{"pageNumber":"1162","pageRowStart":"29025","pageSize":"25","recordCount":184800,"records":[{"id":70159609,"text":"70159609 - 2016 - Hydrologic response of desert wetlands to Holocene climate change: preliminary results from the Soda Springs area, Mojave National Preserve, California","interactions":[],"lastModifiedDate":"2017-04-28T09:33:15","indexId":"70159609","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Hydrologic response of desert wetlands to Holocene climate change: preliminary results from the Soda Springs area, Mojave National Preserve, California","docAbstract":"Desert wetlands are common features in arid environments and include a variety of hydrologic facies, including seeps, springs, marshes, wet meadows, ponds, and spring pools.  Wet ground conditions and dense stands of vegetation in these settings combine to trap eolian, alluvial, and fluvial sediments that accumulate over time.  The resulting deposits are collectively called ground-water discharge (GWD) deposits, and contain information on how small desert watersheds responded to climate change in the past.  Most GWD studies in the southwestern U.S. have focused on the late Pleistocene because the Holocene was too dry to support the extensive wetland systems that were so pervasive just a few millennia earlier.  Here we describe the results of a pilot project that involves coring extant wetlands and analyzing the sedimentology and microfauna of the recovered sediment to infer Holocene hydrologic conditions.  In 2011, a series of cores were taken near wetlands situated along the western margin of the Soda Lake basin in the Mojave National Preserve of southern California.  The core sediments appear to show that the wetlands responded to the relatively minor climate fluctuations that characterized the Holocene.  However, our analysis was limited by relatively low sediment recovery (which only averaged 70-80%) and a general paucity of datable materials in the cores.  Additional studies aimed at improving recovery and developing new techniques for concentrating plant microfossils (plant remains that are <150 m in diameter) for radiocarbon dating are ongoing.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 1st Death Valley Natural History Conference","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"First Death Valley Natural History Conference","language":"English","publisher":"Death Valley Natural History Association","usgsCitation":"Pigati, J., Reheis, M.C., McGeehin, J.P., Honke, J., and Bright, J., 2016, Hydrologic response of desert wetlands to Holocene climate change: preliminary results from the Soda Springs area, Mojave National Preserve, California, <i>in</i> Proceedings of the 1st Death Valley Natural History Conference, p. 2-19.","productDescription":"18 p.","startPage":"2","endPage":"19","ipdsId":"IP-052618","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":340585,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"590454a6e4b022cee40dc246","contributors":{"authors":[{"text":"Pigati, Jeffrey S. 0000-0001-5843-6219 jpigati@usgs.gov","orcid":"https://orcid.org/0000-0001-5843-6219","contributorId":149825,"corporation":false,"usgs":true,"family":"Pigati","given":"Jeffrey S.","email":"jpigati@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":false,"id":579703,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reheis, Marith C. 0000-0002-8359-323X mreheis@usgs.gov","orcid":"https://orcid.org/0000-0002-8359-323X","contributorId":1196,"corporation":false,"usgs":true,"family":"Reheis","given":"Marith","email":"mreheis@usgs.gov","middleInitial":"C.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":false,"id":693378,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McGeehin, John P. mcgeehin@usgs.gov","contributorId":140956,"corporation":false,"usgs":true,"family":"McGeehin","given":"John","email":"mcgeehin@usgs.gov","middleInitial":"P.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":false,"id":693379,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Honke, Jeffrey S.","contributorId":46412,"corporation":false,"usgs":true,"family":"Honke","given":"Jeffrey S.","affiliations":[],"preferred":false,"id":693380,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bright, J.","contributorId":191525,"corporation":false,"usgs":false,"family":"Bright","given":"J.","affiliations":[],"preferred":false,"id":693381,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70195945,"text":"70195945 - 2016 - Influence of basin- and local-scale environmental conditions on nearshore production in the northeast Pacific Ocean","interactions":[],"lastModifiedDate":"2018-03-09T10:10:34","indexId":"70195945","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2680,"text":"Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science","active":true,"publicationSubtype":{"id":10}},"title":"Influence of basin- and local-scale environmental conditions on nearshore production in the northeast Pacific Ocean","docAbstract":"<p><span>Nearshore marine habitats are productive and vulnerable owing to their connections to pelagic and terrestrial landscapes. To understand how ocean basin- and local-scale conditions may influence nearshore species, we developed an annual index of nearshore production (spanning the period 1972–2010) from growth increments recorded in otoliths of representative pelagic-feeding (Black Rockfish&nbsp;</span><i>Sebastes melanops</i><span>) and benthic-feeding (Kelp Greenling<span>&nbsp;</span></span><i>Hexagrammos decagrammus</i><span>) nearshore-resident fishes at nine sites in the California Current and Alaska Coastal Current systems. We explored the influence of basin- and local-scale conditions across all seasons at lags of up to 2 years to represent changes in prey quantity (1- or 2-year time lags) and quality (within-year relationships). Relationships linking fish growth to basin-scale (Pacific Decadal Oscillation, North Pacific Gyre Oscillation, and multivariate El Niño–Southern Oscillation index) and local-scale (sea surface temperature, sea surface height anomalies, upwelling index, photosynthetically active radiation, and freshwater discharge) environmental conditions varied by species and current system. Growth of Black Rockfish increased with cool basin-scale conditions in the California Current and warm local-scale conditions in the Alaska Coastal Current, consistent with existing hypotheses linking climate to pelagic production on continental shelves in the respective regions. Relationships for Kelp Greenlings in the California Current were complex, with faster growth related to within-year warm conditions and lagged-year cool conditions. These opposing, lag-dependent relationships may reflect differences in conditions that promote quantity versus quality of benthic invertebrate prey in the California Current. Thus, we hypothesize that benthic production is maximized by alternating cool and warm years, as benthic invertebrate recruitment is food limited during warm years while growth is temperature limited by cool years in the California Current. On the other hand, Kelp Greenlings grew faster during and subsequent to warm conditions at basin and local scales in the Alaska Coastal Current.</span></p>","language":"English","publisher":"Wiley","doi":"10.1080/19425120.2016.1194919","usgsCitation":"von Biela, V.R., Zimmerman, C.E., Kruse, G.H., Mueter, F.J., Black, B.A., Douglas, D.C., and Bodkin, J.L., 2016, Influence of basin- and local-scale environmental conditions on nearshore production in the northeast Pacific Ocean: Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science, v. 8, no. 1, p. 502-521, https://doi.org/10.1080/19425120.2016.1194919.","productDescription":"20 p.","startPage":"502","endPage":"521","ipdsId":"IP-070244","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":471559,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/19425120.2016.1194919","text":"Publisher Index Page"},{"id":352356,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -160.400390625,\n              36.10237644873644\n            ],\n            [\n              -121.55273437499999,\n              36.10237644873644\n            ],\n            [\n              -121.55273437499999,\n              60.54377524118842\n            ],\n            [\n              -160.400390625,\n              60.54377524118842\n            ],\n            [\n              -160.400390625,\n              36.10237644873644\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"8","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-18","publicationStatus":"PW","scienceBaseUri":"5afeea4be4b0da30c1bfc5df","contributors":{"authors":[{"text":"von Biela, Vanessa R. 0000-0002-7139-5981 vvonbiela@usgs.gov","orcid":"https://orcid.org/0000-0002-7139-5981","contributorId":3104,"corporation":false,"usgs":true,"family":"von Biela","given":"Vanessa","email":"vvonbiela@usgs.gov","middleInitial":"R.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":730633,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zimmerman, Christian E. 0000-0002-3646-0688 czimmerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3646-0688","contributorId":410,"corporation":false,"usgs":true,"family":"Zimmerman","given":"Christian","email":"czimmerman@usgs.gov","middleInitial":"E.","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":730634,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kruse, Gordon H.","contributorId":187450,"corporation":false,"usgs":false,"family":"Kruse","given":"Gordon","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":730635,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mueter, Franz J.","contributorId":131144,"corporation":false,"usgs":false,"family":"Mueter","given":"Franz","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":730636,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Black, Bryan A.","contributorId":68448,"corporation":false,"usgs":false,"family":"Black","given":"Bryan","email":"","middleInitial":"A.","affiliations":[{"id":12430,"text":"University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":730637,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Douglas, David C. 0000-0003-0186-1104 ddouglas@usgs.gov","orcid":"https://orcid.org/0000-0003-0186-1104","contributorId":2388,"corporation":false,"usgs":true,"family":"Douglas","given":"David","email":"ddouglas@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":730638,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bodkin, James L. 0000-0003-1641-4438 jbodkin@usgs.gov","orcid":"https://orcid.org/0000-0003-1641-4438","contributorId":748,"corporation":false,"usgs":true,"family":"Bodkin","given":"James","email":"jbodkin@usgs.gov","middleInitial":"L.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":730639,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70187207,"text":"70187207 - 2016 - Age, growth and fall diet of channel catfish in Cheat Lake, West Virginia","interactions":[],"lastModifiedDate":"2017-04-26T12:41:20","indexId":"70187207","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Age, growth and fall diet of channel catfish in Cheat Lake, West Virginia","docAbstract":"<p><span>Acidification has historically impaired Cheat Lake's fish community, but recent mitigation efforts within the Cheat River watershed have improved water quality and species richness. Presently, channel catfish </span><i><i>Ictalurus punctatus</i></i><span> are abundant and attain desirable sizes for anglers. We evaluated the age, growth, and fall diet of the population. We collected a sample of 155 channel catfish from Cheat Lake from 5 August to 4 December 2014, a subset of which we aged (</span><i>n</i><span> = 148) using lapillus otoliths. We fit four growth models (von Bertalanffy, logistic, Gompertz, and power) to length-at-age data and compared models using an information theoretic approach. We collected fall diets from 55 fish sampled from 13 October to 4 December 2014. Total lengths of individuals in the sample ranged from 154 to 721 mm and ages ranged from 2 to 19 y. We AIC</span><i><sub>c</sub></i><span>-selected the von Bertalanffy growth model as the best approximating model, and the power and Gompertz models also had considerable support. Diets were numerically dominated by Diptera larvae, specifically Chironomidae and Chaoboridae, while 39% of stomachs contained terrestrial food items. This study provides baseline data for management of Cheat Lake's channel catfish population. Further, this study fills a knowledge gap in the scientific literature on channel catfish, because few previously published studies have examined the population ecology of channel catfish in the Central Appalachian region.</span></p>","language":"English","publisher":"U.S. Fish and Wildlife Service","doi":"10.3996/092015-JFWM-091","usgsCitation":"Hilling, C., Welsh, S.A., and Smith, D.M., 2016, Age, growth and fall diet of channel catfish in Cheat Lake, West Virginia: Journal of Fish and Wildlife Management, v. 7, no. 2, p. 304-314, https://doi.org/10.3996/092015-JFWM-091.","productDescription":"11 p.","startPage":"304","endPage":"314","ipdsId":"IP-074154","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":471372,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/092015-jfwm-091","text":"Publisher Index Page"},{"id":340456,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"West Virginia","otherGeospatial":"Cheat Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -79.85567092895508,\n              39.72065570993537\n            ],\n            [\n              -79.85910415649414,\n              39.720919782725545\n            ],\n            [\n              -79.85893249511719,\n              39.718675131777175\n            ],\n            [\n              -79.85429763793945,\n              39.7132612612704\n            ],\n            [\n              -79.85000610351562,\n              39.71035608240133\n            ],\n            [\n              -79.85189437866211,\n              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M.","contributorId":171829,"corporation":false,"usgs":false,"family":"Smith","given":"Dustin","email":"","middleInitial":"M.","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":693036,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70187248,"text":"70187248 - 2016 - Evidence for range contraction of snowshoe hare in Pennsylvania","interactions":[],"lastModifiedDate":"2017-04-27T11:32:15","indexId":"70187248","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2898,"text":"Northeastern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Evidence for range contraction of snowshoe hare in Pennsylvania","docAbstract":"<p><span>In Pennsylvania, </span><i>Lepus americanus</i><span> (Snowshoe Hare) is near the southern limits of its range and at risk of range contraction because of loss of early-successional forest and impacts of climate change. We used hunter-harvest data to investigate changes in the distribution of Snowshoe Hare in Pennsylvania (1983–2011), forest inventory and land-use data to assess changes in amount and distribution of early-successional forest (1988–2011), and occupancy modeling (2004) to identify habitat and climate variables that explain the current distribution of Snowshoe Hare. We determined presence of Snowshoe Hare based on visual sightings, observations of tracks, and DNA analysis of fecal pellets, and used repeated visits to sampling sites and occupancy models to estimate occupancy rates (Ψ). Hunter-harvest data indicated the range of Snowshoe Hare in Pennsylvania contracted towards northwestern and northeastern portions of the state. Based on occupancy modeling, Snowshoe Hare were most likely to occupy early-successional and mixed deciduous-coniferous forest types and areas with colder winter temperatures, which coincided with the distribution of hunter harvests. Among the 4 forest types, we estimated Ψ = 0.52-0.79 and Ψ = 0.10-0.32 where winter temperatures were coldest and warmest, respectively. Total forest loss was &lt;1% during 1988-2011, and the loss of early-successional forest in the current and former range of Snowshoe Hares was similar as were mean patch size and a fragmentation metric of early-successional habitat. Thus, changes in forest characteristics did not explain the range contraction we observed. We used climate-model predictions and our occupancy model to predict that average occupancy probability across northern Pennsylvania may decline from 0.27 in 2004 to 0.10–0.18 by 2050–2059, depending on the climate model. The range of Snowshoe Hare in Pennsylvania has contracted to regions of Pennsylvania with the coldest winter temperatures and most persistent snowpack, and based on projected climate change, our results suggest further range contraction of Snowshoe Hare in Pennsylvania.</span></p>","language":"English","publisher":"Eagle Hill Institute","doi":"10.1656/045.023.0205","usgsCitation":"Diefenbach, D.R., Rathbun, S.L., Vreeland, J., Grove, D., and Kanapaux, W.J., 2016, Evidence for range contraction of snowshoe hare in Pennsylvania: Northeastern Naturalist, v. 23, no. 2, p. 229-248, https://doi.org/10.1656/045.023.0205.","productDescription":"10 p.","startPage":"229","endPage":"248","ipdsId":"IP-045448","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":340502,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","volume":"23","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-07","publicationStatus":"PW","scienceBaseUri":"59030326e4b0e862d230f731","contributors":{"authors":[{"text":"Diefenbach, Duane R. 0000-0001-5111-1147 drd11@usgs.gov","orcid":"https://orcid.org/0000-0001-5111-1147","contributorId":5235,"corporation":false,"usgs":true,"family":"Diefenbach","given":"Duane","email":"drd11@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":693106,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rathbun, Stephen L.","contributorId":191483,"corporation":false,"usgs":false,"family":"Rathbun","given":"Stephen","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":693204,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vreeland, J.K.","contributorId":22528,"corporation":false,"usgs":true,"family":"Vreeland","given":"J.K.","email":"","affiliations":[],"preferred":false,"id":693205,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grove, Deborah","contributorId":191484,"corporation":false,"usgs":false,"family":"Grove","given":"Deborah","email":"","affiliations":[],"preferred":false,"id":693206,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kanapaux, William J.","contributorId":191485,"corporation":false,"usgs":false,"family":"Kanapaux","given":"William","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":693207,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70178592,"text":"70178592 - 2016 - Primary production in the Sacramento-San Joaquin Delta: A science strategy to quantify change and identify future potential","interactions":[],"lastModifiedDate":"2017-04-12T15:18:50","indexId":"70178592","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Primary production in the Sacramento-San Joaquin Delta: A science strategy to quantify change and identify future potential","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"San Francisco Estuary - Aquatic Science Center","publisherLocation":"Richmond, CA","usgsCitation":"Robinson, A., Richey, A., Cloern, J.E., Boyer, K.E., Burau, J., Canuel, E.A., DeGeorge, J.F., Drexler, J., Howe, E.R., Kneib, R., Mueller-Solger, A., Pinckney, J.L., Naiman, R.J., Schoellhamer, D., and Simenstad, C.A., 2016, Primary production in the Sacramento-San Joaquin Delta: A science strategy to quantify change and identify future potential, ii, 89 p.","productDescription":"ii, 89 p.","numberOfPages":"95","ipdsId":"IP-074816","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":339630,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":331315,"type":{"id":15,"text":"Index Page"},"url":"https://www.sfei.org/documents/primary-production-sacramento-san-joaquin-delta-science-strategy-quantify-change-and"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58ef3dabe4b0eed1ab8e3be2","contributors":{"authors":[{"text":"Robinson, April","contributorId":177066,"corporation":false,"usgs":false,"family":"Robinson","given":"April","affiliations":[],"preferred":false,"id":690780,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Richey, Amy","contributorId":177067,"corporation":false,"usgs":false,"family":"Richey","given":"Amy","email":"","affiliations":[],"preferred":false,"id":690781,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cloern, James E. 0000-0002-5880-6862 jecloern@usgs.gov","orcid":"https://orcid.org/0000-0002-5880-6862","contributorId":1488,"corporation":false,"usgs":true,"family":"Cloern","given":"James","email":"jecloern@usgs.gov","middleInitial":"E.","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":654481,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boyer, Katharyn E.","contributorId":177069,"corporation":false,"usgs":false,"family":"Boyer","given":"Katharyn","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":690782,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Burau, Jon 0000-0002-5196-5035 jrburau@usgs.gov","orcid":"https://orcid.org/0000-0002-5196-5035","contributorId":152695,"corporation":false,"usgs":true,"family":"Burau","given":"Jon","email":"jrburau@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":690783,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Canuel, Elizabeth A.","contributorId":98604,"corporation":false,"usgs":true,"family":"Canuel","given":"Elizabeth","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":690784,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"DeGeorge, John F.","contributorId":177086,"corporation":false,"usgs":false,"family":"DeGeorge","given":"John","email":"","middleInitial":"F.","affiliations":[{"id":16871,"text":"Resource Management Associates","active":true,"usgs":false}],"preferred":false,"id":690785,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Drexler, Judith Z. 0000-0002-0127-3866 jdrexler@usgs.gov","orcid":"https://orcid.org/0000-0002-0127-3866","contributorId":1659,"corporation":false,"usgs":true,"family":"Drexler","given":"Judith Z.","email":"jdrexler@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":690786,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Howe, E. R.","contributorId":190820,"corporation":false,"usgs":false,"family":"Howe","given":"E.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":690787,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kneib, Ronald","contributorId":177089,"corporation":false,"usgs":false,"family":"Kneib","given":"Ronald","email":"","affiliations":[],"preferred":false,"id":690788,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Mueller-Solger, Anke 0000-0002-2469-4284 amueller-solger@usgs.gov","orcid":"https://orcid.org/0000-0002-2469-4284","contributorId":178275,"corporation":false,"usgs":true,"family":"Mueller-Solger","given":"Anke","email":"amueller-solger@usgs.gov","affiliations":[],"preferred":true,"id":690789,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Pinckney, James L.","contributorId":177090,"corporation":false,"usgs":false,"family":"Pinckney","given":"James","email":"","middleInitial":"L.","affiliations":[{"id":27670,"text":"Marine Science Program, University of South Carolina","active":true,"usgs":false}],"preferred":false,"id":690790,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Naiman, Robert J.","contributorId":51147,"corporation":false,"usgs":true,"family":"Naiman","given":"Robert","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":690791,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Schoellhamer, David H. 0000-0001-9488-7340 dschoell@usgs.gov","orcid":"https://orcid.org/0000-0001-9488-7340","contributorId":631,"corporation":false,"usgs":true,"family":"Schoellhamer","given":"David H.","email":"dschoell@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":690792,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Simenstad, Charles A.","contributorId":88477,"corporation":false,"usgs":false,"family":"Simenstad","given":"Charles","email":"","middleInitial":"A.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":690793,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70176420,"text":"70176420 - 2016 - Seasonal electrical resistivity surveys of a coastal bluff, Barter Island, North Slope Alaska","interactions":[],"lastModifiedDate":"2017-04-11T12:45:05","indexId":"70176420","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3928,"text":"Journal of Environmental & Engineering Geophysics","printIssn":"1083-1363","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal electrical resistivity surveys of a coastal bluff, Barter Island, North Slope Alaska","docAbstract":"<p><span>Select coastal regions of the North Slope of Alaska are experiencing high erosion rates that can be attributed in part to recent warming trends and associated increased storm intensity and frequency. The upper sediment column of the coastal North Slope of Alaska can be described as continuous permafrost underlying a thin (typically less than 1–2 m) active layer that responds variably to seasonal thaw cycles. Assessing the temporal and spatial variability of the active layer and underlying permafrost is essential to better constrain how heightened erosion may impact material fluxes to the atmosphere and the coastal ocean, and how enhanced thaw cycles may impact the stability of the coastal bluffs. In this study, multi-channel electrical resistivity tomography (ERT) was used to image shallow subsurface features of a coastal bluff west of Kaktovik, on Barter Island, northeast Alaska. A comparison of a suite of paired resistivity surveys conducted in early and late summer 2014 provided detailed information on how the active layer and permafrost are impacted during the short Arctic summer. Such results are useful in the development of coastal resilience models that tie together fluvial, terrestrial, climatic, geologic, and oceanographic forcings on shoreline stability.</span></p>","language":"English","publisher":"Environmental & Engineering Geophysical Society","doi":"10.2113/JEEG21.1.37","usgsCitation":"Swarzenski, P.W., Johnson, C., Lorenson, T., Conaway, C.H., Gibbs, A.E., Erikson, L.H., Richmond, B.M., and Waldrop, M.P., 2016, Seasonal electrical resistivity surveys of a coastal bluff, Barter Island, North Slope Alaska: Journal of Environmental & Engineering Geophysics, v. 21, no. 1, p. 37-42, https://doi.org/10.2113/JEEG21.1.37.","productDescription":"6 p.","startPage":"37","endPage":"42","ipdsId":"IP-063158","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":339571,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Barter Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -143.84811401367188,\n              70.07354279874802\n            ],\n            [\n              -143.4100341796875,\n              70.07354279874802\n            ],\n            [\n              -143.4100341796875,\n              70.16321163823721\n            ],\n            [\n              -143.84811401367188,\n              70.16321163823721\n            ],\n            [\n              -143.84811401367188,\n              70.07354279874802\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"21","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58edba76e4b0eed1ab8c6f33","contributors":{"authors":[{"text":"Swarzenski, Peter W. 0000-0003-0116-0578 pswarzen@usgs.gov","orcid":"https://orcid.org/0000-0003-0116-0578","contributorId":1070,"corporation":false,"usgs":true,"family":"Swarzenski","given":"Peter","email":"pswarzen@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":648696,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Cordell 0000-0001-8353-8030 cordell_johnson@usgs.gov","orcid":"https://orcid.org/0000-0001-8353-8030","contributorId":147437,"corporation":false,"usgs":true,"family":"Johnson","given":"Cordell","email":"cordell_johnson@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":648697,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lorenson, Thomas 0000-0001-7669-2873 tlorenson@usgs.gov","orcid":"https://orcid.org/0000-0001-7669-2873","contributorId":174599,"corporation":false,"usgs":true,"family":"Lorenson","given":"Thomas","email":"tlorenson@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":648698,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Conaway, Christopher H. 0000-0002-0991-033X cconaway@usgs.gov","orcid":"https://orcid.org/0000-0002-0991-033X","contributorId":5074,"corporation":false,"usgs":true,"family":"Conaway","given":"Christopher","email":"cconaway@usgs.gov","middleInitial":"H.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":648699,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gibbs, Ann E. 0000-0002-0883-3774 agibbs@usgs.gov","orcid":"https://orcid.org/0000-0002-0883-3774","contributorId":2644,"corporation":false,"usgs":true,"family":"Gibbs","given":"Ann","email":"agibbs@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":648700,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Erikson, Li H. 0000-0002-8607-7695 lerikson@usgs.gov","orcid":"https://orcid.org/0000-0002-8607-7695","contributorId":149963,"corporation":false,"usgs":true,"family":"Erikson","given":"Li","email":"lerikson@usgs.gov","middleInitial":"H.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":648701,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Richmond, Bruce M. 0000-0002-0056-5832 brichmond@usgs.gov","orcid":"https://orcid.org/0000-0002-0056-5832","contributorId":2459,"corporation":false,"usgs":true,"family":"Richmond","given":"Bruce","email":"brichmond@usgs.gov","middleInitial":"M.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":648702,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Waldrop, Mark P. 0000-0003-1829-7140 mwaldrop@usgs.gov","orcid":"https://orcid.org/0000-0003-1829-7140","contributorId":1599,"corporation":false,"usgs":true,"family":"Waldrop","given":"Mark","email":"mwaldrop@usgs.gov","middleInitial":"P.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":648703,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70178749,"text":"70178749 - 2016 - Geology and geomorphology of the Carolina Sandhills, Chesterfield County, South Carolina","interactions":[],"lastModifiedDate":"2018-03-29T11:06:08","indexId":"70178749","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":15,"text":"Monograph"},"seriesTitle":{"id":5369,"text":"GSA Field Guides","active":true,"publicationSubtype":{"id":15}},"title":"Geology and geomorphology of the Carolina Sandhills, Chesterfield County, South Carolina","docAbstract":"<p><span>This two-day field trip focuses on the geology and geomorphology of the Carolina Sandhills in Chesterfield County, South Carolina. This area is located in the updip portion of the U.S. Atlantic Coastal Plain province, supports an ecosystem of longleaf pine (</span><i>Pinus palustris</i><span>) and wiregrass (</span><i>Aristida stricta</i><span>), and contains three major geologic map units: (1) An ~60–120-m-thick unit of weakly consolidated sand, sandstone, mud, and gravel is mapped as the Upper Cretaceous Middendorf Formation and is interpreted as a fluvial deposit. This unit is capped by an unconformity, and displays reticulate mottling, plinthite, and other paleosol features at the unconformity. The Middendorf Formation is the largest aquifer in South Carolina. (2) A 0.3–10-m-thick unit of unconsolidated sand is mapped as the Quaternary Pinehurst Formation and is interpreted as deposits of eolian sand sheets and dunes derived via remobilization of sand from the underlying Cretaceous strata. This unit displays argillic horizons and abundant evidence of bioturbation by vegetation. (3) A &lt;3-m-thick unit of sand, pebbly sand, sandy mud, and mud is mapped as Quaternary terrace deposits adjacent to modern drainages. In addition to the geologic units listed above, a prominent geomorphologic feature in the study area is a north-trending escarpment (incised by headwater streams) that forms a markedly asymmetric drainage divide. This drainage divide, as well as the Quaternary terraces deposits, are interpreted as evidence of landscape disequilibrium (possibly geomorphic responses to Quaternary climate changes).</span></p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/2016.0042(02)","usgsCitation":"Swezey, C.S., Fitzwater, B.A., and Whittecar, G.R., 2016, Geology and geomorphology of the Carolina Sandhills, Chesterfield County, South Carolina: GSA Field Guides, v. 43, 28 p., https://doi.org/10.1130/2016.0042(02).","productDescription":"28 p.","startPage":"9","endPage":"36","ipdsId":"IP-070960","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":339728,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Carolina","otherGeospatial":"Carolina Sandhills","volume":"43","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58f1e0cae4b08144348b7e01","contributors":{"authors":[{"text":"Swezey, Christopher S. 0000-0003-4019-9264 cswezey@usgs.gov","orcid":"https://orcid.org/0000-0003-4019-9264","contributorId":173033,"corporation":false,"usgs":true,"family":"Swezey","given":"Christopher","email":"cswezey@usgs.gov","middleInitial":"S.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":655035,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fitzwater, Bradley A.","contributorId":177211,"corporation":false,"usgs":false,"family":"Fitzwater","given":"Bradley","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":655036,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Whittecar, G. Richard","contributorId":177212,"corporation":false,"usgs":false,"family":"Whittecar","given":"G.","email":"","middleInitial":"Richard","affiliations":[],"preferred":false,"id":655037,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70189850,"text":"70189850 - 2016 - Comparative mitogenomic analyses of three North American stygobiont amphipods of the genus Stygobromus (Crustacea: Amphipoda)","interactions":[],"lastModifiedDate":"2017-07-27T11:31:08","indexId":"70189850","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5471,"text":"Mitochondrial DNA Part B","active":true,"publicationSubtype":{"id":10}},"title":"Comparative mitogenomic analyses of three North American stygobiont amphipods of the genus Stygobromus (Crustacea: Amphipoda)","docAbstract":"<p><span>The mitochondrial genomes of three North American stygobiont amphipods&nbsp;</span><i>Stygobromus tenuis potomacus</i><span>,<span>&nbsp;</span></span><i>S. foliatus</i><span><span>&nbsp;</span>and<span>&nbsp;</span></span><i>S. indentatus</i><span><span>&nbsp;</span>collected from Caroline County, VA, were sequenced using a shotgun sequencing approach on an Illumina NextSeq500 (Illumina Inc., San Diego, CA). All three mitogenomes displayed 13 protein-coding genes, 22 tRNAs and two rRNAs typical of metazoans. While<span>&nbsp;</span></span><i>S. tenuis</i><span><span>&nbsp;</span>and<span>&nbsp;</span></span><i>S. indentatus</i><span>displayed identical gene orders similar to the pancrustacean ground pattern,<span>&nbsp;</span></span><i>S. foliatus</i><span><span>&nbsp;</span>displayed a transposition of the<span>&nbsp;</span></span><i>trnL2</i><span>-</span><i>cox2</i><span><span>&nbsp;</span>genes to after<span>&nbsp;</span></span><i>atp8-atp6</i><span>. In addition, a short<span>&nbsp;</span></span><i>atp8</i><span><span>&nbsp;</span>gene, longer<span>&nbsp;</span></span><i>rrnL</i><span><span>&nbsp;</span>gene and large inverted repeat within the Control Region distinguished<span>&nbsp;</span></span><i>S. foliatus</i><span><span>&nbsp;</span>from<span>&nbsp;</span></span><i>S. tenuis potomacus</i><span><span>&nbsp;</span>and<span>&nbsp;</span></span><i>S. indentatus</i><span>. Overall, it appears that gene order varies considerably among amphipods, and the addition of these<span>&nbsp;</span></span><i>Stygobromus</i><span><span>&nbsp;</span>mitogenomes to the existing sequenced amphipod mitogenomes will prove useful for characterizing evolutionary relationships among various amphipod taxa, as well as investigations of the evolutionary dynamics of the mitogenome in general.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/23802359.2016.1174086","usgsCitation":"Aunins, A.W., Nelms, D.L., Hobson, C.S., and King, T.L., 2016, Comparative mitogenomic analyses of three North American stygobiont amphipods of the genus Stygobromus (Crustacea: Amphipoda): Mitochondrial DNA Part B, v. 1, no. 1, p. 560-563, https://doi.org/10.1080/23802359.2016.1174086.","productDescription":"4 p.","startPage":"560","endPage":"563","ipdsId":"IP-076782","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":471385,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/23802359.2016.1174086","text":"Publisher Index Page"},{"id":344386,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"1","issue":"1","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-21","publicationStatus":"PW","scienceBaseUri":"597afba7e4b0a38ca2750b66","contributors":{"authors":[{"text":"Aunins, Aaron W. 0000-0001-5240-1453 aaunins@usgs.gov","orcid":"https://orcid.org/0000-0001-5240-1453","contributorId":5863,"corporation":false,"usgs":true,"family":"Aunins","given":"Aaron","email":"aaunins@usgs.gov","middleInitial":"W.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":706532,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nelms, David L. 0000-0001-5747-642X dlnelms@usgs.gov","orcid":"https://orcid.org/0000-0001-5747-642X","contributorId":1892,"corporation":false,"usgs":true,"family":"Nelms","given":"David","email":"dlnelms@usgs.gov","middleInitial":"L.","affiliations":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true},{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"preferred":true,"id":706534,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hobson, Christopher S.","contributorId":171458,"corporation":false,"usgs":false,"family":"Hobson","given":"Christopher","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":706535,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"King, Tim L. tlking@usgs.gov","contributorId":3520,"corporation":false,"usgs":true,"family":"King","given":"Tim","email":"tlking@usgs.gov","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":706533,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70168730,"text":"70168730 - 2016 - Conflation and integration of archived geologic maps and associated uncertainties","interactions":[],"lastModifiedDate":"2016-09-21T08:55:47","indexId":"70168730","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5060,"text":"Journal of Geography and Geology","active":true,"publicationSubtype":{"id":10}},"title":"Conflation and integration of archived geologic maps and associated uncertainties","docAbstract":"<p>Old, archived geologic maps are often available with little or no associated metadata. This creates special problems in terms of extracting their data to use with a modern database. This research focuses on some problems and uncertainties associated with conflating older geologic maps in regions where modern geologic maps are, as yet, non-existent as well as vertically integrating the conflated maps with layers of modern GIS data (in this case, The National Map of the U.S. Geological Survey). Ste. Genevieve County, Missouri was chosen as the test area. It is covered by six archived geologic maps constructed in the years between 1928 and 1994. Conflating these maps results in a map that is internally consistent with these six maps, is digitally integrated with hydrography, elevation and orthoimagery data, and has a 95% confidence interval useful for further data set integration.</p>","language":"English","publisher":"Canadian Center of Science and Education","doi":"10.5539/jgg.v8n1p28","usgsCitation":"Shoberg, T.G., 2016, Conflation and integration of archived geologic maps and associated uncertainties: Journal of Geography and Geology, v. 8, no. 1, p. 28-40, https://doi.org/10.5539/jgg.v8n1p28.","productDescription":"13 p.","startPage":"28","endPage":"40","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-071720","costCenters":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"links":[{"id":471377,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5539/jgg.v8n1p28","text":"Publisher Index Page"},{"id":318407,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"1","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-02-24","publicationStatus":"PW","scienceBaseUri":"576913b5e4b07657d19feffa","contributors":{"authors":[{"text":"Shoberg, Thomas G. 0000-0003-0173-1246 tshoberg@usgs.gov","orcid":"https://orcid.org/0000-0003-0173-1246","contributorId":3764,"corporation":false,"usgs":true,"family":"Shoberg","given":"Thomas","email":"tshoberg@usgs.gov","middleInitial":"G.","affiliations":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"preferred":true,"id":621442,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70190182,"text":"70190182 - 2016 - Consistent and efficient processing of ADCP streamflow measurements","interactions":[],"lastModifiedDate":"2022-09-15T16:14:59.415624","indexId":"70190182","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Consistent and efficient processing of ADCP streamflow measurements","docAbstract":"<p>The use of Acoustic Doppler Current Profilers (ADCPs) from a moving boat is a commonly used method for measuring streamflow. Currently, the algorithms used to compute the average depth, compute edge discharge, identify invalid data, and estimate velocity and discharge for invalid data vary among manufacturers. These differences could result in different discharges being computed from identical data. Consistent computational algorithm, automated filtering, and quality assessment of ADCP streamflow measurements that are independent of the ADCP manufacturer are being developed in a software program that can process ADCP moving-boat discharge measurements independent of the ADCP used to collect the data.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"River Flow 2016: Proceedings of the international conference on fluvial hydraulics","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"River Flow 2016: The international conference on fluvial hydraulics","conferenceDate":"July 11-14, 2016","conferenceLocation":"St. Louis, MO","language":"English","publisher":"Taylor & Francis Group","publisherLocation":"Boca Raton, FL","isbn":"978-1-138-02913-2","usgsCitation":"Mueller, D.S., 2016, Consistent and efficient processing of ADCP streamflow measurements, <i>in</i> River Flow 2016: Proceedings of the international conference on fluvial hydraulics, St. Louis, MO, July 11-14, 2016, p. 655-663.","productDescription":"9 p.","startPage":"655","endPage":"663","ipdsId":"IP-071056","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":344917,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5996ab4de4b0b589267b3fca","contributors":{"editors":[{"text":"Constantinescu, George","contributorId":174167,"corporation":false,"usgs":false,"family":"Constantinescu","given":"George","email":"","affiliations":[{"id":7241,"text":"IIHR-Hydroscience and Engineering, Department of Civil and Environmental Engineering, The University of Iowa","active":true,"usgs":false}],"preferred":false,"id":707900,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Garcia, Marcelo H.","contributorId":74236,"corporation":false,"usgs":false,"family":"Garcia","given":"Marcelo H.","affiliations":[{"id":33106,"text":"University of Illinois at Urbana Champaign","active":true,"usgs":false}],"preferred":false,"id":707901,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Hanes, Dan","contributorId":174168,"corporation":false,"usgs":false,"family":"Hanes","given":"Dan","email":"","affiliations":[{"id":12995,"text":"Department of Earth and Atmospheric Sciences, Saint Louis University","active":true,"usgs":false}],"preferred":false,"id":707902,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Mueller, David S. dmueller@usgs.gov","contributorId":1499,"corporation":false,"usgs":true,"family":"Mueller","given":"David","email":"dmueller@usgs.gov","middleInitial":"S.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":707850,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70146891,"text":"70146891 - 2016 - Natural graphite demand and supply - Implications for electric vehicle battery requirements","interactions":[],"lastModifiedDate":"2017-04-14T10:15:15","indexId":"70146891","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1727,"text":"GSA Special Papers","active":true,"publicationSubtype":{"id":10}},"title":"Natural graphite demand and supply - Implications for electric vehicle battery requirements","docAbstract":"<p><span>Electric vehicles have been promoted to reduce greenhouse gas emissions and lessen U.S. dependence on petroleum for transportation. Growth in U.S. sales of electric vehicles has been hindered by technical difficulties and the high cost of the lithium-ion batteries used to power many electric vehicles (more than 50% of the vehicle cost). Groundbreaking has begun for a lithium-ion battery factory in Nevada that, at capacity, could manufacture enough batteries to power 500,000 electric vehicles of various types and provide economies of scale to reduce the cost of batteries. Currently, primary synthetic graphite derived from petroleum coke is used in the anode of most lithium-ion batteries. An alternate may be the use of natural flake graphite, which would result in estimated graphite cost reductions of more than US$400 per vehicle at 2013 prices. Most natural flake graphite is sourced from China, the world's leading graphite producer. Sourcing natural flake graphite from deposits in North America could reduce raw material transportation costs and, given China's growing internal demand for flake graphite for its industries and ongoing environmental, labor, and mining issues, may ensure a more reliable and environmentally conscious supply of graphite. North America has flake graphite resources, and Canada is currently a producer, but most new mining projects in the United States require more than 10 yr to reach production, and demand could exceed supplies of flake graphite. Natural flake graphite may serve only to supplement synthetic graphite, at least for the short-term outlook.</span></p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/2016.2520(08)","usgsCitation":"Olson, D.W., Virta, R.L., Mahdavi, M., Sangine, E.S., and Fortier, S., 2016, Natural graphite demand and supply - Implications for electric vehicle battery requirements: GSA Special Papers, v. 520, p. 67-77, https://doi.org/10.1130/2016.2520(08).","productDescription":"11 p.","startPage":"67","endPage":"77","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065106","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":324667,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"520","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"577642b0e4b07dd077c87406","contributors":{"authors":[{"text":"Olson, Donald W. dolson@usgs.gov","contributorId":526,"corporation":false,"usgs":true,"family":"Olson","given":"Donald","email":"dolson@usgs.gov","middleInitial":"W.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":545489,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Virta, Robert L. rvirta@usgs.gov","contributorId":395,"corporation":false,"usgs":true,"family":"Virta","given":"Robert","email":"rvirta@usgs.gov","middleInitial":"L.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":545490,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mahdavi, Mahbood mmahdavi@usgs.gov","contributorId":140390,"corporation":false,"usgs":true,"family":"Mahdavi","given":"Mahbood","email":"mmahdavi@usgs.gov","affiliations":[],"preferred":true,"id":545491,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sangine, Elizabeth S. escottsangine@usgs.gov","contributorId":5806,"corporation":false,"usgs":true,"family":"Sangine","given":"Elizabeth","email":"escottsangine@usgs.gov","middleInitial":"S.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":false,"id":545492,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fortier, Steven M. sfortier@usgs.gov","contributorId":140391,"corporation":false,"usgs":true,"family":"Fortier","given":"Steven M.","email":"sfortier@usgs.gov","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":false,"id":545493,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70162226,"text":"70162226 - 2016 - Earthquake probabilities for the Wasatch front region in Utah, Idaho, and Wyoming","interactions":[],"lastModifiedDate":"2019-08-06T10:00:31","indexId":"70162226","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Earthquake probabilities for the Wasatch front region in Utah, Idaho, and Wyoming","docAbstract":"<p>In a letter to The Salt Lake Daily Tribune in September 1883, U.S. Geological Survey (USGS) geologist G.K. Gilbert warned local residents about the implications of observable fault scarps along the western base of the Wasatch Range. The scarps were evidence that large surface-rupturing earthquakes had occurred in the past and more would likely occur in the future. The main actor in this drama is the 350-km-long Wasatch fault zone (WFZ), which extends from central Utah to southernmost Idaho. The modern Wasatch Front urban corridor, which follows the valleys on the WFZ’s hanging wall between Brigham City and Nephi, is home to nearly 80% of Utah’s population of 3 million. Adding to this circumstance of “lots of eggs in one basket,” more than 75% of Utah’s economy is concentrated along the Wasatch Front in Utah’s four largest counties, literally astride the five central and most active segments of the WFZ.</p>","language":"English","publisher":"Utah Geological Survey ","usgsCitation":"Wong, I.G., Lund, W., DuRoss, C., Thomas, P., Arabasz, W., Crone, A.J., Hylland, M., Luco, N., Olig, S.S., Pechmann, J.C., Personius, S., Petersen, M.D., Schwartz, D.P., Smith, R.B., and Rowman, S., 2016, Earthquake probabilities for the Wasatch front region in Utah, Idaho, and Wyoming, Report: xiv., 164 p.; Appendixes A-E.","productDescription":"Report: xiv., 164 p.; Appendixes A-E","ipdsId":"IP-072108","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":336342,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":336340,"rank":1,"type":{"id":15,"text":"Index 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,{"id":70162557,"text":"70162557 - 2016 - Improved geomagnetic referencing in the Arctic environment","interactions":[],"lastModifiedDate":"2020-07-13T14:45:53.629471","indexId":"70162557","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Improved geomagnetic referencing in the Arctic environment","docAbstract":"<p>Geomagnetic referencing uses the Earth&rsquo;s magnetic field to determine accurate wellbore positioning essential for success in today's complex drilling programs, either as an alternative or a complement to north-seeking gyroscopic referencing. However, fluctuations in the geomagnetic field, especially at high latitudes, make the application of geomagnetic referencing in those areas more challenging. Precise crustal mapping and the monitoring of real-time variations by nearby magnetic observatories is crucial to achieving the required geomagnetic referencing accuracy. The Deadhorse Magnetic Observatory (DED), located at Prudhoe Bay, Alaska, has already played a vital role in the success of several commercial ventures in the area, providing essential, accurate, real-time data to the oilfield drilling industry. Geomagnetic referencing is enhanced with real-time data from DED and other observatories, and has been successfully used for accurate wellbore positioning. The availability of real-time geomagnetic measurements leads to significant cost and time savings in wellbore surveying, improving accuracy and alleviating the need for more expensive surveying techniques. The correct implementation of geomagnetic referencing is particularly critical as we approach the increased activity associated with the upcoming maximum of the 11-year solar cycle. The DED observatory further provides an important service to scientific communities engaged in studies of ionospheric, magnetospheric and space weather phenomena.</p>","conferenceTitle":"SPE Arctic and Extreme Environments Technical Conference and Exhibition","conferenceDate":"October 15, 2015","conferenceLocation":"Moscow, Russia","language":"English","publisher":"Society of Petroleum Engineers","doi":"10.2118/166850-MS","usgsCitation":"Poedjono, B., Beck, N., Buchanan, A.C., Borri, L., Maus, S., Finn, C., Worthington, E.W., and White, T., 2016, Improved geomagnetic referencing in the Arctic environment, SPE Arctic and Extreme Environments Technical Conference and Exhibition, Moscow, Russia, October 15, 2015, 21 p., https://doi.org/10.2118/166850-MS.","productDescription":"21 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-049377","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":314916,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2013-10-15","publicationStatus":"PW","scienceBaseUri":"56a9f847e4b012c193aa3ed0","contributors":{"authors":[{"text":"Poedjono, B.","contributorId":56465,"corporation":false,"usgs":true,"family":"Poedjono","given":"B.","affiliations":[],"preferred":false,"id":589850,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beck, N.","contributorId":18995,"corporation":false,"usgs":true,"family":"Beck","given":"N.","email":"","affiliations":[],"preferred":false,"id":589849,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buchanan, A. 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William 0000-0002-5879-0477 bworth@usgs.gov","orcid":"https://orcid.org/0000-0002-5879-0477","contributorId":2570,"corporation":false,"usgs":true,"family":"Worthington","given":"E.","email":"bworth@usgs.gov","middleInitial":"William","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":589843,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"White, Tim 0000-0002-3563-0649 ttwhite@usgs.gov","orcid":"https://orcid.org/0000-0002-3563-0649","contributorId":2010,"corporation":false,"usgs":true,"family":"White","given":"Tim","email":"ttwhite@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":589844,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70169275,"text":"70169275 - 2016 - Testing an attachment method for solar-powered tracking devices on a long-distance migrating shorebird","interactions":[],"lastModifiedDate":"2018-08-21T12:56:14","indexId":"70169275","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2409,"text":"Journal of Ornithology","active":true,"publicationSubtype":{"id":10}},"title":"Testing an attachment method for solar-powered tracking devices on a long-distance migrating shorebird","docAbstract":"<p>Small solar-powered satellite transmitters and GPS data loggers enable continuous, multi-year, and global tracking of birds. What is lacking, however, are reliable methods to attach these tracking devices to small migratory birds so that (1) flight performance is not impacted and (2) tags are retained during periods of substantial mass change associated with long-distance migration. We developed a full-body harness to attach tags to Red Knots (Calidris canutus), a medium-sized shorebird (average mass 124 g) that undertakes long-distance migrations. First, we deployed dummy tags on captive birds and monitored them over a complete migratory fattening cycle (February&ndash;July 2013) during which time they gained and lost 31&ndash;110 g and underwent a pre-alternate moult of body feathers. Using each individual&rsquo;s previous year fattening and moult data in captivity as controls, we compared individual mass and moult differences between years between the tagged and reference groups, and concluded that the attachment did not impact mass and moult cycles. However, some birds shed feathers under the tags and under the polyester harness line commonly used in avian harnesses. Feather shedding was alleviated by switching to smoothed-bottom tags and monofilament harness lines. To field-trial this design, we deployed 5-g satellite transmitters on ten Red Knots released on 3 October 2013 in the Dutch Wadden Sea. Bird movements and tag performance appeared normal. However, nine tags stopped transmitting 11&ndash;170 days post-release which was earlier than expected. We attribute this to bird mortality rather than failure of the attachments or transmitters and suggest that the extra weight and drag caused by the tag and its feather-blocking shield increased the chance of depredation by the locally common Peregrine Falcons (Falco peregrinus). Our results demonstrate that species- and place-specific contexts can strongly determine tagging success. While captive trials are an important first step in developing an attachment method, field trials are essential to fully assess attachment designs.</p>","language":"English","publisher":"Springer","doi":"10.1007/s10336-015-1276-4","usgsCitation":"Chan, Y., Brugge, M., Tibbitts, T.L., Dekinga, A., Porter, R., Klaassen, R.H., and Piersma, T., 2016, Testing an attachment method for solar-powered tracking devices on a long-distance migrating shorebird: Journal of Ornithology, v. 157, no. 1, p. 277-287, https://doi.org/10.1007/s10336-015-1276-4.","productDescription":"11 p.","startPage":"277","endPage":"287","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059681","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":471376,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1007/s10336-015-1276-4","text":"External Repository"},{"id":319339,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Denmark","otherGeospatial":"Wadden Sea","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              4.21875,\n              52.93539665862318\n            ],\n            [\n              4.21875,\n              56.108810038002154\n            ],\n            [\n              9.38232421875,\n              56.108810038002154\n            ],\n            [\n              9.38232421875,\n              52.93539665862318\n            ],\n            [\n              4.21875,\n              52.93539665862318\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"157","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-08-28","publicationStatus":"PW","scienceBaseUri":"56f50fd3e4b0f59b85e1ebd1","contributors":{"authors":[{"text":"Chan, Ying-Chi","contributorId":167762,"corporation":false,"usgs":false,"family":"Chan","given":"Ying-Chi","email":"","affiliations":[{"id":24822,"text":"Department of Marine Ecology, NIOZ Royal Netherlands Institute for Sea Research","active":true,"usgs":false}],"preferred":false,"id":623429,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brugge, Martin","contributorId":167763,"corporation":false,"usgs":false,"family":"Brugge","given":"Martin","email":"","affiliations":[{"id":24822,"text":"Department of Marine Ecology, NIOZ Royal Netherlands Institute for Sea Research","active":true,"usgs":false}],"preferred":false,"id":623430,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tibbitts, T. Lee 0000-0002-0290-7592 ltibbitts@usgs.gov","orcid":"https://orcid.org/0000-0002-0290-7592","contributorId":140455,"corporation":false,"usgs":true,"family":"Tibbitts","given":"T.","email":"ltibbitts@usgs.gov","middleInitial":"Lee","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":false,"id":623428,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dekinga, Anne","contributorId":52000,"corporation":false,"usgs":true,"family":"Dekinga","given":"Anne","affiliations":[],"preferred":false,"id":623431,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Porter, Ron","contributorId":93993,"corporation":false,"usgs":true,"family":"Porter","given":"Ron","email":"","affiliations":[],"preferred":false,"id":623432,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Klaassen, Raymond H. G.","contributorId":167764,"corporation":false,"usgs":false,"family":"Klaassen","given":"Raymond","email":"","middleInitial":"H. G.","affiliations":[{"id":24823,"text":"Animal Ecology Group, Groningen Institute for Evolutionary Life Sciences (GELIFES), University of Groningen","active":true,"usgs":false}],"preferred":false,"id":623433,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Piersma, Theunis","contributorId":45863,"corporation":false,"usgs":true,"family":"Piersma","given":"Theunis","affiliations":[],"preferred":false,"id":623434,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70194448,"text":"70194448 - 2016 - LakeMetabolizer: An R package for estimating lake metabolism from free-water oxygen using diverse statistical models","interactions":[],"lastModifiedDate":"2018-01-24T16:05:13","indexId":"70194448","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1999,"text":"Inland Waters","active":true,"publicationSubtype":{"id":10}},"title":"LakeMetabolizer: An R package for estimating lake metabolism from free-water oxygen using diverse statistical models","docAbstract":"<p><span>Metabolism is a fundamental process in ecosystems that crosses multiple scales of organization from individual organisms to whole ecosystems. To improve sharing and reuse of published metabolism models, we developed LakeMetabolizer, an R package for estimating lake metabolism from&nbsp;</span><i>in situ<span>&nbsp;</span></i><span>time series of dissolved oxygen, water temperature, and, optionally, additional environmental variables. LakeMetabolizer implements 5 different metabolism models with diverse statistical underpinnings: bookkeeping, ordinary least squares, maximum likelihood, Kalman filter, and Bayesian. Each of these 5 metabolism models can be combined with 1 of 7 models for computing the coefficient of gas exchange across the air–water interface (</span><i>k</i><span>). LakeMetabolizer also features a variety of supporting functions that compute conversions and implement calculations commonly applied to raw data prior to estimating metabolism (e.g., oxygen saturation and optical conversion models). These tools have been organized into an R package that contains example data, example use-cases, and function documentation. The release package version is available on the Comprehensive R Archive Network (CRAN), and the full open-source GPL-licensed code is freely available for examination and extension online. With this unified, open-source, and freely available package, we hope to improve access and facilitate the application of metabolism in studies and management of lentic ecosystems.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/IW-6.4.883","usgsCitation":"Winslow, L., Zwart, J., Batt, R., Dugan, H., Woolway, R., Corman, J., Hanson, P.C., and Read, J.S., 2016, LakeMetabolizer: An R package for estimating lake metabolism from free-water oxygen using diverse statistical models: Inland Waters, v. 6, no. 4, p. 622-636, https://doi.org/10.1080/IW-6.4.883.","productDescription":"15 p.","startPage":"622","endPage":"636","ipdsId":"IP-065534","costCenters":[{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true}],"links":[{"id":349534,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"4","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2018-01-02","publicationStatus":"PW","scienceBaseUri":"5a60fd87e4b06e28e9c24fa5","contributors":{"authors":[{"text":"Winslow, Luke 0000-0002-8602-5510 lwinslow@usgs.gov","orcid":"https://orcid.org/0000-0002-8602-5510","contributorId":168947,"corporation":false,"usgs":true,"family":"Winslow","given":"Luke","email":"lwinslow@usgs.gov","affiliations":[{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true},{"id":5054,"text":"Office of Water Information","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":723877,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zwart, Jacob A.","contributorId":173345,"corporation":false,"usgs":false,"family":"Zwart","given":"Jacob A.","affiliations":[{"id":16905,"text":"University of Notre Dame, Dept. of Biological Sciences, Notre Dame, IN, 46556, USA","active":true,"usgs":false}],"preferred":false,"id":723878,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Batt, Ryan D.","contributorId":168948,"corporation":false,"usgs":false,"family":"Batt","given":"Ryan D.","affiliations":[{"id":25393,"text":"Department of Ecology, Evolution, and Natural Resources, Rutgers University, New Brunswick, New Jersey, USA 08901","active":true,"usgs":false}],"preferred":false,"id":723879,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dugan, Hilary A.","contributorId":150191,"corporation":false,"usgs":false,"family":"Dugan","given":"Hilary","middleInitial":"A.","affiliations":[{"id":17938,"text":"Center for Limnology University of Wisconsin, Madison, WI 53706, US","active":true,"usgs":false}],"preferred":false,"id":723880,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Woolway, R. Iestyn","contributorId":150345,"corporation":false,"usgs":false,"family":"Woolway","given":"R. Iestyn","affiliations":[{"id":18007,"text":"Lake Ecosystems Group, Centre for Ecology & Hydrology, Lancaster Environment Centre, Library Avenue, Bailrigg, Lancaster, LA1 4AP, UK.","active":true,"usgs":false}],"preferred":false,"id":723881,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Corman, Jessica","contributorId":194469,"corporation":false,"usgs":false,"family":"Corman","given":"Jessica","affiliations":[],"preferred":false,"id":723882,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hanson, Paul C.","contributorId":35634,"corporation":false,"usgs":false,"family":"Hanson","given":"Paul","email":"","middleInitial":"C.","affiliations":[{"id":12951,"text":"Center for Limnology, University of Wisconsin Madison","active":true,"usgs":false}],"preferred":false,"id":723883,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Read, Jordan S. 0000-0002-3888-6631 jread@usgs.gov","orcid":"https://orcid.org/0000-0002-3888-6631","contributorId":4453,"corporation":false,"usgs":true,"family":"Read","given":"Jordan","email":"jread@usgs.gov","middleInitial":"S.","affiliations":[{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":5054,"text":"Office of Water Information","active":true,"usgs":true}],"preferred":true,"id":723884,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70176473,"text":"70176473 - 2016 - The development of small, cabled, real-time video based observation systems for near shore coastal marine science including three examples and lessons learned","interactions":[],"lastModifiedDate":"2017-04-11T12:17:00","indexId":"70176473","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"The development of small, cabled, real-time video based observation systems for near shore coastal marine science including three examples and lessons learned","docAbstract":"<p><span>The effects of climate change on the near shore coastal environment including ocean acidification, accelerated erosion, destruction of coral reefs, and damage to marine habitat have highlighted the need for improved equipment to study, monitor, and evaluate these changes [1]. This is especially true where areas of study are remote, large, or beyond depths easily accessible to divers. To this end, we have developed three examples of low cost and easily deployable real-time ocean observation platforms. We followed a scalable design approach adding complexity and capability as familiarity and experience were gained with system components saving both time and money by reducing design mistakes. The purpose of this paper is to provide information for the researcher, technician, or engineer who finds themselves in need of creating or acquiring similar platforms.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Oceans 16 MTS/IEEE Conference Proceedings","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"OCEANS’16 MTS/IEEE Monterey","conferenceDate":"September 19-23, 2016","conferenceLocation":"Monterey, CA","language":"English","publisher":"MTS/IEEE","doi":"10.1109/OCEANS.2016.7761096","usgsCitation":"Hatcher, G., and Okuda, C., 2016, The development of small, cabled, real-time video based observation systems for near shore coastal marine science including three examples and lessons learned, <i>in</i> Oceans 16 MTS/IEEE Conference Proceedings, Monterey, CA, September 19-23, 2016, 6 p., https://doi.org/10.1109/OCEANS.2016.7761096.","productDescription":"6 p.","ipdsId":"IP-078441","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":339569,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58edba76e4b0eed1ab8c6f31","contributors":{"authors":[{"text":"Hatcher, Gerry ghatcher@usgs.gov","contributorId":3556,"corporation":false,"usgs":true,"family":"Hatcher","given":"Gerry","email":"ghatcher@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":648860,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Okuda, Craig","contributorId":174641,"corporation":false,"usgs":false,"family":"Okuda","given":"Craig","email":"","affiliations":[],"preferred":false,"id":648861,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70176424,"text":"70176424 - 2016 - The international scale of the groundwater issue","interactions":[],"lastModifiedDate":"2017-02-27T13:40:42","indexId":"70176424","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"The international scale of the groundwater issue","docAbstract":"Throughout history, and throughout the world, groundwater has been a major source of water for sustaining human life. Use of this resource has increased dramatically over the last century. In many areas of the world, the balance between human and ecosystem needs is difficult to maintain. Understanding the international scale of the groundwater issue requires metrics and analysis at a commensurate scale. Advances in remote sensing supplement older traditional direct measurement methods for understanding the magnitude of depletion, and all measurements motivate the need for common data standards to collect and share information. In addition to metrics of groundwater availability, four key international groundwater issues are depletion of water, degradation of water quality, the water-energy nexus, and transboundary water conflicts. This chapter is devoted to introducing these issues, which are also discussed in more detail in later chapters.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Integrated groundwater management","language":"English","publisher":"Springer","doi":"10.1007/978-3-319-23576-9_2","usgsCitation":"Fienen, M., and Arshad, M., 2016, The international scale of the groundwater issue, chap. <i>of</i> Integrated groundwater management, p. 21-48, https://doi.org/10.1007/978-3-319-23576-9_2.","productDescription":"28 p. ","startPage":"21","endPage":"48","ipdsId":"IP-057780","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":488563,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/978-3-319-23576-9_2","text":"Publisher Index Page"},{"id":336276,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":328594,"type":{"id":15,"text":"Index Page"},"url":"https://link.springer.com/chapter/10.1007%2F978-3-319-23576-9_2"}],"publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58b548c2e4b01ccd54fddfc2","contributors":{"authors":[{"text":"Fienen, Michael 0000-0002-7756-4651 mnfienen@usgs.gov","orcid":"https://orcid.org/0000-0002-7756-4651","contributorId":174604,"corporation":false,"usgs":true,"family":"Fienen","given":"Michael","email":"mnfienen@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":648711,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arshad, Muhammad","contributorId":173852,"corporation":false,"usgs":false,"family":"Arshad","given":"Muhammad","email":"","affiliations":[{"id":17939,"text":"The Australian National University","active":true,"usgs":false}],"preferred":false,"id":648712,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70193061,"text":"70193061 - 2016 - Upper bound of abutment scour in laboratory and field data","interactions":[],"lastModifiedDate":"2017-11-20T16:58:53","indexId":"70193061","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3647,"text":"Transportation Research Record","active":true,"publicationSubtype":{"id":10}},"title":"Upper bound of abutment scour in laboratory and field data","docAbstract":"The U.S. Geological Survey, in cooperation with the South Carolina Department of Transportation, conducted a field investigation of abutment scour in South Carolina and used those data to develop envelope curves that define the upper bound of abutment scour. To expand on this previous work, an additional cooperative investigation was initiated to combine the South Carolina data with abutment scour data from other sources and evaluate upper bound patterns with this larger data set. To facilitate this analysis, 446 laboratory and 331 field measurements of abutment scour were compiled into a digital database. This extensive database was used to evaluate the South Carolina abutment scour envelope curves and to develop additional envelope curves that reflected the upper bound of abutment scour depth for the laboratory and field data. 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,{"id":70176488,"text":"70176488 - 2016 - Science framework for the conservation and restoration strategy of DOI secretarial order 3336: Utilizing resilience and resistance concepts to assess threats to sagebrush ecosystems and greater sage-grouse, prioritize conservation and restoration actions, and inform management strategies","interactions":[],"lastModifiedDate":"2017-04-19T12:02:04","indexId":"70176488","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"title":"Science framework for the conservation and restoration strategy of DOI secretarial order 3336: Utilizing resilience and resistance concepts to assess threats to sagebrush ecosystems and greater sage-grouse, prioritize conservation and restoration actions, and inform management strategies","docAbstract":"<p><span>The Science Framework for the Conservation and Restoration Strategy of the Department of the Interior, Secretarial Order 3336 (SO 3336), Rangeland Fire Prevention, Management and Restoration, provides a strategic, multiscale approach for prioritizing areas for management and determining effective management strategies across the sagebrush biome. The emphasis of this version is on sagebrush ecosystems and greater sage-grouse. The Science Framework uses a six step process in which sagebrush ecosystem resilience to disturbance and resistance to nonnative, invasive annual grasses is linked to species habitat information based on the distribution and abundance of focal species. The predominant ecosystem and anthropogenic threats are assessed, and a habitat matrix is developed that helps decision makers evaluate risks and determine appropriate management strategies at regional and local scales. Areas are prioritized for management action using a geospatial approach that overlays resilience and resistance, species habitat information, and predominant threats. Decision tools are discussed for determining the suitability of priority areas for management and the most appropriate management actions at regional to local scales. The Science Framework and geospatial crosscut are intended to complement the mitigation strategies associated with the Greater Sage-Grouse Land Use Plan amendments for the Department of the Interior Bureaus, such as the Bureau of Land Management, and the U.S. Forest Service.</span></p>","language":"English","publisher":"U.S. Department of Agriculture","collaboration":"U.S. Forest Service, Bureau of Land Management, U.S. Fish and Wildlife Service, Western Association of Fish and Wildlife Agencies","usgsCitation":"Chambers, J., Campbell, S., Carlson, J., Beck, J., Clause, K.J., Dinkins, J.B., Doherty, K., Espinosa, S., Griffin, K.A., Christiansen, T.J., Crist, M.R., Havlina, D.W., Hanser, S.E., Henke, K.F., Hennig, J.D., Kurth, L.L., Maestas, J.D., Mayer, K., Manning, M., Mealor, B.A., McCarthy, C., Pellant, M., Prentice, K.L., Perea, M.A., Pyke, D.A., Wiechman, L.A., and Wuenschel, A., 2016, Science framework for the conservation and restoration strategy of DOI secretarial order 3336: Utilizing resilience and resistance concepts to assess threats to sagebrush ecosystems and greater sage-grouse, prioritize conservation and restoration actions, and inform management strategies, 202 p. .","productDescription":"202 p. 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J.","contributorId":24237,"corporation":false,"usgs":true,"family":"Christiansen","given":"Thomas","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":673401,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Crist, Michele R. mcrist@usgs.gov","contributorId":146831,"corporation":false,"usgs":true,"family":"Crist","given":"Michele","email":"mcrist@usgs.gov","middleInitial":"R.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":673403,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Hanser, Steve E. 0000-0002-4430-2073 shanser@usgs.gov","orcid":"https://orcid.org/0000-0002-4430-2073","contributorId":152523,"corporation":false,"usgs":true,"family":"Hanser","given":"Steve","email":"shanser@usgs.gov","middleInitial":"E.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":648931,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Havlina, Douglas W.","contributorId":177567,"corporation":false,"usgs":false,"family":"Havlina","given":"Douglas","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":673408,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Henke, Kenneth F.","contributorId":184045,"corporation":false,"usgs":false,"family":"Henke","given":"Kenneth","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":673411,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Hennig, Jacob D.","contributorId":177569,"corporation":false,"usgs":false,"family":"Hennig","given":"Jacob","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":673412,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Kurth, Laurie L.","contributorId":47050,"corporation":false,"usgs":true,"family":"Kurth","given":"Laurie","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":673413,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Maestas, Jeremy D.","contributorId":117298,"corporation":false,"usgs":true,"family":"Maestas","given":"Jeremy","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":673414,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Mayer, Kenneth E. ","contributorId":177568,"corporation":false,"usgs":false,"family":"Mayer","given":"Kenneth E. ","affiliations":[],"preferred":false,"id":673417,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Manning, Mary E.","contributorId":177570,"corporation":false,"usgs":false,"family":"Manning","given":"Mary E.","affiliations":[],"preferred":false,"id":673415,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Mealor, Brian A.","contributorId":152584,"corporation":false,"usgs":false,"family":"Mealor","given":"Brian","email":"","middleInitial":"A.","affiliations":[{"id":6656,"text":"University of Wyoming, Renewable Resources","active":true,"usgs":false}],"preferred":false,"id":673416,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"McCarthy, Clinton","contributorId":177571,"corporation":false,"usgs":false,"family":"McCarthy","given":"Clinton","email":"","affiliations":[],"preferred":false,"id":673418,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Pellant, Mike","contributorId":97057,"corporation":false,"usgs":true,"family":"Pellant","given":"Mike","affiliations":[],"preferred":false,"id":673419,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Prentice, Karen L.","contributorId":184046,"corporation":false,"usgs":false,"family":"Prentice","given":"Karen","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":673421,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Perea, Marco A.","contributorId":177572,"corporation":false,"usgs":false,"family":"Perea","given":"Marco","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":673420,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Wiechman, Lief A. 0000-0002-3804-4426","orcid":"https://orcid.org/0000-0002-3804-4426","contributorId":184047,"corporation":false,"usgs":true,"family":"Wiechman","given":"Lief","email":"","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":673422,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Pyke, David A. 0000-0002-4578-8335 david_a_pyke@usgs.gov","orcid":"https://orcid.org/0000-0002-4578-8335","contributorId":3118,"corporation":false,"usgs":true,"family":"Pyke","given":"David","email":"david_a_pyke@usgs.gov","middleInitial":"A.","affiliations":[{"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":648932,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Wuenschel, Amarina","contributorId":117463,"corporation":false,"usgs":true,"family":"Wuenschel","given":"Amarina","affiliations":[],"preferred":false,"id":673423,"contributorType":{"id":1,"text":"Authors"},"rank":27}]}}
,{"id":70176484,"text":"70176484 - 2016 - Dispersal and spatial heterogeneity: Single species","interactions":[],"lastModifiedDate":"2016-09-19T08:59:41","indexId":"70176484","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2384,"text":"Journal of Mathematical Biology","active":true,"publicationSubtype":{"id":10}},"title":"Dispersal and spatial heterogeneity: Single species","docAbstract":"<p><span>A recent result for a reaction-diffusion equation is that a population diffusing at any rate in an environment in which resources vary spatially will reach a higher total equilibrium biomass than the population in an environment in which the same total resources are distributed homogeneously. This has so far been proven by Lou for the case in which the reaction term has only one parameter, </span><span id=\"IEq1\" class=\"InlineEquation\"><span id=\"MathJax-Element-1-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mi>m</mi><mo stretchy=&quot;false&quot;>(</mo><mi>x</mi><mo stretchy=&quot;false&quot;>)</mo></math>\"><span id=\"MathJax-Span-1\" class=\"math\"><span><span><span id=\"MathJax-Span-2\" class=\"mrow\"><span id=\"MathJax-Span-3\" class=\"mi\">m</span><span id=\"MathJax-Span-4\" class=\"mo\">(</span><span id=\"MathJax-Span-5\" class=\"mi\">x</span><span id=\"MathJax-Span-6\" class=\"mo\">)</span></span></span></span></span><span class=\"MJX_Assistive_MathML\">m(x)</span></span></span><span>, varying with spatial location </span><span id=\"IEq2\" class=\"InlineEquation\"><span id=\"MathJax-Element-2-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mi>x</mi></math>\"><span id=\"MathJax-Span-7\" class=\"math\"><span><span><span id=\"MathJax-Span-8\" class=\"mrow\"><span id=\"MathJax-Span-9\" class=\"mi\">x</span></span></span></span></span><span class=\"MJX_Assistive_MathML\">x</span></span></span><span>, which serves as both the intrinsic growth rate coefficient and carrying capacity of the population. However, this striking result seems rather limited when applies to real populations. In order to make the model more relevant for ecologists, we consider a logistic reaction term, with two parameters, </span><span id=\"IEq3\" class=\"InlineEquation\"><span id=\"MathJax-Element-3-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mi>r</mi><mo stretchy=&quot;false&quot;>(</mo><mi>x</mi><mo stretchy=&quot;false&quot;>)</mo></math>\"><span id=\"MathJax-Span-10\" class=\"math\"><span><span><span id=\"MathJax-Span-11\" class=\"mrow\"><span id=\"MathJax-Span-12\" class=\"mi\">r</span><span id=\"MathJax-Span-13\" class=\"mo\">(</span><span id=\"MathJax-Span-14\" class=\"mi\">x</span><span id=\"MathJax-Span-15\" class=\"mo\">)</span></span></span></span></span><span class=\"MJX_Assistive_MathML\">r(x)</span></span></span><span> for intrinsic growth rate, and </span><span id=\"IEq4\" class=\"InlineEquation\"><span id=\"MathJax-Element-4-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mi>K</mi><mo stretchy=&quot;false&quot;>(</mo><mi>x</mi><mo stretchy=&quot;false&quot;>)</mo></math>\"><span id=\"MathJax-Span-16\" class=\"math\"><span><span><span id=\"MathJax-Span-17\" class=\"mrow\"><span id=\"MathJax-Span-18\" class=\"mi\">K</span><span id=\"MathJax-Span-19\" class=\"mo\">(</span><span id=\"MathJax-Span-20\" class=\"mi\">x</span><span id=\"MathJax-Span-21\" class=\"mo\">)</span></span></span></span></span><span class=\"MJX_Assistive_MathML\">K(x)</span></span></span><span> for carrying capacity. When </span><span id=\"IEq5\" class=\"InlineEquation\"><span id=\"MathJax-Element-5-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mi>r</mi><mo stretchy=&quot;false&quot;>(</mo><mi>x</mi><mo stretchy=&quot;false&quot;>)</mo></math>\"><span id=\"MathJax-Span-22\" class=\"math\"><span><span><span id=\"MathJax-Span-23\" class=\"mrow\"><span id=\"MathJax-Span-24\" class=\"mi\">r</span><span id=\"MathJax-Span-25\" class=\"mo\">(</span><span id=\"MathJax-Span-26\" class=\"mi\">x</span><span id=\"MathJax-Span-27\" class=\"mo\">)</span></span></span></span></span><span class=\"MJX_Assistive_MathML\">r(x)</span></span></span><span> and </span><span id=\"IEq6\" class=\"InlineEquation\"><span id=\"MathJax-Element-6-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mi>K</mi><mo stretchy=&quot;false&quot;>(</mo><mi>x</mi><mo stretchy=&quot;false&quot;>)</mo></math>\"><span id=\"MathJax-Span-28\" class=\"math\"><span><span><span id=\"MathJax-Span-29\" class=\"mrow\"><span id=\"MathJax-Span-30\" class=\"mi\">K</span><span id=\"MathJax-Span-31\" class=\"mo\">(</span><span id=\"MathJax-Span-32\" class=\"mi\">x</span><span id=\"MathJax-Span-33\" class=\"mo\">)</span></span></span></span></span><span class=\"MJX_Assistive_MathML\">K(x)</span></span></span><span> are proportional, the logistic equation takes a particularly simple form, and the earlier result still holds. In this paper we have established the result for the more general case of a positive correlation between </span><span id=\"IEq7\" class=\"InlineEquation\"><span id=\"MathJax-Element-7-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mi>r</mi><mo stretchy=&quot;false&quot;>(</mo><mi>x</mi><mo stretchy=&quot;false&quot;>)</mo></math>\"><span id=\"MathJax-Span-34\" class=\"math\"><span><span><span id=\"MathJax-Span-35\" class=\"mrow\"><span id=\"MathJax-Span-36\" class=\"mi\">r</span><span id=\"MathJax-Span-37\" class=\"mo\">(</span><span id=\"MathJax-Span-38\" class=\"mi\">x</span><span id=\"MathJax-Span-39\" class=\"mo\">)</span></span></span></span></span><span class=\"MJX_Assistive_MathML\">r(x)</span></span></span><span> and </span><span id=\"IEq8\" class=\"InlineEquation\"><span id=\"MathJax-Element-8-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mi>K</mi><mo stretchy=&quot;false&quot;>(</mo><mi>x</mi><mo stretchy=&quot;false&quot;>)</mo></math>\"><span id=\"MathJax-Span-40\" class=\"math\"><span><span><span id=\"MathJax-Span-41\" class=\"mrow\"><span id=\"MathJax-Span-42\" class=\"mi\">K</span><span id=\"MathJax-Span-43\" class=\"mo\">(</span><span id=\"MathJax-Span-44\" class=\"mi\">x</span><span id=\"MathJax-Span-45\" class=\"mo\">)</span></span></span></span></span><span class=\"MJX_Assistive_MathML\">K(x)</span></span></span><span> when dispersal rate is small. We review natural and laboratory systems to which these results are relevant and discuss the implications of the results to population theory and conservation ecology.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00285-015-0879-y","usgsCitation":"DeAngelis, D.L., Ni, W., and Zhang, B., 2016, Dispersal and spatial heterogeneity: Single species: Journal of Mathematical Biology, v. 72, no. 1, p. 239-254, https://doi.org/10.1007/s00285-015-0879-y.","productDescription":"16 p.","startPage":"239","endPage":"254","ipdsId":"IP-068977","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":328702,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"72","issue":"1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2015-04-11","publicationStatus":"PW","scienceBaseUri":"57f7c6e6e4b0bc0bec09cbe3","contributors":{"authors":[{"text":"DeAngelis, Donald L. 0000-0002-1570-4057 don_deangelis@usgs.gov","orcid":"https://orcid.org/0000-0002-1570-4057","contributorId":148065,"corporation":false,"usgs":true,"family":"DeAngelis","given":"Donald","email":"don_deangelis@usgs.gov","middleInitial":"L.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":648911,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ni, Wei-Ming","contributorId":146528,"corporation":false,"usgs":false,"family":"Ni","given":"Wei-Ming","email":"","affiliations":[{"id":16716,"text":"University of Minnesota : East China Normal University","active":true,"usgs":false}],"preferred":false,"id":648912,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhang, Bo","contributorId":146526,"corporation":false,"usgs":false,"family":"Zhang","given":"Bo","email":"","affiliations":[{"id":16714,"text":"Dept. of Biology, University of Miami","active":true,"usgs":false}],"preferred":false,"id":648913,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70193055,"text":"70193055 - 2016 - Interactions among American badgers, black-footed ferrets, and prairie dogs in the grasslands of western North America","interactions":[],"lastModifiedDate":"2017-12-01T14:10:18","indexId":"70193055","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Interactions among American badgers, black-footed ferrets, and prairie dogs in the grasslands of western North America","docAbstract":"American badgers (Taxidea taxus) and black-footed ferrets (Mustela nigripes) sometimes occur sympatrically within colonies of prairie dogs (Cynomys spp.) in the grasslands of western North America. From the perspective of a simplified food web, badgers are consumers of ferrets and, to a greater extent, prairie dogs; ferrets are specialized consumers of prairie dogs; and prairie dogs are consumers of vegetation. We review information on the predatory behaviours of badgers, which collectively demonstrate that badgers exhibit complex hunting strategies to improve their probability of capturing prairie dogs and, perhaps, ferrets. We also review studies of interactions between badgers and ferrets, which suggest that there is selective pressure on badgers to compete with ferrets, and pressure on ferrets to compete with and avoid badgers. We then speculate as to how prairie dogs might shape interactions between badgers and ferrets, and how badgers could spread the plague bacterium (Yersinia pestis) among prairie dog colonies. Lastly, we provide recommendations for research on this tractable system of semi-fossorial predators and prey.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Badgers: Systematics, biology, conservation and research techniques","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Alpha Wildlife Publication","usgsCitation":"Eads, D., Biggins, D.E., Grassel, S.M., Livieri, T.M., and Licht, D.S., 2016, Interactions among American badgers, black-footed ferrets, and prairie dogs in the grasslands of western North America, chap. <i>of</i> Badgers: Systematics, biology, conservation and research techniques, p. 198-218.","productDescription":"21 p.","startPage":"198","endPage":"218","ipdsId":"IP-066617","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":349640,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fd88e4b06e28e9c24fce","contributors":{"editors":[{"text":"Proulx, Gilbert","contributorId":201093,"corporation":false,"usgs":false,"family":"Proulx","given":"Gilbert","email":"","affiliations":[],"preferred":false,"id":724309,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Do Linh San, Emmanuel","contributorId":201094,"corporation":false,"usgs":false,"family":"Do Linh San","given":"Emmanuel","email":"","affiliations":[],"preferred":false,"id":724310,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Eads, David A.","contributorId":198976,"corporation":false,"usgs":false,"family":"Eads","given":"David A.","affiliations":[],"preferred":false,"id":717764,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Biggins, Dean E. 0000-0003-2078-671X bigginsd@usgs.gov","orcid":"https://orcid.org/0000-0003-2078-671X","contributorId":2522,"corporation":false,"usgs":true,"family":"Biggins","given":"Dean","email":"bigginsd@usgs.gov","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":717763,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grassel, Shaun M.","contributorId":150648,"corporation":false,"usgs":false,"family":"Grassel","given":"Shaun","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":717765,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Livieri, Travis M.","contributorId":198977,"corporation":false,"usgs":false,"family":"Livieri","given":"Travis","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":717766,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Licht, Daniel S.","contributorId":198978,"corporation":false,"usgs":false,"family":"Licht","given":"Daniel","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":717767,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70198170,"text":"70198170 - 2016 - Nutrient dynamics of the Delta: Effects on primary producers","interactions":[],"lastModifiedDate":"2018-07-18T16:03:45","indexId":"70198170","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3331,"text":"San Francisco Estuary and Watershed Science","active":true,"publicationSubtype":{"id":10}},"title":"Nutrient dynamics of the Delta: Effects on primary producers","docAbstract":"<p><span>Increasing clarity of Delta waters, the emergence of harmful algal blooms, the proliferation of aquatic water weeds, and the altered food web of the Delta have brought nutrient dynamics to the forefront. This paper focuses on the sources of nutrients, the transformation and uptake of nutrients, and the links of nutrients to primary producers. The largest loads of nutrients to the Delta come from the Sacramento River with the San Joaquin River seasonally important, especially in the summer. Nutrient concentrations reflect riverine inputs in winter and internal biological processes during periods of lower flow with internal nitrogen losses within the Delta estimated at approximately 30% annually. Light regime, grazing pressure, and nutrient availability influence rates of primary production at different times and locations within the Delta. The roles of the chemical form of dissolved inorganic nitrogen in growth rates of primary producers in the Delta and the structure of the open-water algal community are currently topics of much interest and considerable debate. Harmful algal blooms have been noted since the late 1990s, and the extent of invasive aquatic macrophytes (both submerged and free-floating forms) has increased especially during years of drought. Elevated nutrient loads must be considered in terms of their ability to support this excess biomass. Modern sensor technology and networks are now deployed that make high-frequency measurements of nitrate, ammonium, and phosphate. Data from such instruments allow a much more detailed assessment of the spatial and temporal dynamics of nutrients. Four fruitful directions for future research include utilizing continuous sensor data to estimate rates of primary production and ecosystem respiration, linking hydrodynamic models of the Delta with the transport and fate of dissolved nutrients, studying nutrient dynamics in various habitat types, and exploring the use of stable isotopes to trace the movement and fate of effluent-derived nutrients.</span></p>","language":"English","publisher":"University of California","doi":"10.15447/sfews.2016v14iss4art4","usgsCitation":"Dahm, C., Parker, A.E., Adelson, A.E., Christman, M.A., and Bergamaschi, B.A., 2016, Nutrient dynamics of the Delta: Effects on primary producers: San Francisco Estuary and Watershed Science, v. 14, no. 4, Article 4; 35 p., https://doi.org/10.15447/sfews.2016v14iss4art4.","productDescription":"Article 4; 35 p.","ipdsId":"IP-099451","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":471375,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.15447/sfews.2016v14iss4art4","text":"Publisher Index Page"},{"id":355816,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sacramento-San Joaquin Delta","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.13775634765625,\n              37.73053874574077\n            ],\n            [\n              -121.25610351562499,\n              37.73053874574077\n            ],\n            [\n              -121.25610351562499,\n              38.25112269630296\n            ],\n            [\n              -122.13775634765625,\n              38.25112269630296\n            ],\n            [\n              -122.13775634765625,\n              37.73053874574077\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"14","issue":"4","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-28","publicationStatus":"PW","scienceBaseUri":"5b6fca10e4b0f5d57878ec8c","contributors":{"authors":[{"text":"Dahm, Clifford N.","contributorId":22730,"corporation":false,"usgs":false,"family":"Dahm","given":"Clifford N.","affiliations":[{"id":7000,"text":"Department of Biology, University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":740403,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Parker, Alexander E.","contributorId":206434,"corporation":false,"usgs":false,"family":"Parker","given":"Alexander","email":"","middleInitial":"E.","affiliations":[{"id":37328,"text":"California State University Maritime Academy Vallejo, CA","active":true,"usgs":false}],"preferred":false,"id":740404,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Adelson, Anne E.","contributorId":206435,"corporation":false,"usgs":false,"family":"Adelson","given":"Anne","email":"","middleInitial":"E.","affiliations":[{"id":37329,"text":"Delta Stewardship Council Sacramento, CA","active":true,"usgs":false}],"preferred":false,"id":740405,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Christman, Mairgareth A.","contributorId":206436,"corporation":false,"usgs":false,"family":"Christman","given":"Mairgareth","email":"","middleInitial":"A.","affiliations":[{"id":37330,"text":"Delta Stewardship Council, Sacramento, CA","active":true,"usgs":false}],"preferred":false,"id":740406,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bergamaschi, Brian A. 0000-0002-9610-5581 bbergama@usgs.gov","orcid":"https://orcid.org/0000-0002-9610-5581","contributorId":140776,"corporation":false,"usgs":true,"family":"Bergamaschi","given":"Brian","email":"bbergama@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":740402,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70182728,"text":"70182728 - 2016 - Getting quantitative about consequences of cross-ecosystem resource subsidies on recipient consumers","interactions":[],"lastModifiedDate":"2017-02-27T15:05:46","indexId":"70182728","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Getting quantitative about consequences of cross-ecosystem resource subsidies on recipient consumers","docAbstract":"<p><span>Most studies of cross-ecosystem resource subsidies have demonstrated positive effects on recipient consumer populations, often with very large effect sizes. However, it is important to move beyond these initial addition–exclusion experiments to consider the quantitative consequences for populations across gradients in the rates and quality of resource inputs. In our introduction to this special issue, we describe at least four potential models that describe functional relationships between subsidy input rates and consumer responses, most of them asymptotic. Here we aim to advance our quantitative understanding of how subsidy inputs influence recipient consumers and their communities. In the papers following, fish were either the recipient consumers or the subsidy as carcasses of anadromous species. Advancing general, predictive models will enable us to further consider what other factors are potentially co-limiting (e.g., nutrients, other population interactions, physical habitat, etc.) and better integrate resource subsidies into consumer–resource, biophysical dynamics models.</span></p>","language":"English","publisher":"NRC Research Press","doi":"10.1139/cjfas-2016-0242","usgsCitation":"Richardson, J.S., and Wipfli, M.S., 2016, Getting quantitative about consequences of cross-ecosystem resource subsidies on recipient consumers: Canadian Journal of Fisheries and Aquatic Sciences, v. 73, no. 11, p. 1609-1615, https://doi.org/10.1139/cjfas-2016-0242.","productDescription":"7 p. ","startPage":"1609","endPage":"1615","ipdsId":"IP-076982","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":471574,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1139/cjfas-2016-0242","text":"External Repository"},{"id":336296,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"73","issue":"11","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58b548c1e4b01ccd54fddfbc","contributors":{"authors":[{"text":"Richardson, John S.","contributorId":172517,"corporation":false,"usgs":false,"family":"Richardson","given":"John","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":673504,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wipfli, Mark S. 0000-0002-4856-6068 mwipfli@usgs.gov","orcid":"https://orcid.org/0000-0002-4856-6068","contributorId":1425,"corporation":false,"usgs":true,"family":"Wipfli","given":"Mark","email":"mwipfli@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":673479,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70193297,"text":"70193297 - 2016 - Subsidence induced by underground extraction","interactions":[],"lastModifiedDate":"2019-09-06T10:47:51","indexId":"70193297","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Subsidence induced by underground extraction","docAbstract":"<p><span>Subsidence induced by underground extraction is a class of human-induced (anthropogenic) land subsidence that principally is caused by the withdrawal of subsurface fluids (groundwater, oil, and gas) or by the underground mining of coal and other minerals.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Encyclopedia of Natural Hazards","language":"English","publisher":"Springer","doi":"10.1007/978-1-4020-4399-4_336","usgsCitation":"Galloway, D.L., 2016, Subsidence induced by underground extraction, chap. <i>of</i> Encyclopedia of Natural Hazards, https://doi.org/10.1007/978-1-4020-4399-4_336.","ipdsId":"IP-018844","costCenters":[{"id":5078,"text":"Southwest Regional Director's Office","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":351828,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2016-01-21","publicationStatus":"PW","scienceBaseUri":"5afeea4ce4b0da30c1bfc5e3","contributors":{"authors":[{"text":"Galloway, Devin L. 0000-0003-0904-5355 dlgallow@usgs.gov","orcid":"https://orcid.org/0000-0003-0904-5355","contributorId":679,"corporation":false,"usgs":true,"family":"Galloway","given":"Devin","email":"dlgallow@usgs.gov","middleInitial":"L.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5058,"text":"Office of the Chief Scientist for Water","active":true,"usgs":true},{"id":5078,"text":"Southwest Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":718581,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70188829,"text":"70188829 - 2016 - U-Pb, Re-Os, and Ar/Ar geochronology of rare earth element (REE)-rich breccia pipes and associated host rocks from the Mesoproterozoic Pea Ridge Fe-REE-Au deposit, St. Francois Mountains, Missouri","interactions":[],"lastModifiedDate":"2018-11-19T11:30:41","indexId":"70188829","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1472,"text":"Economic Geology","active":true,"publicationSubtype":{"id":10}},"title":"U-Pb, Re-Os, and Ar/Ar geochronology of rare earth element (REE)-rich breccia pipes and associated host rocks from the Mesoproterozoic Pea Ridge Fe-REE-Au deposit, St. Francois Mountains, Missouri","docAbstract":"<p>Rare earth element (REE)-rich breccia pipes (600,000 t @ 12% rare earth oxides) are preserved along the margins of the 136-million metric ton (Mt) Pea Ridge magnetite-apatite deposit, within Mesoproterozoic (~1.47 Ga) volcanic-plutonic rocks of the St. Francois Mountains terrane in southeastern Missouri, United States. The breccia pipes cut the rhyolite-hosted magnetite deposit and contain clasts of nearly all local bedrock and mineralized lithologies.</p><p>Grains of monazite and xenotime were extracted from breccia pipe samples for SHRIMP U-Pb geochronology; both minerals were also dated in one polished thin section. Monazite forms two morphologies: (1) matrix granular grains composed of numerous small (&lt;50<span>&nbsp;</span><i>μ</i>m) crystallites intergrown with rare xenotime, thorite, apatite, and magnetite; and (2) coarse euhedral, glassy, bright-yellow grains similar to typical igneous or metamorphic monazite. Trace element abundances (including REE patterns) were determined on selected grains of monazite (both morphologies) and xenotime. Zircon grains from two samples of host rhyolite and two late felsic dikes collected underground at Pea Ridge were also dated. Additional geochronology done on breccia pipe minerals includes Re-Os on fine-grained molybdenite and<span>&nbsp;</span><sup>40</sup>Ar/<sup>39</sup>Ar on muscovite, biotite, and K-feldspar.</p><p>Ages (±2<i>σ</i><span>&nbsp;</span>errors) obtained by SHRIMP U-Pb analysis are as follows: (1) zircon from the two host rhyolite samples have ages of 1473.6 ± 8.0 and 1472.7 ± 5.6 Ma; most zircon in late felsic dikes is interpreted as xenocrystic (age range ca. 1522–1455 Ma); a population of rare spongy zircon is likely of igneous origin and yields an age of 1441 ± 9 Ma; (2) pale-yellow granular monazite—1464.9 ± 3.3 Ma (no dated xenotime); (3) reddish matrix granular monazite—1462.0 ± 3.5 Ma and associated xenotime—1453 ± 11 Ma; (4) coarse glassy-yellow monazite—1464.8 ± 2.1, 1461.7 ± 3.7 Ma, with rims at 1447.2 ± 4.7 Ma; and (5) matrix monazite (in situ)—1464.1 ± 3.6 and 1454.6 ± 9.6 Ma, and matrix xenotime (in situ)—1468.0 ± 8.0 Ma. Two slightly older ages of cores are about 1478 Ma. The young age of rims on the coarse glassy monazite coincides with an Re-Os age of 1440.6 ± 9.2 Ma determined in this study for molybdenite intergrown with quartz and allanite, and with the age of monazite inclusions in apatite from the magnetite ore (<a class=\"link link-ref link-reveal xref-bibr\" data-open=\"b53-1111883\">Neymark et al., 2016</a>). A<span>&nbsp;</span><sup>40</sup>Ar/<sup>39</sup>Ar age of 1473 ± 1 Ma was obtained for muscovite from a breccia pipe sample.</p><p>Geochronology and trace element geochemical data suggest that the granular matrix monazite and xenotime (in polygonal texture), and cores of coarse glassy monazite precipitated from hydrothermal fluids during breccia pipes formation at about 1465 Ma. The second episode of mineral growth at ca. 1443 Ma may be related to faulting and fluid flow that rebrecciated the pipes. The ca. 10-m.y. gap between the ages of host volcanic rocks and breccia pipe monazite and xenotime suggests that breccia pipe mineral formation cannot be related to the felsic magmatism represented by the rhyolitic volcanic rocks, and hence is linked to a different magmatic-hydrothermal system.</p>","language":"English","publisher":"Society of Economic Geologists","doi":"10.2113/econgeo.111.8.1883","usgsCitation":"Aleinikoff, J.N., Selby, D., Slack, J.F., Day, W.C., Pillers, R.M., Cosca, M.A., Seeger, C., Fanning, C.M., and Samson, I., 2016, U-Pb, Re-Os, and Ar/Ar geochronology of rare earth element (REE)-rich breccia pipes and associated host rocks from the Mesoproterozoic Pea Ridge Fe-REE-Au deposit, St. Francois Mountains, Missouri: Economic Geology, v. 111, no. 8, p. 1883-1914, https://doi.org/10.2113/econgeo.111.8.1883.","productDescription":"32 p.","startPage":"1883","endPage":"1914","ipdsId":"IP-070483","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":482077,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://durham-repository.worktribe.com/output/1402277","text":"External Repository"},{"id":352931,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Missouri","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -91.5,\n              38.25\n            ],\n            [\n              -91.5,\n              37\n            ],\n            [\n              -89.9395751953125,\n              37\n            ],\n            [\n              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David","contributorId":193460,"corporation":false,"usgs":false,"family":"Selby","given":"David","email":"","affiliations":[],"preferred":false,"id":700527,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Slack, John F. 0000-0001-6600-3130 jfslack@usgs.gov","orcid":"https://orcid.org/0000-0001-6600-3130","contributorId":1032,"corporation":false,"usgs":true,"family":"Slack","given":"John","email":"jfslack@usgs.gov","middleInitial":"F.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":700528,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Day, Warren C. 0000-0002-9278-2120 wday@usgs.gov","orcid":"https://orcid.org/0000-0002-9278-2120","contributorId":1308,"corporation":false,"usgs":true,"family":"Day","given":"Warren","email":"wday@usgs.gov","middleInitial":"C.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":700529,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pillers, Renee M. 0000-0003-4929-1569 rpillers@usgs.gov","orcid":"https://orcid.org/0000-0003-4929-1569","contributorId":2501,"corporation":false,"usgs":true,"family":"Pillers","given":"Renee","email":"rpillers@usgs.gov","middleInitial":"M.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":700530,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cosca, Michael A. 0000-0002-0600-7663 mcosca@usgs.gov","orcid":"https://orcid.org/0000-0002-0600-7663","contributorId":1000,"corporation":false,"usgs":true,"family":"Cosca","given":"Michael","email":"mcosca@usgs.gov","middleInitial":"A.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":700531,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Seeger, Cheryl","contributorId":193461,"corporation":false,"usgs":false,"family":"Seeger","given":"Cheryl","affiliations":[],"preferred":false,"id":700532,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fanning, C. Mark","contributorId":193462,"corporation":false,"usgs":false,"family":"Fanning","given":"C.","email":"","middleInitial":"Mark","affiliations":[],"preferred":false,"id":700533,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Samson, Iain","contributorId":193463,"corporation":false,"usgs":false,"family":"Samson","given":"Iain","affiliations":[],"preferred":false,"id":700534,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
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