{"pageNumber":"895","pageRowStart":"22350","pageSize":"25","recordCount":46890,"records":[{"id":70029967,"text":"70029967 - 2007 - Arsenic attenuation by oxidized aquifer sediments in Bangladesh","interactions":[],"lastModifiedDate":"2023-08-02T12:26:36.475241","indexId":"70029967","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Arsenic attenuation by oxidized aquifer sediments in Bangladesh","docAbstract":"<p>Recognition of arsenic (As) contamination of shallow fluvio-deltaic aquifers in the Bengal Basin has resulted in increasing exploitation of groundwater from deeper aquifers that generally contain low concentrations of dissolved As. Pumping-induced infiltration of high-As groundwater could eventually cause As concentrations in these aquifers to increase. This study investigates the adsorption capacity for As of sediment from a low-As aquifer near Dhaka, Bangladesh. A shallow, chemically-reducing aquifer at this site extends to a depth of 50&nbsp;m and has maximum As concentrations in groundwater of 900&nbsp;μg/L. At depths greater than 50&nbsp;m, geochemical conditions are more oxidizing and groundwater has &lt;&nbsp;5&nbsp;μg/L As. There is no thick layer of clay at this site to inhibit vertical transport of groundwater.</p><p>Arsenite [As(III)] is the dominant oxidation state in contaminated groundwater; however, data from laboratory batch experiments show that As(III) is oxidized to arsenate [As(V)] by manganese (Mn) minerals that are present in the oxidized sediment. Thus, the long-term viability of the deeper aquifers as a source of water supply is likely to depend on As(V) adsorption. The adsorption capacity of these sediments is a function of the oxidation state of As and the concentration of other solutes that compete for adsorption sites. Arsenite that was not oxidized did adsorb, but to a much lesser extent than As(V). Phosphate (P) caused a substantial decrease in As(V) adsorption. Increasing pH and concentrations of silica (Si) had lesser effects on As(V) adsorption. The effect of bicarbonate (HCO<sub>3</sub>) on As(V) adsorption was negligible. Equilibrium constants for adsorption of As(V), As(III), P, Si, HCO<sub>3</sub>, and H were determined from the experimental data and a quantitative model developed. Oxidation of As(III) was modeled with a first-order rate constant. This model was used to successfully simulate As(V) adsorption in the presence of multiple competing solutes. Results from these experiments show that oxidized sediments have a substantial but limited capacity for removal of As from groundwater.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2006.11.029","issn":"00489697","usgsCitation":"Stollenwerk, K.G., Breit, G.N., Welch, A.H., Yount, J., Whitney, J.W., Foster, A.L., Uddin, M., Majumder, R., and Ahmed, N., 2007, Arsenic attenuation by oxidized aquifer sediments in Bangladesh: Science of the Total Environment, v. 379, no. 2-3, p. 133-150, https://doi.org/10.1016/j.scitotenv.2006.11.029.","productDescription":"18 p.","startPage":"133","endPage":"150","numberOfPages":"18","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":477071,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2006.11.029","text":"Publisher Index Page"},{"id":240253,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Bangladesh","city":"Dhaka","otherGeospatial":"Bengal Basin","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[92.67272,22.04124],[92.65226,21.32405],[92.30323,21.47549],[92.36855,20.67088],[92.08289,21.1922],[92.02522,21.70157],[91.83489,22.18294],[91.41709,22.76502],[90.49601,22.80502],[90.58696,22.39279],[90.27297,21.83637],[89.84747,22.03915],[89.70205,21.85712],[89.41886,21.96618],[89.03196,22.05571],[88.87631,22.87915],[88.52977,23.63114],[88.69994,24.23371],[88.08442,24.50166],[88.30637,24.86608],[88.93155,25.23869],[88.20979,25.76807],[88.56305,26.44653],[89.35509,26.01441],[89.83248,25.96508],[89.92069,25.26975],[90.87221,25.1326],[91.7996,25.14743],[92.3762,24.97669],[91.91509,24.13041],[91.46773,24.07264],[91.15896,23.50353],[91.70648,22.98526],[91.86993,23.62435],[92.14603,23.6275],[92.67272,22.04124]]]},\"properties\":{\"name\":\"Bangladesh\"}}]}","volume":"379","issue":"2-3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059ed8be4b0c8380cd49882","contributors":{"authors":[{"text":"Stollenwerk, Kenneth G. kgstolle@usgs.gov","contributorId":578,"corporation":false,"usgs":true,"family":"Stollenwerk","given":"Kenneth","email":"kgstolle@usgs.gov","middleInitial":"G.","affiliations":[],"preferred":true,"id":425109,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Breit, George N. 0000-0003-2188-6798 gbreit@usgs.gov","orcid":"https://orcid.org/0000-0003-2188-6798","contributorId":1480,"corporation":false,"usgs":true,"family":"Breit","given":"George","email":"gbreit@usgs.gov","middleInitial":"N.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":425111,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Welch, Alan H.","contributorId":35399,"corporation":false,"usgs":true,"family":"Welch","given":"Alan","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":425105,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yount, James C.","contributorId":39341,"corporation":false,"usgs":true,"family":"Yount","given":"James C.","affiliations":[],"preferred":false,"id":425108,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Whitney, John W. 0000-0003-3824-3692 jwhitney@usgs.gov","orcid":"https://orcid.org/0000-0003-3824-3692","contributorId":804,"corporation":false,"usgs":true,"family":"Whitney","given":"John","email":"jwhitney@usgs.gov","middleInitial":"W.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":425107,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Foster, Andrea L. 0000-0003-1362-0068 afoster@usgs.gov","orcid":"https://orcid.org/0000-0003-1362-0068","contributorId":1740,"corporation":false,"usgs":true,"family":"Foster","given":"Andrea","email":"afoster@usgs.gov","middleInitial":"L.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":425106,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Uddin, M.N.","contributorId":105979,"corporation":false,"usgs":true,"family":"Uddin","given":"M.N.","email":"","affiliations":[],"preferred":false,"id":425113,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Majumder, R.K.","contributorId":94929,"corporation":false,"usgs":true,"family":"Majumder","given":"R.K.","email":"","affiliations":[],"preferred":false,"id":425112,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ahmed, N.","contributorId":71846,"corporation":false,"usgs":true,"family":"Ahmed","given":"N.","email":"","affiliations":[],"preferred":false,"id":425110,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70030065,"text":"70030065 - 2007 - Sea level fluctuations in central California at subtidal to decadal and longer time scales with implications for San Francisco Bay, California","interactions":[],"lastModifiedDate":"2023-08-02T12:16:40.648602","indexId":"70030065","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1587,"text":"Estuarine, Coastal and Shelf Science","active":true,"publicationSubtype":{"id":10}},"title":"Sea level fluctuations in central California at subtidal to decadal and longer time scales with implications for San Francisco Bay, California","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-gulliver text-s\"><div id=\"aep-abstract-id19\" class=\"abstract author\" lang=\"en\"><div id=\"aep-abstract-sec-id20\"><p>Sea level elevations from near the mouth of San Francisco Bay are used to describe the low-frequency variability of forcing of the coastal ocean on the Bay at a variety of temporal scales. About 90% of subtidal fluctuations in sea level in San Francisco Bay are driven by the sea level variations in the coastal ocean that propagate into the Bay at the estuary mouth. We use the 100-year sea level record available at San Francisco to document a 1.9&nbsp;mm/yr mean sea level rise, and to determine fluctuations related to El Nino-Southern Oscillation (ENSO) and other climatic events. At time scales greater than 1 year, ENSO dominates the sea level signal and can result in fluctuations in sea level of 10–15&nbsp;cm. Alongshore wind stress data from central California are also analyzed to determine the impact of changes in coastal elevation at the mouth of San Francisco Bay within the synoptic wind band of 2–30 days. At least 40% of the subtidal fluctuations in sea level of the Bay are tied to the large-scale regional wind field affecting sea level variations in the coastal ocean, with little local, direct wind forcing of the Bay itself. The majority of the subtidal sea level fluctuations within the Bay that are not related to the coastal ocean sea level signal are forced by an east–west sea level gradient resulting from tidally induced variations in sea level at specific beat frequencies that are enhanced in the northern reach of the Bay. River discharge into the Bay through the Sacramento and San Joaquin River Delta also contributes to the east–west gradient, but to a lesser degree.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecss.2007.02.009","issn":"02727714","usgsCitation":"Ryan, H.F., and Noble, M., 2007, Sea level fluctuations in central California at subtidal to decadal and longer time scales with implications for San Francisco Bay, California: Estuarine, Coastal and Shelf Science, v. 73, no. 3-4, p. 538-550, https://doi.org/10.1016/j.ecss.2007.02.009.","productDescription":"13 p.","startPage":"538","endPage":"550","numberOfPages":"13","costCenters":[],"links":[{"id":240191,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.9769949901727,\n              38.3199725035395\n            ],\n            [\n              -122.9769949901727,\n              37.31367754212043\n            ],\n            [\n              -121.59331131977186,\n              37.31367754212043\n            ],\n            [\n              -121.59331131977186,\n              38.3199725035395\n            ],\n            [\n              -122.9769949901727,\n              38.3199725035395\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"73","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b87e8e4b08c986b316700","contributors":{"authors":[{"text":"Ryan, H. F.","contributorId":18002,"corporation":false,"usgs":true,"family":"Ryan","given":"H.","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":425573,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Noble, M.A.","contributorId":93513,"corporation":false,"usgs":true,"family":"Noble","given":"M.A.","email":"","affiliations":[],"preferred":false,"id":425574,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70029702,"text":"70029702 - 2007 - Comparison of four approaches to a rock facies classification problem","interactions":[],"lastModifiedDate":"2012-03-12T17:21:06","indexId":"70029702","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1315,"text":"Computers & Geosciences","printIssn":"0098-3004","active":true,"publicationSubtype":{"id":10}},"title":"Comparison of four approaches to a rock facies classification problem","docAbstract":"In this study, seven classifiers based on four different approaches were tested in a rock facies classification problem: classical parametric methods using Bayes' rule, and non-parametric methods using fuzzy logic, k-nearest neighbor, and feed forward-back propagating artificial neural network. Determining the most effective classifier for geologic facies prediction in wells without cores in the Panoma gas field, in Southwest Kansas, was the objective. Study data include 3600 samples with known rock facies class (from core) with each sample having either four or five measured properties (wire-line log curves), and two derived geologic properties (geologic constraining variables). The sample set was divided into two subsets, one for training and one for testing the ability of the trained classifier to correctly assign classes. Artificial neural networks clearly outperformed all other classifiers and are effective tools for this particular classification problem. Classical parametric models were inadequate due to the nature of the predictor variables (high dimensional and not linearly correlated), and feature space of the classes (overlapping). The other non-parametric methods tested, k-nearest neighbor and fuzzy logic, would need considerable improvement to match the neural network effectiveness, but further work, possibly combining certain aspects of the three non-parametric methods, may be justified. ?? 2006 Elsevier Ltd. All rights reserved.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Computers and Geosciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.cageo.2006.08.011","issn":"00983004","usgsCitation":"Dubois, M., Bohling, G.C., and Chakrabarti, S., 2007, Comparison of four approaches to a rock facies classification problem: Computers & Geosciences, v. 33, no. 5, p. 599-617, https://doi.org/10.1016/j.cageo.2006.08.011.","startPage":"599","endPage":"617","numberOfPages":"19","costCenters":[],"links":[{"id":212885,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.cageo.2006.08.011"},{"id":240445,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"33","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f864e4b0c8380cd4d086","contributors":{"authors":[{"text":"Dubois, M.K.","contributorId":50695,"corporation":false,"usgs":true,"family":"Dubois","given":"M.K.","email":"","affiliations":[],"preferred":false,"id":423922,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bohling, Geoffrey C.","contributorId":43109,"corporation":false,"usgs":false,"family":"Bohling","given":"Geoffrey","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":423920,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chakrabarti, S.","contributorId":43173,"corporation":false,"usgs":true,"family":"Chakrabarti","given":"S.","email":"","affiliations":[],"preferred":false,"id":423921,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70029703,"text":"70029703 - 2007 - Biological uptake of polychlorinated biphenyls by Macoma balthica from sediment amended with activated carbon","interactions":[],"lastModifiedDate":"2023-08-22T11:16:52.003308","indexId":"70029703","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Biological uptake of polychlorinated biphenyls by Macoma balthica from sediment amended with activated carbon","docAbstract":"<div class=\"abstract-group \"><div class=\"article-section__content en main\"><p>This work characterizes the efficacy of activated carbon amendment in reducing polychlorinated biphenyl (PCB) bioavailability to clams (<i>Macoma balthica</i>) from field-contaminated sediment (Hunters Point Naval Shipyard, San Francisco Bay, CA, USA). Test methods were developed for the use of clams to investigate the effects of sediment amendment on biological uptake. Sediment was mixed with activated carbon for one month. Bioaccumulation tests (28 d) were employed to assess the relationships between carbon dose and carbon particle size on observed reductions in clam biological uptake of PCBs. Extraction and cleanup protocols were developed for the clam tissue. Efficacy of activated carbon treatment was found to increase with both increasing carbon dose and decreasing carbon particle size. Average reductions in bioaccumulation of 22, 64, and 84% relative to untreated Hunters Point sediment were observed for carbon amendments of 0.34, 1.7, and 3.4%, respectively. Average bioaccumulation reductions of 41, 73, and 89% were observed for amendments (dose = 1.7% dry wt) with carbon particles of 180 to 250, 75 to 180, and 25 to 75 μm, respectively, in diameter, indicating kinetic phenomena in these tests. Additionally, a biodynamic model quantifying clam PCB uptake from water and sediment as well as loss through elimination provided a good fit of experimental data. Model predictions suggest that the sediment ingestion route contributed 80 to 95% of the PCB burdens in the clams.</p></div></div>","language":"English","publisher":"Society of Environmental Toxicology and Chemistry","doi":"10.1897/06-278R1.1","issn":"07307268","usgsCitation":"McLeod, P.B., van den Heuvel-Greve, M.J., Luoma, S., and Luthy, R., 2007, Biological uptake of polychlorinated biphenyls by Macoma balthica from sediment amended with activated carbon: Environmental Toxicology and Chemistry, v. 26, no. 5, p. 980-987, https://doi.org/10.1897/06-278R1.1.","productDescription":"8 p.","startPage":"980","endPage":"987","numberOfPages":"8","costCenters":[],"links":[{"id":477066,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1897/06-278r1.1","text":"Publisher Index Page"},{"id":240446,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"5","noUsgsAuthors":false,"publicationDate":"2007-05-01","publicationStatus":"PW","scienceBaseUri":"5059f16fe4b0c8380cd4ac6d","contributors":{"authors":[{"text":"McLeod, Pamela B.","contributorId":76913,"corporation":false,"usgs":true,"family":"McLeod","given":"Pamela","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":423925,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"van den Heuvel-Greve, Martine J.","contributorId":60822,"corporation":false,"usgs":true,"family":"van den Heuvel-Greve","given":"Martine","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":423924,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Luoma, S. N.","contributorId":86353,"corporation":false,"usgs":true,"family":"Luoma","given":"S. N.","affiliations":[],"preferred":false,"id":423926,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Luthy, R.G.","contributorId":36335,"corporation":false,"usgs":true,"family":"Luthy","given":"R.G.","email":"","affiliations":[],"preferred":false,"id":423923,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70029704,"text":"70029704 - 2007 - Return to the wild: Translocation as a tool in conservation of the desert tortoise (<i>Gopherus agassizii</i>)","interactions":[],"lastModifiedDate":"2019-11-11T13:24:18","indexId":"70029704","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Return to the wild: Translocation as a tool in conservation of the desert tortoise (<i>Gopherus agassizii</i>)","docAbstract":"<p>Translocation could be used as a tool in conservation of the threatened Mojave Desert Tortoise (<i>Gopherus agassizii</i>) by moving individuals from harm's way and into areas where they could contribute to conservation of the species. Numerous factors may affect the success of translocations, including the conditions experienced by tortoises in holding facilities while awaiting translocation. The tortoises available for our translocation study had been provided supplemental water during their years spent in a captive holding facility, potentially inducing carelessness in water conservation. In addition to generally investigating the efficacy of translocation, we compared the effects of continuing with the effects of ceasing the holding facility's water supplementation regimen. After exposure to one of the two water regimens, all tortoises were given the opportunity to hydrate immediately prior to release. We examined behavior, body mass, carapace length, movement, and mortality of tortoises for two activity seasons following release to the wild. Water supplementation was correlated with high rates of carapace growth and distant movements by males after release. Lengthy movements following translocation may be problematic for conservation planning, but this should be evaluated in light of the goals and circumstances of each translocation project. Although the mortality rate was 21.4% in 1997, data suggest that drought conditions at the site rather than the translocation itself negatively affected the tortoises. None of the tortoises died during their second season at the site. Our results indicate that translocation should be considered a useful tool in conservation of the Desert Tortoise.</p>","language":"English","publisher":"Elsevier Science","doi":"10.1016/j.biocon.2006.11.022","issn":"00063207","usgsCitation":"Field, K., Tracy, C., Medica, P., Marlow, R., and Corn, P., 2007, Return to the wild: Translocation as a tool in conservation of the desert tortoise (<i>Gopherus agassizii</i>): Biological Conservation, v. 136, no. 2, p. 232-245, https://doi.org/10.1016/j.biocon.2006.11.022.","productDescription":"14 p.","startPage":"232","endPage":"245","numberOfPages":"14","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":240478,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":212913,"rank":9999,"type":{"id":10,"text":"Digital Object 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R.W.","contributorId":20276,"corporation":false,"usgs":true,"family":"Marlow","given":"R.W.","email":"","affiliations":[],"preferred":false,"id":423927,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Corn, P.S.","contributorId":63751,"corporation":false,"usgs":true,"family":"Corn","given":"P.S.","affiliations":[],"preferred":false,"id":423929,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70029736,"text":"70029736 - 2007 - The influence of extractable organic matter on vitrinite reflectance suppression: A survey of kerogen and coal types","interactions":[],"lastModifiedDate":"2012-03-12T17:21:06","indexId":"70029736","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2033,"text":"International Journal of Coal Geology","active":true,"publicationSubtype":{"id":10}},"title":"The influence of extractable organic matter on vitrinite reflectance suppression: A survey of kerogen and coal types","docAbstract":"The vitrinite reflectance suppression literature shows that while bitumen impregnation of the vitrinite group is often invoked as a significant contributor to suppression, its existence is not often supported by petrological evidence. This study examines bitumen impregnation as a factor in vitrinite suppression by comparing the vitrinite reflectance of source rock and coal samples before and after solvent-extraction. Bitumen, often defined as organic matter soluble or extractable in certain organic solvents, should be removed by Soxhlet method solvent extraction using chloroform. Removing the extractable bitumen should restore the suppressed reflectance to its true higher value. However, the solvent extracted samples averaged 0.014% Rv less than that of the unextracted samples. We conclude from these results and from other published data that reflectance suppression by bitumen impregnation in the vitrinite maceral group, above the huminite stage of gelification, is seemingly a rare phenomenon and whose effect on suppressing vitrinite reflectance is typically negligible. ?? 2006.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"International Journal of Coal Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.coal.2006.03.005","issn":"01665162","usgsCitation":"Barker, C., Lewan, M.D., and Pawlewicz, M., 2007, The influence of extractable organic matter on vitrinite reflectance suppression: A survey of kerogen and coal types: International Journal of Coal Geology, v. 70, no. 1-3 SPEC. ISS., p. 67-78, https://doi.org/10.1016/j.coal.2006.03.005.","startPage":"67","endPage":"78","numberOfPages":"12","costCenters":[],"links":[{"id":212859,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.coal.2006.03.005"},{"id":240416,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"70","issue":"1-3 SPEC. ISS.","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bad1fe4b08c986b3239ba","contributors":{"authors":[{"text":"Barker, C.E.","contributorId":69991,"corporation":false,"usgs":true,"family":"Barker","given":"C.E.","affiliations":[],"preferred":false,"id":424058,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lewan, M. D.","contributorId":46540,"corporation":false,"usgs":true,"family":"Lewan","given":"M.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":424057,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pawlewicz, M. J.","contributorId":75111,"corporation":false,"usgs":true,"family":"Pawlewicz","given":"M. J.","affiliations":[],"preferred":false,"id":424059,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70029742,"text":"70029742 - 2007 - Quantitative remote sensing study indicates doubling of coastal erosion rate in past 50 yr along a segment of the Arctic coast of Alaska","interactions":[],"lastModifiedDate":"2012-03-12T17:21:06","indexId":"70029742","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Quantitative remote sensing study indicates doubling of coastal erosion rate in past 50 yr along a segment of the Arctic coast of Alaska","docAbstract":"A new quantitative coastal land gained-and-lost method uses image analysis of topographic maps and Landsat thematic mapper short-wave infrared data to document accelerated coastal land loss and thermokarst lake expansion and drainage. The data span 1955-2005 along the Beaufort Sea coast north of Teshekpuk Lake in the National Petroleum Reserve in Alaska. Some areas have undergone as much as 0.9 km of coastal erosion in the past 50 yr. Land loss attributed to coastal erosion more than doubled, from 0.48 km2 yr-1 during 1955-1985 to 1.08 km2 yr-1 during 1985-2005. Coastal erosion has breached thermokarst lakes, causing initial draining of the lakes followed by marine floodng. Although inland thermokarst lakes show some uniform expansion, lakes breached by coastal erosion display lake expansion several orders of magnitude greater than inland lakes. ?? 2007 The Geological Society of America.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1130/G23672A.1","issn":"00917613","usgsCitation":"Mars, J., and Houseknecht, D., 2007, Quantitative remote sensing study indicates doubling of coastal erosion rate in past 50 yr along a segment of the Arctic coast of Alaska: Geology, v. 35, no. 7, p. 583-586, https://doi.org/10.1130/G23672A.1.","startPage":"583","endPage":"586","numberOfPages":"4","costCenters":[],"links":[{"id":212917,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/G23672A.1"},{"id":240482,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a922fe4b0c8380cd806f4","contributors":{"authors":[{"text":"Mars, J.C.","contributorId":74833,"corporation":false,"usgs":true,"family":"Mars","given":"J.C.","affiliations":[],"preferred":false,"id":424090,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Houseknecht, D.W. 0000-0002-9633-6910","orcid":"https://orcid.org/0000-0002-9633-6910","contributorId":33695,"corporation":false,"usgs":true,"family":"Houseknecht","given":"D.W.","affiliations":[],"preferred":false,"id":424089,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70029779,"text":"70029779 - 2007 - The role of historical fire disturbance in the carbon dynamics of the pan-boreal region: A process-based analysis","interactions":[],"lastModifiedDate":"2023-08-03T11:23:14.316745","indexId":"70029779","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2319,"text":"Journal of Geophysical Research G: Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"The role of historical fire disturbance in the carbon dynamics of the pan-boreal region: A process-based analysis","docAbstract":"<div class=\" metis-abstract\"><div class=\"article-section__content en main\"><p><span class=\"paraNumber\">[1]<span>&nbsp;</span></span>Wildfire is a common occurrence in ecosystems of northern high latitudes, and changes in the fire regime of this region have consequences for carbon feedbacks to the climate system. To improve our understanding of how wildfire influences carbon dynamics of this region, we used the process-based Terrestrial Ecosystem Model to simulate fire emissions and changes in carbon storage north of 45°N from the start of spatially explicit historically recorded fire records in the twentieth century through 2002, and evaluated the role of fire in the carbon dynamics of the region within the context of ecosystem responses to changes in atmospheric CO<sub>2</sub><span>&nbsp;</span>concentration and climate. Our analysis indicates that fire plays an important role in interannual and decadal scale variation of source/sink relationships of northern terrestrial ecosystems and also suggests that atmospheric CO<sub>2</sub><span>&nbsp;</span>may be important to consider in addition to changes in climate and fire disturbance. There are substantial uncertainties in the effects of fire on carbon storage in our simulations. These uncertainties are associated with sparse fire data for northern Eurasia, uncertainty in estimating carbon consumption, and difficulty in verifying assumptions about the representation of fires that occurred prior to the start of the historical fire record. To improve the ability to better predict how fire will influence carbon storage of this region in the future, new analyses of the retrospective role of fire in the carbon dynamics of northern high latitudes should address these uncertainties.</p></div></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2006JG000380","issn":"01480227","usgsCitation":"Balshi, M.S., McGuire, A., Zhuang, Q., Melillo, J., Kicklighter, D., Kasischke, E., Wirth, C., Flannigan, M., Harden, J., Clein, J.S., Burnside, T., McAllister, J., Kurz, W., Apps, M., and Shvidenko, A., 2007, The role of historical fire disturbance in the carbon dynamics of the pan-boreal region: A process-based analysis: Journal of Geophysical Research G: Biogeosciences, v. 112, no. 2, 18 p., https://doi.org/10.1029/2006JG000380.","productDescription":"18 p.","costCenters":[],"links":[{"id":477082,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2006jg000380","text":"Publisher Index Page"},{"id":240484,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"112","issue":"2","noUsgsAuthors":false,"publicationDate":"2007-06-20","publicationStatus":"PW","scienceBaseUri":"505baf77e4b08c986b3247f4","contributors":{"authors":[{"text":"Balshi, M. S.","contributorId":9469,"corporation":false,"usgs":false,"family":"Balshi","given":"M.","email":"","middleInitial":"S.","affiliations":[{"id":7211,"text":"University of Alaska, Fairbanks","active":true,"usgs":false}],"preferred":false,"id":424264,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McGuire, A. D.","contributorId":16552,"corporation":false,"usgs":true,"family":"McGuire","given":"A. D.","affiliations":[],"preferred":false,"id":424267,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhuang, Q.","contributorId":40772,"corporation":false,"usgs":true,"family":"Zhuang","given":"Q.","email":"","affiliations":[],"preferred":false,"id":424272,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Melillo, J.","contributorId":33081,"corporation":false,"usgs":false,"family":"Melillo","given":"J.","affiliations":[{"id":13206,"text":"Sea Education Association, Woods Hole, Massachusetts","active":true,"usgs":false}],"preferred":false,"id":424270,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kicklighter, D. W.","contributorId":31537,"corporation":false,"usgs":false,"family":"Kicklighter","given":"D. W.","affiliations":[{"id":13627,"text":"Woods Hole Oceanographic Institution, Woods Hole, MA","active":true,"usgs":false}],"preferred":false,"id":424269,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kasischke, E.","contributorId":58803,"corporation":false,"usgs":true,"family":"Kasischke","given":"E.","email":"","affiliations":[],"preferred":false,"id":424274,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wirth, C.","contributorId":87334,"corporation":false,"usgs":false,"family":"Wirth","given":"C.","email":"","affiliations":[],"preferred":false,"id":424278,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Flannigan, M.","contributorId":62391,"corporation":false,"usgs":false,"family":"Flannigan","given":"M.","affiliations":[{"id":13540,"text":"Canadian Forest Service","active":true,"usgs":false}],"preferred":false,"id":424275,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Harden, J.","contributorId":43918,"corporation":false,"usgs":true,"family":"Harden","given":"J.","email":"","affiliations":[],"preferred":false,"id":424273,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Clein, Joy S.","contributorId":83697,"corporation":false,"usgs":true,"family":"Clein","given":"Joy","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":424277,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Burnside, T.J.","contributorId":73014,"corporation":false,"usgs":true,"family":"Burnside","given":"T.J.","email":"","affiliations":[],"preferred":false,"id":424276,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"McAllister, J.","contributorId":24998,"corporation":false,"usgs":true,"family":"McAllister","given":"J.","email":"","affiliations":[],"preferred":false,"id":424268,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Kurz, W.A.","contributorId":9867,"corporation":false,"usgs":true,"family":"Kurz","given":"W.A.","email":"","affiliations":[],"preferred":false,"id":424265,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Apps, M.","contributorId":33092,"corporation":false,"usgs":true,"family":"Apps","given":"M.","email":"","affiliations":[],"preferred":false,"id":424271,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Shvidenko, A.","contributorId":10197,"corporation":false,"usgs":true,"family":"Shvidenko","given":"A.","email":"","affiliations":[],"preferred":false,"id":424266,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70029782,"text":"70029782 - 2007 - Satellite telemetry and prey sampling reveal contaminant sources to pacific northwest ospreys","interactions":[],"lastModifiedDate":"2017-11-15T10:17:55","indexId":"70029782","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Satellite telemetry and prey sampling reveal contaminant sources to pacific northwest ospreys","docAbstract":"Migratory behavior can be an important factor in determining contaminant exposure in avian populations. Accumulation of organochlorine (OC) pesticides while birds are wintering in tropical regions has been cited often as the reason for high concentrations in migrant populations. To explore this issue, we satellite tracked 16 Ospreys (Pandion haliaetus) over the period 1996-2003 from breeding sites in British Columbia, Canada, and integrated the results into a database on 15 Ospreys that were satellite tracked over the period 1995-1999, from breeding locations in Washington and Oregon, USA. Data on wintering sites of 31 Ospreys in Mexico and Central America were used for spatially targeted sampling of prey fish. Concentrations of the main organochlorine contaminant, p,p???-dichloro-diphenyl-dichloroethylene (DDE), in fish composites from Mexico ranged from 0.005 to 0.115 ??g/g wet mass. Significant differences existed among fish families in p,p???-DDE, total dichloro- diphenyltrichloroethane (??DDT), ??chlordanes, and total polychlorinated biphenyls (??PCBs). Catfish (family Ariidae) generally had significantly higher levels of DDT metabolites and other organochlorine contaminants compared to other fish families collected. Differences in prey contaminant levels were detected among the collection sites around coastal Mexico, with fish from Veracruz State generally having higher levels of DDT metabolites, ??chlordanes, ??PCBs, and hexachlorobenzene. Eggs collected from 16 nests throughout the Pacific Northwest (nine from British Columbia, seven from Oregon and Washington) where Ospreys had been satellite tagged, showed marked variation in levels of DDT metabolites (p,p???-DDE; range 0.02-10.14 ??g/g). Wintering site had no significant effect on contaminant concentrations in sample eggs from those specific Ospreys; rather concentrations of p,p???-DDE, were predicted by breeding sites with highest levels in eggs of Ospreys breeding in the lower Columbia River, consistent with published reports of continued high concentrations of DDT and related compounds in that system. ?? 2007 by the Ecological Society of America.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Applications","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1890/06-1213","issn":"10510761","usgsCitation":"Elliott, J.E., Morrissey, C., Henny, C.J., Inzunza, E., and Shaw, P., 2007, Satellite telemetry and prey sampling reveal contaminant sources to pacific northwest ospreys: Ecological Applications, v. 17, no. 4, p. 1223-1233, https://doi.org/10.1890/06-1213.","startPage":"1223","endPage":"1233","numberOfPages":"11","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":240548,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":212974,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/06-1213"}],"volume":"17","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b86e6e4b08c986b3161c5","contributors":{"authors":[{"text":"Elliott, J. E.","contributorId":19914,"corporation":false,"usgs":true,"family":"Elliott","given":"J.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":424297,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morrissey, C.A.","contributorId":35548,"corporation":false,"usgs":true,"family":"Morrissey","given":"C.A.","email":"","affiliations":[],"preferred":false,"id":424298,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Henny, Charles J.","contributorId":12578,"corporation":false,"usgs":true,"family":"Henny","given":"Charles","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":424296,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Inzunza, E.R.","contributorId":82532,"corporation":false,"usgs":true,"family":"Inzunza","given":"E.R.","email":"","affiliations":[],"preferred":false,"id":424299,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shaw, P.","contributorId":103475,"corporation":false,"usgs":true,"family":"Shaw","given":"P.","email":"","affiliations":[],"preferred":false,"id":424300,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70031353,"text":"70031353 - 2007 - Consequences of land-cover misclassification in models of impervious surface","interactions":[],"lastModifiedDate":"2023-02-10T17:53:07.880351","indexId":"70031353","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3052,"text":"Photogrammetric Engineering and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Consequences of land-cover misclassification in models of impervious surface","docAbstract":"Model estimates of impervious area as a function of landcover area may be biased and imprecise because of errors in the land-cover classification. This investigation of the effects of land-cover misclassification on impervious surface models that use National Land Cover Data (NLCD) evaluates the consequences of adjusting land-cover within a watershed to reflect uncertainty assessment information. Model validation results indicate that using error-matrix information to adjust land-cover values used in impervious surface models does not substantially improve impervious surface predictions. Validation results indicate that the resolution of the landcover data (Level I and Level II) is more important in predicting impervious surface accurately than whether the land-cover data have been adjusted using information in the error matrix. Level I NLCD, adjusted for land-cover misclassification, is preferable to the other land-cover options for use in models of impervious surface. This result is tied to the lower classification error rates for the Level I NLCD. ?? 2007 American Society for Photogrammetry and Remote Sensing.","language":"English","publisher":"ASPRS","doi":"10.14358/PERS.73.12.1343","usgsCitation":"McMahon, G., 2007, Consequences of land-cover misclassification in models of impervious surface: Photogrammetric Engineering and Remote Sensing, v. 73, no. 12, p. 1343-1353, https://doi.org/10.14358/PERS.73.12.1343.","productDescription":"11 p.","startPage":"1343","endPage":"1353","numberOfPages":"11","costCenters":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"links":[{"id":477076,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.14358/pers.73.12.1343","text":"Publisher Index Page"},{"id":240061,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"73","issue":"12","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f9d5e4b0c8380cd4d7e6","contributors":{"authors":[{"text":"McMahon, Gerard 0000-0001-7675-777X gmcmahon@usgs.gov","orcid":"https://orcid.org/0000-0001-7675-777X","contributorId":191488,"corporation":false,"usgs":true,"family":"McMahon","given":"Gerard","email":"gmcmahon@usgs.gov","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":431172,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70031263,"text":"70031263 - 2007 - Mars global digital dune database and initial science results","interactions":[],"lastModifiedDate":"2019-02-19T09:40:05","indexId":"70031263","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2317,"text":"Journal of Geophysical Research E: Planets","active":true,"publicationSubtype":{"id":10}},"title":"Mars global digital dune database and initial science results","docAbstract":"<p><span>A new Mars Global Digital Dune Database (MGD</span><sup>3</sup><span>) constructed using Thermal Emission Imaging System (THEMIS) infrared (IR) images provides a comprehensive and quantitative view of the geographic distribution of moderate‐ to large‐size dune fields (area &gt;1 km</span><sup>2</sup><span>) that will help researchers to understand global climatic and sedimentary processes that have shaped the surface of Mars. MGD</span><sup>3</sup><span>&nbsp;extends from 65°N to 65°S latitude and includes ∼550 dune fields, covering ∼70,000 km</span><sup>2</sup><span>, with an estimated total volume of ∼3,600 km</span><sup>3</sup><span>. This area, when combined with polar dune estimates, suggests moderate‐ to large‐size dune field coverage on Mars may total ∼800,000 km</span><sup>2</sup><span>, ∼6 times less than the total areal estimate of ∼5,000,000 km</span><sup>2<span>&nbsp;</span></sup><span>for terrestrial dunes. Where availability and quality of THEMIS visible (VIS) or Mars Orbiter Camera narrow‐angle (MOC NA) images allow, we classify dunes and include dune slipface measurements, which are derived from gross dune morphology and represent the prevailing wind direction at the last time of significant dune modification. For dunes located within craters, the azimuth from crater centroid to dune field centroid (referred to as dune centroid azimuth) is calculated and can provide an accurate method for tracking dune migration within smooth‐floored craters. These indicators of wind direction are compared to output from a general circulation model (GCM). Dune centroid azimuth values generally correlate to regional wind patterns. Slipface orientations are less well correlated, suggesting that local topographic effects may play a larger role in dune orientation than regional winds.</span></p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research E: Planets","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1029/2007JE002943","issn":"01480227","usgsCitation":"Hayward, R., Mullins, K.F., Fenton, L.K., Hare, T.M., Titus, T.N., Bourke, M.C., Colaprete, A., and Christensen, P.R., 2007, Mars global digital dune database and initial science results: Journal of Geophysical Research E: Planets, v. 112, no. 11, 17 p., https://doi.org/10.1029/2007JE002943.","productDescription":"17 p.","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":477342,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2007je002943","text":"Publisher Index Page"},{"id":238655,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mars","volume":"112","issue":"11","noUsgsAuthors":false,"publicationDate":"2007-11-20","publicationStatus":"PW","scienceBaseUri":"505a5223e4b0c8380cd6c1a8","contributors":{"authors":[{"text":"Hayward, Rosalyn K. 0000-0002-7428-0311 rhayward@usgs.gov","orcid":"https://orcid.org/0000-0002-7428-0311","contributorId":571,"corporation":false,"usgs":true,"family":"Hayward","given":"Rosalyn K.","email":"rhayward@usgs.gov","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":false,"id":430795,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mullins, Kevin F.","contributorId":47950,"corporation":false,"usgs":true,"family":"Mullins","given":"Kevin","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":430800,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fenton, Lori K.","contributorId":208682,"corporation":false,"usgs":false,"family":"Fenton","given":"Lori","email":"","middleInitial":"K.","affiliations":[{"id":37319,"text":"SETI Institute","active":true,"usgs":false}],"preferred":false,"id":430798,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hare, Trent M. 0000-0001-8842-389X thare@usgs.gov","orcid":"https://orcid.org/0000-0001-8842-389X","contributorId":3188,"corporation":false,"usgs":true,"family":"Hare","given":"Trent","email":"thare@usgs.gov","middleInitial":"M.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":430796,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Titus, Timothy N. 0000-0003-0700-4875 ttitus@usgs.gov","orcid":"https://orcid.org/0000-0003-0700-4875","contributorId":146,"corporation":false,"usgs":true,"family":"Titus","given":"Timothy","email":"ttitus@usgs.gov","middleInitial":"N.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":430799,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bourke, Mary C.","contributorId":105992,"corporation":false,"usgs":true,"family":"Bourke","given":"Mary","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":430797,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Colaprete, Anthony","contributorId":197548,"corporation":false,"usgs":false,"family":"Colaprete","given":"Anthony","email":"","affiliations":[],"preferred":false,"id":430794,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Christensen, Phillip R.","contributorId":18098,"corporation":false,"usgs":false,"family":"Christensen","given":"Phillip","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":430793,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70031591,"text":"70031591 - 2007 - Using topographic lidar data to delineate the North Carolina Shoreline","interactions":[],"lastModifiedDate":"2017-10-04T18:58:37","indexId":"70031591","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Using topographic lidar data to delineate the North Carolina Shoreline","docAbstract":"<p>In North Carolina, shoreline change rates are an important component of the state's coastal management program. To enhance methods of measuring shoreline change, the NC Division of Coastal Management (DCM) is considering using mean high water (MHW) shorelines extracted from lidar data together with traditional wet/dry shorelines digitized from aerial photography. To test their compatibility, a wet/dry line and MHW shoreline derived from a concurrent 2004 oceanfront photography and lidar dataset were compared along a distance of 244 km. Results show that the MHW shoreline was seaward of the wet/dry shoreline by 2.82 m on average, and that this offset biased shoreline change rates by an average of 0.05 m/yr. The offset was greatest on low-sloping beaches experiencing higher water levels at the time of photography, but overall was small enough to suggest that the MHW shoreline can be a reliable substitute for the wet/dry shoreline.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Coastal Sediments '07 - Proceedings of 6th International Symposium on Coastal Engineering and Science of Coastal Sediment Processes","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"6th International Symposium on Coastal Engineering and Science of Coastal Sediment Processes","conferenceLocation":"New Orleans, LA","language":"English","publisher":"American Society of Civil Engineers","doi":"10.1061/40926(239)144","isbn":"0784409269; 9780784409268","usgsCitation":"Limber, P., List, J., Warren, J.D., Farris, A., and Weber, K., 2007, Using topographic lidar data to delineate the North Carolina Shoreline, <i>in</i> Coastal Sediments '07 - Proceedings of 6th International Symposium on Coastal Engineering and Science of Coastal Sediment Processes, New Orleans, LA, p. 1837-1850, https://doi.org/10.1061/40926(239)144.","productDescription":"14 p.","startPage":"1837","endPage":"1850","costCenters":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":240002,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -78.6749,33.841 ], [ -78.6749,36.5882 ], [ -75.46,36.5882 ], [ -75.46,33.841 ], [ -78.6749,33.841 ] ] ] } } ] }","noUsgsAuthors":false,"publicationDate":"2012-04-26","publicationStatus":"PW","scienceBaseUri":"505bc0bae4b08c986b32a2b9","contributors":{"authors":[{"text":"Limber, Patrick W.","contributorId":38904,"corporation":false,"usgs":true,"family":"Limber","given":"Patrick W.","affiliations":[],"preferred":false,"id":432244,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"List, Jeffrey H. jlist@usgs.gov","contributorId":2416,"corporation":false,"usgs":true,"family":"List","given":"Jeffrey H.","email":"jlist@usgs.gov","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":false,"id":432241,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Warren, Jeffrey D.","contributorId":21869,"corporation":false,"usgs":true,"family":"Warren","given":"Jeffrey","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":432242,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Farris, Amy S.","contributorId":28075,"corporation":false,"usgs":true,"family":"Farris","given":"Amy S.","affiliations":[],"preferred":false,"id":432243,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Weber, Kathryn M.","contributorId":83387,"corporation":false,"usgs":true,"family":"Weber","given":"Kathryn M.","affiliations":[],"preferred":false,"id":432245,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70031028,"text":"70031028 - 2007 - A method to estimate groundwater depletion from confining layers","interactions":[],"lastModifiedDate":"2018-10-17T10:04:38","indexId":"70031028","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"A method to estimate groundwater depletion from confining layers","docAbstract":"<p><span>Although depletion of storage in low‐permeability confining layers is the source of much of the groundwater produced from many confined aquifer systems, it is all too frequently overlooked or ignored. This makes effective management of groundwater resources difficult by masking how much water has been derived from storage and, in some cases, the total amount of water that has been extracted from an aquifer system. Analyzing confining layer storage is viewed as troublesome because of the additional computational burden and because the hydraulic properties of confining layers are poorly known. In this paper we propose a simplified method for computing estimates of confining layer depletion, as well as procedures for approximating confining layer hydraulic conductivity (</span><i>K</i><span>) and specific storage (</span><i>S</i><sub><i>s</i></sub><span>) using geologic information. The latter makes the technique useful in developing countries and other settings where minimal data are available or when scoping calculations are needed. As such, our approach may be helpful for estimating the global transfer of groundwater to surface water. A test of the method on a synthetic system suggests that the computational errors will generally be small. Larger errors will probably result from inaccuracy in confining layer property estimates, but these may be no greater than errors in more sophisticated analyses. The technique is demonstrated by application to two aquifer systems: the Dakota artesian aquifer system in South Dakota and the coastal plain aquifer system in Virginia. In both cases, depletion from confining layers was substantially larger than depletion from the aquifers.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2006WR005597","usgsCitation":"Konikow, L.F., and Neuzil, C.E., 2007, A method to estimate groundwater depletion from confining layers: Water Resources Research, v. 43, no. 7, W07417; 15 p., https://doi.org/10.1029/2006WR005597.","productDescription":"W07417; 15 p.","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":477219,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2006wr005597","text":"Publisher Index Page"},{"id":238609,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"43","issue":"7","noUsgsAuthors":false,"publicationDate":"2007-07-13","publicationStatus":"PW","scienceBaseUri":"5059e460e4b0c8380cd465ff","contributors":{"authors":[{"text":"Konikow, Leonard F. 0000-0002-0940-3856 lkonikow@usgs.gov","orcid":"https://orcid.org/0000-0002-0940-3856","contributorId":158,"corporation":false,"usgs":true,"family":"Konikow","given":"Leonard","email":"lkonikow@usgs.gov","middleInitial":"F.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":429688,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Neuzil, Christopher E. 0000-0003-2022-4055 ceneuzil@usgs.gov","orcid":"https://orcid.org/0000-0003-2022-4055","contributorId":2322,"corporation":false,"usgs":true,"family":"Neuzil","given":"Christopher","email":"ceneuzil@usgs.gov","middleInitial":"E.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":429689,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70031572,"text":"70031572 - 2007 - Linking ground-water age and chemistry data along flow paths: Implications for trends and transformations of nitrate and pesticides","interactions":[],"lastModifiedDate":"2018-09-26T15:48:13","indexId":"70031572","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2233,"text":"Journal of Contaminant Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Linking ground-water age and chemistry data along flow paths: Implications for trends and transformations of nitrate and pesticides","docAbstract":"<p>Tracer-based ground-water ages, along with the concentrations of pesticides, nitrogen species, and other redox-active constituents, were used to evaluate the trends and transformations of agricultural chemicals along flow paths in diverse hydrogeologic settings. A range of conditions affecting the transformation of nitrate and pesticides (e.g., thickness of unsaturated zone, redox conditions) was examined at study sites in Georgia, North Carolina, Wisconsin, and California. Deethylatrazine (DEA), a transformation product of atrazine, was typically present at concentrations higher than those of atrazine at study sites with thick unsaturated zones but not at sites with thin unsaturated zones. Furthermore, the fraction of atrazine plus DEA that was present as DEA did not increase as a function of ground-water age. These findings suggest that atrazine degradation occurs primarily in the unsaturated zone with little or no degradation in the saturated zone. Similar observations were also made for metolachlor and alachlor. The fraction of the initial nitrate concentration found as excess N2 (N2 derived from denitrification) increased with ground-water age only at the North Carolina site, where oxic conditions were generally limited to the top 5??m of saturated thickness. Historical trends in fluxes to ground water were evaluated by relating the times of recharge of ground-water samples, estimated using chlorofluorocarbon concentrations, with concentrations of the parent compound at the time of recharge, estimated by summing the molar concentrations of the parent compound and its transformation products in the age-dated sample. Using this approach, nitrate concentrations were estimated to have increased markedly from 1960 to the present at all study sites. Trends in concentrations of atrazine, metolachlor, alachlor, and their degradates were related to the timing of introduction and use of these compounds. Degradates, and to a lesser extent parent compounds, were detected in ground water dating back to the time these compounds were introduced.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jconhyd.2007.05.007","issn":"01697722","usgsCitation":"Tesoriero, A., Saad, D.A., Burow, K., Frick, E.A., Puckett, L., and Barbash, J., 2007, Linking ground-water age and chemistry data along flow paths: Implications for trends and transformations of nitrate and pesticides: Journal of Contaminant Hydrology, v. 94, no. 1-2, p. 139-155, https://doi.org/10.1016/j.jconhyd.2007.05.007.","productDescription":"17 p.","startPage":"139","endPage":"155","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":239700,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":212242,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jconhyd.2007.05.007"}],"volume":"94","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a47d3e4b0c8380cd679e0","contributors":{"authors":[{"text":"Tesoriero, A. J.","contributorId":99127,"corporation":false,"usgs":true,"family":"Tesoriero","given":"A. J.","affiliations":[],"preferred":false,"id":432179,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Saad, D. A.","contributorId":85212,"corporation":false,"usgs":true,"family":"Saad","given":"D.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":432178,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burow, K.R. 0000-0001-6006-6667","orcid":"https://orcid.org/0000-0001-6006-6667","contributorId":48283,"corporation":false,"usgs":true,"family":"Burow","given":"K.R.","affiliations":[],"preferred":false,"id":432175,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Frick, E. A.","contributorId":61840,"corporation":false,"usgs":true,"family":"Frick","given":"E.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":432176,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Puckett, L.J.","contributorId":27503,"corporation":false,"usgs":true,"family":"Puckett","given":"L.J.","email":"","affiliations":[],"preferred":false,"id":432174,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Barbash, J.E.","contributorId":62783,"corporation":false,"usgs":true,"family":"Barbash","given":"J.E.","email":"","affiliations":[],"preferred":false,"id":432177,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70031033,"text":"70031033 - 2007 - Invasive plants and their ecological strategies: Prediction and explanation of woody plant invasion in New England","interactions":[],"lastModifiedDate":"2012-03-12T17:21:16","indexId":"70031033","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1399,"text":"Diversity and Distributions","active":true,"publicationSubtype":{"id":10}},"title":"Invasive plants and their ecological strategies: Prediction and explanation of woody plant invasion in New England","docAbstract":"Effective management of introduced species requires the early identification of species that pose a significant threat of becoming invasive. To better understand the invasive ecology of species in New England, USA, we compiled a character data set with which to compare non-native species that are known invaders to non-native species that are not currently known to be invasive. In contrast to previous biological trait-based models, we employed a Bayesian hierarchical analysis to identify sets of plant traits associated with invasiveness for each of three growth forms (vines, shrubs, and trees). The resulting models identify a suite of 'invasive traits' highlighting the ecology associated with invasiveness for each of three growth forms. The most effective predictors of invasiveness that emerged from our model were 'invasive elsewhere', 'fast growth rate', 'native latitudinal range', and 'growth form'. The contrast among growth forms was pronounced. For example, 'wind dispersal' was positively correlated with invasiveness in trees, but negatively correlated in shrubs and vines. The predictive model was able to correctly classify invasive plants 67% of the time (22/33), and non-invasive plants 95% of the time (204/215). A number of potential future invasive species in New England that deserve management consideration were identified. ?? 2007 The Authors.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Diversity and Distributions","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1111/j.1472-4642.2007.00381.x","issn":"13669516","usgsCitation":"Herron, P., Martine, C., Latimer, A., and Leicht-Young, S.A., 2007, Invasive plants and their ecological strategies: Prediction and explanation of woody plant invasion in New England: Diversity and Distributions, v. 13, no. 5, p. 633-644, https://doi.org/10.1111/j.1472-4642.2007.00381.x.","startPage":"633","endPage":"644","numberOfPages":"12","costCenters":[],"links":[{"id":477238,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1472-4642.2007.00381.x","text":"Publisher Index Page"},{"id":211423,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1472-4642.2007.00381.x"},{"id":238709,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","issue":"5","noUsgsAuthors":false,"publicationDate":"2007-06-05","publicationStatus":"PW","scienceBaseUri":"505a3e24e4b0c8380cd63b37","contributors":{"authors":[{"text":"Herron, P.M.","contributorId":17040,"corporation":false,"usgs":true,"family":"Herron","given":"P.M.","email":"","affiliations":[],"preferred":false,"id":429703,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martine, C.T.","contributorId":20542,"corporation":false,"usgs":true,"family":"Martine","given":"C.T.","email":"","affiliations":[],"preferred":false,"id":429704,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Latimer, A.M.","contributorId":24167,"corporation":false,"usgs":true,"family":"Latimer","given":"A.M.","email":"","affiliations":[],"preferred":false,"id":429705,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Leicht-Young, S. A.","contributorId":41648,"corporation":false,"usgs":true,"family":"Leicht-Young","given":"S.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":429706,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70031038,"text":"70031038 - 2007 - Integrating laboratory creep compaction data with numerical fault models: A Bayesian framework","interactions":[],"lastModifiedDate":"2023-07-27T12:24:12.666509","indexId":"70031038","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","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":"Integrating laboratory creep compaction data with numerical fault models: A Bayesian framework","docAbstract":"<div class=\"\"><div class=\"article-section__content en main\"><p><span class=\"paraNumber\">[1]<span>&nbsp;</span></span>We developed a robust Bayesian inversion scheme to plan and analyze laboratory creep compaction experiments. We chose a simple creep law that features the main parameters of interest when trying to identify rate-controlling mechanisms from experimental data. By integrating the chosen creep law or an approximation thereof, one can use all the data, either simultaneously or in overlapping subsets, thus making more complete use of the experiment data and propagating statistical variations in the data through to the final rate constants. Despite the nonlinearity of the problem, with this technique one can retrieve accurate estimates of both the stress exponent and the activation energy, even when the porosity time series data are noisy. Whereas adding observation points and/or experiments reduces the uncertainty on all parameters, enlarging the range of temperature or effective stress significantly reduces the covariance between stress exponent and activation energy. We apply this methodology to hydrothermal creep compaction data on quartz to obtain a quantitative, semiempirical law for fault zone compaction in the interseismic period. Incorporating this law into a simple direct rupture model, we find marginal distributions of the time to failure that are robust with respect to errors in the initial fault zone porosity.</p></div></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2006JB004792","issn":"01480227","usgsCitation":"Fitzenz, D., Jalobeanu, A., and Hickman, S., 2007, Integrating laboratory creep compaction data with numerical fault models: A Bayesian framework: Journal of Geophysical Research B: Solid Earth, v. 112, no. 8, 18 p., https://doi.org/10.1029/2006JB004792.","productDescription":"18 p.","costCenters":[],"links":[{"id":477346,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2006jb004792","text":"Publisher Index Page"},{"id":238776,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"112","issue":"8","noUsgsAuthors":false,"publicationDate":"2007-08-14","publicationStatus":"PW","scienceBaseUri":"505a3c7be4b0c8380cd62d89","contributors":{"authors":[{"text":"Fitzenz, D.D.","contributorId":61218,"corporation":false,"usgs":true,"family":"Fitzenz","given":"D.D.","email":"","affiliations":[],"preferred":false,"id":429720,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jalobeanu, A.","contributorId":31197,"corporation":false,"usgs":true,"family":"Jalobeanu","given":"A.","affiliations":[],"preferred":false,"id":429719,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hickman, S.H. 0000-0003-2075-9615","orcid":"https://orcid.org/0000-0003-2075-9615","contributorId":16027,"corporation":false,"usgs":true,"family":"Hickman","given":"S.H.","affiliations":[],"preferred":false,"id":429718,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70031273,"text":"70031273 - 2007 - Application of ground-penetrating radar imagery for three-dimensional visualisation of near-surface structures in ice-rich permafrost, Barrow, Alaska","interactions":[],"lastModifiedDate":"2017-03-10T14:14:48","indexId":"70031273","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3032,"text":"Permafrost and Periglacial Processes","active":true,"publicationSubtype":{"id":10}},"title":"Application of ground-penetrating radar imagery for three-dimensional visualisation of near-surface structures in ice-rich permafrost, Barrow, Alaska","docAbstract":"<p><span>Three-dimensional ground-penetrating radar (3D GPR) was used to investigate the subsurface structure of ice-wedge polygons and other features of the frozen active layer and near-surface permafrost near Barrow, Alaska. Surveys were conducted at three sites located on landscapes of different geomorphic age. At each site, sediment cores were collected and characterised to aid interpretation of GPR data. At two sites, 3D GPR was able to delineate subsurface ice-wedge networks with high fidelity. Three-dimensional GPR data also revealed a fundamental difference in ice-wedge morphology between these two sites that is consistent with differences in landscape age. At a third site, the combination of two-dimensional and 3D GPR revealed the location of an active frost boil with ataxitic cryostructure. When supplemented by analysis of soil cores, 3D GPR offers considerable potential for imaging, interpreting and 3D mapping of near-surface soil and ice structures in permafrost environments.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ppp.594","issn":"10456740","usgsCitation":"Munroe, J.S., Doolittle, J.A., Kanevskiy, M., Hinkel, K.M., Nelson, F.E., Jones, B.M., Shur, Y., and Kimble, J.M., 2007, Application of ground-penetrating radar imagery for three-dimensional visualisation of near-surface structures in ice-rich permafrost, Barrow, Alaska: Permafrost and Periglacial Processes, v. 18, no. 4, p. 309-321, https://doi.org/10.1002/ppp.594.","productDescription":"13 p.","startPage":"309","endPage":"321","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":239948,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","city":"Barrow","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -157.25,\n              71\n            ],\n            [\n              -155.6,\n              71\n            ],\n            [\n              -155.6,\n              71.4\n            ],\n            [\n              -157.25,\n              71.4\n            ],\n            [\n              -157.25,\n              71\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"18","issue":"4","noUsgsAuthors":false,"publicationDate":"2007-09-11","publicationStatus":"PW","scienceBaseUri":"5059eca1e4b0c8380cd493be","contributors":{"authors":[{"text":"Munroe, Jeffrey S.","contributorId":24175,"corporation":false,"usgs":false,"family":"Munroe","given":"Jeffrey","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":430848,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Doolittle, James A.","contributorId":29951,"corporation":false,"usgs":false,"family":"Doolittle","given":"James","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":430850,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kanevskiy, Mikhail","contributorId":60511,"corporation":false,"usgs":true,"family":"Kanevskiy","given":"Mikhail","affiliations":[],"preferred":false,"id":430852,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hinkel, Kenneth M.","contributorId":15405,"corporation":false,"usgs":true,"family":"Hinkel","given":"Kenneth","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":430847,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nelson, Frederick E.","contributorId":107919,"corporation":false,"usgs":false,"family":"Nelson","given":"Frederick","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":430854,"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":118,"text":"Alaska Science Center Geography","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":430851,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Shur, Yuri","contributorId":39302,"corporation":false,"usgs":true,"family":"Shur","given":"Yuri","affiliations":[],"preferred":false,"id":430849,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kimble, John M.","contributorId":99376,"corporation":false,"usgs":false,"family":"Kimble","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":430853,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70031040,"text":"70031040 - 2007 - Prey density and the behavioral flexibility of a marine predator: The common murre (<i>Uria aalge</i>)","interactions":[],"lastModifiedDate":"2018-08-19T20:05:57","indexId":"70031040","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Prey density and the behavioral flexibility of a marine predator: The common murre (<i>Uria aalge</i>)","docAbstract":"<p>Flexible time budgets allow individual animals to buffer the effects of variable food availability by allocating more time to foraging when food density decreases. This trait should be especially important for marine predators that forage on patchy and ephemeral food resources. We examined flexible time allocation by a long-lived marine predator, the Common Murre (Uria aalge), using data collected in a five-year study at three colonies in Alaska (USA) with contrasting environmental conditions. Annual hydroacoustic surveys revealed an order-of-magnitude variation in food density among the 15 colony-years of study. We used data on parental time budgets and local prey density to test predictions from two hypotheses: Hypothesis A, the colony attendance of seabirds varies nonlinearly with food density; and Hypothesis B, flexible time allocation of parent murres buffers chicks against variable food availability. Hypothesis A was supported; colony attendance by murres was positively correlated with food over a limited range of poor-to-moderate food densities, but independent of food over a broader range of higher densities. This is the first empirical evidence for a nonlinear response of a marine predator's time budget to changes in prey density. Predictions from Hypothesis B were largely supported: (1) chick-feeding rates were fairly constant over a wide range of densities and only dropped below 3.5 meals per day at the low end of prey density, and (2) there was a nonlinear relationship between chick-feeding rates and time spent at the colony, with chick-feeding rates only declining after time at the colony by the nonbrooding parent was reduced to a minimum. The ability of parents to adjust their foraging time by more than 2 h/d explains why they were able to maintain chick-feeding rates of more than 3.5 meals/d across a 10-fold range in local food density. ?? 2007 by the Ecological Society of America.</p>","language":"English","publisher":"Ecological Society of America","doi":"10.1890/06-1695.1","issn":"00129658","usgsCitation":"Harding, A., Piatt, J.F., Schmutz, J.A., Shultz, M., van Pelt, T.I., Kettle, A.B., and Speckman, S., 2007, Prey density and the behavioral flexibility of a marine predator: The common murre (<i>Uria aalge</i>): Ecology, v. 88, no. 8, p. 2024-2033, https://doi.org/10.1890/06-1695.1.","productDescription":"10 p.","startPage":"2024","endPage":"2033","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":238809,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":211510,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/06-1695.1"}],"volume":"88","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a8b7ce4b0c8380cd7e275","contributors":{"authors":[{"text":"Harding, A.M.A.","contributorId":29088,"corporation":false,"usgs":true,"family":"Harding","given":"A.M.A.","email":"","affiliations":[],"preferred":false,"id":429736,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Piatt, John F. 0000-0002-4417-5748 jpiatt@usgs.gov","orcid":"https://orcid.org/0000-0002-4417-5748","contributorId":3025,"corporation":false,"usgs":true,"family":"Piatt","given":"John","email":"jpiatt@usgs.gov","middleInitial":"F.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":429738,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schmutz, Joel A. 0000-0002-6516-0836 jschmutz@usgs.gov","orcid":"https://orcid.org/0000-0002-6516-0836","contributorId":1805,"corporation":false,"usgs":true,"family":"Schmutz","given":"Joel","email":"jschmutz@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":429735,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shultz, M.T.","contributorId":62006,"corporation":false,"usgs":true,"family":"Shultz","given":"M.T.","email":"","affiliations":[],"preferred":false,"id":429737,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"van Pelt, Thomas I.","contributorId":13392,"corporation":false,"usgs":true,"family":"van Pelt","given":"Thomas","email":"","middleInitial":"I.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":false,"id":429734,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kettle, Arthur B.","contributorId":98064,"corporation":false,"usgs":false,"family":"Kettle","given":"Arthur","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":429739,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Speckman, Suzann G.","contributorId":88217,"corporation":false,"usgs":true,"family":"Speckman","given":"Suzann G.","affiliations":[],"preferred":false,"id":429740,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70031569,"text":"70031569 - 2007 - Time-optimum packet scheduling for many-to-one routing in wireless sensor networks","interactions":[],"lastModifiedDate":"2012-03-12T17:21:12","indexId":"70031569","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Time-optimum packet scheduling for many-to-one routing in wireless sensor networks","docAbstract":"This paper studies the WSN application scenario with periodical traffic from all sensors to a sink. We present a time-optimum and energy-efficient packet scheduling algorithm and its distributed implementation. We first give a general many-to-one packet scheduling algorithm for wireless networks, and then prove that it is time-optimum and costs max(2N(u1) - 1, N(u 0) -1) time slots, assuming each node reports one unit of data in each round. Here N(u0) is the total number of sensors, while N(u 1) denotes the number of sensors in a sink's largest branch subtree. With a few adjustments, we then show that our algorithm also achieves time-optimum scheduling in heterogeneous scenarios, where each sensor reports a heterogeneous amount of data in each round. Then we give a distributed implementation to let each node calculate its duty-cycle locally and maximize efficiency globally. In this packet scheduling algorithm, each node goes to sleep whenever it is not transceiving, so that the energy waste of idle listening is also eliminated. Finally, simulations are conducted to evaluate network performance using the Qualnet simulator. Among other contributions, our study also identifies the maximum reporting frequency that a deployed sensor network can handle. ??2006 IEEE.","largerWorkTitle":"2006 IEEE International Conference on Mobile Ad Hoc and Sensor Systems, MASS","conferenceTitle":"2006 IEEE International Conference on Mobile Ad Hoc and Sensor Sysetems, MASS","conferenceDate":"9 October 2006 through 12 October 2006","conferenceLocation":"Vancouver, BC","language":"English","doi":"10.1109/MOBHOC.2006.278656","isbn":"1424405076; 9781424405077","usgsCitation":"Song, W., Yuan, F., and LaHuser, R., 2007, Time-optimum packet scheduling for many-to-one routing in wireless sensor networks, <i>in</i> 2006 IEEE International Conference on Mobile Ad Hoc and Sensor Systems, MASS, Vancouver, BC, 9 October 2006 through 12 October 2006, p. 81-90, https://doi.org/10.1109/MOBHOC.2006.278656.","startPage":"81","endPage":"90","numberOfPages":"10","costCenters":[],"links":[{"id":212182,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1109/MOBHOC.2006.278656"},{"id":239632,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bb3d4e4b08c986b325ff2","contributors":{"authors":[{"text":"Song, W.-Z.","contributorId":23334,"corporation":false,"usgs":true,"family":"Song","given":"W.-Z.","email":"","affiliations":[],"preferred":false,"id":432165,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yuan, F.","contributorId":104287,"corporation":false,"usgs":true,"family":"Yuan","given":"F.","email":"","affiliations":[],"preferred":false,"id":432167,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"LaHuser, R.","contributorId":80900,"corporation":false,"usgs":true,"family":"LaHuser","given":"R.","email":"","affiliations":[],"preferred":false,"id":432166,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70031256,"text":"70031256 - 2007 - On the choice of statistical models for estimating occurrence and extinction from animal surveys","interactions":[],"lastModifiedDate":"2012-03-12T17:21:19","indexId":"70031256","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"On the choice of statistical models for estimating occurrence and extinction from animal surveys","docAbstract":"In surveys of natural animal populations the number of animals that are present and available to be detected at a sample location is often low, resulting in few or no detections. Low detection frequencies are especially common in surveys of imperiled species; however, the choice of sampling method and protocol also may influence the size of the population that is vulnerable to detection. In these circumstances, probabilities of animal occurrence and extinction will generally be estimated more accurately if the models used in data analysis account for differences in abundance among sample locations and for the dependence between site-specific abundance and detection. Simulation experiments are used to illustrate conditions wherein these types of models can be expected to outperform alternative estimators of population site occupancy and extinction. ?? 2007 by the Ecological Society of America.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1890/07-0006.1","issn":"00129658","usgsCitation":"Dorazio, R., 2007, On the choice of statistical models for estimating occurrence and extinction from animal surveys: Ecology, v. 88, no. 11, p. 2773-2782, https://doi.org/10.1890/07-0006.1.","startPage":"2773","endPage":"2782","numberOfPages":"10","costCenters":[],"links":[{"id":487661,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/07-0006.1","text":"Publisher Index Page"},{"id":238623,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":211347,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/07-0006.1"}],"volume":"88","issue":"11","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a6dbce4b0c8380cd752cb","contributors":{"authors":[{"text":"Dorazio, R.M. 0000-0003-2663-0468","orcid":"https://orcid.org/0000-0003-2663-0468","contributorId":23475,"corporation":false,"usgs":true,"family":"Dorazio","given":"R.M.","affiliations":[],"preferred":false,"id":430756,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70042808,"text":"cir13064B - 2007 - Data access and dissemination for emergency response and long-term recovery efforts related to Hurricanes Katrina and Rita","interactions":[],"lastModifiedDate":"2019-06-18T12:09:32","indexId":"cir13064B","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1306","chapter":"4B","title":"Data access and dissemination for emergency response and long-term recovery efforts related to Hurricanes Katrina and Rita","docAbstract":"The U.S. Geological Survey's (USGS) National Wetlands Research Center (NWRC) responded to Hurricanes Katrina and Rita by providing geospatial support to Federal, State, and local partners. The NWRC used its data and information management systems to deliver aerial photography and maps to emergency responders in a time of critical need.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Science and the storms-the USGS response to the hurricanes of 2005 (Circular 1306)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir13064B","collaboration":"This report is Chapter 4B in <i>Science and the storms-the USGS response to the hurricanes of 2005</i>.  See <a href=\"http://pubs.er.usgs.gov/publication/cir1306\" target=\"_blank\">Circular 1306</a> for more information and other chapters.","usgsCitation":"Wilson, S., and Cretini, C., 2007, Data access and dissemination for emergency response and long-term recovery efforts related to Hurricanes Katrina and Rita: U.S. Geological Survey Circular 1306, 4 p., https://doi.org/10.3133/cir13064B.","productDescription":"4 p.","startPage":"71","endPage":"74","numberOfPages":"4","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":266414,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/cir_1306_4b.jpg"},{"id":266413,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1306/pdf/c1306_ch4_b.pdf"},{"id":266412,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/circ/1306/"}],"country":"United States","state":"Louisiana;Mississippi","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -91.4,28.9 ], [ -91.4,31.4 ], [ -87.6,31.4 ], [ -87.6,28.9 ], [ -91.4,28.9 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5102660ce4b0d4f5ea817bc1","contributors":{"authors":[{"text":"Wilson, Scott 0000-0001-8055-8618","orcid":"https://orcid.org/0000-0001-8055-8618","contributorId":93103,"corporation":false,"usgs":true,"family":"Wilson","given":"Scott","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":472316,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cretini, Chris 0000-0002-0821-7832","orcid":"https://orcid.org/0000-0002-0821-7832","contributorId":71224,"corporation":false,"usgs":true,"family":"Cretini","given":"Chris","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":472315,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70030923,"text":"70030923 - 2007 - Variation in northern bobwhite demography along two temporal scales","interactions":[],"lastModifiedDate":"2017-12-07T10:59:24","indexId":"70030923","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3103,"text":"Population Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Variation in northern bobwhite demography along two temporal scales","docAbstract":"Quantification and understanding of demographic variation across intra- and inter-annual temporal scales can benefit from the development of theoretical models of evolution and applied conservation of species. We used long-term survey data for northern bobwhites (Colinus virginianus) collected at the northern and southern extent of its geographic range to develop matrix population models which would allow investigation of intra- and inter-annual patterns in bobwhite population dynamics. We first evaluated intra-annual patterns in the importance of a seasonal demographic rate to asymptotic population growth rate with prospective perturbation analysis (elasticity analysis). We then conducted retrospective analysis (life table response experiments) of inter-annual patterns in the contribution of observed changes in demography to the observed change in population growth rate. Survival in the earliest age class during the nonbreeding season had the greatest potential influence in both the northern and southern populations. Examination of inter-annual variation in demography indicated that variation in nonbreeding season survival in the earliest age class contributed the most to observed changes in population growth rate in the northern population. In contrast, changes in fertility in the earliest age class in the southern population had the greatest influence on changes in population growth rate. Prospective elasticity analyses highlight the similarities in bobwhite demography throughout different parts of its geographic range, while retrospective life table response experiments revealed important patterns in the temporal differences of bobwhite life history at the northern and southern extent of its geographic range. ?? 2007 The Society of Population Ecology and Springer.","language":"English","publisher":"Springer","doi":"10.1007/s10144-007-0037-5","issn":"14383896","usgsCitation":"Folk, T., Holmes, R.R., and Grand, J.B., 2007, Variation in northern bobwhite demography along two temporal scales: Population Ecology, v. 49, no. 3, p. 211-219, https://doi.org/10.1007/s10144-007-0037-5.","productDescription":"9 p.","startPage":"211","endPage":"219","numberOfPages":"9","costCenters":[],"links":[{"id":238565,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":211296,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10144-007-0037-5"}],"volume":"49","issue":"3","noUsgsAuthors":false,"publicationDate":"2007-02-15","publicationStatus":"PW","scienceBaseUri":"505bc15fe4b08c986b32a542","contributors":{"authors":[{"text":"Folk, T.H.","contributorId":50688,"corporation":false,"usgs":true,"family":"Folk","given":"T.H.","email":"","affiliations":[],"preferred":false,"id":429248,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holmes, Randall R.","contributorId":201221,"corporation":false,"usgs":false,"family":"Holmes","given":"Randall","email":"","middleInitial":"R.","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":429249,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grand, J. Barry 0000-0002-3576-4567 barry_grand@usgs.gov","orcid":"https://orcid.org/0000-0002-3576-4567","contributorId":579,"corporation":false,"usgs":true,"family":"Grand","given":"J.","email":"barry_grand@usgs.gov","middleInitial":"Barry","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":429247,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70035203,"text":"70035203 - 2007 - Neogene transpressional foreland basin development on the north side of the central alaska range, usibelli group and nenana gravel, tanana basin","interactions":[],"lastModifiedDate":"2012-03-12T17:21:54","indexId":"70035203","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3459,"text":"Special Paper of the Geological Society of America","active":true,"publicationSubtype":{"id":10}},"title":"Neogene transpressional foreland basin development on the north side of the central alaska range, usibelli group and nenana gravel, tanana basin","docAbstract":"Neogene strata of the Tanana basin provide a long-term record of a northwardpropagating, transpressional foreland-basin system related to regional shortening of the central Alaska Range and strike-slip displacement on the Denali fault system. These strata are ???2 km thick and have been deformed and exhumed in thrust faults that form the foothills on the north side of the Alaska Range. The lower part of the sedimentary package, the Usibelli Group, consists of 800 m of mainly Miocene strata that were deposited in fluvial, lacustrine, and peat bog environments of the foredeep depozone of the foreland-basin system. Compositional data from conglomerate and sandstone, as well as recycled Upper Cretaceous palynomorphs, indicate that the Miocene foreland-basin system was supplied increasing amounts of sediment from lithologies currently exposed in thrust sheets located south of the basin. The upper part of the sedimentary package, the Nenana Gravel, consists of 1200 m of mainly Pliocene strata that were deposited in alluvial-fan and braidplain environments in the wedge-top depozone of the foreland-basin system. Compositional data from conglomerate and sandstone, as well as <sup>40</sup>Ar/<sup>39</sup>Ar dating of detrital feldspars in sandstone and from granitic clasts in conglomerate, indicate that lithologies exposed in the central Alaska Range provided most of the detritus to the Pliocene foreland-basin system. 40Ar/39Ar dates from detrital feldspar grains also show that two main suites of plutons contributed sediment to the Nenana Gravel. Detrital feldspars with an average age of 56 Ma are interpreted to have been derived from the McKinley sequence of plutons located south of the Denali fault. Detrital feldspars with an average age of 34 Ma are interpreted to have been derived from plutons located north of the Denali fault. Plutons located south of the Denali fault provided detritus for the lower part of the Nenana Gravel, whereas plutons located north of the Denali fault began to contribute sediment during deposition of the upper part of the Nenana Gravel. This age distribution documented in detrital feldspars of the Nenana Gravel is interpreted as representing a progressive northward exhumation of plutons that were located south of the Pliocene Tanana basin. In contrast to previous studies, we interpret the Usibelli Group and Nenana Gravel to represent a continuum in the evolution of a transpressional foreland basin that began during Miocene time on the north side of the Alaska Range. Copyright ?? 2007 The Geological Society of America.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Special Paper of the Geological Society of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1130/2007.2431(20)","issn":"00721077","usgsCitation":"Ridgway, K., Thoms, E., Layer, P., Lesh, M., White, J.M., and Smith, S.V., 2007, Neogene transpressional foreland basin development on the north side of the central alaska range, usibelli group and nenana gravel, tanana basin: Special Paper of the Geological Society of America, no. 431, p. 507-547, https://doi.org/10.1130/2007.2431(20).","startPage":"507","endPage":"547","numberOfPages":"41","costCenters":[],"links":[{"id":215244,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/2007.2431(20)"},{"id":243034,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"issue":"431","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a6454e4b0c8380cd7298c","contributors":{"authors":[{"text":"Ridgway, K.D.","contributorId":62792,"corporation":false,"usgs":true,"family":"Ridgway","given":"K.D.","email":"","affiliations":[],"preferred":false,"id":449715,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thoms, E.E.","contributorId":88969,"corporation":false,"usgs":true,"family":"Thoms","given":"E.E.","email":"","affiliations":[],"preferred":false,"id":449716,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Layer, P.W.","contributorId":42398,"corporation":false,"usgs":true,"family":"Layer","given":"P.W.","email":"","affiliations":[],"preferred":false,"id":449713,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lesh, M.E.","contributorId":53619,"corporation":false,"usgs":true,"family":"Lesh","given":"M.E.","email":"","affiliations":[],"preferred":false,"id":449714,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"White, J. M.","contributorId":40268,"corporation":false,"usgs":true,"family":"White","given":"J.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":449712,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Smith, S. V.","contributorId":89284,"corporation":false,"usgs":true,"family":"Smith","given":"S.","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":449717,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70031432,"text":"70031432 - 2007 - Linking resources with demography to understand resource limitation for bears","interactions":[],"lastModifiedDate":"2012-03-12T17:21:11","indexId":"70031432","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Linking resources with demography to understand resource limitation for bears","docAbstract":"1. Identifying the resources that limit growth of animal populations is essential for effective conservation; however, resource limitation is difficult to quantify. Recent advances in geographical information systems (GIS) and resource modelling can be combined with demographic modelling to yield insights into resource limitation. 2. Using long-term data on a population of black bears Ursus americanus, we evaluated competing hypotheses about whether availability of hard mast (acorns and nuts) or soft mast (fleshy fruits) limited bears in the southern Appalachians, USA, during 1981-2002. The effects of clearcutting on habitat quality were also evaluated. Annual survival, recruitment and population growth rate were estimated using capture-recapture data from 101 females. The availability of hard mast, soft mast and clearcuts was estimated with a GIS, as each changed through time as a result of harvest and succession, and then availabilities were incorporated as covariates for each demographic parameter. 3. The model with the additive availability of hard mast and soft mast across the landscape predicted survival and population growth rate. Availability of young clearcuts predicted recruitment, but not population growth or survival. 4. Availability of hard mast stands across the landscape and availability of soft mast across the landscape were more important than hard mast production and availability of soft mast in young clearcuts, respectively. 5. Synthesis and applications. Our results indicate that older stands, which support high levels of hard mast and moderate levels of soft mast, should be maintained to sustain population growth of bears in the southern Appalachians. Simultaneously, the acreage of intermediate aged stands (10-25 years), which support very low levels of both hard mast and soft mast, should be minimized. The approach used in this study has broad application for wildlife management and conservation. State and federal wildlife agencies often possess long-term data on both resource availability and capture-recapture for wild populations. Combined, these two data types can be used to estimate survival, recruitment, population growth, elasticities of vital rates and the effects of resource availability on demographic parameters. Hence data that are traditionally used to understand population trends can be used to evaluate how and why demography changes over time. ?? 2007 The Authors.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Applied Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1111/j.1365-2664.2007.01317.x","issn":"00218901","usgsCitation":"Reynolds-Hogland, M.J., Pacifici, L., and Mitchell, M., 2007, Linking resources with demography to understand resource limitation for bears: Journal of Applied Ecology, v. 44, no. 6, p. 1166-1175, https://doi.org/10.1111/j.1365-2664.2007.01317.x.","startPage":"1166","endPage":"1175","numberOfPages":"10","costCenters":[],"links":[{"id":477178,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1365-2664.2007.01317.x","text":"Publisher Index Page"},{"id":212204,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1365-2664.2007.01317.x"},{"id":239655,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"44","issue":"6","noUsgsAuthors":false,"publicationDate":"2007-05-09","publicationStatus":"PW","scienceBaseUri":"505a47d9e4b0c8380cd67a16","contributors":{"authors":[{"text":"Reynolds-Hogland, M. J.","contributorId":57647,"corporation":false,"usgs":true,"family":"Reynolds-Hogland","given":"M.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":431470,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pacifici, L.B.","contributorId":93278,"corporation":false,"usgs":true,"family":"Pacifici","given":"L.B.","email":"","affiliations":[],"preferred":false,"id":431471,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mitchell, M.S.","contributorId":26724,"corporation":false,"usgs":true,"family":"Mitchell","given":"M.S.","email":"","affiliations":[],"preferred":false,"id":431469,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70174202,"text":"70174202 - 2007 - Weirs: Counting and sampling adult salmonids in streams and rivers","interactions":[],"lastModifiedDate":"2016-06-29T12:43:14","indexId":"70174202","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Weirs: Counting and sampling adult salmonids in streams and rivers","docAbstract":"<p>Weirs&mdash;which function as porous barriers built across stream&mdash;have long been used to capture migrating fish in flowing waters. For example, the Netsilik peoples of northern Canada used V-shaped weirs constructed of river rocks gathered onsite to capture migrating Arctic char Salvelinus alpinus (Balikci 1970). Similarly, fences constructed of stakes and a latticework of willow branches or staves were used by Native Americans to capture migrating salmon in streams along the West Coast of North America (Stewart 1994). In modern times, weirs have also been used in terminal fisheries and to capture brood fish for use in fish culture. Weirs have been used to gather data on age structure, condition, sex ratio, spawning escapement, abundance, and migratory patterns of fish in streams. One of the critical elements of fisheries management and stock assessment of salmonids is a count of adult fish returning to spawn. Weirs are frequently used to capture or count fish to determine status and trends of populations or direct inseason management of fisheries; generally, weirs are the standard against which other techniques are measured. To evaluate fishery management actions, the number of fish escaping to spawn is often compared to river-specific target spawning requirements (O&rsquo;Connell and Dempson 1995). A critical factor in these analyses is the determination of total run size (O&rsquo;Connell 2003). O&rsquo;Connell compared methods of run-size estimation against absolute counts from a rigid weir and concluded that, given the uncertainty of estimators, the absolute counts obtained at the weir wer significantly better than modeled estimates, which deviated as much as 50&ndash;60% from actual counts. The use of weirs is generally restricted to streams and small rivers because of construction expense, formation of navigation barriers, and the tendency of weirs to clog with debris, which can cause flooding and collapse of the structure (Hubert 1996). When feasible, however, weirs are generally regarded as the most accurate technique available to quantify escapement as the result is supposedly an absolute count (Cousens et al. 1982). Weirs also provide the opportunity to capture fish for observation and sampling of biological characteristics and tissues; they may also serve as recapture sites for basin-wide, mark&ndash;recapture population estimates. Temporary weirs are useful in monitoring wild populations of salmonids as well as for capturing broodstock for artificial propagation.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Salmonid field protocols handbook: techniques for assessing status and trends in salmon and trout populations.","largerWorkSubtype":{"id":14,"text":"Instruction"},"language":"English","publisher":"American Fisheries Society","isbn":"978-1-888569-92-6","usgsCitation":"Zimmerman, C.E., and Zabkar, L.M., 2007, Weirs: Counting and sampling adult salmonids in streams and rivers, chap. <i>of</i> Salmonid field protocols handbook: techniques for assessing status and trends in salmon and trout populations., p. 385-398.","productDescription":"14 p.","startPage":"385","endPage":"398","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":324617,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5774f315e4b07dd077c6aef5","contributors":{"compilers":[{"text":"Johnson, David H.","contributorId":172563,"corporation":false,"usgs":false,"family":"Johnson","given":"David","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":641267,"contributorType":{"id":3,"text":"Compilers"},"rank":1},{"text":"Shrier, Brianna M.","contributorId":172557,"corporation":false,"usgs":false,"family":"Shrier","given":"Brianna","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":641268,"contributorType":{"id":3,"text":"Compilers"},"rank":2},{"text":"O’Neal, Jennifer S.","contributorId":147875,"corporation":false,"usgs":false,"family":"O’Neal","given":"Jennifer","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":641269,"contributorType":{"id":3,"text":"Compilers"},"rank":3},{"text":"Knutzen, John A.","contributorId":172558,"corporation":false,"usgs":false,"family":"Knutzen","given":"John","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":641270,"contributorType":{"id":3,"text":"Compilers"},"rank":4},{"text":"Augerot, Xanthippe","contributorId":172559,"corporation":false,"usgs":false,"family":"Augerot","given":"Xanthippe","email":"","affiliations":[],"preferred":false,"id":641271,"contributorType":{"id":3,"text":"Compilers"},"rank":5},{"text":"O’Neal, Thomas A.","contributorId":172560,"corporation":false,"usgs":false,"family":"O’Neal","given":"Thomas","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":641272,"contributorType":{"id":3,"text":"Compilers"},"rank":6},{"text":"Pearsons, Todd N.","contributorId":95345,"corporation":false,"usgs":true,"family":"Pearsons","given":"Todd N.","affiliations":[],"preferred":false,"id":641273,"contributorType":{"id":3,"text":"Compilers"},"rank":7}],"authors":[{"text":"Zimmerman, Christian E. 0000-0002-3646-0688 czimmerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3646-0688","contributorId":410,"corporation":false,"usgs":true,"family":"Zimmerman","given":"Christian","email":"czimmerman@usgs.gov","middleInitial":"E.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":641265,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zabkar, Laura M.","contributorId":172562,"corporation":false,"usgs":false,"family":"Zabkar","given":"Laura","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":641266,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
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