{"pageNumber":"1831","pageRowStart":"45750","pageSize":"25","recordCount":184617,"records":[{"id":70003449,"text":"70003449 - 2011 - Inference for occupancy and occupancy dynamics","interactions":[],"lastModifiedDate":"2016-09-26T09:57:52","indexId":"70003449","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Inference for occupancy and occupancy dynamics","docAbstract":"<p><span>This chapter deals with the estimation of occupancy as a state variable to assess the status of, and track changes in, species distributions when sampling with camera traps. Much of the recent interest in occupancy estimation and modeling originated from the models developed by MacKenzie et al. (2002, 2003), although similar methods were developed independently (Azuma et al. 1990; Bayley and Petersen 2001; Nichols and Karanth, 2002; Tyre et al. 2003), all of which deal with species occurrence information and imperfect detection. Less than a decade after these publications, the modeling and estimation of species occurrence and occupancy dynamics have increased significantly. Special features of scientific journals have explored innovative uses of detection–nondetection data with occupancy models (Vojta 2005), and an entire volume has synthesized the use and application of occupancy estimation methods (MacKenzie et al. 2006). Reviews of the topical concepts, philosophical considerations, and various sampling designs that can be used for occupancy estimation are now readily available for a range of audiences (MacKenzie and Royle 2005; MacKenzie et al. 2006; Bailey et al. 2007; Royle and Dorazio 2008; Conroy and Carroll 2009; Kendall and White 2009; Hines et al. 2010; Link and Barker 2010). As a result, it would be pointless here to recast all that these publications have so eloquently articulated, but that said, a review of any scientific topic requires sufficient context and relevant background information, especially when relatively new methodologies and techniques such as occupancy estimation and camera traps are involved. This is especially critical in a digital age where new information is published at warp speed, making it increasingly difficult to stay abreast of theoretical advances and research developments.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Camera traps in animal ecology","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-4-431-99495-4_11","usgsCitation":"O’Connell, A.F., and Bailey, L., 2011, Inference for occupancy and occupancy dynamics, chap. <i>of</i> Camera traps in animal ecology, p. 191-204, https://doi.org/10.1007/978-4-431-99495-4_11.","productDescription":"14 p.","startPage":"191","endPage":"204","ipdsId":"IP-021692","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":328952,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"UNITED STATES","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7f5bae4b0bc0bec0a1814","contributors":{"editors":[{"text":"O’Connell, Allan F. 0000-0001-7032-7023 aoconnell@usgs.gov","orcid":"https://orcid.org/0000-0001-7032-7023","contributorId":471,"corporation":false,"usgs":true,"family":"O’Connell","given":"Allan","email":"aoconnell@usgs.gov","middleInitial":"F.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":649603,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Nichols, James D. jnichols@usgs.gov","contributorId":139087,"corporation":false,"usgs":true,"family":"Nichols","given":"James D.","email":"jnichols@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":649604,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Karanth, K. Ullas","contributorId":6984,"corporation":false,"usgs":true,"family":"Karanth","given":"K.","email":"","middleInitial":"Ullas","affiliations":[],"preferred":false,"id":649605,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"O’Connell, Allan F. 0000-0001-7032-7023 aoconnell@usgs.gov","orcid":"https://orcid.org/0000-0001-7032-7023","contributorId":471,"corporation":false,"usgs":true,"family":"O’Connell","given":"Allan","email":"aoconnell@usgs.gov","middleInitial":"F.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":649601,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bailey, Larissa L.","contributorId":93183,"corporation":false,"usgs":true,"family":"Bailey","given":"Larissa L.","affiliations":[],"preferred":false,"id":649602,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70034757,"text":"70034757 - 2011 - Infrasound from the 2007 fissure eruptions of Kīlauea Volcano, Hawai'i","interactions":[],"lastModifiedDate":"2018-10-30T09:37:06","indexId":"70034757","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","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":"Infrasound from the 2007 fissure eruptions of Kīlauea Volcano, Hawai'i","docAbstract":"Varied acoustic signals were recorded at Kīlauea Volcano in mid-2007, coincident with dramatic changes in the volcano's activity. Prior to this time period, Pu'u 'Ō'ō crater produced near-continuous infrasonic tremor and was the primary source of degassing and lava effusion at Kīlauea. Collapse and draining of Pu'u 'Ō'ō  crater in mid-June produced impulsive infrasonic signals and fluctuations in infrasonic tremor. Fissure eruptions on 19 June and 21 July were clearly located spatially and temporally using infrasound arrays. The 19 June eruption from a fissure approximately mid-way between Kīlauea's summit and Pu'u 'O'o produced infrasound for ~30 minutes-the only observed geophysical signal associated with the fissure opening. The infrasound signal from the 21 July eruption just east of Pu'u 'Ō'ō  shows a clear azimuthal progression over time, indicative of fissure propagation over 12.9 hours. The total fissure propagation rate is relatively slow at 164 m/hr, although the fissure system ruptured discontinuously. Individual fissure rupture times are estimated using the acoustic data combined with visual observations.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysical Research Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1029/2010GL046422","issn":"00948276","usgsCitation":"Fee, D., Garces, M., Orr, T., and Poland, M.P., 2011, Infrasound from the 2007 fissure eruptions of Kīlauea Volcano, Hawai'i: Geophysical Research Letters, v. 38, 5 p.; L06309, https://doi.org/10.1029/2010GL046422.","productDescription":"5 p.; L06309","costCenters":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true}],"links":[{"id":475169,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2010gl046422","text":"Publisher Index Page"},{"id":215635,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2010GL046422"},{"id":243452,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawai'i","otherGeospatial":"Kilauea Volcano","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -155.05,19.58 ], [ -155.05,19.76 ], [ -155.03,19.76 ], [ -155.03,19.58 ], [ -155.05,19.58 ] ] ] } } ] }","volume":"38","noUsgsAuthors":false,"publicationDate":"2011-03-30","publicationStatus":"PW","scienceBaseUri":"505a3bcae4b0c8380cd62839","contributors":{"authors":[{"text":"Fee, D.","contributorId":23353,"corporation":false,"usgs":true,"family":"Fee","given":"D.","email":"","affiliations":[],"preferred":false,"id":447441,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garces, M.","contributorId":42406,"corporation":false,"usgs":true,"family":"Garces","given":"M.","email":"","affiliations":[],"preferred":false,"id":447443,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Orr, Tim R. 0000-0003-1157-7588","orcid":"https://orcid.org/0000-0003-1157-7588","contributorId":26365,"corporation":false,"usgs":true,"family":"Orr","given":"Tim R.","affiliations":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true}],"preferred":true,"id":447442,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Poland, Michael P. 0000-0001-5240-6123 mpoland@usgs.gov","orcid":"https://orcid.org/0000-0001-5240-6123","contributorId":146118,"corporation":false,"usgs":true,"family":"Poland","given":"Michael","email":"mpoland@usgs.gov","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":447444,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70034081,"text":"70034081 - 2011 - Terrestrial sensitivity to abrupt cooling recorded by aeolian activity in northwest Ohio, USA","interactions":[],"lastModifiedDate":"2012-03-12T17:21:45","indexId":"70034081","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","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":"Terrestrial sensitivity to abrupt cooling recorded by aeolian activity in northwest Ohio, USA","docAbstract":"Optically stimulated luminescence dated sand dunes and Pleistocene beach ridges in northwest Ohio are used to reconstruct landscape modification more than 5000. yr after deglaciation. Four of the OSL ages (13.3-11.1. ka) cluster around the Younger Dryas cold event, five ages (10.8-8.2. ka) cluster around the Preboreal, one young age (0.9-0.7. ka) records more recent aeolian activity, and one age of 15.1-13.1. ka dates a barrier spit in Lake Warren. In northwest Ohio, both landscape instability recorded by aeolian activity and a vegetation response recorded by pollen are coeval with the Younger Dryas. However, the climate conditions during the Preboreal resulting in aeolian activity are not recorded in the available pollen records. From this, we conclude that aeolian dunes and surfaces susceptible to deflation are sensitive to cooler, drier episodes of climate and can complement pollen data. Younger Dryas and Preboreal aged aeolian activity in northwestern Ohio coincides with aeolian records elsewhere in the Great Lakes region east of the prairie-forest ecotone. ?? 2011 University of Washington.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Quaternary Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.yqres.2011.01.009","issn":"00335894","usgsCitation":"Campbell, M., Fisher, T., and Goble, R., 2011, Terrestrial sensitivity to abrupt cooling recorded by aeolian activity in northwest Ohio, USA: Quaternary Research, v. 75, no. 3, p. 411-416, https://doi.org/10.1016/j.yqres.2011.01.009.","startPage":"411","endPage":"416","numberOfPages":"6","costCenters":[],"links":[{"id":244452,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216574,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.yqres.2011.01.009"}],"volume":"75","issue":"3","noUsgsAuthors":false,"publicationDate":"2017-01-20","publicationStatus":"PW","scienceBaseUri":"505ba563e4b08c986b3209f6","contributors":{"authors":[{"text":"Campbell, M.C.","contributorId":97348,"corporation":false,"usgs":true,"family":"Campbell","given":"M.C.","email":"","affiliations":[],"preferred":false,"id":443989,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fisher, T.G.","contributorId":67754,"corporation":false,"usgs":true,"family":"Fisher","given":"T.G.","email":"","affiliations":[],"preferred":false,"id":443988,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goble, R.J.","contributorId":21265,"corporation":false,"usgs":true,"family":"Goble","given":"R.J.","email":"","affiliations":[],"preferred":false,"id":443987,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70035093,"text":"70035093 - 2011 - Female white-tailed deer survival across ecoregions in Minnesota and South Dakota","interactions":[],"lastModifiedDate":"2017-04-06T12:33:59","indexId":"70035093","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":737,"text":"American Midland Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Female white-tailed deer survival across ecoregions in Minnesota and South Dakota","docAbstract":"<p>Survival and cause-specific mortality of female white-tailed deer (<i>Odocoileus virginianus</i>) have been well documented in forested and agricultural landscapes, but limited information has been collected in grassland habitats typical of the Northern Great Plains. Our objectives were to document and compare survival and cause-specific mortality of adult female white-tailed deer in four distinct ecoregions. We captured and radiocollared 190 (159 adult, 31 yearling) female white-tailed deer and monitored (including deer from a previous study) a total of 246 (215 adult, 31 yearling) deer from Jan. 2000 to Dec. 2007. We documented 113 mortalities; hunting (including wounding loss) accounted for 69.9% of all mortalities and vehicle collisions accounted for an additional 15.0%. Natural causes (<i>e.g.,</i> disease, predation) of mortality were minor compared to human-related causes (<i>e.g.,</i> hunting, vehicle collisions). We used known fate modeling in program MARK to estimate survival rates and compare ecoregions and seasons. Model {S<sub>season (winter = summer)</sub>} had the lowest AIC<i><sub>c</sub></i> value suggesting that survival differed only between seasons where winter and summer survival was equal and differed with fall season. Annual and seasonal (summer, fall, winter) survival rates using the top model {S<sub>season (summer = winter)</sub>} were 0.76 (95% <span class=\"smallcaps\">ci</span>  =  0.70–0.80), 0.97 (95% <span class=\"smallcaps\">ci</span>  =  0.96–0.98), 0.80 (95% <span class=\"smallcaps\">ci</span>  =  0.76–0.83) and 0.97 (95% <span class=\"smallcaps\">ci</span>  =  0.96–0.98), respectively. High human-related mortality was likely associated with limited permanent cover, extensive road networks and high hunter density. Deer management in four distinct ecoregions relies on hunter harvest to maintain deer populations within state management goals.</p>","language":"English","publisher":"University of Notre Dame","doi":"10.1674/0003-0031-165.2.426","issn":"00030031","usgsCitation":"Grovenburg, T., Swanson, C.C., Jacques, C., Deperno, C., Klaver, R., and Jenks, J., 2011, Female white-tailed deer survival across ecoregions in Minnesota and South Dakota: American Midland Naturalist, v. 165, no. 2, p. 426-435, https://doi.org/10.1674/0003-0031-165.2.426.","productDescription":"10 p.","startPage":"426","endPage":"435","numberOfPages":"10","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":242855,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota, South Dakota","county":"Fillmore County, Lincoln County, Olmsted County, Pipestone County, Redwood County, Renville County, Brookings County, Brown County, Edmunds County, Faulk County, Grant County, McPherson County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-91.7304,43.8503],[-91.7306,43.5023],[-92.0803,43.5021],[-92.0828,43.5021],[-92.4507,43.5026],[-92.4507,43.8361],[-92.6891,43.8368],[-92.6889,43.8514],[-92.6775,43.8518],[-92.6804,44.1972],[-92.5516,44.1972],[-92.3189,44.1954],[-92.3178,44.1101],[-92.0803,44.1087],[-92.0806,43.8508],[-91.7304,43.8503]]],[[[-96.4532,44.6317],[-96.0914,44.631],[-96.0932,44.5456],[-96.0747,44.5455],[-96.0788,44.1993],[-96.0628,44.1987],[-96.0657,43.8527],[-96.4532,43.8515],[-96.4538,44.1983],[-96.8874,44.1965],[-97.1286,44.1965],[-97.1285,44.545],[-96.8874,44.5446],[-96.4534,44.5444],[-96.4533,44.6289],[-96.4533,44.6303],[-96.4532,44.6317]]],[[[-94.8623,44.4977],[-94.8637,44.2829],[-95.1051,44.283],[-95.1062,44.1968],[-95.4633,44.197],[-95.5921,44.1964],[-95.5938,44.5434],[-95.3567,44.5437],[-95.3584,44.6993],[-95.3643,44.7019],[-95.3707,44.7028],[-95.3765,44.7041],[-95.3773,44.7072],[-95.3767,44.71],[-95.3781,44.7122],[-95.3806,44.7122],[-95.3851,44.7131],[-95.3878,44.7153],[-95.3929,44.7152],[-95.3962,44.7165],[-95.395,44.7207],[-95.3951,44.7248],[-95.3991,44.7284],[-95.4049,44.7315],[-95.4107,44.7319],[-95.4165,44.7322],[-95.4192,44.7354],[-95.4219,44.739],[-95.4296,44.7407],[-95.4374,44.7438],[-95.4419,44.7424],[-95.4521,44.7404],[-95.4554,44.7431],[-95.4601,44.7489],[-95.4652,44.7498],[-95.4699,44.7543],[-95.4744,44.7556],[-95.4789,44.7532],[-95.4816,44.891],[-95.2471,44.8925],[-94.7582,44.8929],[-94.4993,44.8942],[-94.4948,44.8938],[-94.4954,44.7194],[-94.6278,44.7193],[-94.6202,44.4566],[-94.7917,44.4574],[-94.7957,44.4642],[-94.799,44.4673],[-94.8054,44.4691],[-94.8074,44.4745],[-94.8126,44.4786],[-94.8166,44.4831],[-94.8281,44.4839],[-94.8365,44.4866],[-94.8391,44.492],[-94.8474,44.4897],[-94.8513,44.4933],[-94.8623,44.4977]]],[[[-98.7273,45.9373],[-98.7267,45.9373],[-98.3537,45.9355],[-98.3472,45.9355],[-98.1849,45.9355],[-98.164,45.9356],[-98.0095,45.9355],[-98.0017,45.9355],[-97.9775,45.9351],[-97.9802,45.5883],[-97.9803,45.2409],[-98.1059,45.2413],[-98.3532,45.2432],[-98.4743,45.2437],[-98.5967,45.2446],[-98.6005,45.2451],[-98.7184,45.2449],[-98.7209,45.1024],[-98.7186,44.8965],[-99.3132,44.8976],[-99.3287,44.8986],[-99.5728,44.8983],[-99.5743,45.0722],[-99.5719,45.1019],[-99.5751,45.2458],[-99.6962,45.2465],[-99.7111,45.2462],[-99.7096,45.5953],[-99.72,45.5958],[-99.7216,45.6786],[-99.7206,45.7673],[-99.7197,45.7902],[-99.7212,45.9421],[-99.0054,45.9393],[-99.0021,45.9393],[-98.7273,45.9373]]],[[[-97.226,45.2996],[-97.0088,45.2992],[-97.0022,45.3141],[-96.995,45.3276],[-96.9872,45.3279],[-96.8632,45.3292],[-96.47,45.3289],[-96.4692,45.3265],[-96.4697,45.3239],[-96.4668,45.3179],[-96.4616,45.3142],[-96.4588,45.3121],[-96.4582,45.3116],[-96.4538,45.3074],[-96.4519,45.3022],[-96.4521,45.2978],[-96.4523,45.2941],[-96.453,45.2802],[-96.4536,45.2695],[-96.4536,45.2693],[-96.4535,45.2678],[-96.453,45.2546],[-96.453,45.2429],[-96.4532,44.9788],[-96.7615,44.9772],[-96.8854,44.9779],[-96.885,45.1533],[-97.0798,45.1534],[-97.226,45.1538],[-97.2251,45.2118],[-97.226,45.2996]]]]},\"properties\":{\"name\":\"Fillmore\",\"state\":\"MN\"}}]}","volume":"165","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0f7de4b0c8380cd53908","contributors":{"authors":[{"text":"Grovenburg, T.W.","contributorId":78163,"corporation":false,"usgs":true,"family":"Grovenburg","given":"T.W.","affiliations":[],"preferred":false,"id":449278,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Swanson, C. C.","contributorId":34238,"corporation":false,"usgs":false,"family":"Swanson","given":"C.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":449276,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jacques, C.N.","contributorId":19378,"corporation":false,"usgs":true,"family":"Jacques","given":"C.N.","email":"","affiliations":[],"preferred":false,"id":449274,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Deperno, C.S.","contributorId":97870,"corporation":false,"usgs":true,"family":"Deperno","given":"C.S.","affiliations":[],"preferred":false,"id":449279,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Klaver, R. W. 0000-0002-3263-9701","orcid":"https://orcid.org/0000-0002-3263-9701","contributorId":50267,"corporation":false,"usgs":true,"family":"Klaver","given":"R. W.","affiliations":[],"preferred":false,"id":449277,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jenks, J.A.","contributorId":31726,"corporation":false,"usgs":true,"family":"Jenks","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":449275,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70035091,"text":"70035091 - 2011 - Reply to Effect of concentration of organic matter on optical maturity parameters. Interlaboratory results of the organic matter concentration working group of the ICCP. Discussion by Vinay K. Sahay","interactions":[],"lastModifiedDate":"2021-03-01T20:38:56.545198","indexId":"70035091","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2033,"text":"International Journal of Coal Geology","active":true,"publicationSubtype":{"id":10}},"title":"Reply to Effect of concentration of organic matter on optical maturity parameters. Interlaboratory results of the organic matter concentration working group of the ICCP. Discussion by Vinay K. Sahay","docAbstract":"<p><span>This reply is motivated by Sahay's comments on the paper published by Mendonça Filho et al. (2010) dealing with the effect of concentration of an organic matter on optical maturity parameters. Four points were raised by Sahay: suggestion to use of chemical parameters to assess the effect of isolation, indication that suppression of&nbsp;vitrinite&nbsp;</span>reflectance<span>&nbsp;in liptinite-rich rocks was insufficiently addressed, discussion on the way to deal with the existence of multiple vitrinite populations in a dispersed organic matter, and contradictory explanation of results involving the influence of isolation procedure on fluorescence properties but no effect on vitrinite reflectance. The four points were separately addressed being the two first ones out of the scope of the paper. The existence of multiple vitrinite populations is a well-recognized problem whose importance in the results could be addressed because the participants provided individual records of vitrinite reflectance. These results indicated that election of different populations was not a major problem in the results. The influence of isolation procedure on the fluorescence spectra of&nbsp;alginite&nbsp;while the vitrinite reflectance remains unaltered is not considered contradictory because both parameters are measured on different components which may have a different response to the acid treatment.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.coal.2011.01.001","issn":"01665162","usgsCitation":"Mendonca Filho, J., Araujo, C., Borrego, A., Cook, A., Flores, D., Hackley, P.C., Hower, J., Kern, M., Kommeren, K., Kus, J., Mastalerz, M., Mendonca, J., Menezes, T., Newman, J., Ranasinghe, P., Souza, I., Suarez-Ruiz, I., and Ujiie, Y., 2011, Reply to Effect of concentration of organic matter on optical maturity parameters. Interlaboratory results of the organic matter concentration working group of the ICCP. Discussion by Vinay K. Sahay: International Journal of Coal Geology, v. 86, no. 2-3, p. 289-290, https://doi.org/10.1016/j.coal.2011.01.001.","productDescription":"2 p.","startPage":"289","endPage":"290","costCenters":[],"links":[{"id":243349,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215538,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.coal.2011.01.001"}],"volume":"86","issue":"2-3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505aa763e4b0c8380cd853b2","contributors":{"authors":[{"text":"Mendonca Filho, J.G.","contributorId":26128,"corporation":false,"usgs":true,"family":"Mendonca Filho","given":"J.G.","affiliations":[],"preferred":false,"id":449257,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Araujo, C.V.","contributorId":36738,"corporation":false,"usgs":true,"family":"Araujo","given":"C.V.","email":"","affiliations":[],"preferred":false,"id":449258,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Borrego, A.G.","contributorId":53583,"corporation":false,"usgs":true,"family":"Borrego","given":"A.G.","email":"","affiliations":[],"preferred":false,"id":449262,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cook, A.","contributorId":88174,"corporation":false,"usgs":true,"family":"Cook","given":"A.","affiliations":[],"preferred":false,"id":449265,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Flores, D.","contributorId":107915,"corporation":false,"usgs":true,"family":"Flores","given":"D.","email":"","affiliations":[],"preferred":false,"id":449269,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hackley, Paul C. 0000-0002-5957-2551 phackley@usgs.gov","orcid":"https://orcid.org/0000-0002-5957-2551","contributorId":592,"corporation":false,"usgs":true,"family":"Hackley","given":"Paul","email":"phackley@usgs.gov","middleInitial":"C.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":449254,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hower, J.C.","contributorId":100541,"corporation":false,"usgs":true,"family":"Hower","given":"J.C.","email":"","affiliations":[],"preferred":false,"id":449268,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kern, M.L.","contributorId":44378,"corporation":false,"usgs":true,"family":"Kern","given":"M.L.","email":"","affiliations":[],"preferred":false,"id":449261,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kommeren, K.","contributorId":17062,"corporation":false,"usgs":true,"family":"Kommeren","given":"K.","email":"","affiliations":[],"preferred":false,"id":449255,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kus, J.","contributorId":98523,"corporation":false,"usgs":true,"family":"Kus","given":"J.","email":"","affiliations":[],"preferred":false,"id":449267,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Mastalerz, Maria","contributorId":78065,"corporation":false,"usgs":true,"family":"Mastalerz","given":"Maria","affiliations":[],"preferred":false,"id":449263,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Mendonca, J.O.","contributorId":82148,"corporation":false,"usgs":true,"family":"Mendonca","given":"J.O.","email":"","affiliations":[],"preferred":false,"id":449264,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Menezes, T.R.","contributorId":23352,"corporation":false,"usgs":true,"family":"Menezes","given":"T.R.","affiliations":[],"preferred":false,"id":449256,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Newman, J.","contributorId":13764,"corporation":false,"usgs":true,"family":"Newman","given":"J.","email":"","affiliations":[],"preferred":false,"id":449253,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Ranasinghe, P.","contributorId":92477,"corporation":false,"usgs":true,"family":"Ranasinghe","given":"P.","affiliations":[],"preferred":false,"id":449266,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Souza, I.V.A.F.","contributorId":42804,"corporation":false,"usgs":true,"family":"Souza","given":"I.V.A.F.","email":"","affiliations":[],"preferred":false,"id":449260,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Suarez-Ruiz, I.","contributorId":10598,"corporation":false,"usgs":true,"family":"Suarez-Ruiz","given":"I.","affiliations":[],"preferred":false,"id":449252,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Ujiie, Y.","contributorId":42053,"corporation":false,"usgs":true,"family":"Ujiie","given":"Y.","email":"","affiliations":[],"preferred":false,"id":449259,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}}
,{"id":70035089,"text":"70035089 - 2011 - Biogeochemistry of microbial coal-bed methane","interactions":[],"lastModifiedDate":"2021-03-01T20:50:29.673391","indexId":"70035089","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":806,"text":"Annual Review of Earth and Planetary Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Biogeochemistry of microbial coal-bed methane","docAbstract":"<p><span>Microbial methane accumulations have been discovered in multiple coal-bearing basins over the past two decades. Such discoveries were originally based on unique biogenic signatures in the stable isotopic composition of methane and carbon dioxide. Basins with microbial methane contain either low-maturity coals with predominantly microbial methane gas or uplifted coals containing older, thermogenic gas mixed with more recently produced microbial methane. Recent advances in genomics have allowed further evaluation of the source of microbial methane, through the use of high-throughput phylogenetic sequencing and fluorescent in situ hybridization, to describe the diversity and abundance of bacteria and methanogenic archaea in these subsurface formations. However, the anaerobic metabolism of the bacteria breaking coal down to methanogenic substrates, the likely rate-limiting step in biogenic gas production, is not fully understood. Coal molecules are more recalcitrant to biodegradation with increasing thermal maturity, and progress has been made in identifying some of the enzymes involved in the anaerobic degradation of these recalcitrant organic molecules using metagenomic studies and culture enrichments. In recent years, researchers have attempted lab and subsurface stimulation of the naturally slow process of methanogenic degradation of coal.</span></p>","language":"English","publisher":"Annual Reviews","doi":"10.1146/annurev-earth-040610-133343","issn":"00846597","usgsCitation":"Strc, D., Mastalerz, M., Dawson, K., MacAlady, J., Callaghan, A., Wawrik, B., Turich, C., and Ashby, M., 2011, Biogeochemistry of microbial coal-bed methane: Annual Review of Earth and Planetary Sciences, v. 39, p. 617-656, https://doi.org/10.1146/annurev-earth-040610-133343.","productDescription":"40 p.","startPage":"617","endPage":"656","costCenters":[],"links":[{"id":243320,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215510,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1146/annurev-earth-040610-133343"}],"volume":"39","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f158e4b0c8380cd4abe4","contributors":{"authors":[{"text":"Strc, D.","contributorId":106764,"corporation":false,"usgs":true,"family":"Strc","given":"D.","email":"","affiliations":[],"preferred":false,"id":449247,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mastalerz, Maria","contributorId":78065,"corporation":false,"usgs":true,"family":"Mastalerz","given":"Maria","affiliations":[],"preferred":false,"id":449240,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dawson, K.","contributorId":93779,"corporation":false,"usgs":true,"family":"Dawson","given":"K.","email":"","affiliations":[],"preferred":false,"id":449244,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"MacAlady, J.","contributorId":99010,"corporation":false,"usgs":true,"family":"MacAlady","given":"J.","affiliations":[],"preferred":false,"id":449245,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Callaghan, A.V.","contributorId":79368,"corporation":false,"usgs":true,"family":"Callaghan","given":"A.V.","email":"","affiliations":[],"preferred":false,"id":449241,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wawrik, B.","contributorId":80471,"corporation":false,"usgs":true,"family":"Wawrik","given":"B.","email":"","affiliations":[],"preferred":false,"id":449242,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Turich, C.","contributorId":106723,"corporation":false,"usgs":true,"family":"Turich","given":"C.","email":"","affiliations":[],"preferred":false,"id":449246,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ashby, M.","contributorId":90182,"corporation":false,"usgs":true,"family":"Ashby","given":"M.","email":"","affiliations":[],"preferred":false,"id":449243,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70035088,"text":"70035088 - 2011 - Glacial flour dust storms in the Gulf of Alaska: hydrologic and meteorological controls and their importance as a source of bioavailable iron","interactions":[],"lastModifiedDate":"2018-05-02T21:30:12","indexId":"70035088","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","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":"Glacial flour dust storms in the Gulf of Alaska: hydrologic and meteorological controls and their importance as a source of bioavailable iron","docAbstract":"Iron is an essential micronutrient that limits primary productivity in much of the ocean, including the Gulf of Alaska (GoA). However, the processes that transport iron to the ocean surface are poorly quantified. We combine satellite and meteorological data to provide the first description of widespread dust transport from coastal Alaska into the GoA. Dust is frequently transported from glacially-derived sediment at the mouths of several rivers, the most prominent of which is the Copper River. These dust events occur most frequently in autumn, when coastal river levels are low and riverbed sediments are exposed. The dust plumes are transported several hundred kilometers beyond the continental shelf into iron-limited waters. We estimate the mass of dust transported from the Copper River valley during one 2006 dust event to be between 25–80 ktons. Based on conservative estimates, this equates to a soluble iron loading of 30–200 tons. We suggest the soluble Fe flux from dust originating in glaciofluvial sediment deposits from the entire GoA coastline is two to three times larger, and is comparable to the annual Fe flux to GoA surface waters from eddies of coastal origin. Given that glaciers are retreating in the coastal GoA region and in other locations, it is important to examine whether fluxes of dust are increasing from glacierized landscapes to the ocean, and to assess the impact of associated Fe on marine ecosystems.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysical Research Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"AGU","doi":"10.1029/2010GL046573","issn":"00948276","usgsCitation":"Crusius, J., Schroth, A., Gasso, S., Moy, C., Levy, R., and Gatica, M., 2011, Glacial flour dust storms in the Gulf of Alaska: hydrologic and meteorological controls and their importance as a source of bioavailable iron: Geophysical Research Letters, v. 38, no. 6, L06602, https://doi.org/10.1029/2010GL046573.","productDescription":"L06602","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":487246,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2010gl046573","text":"Publisher Index Page"},{"id":243288,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215480,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2010GL046573"}],"otherGeospatial":"Gulf Of Alaska","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -170.5,47.0 ], [ -170.5,61.7 ], [ -123.6,61.7 ], [ -123.6,47.0 ], [ -170.5,47.0 ] ] ] } } ] }","volume":"38","issue":"6","noUsgsAuthors":false,"publicationDate":"2011-03-18","publicationStatus":"PW","scienceBaseUri":"505a2901e4b0c8380cd5a5dc","contributors":{"authors":[{"text":"Crusius, John 0000-0003-2554-0831 jcrusius@usgs.gov","orcid":"https://orcid.org/0000-0003-2554-0831","contributorId":2155,"corporation":false,"usgs":true,"family":"Crusius","given":"John","email":"jcrusius@usgs.gov","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":449237,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schroth, A.W.","contributorId":79707,"corporation":false,"usgs":true,"family":"Schroth","given":"A.W.","email":"","affiliations":[],"preferred":false,"id":449238,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gasso, S.","contributorId":28447,"corporation":false,"usgs":true,"family":"Gasso","given":"S.","affiliations":[],"preferred":false,"id":449236,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moy, C.M.","contributorId":81328,"corporation":false,"usgs":true,"family":"Moy","given":"C.M.","email":"","affiliations":[],"preferred":false,"id":449239,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Levy, R.C.","contributorId":11435,"corporation":false,"usgs":true,"family":"Levy","given":"R.C.","email":"","affiliations":[],"preferred":false,"id":449234,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gatica, M.","contributorId":24191,"corporation":false,"usgs":true,"family":"Gatica","given":"M.","affiliations":[],"preferred":false,"id":449235,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70035087,"text":"70035087 - 2011 - Prototyping an online wetland ecosystem services model using open model sharing standards","interactions":[],"lastModifiedDate":"2017-04-06T12:30:28","indexId":"70035087","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1551,"text":"Environmental Modelling and Software","active":true,"publicationSubtype":{"id":10}},"title":"Prototyping an online wetland ecosystem services model using open model sharing standards","docAbstract":"<p><span>Great interest currently exists for developing ecosystem models to forecast how ecosystem services may change under alternative land use and climate futures. Ecosystem services are diverse and include supporting services or functions (e.g., primary production, nutrient cycling), provisioning services (e.g., wildlife, groundwater), regulating services (e.g., water purification, floodwater retention), and even cultural services (e.g., ecotourism, cultural heritage). Hence, the knowledge base necessary to quantify ecosystem services is broad and derived from many diverse scientific disciplines. Building the required interdisciplinary models is especially challenging as modelers from different locations and times may develop the disciplinary models needed for ecosystem simulations, and these models must be identified and made accessible to the interdisciplinary simulation. Additional difficulties include inconsistent data structures, formats, and metadata required by geospatial models as well as limitations on computing, storage, and connectivity. Traditional standalone and closed network systems cannot fully support sharing and integrating interdisciplinary geospatial models from variant sources. To address this need, we developed an approach to openly share and access geospatial computational models using distributed Geographic Information System (GIS) techniques and open geospatial standards. We included a means to share computational models compliant with Open Geospatial Consortium (OGC) Web Processing Services (WPS) standard to ensure modelers have an efficient and simplified means to publish new models. To demonstrate our approach, we developed five disciplinary models that can be integrated and shared to simulate a few of the ecosystem services (e.g., water storage, waterfowl breeding) that are provided by wetlands in the Prairie Pothole Region (PPR) of North America.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.envsoft.2010.10.008","issn":"13648152","usgsCitation":"Feng, M., Liu, S., Euliss, N., Young, C., and Mushet, D., 2011, Prototyping an online wetland ecosystem services model using open model sharing standards: Environmental Modelling and Software, v. 26, no. 4, p. 458-468, https://doi.org/10.1016/j.envsoft.2010.10.008.","productDescription":"11 p.","startPage":"458","endPage":"468","numberOfPages":"11","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":243287,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215479,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.envsoft.2010.10.008"}],"volume":"26","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a8f98e4b0c8380cd7f860","contributors":{"authors":[{"text":"Feng, M.","contributorId":18195,"corporation":false,"usgs":true,"family":"Feng","given":"M.","affiliations":[],"preferred":false,"id":449229,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liu, S.","contributorId":93170,"corporation":false,"usgs":true,"family":"Liu","given":"S.","affiliations":[],"preferred":false,"id":449233,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Euliss, N.H.","contributorId":27836,"corporation":false,"usgs":true,"family":"Euliss","given":"N.H.","affiliations":[],"preferred":false,"id":449230,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Young, Caitlin","contributorId":30181,"corporation":false,"usgs":false,"family":"Young","given":"Caitlin","email":"","affiliations":[],"preferred":false,"id":449231,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mushet, D.M. 0000-0002-5910-2744","orcid":"https://orcid.org/0000-0002-5910-2744","contributorId":59377,"corporation":false,"usgs":true,"family":"Mushet","given":"D.M.","affiliations":[],"preferred":false,"id":449232,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70035086,"text":"70035086 - 2011 - A wavelength-dependent visible and infrared spectrophotometric function for the Moon based on ROLO data","interactions":[],"lastModifiedDate":"2021-03-01T21:01:09.545734","indexId":"70035086","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2317,"text":"Journal of Geophysical Research E: Planets","active":true,"publicationSubtype":{"id":10}},"title":"A wavelength-dependent visible and infrared spectrophotometric function for the Moon based on ROLO data","docAbstract":"<p><span>The USGS's Robotic Lunar Observatory (ROLO) dedicated ground‐based lunar calibration project obtained photometric observations of the Moon over the spectral range attainable from Earth (0.347–2.39&nbsp;</span><i>μ</i><span>m) and over solar phase angles of 1.55°–97°. From these observations, we derived empirical lunar surface solar phase functions for both the highlands and maria that can be used for a wide range of applications. The functions can be used to correct for the effects of viewing geometry to produce lunar mosaics, spectra, and quick‐look products for future lunar missions and ground‐based observations. Our methodology can be used for a wide range of objects for which multiply scattered radiation is not significant, including all but the very brightest asteroids and moons.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2010JE003724","issn":"01480227","usgsCitation":"Buratti, B.J., Hicks, M., Nettles, J., Staid, M., Pieters, C., Sunshine, J., Boardman, J., and Stone, T., 2011, A wavelength-dependent visible and infrared spectrophotometric function for the Moon based on ROLO data: Journal of Geophysical Research E: Planets, v. 116, no. 4, E00G03, 8 p., https://doi.org/10.1029/2010JE003724.","productDescription":"E00G03, 8 p.","costCenters":[],"links":[{"id":475176,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2010je003724","text":"Publisher Index Page"},{"id":243255,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215448,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2010JE003724"}],"volume":"116","issue":"4","noUsgsAuthors":false,"publicationDate":"2011-04-05","publicationStatus":"PW","scienceBaseUri":"5059e61ce4b0c8380cd47180","contributors":{"authors":[{"text":"Buratti, B. J.","contributorId":69280,"corporation":false,"usgs":false,"family":"Buratti","given":"B.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":449225,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hicks, M.D.","contributorId":7045,"corporation":false,"usgs":true,"family":"Hicks","given":"M.D.","email":"","affiliations":[],"preferred":false,"id":449221,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nettles, J.","contributorId":108340,"corporation":false,"usgs":true,"family":"Nettles","given":"J.","email":"","affiliations":[],"preferred":false,"id":449228,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Staid, M.","contributorId":68561,"corporation":false,"usgs":true,"family":"Staid","given":"M.","email":"","affiliations":[],"preferred":false,"id":449224,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pieters, C.M.","contributorId":48733,"corporation":false,"usgs":true,"family":"Pieters","given":"C.M.","email":"","affiliations":[{"id":16929,"text":"Brown University","active":true,"usgs":false}],"preferred":false,"id":449223,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sunshine, J.","contributorId":19812,"corporation":false,"usgs":true,"family":"Sunshine","given":"J.","email":"","affiliations":[],"preferred":false,"id":449222,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Boardman, J.","contributorId":74184,"corporation":false,"usgs":true,"family":"Boardman","given":"J.","affiliations":[],"preferred":false,"id":449226,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Stone, Thomas C. tstone@usgs.gov","contributorId":3176,"corporation":false,"usgs":true,"family":"Stone","given":"Thomas C.","email":"tstone@usgs.gov","affiliations":[],"preferred":true,"id":449227,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70035057,"text":"70035057 - 2011 - Climate change, atmospheric rivers, and floods in California - a multimodel analysis of storm frequency and magnitude changes","interactions":[],"lastModifiedDate":"2021-03-02T19:02:29.171143","indexId":"70035057","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Climate change, atmospheric rivers, and floods in California - a multimodel analysis of storm frequency and magnitude changes","docAbstract":"<p><span>Recent studies have documented the important role that “atmospheric rivers” (ARs) of concentrated near‐surface water vapor above the Pacific Ocean play in the storms and floods in California, Oregon, and Washington. By delivering large masses of warm, moist air (sometimes directly from the Tropics), ARs establish conditions for the kinds of high snowlines and copious orographic rainfall that have caused the largest historical storms. In many California rivers, essentially all major historical floods have been associated with AR storms. As an example of the kinds of storm changes that may influence future flood frequencies, the occurrence of such storms in historical observations and in a 7‐model ensemble of historical‐climate and projected future climate simulations is evaluated. Under an A2 greenhouse‐gas emissions scenario (with emissions accelerating throughout the 21st Century), average AR statistics do not change much in most climate models; however, extremes change notably. Years with many AR episodes increase, ARs with higher‐than‐historical water‐vapor transport rates increase, and AR storm‐temperatures increase. Furthermore, the peak season within which most ARs occur is commonly projected to lengthen, extending the flood‐hazard season. All of these tendencies could increase opportunities for both more frequent and more severe floods in California under projected climate changes.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/j.1752-1688.2011.00546.x","issn":"1093474X","usgsCitation":"Dettinger, M.D., 2011, Climate change, atmospheric rivers, and floods in California - a multimodel analysis of storm frequency and magnitude changes: Journal of the American Water Resources Association, v. 47, no. 3, p. 514-523, https://doi.org/10.1111/j.1752-1688.2011.00546.x.","productDescription":"10 p.","startPage":"514","endPage":"523","costCenters":[],"links":[{"id":243286,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215478,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1752-1688.2011.00546.x"}],"country":"United States","state":"California","otherGeospatial":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -119.92675781249999,\n              39.13006024213511\n            ],\n            [\n              -120.05859375,\n              42.032974332441405\n            ],\n            [\n              -124.4091796875,\n              42.00032514831621\n            ],\n            [\n              -124.62890625,\n              40.3130432088809\n            ],\n            [\n              -123.837890625,\n              38.61687046392973\n            ],\n            [\n              -122.6953125,\n              37.64903402157866\n            ],\n            [\n              -122.25585937500001,\n              36.77409249464195\n            ],\n            [\n              -121.37695312499999,\n              35.38904996691167\n            ],\n            [\n              -120.673828125,\n              34.27083595165\n            ],\n            [\n              -119.970703125,\n              33.7243396617476\n            ],\n            [\n              -117.68554687499999,\n              32.84267363195431\n            ],\n            [\n              -117.1142578125,\n              32.54681317351514\n            ],\n            [\n              -114.47753906249999,\n              32.84267363195431\n            ],\n            [\n              -114.2578125,\n              35.31736632923788\n            ],\n            [\n              -119.92675781249999,\n              39.13006024213511\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"47","issue":"3","noUsgsAuthors":false,"publicationDate":"2011-06-01","publicationStatus":"PW","scienceBaseUri":"5059f64fe4b0c8380cd4c69d","contributors":{"authors":[{"text":"Dettinger, Michael D. 0000-0002-7509-7332 mddettin@usgs.gov","orcid":"https://orcid.org/0000-0002-7509-7332","contributorId":149896,"corporation":false,"usgs":true,"family":"Dettinger","given":"Michael","email":"mddettin@usgs.gov","middleInitial":"D.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","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":449074,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70035055,"text":"70035055 - 2011 - Pennsylvanian coniferopsid forests in sabkha facies reveal the nature of seasonal tropical biome","interactions":[],"lastModifiedDate":"2021-03-02T19:52:43.832278","indexId":"70035055","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Pennsylvanian coniferopsid forests in sabkha facies reveal the nature of seasonal tropical biome","docAbstract":"<p><span>Pennsylvanian fossil forests are known from hundreds of sites across tropical Pangea, but nearly all comprise remains of humid Coal Forests. Here we report a unique occurrence of seasonally dry vegetation, preserved in growth position along &gt;5 km of strike, in the Pennsylvanian (early Kasimovian, Missourian) of New Mexico (United States). Analyses of stump anatomy, diameter, and spatial density, coupled with observations of vascular traces and associated megaflora, show that this was a deciduous, mixed-age, coniferopsid woodland (∼100 trees per hectare) with an open canopy. The coniferopsids colonized coastal sabkha facies and show tree rings, confirming growth under seasonally dry conditions. Such woodlands probably served as the source of coniferopsids that replaced Coal Forests farther east in central Pangea during drier climate phases. Thus, the newly discovered woodland helps unravel biome-scale vegetation dynamics and allows calibration of climate models.</span></p>","language":"English","publisher":"Geological Society of America.","doi":"10.1130/G31764.1","issn":"00917613","usgsCitation":"Falcon-Lang, H.J., Jud, N., John, N.W., DiMichele, W.A., Chaney, D., and Lucas, S.G., 2011, Pennsylvanian coniferopsid forests in sabkha facies reveal the nature of seasonal tropical biome: Geology, v. 39, no. 4, p. 371-374, https://doi.org/10.1130/G31764.1.","productDescription":"4 p.","startPage":"371","endPage":"374","costCenters":[],"links":[{"id":243253,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215446,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/G31764.1"}],"country":"United States","state":"New Mexico","county":"Socorro","otherGeospatial":"New Mexico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -107.852783203125,\n              33.578014746143985\n            ],\n            [\n              -106.01806640624999,\n              33.578014746143985\n            ],\n            [\n              -106.01806640624999,\n              34.72355492704221\n            ],\n            [\n              -107.852783203125,\n              34.72355492704221\n            ],\n            [\n              -107.852783203125,\n              33.578014746143985\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"39","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a7653e4b0c8380cd7804d","contributors":{"authors":[{"text":"Falcon-Lang, H. J.","contributorId":41220,"corporation":false,"usgs":true,"family":"Falcon-Lang","given":"H.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":449064,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jud, N.A.","contributorId":97727,"corporation":false,"usgs":true,"family":"Jud","given":"N.A.","email":"","affiliations":[],"preferred":false,"id":449068,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"John, Nelson W.","contributorId":34348,"corporation":false,"usgs":true,"family":"John","given":"Nelson","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":449063,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DiMichele, William A.","contributorId":97631,"corporation":false,"usgs":true,"family":"DiMichele","given":"William","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":449067,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chaney, D.S.","contributorId":47106,"corporation":false,"usgs":true,"family":"Chaney","given":"D.S.","email":"","affiliations":[],"preferred":false,"id":449065,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lucas, S. G.","contributorId":76934,"corporation":false,"usgs":true,"family":"Lucas","given":"S.","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":449066,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70035054,"text":"70035054 - 2011 - Rapid reaction of nanomolar Mn(II) with superoxide radical in seawater and simulated freshwater","interactions":[],"lastModifiedDate":"2021-03-02T20:06:50.512484","indexId":"70035054","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Rapid reaction of nanomolar Mn(II) with superoxide radical in seawater and simulated freshwater","docAbstract":"<p><span>Superoxide radical (O</span><sub>2</sub><sup>−</sup><span>) has been proposed to be an important participant in oxidation−reduction reactions of metal ions in natural waters. Here, we studied the reaction of nanomolar Mn(II) with O</span><sub>2</sub><sup>−</sup><span>&nbsp;in seawater and simulated freshwater, using chemiluminescence detection of O</span><sub>2</sub><sup>−</sup><span>&nbsp;to quantify the effect of Mn(II) on the decay kinetics of O</span><sub>2</sub><sup>−</sup><span>. With 3−24 nM added [Mn(II)] and &lt;0.7 nM [O</span><sub>2</sub><sup>−</sup><span>], we observed effective second-order rate constants for the reaction of Mn(II) with O</span><sub>2</sub><sup>−</sup><span>&nbsp;of 6 × 10</span><sup>6</sup><span>&nbsp;to 1 × 10</span><sup>7</sup><span>&nbsp;M</span><sup>−1</sup><span>·s</span><sup>−1</sup><span>&nbsp;in various seawater samples. In simulated freshwater (pH 8.6), the effective rate constant of Mn(II) reaction with O</span><sub>2</sub><sup>−</sup><span>&nbsp;was somewhat lower, 1.6 × 10</span><sup>6</sup><span>&nbsp;M</span><sup>−1</sup><span>·s</span><sup>−1</sup><span>. With higher initial [O</span><sub>2</sub><sup>−</sup><span>], in excess of added [Mn(II)], catalytic decay of O</span><sub>2</sub><sup>−</sup><span>&nbsp;by Mn was observed, implying that a Mn(II/III) redox cycle occurred. Our results show that reactions with nanomolar Mn(II) could be an important sink of O</span><sub>2</sub><sup>−</sup><span>&nbsp;in natural waters. In addition, reaction of Mn(II) with superoxide could maintain a significant fraction of dissolved Mn in the +III oxidation state.</span></p>","language":"English","publisher":"American Chemical Society","doi":"10.1021/es104014s","issn":"0013936X","usgsCitation":"Hansard, S., Easter, H., and Voelker, B.M., 2011, Rapid reaction of nanomolar Mn(II) with superoxide radical in seawater and simulated freshwater: Environmental Science & Technology, v. 45, no. 7, p. 2811-2817, https://doi.org/10.1021/es104014s.","productDescription":"7 p.","startPage":"2811","endPage":"2817","costCenters":[],"links":[{"id":243252,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215445,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es104014s"}],"volume":"45","issue":"7","noUsgsAuthors":false,"publicationDate":"2011-03-04","publicationStatus":"PW","scienceBaseUri":"505a94fbe4b0c8380cd8172e","contributors":{"authors":[{"text":"Hansard, S.P.","contributorId":19391,"corporation":false,"usgs":true,"family":"Hansard","given":"S.P.","email":"","affiliations":[],"preferred":false,"id":449060,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Easter, H.D.","contributorId":107123,"corporation":false,"usgs":true,"family":"Easter","given":"H.D.","email":"","affiliations":[],"preferred":false,"id":449062,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Voelker, Bettina M.","contributorId":74914,"corporation":false,"usgs":false,"family":"Voelker","given":"Bettina","email":"","middleInitial":"M.","affiliations":[{"id":12444,"text":"Massachusetts Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":449061,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70035053,"text":"70035053 - 2011 - Quantifying seascape structure: Extending terrestrial spatial pattern metrics to the marine realm","interactions":[],"lastModifiedDate":"2021-03-02T20:14:16.998241","indexId":"70035053","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2663,"text":"Marine Ecology Progress Series","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying seascape structure: Extending terrestrial spatial pattern metrics to the marine realm","docAbstract":"<p><span>Spatial pattern metrics have routinely been applied to characterize and quantify structural features of terrestrial landscapes and have demonstrated great utility in landscape ecology and conservation planning. The important role of spatial structure in ecology and management is now commonly recognized, and recent advances in marine remote sensing technology have facilitated the application of spatial pattern metrics to the marine environment. However, it is not yet clear whether concepts, metrics, and statistical techniques developed for terrestrial ecosystems are relevant for marine species and seascapes. To address this gap in our knowledge, we reviewed, synthesized, and evaluated the utility and application of spatial pattern metrics in the marine science literature over the past 30 yr (1980 to 2010). In total, 23 studies characterized seascape structure, of which 17 quantified spatial patterns using a 2-dimensional patch-mosaic model and 5 used a continuously varying 3-dimensional surface model. Most seascape studies followed terrestrial-based studies in their search for ecological patterns and applied or modified existing metrics. Only 1 truly unique metric was found (hydrodynamic aperture applied to Pacific atolls). While there are still relatively few studies using spatial pattern metrics in the marine environment, they have suffered from similar misuse as reported for terrestrial studies, such as the lack of&nbsp;</span><i>a priori</i><span>&nbsp;considerations or the problem of collinearity between metrics. Spatial pattern metrics offer great potential for ecological research and environmental management in marine systems, and future studies should focus on (1) the dynamic boundary between the land and sea; (2) quantifying 3-dimensional spatial patterns; and (3) assessing and monitoring seascape change.</span></p>","language":"English","publisher":"Inter-Research Science Publisher","doi":"10.3354/meps09119","issn":"01718630","usgsCitation":"Wedding, L., Christopher, L., Pittman, S., Friedlander, A.M., and Jorgensen, S., 2011, Quantifying seascape structure: Extending terrestrial spatial pattern metrics to the marine realm: Marine Ecology Progress Series, v. 427, p. 219-232, https://doi.org/10.3354/meps09119.","productDescription":"14 p.","startPage":"219","endPage":"232","costCenters":[],"links":[{"id":475057,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/meps09119","text":"Publisher Index Page"},{"id":243220,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215414,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3354/meps09119"}],"volume":"427","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a91dce4b0c8380cd804e6","contributors":{"authors":[{"text":"Wedding, L.M.","contributorId":46786,"corporation":false,"usgs":true,"family":"Wedding","given":"L.M.","affiliations":[],"preferred":false,"id":449057,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Christopher, L.A.","contributorId":18194,"corporation":false,"usgs":true,"family":"Christopher","given":"L.A.","email":"","affiliations":[],"preferred":false,"id":449055,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pittman, S.J.","contributorId":88173,"corporation":false,"usgs":true,"family":"Pittman","given":"S.J.","email":"","affiliations":[],"preferred":false,"id":449059,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Friedlander, Alan M. afriedlander@usgs.gov","contributorId":4296,"corporation":false,"usgs":true,"family":"Friedlander","given":"Alan","email":"afriedlander@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":false,"id":449056,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jorgensen, S.","contributorId":67301,"corporation":false,"usgs":true,"family":"Jorgensen","given":"S.","affiliations":[],"preferred":false,"id":449058,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70035052,"text":"70035052 - 2011 - Dietary calcein marking of shovelnose sturgeon and the effect of sunlight on mark retention","interactions":[],"lastModifiedDate":"2021-03-02T20:42:31.009722","indexId":"70035052","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2885,"text":"North American Journal of Aquaculture","active":true,"publicationSubtype":{"id":10}},"title":"Dietary calcein marking of shovelnose sturgeon and the effect of sunlight on mark retention","docAbstract":"<p><span>Calcein, a fluorochrome dye, is a potential fish‐marking agent that has not been evaluated in sturgeon. Shovelnose sturgeon&nbsp;</span><i>Scaphirhynchus platorynchus</i><span>&nbsp;(average weight, 9.7 g) were fed calcein, immersed in a calcein bath, or left unmarked to determine calcein mark intensity. In the first study, six treatments were evaluated in a two‐by‐three factorial arrangement. Feed was formulated with 2.0 g of SE‐MARK/kg either as powder or in an encapsulated form. Sturgeon were fed the test diets for 5, 10, or 15 d. They readily ate feed containing powdered or encapsulated calcein. Sturgeon fed powdered calcein had more brilliant marks than those fed encapsulated calcein (8.27 versus 4.66 lm;&nbsp;</span><i>P</i><span>&nbsp;&lt; 0.03) 6 months postexposure. Fish fed calcein for 15 d (11.26 lm) were more brilliant (</span><i>P</i><span>&nbsp;&lt; 0.002) than fish fed for either 5 d (3.02 lm) or 10 d (5.11 lm). Post hoc comparison of the three treatment groups showed that sturgeon fed powdered calcein for 15 d (14.06 lm) were brighter (</span><i>P</i><span>&nbsp;&lt; 0.01) than fish fed encapsulated calcein (8.46 lm) or fish immersed in calcein (9.68 lm). In the second study, previously marked sturgeon were exposed to sunlight for 14 months to determine their retention of calcein marks. Dorsal marks were no longer visible on fish exposed to 100% sunlight after 8 weeks. Most but not all fish exposed to 20% sunlight had no discernable dorsal marks after 8 weeks, but ventral marks at the pectoral fin girdle were present on all fish in the 0% and 20% sunlight exposure treatments. Feeding calcein for 15 d appears to have excellent potential for practical application, such as distinguishing hatchery‐reared from wild fish. Ventral calcein marks remained visible after 14 months of exposure to 20% sunlight when sturgeon were reared in clear water.</span></p>","language":"English","publisher":"American Fisheries Society","doi":"10.1080/15222055.2011.559869","issn":"15222055","usgsCitation":"Honeyfield, D., Kindschi, G.A., Bell, T., and Mohler, J., 2011, Dietary calcein marking of shovelnose sturgeon and the effect of sunlight on mark retention: North American Journal of Aquaculture, v. 73, no. 2, p. 129-134, https://doi.org/10.1080/15222055.2011.559869.","productDescription":"6 p.","startPage":"129","endPage":"134","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":243219,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215413,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/15222055.2011.559869"}],"volume":"73","issue":"2","noUsgsAuthors":false,"publicationDate":"2011-03-09","publicationStatus":"PW","scienceBaseUri":"505a00dce4b0c8380cd4f96c","contributors":{"authors":[{"text":"Honeyfield, D. C. 0000-0003-3034-2047","orcid":"https://orcid.org/0000-0003-3034-2047","contributorId":73136,"corporation":false,"usgs":true,"family":"Honeyfield","given":"D. C.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":449053,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kindschi, G. A.","contributorId":30947,"corporation":false,"usgs":true,"family":"Kindschi","given":"G.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":449051,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bell, T.A.","contributorId":76152,"corporation":false,"usgs":true,"family":"Bell","given":"T.A.","email":"","affiliations":[],"preferred":false,"id":449054,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mohler, J.W.","contributorId":51697,"corporation":false,"usgs":true,"family":"Mohler","given":"J.W.","email":"","affiliations":[],"preferred":false,"id":449052,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70034933,"text":"70034933 - 2011 - Adaptive management of natural resources-framework and issues","interactions":[],"lastModifiedDate":"2021-03-08T17:30:35.709623","indexId":"70034933","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Adaptive management of natural resources-framework and issues","docAbstract":"<p><span>Adaptive management, an approach for simultaneously managing and learning about natural resources, has been around for several decades. Interest in adaptive decision making has grown steadily over that time, and by now many in&nbsp;</span><a title=\"Learn more about Natural Resource Conservation from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/natural-resource-conservation\" data-mce-href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/natural-resource-conservation\">natural resources conservation</a><span>&nbsp;claim that adaptive management is the approach they use in meeting their resource management responsibilities. Yet there remains considerable ambiguity about what adaptive management actually is, and how it is to be implemented by practitioners. The objective of this paper is to present a framework and conditions for adaptive decision making, and discuss some important challenges in its application. Adaptive management is described as a two-phase process of deliberative and iterative phases, which are implemented sequentially over the timeframe of an application. Key elements, processes, and issues in adaptive decision making are highlighted in terms of this framework. Special emphasis is given to the question of geographic scale, the difficulties presented by non-stationarity, and organizational challenges in implementing adaptive management.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2010.10.041","issn":"03014797","usgsCitation":"Williams, B.K., 2011, Adaptive management of natural resources-framework and issues: Journal of Environmental Management, v. 92, no. 5, p. 1346-1353, https://doi.org/10.1016/j.jenvman.2010.10.041.","productDescription":"8 p.","startPage":"1346","endPage":"1353","costCenters":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"links":[{"id":243806,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215969,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jenvman.2010.10.041"}],"volume":"92","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e6e5e4b0c8380cd476ef","contributors":{"authors":[{"text":"Williams, Byron K. 0000-0001-7644-1396","orcid":"https://orcid.org/0000-0001-7644-1396","contributorId":207067,"corporation":false,"usgs":true,"family":"Williams","given":"Byron","email":"","middleInitial":"K.","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":true,"id":448386,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70034907,"text":"70034907 - 2011 - The path to a successful one-million tonne demonstration of geological sequestration: Characterization, cooperation, and collaboration","interactions":[],"lastModifiedDate":"2021-03-08T20:12:37.233188","indexId":"70034907","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"The path to a successful one-million tonne demonstration of geological sequestration: Characterization, cooperation, and collaboration","docAbstract":"<p><span>The development of the Illinois Basin-Decatur USA test site for a 1&nbsp;million tonne injection of CO</span><sub>2</sub><span>&nbsp;into the Mount Simon Sandstone saline reservoir beginning in 2011 has been a multiphase process requiring a wide array of personnel and resources that began in 2003. The process of regional characterization took two years as part of a Phase I effort focused on the entire Illinois Basin, located in Illinois, Indiana, and Kentucky, USA. Seeking the cooperation of an industrial source of CO</span><sub>2</sub><span>&nbsp;and site selection within the Basin took place during Phase II while most of the concurrent research emphasis was on a set of small-scale tests of Enhanced Oil Recovery (EOR) and CO</span><sub>2</sub><span>&nbsp;injection into a coal seam. Phase III began the commitment to the 1&nbsp;million-tonne test site development through the collaboration of the Archer Daniels Midland Company (ADM) who is providing a site, the CO</span><sub>2</sub><span>, and developing a compression facility, of Schlumberger Carbon Services who is providing expertise for operations, drilling, geophysics, risk assessment, and reservoir modelling, and of the Illinois State Geological Survey (ISGS) whose geologists and engineers lead the Midwest Geological Sequestration Consortium (MGSC). Communications and outreach has been a collaborative effort of ADM, ISGS and Schlumberger Carbon Services. The Consortium is one of the seven Regional Carbon Sequestration Partnerships, a carbon sequestration research program supported by the National Energy Technology Laboratory of the U.S. Department of Energy.</span></p>","largerWorkTitle":"Energy Procedia","conferenceTitle":"10th International Conference on Greenhouse Gas Control Technologies","conferenceDate":"September, 19-23, 2010","conferenceLocation":"Amsterdam","language":"English","publisher":"Elsevier","doi":"10.1016/j.egypro.2011.02.441","issn":"18766102","usgsCitation":"Finley, R., Greenberg, S., Frailey, S., Krapac, I., Leetaru, H., and Marsteller, S., 2011, The path to a successful one-million tonne demonstration of geological sequestration: Characterization, cooperation, and collaboration, <i>in</i> Energy Procedia, v. 4, Amsterdam, September, 19-23, 2010, p. 4770-4776, https://doi.org/10.1016/j.egypro.2011.02.441.","productDescription":"7 p.","startPage":"4770","endPage":"4776","costCenters":[],"links":[{"id":487844,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.egypro.2011.02.441","text":"Publisher Index Page"},{"id":243396,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215582,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.egypro.2011.02.441"}],"country":"United States","state":"Illinois","otherGeospatial":"Illinois Basin-Decatur","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -89.197998046875,\n              39.60145584096999\n            ],\n            [\n              -88.648681640625,\n              39.60145584096999\n            ],\n            [\n              -88.648681640625,\n              40.065460682065535\n            ],\n            [\n              -89.197998046875,\n              40.065460682065535\n            ],\n            [\n              -89.197998046875,\n              39.60145584096999\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bae80e4b08c986b324140","contributors":{"authors":[{"text":"Finley, R.J.","contributorId":70984,"corporation":false,"usgs":true,"family":"Finley","given":"R.J.","email":"","affiliations":[],"preferred":false,"id":448265,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Greenberg, S.E.","contributorId":56441,"corporation":false,"usgs":true,"family":"Greenberg","given":"S.E.","email":"","affiliations":[],"preferred":false,"id":448264,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Frailey, S.M.","contributorId":93263,"corporation":false,"usgs":true,"family":"Frailey","given":"S.M.","email":"","affiliations":[],"preferred":false,"id":448266,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Krapac, I.G.","contributorId":33850,"corporation":false,"usgs":true,"family":"Krapac","given":"I.G.","email":"","affiliations":[],"preferred":false,"id":448262,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Leetaru, H.E.","contributorId":47123,"corporation":false,"usgs":true,"family":"Leetaru","given":"H.E.","email":"","affiliations":[],"preferred":false,"id":448263,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Marsteller, S.","contributorId":27288,"corporation":false,"usgs":true,"family":"Marsteller","given":"S.","email":"","affiliations":[],"preferred":false,"id":448261,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70034906,"text":"70034906 - 2011 - Dispersal and behavior of Pacific halibut Hippoglossus stenolepis in the Bering Sea and Aleutian Islands region","interactions":[],"lastModifiedDate":"2021-03-08T20:40:08.694304","indexId":"70034906","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":860,"text":"Aquatic Biology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Dispersal and behavior of Pacific halibut <i>hippoglossus stenolepis</i> in the Bering Sea and Aleutian islands region","title":"Dispersal and behavior of Pacific halibut Hippoglossus stenolepis in the Bering Sea and Aleutian Islands region","docAbstract":"<p class=\"abstract_block\">Currently, it is assumed that eastern Pacific halibut<span>&nbsp;</span><i>Hippoglossus stenolepis</i><span>&nbsp;</span>belong to a&nbsp;single, fully mixed population extending from California through the Bering Sea, in which adult ­halibut disperse randomly throughout their range during their lifetime. However, we hypothesize that hali­but dispersal is more complex than currently assumed and is not spatially random. To test this hypo­thesis, we studied the seasonal dispersal and behavior of Pacific halibut in the Bering Sea and Aleutian Islands (BSAI). Pop-up Archival Transmitting tags attached to halibut (82 to 154 cm fork length) during the summer provided no evidence that individuals moved out of the Bering Sea and Aleutian Islands region into the Gulf of Alaska during the mid-winter spawning season, supporting the concept that this region contains a separate spawning group of adult halibut. There was evidence for geographically localized groups of halibut along the Aleutian Island chain, as all of the individuals tagged there displayed residency, with their movements possibly impeded by tidal currents in the passes between islands. Mid-winter aggregation areas of halibut are assumed to be spawning grounds, of which 2 were previously unidentified and extend the species’ presumed spawning range ~1000 km west and ~600 km north of the nearest documented spawning area. If there are indeed&nbsp; independent spawning groups of Pacific halibut in the BSAI, their dynamics may vary sufficiently from those of the Gulf of Alaska, so that specifically accounting for their relative segregation and unique ­dynamics within the larger population model will be necessary for correctly predicting how these components may respond to fishing pressure and changing environmental conditions.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Aquatic Biology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Inter-Research Science Publisher","doi":"10.3354/ab00333","issn":"18647782","usgsCitation":"Seitz, A., Loher, T., Norcross, B.L., and Nielsen, J.L., 2011, Dispersal and behavior of Pacific halibut Hippoglossus stenolepis in the Bering Sea and Aleutian Islands region: Aquatic Biology, v. 12, no. 3, p. 225-239, https://doi.org/10.3354/ab00333.","productDescription":"15 p.","startPage":"225","endPage":"239","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":475205,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/ab00333","text":"Publisher Index Page"},{"id":243868,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216029,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3354/ab00333"}],"country":"United States","state":"Alaska","otherGeospatial":"Bering Sea and Aleutian Islands","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -179.82421875,\n              49.83798245308484\n            ],\n            [\n              -159.521484375,\n              49.83798245308484\n            ],\n            [\n              -159.521484375,\n              59.489726035537075\n            ],\n            [\n              -179.82421875,\n              59.489726035537075\n            ],\n            [\n              -179.82421875,\n              49.83798245308484\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"12","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0217e4b0c8380cd4fe9e","contributors":{"authors":[{"text":"Seitz, A.C.","contributorId":71756,"corporation":false,"usgs":true,"family":"Seitz","given":"A.C.","email":"","affiliations":[],"preferred":false,"id":448259,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loher, Timothy","contributorId":26130,"corporation":false,"usgs":false,"family":"Loher","given":"Timothy","email":"","affiliations":[{"id":33614,"text":"International Pacific Halibut Comission","active":true,"usgs":false}],"preferred":false,"id":448258,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Norcross, Brenda L.","contributorId":21497,"corporation":false,"usgs":false,"family":"Norcross","given":"Brenda","email":"","middleInitial":"L.","affiliations":[{"id":7211,"text":"University of Alaska, Fairbanks","active":true,"usgs":false}],"preferred":false,"id":448257,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nielsen, Jennifer L.","contributorId":43722,"corporation":false,"usgs":true,"family":"Nielsen","given":"Jennifer","email":"","middleInitial":"L.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":448260,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70034905,"text":"70034905 - 2011 - Multiscale site-response mapping: A case study of Parkfield, California","interactions":[],"lastModifiedDate":"2012-03-12T17:21:41","indexId":"70034905","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Multiscale site-response mapping: A case study of Parkfield, California","docAbstract":"The scale of previously proposed methods for mapping site-response ranges from global coverage down to individual urban regions. Typically, spatial coverage and accuracy are inversely related.We use the densely spaced strong-motion stations in Parkfield, California, to estimate the accuracy of different site-response mapping methods and demonstrate a method for integrating multiple site-response estimates from the site to the global scale. This method is simply a weighted mean of a suite of different estimates, where the weights are the inverse of the variance of the individual estimates. Thus, the dominant site-response model varies in space as a function of the accuracy of the different models. For mapping applications, site-response models should be judged in terms of both spatial coverage and the degree of correlation with observed amplifications. Performance varies with period, but in general the Parkfield data show that: (1) where a velocity profile is available, the square-rootof- impedance (SRI) method outperforms the measured VS30 (30 m divided by the S-wave travel time to 30 m depth) and (2) where velocity profiles are unavailable, the topographic slope method outperforms surficial geology for short periods, but geology outperforms slope at longer periods. We develop new equations to estimate site response from topographic slope, derived from the Next Generation Attenuation (NGA) database.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of the Seismological Society of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1785/0120100211","issn":"00371106","usgsCitation":"Thompson, E., Baise, L., Kayen, R.E., Morgan, E., and Kaklamanos, J., 2011, Multiscale site-response mapping: A case study of Parkfield, California: Bulletin of the Seismological Society of America, v. 101, no. 3, p. 1081-1100, https://doi.org/10.1785/0120100211.","startPage":"1081","endPage":"1100","numberOfPages":"20","costCenters":[],"links":[{"id":216028,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1785/0120100211"},{"id":243867,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"101","issue":"3","noUsgsAuthors":false,"publicationDate":"2011-05-29","publicationStatus":"PW","scienceBaseUri":"505a609ce4b0c8380cd71597","contributors":{"authors":[{"text":"Thompson, E.M.","contributorId":104688,"corporation":false,"usgs":true,"family":"Thompson","given":"E.M.","affiliations":[],"preferred":false,"id":448256,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baise, L.G.","contributorId":6239,"corporation":false,"usgs":true,"family":"Baise","given":"L.G.","affiliations":[],"preferred":false,"id":448252,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kayen, R. E.","contributorId":14424,"corporation":false,"usgs":true,"family":"Kayen","given":"R.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":448253,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Morgan, E.C.","contributorId":66509,"corporation":false,"usgs":true,"family":"Morgan","given":"E.C.","email":"","affiliations":[],"preferred":false,"id":448255,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kaklamanos, J.","contributorId":38383,"corporation":false,"usgs":true,"family":"Kaklamanos","given":"J.","affiliations":[],"preferred":false,"id":448254,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70034904,"text":"70034904 - 2011 - Conservation in the face of climate change: The roles of alternative models, monitoring, and adaptation in confronting and reducing uncertainty","interactions":[],"lastModifiedDate":"2021-03-08T21:03:51.911092","indexId":"70034904","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Conservation in the face of climate change: The roles of alternative models, monitoring, and adaptation in confronting and reducing uncertainty","docAbstract":"<p><span>The broad physical and biological principles behind climate change and its potential large scale ecological impacts on biota are fairly well understood, although likely responses of biotic communities at fine spatio-temporal scales are not, limiting the ability of conservation programs to respond effectively to climate change outside the range of human experience. Much of the climate debate has focused on attempts to resolve key uncertainties in a hypothesis-testing framework. However, conservation decisions cannot await resolution of these scientific issues and instead must proceed in the face of uncertainty. We suggest that conservation should precede in an adaptive management framework, in which decisions are guided by predictions under multiple, plausible hypotheses about climate impacts. Under this plan, monitoring is used to evaluate the response of the system to climate drivers, and management actions (perhaps experimental) are used to confront testable predictions with data, in turn providing feedback for future decision making. We illustrate these principles with the problem of mitigating the effects of climate change on terrestrial bird communities in the southern Appalachian Mountains, USA.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2010.10.019","issn":"00063207","usgsCitation":"Conroy, M., Runge, M.C., Nichols, J.D., Stodola, K., and Cooper, R., 2011, Conservation in the face of climate change: The roles of alternative models, monitoring, and adaptation in confronting and reducing uncertainty: Biological Conservation, v. 144, no. 4, p. 1204-1213, https://doi.org/10.1016/j.biocon.2010.10.019.","productDescription":"10 p.","startPage":"1204","endPage":"1213","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":243835,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215996,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.biocon.2010.10.019"}],"country":"United States","otherGeospatial":"Southern Appalachian Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -85.4296875,\n              35.02999636902566\n            ],\n            [\n              -82.96875,\n              33.211116472416855\n            ],\n            [\n              -75.76171875,\n              41.31082388091818\n            ],\n            [\n              -75.146484375,\n              42.87596410238256\n            ],\n            [\n              -78.662109375,\n              43.068887774169625\n            ],\n            [\n              -83.84765625,\n              37.37015718405753\n            ],\n            [\n              -85.4296875,\n              35.02999636902566\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"144","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f9dde4b0c8380cd4d815","contributors":{"authors":[{"text":"Conroy, M.J.","contributorId":84690,"corporation":false,"usgs":true,"family":"Conroy","given":"M.J.","email":"","affiliations":[],"preferred":false,"id":448250,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":448249,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nichols, James D. 0000-0002-7631-2890 jnichols@usgs.gov","orcid":"https://orcid.org/0000-0002-7631-2890","contributorId":200533,"corporation":false,"usgs":true,"family":"Nichols","given":"James","email":"jnichols@usgs.gov","middleInitial":"D.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":448247,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stodola, K.W.","contributorId":19804,"corporation":false,"usgs":true,"family":"Stodola","given":"K.W.","email":"","affiliations":[],"preferred":false,"id":448248,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cooper, R.J.","contributorId":89077,"corporation":false,"usgs":true,"family":"Cooper","given":"R.J.","email":"","affiliations":[],"preferred":false,"id":448251,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70034903,"text":"70034903 - 2011 - Rayleigh-based, multi-element coral thermometry: A biomineralization approach to developing climate proxies","interactions":[],"lastModifiedDate":"2018-05-02T21:29:59","indexId":"70034903","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"title":"Rayleigh-based, multi-element coral thermometry: A biomineralization approach to developing climate proxies","docAbstract":"This study presents a new approach to coral thermometry that deconvolves the influence of water temperature on skeleton composition from that of “vital effects”, and has the potential to provide estimates of growth temperatures that are accurate to within a few tenths of a degree Celsius from both tropical and cold-water corals. Our results provide support for a physico-chemical model of coral biomineralization, and imply that Mg2+ substitutes directly for Ca2+ in biogenic aragonite. Recent studies have identified Rayleigh fractionation as an important influence on the elemental composition of coral skeletons. Daily, seasonal and interannual variations in the amount of aragonite precipitated by corals from each “batch” of calcifying fluid can explain why the temperature dependencies of elemental ratios in coral skeleton differ from those of abiogenic aragonites, and are highly variable among individual corals. On the basis of this new insight into the origin of “vital effects” in coral skeleton, we developed a Rayleigh-based, multi-element approach to coral thermometry. Temperature is resolved from the Rayleigh fractionation signal by combining information from multiple element ratios (e.g., Mg/Ca, Sr/Ca, Ba/Ca) to produce a mathematically over-constrained system of Rayleigh equations. Unlike conventional coral thermometers, this approach does not rely on an initial calibration of coral skeletal composition to an instrumental temperature record. Rather, considering coral skeletogenesis as a biologically mediated, physico-chemical process provides a means to extract temperature information from the skeleton composition using the Rayleigh equation and a set of experimentally determined partition coefficients. Because this approach is based on a quantitative understanding of the mechanism that produces the “vital effect” it should be possible to apply it both across scleractinian species and to corals growing in vastly different environments. Where instrumental temperature records are available, a Rayleigh-based framework allows the effects of stress on coral calcification to be identified on the basis of anomalies in the skeletal composition.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geochimica et Cosmochimica Acta","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2011.01.010","issn":"00167037","usgsCitation":"Gaetani, G., Cohen, A., Wang, Z., and Crusius, J., 2011, Rayleigh-based, multi-element coral thermometry: A biomineralization approach to developing climate proxies: Geochimica et Cosmochimica Acta, v. 75, no. 7, p. 1920-1932, https://doi.org/10.1016/j.gca.2011.01.010.","productDescription":"13 p.","startPage":"1920","endPage":"1932","costCenters":[{"id":680,"text":"Woods Hole Science Center","active":false,"usgs":true}],"links":[{"id":243834,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215995,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.gca.2011.01.010"}],"volume":"75","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a955be4b0c8380cd81979","contributors":{"authors":[{"text":"Gaetani, G.A.","contributorId":77763,"corporation":false,"usgs":true,"family":"Gaetani","given":"G.A.","affiliations":[],"preferred":false,"id":448246,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cohen, A.L.","contributorId":68131,"corporation":false,"usgs":true,"family":"Cohen","given":"A.L.","email":"","affiliations":[],"preferred":false,"id":448245,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wang, Z.","contributorId":67976,"corporation":false,"usgs":true,"family":"Wang","given":"Z.","affiliations":[],"preferred":false,"id":448244,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Crusius, John 0000-0003-2554-0831 jcrusius@usgs.gov","orcid":"https://orcid.org/0000-0003-2554-0831","contributorId":2155,"corporation":false,"usgs":true,"family":"Crusius","given":"John","email":"jcrusius@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":448243,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70034901,"text":"70034901 - 2011 - Depth as an organizer of fish assemblages in floodplain lakes","interactions":[],"lastModifiedDate":"2021-03-08T21:23:23.157519","indexId":"70034901","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":873,"text":"Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Depth as an organizer of fish assemblages in floodplain lakes","docAbstract":"<p><span>Depth reduction is a natural process in floodplain lakes, but in many basins has been accelerated by anthropogenic disturbances. A diverse set of 42 floodplain lakes in the Yazoo River Basin (Mississippi, USA) was examined to test the hypothesis of whether depth reduction was a key determinant of water quality and fish assemblage structure. Single and multiple variable analyses were applied to 10 commonly monitored water variables and 54 fish species. Results showed strong associations between depth and water characteristics, and between depth and fish assemblages. Deep lakes provided less variable environments, clearer water, and a wider range of microhabitats than shallow lakes. The greater environmental stability was reflected by the dominant species in the assemblages, which included a broader representation of large-body species, species less tolerant of extreme water quality, and more predators. Stability in deep lakes was further reflected by reduced among-lake variability in taxa representation. Fish assemblages in shallow lakes were more variable than deep lakes, and commonly dominated by opportunistic species that have early maturity, extended breeding seasons, small adult size, and short lifespan. Depth is a causal factor that drives many physical and chemical variables that contribute to organizing fish assemblages in floodplain lakes. Thus, correlations between fish and water transparency, temperature, oxygen, trophic state, habitat structure, and other environmental descriptors may ultimately be totally or partly regulated by depth. In basins undergoing rapid anthropogenic modifications, local changes forced by depth reductions may be expected to eliminate species available from the regional pool and could have considerable ecological implications.</span></p>","language":"English","publisher":"Springer Link","doi":"10.1007/s00027-010-0170-7","issn":"10151621","usgsCitation":"Miranda, L.E., 2011, Depth as an organizer of fish assemblages in floodplain lakes: Aquatic Sciences, v. 73, no. 2, p. 211-221, https://doi.org/10.1007/s00027-010-0170-7.","productDescription":"11 p.","startPage":"211","endPage":"221","ipdsId":"IP-021899","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":243804,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215967,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00027-010-0170-7"}],"country":"United States","state":"Mississippi","otherGeospatial":"Yazoo River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -90.98876953125,\n              32.43561304116276\n            ],\n            [\n              -90.3076171875,\n              32.63937487360669\n            ],\n            [\n              -89.6484375,\n              32.89803818160521\n            ],\n            [\n              -88.9892578125,\n              34.14363482031264\n            ],\n            [\n              -88.83544921874999,\n              35.0120020431607\n            ],\n            [\n              -90.2197265625,\n              34.994003757575776\n            ],\n            [\n              -90.5712890625,\n              34.75966612466248\n            ],\n            [\n              -91.03271484375,\n              34.08906131584994\n            ],\n            [\n              -91.29638671875,\n              33.52307880890422\n            ],\n            [\n              -91.1865234375,\n              32.565333160841035\n            ],\n            [\n              -90.98876953125,\n              32.43561304116276\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"73","issue":"2","noUsgsAuthors":false,"publicationDate":"2010-11-09","publicationStatus":"PW","scienceBaseUri":"5059fecee4b0c8380cd4ef34","contributors":{"authors":[{"text":"Miranda, Leandro E. 0000-0002-2138-7924 smiranda@usgs.gov","orcid":"https://orcid.org/0000-0002-2138-7924","contributorId":531,"corporation":false,"usgs":true,"family":"Miranda","given":"Leandro","email":"smiranda@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":448236,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70034899,"text":"70034899 - 2011 - Remote compositional analysis of lunar olivine-rich lithologies with Moon Mineralogy Mapper (M3) spectra","interactions":[],"lastModifiedDate":"2021-03-10T12:50:22.519967","indexId":"70034899","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2317,"text":"Journal of Geophysical Research E: Planets","active":true,"publicationSubtype":{"id":10}},"title":"Remote compositional analysis of lunar olivine-rich lithologies with Moon Mineralogy Mapper (M3) spectra","docAbstract":"<p><span>A systematic approach for deconvolving remotely sensed lunar olivine‐rich visible to near‐infrared (VNIR) reflectance spectra with the Modified Gaussian Model (MGM) is evaluated with Chandrayaan‐1 Moon Mineralogy Mapper (M</span><sup>3</sup><span>) spectra. Whereas earlier studies of laboratory reflectance spectra focused only on complications due to chromite inclusions in lunar olivines, we develop a systematic approach for addressing (through continuum removal) the prominent continuum slopes common to remotely sensed reflectance spectra of planetary surfaces. We have validated our continuum removal on a suite of laboratory reflectance spectra. Suites of olivine‐dominated reflectance spectra from a small crater near Mare Moscoviense, the Copernicus central peak, Aristarchus, and the crater Marius in the Marius Hills were analyzed. Spectral diversity was detected in visual evaluation of the spectra and was quantified using the MGM. The MGM‐derived band positions are used to estimate the olivine's composition in a relative sense. Spectra of olivines from Moscoviense exhibit diversity in their absorption features, and this diversity suggests some variation in olivine Fe/Mg content. Olivines from Copernicus are observed to be spectrally homogeneous and thus are predicted to be more compositionally homogeneous than those at Moscoviense but are of broadly similar composition to the Moscoviense olivines. Olivines from Aristarchus and Marius exhibit clear spectral differences from those at Moscoviense and Copernicus but also exhibit features that suggest contributions from other phases. If the various precautions discussed here are weighed carefully, the methods presented here can be used to make general predictions of absolute olivine composition (Fe/Mg content).</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2010JE003731","issn":"01480227","usgsCitation":"Isaacson, P., Pieters, C., Besse, S., Clark, R.N., Head, J., Klima, R., Mustard, J., Petro, N., Staid, M., Sunshine, J., Taylor, L., Thaisen, K., and Tompkins, S., 2011, Remote compositional analysis of lunar olivine-rich lithologies with Moon Mineralogy Mapper (M3) spectra: Journal of Geophysical Research E: Planets, v. 116, no. E6, E00G11, 17 p., https://doi.org/10.1029/2010JE003731.","productDescription":"E00G11, 17 p.","ipdsId":"IP-024468","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":475134,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2010je003731","text":"Publisher Index Page"},{"id":243773,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"116","issue":"E6","noUsgsAuthors":false,"publicationDate":"2011-04-26","publicationStatus":"PW","scienceBaseUri":"505aa6dbe4b0c8380cd850bd","contributors":{"authors":[{"text":"Isaacson, P.J.","contributorId":63236,"corporation":false,"usgs":true,"family":"Isaacson","given":"P.J.","email":"","affiliations":[],"preferred":false,"id":448225,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pieters, C.M.","contributorId":48733,"corporation":false,"usgs":true,"family":"Pieters","given":"C.M.","email":"","affiliations":[{"id":16929,"text":"Brown University","active":true,"usgs":false}],"preferred":false,"id":448223,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Besse, S.","contributorId":79330,"corporation":false,"usgs":true,"family":"Besse","given":"S.","email":"","affiliations":[],"preferred":false,"id":448230,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Clark, Roger N. 0000-0002-7021-1220 rclark@usgs.gov","orcid":"https://orcid.org/0000-0002-7021-1220","contributorId":515,"corporation":false,"usgs":true,"family":"Clark","given":"Roger","email":"rclark@usgs.gov","middleInitial":"N.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":448219,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Head, J.W.","contributorId":67982,"corporation":false,"usgs":true,"family":"Head","given":"J.W.","email":"","affiliations":[],"preferred":false,"id":448226,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Klima, R.L.","contributorId":29238,"corporation":false,"usgs":true,"family":"Klima","given":"R.L.","email":"","affiliations":[],"preferred":false,"id":448222,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mustard, J.F.","contributorId":91605,"corporation":false,"usgs":true,"family":"Mustard","given":"J.F.","email":"","affiliations":[],"preferred":false,"id":448231,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Petro, N.E.","contributorId":18999,"corporation":false,"usgs":true,"family":"Petro","given":"N.E.","email":"","affiliations":[],"preferred":false,"id":448221,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Staid, M.I.","contributorId":76505,"corporation":false,"usgs":true,"family":"Staid","given":"M.I.","email":"","affiliations":[],"preferred":false,"id":448229,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Sunshine, J.M.","contributorId":74591,"corporation":false,"usgs":true,"family":"Sunshine","given":"J.M.","email":"","affiliations":[],"preferred":false,"id":448228,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Taylor, L.A.","contributorId":14160,"corporation":false,"usgs":true,"family":"Taylor","given":"L.A.","email":"","affiliations":[],"preferred":false,"id":448220,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Thaisen, K.G.","contributorId":70615,"corporation":false,"usgs":true,"family":"Thaisen","given":"K.G.","email":"","affiliations":[],"preferred":false,"id":448227,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Tompkins, S.","contributorId":51123,"corporation":false,"usgs":true,"family":"Tompkins","given":"S.","email":"","affiliations":[],"preferred":false,"id":448224,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70034877,"text":"70034877 - 2011 - Observations of coarse sediment movements on the mixed beach of the Elwha Delta, Washington","interactions":[],"lastModifiedDate":"2021-03-10T12:51:08.626829","indexId":"70034877","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2667,"text":"Marine Geology","active":true,"publicationSubtype":{"id":10}},"title":"Observations of coarse sediment movements on the mixed beach of the Elwha Delta, Washington","docAbstract":"<p><span>Mixed beaches, with poorly sorted grains of multiple sizes, are a common and globally distributed shoreline type. Despite this, rates and mechanisms of sediment transport on mixed beaches are poorly understood. A series of tracer deployments using native clasts implanted with Radio Frequency Identifier (RFID) tags was used to develop a better understanding of sediment transport directions and magnitudes on the mixed grain-size beach of the Elwha River delta. Using tracer samples selected to match the distribution of the coarse fraction on the beach we find that all grain sizes, up to large cobbles (128–256</span><span>&nbsp;</span><span>mm), were mobile under most measured wave conditions and move in relationship to the direction of the alongshore component of wave energy as estimated by incident breaking wave angles. In locations where the breaking wave is normal to the shoreline we find that tracers move in both alongshore directions with approximately equal frequency. In locations where breaking waves are oblique to the shoreline we find that alongshore transport is more unidirectional and tracers can approach average velocities of 100</span><span>&nbsp;</span><span>m/day under winter wave conditions. We use the tracer cloud to estimate the beach active width, the mobile layer depth and sediment velocity. Our results suggest that, while sediment velocity increases under increased incident wave angles, the active layer depth and width decrease, reducing sediment flux at the site with the more oblique breaking waves. This result is contrary to what is suggested by traditional wave energy transport models of alongshore sediment transport.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.margeo.2011.02.012","issn":"00253227","usgsCitation":"Miller, I., Warrick, J.A., and Morgan, C., 2011, Observations of coarse sediment movements on the mixed beach of the Elwha Delta, Washington: Marine Geology, v. 282, no. 3-4, p. 201-214, https://doi.org/10.1016/j.margeo.2011.02.012.","productDescription":"14 p.","startPage":"201","endPage":"214","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":243429,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Elwha Delta","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.695068359375,\n              48.08174889040687\n            ],\n            [\n              -123.36822509765625,\n              48.08174889040687\n            ],\n            [\n              -123.36822509765625,\n              48.19721822655714\n            ],\n            [\n              -123.695068359375,\n              48.19721822655714\n            ],\n            [\n              -123.695068359375,\n              48.08174889040687\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"282","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a6a89e4b0c8380cd7420d","contributors":{"authors":[{"text":"Miller, I.M.","contributorId":73031,"corporation":false,"usgs":true,"family":"Miller","given":"I.M.","affiliations":[],"preferred":false,"id":448114,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Warrick, Jonathan A. 0000-0002-0205-3814 jwarrick@usgs.gov","orcid":"https://orcid.org/0000-0002-0205-3814","contributorId":167736,"corporation":false,"usgs":true,"family":"Warrick","given":"Jonathan","email":"jwarrick@usgs.gov","middleInitial":"A.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":448113,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morgan, C.","contributorId":94489,"corporation":false,"usgs":true,"family":"Morgan","given":"C.","affiliations":[],"preferred":false,"id":448115,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70034876,"text":"70034876 - 2011 - Adult survival and population growth rate in Colorado big brown bats (Eptesicus fuscus)","interactions":[],"lastModifiedDate":"2021-03-09T17:44:51.824391","indexId":"70034876","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2373,"text":"Journal of Mammalogy","onlineIssn":"1545-1542","printIssn":"0022-2372","active":true,"publicationSubtype":{"id":10}},"title":"Adult survival and population growth rate in Colorado big brown bats (Eptesicus fuscus)","docAbstract":"<p><span>We studied adult survival and population growth at multiple maternity colonies of big brown bats (</span><i>Eptesicus fuscus</i><span>) in Fort Collins, Colorado. We investigated hypotheses about survival using information-theoretic methods and mark–recapture analyses based on passive detection of adult females tagged with passive integrated transponders. We constructed a 3-stage life-history matrix model to estimate population growth rate (λ) and assessed the relative importance of adult survival and other life-history parameters to population growth through elasticity and sensitivity analysis. Annual adult survival at 5 maternity colonies monitored from 2001 to 2005 was estimated at 0.79 (95% confidence interval [95%&nbsp;</span><i>CI</i><span>] = 0.77–0.82). Adult survival varied by year and roost, with low survival during an extreme drought year, a finding with negative implications for bat populations because of the likelihood of increasing drought in western North America due to global climate change. Adult survival during winter was higher than in summer, and mean life expectancies calculated from survival estimates were lower than maximum longevity records. We modeled adult survival with recruitment parameter estimates from the same population. The study population was growing (λ = 1.096; 95%&nbsp;</span><i>CI</i><span>&nbsp;= 1.057–1.135). Adult survival was the most important demographic parameter for population growth. Growth clearly had the highest elasticity to adult survival, followed by juvenile survival and adult fecundity (approximately equivalent in rank). Elasticity was lowest for fecundity of yearlings. The relative importances of the various life-history parameters for population growth rate are similar to those of large mammals.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1644/10-MAMM-A-162.1","issn":"00222372","usgsCitation":"O’Shea, T.J., Ellison, L.E., and Stanley, T.R., 2011, Adult survival and population growth rate in Colorado big brown bats (Eptesicus fuscus): Journal of Mammalogy, v. 92, no. 2, p. 433-443, https://doi.org/10.1644/10-MAMM-A-162.1.","productDescription":"11 p.","startPage":"433","endPage":"443","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":475130,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1644/10-mamm-a-162.1","text":"Publisher Index Page"},{"id":243395,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215581,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1644/10-MAMM-A-162.1"}],"country":"United States","state":"Colorado","otherGeospatial":"Fort Collins","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -105.2490234375,\n              40.41140480914068\n            ],\n            [\n              -104.82330322265625,\n              40.41140480914068\n            ],\n            [\n              -104.82330322265625,\n              40.70562793820589\n            ],\n            [\n              -105.2490234375,\n              40.70562793820589\n            ],\n            [\n              -105.2490234375,\n              40.41140480914068\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"92","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e6ffe4b0c8380cd477aa","contributors":{"authors":[{"text":"O’Shea, Thomas J. 0000-0002-0758-9730","orcid":"https://orcid.org/0000-0002-0758-9730","contributorId":207270,"corporation":false,"usgs":true,"family":"O’Shea","given":"Thomas","email":"","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":448110,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ellison, Laura E. ellisonl@usgs.gov","contributorId":3220,"corporation":false,"usgs":true,"family":"Ellison","given":"Laura","email":"ellisonl@usgs.gov","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":448112,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stanley, Thomas R. 0000-0002-8393-0005 stanleyt@usgs.gov","orcid":"https://orcid.org/0000-0002-8393-0005","contributorId":209928,"corporation":false,"usgs":true,"family":"Stanley","given":"Thomas","email":"stanleyt@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":448111,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70034874,"text":"70034874 - 2011 - Multinomial mixture model with heterogeneous classification probabilities","interactions":[],"lastModifiedDate":"2021-03-09T18:38:56.901936","indexId":"70034874","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1573,"text":"Environmental and Ecological Statistics","active":true,"publicationSubtype":{"id":10}},"title":"Multinomial mixture model with heterogeneous classification probabilities","docAbstract":"<p><span>Royle and Link (Ecology 86(9):2505–2512, 2005) proposed an analytical method that allowed estimation of multinomial distribution parameters and classification probabilities from categorical data measured with error. While useful, we demonstrate algebraically and by simulations that this method yields biased multinomial parameter estimates when the probabilities of correct category classifications vary among sampling units. We address this shortcoming by treating these probabilities as logit-normal random variables within a Bayesian framework. We use Markov chain Monte Carlo to compute Bayes estimates from a simulated sample from the posterior distribution. Based on simulations, this elaborated Royle-Link model yields nearly unbiased estimates of multinomial and correct classification probability estimates when classification probabilities are allowed to vary according to the normal distribution on the logit scale or according to the Beta distribution. The method is illustrated using categorical submersed aquatic vegetation data.</span></p>","language":"English","publisher":"Springer Link","doi":"10.1007/s10651-009-0131-2","issn":"13528505","usgsCitation":"Holland, M., and Gray, B.R., 2011, Multinomial mixture model with heterogeneous classification probabilities: Environmental and Ecological Statistics, v. 18, no. 2, p. 257-270, https://doi.org/10.1007/s10651-009-0131-2.","productDescription":"14 p.","startPage":"257","endPage":"270","costCenters":[],"links":[{"id":243866,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216027,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10651-009-0131-2"}],"volume":"18","issue":"2","noUsgsAuthors":false,"publicationDate":"2010-01-28","publicationStatus":"PW","scienceBaseUri":"505a6033e4b0c8380cd71370","contributors":{"authors":[{"text":"Holland, M.D.","contributorId":90956,"corporation":false,"usgs":true,"family":"Holland","given":"M.D.","email":"","affiliations":[],"preferred":false,"id":448103,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gray, Brian R. 0000-0001-7682-9550 brgray@usgs.gov","orcid":"https://orcid.org/0000-0001-7682-9550","contributorId":2615,"corporation":false,"usgs":true,"family":"Gray","given":"Brian","email":"brgray@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":448102,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
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