We derive point and interval estimates for an urban population of green tree frogs (Hyla cinerea) from capture–mark–recapture field data obtained during the years 2006–2009. We present an infinite-dimensional least-squares approach which compares a mathematical population model to the statistical population estimates obtained from the field data. The model is composed of nonlinear first-order hyperbolic equations describing the dynamics of the amphibian population where individuals are divided into juveniles (tadpoles) and adults (frogs). To solve the least-squares problem, an explicit finite difference approximation is developed. Convergence results for the computed parameters are presented. Parameter estimates for the vital rates of juveniles and adults are obtained, and standard deviations for these estimates are computed. Numerical results for the model sensitivity with respect to these parameters are given. Finally, the above-mentioned parameter estimates are used to illustrate the long-time behavior of the population under investigation.
","language":"English","publisher":"Springer Link","doi":"10.1007/s11538-011-9682-0","usgsCitation":"Ackleh, A.S., Carter, J., Deng, K., Huang, Q., Pal, N., and Yang, X., 2012, Fitting a structured juvenile-adult model for green tree frogs to population estimates from capture-mark-recapture field data: Bulletin of Mathematical Biology, v. 74, no. 3, p. 641-665, https://doi.org/10.1007/s11538-011-9682-0.","productDescription":"25 p.","startPage":"641","endPage":"665","ipdsId":"IP-032520","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":241621,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"74","issue":"3","noUsgsAuthors":false,"publicationDate":"2011-10-13","publicationStatus":"PW","scienceBaseUri":"505a10c6e4b0c8380cd53dd6","contributors":{"authors":[{"text":"Ackleh, Azmy S.","contributorId":119949,"corporation":false,"usgs":true,"family":"Ackleh","given":"Azmy","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":436663,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carter, J. 0000-0003-0110-0284 carterj@usgs.gov","orcid":"https://orcid.org/0000-0003-0110-0284","contributorId":81839,"corporation":false,"usgs":true,"family":"Carter","given":"J.","email":"carterj@usgs.gov","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":436668,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Deng, Keng","contributorId":119746,"corporation":false,"usgs":true,"family":"Deng","given":"Keng","email":"","affiliations":[],"preferred":false,"id":436665,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Huang, Qihua","contributorId":119159,"corporation":false,"usgs":true,"family":"Huang","given":"Qihua","email":"","affiliations":[],"preferred":false,"id":436664,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pal, Nabendu","contributorId":119796,"corporation":false,"usgs":true,"family":"Pal","given":"Nabendu","email":"","affiliations":[],"preferred":false,"id":436667,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Yang, Xing","contributorId":116164,"corporation":false,"usgs":true,"family":"Yang","given":"Xing","email":"","affiliations":[],"preferred":false,"id":436666,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70102820,"text":"70102820 - 2012 - Programs for calibration‐based Monte Carlo simulation of recharge areas","interactions":[],"lastModifiedDate":"2019-07-03T14:25:36","indexId":"70102820","displayToPublicDate":"2011-10-11T13:24:55","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1861,"text":"Ground Water","active":true,"publicationSubtype":{"id":10}},"title":"Programs for calibration‐based Monte Carlo simulation of recharge areas","docAbstract":"One use of groundwater flow models is to simulate contributing recharge areas to wells or springs. Particle tracking can be used to simulate these recharge areas, but in many cases the modeler is not sure how accurate these recharge areas are because parameters such as hydraulic conductivity and recharge have errors associated with them. The scripts described in this article (GEN_LHS and MCDRIVER_LHS) use the Python scripting language to run a Monte Carlo simulation with Latin hypercube sampling where model parameters such as hydraulic conductivity and recharge are randomly varied for a large number of model simulations, and the probability of a particle being in the contributing area of a well is calculated based on the results of multiple simulations. Monte Carlo simulation provides one useful measure of the variability in modeled particles. The Monte Carlo method described here is unique in that it uses parameter sets derived from the optimal parameters, their standard deviations, and their correlation matrix, all of which are calculated during nonlinear regression model calibration. In addition, this method uses a set of acceptance criteria to eliminate unrealistic parameter sets.
","language":"English","publisher":"NGWA","doi":"10.1111/j.1745-6584.2011.00868.x","usgsCitation":"Starn, J., and Bagtzoglou, A.C., 2012, Programs for calibration‐based Monte Carlo simulation of recharge areas: Ground Water, v. 50, no. 3, p. 472-476, https://doi.org/10.1111/j.1745-6584.2011.00868.x.","productDescription":"5 p.","startPage":"472","endPage":"476","ipdsId":"IP-029084","costCenters":[{"id":196,"text":"Connecticut Water Science Center","active":true,"usgs":true}],"links":[{"id":365284,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"50","issue":"3","noUsgsAuthors":false,"publicationDate":"2011-10-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Starn, J. Jeffrey 0000-0001-5909-0010 jjstarn@usgs.gov","orcid":"https://orcid.org/0000-0001-5909-0010","contributorId":1916,"corporation":false,"usgs":true,"family":"Starn","given":"J. Jeffrey","email":"jjstarn@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":false,"id":518736,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bagtzoglou, Amvrossios C.","contributorId":211518,"corporation":false,"usgs":false,"family":"Bagtzoglou","given":"Amvrossios","email":"","middleInitial":"C.","affiliations":[{"id":36710,"text":"University of Connecticut","active":true,"usgs":false}],"preferred":false,"id":765422,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70005482,"text":"70005482 - 2012 - Effects of flow releases on macroinvertebrate assemblages in the Indian and Hudson Rivers in the Adirondack Mountains of Northern New York","interactions":[],"lastModifiedDate":"2021-05-20T22:31:50.948419","indexId":"70005482","displayToPublicDate":"2011-10-07T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Effects of flow releases on macroinvertebrate assemblages in the Indian and Hudson Rivers in the Adirondack Mountains of Northern New York","docAbstract":"The effects of flow releases (daily during spring and four times weekly during summer) from a small impoundment on macroinvertebrate assemblages in the lower Indian River and upper Hudson River of northern New York were assessed during the summers of 2005 and 2006. Community indices, feeding guilds, dominant species and Bray–Curtis similarities at three sites on the Indian River, below a regulated impoundment, were compared with those at four control sites on the Cedar River, below a run-of-the-river impoundment of comparable size. The same indices at four less-likely affected sites on the Hudson River, below the mouth of the Indian River, were compared with those at an upstream control site on the Hudson River. Results show that the function and apparent health of macroinvertebrate communities were generally unaffected by atypical flow regimes and/or altered water quality at study reaches downstream from both dams in the Indian, Cedar and Hudson Rivers. The lentic nature of releases from both impoundments, however, produced significant changes in the structure of assemblages at Indian and Cedar River sites immediately downstream from both dams, moderate effects at two Indian River sites 2.4 and 4.0 km downstream from its dam, little or no effect at three Cedar River sites 7.2–34.2 km downstream from its dam, and no effect at any Hudson River site. Bray–Curtis similarities indicate that assemblages did not differ significantly among sites within similar impact categories. The paucity of scrapers at all Indian River sites, and the predominance of filter-feeding Simulium gouldingi and Pisidium compressum immediately below Abanakee dam, show that only minor differences in dominant species and trophic structure of macroinvertebrate communities occurred at affected sites in the Indian River compared to the Cedar River. Thus, flow releases had only a small, localized effect on macroinvertebrate communities in the Indian River.
","language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1002/rra.1480","usgsCitation":"Baldigo, B., and Smith, A.J., 2012, Effects of flow releases on macroinvertebrate assemblages in the Indian and Hudson Rivers in the Adirondack Mountains of Northern New York: River Research and Applications, v. 28, no. 7, p. 858-871, https://doi.org/10.1002/rra.1480.","productDescription":"14 p.","startPage":"858","endPage":"871","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":474696,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/rra.1480","text":"Publisher Index Page"},{"id":204469,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"projection":"Universal Transverse Mercator","country":"United States","state":"New York","otherGeospatial":"Cedar River, Hudson River, Indian River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -74.6,43.583333333333336 ], [ -74.6,43.916666666666664 ], [ -74,43.916666666666664 ], [ -74,43.583333333333336 ], [ -74.6,43.583333333333336 ] ] ] } } ] }","volume":"28","issue":"7","noUsgsAuthors":false,"publicationDate":"2011-01-20","publicationStatus":"PW","scienceBaseUri":"4f4e4a2ce4b07f02db613a24","contributors":{"authors":[{"text":"Baldigo, Barry P. 0000-0002-9862-9119","orcid":"https://orcid.org/0000-0002-9862-9119","contributorId":25174,"corporation":false,"usgs":true,"family":"Baldigo","given":"Barry P.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":352638,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, A. J.","contributorId":67040,"corporation":false,"usgs":false,"family":"Smith","given":"A.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":352639,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70156356,"text":"70156356 - 2012 - A reevaluation of the Munson-Nygren-Retriever submarine landslide complex, Georges bank lower slope, western north Atlantic","interactions":[],"lastModifiedDate":"2017-11-18T12:08:47","indexId":"70156356","displayToPublicDate":"2011-09-15T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3915,"text":"Advances in Natural and Technological Hazards Research","active":true,"publicationSubtype":{"id":10}},"title":"A reevaluation of the Munson-Nygren-Retriever submarine landslide complex, Georges bank lower slope, western north Atlantic","docAbstract":"The Munson-Nygren-Retriever (MNR) landslide complex is a series of distinct submarine landslides located between Nygren and Powell canyons on the Georges Bank lower slope. These landslides were first imaged in 1978 using widely-spaced seismic reflection profiles and were further investigated using continuous coverage GLORIA sidescan imagery collected over the landslide complex in 1987. Recent acquisition of highresolution multibeam bathymetry across these landslides has provided an unprecedented view of their complex morphology and allows for a more detailed investigation of their evacuation and deposit morphologies and sizes, modes of failure, and relationship to the adjacent sections of the margin, including the identification of an additional landslide within the MNR complex, referred to here as the Pickett slide. The evacuation zone of these landslides covers an area of approximately 1,780 km2 . The headwalls of these landslides are at a depth of approximately 1,800 m, with evacuation extending for approximately 60 km downslope to the top of the continental rise. High-relief debris deposits, in the form of blocks and ridges, are present down the length of the majority of the evacuation zones and within the deposition area at the base of the slope. On the continental rise, the deposits from each of the most recent failures of the MNR complex landslides merge with debris from earlier continental slope failures, canyon and alongslope derived deposits, and prominent upper-rise failures.
","language":"English","publisher":"SpringerLink","doi":"10.1007/978-94-007-2162-3_12","usgsCitation":"Chaytor, J., Twichell, D.C., and ten Brink, U., 2012, A reevaluation of the Munson-Nygren-Retriever submarine landslide complex, Georges bank lower slope, western north Atlantic: Advances in Natural and Technological Hazards Research, v. 31, p. 135-146, https://doi.org/10.1007/978-94-007-2162-3_12.","productDescription":"11 p.","startPage":"135","endPage":"146","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":308182,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -65.3466796875,\n 37.54457732085582\n ],\n [\n -65.3466796875,\n 40.3130432088809\n ],\n [\n -59.83154296874999,\n 40.3130432088809\n ],\n [\n -59.83154296874999,\n 37.54457732085582\n ],\n [\n -65.3466796875,\n 37.54457732085582\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"31","noUsgsAuthors":false,"publicationDate":"2011-09-15","publicationStatus":"PW","scienceBaseUri":"55fa92ace4b05d6c4e501a42","contributors":{"authors":[{"text":"Chaytor, Jason D. jchaytor@usgs.gov","contributorId":4961,"corporation":false,"usgs":true,"family":"Chaytor","given":"Jason D.","email":"jchaytor@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":6706,"text":"Woods Hole Oceanographic Institution,","active":true,"usgs":false}],"preferred":false,"id":568842,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Twichell, David C.","contributorId":37730,"corporation":false,"usgs":true,"family":"Twichell","given":"David","email":"","middleInitial":"C.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":568843,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"ten Brink, Uri S. 0000-0001-6858-3001 utenbrink@usgs.gov","orcid":"https://orcid.org/0000-0001-6858-3001","contributorId":127560,"corporation":false,"usgs":true,"family":"ten Brink","given":"Uri S.","email":"utenbrink@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":false,"id":568844,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70004913,"text":"70004913 - 2012 - Development and use of a floristic quality index for coastal Louisiana marshes","interactions":[],"lastModifiedDate":"2019-08-27T11:34:45","indexId":"70004913","displayToPublicDate":"2011-06-10T11:30:03","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1552,"text":"Environmental Monitoring and Assessment","onlineIssn":"1573-2959","printIssn":"0167-6369","active":true,"publicationSubtype":{"id":10}},"title":"Development and use of a floristic quality index for coastal Louisiana marshes","docAbstract":"The Floristic Quality Index (FQI) has been used as a tool for assessing the integrity of plant communities and for assessing restoration projects in many regions of the USA. Here, we develop a modified FQI (FQImod) for coastal Louisiana wetlands and verify it using 12 years of monitoring data from a coastal restoration project. Plant species that occur in coastal Louisiana were assigned a coefficient of conservatism (CC) score by a local group with expertise in Louisiana coastal vegetation. Species percent cover and both native and non-native species were included in the FQImod which was scaled from 0?100. The FQImod scores from the long-term monitoring project demonstrated the utility of this index for assessing wetland condition over time, including its sensitivity to a hurricane. Ultimately, the FQI developed for coastal Louisiana will be used in conjunction with other wetland indices (e.g., hydrology and soils) to assess wetland condition coastwide and these indices will aid managers in coastal restoration and management decisions.","language":"English","publisher":"Springer","doi":"10.1007/s10661-011-2125-4","usgsCitation":"Visser, M.J., Cretini, K., Krauss, K.W., and Steyer, G.D., 2012, Development and use of a floristic quality index for coastal Louisiana marshes: Environmental Monitoring and Assessment, v. 184, no. 4, p. 2389-2403, https://doi.org/10.1007/s10661-011-2125-4.","productDescription":"15 p.","startPage":"2389","endPage":"2403","ipdsId":"IP-020272","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":366962,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.80224609374999,\n 30.496017831341284\n ],\n [\n -90.63720703125,\n 30.458144351018078\n ],\n [\n -90.7470703125,\n 30.097613277217132\n ],\n [\n -91.47216796875,\n 30.097613277217132\n ],\n [\n -92.548828125,\n 30.221101852485987\n ],\n [\n -93.69140625,\n 30.211608223816906\n ],\n [\n -93.900146484375,\n 29.754839972510933\n ],\n [\n -93.416748046875,\n 29.735762444449076\n ],\n [\n -93.05419921875,\n 29.735762444449076\n ],\n [\n -92.713623046875,\n 29.563901551414418\n ],\n [\n -92.252197265625,\n 29.48742484748479\n ],\n [\n -92.021484375,\n 29.5830116903775\n ],\n [\n -91.845703125,\n 29.439597566602902\n ],\n [\n -91.549072265625,\n 29.592565403314087\n ],\n [\n -91.56005859375,\n 29.506549442788593\n ],\n [\n -91.351318359375,\n 29.458731185355344\n ],\n [\n -91.38427734374999,\n 29.248063243796576\n ],\n [\n -90.71411132812499,\n 29.142566155107065\n ],\n [\n -90.3955078125,\n 29.34387539941801\n ],\n [\n -90.274658203125,\n 29.0273547804184\n ],\n [\n -89.8681640625,\n 29.23847708592805\n ],\n [\n -89.4287109375,\n 28.8927788645183\n ],\n [\n -88.87939453125,\n 29.152161283318915\n ],\n [\n -89.593505859375,\n 29.5830116903775\n ],\n [\n -89.296875,\n 29.754839972510933\n ],\n [\n -89.088134765625,\n 30.002516938570686\n ],\n [\n -89.307861328125,\n 30.135626231134587\n ],\n [\n -89.593505859375,\n 30.164126343161097\n ],\n [\n -89.80224609374999,\n 30.496017831341284\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"184","issue":"4","noUsgsAuthors":false,"publicationDate":"2011-06-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Visser, M Jenneke Jenneke","contributorId":119531,"corporation":false,"usgs":true,"family":"Visser","given":"M","suffix":"Jenneke","email":"","middleInitial":"Jenneke","affiliations":[],"preferred":false,"id":513238,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cretini, Kari 0000-0003-0419-0748","orcid":"https://orcid.org/0000-0003-0419-0748","contributorId":207226,"corporation":false,"usgs":true,"family":"Cretini","given":"Kari","email":"","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":769360,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Krauss, Ken W. 0000-0003-2195-0729 kraussk@usgs.gov","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":2017,"corporation":false,"usgs":true,"family":"Krauss","given":"Ken","email":"kraussk@usgs.gov","middleInitial":"W.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":769361,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Steyer, Gregory D. 0000-0001-7231-0110 steyerg@usgs.gov","orcid":"https://orcid.org/0000-0001-7231-0110","contributorId":2856,"corporation":false,"usgs":true,"family":"Steyer","given":"Gregory","email":"steyerg@usgs.gov","middleInitial":"D.","affiliations":[{"id":5064,"text":"Southeast Regional Director's Office","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":5062,"text":"Office of the Chief Scientist for Ecosystems","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":769362,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70180378,"text":"70180378 - 2012 - Anthropogenic aerosols as a source of ancient dissolved organic matter in glaciers","interactions":[],"lastModifiedDate":"2018-01-30T21:09:16","indexId":"70180378","displayToPublicDate":"2011-06-07T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2845,"text":"Nature Geoscience","active":true,"publicationSubtype":{"id":10}},"title":"Anthropogenic aerosols as a source of ancient dissolved organic matter in glaciers","docAbstract":"Glacier-derived dissolved organic matter represents a quantitatively significant source of ancient, yet highly bioavailable carbon to downstream ecosystems. This finding runs counter to logical perceptions of age–reactivity relationships, in which the least reactive material withstands degradation the longest and is therefore the oldest. The remnants of ancient peatlands and forests overrun by glaciers have been invoked as the source of this organic matter. Here, we examine the radiocarbon age and chemical composition of dissolved organic matter in snow, glacier surface water, ice and glacier outflow samples from Alaska to determine the origin of the organic matter. Low levels of compounds derived from vascular plants indicate that the organic matter does not originate from forests or peatlands. Instead, we show that the organic matter on the surface of the glaciers is radiocarbon depleted, consistent with an anthropogenic aerosol source. Fluorescence spectrophotometry measurements reveal the presence of protein-like compounds of microbial or aerosol origin. In addition, ultrahigh-resolution mass spectrometry measurements document the presence of combustion products found in anthropogenic aerosols. Based on the presence of these compounds, we suggest that aerosols derived from fossil fuel burning are a source of pre-aged organic matter to glacier surfaces. Furthermore, we show that the molecular signature of the organic matter is conserved in snow, glacier water and outflow, suggesting that the anthropogenic carbon is exported relatively unchanged in glacier outflows.
","language":"English","publisher":"Nature Pub. Group","publisherLocation":"New York, NY","doi":"10.1038/ngeo1403","usgsCitation":"Stubbins, A., Hood, E., Raymond, P.A., Aiken, G.R., Sleighter, R.L., Hernes, P.J., Butman, D., Hatcher, P., Striegl, R.G., Schuster, P.F., Abdulla, H.A., Vermilyea, A.W., Scott, D.T., and Spencer, R., 2012, Anthropogenic aerosols as a source of ancient dissolved organic matter in glaciers: Nature Geoscience, v. 5, p. 198-201, https://doi.org/10.1038/ngeo1403.","productDescription":"4 p.","startPage":"198","endPage":"201","ipdsId":"IP-029399","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":334287,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2012-02-19","publicationStatus":"PW","scienceBaseUri":"58905ef2e4b072a7ac0cad41","contributors":{"authors":[{"text":"Stubbins, Aron","contributorId":80949,"corporation":false,"usgs":true,"family":"Stubbins","given":"Aron","affiliations":[],"preferred":false,"id":661537,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hood, Eran","contributorId":106802,"corporation":false,"usgs":false,"family":"Hood","given":"Eran","affiliations":[],"preferred":false,"id":661538,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Raymond, Peter A.","contributorId":172876,"corporation":false,"usgs":false,"family":"Raymond","given":"Peter","email":"","middleInitial":"A.","affiliations":[{"id":17883,"text":"Yale School of Forestry and Environmental Studies, New Haven, CT","active":true,"usgs":false}],"preferred":false,"id":661539,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Aiken, George R. 0000-0001-8454-0984 graiken@usgs.gov","orcid":"https://orcid.org/0000-0001-8454-0984","contributorId":1322,"corporation":false,"usgs":true,"family":"Aiken","given":"George","email":"graiken@usgs.gov","middleInitial":"R.","affiliations":[{"id":5044,"text":"National Research Program - 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2012 - MODFLOW-style parameters in underdetermined parameter estimation","interactions":[],"lastModifiedDate":"2024-04-24T16:19:51.813673","indexId":"70118981","displayToPublicDate":"2011-02-25T09:11:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"MODFLOW-style parameters in underdetermined parameter estimation","docAbstract":"In this article, we discuss the use of MODFLOW-Style parameters in the numerical codes MODFLOW_2005 and MODFLOW_2005-Adjoint for the definition of variables in the Layer Property Flow package. Parameters are a useful tool to represent aquifer properties in both codes and are the only option available in the adjoint version. Moreover, for overdetermined parameter estimation problems, the parameter approach for model input can make data input easier. We found that if each estimable parameter is defined by one parameter, the codes require a large computational effort and substantial gains in efficiency are achieved by removing logical comparison of character strings that represent the names and types of the parameters. An alternative formulation already available in the current implementation of the code can also alleviate the efficiency degradation due to character comparisons in the special case of distributed parameters defined through multiplication matrices. The authors also hope that lessons learned in analyzing the performance of the MODFLOW family codes will be enlightening to developers of other Fortran implementations of numerical codes.
","language":"English","publisher":"National Groundwater Association","doi":"10.1111/j.1745-6584.2011.00803.x","usgsCitation":"D’Oria, M.D., and Fienen, M., 2012, MODFLOW-style parameters in underdetermined parameter estimation: Groundwater, v. 50, no. 1, p. 149-153, https://doi.org/10.1111/j.1745-6584.2011.00803.x.","productDescription":"5 p.","startPage":"149","endPage":"153","ipdsId":"IP-016755","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":291560,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"50","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-02-25","publicationStatus":"PW","scienceBaseUri":"53e09e5be4b0beb42bdca469","contributors":{"authors":[{"text":"D’Oria, Marco D.","contributorId":22258,"corporation":false,"usgs":true,"family":"D’Oria","given":"Marco","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":497550,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fienen, Michael N. 0000-0002-7756-4651 mnfienen@usgs.gov","orcid":"https://orcid.org/0000-0002-7756-4651","contributorId":893,"corporation":false,"usgs":true,"family":"Fienen","given":"Michael N.","email":"mnfienen@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":497549,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70043942,"text":"70043942 - 2012 - Fungal influence on plant tolerance to stress","interactions":[],"lastModifiedDate":"2022-12-27T15:00:39.034252","indexId":"70043942","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"7","title":"Fungal influence on plant tolerance to stress","docAbstract":"No abstract available.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Biocomplexity of plant-fungal interactions","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1002/9781118314364.ch7","usgsCitation":"Rodriguez, R.J., Woodward, C.J., and Redman, R.S., 2012, Fungal influence on plant tolerance to stress, chap. 7 of Biocomplexity of plant-fungal interactions, p. 155-164, https://doi.org/10.1002/9781118314364.ch7.","productDescription":"10 p.","startPage":"155","endPage":"164","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-023482","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":268376,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2012-01-03","publicationStatus":"PW","scienceBaseUri":"53cd5a5ce4b0b290850f94cb","contributors":{"authors":[{"text":"Rodriguez, Russell J.","contributorId":75035,"corporation":false,"usgs":true,"family":"Rodriguez","given":"Russell","email":"","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":474529,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Woodward, Claire J.","contributorId":15904,"corporation":false,"usgs":true,"family":"Woodward","given":"Claire","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":474528,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Redman, Regina S. 0000-0001-5108-7570","orcid":"https://orcid.org/0000-0001-5108-7570","contributorId":75829,"corporation":false,"usgs":true,"family":"Redman","given":"Regina","email":"","middleInitial":"S.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":474530,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70036375,"text":"70036375 - 2012 - Sensitivity analysis of the GEMS soil organic carbon model to land cover land use classification uncertainties under different climate scenarios in Senegal","interactions":[],"lastModifiedDate":"2017-04-06T14:20:32","indexId":"70036375","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1011,"text":"Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Sensitivity analysis of the GEMS soil organic carbon model to land cover land use classification uncertainties under different climate scenarios in Senegal","docAbstract":"Spatially explicit land cover land use (LCLU) change information is needed to drive biogeochemical models that simulate soil organic carbon (SOC) dynamics. Such information is increasingly being mapped using remotely sensed satellite data with classification schemes and uncertainties constrained by the sensing system, classification algorithms and land cover schemes. In this study, automated LCLU classification of multi-temporal Landsat satellite data were used to assess the sensitivity of SOC modeled by the Global Ensemble Biogeochemical Modeling System (GEMS). The GEMS was run for an area of 1560 km2 in Senegal under three climate change scenarios with LCLU maps generated using different Landsat classification approaches. This research provides a method to estimate the variability of SOC, specifically the SOC uncertainty due to satellite classification errors, which we show is dependent not only on the LCLU classification errors but also on where the LCLU classes occur relative to the other GEMS model inputs.
","language":"English","publisher":"Copernicus Publications","doi":"10.5194/bg-9-631-2012","issn":"18106277","usgsCitation":"Dieye, A., Roy, D.P., Hanan, N., Liu, S., Hansen, M., and Toure, A., 2012, Sensitivity analysis of the GEMS soil organic carbon model to land cover land use classification uncertainties under different climate scenarios in Senegal: Biogeosciences, v. 9, p. 631-648, https://doi.org/10.5194/bg-9-631-2012.","productDescription":"18 p.","startPage":"631","endPage":"648","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":474697,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/bg-9-631-2012","text":"Publisher Index Page"},{"id":246158,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","noUsgsAuthors":false,"publicationDate":"2012-02-03","publicationStatus":"PW","scienceBaseUri":"505b8d24e4b08c986b318292","contributors":{"authors":[{"text":"Dieye, A.M.","contributorId":35988,"corporation":false,"usgs":true,"family":"Dieye","given":"A.M.","email":"","affiliations":[],"preferred":false,"id":455789,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roy, David P.","contributorId":54761,"corporation":false,"usgs":false,"family":"Roy","given":"David","email":"","middleInitial":"P.","affiliations":[{"id":26958,"text":"South Dakota State University, Brookings, SD","active":true,"usgs":false},{"id":33433,"text":"University of Maryland, College Park","active":true,"usgs":false},{"id":7049,"text":"NASA Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":455790,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hanan, N.P.","contributorId":82123,"corporation":false,"usgs":true,"family":"Hanan","given":"N.P.","affiliations":[],"preferred":false,"id":455791,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Liu, S.","contributorId":93170,"corporation":false,"usgs":true,"family":"Liu","given":"S.","affiliations":[],"preferred":false,"id":455792,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hansen, M.","contributorId":34670,"corporation":false,"usgs":true,"family":"Hansen","given":"M.","affiliations":[],"preferred":false,"id":455788,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Toure, A.","contributorId":98920,"corporation":false,"usgs":true,"family":"Toure","given":"A.","email":"","affiliations":[],"preferred":false,"id":455793,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70237802,"text":"70237802 - 2012 - Numerical simulations examining the possible role of anthropogenic and volcanic emissions during the 1997 Indonesian fires","interactions":[],"lastModifiedDate":"2022-10-25T10:58:15.17341","indexId":"70237802","displayToPublicDate":"2010-12-02T09:01:03","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":12793,"text":"Air Quality, Atmosphere & Health","active":true,"publicationSubtype":{"id":10}},"title":"Numerical simulations examining the possible role of anthropogenic and volcanic emissions during the 1997 Indonesian fires","docAbstract":"The regional atmospheric chemistry and climate model REMOTE has been used to conduct numerical simulations of the atmosphere during the catastrophic Indonesian fires of 1997. These simulations represent one possible scenario of the event, utilizing the RETRO wildland fire emission database. Emissions from the fires dominate the atmospheric concentrations of O3, CO, NO2, and SO2 creating many possible exceedances of the Indonesian air quality standards. The scenario described here suggests that urban anthropogenic emissions contributed to the poor air quality due primarily to the fires. The urban air pollution may have increased the total number of people exposed to exceedances of the O3 1-h standard by 17%. Secondary O3 from anthropogenic emissions enhanced the conversion of SO2 released by the fires to
The Canada Centre for Remote Sensing (CCRS) has more than 30 years of experience investigating the use of SAR remote sensing for many applications related to terrestrial water resources. Recently, CCRS scientists began contributing to the Terrestrial Wetland Global Change Research Network (TWGCRN), a bi-national research network dedicated to assessing impacts of global change on interconnected wetland-upland landscapes across a vital portion of North America. CCRS scientists are applying SAR remote sensing to characterize wetland components of these landscapes in three ways. First, they are using a comprehensive set of RADARSAT-2 SAR data collected during April to September 2009 to extract multi-temporal surface water information for key TWGCRN study landscapes in North America. Second, they are analyzing polarimetric RADARSAT-2 data to determine areas where double-bounce represents the primary scattering mechanism and is indicative of flooded vegetation in these landscapes. Third, they are testing advanced interferometric SAR techniques to estimate water levels with RADARSAT-2 Fine Quad polarimetric image pairs. The combined information from these three SAR analysis activities will provide TWGCRN scientists with an integrated view and monitoring capability for these dynamic wetland-upland landscapes. These data are being used in conjunction with other remote sensing and field data to study interactions between landscape and animal (birds and amphibians) responses to climate/global change.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Remote Sensing and Hydrology (Proceedings of a symposium held at Jackson Hole, Wyoming, USA, September 2010) (IAHS Publ. 352, 2012)","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Remote Sensing and Hydrology 2010 Symposium","conferenceDate":"September 27-30, 2010","conferenceLocation":"Jackson Hole, Wyoming","language":"English","publisher":"IAHS","usgsCitation":"Kaya, S., Brisco, B., Cull, A., Gallant, A.L., Sadinski, W.J., and Thompson, D., 2012, Canadian SAR remote sensing for the Terrestrial Wetland Global Change Research Network (TWGCRN), in Remote Sensing and Hydrology (Proceedings of a symposium held at Jackson Hole, Wyoming, USA, September 2010) (IAHS Publ. 352, 2012), Jackson Hole, Wyoming, September 27-30, 2010, p. 380-383.","productDescription":"4 p.","startPage":"380","endPage":"383","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-023892","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":307330,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57fe821de4b0824b2d148459","contributors":{"authors":[{"text":"Kaya, Shannon","contributorId":119420,"corporation":false,"usgs":true,"family":"Kaya","given":"Shannon","affiliations":[],"preferred":false,"id":569543,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brisco, Brian","contributorId":37665,"corporation":false,"usgs":true,"family":"Brisco","given":"Brian","email":"","affiliations":[],"preferred":false,"id":569544,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cull, Andrew","contributorId":117263,"corporation":false,"usgs":true,"family":"Cull","given":"Andrew","email":"","affiliations":[],"preferred":false,"id":569545,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gallant, Alisa L. 0000-0002-3029-6637 gallant@usgs.gov","orcid":"https://orcid.org/0000-0002-3029-6637","contributorId":2940,"corporation":false,"usgs":true,"family":"Gallant","given":"Alisa","email":"gallant@usgs.gov","middleInitial":"L.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":569546,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sadinski, Walter J. wsadinski@usgs.gov","contributorId":3287,"corporation":false,"usgs":true,"family":"Sadinski","given":"Walter","email":"wsadinski@usgs.gov","middleInitial":"J.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":569547,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Thompson, Dean","contributorId":120162,"corporation":false,"usgs":true,"family":"Thompson","given":"Dean","email":"","affiliations":[],"preferred":false,"id":569548,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70173466,"text":"70173466 - 2012 - Can migration mitigate the effects of ecosystem change? 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The population with the largest average migration distance also had the least reduction in size-at-age during a period of signifi cant ecosystem change and among the highest estimated consumption and activity rates. In comparison, the population with the greatest declines in size-at-age was among the least mobile, demonstrating only moderate rates of consumption and activity. The least mobile population of lake whitefi sh was supported by a remnant Diporeia population and has experienced only moderate temporal growth declines. Our study provides evidence for the potential role of migration in mitigating the effects of ecosystem change on lake whitefi sh populations.
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LAVegMod divides the original 5-habitat model for the Louisiana coast into 19 vegetation types. LAVegMod provides longer estimates of interannual variation in aboveground biomass; however, biomass varies with vegetation type. The model is intended as a tool for protection and restoration planning that provides repeatable estimates of the changes in species composition based on changes in hydrology and wetland area. 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The estimate of the number of undiscovered deposits at different levels of probability is the input to the EMINERS (Economic Mineral Resource Simulator) program. EMINERS uses a Monte Carlo statistical process to combine probabilistic estimates of undiscovered mineral deposits with models of mineral deposit grade and tonnage to estimate mineral resources. Version 3.0 of the EMINERS program is available as this USGS Open-File Report 2004-1344. Changes from version 2.0 include updating 87 grade and tonnage models, designing new templates to produce graphs showing cumulative distribution and summary tables, and disabling economic filters. The economic filters were disabled because embedded data for costs of labor and materials, mining techniques, and beneficiation methods are out of date. However, the cost algorithms used in the disabled economic filters are still in the program and available for reference for mining methods and milling techniques. The release notes included with this report give more details on changes in EMINERS over the years. EMINERS is written in C++ and depends upon the Microsoft Visual C++ 6.0 programming environment. The code depends heavily on the use of Microsoft Foundation Classes (MFC) for implementation of the Windows interface. The program works only on Microsoft Windows XP or newer personal computers. It does not work on Macintosh computers. For help in using the program in this report, see the \"Quick-Start Guide for Version 3.0 of EMINERS-Economic Mineral Resource Simulator\" (W.J. Bawiec and G.T. Spanski, 2012, USGS Open-File Report 2009-1057, linked at right). 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Section 6.6. Alkalinity and acid neutralizing capacity","interactions":[],"lastModifiedDate":"2019-05-28T12:21:40","indexId":"twri09A6.6","displayToPublicDate":"1999-01-10T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":336,"text":"Techniques of Water-Resources Investigations","code":"TWRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"09-A6.6","title":"Chapter A6. Section 6.6. Alkalinity and acid neutralizing capacity","docAbstract":"Alkalinity (determined on a filtered sample) and Acid Neutralizing Capacity (ANC) (determined on a whole-water sample) are measures of the ability of a water sample to neutralize strong acid. 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U.S. Geological Survey
12201 Sunrise Valley Drive
Reston, VA 20192
Email: nfm@usgs.gov
","tableOfContents":"No abstract available.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Encyclopedia of modern coral reefs: Structure, form and process","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-90-481-2639-2_195","usgsCitation":"Lidz, B., 2011, Calcrete/caliche, chap. of Encyclopedia of modern coral reefs: Structure, form and process, p. 180-181, https://doi.org/10.1007/978-90-481-2639-2_195.","productDescription":"2 p.","startPage":"180","endPage":"181","ipdsId":"IP-009888","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":423044,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lidz, Barbara H","contributorId":331886,"corporation":false,"usgs":true,"family":"Lidz","given":"Barbara H","affiliations":[],"preferred":true,"id":889028,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70227301,"text":"70227301 - 2011 - Evaluation of two forms of electroanesthesia and carbon dioxide for short-term anesthesia in walleye","interactions":[],"lastModifiedDate":"2022-01-07T17:41:42.8598","indexId":"70227301","displayToPublicDate":"2021-11-28T11:37:54","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of two forms of electroanesthesia and carbon dioxide for short-term anesthesia in walleye","docAbstract":"Anesthetics immobilize fish, reducing physical damage and stress during aquaculture practices, stock assessment, and experimental procedures. Currently, only tricaine methanesulfonate (MS-222) is approved for use as an anesthetic for food fish in Canada and the United States; however, MS-222 can only be used with certain fish species, and treated fish must be held for a specified period of time before release into the wild. Two forms of electroanesthesia and carbon dioxide (CO2) were evaluated as anesthetics for adult walleye Sander vitreus to determine their suitability for use before intracoelomic implantation of telemetry transmitters. Walleyes were subjected to one of three treatment groups: constant direct current (CDC), pulsed direct current (PDC), and CO2. Fish subjected to these treatments were monitored for induction (where appropriate) and recovery time and whether these forms of anesthesia were conducive to implanting telemetry transmitters, that is, whether they fit a surgery threshold range of 250–350 s. Additionally, all fish were monitored for posttrial survival, and radiographs were taken to determine whether any vertebral damage was associated with the electroanesthesia treatments. Although all anesthetic treatments successfully immobilized fish for enough time to implant a transmitter, PDC electroanesthesia is recommended because of its immediate induction time, quick recovery, high immediate and short-term survival, and lack of evidence of vertebral abnormalities.
","language":"English","publisher":"American Fisheries Society","doi":"10.1080/02755947.2011.629717","usgsCitation":"Vandergoot, C.S., Murchie, K.J., Cooke, S., Dettmers, J.M., Bergstedt, R.A., and Fielder, D., 2011, Evaluation of two forms of electroanesthesia and carbon dioxide for short-term anesthesia in walleye: North American Journal of Fisheries Management, v. 31, no. 5, p. 914-922, https://doi.org/10.1080/02755947.2011.629717.","productDescription":"9 p.","startPage":"914","endPage":"922","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":394031,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"5","noUsgsAuthors":false,"publicationDate":"2011-11-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Vandergoot, Christopher S.","contributorId":71849,"corporation":false,"usgs":false,"family":"Vandergoot","given":"Christopher","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":830362,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Murchie, Karen J","contributorId":149697,"corporation":false,"usgs":false,"family":"Murchie","given":"Karen","email":"","middleInitial":"J","affiliations":[{"id":17787,"text":"College of The Bahamas","active":true,"usgs":false}],"preferred":false,"id":830363,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cooke, Steven J.","contributorId":56132,"corporation":false,"usgs":false,"family":"Cooke","given":"Steven J.","affiliations":[{"id":36574,"text":"Carleton University, Ottawa, Ontario","active":true,"usgs":false}],"preferred":false,"id":830364,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dettmers, John M.","contributorId":191256,"corporation":false,"usgs":false,"family":"Dettmers","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":830365,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bergstedt, Roger A. rbergstedt@usgs.gov","contributorId":4174,"corporation":false,"usgs":true,"family":"Bergstedt","given":"Roger","email":"rbergstedt@usgs.gov","middleInitial":"A.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":830366,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fielder, David G.","contributorId":85434,"corporation":false,"usgs":true,"family":"Fielder","given":"David G.","affiliations":[],"preferred":false,"id":830367,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70005585,"text":"ofr20111258 - 2011 - Notes on interpretation of geophysical data over areas of mineralization in Afghanistan","interactions":[],"lastModifiedDate":"2020-01-15T09:44:52","indexId":"ofr20111258","displayToPublicDate":"2020-01-15T10:50:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-1258","displayTitle":"Notes on Interpretation of Geophysical Data Over Areas of Mineralization in Afghanistan","title":"Notes on interpretation of geophysical data over areas of mineralization in Afghanistan","docAbstract":"Afghanistan has the potential to contain substantial metallic mineral resources. Although valuable mineral deposits have been identified, much of the country’s potential remains unknown. Geophysical surveys, particularly those conducted from airborne platforms, are a well-accepted and cost-effective method for obtaining information on the geological setting of a given area. This report summarizes interpretive findings from various geophysical surveys over selected mineral targets in Afghanistan, highlighting what existing data tell us. These interpretations are mainly qualitative in nature, because of the low resolution of available geophysical data.
Geophysical data and simple interpretations are included for these six areas and deposit types: (1) Aynak: Sedimentary-hosted copper; (2) Zarkashan: Porphyry copper; (3) Kundalan: Porphyry copper; (4) Dusar Shaida: Volcanic-hosted massive sulphide; (5) Khanneshin: Carbonatite-hosted rare earth element; and (6) Chagai Hills: Porphyry copper.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111258","usgsCitation":"Drenth, B.J., 2011, Notes on interpretation of geophysical data over areas of mineralization in Afghanistan: U.S. Geological Survey Open-File Report 2011–1258, 13 p.","productDescription":"iv, 13 p.","numberOfPages":"17","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":371064,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2011/1258/ofr20111258.pdf","text":"Report","size":"9.28 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2011-1258"},{"id":371063,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2011/1258/coverthb4.jpg"}],"country":"Afghanistan","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 60,29 ], [ 60,38 ], [ 75,38 ], [ 75,29 ], [ 60,29 ] ] ] } } ] }","contact":"Crustal Geophysics and Geochemistry Science Center
Box 25046, Mail Stop 964
Denver, CO 80225
As part of the U.S. Geological Survey (USGS) and Department of Defense Task Force for Business and Stability Operations (TFBSO) natural resources revitalization activities in Afghanistan (Peters and others, 2011), three new datasets have been collected, compiled, and analyzed. These data have been used to more fully evaluate the areas of interest (AOIs; fig. 1 ) where, on the basis of previous U.S.S.R. and Afghanistan studies, the opportunity for early economic development of a number of different mineral, commodity, and deposit types had been identified (Peters and others, 2007; Peters and others, 2011). The new data compilations include (1) regional magnetic and gravity data for use in the characterization of subsurface composition and structure (Sweeney and others, 2006a,b; Ashan and others, 2007; Sweeney and others, 2007; Ashan and others, 2008; Shenwary and others, 2011), (2) Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data to identify and evaluate surficial alteration patterns related to industrial minerals and other selected targets, and (3) HyMap imaging spectrometer data for characterization and mapping of surficial mineralogy (Cocks and others, 1998; Kokaly and others, 2008; Peters and others, 2011). These datasets have served as fundamental building blocks for the resource evaluation by Peters and others (2011).
During the independent analysis of the geophysical, ASTER, and imaging spectrometer (HyMap) data by USGS scientists, previously unrecognized targets of potential mineralization were identified using evaluation criteria most suitable to the individual dataset. These anomalous zones offer targets of opportunity that warrant additional field verification. This report describes the standards used to define the anomalies, summarizes the results of the evaluations for each type of data, and discusses the importance and implications of regions of anomaly overlap between two or three of the datasets.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111229","collaboration":"Prepared in cooperation with the U.S. Department of Defense Task Force for Business and Stability Operations and the Afghanistan Geological Survey","usgsCitation":"King, T.V.V., Johnson, M.R., Hubbard, B.E., and Drenth, B.J., eds., 2011, Identification of mineral resources in Afghanistan—Detecting and mapping resource anomalies in prioritized areas using geophysical and remote sensing (ASTER and HyMap) data: U.S. Geological Survey Open-File Report 2011–1229, 327 p.","productDescription":"Report: vi, 327 p.; Dataset; 4 Figures","additionalOnlineFiles":"Y","costCenters":[{"id":537,"text":"Projects in Afghanistan","active":false,"usgs":true}],"links":[{"id":116565,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2011/1229/coverthb.png"},{"id":370552,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2011/1229/ofr20111229.pdf","text":"Report","size":"193 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019-1229"},{"id":370553,"rank":3,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/of/2011/1229/report/figures/GEO.zip","text":"Geophysical figures","size":"19.7 MB","linkFileType":{"id":6,"text":"zip"}},{"id":370554,"rank":4,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/of/2011/1229/report/figures/AST.zip","text":"ASTER figures","size":"95.0 MB","linkFileType":{"id":6,"text":"zip"}},{"id":370555,"rank":5,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/of/2011/1229/report/figures/HSD.zip","text":"HyMap hyperspectral figures","size":"251 MB","linkFileType":{"id":6,"text":"zip"}},{"id":370556,"rank":6,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/of/2011/1229/report/figures/Map.zip","text":"Maps","size":"4.65 MB","linkFileType":{"id":6,"text":"zip"}},{"id":370557,"rank":7,"type":{"id":28,"text":"Dataset"},"url":"https://pubs.usgs.gov/of/2011/1229/ofr20111229_dataset.zip","size":"200 KB","linkFileType":{"id":6,"text":"zip"}}],"country":"Afghanistan","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 60,29.5 ], [ 60,38.5 ], [ 73.5,38.5 ], [ 73.5,29.5 ], [ 60,29.5 ] ] ] } } ] }","contact":"Visit the USGS Projects in Afghanistan website
","tableOfContents":"Within the last decade, advances in the acquisition, processing and transmission of data from real-time seismic monitoring systems has contributed to the growth in the number structures instrumented with such systems. An equally important factor for such growth can be attributed to the demands by stakeholders to find rapid answers to important questions related to the functionality (or “state of health”) of structures during and immediately following a seismic event. Hence, rapid and accurate assessment of the damage condition or performance of a building or a lifeline structure is of paramount importance to stakeholders, including owners, leasers, permanent and/or temporary occupants, users of infrastructures, city officials and rescue teams that are concerned with safety of those in the building, and those that may be affected in nearby buildings and infrastructures. In earlier papers, we described how observed data from sensors deployed in structures can be configured to establish seismic health monitoring of structures. In these configurations, drift ratios are the main parametric indicator of damage condition of a building. The process described for buildings can be applied directly for bridges as well. For bridges, the term, “drift ratio” is not generally used; however, relative displacements of critical elements of a bridge can be construed as such. While real-time data from structural arrays indicate that these methods are reliable and provide requisite information for owners and other parties to make informed decisions and to choose among pre-defined actions following significant events, there are several issues related to data ownership, transmission and archiving. This paper examines the real-time seismic monitoring systems deployed mainly in the United States, with particular attention to data issues – handling, dissemination, storage, and archiving. In most cases, due to the numerous channels involved, the deployments in each one of the real-time structures can be considered to be an individual array. Two detailed cases are described that demonstrate the variability in data ownership and dissemination.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Earthquake data in engineering seismology: Predictive models, data management and networks","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer Link","doi":"10.1007/978-94-007-0152-6_16","usgsCitation":"Celebi, M., 2011, Real-time seismic monitoring of structures: Data handling and case studies, chap. of Earthquake data in engineering seismology: Predictive models, data management and networks, v. 14, p. 235-245, https://doi.org/10.1007/978-94-007-0152-6_16.","productDescription":"11 p.","startPage":"235","endPage":"245","ipdsId":"IP-017436","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":364937,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","noUsgsAuthors":false,"publicationDate":"2010-11-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Celebi, Mehmet 0000-0002-4769-7357 celebi@usgs.gov","orcid":"https://orcid.org/0000-0002-4769-7357","contributorId":200969,"corporation":false,"usgs":true,"family":"Celebi","given":"Mehmet","email":"celebi@usgs.gov","affiliations":[],"preferred":true,"id":849688,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70041664,"text":"70041664 - 2011 - Evaluation of approaches and associated uncertainties in the estimation of temperatures in the upper crust of the western United States","interactions":[],"lastModifiedDate":"2019-06-25T09:23:05","indexId":"70041664","displayToPublicDate":"2019-06-21T15:08:08","publicationYear":"2011","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":12,"text":"Conference publication"},"title":"Evaluation of approaches and associated uncertainties in the estimation of temperatures in the upper crust of the western United States","docAbstract":"No abstract available
","publisher":"Geothermal Resources Council annual mtg.","issn":"0193-5933","isbn":"0-934412-96-0","usgsCitation":"Geothermal Resources Council annual mtg., 2011, Evaluation of approaches and associated uncertainties in the estimation of temperatures in the upper crust of the western United States, v. 35, 7 p.","productDescription":"7 p.","startPage":"1599","endPage":"1605","ipdsId":"IP-031449","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":364912,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","noUsgsAuthors":false,"publicationStatus":"PW"} ,{"id":70203883,"text":"70203883 - 2011 - Arsenic in Chinese coals: Distribution, modes of occurrence, and environmental effects","interactions":[],"lastModifiedDate":"2019-06-18T18:27:30","indexId":"70203883","displayToPublicDate":"2019-06-18T18:25:33","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"title":"Arsenic in Chinese coals: Distribution, modes of occurrence, and environmental effects","docAbstract":"Arsenic, one of the most hazardous elements occurring in coals, can be released to the environment during coal processing and combustion. Based on the available literature and published results obtained in our laboratory, the content, distribution and the modes of occurrence of As in Chinese coals, and its environmental and impacts are reviewed in this article. With the 4763 sets of data (from the literature) rearranged, the arithmetic mean As concentration of each province and weighted mean As concentration of the entire country (using the expected coal reserves as the weighting factor) were calculated. The weighted mean As concentration in Chinese coals is 3.18 mg/kg, with As concentration increasing from northern China to southern China. The As concentration in coal varies with coal-forming ages and coal ranks. Arsenic has several modes of occurrence in coals. According to results obtained by other studies and our own experiments, As is mainly associated with mineral matter (such as pyrite and other sulfide minerals) in coals, although a significant amount of arsenic is associated with organic matter. The accumulation of As in coal is controlled by many geological factors during coal-forming processes, including plant decomposition, sedimentary environments, and epigenetic hydrothermal activity. During the combustion of coal, As is released to the air, water, and soil, causing serious environmental pollution. More than 45% of the coal consumed in China is utilized by power plants, and it is estimated that nearly 522 tonnes, 21 tonnes and 252 tonnes of As are emitted into the atmosphere by industries, residential buildings and coal-fired power plants, respectively, every year.
","language":"English","publisher":"Science of the Total Environment","doi":"10.1016/j.scitotenv.2011.10.026","usgsCitation":"Kang, Y., and Liu, G., 2011, Arsenic in Chinese coals: Distribution, modes of occurrence, and environmental effects, v. 412, p. 1-13, https://doi.org/10.1016/j.scitotenv.2011.10.026.","productDescription":"13 p.","startPage":"1","endPage":"13","costCenters":[],"links":[{"id":364805,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"412","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kang, Y.","contributorId":54431,"corporation":false,"usgs":true,"family":"Kang","given":"Y.","email":"","affiliations":[],"preferred":false,"id":764581,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liu, Guijian","contributorId":216351,"corporation":false,"usgs":false,"family":"Liu","given":"Guijian","email":"","affiliations":[],"preferred":false,"id":764582,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70200800,"text":"pp1784 - 2011 - Studies by the U.S. Geological Survey in Alaska, 2010","interactions":[{"subject":{"id":70005116,"text":"pp1784A - 2011 - Constraining the age and magnitude of uplift in the northern National Petroleum Reserve in Alaska (NPRA): Apatite fission-track analysis of samples from three wells","indexId":"pp1784A","publicationYear":"2011","noYear":false,"chapter":"A","title":"Constraining the age and magnitude of uplift in the northern National Petroleum Reserve in Alaska (NPRA): Apatite fission-track analysis of samples from three wells"},"predicate":"IS_PART_OF","object":{"id":70200800,"text":"pp1784 - 2011 - Studies by the U.S. Geological Survey in Alaska, 2010","indexId":"pp1784","publicationYear":"2011","noYear":false,"title":"Studies by the U.S. Geological Survey in Alaska, 2010"},"id":1},{"subject":{"id":70005518,"text":"pp1784B - 2011 - Investigation of the potential for concealed base-metal mineralization at the Drenchwater Creek Zn-Pb-Ag occurrence, northern Alaska, using geology, reconnaissance geochemistry, and airborne electromagnetic geophysics","indexId":"pp1784B","publicationYear":"2011","noYear":false,"chapter":"B","title":"Investigation of the potential for concealed base-metal mineralization at the Drenchwater Creek Zn-Pb-Ag occurrence, northern Alaska, using geology, reconnaissance geochemistry, and airborne electromagnetic geophysics"},"predicate":"IS_PART_OF","object":{"id":70200800,"text":"pp1784 - 2011 - Studies by the U.S. Geological Survey in Alaska, 2010","indexId":"pp1784","publicationYear":"2011","noYear":false,"title":"Studies by the U.S. Geological Survey in Alaska, 2010"},"id":2},{"subject":{"id":70005773,"text":"pp1784C - 2011 - Streamflow and streambed scour in 2010 at bridge 339, Copper River, Alaska","indexId":"pp1784C","publicationYear":"2011","noYear":false,"chapter":"C","title":"Streamflow and streambed scour in 2010 at bridge 339, Copper River, Alaska"},"predicate":"IS_PART_OF","object":{"id":70200800,"text":"pp1784 - 2011 - Studies by the U.S. Geological Survey in Alaska, 2010","indexId":"pp1784","publicationYear":"2011","noYear":false,"title":"Studies by the U.S. Geological Survey in Alaska, 2010"},"id":3}],"lastModifiedDate":"2018-11-01T15:20:21","indexId":"pp1784","displayToPublicDate":"2018-11-01T15:19:55","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1784","title":"Studies by the U.S. Geological Survey in Alaska, 2010","docAbstract":"The collection of papers that follows continues the series of U.S. Geological Survey (USGS) investigative reports in Alaska under the broad umbrella of the geologic sciences. This series represents new and sometimes-preliminary findings that are of interest to Earth scientists in academia, government, and industry; to land and resource managers; and to the general public. The reports presented in Studies by the U.S. Geological Survey in Alaska cover a broad spectrum of topics from various parts of the State, serving to emphasize the diversity of USGS efforts to meet the Nation’s needs for Earth-science information in Alaska. This professional paper is one of a series of “online only” versions of Studies by the U.S. Geological Survey in Alaska, reflecting the current trend toward disseminating research results on the World Wide Web with rapid posting of completed reports.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1784","usgsCitation":"2011, Studies by the U.S. Geological Survey in Alaska, 2010: U.S. Geological Survey Professional Paper 1784, 3 Chapters, https://doi.org/10.3133/pp1784.","productDescription":"3 Chapters","onlineOnly":"Y","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":359088,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":359087,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1784/","text":"Index Page","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Alaska","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c10bfcce4b034bf6a7f106f","contributors":{"editors":[{"text":"Dumoulin, Julie A. 0000-0003-1754-1287 dumoulin@usgs.gov","orcid":"https://orcid.org/0000-0003-1754-1287","contributorId":203209,"corporation":false,"usgs":true,"family":"Dumoulin","given":"Julie","email":"dumoulin@usgs.gov","middleInitial":"A.","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":750581,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Dusel-Bacon, Cynthia 0000-0001-8481-739X cdusel@usgs.gov","orcid":"https://orcid.org/0000-0001-8481-739X","contributorId":2797,"corporation":false,"usgs":true,"family":"Dusel-Bacon","given":"Cynthia","email":"cdusel@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":750582,"contributorType":{"id":2,"text":"Editors"},"rank":2}]}} ,{"id":70101104,"text":"70101104 - 2011 - Strong ground motion in Port-au-Prince, Haiti, during the M7.0 12 January 2010 Haiti earthquake","interactions":[],"lastModifiedDate":"2017-01-19T12:02:48","indexId":"70101104","displayToPublicDate":"2016-12-01T12:53:51","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Strong ground motion in Port-au-Prince, Haiti, during the M7.0 12 January 2010 Haiti earthquake","docAbstract":"Since the days of MacArthur, three-dimensional (3-D) structural information on the environment has fundamentally transformed scientific understanding of ecological phenomena (MacArthur and MacArthur 1961). Early data on ecosystem structure were painstakingly laborious to collect. However, as reviewed and reported in recent volumes of Frontiers(eg Vierling et al. 2008; Asner et al.2011), advances in light detection and ranging (LiDAR) remote-sensing technology provide quantitative and repeatable measurements of 3-D ecosystem structure that enable novel ecological insights at scales ranging from the plot, to the landscape, to the globe. Indeed, annual publication of studies using LiDAR to interpret ecological phenomena increased 17-fold during the past decade, with over 180 new studies appearing in 2010 (ISI Web of Science search conducted on 23 Mar 2011: [{lidar AND ecol*} OR {lidar AND fores*} OR {lidar AND plant*}]).
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