A regression-model based approach is a commonly used, efficient method for estimating streamwater constituent load when there is a relationship between streamwater constituent concentration and continuous variables such as streamwater discharge, season and time. A subsetting experiment using a 30-year dataset of daily suspended sediment observations from the Mississippi River at Thebes, Illinois, was performed to determine optimal sampling frequency, model calibration period length, and regression model methodology, as well as to determine the effect of serial correlation of model residuals on load estimate precision. Two regression-based methods were used to estimate streamwater loads, the Adjusted Maximum Likelihood Estimator (AMLE), and the composite method, a hybrid load estimation approach. While both methods accurately and precisely estimated loads at the model’s calibration period time scale, precisions were progressively worse at shorter reporting periods, from annually to monthly. Serial correlation in model residuals resulted in observed AMLE precision to be significantly worse than the model calculated standard errors of prediction. The composite method effectively improved upon AMLE loads for shorter reporting periods, but required a sampling interval of at least 15-days or shorter, when the serial correlations in the observed load residuals were greater than 0.15. AMLE precision was better at shorter sampling intervals and when using the shortest model calibration periods, such that the regression models better fit the temporal changes in the concentration–discharge relationship. The models with the largest errors typically had poor high flow sampling coverage resulting in unrepresentative models. Increasing sampling frequency and/or targeted high flow sampling are more efficient approaches to ensure sufficient sampling and to avoid poorly performing models, than increasing calibration period length.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2013.09.001","usgsCitation":"Aulenbach, B.T., 2013, Improving regression-model-based streamwater constituent load estimates derived from serially correlated data: Journal of Hydrology, v. 503, p. 55-66, https://doi.org/10.1016/j.jhydrol.2013.09.001.","productDescription":"12 p.","startPage":"55","endPage":"66","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"1980-10-01","temporalEnd":"2010-09-30","ipdsId":"IP-050633","costCenters":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"links":[{"id":299141,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois","city":"Thebes","otherGeospatial":"Mississippi River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.46922302246094,\n 37.18609994167537\n ],\n [\n -89.46922302246094,\n 37.229303292139896\n ],\n [\n -89.44785118103027,\n 37.229303292139896\n ],\n [\n -89.44785118103027,\n 37.18609994167537\n ],\n [\n -89.46922302246094,\n 37.18609994167537\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"503","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"551a75f8e4b03238427835b0","contributors":{"authors":[{"text":"Aulenbach, Brent T. 0000-0003-2863-1288 btaulenb@usgs.gov","orcid":"https://orcid.org/0000-0003-2863-1288","contributorId":3057,"corporation":false,"usgs":true,"family":"Aulenbach","given":"Brent","email":"btaulenb@usgs.gov","middleInitial":"T.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":543628,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70048685,"text":"70048685 - 2013 - Evaluating greater sage-grouse seasonal space use relative to leks: Implications for surface use designations in sagebrush ecosystems","interactions":[],"lastModifiedDate":"2013-10-30T08:24:02","indexId":"70048685","displayToPublicDate":"2013-10-29T14:05:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating greater sage-grouse seasonal space use relative to leks: Implications for surface use designations in sagebrush ecosystems","docAbstract":"The development of anthropogenic structures, especially those related to energy resources, in sagebrush ecosystems is an important concern among developers, conservationists, and land managers in relation to greater sage-grouse (Centrocercus urophasianus; hereafter, sage-grouse) populations. Sage-grouse are dependent on sagebrush ecosystems to meet their seasonal life-phase requirements, and research indicates that anthropogenic structures can adversely affect sage-grouse populations. Land management agencies have attempted to reduce the negative effects of anthropogenic development by assigning surface use (SU) designations, such as no surface occupancy, to areas around leks (breeding grounds). However, rationale for the size of these areas is often challenged. To help inform this issue, we used a spatial analysis of sage-grouse utilization distributions (UDs) to quantify seasonal (spring, summer and fall, winter) sage-grouse space use in relation to leks. We sampled UDs from 193 sage-grouse (11,878 telemetry locations) across 4 subpopulations within the Bi-State Distinct Population Segment (DPS, bordering California and Nevada) during 2003–2009. We quantified the volume of each UD (vUD) within a range of areas that varied in size and were centered on leks, up to a distance of 30 km from leks. We also quantified the percentage of nests within those areas. We then estimated the diminishing gains of vUD as area increased and produced continuous response curves that allow for flexibility in land management decisions. We found nearly 90% of the total vUD (all seasons combined) was contained within 5 km of leks, and we identified variation in vUD for a given distance related to season and migratory status. Five kilometers also represented the 95th percentile of the distribution of nesting distances. Because diminishing gains of vUD was not substantial until distances exceeded 8 km, managers should consider the theoretical optimal distances for SU designation between 5.0 km and 7.5 km, depending on migratory status. Although these results represent space use for sage-grouse within the Bi-State DPS, our results likely have broad relevance to other areas with similar landscape characteristics and patterns of space use.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Wildlife Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/jwmg.618","usgsCitation":"Casazza, M.L., and Coates, P.S., 2013, Evaluating greater sage-grouse seasonal space use relative to leks: Implications for surface use designations in sagebrush ecosystems: Journal of Wildlife Management, v. 77, no. 8, p. 1598-1609, https://doi.org/10.1002/jwmg.618.","productDescription":"12 p.","startPage":"1598","endPage":"1609","numberOfPages":"12","ipdsId":"IP-042745","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":278554,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278548,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jwmg.618"}],"volume":"77","issue":"8","noUsgsAuthors":false,"publicationDate":"2013-10-08","publicationStatus":"PW","scienceBaseUri":"5270cafbe4b0f7a10664c776","contributors":{"authors":[{"text":"Casazza, Michael L. 0000-0002-5636-735X mike_casazza@usgs.gov","orcid":"https://orcid.org/0000-0002-5636-735X","contributorId":2091,"corporation":false,"usgs":true,"family":"Casazza","given":"Michael","email":"mike_casazza@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":485426,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coates, Peter S. 0000-0003-2672-9994 pcoates@usgs.gov","orcid":"https://orcid.org/0000-0003-2672-9994","contributorId":3263,"corporation":false,"usgs":true,"family":"Coates","given":"Peter","email":"pcoates@usgs.gov","middleInitial":"S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":485427,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70048684,"text":"70048684 - 2013 - Is reduced benthic flux related to the Diporeia decline? Analysis of spring blooms and whiting events in Lake Ontario","interactions":[],"lastModifiedDate":"2013-10-29T14:02:15","indexId":"70048684","displayToPublicDate":"2013-10-29T13:48:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Is reduced benthic flux related to the Diporeia decline? Analysis of spring blooms and whiting events in Lake Ontario","docAbstract":"Benthic monitoring by USGS off the southern shore of Lake Ontario from October 1993 to October 1995 provides a detailed view of the early stages of the decline of the native amphipod Diporeia. A loss of the 1994 and 1995 year classes of Diporeia preceded the disappearance of the native amphipod at sites near Oswego and Rochester at depths from 55 to 130 m. In succeeding years, Diporeia populations continued to decline in Lake Ontario and were nearly extirpated by 2008. Explanations for Diporeia 's decline in the Great Lakes include several hypotheses often linked to the introduction and expansion of exotic zebra and quagga mussels (Dreissena sp.). We compare the timeline of the Diporeia decline in Lake Ontario with trends in two sources of organic matter to the sediments — spring diatom blooms and late summer whiting events. The 1994–95 decline of Diporeia coincided with localized dreissenid effects on phytoplankton in the nearshore and a year (April 1994 to May 1995) of decreased flux of organic carbon recorded by sediment traps moored offshore of Oswego. Later declines of profundal (> 90 m) Diporeia populations in 2003 were poorly associated with trends in spring algal blooms and late summer whiting events. \nLake Ontario/Diporeia/Dreissena/remote sensing.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Great Lakes Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2013.05.007","usgsCitation":"Watkins, J., Rudstam, L.G., Crabtree, D.L., and Walsh, M., 2013, Is reduced benthic flux related to the Diporeia decline? Analysis of spring blooms and whiting events in Lake Ontario: Journal of Great Lakes Research, v. 39, no. 3, p. 395-403, https://doi.org/10.1016/j.jglr.2013.05.007.","productDescription":"9 p.","startPage":"395","endPage":"403","ipdsId":"IP-046007","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":278550,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278547,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jglr.2013.05.007"}],"otherGeospatial":"Lake Ontario","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -79.8046,43.2024 ], [ -79.8046,44.2072 ], [ -76.0471,44.2072 ], [ -76.0471,43.2024 ], [ -79.8046,43.2024 ] ] ] } } ] }","volume":"39","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5270cafde4b0f7a10664c78e","contributors":{"authors":[{"text":"Watkins, James M.","contributorId":97410,"corporation":false,"usgs":true,"family":"Watkins","given":"James M.","affiliations":[],"preferred":false,"id":485425,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rudstam, Lars G.","contributorId":56609,"corporation":false,"usgs":false,"family":"Rudstam","given":"Lars","email":"","middleInitial":"G.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":485423,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crabtree, Darran L.","contributorId":90628,"corporation":false,"usgs":true,"family":"Crabtree","given":"Darran","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":485424,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walsh, Maureen 0000-0001-7846-5025 mwalsh@usgs.gov","orcid":"https://orcid.org/0000-0001-7846-5025","contributorId":3659,"corporation":false,"usgs":true,"family":"Walsh","given":"Maureen","email":"mwalsh@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":485422,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70048683,"text":"70048683 - 2013 - Gastric evacuation rate, index of fullness, and daily ration of Lake Michigan slimy sculpin (Cottus cognatus) and deepwater sculpin (Myoxocephalus thompsonii)","interactions":[],"lastModifiedDate":"2013-10-30T08:24:53","indexId":"70048683","displayToPublicDate":"2013-10-29T13:20:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Gastric evacuation rate, index of fullness, and daily ration of Lake Michigan slimy sculpin (Cottus cognatus) and deepwater sculpin (Myoxocephalus thompsonii)","docAbstract":"Accurate estimates of fish consumption are required to understand trophic interactions and facilitate ecosystem-based fishery management. Despite their importance within the food-web, no method currently exists to estimate daily consumption for Great Lakes slimy (Cottus cognatus) and deepwater sculpin (Myoxocephalus thompsonii). We conducted experiments to estimate gastric evacuation (GEVAC) and collected field data from Lake Michigan to estimate index of fullness [(g prey/g fish weight)100%) to determine daily ration for water temperatures ranging 2–5 °C, coinciding with the winter and early spring season. Exponential GEVAC rates equaled 0.0115/h for slimy sculpin and 0.0147/h for deepwater sculpin, and did not vary between 2.7 °C and 5.1 °C for either species or between prey types (Mysis relicta and fish eggs) for slimy sculpin. Index of fullness varied with fish size, and averaged 1.93% and 1.85% for slimy and deepwater sculpins, respectively. Maximum index of fullness was generally higher (except for the smallest sizes) for both species in 2009–2010 than in 1976 despite reductions in a primary prey, Diporeia spp. Predictive daily ration equations were derived as a function of fish dry weight. Estimates of daily consumption ranged from 0.2 to 0.8% of their body weight, which was within the low range of estimates from other species at comparably low water temperatures. These results provide a tool to estimate the consumptive demand of sculpins which will improve our understanding of benthic offshore food webs and aid in management and restoration of these native species in the Great Lakes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Great Lakes Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2013.03.007","usgsCitation":"Mychek-Londer, J., and Bunnell, D., 2013, Gastric evacuation rate, index of fullness, and daily ration of Lake Michigan slimy sculpin (Cottus cognatus) and deepwater sculpin (Myoxocephalus thompsonii): Journal of Great Lakes Research, v. 39, no. 2, p. 327-335, https://doi.org/10.1016/j.jglr.2013.03.007.","productDescription":"p. 9","startPage":"327","endPage":"335","additionalOnlineFiles":"N","ipdsId":"IP-044732","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":278544,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278540,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jglr.2013.03.007"}],"otherGeospatial":"Lake Michigan","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -88.0489,41.6199 ], [ -88.0489,46.1022 ], [ -84.756,46.1022 ], [ -84.756,41.6199 ], [ -88.0489,41.6199 ] ] ] } } ] }","volume":"39","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5270cafbe4b0f7a10664c77c","contributors":{"authors":[{"text":"Mychek-Londer, Justin G.","contributorId":64138,"corporation":false,"usgs":true,"family":"Mychek-Londer","given":"Justin G.","affiliations":[],"preferred":false,"id":485421,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bunnell, David B. 0000-0003-3521-7747 dbunnell@usgs.gov","orcid":"https://orcid.org/0000-0003-3521-7747","contributorId":3139,"corporation":false,"usgs":true,"family":"Bunnell","given":"David B.","email":"dbunnell@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":485420,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70048681,"text":"70048681 - 2013 - Development of a stock-recruitment model and assessment of biological reference points for the Lake Erie walleye fishery","interactions":[],"lastModifiedDate":"2013-10-30T08:27:10","indexId":"70048681","displayToPublicDate":"2013-10-29T13:14:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Development of a stock-recruitment model and assessment of biological reference points for the Lake Erie walleye fishery","docAbstract":"We developed an updated stock–recruitment relationship for Lake Erie Walleye Sander vitreus using the Akaike information criterion model selection approach. Our best stock–recruitment relationship was a Ricker spawner–recruit function to which spring warming rate was added as an environmental variable, and this regression model explained 39% of the variability in Walleye recruitment over the 1978 through 2006 year-classes. Thus, most of the variability in Lake Erie Walleye recruitment appeared to be attributable to factors other than spawning stock size and spring warming rate. The abundance of age-0 Gizzard Shad Dorosoma cepedianum, which was an important term in previous models, may still be an important factor for Walleye recruitment, but poorer ability to monitor Gizzard Shad since the late 1990s could have led to that term failing to appear in our best model. Secondly, we used numerical simulation to demonstrate how to use the stock recruitment relationship to characterize the population dynamics (such as stable age structure, carrying capacity, and maximum sustainable yield) and some biological reference points (such as fishing rates at different important biomass or harvest levels) for an age-structured population in a deterministic way.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"North American Journal of Fisheries Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"U.S. Geological Survey","doi":"10.1080/02755947.2013.822442","usgsCitation":"Zhao, Y., Kocovsky, P.M., and Madenjian, C.P., 2013, Development of a stock-recruitment model and assessment of biological reference points for the Lake Erie walleye fishery: North American Journal of Fisheries Management, v. 33, no. 5, p. 956-964, https://doi.org/10.1080/02755947.2013.822442.","productDescription":"9 p.","startPage":"956","endPage":"964","numberOfPages":"9","ipdsId":"IP-045130","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":473472,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/02755947.2013.822442","text":"Publisher Index Page"},{"id":278538,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/02755947.2013.822442"},{"id":278539,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"33","issue":"5","noUsgsAuthors":false,"publicationDate":"2013-09-23","publicationStatus":"PW","scienceBaseUri":"5270cafae4b0f7a10664c76a","contributors":{"authors":[{"text":"Zhao, Yingming","contributorId":49752,"corporation":false,"usgs":true,"family":"Zhao","given":"Yingming","affiliations":[],"preferred":false,"id":485412,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kocovsky, Patrick M. 0000-0003-4325-4265 pkocovsky@usgs.gov","orcid":"https://orcid.org/0000-0003-4325-4265","contributorId":3429,"corporation":false,"usgs":true,"family":"Kocovsky","given":"Patrick","email":"pkocovsky@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":251,"text":"Ecosystems Mission Area","active":false,"usgs":true}],"preferred":true,"id":485411,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Madenjian, Charles P. 0000-0002-0326-164X cmadenjian@usgs.gov","orcid":"https://orcid.org/0000-0002-0326-164X","contributorId":2200,"corporation":false,"usgs":true,"family":"Madenjian","given":"Charles","email":"cmadenjian@usgs.gov","middleInitial":"P.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":485410,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70048675,"text":"70048675 - 2013 - Spatial distribution of pelagic fish larvae in the northern main basin of Lake Huron","interactions":[],"lastModifiedDate":"2017-10-20T11:09:02","indexId":"70048675","displayToPublicDate":"2013-10-29T12:58:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":865,"text":"Aquatic Ecosystem Health & Management","active":true,"publicationSubtype":{"id":10}},"title":"Spatial distribution of pelagic fish larvae in the northern main basin of Lake Huron","docAbstract":"Larval fish occurrence in inshore and offshore zones in the northern main basin of Lake Huron was assessed during 2007 as part of a larger ecological examination of Lake Huron foodwebs and habitats. Day and night collections using neuston and conical nets at inshore (1.5–15 m depths) and offshore (37 and 91 m depths) locations at De Tour and Hammond Bay to assess the abundance, phenology, and spatial distribution of pelagic ichthyoplankton during spring and early summer were made. In general, densities of larval fishes were higher at De Tour than Hammond Bay during daytime neuston net collections, with the exception of Longnose Sucker, which were only collected at Hammond Bay. Lake Whitefish, Burbot, and Rainbow Smelt dominated inshore catches in early spring with Cisco, Deepwater Sculpin, Emerald Shiner, Bloater, Slimy Sculpin, Ninespine Stickleback, and Yellow Perch larvae also collected.
Nighttime nearshore and offshore sampling revealed that Rainbow Smelt and Burbot larvae were present in relatively high abundances compared to inshore densities. Concentrations of larvae of deepwater demersal fishes such as Lake Whitefish and Deepwater Sculpin suggest that inshore zones in northern Lake Huron are important nursery habitats emphasizing a critical production and recruitment linkage between inshore and deepwater zones.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/14634988.2013.824348","usgsCitation":"Roseman, E., and O’Brien, T.P., 2013, Spatial distribution of pelagic fish larvae in the northern main basin of Lake Huron: Aquatic Ecosystem Health & Management, v. 16, no. 3, p. 311-321, https://doi.org/10.1080/14634988.2013.824348.","productDescription":"11 p.","startPage":"311","endPage":"321","ipdsId":"IP-044491","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":278533,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Lake Huron","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.715576171875,\n 46.03510927947334\n ],\n [\n -84.803466796875,\n 45.706179285330855\n ],\n [\n -84.57275390625,\n 45.583289756006316\n ],\n [\n -84.111328125,\n 45.42158812329091\n ],\n [\n -83.660888671875,\n 45.29034662473613\n ],\n [\n -83.583984375,\n 45.089035564831036\n ],\n [\n -83.485107421875,\n 44.86365630540611\n ],\n [\n -83.441162109375,\n 44.48866833139464\n ],\n [\n -83.69384765625,\n 44.20583500104184\n ],\n [\n -83.990478515625,\n 43.97700467496408\n ],\n [\n -84.05639648437499,\n 43.74728909225908\n ],\n [\n -83.95751953125,\n 43.60426186809618\n ],\n [\n -83.583984375,\n 43.57243174740972\n ],\n [\n -83.265380859375,\n 43.77902662160831\n ],\n [\n -83.023681640625,\n 43.95328204198018\n ],\n [\n -82.85888671875,\n 43.97700467496408\n ],\n [\n -82.716064453125,\n 43.5326204268101\n ],\n [\n -82.694091796875,\n 43.06086137134326\n ],\n [\n -82.46337890625,\n 42.90816007196054\n ],\n [\n -82.056884765625,\n 42.956422511073335\n ],\n [\n -81.617431640625,\n 43.23719944365308\n ],\n [\n -81.441650390625,\n 43.628123412124616\n ],\n [\n -81.595458984375,\n 43.929549935614595\n ],\n [\n -81.463623046875,\n 44.23732831822538\n ],\n [\n -81.2109375,\n 44.6061127451739\n ],\n [\n -81.40869140625,\n 45.00365115687186\n ],\n [\n -81.03515625,\n 44.61393394730626\n ],\n [\n -80.343017578125,\n 44.36313311380771\n ],\n [\n -79.881591796875,\n 44.378839759088585\n ],\n [\n -79.65087890624999,\n 44.78573392716592\n ],\n [\n -80.167236328125,\n 45.48324350868221\n ],\n [\n -80.595703125,\n 46.01985337287631\n ],\n [\n -81.287841796875,\n 46.11132565729796\n ],\n [\n -82.891845703125,\n 46.34692761055676\n ],\n [\n -83.858642578125,\n 46.39998810407942\n ],\n [\n -84.715576171875,\n 46.03510927947334\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"16","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5270caffe4b0f7a10664c7a3","contributors":{"authors":[{"text":"Roseman, Edward F.","contributorId":100334,"corporation":false,"usgs":true,"family":"Roseman","given":"Edward F.","affiliations":[],"preferred":false,"id":485387,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"O’Brien, Timothy P. 0000-0003-4502-5204 tiobrien@usgs.gov","orcid":"https://orcid.org/0000-0003-4502-5204","contributorId":2662,"corporation":false,"usgs":true,"family":"O’Brien","given":"Timothy","email":"tiobrien@usgs.gov","middleInitial":"P.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":485386,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70048674,"text":"70048674 - 2013 - Habitat use of American eel (Anguilla rostrata) in a tributary of the Hudson River, New York","interactions":[],"lastModifiedDate":"2013-10-29T12:40:15","indexId":"70048674","displayToPublicDate":"2013-10-29T12:34:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2166,"text":"Journal of Applied Ichthyology","active":true,"publicationSubtype":{"id":10}},"title":"Habitat use of American eel (Anguilla rostrata) in a tributary of the Hudson River, New York","docAbstract":"American eel Anguilla rostrata populations are declining over much of their native range. Since American eels spend extended periods in freshwater, understanding their habitat requirements while freshwater residents is important for the management and conservation of this species. As there is little information on American eel habitat use in streams, the ontogenetic, diel, and seasonal habitat use as well as habitat selectivity of three size groups (i.e. ≤199 mm total length, 200–399 mm, ≥400 mm) of eel were examined in a tributary of the Hudson River. American eels in Hannacroix Creek exhibited ontogenetic, diel, and seasonal variation in habitat use as well as habitat selection. During both summer and autumn all sizes of American eels used larger substrate and more cover during the day. American eels ≤199 mm exhibited the strongest habitat selection, whereas eels 200–399 mm exhibited the least. During the autumn all sizes of American eels occupied slower depositional areas where deciduous leaf litter accumulated and provided cover. This may have important implications for in-stream and riparian habitat management of lotic systems used by American eel.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Applied Ichthyology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/jai.12253","usgsCitation":"Johnson, J.H., and Nack, C.C., 2013, Habitat use of American eel (Anguilla rostrata) in a tributary of the Hudson River, New York: Journal of Applied Ichthyology, v. 29, no. 5, p. 1073-1079, https://doi.org/10.1111/jai.12253.","productDescription":"7 p.","startPage":"1073","endPage":"1079","numberOfPages":"7","ipdsId":"IP-045583","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":278530,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278529,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/jai.12253"}],"country":"United States","state":"New York","otherGeospatial":"Hannacroix Creek","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -73.931515,42.439076 ], [ -73.931515,42.475533 ], [ -73.787124,42.475533 ], [ -73.787124,42.439076 ], [ -73.931515,42.439076 ] ] ] } } ] }","volume":"29","issue":"5","noUsgsAuthors":false,"publicationDate":"2013-06-22","publicationStatus":"PW","scienceBaseUri":"5270cafce4b0f7a10664c782","contributors":{"authors":[{"text":"Johnson, James H. 0000-0002-5619-3871 jhjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-5619-3871","contributorId":389,"corporation":false,"usgs":true,"family":"Johnson","given":"James","email":"jhjohnson@usgs.gov","middleInitial":"H.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":485384,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nack, Christopher C.","contributorId":66137,"corporation":false,"usgs":true,"family":"Nack","given":"Christopher","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":485385,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70048676,"text":"70048676 - 2013 - A synthesized mating pheromone component increases adult sea lamprey (Petromyzon marinus) trap capture in management scenarios","interactions":[],"lastModifiedDate":"2013-10-30T10:19:37","indexId":"70048676","displayToPublicDate":"2013-10-29T12:07:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"A synthesized mating pheromone component increases adult sea lamprey (Petromyzon marinus) trap capture in management scenarios","docAbstract":"Application of chemical cues to manipulate adult sea lamprey (Petromyzon marinus) behavior is among the options considered for new sea lamprey control techniques in the Laurentian Great Lakes. A male mating pheromone component, 7a,12a,24-trihydroxy-3-one-5a-cholan-24-sulfate (3kPZS), lures ovulated female sea lamprey upstream into baited traps in experimental contexts with no odorant competition. A critical knowledge gap is whether this single pheromone component influences adult sea lamprey behavior in management contexts containing free-ranging sea lampreys. A solution of 3kPZS to reach a final in-stream concentration of 10-12 mol·L-1 was applied to eight Michigan streams at existing sea lamprey traps over 3 years, and catch rates were compared between paired 3kPZS-baited and unbaited traps. 3kPZS-baited traps captured significantly more sexually immature and mature sea lampreys, and overall yearly trapping efficiency within a stream averaged 10% higher during years when 3kPZS was applied. Video analysis of a trap funnel showed that the likelihood of sea lamprey trap entry after trap encounter was higher when the trap was 3kPZS baited. Our approach serves as a model for the development of similar control tools for sea lamprey and other aquatic invaders.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Canadian Journal of Fisheries and Aquatic Sciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"NRC Research Press","doi":"10.1139/cjfas-2013-0080","usgsCitation":"Johnson, N.S., Siefkes, M.J., Wagner, C., Dawson, H., Wang, H., Steeves, T., Twohey, M., and Li, W., 2013, A synthesized mating pheromone component increases adult sea lamprey (Petromyzon marinus) trap capture in management scenarios: Canadian Journal of Fisheries and Aquatic Sciences, v. 70, no. 7, p. 1101-1108, https://doi.org/10.1139/cjfas-2013-0080.","productDescription":"8 p.","startPage":"1101","endPage":"1108","numberOfPages":"8","ipdsId":"IP-045309","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":278528,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278527,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1139/cjfas-2013-0080"}],"country":"United States","otherGeospatial":"Great Lakes","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.11,41.4 ], [ -92.11,48.85 ], [ -76.3,48.85 ], [ -76.3,41.4 ], [ -92.11,41.4 ] ] ] } } ] }","volume":"70","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5270cad1e4b0f7a10664c692","contributors":{"authors":[{"text":"Johnson, Nicholas S. 0000-0002-7419-6013 njohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7419-6013","contributorId":597,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas","email":"njohnson@usgs.gov","middleInitial":"S.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":485388,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Siefkes, Michael J.","contributorId":36905,"corporation":false,"usgs":true,"family":"Siefkes","given":"Michael","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":485389,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wagner, C. Michael","contributorId":83019,"corporation":false,"usgs":true,"family":"Wagner","given":"C. Michael","affiliations":[],"preferred":false,"id":485394,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dawson, Heather","contributorId":96577,"corporation":false,"usgs":true,"family":"Dawson","given":"Heather","affiliations":[{"id":27267,"text":"University of Michigan-Flint","active":true,"usgs":false}],"preferred":false,"id":485395,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wang, Huiyong","contributorId":79007,"corporation":false,"usgs":true,"family":"Wang","given":"Huiyong","affiliations":[],"preferred":false,"id":485392,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Steeves, Todd","contributorId":59337,"corporation":false,"usgs":true,"family":"Steeves","given":"Todd","affiliations":[],"preferred":false,"id":485390,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Twohey, Michael","contributorId":80170,"corporation":false,"usgs":true,"family":"Twohey","given":"Michael","affiliations":[],"preferred":false,"id":485393,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Li, Weiming","contributorId":65440,"corporation":false,"usgs":true,"family":"Li","given":"Weiming","affiliations":[],"preferred":false,"id":485391,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70047386,"text":"70047386 - 2013 - Moving across the border: Modeling migratory bat populations","interactions":[],"lastModifiedDate":"2017-02-13T14:30:27","indexId":"70047386","displayToPublicDate":"2013-10-29T11:04:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Moving across the border: Modeling migratory bat populations","docAbstract":"The migration of animals across long distances and between multiple habitats presents a major challenge for conservation. For the migratory Mexican free-tailed bat (Tadarida brasiliensis mexicana), these challenges include identifying and protecting migratory routes and critical roosts in two countries, the United States and Mexico. Knowledge and conservation of bat migratory routes is critical in the face of increasing threats from climate change and wind turbines that might decrease migratory survival. We employ a new modeling approach for bat migration, network modeling, to simulate migratory routes between winter habitat in southern Mexico and summer breeding habitat in northern Mexico and the southwestern United States. We use the model to identify key migratory routes and the roosts of greatest conservation value to the overall population. We measure roost importance by the degree to which the overall bat population declined when the roost was removed from the model. The major migratory routes—those with the greatest number of migrants—were between winter habitat in southern Mexico and summer breeding roosts in Texas and the northern Mexican states of Sonora and Nuevo Leon. The summer breeding roosts in Texas, Sonora, and Nuevo Leon were the most important for maintaining population numbers and network structure – these are also the largest roosts. This modeling approach contributes to conservation efforts by identifying the most influential areas for bat populations, and can be used as a tool to improve our understanding of bat migration for other species. We anticipate this approach will help direct coordination of habitat protection across borders.","largerWorkTitle":"Ecosphere","language":"English","publisher":"Ecological Society of America","doi":"10.1890/ES13-00023.1","usgsCitation":"Ruscena, W., López-Hoffman, L., Cline, J., Medellin, R., Cryan, P.M., Russell, A., McCracken, G., Diffendorfer, J., and Semmens, D.J., 2013, Moving across the border: Modeling migratory bat populations: Ecosphere, v. 4, no. 9, 16 p., https://doi.org/10.1890/ES13-00023.1.","productDescription":"16 p.","ipdsId":"IP-049561","costCenters":[{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":487218,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/es13-00023.1","text":"Publisher Index Page"},{"id":278523,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278515,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/ES13-00023.1"}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.36,15.48 ], [ -121.36,39.5 ], [ -91.19,39.5 ], [ -91.19,15.48 ], [ -121.36,15.48 ] ] ] } } ] }","volume":"4","issue":"9","noUsgsAuthors":false,"publicationDate":"2013-09-27","publicationStatus":"PW","scienceBaseUri":"5270cafde4b0f7a10664c799","contributors":{"authors":[{"text":"Ruscena, Wiederholt","contributorId":16309,"corporation":false,"usgs":true,"family":"Ruscena","given":"Wiederholt","email":"","affiliations":[],"preferred":false,"id":481907,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"López-Hoffman, Laura","contributorId":77397,"corporation":false,"usgs":true,"family":"López-Hoffman","given":"Laura","affiliations":[],"preferred":false,"id":481911,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cline, Jon","contributorId":78233,"corporation":false,"usgs":true,"family":"Cline","given":"Jon","email":"","affiliations":[],"preferred":false,"id":481912,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Medellin, Rodrigo","contributorId":66585,"corporation":false,"usgs":true,"family":"Medellin","given":"Rodrigo","affiliations":[],"preferred":false,"id":481910,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cryan, Paul M. 0000-0002-2915-8894 cryanp@usgs.gov","orcid":"https://orcid.org/0000-0002-2915-8894","contributorId":2356,"corporation":false,"usgs":true,"family":"Cryan","given":"Paul","email":"cryanp@usgs.gov","middleInitial":"M.","affiliations":[{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":481905,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Russell, Amy","contributorId":38884,"corporation":false,"usgs":true,"family":"Russell","given":"Amy","affiliations":[],"preferred":false,"id":481908,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McCracken, Gary","contributorId":38885,"corporation":false,"usgs":true,"family":"McCracken","given":"Gary","affiliations":[],"preferred":false,"id":481909,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Diffendorfer, Jay 0000-0003-1093-6948","orcid":"https://orcid.org/0000-0003-1093-6948","contributorId":11930,"corporation":false,"usgs":true,"family":"Diffendorfer","given":"Jay","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":481906,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Semmens, Darius J. 0000-0001-7924-6529 dsemmens@usgs.gov","orcid":"https://orcid.org/0000-0001-7924-6529","contributorId":1714,"corporation":false,"usgs":true,"family":"Semmens","given":"Darius","email":"dsemmens@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":481904,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70048673,"text":"ofr20131260 - 2013 - Emergency assessment of post-fire debris-flow hazards for the 2013 Rim Fire, Stanislaus National Forest and Yosemite National Park, California","interactions":[],"lastModifiedDate":"2013-11-14T18:02:06","indexId":"ofr20131260","displayToPublicDate":"2013-10-29T10:56:00","publicationYear":"2013","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":"2013-1260","title":"Emergency assessment of post-fire debris-flow hazards for the 2013 Rim Fire, Stanislaus National Forest and Yosemite National Park, California","docAbstract":"Wildfire can significantly alter the hydrologic response of a watershed to the extent that even modest rainstorms can produce dangerous flash floods and debris flows. In this report, empirical models are used to predict the probability and magnitude of debris-flow occurrence in response to a 10-year rainstorm for the 2013 Rim fire in Yosemite National Park and the Stanislaus National Forest, California. Overall, the models predict a relatively high probability (60–80 percent) of debris flow for 28 of the 1,238 drainage basins in the burn area in response to a 10-year recurrence interval design storm. Predictions of debris-flow volume suggest that debris flows may entrain a significant volume of material, with 901 of the 1,238 basins identified as having potential debris-flow volumes greater than 10,000 cubic meters. These results of the relative combined hazard analysis suggest there is a moderate likelihood of significant debris-flow hazard within and downstream of the burn area for nearby populations, infrastructure, wildlife, and water resources. Given these findings, we recommend that residents, emergency managers, and public works departments pay close attention to weather forecasts and National-Weather-Service-issued Debris Flow and Flash Flood Outlooks, Watches and Warnings and that residents adhere to any evacuation orders.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131260","usgsCitation":"Staley, D.M., 2013, Emergency assessment of post-fire debris-flow hazards for the 2013 Rim Fire, Stanislaus National Forest and Yosemite National Park, California: U.S. Geological Survey Open-File Report 2013-1260, Report: iv, 11 p.; 3 Plates: 54.67 x 43.39 inches or smaller, https://doi.org/10.3133/ofr20131260.","productDescription":"Report: iv, 11 p.; 3 Plates: 54.67 x 43.39 inches or smaller","numberOfPages":"15","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":278521,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131260.gif"},{"id":278517,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1260/pdf/of2013-1260.pdf"},{"id":278518,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1260/pdf/of2013-1260_Plate1.pdf"},{"id":278519,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1260/pdf/of2013-1260_Plate2.pdf"},{"id":278520,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1260/pdf/of2013-1260_Plate3.pdf"},{"id":278516,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1260/"}],"projection":"Universal Transverse Mercator","datum":"North American Datum of 1983","country":"United States","state":"California","otherGeospatial":"Stanislaus National Forest;Yosemite National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120.319948,37.550566 ], [ -120.319948,38.250044 ], [ -119.629869,38.250044 ], [ -119.629869,37.550566 ], [ -120.319948,37.550566 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5270cafbe4b0f7a10664c770","contributors":{"authors":[{"text":"Staley, Dennis M. 0000-0002-2239-3402 dstaley@usgs.gov","orcid":"https://orcid.org/0000-0002-2239-3402","contributorId":4134,"corporation":false,"usgs":true,"family":"Staley","given":"Dennis","email":"dstaley@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":485383,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70048670,"text":"sir20135169 - 2013 - Nitrate in the Mississippi River and its tributaries, 1980-2010: an update","interactions":[],"lastModifiedDate":"2013-11-14T18:05:50","indexId":"sir20135169","displayToPublicDate":"2013-10-29T09:54:00","publicationYear":"2013","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":"2013-5169","title":"Nitrate in the Mississippi River and its tributaries, 1980-2010: an update","docAbstract":"Nitrate concentration and flux were estimated from 1980 through 2010 at eight sites in the Mississippi River Basin as part of the National Water-Quality Assessment (NAWQA) Program of the U.S. Geological Survey (USGS). These estimates extend the results from a previous investigation that provided nitrate estimates from 1980 through 2008 at the same sites. From 1980 through 2010, annual flow-normalized (FN) nitrate concentration and flux in the Iowa and Illinois Rivers decreased by 11 to 15 percent. These two rivers had the highest FN nitrate concentration in 1980 (5.3 milligrams per liter [mg/L] and 3.9 mg/L, respectively) of any of the study sites. Nitrate increased in the Missouri River (79 and 45 percent increase in FN concentration and flux, respectively), and at the four sites on the Mississippi River (17 to 70 percent increase in FN concentration and 8 to 55 percent increase in FN flux) from 1980 through 2010. Nitrate in the Ohio River was generally stable during this time. Historically, nitrate was high and changed little in the Iowa and Illinois Rivers; however, nitrate concentrations began to decrease around 2000, and this decrease continued through 2010. Also during this time, near-flat nitrate trends in lower sections of the Mississippi River began increasing, likely reflecting the acceleration of already increasing nitrate trends in the upper Mississippi and Missouri Rivers, in addition to increases in inputs from other tributaries in the lower part of the Mississippi River Basin. Spring trends (April through June) generally parallel annual trends at all sites from 1980 through 2010, except in the Iowa River where decreasing nitrate during the spring was not observed. In general, most sites had increases in nitrate concentration at low streamflows, which suggests increases in legacy nitrate from groundwater or point source contributions. In aggregate, the decreases in nitrate concentrations from the Iowa and Illinois Rivers, which largely occurred during high flows, appear to be overshadowed by increasing nitrate concentrations across much of the Mississippi River Basin.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135169","collaboration":"National Water-Quality Assessment Program","usgsCitation":"Murphy, J.C., Hirsch, R.M., and Sprague, L.A., 2013, Nitrate in the Mississippi River and its tributaries, 1980-2010: an update: U.S. Geological Survey Scientific Investigations Report 2013-5169, vi, 31 p., https://doi.org/10.3133/sir20135169.","productDescription":"vi, 31 p.","numberOfPages":"42","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"1980-01-01","temporalEnd":"2010-12-31","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":278509,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135169.jpg"},{"id":278507,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5169/"},{"id":278508,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5169/pdf/sir20135169.pdf"}],"country":"United States","otherGeospatial":"Gulf Of Mexico;Illinois River;Iowa River;Mississippi River Basin;Missouri River;Ohio River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.21,28.65 ], [ -114.21,49.98 ], [ -76.6,49.98 ], [ -76.6,28.65 ], [ -114.21,28.65 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5270cafee4b0f7a10664c79d","contributors":{"authors":[{"text":"Murphy, Jennifer C. 0000-0002-0881-0919 jmurphy@usgs.gov","orcid":"https://orcid.org/0000-0002-0881-0919","contributorId":4281,"corporation":false,"usgs":true,"family":"Murphy","given":"Jennifer","email":"jmurphy@usgs.gov","middleInitial":"C.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":485366,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hirsch, Robert M. 0000-0002-4534-075X rhirsch@usgs.gov","orcid":"https://orcid.org/0000-0002-4534-075X","contributorId":2005,"corporation":false,"usgs":true,"family":"Hirsch","given":"Robert","email":"rhirsch@usgs.gov","middleInitial":"M.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":485365,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sprague, Lori A. 0000-0003-2832-6662 lsprague@usgs.gov","orcid":"https://orcid.org/0000-0003-2832-6662","contributorId":726,"corporation":false,"usgs":true,"family":"Sprague","given":"Lori","email":"lsprague@usgs.gov","middleInitial":"A.","affiliations":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":485364,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70048668,"text":"70048668 - 2013 - Injection-induced earthquakes","interactions":[],"lastModifiedDate":"2017-02-13T14:54:15","indexId":"70048668","displayToPublicDate":"2013-10-29T09:52:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"title":"Injection-induced earthquakes","docAbstract":"Earthquakes in unusual locations have become an important topic of discussion in both North America and Europe, owing to the concern that industrial activity could cause damaging earthquakes. It has long been understood that earthquakes can be induced by impoundment of reservoirs, surface and underground mining, withdrawal of fluids and gas from the subsurface, and injection of fluids into underground formations. Injection-induced earthquakes have, in particular, become a focus of discussion as the application of hydraulic fracturing to tight shale formations is enabling the production of oil and gas from previously unproductive formations. Earthquakes can be induced as part of the process to stimulate the production from tight shale formations, or by disposal of wastewater associated with stimulation and production. Here, I review recent seismic activity that may be associated with industrial activity, with a focus on the disposal of wastewater by injection in deep wells; assess the scientific understanding of induced earthquakes; and discuss the key scientific challenges to be met for assessing this hazard.","language":"English","publisher":"American Association for the Advancement of Science","doi":"10.1126/science.1225942","usgsCitation":"Ellsworth, W.L., 2013, Injection-induced earthquakes: Science, v. 341, no. 6142, p. 142-143, https://doi.org/10.1126/science.1225942.","productDescription":"2 p.","startPage":"142","endPage":"143","ipdsId":"IP-045697","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":278506,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278504,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1126/science.1225942"}],"volume":"341","issue":"6142","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5270cafce4b0f7a10664c788","contributors":{"authors":[{"text":"Ellsworth, William L. ellsworth@usgs.gov","contributorId":787,"corporation":false,"usgs":true,"family":"Ellsworth","given":"William","email":"ellsworth@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":485362,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70048747,"text":"70048747 - 2013 - Tumors in sea turtles: The insidious menace of fibropapillomatosis","interactions":[],"lastModifiedDate":"2018-02-23T14:52:43","indexId":"70048747","displayToPublicDate":"2013-10-29T09:12:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3587,"text":"The Wildlife Professional","active":true,"publicationSubtype":{"id":10}},"title":"Tumors in sea turtles: The insidious menace of fibropapillomatosis","docAbstract":"Early in July 2013, a colleague in New Caledonia reported the stranding of a green sea turtle on the far northwest of the island. The animal had washed up dead on a rocky beach with multiple large tumors on its neck and hind flippers. To all appearances, the turtle had fibropapillomatosis (FP), a tumor disease affecting marine turtles globally. This was the first known case of FP on the island—an alarming find, and another example of the creeping expansion of this disease in green turtles around the world.
","language":"English","publisher":"The Wildlife Society","usgsCitation":"Work, T.M., and Balazs, G.H., 2013, Tumors in sea turtles: The insidious menace of fibropapillomatosis: The Wildlife Professional, v. Fall 2013, p. 44-47.","productDescription":"4 p.","startPage":"44","endPage":"47","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-049527","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":278628,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"Fall 2013","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5274cd83e4b089748f07245e","contributors":{"authors":[{"text":"Work, Thierry M. 0000-0002-4426-9090 thierry_work@usgs.gov","orcid":"https://orcid.org/0000-0002-4426-9090","contributorId":1187,"corporation":false,"usgs":true,"family":"Work","given":"Thierry","email":"thierry_work@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":485538,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Balazs, George H.","contributorId":88195,"corporation":false,"usgs":true,"family":"Balazs","given":"George","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":485539,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70048667,"text":"70048667 - 2013 - Crustal structure and fault geometry of the 2010 Haiti earthquake from temporary seismometer deployments","interactions":[],"lastModifiedDate":"2018-03-23T14:04:05","indexId":"70048667","displayToPublicDate":"2013-10-29T09:07:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Crustal structure and fault geometry of the 2010 Haiti earthquake from temporary seismometer deployments","docAbstract":"Haiti has been the locus of a number of large and damaging historical earthquakes. The recent 12 January 2010 Mw 7.0 earthquake affected cities that were largely unprepared, which resulted in tremendous losses. It was initially assumed that the earthquake ruptured the Enriquillo Plantain Garden fault (EPGF), a major active structure in southern Haiti, known from geodetic measurements and its geomorphic expression to be capable of producing M 7 or larger earthquakes. Global Positioning Systems (GPS) and Interferometric Synthetic Aperture Radar (InSAR) data, however, showed that the event ruptured a previously unmapped fault, the Léogâne fault, a north‐dipping oblique transpressional fault located immediately north of the EPGF. Following the earthquake, several groups installed temporary seismic stations to record aftershocks, including ocean‐bottom seismometers on either side of the EPGF. We use data from the complete set of stations deployed after the event, on land and offshore, to relocate all aftershocks from 10 February to 24 June 2010, determine a 1D regional crustal velocity model, and calculate focal mechanisms. The aftershock locations from the combined dataset clearly delineate the Léogâne fault, with a geometry close to that inferred from geodetic data. Its strike and dip closely agree with the global centroid moment tensor solution of the mainshock but with a steeper dip than inferred from previous finite fault inversions. The aftershocks also delineate a structure with shallower southward dip offshore and to the west of the rupture zone, which could indicate triggered seismicity on the offshore Trois Baies reverse fault. We use first‐motion focal mechanisms to clarify the relationship of the fault geometry to the triggered aftershocks.","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120120303","usgsCitation":"Douilly, R., Haase, J.S., Ellsworth, W.L., Bouin, M., Calais, E., Symithe, S.J., Armbruster, J.G., Mercier de Lepinay, B., Deschamps, A., Mildor, S., Meremonte, M.E., and Hough, S.E., 2013, Crustal structure and fault geometry of the 2010 Haiti earthquake from temporary seismometer deployments: Bulletin of the Seismological Society of America, v. 103, no. 4, p. 2305-2325, https://doi.org/10.1785/0120120303.","productDescription":"21 p.","startPage":"2305","endPage":"2325","numberOfPages":"21","ipdsId":"IP-044476","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":278499,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278495,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1785/0120120303"}],"country":"Haiti","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -72.793426,18.351113 ], [ -72.793426,18.671113 ], [ -72.473426,18.671113 ], [ -72.473426,18.351113 ], [ -72.793426,18.351113 ] ] ] } } ] }","volume":"103","issue":"4","noUsgsAuthors":false,"publicationDate":"2013-07-31","publicationStatus":"PW","scienceBaseUri":"5270caf9e4b0f7a10664c75e","contributors":{"authors":[{"text":"Douilly, Roby","contributorId":68173,"corporation":false,"usgs":true,"family":"Douilly","given":"Roby","email":"","affiliations":[],"preferred":false,"id":485359,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haase, Jennifer S.","contributorId":81238,"corporation":false,"usgs":true,"family":"Haase","given":"Jennifer","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":485360,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ellsworth, William L. ellsworth@usgs.gov","contributorId":787,"corporation":false,"usgs":true,"family":"Ellsworth","given":"William","email":"ellsworth@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":485351,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bouin, Marie-Paule","contributorId":49697,"corporation":false,"usgs":true,"family":"Bouin","given":"Marie-Paule","email":"","affiliations":[],"preferred":false,"id":485357,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Calais, Eric","contributorId":98838,"corporation":false,"usgs":true,"family":"Calais","given":"Eric","email":"","affiliations":[],"preferred":false,"id":485361,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Symithe, Steeve J.","contributorId":32818,"corporation":false,"usgs":true,"family":"Symithe","given":"Steeve","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":485356,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Armbruster, John G.","contributorId":51195,"corporation":false,"usgs":true,"family":"Armbruster","given":"John","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":485358,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mercier de Lepinay, Bernard","contributorId":10322,"corporation":false,"usgs":true,"family":"Mercier de Lepinay","given":"Bernard","email":"","affiliations":[],"preferred":false,"id":485353,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Deschamps, Anne","contributorId":24269,"corporation":false,"usgs":true,"family":"Deschamps","given":"Anne","email":"","affiliations":[],"preferred":false,"id":485354,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Mildor, Saint‐Louis","contributorId":26217,"corporation":false,"usgs":true,"family":"Mildor","given":"Saint‐Louis","affiliations":[],"preferred":false,"id":485355,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Meremonte, Mark E. meremonte@usgs.gov","contributorId":4664,"corporation":false,"usgs":true,"family":"Meremonte","given":"Mark","email":"meremonte@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":485352,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Hough, Susan E. 0000-0002-5980-2986 hough@usgs.gov","orcid":"https://orcid.org/0000-0002-5980-2986","contributorId":587,"corporation":false,"usgs":true,"family":"Hough","given":"Susan","email":"hough@usgs.gov","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":485350,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70048650,"text":"sir20135151 - 2013 - Groundwater contributions of flow, nitrate, and dissolved organic carbon to the lower San Joaquin River, California, 2006-08","interactions":[],"lastModifiedDate":"2013-11-14T14:50:52","indexId":"sir20135151","displayToPublicDate":"2013-10-29T08:58:00","publicationYear":"2013","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":"2013-5151","title":"Groundwater contributions of flow, nitrate, and dissolved organic carbon to the lower San Joaquin River, California, 2006-08","docAbstract":"The influence of groundwater on surface-water quality in the San Joaquin River, California, was examined for a 59-mile reach from the confluence with Salt Slough to Vernalis. The primary objective of this study was to quantify the rate of groundwater discharged to the lower San Joaquin River and the contribution of nitrate and dissolved organic carbon concentrations to the river. Multiple lines of evidence from four independent approaches were used to characterize groundwater contributions of nitrogen and dissolved organic carbon. Monitoring wells (in-stream and bank wells), streambed synoptic surveys (stream water and shallow groundwater), longitudinal profile surveys by boat (continuous water-quality parameters in the stream), and modeling (MODFLOW and VS2DH) provided a combination of temporal, spatial, quantitative, and qualitative evidence of groundwater contributions to the river and the associated quality. Monitoring wells in nested clusters in the streambed (in-stream wells) and on both banks (bank wells) along the river were monitored monthly from September 2006 to January 2009. Nitrate concentrations in the bank wells ranged from less than detection—that is, less than 0.01 milligrams per liter (mg/L) as nitrogen (N)—to approximately 13 mg/L as N. Nitrate was not detected at 17 of 26 monitoring wells during the study period. Dissolved organic carbon concentrations among monitoring wells were highly variable, but they generally ranged from 1 to 4 mg/L. In a previous study, 14 bank wells were sampled once in 1988 following their original installation. With few exceptions, specific conductivity and nitrate concentrations measured in this study were virtually identical to those measured 20 years ago. Streambed synoptic measurements were made by using a temporarily installed drive-point piezometer at 113 distinct transects across the stream during 4 sampling events. Nitrate concentrations exceeded the detection limit of 0.01 mg/L as N in 5 percent of groundwater samples collected from the in-stream wells as part of the synoptic surveys. Only 7 of the 113 cross-sectional transects had nitrate concentrations greater than 1 mg/L as N. In contrast, surface waters in the San Joaquin River tended to have nitrate concentrations in the 1–3 mg/L as N range. A zone of lower oxygen (less than 2 mg/L) in the streambed could limit nitrate contributions from regional groundwater flow because nitrate can be converted to nitrogen gas within this zone. Appreciable concentrations of ammonium (average concentration was 1.92 mg/L as N, and 95th percentile was 10.34 mg/L as N) in the shallow groundwater, believed to originate from anoxic mineralization of streambed sediments, could contribute nitrogen to the overlying stream as nitrate following in-stream nitrification, however. Dissolved organic carbon concentrations were highly variable in the shallow groundwater below the river (1 to 6 ft below streambed) and generally ranged between 1 and 5 mg/L, but had maximum concentrations in the 15–25 mg/L range. The longitudinal profile surveys were not particularly useful in identifying groundwater discharge areas. However, the longitudinal approach described in this report was useful as a baseline survey of measured water-quality parameters and for identifying tributary inflows that affect surface-water concentrations of nitrate. Results of the calibrated MODFLOW model indicated that the simulated groundwater discharge rate was approximately 1.0 cubic foot per second per mile (cfs/mi), and the predominant horizontal groundwater flow direction between the deep bank wells was westward beneath the river. The modeled (VS2DH) flux values (river gain versus river loss) were calculated for the irrigation and non-irrigation season, and these fluxes were an order of magnitude less than those from MODFLOW. During the irrigation season, the average river gain was 0.11 cfs/mi, and the average river loss was −0.05 cfs/mi. During the non-irrigation season, the average river gain was 0.10 cfs/mi, and the average river loss was -0.08 cfs/mi. Information on groundwater interactions and water quality collected for this study was used to estimate loads of nitrate and dissolved organic carbon from the groundwater to the San Joaquin River. Estimated loads of dissolved inorganic nitrogen and dissolved organic carbon were calculated by using concentrations measured during four streambed synoptic surveys and the estimated groundwater discharge rate to the San Joaquin River from MODFLOW of 1 cfs/mi. The estimated groundwater loads to the San Joaquin River for dissolved inorganic nitrogen and dissolved organic carbon were 300 and 350 kilograms per day, respectively. These loads represent 9 and 7 percent, respectively, of the estimated instantaneous surface-water loads for dissolved inorganic nitrogen and dissolved organic carbon at the most downstream site, Vernalis, measured during the four streambed synoptic surveys.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135151","collaboration":"Prepared in cooperation with the University of California at Davis and CALFED Drinking Water Quality Program","usgsCitation":"Zamora, C., Dahlgren, R., Kratzer, C.R., Downing, B.D., Russell, A.D., Dileanis, P.D., Bergamaschi, B., and Phillips, S.P., 2013, Groundwater contributions of flow, nitrate, and dissolved organic carbon to the lower San Joaquin River, California, 2006-08: U.S. Geological Survey Scientific Investigations Report 2013-5151, Report: xii, 105 p.; Appendix 4: CSV file; Appendix 5: CSV file; Appendix 6: CSV file; Appendix 7: CSV file; Appendix 8: CSV file, https://doi.org/10.3133/sir20135151.","productDescription":"Report: xii, 105 p.; Appendix 4: CSV file; Appendix 5: CSV file; Appendix 6: CSV file; Appendix 7: CSV file; Appendix 8: CSV file","additionalOnlineFiles":"Y","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":278467,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135151.jpg"},{"id":278460,"type":{"id":15,"text":"Index 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economic importance of Great Salt Lake, only limited water quality monitoring has occurred historically. To change this, new monitoring stations and networks—gauges of lake level height and rate of inflow, moored buoys, and multiple lake-bottom sensors—will provide important information that can be used to make informed decisions regarding future management of the Great Salt Lake ecosystem.","largerWorkTitle":"Eos, Transactions American Geophysical Union","language":"English","publisher":"Wiley","doi":"10.1002/2013EO330001","usgsCitation":"Naftz, D.L., Angeroth, C.E., Freeman, M.L., Rowland, R.C., and Carling, G., 2013, Monitoring change in Great Salt Lake: Eos, Transactions, American Geophysical Union, v. 94, no. 33, p. 289-296, https://doi.org/10.1002/2013EO330001.","productDescription":"8 p.","startPage":"289","endPage":"296","ipdsId":"IP-045172","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":278511,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"Salt Lake City","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -113.1012,40.669 ], [ -113.1012,41.705 ], [ -111.9302,41.705 ], [ -111.9302,40.669 ], [ -113.1012,40.669 ] ] ] } } ] }","volume":"94","issue":"33","noUsgsAuthors":false,"publicationDate":"2013-08-13","publicationStatus":"PW","scienceBaseUri":"5270cafde4b0f7a10664c791","contributors":{"authors":[{"text":"Naftz, David L. 0000-0003-1130-6892 dlnaftz@usgs.gov","orcid":"https://orcid.org/0000-0003-1130-6892","contributorId":1041,"corporation":false,"usgs":true,"family":"Naftz","given":"David","email":"dlnaftz@usgs.gov","middleInitial":"L.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true},{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":482177,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Angeroth, Cory E. 0000-0002-2915-6418 angeroth@usgs.gov","orcid":"https://orcid.org/0000-0002-2915-6418","contributorId":2105,"corporation":false,"usgs":true,"family":"Angeroth","given":"Cory","email":"angeroth@usgs.gov","middleInitial":"E.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":482179,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Freeman, Michael L. mfreeman@usgs.gov","contributorId":1042,"corporation":false,"usgs":true,"family":"Freeman","given":"Michael","email":"mfreeman@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":482178,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rowland, Ryan C. rrowland@usgs.gov","contributorId":3606,"corporation":false,"usgs":true,"family":"Rowland","given":"Ryan","email":"rrowland@usgs.gov","middleInitial":"C.","affiliations":[],"preferred":true,"id":482180,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Carling, Gregory 0000-0001-5820-125X","orcid":"https://orcid.org/0000-0001-5820-125X","contributorId":69459,"corporation":false,"usgs":false,"family":"Carling","given":"Gregory","email":"","affiliations":[{"id":6681,"text":"Brigham Young University","active":true,"usgs":false}],"preferred":false,"id":482181,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70045521,"text":"70045521 - 2013 - Migration and wintering areas of American Bitterns (Botaurus lentiginosus) that summer in central North America as determined by satellite and radio telemetry, 1998-2003","interactions":[],"lastModifiedDate":"2013-10-29T09:07:12","indexId":"70045521","displayToPublicDate":"2013-10-28T21:50:00","publicationYear":"2013","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}},"title":"Migration and wintering areas of American Bitterns (Botaurus lentiginosus) that summer in central North America as determined by satellite and radio telemetry, 1998-2003","docAbstract":"Twenty adult male American Bitterns (Botaurus lentiginosus) were marked on summer range in central North America with satellite tracking Platform Transmitter Terminals (PTTs) to document migration routes and wintering range. Nineteen complete fall migration routes were documented for 17 individuals. Of the successful migrations, 63% (n = 12) went to southern Florida, 32% (n = 6) to southern Louisiana, and 5% (n = 1) to the Gulf coast of Texas. Spring migrations for nine birds were documented, and 78% (n = 7) showed fidelity to breeding range. Two complete migrations for two individuals were documented, and they demonstrated fidelity to winter range. The longest, fastest movement documented was 2,300 km in less than 74 hr. Extensive, post-breeding dispersal was not observed in the adult male American Bitterns in this study. Six male American Bitterns were marked with PTTs on winter range in Florida and Texas. Spring migration for these birds was documented to Nebraska, North Dakota, Saskatchewan, Manitoba and Ontario. Sixty-seven American Bitterns were marked with Very High Frequency radio transmitters on summer ranges, and 16% (n = 11) were located on wintering grounds used by the satellite-tracked birds, further documenting the importance of the Everglades and the Louisiana coast as winter habitat for American Bitterns that breed in Central North America.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Waterbirds","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"The Waterbird Society","doi":"10.1675/063.036.0307","usgsCitation":"Huschle, G., Toepfer, J.E., and Douglas, D.C., 2013, Migration and wintering areas of American Bitterns (Botaurus lentiginosus) that summer in central North America as determined by satellite and radio telemetry, 1998-2003: Waterbirds, v. 36, no. 3, p. 300-309, https://doi.org/10.1675/063.036.0307.","productDescription":"10 p.","startPage":"300","endPage":"309","ipdsId":"IP-044127","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":278486,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278485,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1675/063.036.0307"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -102.35,25.17 ], [ -102.35,49.07 ], [ -79.06,49.07 ], [ -79.06,25.17 ], [ -102.35,25.17 ] ] ] } } ] }","volume":"36","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"526f7970e4b0493c992e995d","contributors":{"authors":[{"text":"Huschle, Guy","contributorId":75846,"corporation":false,"usgs":true,"family":"Huschle","given":"Guy","email":"","affiliations":[],"preferred":false,"id":477727,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Toepfer, John E.","contributorId":37635,"corporation":false,"usgs":true,"family":"Toepfer","given":"John","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":477726,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Douglas, David C. 0000-0003-0186-1104 ddouglas@usgs.gov","orcid":"https://orcid.org/0000-0003-0186-1104","contributorId":2388,"corporation":false,"usgs":true,"family":"Douglas","given":"David","email":"ddouglas@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":477725,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70046552,"text":"70046552 - 2013 - Mineral Resource of the Month - Kyanite","interactions":[],"lastModifiedDate":"2013-10-28T15:14:18","indexId":"70046552","displayToPublicDate":"2013-10-28T15:06:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1422,"text":"Earth Magazine","active":true,"publicationSubtype":{"id":10}},"title":"Mineral Resource of the Month - Kyanite","docAbstract":"No abstract available","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earth Magazine","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geosciences Institute","usgsCitation":"Tanner, A.O., 2013, Mineral Resource of the Month - Kyanite: Earth Magazine, v. 58, no. 8, p. 57-57.","productDescription":"1 p.","startPage":"57","endPage":"57","numberOfPages":"1","ipdsId":"IP-045913","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":278489,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278490,"type":{"id":15,"text":"Index Page"},"url":"https://www.earthmagazine.org/tags/august-2013"}],"volume":"58","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"526f7971e4b0493c992e9969","contributors":{"authors":[{"text":"Tanner, Arnold O. atanner@usgs.gov","contributorId":524,"corporation":false,"usgs":true,"family":"Tanner","given":"Arnold","email":"atanner@usgs.gov","middleInitial":"O.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":479794,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70047263,"text":"70047263 - 2013 - Mineral Resource of the Month - Hafnium","interactions":[],"lastModifiedDate":"2013-10-28T15:03:23","indexId":"70047263","displayToPublicDate":"2013-10-28T14:57:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1422,"text":"Earth Magazine","active":true,"publicationSubtype":{"id":10}},"title":"Mineral Resource of the Month - Hafnium","docAbstract":"No abstract available","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earth Magazine","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geosciences Institute","usgsCitation":"Bedinger, G.M., 2013, Mineral Resource of the Month - Hafnium: Earth Magazine, v. 58, no. 10, 1 p.","productDescription":"1 p.","numberOfPages":"1","ipdsId":"IP-049625","costCenters":[],"links":[{"id":278488,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278487,"type":{"id":15,"text":"Index Page"},"url":"https://www.earthmagazine.org/tags/october-2013"}],"volume":"58","issue":"10","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"526f7971e4b0493c992e9963","contributors":{"authors":[{"text":"Bedinger, George M. gbedinger@usgs.gov","contributorId":4567,"corporation":false,"usgs":true,"family":"Bedinger","given":"George","email":"gbedinger@usgs.gov","middleInitial":"M.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":481562,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70048655,"text":"70048655 - 2013 - Behaviors of southwestern native fishes in response to introduced catfish predators","interactions":[],"lastModifiedDate":"2013-12-23T10:32:25","indexId":"70048655","displayToPublicDate":"2013-10-28T13:33:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Behaviors of southwestern native fishes in response to introduced catfish predators","docAbstract":"Native fishes reared in hatcheries typically suffer high predation mortality when stocked into natural environments. We evaluated the behavior of juvenile bonytail Gila elegans, roundtail chub Gila robusta, razorback sucker Xyrauchen texanus, and Sonora sucker Catostomus insignis in response to introduced channel catfish Ictalurus punctatus and flathead catfish Pylodictis olivaris. Our laboratory tests indicate these species did not inherently recognize catfish as a threat, but they can quickly (within 12 h) change their behavior in response to a novel predator paired with the sight and scent of a dead conspecific. Chubs appear to avoid predation by swimming away from the threat, whereas suckers reduced movement. Effects of antipredator conditioning on survival of fish reared in hatcheries is unknown; however, our results suggest some native fish can be conditioned to recognize introduced predators, which could increase poststocking survival.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Fish and Wildlife Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"U.S. Fish & Wildlife Service","doi":"10.3996/092012-JFWM-084","usgsCitation":"Ward, D.L., and Figiel, C.R., 2013, Behaviors of southwestern native fishes in response to introduced catfish predators: Journal of Fish and Wildlife Management, v. 4, no. 2, p. 307-315, https://doi.org/10.3996/092012-JFWM-084.","productDescription":"9 p.","startPage":"307","endPage":"315","numberOfPages":"9","ipdsId":"IP-034581","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":473473,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/092012-jfwm-084","text":"Publisher Index Page"},{"id":278480,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278479,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3996/092012-JFWM-084"}],"volume":"4","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-08-01","publicationStatus":"PW","scienceBaseUri":"526f796ee4b0493c992e993f","contributors":{"authors":[{"text":"Ward, David L. 0000-0002-3355-0637 dlward@usgs.gov","orcid":"https://orcid.org/0000-0002-3355-0637","contributorId":3879,"corporation":false,"usgs":true,"family":"Ward","given":"David","email":"dlward@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":485311,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Figiel, Chester R. Jr.","contributorId":69053,"corporation":false,"usgs":true,"family":"Figiel","given":"Chester","suffix":"Jr.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":485312,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70046884,"text":"70046884 - 2013 - Mineral resource of the month: Lithium","interactions":[],"lastModifiedDate":"2016-08-31T12:09:21","indexId":"70046884","displayToPublicDate":"2013-10-28T11:45:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1419,"text":"Earth","active":true,"publicationSubtype":{"id":10}},"title":"Mineral resource of the month: Lithium","docAbstract":"No abstract available
","language":"English","publisher":"American Geosciences Institute","usgsCitation":"Jaskula, B.W., 2013, Mineral resource of the month: Lithium: Earth, v. 58, no. 9, p. 53-53.","productDescription":"1 p.","startPage":"53","endPage":"53","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-049084","costCenters":[],"links":[{"id":278475,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278474,"type":{"id":15,"text":"Index Page"},"url":"https://www.earthmagazine.org/tags/september-2013"}],"volume":"58","issue":"9","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"526f7970e4b0493c992e995a","contributors":{"authors":[{"text":"Jaskula, Brian W. bjaskula@usgs.gov","contributorId":1935,"corporation":false,"usgs":true,"family":"Jaskula","given":"Brian","email":"bjaskula@usgs.gov","middleInitial":"W.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":false,"id":480562,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70047215,"text":"70047215 - 2013 - Linking movement and reproductive history of brook trout to assess habitat connectivity in a heterogeneous stream network","interactions":[],"lastModifiedDate":"2013-12-16T09:51:09","indexId":"70047215","displayToPublicDate":"2013-10-28T11:36:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Linking movement and reproductive history of brook trout to assess habitat connectivity in a heterogeneous stream network","docAbstract":"1. Defining functional connectivity between habitats in spatially heterogeneous landscapes is a particular challenge for small-bodied aquatic species. Traditional approaches (e.g. mark–recapture studies) preclude an assessment of animal movement over the life cycle (birth to reproduction), and movement of individuals may not represent the degree of gene movement for fecund species.\nWe investigated the degree of habitat connectivity (defined as the exchange of individuals and genes between mainstem and tributary habitats) in a stream brook trout (Salvelinus fontinalis) population using mark–recapture [passive integrated transponder (PIT) tags], stationary PIT-tag antennae and genetic pedigree data collected over 4 years (3425 marked individuals). We hypothesised that: (i) a combination of these data would reveal higher estimates of animal movement over the life cycle (within a generation), relative to more temporally confined approaches, and (ii) movement estimates of individuals within a generation would differ from between-generation movement of genes because of spatial variation in reproductive success associated with high fecundity of this species.\nOver half of PIT-tagged fish (juveniles and adults) were recaptured within 20 m during periodic sampling, indicating restricted movement. However, continuous monitoring with stationary PIT-tag antennae revealed distinct peaks in trout movements in June and October–November, and sibship data inferred post-emergence movements of young-of-year trout that were too small to be tagged physically. A combination of these methods showed that a moderate portion of individuals (28–33%) moved between mainstem and tributary habitats over their life cycle.\nPatterns of reproductive success varied spatially and temporally. The importance of tributaries as spawning habitat was discovered by accounting for reproductive history. When individuals born in the mainstem reproduced successfully, over 50% of their surviving offspring were inferred to have been born in tributaries. This high rate of gene movement to tributaries was cryptic, and it would have been missed by estimates based only on movement of individuals.\nThis study highlighted the importance of characterising animal movement over the life cycle for inferring habitat connectivity accurately. 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