given":"Michelle","email":"micsneed@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":704104,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Morita, Andrew Y. 0000-0002-8120-996X amorita@usgs.gov","orcid":"https://orcid.org/0000-0002-8120-996X","contributorId":1487,"corporation":false,"usgs":true,"family":"Morita","given":"Andrew","email":"amorita@usgs.gov","middleInitial":"Y.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":704103,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Salas, Antonia 0000-0002-5163-4105 asalas@usgs.gov","orcid":"https://orcid.org/0000-0002-5163-4105","contributorId":194433,"corporation":false,"usgs":true,"family":"Salas","given":"Antonia","email":"asalas@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":704105,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70193327,"text":"70193327 - 2017 - Deglacial sea level history of the East Siberian Sea and Chukchi Sea margins","interactions":[],"lastModifiedDate":"2017-10-31T15:13:15","indexId":"70193327","displayToPublicDate":"2017-10-31T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1250,"text":"Climate of the Past","active":true,"publicationSubtype":{"id":10}},"title":"Deglacial sea level history of the East Siberian Sea and Chukchi Sea margins","docAbstract":"<p><span class=\"pb_abstract\">Deglacial (12.8–10.7 ka) sea level history on the East Siberian continental shelf and upper continental slope was reconstructed using new geophysical records and sediment cores taken during Leg 2 of the 2014 SWERUS-C3 expedition. The focus of this study is two cores from Herald Canyon, piston core SWERUS-L2-4-PC1 (4-PC1) and multicore SWERUS-L2-4-MC1 (4-MC1), and a gravity core from an East Siberian Sea transect, SWERUS-L2-20-GC1 (20-GC1). Cores 4-PC1 and 20-GC were taken at 120 and 115 m of modern water depth, respectively, only a few meters above the global last glacial maximum (LGM;  ∼  24 kiloannum or ka) minimum sea level of  ∼  125–130 meters below sea level (m b.s.l.). Using calibrated radiocarbon ages mainly on molluscs for chronology and the ecology of benthic foraminifera and ostracode species to estimate paleodepths, the data reveal a dominance of river-proximal species during the early part of the Younger Dryas event (YD, Greenland Stadial GS-1) followed by a rise in river-intermediate species in the late Younger Dryas or the early Holocene (Preboreal) period. A rapid relative sea level rise beginning at roughly 11.4 to 10.8 ka ( ∼  400 cm of core depth) is indicated by a sharp faunal change and unconformity or condensed zone of sedimentation. Regional sea level at this time was about 108 m b.s.l. at the 4-PC1 site and 102 m b.s.l. at 20-GC1. Regional sea level near the end of the YD was up to 42–47 m lower than predicted by geophysical models corrected for glacio-isostatic adjustment. This discrepancy could be explained by delayed isostatic adjustment caused by a greater volume and/or geographical extent of glacial-age land ice and/or ice shelves in the western Arctic Ocean and adjacent Siberian land areas.</span></p>","language":"English","publisher":"European Geosciences Union","doi":"10.5194/cp-13-1097-2017","usgsCitation":"Cronin, T.M., O’Regan, M., Pearce, C., Gemery, L., Toomey, M., and Semiletov, I., 2017, Deglacial sea level history of the East Siberian Sea and Chukchi Sea margins: Climate of the Past, v. 13, no. 9, p. 1097-1110, https://doi.org/10.5194/cp-13-1097-2017.","productDescription":"14 p.","startPage":"1097","endPage":"1110","ipdsId":"IP-083404","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":461367,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/cp-13-1097-2017","text":"Publisher Index Page"},{"id":347913,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Russia, United States","otherGeospatial":"Chukchi Sea, East Siberian Sea","volume":"13","issue":"9","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-05","publicationStatus":"PW","scienceBaseUri":"59f98ba4e4b0531197af9f8d","contributors":{"authors":[{"text":"Cronin, Thomas M. 0000-0002-2643-0979 tcronin@usgs.gov","orcid":"https://orcid.org/0000-0002-2643-0979","contributorId":2579,"corporation":false,"usgs":true,"family":"Cronin","given":"Thomas","email":"tcronin@usgs.gov","middleInitial":"M.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":718700,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"O’Regan, Matt","contributorId":197135,"corporation":false,"usgs":false,"family":"O’Regan","given":"Matt","email":"","affiliations":[{"id":25421,"text":"Department of Geological Sciences, Stockholm University, Sweden","active":true,"usgs":false}],"preferred":false,"id":718702,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pearce, Christof","contributorId":197126,"corporation":false,"usgs":false,"family":"Pearce","given":"Christof","email":"","affiliations":[{"id":25421,"text":"Department of Geological Sciences, Stockholm University, Sweden","active":true,"usgs":false}],"preferred":false,"id":718703,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gemery, Laura 0000-0003-1966-8732 lgemery@usgs.gov","orcid":"https://orcid.org/0000-0003-1966-8732","contributorId":5402,"corporation":false,"usgs":true,"family":"Gemery","given":"Laura","email":"lgemery@usgs.gov","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":718707,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Toomey, Michael 0000-0003-0167-9273 mtoomey@usgs.gov","orcid":"https://orcid.org/0000-0003-0167-9273","contributorId":184097,"corporation":false,"usgs":true,"family":"Toomey","given":"Michael","email":"mtoomey@usgs.gov","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":718704,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Semiletov, Igor","contributorId":197134,"corporation":false,"usgs":false,"family":"Semiletov","given":"Igor","email":"","affiliations":[{"id":24563,"text":"Tomsk Polytechnic University","active":true,"usgs":false},{"id":35519,"text":"Russian Academy Sciences, Vladivostok, Russia","active":true,"usgs":false}],"preferred":false,"id":718706,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70192201,"text":"fs20173072 - 2017 - FEQinput—An editor for the full equations (FEQ) hydraulic modeling system","interactions":[],"lastModifiedDate":"2017-10-30T13:18:34","indexId":"fs20173072","displayToPublicDate":"2017-10-30T11:15:00","publicationYear":"2017","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":"2017-3072","title":"FEQinput—An editor for the full equations (FEQ) hydraulic modeling system","docAbstract":"<h1>Introduction</h1><p>The Full Equations Model (FEQ) is a computer program that solves the full, dynamic equations of motion for one-dimensional unsteady hydraulic flow in open channels and through control structures. As a result, hydrologists have used FEQ to design and operate flood-control structures, delineate inundation maps, and analyze peak-flow impacts. To aid in fighting floods, hydrologists are using the software to develop a system that uses flood-plain models to simulate real-time streamflow.</p><p>Input files for FEQ are composed of text files that contain large amounts of parameters, data, and instructions that are written in a format exclusive to FEQ. Although documentation exists that can aid in the creation and editing of these input files, new users face a steep learning curve in order to understand the specific format and language of the files.</p><p>FEQinput provides a set of tools to help a new user overcome the steep learning curve associated with creating and modifying input files for the FEQ hydraulic model and the related utility tool, Full Equations Utilities (FEQUTL).</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20173072","usgsCitation":"Ancalle, D.S., Ancalle, P.J., and Domanski, M.M., 2017, FEQinput—An editor for the full equations (FEQ) hydraulic modeling system: U.S. Geological Survey Fact Sheet 2017–3072, 4 p., https://doi.org/10.3133/fs20173072.","productDescription":"Report: 4 p.; Project Site","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-082519","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":347141,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2017/3072/fs20173072.pdf","text":"Report","size":"770 KB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2017-3072"},{"id":347345,"rank":3,"type":{"id":18,"text":"Project Site"},"url":"https://il.water.usgs.gov/proj/feq/software/feqinput/","text":"Software"},{"id":347140,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2017/3072/coverthb2.jpg"}],"contact":"<p><a href=\"mailto:dc_il@usgs.gov\" data-mce-href=\"mailto:dc_il@usgs.gov\">Director</a>,<a href=\"https://il.water.usgs.gov/\" data-mce-href=\"https://il.water.usgs.gov/\"> Illinois-Iowa Water Science Center</a><br> U.S. Geological Survey<br> 405 North Goodwin Avenue<br> Urbana, IL 61801</p>","tableOfContents":"<ul><li>Introduction</li><li>Loading Files</li><li>Navigating and Searching in Files</li><li>Editing Files</li><li>Saving Files</li><li>Running Models</li><li>Additional Information</li><li>Summary</li></ul>","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"publishedDate":"2017-10-30","noUsgsAuthors":false,"publicationDate":"2017-10-30","publicationStatus":"PW","scienceBaseUri":"59f83a27e4b063d5d309805f","contributors":{"authors":[{"text":"Ancalle, David S.","contributorId":197994,"corporation":false,"usgs":false,"family":"Ancalle","given":"David","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":714738,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ancalle, Pablo J.","contributorId":197995,"corporation":false,"usgs":false,"family":"Ancalle","given":"Pablo","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":714739,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Domanski, Marian M. 0000-0002-0468-314X mdomanski@usgs.gov","orcid":"https://orcid.org/0000-0002-0468-314X","contributorId":5035,"corporation":false,"usgs":true,"family":"Domanski","given":"Marian","email":"mdomanski@usgs.gov","middleInitial":"M.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":714737,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70191422,"text":"ofr20171131 - 2017 - Public supply and domestic water use in the United States, 2015","interactions":[{"subject":{"id":70191422,"text":"ofr20171131 - 2017 - Public supply and domestic water use in the United States, 2015","indexId":"ofr20171131","publicationYear":"2017","noYear":false,"title":"Public supply and domestic water use in the United States, 2015"},"predicate":"SUPERSEDED_BY","object":{"id":70196293,"text":"cir1441 - 2018 - Estimated use of water in the United States in 2015","indexId":"cir1441","publicationYear":"2018","noYear":false,"title":"Estimated use of water in the United States in 2015"},"id":1}],"supersededBy":{"id":70196293,"text":"cir1441 - 2018 - Estimated use of water in the United States in 2015","indexId":"cir1441","publicationYear":"2018","noYear":false,"title":"Estimated use of water in the United States in 2015"},"lastModifiedDate":"2018-06-19T11:25:51","indexId":"ofr20171131","displayToPublicDate":"2017-10-30T08:45:00","publicationYear":"2017","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":"2017-1131","title":"Public supply and domestic water use in the United States, 2015","docAbstract":"<h1>Introduction</h1><p>The U.S. Geological Survey (USGS) National Water Use Science Project (NWUSP), part of the USGS Water Availability and Use Science Program (WAUSP), has estimated water use in the United States every 5 years since 1950. This report provides an overview of total population, public-supply use, including the population that is served by public-supply systems and the domestic deliveries to those users, and self-supplied domestic water use in the United States for 2015, continuing the task of estimating water use in the United States every 5 years. In this report, estimates for the United States include the 50 States, the District of Columbia, Puerto Rico, and the U.S. Virgin Islands (hereafter referred to as “states” for brevity).</p><p>County-level data for total population, public-supply withdrawals and the population served by public-supply systems, and domestic withdrawals for 2015 were published in a data release in an effort to provide data to the public in a timely manner. Data in the current version (1.0) of Dieter and others (2017) contains county-level total withdrawals from groundwater and surface-water sources (both fresh and saline) for public-water supply, the deliveries from those suppliers to domestic users, and the quantities of water from groundwater and surface-water sources for self-supplied domestic users, and total population. Methods used to estimate the various data elements for the public-supply and domestic use categories at the county level are described by Bradley (2017).</p><p>This Open-File Report is an interim report summarizing the data published in Dieter and others (2017) at the state and national level. This report includes discussions on the total population, totals for public-supply withdrawals and population served, total domestic withdrawals, and provides comparisons of the 2015 estimates to 2010 estimates (Maupin and others, 2014). Total domestic water use, as described in this report, represents the summation of deliveries from public-water supply to domestic users plus self-supplied domestic withdrawals.</p><p>Values for 2010 are the best available data for 2010 from the USGS Aggregate Water-Use Data System (AWUDS). The 2010 values presented in this report may have been revised from 2010 values published in Maupin and others (2014), and therefore values for 2010 in this report may not exactly match values in Maupin and others (2014).</p><p>Withdrawal and population values in this report are rounded to three significant figures. All values are rounded independently, so the sums of individually rounded numbers may not equal the totals. Percent change is calculated on unrounded data and is expressed as an integer. Differences between 2010 and 2015 values are calculated on unrounded data, then the differences are rounded.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171131","usgsCitation":"Dieter, C.A., and Maupin, M.A., 2017, Public supply and domestic water use in the United States, 2015: U.S. Geological Survey Open-File Report <br>2017–1131, \n6 p., https://doi.org/10.3133/ofr20171131.","productDescription":"iv, 6 p.","numberOfPages":"16","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-090867","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"links":[{"id":346938,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1131/ofr20171131.pdf","text":"Report","size":"1.39 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1131"},{"id":346978,"rank":3,"type":{"id":30,"text":"Data 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States\"}}]}","contact":"<p><a href=\"dc_md@usgs.gov\" data-mce-href=\"dc_md@usgs.gov\">Director</a>, <a href=\"http://md.water.usgs.gov/\" data-mce-href=\"http://md.water.usgs.gov/\">MD-DE-DC Water Science Center</a><br> U.S. Geological Survey <br> 5522 Research Park Drive <br> Baltimore, MD 21228</p>","tableOfContents":"<ul><li>Introduction</li><li>Total Population</li><li>Public-Supply Use and Population Served</li><li>Public-Supply Deliveries to Domestic Users</li><li>Self-Supplied Domestic Use</li><li>Total Domestic Use</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2017-10-30","noUsgsAuthors":false,"publicationDate":"2017-10-30","publicationStatus":"PW","scienceBaseUri":"59f83a28e4b063d5d3098069","contributors":{"authors":[{"text":"Dieter, Cheryl A. 0000-0002-5786-4091 cadieter@usgs.gov","orcid":"https://orcid.org/0000-0002-5786-4091","contributorId":2058,"corporation":false,"usgs":true,"family":"Dieter","given":"Cheryl","email":"cadieter@usgs.gov","middleInitial":"A.","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science Center","active":true,"usgs":true}],"preferred":true,"id":712199,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Maupin, Molly A. 0000-0002-2695-5505 mamaupin@usgs.gov","orcid":"https://orcid.org/0000-0002-2695-5505","contributorId":951,"corporation":false,"usgs":true,"family":"Maupin","given":"Molly","email":"mamaupin@usgs.gov","middleInitial":"A.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":712200,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70188553,"text":"fs20173046 - 2017 - StreamStats, version 4","interactions":[{"subject":{"id":86668,"text":"fs20083067 - 2008 - StreamStats: A water resources web application","indexId":"fs20083067","publicationYear":"2008","noYear":false,"displayTitle":"StreamStats: A Water Resources Web Application","title":"StreamStats: A water resources web application"},"predicate":"SUPERSEDED_BY","object":{"id":70188553,"text":"fs20173046 - 2017 - StreamStats, version 4","indexId":"fs20173046","publicationYear":"2017","noYear":false,"title":"StreamStats, version 4"},"id":1}],"lastModifiedDate":"2017-10-30T13:16:07","indexId":"fs20173046","displayToPublicDate":"2017-10-30T08:45:00","publicationYear":"2017","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":"2017-3046","title":"StreamStats, version 4","docAbstract":"<h1>Introduction</h1><p>StreamStats version 4, available at <a href=\" https://streamstats.usgs.gov\" data-mce-href=\"https://streamstats.usgs.gov\">https://streamstats.usgs.gov</a>, is a map-based web application that provides an assortment of analytical tools that are useful for water-resources planning and management, and engineering purposes. Developed by the U.S. Geological Survey (USGS), the primary purpose of StreamStats is to provide estimates of streamflow statistics for user-selected ungaged sites on streams and for USGS streamgages, which are locations where streamflow data are collected.</p><p>Streamflow statistics, such as the 1-percent flood, the mean flow, and the 7-day 10-year low flow, are used by engineers, land managers, biologists, and many others to help guide decisions in their everyday work. For example, estimates of the 1-percent flood (which is exceeded, on average, once in 100 years and has a 1-percent chance of exceedance in any year) are used to create flood-plain maps that form the basis for setting insurance rates and land-use zoning. This and other streamflow statistics also are used for dam, bridge, and culvert design; water-supply planning and management; permitting of water withdrawals and wastewater and industrial discharges; hydropower facility design and regulation; and setting of minimum allowed streamflows to protect freshwater ecosystems. Streamflow statistics can be computed from available data at USGS streamgages depending on the type of data collected at the stations. Most often, however, streamflow statistics are needed at ungaged sites, where no streamflow data are available to determine the statistics.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20173046","usgsCitation":"Ries, K.G., III, Newson J.K., Smith, M.J., Guthrie, J.D., Steeves, P.A., Haluska, T.L., Kolb, K.R., Thompson, R.F., Santoro, R.D., and Vraga, H.W., 2017, StreamStats, version 4: U.S. Geological Survey Fact 2017–3046, 4 p., https://doi.org/10.3133/fs20173046. [Supersedes USGS Fact Sheet <br>2008–3067.]","productDescription":"4 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-085220","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":347353,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2017/3046/fs20173046.pdf","text":"Report","size":"1.22","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2017-3046"},{"id":347352,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2017/3046/coverthb.jpg"}],"contact":"<p><a href=\"mailto:pmccarth@usgs.gov\" data-mce-href=\"mailto:pmccarth@usgs.gov\">StreamStats Coordinator</a><br> U.S. Geological Survey<br> 3162 Bozeman Avenue<br> Helena, MT 59601<br> <a href=\"https://water.usgs.gov/osw/streamstats/\" data-mce-href=\"https://water.usgs.gov/osw/streamstats/\">https://water.usgs.gov/osw/streamstats/</a></p>","tableOfContents":"<ul><li>Introduction</li><li>Functionality</li><li>Web Site</li><li>StreamStats User Interface</li><li>Information for Streamgages</li><li>Streamflow Statistics for Ungaged Sites</li><li>Limitations for Ungaged Site Estimates</li><li>Web Services and Batch Tool</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2017-10-30","noUsgsAuthors":false,"publicationDate":"2017-10-30","publicationStatus":"PW","scienceBaseUri":"59f83a29e4b063d5d309806e","contributors":{"authors":[{"text":"Ries, Kernell G. III 0000-0003-1690-5499 kries@usgs.gov","orcid":"https://orcid.org/0000-0003-1690-5499","contributorId":192960,"corporation":false,"usgs":true,"family":"Ries","given":"Kernell G.","suffix":"III","email":"kries@usgs.gov","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":false,"id":698315,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Newson, Jeremy K. jknewson@usgs.gov","contributorId":4159,"corporation":false,"usgs":true,"family":"Newson","given":"Jeremy","email":"jknewson@usgs.gov","middleInitial":"K.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":698316,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Martyn J. 0000-0002-1107-9653 marsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-1107-9653","contributorId":4474,"corporation":false,"usgs":true,"family":"Smith","given":"Martyn","email":"marsmith@usgs.gov","middleInitial":"J.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":698324,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Guthrie, John D. 0000-0002-8409-3325 jdguthrie@usgs.gov","orcid":"https://orcid.org/0000-0002-8409-3325","contributorId":138752,"corporation":false,"usgs":true,"family":"Guthrie","given":"John D.","email":"jdguthrie@usgs.gov","affiliations":[{"id":5047,"text":"NGTOC Denver","active":true,"usgs":true}],"preferred":false,"id":698317,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Steeves, Peter A. 0000-0001-7558-9719 psteeves@usgs.gov","orcid":"https://orcid.org/0000-0001-7558-9719","contributorId":1873,"corporation":false,"usgs":true,"family":"Steeves","given":"Peter","email":"psteeves@usgs.gov","middleInitial":"A.","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science Center","active":true,"usgs":true}],"preferred":true,"id":698318,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Haluska, Tana 0000-0001-6307-4769 thaluska@usgs.gov","orcid":"https://orcid.org/0000-0001-6307-4769","contributorId":1708,"corporation":false,"usgs":true,"family":"Haluska","given":"Tana","email":"thaluska@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":698319,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kolb, Katharine 0000-0002-1663-1662 kkolb@usgs.gov","orcid":"https://orcid.org/0000-0002-1663-1662","contributorId":5537,"corporation":false,"usgs":true,"family":"Kolb","given":"Katharine","email":"kkolb@usgs.gov","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":false,"id":698322,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Thompson, Ryan F. 0000-0002-4544-6108 rcthomps@usgs.gov","orcid":"https://orcid.org/0000-0002-4544-6108","contributorId":2702,"corporation":false,"usgs":true,"family":"Thompson","given":"Ryan","email":"rcthomps@usgs.gov","middleInitial":"F.","affiliations":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":698320,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Santoro, Richard D. 0000-0002-7003-2433 rsantoro@usgs.gov","orcid":"https://orcid.org/0000-0002-7003-2433","contributorId":192962,"corporation":false,"usgs":true,"family":"Santoro","given":"Richard","email":"rsantoro@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":false,"id":698323,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Vraga, Hans W. 0000-0003-0073-7507 hvraga@usgs.gov","orcid":"https://orcid.org/0000-0003-0073-7507","contributorId":192961,"corporation":false,"usgs":true,"family":"Vraga","given":"Hans","email":"hvraga@usgs.gov","middleInitial":"W.","affiliations":[],"preferred":false,"id":698321,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70221556,"text":"70221556 - 2017 - What determines water temperature dynamics in the San Francisco Bay-Delta system?","interactions":[],"lastModifiedDate":"2021-06-22T11:48:07.901218","indexId":"70221556","displayToPublicDate":"2017-10-30T06:43:32","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"What determines water temperature dynamics in the San Francisco Bay-Delta system?","docAbstract":"<p><span>Water temperature is an important factor determining estuarine species habitat conditions. Water temperature is mainly governed by advection (e.g., from rivers) and atmospheric exchange processes varying strongly over time (day-night, seasonally) and the spatial domain. On a long time scale, climate change will impact water temperature in estuarine systems due to changes in river flow regimes, air temperature, and sea level rise. To determine which factors govern estuarine water temperature and its sensitivity to changes in its forcing, we developed a process-based numerical model (Delft3D Flexible Mesh) and applied it to a well-monitored estuarine system (the San Francisco Estuary) for validation. The process-based approach allows for detailed process description and a physics-based analysis of governing processes. The model was calibrated for water year 2011 and incorporated 3-D hydrodynamics, salinity intrusion, water temperature dynamics, and atmospheric coupling. Results show significant skill in reproducing temperature observations on daily, seasonal, and yearly time scales. In North San Francisco Bay, thermal stratification is present, enhanced by salinity stratification. The temperature of the upstream, fresh water Delta area is captured well in 2-D mode, although locally—on a small scale—vertical processes (e.g., stratification) may be important. The impact of upstream river temperature and discharge and atmospheric forcing on water temperatures differs throughout the Delta, possibly depending on dispersion and residence times. Our modeling effort provides a sound basis for future modeling studies including climate change impact on water temperature and associated ecological modeling, e.g., clam and fish habitat and phytoplankton dynamics.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2016WR020062","usgsCitation":"Vroom, J., Van der Wegen, M., Martyr-Koller, R.C., and Lucas, L., 2017, What determines water temperature dynamics in the San Francisco Bay-Delta system?: Water Resources Research, v. 53, no. 11, p. 9901-9921, https://doi.org/10.1002/2016WR020062.","productDescription":"21 p.","startPage":"9901","endPage":"9921","ipdsId":"IP-081741","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":469384,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016wr020062","text":"Publisher Index Page"},{"id":386639,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United  States","state":"California","city":"San Francisco","otherGeospatial":"San Francisco Bay Delta","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.73925781250001,\n              37.23470197166817\n            ],\n            [\n              -121.67907714843751,\n              37.23470197166817\n            ],\n            [\n              -121.67907714843751,\n              38.302869955150044\n            ],\n            [\n              -122.73925781250001,\n              38.302869955150044\n            ],\n            [\n              -122.73925781250001,\n              37.23470197166817\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"53","issue":"11","noUsgsAuthors":false,"publicationDate":"2017-11-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Vroom, Julia 0000-0001-5354-8780","orcid":"https://orcid.org/0000-0001-5354-8780","contributorId":260502,"corporation":false,"usgs":false,"family":"Vroom","given":"Julia","email":"","affiliations":[{"id":36257,"text":"Deltares","active":true,"usgs":false}],"preferred":false,"id":818034,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Van der Wegen, Mick","contributorId":191095,"corporation":false,"usgs":false,"family":"Van der Wegen","given":"Mick","email":"","affiliations":[],"preferred":false,"id":818035,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Martyr-Koller, Rosanne C. 0000-0002-0506-667X","orcid":"https://orcid.org/0000-0002-0506-667X","contributorId":260505,"corporation":false,"usgs":false,"family":"Martyr-Koller","given":"Rosanne","email":"","middleInitial":"C.","affiliations":[{"id":13243,"text":"University of California Berkeley","active":true,"usgs":false}],"preferred":false,"id":818036,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lucas, Lisa 0000-0001-7797-5517 llucas@usgs.gov","orcid":"https://orcid.org/0000-0001-7797-5517","contributorId":260498,"corporation":false,"usgs":true,"family":"Lucas","given":"Lisa","email":"llucas@usgs.gov","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":818037,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70193051,"text":"ofr20171135 - 2017 - Near-field receiving water monitoring of trace metals and a benthic community near the Palo Alto Regional Water Quality Control Plant in south San Francisco Bay, California; 2016","interactions":[],"lastModifiedDate":"2023-04-24T21:14:41.275526","indexId":"ofr20171135","displayToPublicDate":"2017-10-30T00:00:00","publicationYear":"2017","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":"2017-1135","title":"Near-field receiving water monitoring of trace metals and a benthic community near the Palo Alto Regional Water Quality Control Plant in south San Francisco Bay, California; 2016","docAbstract":"<p class=\"p1\">Trace-metal concentrations in sediment and in the clam <i>Macoma petalum </i>(formerly reported as <i>Macoma balthica</i>), clam reproductive activity, and benthic macroinvertebrate community structure were investigated in a mudflat 1 kilometer south of the discharge of the Palo Alto Regional Water Quality Control Plant (PARWQCP) in south San Francisco Bay, Calif. This report includes the data collected by U.S. Geological Survey (USGS) scientists for the period January 2014 to December 2016. These append to long-term datasets extending back to 1974. A major focus of the report is an integrated description of the 2016 data within the context of the longer, multi-decadal dataset. This dataset supports the City of Palo Alto’s Near-Field Receiving Water Monitoring Program, initiated in 1994.</p><p class=\"p1\">Significant reductions in silver and copper concentrations in sediment and <i>M. petalum </i>occurred at the site in the 1980s following the implementation by PARWQCP of advanced wastewater treatment and source control measures. Since the 1990s, concentrations of these elements appear to have stabilized at concentrations somewhat above (silver) or near (copper) regional background concentrations Data for other metals, including chromium (Cr), mercury (Hg), nickel (Ni), selenium (Se), and zinc (Zn), have been collected since 1994. Over this period, concentrations of these elements have remained relatively constant, aside from seasonal variation that is common to all elements. In 2016, concentrations of silver and copper in <i>M. petalum </i>varied seasonally in response to a combination of site-specific metal exposures and annual growth and reproduction, as reported previously. Seasonal patterns for other elements, including Cr, Ni, Zn, Hg, and Se, were generally similar in timing and magnitude as those for Ag and Cu. This record suggests that legacy contamination and regional-scale factors now largely control sedimentary and bioavailable concentrations of silver and copper, as well as other elements of regulatory interest, at the Palo Alto site.</p><p class=\"p1\">Analyses of the benthic community structure of a mudflat in south San Francisco Bay over a 40-year period show that changes in the community have occurred concurrent with reduced concentrations of metals in the sediment and in the tissues of the biosentinel clam, <i>M. petalum</i>, from the same area. Analysis of <i>M. petalum </i>shows increases in reproductive activity concurrent with the decline in metal concentrations in the tissues of this organism. Reproductive activity is presently stable (2016), with almost all animals initiating reproduction in the fall and spawning the following spring. The entire infaunal community has shifted from being dominated by several opportunistic species to a community where the species are more similar in abundance, a pattern that indicates a more stable community that is subjected to fewer stressors. In addition, two of the opportunistic species (<i>Ampelisca abdita </i>and <i>Streblospio benedicti</i>) that brood their young and live on the surface of the sediment in tubes have shown a continual decline in dominance coincident with the decline in metals; both species had short-lived rebounds in abundance in 2008, 2009, and 2010 and showed signs of increasing abundance in 2016. <i>Heteromastus filiformis </i>(a subsurface polychaete worm that lives in the sediment, consumes sediment and organic particles residing in the sediment, and reproduces by laying its eggs on or in the sediment) showed a concurrent increase in dominance and, in the last several years before 2008, showed a stable population. <i>H. filiformis </i>abundance increased slightly in 2011–2012 and returned to pre-2011 numbers in 2016. An unidentified disturbance occurred on the mudflat in early 2008 that resulted in the loss of the benthic animals, except for deep-dwelling animals like <i>Macoma petalum</i>. However, within two months of this event animals returned to the mudflat. The resilience of the community suggested that the disturbance was not due to a persistent toxin or anoxia. The reproductive mode of most species present in 2016 is reflective of species that were available either as pelagic larvae or as mobile adults. Although oviparous species were lower in number in this group, the authors hypothesize that these species will return slowly as more species move back into the area. The use of functional ecology was highlighted in the 2016 benthic community data, which showed that the animals that have now returned to the mudflat are those that can respond successfully to a physical, nontoxic disturbance. Today, community data show a mix of species that consume the sediment, or filter feed, have pelagic larvae that must survive landing on the sediment, and those that brood their young. USGS scientists view the 2008 disturbance event as a response by the infaunal community to an episodic natural stressor (possibly sediment accretion or a pulse of freshwater), in contrast to the long-term recovery from metal contamination. We will compare this recovery to the long-term recovery observed after the 1970s when the decline in sediment pollutants was the dominating factor.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171135","collaboration":"Prepared in cooperation with the City of Palo Alto, California","usgsCitation":"Cain, D.J., Thompson, J.K., Parchaso, F., Pearson, S., Stewart, R., Turner, M., Barasch, D., and Luoma, S.N., 2017, Near-field receiving water monitoring of trace metals and a benthic community near the Palo Alto Regional Water Quality Control Plant in south San Francisco Bay, California; 2016: U.S. Geological Survey Open-File Report 2017–1135, 75 p., https://doi.org/10.3133/ofr20171135.","productDescription":"vi, 75 p.","numberOfPages":"82","onlineOnly":"Y","ipdsId":"IP-088104","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":416202,"rank":7,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/ofr20231017","text":"Open-File Report 2023-1017","linkHelpText":"- Near-Field Receiving-Water Monitoring of Trace Metals and a Benthic Community Near the Palo Alto Regional Water Quality Control Plant in South San Francisco Bay, California—2020"},{"id":416201,"rank":6,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/ofr20211079","text":"Open-File Report 2021-1079","linkHelpText":"- Near-Field Receiving-Water Monitoring of Trace Metals and a Benthic Community Near the Palo Alto Regional Water Quality Control Plant in South San Francisco Bay, California—2019"},{"id":416200,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/ofr20191084","text":"Open-File Report 2019-1084","linkHelpText":"- Near-Field Receiving-Water Monitoring of Trace Metals and a Benthic Community Near the Palo Alto Regional Water Quality Control Plant in South San Francisco Bay, California—2018"},{"id":416199,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/ofr20181107","text":"Open-File Report 2018-1107","linkHelpText":"- Near-field receiving-water monitoring of trace metals and a benthic community near the Palo Alto Regional Water Quality Control Plant in south San Francisco Bay, California—2017"},{"id":416198,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/ofr20161118","text":"Open-File Report 2016-1118","linkHelpText":"- Near-field receiving water monitoring of trace metals and a benthic community near the Palo Alto Regional Water Quality Control Plant in south San Francisco Bay, California; 2015"},{"id":347750,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1135/coverthb_.jpg"},{"id":347751,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1135/ofr.20171135.pdf","text":"Report","size":"4.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1135"}],"country":"United States","state":"California","city":"Palo Alto","otherGeospatial":"south San Francisco bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.16590881347656,\n              37.398528132728615\n            ],\n            [\n              -121.91184997558595,\n              37.398528132728615\n            ],\n            [\n              -121.91184997558595,\n              37.54566616715801\n            ],\n            [\n              -122.16590881347656,\n              37.54566616715801\n            ],\n            [\n              -122.16590881347656,\n              37.398528132728615\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>NRP staff<br> <a href=\"http://water.usgs.gov/nrp/\" target=\"blank\" data-mce-href=\"http://water.usgs.gov/nrp/\">National Research Program</a><br> U.S. Geological Survey<br> 345 Middlefield Road, MS-435<br>Menlo Park, CA 94025</p>","tableOfContents":"<ul><li>Executive Summary of Past Findings<br></li><li>Abstract<br></li><li>Introduction<br></li><li>Methods<br></li><li>Results<br></li><li>Summary<br></li><li>Acknowledgment<br></li><li>References Cited<br></li><li>Appendixes 1–9<br></li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2017-10-30","noUsgsAuthors":false,"publicationDate":"2017-10-30","publicationStatus":"PW","scienceBaseUri":"59f83a2be4b063d5d309807b","contributors":{"authors":[{"text":"Cain, Daniel J. 0000-0002-3443-0493 djcain@usgs.gov","orcid":"https://orcid.org/0000-0002-3443-0493","contributorId":1784,"corporation":false,"usgs":true,"family":"Cain","given":"Daniel","email":"djcain@usgs.gov","middleInitial":"J.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":717754,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thompson, Janet K. 0000-0002-1528-8452 jthompso@usgs.gov","orcid":"https://orcid.org/0000-0002-1528-8452","contributorId":1009,"corporation":false,"usgs":true,"family":"Thompson","given":"Janet","email":"jthompso@usgs.gov","middleInitial":"K.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":true,"id":717755,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Parchaso, Francis 0000-0002-9471-7787 parchaso@usgs.gov","orcid":"https://orcid.org/0000-0002-9471-7787","contributorId":150620,"corporation":false,"usgs":true,"family":"Parchaso","given":"Francis","email":"parchaso@usgs.gov","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":true,"id":717756,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pearson, Sarah A. spearson@usgs.gov","contributorId":152203,"corporation":false,"usgs":true,"family":"Pearson","given":"Sarah","email":"spearson@usgs.gov","middleInitial":"A.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":717952,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stewart, A. Robin 0000-0003-2918-546X arstewar@usgs.gov","orcid":"https://orcid.org/0000-0003-2918-546X","contributorId":1482,"corporation":false,"usgs":true,"family":"Stewart","given":"A.","email":"arstewar@usgs.gov","middleInitial":"Robin","affiliations":[{"id":40553,"text":"WMA - Office of the Chief Operating Officer","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":717757,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Turner, Mathew","contributorId":199031,"corporation":false,"usgs":true,"family":"Turner","given":"Mathew","email":"","affiliations":[],"preferred":false,"id":717953,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Barasch, David","contributorId":199032,"corporation":false,"usgs":true,"family":"Barasch","given":"David","affiliations":[],"preferred":false,"id":717954,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Luoma, Samuel N. 0000-0001-5443-5091 snluoma@usgs.gov","orcid":"https://orcid.org/0000-0001-5443-5091","contributorId":2287,"corporation":false,"usgs":true,"family":"Luoma","given":"Samuel","email":"snluoma@usgs.gov","middleInitial":"N.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":717955,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
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