{"pageNumber":"643","pageRowStart":"16050","pageSize":"25","recordCount":46677,"records":[{"id":70173757,"text":"70173757 - 2012 - Spatio-temporal variation in male white-tailed deer harvest rates in Pennsylvania: Implications for estimating abundance","interactions":[],"lastModifiedDate":"2016-08-24T12:28:25","indexId":"70173757","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Spatio-temporal variation in male white-tailed deer harvest rates in Pennsylvania: Implications for estimating abundance","docAbstract":"<p><span>The performance of 2 popular methods that use age-at-harvest data to estimate abundance of white-tailed deer is contingent on assumptions about variation in estimates of subadult (1.5&thinsp;yr old) and adult (&ge;2.5&thinsp;yr old) male harvest rates. Auxiliary data (e.g., estimates of survival or harvest rates from radiocollared animals) can be used to relax some assumptions, but unless these population parameters exhibit limited temporal or spatial variation, these auxiliary data may not improve accuracy. Unfortunately maintaining sufficient sample sizes of radiocollared deer for parameter estimation in every wildlife management unit (WMU) is not feasible for most state agencies. We monitored the fates of 397 subadult and 225 adult male white-tailed deer across 4 WMUs from 2002 to 2008 using radio telemetry. We investigated spatial and temporal variation in harvest rates and investigated covariates related to the patterns observed. We found that most variation in harvest rates was explained spatially and that adult harvest rates (0.36&ndash;0.69) were more variable among study areas than subadult harvest rates (0.26&ndash;0.42). We found that hunter effort during the archery and firearms season best explained variation in harvest rates of adult males among WMUs, whereas hunter effort during only the firearms season best explained harvest rates for subadult males. From a population estimation perspective, it is advantageous that most variation was spatial and explained by a readily obtained covariate (hunter effort). However, harvest rates may vary if hunting regulations or hunter behavior change, requiring additional field studies to obtain accurate estimates of harvest rates.&nbsp;</span></p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.249","usgsCitation":"Norton, A.S., Diefenbach, D.R., Wallingford, B.D., and Rosenberry, C.S., 2012, Spatio-temporal variation in male white-tailed deer harvest rates in Pennsylvania: Implications for estimating abundance: Journal of Wildlife Management, v. 76, no. 1, p. 136-143, https://doi.org/10.1002/jwmg.249.","productDescription":"8 p.","startPage":"136","endPage":"143","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-025517","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":323319,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","county":"Armstrong County, Centre County, Clearfield County, Clinton County, Cumberland County, Juniata County, Perry 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PSC"},"noUsgsAuthors":false,"publicationDate":"2011-09-27","publicationStatus":"PW","scienceBaseUri":"57594233e4b04f417c256996","contributors":{"authors":[{"text":"Norton, Andrew S.","contributorId":171631,"corporation":false,"usgs":false,"family":"Norton","given":"Andrew","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":638130,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Diefenbach, Duane R. 0000-0001-5111-1147 drd11@usgs.gov","orcid":"https://orcid.org/0000-0001-5111-1147","contributorId":5235,"corporation":false,"usgs":true,"family":"Diefenbach","given":"Duane","email":"drd11@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":638069,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wallingford, Bret D.","contributorId":171632,"corporation":false,"usgs":false,"family":"Wallingford","given":"Bret","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":638131,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rosenberry, Christopher S.","contributorId":171633,"corporation":false,"usgs":false,"family":"Rosenberry","given":"Christopher","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":638132,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70032499,"text":"70032499 - 2012 - Rapid microsatellite identification from illumina paired-end genomic sequencing in two birds and a snake","interactions":[],"lastModifiedDate":"2020-12-01T16:46:54.8807","indexId":"70032499","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Rapid microsatellite identification from illumina paired-end genomic sequencing in two birds and a snake","docAbstract":"<p><span>Identification of microsatellites, or simple sequence repeats (SSRs), can be a time-consuming and costly investment requiring enrichment, cloning, and sequencing of candidate loci. Recently, however, high throughput sequencing (with or without prior enrichment for specific SSR loci) has been utilized to identify SSR loci. The direct “Seq-to-SSR” approach has an advantage over enrichment-based strategies in that it does not require&nbsp;</span><i>a priori</i><span>&nbsp;selection of particular motifs, or prior knowledge of genomic SSR content. It has been more expensive per SSR locus recovered, however, particularly for genomes with few SSR loci, such as bird genomes. The longer but relatively more expensive 454 reads have been preferred over less expensive Illumina reads. Here, we use Illumina paired-end sequence data to identify potentially amplifiable SSR loci (PALs) from a snake (the Burmese python,&nbsp;</span><i>Python molurus bivittatus</i><span>), and directly compare these results to those from 454 data. We also compare the python results to results from Illumina sequencing of two bird genomes (Gunnison Sage-grouse,&nbsp;</span><i>Centrocercus minimus</i><span>, and Clark's Nutcracker,&nbsp;</span><i>Nucifraga columbiana</i><span>), which have considerably fewer SSRs than the python. We show that direct Illumina Seq-to-SSR can identify and characterize thousands of potentially amplifiable SSR loci for as little as $10 per sample – a fraction of the cost of 454 sequencing. Given that Illumina Seq-to-SSR is effective, inexpensive, and reliable even for species such as birds that have few SSR loci, it seems that there are now few situations for which prior hybridization is justifiable.</span></p>","language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0030953","issn":"19326203","usgsCitation":"Castoe, T., Poole, A., de Koning, A., Jones, K., Tomback, D., Oyler-McCance, S.J., Fike, J.A., Lance, S., Streicher, J., Smith, E., and Pollock, D., 2012, Rapid microsatellite identification from illumina paired-end genomic sequencing in two birds and a snake: PLoS ONE, v. 7, no. 2, e30953, 10 p., https://doi.org/10.1371/journal.pone.0030953.","productDescription":"e30953, 10 p.","onlineOnly":"Y","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":474679,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0030953","text":"Publisher Index Page"},{"id":214000,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0030953"},{"id":241684,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"2","noUsgsAuthors":false,"publicationDate":"2012-02-14","publicationStatus":"PW","scienceBaseUri":"505a94f3e4b0c8380cd81700","contributors":{"authors":[{"text":"Castoe, T.A.","contributorId":78951,"corporation":false,"usgs":true,"family":"Castoe","given":"T.A.","affiliations":[],"preferred":false,"id":436487,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Poole, A.W.","contributorId":86181,"corporation":false,"usgs":true,"family":"Poole","given":"A.W.","email":"","affiliations":[],"preferred":false,"id":436488,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"de Koning, A. P. J.","contributorId":89363,"corporation":false,"usgs":true,"family":"de Koning","given":"A. P. J.","affiliations":[],"preferred":false,"id":436489,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jones, K.L.","contributorId":102024,"corporation":false,"usgs":true,"family":"Jones","given":"K.L.","email":"","affiliations":[],"preferred":false,"id":436492,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tomback, D.F.","contributorId":91805,"corporation":false,"usgs":true,"family":"Tomback","given":"D.F.","affiliations":[],"preferred":false,"id":436490,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Oyler-McCance, Sara J. 0000-0003-1599-8769 sara_oyler-mccance@usgs.gov","orcid":"https://orcid.org/0000-0003-1599-8769","contributorId":1973,"corporation":false,"usgs":true,"family":"Oyler-McCance","given":"Sara","email":"sara_oyler-mccance@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":436486,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fike, Jennifer A. 0000-0001-8797-7823 fikej@usgs.gov","orcid":"https://orcid.org/0000-0001-8797-7823","contributorId":140875,"corporation":false,"usgs":true,"family":"Fike","given":"Jennifer","email":"fikej@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":436491,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lance, S.L.","contributorId":45414,"corporation":false,"usgs":true,"family":"Lance","given":"S.L.","email":"","affiliations":[],"preferred":false,"id":436485,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Streicher, J.W.","contributorId":30462,"corporation":false,"usgs":true,"family":"Streicher","given":"J.W.","affiliations":[],"preferred":false,"id":436483,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Smith, E.N.","contributorId":42796,"corporation":false,"usgs":true,"family":"Smith","given":"E.N.","email":"","affiliations":[],"preferred":false,"id":436484,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Pollock, D.D.","contributorId":28081,"corporation":false,"usgs":true,"family":"Pollock","given":"D.D.","email":"","affiliations":[],"preferred":false,"id":436482,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70032386,"text":"70032386 - 2012 - Application of a weighted-averaging method for determining paleosalinity: a tool for restoration of south Florida's estuaries","interactions":[],"lastModifiedDate":"2013-04-08T22:28:07","indexId":"70032386","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Application of a weighted-averaging method for determining paleosalinity: a tool for restoration of south Florida's estuaries","docAbstract":"A molluscan analogue dataset is presented in conjunction with a weighted-averaging technique as a tool for estimating past salinity patterns in south Florida’s estuaries and developing targets for restoration based on these reconstructions. The method, here referred to as cumulative weighted percent (CWP), was tested using modern surficial samples collected in Florida Bay from sites located near fixed water monitoring stations that record salinity. The results were calibrated using species weighting factors derived from examining species occurrence patterns. A comparison of the resulting calibrated species-weighted CWP (SW-CWP) to the observed salinity at the water monitoring stations averaged over a 3-year time period indicates, on average, the SW-CWP comes within less than two salinity units of estimating the observed salinity. The SW-CWP reconstructions were conducted on a core from near the mouth of Taylor Slough to illustrate the application of the method.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Estuaries and Coasts","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s12237-011-9441-3","issn":"15592723","usgsCitation":"Wingard, G., and Hudley, J., 2012, Application of a weighted-averaging method for determining paleosalinity: a tool for restoration of south Florida's estuaries: Estuaries and Coasts, v. 35, no. 1, p. 262-280, https://doi.org/10.1007/s12237-011-9441-3.","productDescription":"19 p.","startPage":"262","endPage":"280","costCenters":[{"id":563,"text":"South Florida Information Access","active":false,"usgs":true}],"links":[{"id":213780,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s12237-011-9441-3"},{"id":241438,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -87.63,24.52 ], [ -87.63,31.0 ], [ -80.0,31.0 ], [ -80.0,24.52 ], [ -87.63,24.52 ] ] ] } } ] }","volume":"35","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-09-13","publicationStatus":"PW","scienceBaseUri":"5059ec8be4b0c8380cd49325","contributors":{"authors":[{"text":"Wingard, G.L.","contributorId":79981,"corporation":false,"usgs":true,"family":"Wingard","given":"G.L.","email":"","affiliations":[],"preferred":false,"id":435911,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hudley, J.W.","contributorId":18872,"corporation":false,"usgs":true,"family":"Hudley","given":"J.W.","affiliations":[],"preferred":false,"id":435910,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70032476,"text":"70032476 - 2012 - Water utilization of the Cretaceous Mussentuchit Member local vertebrate fauna, Cedar Mountain Formation, Utah, USA: Using oxygen isotopic composition of phosphate","interactions":[],"lastModifiedDate":"2020-12-01T17:18:14.687551","indexId":"70032476","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2996,"text":"Palaeogeography, Palaeoclimatology, Palaeoecology","printIssn":"0031-0182","active":true,"publicationSubtype":{"id":10}},"title":"Water utilization of the Cretaceous Mussentuchit Member local vertebrate fauna, Cedar Mountain Formation, Utah, USA: Using oxygen isotopic composition of phosphate","docAbstract":"<p id=\"sp0005\">While the oxygen isotopic composition of pedogenic carbonate has successfully been used to address the effects of global climate change on the hydrologic cycle, detailed regional paleohydrologic studies are lacking. Since the hydrologic cycle can vary extensively on local or regional scales due to events such as such as mountain building, and since pedogenic carbonates (calcite) form in a narrow moisture regime, other proxies, such as vertebrate remains, must be used to decipher local<span>&nbsp;</span><i>versus</i><span>&nbsp;</span>regional variations in paleohydrology. In this study, the oxygen isotopic composition (δ<sup>18</sup>O<sub>p</sub>) of phosphatic remains from a diverse set of vertebrate fossils (fish, turtles, crocodiles, dinosaurs, and micro-mammals) from the Mussentuchit Member (MM) of the Cedar Mountain Formation, Utah, USA (Aptian to Cenomanian) are analyzed in order to determine differences among the available water reservoirs and water utilization of each taxon. Calculated changes in water reservoir δ<sup>18</sup>O<sub>w</sub><span>&nbsp;</span>over time are then used to determine the effects of the incursion of the Western Interior Seaway (WIS) and the Sevier Mountains on paleohydrology during the MM time.</p><p id=\"sp0010\">Calculation of δ<sup>18</sup>O<sub>w</sub><span>&nbsp;</span>from the results of isotopic analysis of phosphate oxygen suggests that turtles and crocodiles serve as another proxy for meteoric water δ<sup>18</sup>O that can be used as a measure of average local precipitation δ<sup>18</sup>O<sub>w</sub><span>&nbsp;</span>similar to pedogenic calcite. Pedogenic calcites can be slightly biased toward higher values, however, due to their formation during evaporative conditions. Turtles and crocodiles can be used in place of pedogenic calcite in environments that are not conducive to pedogenic carbonate formation. Remains of fish with rounded tooth morphology have δ<sup>18</sup>O<sub>p</sub><span>&nbsp;</span>values that predict temperatures consistent with other estimates of mean annual temperature for this latitude and time. The δ<sup>18</sup>O<sub>p</sub><span>&nbsp;</span>of ganoid scales and teeth with pointed morphology, however, indicates that these skeletal materials were precipitated from water that is<span>&nbsp;</span><sup>18</sup>O-enriched due to migration to either evaporatively enriched water, or<span>&nbsp;</span><sup>18</sup>O-enriched estuarine waters of the Western Interior Seaway (WIS). Another possibility that cannot be discounted and assuming all morphological remains are from the same taxon, is that the pointed teeth and ganoid scales precipitated at different temperatures than rounded teeth. Mammal and herbivorous dinosaur δ<sup>18</sup>O<sub>p</sub><span>&nbsp;</span>suggests they primarily drank isotopically depleted river water. Co-existence of crocodiles, turtles, and mammals allows for calculation of relative humidity from site to site and these calculations suggest humidity averaged ~&nbsp;58% and ranged between ~&nbsp;42% and ~&nbsp;76%.</p><p id=\"sp0015\">The δ<sup>18</sup>O<sub>w</sub><span>&nbsp;</span>values estimated from semi-aquatic taxa and pedogenic calcite suggest dominance of WIS-derived moisture during their growth. Herbivorous dinosaurs particularly indicate that altitude and catchment effects from the Sevier Mountains are seemingly important for river water δ<sup>18</sup>O<sub>w</sub><span>&nbsp;</span>in the fall through early spring. These data suggest that temporal changes in the isotopic composition of the MM fauna are produced by the small-scale regressive–transgressive cycles of the WIS.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.palaeo.2011.10.011","issn":"00310182","usgsCitation":"Suarez, C., Gonzalez, L.A., Ludvigson, G., Cifelli, R., and Tremain, E., 2012, Water utilization of the Cretaceous Mussentuchit Member local vertebrate fauna, Cedar Mountain Formation, Utah, USA: Using oxygen isotopic composition of phosphate: Palaeogeography, Palaeoclimatology, Palaeoecology, v. 313-314, p. 78-92, https://doi.org/10.1016/j.palaeo.2011.10.011.","productDescription":"15 p.","startPage":"78","endPage":"92","costCenters":[],"links":[{"id":241311,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":213662,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.palaeo.2011.10.011"}],"country":"United States","state":"Utah","otherGeospatial":"Cedar Mountain Formation","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -109.4512939453125,\n              40.250184183819854\n            ],\n            [\n              -109.0777587890625,\n              40.250184183819854\n            ],\n            [\n              -109.0777587890625,\n              40.79301881008675\n            ],\n            [\n              -109.4512939453125,\n              40.79301881008675\n            ],\n            [\n              -109.4512939453125,\n              40.250184183819854\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"313-314","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bccc4e4b08c986b32dcfb","contributors":{"authors":[{"text":"Suarez, C.A.","contributorId":80089,"corporation":false,"usgs":true,"family":"Suarez","given":"C.A.","email":"","affiliations":[],"preferred":false,"id":436383,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gonzalez, Luis A.","contributorId":20922,"corporation":false,"usgs":true,"family":"Gonzalez","given":"Luis","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":436380,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ludvigson, G.A.","contributorId":90528,"corporation":false,"usgs":true,"family":"Ludvigson","given":"G.A.","affiliations":[],"preferred":false,"id":436384,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cifelli, R.L.","contributorId":52798,"corporation":false,"usgs":true,"family":"Cifelli","given":"R.L.","email":"","affiliations":[],"preferred":false,"id":436381,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tremain, E.","contributorId":73416,"corporation":false,"usgs":true,"family":"Tremain","given":"E.","email":"","affiliations":[],"preferred":false,"id":436382,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70032480,"text":"70032480 - 2012 - Evaluating the demographic buffering hypothesis with vital rates estimated for Weddell seals from 30years of mark-recapture data","interactions":[],"lastModifiedDate":"2020-12-01T17:04:51.911188","indexId":"70032480","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2158,"text":"Journal of Animal Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating the demographic buffering hypothesis with vital rates estimated for Weddell seals from 30years of mark-recapture data","docAbstract":"<p><strong>1.</strong><span>&nbsp;</span>Life‐history theory predicts that those vital rates that make larger contributions to population growth rate ought to be more strongly buffered against environmental variability than are those that are less important. Despite the importance of the theory for predicting demographic responses to changes in the environment, it is not yet known how pervasive demographic buffering is in animal populations because the validity of most existing studies has been called into question because of methodological deficiencies.</p><p><strong>2.</strong><span>&nbsp;</span>We tested for demographic buffering in the southern‐most breeding mammal population in the world using data collected from 5558 known‐age female Weddell seals over 30 years. We first estimated all vital rates simultaneously with mark–recapture analysis and then estimated process variance and covariance in those rates using a hierarchical Bayesian approach. We next calculated the population growth rate’s sensitivity to changes in each of the vital rates and tested for evidence of demographic buffering by comparing properly scaled values of sensitivity and process variance in vital rates.</p><p><strong>3.</strong><span>&nbsp;</span>We found evidence of positive process covariance between vital rates, which indicates that all vital rates are affected in the same direction by changes in annual environment. Despite the positive correlations, we found strong evidence that demographic buffering occurred through reductions in variation in the vital rates to which population growth rate was most sensitive. Process variation in vital rates was inversely related to sensitivity measures such that variation was greatest in breeding probabilities, intermediate for survival rates of young animals and lowest for survival rates of older animals.</p><p><strong>4.</strong><span>&nbsp;</span>Our work contributes to a small but growing set of studies that have used rigorous methods on long‐term, detailed data to investigate demographic responses to environmental variation. The information from these studies improves our understanding of life‐history evolution in stochastic environments and provides useful information for predicting population responses to future environmental change. Our results for an Antarctic apex predator also provide useful baselines from a marine ecosystem when its top‐ and middle‐trophic levels were not substantially impacted by human activity.</p>","language":"English","publisher":"British Ecological Society","doi":"10.1111/j.1365-2656.2011.01902.x","issn":"00218790","usgsCitation":"Rotella, J., Link, W.A., Chambert, T., Stauffer, G., and Garrott, R., 2012, Evaluating the demographic buffering hypothesis with vital rates estimated for Weddell seals from 30years of mark-recapture data: Journal of Animal Ecology, v. 81, no. 1, p. 162-173, https://doi.org/10.1111/j.1365-2656.2011.01902.x.","productDescription":"12 p.","startPage":"162","endPage":"173","costCenters":[],"links":[{"id":474650,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1365-2656.2011.01902.x","text":"Publisher Index Page"},{"id":213722,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1365-2656.2011.01902.x"},{"id":241377,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"81","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-09-21","publicationStatus":"PW","scienceBaseUri":"505a0bf6e4b0c8380cd52980","contributors":{"authors":[{"text":"Rotella, J.J.","contributorId":105828,"corporation":false,"usgs":true,"family":"Rotella","given":"J.J.","email":"","affiliations":[],"preferred":false,"id":436404,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Link, William A. 0000-0002-9913-0256 wlink@usgs.gov","orcid":"https://orcid.org/0000-0002-9913-0256","contributorId":146920,"corporation":false,"usgs":true,"family":"Link","given":"William","email":"wlink@usgs.gov","middleInitial":"A.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":436400,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chambert, T.","contributorId":51102,"corporation":false,"usgs":true,"family":"Chambert","given":"T.","affiliations":[],"preferred":false,"id":436402,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stauffer, G.E.","contributorId":59253,"corporation":false,"usgs":true,"family":"Stauffer","given":"G.E.","email":"","affiliations":[],"preferred":false,"id":436403,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Garrott, R.A.","contributorId":40705,"corporation":false,"usgs":true,"family":"Garrott","given":"R.A.","affiliations":[],"preferred":false,"id":436401,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70032606,"text":"70032606 - 2012 - Reducing uncertainty about objective functions in adaptive management","interactions":[],"lastModifiedDate":"2020-11-30T17:51:50.10832","indexId":"70032606","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Reducing uncertainty about objective functions in adaptive management","docAbstract":"<p><span>This paper extends the uncertainty framework of adaptive management to include uncertainty about the objectives to be used in guiding decisions. Adaptive decision making typically assumes explicit and agreed-upon objectives for management, but allows for uncertainty as to the structure of the decision process that generates change through time. Yet it is not unusual for there to be uncertainty (or disagreement) about objectives, with different stakeholders expressing different views not only about resource responses to management but also about the appropriate management objectives. In this paper I extend the treatment of uncertainty in adaptive management, and describe a stochastic structure for the joint occurrence of uncertainty about objectives as well as models, and show how adaptive decision making and the assessment of post-decision monitoring data can be used to reduce uncertainties of both kinds. Different degrees of association between model and objective uncertainty lead to different patterns of learning about objectives.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2011.11.009","issn":"03043800","usgsCitation":"Williams, B.K., 2012, Reducing uncertainty about objective functions in adaptive management: Ecological Modelling, v. 225, p. 61-65, https://doi.org/10.1016/j.ecolmodel.2011.11.009.","productDescription":"5 p.","startPage":"61","endPage":"65","costCenters":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"links":[{"id":241728,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":214041,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.ecolmodel.2011.11.009"}],"volume":"225","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e4a3d2e4b0e8fec6cdb9b8","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":437032,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70032584,"text":"70032584 - 2012 - Foraging segregation and genetic divergence between geographically proximate colonies of a highly mobile seabird","interactions":[],"lastModifiedDate":"2020-11-30T20:05:34.775007","indexId":"70032584","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2932,"text":"Oecologia","active":true,"publicationSubtype":{"id":10}},"title":"Foraging segregation and genetic divergence between geographically proximate colonies of a highly mobile seabird","docAbstract":"<p><span>Foraging segregation may play an important role in the maintenance of animal diversity, and is a proposed mechanism for promoting genetic divergence within seabird species. However, little information exists regarding its presence among seabird populations. We investigated genetic and foraging divergence between two colonies of endangered Hawaiian petrels (</span><i>Pterodroma sandwichensis</i><span>) nesting on the islands of Hawaii and Kauai using the mitochondrial&nbsp;</span><i>Cytochrome b</i><span>&nbsp;gene and carbon, nitrogen and hydrogen isotope values (δ</span><sup>13</sup><span>C, δ</span><sup>15</sup><span>N and δD, respectively) of feathers. Genetic analyses revealed strong differentiation between colonies on Hawaii and Kauai, with Φ</span><sub>ST</sub><span>&nbsp;=&nbsp;0.50 (</span><i>p</i><span>&nbsp;&lt;&nbsp;0.0001). Coalescent-based analyses gave estimates of &lt;1 migration event per 1,000 generations. Hatch-year birds from Kauai had significantly lower δ</span><sup>13</sup><span>C and δ</span><sup>15</sup><span>N values than those from Hawaii. This is consistent with Kauai birds provisioning chicks with prey derived from near or north of the Hawaiian Islands, and Hawaii birds provisioning young with prey from regions of the equatorial Pacific characterized by elevated δ</span><sup>15</sup><span>N values at the food web base. δ</span><sup>15</sup><span>N values of Kauai and Hawaii adults differed significantly, indicating additional foraging segregation during molt. Feather δD varied from −69 to 53‰. This variation cannot be related solely to an isotopically homogeneous ocean water source or evaporative water loss. Instead, we propose the involvement of salt gland excretion. Our data demonstrate the presence of foraging segregation between proximately nesting seabird populations, despite high species mobility. This ecological diversity may facilitate population coexistence, and its preservation should be a focus of conservation strategies.</span></p>","language":"English","publisher":"Springer- Verlag","doi":"10.1007/s00442-011-2085-y","issn":"00298549","usgsCitation":"Wiley, A.E., Welch, A., Ostrom, P., James, H.F., Stricker, C.A., Fleischer, R., Gandhi, H., Adams, J., Ainley, D., Duvall, F., Holmes, N., Hu, D., Judge, S., Penniman, J., and Swindle, K., 2012, Foraging segregation and genetic divergence between geographically proximate colonies of a highly mobile seabird: Oecologia, v. 168, no. 1, p. 119-130, https://doi.org/10.1007/s00442-011-2085-y.","productDescription":"12 p.","startPage":"119","endPage":"130","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research 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G.","affiliations":[],"preferred":false,"id":436929,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Duvall, F.","contributorId":89250,"corporation":false,"usgs":true,"family":"Duvall","given":"F.","email":"","affiliations":[],"preferred":false,"id":436933,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Holmes, N.","contributorId":105131,"corporation":false,"usgs":true,"family":"Holmes","given":"N.","email":"","affiliations":[],"preferred":false,"id":436935,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Hu, D.","contributorId":11420,"corporation":false,"usgs":true,"family":"Hu","given":"D.","email":"","affiliations":[],"preferred":false,"id":436921,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Judge, S.","contributorId":99785,"corporation":false,"usgs":true,"family":"Judge","given":"S.","affiliations":[],"preferred":false,"id":436934,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Penniman, J.","contributorId":16661,"corporation":false,"usgs":true,"family":"Penniman","given":"J.","email":"","affiliations":[],"preferred":false,"id":436922,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Swindle, K.A.","contributorId":56414,"corporation":false,"usgs":true,"family":"Swindle","given":"K.A.","email":"","affiliations":[],"preferred":false,"id":436927,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70032249,"text":"70032249 - 2012 - Geometry and subsidence history of the Dead Sea basin: A case for fluid-induced mid-crustal shear zone?","interactions":[],"lastModifiedDate":"2020-12-04T14:04:20.924152","indexId":"70032249","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Geometry and subsidence history of the Dead Sea basin: A case for fluid-induced mid-crustal shear zone?","docAbstract":"<div class=\"article-section__content en main\"><p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span class=\"paraNumber\"><span></span></span></span>Pull‐apart basins are narrow zones of crustal extension bounded by strike‐slip faults that can serve as analogs to the early stages of crustal rifting. We use seismic tomography, 2‐D ray tracing, gravity modeling, and subsidence analysis to study crustal extension of the Dead Sea basin (DSB), a large and long‐lived pull‐apart basin along the Dead Sea transform (DST). The basin gradually shallows southward for 50 km from the only significant transverse normal fault. Stratigraphic relationships there indicate basin elongation with time. The basin is deepest (8–8.5 km) and widest (∼15 km) under the Lisan about 40 km north of the transverse fault. Farther north, basin depth is ambiguous, but is 3 km deep immediately north of the lake. The underlying pre‐basin sedimentary layer thickens gradually from 2 to 3 km under the southern edge of the DSB to 3–4 km under the northern end of the lake and 5–6 km farther north. Crystalline basement is ∼11 km deep under the deepest part of the basin. The upper crust under the basin has lower<i>P</i>wave velocity than in the surrounding regions, which is interpreted to reflect elevated pore fluids there. Within data resolution, the lower crust below ∼18 km and the Moho are not affected by basin development. The subsidence rate was several hundreds of m/m.y. since the development of the DST ∼17 Ma, similar to other basins along the DST, but subsidence rate has accelerated by an order of magnitude during the Pleistocene, which allowed the accumulation of 4 km of sediment. We propose that the rapid subsidence and perhaps elongation of the DSB are due to the development of inter‐connected mid‐crustal ductile shear zones caused by alteration of feldspar to muscovite in the presence of pore fluids. This alteration resulted in a significant strength decrease and viscous creep. We propose a similar cause to the enigmatic rapid subsidence of the North Sea at the onset the North Atlantic mantle plume. Thus, we propose that aqueous fluid flux into a slowly extending continental crust can cause rapid basin subsidence that may be erroneously interpreted as an increased rate of tectonic activity.</p></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2011JB008711","issn":"01480227","usgsCitation":"ten Brink, U., and Flores, C., 2012, Geometry and subsidence history of the Dead Sea basin: A case for fluid-induced mid-crustal shear zone?: Journal of Geophysical Research B: Solid Earth, v. 117, no. B1, B01406, 21 p., https://doi.org/10.1029/2011JB008711.","productDescription":"B01406, 21 p.","costCenters":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"links":[{"id":474621,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/1912/5034","text":"External Repository"},{"id":242408,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":214663,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2011JB008711"}],"country":"United States","otherGeospatial":"Dead Sea shoreline","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              30.47607421875,\n              47.040182144806664\n            ],\n            [\n              28.14697265625,\n              45.49094569262732\n            ],\n            [\n              26.455078125,\n              42.374778361114195\n            ],\n            [\n              27.94921875,\n              41.178653972331674\n            ],\n            [\n              30.695800781249996,\n              43.068887774169625\n            ],\n            [\n              32.2119140625,\n              46.9502622421856\n            ],\n            [\n              31.003417968749996,\n              47.3834738721015\n            ],\n            [\n              30.47607421875,\n              47.040182144806664\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"117","issue":"B1","noUsgsAuthors":false,"publicationDate":"2012-01-13","publicationStatus":"PW","scienceBaseUri":"505a276be4b0c8380cd59888","contributors":{"authors":[{"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":435239,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flores, C.H.","contributorId":104693,"corporation":false,"usgs":true,"family":"Flores","given":"C.H.","email":"","affiliations":[],"preferred":false,"id":435240,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70035463,"text":"70035463 - 2012 - GONe: Software for estimating effective population size in species with generational overlap","interactions":[],"lastModifiedDate":"2020-11-23T17:10:47.117736","indexId":"70035463","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2776,"text":"Molecular Ecology Resources","active":true,"publicationSubtype":{"id":10}},"title":"GONe: Software for estimating effective population size in species with generational overlap","docAbstract":"<p>GONe is a user‐friendly, Windows‐based program for estimating effective size (N<span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><i></i></span><sub>e</sub>) in populations with overlapping generations. It uses the Jorde–Ryman modification to the temporal method to account for age structure in populations. This method requires estimates of age‐specific survival and birth rate and allele frequencies measured in two or more consecutive cohorts. Allele frequencies are acquired by reading in genotypic data from files formatted for either GENEPOP or TEMPOFS. For each interval between consecutive cohorts, Ne is estimated at each locus and over all loci. Furthermore, Ne estimates are output for three different genetic drift estimators (<i>F</i><sub><i>s</i></sub><span>,&nbsp;</span><i>F</i><sub><i>c</i></sub><span>&nbsp;and&nbsp;</span><i>F</i><sub><i>k</i></sub>). Confidence intervals are derived from a chi‐square distribution with degrees of freedom equal to the number of independent alleles. GONe has been validated over a wide range of Ne values, and for scenarios where survival and birth rates differ between sexes, sex ratios are unequal and reproductive variances differ.</p>","language":"English","publisher":"Wiley","doi":"10.1111/j.1755-0998.2011.03057.x","issn":"1755098X","usgsCitation":"Coombs, J., Letcher, B., and Nislow, K., 2012, GONe: Software for estimating effective population size in species with generational overlap: Molecular Ecology Resources, v. 12, no. 1, p. 160-163, https://doi.org/10.1111/j.1755-0998.2011.03057.x.","productDescription":"4 p.","startPage":"160","endPage":"163","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":242880,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215106,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1755-0998.2011.03057.x"}],"volume":"12","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-08-09","publicationStatus":"PW","scienceBaseUri":"505a1478e4b0c8380cd54a4d","contributors":{"authors":[{"text":"Coombs, J.A.","contributorId":91295,"corporation":false,"usgs":true,"family":"Coombs","given":"J.A.","affiliations":[],"preferred":false,"id":450790,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Letcher, B. H. 0000-0003-0191-5678","orcid":"https://orcid.org/0000-0003-0191-5678","contributorId":48132,"corporation":false,"usgs":true,"family":"Letcher","given":"B.","middleInitial":"H.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":450788,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nislow, K.H.","contributorId":66477,"corporation":false,"usgs":true,"family":"Nislow","given":"K.H.","affiliations":[],"preferred":false,"id":450789,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70032219,"text":"70032219 - 2012 - Geophysical investigations of geology and structure at the Martis Creek Dam, Truckee, California","interactions":[],"lastModifiedDate":"2013-03-06T16:58:12","indexId":"70032219","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2165,"text":"Journal of Applied Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Geophysical investigations of geology and structure at the Martis Creek Dam, Truckee, California","docAbstract":"A recent evaluation of Martis Creek Dam highlighted the potential for dam failure due to either seepage or an earthquake on nearby faults. In 1972, the U.S. Army Corps of Engineers constructed this earthen dam, located within the Truckee Basin to the north of Lake Tahoe, CA for water storage and flood control. Past attempts to raise the level of the Martis Creek Reservoir to its design level have been aborted due to seepage at locations downstream, along the west dam abutment, and at the base of the spillway. In response to these concerns, the U.S. Geological Survey has undertaken a comprehensive suite of geophysical investigations aimed at understanding the interplay between geologic structure, seepage patterns, and reservoir and groundwater levels. This paper concerns the geologic structure surrounding Martis Creek Dam and emphasizes the importance of a regional-scale understanding to the interpretation of engineering-scale geophysical data. Our studies reveal a thick package of sedimentary deposits interbedded with Plio-Pleistocene volcanic flows; both the deposits and the flows are covered by glacial outwash. Magnetic field data, seismic tomography models, and seismic reflections are used to determine the distribution and chronology of the volcanic flows. Previous estimates of depth to basement (or the thickness of the interbedded deposits) was 100 m. Magnetotelluric soundings suggest that electrically resistive bedrock may be up to 2500 m deep. Both the Polaris Fault, identified outside of the study area using airborne LiDAR, and the previously unnamed Martis Creek Fault, have been mapped through the dam area using ground and airborne geophysics. Finally, as determined by direct-current resistivity imaging, time-domain electromagnetic sounding, and seismic refraction, the paleotopography of the interface between the sedimentary deposits and the overlying glacial outwash plays a principal role both in controlling groundwater flow and in the distribution of the observed seepage.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Applied Geophysics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.jappgeo.2011.11.002","issn":"09269851","usgsCitation":"Bedrosian, P.A., Burton, B., Powers, M., Minsley, B., Phillips, J., and Hunter, L.E., 2012, Geophysical investigations of geology and structure at the Martis Creek Dam, Truckee, California: Journal of Applied Geophysics, v. 77, p. 7-20, https://doi.org/10.1016/j.jappgeo.2011.11.002.","productDescription":"14 p.","startPage":"7","endPage":"20","costCenters":[],"links":[{"id":214727,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jappgeo.2011.11.002"},{"id":242477,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Truckee","otherGeospatial":"Martis Creek Dam","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.4,32.5 ], [ -124.4,42.0 ], [ -114.1,42.0 ], [ -114.1,32.5 ], [ -124.4,32.5 ] ] ] } } ] }","volume":"77","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a2832e4b0c8380cd59f0b","contributors":{"authors":[{"text":"Bedrosian, P. A.","contributorId":100109,"corporation":false,"usgs":true,"family":"Bedrosian","given":"P.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":435101,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burton, B.L.","contributorId":93983,"corporation":false,"usgs":true,"family":"Burton","given":"B.L.","email":"","affiliations":[],"preferred":false,"id":435100,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Powers, M.H.","contributorId":40352,"corporation":false,"usgs":true,"family":"Powers","given":"M.H.","email":"","affiliations":[],"preferred":false,"id":435098,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Minsley, B. J.","contributorId":52107,"corporation":false,"usgs":true,"family":"Minsley","given":"B. J.","affiliations":[],"preferred":false,"id":435099,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Phillips, J. D. 0000-0002-6459-2821","orcid":"https://orcid.org/0000-0002-6459-2821","contributorId":22366,"corporation":false,"usgs":true,"family":"Phillips","given":"J. D.","affiliations":[],"preferred":false,"id":435097,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hunter, L. E.","contributorId":100207,"corporation":false,"usgs":true,"family":"Hunter","given":"L.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":435102,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70035398,"text":"70035398 - 2012 - An investigation of element ratios for assessing suspended-sediment sources in small agricultural basins","interactions":[],"lastModifiedDate":"2023-09-25T11:06:08.54295","indexId":"70035398","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3059,"text":"Physical Geography","active":true,"publicationSubtype":{"id":10}},"title":"An investigation of element ratios for assessing suspended-sediment sources in small agricultural basins","docAbstract":"Various sediment properties previously have been investigated for the purpose of determining sources of suspended sediment. A remaining research need is an assessment of element ratios for the determination of suspended-sediment sources in different terrestrial environments. In this study, 253 element ratios were assessed to determine which, if any, were potentially useful for sediment-source determinations in six small agricultural basins in northeastern Kansas, USA. Samples of surface soils (cropland and grassland), channel banks, and reservoir bottom sediments were collected, analyzed for 23 elements, and compared. Of the 253 element ratios assessed, only the Co/Pb and Co/Zn ratios were substantially and consistently different between the channel banks and surface soils for all six basins. For three of four reservoirs for which data were available, sediment-source estimates provided by Co/Pb ratios were in agreement with estimates previously provided using  137Cs. For two of the four reservoirs, sediment-source estimates provided by Co/Zn ratios were consistent with the  137Cs estimates. Thus, the Co/Pb ratio potentially may be more useful. Additional research is needed to ascertain whether or not the use of Co/Pb and Co/Zn ratios as tracers is widely applicable or restricted to specific terrestrial environments.","language":"English","publisher":"Taylor and Francis","doi":"10.2747/0272-3646.33.1.50","issn":"02723646","usgsCitation":"Juracek, K., 2012, An investigation of element ratios for assessing suspended-sediment sources in small agricultural basins: Physical Geography, v. 33, no. 1, p. 50-67, https://doi.org/10.2747/0272-3646.33.1.50.","productDescription":"18 p.","startPage":"50","endPage":"67","numberOfPages":"18","costCenters":[],"links":[{"id":215286,"rank":2,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2747/0272-3646.33.1.50"},{"id":243078,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"33","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-05-15","publicationStatus":"PW","scienceBaseUri":"5059ea8fe4b0c8380cd48942","contributors":{"authors":[{"text":"Juracek, K.","contributorId":19795,"corporation":false,"usgs":true,"family":"Juracek","given":"K.","affiliations":[],"preferred":false,"id":450462,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70032665,"text":"70032665 - 2012 - Occurrence and geochemistry of radium in water from principal drinking-water aquifer systems of the United States","interactions":[],"lastModifiedDate":"2019-09-25T10:51:13","indexId":"70032665","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Occurrence and geochemistry of radium in water from principal drinking-water aquifer systems of the United States","docAbstract":"A total of 1270 raw-water samples (before treatment) were collected from 15 principal and other major aquifer systems (PAs) used for drinking water in 45 states in all major physiographic provinces of the USA and analyzed for concentrations of the Ra isotopes  224Ra,  226Ra and  228Ra establishing the framework for evaluating Ra occurrence. The US Environmental Protection Agency Maximum Contaminant Level (MCL) of 0.185Bq/L (5pCi/L) for combined Ra (  226Ra plus  228Ra) for drinking water was exceeded in 4.02% (39 of 971) of samples for which both  226Ra and  228Ra were determined, or in 3.15% (40 of 1266) of the samples in which at least one isotope concentration (  226Ra or  228Ra) was determined. The maximum concentration of combined Ra was 0.755Bq/L (20.4pCi/L) in water from the North Atlantic Coastal Plain quartzose sand aquifer system. All the exceedences of the MCL for combined Ra occurred in water samples from the following 7PAs (in order of decreasing relative frequency of occurrence): the Midcontinent and Ozark Plateau Cambro-Ordovician dolomites and sandstones, the North Atlantic Coastal Plain, the Floridan, the crystalline rocks (granitic, metamorphic) of New England, the Mesozoic basins of the Appalachian Piedmont, the Gulf Coastal Plain, and the glacial sands and gravels (highest concentrations in New England).The concentration of Ra was consistently controlled by geochemical properties of the aquifer systems, with the highest concentrations most likely to be present where, as a consequence of the geochemical environment, adsorption of the Ra was slightly decreased. The result is a slight relative increase in Ra mobility, especially notable in aquifers with poor sorptive capacity (Fe-oxide-poor quartzose sands and carbonates), even if Ra is not abundant in the aquifer solids. The most common occurrence of elevated Ra throughout the USA occurred in anoxic water (low dissolved-O  2) with high concentrations of Fe or Mn, and in places, high concentrations of the competing ions Ca, Mg, Ba and Sr, and occasionally of dissolved solids, K, SO  4 and HCO  3. The other water type to frequently contain elevated concentrations of the Ra radioisotopes was acidic (low pH), and had in places, high concentrations of NO  3 and other acid anions, and on occasion, of the competing divalent cations, Mn and Al. One or the other of these broad water types was commonly present in each of the PAs in which elevated concentrations of combined Ra occurred. Concentrations of  226Ra or  228Ra or combined Ra correlated significantly with those of the above listed water-quality constituents (on the basis of the non-parametric Spearman correlation technique) and loaded on principal components describing the above water types from the entire data set and for samples from the PAs with the highest combined Ra concentrations.Concentrations of  224Ra and  226Ra were significantly correlated to those of  228Ra (Spearman's rank correlation coefficient, +0.236 and +0.326, respectively). Activity ratios of  224Ra/  228Ra in the water samples were mostly near 1 when concentrations of both isotopes were greater than or equal to 0.037Bq/L (1pCi/L), the level above which analytical results were most reliable. Co-occurrence among these highest concentrations of the Ra radionuclides was most likely in those PAs where chemical conditions are most conducive to Ra mobility (e.g. acidic North Atlantic Coastal Plain). The concentrations of  224Ra were occasionally greater than 0.037Bq/L and the ratios of  224Ra/  228Ra were generally highest in the PAs composed of alluvial sands and Cretaceous/Tertiary sandstones from the western USA, likely because concentrations of  224Ra are enhanced in solution relative to those of  228Ra by alpha recoil from the aquifer matrix. Rapid adsorption of the two Ra isotopes (controlled by the alkaline and oxic aquifer geochemistry) combined with preferential faster recoil of  224Ra generates a  224Ra/  228Ra ratio much greater than ","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Applied Geochemistry","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.apgeochem.2011.11.002","issn":"08832927","usgsCitation":"Szabo, Z., DePaul, V.T., Fischer, J., Kraemer, T.F., and Jacobsen, E., 2012, Occurrence and geochemistry of radium in water from principal drinking-water aquifer systems of the United States: Applied Geochemistry, v. 27, no. 3, p. 729-752, https://doi.org/10.1016/j.apgeochem.2011.11.002.","startPage":"729","endPage":"752","numberOfPages":"24","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":474677,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.apgeochem.2011.11.002","text":"Publisher Index Page"},{"id":241597,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":213923,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.apgeochem.2011.11.002"}],"volume":"27","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a6b6ce4b0c8380cd746a9","contributors":{"authors":[{"text":"Szabo, Z. 0000-0002-0760-9607","orcid":"https://orcid.org/0000-0002-0760-9607","contributorId":44302,"corporation":false,"usgs":true,"family":"Szabo","given":"Z.","affiliations":[],"preferred":false,"id":437349,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DePaul, Vincent T. 0000-0002-7977-5217 vdepaul@usgs.gov","orcid":"https://orcid.org/0000-0002-7977-5217","contributorId":2778,"corporation":false,"usgs":true,"family":"DePaul","given":"Vincent","email":"vdepaul@usgs.gov","middleInitial":"T.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":437351,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fischer, J.M. 0000-0003-2996-9272","orcid":"https://orcid.org/0000-0003-2996-9272","contributorId":74419,"corporation":false,"usgs":true,"family":"Fischer","given":"J.M.","affiliations":[],"preferred":false,"id":437352,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kraemer, T. F.","contributorId":63400,"corporation":false,"usgs":true,"family":"Kraemer","given":"T.","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":437350,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jacobsen, E.","contributorId":101462,"corporation":false,"usgs":true,"family":"Jacobsen","given":"E.","email":"","affiliations":[],"preferred":false,"id":437353,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70032617,"text":"70032617 - 2012 - Histologic, immunologic and endocrine biomarkers indicate contaminant effects in fishes of the Ashtabula River","interactions":[],"lastModifiedDate":"2013-03-25T15:07:01","indexId":"70032617","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1479,"text":"Ecotoxicology","active":true,"publicationSubtype":{"id":10}},"title":"Histologic, immunologic and endocrine biomarkers indicate contaminant effects in fishes of the Ashtabula River","docAbstract":"The use of fish as sentinels of aquatic ecosystem health is a biologically relevant approach to environmental monitoring and assessment. We examined the health of the Ashtabula River using histologic, immunologic, and endocrine biomarkers in brown bullhead (BB; Ameiurus nebulosus) and largemouth bass (Micropterus salmoides) and compared fish collected from a reference site (Conneaut Creek). Seasonal analysis was necessary to distinguish differences in fish between the two rivers. Overall BB from the Ashtabula River had a lower condition factor and significantly more macrophage aggregates than those from the reference site. Reduced bactericidal and cytotoxic-cell activity was observed in anterior kidney leukocytes from both BB and largemouth bass from the Ashtabula River. Lower plasma thyroxine and triiodo-L-thyronine in both species in the Ashtabula River indicated disruption of the thyroid axis. Differences in physiological biomarker responses were supported by body burden chemical concentrations when data were analyzed on a seasonal basis. The use of two fish species added a level of rigor that demonstrated biological effects were not exclusive to a single species. The results provide strong evidence that contaminants have affected fish in the Ashtabula River, a Great Lakes Area of Concern, and provide a baseline by which to evaluate remediation activities.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecotoxicology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s10646-011-0776-0","issn":"09639292","usgsCitation":"Iwanowicz, L., Blazer, V., Hitt, N., McCormick, S., Devault, D., and Ottinger, C., 2012, Histologic, immunologic and endocrine biomarkers indicate contaminant effects in fishes of the Ashtabula River: Ecotoxicology, v. 21, no. 1, p. 165-182, https://doi.org/10.1007/s10646-011-0776-0.","productDescription":"18 p.","startPage":"165","endPage":"182","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":213697,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10646-011-0776-0"},{"id":241351,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Ohio","otherGeospatial":"Ashtabula River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -84.8203,38.4034 ], [ -84.8203,41.9773 ], [ -80.5182,41.9773 ], [ -80.5182,38.4034 ], [ -84.8203,38.4034 ] ] ] } } ] }","volume":"21","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-09-01","publicationStatus":"PW","scienceBaseUri":"505a3153e4b0c8380cd5de21","contributors":{"authors":[{"text":"Iwanowicz, L. R. 0000-0002-1197-6178","orcid":"https://orcid.org/0000-0002-1197-6178","contributorId":43864,"corporation":false,"usgs":true,"family":"Iwanowicz","given":"L. R.","affiliations":[],"preferred":false,"id":437067,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blazer, V. S. 0000-0001-6647-9614","orcid":"https://orcid.org/0000-0001-6647-9614","contributorId":56991,"corporation":false,"usgs":true,"family":"Blazer","given":"V. S.","affiliations":[],"preferred":false,"id":437068,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hitt, N.P. 0000-0002-1046-4568","orcid":"https://orcid.org/0000-0002-1046-4568","contributorId":101466,"corporation":false,"usgs":true,"family":"Hitt","given":"N.P.","affiliations":[],"preferred":false,"id":437070,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McCormick, S. D. 0000-0003-0621-6200","orcid":"https://orcid.org/0000-0003-0621-6200","contributorId":20278,"corporation":false,"usgs":true,"family":"McCormick","given":"S. D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":437066,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Devault, D.S.","contributorId":87764,"corporation":false,"usgs":true,"family":"Devault","given":"D.S.","affiliations":[],"preferred":false,"id":437069,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ottinger, C. A. 0000-0003-2551-1985","orcid":"https://orcid.org/0000-0003-2551-1985","contributorId":8796,"corporation":false,"usgs":true,"family":"Ottinger","given":"C. A.","affiliations":[],"preferred":false,"id":437065,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70042453,"text":"70042453 - 2012 - Shorebird surveys in western Alaska","interactions":[],"lastModifiedDate":"2022-12-21T16:48:44.16649","indexId":"70042453","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"3","title":"Shorebird surveys in western Alaska","docAbstract":"<p>Surveys for breeding shorebirds were conducted during 2001-2002 in four National Wildlife Refuges (NWRs) in western Alaska - Alaska Maritime, Alaska Peninsula, Yukon Delta and Selawik. The sizes of our study areas on and adjacent to these four refuges were 9,243 km<sup>2</sup>, 24,493 km<sup>2</sup>, 853 km<sup>2</sup>, and 15,170 km<sup>2</sup>, respectively. Eleven sites were selected non-randomly, 3 in the Alaska Maritime NWR, 6 in the Alaska Peninsula, and one each in the other two NWRs. Survey and analytic methods are described in Chapter 2. Rapid surveys were conducted on 224 plots; 2,163 indicated pairs of shorebirds were recorded of which 1,485 were judged to be nesting in the surveyed plots. Detection ratios were estimated using intensive plot data from northern Alaska as well as from two plots on the Yukon Delta NWR. The highest estimated densities (shorebirds/km<sup>2</sup>) were on the Yukon Delta Study Area: 416 in wetlands and 300 in moist areas. The estimated densities on the Alaska Peninsula Study Area were 118 in wetlands and 62 in uplands. Other densities were markedly lower. Estimated numbers of shorebirds were 62,000 (CV = 0.58), 1,804,000 (CV = 0.32), 310,000 (CV = 0.11), and 390,000 (CV = 0.35), in the Alaska Maritime, Alaska Peninsula, Yukon Delta, and Selawik study areas, respectively. The former two estimates were affected by selection bias of unknown magnitude and so should be regarded with caution. A small estimate was generated for the Yukon Delta Study Area because it covered only about 1% of the Yukon Delta NWR. We identify several species-specific estimates from our study which appear inconsistent with previous continental estimates. This pilot study provides preliminary estimates of species composition and density in the surveyed areas. By incorporating several region-specific modifications to the sampling protocols for future surveys, we believe that the Arctic PRISM method is suitable for covering large areas in western Alaska.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Arctic shorebirds in North America: A decade of monitoring","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"University of California Press","publisherLocation":"Berkeley, CA","usgsCitation":"McCaffery, B.J., Bart, J., Wightman, C., and Krueper, D.J., 2012, Shorebird surveys in western Alaska, chap. 3 <i>of</i> Arctic shorebirds in North America: A decade of monitoring, v. 44, p. 17-36.","productDescription":"10 p.","startPage":"17","endPage":"36","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-026453","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":268325,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":297331,"type":{"id":15,"text":"Index Page"},"url":"https://www.ucpress.edu/book.php?isbn=9780520273108"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -159.83606127608508,\n              67.83094206266881\n            ],\n            [\n              -168.60315969175733,\n              67.31587290572091\n            ],\n            [\n              -168.04564134058197,\n              59.94938901312631\n            ],\n            [\n              -160.65923179948007,\n              57.14283500068541\n            ],\n            [\n              -176.3059056833646,\n              53.361921209719895\n            ],\n            [\n              -178.00466802783237,\n              50.46694403512976\n            ],\n            [\n              -152.1254855949343,\n              57.554123066073885\n            ],\n            [\n              -159.83606127608508,\n              67.83094206266881\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"44","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd72a0e4b0b290851086e9","contributors":{"authors":[{"text":"McCaffery, Brian J.","contributorId":37617,"corporation":false,"usgs":true,"family":"McCaffery","given":"Brian","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":471575,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bart, Jonathan jon_bart@usgs.gov","contributorId":57025,"corporation":false,"usgs":true,"family":"Bart","given":"Jonathan","email":"jon_bart@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":false,"id":471576,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wightman, Catherine","contributorId":66568,"corporation":false,"usgs":true,"family":"Wightman","given":"Catherine","affiliations":[],"preferred":false,"id":471577,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Krueper, David J.","contributorId":103752,"corporation":false,"usgs":true,"family":"Krueper","given":"David","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":471578,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70139533,"text":"70139533 - 2012 - The use of U.S. Geological Survey digital geospatial data products for science research","interactions":[],"lastModifiedDate":"2017-03-27T12:03:46","indexId":"70139533","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"The use of U.S. Geological Survey digital geospatial data products for science research","docAbstract":"<p><span>The development of geographic information system (GIS) transformed the practice of geographic science research. The availability of low-cost, reliable data by the U.S. Geological Survey (USGS) supported the advance of GIS in the early stages of the transition to digital technology. To estimate the extent of the scientific use of USGS digital geospatial data products, a search of science literature databases yielded numbers of articles citing USGS products. Though this method requires careful consideration to avoid false positives, these citation numbers of three types of products (vector, land-use/land-cover, and elevation data) were graphed, and the frequency trends were examined. Trends indicated that the use of several, but not all, products increased with time. The use of some products declined and reasons for these declines are offered. To better understand how these data affected the design and outcomes of research projects, the study begins to build a context for the data by discussing digital cartographic research preceding the production of mass-produced products. The data distribution methods used various media for different system types and were supported by instructional material. The findings are an initial assessment of the affect of USGS products on GIS-enabled science research. A brief examination of the specific papers indicates that USGS data were used for science and GIS conceptual research, advanced education, and problem analysis and solution applications.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"History of Cartography","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer Berlin Heidelberg","doi":"10.1007/978-3-642-19088-9_8","usgsCitation":"Varanka, D.E., Deering, C., and Caro, H., 2012, The use of U.S. Geological Survey digital geospatial data products for science research, chap. <i>of</i> History of Cartography, p. 129-141, https://doi.org/10.1007/978-3-642-19088-9_8.","productDescription":"12 p.","startPage":"129","endPage":"141","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-023850","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"links":[{"id":310620,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2011-07-26","publicationStatus":"PW","scienceBaseUri":"562b5a35e4b00162522207e8","contributors":{"authors":[{"text":"Varanka, Dalia E. 0000-0003-2857-9600 dvaranka@usgs.gov","orcid":"https://orcid.org/0000-0003-2857-9600","contributorId":1296,"corporation":false,"usgs":true,"family":"Varanka","given":"Dalia","email":"dvaranka@usgs.gov","middleInitial":"E.","affiliations":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true},{"id":404,"text":"NGTOC Rolla","active":true,"usgs":true}],"preferred":true,"id":539419,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Deering, Carol 0000-0003-3565-6264 cdeering@usgs.gov","orcid":"https://orcid.org/0000-0003-3565-6264","contributorId":3001,"corporation":false,"usgs":true,"family":"Deering","given":"Carol","email":"cdeering@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":578317,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Caro, Holly","contributorId":149409,"corporation":false,"usgs":false,"family":"Caro","given":"Holly","affiliations":[],"preferred":false,"id":578318,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70193743,"text":"70193743 - 2012 - Near‐surface void detection using a seismic landstreamer and horizontal velocity and attenuation tomography","interactions":[],"lastModifiedDate":"2018-01-30T16:02:29","indexId":"70193743","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Near‐surface void detection using a seismic landstreamer and horizontal velocity and attenuation tomography","docAbstract":"<p><span>The detection and characterization of subsurface voids plays an important role in the study of karst formations and clandestine tunnels. Horizontal velocity and attenuation tomography (HVAT) using offset‐fan shooting and a towed seismic land streamer is a simple, rapid, minimally invasive method that shows promise for detecting near‐surface voids and providing information on the orientation of linear voids. HVAT surveys were conducted over a known subsurface steam tunnel on the University of Connecticut Depot Campus, Storrs, Connecticut. First‐arrival travel‐time and amplitude data were used to produce two‐dimensional (2D) horizontal (map view) velocity and attenuation tomograms. In addition, attenuation tomograms were produced based on normalized total trace energy (TTE). Both the velocity and TTE attenuation tomograms depict an anomaly consistent with the location and orientation of the known tunnel; the TTE method, however, requires significantly less processing time, and therefore may provide a path forward to semi‐automated, near real‐time detection of near‐surface voids. Further study is needed to assess the utility of the HVAT method to detect deeper voids and the effects of a more complex geology on HVAT results.</span><span></span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Symposium on the Application of Geophysics to Engineering and Environmental Problems 2012","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Society of Exploration Geophysicists","doi":"10.4133/1.4721875","usgsCitation":"Buckley, S.F., and Lane, J.W., 2012, Near‐surface void detection using a seismic landstreamer and horizontal velocity and attenuation tomography, <i>in</i> Symposium on the Application of Geophysics to Engineering and Environmental Problems 2012, p. 561-571, https://doi.org/10.4133/1.4721875.","productDescription":"11 p.","startPage":"561","endPage":"571","ipdsId":"IP-035556","costCenters":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"links":[{"id":350808,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2012-05-11","publicationStatus":"PW","scienceBaseUri":"5a719270e4b0a9a2e9dbde1a","contributors":{"authors":[{"text":"Buckley, Sean F. sbuckley@usgs.gov","contributorId":3910,"corporation":false,"usgs":true,"family":"Buckley","given":"Sean","email":"sbuckley@usgs.gov","middleInitial":"F.","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":true,"id":720154,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lane, John W. Jr. 0000-0002-3558-243X jwlane@usgs.gov","orcid":"https://orcid.org/0000-0002-3558-243X","contributorId":189168,"corporation":false,"usgs":true,"family":"Lane","given":"John","suffix":"Jr.","email":"jwlane@usgs.gov","middleInitial":"W.","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":false,"id":720153,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70046363,"text":"70046363 - 2012 - Upper Klamath Basin Landsat Image for October 16, 2004: Path 44 Row 31","interactions":[],"lastModifiedDate":"2013-06-10T13:25:12","indexId":"70046363","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"title":"Upper Klamath Basin Landsat Image for October 16, 2004: Path 44 Row 31","docAbstract":"This subset of a Landsat-5 image shows part of the upper Klamath Basin. The original images were obtained from the U.S. Geological Survey Earth Resources Observation and Science Center (EROS). EROS is responsible for archive management and distribution of Landsat data products. The Landsat-5 satellite is part of an ongoing mission to provide quality remote sensing data in support of research and applications activities. The launch of Landsat-5 on March 1, 1984 marks the addition of the fifth satellite to the Landsat series. The Landsat-5 satellite carries the Thematic Mapper (TM) sensor. More information on the Landsat program can be found online at http://landsat.usgs.gov/.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/70046363","usgsCitation":"Snyder, D.T., 2012, Upper Klamath Basin Landsat Image for October 16, 2004: Path 44 Row 31, Dataset, https://doi.org/10.3133/70046363.","productDescription":"Dataset","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":273541,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":273540,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/erosl1t_10162004_p44r31_l5_usgs_NAD83.xml"}],"country":"United States","state":"Oregon","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.382600,41.991760 ], [ -123.382600,43.492919 ], [ -120.601579,43.492919 ], [ -120.601579,41.991760 ], [ -123.382600,41.991760 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b6f570e4b0097a7158e62f","contributors":{"authors":[{"text":"Snyder, Daniel T. dtsnyder@usgs.gov","contributorId":820,"corporation":false,"usgs":true,"family":"Snyder","given":"Daniel","email":"dtsnyder@usgs.gov","middleInitial":"T.","affiliations":[],"preferred":true,"id":479556,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70045514,"text":"70045514 - 2012 - The footprint of Alaskan tundra fires during the past half-century: implications for surface properties and radiative forcing","interactions":[],"lastModifiedDate":"2013-06-04T14:34:14","indexId":"70045514","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"The footprint of Alaskan tundra fires during the past half-century: implications for surface properties and radiative forcing","docAbstract":"Recent large and frequent fires above the Alaskan arctic circle have forced a reassessment of the ecological and climatological importance of fire in arctic tundra ecosystems. Here we provide a general overview of the occurrence, distribution, and ecological and climate implications of Alaskan tundra fires over the past half-century using spatially explicit climate, fire, vegetation and remote sensing datasets for Alaska. Our analyses highlight the importance of vegetation biomass and environmental conditions in regulating tundra burning, and demonstrate that most tundra ecosystems are susceptible to burn, providing the environmental conditions are right. Over the past two decades, fire perimeters above the arctic circle have increased in size and importance, especially on the North Slope, indicating that future wildfire projections should account for fire regime changes in these regions. Remote sensing data and a literature review of thaw depths indicate that tundra fires have both positive and negative implications for climatic feedbacks including a decadal increase in albedo radiative forcing immediately after a fire, a stimulation of surface greenness and a persistent long-term (>10 year) increase in thaw depth. In order to address the future impact of tundra fires on climate, a better understanding of the control of tundra fire occurrence as well as the long-term impacts on ecosystem carbon cycling will be required.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Research Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"IOP Publishing","doi":"10.1088/1748-9326/7/4/044039","usgsCitation":"Rocha, A.V., Loranty, M.M., Higuera, P., Mack, M., Hu, F., Jones, B.M., Breen, A.L., Rastetter, E.B., Goetz, S., and Shaver, G.R., 2012, The footprint of Alaskan tundra fires during the past half-century: implications for surface properties and radiative forcing: Environmental Research Letters, v. 7, 7 p., https://doi.org/10.1088/1748-9326/7/4/044039.","productDescription":"7 p.","ipdsId":"IP-042586","costCenters":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"links":[{"id":474617,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/7/4/044039","text":"Publisher Index Page"},{"id":273257,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273255,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1088/1748-9326/7/4/044039"}],"country":"United States","state":"Alaska","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 172.45,51.21 ], [ 172.45,71.39 ], [ -129.99,71.39 ], [ -129.99,51.21 ], [ 172.45,51.21 ] ] ] } } ] }","volume":"7","noUsgsAuthors":false,"publicationDate":"2012-12-19","publicationStatus":"PW","scienceBaseUri":"51af0c70e4b08a3322c2c355","contributors":{"authors":[{"text":"Rocha, Adrian V.","contributorId":25433,"corporation":false,"usgs":true,"family":"Rocha","given":"Adrian","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":477697,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loranty, Michael M.","contributorId":10315,"corporation":false,"usgs":true,"family":"Loranty","given":"Michael","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":477693,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Higuera, Phil E.","contributorId":16736,"corporation":false,"usgs":true,"family":"Higuera","given":"Phil E.","affiliations":[],"preferred":false,"id":477695,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mack, Michelle C.","contributorId":62114,"corporation":false,"usgs":true,"family":"Mack","given":"Michelle C.","affiliations":[],"preferred":false,"id":477698,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hu, Feng Sheng","contributorId":14280,"corporation":false,"usgs":true,"family":"Hu","given":"Feng Sheng","affiliations":[],"preferred":false,"id":477694,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jones, Benjamin M. 0000-0002-1517-4711 bjones@usgs.gov","orcid":"https://orcid.org/0000-0002-1517-4711","contributorId":2286,"corporation":false,"usgs":true,"family":"Jones","given":"Benjamin","email":"bjones@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"preferred":true,"id":477691,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Breen, Amy L.","contributorId":81396,"corporation":false,"usgs":true,"family":"Breen","given":"Amy","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":477700,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rastetter, Edward B.","contributorId":9227,"corporation":false,"usgs":true,"family":"Rastetter","given":"Edward","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":477692,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Goetz, Scott J.","contributorId":22232,"corporation":false,"usgs":true,"family":"Goetz","given":"Scott J.","affiliations":[],"preferred":false,"id":477696,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Shaver, Gus R.","contributorId":64139,"corporation":false,"usgs":true,"family":"Shaver","given":"Gus","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":477699,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70046352,"text":"70046352 - 2012 - Upper Klamath Basin Landsat Image for August 19, 2006: Path 44 Row 31","interactions":[],"lastModifiedDate":"2013-06-10T11:38:29","indexId":"70046352","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"title":"Upper Klamath Basin Landsat Image for August 19, 2006: Path 44 Row 31","docAbstract":"This subset of a Landsat-5 image shows part of the upper Klamath Basin. The original images were obtained from the U.S. Geological Survey Earth Resources Observation and Science Center (EROS). EROS is responsible for archive management and distribution of Landsat data products. The Landsat-5 satellite is part of an ongoing mission to provide quality remote sensing data in support of research and applications activities. The launch of Landsat-5 on March 1, 1984 marks the addition of the fifth satellite to the Landsat series. The Landsat-5 satellite carries the Thematic Mapper (TM) sensor. More information on the Landsat program can be found online at http://landsat.usgs.gov/.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/70046352","usgsCitation":"Snyder, D.T., 2012, Upper Klamath Basin Landsat Image for August 19, 2006: Path 44 Row 31, Dataset, https://doi.org/10.3133/70046352.","productDescription":"Dataset","costCenters":[],"links":[{"id":273508,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":273506,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/erosl1t_08192006_p44r31_l5_usgs_1_NAD83.xml"}],"country":"United States","state":"Oregon","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.382600,41.991760 ], [ -123.382600,43.492919 ], [ -120.601579,43.492919 ], [ -120.601579,41.991760 ], [ -123.382600,41.991760 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b6f56ee4b0097a7158e60f","contributors":{"authors":[{"text":"Snyder, Daniel T. dtsnyder@usgs.gov","contributorId":820,"corporation":false,"usgs":true,"family":"Snyder","given":"Daniel","email":"dtsnyder@usgs.gov","middleInitial":"T.","affiliations":[],"preferred":true,"id":479539,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70046360,"text":"70046360 - 2012 - Upper Klamath Basin Landsat Image for September 21, 2004: Path 45 Rows 30 and 31","interactions":[],"lastModifiedDate":"2013-06-10T12:56:11","indexId":"70046360","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"title":"Upper Klamath Basin Landsat Image for September 21, 2004: Path 45 Rows 30 and 31","docAbstract":"This image is a mosaic of Landsat-5 images of the upper Klamath Basin. The original images were obtained from the U.S. Geological Survey Earth Resources Observation and Science Center (EROS). EROS is responsible for archive management and distribution of Landsat data products. The Landsat-5 satellite is part of an ongoing mission to provide quality remote sensing data in support of research and applications activities. The launch of Landsat-5 on March 1, 1984 marks the addition of the fifth satellite to the Landsat series. The Landsat-5 satellite carries the Thematic Mapper (TM) sensor. More information on the Landsat program can be found online at http://landsat.usgs.gov/.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/70046360","usgsCitation":"Snyder, D.T., 2012, Upper Klamath Basin Landsat Image for September 21, 2004: Path 45 Rows 30 and 31, Dataset, https://doi.org/10.3133/70046360.","productDescription":"Dataset","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":273535,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":273534,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/erosl1t_09212004_p45r30_l5_kl_NAD83.xml"}],"country":"United States","state":"Oregon","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.382600,41.991760 ], [ -123.382600,43.492919 ], [ -120.601579,43.492919 ], [ -120.601579,41.991760 ], [ -123.382600,41.991760 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b6f571e4b0097a7158e63f","contributors":{"authors":[{"text":"Snyder, Daniel T. dtsnyder@usgs.gov","contributorId":820,"corporation":false,"usgs":true,"family":"Snyder","given":"Daniel","email":"dtsnyder@usgs.gov","middleInitial":"T.","affiliations":[],"preferred":true,"id":479553,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70188330,"text":"70188330 - 2012 - Quantifying urban land cover change between 2001 and 2006 in the Gulf of Mexico region","interactions":[],"lastModifiedDate":"2018-03-08T13:04:47","indexId":"70188330","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1753,"text":"Geocarto International","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying urban land cover change between 2001 and 2006 in the Gulf of Mexico region","docAbstract":"<p><span>We estimated urbanization rates (2001–2006) in the Gulf of Mexico region using the National Land Cover Database (NLCD) 2001 and 2006 impervious surface products. An improved method was used to update the NLCD impervious surface product in 2006 and associated land cover transition between 2001 and 2006. Our estimation reveals that impervious surface increased 416&nbsp;km</span><sup>2</sup><span> with a growth rate of 5.8% between 2001 and 2006. Approximately 1110.1&nbsp;km</span><sup>2</sup><span> of non-urban lands were converted into urban land, resulting in a 3.2% increase in the region. Hay/pasture, woody wetland, and evergreen forest represented the three most common land cover classes that transitioned to urban. Among these land cover transitions, more than 50% of the urbanization occurred within 50&nbsp;km of the coast. Our analysis shows that the close-to-coast land cover transition trend, especially within 10&nbsp;km off the coast, potentially imposes substantial long-term impacts on regional landscape and ecological conditions.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/10106049.2011.652675","usgsCitation":"Xian, G.Z., Homer, C.G., Bunde, B., Danielson, P., Dewitz, J., Fry, J., and Pu, R., 2012, Quantifying urban land cover change between 2001 and 2006 in the Gulf of Mexico region: Geocarto International, v. 27, no. 6, p. 479-497, https://doi.org/10.1080/10106049.2011.652675.","productDescription":"19 p.","startPage":"479","endPage":"497","ipdsId":"IP-026553","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":342159,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Gulf of Mexico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -101.337890625,\n              24.686952411999155\n            ],\n            [\n              -79.365234375,\n              24.686952411999155\n            ],\n            [\n              -79.365234375,\n              32.62087018318113\n            ],\n            [\n              -101.337890625,\n              32.62087018318113\n            ],\n            [\n              -101.337890625,\n              24.686952411999155\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"27","issue":"6","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5937bf31e4b0f6c2d0d9c7b2","contributors":{"authors":[{"text":"Xian, George Z. 0000-0001-5674-2204 xian@usgs.gov","orcid":"https://orcid.org/0000-0001-5674-2204","contributorId":2263,"corporation":false,"usgs":true,"family":"Xian","given":"George","email":"xian@usgs.gov","middleInitial":"Z.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":697243,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Homer, Collin G. 0000-0003-4755-8135 homer@usgs.gov","orcid":"https://orcid.org/0000-0003-4755-8135","contributorId":2262,"corporation":false,"usgs":true,"family":"Homer","given":"Collin","email":"homer@usgs.gov","middleInitial":"G.","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":697240,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bunde, Brett 0000-0003-0228-779X","orcid":"https://orcid.org/0000-0003-0228-779X","contributorId":192644,"corporation":false,"usgs":true,"family":"Bunde","given":"Brett","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":697244,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Danielson, Patrick 0000-0002-2990-2783 pdanielson@usgs.gov","orcid":"https://orcid.org/0000-0002-2990-2783","contributorId":3551,"corporation":false,"usgs":true,"family":"Danielson","given":"Patrick","email":"pdanielson@usgs.gov","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":697242,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dewitz, Jon 0000-0002-0458-212X dewitz@usgs.gov","orcid":"https://orcid.org/0000-0002-0458-212X","contributorId":2401,"corporation":false,"usgs":true,"family":"Dewitz","given":"Jon","email":"dewitz@usgs.gov","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":697239,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fry, Joyce 0000-0002-8466-9582 jfry@usgs.gov","orcid":"https://orcid.org/0000-0002-8466-9582","contributorId":3147,"corporation":false,"usgs":true,"family":"Fry","given":"Joyce","email":"jfry@usgs.gov","affiliations":[],"preferred":true,"id":697241,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pu, Ruiliang","contributorId":192645,"corporation":false,"usgs":false,"family":"Pu","given":"Ruiliang","email":"","affiliations":[],"preferred":false,"id":697245,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70045186,"text":"70045186 - 2012 - Solar thematic maps for space weather operations","interactions":[],"lastModifiedDate":"2013-06-17T16:20:19","indexId":"70045186","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3456,"text":"Space Weather","active":true,"publicationSubtype":{"id":10}},"title":"Solar thematic maps for space weather operations","docAbstract":"Thematic maps are arrays of labels, or \"themes\", associated with discrete locations in space and time. Borrowing heavily from the terrestrial remote sensing discipline, a numerical technique based on Bayes' theorem captures operational expertise in the form of trained theme statistics, then uses this to automatically assign labels to solar image pixels. Ultimately, regular thematic maps of the solar corona will be generated from high-cadence, high-resolution SUVI images, the solar ultraviolet imager slated to fly on NOAA's next-generation GOES-R series of satellites starting ~2016. These thematic maps will not only provide quicker, more consistent synoptic views of the sun for space weather forecasters, but digital thematic pixel masks (e.g., coronal hole, active region, flare, etc.), necessary for a new generation of operational solar data products, will be generated. This paper presents the mathematical underpinnings of our thematic mapper, as well as some practical algorithmic considerations. Then, using images from the Solar Dynamics Observatory (SDO) Advanced Imaging Array (AIA) as test data, it presents results from validation experiments designed to ascertain the robustness of the technique with respect to differing expert opinions and changing solar conditions.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Space Weather","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","doi":"10.1029/2012SW000780","usgsCitation":"Rigler, E.J., Hill, S.M., Reinard, A.A., and Steenburgh, R.A., 2012, Solar thematic maps for space weather operations: Space Weather, v. 10, S08009, 16 p., https://doi.org/10.1029/2012SW000780.","productDescription":"S08009, 16 p.","ipdsId":"IP-039253","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":474618,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2012sw000780","text":"Publisher Index Page"},{"id":273870,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273869,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2012SW000780"}],"country":"United States","volume":"10","noUsgsAuthors":false,"publicationDate":"2012-08-25","publicationStatus":"PW","scienceBaseUri":"51c02ff6e4b0ee1529ed3d60","contributors":{"authors":[{"text":"Rigler, E. Joshua","contributorId":64533,"corporation":false,"usgs":true,"family":"Rigler","given":"E.","email":"","middleInitial":"Joshua","affiliations":[],"preferred":false,"id":476996,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hill, Steven M.","contributorId":24263,"corporation":false,"usgs":true,"family":"Hill","given":"Steven","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":476995,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reinard, Alysha A.","contributorId":69873,"corporation":false,"usgs":true,"family":"Reinard","given":"Alysha","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":476997,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Steenburgh, Robert A.","contributorId":7165,"corporation":false,"usgs":true,"family":"Steenburgh","given":"Robert","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":476994,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70046354,"text":"70046354 - 2012 - Upper Klamath Basin Landsat Image for August 29, 2004: Path 44 Row 31","interactions":[],"lastModifiedDate":"2013-06-10T11:55:45","indexId":"70046354","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"title":"Upper Klamath Basin Landsat Image for August 29, 2004: Path 44 Row 31","docAbstract":"This subset of a Landsat-5 image shows part of the upper Klamath Basin. The original images were obtained from the U.S. Geological Survey Earth Resources Observation and Science Center (EROS). EROS is responsible for archive management and distribution of Landsat data products. The Landsat-5 satellite is part of an ongoing mission to provide quality remote sensing data in support of research and applications activities. The launch of Landsat-5 on March 1, 1984 marks the addition of the fifth satellite to the Landsat series. The Landsat-5 satellite carries the Thematic Mapper (TM) sensor. More information on the Landsat program can be found online at http://landsat.usgs.gov/.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/70046354","usgsCitation":"Snyder, D.T., 2012, Upper Klamath Basin Landsat Image for August 29, 2004: Path 44 Row 31, Dataset, https://doi.org/10.3133/70046354.","productDescription":"Dataset","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":273514,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":273513,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/erosl1t_08292004_p44r31_l5_usgs_NAD83.xml"}],"country":"United States","state":"Oregon","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.382600,41.991760 ], [ -123.382600,43.492919 ], [ -120.601579,43.492919 ], [ -120.601579,41.991760 ], [ -123.382600,41.991760 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b6f56ee4b0097a7158e617","contributors":{"authors":[{"text":"Snyder, Daniel T. dtsnyder@usgs.gov","contributorId":820,"corporation":false,"usgs":true,"family":"Snyder","given":"Daniel","email":"dtsnyder@usgs.gov","middleInitial":"T.","affiliations":[],"preferred":true,"id":479541,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70046347,"text":"70046347 - 2012 - Upper Klamath Basin Landsat Image for August 4, 2004: Path 45 Rows 30 and 31","interactions":[],"lastModifiedDate":"2013-06-10T11:30:08","indexId":"70046347","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"title":"Upper Klamath Basin Landsat Image for August 4, 2004: Path 45 Rows 30 and 31","docAbstract":"This image is a mosaic of Landsat-5 images of the upper Klamath Basin. The original images were obtained from the U.S. Geological Survey Earth Resources Observation and Science Center (EROS). EROS is responsible for archive management and distribution of Landsat data products. The Landsat-5 satellite is part of an ongoing mission to provide quality remote sensing data in support of research and applications activities. The launch of Landsat-5 on March 1, 1984 marks the addition of the fifth satellite to the Landsat series. The Landsat-5 satellite carries the Thematic Mapper (TM) sensor. More information on the Landsat program can be found online at http://landsat.usgs.gov/.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/70046347","usgsCitation":"Snyder, D.T., 2012, Upper Klamath Basin Landsat Image for August 4, 2004: Path 45 Rows 30 and 31, Dataset, https://doi.org/10.3133/70046347.","productDescription":"Dataset","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":273505,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":273504,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/erosl1t_08042004_p45r30_l5_kl_NAD83.xml"}],"country":"United States","state":"Oregon","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.382600,41.991760 ], [ -123.382600,43.492919 ], [ -120.601579,43.492919 ], [ -120.601579,41.991760 ], [ -123.382600,41.991760 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b6f56ee4b0097a7158e61b","contributors":{"authors":[{"text":"Snyder, Daniel T. dtsnyder@usgs.gov","contributorId":820,"corporation":false,"usgs":true,"family":"Snyder","given":"Daniel","email":"dtsnyder@usgs.gov","middleInitial":"T.","affiliations":[],"preferred":true,"id":479529,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
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