Before the 2018 collapse of the summit of Kīlauea volcano, a ca. 200 m in diameter lava lake inside of Halema‘uma‘u crater was embedded in a very active hydrothermal system. In 2015, we carried out an electrical conductivity survey and the data were inverted in 3D. The lack of conductivity contrast precludes distinguishing the lava column from the surrounding hydrothermal zones. Laboratory measurements on samples from the lava lake show that the conductivity of magma is significantly lower than that of hydrothermal zones but the high vesicularity of the upper part of the lava lake may decrease its macroscopic conductivity. Based on the 3D conductivity model, we distinguish at least two types of hydrothermal circulations: 1) one guided by the collapse faults of Halema‘uma‘u crater and by the magmatic column of the lava lake, and 2) another guided by previous caldera faults and fractures related to intrusions. We observe that the location of the faults formed during the 2018 collapse of the summit was greatly influenced by the hydrothermally altered zones.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2019.06.001","usgsCitation":"Gailler, L., Kauahikaua, J.P., Lenat, J., Revil, A., Gresse, M., Ahmed, A.S., Cluzel, N., Manthilake, G., Gurioli, L., Johnson, T.B., Finizola, A., and Delcher, E., 2019, 3D electrical conductivity imaging of Halema‘uma‘u lava lake (Kīlauea volcano): Journal of Volcanology and Geothermal Research, v. 381, p. 185-192, https://doi.org/10.1016/j.jvolgeores.2019.06.001.","productDescription":"8 p.","startPage":"185","endPage":"192","ipdsId":"IP-094105","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":467543,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jvolgeores.2019.06.001","text":"Publisher Index Page"},{"id":367008,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kilauea Volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.30402183532715,\n 19.388238642115578\n ],\n [\n -155.23415565490723,\n 19.388238642115578\n ],\n [\n -155.23415565490723,\n 19.433652713875333\n ],\n [\n -155.30402183532715,\n 19.433652713875333\n ],\n [\n -155.30402183532715,\n 19.388238642115578\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"381","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gailler, Lydie 0000-0002-8132-2428","orcid":"https://orcid.org/0000-0002-8132-2428","contributorId":192584,"corporation":false,"usgs":false,"family":"Gailler","given":"Lydie","email":"","affiliations":[],"preferred":false,"id":769509,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kauahikaua, James P. 0000-0003-3777-503X jimk@usgs.gov","orcid":"https://orcid.org/0000-0003-3777-503X","contributorId":2146,"corporation":false,"usgs":true,"family":"Kauahikaua","given":"James","email":"jimk@usgs.gov","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":769520,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lenat, Jean-Francois 0000-0002-4828-9013","orcid":"https://orcid.org/0000-0002-4828-9013","contributorId":218534,"corporation":false,"usgs":false,"family":"Lenat","given":"Jean-Francois","email":"","affiliations":[{"id":39864,"text":"Laboratoire Magmas et Volcans, Université Blaise Pascal","active":true,"usgs":false}],"preferred":false,"id":769510,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Revil, Andre","contributorId":218535,"corporation":false,"usgs":false,"family":"Revil","given":"Andre","email":"","affiliations":[{"id":39864,"text":"Laboratoire Magmas et Volcans, Université Blaise Pascal","active":true,"usgs":false}],"preferred":false,"id":769511,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gresse, Marceau 0000-0002-3937-3280","orcid":"https://orcid.org/0000-0002-3937-3280","contributorId":218536,"corporation":false,"usgs":false,"family":"Gresse","given":"Marceau","email":"","affiliations":[{"id":39865,"text":"Earthquake Research Institute, University of Tokyo, Tokyo, Japan","active":true,"usgs":false}],"preferred":false,"id":769512,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ahmed, Abdellahi Soueid 0000-0002-4279-0093","orcid":"https://orcid.org/0000-0002-4279-0093","contributorId":218537,"corporation":false,"usgs":false,"family":"Ahmed","given":"Abdellahi","email":"","middleInitial":"Soueid","affiliations":[{"id":39866,"text":"Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, IRD, IFSTTAR, ISTerre, 38000 10 Grenoble, France","active":true,"usgs":false}],"preferred":false,"id":769513,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cluzel, Nicolas 0000-0002-2171-8789","orcid":"https://orcid.org/0000-0002-2171-8789","contributorId":218538,"corporation":false,"usgs":false,"family":"Cluzel","given":"Nicolas","email":"","affiliations":[{"id":39864,"text":"Laboratoire Magmas et Volcans, Université Blaise Pascal","active":true,"usgs":false}],"preferred":false,"id":769514,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Manthilake, Geeth 0000-0001-8161-081X","orcid":"https://orcid.org/0000-0001-8161-081X","contributorId":218539,"corporation":false,"usgs":false,"family":"Manthilake","given":"Geeth","email":"","affiliations":[{"id":39864,"text":"Laboratoire Magmas et Volcans, Université Blaise Pascal","active":true,"usgs":false}],"preferred":false,"id":769515,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Gurioli, Lucia","contributorId":218540,"corporation":false,"usgs":false,"family":"Gurioli","given":"Lucia","email":"","affiliations":[{"id":39864,"text":"Laboratoire Magmas et Volcans, Université Blaise Pascal","active":true,"usgs":false}],"preferred":false,"id":769516,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Johnson, Tim B.","contributorId":127336,"corporation":false,"usgs":false,"family":"Johnson","given":"Tim","email":"","middleInitial":"B.","affiliations":[{"id":6780,"text":"Ontario Ministry of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":769517,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Finizola, Anthony","contributorId":190922,"corporation":false,"usgs":false,"family":"Finizola","given":"Anthony","email":"","affiliations":[],"preferred":false,"id":769518,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Delcher, Eric 0000-0001-6671-7133","orcid":"https://orcid.org/0000-0001-6671-7133","contributorId":218541,"corporation":false,"usgs":false,"family":"Delcher","given":"Eric","email":"","affiliations":[{"id":39867,"text":"Laboratoire GéoSciences Réunion, Université de la Réunion, IPGP, Sorbonne Paris-Cité, 14 CNRS UMR 7154, 15 Avenue René Cassin, CS 92003, 97744 Saint-Denis, La Réunion, France","active":true,"usgs":false}],"preferred":false,"id":769519,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70203834,"text":"70203834 - 2019 - Microbiomes of stony and soft deep-sea corals share rare core bacteria","interactions":[],"lastModifiedDate":"2019-08-15T12:15:32","indexId":"70203834","displayToPublicDate":"2019-06-10T11:17:06","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5838,"text":"Microbiome","onlineIssn":"2049-2618","active":true,"publicationSubtype":{"id":10}},"title":"Microbiomes of stony and soft deep-sea corals share rare core bacteria","docAbstract":"Background: Numerous studies have shown that bacteria form stable associations with host corals and have focused on identifying conserved “core microbiomes” of bacterial associates inferred to be serving key roles in the coral holobiont. Because studies tend to focus on only stony corals (order Scleractinia) or soft corals (order Alcyonacea), it is currently unknown if there are conserved bacteria that are shared by both. A meta-analysis was done of 16S rRNA amplicon data from multiple studies generated via identical methodology to allow direct comparisons of bacterial associates across seven deep-sea corals, including both stony and soft species: Anthothela grandiflora, Anthothela sp., Lateothela grandiflora, Lophelia pertusa, Paramuricea placomus, Primnoa pacifica, and Primnoa resedaeformis.
Results: Twenty-three operational taxonomic units (OTUs) were consistently present in greater than 50% of the coral samples. Seven amplicon sequence variants (ASVs), five of which corresponded to a conserved OTU, were consistently present in greater than 30% of the coral samples including five or greater coral species. A majority of the conserved sequences had close matches with previously identified coral-associated bacteria. While known to dominate tropical and temperate coral microbiomes, Endozoicomonas were extremely rare or absent from these deep-sea corals. An Endozoicomonas OTU associated with Lo. pertusa in this study was most similar to those from shallow-water stony corals, while an OTU associated with Anthothela spp. was most similar to those from shallow-water gorgonians.
Conclusions: Bacterial sequences have been identified that are conserved at the level of class Anthozoa (i.e., found in both stony and soft corals, shallow and deep). These bacterial associates are therefore hypothesized to play important symbiotic roles and are highlighted for targeted future study. These conserved bacterial associates include taxa with the potential for nitrogen and sulfur cycling, detoxification, and hydrocarbon degradation. There is also some overlap with kit contaminants that need to be resolved. Rarely detected Endozoicomonas sequences are partitioned by whether the host is a stony coral or a soft coral, and the finer clustering pattern reflects the hosts’ phylogeny.
","language":"English","publisher":"BMC","doi":"10.1186/s40168-019-0697-3","usgsCitation":"Kellogg, C.A., 2019, Microbiomes of stony and soft deep-sea corals share rare core bacteria: Microbiome, v. 7, 90, 13p., https://doi.org/10.1186/s40168-019-0697-3.","productDescription":"90, 13p.","ipdsId":"IP-097775","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":467544,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40168-019-0697-3","text":"Publisher Index Page"},{"id":364731,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2019-06-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Kellogg, Christina A. 0000-0002-6492-9455 ckellogg@usgs.gov","orcid":"https://orcid.org/0000-0002-6492-9455","contributorId":391,"corporation":false,"usgs":true,"family":"Kellogg","given":"Christina","email":"ckellogg@usgs.gov","middleInitial":"A.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"preferred":true,"id":764335,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70203933,"text":"70203933 - 2019 - Community-based conservation and recovery of native species on Monuriki Island, Fiji","interactions":[],"lastModifiedDate":"2019-06-25T11:04:31","indexId":"70203933","displayToPublicDate":"2019-06-10T11:04:19","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Community-based conservation and recovery of native species on Monuriki Island, Fiji","docAbstract":"The small uninhabited island of Monuriki (40.4 ha) in western Fiji is of national and international conservation concern for its several protected species. Exotic invasive species and a Category 5 cyclone have exacerbated conservation challenges. The cooperation of local, national, and international stakeholders continues to be crucial in restoration of the island’s native flora and fauna. This summary presents a timeline of restoration efforts and current status of the recovery\nprogramme for Monuriki. The critically endangered dry forest habitat of Fiji is only found in a few isolated patches on disparate islands. The Fijian crested iguana (Brachylophus cf. vitiensis) is a critically endangered species restricted to a few small islands in this dry forest zone of western Fiji. The population of crested iguanas on Monuriki Island is the third largest remaining population. Even before iguanas were first documented on the island in the early 1980s, individuals had been removed by local resorts for display purposes, a practice that was previously unregulated. In the late 1990s, the first efforts to conserve and restore Monuriki Island were discussed, but conservation initiatives were not implemented until the development of the Crested Iguana Recovery Plan in 2008. In 2011, domestic goats (Capra hircus) and non-native rats (Rattus exulans) were removed from the island, and 10 pairs of iguanas were brought into captive breeding facilities within Fiji. In 2015, the first 32 captive-bred crested iguanas were released back on Monuriki Island. More than half of these iguanas (N=26) were radio-tracked for 56 days post-release in order to assess survivorship and help provide insights\ninto their short-term movement patterns. Of the 26 iguanas that were tracked, nearly 70% (N=18) were found after 56 days indicating excellent short-term survival. In February 2016, Tropical Cyclone Winston, a Category 5 storm passed through Fiji and devastated some of the tropical dry forest habitat on Monuriki. With sustained winds of up to 230 km/ hr nearly all of the canopy leaves from trees on Monuriki Island were removed and large amounts of debris covered the forest floor. Following the cyclone, a brief wildlife survey revealed Monuriki’s iguana and bird populations were still present. In 2017, the crested iguana captive breeding programme was brought to an end when 16 of the original 20 iguana founders, and an additional 32 captive bred off spring, were reintroduced onto Monuriki. This was accomplished, in part, due to successful breeding and reestablishment of the remaining wild iguanas on the island. Despite a major storm event, reestablishment likely resulted from reduced egg and hatchling predation by the rats, and excellent habitat recovery after goat removal. Overall these invasive species eradications have proven highly successful for the recovery of the iguanas, wedge-tailed shearwaters (Puffi nus pacifi cus), and several other non-target species including the banded rail (Gallirallus philippensis) and endangered Fijian peregrine falcon (Falco peregrinus). Furthermore, eradication of non-native species has also helped the recovery of the highly threatened tropical dry forest ecosystem in which these species exist.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Island invasives : scaling up to meet the challenge. Proceedings of the international conference on island invasives 2017","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"International Conference on Island Invasives","conferenceDate":"July 10-14, 2017","conferenceLocation":"Dundee, Scotland","language":"English","publisher":"International Union for Conservation of Nature","doi":"10.2305/IUCN.CH.2019.SSC-OP.62.en","usgsCitation":"Fisher, R.N., Niukula, J., Harlow, P.S., Rasalato, S., Chand, R., Thaman, B., Seniloli, E., Vadada, J., Cranwell, S., Brown, J.J., Lovich, K., and Thomas-Moko, N., 2019, Community-based conservation and recovery of native species on Monuriki Island, Fiji, in Island invasives : scaling up to meet the challenge. Proceedings of the international conference on island invasives 2017, Dundee, Scotland, July 10-14, 2017, p. 552-557, https://doi.org/10.2305/IUCN.CH.2019.SSC-OP.62.en.","productDescription":"6 p.","startPage":"552","endPage":"557","ipdsId":"IP-099007","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":467545,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.2305/iucn.ch.2019.ssc-op.62.en","text":"External Repository"},{"id":365007,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Fiji","otherGeospatial":"Monuriki island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 177.02755451202393,\n -17.613081152444575\n ],\n [\n 177.04285383224487,\n -17.613081152444575\n ],\n [\n 177.04285383224487,\n -17.604838900564843\n ],\n [\n 177.02755451202393,\n -17.604838900564843\n ],\n [\n 177.02755451202393,\n -17.613081152444575\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2019-03-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Fisher, Robert N. 0000-0002-2956-3240 rfisher@usgs.gov","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":1529,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert","email":"rfisher@usgs.gov","middleInitial":"N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":764822,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Niukula, Jone","contributorId":150083,"corporation":false,"usgs":false,"family":"Niukula","given":"Jone","affiliations":[{"id":17904,"text":"National Trust of Fiji Islands, Suva, Fiji","active":true,"usgs":false}],"preferred":false,"id":764823,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harlow, Peter S.","contributorId":150093,"corporation":false,"usgs":false,"family":"Harlow","given":"Peter","email":"","middleInitial":"S.","affiliations":[{"id":17909,"text":"Taronga Zoo, Mosman, NSW, Australia","active":true,"usgs":false}],"preferred":false,"id":764824,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rasalato, Sia","contributorId":150087,"corporation":false,"usgs":false,"family":"Rasalato","given":"Sia","affiliations":[{"id":17907,"text":"Birdlife Pacific, Suva, Fiji","active":true,"usgs":false}],"preferred":false,"id":764825,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chand, Ramesh","contributorId":150082,"corporation":false,"usgs":false,"family":"Chand","given":"Ramesh","email":"","affiliations":[{"id":17903,"text":"Kula Eco Park, Sigatoka Fiji","active":true,"usgs":false}],"preferred":false,"id":764826,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Thaman, Baravi","contributorId":150088,"corporation":false,"usgs":false,"family":"Thaman","given":"Baravi","email":"","affiliations":[{"id":17904,"text":"National Trust of Fiji Islands, Suva, Fiji","active":true,"usgs":false}],"preferred":false,"id":764827,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Seniloli, Elenoa","contributorId":150089,"corporation":false,"usgs":false,"family":"Seniloli","given":"Elenoa","email":"","affiliations":[{"id":17907,"text":"Birdlife Pacific, Suva, Fiji","active":true,"usgs":false}],"preferred":false,"id":764828,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Vadada, Joeli","contributorId":150084,"corporation":false,"usgs":false,"family":"Vadada","given":"Joeli","affiliations":[{"id":17904,"text":"National Trust of Fiji Islands, Suva, Fiji","active":true,"usgs":false}],"preferred":false,"id":764829,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Cranwell, Steve","contributorId":150091,"corporation":false,"usgs":false,"family":"Cranwell","given":"Steve","email":"","affiliations":[{"id":17907,"text":"Birdlife Pacific, Suva, Fiji","active":true,"usgs":false}],"preferred":false,"id":764830,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Brown, J. Jed","contributorId":174718,"corporation":false,"usgs":false,"family":"Brown","given":"J.","email":"","middleInitial":"Jed","affiliations":[],"preferred":false,"id":764831,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Lovich, Kim","contributorId":150085,"corporation":false,"usgs":false,"family":"Lovich","given":"Kim","email":"","affiliations":[{"id":17905,"text":"San Diego Zoo Global, San Diego, CA, USA","active":true,"usgs":false}],"preferred":false,"id":764832,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Thomas-Moko, Nunia","contributorId":198737,"corporation":false,"usgs":false,"family":"Thomas-Moko","given":"Nunia","email":"","affiliations":[],"preferred":false,"id":764833,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70203033,"text":"fs20193012 - 2019 - Assessment of tight-oil and tight-gas resources in the Junggar and Santanghu Basins of Northwestern China, 2018","interactions":[],"lastModifiedDate":"2019-06-11T08:07:25","indexId":"fs20193012","displayToPublicDate":"2019-06-10T11:00:00","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-3012","displayTitle":"Assessment of Tight-Oil and Tight-Gas Resources in the Junggar and Santanghu Basins of Northwestern China, 2018","title":"Assessment of tight-oil and tight-gas resources in the Junggar and Santanghu Basins of Northwestern China, 2018","docAbstract":"Using a geology-based assessment methodology, the U.S. Geological Survey estimated undiscovered, technically recoverable mean resources of 241 million barrels of tight oil and 10.1 trillion cubic feet of tight gas in the Junggar and Santanghu Basins of northwestern China.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20193012","usgsCitation":"Potter, C.J., Schenk, C.J., Mercier, T.J., Tennyson, M.E., Finn, T.M., Woodall, C.A., Leathers-Miller, H.M., Marra, K.R., Le, P.A., Drake, R.M., II, Brownfield, M.E., and Pitman, J.K., 2019, Assessment of tight-oil and tight-gas resources in the Junggar and Santanghu Basins of northwestern China, 2018: U.S. Geological Survey Fact Sheet 2019–3012, 2 p., https://doi.org/10.3133/fs20193012.","productDescription":"2 p.","onlineOnly":"N","ipdsId":"IP-103187","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":364485,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2019/3012/fs20193012.pdf","text":"Report","size":"512 kB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2019-3012"},{"id":364484,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2019/3012/coverthb.jpg"}],"country":"China, Kazakhstan, Mongolia, Russia","otherGeospatial":"Junggar Basin, Santanghu Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 79.9365234375,\n 42.47209690919285\n ],\n [\n 96.26220703125,\n 42.47209690919285\n ],\n [\n 96.26220703125,\n 49.224772722794825\n ],\n [\n 79.9365234375,\n 49.224772722794825\n ],\n [\n 79.9365234375,\n 42.47209690919285\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver, CO 80225-0046
Pollinators are an essential component of functioning and sustainable agroecosystems. Despite their critical economic and ecological role, wild and managed bees are declining throughout the United States and across the globe. Commercial beekeepers lost nearly 40.5% of their colonies in 2015–2016 and estimated wild bee abundance declined 23% between 2008 and 2013. These losses are due to a number of factors—including parasites, pesticides, and pathogens—but one key driver is the loss of habitat and floral resources necessary for pollinator survival. Here, we trace how land-use changes, and the policies and land management practices behind them, have played a role in diminishing floral resources and provide steps that can be taken to mitigate forage and habitat loss due to land-use changes. By addressing land-use changes and their drivers, considerable progress can be made toward mitigating bee declines and achieving national goals for pollinator health.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.landusepol.2019.05.024","usgsCitation":"Durant, J., and Otto, C., 2019, Feeling the sting? Addressing land-use changes can mitigate bee declines: Land Use Policy, v. 87, 104005, 8 p., https://doi.org/10.1016/j.landusepol.2019.05.024.","productDescription":"104005, 8 p.","ipdsId":"IP-101925","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":367064,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Alberta, Iowa, Manitoba, Minnesota, Montana, North Dakota, Saskatchewan, South Dakota","otherGeospatial":"Prairie Pothole Region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -93.4716796875,\n 42.09822241118974\n ],\n [\n -93.515625,\n 44.465151013519616\n ],\n [\n -95.2734375,\n 46.9502622421856\n ],\n [\n -98.61328125,\n 51.20688339486559\n ],\n [\n -101.6015625,\n 52.72298552457069\n ],\n [\n -105.9521484375,\n 55.10351605801967\n ],\n [\n -115.75195312499999,\n 55.727110085045986\n ],\n [\n -114.47753906249999,\n 49.439556958940855\n ],\n [\n -112.8515625,\n 48.545705491847464\n ],\n [\n -101.6455078125,\n 47.81315451752768\n ],\n [\n -99.7998046875,\n 44.08758502824516\n ],\n [\n -93.515625,\n 41.934976500546604\n ],\n [\n -93.4716796875,\n 42.09822241118974\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"87","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Durant, Jennie","contributorId":218626,"corporation":false,"usgs":false,"family":"Durant","given":"Jennie","email":"","affiliations":[{"id":36942,"text":"University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":769713,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Otto, Clint 0000-0002-7582-3525 cotto@usgs.gov","orcid":"https://orcid.org/0000-0002-7582-3525","contributorId":5426,"corporation":false,"usgs":true,"family":"Otto","given":"Clint","email":"cotto@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":769712,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70205857,"text":"70205857 - 2019 - Prevalence and diversity of avian blood parasites in a resident northern passerine","interactions":[],"lastModifiedDate":"2019-10-09T08:08:46","indexId":"70205857","displayToPublicDate":"2019-06-10T08:08:06","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3010,"text":"Parasites & Vectors","printIssn":"1756-3305","active":true,"publicationSubtype":{"id":10}},"title":"Prevalence and diversity of avian blood parasites in a resident northern passerine","docAbstract":"Background: Climate-related changes are expected to influence the prevalence and distribution of vector-borne haemosporidian parasites at northern latitudes, although baseline information about resident birds is still lacking. In this study, we investigated prevalence and genetic diversity of Plasmodium, Haemoproteus, and Leucocytozoon parasites infecting the Northwestern Crow (Corvus caurinus), a non-migratory passerine with unique life-history characteristics. This species occupies both intertidal and forested habitats and is subject to high prevalence of avian keratin disorder (AKD), a disease that causes gross beak deformities. Investigation of avian blood parasites in Northwestern Crows at sites broadly distributed across coastal Alaska provided an opportunity to evaluate specific host factors related to parasite infection status and assess geographic patterns of prevalence.\nResults: We used molecular methods to screen for haemosporidian parasites in Northwestern Crows and estimated genus-specific parasite prevalence with occupancy modeling that accounts for imperfect detection of parasite infection. We observed considerable geographic and annual variation in prevalence of Plasmodium, Haemoproteus, and Leucocytozoon , but these patterns were not correlated with indices of local climatic conditions. Our models also did not provide support for relationships between the probability of parasite infection and body condition or the occurrence of co-infections with other parasite genera or clinical signs of AKD. In our phylogenetic analyses, we identified multiple lineages of each parasite genus, with Leucocytozoon showing greater diversity than Plasmodium or Haemoproteus.\nConclusions: Results from this study expand our knowledge about the prevalence and diversity of avian blood parasites in northern resident birds as well as corvids worldwide. We detected all three genera of avian haemosporidians in Northwestern Crows in Alaska, although only Leucocytozoon occurred at all sites in both years. Given the strong geographic and interannual variation in parasite prevalence and apparent lack of correlation with climatic variables, it appears that there are other key factors responsible for driving transmission dynamics in this region. Thus, caution is warranted when using standard climatic or geographic attributes in a predictive framework. Our phylogenetic results demonstrate lower host specificity for some lineages of Leucocytozoon than is typically reported and provide insights about genetic diversity of local haemosporidian parasites in Alaska.","language":"English","publisher":"Springer","doi":"10.1186/s13071-019-3545-1","usgsCitation":"Van Hemert, C.R., Meixell, B.W., Smith, M.M., and Handel, C.M., 2019, Prevalence and diversity of avian blood parasites in a resident northern passerine: Parasites & Vectors, v. 12, 292, https://doi.org/10.1186/s13071-019-3545-1.","productDescription":"292","ipdsId":"IP-101943","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":467546,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s13071-019-3545-1","text":"Publisher Index Page"},{"id":437426,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9EBB1LG","text":"USGS data release","linkHelpText":"Blood Parasite Infection Data from Northwestern Crows (Corvus caurinus), Alaska, 2007-2008"},{"id":368149,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2019-06-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Van Hemert, Caroline R. 0000-0002-6858-7165 cvanhemert@usgs.gov","orcid":"https://orcid.org/0000-0002-6858-7165","contributorId":3592,"corporation":false,"usgs":true,"family":"Van Hemert","given":"Caroline","email":"cvanhemert@usgs.gov","middleInitial":"R.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":772640,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Meixell, Brandt W. 0000-0002-6738-0349 bmeixell@usgs.gov","orcid":"https://orcid.org/0000-0002-6738-0349","contributorId":138716,"corporation":false,"usgs":true,"family":"Meixell","given":"Brandt","email":"bmeixell@usgs.gov","middleInitial":"W.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":772641,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Matthew M. 0000-0002-2259-5135 mmsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-2259-5135","contributorId":5115,"corporation":false,"usgs":true,"family":"Smith","given":"Matthew","email":"mmsmith@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":772642,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Handel, Colleen M. 0000-0002-0267-7408 cmhandel@usgs.gov","orcid":"https://orcid.org/0000-0002-0267-7408","contributorId":3067,"corporation":false,"usgs":true,"family":"Handel","given":"Colleen","email":"cmhandel@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":772643,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70202934,"text":"ofr20191034 - 2019 - Hydrogeologic characterization of part of the Lower Floridan aquifer at the South District Wastewater Treatment Plant, Miami-Dade County, Florida","interactions":[],"lastModifiedDate":"2019-06-10T14:05:12","indexId":"ofr20191034","displayToPublicDate":"2019-06-10T07:19:06","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-1034","displayTitle":"Hydrogeologic characterization of part of the Lower Floridan Aquifer at the South District Wastewater Treatment Plant, Miami-Dade County, Florida","title":" Hydrogeologic characterization of part of the Lower Floridan aquifer at the South District Wastewater Treatment Plant, Miami-Dade County, Florida","docAbstract":"The South District Wastewater Treatment Plant in southeastern Miami-Dade County, Florida, includes a Class I treated wastewater injection well system. The detection of ammonia in monitoring zones above the injection zone in the Lower Floridan aquifer has elicited a need to understand the nature of confinement within the Lower Floridan aquifer as it pertains to the vertical migration of injectate out of the injection zone upward into the Underground Source of Drinking Water in the upper part of the Floridan aquifer system. Geologic and geophysical data, borehole video imagery, and aquifer performance data were used to refine and clarify the geologic and hydrogeologic frameworks of part of the Lower Floridan aquifer at the treatment plant. The data provide evidence for zones of enhanced dissolution permeability, extensive secondary porosity, fractures, karst collapse structures, and faults that could provide vertical cross-formational fluid pathways that transect the Lower Floridan aquifer.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191034","collaboration":"Prepared in cooperation with the Miami-Dade Water and Sewer Department","usgsCitation":"DeFosset, K.L., and Cunningham, K.J., 2019, Hydrogeologic characterization of part of the Lower Floridan aquifer at the South District Wastewater Treatment Plant, Miami-Dade County, Florida: U.S. Geological Survey Open-File Report 2019–1034, 15 p., https://doi.org/10.3133/ofr20191034.","productDescription":"24 p.","onlineOnly":"Y","ipdsId":"IP-075297","costCenters":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"links":[{"id":364437,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1034/ofr20191034.pdf","text":"Report","size":"2.30 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2018–1034"},{"id":364436,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1034/coverthb3.jpg"}],"country":"United States","state":"Florida","county":"Miami-Dade County","otherGeospatial":"Lower Floridan Aquifer","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.3679084777832,\n 25.5322186740316\n ],\n [\n -80.30645370483398,\n 25.5322186740316\n ],\n [\n -80.30645370483398,\n 25.568459199445766\n ],\n [\n -80.3679084777832,\n 25.568459199445766\n ],\n [\n -80.3679084777832,\n 25.5322186740316\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Caribbean-Florida Water Science Center
U.S. Geological Survey
4446 Pet Lane, Suite 108
Lutz, FL 33559
Understanding drivers of freshwater fish assemblages is critically important for biodiversity conservation strategies, especially in rapidly developing countries, which often have environmental protections lagging behind economic development. The influences of natural and human factors in structuring fish assemblages and their relative contributions are likely to change given the increasing magnitude of human activities. To discriminate natural and human drivers of fish diversity and assemblage patterns in developing countries with rapid socio-economic development, a dataset of 908 freshwater fish species and 13 metrics including three categories of both natural (i.e., biogeographic) and human drivers (i.e., economic growth, inland fisheries) in China were analysed with machine learning algorithms (i.e., self-organizing map, random forest). Here, we found that biogeographic drivers explained 21.8% of the observed fish assemblage patterns in China and remained stronger predictors when compared to human drivers (i.e., 15.6%, respectively). Freshwater fish species richness was positively correlated to rainfall, air temperature, surface water area and inland fisheries production but negatively correlated with urbanization. In addition, the strong structuring effects of climatic variables on Chinese fish richness patterns suggested that the fish assemblages could be particularly vulnerable to climate change. Our results showed that natural biogeographic factors still dominate in driving freshwater fish assemblage patterns despite increased human disturbances on aquatic ecosystems in a rapidly developing country. These findings consequently suggested that we should consider both natural (e.g., climate) and human (e.g., urbanization, inland fisheries) factors when establishing aquatic conservation strategies and priorities for developing countries that are experiencing rapid socio-economic changes.
","language":"English","publisher":"Wiley","doi":"10.1111/faf.12380","usgsCitation":"Guo, C., Chen, Y., Gozlan, R.E., Li, Z., Mehner, T., Lek, S., and Paukert, C.P., 2019, Biogeographic freshwater fish pattern legacy revealed despite rapid socio-economic changes in China: Fish and Fisheries, v. 20, no. 5, p. 857-869, https://doi.org/10.1111/faf.12380.","productDescription":"13 p.","startPage":"857","endPage":"869","ipdsId":"IP-093021","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":395234,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 72.158203125,\n 17.811456088564483\n ],\n [\n 137.63671875,\n 17.811456088564483\n ],\n [\n 137.63671875,\n 55.02802211299252\n ],\n [\n 72.158203125,\n 55.02802211299252\n ],\n [\n 72.158203125,\n 17.811456088564483\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"20","issue":"5","noUsgsAuthors":false,"publicationDate":"2019-06-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Guo, Chuanbo","contributorId":207404,"corporation":false,"usgs":false,"family":"Guo","given":"Chuanbo","email":"","affiliations":[{"id":37533,"text":"State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, 430072, China","active":true,"usgs":false}],"preferred":false,"id":832384,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chen, Yushun","contributorId":187716,"corporation":false,"usgs":false,"family":"Chen","given":"Yushun","email":"","affiliations":[{"id":32415,"text":"Chinese Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":832385,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gozlan, Rodolphe E.","contributorId":272914,"corporation":false,"usgs":false,"family":"Gozlan","given":"Rodolphe","email":"","middleInitial":"E.","affiliations":[{"id":37581,"text":"Université de Montpellier, France","active":true,"usgs":false}],"preferred":false,"id":832386,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Li, Zhongjie","contributorId":177557,"corporation":false,"usgs":false,"family":"Li","given":"Zhongjie","email":"","affiliations":[],"preferred":false,"id":832533,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mehner, Thomas","contributorId":272917,"corporation":false,"usgs":false,"family":"Mehner","given":"Thomas","email":"","affiliations":[{"id":38332,"text":"Leibniz-Institute of Freshwater Ecology and Inland Fisheries","active":true,"usgs":false}],"preferred":false,"id":832387,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lek, Sovan","contributorId":272922,"corporation":false,"usgs":false,"family":"Lek","given":"Sovan","email":"","affiliations":[{"id":56409,"text":"Paul Sabatier University","active":true,"usgs":false}],"preferred":false,"id":832388,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Paukert, Craig P. 0000-0002-9369-8545 cpaukert@usgs.gov","orcid":"https://orcid.org/0000-0002-9369-8545","contributorId":147821,"corporation":false,"usgs":true,"family":"Paukert","given":"Craig","email":"cpaukert@usgs.gov","middleInitial":"P.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":832390,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70203817,"text":"70203817 - 2019 - Geographic variation in the intensity of warming and phenological mismatch between Arctic shorebirds and invertebrates","interactions":[],"lastModifiedDate":"2019-11-13T13:22:24","indexId":"70203817","displayToPublicDate":"2019-06-08T10:09:42","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1459,"text":"Ecological Monographs","active":true,"publicationSubtype":{"id":10}},"title":"Geographic variation in the intensity of warming and phenological mismatch between Arctic shorebirds and invertebrates","docAbstract":"Responses to climate change can vary across functional groups and trophic levels, leading to a temporal decoupling of trophic interactions or ‘phenological mismatches.’ Despite a growing number of single-species studies that identified phenological mismatches as a nearly universal consequence of climate change, we have a limited understanding of the spatial variation in the intensity of this phenomenon nor what influences this variation. In this study, we tested for geographic patterns in phenological mismatches between six species of shorebirds and their invertebrate prey at ten sites spread across ~13º latitude and ~84º longitude in the Arctic over three years. At each site, we quantified the phenological mismatch between shorebirds and their invertebrate prey at: 1) an individual nest level, as the difference in days between the seasonal peak in food and the peak demand by chicks, and 2) a population level, as the overlapped area under fitted curves for total daily biomass of invertebrates and dates of the peak demand by chicks. We tested whether the intensity of past climatic change observed at each site corresponded with the extent of phenological mismatch and used Structural Equation Modeling to test for causal relationships among: 1) environmental factors, including geographic location and current climatic conditions, 2) the timing of invertebrate emergence and the breeding phenology of shorebirds, and 3) the phenological mismatch between the two trophic levels. The extent of phenological mismatch varied more among different sites than among different species within each site. A greater extent of phenological mismatch at both the individual-nest and population-levels coincided with changes in the timing of snowmelt as well as the potential dissociation of long-term snow phenology from changes in temperature. The timing of snowmelt also affected the shape of the food and demand curves, which determined the extent of phenological mismatch at the population level. Finally, we found larger mismatches at more easterly longitudes, which may be affecting the population dynamics of shorebirds, as two of our study species show regional population declines in only the eastern part of their range. This suggests that phenological mismatches may be resulting in demographic consequences for arctic-nesting birds.","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecm.1383","usgsCitation":"Kwon, E., Weiser, E.L., Lanctot, R.B., Brown, S.C., Gates, H.R., Gilchrist, H.G., Kendall, S.J., David B. Lank, Joseph R. Liebezeit, McKinnon, L., Erica Nol, Payer, D.C., Rausch, J., Saalfeld, S.T., Rinella, D.J., Senner, N.R., Smith, P., Ward, D., Wissman, R.C., and Sandercock, B.K., 2019, Geographic variation in the intensity of warming and phenological mismatch between Arctic shorebirds and invertebrates: Ecological Monographs, v. 89, no. 4, e01383, https://doi.org/10.1002/ecm.1383.","productDescription":"e01383","ipdsId":"IP-068533","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":467549,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/11250/2607430","text":"External Repository"},{"id":364696,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Alaska","otherGeospatial":"North American Arctic","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -95.2734375,\n 58.03137242177637\n ],\n [\n -92.197265625,\n 58.03137242177637\n ],\n [\n -92.197265625,\n 59.17592824927136\n ],\n [\n -95.2734375,\n 59.17592824927136\n ],\n [\n -95.2734375,\n 58.03137242177637\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.671875,\n 63.60721668033077\n ],\n [\n -81.34277343749999,\n 63.60721668033077\n ],\n [\n -81.34277343749999,\n 64.49172504435471\n ],\n [\n -83.671875,\n 64.49172504435471\n ],\n [\n -83.671875,\n 63.60721668033077\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -131.923828125,\n 69.83962194067463\n ],\n [\n -159.08203125,\n 71.63599288330609\n ],\n [\n -159.169921875,\n 71.32895017791999\n ],\n [\n -157.32421875,\n 70.64176873584621\n ],\n [\n -148.271484375,\n 69.7485511291223\n ],\n [\n -139.921875,\n 68.9110048456202\n ],\n [\n -132.1875,\n 68.75231494434473\n ],\n [\n -131.923828125,\n 69.83962194067463\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -167.51953124999997,\n 64.28275952823394\n ],\n [\n -164.8828125,\n 64.28275952823394\n ],\n [\n -164.8828125,\n 65.18303007291382\n ],\n [\n -167.51953124999997,\n 65.18303007291382\n ],\n [\n -167.51953124999997,\n 64.28275952823394\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -162.59765625,\n 66.19600891267761\n ],\n [\n -160.13671875,\n 66.19600891267761\n ],\n [\n -160.13671875,\n 67.33986082559095\n ],\n [\n -162.59765625,\n 67.33986082559095\n ],\n [\n -162.59765625,\n 66.19600891267761\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"89","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2019-07-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Kwon, Enubi","contributorId":216232,"corporation":false,"usgs":false,"family":"Kwon","given":"Enubi","email":"","affiliations":[{"id":33062,"text":"Division of Biology, Kansas State University","active":true,"usgs":false}],"preferred":false,"id":764254,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Weiser, Emily L. 0000-0003-1598-659X","orcid":"https://orcid.org/0000-0003-1598-659X","contributorId":213770,"corporation":false,"usgs":true,"family":"Weiser","given":"Emily","email":"","middleInitial":"L.","affiliations":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"preferred":true,"id":764294,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lanctot, Richard B.","contributorId":31894,"corporation":false,"usgs":true,"family":"Lanctot","given":"Richard","email":"","middleInitial":"B.","affiliations":[{"id":7029,"text":"Queen's University, Kingston, Ontario, Canada","active":true,"usgs":false},{"id":135,"text":"Biological Resources Division","active":false,"usgs":true},{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false},{"id":17786,"text":"Carleton University","active":true,"usgs":false}],"preferred":false,"id":764295,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brown, Stephen C. 0000-0002-0421-1660","orcid":"https://orcid.org/0000-0002-0421-1660","contributorId":208214,"corporation":false,"usgs":false,"family":"Brown","given":"Stephen","email":"","middleInitial":"C.","affiliations":[{"id":37764,"text":"Shorebird Recovery Program","active":true,"usgs":false}],"preferred":false,"id":764296,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gates, H. 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On January 9, 2018, before the fire was fully contained, an intense burst of rain fell on the portion of the burn area above Montecito, CA. The rainfall and associated runoff triggered a series of debris flows that mobilized approximately 680,000 m3 of sediment (including boulders >4 m) at velocities up to 4 m/s down urbanized alluvial fans. The resulting destruction (including 23 fatalities, at least 167 injuries, and 408 damaged homes) underscores the need for improved understanding of debris-flow runout in the built environment, and the need for a comprehensive framework to assess the potential loss from debris flows following wildfire. We present observations of the inundation, debris-flow dynamics, and damage from the event. The data include field measurements of flow depth and deposit characteristics made 12 days after the event (before ephemeral features of the deposits were lost to recovery operations); an inventory of building damage; estimates of flow velocity; information on flow timing; soil-hydrologic properties; and post-event imagery and lidar. Together, these data provide rare spatial and dynamic constraints for testing debris-flow runout models, which are needed for advancing post-fire debris-flow hazard assessments. Our analysis also outlines a framework for translating the results of these models into estimates of economic loss based on an adaptation of the Federal Emergency Management Agency’s Hazus model for tsunamis.","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES02048.1","usgsCitation":"Kean, J.W., Staley, D.M., Lancaster, J.T., Rengers, F.K., Swanson, B.J., Coe, J.A., Hernandez, J., Sigman, A., Allstadt, K.E., and Lindsay, D.N., 2019, Inundation, flow dynamics, and damage in the 9 January 2018 Montecito Debris-Flow Event, California, USA: Opportunities and challenges for post-wildfire risk assessment: Geosphere, v. 15, no. 4, p. 1140-1163, https://doi.org/10.1130/GES02048.1.","productDescription":"24 p.","startPage":"1140","endPage":"1163","ipdsId":"IP-104196","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":467550,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index 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in the USA are listed in the USGS National Produced Waters Geochemical Database [1]. In this summary, we report and discuss the geochemical data on produced waters obtained from published literature and the Colorado Oil and Gas Conservation Commission (COGCC) from close to 4,000 new oil and gas wells in Colorado. We emphasize geochemical data of produced waters from shale and tight reservoirs that have increased dramatically in Colorado since 2011, due to deep horizontal drilling, downhole telemetry and massive multi-stage hydraulic fracturing. These operations require large volumes of fresh water, but contamination of groundwater is the major environmental concern. Also, induced seismicity caused by water injection has been reported from several areas in Colorado, including Trinidad, Raton basin, and Greely, Denver basin. Produced water salinities in Colorado obtained from unconventional oil and gas wells are relatively low, generally less than 30,000 mg/L TDS. Produced water salinities from conventional oil and gas wells overlap those from unconventional wells, but many wells have higher salinities (up to 90,000 mg/L TDS) and different chemical compositions.
From 1997 to the present, the U.S. Geological Survey and other agencies have been collecting water samples for chemical analyses on Mount Emmons in central Colorado, USA. The geology of Mount Emmons is dominated by Upper Cretaceous to Paleogene sediments of marine to continental origin, with felsic intrusive rocks interrupting the sedimentary block. Extensive sulphide-rich alteration accompanied the intrusive events and forms an alteration halo in the sediments. Weathering of these sulphide minerals has led to numerous springs and seeps with a naturally low pH and high concentrations of metals, especially Fe and Zn. Superimposed on the natural geochemical signature are acid, metal-rich drainages from several mines and drill holes. Thus, streams on Mt. Emmons have a mix of natural and anthropogenic metal sources. Nearly 450 samples compose the database, with numerous sample locations replicated from the late 1990s to the present. Although there does not appear to be any temporal pattern in the data, consistent spatial variations are observed that allow us to characterize the natural and anthropogenic water sources.
Submarine canyons are conduits for episodic and powerful sediment density flows (commonly called turbidity currents) that move globally significant amounts of terrestrial sediment and organic carbon into the deep sea, forming some of the largest sedimentary deposits on Earth. The only record available for most turbidity currents is the deposit they leave behind. Therefore, to understand turbidity current processes, we need to determine the degree to which these flows are represented by their deposits. However, linking flows and deposits is a major long-standing scientific challenge. There are few detailed measurements from submarine turbidity currents in action, and even fewer direct measurements that can be compared to resulting seabed deposits. Recently, an extensive array of moorings along Monterey Canyon, offshore California, took measurements and samples during sediment density flow events, providing the most comprehensive dataset to date of turbidity current flows and their deposits. Here, we use sediment trap samples, velocity measurements, and seafloor cores to document how sand is transported through a submarine canyon, and how the transported sediment is represented in seafloor deposits. Sediment trap samples from events contain primarily fine to medium-grained sand with sharp bases, normal grading, and muddy tops. Sediment captured from the water column during the flow shows normal grading, which is broadly consistent with the initial peak and waning of flow velocities measured at a single height within the flow, and may be enhanced by collapsing flows. Flow events contain coarser sand concentrated toward the seafloor and larger grain sizes on the seafloor or in the dense near-bed layer, possibly representative of stratified flows. Although flow velocity varies, sand grain sizes in sediment traps are similar over distances of 50 km down-canyon, suggesting that grain size is an unfaithful record of down-canyon changes in maximum flow speeds. Sand transported within flow events and sampled in sediment traps is similar to sand sampled from the seafloor shortly after the events, but traps do not contain pebbles and gravel common in seabed deposits. Seabed deposits thus appear to faithfully record the sand component that is transported in the water column during sub-annual turbidity currents.
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The drilling was the initial phase of a planned, three-well program designed to conduct an extended duration test of the response to gas hydrate reservoirs to controlled depressurization. The Stratigraphic Test Well (formally “PBU Hydrate-01”) was operated by the PBU Operator BP Exploration, (Alaska), Inc. (BPXA) using the Parker 272 drilling rig (Figure 1) through a Drilling Services Agreement executed with Petrotechnical Resources of Alaska (PRA) in association with a contract between NETL and PRA. The science program executed by BPXA was developed over a two-year period through extensive discussions and scientific evaluation undertaken by NETL, the Japan, Oil, Gas, and Metals, National Corporation (JOGMEC), the U.S. Geological Survey (USGS), and PRA. The effort also benefitted greatly from the support of the Alaska Department of Natural Resources (ADNR) and the PBU Working Interest Owners (WIOs).
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2019 - Statistical power of dynamic occupancy models to identify temporal change: Informing the North American Bat Monitoring Program","interactions":[],"lastModifiedDate":"2019-06-18T12:21:17","indexId":"70203721","displayToPublicDate":"2019-06-06T15:14:28","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Statistical power of dynamic occupancy models to identify temporal change: Informing the North American Bat Monitoring Program","docAbstract":"Dynamic occupancy models provide a flexible framework for estimating and mapping species occupancy patterns\nover space and time for large-scale monitoring programs (e.g., the North American Bat Monitoring Program\n(NABat), the Amphibian Research and Monitoring Initiative). Challenges for designing surveys using the dynamic\noccupancy modeling framework include defining appropriate derived trend parameters, and providing\nusable tools for researchers to conduct project-specific sample size investigations. We present a simulation-based\npower analysis framework for dynamic occupancy models that allows for the incorporation of the underlying\nenvironmental space (i.e., as covariates) within a specific study region to inform sample size estimation. We\ninvestigate two definitions of temporal trend: (1) a gradual, sustained (linear or nonlinear) change over a period\nof many years, and (2) an abrupt increase or decrease between two time periods. We draw upon pilot data\ncollected following NABat protocols to inform assumed data generating values in a demonstration of our approach.\nDue to the complicated parameter structure of dynamic occupancy models, we emphasize the importance\nof visualizing simulated changes over time based on different parameter settings prior to conducting a\npower analysis. Our simulations revealed that the linearity of short-term trends (five years in our investigation)\nconferred higher power with lower sample size than longer trends where occupancy probabilities approached\nzero (ten years in our investigation). We provide an example of how to use our tools to conduct customized\ninvestigations using questions posed by NABat, and in doing so, we shed light on general guidelines that can be\napplied to programs monitoring species occupancy for other taxa. Importantly, we created an R package to\nexecute our approach for informing program-, species-, and study-specific investigations aimed at identifying\nchanges in species occupancy.","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2019.05.047","usgsCitation":"Banner, K., Irvine, K., Rodhouse, T.J., Donner, D.M., and Litt, A.R., 2019, Statistical power of dynamic occupancy models to identify temporal change: Informing the North American Bat Monitoring Program: Ecological Indicators, v. 105, p. 166-176, https://doi.org/10.1016/j.ecolind.2019.05.047.","productDescription":"11 p.","startPage":"166","endPage":"176","ipdsId":"IP-103005","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":460363,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://zotero.org/groups/5435545/items/2EKFYEYQ","text":"Publisher Index Page"},{"id":437428,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9WHOH6D","text":"USGS data release","linkHelpText":"Online supporting information for "Statistical power of dynamic occupancy models to identify temporal change: informing the North American Bat Monitoring Program""},{"id":364476,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"105","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Banner, Katherine","contributorId":216067,"corporation":false,"usgs":false,"family":"Banner","given":"Katherine","email":"","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":763807,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Irvine, Kathryn M. 0000-0002-6426-940X","orcid":"https://orcid.org/0000-0002-6426-940X","contributorId":214591,"corporation":false,"usgs":true,"family":"Irvine","given":"Kathryn M.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":763806,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rodhouse, Tom J","contributorId":176228,"corporation":false,"usgs":false,"family":"Rodhouse","given":"Tom","email":"","middleInitial":"J","affiliations":[],"preferred":false,"id":763808,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Donner, Deahn M.","contributorId":171823,"corporation":false,"usgs":false,"family":"Donner","given":"Deahn","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":763809,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Litt, Andrea R.","contributorId":208358,"corporation":false,"usgs":false,"family":"Litt","given":"Andrea","email":"","middleInitial":"R.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":763810,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70202987,"text":"70202987 - 2019 - Screen-printed soft capacitive sensors for spatial mapping of both positive and negative pressures","interactions":[],"lastModifiedDate":"2019-07-23T13:27:45","indexId":"70202987","displayToPublicDate":"2019-06-06T13:39:32","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5827,"text":"Advanced Functional Materials","active":true,"publicationSubtype":{"id":10}},"title":"Screen-printed soft capacitive sensors for spatial mapping of both positive and negative pressures","docAbstract":"Soft pressure sensors are one class of the essential devices for robotics and wearable device applications. Despite the tremendous progress, sensors that can reliably detect both positive and negative pressures have not yet been demonstrated. In this paper, we report a soft capacitive pressure sensor made using a convenient and low-cost screen-printing process that can reliably detect both positive and negative pressures from −60 kPa to 20 kPa. The sensor is made with an Ecoflex-0030 dielectric layer, conductive and stretchable poly(3,4-ethylenedioxythiophene): poly(styrenesulfonate) (PEDOT:PSS) (with ionic additives) electrodes and polydimethylsiloxane (PDMS) encapsulation layers. Air gaps are designed and incorporated into the dielectric layer to significantly enhance the sample deformation and pressure response especially to negative pressure. The sensor exhibits repeatable response for thousands of cycles, even under bending or stretching conditions. Lastly, to demonstrate the practical application, a 12×12-pixel sensor array that can automatically measure both positive and negative pressure distributions has been reported under −20 kPa and 10 kPa.","language":"English","publisher":"Wiley","doi":"10.1002/adfm.201809116","usgsCitation":"Shi, H., Al-Rubaiai, M., Holbrook, C., Miao, J., Pinto, T., Wang, C., and Tan, X., 2019, Screen-printed soft capacitive sensors for spatial mapping of both positive and negative pressures: Advanced Functional Materials, v. 29, no. 23, Article 1809116, https://doi.org/10.1002/adfm.201809116.","productDescription":"Article 1809116","ipdsId":"IP-106197","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":362916,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"29","issue":"23","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2019-04-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Shi, Hongyang 0000-0003-4135-3673","orcid":"https://orcid.org/0000-0003-4135-3673","contributorId":214760,"corporation":false,"usgs":false,"family":"Shi","given":"Hongyang","email":"","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":760711,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Al-Rubaiai, Mohammed","contributorId":214761,"corporation":false,"usgs":false,"family":"Al-Rubaiai","given":"Mohammed","email":"","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":760712,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Holbrook, Christopher M. 0000-0001-8203-6856 cholbrook@usgs.gov","orcid":"https://orcid.org/0000-0001-8203-6856","contributorId":139681,"corporation":false,"usgs":true,"family":"Holbrook","given":"Christopher","email":"cholbrook@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":760710,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miao, Jinshui","contributorId":214762,"corporation":false,"usgs":false,"family":"Miao","given":"Jinshui","email":"","affiliations":[{"id":16979,"text":"University of Pennsylvania","active":true,"usgs":false}],"preferred":false,"id":760713,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pinto, Thassyo","contributorId":214763,"corporation":false,"usgs":false,"family":"Pinto","given":"Thassyo","email":"","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":760714,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wang, Chuan","contributorId":214764,"corporation":false,"usgs":false,"family":"Wang","given":"Chuan","email":"","affiliations":[{"id":35028,"text":"Washington University in St. Louis","active":true,"usgs":false}],"preferred":false,"id":760715,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Tan, Xiaobo 0000-0002-5542-6266","orcid":"https://orcid.org/0000-0002-5542-6266","contributorId":214765,"corporation":false,"usgs":false,"family":"Tan","given":"Xiaobo","email":"","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":760716,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70203899,"text":"70203899 - 2019 - Operationalizing resilience and resistance concepts to address invasive grass-fire cycles","interactions":[],"lastModifiedDate":"2019-06-20T13:01:59","indexId":"70203899","displayToPublicDate":"2019-06-06T13:01:07","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3910,"text":"Frontiers in Ecology and Evolution","onlineIssn":"2296-701X","active":true,"publicationSubtype":{"id":10}},"title":"Operationalizing resilience and resistance concepts to address invasive grass-fire cycles","docAbstract":"Plant invasions can affect fuel characteristics, fire behavior, and fire regimes resulting in invasive plant-fire cycles and alternative, self-perpetuating states that can be difficult, if not impossible, to reverse. Concepts related to general resilience to disturbance and resistance to invasive plants provide the basis for managing landscapes to increase their capacity to reorganize and adjust following fire, while concepts related to spatial resilience provide the basis for managing landscapes to conserve resources and habitats and maintain connectivity. New, spatially explicit approaches and decision-tools enable managers to understand and evaluate general and spatial resilience to fire and resistance to invasive grasses across large landscapes in arid and semi-arid shrublands and woodlands. These approaches and tools provide the capacity to locate management actions strategically to prevent development of invasive grass-fire cycles and maintain or improve resources and habitats. In this review, we discuss the factors that influence fire regimes, general and spatial resilience to fire, resistance to invasive annual grasses, and thus invasive grass-fire cycles in global arid and semi-arid shrublands and woodlands. The Cold Deserts, Mediterranean Ecoregion, and Warm Deserts of North America are used as model systems to describe how and why resilience to disturbance and resistance to invasive annuals differ over large landscapes. The Cold Deserts are used to illustrate an approach and decision tools for prioritizing areas on the landscape for management actions to prevent development of invasive grass-fire cycles and protect high value resources and habitats and for determining effective management strategies. The concepts and approach herein represent a paradigm shift in the management of these ecosystems, which allows managers to use geospatial tools to identify resilience to disturbance and resistance to invasive plants in order to target conservation and restoration actions where they will provide the greatest benefits.","language":"English","publisher":"Frontiers Media","doi":"10.3389/fevo.2019.00185","usgsCitation":"Chambers, J.C., Brooks, M.L., Germino, M., Maestas, J.D., Board, D.I., Jones, M.O., and Allred, B.W., 2019, Operationalizing resilience and resistance concepts to address invasive grass-fire cycles: Frontiers in Ecology and Evolution, v. 7, no. 185, https://doi.org/10.3389/fevo.2019.00185.","ipdsId":"IP-106949","costCenters":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":467554,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fevo.2019.00185","text":"Publisher Index Page"},{"id":364839,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":364821,"type":{"id":15,"text":"Index Page"},"url":"https://doi.org/10.3389/fevo.2019.00185"}],"volume":"7","issue":"185","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2019-06-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Chambers, Jeanne C.","contributorId":178256,"corporation":false,"usgs":false,"family":"Chambers","given":"Jeanne","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":764646,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brooks, Matthew L. 0000-0002-3518-6787 mlbrooks@usgs.gov","orcid":"https://orcid.org/0000-0002-3518-6787","contributorId":393,"corporation":false,"usgs":true,"family":"Brooks","given":"Matthew","email":"mlbrooks@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":764645,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Germino, Matthew J. 0000-0001-6326-7579 mgermino@usgs.gov","orcid":"https://orcid.org/0000-0001-6326-7579","contributorId":152582,"corporation":false,"usgs":true,"family":"Germino","given":"Matthew J.","email":"mgermino@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":764647,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Maestas, Jeremy D","contributorId":191086,"corporation":false,"usgs":false,"family":"Maestas","given":"Jeremy","email":"","middleInitial":"D","affiliations":[],"preferred":false,"id":764648,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Board, David I","contributorId":216377,"corporation":false,"usgs":false,"family":"Board","given":"David","email":"","middleInitial":"I","affiliations":[{"id":16848,"text":"USDA Forest Service, Rocky Mountain Research Station","active":true,"usgs":false}],"preferred":false,"id":764649,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jones, Matthew O.","contributorId":169805,"corporation":false,"usgs":false,"family":"Jones","given":"Matthew","email":"","middleInitial":"O.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":764650,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Allred, Brady W","contributorId":216378,"corporation":false,"usgs":false,"family":"Allred","given":"Brady","email":"","middleInitial":"W","affiliations":[{"id":39397,"text":"W.A. Franke College of Forestry and Conservation University of Montana, Missoula","active":true,"usgs":false}],"preferred":false,"id":764651,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70204697,"text":"70204697 - 2019 - Estimating domestic well locations and populations served in the contiguous U.S. for years 2000 and 2010","interactions":[],"lastModifiedDate":"2019-08-09T12:10:34","indexId":"70204697","displayToPublicDate":"2019-06-06T12:02:38","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Estimating domestic well locations and populations served in the contiguous U.S. for years 2000 and 2010","docAbstract":"Domestic wells provide drinking water supply for approximately 40 million people in the United States. Knowing the location of these wells, and the populations they serve, is important for identifying heavily used aquifers, locations susceptible to contamination, and populations potentially impacted by poor-quality groundwater. The 1990 census was the last nationally consistent survey of a home’s source of water, and has not been surveyed since. This paper presents a method for projecting the population dependent on domestic wells for years after 1990, using information from the 1990 census along with population data from subsequent censuses. The method is based on the “domestic ratio” at the census block-group level, defined here as the number of households dependent on domestic wells divided by the total population. Analysis of 1990 data (>220,000 block-groups) indicates that the domestic ratio is a function of the household density. As household density increases, the domestic ratio decreases, once a household density threshold is met. The 1990 data were used to develop a relationship between household density and the domestic ratio. The fitted model, along with household density data from 2000 and 2010, was used to estimate domestic ratios for each decadal year. In turn, the number of households dependent on domestic wells was estimated at the block-group level for 2000 and 2010. High-resolution census-block population data were used to refine the spatial distribution of domestic-well usage and to convert the data into population numbers. The results are presented in two downloadable raster datasets for each decadal year. It is estimated that the total population using domestic-well water in the contiguous U.S. increased 1.5% from 1990 to 2000 to a total of 37.25 million people and increased slightly from 2000 to 2010 to 37.29 million people.","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2019.06.036","usgsCitation":"Johnson, T., Belitz, K., and Lombard, M.A., 2019, Estimating domestic well locations and populations served in the contiguous U.S. for years 2000 and 2010: Science of the Total Environment, v. 687, p. 1261-1273, https://doi.org/10.1016/j.scitotenv.2019.06.036.","productDescription":"13 p.","startPage":"1261","endPage":"1273","ipdsId":"IP-101767","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":466,"text":"New England Water Science 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0000-0003-4481-2345","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":201889,"corporation":false,"usgs":true,"family":"Belitz","given":"Kenneth","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":768106,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lombard, Melissa A. 0000-0001-5924-6556 mlombard@usgs.gov","orcid":"https://orcid.org/0000-0001-5924-6556","contributorId":198254,"corporation":false,"usgs":true,"family":"Lombard","given":"Melissa","email":"mlombard@usgs.gov","middleInitial":"A.","affiliations":[{"id":466,"text":"New England Water Science 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scale. The disproportionate loss of once-dominant, reef-building taxa has facilitated relative increases in the abundance of “weedy” or stress-tolerant coral species. Although the recent transformation of coral-reef assemblages is unprecedented on ecological timescales, determining whether modern coral reefs have truly reached a novel ecosystem state requires evaluating the dynamics of reef composition over much longer periods of time. Here, we provide a geologic perspective on the shifting composition of Florida's reefs by reconstructing the millennial-scale spatial and temporal variability in reef assemblages using 59 Holocene reef cores collected throughout the Florida Keys Reef Tract (FKRT). We then compare the relative abundances of reef-building species in the Holocene reef framework to data from contemporary reef surveys to determine how much Florida's modern reef assemblages have diverged from long-term baselines. We show that the composition of Florida's reefs was, until recently, remarkably stable over the last 8000 yr. The same corals that have dominated shallow-water reefs throughout the western Atlantic for hundreds of thousands of years, Acropora palmata, Orbicella spp., and other massive coral taxa, accounted for nearly 90% of Florida's Holocene reef framework. In contrast, the species that now have the highest relative abundances on the FKRT, primarily Porites astreoides and Siderastrea siderea, were rare in the reef framework, suggesting that recent shifts in species assemblages are unprecedented over millennial timescales. Although it may not be possible to return coral reefs to pre-Anthropocene states, our results suggest that coral-reef management focused on the conservation and restoration of the reef-building species of the past, will optimize efforts to preserve coral reefs, and the valuable ecosystem services they provide into the future.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecy.2781","usgsCitation":"Toth, L., Stathakopoulos, A., Kuffner, I.B., Ruzicka, R.R., Colella, M.A., and Shinn, E.A., 2019, The unprecedented loss of Florida's reef-building corals and the emergence of a novel coral-reef assemblage: Ecology, v. 100, no. 9, e02781, 14 p., https://doi.org/10.1002/ecy.2781.","productDescription":"e02781, 14 p.","ipdsId":"IP-104540","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":467556,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecy.2781","text":"Publisher Index Page"},{"id":437430,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P93XXXA0","text":"USGS data release","linkHelpText":"The Absolute and Relative Composition of Holocene Reef Cores From the Florida Keys Reef Tract"},{"id":422972,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Florida Keys Reef Tract","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -82.52594320175321,\n 24.764514561822665\n ],\n [\n -83.03873267817458,\n 24.764514561822665\n ],\n [\n -83.08197998341461,\n 24.427458630027616\n ],\n [\n -81.47565150305881,\n 24.41058205242757\n ],\n [\n -80.33268700742039,\n 24.92709848702593\n ],\n [\n -80.06702498951552,\n 25.525116607289604\n ],\n [\n -80.25854876986541,\n 25.53069165144869\n ],\n [\n -80.598349025326,\n 25.03910062993201\n ],\n [\n -81.3644441467264,\n 24.826209468694913\n ],\n [\n -82.52594320175321,\n 24.764514561822665\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"100","issue":"9","noUsgsAuthors":false,"publicationDate":"2019-07-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Toth, Lauren T. 0000-0002-2568-802X ltoth@usgs.gov","orcid":"https://orcid.org/0000-0002-2568-802X","contributorId":181748,"corporation":false,"usgs":true,"family":"Toth","given":"Lauren","email":"ltoth@usgs.gov","middleInitial":"T.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":888681,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stathakopoulos, Anastasios 0000-0002-4404-035X astathakopoulos@usgs.gov","orcid":"https://orcid.org/0000-0002-4404-035X","contributorId":147744,"corporation":false,"usgs":true,"family":"Stathakopoulos","given":"Anastasios","email":"astathakopoulos@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":888682,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kuffner, Ilsa B. 0000-0001-8804-7847 ikuffner@usgs.gov","orcid":"https://orcid.org/0000-0001-8804-7847","contributorId":3105,"corporation":false,"usgs":true,"family":"Kuffner","given":"Ilsa","email":"ikuffner@usgs.gov","middleInitial":"B.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":888683,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ruzicka, Robert R.","contributorId":204569,"corporation":false,"usgs":false,"family":"Ruzicka","given":"Robert","email":"","middleInitial":"R.","affiliations":[{"id":12556,"text":"Florida Fish and Wildlife Conservation Commission","active":true,"usgs":false}],"preferred":false,"id":888684,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Colella, Michael A.","contributorId":139979,"corporation":false,"usgs":false,"family":"Colella","given":"Michael","email":"","middleInitial":"A.","affiliations":[{"id":13340,"text":"Fish & Wildlife Research Institute, Florida Fish and Wildlife Conservation Commission","active":true,"usgs":false}],"preferred":false,"id":888685,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shinn, Eugene A.","contributorId":210858,"corporation":false,"usgs":false,"family":"Shinn","given":"Eugene","email":"","middleInitial":"A.","affiliations":[{"id":7163,"text":"University of South Florida","active":true,"usgs":false}],"preferred":false,"id":888686,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ]}