{"pageNumber":"137","pageRowStart":"3400","pageSize":"25","recordCount":10458,"records":[{"id":70150465,"text":"70150465 - 2015 - Linking dynamic habitat selection with wading bird foraging distributions across resource gradients","interactions":[],"lastModifiedDate":"2015-06-26T09:48:07","indexId":"70150465","displayToPublicDate":"2015-06-24T10:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Linking dynamic habitat selection with wading bird foraging distributions across resource gradients","docAbstract":"<p>Species distribution models (SDM) link species occurrence with a suite of environmental predictors and provide an estimate of habitat quality when the variable set captures the biological requirements of the species. SDMs are inherently more complex when they include components of a species' ecology such as conspecific attraction and behavioral flexibility to exploit resources that vary across time and space. Wading birds are highly mobile, demonstrate flexible habitat selection, and respond quickly to changes in habitat quality; thus serving as important indicator species for wetland systems. We developed a spatio-temporal, multi-SDM framework using Great Egret (<i>Ardea alba</i>), White Ibis (<i>Eudocimus albus</i>), and Wood Stork (<i>Mycteria Americana</i>) distributions over a decadal gradient of environmental conditions to predict species-specific abundance across space and locations used on the landscape over time. In models of temporal dynamics, species demonstrated conditional preferences for resources based on resource levels linked to differing temporal scales. Wading bird abundance was highest when prey production from optimal periods of inundation was concentrated in shallow depths. Similar responses were observed in models predicting locations used over time, accounting for spatial autocorrelation. Species clustered in response to differing habitat conditions, indicating that social attraction can co-vary with foraging strategy, water-level changes, and habitat quality. This modeling framework can be applied to evaluate the multi-annual resource pulses occurring in real-time, climate change scenarios, or restorative hydrological regimes by tracking changing seasonal and annual distribution and abundance of high quality foraging patches.</p>","language":"English","publisher":"Public Library of Science","publisherLocation":"San Francisco, CA","doi":"10.1371/journal.pone.0128182","usgsCitation":"Beerens, J.M., Noonberg, E.G., and Gawlik, D.E., 2015, Linking dynamic habitat selection with wading bird foraging distributions across resource gradients: PLoS ONE, v. 10, no. 6, p. 1-25, https://doi.org/10.1371/journal.pone.0128182.","productDescription":"25 p.","startPage":"1","endPage":"25","numberOfPages":"25","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060476","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":471995,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0128182","text":"Publisher Index Page"},{"id":302361,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"6","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2015-06-24","publicationStatus":"PW","scienceBaseUri":"558e77b8e4b0b6d21dd65963","contributors":{"authors":[{"text":"Beerens, James M. 0000-0001-8143-916X jbeerens@usgs.gov","orcid":"https://orcid.org/0000-0001-8143-916X","contributorId":143722,"corporation":false,"usgs":true,"family":"Beerens","given":"James","email":"jbeerens@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":556926,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Noonberg, Erik G.","contributorId":143723,"corporation":false,"usgs":false,"family":"Noonberg","given":"Erik","email":"","middleInitial":"G.","affiliations":[{"id":15312,"text":"Florida Atlantic University","active":true,"usgs":false}],"preferred":false,"id":556927,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gawlik, Dale E.","contributorId":88055,"corporation":false,"usgs":true,"family":"Gawlik","given":"Dale","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":556928,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70150365,"text":"70150365 - 2015 - Improving estimates of tree mortality probability using potential growth rate","interactions":[],"lastModifiedDate":"2015-06-24T09:58:08","indexId":"70150365","displayToPublicDate":"2015-06-24T10:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1170,"text":"Canadian Journal of Forest Research","active":true,"publicationSubtype":{"id":10}},"title":"Improving estimates of tree mortality probability using potential growth rate","docAbstract":"<p><span>Tree growth rate is frequently used to estimate mortality probability. Yet, growth metrics can vary in form, and the justification for using one over another is rarely clear. We tested whether a growth index (GI) that scales the realized diameter growth rate against the potential diameter growth rate (PDGR) would give better estimates of mortality probability than other measures. We also tested whether PDGR, being a function of tree size, might better correlate with the baseline mortality probability than direct measurements of size such as diameter or basal area. Using a long-term dataset from the Sierra Nevada, California, U.S.A., as well as existing species-specific estimates of PDGR, we developed growth&ndash;mortality models for four common species. For three of the four species, models that included GI, PDGR, or a combination of GI and PDGR were substantially better than models without them. For the fourth species, the models including GI and PDGR performed roughly as well as a model that included only the diameter growth rate. Our results suggest that using PDGR can improve our ability to estimate tree survival probability. However, in the absence of PDGR estimates, the diameter growth rate was the best empirical predictor of mortality, in contrast to assumptions often made in the literature.</span></p>","language":"English","publisher":"NRC Research Press","doi":"10.1139/cjfr-2014-0368","usgsCitation":"Das, A., and Stephenson, N.L., 2015, Improving estimates of tree mortality probability using potential growth rate: Canadian Journal of Forest Research, v. 45, p. 920-928, https://doi.org/10.1139/cjfr-2014-0368.","productDescription":"9 p.","startPage":"920","endPage":"928","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059276","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":302273,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sierra Nevada, Sequoia National Park, Yosemite National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.201416015625,\n              37.302460074782296\n            ],\n            [\n              -120.201416015625,\n              37.99183365313853\n            ],\n            [\n              -119.036865234375,\n              37.99183365313853\n            ],\n            [\n              -119.036865234375,\n              37.302460074782296\n            ],\n            [\n              -120.201416015625,\n              37.302460074782296\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -119.30603027343749,\n              35.22318504970181\n            ],\n            [\n              -119.30603027343749,\n              36.87522650673951\n            ],\n            [\n              -117.90527343750001,\n              36.87522650673951\n            ],\n            [\n              -117.90527343750001,\n              35.22318504970181\n            ],\n            [\n              -119.30603027343749,\n              35.22318504970181\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"45","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"558bc6b2e4b0b6d21dd65296","contributors":{"authors":[{"text":"Das, Adrian J. 0000-0002-3937-2616 adas@usgs.gov","orcid":"https://orcid.org/0000-0002-3937-2616","contributorId":3842,"corporation":false,"usgs":true,"family":"Das","given":"Adrian J.","email":"adas@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":556739,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stephenson, Nathan L. 0000-0003-0208-7229 nstephenson@usgs.gov","orcid":"https://orcid.org/0000-0003-0208-7229","contributorId":2836,"corporation":false,"usgs":true,"family":"Stephenson","given":"Nathan","email":"nstephenson@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":556738,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70159662,"text":"70159662 - 2015 - Methane oxidation and molecular characterization of methanotrophs from a former mercury mine impoundment","interactions":[],"lastModifiedDate":"2016-06-17T10:53:37","indexId":"70159662","displayToPublicDate":"2015-06-23T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5020,"text":"Microorganisms","active":true,"publicationSubtype":{"id":10}},"title":"Methane oxidation and molecular characterization of methanotrophs from a former mercury mine impoundment","docAbstract":"<p><span>The Herman Pit, once a mercury mine, is an impoundment located in an active geothermal area. Its acidic waters are permeated by hundreds of gas seeps. One seep was sampled and found to be composed of mostly CO</span><sub><span>2</span></sub><span>&nbsp;with some CH</span><sub><span>4</span></sub><span>&nbsp;present. The &delta;</span><sup><span>13</span></sup><span>CH</span><sub><span>4</span></sub><span>&nbsp;value suggested a complex origin for the methane:&nbsp;</span><i>i.e.</i><span>, a thermogenic component plus a biological methanogenic portion. The relatively&nbsp;</span><sup><span>12</span></sup><span>C-enriched CO</span><sub><span>2</span></sub><span>&nbsp;suggested a reworking of the ebullitive methane by methanotrophic bacteria. Therefore, we tested bottom sediments for their ability to consume methane by conducting aerobic incubations of slurried materials. Methane was removed from the headspace of live slurries, and subsequent additions of methane resulted in faster removal rates. This activity could be transferred to an artificial, acidic medium, indicating the presence of acidophilic or acid-tolerant methanotrophs, the latter reinforced by the observation of maximum activity at pH = 4.5 with incubated slurries. A successful extraction of sterol and hopanoid lipids characteristic of methanotrophs was achieved, and their abundances greatly increased with increased sediment methane consumption. DNA extracted from methane-oxidizing enrichment cultures was amplified and sequenced for&nbsp;</span><i>pmoA</i><span>&nbsp;genes that aligned with methanotrophic members of the&nbsp;</span><i>Gammaproteobacteria</i><span>. An enrichment culture was established that grew in an acidic (pH 4.5) medium via methane oxidation.</span></p>","language":"English","publisher":"MDPI AG","publisherLocation":"Basel, Switzerland","doi":"10.3390/microorganisms3020290","usgsCitation":"Baesman, S., Miller, L., Wei, J.H., Cho, Y., Matys, E.D., Summons, R.E., Welander, P.V., and Oremland, R.S., 2015, Methane oxidation and molecular characterization of methanotrophs from a former mercury mine impoundment: Microorganisms, v. 3, no. 2, p. 290-309, https://doi.org/10.3390/microorganisms3020290.","productDescription":"20 p.","startPage":"290","endPage":"309","numberOfPages":"20","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065275","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":472000,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/microorganisms3020290","text":"Publisher Index Page"},{"id":323872,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Herman Mine","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.69239425659178,\n              39.01958379846303\n            ],\n            [\n              -122.6912784576416,\n              38.99717425427704\n            ],\n            [\n              -122.6353168487549,\n              38.9943058537613\n            ],\n            [\n              -122.63608932495117,\n              39.01991722020987\n            ],\n            [\n              -122.63583183288573,\n              39.025118395874074\n            ],\n            [\n              -122.69265174865723,\n              39.02385147807989\n            ],\n            [\n              -122.69239425659178,\n              39.01958379846303\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"3","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-06-23","publicationStatus":"PW","scienceBaseUri":"57651f37e4b07657d19c78d3","contributors":{"authors":[{"text":"Baesman, Shaun 0000-0003-0741-8269 sbaesman@usgs.gov","orcid":"https://orcid.org/0000-0003-0741-8269","contributorId":3478,"corporation":false,"usgs":true,"family":"Baesman","given":"Shaun","email":"sbaesman@usgs.gov","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":579960,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, Laurence G. 0000-0002-7807-3475 lgmiller@usgs.gov","orcid":"https://orcid.org/0000-0002-7807-3475","contributorId":2460,"corporation":false,"usgs":true,"family":"Miller","given":"Laurence G.","email":"lgmiller@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":579961,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wei, Jeremy H.","contributorId":149899,"corporation":false,"usgs":false,"family":"Wei","given":"Jeremy","email":"","middleInitial":"H.","affiliations":[{"id":17850,"text":"Dept of Earth System Science, Stanford University, Stanford, CA 94305","active":true,"usgs":false}],"preferred":false,"id":579962,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cho, Yirang","contributorId":44112,"corporation":false,"usgs":true,"family":"Cho","given":"Yirang","email":"","affiliations":[],"preferred":false,"id":579963,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Matys, Emily D.","contributorId":149900,"corporation":false,"usgs":false,"family":"Matys","given":"Emily","email":"","middleInitial":"D.","affiliations":[{"id":17851,"text":"Dept of Earth, Atmospheric, and Planetary Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139","active":true,"usgs":false}],"preferred":false,"id":579964,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Summons, Roger E.","contributorId":57369,"corporation":false,"usgs":true,"family":"Summons","given":"Roger","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":579965,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Welander, Paula V.","contributorId":149901,"corporation":false,"usgs":false,"family":"Welander","given":"Paula","email":"","middleInitial":"V.","affiliations":[{"id":17850,"text":"Dept of Earth System Science, Stanford University, Stanford, CA 94305","active":true,"usgs":false}],"preferred":false,"id":579966,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Oremland, Ronald S. 0000-0001-7382-0147 roremlan@usgs.gov","orcid":"https://orcid.org/0000-0001-7382-0147","contributorId":931,"corporation":false,"usgs":true,"family":"Oremland","given":"Ronald","email":"roremlan@usgs.gov","middleInitial":"S.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":579959,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70148071,"text":"sir20155063 - 2015 - Chance findings about early holocene tidal marshes of Grays Harbor, Washington, in relation to rapidly rising seas and great subduction earthquakes","interactions":[],"lastModifiedDate":"2016-06-23T16:10:31","indexId":"sir20155063","displayToPublicDate":"2015-06-19T08:30:00","publicationYear":"2015","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":"2015-5063","title":"Chance findings about early holocene tidal marshes of Grays Harbor, Washington, in relation to rapidly rising seas and great subduction earthquakes","docAbstract":"<p>Tidal marshes commonly build upward apace with gradual rise in the level of the sea. It is expected, however, that few tidal marshes will keep up with accelerated sea-level rise later in this century. Tidal marshes have been drowned, moreover, after subsiding during earthquakes.</p>\n<p>This report tells of ancient marshes that endured rapid sea-level rise in a region that subsides during earthquakes. The soils of these marshes were unexpectedly encountered in borings for a public-works project at Grays Harbor, Washington. The borings were logged quickly and only a few of the core sections were conserved. The limited findings pose puzzles about how the ancient marshes endured and what their history implies for earthquake hazards.</p>\n<p>The borings establish that tidal marshes persisted during the early Holocene at Grays Harbor, an estuary along the Cascadia Subduction Zone of western North America. The persistent marshes are recorded by a unit of peaty mud up to 10 m thick and as much as 40 m below present sea level in the drowned valley of the Chehalis River. The unit was encountered in two areas 4 km apart that were tidal flats in the 19th century. The marshes originated less than 10,000 years ago and endured through most or all of an estimated 500&ndash;1,500 years.</p>\n<p>The borings further show that these persistent marshes eventually yielded to tidal flats, tidal channels, or both. The change is marked by sand and mud that overlie the peaty mud at a typically sharp contact. The marshes were drowned about 8,600&ndash;8,400 years ago if the sand and mud buried them promptly, or later if the sand and mud filled channels that migrated across the peaty mud. In one of the studied areas, tidal marshes became re-established locally in the early Holocene and widely in the middle Holocene, and deposits of middle Holocene marshes were overrun as recently as 1,000 years ago by a gravelly tidal channel. In the other area, tidal-flat and probably subtidal deposits make up all of the middle and late Holocene section below artificial fill; if marshes became re-established in this area after about 8,600&ndash;8,400 years ago, their deposits have been lost to erosion.</p>\n<p>The puzzles posed by these findings include: (1) How did the marshes manage to endure centuries of relative sea-level rise that likely approached 1 cm/yr on average? (2) Did the marshes also endure subsidence that accompanied great thrust earthquakes on the Cascadia Subduction Zone? (3) Was their eventual drowning triggered by a Cascadia earthquake of unusually large size, or can the drowning be explained by sea-level rise that included a jump from drainage of glacial Lake Agassiz?</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155063","usgsCitation":"Phipps, J.B., Hemphill-Haley, E., and Atwater, B.F., 2015, Chance findings about early Holocene tidal marshes of Grays Harbor, Washington, in relation to rapidly rising seas and great subduction earthquakes (ver. 1.1, May 2016): U.S. Geological Survey Scientific Investigations Report 2015–5063, 36 p., https://dx.doi.org/10.3133/sir20155063.","productDescription":"v, 36 p.","numberOfPages":"46","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-061411","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":301307,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5063/pdf/sir2015-5063_report.pdf","text":"Report","size":"2.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5063 Report"},{"id":301290,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2015/5063/"},{"id":321432,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2015/5063/images/coverthb2.jpg"},{"id":321448,"rank":4,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sir/2015/5063/versionHistory.txt","size":"644 B","linkFileType":{"id":2,"text":"txt"},"description":"SIR 2015-5063 Version History"}],"country":"United States","state":"Washington","otherGeospatial":"Grays Harbor","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.1949462890625,\n              46.842346477463266\n            ],\n            [\n              -124.1949462890625,\n              47.05562189093551\n            ],\n            [\n              -123.7445068359375,\n              47.05562189093551\n            ],\n            [\n              -123.7445068359375,\n              46.842346477463266\n            ],\n            [\n              -124.1949462890625,\n              46.842346477463266\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Earthquake Science Center, Seattle, Washington Field Office<br> U.S. Geological Survey<br> Dept. Earth &amp; Space Sciences<br> University of Washington, Box 351310<br> Seattle, WA 98195-1310<br> <a href=\"http://earthquake.usgs.gov/\" target=\"blank\" data-mce-href=\"http://earthquake.usgs.gov/\">http://earthquake.usgs.gov/</a></p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Background</li><li>Setting</li><li>Methods</li><li>Stratigraphy</li><li>Inferred Tidal-Marsh History</li><li>Implications for 21st-Century Tidal Marshes</li><li>Implications for Earthquake History</li><li>Suggestions for Further Work</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2015-06-18","revisedDate":"2016-05-19","noUsgsAuthors":false,"publicationDate":"2015-06-18","publicationStatus":"PW","scienceBaseUri":"55852f1ae4b023124e8f5aa1","contributors":{"authors":[{"text":"Phipps, James B.","contributorId":140837,"corporation":false,"usgs":false,"family":"Phipps","given":"James","email":"","middleInitial":"B.","affiliations":[{"id":13591,"text":"Grays Harbor College, emeritus","active":true,"usgs":false}],"preferred":false,"id":548890,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hemphill-Haley, Eileen 0000-0002-6988-5906","orcid":"https://orcid.org/0000-0002-6988-5906","contributorId":84366,"corporation":false,"usgs":true,"family":"Hemphill-Haley","given":"Eileen","email":"","affiliations":[],"preferred":false,"id":548891,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Atwater, Brian F. 0000-0003-1155-2815 atwater@usgs.gov","orcid":"https://orcid.org/0000-0003-1155-2815","contributorId":3297,"corporation":false,"usgs":true,"family":"Atwater","given":"Brian","email":"atwater@usgs.gov","middleInitial":"F.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":548889,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70155898,"text":"70155898 - 2015 - Estimating population size for Capercaillie (<i>Tetrao urogallus</i> L.) with spatial capture-recapture models based on genotypes from one field sample","interactions":[],"lastModifiedDate":"2015-08-17T10:32:35","indexId":"70155898","displayToPublicDate":"2015-06-18T11:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Estimating population size for Capercaillie (<i>Tetrao urogallus</i> L.) with spatial capture-recapture models based on genotypes from one field sample","docAbstract":"<p><span>We conducted a survey of an endangered and cryptic forest grouse, the capercaillie&nbsp;</span><i>Tetrao urogallus</i><span>, based on droppings collected on two sampling occasions in eight forest fragments in central Switzerland in early spring 2009. We used genetic analyses to sex and individually identify birds. We estimated sex-dependent detection probabilities and population size using a modern spatial capture-recapture (SCR) model for the data from pooled surveys. A total of 127 capercaillie genotypes were identified (77 males, 46 females, and 4 of unknown sex). The SCR model yielded atotal population size estimate (posterior mean) of 137.3 capercaillies (posterior sd 4.2, 95% CRI 130&ndash;147). The observed sex ratio was skewed towards males (0.63). The posterior mean of the sex ratio under the SCR model was 0.58 (posterior sd 0.02, 95% CRI 0.54&ndash;0.61), suggesting a male-biased sex ratio in our study area. A subsampling simulation study indicated that a reduced sampling effort representing 75% of the actual detections would still yield practically acceptable estimates of total size and sex ratio in our population. Hence, field work and financial effort could be reduced without compromising accuracy when the SCR model is used to estimate key population parameters of cryptic species.</span></p>","language":"English","publisher":"Public Library of Science","publisherLocation":"San Francisco, CA","doi":"10.1371/journal.pone.0129020","usgsCitation":"Mollet, P., Kery, M., Gardner, B., Pasinelli, G., and Royle, A., 2015, Estimating population size for Capercaillie (<i>Tetrao urogallus</i> L.) with spatial capture-recapture models based on genotypes from one field sample: PLoS ONE, v. 10, no. 6, p. 1-16, https://doi.org/10.1371/journal.pone.0129020.","productDescription":"16 p.","startPage":"1","endPage":"16","numberOfPages":"16","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065910","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":472006,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0129020","text":"Publisher Index Page"},{"id":306781,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"6","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2015-06-18","publicationStatus":"PW","scienceBaseUri":"55d305b2e4b0518e35468cf5","contributors":{"authors":[{"text":"Mollet, Pierre","contributorId":146551,"corporation":false,"usgs":false,"family":"Mollet","given":"Pierre","email":"","affiliations":[],"preferred":false,"id":568217,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kery, Marc","contributorId":38680,"corporation":false,"usgs":true,"family":"Kery","given":"Marc","affiliations":[],"preferred":false,"id":568218,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gardner, Beth","contributorId":91612,"corporation":false,"usgs":false,"family":"Gardner","given":"Beth","affiliations":[{"id":13553,"text":"University of Washington-Seattle","active":true,"usgs":false}],"preferred":false,"id":568219,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pasinelli, Gilberto","contributorId":146552,"corporation":false,"usgs":false,"family":"Pasinelli","given":"Gilberto","email":"","affiliations":[],"preferred":false,"id":568220,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Royle, J. Andrew 0000-0003-3135-2167 aroyle@usgs.gov","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":146229,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","email":"aroyle@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":566695,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70148595,"text":"70148595 - 2015 - On the reliability of Quake-Catcher Network earthquake detections","interactions":[],"lastModifiedDate":"2015-06-17T11:41:44","indexId":"70148595","displayToPublicDate":"2015-06-17T12:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"On the reliability of Quake-Catcher Network earthquake detections","docAbstract":"<p><span>Over the past two decades, there have been several initiatives to create volunteer‐based seismic networks. The Personal Seismic Network, proposed around 1990, used a short‐period seismograph to record earthquake waveforms using existing phone lines (</span><a id=\"xref-ref-13-1\" class=\"xref-bibr\" href=\"http://srl.geoscienceworld.org/content/86/3/856.full#ref-13\">Cranswick and Banfill, 1990</a><span>;&nbsp;</span><a id=\"xref-ref-14-1\" class=\"xref-bibr\" href=\"http://srl.geoscienceworld.org/content/86/3/856.full#ref-14\">Cranswick<i>et&nbsp;al.</i>, 1993</a><span>). NetQuakes (</span><a id=\"xref-ref-26-1\" class=\"xref-bibr\" href=\"http://srl.geoscienceworld.org/content/86/3/856.full#ref-26\">Luetgert&nbsp;<i>et&nbsp;al.</i>, 2010</a><span>) deploys triaxial Micro‐Electromechanical Systems (MEMS) sensors in private homes, businesses, and public buildings where there is an Internet connection. Other seismic networks using a dense array of low‐cost MEMS sensors are the Community Seismic Network (</span><a id=\"xref-ref-9-1\" class=\"xref-bibr\" href=\"http://srl.geoscienceworld.org/content/86/3/856.full#ref-9\">Clayton&nbsp;<i>et&nbsp;al.</i>, 2012</a><span>;&nbsp;</span><a id=\"xref-ref-22-1\" class=\"xref-bibr\" href=\"http://srl.geoscienceworld.org/content/86/3/856.full#ref-22\">Kohler&nbsp;<i>et&nbsp;al.</i>, 2013</a><span>) and the Home Seismometer Network (</span><a id=\"xref-ref-21-1\" class=\"xref-bibr\" href=\"http://srl.geoscienceworld.org/content/86/3/856.full#ref-21\">Horiuchi&nbsp;<i>et&nbsp;al.</i>, 2009</a><span>). One main advantage of combining low‐cost MEMS sensors and existing Internet connection in public and private buildings over the traditional networks is the reduction in installation and maintenance costs (</span><a id=\"xref-ref-23-1\" class=\"xref-bibr\" href=\"http://srl.geoscienceworld.org/content/86/3/856.full#ref-23\">Koide&nbsp;<i>et&nbsp;al.</i>, 2006</a><span>). In doing so, it is possible to create a dense seismic network for a fraction of the cost of traditional seismic networks (</span><a id=\"xref-ref-16-1\" class=\"xref-bibr\" href=\"http://srl.geoscienceworld.org/content/86/3/856.full#ref-16\">D&rsquo;Alessandro and D&rsquo;Anna, 2013</a><span>;&nbsp;</span><a id=\"xref-ref-15-1\" class=\"xref-bibr\" href=\"http://srl.geoscienceworld.org/content/86/3/856.full#ref-15\">D&rsquo;Alessandro, 2014</a><span>;&nbsp;</span><a id=\"xref-ref-17-1\" class=\"xref-bibr\" href=\"http://srl.geoscienceworld.org/content/86/3/856.full#ref-17\">D&rsquo;Alessandro&nbsp;<i>et&nbsp;al.</i>, 2014</a><span>).</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220140218","usgsCitation":"Yildirim, B., Cochran, E.S., Chung, A., Christensen, C.M., and Lawrence, J.F., 2015, On the reliability of Quake-Catcher Network earthquake detections: Seismological Research Letters, v. 86, p. 856-869, https://doi.org/10.1785/0220140218.","productDescription":"14 p.","startPage":"856","endPage":"869","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060617","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":301278,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"86","edition":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-04-01","publicationStatus":"PW","scienceBaseUri":"55828c23e4b023124e8f3fae","contributors":{"authors":[{"text":"Yildirim, Battalgazi","contributorId":141195,"corporation":false,"usgs":false,"family":"Yildirim","given":"Battalgazi","email":"","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":548805,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cochran, Elizabeth S. 0000-0003-2485-4484 ecochran@usgs.gov","orcid":"https://orcid.org/0000-0003-2485-4484","contributorId":2025,"corporation":false,"usgs":true,"family":"Cochran","given":"Elizabeth","email":"ecochran@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":548804,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chung, Angela","contributorId":141196,"corporation":false,"usgs":false,"family":"Chung","given":"Angela","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":548806,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Christensen, Carl M.","contributorId":141197,"corporation":false,"usgs":false,"family":"Christensen","given":"Carl","email":"","middleInitial":"M.","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":548807,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lawrence, Jesse F.","contributorId":141198,"corporation":false,"usgs":false,"family":"Lawrence","given":"Jesse","email":"","middleInitial":"F.","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":548808,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70178131,"text":"70178131 - 2015 - Increasing seismicity in the U. S. midcontinent: Implications for earthquake hazard","interactions":[],"lastModifiedDate":"2016-11-03T13:10:36","indexId":"70178131","displayToPublicDate":"2015-06-17T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3568,"text":"The Leading Edge","active":true,"publicationSubtype":{"id":10}},"title":"Increasing seismicity in the U. S. midcontinent: Implications for earthquake hazard","docAbstract":"<p><span>Earthquake activity in parts of the central United States has increased dramatically in recent years. The space-time distribution of the increased seismicity, as well as numerous published case studies, indicates that the increase is of anthropogenic origin, principally driven by injection of wastewater coproduced with oil and gas from tight formations. Enhanced oil recovery and long-term production also contribute to seismicity at a few locations. Preliminary hazard models indicate that areas experiencing the highest rate of earthquakes in 2014 have a short-term (one-year) hazard comparable to or higher than the hazard in the source region of tectonic earthquakes in the New Madrid and Charleston seismic zones.</span><span><br></span></p>","language":"English","publisher":"Society of Exploration Geophysicists","publisherLocation":"Tulsa, OK","doi":"10.1190/tle34060618.1","usgsCitation":"Ellsworth, W.L., Llenos, A.L., McGarr, A.F., Michael, A.J., Rubinstein, J.L., Mueller, C.S., Petersen, M.D., and Calais, E., 2015, Increasing seismicity in the U. S. midcontinent: Implications for earthquake hazard: The Leading Edge, v. 34, no. 6, p. 618-626, https://doi.org/10.1190/tle34060618.1.","productDescription":"7 p.","startPage":"618","endPage":"626","ipdsId":"IP-063489","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":472013,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.openaccessrepository.it/record/45912","text":"External Repository"},{"id":330704,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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,{"id":70188062,"text":"70188062 - 2015 - Projection of corn production and stover-harvesting impacts on soil organic carbon dynamics in the U.S. Temperate Prairies","interactions":[],"lastModifiedDate":"2017-05-31T16:08:46","indexId":"70188062","displayToPublicDate":"2015-06-17T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Projection of corn production and stover-harvesting impacts on soil organic carbon dynamics in the U.S. Temperate Prairies","docAbstract":"<p><span>Terrestrial carbon sequestration potential is widely considered as a realistic option for mitigating greenhouse gas emissions. However, this potential may be threatened by global changes including climate, land use, and management changes such as increased corn stover harvesting for rising production of cellulosic biofuel. Therefore, it is critical to investigate the dynamics of soil organic carbon (SOC) at regional or global scale. This study simulated the corn production and spatiotemporal changes of SOC in the U.S. Temperate Prairies, which covers over one-third of the U.S. corn acreage, using a biogeochemical model with multiple climate and land-use change projections. The corn production (either grain yield or stover biomass) could reach 88.7–104.7 TgC as of 2050, 70–101% increase when compared to the base year of 2010. A removal of 50% stover at the regional scale could be a reasonable cap in view of maintaining SOC content and soil fertility especially in the beginning years. The projected SOC dynamics indicated that the average carbon sequestration potential across the entire region may vary from 12.7 to 19.6 g C/m</span><sup>2</sup><span>/yr (i.e., 6.6–10.2 g TgC/yr). This study not only helps understand SOC dynamics but also provides decision support for sustainable biofuel development.</span></p>","language":"English","publisher":"Nature Publishing Group","doi":"10.1038/srep10830","usgsCitation":"Wu, Y., Liu, S., Young, C.J., Dahal, D., Sohl, T.L., and Davis, B., 2015, Projection of corn production and stover-harvesting impacts on soil organic carbon dynamics in the U.S. Temperate Prairies: Scientific Reports, v. 5, Article 10830: 12 p., https://doi.org/10.1038/srep10830.","productDescription":"Article 10830: 12 p.","ipdsId":"IP-064045","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":472016,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/srep10830","text":"Publisher Index Page"},{"id":341844,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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(Geography)","active":false,"usgs":true}],"preferred":true,"id":696362,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Young, Claudia J. 0000-0002-0859-7206 cyoung@usgs.gov","orcid":"https://orcid.org/0000-0002-0859-7206","contributorId":2770,"corporation":false,"usgs":true,"family":"Young","given":"Claudia","email":"cyoung@usgs.gov","middleInitial":"J.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":696363,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dahal, Devendra 0000-0001-9594-1249 ddahal@usgs.gov","orcid":"https://orcid.org/0000-0001-9594-1249","contributorId":5622,"corporation":false,"usgs":true,"family":"Dahal","given":"Devendra","email":"ddahal@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":696364,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sohl, Terry L. 0000-0002-9771-4231 sohl@usgs.gov","orcid":"https://orcid.org/0000-0002-9771-4231","contributorId":648,"corporation":false,"usgs":true,"family":"Sohl","given":"Terry","email":"sohl@usgs.gov","middleInitial":"L.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":696365,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Davis, Brian","contributorId":57142,"corporation":false,"usgs":true,"family":"Davis","given":"Brian","affiliations":[],"preferred":false,"id":696366,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70189946,"text":"70189946 - 2015 - Baseline and premining geochemical characterization of mined sites","interactions":[],"lastModifiedDate":"2017-07-31T13:35:46","indexId":"70189946","displayToPublicDate":"2015-06-16T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Baseline and premining geochemical characterization of mined sites","docAbstract":"<p><span>A rational goal for environmental restoration of new, active, or inactive mine sites would be ‘natural background’ or the environmental conditions that existed before any mining activities or other related anthropogenic activities. In a strictly technical sense, there is no such thing as natural background (or entirely non-anthropogenic) existing today because there is no part of the planet earth that has not had at least some chemical disturbance from anthropogenic activities. Hence, the terms ‘baseline’ and ‘pre-mining’ are preferred to describe these conditions. Baseline conditions are those that existed at the time of the characterization which could be pre-mining, during mining, or post-mining. Protocols for geochemically characterizing pre-mining conditions are not well-documented for sites already mined but there are two approaches that seem most direct and least ambiguous. One is characterization of analog sites along with judicious application of geochemical modeling. The other is reactive-transport modeling (based on careful synoptic sampling with tracer-injection) and subtracting inputs from known mining and mineral processing. Several examples of acidic drainage are described from around the world documenting the range of water compositions produced from pyrite oxidation in the absence of mining. These analog sites provide insight to the processes forming mineralized waters in areas untouched by mining. Natural analog water-chemistry data is compared with the higher metal concentrations, metal fluxes, and weathering rates found in mined areas in the few places where comparisons are possible. The differences are generally 1–3 orders of magnitude higher for acid mine drainage.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2014.12.010","usgsCitation":"Nordstrom, D.K., 2015, Baseline and premining geochemical characterization of mined sites: Applied Geochemistry, v. 57, p. 17-34, https://doi.org/10.1016/j.apgeochem.2014.12.010.","productDescription":"18 p.","startPage":"17","endPage":"34","ipdsId":"IP-061799","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":344471,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"57","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5980419ce4b0a38ca2789358","contributors":{"authors":[{"text":"Nordstrom, D. Kirk 0000-0003-3283-5136 dkn@usgs.gov","orcid":"https://orcid.org/0000-0003-3283-5136","contributorId":749,"corporation":false,"usgs":true,"family":"Nordstrom","given":"D.","email":"dkn@usgs.gov","middleInitial":"Kirk","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":false,"id":706847,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70189125,"text":"70189125 - 2015 - A reply to Iversen et al.'s comment “Monitoring of animal abundance by environmental DNA - An increasingly obscure perspective”","interactions":[],"lastModifiedDate":"2021-06-04T16:04:14.96278","indexId":"70189125","displayToPublicDate":"2015-06-16T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"A reply to Iversen et al.'s comment “Monitoring of animal abundance by environmental DNA - An increasingly obscure perspective”","docAbstract":"<p>We appreciate the conversation put forward by Iversen et al. (2015) in their response to our article “Quantification of eDNA shedding rates from invasive bighead carp <i>Hypophthalmichthys</i> <i>nobilis</i> and silver carp <i>Hypophthalmichthys</i> <i>molitrix</i>” in the 2015 environmental DNA special issue of Biological Conservation.</p><p>We agree with Iversen et al.'s concern about overly optimistic conclusions that could be drawn from the current eDNA literature. One hope for eDNA technology is that it can be used in estimating abundance or population density. Evidence suggests that eDNA measurements correlate with total biomass (Takahara et al., 2012) rather than abundance. We demonstrate a similar relationship between biomass and eDNA shedding rates. Nevertheless, without field testing of these methods and specific survey protocols, we cannot make strong conclusions regarding the technique's field applicability. In our manuscript, we attempted to point out areas in which more research is needed.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2015.09.025","usgsCitation":"Klymus, K.E., Richter, C.A., Chapman, D., and Paukert, C.P., 2015, A reply to Iversen et al.'s comment “Monitoring of animal abundance by environmental DNA - An increasingly obscure perspective”: Biological Conservation, v. 192, p. 481-482, https://doi.org/10.1016/j.biocon.2015.09.025.","productDescription":"2 p.","startPage":"481","endPage":"482","ipdsId":"IP-068606","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":343228,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"192","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59576336e4b0d1f9f051b518","contributors":{"authors":[{"text":"Klymus, Katy E. 0000-0002-8843-6241 kklymus@usgs.gov","orcid":"https://orcid.org/0000-0002-8843-6241","contributorId":5043,"corporation":false,"usgs":true,"family":"Klymus","given":"Katy","email":"kklymus@usgs.gov","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":703081,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Richter, Cathy A. 0000-0001-7322-4206 crichter@usgs.gov","orcid":"https://orcid.org/0000-0001-7322-4206","contributorId":1878,"corporation":false,"usgs":true,"family":"Richter","given":"Cathy","email":"crichter@usgs.gov","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":703082,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chapman, Duane 0000-0002-1086-8853 dchapman@usgs.gov","orcid":"https://orcid.org/0000-0002-1086-8853","contributorId":1291,"corporation":false,"usgs":true,"family":"Chapman","given":"Duane","email":"dchapman@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":703083,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":703084,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70188317,"text":"70188317 - 2015 - The challenges of remote monitoring of wetlands","interactions":[],"lastModifiedDate":"2017-06-06T10:44:23","indexId":"70188317","displayToPublicDate":"2015-06-16T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"The challenges of remote monitoring of wetlands","docAbstract":"<p><span>Wetlands are highly productive and support a wide variety of ecosystem goods and services. Various forms of global change impose compelling needs for timely and reliable information on the status of wetlands worldwide, but several characteristics of wetlands make them challenging to monitor remotely: they lack a single, unifying land-cover feature; they tend to be highly dynamic and their energy signatures are constantly changing; and steep environmental gradients in and around wetlands produce narrow ecotones that often are below the resolving capacity of remote sensors. These challenges and needs set the context for a special issue focused on wetland remote sensing. Contributed papers responded to one of three overarching questions aimed at improving remote, large-area monitoring of wetlands: (1) What approaches and data products are being developed specifically to support regional to global long-term monitoring of wetland landscapes? (2) What are the promising new technologies and sensor/multisensor approaches for more accurate and consistent detection of wetlands? (3) Are there studies that demonstrate how remote long-term monitoring of wetland landscapes can reveal changes that correspond with changes in land cover and land use and/or changes in climate?</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/rs70810938","usgsCitation":"Gallant, A.L., 2015, The challenges of remote monitoring of wetlands: Remote Sensing, v. 7, no. 8, p. 10938-10950, https://doi.org/10.3390/rs70810938.","productDescription":"13 p.","startPage":"10938","endPage":"10950","ipdsId":"IP-068289","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":472018,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs70810938","text":"Publisher Index Page"},{"id":342136,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"8","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2015-08-24","publicationStatus":"PW","scienceBaseUri":"5937bf2ee4b0f6c2d0d9c76b","contributors":{"authors":[{"text":"Gallant, Alisa L. 0000-0002-3029-6637 gallant@usgs.gov","orcid":"https://orcid.org/0000-0002-3029-6637","contributorId":2940,"corporation":false,"usgs":true,"family":"Gallant","given":"Alisa","email":"gallant@usgs.gov","middleInitial":"L.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":697190,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70189621,"text":"70189621 - 2015 - Surface monitoring of microseismicity at the Decatur, Illinois, CO2 sequestration demonstration site","interactions":[],"lastModifiedDate":"2019-06-03T13:25:10","indexId":"70189621","displayToPublicDate":"2015-06-10T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Surface monitoring of microseismicity at the Decatur, Illinois, CO2 sequestration demonstration site","docAbstract":"<p>Sequestration of CO2 into subsurface reservoirs can play an important role in limiting future emission of CO2 into the atmosphere (e.g., Benson and Cole, 2008). For geologic sequestration to become a viable option to reduce greenhouse gas emissions, large-volume injection of supercritical CO2 into deep sedimentary formations is required. These formations offer large pore volumes and good pore connectivity and are abundant (Bachu, 2003; U.S. Geological Survey Geologic Carbon Dioxide Storage Resources Assessment Team, 2013). However, hazards associated with injection of CO2 into deep formations require evaluation before widespread sequestration can be adopted safely (Zoback and Gorelick, 2012). One of these hazards is the potential to induce seismicity on pre-existing faults or fractures. If these faults or fractures are large and critically stressed, seismic events can occur with magnitudes large enough to pose a hazard to surface installations and, possibly more critical, the seal integrity of the cap rock.</p><p>The Decatur, Illinois, carbon capture and storage (CCS) demonstration site is the first, and to date, only CCS project in the United States that injects a large volume of supercritical CO2 into a regionally extensive, undisturbed saline formation. The first phase of the Decatur CCS project was completed in November 2014 after injecting a million metric tons of supercritical CO2 over three years. This phase was led by the Illinois State Geological Survey (ISGS) and included seismic monitoring using deep borehole sensors, with a few sensors installed within the injection horizon. Although the deep borehole network provides a more comprehensive seismic catalog than is presented in this paper, these deep data are not publicly available. We contend that for monitoring induced microseismicity as a possible seismic hazard and to elucidate the general patterns of microseismicity, the U.S. Geological Survey (USGS) surface and shallow borehole network described below provides an adequate event detection threshold.</p><p>The formation targeted for injection is the Mount Simon Sandstone, which is laterally extensive, has high porosity and permeability and has the potential to host future CCS projects due to its favorable hydrologic characteristics and proximity to industrial sources of CO2 (Birkholzer and Zhou, 2009). At Decatur, CO2, a byproduct of ethanol production at the Archer Daniels Midland (ADM) facility, is compressed to supercritical state and injected at 2.1 km depth into the 460 m thick Mount Simon Sandstone. This sandstone has varying properties, ranging from the lower, fine- to coarse-grained sandstone with high permeability and porosity, to the middle and upper Mount Simon, which consist of planar, cross-bedded layers of varied permeability and porosity (Leetaru and Freiburg, 2014). The changes in permeability and porosity within the Mount Simon Sandstone, due to depositional and diagenetic differences, create horizontal baffles, which inhibit vertical flow and restrict the injected CO2 to remain near the injection horizon (Bowen et al., 2011). The lowest portion of the Mount Simon Sandstone overlying the Precambrian rhyolite basement is the Pre-Mount Simon interval, generally  &lt; 15 m in thickness and composed of fine- to medium-grain size sandstone that is highly deformed (Leetaru and Freiburg, 2014). The basement rhyolite has a clayrich matrix and is fractured, with significant alterations within the fractures. The primary sealing cap rock is the Eau Claire Formation, a 100–150 m thick unit at a depth of roughly 1.69 km (Leetaru and Freiburg, 2014). The Maquoketa Shale Group and the New Albany Shale serve as secondary and tertiary seals at shallower depths of ∼820 and ∼650 m, respectively.</p><p>The ISGS managed the Illinois Basin–Decatur Project (IBDP), a three-year project beginning in November 2011, during which carbon dioxide was injected at a rate of ∼1000 metric tons per day until November 2014 (Finley et al., 2011, 2013). ADM manages the Illinois Industrial CCS (ICCS) project, which will inject ∼3000 metric tons/day into a second injection well starting in the summer of 2015.</p><p>The USGS began monitoring microseismicity with a 13- station seismic network at Decatur in July 2013 (Fig. 1). This network provides good detection capabilities and azimuthal (focal sphere) coverage for microseismicity with moment magnitudes (Mw) above about −0:5. Here, we report on 19 months of microseismicity monitoring at the Decatur CO2 sequestration site, which permits a detailed look at the evolution and character of injection-induced seismicity.</p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220150062","usgsCitation":"Kaven, J., Hickman, S.H., McGarr, A.F., and Ellsworth, W.L., 2015, Surface monitoring of microseismicity at the Decatur, Illinois, CO2 sequestration demonstration site: Seismological Research Letters, v. 86, no. 4, p. 1096-1101, https://doi.org/10.1785/0220150062.","productDescription":"6 p. ","startPage":"1096","endPage":"1101","ipdsId":"IP-064149","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":344016,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois","city":"Decatur","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -89.09088134765625,\n              39.706130149279325\n            ],\n            [\n              -88.78326416015625,\n              39.706130149279325\n            ],\n            [\n              -88.78326416015625,\n              39.9634381223102\n            ],\n            [\n              -89.09088134765625,\n              39.9634381223102\n            ],\n            [\n              -89.09088134765625,\n              39.706130149279325\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"86","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-06-10","publicationStatus":"PW","scienceBaseUri":"59706fb9e4b0d1f9f065a8c5","contributors":{"authors":[{"text":"Kaven, J. Ole 0000-0003-2625-2786 okaven@usgs.gov","orcid":"https://orcid.org/0000-0003-2625-2786","contributorId":3993,"corporation":false,"usgs":true,"family":"Kaven","given":"J. Ole","email":"okaven@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":705466,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hickman, Stephen H. 0000-0003-2075-9615 hickman@usgs.gov","orcid":"https://orcid.org/0000-0003-2075-9615","contributorId":2705,"corporation":false,"usgs":true,"family":"Hickman","given":"Stephen","email":"hickman@usgs.gov","middleInitial":"H.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":705467,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McGarr, Arthur F. 0000-0001-9769-4093 mcgarr@usgs.gov","orcid":"https://orcid.org/0000-0001-9769-4093","contributorId":3178,"corporation":false,"usgs":true,"family":"McGarr","given":"Arthur","email":"mcgarr@usgs.gov","middleInitial":"F.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":705468,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ellsworth, William L. ellsworth@usgs.gov","contributorId":787,"corporation":false,"usgs":true,"family":"Ellsworth","given":"William","email":"ellsworth@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":705469,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70156221,"text":"70156221 - 2015 - Dynamic rupture models of earthquakes on the Bartlett Springs Fault, Northern California","interactions":[],"lastModifiedDate":"2015-08-18T08:06:12","indexId":"70156221","displayToPublicDate":"2015-06-05T01:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Dynamic rupture models of earthquakes on the Bartlett Springs Fault, Northern California","docAbstract":"<p>The Bartlett Springs Fault (BSF), the easternmost branch of the northern San Andreas Fault system, creeps along much of its length. Geodetic data for the BSF are sparse, and surface creep rates are generally poorly constrained. The two existing geodetic slip rate inversions resolve at least one locked patch within the creeping zones. We use the 3-D finite element code FaultMod to conduct dynamic rupture models based on both geodetic inversions, in order to determine the ability of rupture to propagate into the creeping regions, as well as to assess possible magnitudes for BSF ruptures. For both sets of models, we find that the distribution of aseismic creep limits the extent of coseismic rupture, due to the contrast in frictional properties between the locked and creeping regions.</p>","language":"English","publisher":"Wiley","doi":"10.1002/2015GL063802","usgsCitation":"Lozos, J.C., Harris, R.A., Murray, J.R., and Lienkaemper, J.J., 2015, Dynamic rupture models of earthquakes on the Bartlett Springs Fault, Northern California: Geophysical Research Letters, v. 42, no. 11, p. 4343-4349, https://doi.org/10.1002/2015GL063802.","productDescription":"7 p.","startPage":"4343","endPage":"4349","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060677","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":306828,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Bartlett Springs Fault, Northern California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.5025634765625,\n              37.931200459333716\n            ],\n            [\n              -124.5025634765625,\n              40.29628651711716\n            ],\n            [\n              -120.83312988281249,\n              40.29628651711716\n            ],\n            [\n              -120.83312988281249,\n              37.931200459333716\n            ],\n            [\n              -124.5025634765625,\n              37.931200459333716\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"42","issue":"11","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-06-05","publicationStatus":"PW","scienceBaseUri":"55d4572fe4b0518e354694ba","contributors":{"authors":[{"text":"Lozos, Julian C.","contributorId":146525,"corporation":false,"usgs":false,"family":"Lozos","given":"Julian","email":"","middleInitial":"C.","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":568111,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harris, Ruth A. 0000-0002-9247-0768 harris@usgs.gov","orcid":"https://orcid.org/0000-0002-9247-0768","contributorId":786,"corporation":false,"usgs":true,"family":"Harris","given":"Ruth","email":"harris@usgs.gov","middleInitial":"A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":568108,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Murray, Jessica R. 0000-0002-6144-1681 jrmurray@usgs.gov","orcid":"https://orcid.org/0000-0002-6144-1681","contributorId":2759,"corporation":false,"usgs":true,"family":"Murray","given":"Jessica","email":"jrmurray@usgs.gov","middleInitial":"R.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":568109,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lienkaemper, James J. 0000-0002-7578-7042 jlienk@usgs.gov","orcid":"https://orcid.org/0000-0002-7578-7042","contributorId":1941,"corporation":false,"usgs":true,"family":"Lienkaemper","given":"James","email":"jlienk@usgs.gov","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":568110,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70148427,"text":"70148427 - 2015 - Effects of ungulate disturbance and weather variation on Pediocactus winkleri: Insights from long-term monitoring","interactions":[],"lastModifiedDate":"2020-12-31T14:52:34.280534","indexId":"70148427","displayToPublicDate":"2015-06-04T14:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3746,"text":"Western North American Naturalist","onlineIssn":"1944-8341","printIssn":"1527-0904","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Effects of ungulate disturbance and weather variation on <i>Pediocactus winkleri</i>: Insights from long-term monitoring","title":"Effects of ungulate disturbance and weather variation on Pediocactus winkleri: Insights from long-term monitoring","docAbstract":"<p><span>Population dynamics and effects of large ungulate disturbances on Winkler cactus (</span><i>Pediocactus winkleri&nbsp;</i><span>K.D. Heil) were documented annually over a 20-year time span at one plot within Capitol Reef National Park, Utah. This cactus species was federally listed as threatened in 1998. The study began in 1995 to gain a better understanding of life history aspects and threats to this species. Data were collected annually in early spring and included diameter, condition, reproductive structures, mortality, recruitment, and disturbance by large ungulates. We used odds ratio and probability model analyses to determine effects of large ungulate trampling and weather on these cacti. During the study, plot population declined by 18%, with trampling of cactus, low precipitation, and cold spring temperatures implicated as causal factors. Precipitation and temperature affected flowering, mortality, and recruitment. Large ungulate disturbances increased mortality and reduced the probability of flowering. These results suggest that large ungulate disturbances and recent climate regimes have had an adverse impact on long-term persistence of this cactus.</span></p>","language":"English","publisher":"Monte L. Bean Life Science Museum, Brigham Young University","publisherLocation":"Provo, UT","doi":"10.3398/064.075.0110","usgsCitation":"Clark, D.J., Clark, T.O., Duniway, M.C., and Flagg, C.B., 2015, Effects of ungulate disturbance and weather variation on Pediocactus winkleri: Insights from long-term monitoring: Western North American Naturalist, v. 75, no. 1, p. 88-101, https://doi.org/10.3398/064.075.0110.","productDescription":"14 p.","startPage":"88","endPage":"101","numberOfPages":"14","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059738","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":301040,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"Capitol Reef National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": 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O.","contributorId":141064,"corporation":false,"usgs":false,"family":"Clark","given":"Thomas","email":"","middleInitial":"O.","affiliations":[{"id":13668,"text":"Retired, National Park Service, P.O. Box 186, Bluff, Utah  84512","active":true,"usgs":false}],"preferred":false,"id":548209,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Duniway, Michael C. 0000-0002-9643-2785 mduniway@usgs.gov","orcid":"https://orcid.org/0000-0002-9643-2785","contributorId":4212,"corporation":false,"usgs":true,"family":"Duniway","given":"Michael","email":"mduniway@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":548207,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Flagg, Cody B. cflagg@usgs.gov","contributorId":4573,"corporation":false,"usgs":true,"family":"Flagg","given":"Cody","email":"cflagg@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":548210,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70203358,"text":"70203358 - 2015 - Modeling and management of pit lake water chemistry 2: Case studies","interactions":[],"lastModifiedDate":"2019-05-07T13:32:35","indexId":"70203358","displayToPublicDate":"2015-06-01T13:28:17","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Modeling and management of pit lake water chemistry 2: Case studies","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab010\" class=\"abstract author\" lang=\"en\"><div id=\"as010\"><p id=\"sp0010\">Pit lakes, a common product of open pit mining techniques, may become long-term, post-mining environmental risks or long-term, post-mining water resources depending upon management decisions. This study reviews two published pit lake modeling studies and one pit lake monitoring program in order to increase the transparency of approaches used in pit lake prediction and management. The first model is a two-year limnological simulation of the existing Dexter pit lake, Nevada, USA that accurately modeled temperature profiles, salinity profiles, and turnover events observed between 1999 and 2000. The second model is a 55-year prediction of a future pit lake in the Martha Mine, New Zealand that identified the need for additional mitigation and evaluated potential effects of cost-effective mitigation options. The final study reviews eight years of monitoring data collected from the Berkeley pit lake, Montana, USA, from 2004 to 2012. This study identifies changes in the physical limnology and water quality of the pit lake that resulted from metal recovery operations, and highlights the value of monitoring programs in general. Whereas these pit lakes are different in many ways, the management tools discussed herein maximized the value and understanding of the post-mining resources.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2014.09.003","usgsCitation":"Castendyk, D., Balistrieri, L.S., Gammons, C., and Tucci, N., 2015, Modeling and management of pit lake water chemistry 2: Case studies: Applied Geochemistry, v. 57, p. 289-307, https://doi.org/10.1016/j.apgeochem.2014.09.003.","productDescription":"19 p.","startPage":"289","endPage":"307","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":363566,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States, New Zealand","volume":"57","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Castendyk, D.N.","contributorId":215422,"corporation":false,"usgs":false,"family":"Castendyk","given":"D.N.","affiliations":[],"preferred":false,"id":762292,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Balistrieri, Laurie S. 0000-0002-6359-3849 balistri@usgs.gov","orcid":"https://orcid.org/0000-0002-6359-3849","contributorId":1406,"corporation":false,"usgs":true,"family":"Balistrieri","given":"Laurie","email":"balistri@usgs.gov","middleInitial":"S.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":762293,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gammons, C.H.","contributorId":18459,"corporation":false,"usgs":true,"family":"Gammons","given":"C.H.","affiliations":[],"preferred":false,"id":762294,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tucci, N.","contributorId":215424,"corporation":false,"usgs":false,"family":"Tucci","given":"N.","email":"","affiliations":[],"preferred":false,"id":762295,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70148530,"text":"70148530 - 2015 - High frequency of extra-pair paternity in an urban population of Cooper's Hawks","interactions":[],"lastModifiedDate":"2016-07-11T13:08:17","indexId":"70148530","displayToPublicDate":"2015-06-01T11:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2284,"text":"Journal of Field Ornithology","active":true,"publicationSubtype":{"id":10}},"title":"High frequency of extra-pair paternity in an urban population of Cooper's Hawks","docAbstract":"<p>Raptors exhibit some of the highest rates of intra-pair copulations among birds, perhaps in an attempt by males to reduce the risk of being cuckolded. Indeed, the frequency of extra-pair fertilizations reported in studies of raptors to date is relatively low (0-11.2%). Socially monogamous Cooper's Hawks (<i>Accipiter cooperii</i>) exhibit one of the highest copulation rates among birds, yet there are no published accounts of extra-pair copulations (or paternity). We studied a population of Cooper's Hawks in Milwaukee, Wisconsin, during three breeding seasons (2003, 2004, and 2007), examining the possible effects of age (1 yr old vs. &ge; 2 yr old), adult mass, and brood size on the frequency of extra-pair paternity (EPP). We found that 19.3% of nestlings (<i>N</i> = 27/140) were extra-pair young (EPY), and 34% of all broods (<i>N</i> = 15/44) had at least one EPY. The sires of the EPY in our study were identified for only two broods, suggesting that floater males may have engaged in extra-pair copulations with territorial females. We found that brood size was a good predictor of the occurrence of EPP (EPP) in nests, but adult mass and female age were not. To our knowledge, these possible correlates of the occurrence of EPP in raptors had not previously been investigated. Male Cooper's Hawks provide food for females during the pre-nesting period, and delivery of food is, in contrast to other raptor species, typically followed by copulation. Thus, one possible explanation of the relatively high rates of EPP in our study is that females might accept or even solicit extra-pair copulations from males other than their mates as a means of maximizing energy intake for egg production. Such behavior might be particularly likely in our study area, i.e., a food-rich urban setting with a high breeding density of Cooper's Hawks.</p>","language":"English","publisher":"Northeastern Bird-Banding Association","publisherLocation":"Ipswich, NH","doi":"10.1111/jofo.12097","usgsCitation":"Rosenfield, R.N., Sonsthagen, S.A., Stout, W., and Talbot, S.L., 2015, High frequency of extra-pair paternity in an urban population of Cooper's Hawks: Journal of Field Ornithology, v. 86, no. 2, p. 144-152, https://doi.org/10.1111/jofo.12097.","productDescription":"9 p.","startPage":"144","endPage":"152","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055632","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":301193,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","city":"Milwaukee","geographicExtents":"{\n  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,{"id":70148462,"text":"70148462 - 2015 - Unintended consequences of management actions in salt pond restoration: cascading effects in trophic interactions","interactions":[],"lastModifiedDate":"2018-09-04T15:41:19","indexId":"70148462","displayToPublicDate":"2015-06-01T10:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Unintended consequences of management actions in salt pond restoration: cascading effects in trophic interactions","docAbstract":"<p>Salt evaporation ponds have played an important role as habitat for migratory waterbirds across the world, however, efforts to restore and manage these habitats to maximize their conservation value has proven to be challenging. For example, salinity reduction has been a goal for restoring and managing former salt evaporation ponds to support waterbirds in the South Bay Salt Pond Restoration Project in San Francisco Bay, California, USA. Here, we describe a case study of unexpected consequences of a low-dissolved oxygen (DO) event on trophic interactions in a salt pond system following management actions to reduce salinity concentrations. We document the ramifications of an anoxic event in water quality including salinity, DO, and temperature, and in the response of the biota including prey fish biomass, numerical response by California Gulls (Larus californicus), and chick survival of Forster's Tern (Sterna forsteri). Management actions intended to protect receiving waters resulted in decreased DO concentrations that collapsed to zero for &ge; 4 consecutive days, resulting in an extensive fish kill. DO depletion likely resulted from an algal bloom that arose following transition of the pond system from high to low salinity as respiration and decomposition outpaced photosynthetic production. We measured a &ge; 6-fold increase in biomass of fish dropped on the levee by foraging avian predators compared with weeks prior to and following the low-DO event. California Gulls rapidly responded to the availability of aerobically-stressed and vulnerable fish and increased in abundance by two orders of magnitude. Mark-recapture analysis of 254 Forster's Tern chicks indicated that their survival declined substantially following the increase in gull abundance. Thus, management actions to reduce salinity concentrations resulted in cascading effects in trophic interactions that serves as a cautionary tale illustrating the importance of understanding the interaction of water quality and trophic structure when managing restoration of salt ponds.</p>","language":"English","publisher":"Public Library of Science","publisherLocation":"San Francisco, CA","doi":"10.1371/journal.pone.0119345","usgsCitation":"Takekawa, J.Y., Ackerman, J., Brand, A., Graham, T.R., Eagles-Smith, C.A., Herzog, M.P., Topping, B.R., Shellenbarger, G., Kuwabara, J.S., Mruz, E., Piotter, S.L., and Athearn, N.D., 2015, Unintended consequences of management actions in salt pond restoration: cascading effects in trophic interactions: PLoS ONE, v. 10, no. 6, p. 1-15, https://doi.org/10.1371/journal.pone.0119345.","productDescription":"15 p.","startPage":"1","endPage":"15","numberOfPages":"15","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051529","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":472045,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0119345","text":"Publisher Index Page"},{"id":301088,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"6","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2015-06-01","publicationStatus":"PW","scienceBaseUri":"55780e32e4b032353cbeb6fb","contributors":{"authors":[{"text":"Takekawa, John Y. 0000-0003-0217-5907 john_takekawa@usgs.gov","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":176168,"corporation":false,"usgs":true,"family":"Takekawa","given":"John","email":"john_takekawa@usgs.gov","middleInitial":"Y.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":548317,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ackerman, Joshua T. 0000-0002-3074-8322 jackerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":147078,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua T.","email":"jackerman@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":548318,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brand, Arriana","contributorId":138613,"corporation":false,"usgs":false,"family":"Brand","given":"Arriana","email":"","affiliations":[{"id":6676,"text":"USGS (retired)","active":true,"usgs":false}],"preferred":false,"id":548319,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Graham, Tanya R. 0000-0002-4606-6721 tgraham@usgs.gov","orcid":"https://orcid.org/0000-0002-4606-6721","contributorId":4771,"corporation":false,"usgs":true,"family":"Graham","given":"Tanya","email":"tgraham@usgs.gov","middleInitial":"R.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":548320,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Eagles-Smith, Collin A. 0000-0003-1329-5285 ceagles-smith@usgs.gov","orcid":"https://orcid.org/0000-0003-1329-5285","contributorId":505,"corporation":false,"usgs":true,"family":"Eagles-Smith","given":"Collin","email":"ceagles-smith@usgs.gov","middleInitial":"A.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":548321,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Herzog, Mark P. 0000-0002-5203-2835 mherzog@usgs.gov","orcid":"https://orcid.org/0000-0002-5203-2835","contributorId":131158,"corporation":false,"usgs":true,"family":"Herzog","given":"Mark","email":"mherzog@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":548322,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Topping, Brent R. 0000-0002-7887-4221 btopping@usgs.gov","orcid":"https://orcid.org/0000-0002-7887-4221","contributorId":1484,"corporation":false,"usgs":true,"family":"Topping","given":"Brent","email":"btopping@usgs.gov","middleInitial":"R.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":548323,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Shellenbarger, Gregory gshellen@usgs.gov","contributorId":1133,"corporation":false,"usgs":true,"family":"Shellenbarger","given":"Gregory","email":"gshellen@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":548324,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kuwabara, James S. 0000-0003-2502-1601 kuwabara@usgs.gov","orcid":"https://orcid.org/0000-0003-2502-1601","contributorId":3374,"corporation":false,"usgs":true,"family":"Kuwabara","given":"James","email":"kuwabara@usgs.gov","middleInitial":"S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":548325,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Mruz, Eric","contributorId":141086,"corporation":false,"usgs":false,"family":"Mruz","given":"Eric","email":"","affiliations":[{"id":13673,"text":"Don Edwards San Francisco Bay National Wildlife Refuge, USFWS","active":true,"usgs":false}],"preferred":false,"id":548326,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Piotter, Sara L.","contributorId":141087,"corporation":false,"usgs":false,"family":"Piotter","given":"Sara","email":"","middleInitial":"L.","affiliations":[{"id":12611,"text":"USGS WERC, Las Vegas Field Station","active":true,"usgs":false}],"preferred":false,"id":548327,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Athearn, Nicole D.","contributorId":71273,"corporation":false,"usgs":true,"family":"Athearn","given":"Nicole","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":548328,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70154754,"text":"70154754 - 2015 - Spatial requirements of different life-stages of the loggerhead turtle (<i>Caretta caretta</i>) from a distinct population segment in the northern Gulf of Mexico","interactions":[],"lastModifiedDate":"2018-12-07T11:55:47","indexId":"70154754","displayToPublicDate":"2015-06-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1894,"text":"Herpetological Conservation and Biology","onlineIssn":"2151-0733","printIssn":"1931-7603","active":true,"publicationSubtype":{"id":10}},"title":"Spatial requirements of different life-stages of the loggerhead turtle (<i>Caretta caretta</i>) from a distinct population segment in the northern Gulf of Mexico","docAbstract":"<p>Many marine species have complex life histories that involve disparate developmental, foraging and reproductive habitats and a holistic assessment of the spatial requirements for different life stages is a challenge that greatly complicates their management. Here, we combined data from oceanographic modeling, nesting surveys, and satellite tracking to examine the spatial requirements of different life stages of Loggerhead Turtles (Caretta caretta) from a distinct population segment in the northern Gulf of Mexico. Our findings indicate that after emerging from nesting beaches in Alabama and Northwest Florida, hatchlings disperse widely and the proportion of turtles following a given route varies substantially through time, with the majority (mean of 74.4%) projected to leave the Gulf of Mexico. Adult females use neritic habitat throughout the northern and eastern Gulf of Mexico both during the inter-nesting phase and as post-nesting foraging areas. Movements and habitat use of juveniles and adult males represent a large gap in our knowledge, but given the hatchling dispersal predictions and tracks of post-nesting females it is likely that some Loggerhead Turtles remain in the Gulf of Mexico throughout their life. More than two-thirds of the Gulf provides potential habitat for at least one life-stage of Loggerhead Turtles. These results demonstrate the importance of the Gulf of Mexico to this Distinct Population Segment of Loggerhead Turtles. It also highlights the benefits of undertaking comprehensive studies of multiple life stages simultaneously: loss of individual habitats have the potential to affect several life stages thereby having long-term consequences to population recovery.</p>","language":"English","publisher":"Herpetological Conservation and Biology","usgsCitation":"Lamont, M.M., Putman, N.F., Fujisaki, I., and Hart, K.M., 2015, Spatial requirements of different life-stages of the loggerhead turtle (<i>Caretta caretta</i>) from a distinct population segment in the northern Gulf of Mexico: Herpetological Conservation and Biology, v. 10, no. 1, p. 26-43.","productDescription":"18 p.","startPage":"26","endPage":"43","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-045262","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":305527,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":360043,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.herpconbio.org/"}],"country":"United States","otherGeospatial":"Gulf of Mexico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -85.48873901367188,\n              29.57942881484495\n            ],\n            [\n              -85.48873901367188,\n              29.991812888666043\n            ],\n            [\n              -84.78012084960938,\n              29.991812888666043\n            ],\n            [\n              -84.78012084960938,\n              29.57942881484495\n            ],\n            [\n              -85.48873901367188,\n              29.57942881484495\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"10","issue":"1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55950f37e4b0b6d21dd6cc05","contributors":{"authors":[{"text":"Lamont, Margaret M. 0000-0001-7520-6669 mlamont@usgs.gov","orcid":"https://orcid.org/0000-0001-7520-6669","contributorId":4525,"corporation":false,"usgs":true,"family":"Lamont","given":"Margaret","email":"mlamont@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":563964,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Putman, Nathan Freeman","contributorId":145423,"corporation":false,"usgs":false,"family":"Putman","given":"Nathan","email":"","middleInitial":"Freeman","affiliations":[{"id":16119,"text":"National Marine Fisheries Service, Miami, FL","active":true,"usgs":false}],"preferred":false,"id":563967,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fujisaki, Ikuko","contributorId":42152,"corporation":false,"usgs":false,"family":"Fujisaki","given":"Ikuko","affiliations":[],"preferred":false,"id":563966,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hart, Kristen M. 0000-0002-5257-7974 kristen_hart@usgs.gov","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":1966,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen","email":"kristen_hart@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":563965,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70159219,"text":"70159219 - 2015 - The changing strength and nature of fire-climate relationships in the northern Rocky Mountains, U.S.A., 1902-2008","interactions":[],"lastModifiedDate":"2018-04-24T13:45:44","indexId":"70159219","displayToPublicDate":"2015-06-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"The changing strength and nature of fire-climate relationships in the northern Rocky Mountains, U.S.A., 1902-2008","docAbstract":"<p><span>Time-varying fire-climate relationships may represent an important component of fire-regime variability, relevant for understanding the controls of fire and projecting fire activity under global-change scenarios. We used time-varying statistical models to evaluate if and how fire-climate relationships varied from 1902-2008, in one of the most flammable forested regions of the western U.S.A. Fire-danger and water-balance metrics yielded the best combination of calibration accuracy and predictive skill in modeling annual area burned. The strength of fire-climate relationships varied markedly at multi-decadal scales, with models explaining &lt; 40% to 88% of the variation in annual area burned. The early 20th century (1902-1942) and the most recent two decades (1985-2008) exhibited strong fire-climate relationships, with weaker relationships for much of the mid 20th century (1943-1984), coincident with diminished burning, less fire-conducive climate, and the initiation of modern fire fighting. Area burned and the strength of fire-climate relationships increased sharply in the mid 1980s, associated with increased temperatures and longer potential fire seasons. Unlike decades with high burning in the early 20th century, models developed using fire-climate relationships from recent decades overpredicted area burned when applied to earlier periods. This amplified response of fire to climate is a signature of altered fire-climate-relationships, and it implicates non-climatic factors in this recent shift. Changes in fuel structure and availability following 40+ yr of unusually low fire activity, and possibly land use, may have resulted in increased fire vulnerability beyond expectations from climatic factors alone. Our results highlight the potential for non-climatic factors to alter fire-climate relationships, and the need to account for such dynamics, through adaptable statistical or processes-based models, for accurately predicting future fire activity.</span></p>","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0127563","usgsCitation":"Littell, J.S., 2015, The changing strength and nature of fire-climate relationships in the northern Rocky Mountains, U.S.A., 1902-2008: PLoS ONE, v. 10, no. 6, e0127563: 21 p., https://doi.org/10.1371/journal.pone.0127563.","productDescription":"e0127563: 21 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-063794","costCenters":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":472062,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0127563","text":"Publisher Index Page"},{"id":310399,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Montana","otherGeospatial":"Rocky Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -113.35693359375,\n              48.980216985374994\n            ],\n            [\n              -113.02734374999999,\n              48.58932584966972\n            ],\n            [\n              -112.67578124999999,\n              48.1367666796927\n            ],\n            [\n              -111.6650390625,\n              47.27922900257082\n            ],\n            [\n              -109.9072265625,\n              46.965259400349275\n            ],\n            [\n              -109.9072265625,\n              46.07323062540838\n            ],\n            [\n              -109.57763671875,\n              45.644768217751924\n            ],\n            [\n              -110.76416015625,\n              45.73685954736049\n            ],\n            [\n              -111.07177734375,\n              45.24395342262324\n            ],\n            [\n              -111.1376953125,\n              44.465151013519616\n            ],\n            [\n              -111.533203125,\n              44.18220395771566\n            ],\n            [\n              -112.8955078125,\n              43.83452678223684\n            ],\n            [\n              -113.818359375,\n              43.34116005412307\n            ],\n            [\n              -115.83984375,\n              43.26120612479979\n            ],\n            [\n              -116.38916015624999,\n              43.94537239244209\n            ],\n            [\n              -116.78466796875,\n              44.213709909702054\n            ],\n            [\n              -117.1142578125,\n              44.54350521320822\n            ],\n            [\n              -116.69677734375,\n              45.02695045318546\n            ],\n            [\n              -116.16943359374999,\n              45.78284835197676\n            ],\n            [\n              -116.01562499999999,\n              46.14939437647686\n            ],\n            [\n              -116.54296874999999,\n              46.78501604269254\n            ],\n            [\n              -116.89453125,\n              47.517200697839414\n            ],\n            [\n              -116.8505859375,\n              48.019324184801185\n            ],\n            [\n              -116.630859375,\n              48.32703913063476\n            ],\n            [\n              -116.91650390625,\n              48.79239019646406\n            ],\n            [\n              -117.04833984375001,\n              48.99463598353408\n            ],\n            [\n              -113.35693359375,\n              48.980216985374994\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"10","issue":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2015-06-26","publicationStatus":"PW","scienceBaseUri":"562a08f5e4b011227bf1fdeb","contributors":{"authors":[{"text":"Littell, Jeremy S. 0000-0002-5302-8280 jlittell@usgs.gov","orcid":"https://orcid.org/0000-0002-5302-8280","contributorId":4428,"corporation":false,"usgs":true,"family":"Littell","given":"Jeremy","email":"jlittell@usgs.gov","middleInitial":"S.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":107,"text":"Alaska Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":577858,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70159741,"text":"70159741 - 2015 - Climate change projections for lake whitefish (<i>Coregonus clupeaformis</i>) recruitment in the 1836 Treaty Waters of the Upper Great Lakes","interactions":[],"lastModifiedDate":"2018-04-24T13:48:14","indexId":"70159741","displayToPublicDate":"2015-06-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Climate change projections for lake whitefish (<i>Coregonus clupeaformis</i>) recruitment in the 1836 Treaty Waters of the Upper Great Lakes","docAbstract":"<p><span>Lake whitefish (</span><i>Coregonus clupeaformis</i><span>) is an ecologically, culturally, and economically important species in the Laurentian Great Lakes. Lake whitefish have been a staple food source for thousands of years and, since 1980, have supported the most economically valuable (annual catch value</span><span>&nbsp;</span><span>≈</span><span>&nbsp;</span><span>US$16.6 million) and productive (annual harvest</span><span>&nbsp;</span><span>≈</span><span>&nbsp;</span><span>7 million kg) commercial fishery in the upper Great Lakes (Lakes Huron, Michigan, and Superior). Climate changes, specifically changes in temperature, wind, and ice cover, are expected to impact the ecology, production dynamics, and value of this fishery because the success of recruitment to the fishery has been linked with these climatic variables. We used linear regression to determine the relationship between fall and spring air temperature indices, fall wind speed, winter ice cover, and lake whitefish recruitment in 13 management units located in the 1836 Treaty Waters of the Upper Great Lakes ceded by the Ottawa and Chippewa nations, a culturally and commercially important region for the lake whitefish fishery. In eight of the 13 management units evaluated, models including one or more climate variables (temperature, wind, ice cover) explained significantly more variation in recruitment than models with only the stock–recruitment relationship, using corrected Akaike's Information Criterion comparisons (ΔAICc</span><span>&nbsp;</span><span>&gt;</span><span>&nbsp;</span><span>3). Isolating the climate–recruitment relationship and projecting recruitment with the Coupled Hydrosphere-Atmosphere Research Model (CHARM) indicated the potential for increased lake whitefish recruitment in the majority of the 1836 Treaty Waters management units. These results can inform adaptive management strategies by providing anticipated implications of climate on lake whitefish recruitment.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2015.03.015","usgsCitation":"Lynch, A., Taylor, W., Beard, T., and Lofgren, B.M., 2015, Climate change projections for lake whitefish (<i>Coregonus clupeaformis</i>) recruitment in the 1836 Treaty Waters of the Upper Great Lakes: Journal of Great Lakes Research, v. 41, no. 2, p. 415-422, https://doi.org/10.1016/j.jglr.2015.03.015.","productDescription":"8 p.","startPage":"415","endPage":"422","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-058029","costCenters":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":36940,"text":"National Climate Adaptation Science 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Douglas Jr. 0000-0003-2632-2350 dbeard@usgs.gov","orcid":"https://orcid.org/0000-0003-2632-2350","contributorId":3314,"corporation":false,"usgs":true,"family":"Beard","given":"T. Douglas","suffix":"Jr.","email":"dbeard@usgs.gov","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":false,"id":580300,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lofgren, Brent M.","contributorId":139534,"corporation":false,"usgs":false,"family":"Lofgren","given":"Brent","email":"","middleInitial":"M.","affiliations":[{"id":12789,"text":"NOAA Great Lakes Environmental Research Laboratory","active":true,"usgs":false}],"preferred":false,"id":580303,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70155032,"text":"70155032 - 2015 - Demographic and spatiotemporal patterns of avian influenza infection at the continental scale, and in relation to annual life cycle of a migratory host","interactions":[],"lastModifiedDate":"2015-12-11T10:56:58","indexId":"70155032","displayToPublicDate":"2015-06-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Demographic and spatiotemporal patterns of avian influenza infection at the continental scale, and in relation to annual life cycle of a migratory host","docAbstract":"<p><span>Since the spread of highly pathogenic avian influenza (HPAI) H5N1 in the eastern hemisphere, numerous surveillance programs and studies have been undertaken to detect the occurrence, distribution, or spread of avian influenza viruses (AIV) in wild bird populations worldwide. To identify demographic determinants and spatiotemporal patterns of AIV infection in long distance migratory waterfowl in North America, we fitted generalized linear models with binominal distribution to analyze results from 13,574 blue-winged teal (</span><i>Anas discors</i><span>, BWTE) sampled in 2007 to 2010 year round during AIV surveillance programs in Canada and the United States. Our analyses revealed that during late summer staging (July-August) and fall migration (September-October), hatch year (HY) birds were more likely to be infected than after hatch year (AHY) birds, however there was no difference between age categories for the remainder of the year (winter, spring migration, and breeding period), likely due to maturing immune systems and newly acquired immunity of HY birds. Probability of infection increased non-linearly with latitude, and was highest in late summer prior to fall migration when densities of birds and the proportion of susceptible HY birds in the population are highest. Birds in the Central and Mississippi flyways were more likely to be infected compared to those in the Atlantic flyway. Seasonal cycles and spatial variation of AIV infection were largely driven by the dynamics of AIV infection in HY birds, which had more prominent cycles and spatial variation in infection compared to AHY birds. Our results demonstrate demographic as well as seasonal, latitudinal and flyway trends across Canada and the US, while illustrating the importance of migratory host life cycle and age in driving cyclical patterns of prevalence.</span></p>","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0130662","usgsCitation":"Nallar, R., Papp, Z., Epp, T., Leighton, F.A., Swafford, S.R., DeLiberto, T.J., Dusek, R., Ip, S., Hall, J.S., Berhane, Y., Gibbs, S., and Soos, C., 2015, Demographic and spatiotemporal patterns of avian influenza infection at the continental scale, and in relation to annual life cycle of a migratory host: PLoS ONE, v. 10, no. 6, e0130662: 14 p., https://doi.org/10.1371/journal.pone.0130662.","productDescription":"e0130662: 14 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056734","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":472060,"rank":0,"type":{"id":40,"text":"Open Access 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,{"id":70189355,"text":"70189355 - 2015 - Preserving geomorphic data records of flood disturbances","interactions":[],"lastModifiedDate":"2017-07-11T15:50:08","indexId":"70189355","displayToPublicDate":"2015-06-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5458,"text":"GeoResJ","active":true,"publicationSubtype":{"id":10}},"title":"Preserving geomorphic data records of flood disturbances","docAbstract":"<p id=\"sp0005\">No central database or repository is currently available in the USA to preserve long-term, spatially extensive records of fluvial geomorphic data or to provide future accessibility. Yet, because of their length and continuity these data are valuable for future research. Therefore, we built a public accessible website to preserve data records of two examples of long-term monitoring (40 and 18&nbsp;years) of the fluvial geomorphic response to natural disturbances. One disturbance was ∼50-year flood on Powder River in Montana in 1978, and the second disturbance was a catastrophic flood on Spring Creek following a ∼100-year rainstorm after a wildfire in Colorado in 1996.</p><p id=\"sp0010\">Two critical issues arise relative to preserving fluvial geomorphic data. The first is preserving the data themselves, but the second, and just as important, is preserving information about the location of the field research sites where the data were collected so the sites can be re-located and re-surveyed in the future. The latter allows long-term datasets to be extended into the future and to provide critical background data for interpreting future landscape changes. Data were preserved on a website to allow world-wide accessibility and to upload new data to the website as they become available. We describe the architecture of the website, lessons learned in developing the website, future improvements, and recommendations on how also to preserve information about the location of field research sites.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.grj.2015.02.016","usgsCitation":"Moody, J.A., Martin, D.A., and Meade, R., 2015, Preserving geomorphic data records of flood disturbances: GeoResJ, v. 6, p. 164-174, https://doi.org/10.1016/j.grj.2015.02.016.","productDescription":"11 p.","startPage":"164","endPage":"174","ipdsId":"IP-063822","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":472055,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.grj.2015.02.016","text":"Publisher Index Page"},{"id":343603,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5965b492e4b0d1f9f05b3828","contributors":{"authors":[{"text":"Moody, John A. 0000-0003-2609-364X jamoody@usgs.gov","orcid":"https://orcid.org/0000-0003-2609-364X","contributorId":771,"corporation":false,"usgs":true,"family":"Moody","given":"John","email":"jamoody@usgs.gov","middleInitial":"A.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":704342,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martin, Deborah A. 0000-0001-8237-0838 damartin@usgs.gov","orcid":"https://orcid.org/0000-0001-8237-0838","contributorId":168662,"corporation":false,"usgs":true,"family":"Martin","given":"Deborah","email":"damartin@usgs.gov","middleInitial":"A.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":704343,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Meade, Robert H. 0000-0002-4965-3040","orcid":"https://orcid.org/0000-0002-4965-3040","contributorId":194493,"corporation":false,"usgs":false,"family":"Meade","given":"Robert H.","affiliations":[],"preferred":false,"id":704344,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70179098,"text":"70179098 - 2015 - Testing hypotheses on distribution shifts and changes in phenology of imperfectly detectable species","interactions":[],"lastModifiedDate":"2016-12-16T09:23:28","indexId":"70179098","displayToPublicDate":"2015-06-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Testing hypotheses on distribution shifts and changes in phenology of imperfectly detectable species","docAbstract":"<ol id=\"mee312362-list-0001\" class=\"o-list--numbered o-list--paragraph\"><li>With ongoing climate change, many species are expected to shift their spatial and temporal distributions. To document changes in species distribution and phenology, detection/non-detection data have proven very useful. Occupancy models provide a robust way to analyse such data, but inference is usually focused on species spatial distribution, not phenology.</li><li>We present a multi-season extension of the staggered-entry occupancy model of Kendall <i>et&nbsp;al</i>. (2013, <i>Ecology</i>, 94, 610), which permits inference about the within-season patterns of species arrival and departure at sampling sites. The new model presented here allows investigation of species phenology and spatial distribution across years, as well as site extinction/colonization dynamics.</li><li>We illustrate the model with two data sets on European migratory passerines and one data set on North American treefrogs. We show how to derive several additional phenological parameters, such as annual mean arrival and departure dates, from estimated arrival and departure probabilities.</li><li>Given the extent of detection/non-detection data that are available, we believe that this modelling approach will prove very useful to further understand and predict species responses to climate change.</li></ol>","language":"English","publisher":"Wiley","doi":"10.1111/2041-210X.12362","usgsCitation":"Chambert, T.A., Kendall, W.L., Hines, J., Nichols, J., Pedrini, P., Waddle, J.H., Tavecchia, G., Walls, S.C., and Tenan, S., 2015, Testing hypotheses on distribution shifts and changes in phenology of imperfectly detectable species: Methods in Ecology and Evolution, v. 6, no. 6, p. 638-647, https://doi.org/10.1111/2041-210X.12362.","productDescription":"10 p.","startPage":"638","endPage":"647","ipdsId":"IP-061733","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":472056,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/2041-210x.12362","text":"Publisher Index Page"},{"id":332204,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-03-28","publicationStatus":"PW","scienceBaseUri":"58550b82e4b02bdf681568b9","chorus":{"doi":"10.1111/2041-210x.12362","url":"http://dx.doi.org/10.1111/2041-210x.12362","publisher":"Wiley-Blackwell","authors":"Chambert Thierry, Kendall William L., Hines James E., Nichols James D., Pedrini Paolo, Waddle J. 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,{"id":70148021,"text":"ofr20151096 - 2015 - Literature review of the potential effects of hydrogen peroxide on nitrogen oxidation efficiency of the biofilters of recirculating aquaculture systems (RAS) for freshwater finfish","interactions":[],"lastModifiedDate":"2015-05-27T16:09:30","indexId":"ofr20151096","displayToPublicDate":"2015-05-27T17:00:00","publicationYear":"2015","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":"2015-1096","title":"Literature review of the potential effects of hydrogen peroxide on nitrogen oxidation efficiency of the biofilters of recirculating aquaculture systems (RAS) for freshwater finfish","docAbstract":"<p>A comprehensive literature review was done for the effects of hydrogen peroxide (HP) on biofilter function in recirculating aquaculture systems (RAS) using these databases: ISI/Web of Knowledge, Scopus, and Pubmed. Inclusion and exclusion criteria were developed as the literature review was conducted. The initial search produced 5,748 potential citations. Once the literature search was complete, these 5,748 titles were screened for applicable papers using the inclusion and exclusion criteria. If the title contained any of the inclusion terms, it was retained. Titles of the remaining papers were then screened for exclusion terms. If the title contained one or more of the exclusion terms, it was eliminated from further consideration. This refined search produced 1,405 papers.</p>\n<p>After the initial screening, the remaining 1,405 papers underwent a second screening. Titles and abstracts (when available) were again read to verify that the topic of the paper was related to RAS. During the second screening, a second person verified that the papers proposed for elimination were not related to RAS. A combined reference list of the 512 remaining papers was created and submitted to the U.S. Geological Survey (USGS) Upper Midwest Environmental Sciences Center (UMESC) librarian in order to obtain the actual papers; electronic copies of those citations were obtained and reviewed. The UMESC librarian also received weekly updates from Scopus (a bibliographic database containing abstracts and citations for academic journal articles) using the search terms. Any resulting papers from those updates were screened using the inclusion criteria and relevant papers were requested. From those, 86 were cited in the literature review. An additional 11 papers from other search methods (e.g., mining references lists) also were obtained.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151096","usgsCitation":"Fredricks, K., 2015, Literature review of the potential effects of hydrogen peroxide on nitrogen oxidation efficiency of the biofilters of recirculating aquaculture systems (RAS) for freshwater finfish: U.S. Geological Survey Open-File Report 2015-1096, vii, 21 p., https://doi.org/10.3133/ofr20151096.","productDescription":"vii, 21 p.","numberOfPages":"30","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-061724","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":300873,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20151096.jpg"},{"id":300871,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov//of/2015/1096/pdf/ofr2015-1096.pdf","text":"Report","size":"266 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":300872,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/of/2015/1097","text":"Open-File Report 2015-1097","description":"Open-File Report 2015-1097","linkHelpText":"Companion Report - Literature Review of the Potential Effects of Formalin on Nitrogen Oxidation Efficiency of the Biofilters of Recirculating Aquaculture Systems (RAS) for Freshwater Finfish"},{"id":300870,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov//of/2015/1096/"}],"publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5566dcb0e4b0d9246a9ec295","contributors":{"authors":[{"text":"Fredricks, Kim T. 0000-0003-2363-7891 kfredricks@usgs.gov","orcid":"https://orcid.org/0000-0003-2363-7891","contributorId":5163,"corporation":false,"usgs":true,"family":"Fredricks","given":"Kim T.","email":"kfredricks@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":false,"id":546844,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70148022,"text":"ofr20151097 - 2015 - Literature review of the potential effects of formalin on nitrogen oxidation efficiency of the biofilters of recirculating aquaculture systems (RAS) for freshwater finfish","interactions":[],"lastModifiedDate":"2015-05-28T09:10:33","indexId":"ofr20151097","displayToPublicDate":"2015-05-27T17:00:00","publicationYear":"2015","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":"2015-1097","title":"Literature review of the potential effects of formalin on nitrogen oxidation efficiency of the biofilters of recirculating aquaculture systems (RAS) for freshwater finfish","docAbstract":"<p>A comprehensive literature review was done for the effects of formalin on biofilter function in recirculating aquaculture systems (RAS) using these databases: ISI/Web of Knowledge, Scopus, and Pubmed. Inclusion and exclusion criteria were developed as the literature review was conducted. The initial search produced 5,682 potential citations. Once the literature search was complete, these 5,682 titles were screened for applicable papers using the inclusion and exclusion criteria. If the title contained any of the inclusion terms, it was retained. Titles of the remaining papers were then screened for exclusion terms. If the title contained one or more of the exclusion terms, it was eliminated from further consideration. This refined search produced 1,287 papers.</p>\n<p>After the initial screening, the remaining 1,287 papers underwent a second screening. Titles and abstracts (when available) were again read to verify that the topic of the paper was related to RAS. During the second screening, a second person verified that the papers proposed for elimination were not related to RAS. A combined reference list of the 443 remaining papers was created and submitted to the U.S. Geological Survey (USGS) Upper Midwest Environmental Sciences Center (UMESC) librarian to obtain the actual papers; electronic copies of those citations were obtained and reviewed. The UMESC librarian also would receive weekly updates from Scopus (a bibliographic database containing abstracts and citations for academic journal articles) using the search terms. Any resulting papers from those updates also were screened using the inclusion criteria, and any relevant papers were requested. From those, 82 were cited in the literature review. An additional 10 references were obtained from weekly updates or reference mining other sources and were incorporated into the final literature review.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151097","usgsCitation":"Fredricks, K., 2015, Literature review of the potential effects of formalin on nitrogen oxidation efficiency of the biofilters of recirculating aquaculture systems (RAS) for freshwater finfish: U.S. Geological Survey Open-File Report 2015-1097, vii, 17 p., https://doi.org/10.3133/ofr20151097.","productDescription":"vii, 17 p.","numberOfPages":"26","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-061726","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":300877,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20151097.jpg"},{"id":300874,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1097/"},{"id":300875,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1097/pdf/ofr2015-1097.pdf","text":"Report","size":"405 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":300876,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/of/2015/1096","text":"Open-File Report 2015-1096","description":"Open-File Report 2015-1096","linkHelpText":"Companion Report - Literature Review of the Potential Effects of Hydrogen Peroxide on Nitrogen Oxidation Efficiency of the Biofilters of Recirculating Aquaculture Systems (RAS) for Freshwater Finfish"}],"publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5566dcafe4b0d9246a9ec293","contributors":{"authors":[{"text":"Fredricks, Kim T. 0000-0003-2363-7891 kfredricks@usgs.gov","orcid":"https://orcid.org/0000-0003-2363-7891","contributorId":5163,"corporation":false,"usgs":true,"family":"Fredricks","given":"Kim T.","email":"kfredricks@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":false,"id":546845,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
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