Conservation of sport fisheries and populations of several native fishes in the western United States is dependent on sustained success of removal programs targeting invasive Lake Trout Salvelinus namaycush. Gill-netting of spawning adults is one strategy used to decrease spawning success; however, additional complementary methods are needed to disrupt Lake Trout reproduction where bycatch in gill nets is unacceptable. We developed and tested two portable electrode arrays designed to increase Lake Trout embryo mortality in known spawning areas. Both arrays were powered by existing commercial electrofishing equipment. However, one array was moved across the substrate to simulate being towed behind a boat (i.e., towed array), while the other array was lowered from a boat and energized when sedentary (i.e., sedentary array). The arrays were tested on embryos placed within substrates of known spawning areas. Both arrays increased mortality of embryos (>90%) at the surface of substrates, but only the sedentary array was able to increase mortality to >90% at deeper burial depths. In contrast, embryos at increasingly deeper depths exhibited progressively lower mortality when exposed to the towed array. Mortality of embryos placed under 20 cm of substrate and exposed to the towed array was not significantly different from that of unexposed embryos in a control group. We suggest that the sedentary array could be used as a viable approach for increasing mortality of Lake Trout embryos buried to 20 cm and that it could be modified to be effective at deeper depths.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02755947.2016.1269031","usgsCitation":"Brown, P.J., Guy, C.S., and Meeuwig, M.H., 2017, A comparison of two mobile electrode arrays for increasing mortality of Lake Trout embryos: North American Journal of Fisheries Management, v. 37, no. 2, p. 363-369, https://doi.org/10.1080/02755947.2016.1269031.","productDescription":"7 p.","startPage":"363","endPage":"369","ipdsId":"IP-071624","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":348395,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-03","publicationStatus":"PW","scienceBaseUri":"5a07e85ae4b09af898c8cb56","contributors":{"authors":[{"text":"Brown, Peter J.","contributorId":198607,"corporation":false,"usgs":false,"family":"Brown","given":"Peter","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":716542,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guy, Christopher S. 0000-0002-9936-4781 cguy@usgs.gov","orcid":"https://orcid.org/0000-0002-9936-4781","contributorId":2876,"corporation":false,"usgs":true,"family":"Guy","given":"Christopher","email":"cguy@usgs.gov","middleInitial":"S.","affiliations":[{"id":5062,"text":"Office of the Chief Scientist for Ecosystems","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":716541,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Meeuwig, Michael H.","contributorId":198608,"corporation":false,"usgs":false,"family":"Meeuwig","given":"Michael","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":716543,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70192604,"text":"70192604 - 2017 - Remote sensing for wetland mapping and historical change detection at the Nisqually River Delta","interactions":[],"lastModifiedDate":"2017-11-10T18:03:33","indexId":"70192604","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3504,"text":"Sustainability","active":true,"publicationSubtype":{"id":10}},"title":"Remote sensing for wetland mapping and historical change detection at the Nisqually River Delta","docAbstract":"Coastal wetlands are important ecosystems for carbon storage and coastal resilience to climate change and sea-level rise. As such, changes in wetland habitat types can also impact ecosystem functions. Our goal was to quantify historical vegetation change within the Nisqually River watershed relevant to carbon storage, wildlife habitat, and wetland sustainability, and identify watershed-scale anthropogenic and hydrodynamic drivers of these changes. To achieve this, we produced time-series classifications of habitat, photosynthetic pathway functional types and species in the Nisqually River Delta for the years 1957, 1980, and 2015. Using an object-oriented approach, we performed a hierarchical classification on historical and current imagery to identify change within the watershed and wetland ecosystems. We found a 188.4 ha (79%) increase in emergent marsh wetland within the Nisqually River Delta between 1957 and 2015 as a result of restoration efforts that occurred in several phases through 2009. Despite these wetland gains, a total of 83.1 ha (35%) of marsh was lost between 1957 and 2015, particularly in areas near the Nisqually River mouth due to erosion and shifting river channels, resulting in a net wetland gain of 105.4 ha (44%). We found the trajectory of wetland recovery coincided with previous studies, demonstrating the role of remote sensing for historical wetland change detection as well as future coastal wetland monitoring.
","language":"English","publisher":"MDPI","doi":"10.3390/su9111919","usgsCitation":"Ballanti, L., Byrd, K.B., Woo, I., and Ellings, C., 2017, Remote sensing for wetland mapping and historical change detection at the Nisqually River Delta: Sustainability, v. 9, no. 11, p. 1-32, https://doi.org/10.3390/su9111919.","productDescription":"Article 1919; 32 p.","startPage":"1","endPage":"32","ipdsId":"IP-090392","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":461355,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/su9111919","text":"Publisher Index Page"},{"id":438166,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F78G8JN3","text":"USGS data release","linkHelpText":"Historical Time-series Classification of Habitat for 1957, 1980 and 2015 in the Nisqually River Delta, Washington"},{"id":348593,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Nisqually River Delta","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.74440765380858,\n 47.022631553729966\n ],\n [\n -122.66407012939452,\n 47.022631553729966\n ],\n [\n -122.66407012939452,\n 47.11172875008271\n ],\n [\n -122.74440765380858,\n 47.11172875008271\n ],\n [\n -122.74440765380858,\n 47.022631553729966\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"9","issue":"11","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-26","publicationStatus":"PW","scienceBaseUri":"5a06c8c7e4b09af898c860f4","contributors":{"authors":[{"text":"Ballanti, Laurel 0000-0002-6478-8322 lballanti@usgs.gov","orcid":"https://orcid.org/0000-0002-6478-8322","contributorId":198603,"corporation":false,"usgs":true,"family":"Ballanti","given":"Laurel","email":"lballanti@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":716528,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Byrd, Kristin B. 0000-0002-5725-7486 kbyrd@usgs.gov","orcid":"https://orcid.org/0000-0002-5725-7486","contributorId":3814,"corporation":false,"usgs":true,"family":"Byrd","given":"Kristin","email":"kbyrd@usgs.gov","middleInitial":"B.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":716529,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Woo, Isa 0000-0002-8447-9236 iwoo@usgs.gov","orcid":"https://orcid.org/0000-0002-8447-9236","contributorId":2524,"corporation":false,"usgs":true,"family":"Woo","given":"Isa","email":"iwoo@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":716530,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ellings, Christopher","contributorId":146989,"corporation":false,"usgs":false,"family":"Ellings","given":"Christopher","affiliations":[{"id":16766,"text":"Nisqually Indian Tribe, Dep't of Natural Resources, Olympia, WA","active":true,"usgs":false}],"preferred":false,"id":716531,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70192774,"text":"70192774 - 2017 - Osmoregulation and muscle water control in vitro facing salinity stress of the Amazon fish Oscar Astronotus ocellatus (Cichlidae)","interactions":[],"lastModifiedDate":"2017-11-17T11:13:04","indexId":"70192774","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3900,"text":"Marine and Freshwater Behaviour and Physiology","active":true,"publicationSubtype":{"id":10}},"title":"Osmoregulation and muscle water control in vitro facing salinity stress of the Amazon fish Oscar Astronotus ocellatus (Cichlidae)","docAbstract":"Specimens of Oscar Astronotus ocellatus from a fish farm were abruptly submitted to salt stress of 14 ppt and 20 ppt, for 3 and 8 h to determine their plasma osmolality. Muscle wet body mass change in vitro was analyzed from control freshwater animals. Fish in 14 ppt presented no osmolality distress even after 8 h. In 20 ppt, a slight increase (10%) in plasma osmolality was observed for both times of exposure when compared to control fish. Muscle slices submitted in vitro to hyper-osmotic saline displayed decreased body mass after 75 min, and slices submitted to hypo-osmotic saline displayed increased body mass after 45 min when compared to control (isosmotic saline). These results reinforce A. ocellatus’s euryhalinity. The fish were able to regulate its internal medium and tolerate 14 ppt, but presented an intense osmotic challenge and low muscle hydration control when facing salinities of 20 ppt.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/10236244.2017.1387480","usgsCitation":"Gutierre, S.M., Schulte, J., Schofield, P.J., and Prodocimo, V., 2017, Osmoregulation and muscle water control in vitro facing salinity stress of the Amazon fish Oscar Astronotus ocellatus (Cichlidae): Marine and Freshwater Behaviour and Physiology, v. 50, no. 4, p. 303-311, https://doi.org/10.1080/10236244.2017.1387480.","productDescription":"9 p.","startPage":"303","endPage":"311","ipdsId":"IP-083604","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":438168,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F77P8WK3","text":"USGS data release","linkHelpText":"Osmoregulatory capacity and muscle water control facing salinity stress of the Amazon fish Astronotus ocellatus (Cichlidae)"},{"id":349058,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"50","issue":"4","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-17","publicationStatus":"PW","scienceBaseUri":"5a60fb22e4b06e28e9c22d26","contributors":{"authors":[{"text":"Gutierre, Silvia M. M. 0000-0003-1905-3535","orcid":"https://orcid.org/0000-0003-1905-3535","contributorId":198700,"corporation":false,"usgs":false,"family":"Gutierre","given":"Silvia","email":"","middleInitial":"M. M.","affiliations":[],"preferred":false,"id":716881,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schulte, Jessica M.","contributorId":198701,"corporation":false,"usgs":false,"family":"Schulte","given":"Jessica M.","affiliations":[],"preferred":false,"id":716882,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schofield, Pamela J. 0000-0002-8752-2797 pschofield@usgs.gov","orcid":"https://orcid.org/0000-0002-8752-2797","contributorId":168659,"corporation":false,"usgs":true,"family":"Schofield","given":"Pamela","email":"pschofield@usgs.gov","middleInitial":"J.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":716880,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Prodocimo, Viviane","contributorId":172504,"corporation":false,"usgs":false,"family":"Prodocimo","given":"Viviane","email":"","affiliations":[{"id":27057,"text":"Setor de Ciencias Biologicas, Universidade Federal do Parana, Brazil","active":true,"usgs":false}],"preferred":false,"id":716883,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70191866,"text":"70191866 - 2017 - Otters, marine","interactions":[],"lastModifiedDate":"2018-02-15T11:10:13","indexId":"70191866","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Otters, marine","docAbstract":"No abstract available.
The Tampa Bay region of Florida (USA) is a hot spot for non-native freshwater fishes. However, published information on most non-native fishes in the basin is not current. Systematic sampling efforts targeting non-native fishes in the region were conducted from 2013–2015 by the University of Florida Tropical Aquaculture Laboratory. Data from these recent surveys were analyzed, along with historic and new data from published and unpublished sources, to assess current fish distributions and determine status. We focus on five of the non-native species sampled: pike killifish Belonesox belizanus Kner, 1860, green swordtail Xiphophorus hellerii Heckel, 1848, southern platyfish Xiphophorus maculatus (Günther, 1866), Mayan cichlid Mayaheros urophthalmus (Günther, 1862), and Jack Dempsey Rocio octofasciata (Regan, 1903). All five were found to have reproducing populations in the basin, each showing broader distributions than previously indicated. Non-native populations of four of the species have persisted in the Tampa Bay region since at least the 1990s. In contrast, the presence of Mayan cichlid in the basin was not confirmed until 2004. Based on numbers, distributions, and years of persistence, these five species all maintain established populations. Pike killifish and Mayan cichlid are established and spreading throughout multiple habitat types, while green swordtail, southern platyfish, and Jack Dempsey are localized and found primarily in more marginal habitats (e.g., small ditches and first order tributary streams). Factors affecting continued existence and distributions likely include aquaculture, biotic resistance, and thermal and salinity tolerances. We also clarify non-native species status determination using a multi-agency collaborative approach, and reconcile differences in terminology usage and interpretation.
","language":"English","publisher":"REABIC","doi":"10.3391/bir.2017.6.4.15","usgsCitation":"Lawson, K., Tuckett, Q.M., Ritch, J.L., Nico, L., Fuller, P., Matheson, R.E., and Hill, J.E., 2017, Distribution and status of five non-native fish species in the Tampa Bay drainage (USA), a hot spot for fish introductions: BioInvasions Records, v. 6, no. 4, p. 393-406, https://doi.org/10.3391/bir.2017.6.4.15.","productDescription":"14 p.","startPage":"393","endPage":"406","ipdsId":"IP-076367","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":461361,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3391/bir.2017.6.4.15","text":"Publisher Index Page"},{"id":438164,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F790228K","text":"USGS data release","linkHelpText":"Distribution and status of five non-native fish species in the Tampa Bay drainage (USA), a hot spot for fish introductions-Data"},{"id":351243,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Tampa Bay drainage","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.33,\n 28.33\n ],\n [\n -81.66,\n 28.33\n ],\n [\n -81.66,\n 27.35\n ],\n [\n -83.33,\n 27.35\n ],\n [\n -83.33,\n 28.33\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"6","issue":"4","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a7c1e7ae4b00f54eb22933f","contributors":{"authors":[{"text":"Lawson, Katelyn M.","contributorId":201981,"corporation":false,"usgs":false,"family":"Lawson","given":"Katelyn M.","affiliations":[{"id":36314,"text":"University of Florida/IFAS","active":true,"usgs":false}],"preferred":false,"id":727319,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tuckett, Quenton M.","contributorId":201982,"corporation":false,"usgs":false,"family":"Tuckett","given":"Quenton","email":"","middleInitial":"M.","affiliations":[{"id":36314,"text":"University of Florida/IFAS","active":true,"usgs":false}],"preferred":false,"id":727320,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ritch, Jared L.","contributorId":201983,"corporation":false,"usgs":false,"family":"Ritch","given":"Jared","email":"","middleInitial":"L.","affiliations":[{"id":36315,"text":"University of Florida/IFAS : Florida Fish and Wildlife Conservation Commission","active":true,"usgs":false}],"preferred":false,"id":727321,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nico, Leo 0000-0002-4488-7737 lnico@usgs.gov","orcid":"https://orcid.org/0000-0002-4488-7737","contributorId":138599,"corporation":false,"usgs":true,"family":"Nico","given":"Leo","email":"lnico@usgs.gov","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":727323,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fuller, Pam 0000-0002-9389-9144 pfuller@usgs.gov","orcid":"https://orcid.org/0000-0002-9389-9144","contributorId":167676,"corporation":false,"usgs":true,"family":"Fuller","given":"Pam","email":"pfuller@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":727318,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Matheson, Richard E.","contributorId":201984,"corporation":false,"usgs":false,"family":"Matheson","given":"Richard","email":"","middleInitial":"E.","affiliations":[{"id":12556,"text":"Florida Fish and Wildlife Conservation Commission","active":true,"usgs":false}],"preferred":false,"id":727322,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hill, Jeffrey E.","contributorId":201985,"corporation":false,"usgs":false,"family":"Hill","given":"Jeffrey","email":"","middleInitial":"E.","affiliations":[{"id":36314,"text":"University of Florida/IFAS","active":true,"usgs":false}],"preferred":false,"id":727324,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70191540,"text":"70191540 - 2017 - Identity, reproductive potential, distribution, ecology and management of invasive Pomacea maculata in the southern United States","interactions":[],"lastModifiedDate":"2017-11-30T12:55:58","indexId":"70191540","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Identity, reproductive potential, distribution, ecology and management of invasive Pomacea maculata in the southern United States","docAbstract":"Established populations of introduced Pomacea maculata, a highly fecund, large species of apple snail native to South America, now occur throughout southeast Asia, in Spain and extensively across the southern United States. Substantial research on nonnative apple snails takes place in Southeast Asia and has frequently identified apple snails as P. canaliculata. That these Asian populations represent at least two Pomacea species, P. canaliculata and P. maculata, has been confirmed through anatomical and genetic\nevidence. However, the two species are often still confused because of their similar shell morphologies and life history traits. This contribution reviews the distribution, life history, ecology and management of P. maculata introduced to the southern USA. So far the agricultural impacts of P. maculata in the USA fail to match those of non-native applesnails elsewhere, but the invasion of wetlands by this species suggests the need for increased vigilance to prevent further spread and avoid the ecological impacts that have been associated elsewhere with P. canaliculata.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Biology and management of invasive apple snails","language":"English","publisher":"Philippine Rice Research Institute","usgsCitation":"Burks, R.L., Bernatis, J., Byers, J.E., Carter, J., Martin, C.M., McDowell, W.G., and Van Dyke, J., 2017, Identity, reproductive potential, distribution, ecology and management of invasive Pomacea maculata in the southern United States, chap. of Biology and management of invasive apple snails, p. 293-333.","productDescription":"41 p.","startPage":"293","endPage":"333","ipdsId":"IP-053402","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":349589,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fb23e4b06e28e9c22d2b","contributors":{"editors":[{"text":"Joshi, R. C.","contributorId":201033,"corporation":false,"usgs":false,"family":"Joshi","given":"R.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":724141,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Cowie, R. H.","contributorId":201034,"corporation":false,"usgs":false,"family":"Cowie","given":"R.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":724142,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Sebastian, L. S.","contributorId":201035,"corporation":false,"usgs":false,"family":"Sebastian","given":"L.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":724143,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Burks, Romi L.","contributorId":197153,"corporation":false,"usgs":false,"family":"Burks","given":"Romi","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":712702,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bernatis, Jennifer","contributorId":197154,"corporation":false,"usgs":false,"family":"Bernatis","given":"Jennifer","email":"","affiliations":[],"preferred":false,"id":712703,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Byers, James E.","contributorId":197155,"corporation":false,"usgs":false,"family":"Byers","given":"James","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":712704,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carter, Jacoby 0000-0003-0110-0284 carterj@usgs.gov","orcid":"https://orcid.org/0000-0003-0110-0284","contributorId":2399,"corporation":false,"usgs":true,"family":"Carter","given":"Jacoby","email":"carterj@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":712701,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Martin, Charles M.","contributorId":55490,"corporation":false,"usgs":false,"family":"Martin","given":"Charles","email":"","middleInitial":"M.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":712705,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McDowell, William G.","contributorId":197156,"corporation":false,"usgs":false,"family":"McDowell","given":"William","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":712706,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Van Dyke, Jess","contributorId":197157,"corporation":false,"usgs":false,"family":"Van Dyke","given":"Jess","email":"","affiliations":[],"preferred":false,"id":712707,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70192621,"text":"70192621 - 2017 - Potential for spatial displacement of Cook Inlet beluga whales by anthropogenic noise in critical habitat","interactions":[],"lastModifiedDate":"2017-11-10T11:10:24","indexId":"70192621","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1497,"text":"Endangered Species Research","active":true,"publicationSubtype":{"id":10}},"title":"Potential for spatial displacement of Cook Inlet beluga whales by anthropogenic noise in critical habitat","docAbstract":"The population of beluga whales in Cook Inlet, Alaska, USA, declined by nearly half in the mid-1990s, primarily from an unsustainable harvest, and was listed as endangered in 2008. In 2014, abundance was ~340 whales, and the population trend during 1999-2014 was -1.3% yr-1. Cook Inlet beluga whales are particularly vulnerable to anthropogenic impacts, and noise that has the potential to reduce communication and echolocation range considerably has been documented in critical habitat; thus, noise was ranked as a high potential threat in the Cook Inlet beluga Recovery Plan. The current recovery strategy includes research on effects of threats potentially limiting recovery, and thus we examined the potential impact of anthropogenic noise in critical habitat, specifically, spatial displacement. Using a subset of data on anthropogenic noise and beluga detections from a 5 yr acoustic study, we evaluated the influence of noise events on beluga occupancy probability. We used occupancy models, which account for factors that affect detection probability when estimating occupancy, the first application of these models to examine the potential impacts of anthropogenic noise on marine mammal behavior. Results were inconclusive, primarily because beluga detections were relatively infrequent. Even though noise metrics (sound pressure level and noise duration) appeared in high-ranking models as covariates for occupancy probability, the data were insufficient to indicate better predictive ability beyond those models that only included environmental covariates. Future studies that implement protocols designed specifically for beluga occupancy will be most effective for accurately estimating the effect of noise on beluga displacement.
","language":"English","publisher":"Inter-Research","doi":"10.3354/esr00786","usgsCitation":"Small, R.J., Brost, B.M., Hooten, M., Castellote, M., and Mondragon, J., 2017, Potential for spatial displacement of Cook Inlet beluga whales by anthropogenic noise in critical habitat: Endangered Species Research, v. 32, p. 43-57, https://doi.org/10.3354/esr00786.","productDescription":"15 p.","startPage":"43","endPage":"57","ipdsId":"IP-070647","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":469374,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/esr00786","text":"Publisher Index Page"},{"id":348568,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -154.46777343749997,\n 58.95000823335702\n ],\n [\n -149.23828125,\n 58.95000823335702\n ],\n [\n -149.23828125,\n 61.543641475549954\n ],\n [\n -154.46777343749997,\n 61.543641475549954\n ],\n [\n -154.46777343749997,\n 58.95000823335702\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"32","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a06c8c7e4b09af898c860e8","contributors":{"authors":[{"text":"Small, Robert J.","contributorId":171486,"corporation":false,"usgs":false,"family":"Small","given":"Robert","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":721567,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brost, Brian M.","contributorId":171484,"corporation":false,"usgs":false,"family":"Brost","given":"Brian","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":721568,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hooten, Mevin 0000-0002-1614-723X mhooten@usgs.gov","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":2958,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin","email":"mhooten@usgs.gov","affiliations":[{"id":12963,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO","active":true,"usgs":false},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":716571,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Castellote, Manuel","contributorId":200241,"corporation":false,"usgs":false,"family":"Castellote","given":"Manuel","email":"","affiliations":[],"preferred":false,"id":721569,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mondragon, Jeffrey","contributorId":200242,"corporation":false,"usgs":false,"family":"Mondragon","given":"Jeffrey","affiliations":[],"preferred":false,"id":721570,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70196924,"text":"70196924 - 2017 - Regional geology and tectonics","interactions":[],"lastModifiedDate":"2018-06-12T13:45:48","indexId":"70196924","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Regional geology and tectonics","docAbstract":"This chapter describes the regional geology and tectonic origins of the major geologic units for the Northern Cordillera. The goals of the chapter are to: (1) provide a summary and regional overview of this vast region that contains a complicated geologic history; and (2) describe the major geologic units and tectonic events that cover a broad geologic time span from the Proterozoic to the Holocene (Recent).","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Dynamic geology of the Northern Cordillera (Alaska and western Canada) and adjacent marine areas: Tectonics, hazards, and resources","language":"English","publisher":"University of Alaska, Fairbanks","usgsCitation":"Nokleberg, W.J., 2017, Regional geology and tectonics, chap. of Dynamic geology of the Northern Cordillera (Alaska and western Canada) and adjacent marine areas: Tectonics, hazards, and resources, E-book.","productDescription":"E-book","ipdsId":"IP-081592","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":354956,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":354047,"type":{"id":15,"text":"Index Page"},"url":"https://scholarworks.alaska.edu/handle/11122/7994"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b46e64ee4b060350a15d27c","contributors":{"editors":[{"text":"Bundtzen, Thomas K.","contributorId":83560,"corporation":false,"usgs":true,"family":"Bundtzen","given":"Thomas K.","affiliations":[],"preferred":false,"id":737782,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Nokleberg, Warren J. 0000-0002-1574-8869 wnokleberg@usgs.gov","orcid":"https://orcid.org/0000-0002-1574-8869","contributorId":2077,"corporation":false,"usgs":true,"family":"Nokleberg","given":"Warren","email":"wnokleberg@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":737783,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Price, Raymond A.","contributorId":205543,"corporation":false,"usgs":false,"family":"Price","given":"Raymond","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":737784,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Scholl, David W. 0000-0001-6500-6962 dscholl@usgs.gov","orcid":"https://orcid.org/0000-0001-6500-6962","contributorId":3738,"corporation":false,"usgs":true,"family":"Scholl","given":"David","email":"dscholl@usgs.gov","middleInitial":"W.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":737785,"contributorType":{"id":2,"text":"Editors"},"rank":4},{"text":"Stone, David B.","contributorId":65324,"corporation":false,"usgs":true,"family":"Stone","given":"David B.","affiliations":[],"preferred":false,"id":737786,"contributorType":{"id":2,"text":"Editors"},"rank":5}],"authors":[{"text":"Nokleberg, Warren J. 0000-0002-1574-8869 wnokleberg@usgs.gov","orcid":"https://orcid.org/0000-0002-1574-8869","contributorId":2077,"corporation":false,"usgs":true,"family":"Nokleberg","given":"Warren","email":"wnokleberg@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":735006,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70196421,"text":"70196421 - 2017 - Swimming behaviour and ascent paths of brook trout in a corrugated culvert","interactions":[],"lastModifiedDate":"2018-04-06T10:33:44","indexId":"70196421","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Swimming behaviour and ascent paths of brook trout in a corrugated culvert","docAbstract":"Culverts may restrict fish movements under some hydraulic conditions such as shallow flow depths or high velocities. Although swimming capacity imposes limits to passage performance, behaviour also plays an important role in the ability of fish to overcome velocity barriers. Corrugated metal culverts are characterized by unsteady flow and existence of low‐velocity zones, which can improve passage success. Here, we describe swimming behaviour and ascent paths of 148 wild brook trout in a 1.5‐m section of a corrugated metal culvert located in Raquette Stream, Québec, Canada. Five passage trials were conducted in mid‐August, corresponding to specific mean cross‐sectional flow velocities ranging from 0.30 to 0.63 m/s. Fish were individually introduced to the culvert and their movements recorded with a camera located above the water. Lateral and longitudinal positions were recorded at a rate of 3 Hz in order to identify ascent paths. These positions were related to the distribution of flow depths and velocities in the culvert. Brook trout selected flow velocities from 0.2 to 0.5 m/s during their ascents, which corresponded to the available flow velocities in the culvert at the low‐flow conditions. This however resulted in the use of low‐velocity zones at higher flows, mainly located along the walls of the culvert. Some fish also used the corrugations for sheltering, although the behaviour was marginal and did not occur at the highest flow condition. This study improves knowledge on fish behaviour during culvert ascents, which is an important aspect for developing reliable and accurate estimates of fish passage ability.
","language":"English","publisher":"Wiley","doi":"10.1002/rra.3187","usgsCitation":"Goerig, E., Bergeron, N.E., and Castro-Santos, T.R., 2017, Swimming behaviour and ascent paths of brook trout in a corrugated culvert: River Research and Applications, v. 33, no. 9, p. 1463-1471, https://doi.org/10.1002/rra.3187.","productDescription":"9 p.","startPage":"1463","endPage":"1471","ipdsId":"IP-082960","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":469370,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://espace.inrs.ca/id/eprint/6365/1/P003210.pdf","text":"External Repository"},{"id":353212,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"33","issue":"9","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-08","publicationStatus":"PW","scienceBaseUri":"5afee7c6e4b0da30c1bfc370","contributors":{"authors":[{"text":"Goerig, Elsa","contributorId":168522,"corporation":false,"usgs":false,"family":"Goerig","given":"Elsa","email":"","affiliations":[{"id":25321,"text":"Institut National de la Recherche Scientifique","active":true,"usgs":false}],"preferred":false,"id":732856,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bergeron, Normand E.","contributorId":173374,"corporation":false,"usgs":false,"family":"Bergeron","given":"Normand","email":"","middleInitial":"E.","affiliations":[{"id":27216,"text":"INRS, Quebec","active":true,"usgs":false}],"preferred":false,"id":732857,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Castro-Santos, Theodore R. 0000-0003-2575-9120 tcastrosantos@usgs.gov","orcid":"https://orcid.org/0000-0003-2575-9120","contributorId":3321,"corporation":false,"usgs":true,"family":"Castro-Santos","given":"Theodore","email":"tcastrosantos@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":732855,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70194283,"text":"70194283 - 2017 - Restoration of contaminated ecosystems: adaptive management in a changing climate","interactions":[],"lastModifiedDate":"2017-11-22T11:54:31","indexId":"70194283","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Restoration of contaminated ecosystems: adaptive management in a changing climate","docAbstract":"Three case studies illustrate how adaptive management (AM) has been used in ecological restorations that involve contaminants. Contaminants addressed include mercury, selenium, and contaminants and physical disturbances delivered to streams by urban stormwater runoff. All three cases emphasize the importance of broad stakeholder input early and consistently throughout decision analysis for AM. Risk of contaminant exposure provided input to the decision analyses (e.g. selenium exposure to endangered razorback suckers, Stewart Lake; multiple contaminants in urban stormwater runoff, Melbourne) and was balanced with the protection of resources critical for a desired future state (e.g. preservation old growth trees, South River). Monitoring also played a critical role in the ability to conduct the decision analyses necessary for AM plans. For example, newer technologies in the Melbourne case provided a testable situation where contaminant concentrations and flow disturbance were reduced to support a return to good ecological condition. In at least one case (Stewart Lake), long-term monitoring data are being used to document the potential effects of climate change on a restoration trajectory. Decision analysis formalized the process by which stakeholders arrived at the priorities for the sites, which together constituted the desired future condition towards which each restoration is aimed. Alternative models were developed that described in mechanistic terms how restoration can influence the system towards the desired future condition. Including known and anticipated effects of future climate scenarios in these models will make them robust to the long-term exposure and effects of contaminants in restored ecosystems.
","language":"English","publisher":"Wiley","doi":"10.1111/rec.12583","usgsCitation":"Farag, A., Larson, D.L., Stauber, J., Stahl, R., Isanhart, J., McAbee, K., and Walsh, C.J., 2017, Restoration of contaminated ecosystems: adaptive management in a changing climate: Restoration Ecology, v. 25, no. 6, p. 884-893, https://doi.org/10.1111/rec.12583.","productDescription":"10 p.","startPage":"884","endPage":"893","ipdsId":"IP-080300","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":487214,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/rec.12583","text":"Publisher Index Page"},{"id":349273,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"25","issue":"6","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-08","publicationStatus":"PW","scienceBaseUri":"5a60fb21e4b06e28e9c22d08","contributors":{"authors":[{"text":"Farag, Aida 0000-0003-4247-6763 aida_farag@usgs.gov","orcid":"https://orcid.org/0000-0003-4247-6763","contributorId":200690,"corporation":false,"usgs":true,"family":"Farag","given":"Aida","email":"aida_farag@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":723065,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Larson, Diane L. 0000-0001-5202-0634 dlarson@usgs.gov","orcid":"https://orcid.org/0000-0001-5202-0634","contributorId":2120,"corporation":false,"usgs":true,"family":"Larson","given":"Diane","email":"dlarson@usgs.gov","middleInitial":"L.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":723066,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stauber, Jenny","contributorId":200691,"corporation":false,"usgs":false,"family":"Stauber","given":"Jenny","email":"","affiliations":[],"preferred":false,"id":723067,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stahl, Ralph","contributorId":200692,"corporation":false,"usgs":false,"family":"Stahl","given":"Ralph","affiliations":[],"preferred":false,"id":723068,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Isanhart, John 0000-0003-0208-1839","orcid":"https://orcid.org/0000-0003-0208-1839","contributorId":200693,"corporation":false,"usgs":false,"family":"Isanhart","given":"John","email":"","affiliations":[],"preferred":false,"id":723069,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McAbee, Kevin T.","contributorId":141327,"corporation":false,"usgs":false,"family":"McAbee","given":"Kevin T.","affiliations":[],"preferred":false,"id":723292,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Walsh, Christopher J.","contributorId":171683,"corporation":false,"usgs":false,"family":"Walsh","given":"Christopher","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":723293,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70194442,"text":"70194442 - 2017 - Tree sampling as a method to assess vapor intrusion potential at a site characterized by VOC-contaminated groundwater and soil","interactions":[],"lastModifiedDate":"2017-11-29T13:19:10","indexId":"70194442","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Tree sampling as a method to assess vapor intrusion potential at a site characterized by VOC-contaminated groundwater and soil","docAbstract":"Vapor intrusion (VI) by volatile organic compounds (VOCs) in the built environment presents a threat to human health. Traditional VI assessments are often time-, cost-, and labor-intensive; whereas traditional subsurface methods sample a relatively small volume in the subsurface and are difficult to collect within and near structures. Trees could provide a similar subsurface sample where roots act as the “sampler’ and are already onsite. Regression models were developed to assess the relation between PCE concentrations in over 500 tree-core samples with PCE concentrations in over 50 groundwater and 1000 soil samples collected from a tetrachloroethylene- (PCE-) contaminated Superfund site and analyzed using gas chromatography. Results indicate that in planta concentrations are significantly and positively related to PCE concentrations in groundwater samples collected at depths less than 20 m (adjusted R2 values greater than 0.80) and in soil samples (adjusted R2 values greater than 0.90). Results indicate that a 30 cm diameter tree characterizes soil concentrations at depths less than 6 m over an area of 700–1600 m2, the volume of a typical basement. These findings indicate that tree sampling may be an appropriate method to detect contamination at shallow depths at sites with VI.
","language":"English","publisher":"ACS Publications","doi":"10.1021/acs.est.7b02667","usgsCitation":"Wilson, J.L., Limmer, M.A., Samaranayake, V., Schumacher, J., and Burken, J.G., 2017, Tree sampling as a method to assess vapor intrusion potential at a site characterized by VOC-contaminated groundwater and soil: Environmental Science & Technology, v. 51, no. 18, p. 10369-10378, https://doi.org/10.1021/acs.est.7b02667.","productDescription":"10 p.","startPage":"10369","endPage":"10378","ipdsId":"IP-083556","costCenters":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"links":[{"id":438169,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F71835D8","text":"USGS data release","linkHelpText":"Tetrachloroethylene, trichloroethylene, and 1,1,2-Trichloro-1,2,2-trifluoroethane concentrations in tree-core, groundwater, and soil samples at the Vienna Wells Site: Maries County, Missouri, 2011-2016"},{"id":349537,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Missouri","city":"Vienna","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.9442,\n 38.1883\n ],\n [\n -91.9417,\n 38.1883\n ],\n [\n -91.9417,\n 38.19\n ],\n [\n -91.9442,\n 38.19\n ],\n [\n -91.9442,\n 38.1883\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"51","issue":"18","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-31","publicationStatus":"PW","scienceBaseUri":"5a60fb21e4b06e28e9c22d02","contributors":{"authors":[{"text":"Wilson, Jordan L. 0000-0003-0490-9062 jlwilson@usgs.gov","orcid":"https://orcid.org/0000-0003-0490-9062","contributorId":5416,"corporation":false,"usgs":true,"family":"Wilson","given":"Jordan","email":"jlwilson@usgs.gov","middleInitial":"L.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":723833,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Limmer, Matthew A.","contributorId":200927,"corporation":false,"usgs":false,"family":"Limmer","given":"Matthew","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":723834,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Samaranayake, V.A.","contributorId":200928,"corporation":false,"usgs":false,"family":"Samaranayake","given":"V.A.","affiliations":[],"preferred":false,"id":723835,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schumacher, John G. jschu@usgs.gov","contributorId":2055,"corporation":false,"usgs":true,"family":"Schumacher","given":"John G.","email":"jschu@usgs.gov","affiliations":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":723836,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Burken, Joel G.","contributorId":21218,"corporation":false,"usgs":true,"family":"Burken","given":"Joel","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":723837,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70194320,"text":"70194320 - 2017 - Pleistocene glaciers, lakes, and floods in north-central Washington State","interactions":[],"lastModifiedDate":"2017-11-30T13:31:09","indexId":"70194320","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Pleistocene glaciers, lakes, and floods in north-central Washington State","docAbstract":"The Methow, Chelan, Wenatchee, and other terrane blocks accreted in late Mesozoic to Eocene times. Methow valley is excavated in an exotic terrane of folded Mesozoic sedimentary and volcanic rocks faulted between crystalline blocks. Repeated floods of Columbia River Basalt about 16 Ma drowned a backarc basin to the southeast.\n\nCirques, aretes, and U-shaped hanging troughs brand the Methow, Skagit, and Chelan headwaters. The Late Wisconsin Cordilleran icesheet beveled the alpine topography and deposited drift. Cordilleran ice flowed into the heads of Methow tributaries and overflowed from Skagit tributaries to greatly augment Chelan trough's glacier. Joined Okanogan and Methow ice flowed down Columbia valley and up lower Chelan trough. This tongue met the icesheet tongue flowing southeast down Chelan valley. Successively lower ice-marginal channels and kame terraces show that the icesheet withered away largely by downwasting.\n\nImmense late Wisconsin floods from glacial Lake Missoula occasionally swept the Chelan-Vantage reach of Columbia valley by different routes. The earliest debacles, nearly 19,000 cal yr BP (by radiocarbon methods), raged 335 m deep down the Columbia and built high Pangborn bar at Wenatchee. As Cordilleran ice blocked the northwest of Columbia valley, several giant floods descended Moses Coulee and backflooded up the Columbia. As advancing ice then blocked Moses Coulee, Grand Coulee to Quincy basin became the westmost floodway. From Quincy basin many Missoula floods backflowed 50 km upvalley past Wenatchee 18,000 to 15,500 years ago. Receding ice dammed glacial Lake Columbia centuries more--till it burst about 15,000 years ago. After Glacier Peak ashfall about 13,600 years ago, smaller great flood(s) swept down the Columbia from glacial Lake Kootenay in British Columbia. A cache of huge fluted Clovis points had been laid atop Pangborn bar (East Wenatchee) after the Glacier Peak ashfall. Clovis people came two and a half millennia after the last small Missoula flood, two millennia after the glacial Lake Columbia flood.\n\nThis timing by radiocarbon methods is under review by newer exposure dating--10Be, 26Al, and 36Cl methods.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"From the Puget Lowland to east of the Cascade Range—Geologic excursions in the Pacific Northwest: Geological Society of America Field Guide 49","language":"English","publisher":"Geological Society of America","isbn":"978-0-8137-0049-6","usgsCitation":"Waitt, R.B., 2017, Pleistocene glaciers, lakes, and floods in north-central Washington State, chap. of From the Puget Lowland to east of the Cascade Range—Geologic excursions in the Pacific Northwest: Geological Society of America Field Guide 49, p. 175-205.","productDescription":"31 p.","startPage":"175","endPage":"205","ipdsId":"IP-088267","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":349597,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":349596,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://rock.geosociety.org/Store/detail.aspx?id=FLD049"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fb21e4b06e28e9c22d05","contributors":{"editors":[{"text":"Haugerud, Ralph A. 0000-0001-7302-4351 rhaugerud@usgs.gov","orcid":"https://orcid.org/0000-0001-7302-4351","contributorId":2691,"corporation":false,"usgs":true,"family":"Haugerud","given":"Ralph","email":"rhaugerud@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":724156,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Kelsey, Harvey M.","contributorId":101713,"corporation":false,"usgs":true,"family":"Kelsey","given":"Harvey","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":724157,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Waitt, Richard B. 0000-0002-6392-5604 waitt@usgs.gov","orcid":"https://orcid.org/0000-0002-6392-5604","contributorId":2343,"corporation":false,"usgs":true,"family":"Waitt","given":"Richard","email":"waitt@usgs.gov","middleInitial":"B.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":723269,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70194264,"text":"70194264 - 2017 - Use of swabs for sampling epithelial cells for molecular genetics analyses in Enteroctopus","interactions":[],"lastModifiedDate":"2018-05-20T12:29:34","indexId":"70194264","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":735,"text":"American Malacological Bulletin","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Use of swabs for sampling epithelial cells for molecular genetics analyses in Enteroctopus","title":"Use of swabs for sampling epithelial cells for molecular genetics analyses in Enteroctopus","docAbstract":"We evaluated the efficacy of using swabs to collect cells from the epidermis of octopus as a non-invasive DNA source for classical genetic studies, and demonstrated value of the technique by incorporating it into an effort to determine, within a day, the lineage of captured, live Enteroctopus (E. dofleini or a cryptic lineage). The cryptic lineage was targeted for captive behavioral and morphological studies, while once genetically identified, the non-target lineage could be more rapidly released back to the wild. We used commercially available sterile foamtipped swabs and a high-salt preservation buffer to collect and store paired swab and muscle (arm tip) tissue sampled from live Enteroctopus collected from Prince William Sound, Alaska. We performed a one-day extraction of DNA from epithelial swab samples and amplification of two diagnostic microsatellite loci to determine the lineage of each of the 21 individuals. Following this rapid lineage assessment, which allowed us to release non-target individuals within a day of laboratory work, we compared paired swab and muscle tissue samples from each individual to assess quantity of DNA yields and consistency of genotyping results, followed by assessment of locus-by-locus reliability of DNA extracts from swabs. Epithelial swabs yielded, on average, lower quantities of DNA (170.32 ± 74.72 (SD) ng/μL) relative to DNA obtained from tissues collected using invasive or destructive techniques (310.95 ± 147.37 (SD) ng/μL. We observed some decrease in yields of DNA from extractions of swab samples conducted 19 and 31 months after initial extractions when samples were stored at room temperature in lysis buffer. All extractions yielded quantities of DNA sufficient to amplify and score all loci, which included fragment data from 10 microsatellite loci (nine polymorphic loci and monomorphic locus EdoμA106), and nucleotide sequence data from a 528 base pair portion of the nuclear octopine dehydrogenase gene. All results from genotyping and sequencing using paired swab and muscle tissue extracts were concordant, and experimental reliability levels for multilocus genotypes generated from swab samples exceeded 97%. This technique is useful for studies in which invasive sampling is not optimal, and in remote field situations since samples can be stored at ambient temperatures for at least 31 months. The use of epithelial swabs is thus a noninvasive technique appropriate for sampling genetic material from live octopuses for use in classical genetic studies as well as supporting experimental and behavioral studies.
","language":"English","publisher":"American Malacological Society","doi":"10.4003/006.035.0207","usgsCitation":"Hollenback, N., Scheel, D., Gravley, M.C., Sage, G.K., Toussaint, R.K., and Talbot, S.L., 2017, Use of swabs for sampling epithelial cells for molecular genetics analyses in Enteroctopus: American Malacological Bulletin, v. 35, no. 2, p. 145-157, https://doi.org/10.4003/006.035.0207.","productDescription":"13 p.","startPage":"145","endPage":"157","ipdsId":"IP-070408","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":438159,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7VM49HJ","text":"USGS data release","linkHelpText":"Enteroctopus Sampling Effects on Genetic Data, Prince William Sound, Alaska, 2012-2015"},{"id":349291,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fb22e4b06e28e9c22d0d","contributors":{"authors":[{"text":"Hollenback, Nathan","contributorId":200637,"corporation":false,"usgs":false,"family":"Hollenback","given":"Nathan","email":"","affiliations":[],"preferred":false,"id":722947,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scheel, David","contributorId":53272,"corporation":false,"usgs":false,"family":"Scheel","given":"David","email":"","affiliations":[],"preferred":false,"id":722948,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gravley, Megan C. 0000-0002-4947-0236 mgravley@usgs.gov","orcid":"https://orcid.org/0000-0002-4947-0236","contributorId":202812,"corporation":false,"usgs":true,"family":"Gravley","given":"Megan","email":"mgravley@usgs.gov","middleInitial":"C.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":722949,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sage, George K. 0000-0003-1431-2286 ksage@usgs.gov","orcid":"https://orcid.org/0000-0003-1431-2286","contributorId":87833,"corporation":false,"usgs":true,"family":"Sage","given":"George","email":"ksage@usgs.gov","middleInitial":"K.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":false,"id":722950,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Toussaint, Rebecca K.","contributorId":104376,"corporation":false,"usgs":false,"family":"Toussaint","given":"Rebecca","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":722951,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Talbot, Sandra L. 0000-0002-3312-7214 stalbot@usgs.gov","orcid":"https://orcid.org/0000-0002-3312-7214","contributorId":140512,"corporation":false,"usgs":true,"family":"Talbot","given":"Sandra","email":"stalbot@usgs.gov","middleInitial":"L.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":722946,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70193714,"text":"70193714 - 2017 - Submersed aquatic vegetation in Chesapeake Bay: Sentinel species in a changing world","interactions":[],"lastModifiedDate":"2017-11-20T12:04:15","indexId":"70193714","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":997,"text":"BioScience","active":true,"publicationSubtype":{"id":10}},"title":"Submersed aquatic vegetation in Chesapeake Bay: Sentinel species in a changing world","docAbstract":"Chesapeake Bay has undergone profound changes since European settlement. Increases in human and livestock populations, associated changes in land use, increases in nutrient loadings, shoreline armoring, and depletion of fish stocks have altered the important habitats within the Bay. Submersed aquatic vegetation (SAV) is a critical foundational habitat and provides numerous benefits and services to society. In Chesapeake Bay, SAV species are also indicators of environmental change because of their sensitivity to water quality and shoreline development. As such, SAV has been deeply integrated into regional regulations and annual assessments of management outcomes, restoration efforts, the scientific literature, and popular media coverage. Even so, SAV in Chesapeake Bay faces many historical and emerging challenges. The future of Chesapeake Bay is indicated by and contingent on the success of SAV. Its persistence will require continued action, coupled with new practices, to promote a healthy and sustainable ecosystem.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/biosci/bix058","usgsCitation":"Orth, R.J., Dennison, W.C., Lefcheck, J.S., Gurbisz, C., Hannam, M.P., Keisman, J.L., Landry, J.B., Moore, K.A., Murphy, R., Patrick, C.J., Testa, J., Weller, D.E., and Wilcox, D.J., 2017, Submersed aquatic vegetation in Chesapeake Bay: Sentinel species in a changing world: BioScience, v. 67, no. 8, p. 698-712, https://doi.org/10.1093/biosci/bix058.","productDescription":"15 p.","startPage":"698","endPage":"712","ipdsId":"IP-082185","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"links":[{"id":469359,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/biosci/bix058","text":"Publisher Index Page"},{"id":349132,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Chesapeake Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.3712158203125,\n 36.848856608486905\n ],\n [\n -75.618896484375,\n 36.848856608486905\n ],\n [\n -75.618896484375,\n 39.609920257000795\n ],\n [\n -77.3712158203125,\n 39.609920257000795\n ],\n [\n -77.3712158203125,\n 36.848856608486905\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"67","issue":"8","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-14","publicationStatus":"PW","scienceBaseUri":"5a60fb22e4b06e28e9c22d15","contributors":{"authors":[{"text":"Orth, Robert J.","contributorId":140562,"corporation":false,"usgs":false,"family":"Orth","given":"Robert","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":720010,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dennison, William C.","contributorId":140570,"corporation":false,"usgs":false,"family":"Dennison","given":"William","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":720011,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lefcheck, Jonathon S.","contributorId":199773,"corporation":false,"usgs":false,"family":"Lefcheck","given":"Jonathon","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":720012,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gurbisz, Cassie","contributorId":199774,"corporation":false,"usgs":false,"family":"Gurbisz","given":"Cassie","email":"","affiliations":[],"preferred":false,"id":720013,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hannam, Michael P.","contributorId":199775,"corporation":false,"usgs":false,"family":"Hannam","given":"Michael","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":720014,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Keisman, Jennifer L. 0000-0001-6808-9193 jkeisman@usgs.gov","orcid":"https://orcid.org/0000-0001-6808-9193","contributorId":198107,"corporation":false,"usgs":true,"family":"Keisman","given":"Jennifer","email":"jkeisman@usgs.gov","middleInitial":"L.","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":720009,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Landry, J. Brooke","contributorId":199776,"corporation":false,"usgs":false,"family":"Landry","given":"J.","email":"","middleInitial":"Brooke","affiliations":[],"preferred":false,"id":720015,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Moore, Kenneth A.","contributorId":140569,"corporation":false,"usgs":false,"family":"Moore","given":"Kenneth","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":720016,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Murphy, Rebecca 0000-0003-3391-1823","orcid":"https://orcid.org/0000-0003-3391-1823","contributorId":199777,"corporation":false,"usgs":false,"family":"Murphy","given":"Rebecca","email":"","affiliations":[{"id":37215,"text":"University of Maryland Center for Environmental Science","active":true,"usgs":false}],"preferred":true,"id":720017,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Patrick, Christopher J.","contributorId":199778,"corporation":false,"usgs":false,"family":"Patrick","given":"Christopher","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":720018,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Testa, Jeremy","contributorId":199779,"corporation":false,"usgs":false,"family":"Testa","given":"Jeremy","affiliations":[],"preferred":false,"id":720019,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Weller, Donald E.","contributorId":199780,"corporation":false,"usgs":false,"family":"Weller","given":"Donald","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":720020,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Wilcox, David J.","contributorId":140565,"corporation":false,"usgs":false,"family":"Wilcox","given":"David","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":720021,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70191086,"text":"sir20175113 - 2017 - Suspended sediment, turbidity, and stream water temperature in the Sauk River Basin, western Washington, water years 2012-16","interactions":[],"lastModifiedDate":"2017-11-08T11:26:15","indexId":"sir20175113","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-5113","title":"Suspended sediment, turbidity, and stream water temperature in the Sauk River Basin, western Washington, water years 2012-16","docAbstract":"The Sauk River is a federally designated Wild and Scenic River that drains a relatively undisturbed landscape along the western slope of the North Cascade Mountain Range, Washington, which includes the glaciated volcano, Glacier Peak. Naturally high sediment loads characteristic of basins draining volcanoes like Glacier Peak make the Sauk River a dominant contributor of sediment to the downstream main stem river, the Skagit River. Additionally, the Sauk River serves as important spawning and rearing habitat for several salmonid species in the greater Skagit River system. Because of the importance of sediment to morphology, flow-conveyance, and ecosystem condition, there is interest in understanding the magnitude and timing of suspended sediment and turbidity from the Sauk River system and its principal tributaries, the White Chuck and Suiattle Rivers, to the Skagit River.
Suspended-sediment measurements, turbidity data, and water temperature data were collected at two U.S. Geological Survey streamgages in the upper and middle reaches of the Sauk River over a 4-year period extending from October 2011 to September 2015, and at a downstream location in the lower river for a 5-year period extending from October 2011 to September 2016. Over the collective 5-year study period, mean annual suspended-sediment loads at the three streamgages on the upper, middle, and lower Sauk River streamgages were 94,200 metric tons (t), 203,000 t, and 940,000 t streamgages, respectively. Fine (smaller than 0.0625 millimeter) total suspended-sediment load averaged 49 percent at the upper Sauk River streamgage, 42 percent at the middle Sauk River streamgage, and 34 percent at the lower Sauk River streamgage.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175113","collaboration":"Prepared in cooperation with Sauk-Suiattle Indian Tribe","usgsCitation":"Jaeger, K.L., Curran, C.A., Anderson, S.W., Morris, S.T., Moran, P.W., and Reams, K.A., 2017, Suspended sediment, turbidity, and stream water temperature in the Sauk River Basin, Washington, water years 2012–16: U.S. Geological Survey Scientific Investigations Report 2017–5113, 47 p., https://doi.org/10.3133/sir20175113.","productDescription":"Report: vii, 47 p.; Appendix; Data Release","numberOfPages":"60","onlineOnly":"Y","ipdsId":"IP-087993","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":347907,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5113/sir20175113.pdf","text":"Report","size":"7.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 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U.S. Geological Survey
934 Broadway, Suite 300
Tacoma, Washington 98402
Mussels are conspicuous and ecologically important components of nearshore marine communities around the globe. Pacific blue mussels (Mytilus trossulus) are common residents of intertidal habitats in protected waters of the North Pacific, serving as a conduit of primary production to a wide range of nearshore consumers including predatory invertebrates, sea ducks, shorebirds, sea otters, humans, and other terrestrial mammals. We monitored seven metrics of intertidal Pacific blue mussel abundance at five sites in each of three regions across the northern Gulf of Alaska: Katmai National Park and Preserve (Katmai) (2006–2015), Kenai Fjords National Park (Kenai Fjords) (2008–2015) and western Prince William Sound (WPWS) (2007–2015). Metrics included estimates of: % cover at two tide heights in randomly selected rocky intertidal habitat; and in selected mussel beds estimates of: the density of large mussels (≥ 20 mm); density of all mussels > 2 mm estimated from cores extracted from those mussel beds; bed size; and total abundance of large and all mussels, i.e. the product of density and bed size. We evaluated whether these measures of mussel abundance differed among sites or regions, whether mussel abundance varied over time, and whether temporal patterns in abundance were site specific, or synchronous at regional or Gulf-wide spatial scales. We found that, for all metrics, mussel abundance varied on a site-by-site basis. After accounting for site differences, we found similar temporal patterns in several measures of abundance (both % cover metrics, large mussel density, large mussel abundance, and mussel abundance estimated from cores), in which abundance was initially high, declined significantly over several years, and subsequently recovered. Averaged across all sites, we documented declines of 84% in large mussel abundance through 2013 with recovery to 41% of initial abundance by 2015. These findings suggest that factors operating across the northern Gulf of Alaska were affecting mussel survival and subsequently abundance. In contrast, density of primarily small mussels obtained from cores (as an index of recruitment), varied markedly by site, but did not show meaningful temporal trends. We interpret this to indicate that settlement was driven by site-specific features rather than Gulf wide factors. By extension, we hypothesize that temporal changes in mussel abundance observed was not a result of temporal variation in larval supply leading to variation in recruitment, but rather suggestive of mortality as a primary demographic factor driving mussel abundance. Our results highlight the need to better understand underlying mechanisms of change in mussels, as well as implications of that change to nearshore consumers.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.dsr2.2017.04.008","usgsCitation":"Bodkin, J.L., Coletti, H.A., Ballachey, B.E., Monson, D., Esler, D., and Dean, T.A., 2017, Variation in abundance of Pacific Blue Mussel (Mytilus trossulus) in the Northern Gulf of Alaska, 2006–2015: Deep Sea Research Part II: Topical Studies in Oceanography, v. 147, p. 87-97, https://doi.org/10.1016/j.dsr2.2017.04.008.","productDescription":"11 p.","startPage":"87","endPage":"97","ipdsId":"IP-079564","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":461363,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.dsr2.2017.04.008","text":"Publisher Index Page"},{"id":348052,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Gulf of Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -156.40136718749997,\n 56.80087831233043\n ],\n [\n -146.689453125,\n 56.80087831233043\n ],\n [\n -146.689453125,\n 61.01572481397616\n ],\n [\n -156.40136718749997,\n 61.01572481397616\n ],\n [\n -156.40136718749997,\n 56.80087831233043\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"147","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59fadd19e4b0531197b13c48","contributors":{"authors":[{"text":"Bodkin, James L. 0000-0003-1641-4438 jbodkin@usgs.gov","orcid":"https://orcid.org/0000-0003-1641-4438","contributorId":748,"corporation":false,"usgs":true,"family":"Bodkin","given":"James","email":"jbodkin@usgs.gov","middleInitial":"L.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":718995,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coletti, Heather A.","contributorId":187561,"corporation":false,"usgs":false,"family":"Coletti","given":"Heather","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":718996,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ballachey, Brenda E. 0000-0003-1855-9171 bballachey@usgs.gov","orcid":"https://orcid.org/0000-0003-1855-9171","contributorId":2966,"corporation":false,"usgs":true,"family":"Ballachey","given":"Brenda","email":"bballachey@usgs.gov","middleInitial":"E.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":718997,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Monson, Daniel 0000-0002-4593-5673 dmonson@usgs.gov","orcid":"https://orcid.org/0000-0002-4593-5673","contributorId":196670,"corporation":false,"usgs":true,"family":"Monson","given":"Daniel","email":"dmonson@usgs.gov","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":718998,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Esler, Daniel 0000-0001-5501-4555 desler@usgs.gov","orcid":"https://orcid.org/0000-0001-5501-4555","contributorId":5465,"corporation":false,"usgs":true,"family":"Esler","given":"Daniel","email":"desler@usgs.gov","affiliations":[{"id":12437,"text":"Simon Fraser University, Centre for Wildlife Ecology","active":true,"usgs":false},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":718994,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dean, Thomas A.","contributorId":187562,"corporation":false,"usgs":false,"family":"Dean","given":"Thomas","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":718999,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70193545,"text":"70193545 - 2017 - Refined conservation strategies for Golden-winged Warblers in the West Virginia highlands with implications for the broader avian community","interactions":[],"lastModifiedDate":"2017-11-14T13:08:41","indexId":"70193545","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3551,"text":"The Condor","active":true,"publicationSubtype":{"id":10}},"title":"Refined conservation strategies for Golden-winged Warblers in the West Virginia highlands with implications for the broader avian community","docAbstract":"Golden-winged Warbler (Vermivora chrysoptera) populations in the Appalachian Mountains region of North America are imperiled, warranting species-specific conservation. However, management for Golden-winged Warblers can affect both early-successional and forest species, many of which are also declining in the region. We conducted point counts in sites representing a range of successional stages within the Golden-winged Warbler's breeding range in West Virginia, USA, during 2008–2015. We identified plausible models of Golden-winged Warbler density using covariates at 4 spatial scales representing annual dispersal (5-km radius), extraterritorial movement (1.5-km radius), intraterritorial movement (100-m radius), and local resource utilization (11.3-m radius). Golden-winged Warbler density peaked at an intermediate elevation at the 1.5-km radius scale, but was negatively associated with 100-m radius minimum elevation. Density was positively associated with 100-m radius shrubland cover. Southerly latitudes were associated with higher densities when modeled alone, but there was no association when controlling for other covariates. We then examined the relationship between covariates from these plausible models and avian community structure using canonical correspondence analysis to assess the value of Golden-winged Warbler conservation for the broader avian community. We identified 5 species likely to benefit from management for Golden-winged Warblers and 21 species likely to be affected positively or negatively to varying degrees depending on their affinity for early-successional vegetation communities. Golden-winged Warblers were plotted higher along the 100-m shrubland cover gradient than any other bird species, suggesting that they may be the most shrubland area–sensitive songbird in our study area. However, the species also requires heavily forested landscapes. Therefore, a species-specific conservation strategy that balances shrubland (patches of 9–13 ha in size, comprising 15% of the landscape) and contiguous forest area (≥75% of the landscape) could concurrently meet the needs of Golden-winged Warblers and the 26 other species identified.
","language":"English","publisher":"American Ornithological Society","doi":"10.1650/CONDOR-17-49.1","usgsCitation":"Aldinger, K.R., Wood, P.B., and Johnson, C.M., 2017, Refined conservation strategies for Golden-winged Warblers in the West Virginia highlands with implications for the broader avian community: The Condor, v. 119, no. 4, p. 762-786, https://doi.org/10.1650/CONDOR-17-49.1.","productDescription":"25 p.","startPage":"762","endPage":"786","ipdsId":"IP-085074","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":469358,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1650/condor-17-49.1","text":"Publisher Index Page"},{"id":348822,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"West Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.8868408203125,\n 37.470498470798724\n ],\n [\n -78.9697265625,\n 37.470498470798724\n ],\n [\n -78.9697265625,\n 39.71986348549764\n ],\n [\n -80.8868408203125,\n 39.71986348549764\n ],\n [\n -80.8868408203125,\n 37.470498470798724\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"119","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fb22e4b06e28e9c22d1a","contributors":{"authors":[{"text":"Aldinger, Kyle R.","contributorId":171892,"corporation":false,"usgs":false,"family":"Aldinger","given":"Kyle","email":"","middleInitial":"R.","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false},{"id":34541,"text":"West Virginia Cooperative Fish and Wildlife Research Unit","active":true,"usgs":false}],"preferred":false,"id":719321,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wood, Petra B. 0000-0002-8575-1705 pbwood@usgs.gov","orcid":"https://orcid.org/0000-0002-8575-1705","contributorId":199090,"corporation":false,"usgs":true,"family":"Wood","given":"Petra","email":"pbwood@usgs.gov","middleInitial":"B.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719320,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Catherine M.","contributorId":53939,"corporation":false,"usgs":true,"family":"Johnson","given":"Catherine","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":719322,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70193415,"text":"70193415 - 2017 - Predicting outcomes of restored Everglades high flow: A model system for scientifically managed floodplains","interactions":[],"lastModifiedDate":"2017-11-01T13:09:16","indexId":"70193415","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Predicting outcomes of restored Everglades high flow: A model system for scientifically managed floodplains","docAbstract":"Restoration of higher flows through the Everglades is intended to reestablish sheetflow to rebuild a well-functioning ridge and slough landscape that supports a productive and diverse ecosystem. Our objective of the study was to use hydrologic simulations and biophysical analysis to predict restoration outcomes for five major subbasins of the Everglades. Five different scenarios of restoration were examined, and for each we predicted an outcome based on metrics describing the present-day condition of the landscape and additional metrics determined by modeling the hydrologic changes accompanying restoration. Restoration scenarios spanned from a baseline case with average annual flows of about 52% of the predrainage flow to the most aggressive scenario that permits 91% of the predrainage flow. Our predictions indicated that all restoration scenarios could benefit the functionality of the ridge-slough ecosystem. However, the difference between any single restoration scenario and the “no restoration” baseline was far greater than was the difference between any two levels of restoration. Interestingly, our analysis suggested that the most extensive (and highest cost) restoration scenarios are not likely to improve ridge and slough function more than less extensive restoration options. However, the value of more aggressive restoration may lie in factors not considered directly in our analysis. For example, an important reason to implement the more aggressive restoration scenarios could be additional flexibility that permitting greater flow allows for adaptively managing the ecosystem while also serving water needs for southeastern Florida in what could be a drier Everglades in the coming decades.","language":"English","publisher":"Wiley","doi":"10.1111/rec.12479","usgsCitation":"Choi, J., and Harvey, J., 2017, Predicting outcomes of restored Everglades high flow: A model system for scientifically managed floodplains: Restoration Ecology, v. 25, no. S1, p. S39-S47, https://doi.org/10.1111/rec.12479.","productDescription":"9 p.","startPage":"S39","endPage":"S47","ipdsId":"IP-079752","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":348010,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades","volume":"25","issue":"S1","publicComments":"Special issue: Synthesis of Everglades Research and Ecosystem Services (SERES) project","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-22","publicationStatus":"PW","scienceBaseUri":"59fadd1ae4b0531197b13c4d","contributors":{"authors":[{"text":"Choi, Jay jchoi@usgs.gov","contributorId":4731,"corporation":false,"usgs":true,"family":"Choi","given":"Jay","email":"jchoi@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":718966,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harvey, Judson 0000-0002-2654-9873 jwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2654-9873","contributorId":140228,"corporation":false,"usgs":true,"family":"Harvey","given":"Judson","email":"jwharvey@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":false,"id":718967,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70193280,"text":"70193280 - 2017 - Drivers and environmental responses to the changing annual snow cycle of northern Alaska","interactions":[],"lastModifiedDate":"2018-01-05T14:18:35","indexId":"70193280","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1112,"text":"Bulletin of the American Meteorological Society","onlineIssn":"1520-0477","printIssn":"0003-0007","active":true,"publicationSubtype":{"id":10}},"title":"Drivers and environmental responses to the changing annual snow cycle of northern Alaska","docAbstract":"On the North Slope of Alaska, earlier spring snowmelt and later onset of autumn snow accumulation are tied to atmospheric dynamics and sea ice conditions, and result in environmental responses.
Linkages between atmospheric, ecological and biogeochemical variables in the changing Arctic are analyzed using long-term measurements near Utqiaġvik (formerly Barrow), Alaska. Two key variables are the date when snow disappears in spring, as determined primarily by atmospheric dynamics, precipitation, air temperature, winter snow accumulation and cloud cover, as well as the date of onset of snowpack in autumn that is additionally influenced by ocean temperature and sea ice extent. In 2015 and 2016 the snow melted early at Utqiaġvik due mainly to anomalous warmth during May of both years attributed to atmospheric circulation patterns, with 2016 having the record earliest snowmelt. These years are discussed in the context of a 115-year snowmelt record at Utqiaġvik with a trend toward earlier melting since the mid- 1970s (-2.86 days/decade, 1975-2016). At nearby Cooper Island, where a colony of seabirds, Black Guillemots, have been monitored since 1975, timing of egg laying is correlated with Utqiaġvik snowmelt with 2015 and 2016 being the earliest years in the 42-year record. Ice-out at a nearby freshwater lagoon is also correlated with Utqiaġvik snowmelt. The date when snow begins to accumulate in autumn at Utqiaġvik shows a trend towards later dates (+4.6 days/decade, 1975-2016), with 2016 the latest on record. The relationships between the lengthening snow-free season and regional phenology, soil temperatures, fluxes of gases from the tundra, and to regional sea ice conditions are discussed. Better understanding of these interactions is needed to predict the annual snow cycles in the region at seasonal to decadal scales, and to anticipate coupled environmental responses.
Gold tegus, Tupinambis teguixin (Linnaeus, 1758), are generalist predators from South America and are ecologically similar to Argentine black and white tegus (Salvator merianae), a successful invader in Florida. We trapped gold tegus in Broward and Miami-Dade counties, Florida, USA. In Miami-Dade County, collection occurred from 2008 through 2016. We combined new trapping records with previous literature records. Ten gold tegus of both sexes and multiple size classes over a nine year period indicate a reproducing population in Miami-Dade County. Tupinambis teguixin is the sixth established non-native teiid species in Florida. Additionally, we report Tupinambis teguixin from Sarasota and Lee counties, Florida, USA. Determining population status in those counties requires further study. It is critical to differentiate this species fromSalvator merianae during removal efforts. The possibility of eradicating Tupinambis teguixin exists if proper identification enables reliable monitoring of the populations.
","language":"English","publisher":"REABIC","doi":"10.3391/bir.2017.6.4.16","usgsCitation":"Edwards, J.R., Ketterlin, J.K., Rochford, M.R., Irwin, R., Krysko, K.L., Duquesnel, J., Mazzotti, F., and Reed, R., 2017, The gold tegu, Tupinambis teguixin (Linnaeus, 1758) sensu lato (Squamata: Teiidae): evidence for an established population in Florida: BioInvasions Records, v. 6, no. 4, p. 407-410, https://doi.org/10.3391/bir.2017.6.4.16.","productDescription":"4 p.","startPage":"407","endPage":"410","ipdsId":"IP-086857","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":461359,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3391/bir.2017.6.4.16","text":"Publisher Index Page"},{"id":349286,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -82.760009765625,\n 24.956180020055925\n ],\n [\n -79.837646484375,\n 24.956180020055925\n ],\n [\n -79.837646484375,\n 27.49852672279832\n ],\n [\n -82.760009765625,\n 27.49852672279832\n ],\n [\n -82.760009765625,\n 24.956180020055925\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"6","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fb21e4b06e28e9c22d0a","contributors":{"authors":[{"text":"Edwards, Jake R.","contributorId":200643,"corporation":false,"usgs":false,"family":"Edwards","given":"Jake","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":722959,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ketterlin, Jennifer K.","contributorId":200785,"corporation":false,"usgs":false,"family":"Ketterlin","given":"Jennifer","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":722960,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rochford, Michael R.","contributorId":200644,"corporation":false,"usgs":false,"family":"Rochford","given":"Michael","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":722961,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Irwin, Rodney","contributorId":200645,"corporation":false,"usgs":false,"family":"Irwin","given":"Rodney","email":"","affiliations":[],"preferred":false,"id":722962,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Krysko, Kenneth L.","contributorId":200646,"corporation":false,"usgs":false,"family":"Krysko","given":"Kenneth","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":722963,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Duquesnel, James G.","contributorId":172802,"corporation":false,"usgs":false,"family":"Duquesnel","given":"James G.","affiliations":[],"preferred":false,"id":722964,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mazzotti, Frank J.","contributorId":12358,"corporation":false,"usgs":false,"family":"Mazzotti","given":"Frank J.","affiliations":[{"id":12604,"text":"Department of Wildlife Ecology and Conservation, Fort Lauderdale Research and Education Center, 3205 College Avenue, University of Florida, Davie, FL 33314, USA","active":true,"usgs":false}],"preferred":false,"id":722965,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Reed, Robert 0000-0001-8349-6168 reedr@usgs.gov","orcid":"https://orcid.org/0000-0001-8349-6168","contributorId":152301,"corporation":false,"usgs":true,"family":"Reed","given":"Robert","email":"reedr@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":722958,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70193022,"text":"70193022 - 2017 - Tools to minimize interlaboratory variability in vitellogenin gene expression monitoring programs","interactions":[],"lastModifiedDate":"2017-11-07T12:15:19","indexId":"70193022","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Tools to minimize interlaboratory variability in vitellogenin gene expression monitoring programs","docAbstract":"The egg yolk precursor protein vitellogenin is widely used as a biomarker of estrogen exposure in male fish. However, standardized methodology is lacking and little is known regarding the reproducibility of results among laboratories using different equipment, reagents, protocols, and data analysis programs. To address this data gap we tested the reproducibility across laboratories to evaluate vitellogenin gene (vtg) expression and assessed the value of using a freely available software data analysis program. Samples collected from studies of male fathead minnows (Pimephales promelas) exposed to 17α-ethinylestradiol (EE2) and minnows exposed to processed wastewater effluent were evaluated for vtg expression in 4 laboratories. Our results indicate reasonable consistency among laboratories if the free software for expression analysis LinRegPCR is used, with 3 of 4 laboratories detecting vtg in fish exposed to 5 ng/L EE2 (n = 5). All 4 laboratories detected significantly increased vtg levels in 15 male fish exposed to wastewater effluent compared with 15 male fish held in a control stream. Finally, we were able to determine that the source of high interlaboratory variability from complementary deoxyribonucleic acid (cDNA) to quantitative polymerase chain reaction (qPCR) analyses was the expression analysis software unique to each real-time qPCR machine. We successfully eliminated the interlaboratory variability by reanalyzing raw fluorescence data with independent freeware, which yielded cycle thresholds and polymerase chain reaction (PCR) efficiencies that calculated results independently of proprietary software. Our results suggest that laboratories engaged in monitoring programs should validate their PCR protocols and analyze their gene expression data following the guidelines established in the present study for all gene expression biomarkers.
","language":"English","publisher":"Society of Environmental Toxicology and Chemistry","doi":"10.1002/etc.3885","usgsCitation":"Jastrow, A., Gordon, D.A., Auger, K.M., Punska, E.C., Arcaro, K.F., Keteles, K., Winkelman, D.L., Lattier, D., Biales, A., and Lazorchak, J.M., 2017, Tools to minimize interlaboratory variability in vitellogenin gene expression monitoring programs: Environmental Toxicology and Chemistry, v. 36, no. 1, p. 3102-3107, https://doi.org/10.1002/etc.3885.","productDescription":"6 p.","startPage":"3102","endPage":"3107","ipdsId":"IP-080787","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":469366,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5894818","text":"External Repository"},{"id":348367,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-20","publicationStatus":"PW","scienceBaseUri":"5a07e84be4b09af898c8cb42","contributors":{"authors":[{"text":"Jastrow, Aaron","contributorId":200067,"corporation":false,"usgs":false,"family":"Jastrow","given":"Aaron","affiliations":[],"preferred":false,"id":720892,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gordon, Denise A.","contributorId":200068,"corporation":false,"usgs":false,"family":"Gordon","given":"Denise","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":720893,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Auger, Kasie M.","contributorId":200069,"corporation":false,"usgs":false,"family":"Auger","given":"Kasie","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":720894,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Punska, Elizabeth C.","contributorId":200070,"corporation":false,"usgs":false,"family":"Punska","given":"Elizabeth","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":720895,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Arcaro, Kathleen F.","contributorId":200071,"corporation":false,"usgs":false,"family":"Arcaro","given":"Kathleen","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":720896,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Keteles, Kristen","contributorId":200072,"corporation":false,"usgs":false,"family":"Keteles","given":"Kristen","email":"","affiliations":[],"preferred":false,"id":720897,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Winkelman, Dana L. 0000-0002-5247-0114 danaw@usgs.gov","orcid":"https://orcid.org/0000-0002-5247-0114","contributorId":4141,"corporation":false,"usgs":true,"family":"Winkelman","given":"Dana","email":"danaw@usgs.gov","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":717677,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lattier, David","contributorId":200073,"corporation":false,"usgs":false,"family":"Lattier","given":"David","email":"","affiliations":[],"preferred":false,"id":720898,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Biales, Adam","contributorId":200074,"corporation":false,"usgs":false,"family":"Biales","given":"Adam","email":"","affiliations":[],"preferred":false,"id":720899,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Lazorchak, James M.","contributorId":14750,"corporation":false,"usgs":true,"family":"Lazorchak","given":"James","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":720900,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70196515,"text":"70196515 - 2017 - Organic chemical characterization and mass balance of a hydraulically fractured well: From fracturing fluid to produced water over 405 days","interactions":[],"lastModifiedDate":"2018-04-12T16:04:25","indexId":"70196515","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Organic chemical characterization and mass balance of a hydraulically fractured well: From fracturing fluid to produced water over 405 days","docAbstract":"A long-term field study (405 days) of a hydraulically fractured well from the Niobrara Formation in the Denver-Julesburg Basin was completed. Characterization of organic chemicals used in hydraulic fracturing and their changes through time, from the preinjected fracturing fluid to the produced water, was conducted. The characterization consisted of a mass balance by dissolved organic carbon (DOC), volatile organic analysis by gas chromatography/mass spectrometry, and nonvolatile organic analysis by liquid chromatography/mass spectrometry. DOC decreased from 1500 mg/L in initial flowback to 200 mg/L in the final produced water. Only ∼11% of the injected DOC returned by the end of the study, with this 11% representing a maximum fraction returned since the formation itself contributes DOC. Furthermore, the majority of returning DOC was of the hydrophilic fraction (60–85%). Volatile organic compound analysis revealed substantial concentrations of individual BTEX compounds (0.1–11 mg/L) over the 405-day study. Nonvolatile organic compounds identified were polyethylene glycols (PEGs), polypropylene glycols (PPG), linear alkyl-ethoxylates, and triisopropanolamine (TIPA). The distribution of PEGs, PPGs, and TIPA and their ubiquitous presence in our samples and the literature illustrate their potential as organic tracers for treatment operations or in the event of an environmental spill.
","language":"English","publisher":"ACS","doi":"10.1021/acs.est.7b03362","usgsCitation":"Rosenblum, J., Thurman, E.M., Ferrer, I., Aiken, G.R., and Linden, K.G., 2017, Organic chemical characterization and mass balance of a hydraulically fractured well: From fracturing fluid to produced water over 405 days: Environmental Science & Technology, v. 51, no. 23, p. 14006-14015, https://doi.org/10.1021/acs.est.7b03362.","productDescription":"10 p.","startPage":"14006","endPage":"14015","ipdsId":"IP-090640","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":353385,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"51","issue":"23","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-22","publicationStatus":"PW","scienceBaseUri":"5afee7c6e4b0da30c1bfc36e","contributors":{"authors":[{"text":"Rosenblum, James","contributorId":204203,"corporation":false,"usgs":false,"family":"Rosenblum","given":"James","email":"","affiliations":[{"id":30224,"text":"Univeristy of Colorado Boulder","active":true,"usgs":false}],"preferred":false,"id":733354,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thurman, E. Michael","contributorId":9636,"corporation":false,"usgs":true,"family":"Thurman","given":"E.","email":"","middleInitial":"Michael","affiliations":[],"preferred":false,"id":733355,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ferrer, Imma","contributorId":169362,"corporation":false,"usgs":false,"family":"Ferrer","given":"Imma","email":"","affiliations":[{"id":25480,"text":"Univ of Colorado, Boulder","active":true,"usgs":false}],"preferred":false,"id":733356,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Aiken, George R. 0000-0001-8454-0984 graiken@usgs.gov","orcid":"https://orcid.org/0000-0001-8454-0984","contributorId":1322,"corporation":false,"usgs":true,"family":"Aiken","given":"George","email":"graiken@usgs.gov","middleInitial":"R.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":733353,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Linden, Karl G.","contributorId":194690,"corporation":false,"usgs":false,"family":"Linden","given":"Karl","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":733357,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70192684,"text":"70192684 - 2017 - Breeding biology of an endemic Bornean turdid, the Fruithunter (Chlamydochaera jefferyi), and life history comparisons with Turdus species of the world","interactions":[],"lastModifiedDate":"2017-11-06T15:47:49","indexId":"70192684","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3784,"text":"Wilson Journal of Ornithology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Breeding biology of an endemic Bornean turdid, the Fruithunter (Chlamydochaera jefferyi), and life history comparisons with Turdus species of the world","title":"Breeding biology of an endemic Bornean turdid, the Fruithunter (Chlamydochaera jefferyi), and life history comparisons with Turdus species of the world","docAbstract":"We present the first description of the breeding biology for the Fruithunter (Chlamydochaera jefferyi), a member of the cosmopolitan family Turdidae, and a montane endemic to the tropical Asian island of Borneo. We also compile breeding biology traits from the literature to make comparisons between the Fruithunter and the thrush genus Turdus. Our comparisons indicate that Fruithunters exhibit a slower life history strategy than both tropical and north temperate Turdus. We located and monitored 42 nests in 7 years in Kinabalu Park, Sabah, Malaysia. The mean clutch size was 1.89 ± 0.08 eggs, and the modal clutch size was 2 eggs. Mean fresh egg mass was 6.15 ± 0.13 g, representing 9.5% of adult female body mass. Average lengths of incubation and nestling periods were 14.56 ± 0.24 and 17.83 ± 0.31 days respectively. Only the female incubated and brooded the eggs and nestlings, but both the male and female fed nestlings. Female attentiveness during incubation was high throughout, reaching an asymptote around 85% with average on-bouts of 39.0 ± 2.5 mins. The daily nest survival probability was 0.951 ± 0.025, and the daily predation rate was 0.045 ± 0.024. Female feeding rate increased as brooding effort decreased, suggesting that female feeding rate may be constrained by the need to provide heat while nestlings are unable to thermoregulate. This contrasts with the feeding behavior of males, which showed much less of an increase across the nestling period. Furthermore, we describe a new vocalization which expands the vocal repertoire for Fruithunters, and we provide a brief audio clip and spectrogram.
","language":"English","publisher":"The Wilson Ornithological Society","doi":"10.1676/1559-4491-129.1.36","usgsCitation":"Mitchell, A.E., Tuh, F., and Martin, T.E., 2017, Breeding biology of an endemic Bornean turdid, the Fruithunter (Chlamydochaera jefferyi), and life history comparisons with Turdus species of the world: Wilson Journal of Ornithology, v. 129, no. 1, p. 36-45, https://doi.org/10.1676/1559-4491-129.1.36.","productDescription":"10 p.","startPage":"36","endPage":"45","ipdsId":"IP-073118","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":348303,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"129","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a07e84de4b09af898c8cb4a","contributors":{"authors":[{"text":"Mitchell, Adam E.","contributorId":166758,"corporation":false,"usgs":false,"family":"Mitchell","given":"Adam","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":720753,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tuh, Fred","contributorId":200036,"corporation":false,"usgs":false,"family":"Tuh","given":"Fred","email":"","affiliations":[],"preferred":false,"id":720754,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Martin, Thomas E. 0000-0002-4028-4867 tmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-4028-4867","contributorId":1208,"corporation":false,"usgs":true,"family":"Martin","given":"Thomas","email":"tmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":716713,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ]}