{"pageNumber":"1353","pageRowStart":"33800","pageSize":"25","recordCount":165415,"records":[{"id":70073895,"text":"70073895 - 2014 - Geologic setting and stratigraphy of the Ziegler Reservoir fossil site, Snowmass Village, Colorado","interactions":[],"lastModifiedDate":"2014-02-14T11:44:40","indexId":"70073895","displayToPublicDate":"2014-02-01T09:44:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3218,"text":"Quaternary Research","active":true,"publicationSubtype":{"id":10}},"title":"Geologic setting and stratigraphy of the Ziegler Reservoir fossil site, Snowmass Village, Colorado","docAbstract":"The geologic setting of the Ziegler Reservoir fossil site is somewhat unusual – the sediments containing the Pleistocene fossils were deposited in a lake on top of a ridge. The lake basin was formed near the Town of Snowmass Village, Colorado when a glacier flowing down Snowmass Creek Valley became thick enough to overtop a low point in the eastern valley wall and entered the head of Brush Creek Valley. When the glacier retreated at the end of the marine isotope stage (MIS) 6, ~155-130 ka (thousands of years before present), the Brush Creek Valley lobe left behind a moraine that impounded a small alpine lake. The lake was initially ~10 m deep and was highly productive during most of its existence based on the abundant and exquisitely preserved organic material present in the sediments. Over time, the basin slowly filled with (mostly) eolian sediment such that by ~85 ka it contained more of a marsh or wetland than a true lake. Open water conditions returned briefly between ~75 and 55 ka before the impoundment was finally breached to the east, establishing ties with the Brush Creek drainage system and creating an alpine meadow that persisted until historic times.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Quaternary Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"publisher":"Elsevier","doi":"10.1016/j.yqres.2013.12.011","usgsCitation":"Pigati, J.S., Miller, I.M., Johnson, K.R., Honke, J., Carrara, P.E., Muhs, D.R., Skipp, G., and Bryant, B., 2014, Geologic setting and stratigraphy of the Ziegler Reservoir fossil site, Snowmass Village, Colorado: Quaternary Research, 13 p., https://doi.org/10.1016/j.yqres.2013.12.011.","productDescription":"13 p.","ipdsId":"IP-051953","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":282399,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":282397,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.yqres.2013.12.011"}],"country":"United States","state":"Colorado","otherGeospatial":"Snowmass Village","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -106.989321,39.155859 ], [ -106.989321,39.291971 ], [ -106.897133,39.291971 ], [ -106.897133,39.155859 ], [ -106.989321,39.155859 ] ] ] } } ] }","noUsgsAuthors":false,"publicationDate":"2017-01-20","publicationStatus":"PW","scienceBaseUri":"53517042e4b05569d805a229","contributors":{"authors":[{"text":"Pigati, Jeff S.","contributorId":60114,"corporation":false,"usgs":true,"family":"Pigati","given":"Jeff","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":489158,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, Ian M. 0000-0002-3289-6337","orcid":"https://orcid.org/0000-0002-3289-6337","contributorId":41951,"corporation":false,"usgs":false,"family":"Miller","given":"Ian","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":489156,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Kirk R.","contributorId":16877,"corporation":false,"usgs":true,"family":"Johnson","given":"Kirk","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":489155,"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":489157,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Carrara, Paul E. pcarrara@usgs.gov","contributorId":1342,"corporation":false,"usgs":true,"family":"Carrara","given":"Paul","email":"pcarrara@usgs.gov","middleInitial":"E.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":489151,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Muhs, Daniel R. 0000-0001-7449-251X dmuhs@usgs.gov","orcid":"https://orcid.org/0000-0001-7449-251X","contributorId":1857,"corporation":false,"usgs":true,"family":"Muhs","given":"Daniel","email":"dmuhs@usgs.gov","middleInitial":"R.","affiliations":[{"id":218,"text":"Denver Federal Center","active":false,"usgs":true}],"preferred":true,"id":489153,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Skipp, Gary","contributorId":6458,"corporation":false,"usgs":true,"family":"Skipp","given":"Gary","affiliations":[],"preferred":false,"id":489154,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bryant, Bruce bbryant@usgs.gov","contributorId":1355,"corporation":false,"usgs":true,"family":"Bryant","given":"Bruce","email":"bbryant@usgs.gov","affiliations":[],"preferred":false,"id":489152,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70131505,"text":"70131505 - 2014 - Contrasting past and current numbers of bears visiting Yellowstone cutthroat trout streams","interactions":[],"lastModifiedDate":"2018-03-17T17:30:47","indexId":"70131505","displayToPublicDate":"2014-02-01T09:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Contrasting past and current numbers of bears visiting Yellowstone cutthroat trout streams","docAbstract":"Spawning cutthroat trout (Oncorhynchus clarkii bouvieri) were historically abundant within tributary streams of Yellowstone Lake within Yellowstone National Park and were a highly digestible source of energy and protein for Yellowstone’s grizzly bears (Ursus arctos) and black bears (U. americanus). The cutthroat trout population has subsequently declined since the introduction of non-native lake trout (Salvelinus namaycush), and in response to effects of drought and whirling disease (Myxobolus cerebralis). The trout population, duration of spawning runs, and indices of bear use of spawning streams had declined in some regions of the lake by 1997–2000. We initiated a 3-year study in 2007 to assess whether numbers of spawning fish, black bears, and grizzly bears within and alongside stream corridors had changed since 1997– 2000. We estimated numbers of grizzly bears and black bears by first compiling encounter histories of individual bears visiting 48 hair-snag sites along 35 historically fished streams.We analyzed DNA encounter histories with Pradel-recruitment and Jolly-Seber (POPAN) capture-mark-recapture models. When compared to 1997–2000, the current number of spawning cutthroat trout per stream and the number of streams with cutthroat trout has decreased. We estimated that 48 (95% CI¼42–56) male and 23 (95% CI¼21–27) female grizzly bears visited the historically fished tributary streams during our study. In any 1- year, 46 to 59 independent grizzly bears (8–10% of estimated Greater Yellowstone Ecosystem population) visited these streams. When compared with estimates from the 1997 to 2000 study and adjusted for equal effort, the number of grizzly bears using the stream corridors decreased by 63%. Additionally, the number of black bears decreased between 64% and 84%. We also document an increased proportion of bears of both species visiting front-country (i.e., near human development) streams. With the recovery of cutthroat trout, we suggest bears that still reside within the Lake basin will readily use this high-quality food resource.
","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.667","usgsCitation":"Haroldson, M.A., Schwartz, C.C., Teisberg, J.E., Gunther, K.A., Fortin, J., and Robbins, C.T., 2014, Contrasting past and current numbers of bears visiting Yellowstone cutthroat trout streams: Journal of Wildlife Management, v. 78, no. 2, p. 369-378, https://doi.org/10.1002/jwmg.667.","productDescription":"10 p.","startPage":"369","endPage":"378","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-036772","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":296029,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"78","issue":"2","noUsgsAuthors":false,"publicationDate":"2014-02-13","publicationStatus":"PW","scienceBaseUri":"5465d630e4b04d4b7dbd65ac","contributors":{"authors":[{"text":"Haroldson, Mark A. 0000-0002-7457-7676 mharoldson@usgs.gov","orcid":"https://orcid.org/0000-0002-7457-7676","contributorId":1773,"corporation":false,"usgs":true,"family":"Haroldson","given":"Mark","email":"mharoldson@usgs.gov","middleInitial":"A.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":521365,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schwartz, Charles C.","contributorId":55950,"corporation":false,"usgs":true,"family":"Schwartz","given":"Charles","email":"","middleInitial":"C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":false,"id":521364,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Teisberg, Justin E.","contributorId":124582,"corporation":false,"usgs":false,"family":"Teisberg","given":"Justin","email":"","middleInitial":"E.","affiliations":[{"id":5127,"text":"Washington State University, P.O. Box 644236, Pullman, WA 99164","active":true,"usgs":false}],"preferred":false,"id":521368,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Gunther, Kerry A.","contributorId":190246,"corporation":false,"usgs":false,"family":"Gunther","given":"Kerry","email":"","middleInitial":"A.","affiliations":[{"id":5130,"text":"Bear Management Office, Yellowstone National Park, WY 82190, USA","active":true,"usgs":false}],"preferred":false,"id":521369,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Fortin, Jennifer K. jfortin-noreus@usgs.gov","contributorId":5419,"corporation":false,"usgs":true,"family":"Fortin","given":"Jennifer K.","email":"jfortin-noreus@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":false,"id":521367,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Robbins, Charles T.","contributorId":124585,"corporation":false,"usgs":false,"family":"Robbins","given":"Charles","email":"","middleInitial":"T.","affiliations":[{"id":5127,"text":"Washington State University, P.O. Box 644236, Pullman, WA 99164","active":true,"usgs":false}],"preferred":false,"id":521366,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70111733,"text":"70111733 - 2014 - Changing climate and the altitudinal range of avian malaria in the Hawaiian Islands: an ongoing conservation crisis on the island of Kaua'i","interactions":[],"lastModifiedDate":"2018-01-04T12:46:59","indexId":"70111733","displayToPublicDate":"2014-02-01T09:08:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Changing climate and the altitudinal range of avian malaria in the Hawaiian Islands: an ongoing conservation crisis on the island of Kaua'i","docAbstract":"Transmission of avian malaria in the Hawaiian Islands varies across altitudinal gradients and is greatest at elevations below 1500 m where both temperature and moisture are favorable for the sole mosquito vector, Culex quinquefasciatus, and extrinsic sporogonic development of the parasite, Plasmodium relictum. Potential consequences of global warming on this system have been recognized for over a decade with concerns that increases in mean temperatures could lead to expansion of malaria into habitats where cool temperatures currently limit transmission to highly susceptible endemic forest birds. Recent declines in two endangered species on the island of Kaua'i, the ‘Akikiki (Oreomystis bairdi) and ‘Akeke'e (Loxops caeruleirostris), and retreat of more common native honeycreepers to the last remaining high elevation habitat on the Alaka'i Plateau suggest that predicted changes in disease transmission may be occurring. We compared prevalence of malarial infections in forest birds that were sampled at three locations on the Plateau during 1994–1997 and again during 2007–2013, and also evaluated changes in the occurrence of mosquito larvae in available aquatic habitats during the same time periods. Prevalence of infection increased significantly at the lower (1100 m, 10.3% to 28.2%), middle (1250 m, 8.4% to 12.2%), and upper ends of the Plateau (1350 m, 2.0% to 19.3%). A concurrent increase in detections of Culex larvae in aquatic habitats associated with stream margins indicates that populations of the vector are also increasing. These increases are at least in part due to local transmission because overall prevalence in Kaua'i ‘Elepaio (Chasiempis sclateri), a sedentary native species, has increased from 17.2% to 27.0%. Increasing mean air temperatures, declining precipitation, and changes in streamflow that have taken place over the past 20 years are creating environmental conditions throughout major portions of the Alaka'i Plateau that support increased transmission of avian malaria.
","language":"English","publisher":"Wiley","doi":"10.1111/gcb.12535","usgsCitation":"Atkinson, C.T., Utzurrum, R.B., LaPointe, D.A., Camp, R., Crampton, L., Foster, J., and Giambelluca, T.W., 2014, Changing climate and the altitudinal range of avian malaria in the Hawaiian Islands: an ongoing conservation crisis on the island of Kaua'i: Global Change Biology, v. 20, no. 8, p. 2426-2436, https://doi.org/10.1111/gcb.12535.","productDescription":"11 p.","startPage":"2426","endPage":"2436","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053761","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":288167,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":288157,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/gcb.12535"}],"country":"United States","state":"Hawai'i","city":"Kaua'i","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -159.787933,21.868284 ], [ -159.787933,22.232661 ], [ -159.292459,22.232661 ], [ -159.292459,21.868284 ], [ -159.787933,21.868284 ] ] ] } } ] }","volume":"20","issue":"8","noUsgsAuthors":false,"publicationDate":"2014-02-27","publicationStatus":"PW","scienceBaseUri":"5396d763e4b0f7580bc0a8da","chorus":{"doi":"10.1111/gcb.12535","url":"http://dx.doi.org/10.1111/gcb.12535","publisher":"Wiley-Blackwell","authors":"Atkinson Carter T., Utzurrum Ruth B., Lapointe Dennis A., Camp Richard J., Crampton Lisa H., Foster Jeffrey T., Giambelluca Thomas W.","journalName":"Global Change Biology","publicationDate":"2/27/2014","auditedOn":"11/1/2014"},"contributors":{"authors":[{"text":"Atkinson, Carter T. 0000-0002-4232-5335 catkinson@usgs.gov","orcid":"https://orcid.org/0000-0002-4232-5335","contributorId":1124,"corporation":false,"usgs":true,"family":"Atkinson","given":"Carter","email":"catkinson@usgs.gov","middleInitial":"T.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":494452,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Utzurrum, Ruth B.","contributorId":86260,"corporation":false,"usgs":true,"family":"Utzurrum","given":"Ruth","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":494457,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"LaPointe, Dennis A.","contributorId":63900,"corporation":false,"usgs":true,"family":"LaPointe","given":"Dennis","email":"","middleInitial":"A.","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":494455,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Camp, Richard J.","contributorId":27392,"corporation":false,"usgs":true,"family":"Camp","given":"Richard J.","affiliations":[],"preferred":false,"id":494454,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Crampton, Lisa H.","contributorId":101188,"corporation":false,"usgs":true,"family":"Crampton","given":"Lisa H.","affiliations":[],"preferred":false,"id":494458,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Foster, Jeffrey T.","contributorId":8744,"corporation":false,"usgs":true,"family":"Foster","given":"Jeffrey T.","affiliations":[],"preferred":false,"id":494453,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Giambelluca, Thomas W.","contributorId":70069,"corporation":false,"usgs":true,"family":"Giambelluca","given":"Thomas","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":494456,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70118020,"text":"70118020 - 2014 - Regional distribution models with lack of proximate predictors: Africanized honeybees expanding north","interactions":[],"lastModifiedDate":"2014-07-25T09:06:42","indexId":"70118020","displayToPublicDate":"2014-02-01T09:04:24","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1399,"text":"Diversity and Distributions","active":true,"publicationSubtype":{"id":10}},"title":"Regional distribution models with lack of proximate predictors: Africanized honeybees expanding north","docAbstract":"Species distribution models have often been hampered by poor local species data, reliance on coarse-scale climate predictors and the assumption that species–environment relationships, even with non-proximate predictors, are consistent across geographical space. Yet locally accurate maps of invasive species, such as the Africanized honeybee (AHB) in North America, are needed to support conservation efforts. Current AHB range maps are relatively coarse and are inconsistent with observed data. Our aim was to improve distribution maps using more proximate predictors (phenology) and using regional models rather than one across the entire range of interest to explore potential differences in drivers.
","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Diversity and Distributions","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Blackwell Science","publisherLocation":"Oxford, England","doi":"10.1111/ddi.12143","usgsCitation":"Jarnevich, C.S., Esaias, W.E., Ma, P.L., Morisette, J., Nickeson, J.E., Stohlgren, T.J., Holcombe, T.R., Nightingale, J.M., Wolfe, R.E., and Tan, B., 2014, Regional distribution models with lack of proximate predictors: Africanized honeybees expanding north: Diversity and Distributions, v. 20, no. 2, p. 193-201, https://doi.org/10.1111/ddi.12143.","productDescription":"9 p.","startPage":"193","endPage":"201","numberOfPages":"9","costCenters":[],"links":[{"id":473191,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ddi.12143","text":"Publisher Index Page"},{"id":290965,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":290964,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/ddi.12143"}],"volume":"20","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-11-09","publicationStatus":"PW","scienceBaseUri":"57f7f164e4b0bc0bec09fd56","contributors":{"authors":[{"text":"Jarnevich, Catherine S. 0000-0002-9699-2336 jarnevichc@usgs.gov","orcid":"https://orcid.org/0000-0002-9699-2336","contributorId":3424,"corporation":false,"usgs":true,"family":"Jarnevich","given":"Catherine","email":"jarnevichc@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":496126,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Esaias, Wayne E.","contributorId":12379,"corporation":false,"usgs":true,"family":"Esaias","given":"Wayne","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":496128,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ma, Peter L.A.","contributorId":71484,"corporation":false,"usgs":true,"family":"Ma","given":"Peter","email":"","middleInitial":"L.A.","affiliations":[],"preferred":false,"id":496133,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Morisette, Jeffery T. 0000-0002-0483-0082","orcid":"https://orcid.org/0000-0002-0483-0082","contributorId":39297,"corporation":false,"usgs":true,"family":"Morisette","given":"Jeffery T.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":496129,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nickeson, Jaime E.","contributorId":51659,"corporation":false,"usgs":true,"family":"Nickeson","given":"Jaime","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":496130,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stohlgren, Thomas J. 0000-0001-9696-4450 stohlgrent@usgs.gov","orcid":"https://orcid.org/0000-0001-9696-4450","contributorId":2902,"corporation":false,"usgs":true,"family":"Stohlgren","given":"Thomas","email":"stohlgrent@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":496125,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Holcombe, Tracy R. holcombet@usgs.gov","contributorId":3694,"corporation":false,"usgs":true,"family":"Holcombe","given":"Tracy","email":"holcombet@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":496127,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Nightingale, Joanne M.","contributorId":55347,"corporation":false,"usgs":true,"family":"Nightingale","given":"Joanne","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":496131,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wolfe, Robert E.","contributorId":56560,"corporation":false,"usgs":true,"family":"Wolfe","given":"Robert","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":496132,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Tan, Bin","contributorId":76232,"corporation":false,"usgs":true,"family":"Tan","given":"Bin","email":"","affiliations":[],"preferred":false,"id":496134,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70047815,"text":"70047815 - 2014 - Increased flexibility for modeling telemetry and nest-survival data using the multistate framework","interactions":[],"lastModifiedDate":"2014-03-18T15:55:49","indexId":"70047815","displayToPublicDate":"2014-02-01T08:46:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Increased flexibility for modeling telemetry and nest-survival data using the multistate framework","docAbstract":"Although telemetry is one of the most common tools used in the study of wildlife, advances in the analysis of telemetry data have lagged compared to progress in the development of telemetry devices. We demonstrate how standard known-fate telemetry and related nest-survival data analysis models are special cases of the more general multistate framework. We present a short theoretical development, and 2 case examples regarding the American black duck and the mallard. We also present a more complex lynx data analysis. Although not necessary in all situations, the multistate framework provides additional flexibility to analyze telemetry data, which may help analysts and biologists better deal with the vagaries of real-world data collection.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Wildlife Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/jwmg.660","usgsCitation":"Devineau, O., Kendall, W.L., Doherty, P.F., Shenk, T.M., White, G.C., Lukacs, P.M., and Burnham, K.P., 2014, Increased flexibility for modeling telemetry and nest-survival data using the multistate framework: Journal of Wildlife Management, v. 78, no. 2, p. 224-230, https://doi.org/10.1002/jwmg.660.","productDescription":"7 P.","startPage":"224","endPage":"230","numberOfPages":"7","ipdsId":"IP-042596","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":284190,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":284189,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jwmg.660"}],"volume":"78","issue":"2","noUsgsAuthors":false,"publicationDate":"2014-02-13","publicationStatus":"PW","scienceBaseUri":"5351704fe4b05569d805a2e9","contributors":{"authors":[{"text":"Devineau, Olivier","contributorId":7991,"corporation":false,"usgs":true,"family":"Devineau","given":"Olivier","email":"","affiliations":[],"preferred":false,"id":483040,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kendall, William L. wkendall@usgs.gov","contributorId":406,"corporation":false,"usgs":true,"family":"Kendall","given":"William","email":"wkendall@usgs.gov","middleInitial":"L.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":483039,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Doherty, Paul F. Jr.","contributorId":37636,"corporation":false,"usgs":false,"family":"Doherty","given":"Paul","suffix":"Jr.","email":"","middleInitial":"F.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":483041,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shenk, Tanya M.","contributorId":82451,"corporation":false,"usgs":true,"family":"Shenk","given":"Tanya","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":483043,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"White, Gary C.","contributorId":66831,"corporation":false,"usgs":false,"family":"White","given":"Gary","email":"","middleInitial":"C.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":483042,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lukacs, Paul M.","contributorId":101240,"corporation":false,"usgs":true,"family":"Lukacs","given":"Paul","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":483045,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Burnham, Kenneth P.","contributorId":95025,"corporation":false,"usgs":true,"family":"Burnham","given":"Kenneth","email":"","middleInitial":"P.","affiliations":[{"id":189,"text":"Colorado Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"preferred":false,"id":483044,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70144442,"text":"70144442 - 2014 - Coupled hydrological and biogeochemical processes controlling variability of nitrogen species in streamflow during autumn in an upland forest","interactions":[],"lastModifiedDate":"2015-03-30T15:20:16","indexId":"70144442","displayToPublicDate":"2014-02-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Coupled hydrological and biogeochemical processes controlling variability of nitrogen species in streamflow during autumn in an upland forest","docAbstract":"Autumn is a season of dynamic change in forest streams of the northeastern United States due to effects of leaf fall on both hydrology and biogeochemistry. Few studies have explored how interactions of biogeochemical transformations, various nitrogen sources, and catchment flow paths affect stream nitrogen variation during autumn. To provide more information on this critical period, we studied (1) the timing, duration, and magnitude of changes to stream nitrate, dissolved organic nitrogen (DON), and ammonium concentrations; (2) changes in nitrate sources and cycling; and (3) source areas of the landscape that most influence stream nitrogen. We collected samples at higher temporal resolution for a longer duration than typical studies of stream nitrogen during autumn. This sampling scheme encompassed the patterns and extremes that occurred during base flow and stormflow events of autumn. Base flow nitrate concentrations decreased by an order of magnitude from 5.4 to 0.7 µmol L−1 during the week when most leaves fell from deciduous trees. Changes to rates of biogeochemical transformations during autumn base flow explained the low nitrate concentrations; in-stream transformations retained up to 72% of the nitrate that entered a stream reach. A decrease of in-stream nitrification coupled with heterotrophic nitrate cycling were primary factors in the seasonal nitrate decline. The period of low nitrate concentrations ended with a storm event in which stream nitrate concentrations increased by 25-fold. In the ensuing weeks, peak stormflow nitrate concentrations progressively decreased over closely spaced, yet similarly sized events. Most stormflow nitrate originated from nitrification in near-stream areas with occasional, large inputs of unprocessed atmospheric nitrate, which has rarely been reported for nonsnowmelt events. A maximum input of 33% unprocessed atmospheric nitrate to the stream occurred during one event. Large inputs of unprocessed atmospheric nitrate show direct and rapid effects on forest streams that may be widespread, although undocumented, throughout nitrogen-polluted temperate forests. In contrast to a week-long nitrate decline during peak autumn litterfall, base flow DON concentrations increased after leaf fall and remained high for 2 months. Dissolved organic nitrogen was hydrologically flushed to the stream from riparian soils during stormflow. In contrast to distinct seasonal changes in base flow nitrate and DON concentrations, ammonium concentrations were typically at or below the detection limit, similar to the rest of the year. Our findings reveal couplings among catchment flow paths, nutrient sources, and transformations that control seasonal extremes of stream nitrogen in forested landscapes.
","language":"English","publisher":"Wiley-Blackwell Publishing, Inc.","doi":"10.1002/2013WR013670","usgsCitation":"Sebestyen, S.D., Shanley, J.B., Boyer, E.W., Kendall, C., and Doctor, D.H., 2014, Coupled hydrological and biogeochemical processes controlling variability of nitrogen species in streamflow during autumn in an upland forest: Water Resources Research, v. 50, no. 2, p. 1569-1591, https://doi.org/10.1002/2013WR013670.","productDescription":"23 p.","startPage":"1569","endPage":"1591","numberOfPages":"23","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051358","costCenters":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"links":[{"id":473199,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2013wr013670","text":"Publisher Index Page"},{"id":299159,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Vermont","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -72.13794708251953,\n 44.51878604321945\n ],\n [\n -72.22721099853516,\n 44.39625939021994\n ],\n [\n -72.16850280761719,\n 44.38521938054099\n ],\n [\n -72.17056274414062,\n 44.37196862007497\n ],\n [\n -72.09468841552734,\n 44.35773298166116\n ],\n [\n -72.04627990722656,\n 44.39895774251037\n ],\n [\n -72.08404541015625,\n 44.51070720877548\n ],\n [\n -72.13794708251953,\n 44.51878604321945\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"50","issue":"2","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2014-02-24","publicationStatus":"PW","scienceBaseUri":"551a75cde4b0323842783502","contributors":{"authors":[{"text":"Sebestyen, Stephen D.","contributorId":107562,"corporation":false,"usgs":true,"family":"Sebestyen","given":"Stephen","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":543654,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shanley, James B. 0000-0002-4234-3437 jshanley@usgs.gov","orcid":"https://orcid.org/0000-0002-4234-3437","contributorId":1953,"corporation":false,"usgs":true,"family":"Shanley","given":"James","email":"jshanley@usgs.gov","middleInitial":"B.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":543655,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boyer, Elizabeth W.","contributorId":44659,"corporation":false,"usgs":false,"family":"Boyer","given":"Elizabeth","email":"","middleInitial":"W.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":543656,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kendall, Carol 0000-0002-0247-3405 ckendall@usgs.gov","orcid":"https://orcid.org/0000-0002-0247-3405","contributorId":1462,"corporation":false,"usgs":true,"family":"Kendall","given":"Carol","email":"ckendall@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":543657,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Doctor, Daniel H. 0000-0002-8338-9722 dhdoctor@usgs.gov","orcid":"https://orcid.org/0000-0002-8338-9722","contributorId":2037,"corporation":false,"usgs":true,"family":"Doctor","given":"Daniel","email":"dhdoctor@usgs.gov","middleInitial":"H.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":543658,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70144627,"text":"70144627 - 2014 - Colony social structure in native and invasive populations of the social wasp Vespula pensylvanica","interactions":[],"lastModifiedDate":"2018-01-04T12:49:55","indexId":"70144627","displayToPublicDate":"2014-02-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Colony social structure in native and invasive populations of the social wasp Vespula pensylvanica","docAbstract":"Social insects rank among the most invasive of terrestrial species. The success of invasive social insects stems, in part, from the flexibility derived from their social behaviors. We used genetic markers to investigate if the social system of the invasive wasp, Vespula pensylvanica, differed in its introduced and native habitats in order to better understand variation in social phenotype in invasive social species. We found that (1) nestmate workers showed lower levels of relatedness in introduced populations than native populations, (2) introduced colonies contained workers produced by multiple queens whereas native colonies contained workers produced by only a single queen, (3) queen mate number did not differ significantly between introduced and native colonies, and (4) workers from introduced colonies were frequently produced by queens that originated from foreign nests. Thus, overall, native and introduced colonies differed substantially in social phenotype because introduced colonies more frequently contained workers produced by multiple, foreign queens. In addition, the similarity in levels of genetic variation in introduced and native habitats, as well as observed variation in colony social phenotype in native populations, suggest that colony structure in invasive populations may be partially associated with social plasticity. Overall, the differences in social structure observed in invasive V. pensylvanica parallel those in other, distantly related invasive social insects, suggesting that insect societies often develop similar social phenotypes upon introduction into new habitats.
","language":"English","publisher":"Springer","doi":"10.1007/s10530-013-0517-9","usgsCitation":"Hanna, C., Cook, E.D., Thompson, A.R., Dare, L.E., Palaski, A.L., Foote, D., and Goodisman, M.A., 2014, Colony social structure in native and invasive populations of the social wasp Vespula pensylvanica: Biological Invasions, v. 16, no. 2, p. 283-294, https://doi.org/10.1007/s10530-013-0517-9.","productDescription":"12 p.","startPage":"283","endPage":"294","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055424","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":299190,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2013-07-24","publicationStatus":"PW","scienceBaseUri":"551bc529e4b0323842783a3f","contributors":{"authors":[{"text":"Hanna, Cause","contributorId":69035,"corporation":false,"usgs":false,"family":"Hanna","given":"Cause","affiliations":[{"id":13013,"text":"Department of Environmental Science, Policy and Management, University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":543758,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cook, Erin D.","contributorId":140016,"corporation":false,"usgs":false,"family":"Cook","given":"Erin","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":543762,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, Ariel R.","contributorId":140017,"corporation":false,"usgs":false,"family":"Thompson","given":"Ariel","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":543763,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dare, Lyndzey E.","contributorId":140018,"corporation":false,"usgs":false,"family":"Dare","given":"Lyndzey","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":543764,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Palaski, Amanda L.","contributorId":140019,"corporation":false,"usgs":false,"family":"Palaski","given":"Amanda","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":543765,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Foote, David dfoote@usgs.gov","contributorId":375,"corporation":false,"usgs":true,"family":"Foote","given":"David","email":"dfoote@usgs.gov","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":543757,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Goodisman, Michael A. D.","contributorId":140020,"corporation":false,"usgs":false,"family":"Goodisman","given":"Michael","email":"","middleInitial":"A. D.","affiliations":[],"preferred":false,"id":543766,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70138505,"text":"70138505 - 2014 - Methylmercury production in and export from agricultural wetlands in California, USA: the need to account for physical transport processes into and out of the root zone","interactions":[],"lastModifiedDate":"2015-01-20T11:34:12","indexId":"70138505","displayToPublicDate":"2014-02-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Methylmercury production in and export from agricultural wetlands in California, USA: the need to account for physical transport processes into and out of the root zone","docAbstract":"Concentration and mass balance analyses were used to quantify methylmercury (MeHg) loads from conventional (white) rice, wild rice, and fallowed fields in northern California's Yolo Bypass. These analyses were standardized against chloride to distinguish transport pathways and net ecosystem production (NEP). During summer, chloride loads were both exported with surface water and moved into the root zone at a 2:1 ratio. MeHg and dissolved organic carbon (DOC) behaved similarly with surface water and root zone exports at ~ 3:1 ratio. These trends reversed in winter with DOC, MeHg, and chloride moving from the root zone to surface waters at rates opposite and exceeding summertime root zone fluxes. These trends suggest that summer transpiration advectively moves constituents from surface water into the root zone, and winter diffusion, driven by concentration gradients, subsequently releases those constituents into surface waters. The results challenge a number of paradigms regarding MeHg. Specifically, biogeochemical conditions favoring microbial MeHg production do not necessarily translate to synchronous surface water exports; MeHg may be preserved in the soils allowing for release at a later time; and plants play a role in both biogeochemistry and transport. Our calculations show that NEP of MeHg occurred during both summer irrigation and winter flooding. Wild rice wet harvesting and winter flooding of white rice fields were specific practices that increased MeHg export, both presumably related to increased labile organic carbon and disturbance. Outflow management during these times could reduce MeHg exports. Standardizing MeHg outflow:inflow concentration ratios against natural tracers (e.g. chloride, EC) provides a simple tool to identify NEP periods. Summer MeHg exports averaged 0.2 to 1 μg m− 2 for the different agricultural wetland fields, depending upon flood duration. Average winter MeHg exports were estimated at 0.3 μg m− 2. These exports are within the range reported for other shallow aquatic systems.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2013.11.086","usgsCitation":"Bachand, P., Bachand, S., Fleck, J., Alpers, C.N., Stephenson, M., and Windham-Myers, L., 2014, Methylmercury production in and export from agricultural wetlands in California, USA: the need to account for physical transport processes into and out of the root zone: Science of the Total Environment, v. 472, p. 957-970, https://doi.org/10.1016/j.scitotenv.2013.11.086.","productDescription":"14 p.","startPage":"957","endPage":"970","numberOfPages":"14","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-036820","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":297385,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Yolo Bypass Wildlife Area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.70242309570312,\n 38.42347008084994\n ],\n [\n -121.70242309570312,\n 38.59326051987162\n ],\n [\n -121.57196044921875,\n 38.59326051987162\n ],\n [\n -121.57196044921875,\n 38.42347008084994\n ],\n [\n -121.70242309570312,\n 38.42347008084994\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"472","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2bfbe4b08de9379b35c3","contributors":{"authors":[{"text":"Bachand, Philip","contributorId":81013,"corporation":false,"usgs":false,"family":"Bachand","given":"Philip","email":"","affiliations":[{"id":12526,"text":"Bachand & Associates","active":true,"usgs":false}],"preferred":false,"id":538761,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bachand, Sandra M.","contributorId":45542,"corporation":false,"usgs":false,"family":"Bachand","given":"Sandra M.","affiliations":[{"id":12526,"text":"Bachand & Associates","active":true,"usgs":false}],"preferred":false,"id":538762,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fleck, Jacob A. 0000-0002-3217-3972 jafleck@usgs.gov","orcid":"https://orcid.org/0000-0002-3217-3972","contributorId":1498,"corporation":false,"usgs":true,"family":"Fleck","given":"Jacob A.","email":"jafleck@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":538759,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Alpers, Charles N. 0000-0001-6945-7365 cnalpers@usgs.gov","orcid":"https://orcid.org/0000-0001-6945-7365","contributorId":411,"corporation":false,"usgs":true,"family":"Alpers","given":"Charles","email":"cnalpers@usgs.gov","middleInitial":"N.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":538758,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stephenson, Mark","contributorId":56951,"corporation":false,"usgs":false,"family":"Stephenson","given":"Mark","email":"","affiliations":[],"preferred":false,"id":538763,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Windham-Myers, Lisamarie 0000-0003-0281-9581 lwindham-myers@usgs.gov","orcid":"https://orcid.org/0000-0003-0281-9581","contributorId":2449,"corporation":false,"usgs":true,"family":"Windham-Myers","given":"Lisamarie","email":"lwindham-myers@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"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":538760,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70143527,"text":"70143527 - 2014 - Synthesis of nearshore recovery following the 1989 Exxon Valdez oil spill: sea otter liver pathology and survival in Western Prince William Sound, 2001 – 2008","interactions":[],"lastModifiedDate":"2018-06-19T19:36:14","indexId":"70143527","displayToPublicDate":"2014-02-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Synthesis of nearshore recovery following the 1989 Exxon Valdez oil spill: sea otter liver pathology and survival in Western Prince William Sound, 2001 – 2008","docAbstract":"We examined livers and liver biopsies collected from captured sea otters in WPWS, 2001–2008, to determine whether indicators of liver health correlated with history of oil contamination from the 1989 Exxon Valdez oil spill. Sea otters captured in oiled areas had a significantly higher proportion of livers with gross pathological change, based on visual inspection at the time of capture, than those from unoiled areas. Of the 10 histopathology variables scored on liver biopsies, only two (vacuolar change and pigment) differed between animals from oiled and unoiled areas, and neither correlated with gross pathology scores. Vacuolar change indicates physiological disturbance, which is consistent with potential effects from oil exposure but also could be influenced by a number of other factors. We concluded that, as of 2008, some differences in liver health were evident between sea otters from oiled and unoiled areas; these differences were consistent with, but not specific to, effects that might be expected with sublethal exposure to lingering Exxon Valdez oil. We also quantified variation in survival of radiomarked sea otters within oiled areas of WPWS in relation to age, sex, body condition, selected blood serum chemistry variables, and histological scores indicative of liver health. Of the variables considered, only the serum enzyme aspartate aminotransferase (AST) and the ratio of serum proteins albumin and globulin (A/G) were correlated with survival, with higher levels of AST and lower levels of A/G associated with increased likelihood of mortality. High AST and low A/G both may be indicative of liver disease. Taken together, results reported here suggest that liver health of sea otters in oiled areas was slightly poorer than those from unoiled areas and, ifurther, that this may have translated to poorer survival through 2008, nearly 2 decades after the spill. More recently collected information indicated that mortality patterns and abundance had returned to pre-spill conditions between 2010 and 2013, suggesting that the effects that we detected through 2008 may have represented the end of effects related to exposure to lingering oil.
","language":"English","usgsCitation":"Ballachey, B.E., Monson, D., Kloecker, K.A., Esslinger, G.G., Mohr, F., Lipscomb, T., Murray, M., and Howlin, S., 2014, Synthesis of nearshore recovery following the 1989 Exxon Valdez oil spill: sea otter liver pathology and survival in Western Prince William Sound, 2001 – 2008, iii, 35 p.","productDescription":"iii, 35 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054893","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":328472,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":298758,"type":{"id":15,"text":"Index Page"},"url":"https://evostc.state.ak.us/Store/FinalReports/2007-070808-Final.pdf"}],"country":"United States","state":"Alaska","otherGeospatial":"Western Prince William Sound ","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -147.73315429687497,\n 61.23324473797831\n ],\n [\n -146.9091796875,\n 60.973107109199404\n ],\n [\n -146.6015625,\n 60.223447204398866\n ],\n [\n -148.38134765625,\n 59.933000423746336\n ],\n [\n -148.69995117187497,\n 60.559979041457176\n ],\n [\n -148.60107421875,\n 60.91441435497479\n ],\n [\n -147.843017578125,\n 61.24910209024154\n ],\n [\n -147.73315429687497,\n 61.23324473797831\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57d3dd3de4b0571647d19ad4","contributors":{"authors":[{"text":"Ballachey, Brenda E. 0000-0003-1855-9171 bballachey@usgs.gov","orcid":"https://orcid.org/0000-0003-1855-9171","contributorId":2966,"corporation":false,"usgs":true,"family":"Ballachey","given":"Brenda","email":"bballachey@usgs.gov","middleInitial":"E.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":542770,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Monson, Daniel H. 0000-0002-4593-5673 dmonson@usgs.gov","orcid":"https://orcid.org/0000-0002-4593-5673","contributorId":140480,"corporation":false,"usgs":true,"family":"Monson","given":"Daniel H.","email":"dmonson@usgs.gov","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":false,"id":648536,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kloecker, Kimberly A. 0000-0002-2461-968X kkloecker@usgs.gov","orcid":"https://orcid.org/0000-0002-2461-968X","contributorId":3442,"corporation":false,"usgs":true,"family":"Kloecker","given":"Kimberly","email":"kkloecker@usgs.gov","middleInitial":"A.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":648537,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Esslinger, George G. 0000-0002-3459-0083 gesslinger@usgs.gov","orcid":"https://orcid.org/0000-0002-3459-0083","contributorId":131009,"corporation":false,"usgs":true,"family":"Esslinger","given":"George","email":"gesslinger@usgs.gov","middleInitial":"G.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":648538,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mohr, F.C.","contributorId":174539,"corporation":false,"usgs":false,"family":"Mohr","given":"F.C.","email":"","affiliations":[],"preferred":false,"id":648539,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lipscomb, T.P.","contributorId":174540,"corporation":false,"usgs":false,"family":"Lipscomb","given":"T.P.","email":"","affiliations":[],"preferred":false,"id":648540,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Murray, M.J.","contributorId":30421,"corporation":false,"usgs":true,"family":"Murray","given":"M.J.","email":"","affiliations":[],"preferred":false,"id":648541,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Howlin, S.","contributorId":94624,"corporation":false,"usgs":true,"family":"Howlin","given":"S.","affiliations":[],"preferred":false,"id":648542,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70144299,"text":"70144299 - 2014 - Quantifying the predictive consequences of model error with linear subspace analysis","interactions":[],"lastModifiedDate":"2015-03-27T10:38:04","indexId":"70144299","displayToPublicDate":"2014-02-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying the predictive consequences of model error with linear subspace analysis","docAbstract":"All computer models are simplified and imperfect simulators of complex natural systems. The discrepancy arising from simplification induces bias in model predictions, which may be amplified by the process of model calibration. This paper presents a new method to identify and quantify the predictive consequences of calibrating a simplified computer model. The method is based on linear theory, and it scales efficiently to the large numbers of parameters and observations characteristic of groundwater and petroleum reservoir models. The method is applied to a range of predictions made with a synthetic integrated surface-water/groundwater model with thousands of parameters. Several different observation processing strategies and parameterization/regularization approaches are examined in detail, including use of the Karhunen-Loève parameter transformation. Predictive bias arising from model error is shown to be prediction specific and often invisible to the modeler. The amount of calibration-induced bias is influenced by several factors, including how expert knowledge is applied in the design of parameterization schemes, the number of parameters adjusted during calibration, how observations and model-generated counterparts are processed, and the level of fit with observations achieved through calibration. Failure to properly implement any of these factors in a prediction-specific manner may increase the potential for predictive bias in ways that are not visible to the calibration and uncertainty analysis process.
","language":"English","publisher":"Wiley","doi":"10.1002/2013WR014767","usgsCitation":"White, J., Doherty, J.E., and Hughes, J.D., 2014, Quantifying the predictive consequences of model error with linear subspace analysis: Water Resources Research, v. 50, no. 2, p. 1152-1173, https://doi.org/10.1002/2013WR014767.","productDescription":"22 p.","startPage":"1152","endPage":"1173","numberOfPages":"22","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051515","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":473198,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2013wr014767","text":"Publisher Index Page"},{"id":299024,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"50","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2014-02-14","publicationStatus":"PW","scienceBaseUri":"55167f36e4b0323842781b0e","contributors":{"authors":[{"text":"White, Jeremy T. jwhite@usgs.gov","contributorId":3930,"corporation":false,"usgs":true,"family":"White","given":"Jeremy T.","email":"jwhite@usgs.gov","affiliations":[{"id":270,"text":"FLWSC-Tampa","active":true,"usgs":true}],"preferred":false,"id":543460,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Doherty, John E.","contributorId":8817,"corporation":false,"usgs":false,"family":"Doherty","given":"John","email":"","middleInitial":"E.","affiliations":[{"id":7046,"text":"Watermark Numerical Computing","active":true,"usgs":false}],"preferred":false,"id":543461,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hughes, Joseph D. 0000-0003-1311-2354 jdhughes@usgs.gov","orcid":"https://orcid.org/0000-0003-1311-2354","contributorId":2492,"corporation":false,"usgs":true,"family":"Hughes","given":"Joseph","email":"jdhughes@usgs.gov","middleInitial":"D.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":543462,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70157106,"text":"70157106 - 2014 - Wildlife connectivity approaches and best practices in U.S. state wildlife action plans","interactions":[],"lastModifiedDate":"2015-09-08T16:22:22","indexId":"70157106","displayToPublicDate":"2014-02-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1321,"text":"Conservation Biology","active":true,"publicationSubtype":{"id":10}},"title":"Wildlife connectivity approaches and best practices in U.S. state wildlife action plans","docAbstract":"As habitat loss and fragmentation threaten biodiversity on large geographic scales, creating and maintaining connectivity of wildlife populations is an increasingly common conservation objective. To assess the progress and success of large-scale connectivity planning, conservation researchers need a set of plans that cover large geographic areas and can be analyzed as a single data set. The state wildlife action plans (SWAPs) fulfill these requirements. We examined 50 SWAPs to determine the extent to which wildlife connectivity planning, via linkages, is emphasized nationally. We defined linkage as connective land that enables wildlife movement. For our content analysis, we identified and quantified 6 keywords and 7 content criteria that ranged in specificity and were related to linkages for wide-ranging terrestrial vertebrates and examined relations between content criteria and statewide data on focal wide-ranging species, spending, revenue, and conserved land. Our results reflect nationwide disparities in linkage conservation priorities and highlight the continued need for wildlife linkage planning. Only 30% or less of the 50 SWAPs fulfilled highly specific content criteria (e.g., identifying geographic areas for linkage placement or management). We found positive correlations between our content criteria and statewide data on percent conserved land, total focal species, and spending on parks and recreation. We supplemented our content analysis with interviews with 17 conservation professionals to gain specific information about state-specific context and future directions of linkage conservation. Based on our results, relevant literature, and interview responses, we suggest the following best practices for wildlife linkage conservation plans: collect ecologically meaningful background data; be specific; establish community-wide partnerships; and incorporate sociopolitical and socioeconomic information.
","language":"English","publisher":"Wiley","doi":"10.1111/cobi.12204","usgsCitation":"Lacher, I., and Wilkerson, M.L., 2014, Wildlife connectivity approaches and best practices in U.S. state wildlife action plans: Conservation Biology, v. 28, no. 1, p. 13-21, https://doi.org/10.1111/cobi.12204.","productDescription":"9 p.","startPage":"13","endPage":"21","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":307960,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"28","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-12-26","publicationStatus":"PW","scienceBaseUri":"55f006b0e4b0dacf699ea00e","contributors":{"authors":[{"text":"Lacher, Iara","contributorId":147432,"corporation":false,"usgs":false,"family":"Lacher","given":"Iara","email":"","affiliations":[],"preferred":false,"id":571668,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilkerson, Marit L.","contributorId":147433,"corporation":false,"usgs":false,"family":"Wilkerson","given":"Marit","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":571669,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70148692,"text":"70148692 - 2014 - Temporal variation in development of ecosystem services from oyster reef restoration","interactions":[],"lastModifiedDate":"2015-07-01T14:15:19","indexId":"70148692","displayToPublicDate":"2014-02-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1454,"text":"Ecological Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Temporal variation in development of ecosystem services from oyster reef restoration","docAbstract":"Restoration ecology relies heavily on ecosystem development theories that generally assume development of fully functioning natural systems over time, but often fail to identify the time-frame required for provision of desired functions, or acknowledge different pathways of functional development. In estuaries, a decline of overall habitat quality and functioning has led to significant efforts to restore critical ecosystem services, recently through the creation and restoration of oyster reefs. Oyster reef restoration generally occurs with goals of (1) increasing water quality via filtration through sustainable oyster recruitment, (2) stabilizing shorelines, and (3) creating and enhancing critical estuarine habitat for fish and invertebrates. We restored over 260 m2 of oyster reef habitat in coastal Louisiana and followed the development and provision of these ecosystem services from 2009 through 2012. Oysters recruited to reefs immediately, with densities of oysters greater than 75 mm exceeding 80 ind m−2 after 3 years, and provision of filtration rates of 1002 ± 187 L h−1 m−2; shoreline stabilization effects of the created reefs were minimal over the three years of monitoring, with some evidence of positive shoreline stabilization during higher wind/energy events only; increased nekton abundance of resident, but not larger transient fish was immediately measurable at the reefs, however, this failed to increase through time. Our results provide critical insights into the development trajectories of ecosystem services provided by restored oyster reefs, as well as the mechanisms mediating these changes. This is critical both ecologically to understand how and where a reef thrives, and for policy and management to guide decision-making related to oyster reef restoration and the crediting and accounting of ecosystem services.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecoleng.2013.12.001","usgsCitation":"LaPeyre, M.K., Humphries, A.T., Casas, S.M., and La Peyre, J.F., 2014, Temporal variation in development of ecosystem services from oyster reef restoration: Ecological Engineering, v. 63, p. 34-44, https://doi.org/10.1016/j.ecoleng.2013.12.001.","productDescription":"11 p.","startPage":"34","endPage":"44","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-045902","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":305548,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","county":"Terrebonne Parish","otherGeospatial":"Caillou Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -90.966796875,\n 29.200123477644983\n ],\n [\n -90.966796875,\n 29.269029832984536\n ],\n [\n -90.87203979492188,\n 29.269029832984536\n ],\n [\n -90.87203979492188,\n 29.200123477644983\n ],\n [\n -90.966796875,\n 29.200123477644983\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"63","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55950f38e4b0b6d21dd6cc07","contributors":{"authors":[{"text":"LaPeyre, Megan K. 0000-0001-9936-2252 mlapeyre@usgs.gov","orcid":"https://orcid.org/0000-0001-9936-2252","contributorId":585,"corporation":false,"usgs":true,"family":"LaPeyre","given":"Megan","email":"mlapeyre@usgs.gov","middleInitial":"K.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":549059,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Humphries, Austin T.","contributorId":15943,"corporation":false,"usgs":true,"family":"Humphries","given":"Austin","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":564073,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Casas, Sandra M.","contributorId":145452,"corporation":false,"usgs":false,"family":"Casas","given":"Sandra","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":564074,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"La Peyre, Jerome F.","contributorId":34697,"corporation":false,"usgs":true,"family":"La Peyre","given":"Jerome","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":564075,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70187385,"text":"70187385 - 2014 - Disease and predation: Sorting out causes of a bighorn sheep (Ovis canadensis) decline","interactions":[],"lastModifiedDate":"2017-05-01T12:43:40","indexId":"70187385","displayToPublicDate":"2014-02-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Disease and predation: Sorting out causes of a bighorn sheep (Ovis canadensis) decline","docAbstract":"Estimating survival and documenting causes and timing of mortality events in neonate bighorn sheep (Ovis canadensis) improves understanding of population ecology and factors influencing recruitment. During 2010–2012, we captured and radiocollared 74 neonates in the Black Hills, South Dakota, of which 95% (70) died before 52 weeks of age. Pneumonia (36%) was the leading cause of mortality followed by predation (30%). We used known fate analysis in Program MARK to estimate weekly survival rates and investigate the influence of intrinsic variables on 52-week survival. Model {S1 wk, 2–8 wks, >8 wks} had the lowest AICc (Akaike’s Information Criterion corrected for small sample size) value, indicating that age (3-stage age-interval: 1 week, 2–8 weeks, and >8 weeks) best explained survival. Weekly survival estimates for 1 week, 2–8 weeks, and >8 weeks were 0.81 (95% CI = 0.70–0.88), 0.86 (95% CI = 0.81–0.90), and 0.94 (95% CI = 0.91–0.96), respectively. Overall probability of surviving 52 weeks was 0.02 (95% CI = 0.01–0.07). Of 70 documented mortalities, 21% occurred during the first week, 55% during weeks 2–8, and 23% occurred >8 weeks of age. We found pneumonia and predation were temporally heterogeneous with lambs most susceptible to predation during the first 2–3 weeks of life, while the greatest risk from pneumonia occurred from weeks 4–8. Our results indicated pneumonia was the major factor limiting recruitment followed by predation. Mortality from predation may have been partly compensatory to pneumonia and its effects were less pronounced as alternative prey became available. Given the high rates of pneumonia-caused mortality we observed, and the apparent lack of pneumonia-causing pathogens in bighorn populations in the western Black Hills, management activities should be geared towards eliminating contact between diseased and healthy populations.
","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0088271","usgsCitation":"Smith, J.B., Jenks, J., Grovenburg, T.W., and Klaver, R.W., 2014, Disease and predation: Sorting out causes of a bighorn sheep (Ovis canadensis) decline: PLoS ONE, v. 9, no. 2, p. 1-9, https://doi.org/10.1371/journal.pone.0088271.","productDescription":"e88271; 9 p.","startPage":"1","endPage":"9","ipdsId":"IP-051866","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":473197,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0088271","text":"Publisher Index Page"},{"id":340672,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Dakota","otherGeospatial":"Black Hills","volume":"9","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2014-02-07","publicationStatus":"PW","scienceBaseUri":"59084933e4b0fc4e448ffd86","contributors":{"authors":[{"text":"Smith, Joshua B.","contributorId":71883,"corporation":false,"usgs":true,"family":"Smith","given":"Joshua","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":693754,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jenks, Jonathan A.","contributorId":51591,"corporation":false,"usgs":true,"family":"Jenks","given":"Jonathan A.","affiliations":[],"preferred":false,"id":693755,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grovenburg, Troy W.","contributorId":57712,"corporation":false,"usgs":true,"family":"Grovenburg","given":"Troy","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":693756,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Klaver, Robert W. 0000-0002-3263-9701 bklaver@usgs.gov","orcid":"https://orcid.org/0000-0002-3263-9701","contributorId":3285,"corporation":false,"usgs":true,"family":"Klaver","given":"Robert","email":"bklaver@usgs.gov","middleInitial":"W.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":693722,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70189780,"text":"70189780 - 2014 - Maximum magnitude earthquakes induced by fluid injection","interactions":[],"lastModifiedDate":"2017-07-26T11:07:34","indexId":"70189780","displayToPublicDate":"2014-02-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Maximum magnitude earthquakes induced by fluid injection","docAbstract":"Analysis of numerous case histories of earthquake sequences induced by fluid injection at depth reveals that the maximum magnitude appears to be limited according to the total volume of fluid injected. Similarly, the maximum seismic moment seems to have an upper bound proportional to the total volume of injected fluid. Activities involving fluid injection include (1) hydraulic fracturing of shale formations or coal seams to extract gas and oil, (2) disposal of wastewater from these gas and oil activities by injection into deep aquifers, and (3) the development of enhanced geothermal systems by injecting water into hot, low-permeability rock. Of these three operations, wastewater disposal is observed to be associated with the largest earthquakes, with maximum magnitudes sometimes exceeding 5. To estimate the maximum earthquake that could be induced by a given fluid injection project, the rock mass is assumed to be fully saturated, brittle, to respond to injection with a sequence of earthquakes localized to the region weakened by the pore pressure increase of the injection operation and to have a Gutenberg-Richter magnitude distribution with a b value of 1. If these assumptions correctly describe the circumstances of the largest earthquake, then the maximum seismic moment is limited to the volume of injected liquid times the modulus of rigidity. Observations from the available case histories of earthquakes induced by fluid injection are consistent with this bound on seismic moment. In view of the uncertainties in this analysis, however, this should not be regarded as an absolute physical limit.
","language":"English","publisher":"AGU","doi":"10.1002/2013JB010597","usgsCitation":"McGarr, A.F., 2014, Maximum magnitude earthquakes induced by fluid injection: Journal of Geophysical Research B: Solid Earth, v. 119, no. 2, p. 1008-1019, https://doi.org/10.1002/2013JB010597.","productDescription":"12 p.","startPage":"1008","endPage":"1019","ipdsId":"IP-053945","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":473196,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2013jb010597","text":"Publisher Index Page"},{"id":344323,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"119","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2014-02-04","publicationStatus":"PW","scienceBaseUri":"5979aa57e4b0ec1a488b8c37","contributors":{"authors":[{"text":"McGarr, Arthur F. 0000-0001-9769-4093 mcgarr@usgs.gov","orcid":"https://orcid.org/0000-0001-9769-4093","contributorId":3178,"corporation":false,"usgs":true,"family":"McGarr","given":"Arthur","email":"mcgarr@usgs.gov","middleInitial":"F.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":706324,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70187416,"text":"70187416 - 2014 - Cross-scale interactions: Quantifying multi-scaled cause–effect relationships in macrosystems","interactions":[],"lastModifiedDate":"2018-04-02T16:36:42","indexId":"70187416","displayToPublicDate":"2014-02-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1701,"text":"Frontiers in Ecology and the Environment","active":true,"publicationSubtype":{"id":10}},"title":"Cross-scale interactions: Quantifying multi-scaled cause–effect relationships in macrosystems","docAbstract":"Ecologists are increasingly discovering that ecological processes are made up of components that are multi-scaled in space and time. Some of the most complex of these processes are cross-scale interactions (CSIs), which occur when components interact across scales. When undetected, such interactions may cause errors in extrapolation from one region to another. CSIs, particularly those that include a regional scaled component, have not been systematically investigated or even reported because of the challenges of acquiring data at sufficiently broad spatial extents. We present an approach for quantifying CSIs and apply it to a case study investigating one such interaction, between local and regional scaled land-use drivers of lake phosphorus. Ultimately, our approach for investigating CSIs can serve as a basis for efforts to understand a wide variety of multi-scaled problems such as climate change, land-use/land-cover change, and invasive species.
","language":"English","publisher":"Ecological Society of America","doi":"10.1890/120366","usgsCitation":"Soranno, P.A., Cheruvelil, K.S., Bissell, E.G., Bremigan, M.T., Downing, J., Fergus, C.E., Filstrup, C.T., Henry, E.N., Lottig, N.R., Stanley, E.H., Stow, C., Tan, P., Wagner, T., and Webster, K.E., 2014, Cross-scale interactions: Quantifying multi-scaled cause–effect relationships in macrosystems: Frontiers in Ecology and the Environment, v. 12, no. 1, p. 65-73, https://doi.org/10.1890/120366.","productDescription":"9 p.","startPage":"65","endPage":"73","ipdsId":"IP-041581","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":473194,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/120366","text":"Publisher Index Page"},{"id":340744,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59099ab0e4b0fc4e4491580c","contributors":{"authors":[{"text":"Soranno, Patricia A.","contributorId":172104,"corporation":false,"usgs":false,"family":"Soranno","given":"Patricia","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":693963,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cheruvelil, Kendra S.","contributorId":172029,"corporation":false,"usgs":false,"family":"Cheruvelil","given":"Kendra","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":693964,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bissell, Edward G.","contributorId":191718,"corporation":false,"usgs":false,"family":"Bissell","given":"Edward","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":693965,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bremigan, Mary T.","contributorId":172105,"corporation":false,"usgs":false,"family":"Bremigan","given":"Mary","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":693966,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Downing, John A.","contributorId":70348,"corporation":false,"usgs":true,"family":"Downing","given":"John A.","affiliations":[],"preferred":false,"id":693967,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fergus, Carol E.","contributorId":191719,"corporation":false,"usgs":false,"family":"Fergus","given":"Carol","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":693968,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Filstrup, Christopher T.","contributorId":169032,"corporation":false,"usgs":false,"family":"Filstrup","given":"Christopher","email":"","middleInitial":"T.","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":693969,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Henry, Emily N.","contributorId":172189,"corporation":false,"usgs":false,"family":"Henry","given":"Emily","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":693970,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lottig, Noah R.","contributorId":172031,"corporation":false,"usgs":false,"family":"Lottig","given":"Noah","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":693971,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Stanley, Emily H.","contributorId":55725,"corporation":false,"usgs":false,"family":"Stanley","given":"Emily","email":"","middleInitial":"H.","affiliations":[{"id":12951,"text":"Center for Limnology, University of Wisconsin Madison","active":true,"usgs":false}],"preferred":false,"id":693972,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Stow, Craig A.","contributorId":49733,"corporation":false,"usgs":true,"family":"Stow","given":"Craig A.","affiliations":[],"preferred":false,"id":693973,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Tan, Pang-Ning","contributorId":172193,"corporation":false,"usgs":false,"family":"Tan","given":"Pang-Ning","affiliations":[],"preferred":false,"id":693974,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Wagner, Tyler 0000-0003-1726-016X twagner@usgs.gov","orcid":"https://orcid.org/0000-0003-1726-016X","contributorId":1050,"corporation":false,"usgs":true,"family":"Wagner","given":"Tyler","email":"twagner@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":693975,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Webster, Katherine E.","contributorId":147903,"corporation":false,"usgs":false,"family":"Webster","given":"Katherine","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":693976,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70189679,"text":"70189679 - 2014 - Evaluation of wastewater contaminant transport in surface waters using verified Lagrangian sampling","interactions":[],"lastModifiedDate":"2018-09-18T16:50:42","indexId":"70189679","displayToPublicDate":"2014-02-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of wastewater contaminant transport in surface waters using verified Lagrangian sampling","docAbstract":"Contaminants released from wastewater treatment plants can persist in surface waters for substantial distances. Much research has gone into evaluating the fate and transport of these contaminants, but this work has often assumed constant flow from wastewater treatment plants. However, effluent discharge commonly varies widely over a 24-hour period, and this variation controls contaminant loading and can profoundly influence interpretations of environmental data. We show that methodologies relying on the normalization of downstream data to conservative elements can give spurious results, and should not be used unless it can be verified that the same parcel of water was sampled. Lagrangian sampling, which in theory samples the same water parcel as it moves downstream (the Lagrangian parcel), links hydrologic and chemical transformation processes so that the in-stream fate of wastewater contaminants can be quantitatively evaluated. However, precise Lagrangian sampling is difficult, and small deviations – such as missing the Lagrangian parcel by less than 1 h – can cause large differences in measured concentrations of all dissolved compounds at downstream sites, leading to erroneous conclusions regarding in-stream processes controlling the fate and transport of wastewater contaminants. Therefore, we have developed a method termed “verified Lagrangian” sampling, which can be used to determine if the Lagrangian parcel was actually sampled, and if it was not, a means for correcting the data to reflect the concentrations which would have been obtained had the Lagrangian parcel been sampled. To apply the method, it is necessary to have concentration data for a number of conservative constituents from the upstream, effluent, and downstream sites, along with upstream and effluent concentrations that are constant over the short-term (typically 2–4 h). These corrections can subsequently be applied to all data, including non-conservative constituents. Finally, we show how data from other studies can be corrected.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2013.09.079","usgsCitation":"Antweiler, R.C., Writer, J.H., and Murphy, S.F., 2014, Evaluation of wastewater contaminant transport in surface waters using verified Lagrangian sampling: Science of the Total Environment, v. 470-471, p. 551-558, https://doi.org/10.1016/j.scitotenv.2013.09.079.","productDescription":"8 p.","startPage":"551","endPage":"558","ipdsId":"IP-042105","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":344087,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"470-471","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59706fbce4b0d1f9f065a8fd","contributors":{"authors":[{"text":"Antweiler, Ronald C. 0000-0001-5652-6034 antweil@usgs.gov","orcid":"https://orcid.org/0000-0001-5652-6034","contributorId":1481,"corporation":false,"usgs":true,"family":"Antweiler","given":"Ronald","email":"antweil@usgs.gov","middleInitial":"C.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":705757,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Writer, Jeffrey H. jwriter@usgs.gov","contributorId":1393,"corporation":false,"usgs":true,"family":"Writer","given":"Jeffrey","email":"jwriter@usgs.gov","middleInitial":"H.","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":705758,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Murphy, Sheila F. 0000-0002-5481-3635 sfmurphy@usgs.gov","orcid":"https://orcid.org/0000-0002-5481-3635","contributorId":1854,"corporation":false,"usgs":true,"family":"Murphy","given":"Sheila","email":"sfmurphy@usgs.gov","middleInitial":"F.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":705759,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70173459,"text":"70173459 - 2014 - Approaches for advancing scientific understanding of macrosystems","interactions":[],"lastModifiedDate":"2016-06-16T15:23:41","indexId":"70173459","displayToPublicDate":"2014-02-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1701,"text":"Frontiers in Ecology and the Environment","active":true,"publicationSubtype":{"id":10}},"title":"Approaches for advancing scientific understanding of macrosystems","docAbstract":"The emergence of macrosystems ecology (MSE), which focuses on regional- to continental-scale ecological patterns and processes, builds upon a history of long-term and broad-scale studies in ecology. Scientists face the difficulty of integrating the many elements that make up macrosystems, which consist of hierarchical processes at interacting spatial and temporal scales. Researchers must also identify the most relevant scales and variables to be considered, the required data resources, and the appropriate study design to provide the proper inferences. The large volumes of multi-thematic data often associated with macrosystem studies typically require validation, standardization, and assimilation. Finally, analytical approaches need to describe how cross-scale and hierarchical dynamics and interactions relate to macroscale phenomena. Here, we elaborate on some key methodological challenges of MSE research and discuss existing and novel approaches to meet them.
","language":"English","publisher":"Ecological Society of America","doi":"10.1890/130019","usgsCitation":"Levy, O., Ball, B.A., Bond-Lamberty, B., Cheruvelil, K.S., Finley, A., Lottig, N.R., Punyasena, S.W., Xiao, J., Zhou, J., Buckley, L.B., Filstrup, C.T., Keitt, T.H., Kellner, J.R., Knapp, A., Richardson, A., Tcheng, D., Toomey, M., Vargas, R., Voordeckers, J.W., Wagner, T., and Williams, J.W., 2014, Approaches for advancing scientific understanding of macrosystems: Frontiers in Ecology and the Environment, v. 12, no. 1, p. 15-23, https://doi.org/10.1890/130019.","productDescription":"9 p.","startPage":"15","endPage":"23","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-041580","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":473192,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/130019","text":"Publisher Index 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MD","active":true,"usgs":false},{"id":13566,"text":"Joint Global Change Research Institute, Pacific Northwest National Laboratory","active":true,"usgs":false}],"preferred":false,"id":639380,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cheruvelil, Kendra S.","contributorId":172029,"corporation":false,"usgs":false,"family":"Cheruvelil","given":"Kendra","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":639381,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Finley, Andrew O.","contributorId":70666,"corporation":false,"usgs":true,"family":"Finley","given":"Andrew O.","affiliations":[],"preferred":false,"id":639382,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lottig, Noah R.","contributorId":172031,"corporation":false,"usgs":false,"family":"Lottig","given":"Noah","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":639383,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Punyasena, Surangi W.","contributorId":149853,"corporation":false,"usgs":false,"family":"Punyasena","given":"Surangi","email":"","middleInitial":"W.","affiliations":[{"id":17842,"text":"University of Wyoming, Laramie","active":true,"usgs":false}],"preferred":false,"id":639384,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Xiao, Jingfeng","contributorId":66998,"corporation":false,"usgs":true,"family":"Xiao","given":"Jingfeng","email":"","affiliations":[],"preferred":false,"id":639385,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Zhou, Jizhong","contributorId":26594,"corporation":false,"usgs":true,"family":"Zhou","given":"Jizhong","email":"","affiliations":[],"preferred":false,"id":639386,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Buckley, Lauren 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Collins, CO","active":true,"usgs":false}],"preferred":false,"id":639391,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Richardson, Andrew D.","contributorId":105199,"corporation":false,"usgs":true,"family":"Richardson","given":"Andrew D.","affiliations":[],"preferred":false,"id":639392,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Tcheng, David","contributorId":172035,"corporation":false,"usgs":false,"family":"Tcheng","given":"David","email":"","affiliations":[],"preferred":false,"id":639393,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Toomey, Michael","contributorId":81788,"corporation":false,"usgs":true,"family":"Toomey","given":"Michael","affiliations":[],"preferred":false,"id":639394,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Vargas, Rodrigo","contributorId":172036,"corporation":false,"usgs":false,"family":"Vargas","given":"Rodrigo","affiliations":[],"preferred":false,"id":639395,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Voordeckers, James W.","contributorId":172037,"corporation":false,"usgs":false,"family":"Voordeckers","given":"James","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":639396,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Wagner, Tyler 0000-0003-1726-016X twagner@usgs.gov","orcid":"https://orcid.org/0000-0003-1726-016X","contributorId":1050,"corporation":false,"usgs":true,"family":"Wagner","given":"Tyler","email":"twagner@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":637153,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Williams, John W.","contributorId":16761,"corporation":false,"usgs":true,"family":"Williams","given":"John","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":639397,"contributorType":{"id":1,"text":"Authors"},"rank":21}]}}
,{"id":70176295,"text":"70176295 - 2014 - Effects of woody vegetation on overbank sand transport during a large flood, Rio Puerco, New Mexico","interactions":[],"lastModifiedDate":"2017-02-08T14:08:09","indexId":"70176295","displayToPublicDate":"2014-02-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"Effects of woody vegetation on overbank sand transport during a large flood, Rio Puerco, New Mexico","docAbstract":"Distributions of woody vegetation on floodplain surfaces affect flood-flow erosion and deposition processes. A large flood along the lower Rio Puerco, New Mexico, in August 2006 caused extensive erosion in a reach that had been sprayed with herbicide in September 2003 for the purpose of saltcedar (Tamarix spp.) control. Large volumes of sediment, including a substantial fraction of sand, were delivered to the reach downstream, which had not been treated with herbicide. We applied physically based, one-dimensional models of flow and suspended-sediment transport to compute volume concentrations of sand in suspension in floodplain flow at a site within the sprayed reach and at a site downstream from the sprayed reach. We computed the effects of drag on woody stems in reducing the skin friction shear stress, velocity of flow, and suspended-sand transport from open paths into patches of dense stems. Total flow and suspended-sand fluxes were computed for each site using well-constrained flood-flow depths, water-surface slopes, and measured shrub characteristics. Results show that flow in open paths carried high concentrations of sand in suspension with nearly uniform vertical distributions. Drag on woody floodplain stems reduced skin friction shear stresses by two orders of magnitude, yet sufficient velocities were maintained to transport sand more than 50 m into fields of dense, free-surface-penetrating stems. An increase in shrub canopy extent from 31% in the sprayed reach site to 49% in the downstream site was found to account for 69% of the computed decrease in discharge between the two sites. The results demonstrate the need to compute the spatial distribution of skin friction shear stress in order to effectively compute suspended-sand transport and to predict the fate of sediment and contaminants carried in suspension during large floods.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.geomorph.2013.10.025","usgsCitation":"Griffin, E.R., Perignon, M.C., Friedman, J.M., and Tucker, G., 2014, Effects of woody vegetation on overbank sand transport during a large flood, Rio Puerco, New Mexico: Geomorphology, v. 207, p. 30-50, https://doi.org/10.1016/j.geomorph.2013.10.025.","productDescription":"21 p.","startPage":"30","endPage":"50","ipdsId":"IP-044985","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":328337,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":335013,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F72N50CM","text":"Lower Rio Puerco geospatial data, 1935 - 2014"}],"country":"United States","state":"New Mexico","otherGeospatial":"Rio Puerco","volume":"207","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57d13a3ae4b0571647cf8dcd","contributors":{"authors":[{"text":"Griffin, Eleanor R. 0000-0001-6724-9853 egriffin@usgs.gov","orcid":"https://orcid.org/0000-0001-6724-9853","contributorId":1775,"corporation":false,"usgs":true,"family":"Griffin","given":"Eleanor","email":"egriffin@usgs.gov","middleInitial":"R.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":648241,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Perignon, Mariela C.","contributorId":174409,"corporation":false,"usgs":false,"family":"Perignon","given":"Mariela","email":"","middleInitial":"C.","affiliations":[{"id":27450,"text":"CIRES, UC Boulder","active":true,"usgs":false}],"preferred":false,"id":648290,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Friedman, Jonathan M. 0000-0002-1329-0663 friedmanj@usgs.gov","orcid":"https://orcid.org/0000-0002-1329-0663","contributorId":2473,"corporation":false,"usgs":true,"family":"Friedman","given":"Jonathan","email":"friedmanj@usgs.gov","middleInitial":"M.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":648242,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tucker, Gregory E.","contributorId":39280,"corporation":false,"usgs":true,"family":"Tucker","given":"Gregory E.","affiliations":[],"preferred":false,"id":648244,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70173736,"text":"70173736 - 2014 - Effect of passive acoustic sampling methodology on detecting bats after declines from white nose syndrome","interactions":[],"lastModifiedDate":"2016-06-20T11:18:05","indexId":"70173736","displayToPublicDate":"2014-02-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5085,"text":"Journal of Ecology and the Natural Environment","active":true,"publicationSubtype":{"id":10}},"title":"Effect of passive acoustic sampling methodology on detecting bats after declines from white nose syndrome","docAbstract":"Concomitant with the emergence and spread of white-nose syndrome (WNS) and precipitous decline of many bat species in North America, natural resource managers need modified and/or new techniques for bat inventory and monitoring that provide robust occupancy estimates. We used Anabat acoustic detectors to determine the most efficient passive acoustic sampling design for optimizing detection probabilities of multiple bat species in a WNS-impacted environment in New York, USA. Our sampling protocol included: six acoustic stations deployed for the entire duration of monitoring as well as a 4 x 4 grid and five transects of 5-10 acoustic units that were deployed for 6-8 night sample durations surveyed during the summers of 2011-2012. We used Program PRESENCE to determine detection probability and site occupancy estimates. Overall, the grid produced the highest detection probabilities for most species because it contained the most detectors and intercepted the greatest spatial area. However, big brown bats (Eptesicus fuscus) and species not impacted by WNS were detected easily regardless of sampling array. Endangered Indiana (Myotis sodalis) and little brown (Myotis lucifugus) and tri-colored bats (Perimyotis subflavus) showed declines in detection probabilities over our study, potentially indicative of continued WNS-associated declines. Identification of species presence through efficient methodologies is vital for future conservation efforts as bat populations decline further due to WNS and other factors.
","language":"English","publisher":"Academic Journals","doi":"10.5897/JENE2013.0424","usgsCitation":"Coleman, L.S., Ford, W.M., Dobony, C.A., and Britzke, E.R., 2014, Effect of passive acoustic sampling methodology on detecting bats after declines from white nose syndrome: Journal of Ecology and the Natural Environment, v. 6, no. 2, p. 56-64, https://doi.org/10.5897/JENE2013.0424.","productDescription":"9 p.","startPage":"56","endPage":"64","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052491","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":473193,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5897/jene2013.0424","text":"Publisher Index Page"},{"id":323985,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2014-02-28","publicationStatus":"PW","scienceBaseUri":"576913b6e4b07657d19ff027","contributors":{"authors":[{"text":"Coleman, Laci S.","contributorId":171672,"corporation":false,"usgs":false,"family":"Coleman","given":"Laci","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":638264,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ford, W. Mark wford@usgs.gov","contributorId":3858,"corporation":false,"usgs":true,"family":"Ford","given":"W.","email":"wford@usgs.gov","middleInitial":"Mark","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":638028,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dobony, Christopher A.","contributorId":171455,"corporation":false,"usgs":false,"family":"Dobony","given":"Christopher","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":638265,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Britzke, Eric R.","contributorId":8327,"corporation":false,"usgs":true,"family":"Britzke","given":"Eric","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":638266,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70193624,"text":"70193624 - 2014 - Distinguishing high surf from volcanic long-period earthquakes","interactions":[],"lastModifiedDate":"2019-03-11T10:16:15","indexId":"70193624","displayToPublicDate":"2014-02-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Distinguishing high surf from volcanic long-period earthquakes","docAbstract":"Repeating long-period (LP) earthquakes are observed at active volcanoes worldwide and are typically attributed to unsteady pressure fluctuations associated with fluid migration through the volcanic plumbing system. Nonvolcanic sources of LP signals include ice movement and glacial outburst floods, and the waveform characteristics and frequency content of these events often make them difficult to distinguish from volcanic LP events. We analyze seismic and infrasound data from an LP swarm recorded at Pagan volcano on 12–14 October 2013 and compare the results to ocean wave data from a nearby buoy. We demonstrate that although the events show strong similarity to volcanic LP signals, the events are not volcanic but due to intense surf generated by a passing typhoon. Seismo-acoustic methods allow for rapid distinction of volcanic LP signals from those generated by large surf and other sources, a critical task for volcano monitoring.
","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2013GL058954","usgsCitation":"Lyons, J.J., Haney, M.M., Fee, D., and Paskievitch, J.F., 2014, Distinguishing high surf from volcanic long-period earthquakes: Geophysical Research Letters, v. 41, no. 4, p. 1171-1178, https://doi.org/10.1002/2013GL058954.","productDescription":"8 p.","startPage":"1171","endPage":"1178","ipdsId":"IP-054227","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":473195,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2013gl058954","text":"Publisher Index Page"},{"id":348127,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Northern Mariana Islands","otherGeospatial":"Pagan Volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 145.7394790649414,\n 18.09005443316846\n ],\n [\n 145.8211898803711,\n 18.09005443316846\n ],\n [\n 145.8211898803711,\n 18.1794521066779\n ],\n [\n 145.7394790649414,\n 18.1794521066779\n ],\n [\n 145.7394790649414,\n 18.09005443316846\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"41","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2014-02-20","publicationStatus":"PW","scienceBaseUri":"59fc2eabe4b0531197b27fb1","contributors":{"authors":[{"text":"Lyons, John J. 0000-0001-5409-1698 jlyons@usgs.gov","orcid":"https://orcid.org/0000-0001-5409-1698","contributorId":5394,"corporation":false,"usgs":true,"family":"Lyons","given":"John","email":"jlyons@usgs.gov","middleInitial":"J.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":719660,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haney, Matthew M. 0000-0003-3317-7884 mhaney@usgs.gov","orcid":"https://orcid.org/0000-0003-3317-7884","contributorId":172948,"corporation":false,"usgs":true,"family":"Haney","given":"Matthew","email":"mhaney@usgs.gov","middleInitial":"M.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":719659,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fee, David","contributorId":199660,"corporation":false,"usgs":false,"family":"Fee","given":"David","affiliations":[],"preferred":false,"id":719661,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Paskievitch, John F. jpaskie@usgs.gov","contributorId":3709,"corporation":false,"usgs":true,"family":"Paskievitch","given":"John","email":"jpaskie@usgs.gov","middleInitial":"F.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":719662,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70131489,"text":"70131489 - 2014 - Africa-wide monitoring of small surface water bodies using multisource satellite data: A monitoring system for FEWS NET","interactions":[],"lastModifiedDate":"2021-11-26T14:20:47.474944","indexId":"70131489","displayToPublicDate":"2014-02-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"5","title":"Africa-wide monitoring of small surface water bodies using multisource satellite data: A monitoring system for FEWS NET","docAbstract":"Continental Africa has the highest volume of water stored in wetlands, large lakes, reservoirs, and rivers, yet it suffers from problems such as water availability and access. With climate change intensifying the hydrologic cycle and altering the distribution and frequency of rainfall, the problem of water availability and access will increase further. Famine Early Warning Systems Network (FEWS NET) funded by the United States Agency for International Development (USAID) has initiated a large-scale project to monitor small to medium surface water points in Africa. Under this project, multisource satellite data and hydrologic modeling techniques are integrated to monitor several hundreds of small to medium surface water points in Africa. This approach has been already tested to operationally monitor 41 water points in East Africa. The validation of modeled scaled depths with field-installed gauge data demonstrated the ability of the model to capture both the spatial patterns and seasonal variations. Modeled scaled estimates captured up to 60 % of the observed gauge variability with a mean root-mean-square error (RMSE) of 22 %. The data on relative water level, precipitation, and evapotranspiration (ETo) for water points in East and West Africa were modeled since 1998 and current information is being made available in near-real time. This chapter presents the approach, results from the East African study, and the first phase of expansion activities in the West Africa region. The water point monitoring network will be further expanded to cover much of sub-Saharan Africa. The goal of this study is to provide timely information on the water availability that would support already established FEWS NET activities in Africa. This chapter also presents the potential improvements in modeling approach to be implemented during future expansion in Africa.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Nile River Basin","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-319-02720-3_5","usgsCitation":"Velpuri, N.M., Senay, G.B., Rowland, J., Verdin, J.P., and Alemu, H., 2014, Africa-wide monitoring of small surface water bodies using multisource satellite data: A monitoring system for FEWS NET, chap. 5 of Nile River Basin, p. 69-95, https://doi.org/10.1007/978-3-319-02720-3_5.","productDescription":"27 p.","startPage":"69","endPage":"95","numberOfPages":"27","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052450","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":296230,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Africa","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -21.796875,\n -35.17380831799957\n ],\n [\n -21.796875,\n 37.85750715625203\n ],\n [\n 51.50390625,\n 37.85750715625203\n ],\n [\n 51.50390625,\n -35.17380831799957\n ],\n [\n -21.796875,\n -35.17380831799957\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2014-02-05","publicationStatus":"PW","scienceBaseUri":"546f10e3e4b057be23d4a73d","contributors":{"editors":[{"text":"Melesse, Assefa M.","contributorId":45044,"corporation":false,"usgs":false,"family":"Melesse","given":"Assefa","email":"","middleInitial":"M.","affiliations":[{"id":7003,"text":"Deprtment of Earth & Environmental ECS 339, Florida Interational University","active":true,"usgs":false}],"preferred":false,"id":525612,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Abtew, Wossenu","contributorId":127536,"corporation":false,"usgs":false,"family":"Abtew","given":"Wossenu","email":"","affiliations":[{"id":7036,"text":"South Florida Water Management District","active":true,"usgs":false}],"preferred":false,"id":525613,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Setegn, Shimelis G.","contributorId":127537,"corporation":false,"usgs":false,"family":"Setegn","given":"Shimelis","email":"","middleInitial":"G.","affiliations":[{"id":7017,"text":"Florida International University","active":true,"usgs":false}],"preferred":false,"id":525614,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Velpuri, Naga Manohar 0000-0002-6370-1926 nvelpuri@usgs.gov","orcid":"https://orcid.org/0000-0002-6370-1926","contributorId":4441,"corporation":false,"usgs":true,"family":"Velpuri","given":"Naga","email":"nvelpuri@usgs.gov","middleInitial":"Manohar","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":521260,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Senay, Gabriel B. 0000-0002-8810-8539 senay@usgs.gov","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":3114,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel","email":"senay@usgs.gov","middleInitial":"B.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":521261,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rowland, James 0000-0003-4837-3511 rowland@usgs.gov","orcid":"https://orcid.org/0000-0003-4837-3511","contributorId":3108,"corporation":false,"usgs":true,"family":"Rowland","given":"James","email":"rowland@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":521263,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Verdin, James P. 0000-0003-0238-9657 verdin@usgs.gov","orcid":"https://orcid.org/0000-0003-0238-9657","contributorId":720,"corporation":false,"usgs":true,"family":"Verdin","given":"James","email":"verdin@usgs.gov","middleInitial":"P.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":521264,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Alemu, Henok","contributorId":124527,"corporation":false,"usgs":false,"family":"Alemu","given":"Henok","email":"","affiliations":[{"id":5087,"text":"Geographic Information Science Center of Excellence (GIScCE), South Dakota State University, Brookings, USA","active":true,"usgs":false}],"preferred":false,"id":521262,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70181780,"text":"70181780 - 2014 - Thermal-maturity limit for primary thermogenic-gas generation from humic coals as determined by hydrous pyrolysis","interactions":[],"lastModifiedDate":"2017-02-14T10:36:55","indexId":"70181780","displayToPublicDate":"2014-02-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":605,"text":"AAPG Bulletin","printIssn":"0149-1423","active":true,"publicationSubtype":{"id":10}},"title":"Thermal-maturity limit for primary thermogenic-gas generation from humic coals as determined by hydrous pyrolysis","docAbstract":"Hydrous-pyrolysis experiments at 360°C (680°F) for 72 h were conducted on 53 humic coals representing ranks from lignite through anthracite to determine the upper maturity limit for hydrocarbon-gas generation from their kerogen and associated bitumen (i.e., primary gas generation). These experimental conditions are below those needed for oil cracking to ensure that generated gas was not derived from the decomposition of expelled oil generated from some of the coals (i.e., secondary gas generation). Experimental results showed that generation of hydrocarbon gas ends before a vitrinite reflectance ![\"BLTN13204eq1\"](\"http://archives.datapages.com/data/bulletns/2014/12dec/BLTN13204/EQUATIONS/BLTN13204eq1.JPG\")
of 2.0%. This reflectance is equivalent to Rock-Eval maximum-yield temperature ![\"BLTN13204eq2\"](\"http://archives.datapages.com/data/bulletns/2014/12dec/BLTN13204/EQUATIONS/BLTN13204eq2.JPG\")
and hydrogen indices (HIs) of 555°C (1031°F) and 35 mg/g total organic carbon (TOC), respectively. At these maturity levels, essentially no soluble bitumen is present in the coals before or after hydrous pyrolysis. The equivalent kerogen atomic H/C ratio is 0.50 at the primary gas-generation limit and indicates that no alkyl moieties are remaining to source hydrocarbon gases. The convergence of atomic H/C ratios of type-II and -I kerogen to this same value at a reflectance of ![\"BLTN13204eq3\"](\"http://archives.datapages.com/data/bulletns/2014/12dec/BLTN13204/EQUATIONS/BLTN13204eq3.JPG\")
indicates that the primary gas-generation limits for humic coal and type-III kerogen also apply to oil-prone kerogen. Although gas generation from source rocks does not exceed vitrinite reflectance values greater than ![\"BLTN13204eq4\"](\"http://archives.datapages.com/data/bulletns/2014/12dec/BLTN13204/EQUATIONS/BLTN13204eq4.JPG\")
, trapped hydrocarbon gases can remain stable at higher reflectance values. Distinguishing trapped gas from generated gas in hydrous-pyrolysis experiments is readily determined by ![\"BLTN13204eq5\"](\"http://archives.datapages.com/data/bulletns/2014/12dec/BLTN13204/EQUATIONS/BLTN13204eq5.JPG\")
of the hydrocarbon gases when a ![\"BLTN13204eq6\"](\"http://archives.datapages.com/data/bulletns/2014/12dec/BLTN13204/EQUATIONS/BLTN13204eq6.JPG\")
-depleted water is used in the experiments. Water serves as a source of hydrogen in hydrous pyrolysis and, as a result, the use of ![\"BLTN13204eq7\"](\"http://archives.datapages.com/data/bulletns/2014/12dec/BLTN13204/EQUATIONS/BLTN13204eq7.JPG\")
-depleted water is reflected in the generated gases but not pre-existing trapped gases.
","language":"English","publisher":"AAPG","doi":"10.1306/06021413204","usgsCitation":"Lewan, M., and Kotarba, M., 2014, Thermal-maturity limit for primary thermogenic-gas generation from humic coals as determined by hydrous pyrolysis: AAPG Bulletin, v. 98, no. 12, p. 2581-2610, https://doi.org/10.1306/06021413204.","productDescription":"30 p.","startPage":"2581","endPage":"2610","ipdsId":"IP-051905","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":335323,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"98","issue":"12","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58a42534e4b0c825128ad434","contributors":{"authors":[{"text":"Lewan, Michael 0000-0001-6347-1553 mlewan@usgs.gov","orcid":"https://orcid.org/0000-0001-6347-1553","contributorId":173938,"corporation":false,"usgs":true,"family":"Lewan","given":"Michael","email":"mlewan@usgs.gov","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":668521,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kotarba, M.J.","contributorId":181531,"corporation":false,"usgs":false,"family":"Kotarba","given":"M.J.","affiliations":[],"preferred":false,"id":668522,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70186678,"text":"70186678 - 2014 - Mineral resource of the month: Iron and steel","interactions":[],"lastModifiedDate":"2017-04-07T10:07:43","indexId":"70186678","displayToPublicDate":"2014-02-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1419,"text":"Earth","active":true,"publicationSubtype":{"id":10}},"title":"Mineral resource of the month: Iron and steel","docAbstract":"Iron is one of the most abundant elements on Earth, but it does not occur in nature in a useful metallic form. Although ancient people may have recovered some iron from meteorites, it wasn’t until smelting was invented that iron metal could be derived from iron oxides. After the beginning of the Iron Age in about 1200 B.C., knowledge of iron- and steelmaking spread from the ancient Middle East through Greece to the Roman Empire, then to Europe and, in the early 17th century, to North America. The first successful furnace in North America began operating in 1646 in what is now Saugus, Mass. Introduction of the Bessemer converter in the mid-19th century made the modern steel age possible.
","language":"English","publisher":"AGI","usgsCitation":"Fenton, M.D., 2014, Mineral resource of the month: Iron and steel: Earth, v. February 2014, HTML Document.","productDescription":"HTML Document","ipdsId":"IP-052427","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":339391,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":339386,"type":{"id":15,"text":"Index Page"},"url":"https://www.earthmagazine.org/article/mineral-resource-month-iron-and-steel"}],"volume":"February 2014","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58e8a545e4b09da6799d63b7","contributors":{"authors":[{"text":"Fenton, Michael D. mfenton@usgs.gov","contributorId":2897,"corporation":false,"usgs":true,"family":"Fenton","given":"Michael","email":"mfenton@usgs.gov","middleInitial":"D.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":690256,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70059286,"text":"ds810 - 2014 - Compilation of hydrologic data for White Sands pupfish habitat and nonhabitat areas, northern Tularosa Basin, White Sands Missile Range and Holloman Air Force Base, New Mexico, 1911-2008","interactions":[],"lastModifiedDate":"2014-01-31T14:55:56","indexId":"ds810","displayToPublicDate":"2014-01-31T14:42:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"810","title":"Compilation of hydrologic data for White Sands pupfish habitat and nonhabitat areas, northern Tularosa Basin, White Sands Missile Range and Holloman Air Force Base, New Mexico, 1911-2008","docAbstract":"The White Sands pupfish (Cyprinodon tularosa), listed as threatened by the State of New Mexico and as a Federal species of concern, is endemic to the Tularosa Basin, New Mexico. Because water quality can affect pupfish and the environmental conditions of their habitat, a comprehensive compilation of hydrologic data for pupfish habitat and nonhabitat areas in the northern Tularosa Basin was undertaken by the U.S. Geological Survey in cooperation with White Sands Missile Range.
\n
\nThe four locations within the Tularosa Basin that are known pupfish habitat areas are the Salt Creek, Malpais Spring and Malpais Salt Marsh, Main Mound Spring, and Lost River habitat areas. Streamflow data from the Salt Creek near Tularosa streamflow-gaging station indicated that the average annual mean streamflow and average annual total streamflow for water years 1995–2008 were 1.35 cubic feet per second (ft3/s) and 983 acre-feet, respectively. Periods of no flow were observed in water years 2002 through 2006. Dissolved-solids concentrations in Salt Creek samples collected from 1911 through 2007 ranged from 2,290 to 66,700 milligrams per liter (mg/L).
\n
\nThe average annual mean streamflow and average annual total streamflow at the Malpais Spring near Oscura streamflow-gaging station for water years 2003–8 were 6.81 ft3/s and 584 acre-feet, respectively. Dissolved-solids concentrations for 16 Malpais Spring samples ranged from 3,882 to 5,500 mg/L. Isotopic data for a Malpais Spring near Oscura water sample collected in 1982 indicated that the water was more than 27,900 years old.
\n
\nStreamflow from Main Mound Spring was estimated at 0.007 ft3/s in 1955 and 1957 and ranged from 0.02 to 0.07 ft3/s from 1996 to 2001. Dissolved-solids concentrations in samples collected between 1955 and 2007 ranged from an estimated 3,760 to 4,240 mg/L in the upper pond and 4,840 to 5,120 mg/L in the lower pond. Isotopic data for a Main Mound Spring water sample collected in 1982 indicated that the water was about 19,600 years old.
\n
\nDissolved-solids concentrations of Lost River samples collected from 1984 to 1999 ranged from 8,930 to 118,000 (estimated) mg/L.
\n
\nDissolved-solids concentrations in samples from nonhabitat area sites ranged from 1,740 to 54,200 (estimated) mg/L. In general, water collected from pupfish nonhabitat area sites tends to have larger proportions of calcium, magnesium, and sulfate than water from pupfish habitat area sites. Water from springs associated with mounds in pupfish nonhabitat areas was of a similar type (calcium-sulfate) to water associated with mounds in pupfish habitat areas. Alkali Spring had a sodium-chloride water type, but the proportions of sodium-chloride and magnesium-sulfate are unique as compared to samples from other sites.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds810","collaboration":"Prepared in cooperation with White Sands Missile Range","usgsCitation":"Naus, C., Myers, R.G., Saleh, D., and Myers, N.C., 2014, Compilation of hydrologic data for White Sands pupfish habitat and nonhabitat areas, northern Tularosa Basin, White Sands Missile Range and Holloman Air Force Base, New Mexico, 1911-2008: U.S. Geological Survey Data Series 810, Report: v, 35 p.; 2 Appendixes, https://doi.org/10.3133/ds810.","productDescription":"Report: v, 35 p.; 2 Appendixes","numberOfPages":"44","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"1911-01-01","temporalEnd":"2008-12-31","ipdsId":"IP-014607","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":281855,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/810/"},{"id":281856,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/810/pdf/ds810.pdf"},{"id":281857,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/810/downloads/ds810_appendix1.pdf"},{"id":281866,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds810.jpg"},{"id":281858,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/810/downloads/ds810_appendix2.xlsx"}],"projection":"Universal Transverse Mercator projection","datum":"North American Datum of 1983","country":"United States","state":"New Mexico","otherGeospatial":"Lost River;Main Mound Spring;Malpais Salt Marsh;Malpais Spring;Salt Creek;Tularosa Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -107.6056,31.241 ], [ -107.6056,34.289 ], [ -105.3836,34.289 ], [ -105.3836,31.241 ], [ -107.6056,31.241 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd522fe4b0b290850f45e6","contributors":{"authors":[{"text":"Naus, C.A.","contributorId":47693,"corporation":false,"usgs":true,"family":"Naus","given":"C.A.","affiliations":[],"preferred":false,"id":487653,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Myers, R. G.","contributorId":30642,"corporation":false,"usgs":true,"family":"Myers","given":"R.","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":487652,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Saleh, D.K. 0000-0002-1406-9303","orcid":"https://orcid.org/0000-0002-1406-9303","contributorId":82748,"corporation":false,"usgs":true,"family":"Saleh","given":"D.K.","affiliations":[],"preferred":false,"id":487654,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Myers, N. C.","contributorId":13622,"corporation":false,"usgs":true,"family":"Myers","given":"N.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":487651,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70074330,"text":"gip155 - 2014 - Flood-tracking chart for the Withlacoochee and Little River Basins in south-central Georgia and northern Florida","interactions":[],"lastModifiedDate":"2016-12-07T12:13:36","indexId":"gip155","displayToPublicDate":"2014-01-31T12:23:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":315,"text":"General Information Product","code":"GIP","onlineIssn":"2332-354X","printIssn":"2332-3531","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"155","title":"Flood-tracking chart for the Withlacoochee and Little River Basins in south-central Georgia and northern Florida","docAbstract":"The U.S. Geological Survey (USGS), in cooperation with other Federal, State, and local agencies, operates a flood-monitoring system in the Withlacoochee and Little River Basins. This system is a network of automated river stage stations (ten are shown on page 2 of this publication) that transmit stage data through satellite telemetry to the USGS in Atlanta, Georgia and the National Weather Service (NWS) in Peachtree City, Georgia. During floods, the public and emergency response agencies use this information to make decisions about road closures, evacuations, and other public safety issues.
\n
\nThis Withlacoochee and Little River Basins flood-tracking chart can be used by local citizens and emergency response personnel to record the latest river stage and predicted flood-crest information along the Withlacoochee River, Little River, and Okapilco Creek in south-central Georgia and northern Florida. By comparing the current stage (water-surface level above a datum) and predicted flood crest to the recorded peak stages of previous floods, emergency response personnel and residents can make informed decisions concerning the threat to life and property.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/gip155","collaboration":"Prepared in cooperation with the City of Valdosta, Lowndes County, Suwannee River Water Management District, and National Weather Service","usgsCitation":"Gotvald, A.J., McCallum, B.E., and Painter, J.A., 2014, Flood-tracking chart for the Withlacoochee and Little River Basins in south-central Georgia and northern Florida: U.S. Geological Survey General Information Product 155, 2 p., https://doi.org/10.3133/gip155.","productDescription":"2 p.","numberOfPages":"2","ipdsId":"IP-051580","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":281834,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/gip/0155/"},{"id":281835,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/0155/pdf/gip-155.pdf"},{"id":281836,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/gip155.jpg"}],"datum":"North American Vertical Datum of 1988","country":"United States","state":"Florida, Georgia","otherGeospatial":"Little River Basin, Okapilco Creek, Withlacoochee River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -83.736458,30.26011 ], [ -83.736458,31.854235 ], [ -83.034668,31.854235 ], [ -83.034668,30.26011 ], [ -83.736458,30.26011 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd59b7e4b0b290850f8e4a","contributors":{"authors":[{"text":"Gotvald, Anthony J. 0000-0002-9019-750X agotvald@usgs.gov","orcid":"https://orcid.org/0000-0002-9019-750X","contributorId":1970,"corporation":false,"usgs":true,"family":"Gotvald","given":"Anthony","email":"agotvald@usgs.gov","middleInitial":"J.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":489496,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCallum, Brian E. 0000-0002-8935-0343 bemccall@usgs.gov","orcid":"https://orcid.org/0000-0002-8935-0343","contributorId":1591,"corporation":false,"usgs":true,"family":"McCallum","given":"Brian","email":"bemccall@usgs.gov","middleInitial":"E.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":489495,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Painter, Jaime A. 0000-0001-8883-9158 jpainter@usgs.gov","orcid":"https://orcid.org/0000-0001-8883-9158","contributorId":1466,"corporation":false,"usgs":true,"family":"Painter","given":"Jaime","email":"jpainter@usgs.gov","middleInitial":"A.","affiliations":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":489494,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
]}