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,{"id":70037618,"text":"70037618 - 2010 - Ground-motion modeling of Hayward fault scenario earthquakes, part I: Construction of the suite of scenarios","interactions":[],"lastModifiedDate":"2017-11-27T12:59:42","indexId":"70037618","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Ground-motion modeling of Hayward fault scenario earthquakes, part I: Construction of the suite of scenarios","docAbstract":"We construct kinematic earthquake rupture models for a suite of 39 <i>M<sub>w</sub></i> 6.6-7.2 scenario earthquakes involving the Hayward, Calaveras, and Rodgers Creek faults. We use these rupture models in 3D ground-motion simulations as discussed in Part II (Aagaard <i>et al.</i>, 2010) to provide detailed estimates of the shaking for each scenario. We employ both geophysical constraints and empirical relations to provide realistic variation in the rupture dimensions, slip heterogeneity, hypocenters, rupture speeds, and rise times. The five rupture lengths include portions of the Hayward fault as well as combined rupture of the Hayward and Rodgers Creek faults and the Hayward and Calaveras faults. We vary rupture directivity using multiple hypocenters, typically three per rupture length, yielding north-to-south rupture, bilateral rupture, and south-to-north rupture. For each rupture length and hypocenter, we consider multiple random distributions of slip. We use two approaches to account for how aseismic creep might reduce coseismic slip. For one subset of scenarios, we follow the slip-predictable approach and reduce the nominal slip in creeping regions according to the creep rate and time since the most recent earthquake, whereas for another subset of scenarios we apply a vertical gradient to the nominal slip in creeping regions. The rupture models include local variations in rupture speed and use a ray-tracing algorithm to propagate the rupture front. Although we are not attempting to simulate the 1868 Hayward fault earthquake in detail, a few of the scenarios are designed to have source parameters that might be similar to this historical event.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of the Seismological Society of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Seismological Society of America","publisherLocation":"El Cerrito, CA","doi":"10.1785/0120090324","issn":"00371106","usgsCitation":"Aagaard, B.T., Graves, R.W., Schwartz, D.P., Ponce, D.A., and Graymer, R.W., 2010, Ground-motion modeling of Hayward fault scenario earthquakes, part I: Construction of the suite of scenarios: Bulletin of the Seismological Society of America, v. 100, no. 6, p. 2927-2944, https://doi.org/10.1785/0120090324.","productDescription":"17 p.","startPage":"2927","endPage":"2944","numberOfPages":"17","costCenters":[{"id":660,"text":"Western Mineral Resources Science Center","active":false,"usgs":true}],"links":[{"id":245896,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217923,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1785/0120090324"}],"country":"United States","volume":"100","issue":"6","noUsgsAuthors":false,"publicationDate":"2010-12-06","publicationStatus":"PW","scienceBaseUri":"505a2b6ce4b0c8380cd5b978","contributors":{"authors":[{"text":"Aagaard, Brad T. 0000-0002-8795-9833 baagaard@usgs.gov","orcid":"https://orcid.org/0000-0002-8795-9833","contributorId":192869,"corporation":false,"usgs":true,"family":"Aagaard","given":"Brad","email":"baagaard@usgs.gov","middleInitial":"T.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":false,"id":461946,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Graves, Robert W. rwgraves@usgs.gov","contributorId":3149,"corporation":false,"usgs":true,"family":"Graves","given":"Robert","email":"rwgraves@usgs.gov","middleInitial":"W.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":false,"id":461945,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schwartz, David P. 0000-0001-5193-9200 dschwartz@usgs.gov","orcid":"https://orcid.org/0000-0001-5193-9200","contributorId":1940,"corporation":false,"usgs":true,"family":"Schwartz","given":"David","email":"dschwartz@usgs.gov","middleInitial":"P.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":461944,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ponce, David A. 0000-0003-4785-7354 ponce@usgs.gov","orcid":"https://orcid.org/0000-0003-4785-7354","contributorId":1049,"corporation":false,"usgs":true,"family":"Ponce","given":"David","email":"ponce@usgs.gov","middleInitial":"A.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":461942,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Graymer, Russell W. 0000-0003-4910-5682 rgraymer@usgs.gov","orcid":"https://orcid.org/0000-0003-4910-5682","contributorId":1052,"corporation":false,"usgs":true,"family":"Graymer","given":"Russell","email":"rgraymer@usgs.gov","middleInitial":"W.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":461943,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70037714,"text":"70037714 - 2010 - Ecoregions and stream morphology in eastern Oklahoma","interactions":[],"lastModifiedDate":"2012-04-30T16:43:35","indexId":"70037714","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"Ecoregions and stream morphology in eastern Oklahoma","docAbstract":"Broad-scale variables (i.e., geology, topography, climate, land use, vegetation, and soils) influence channel morphology. How and to what extent the longitudinal pattern of channel morphology is influenced by broad-scale variables is important to fluvial geomorphologists and stream ecologists. In the last couple of decades, there has been an increase in the amount of interdisciplinary research between fluvial geomorphologists and stream ecologists. In a historical context, fluvial geomorphologists are more apt to use physiographic regions to distinguish broad-scale variables, while stream ecologists are more apt to use the concept of an ecosystem to address the broad-scale variables that influence stream habitat. For this reason, we designed a study using ecoregions, which uses physical and biological variables to understand how landscapes influence channel processes. Ecoregions are delineated by similarities in geology, climate, soils, land use, and potential natural vegetation. In the fluvial system, stream form and function are dictated by processes observed throughout the fluvial hierarchy. Recognizing that stream form and function should differ by ecoregion, a study was designed to evaluate how the characteristics of stream channels differed longitudinally among three ecoregions in eastern Oklahoma, USA: Boston Mountains, Ozark Highlands, and Ouachita Mountains. Channel morphology of 149 stream reaches was surveyed in 1st- through 4th-order streams, and effects of drainage area and ecoregion on channel morphology was evaluated using multiple regressions. Differences existed (?????0.05) among ecoregions for particle size, bankfull width, and width/depth ratio. No differences existed among ecoregions for gradient or sinuosity. Particle size was smallest in the Ozark Highlands and largest in the Ouachita Mountains. Bankfull width was larger in the Ozark Highlands than in the Boston Mountains and Ouachita Mountains in larger streams. Width/depth ratios of the Boston Mountains and Ozark Highlands were not statistically different. Significant differences existed, however, between the Boston Mountains and Ozark Highlands when compared individually to the Ouachita Mountains. We found that ecoregions afforded a good spatial structure that can help in understanding longitudinal trends in stream reach morphology surveyed at the reach scale. The hierarchy of the fluvial system begins within a broad, relatively homogenous setting that imparts control on processes that affect stream function. Ecoregions provide an adequate regional division to begin a large-scale geomorphic study of processes in stream channels. ?? 2010 Elsevier B.V.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geomorphology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.geomorph.2010.06.004","issn":"0169555X","usgsCitation":"Splinter, D.K., Dauwalter, D., Marston, R.A., and Fisher, W., 2010, Ecoregions and stream morphology in eastern Oklahoma: Geomorphology, v. 122, no. 1-2, p. 117-128, https://doi.org/10.1016/j.geomorph.2010.06.004.","startPage":"117","endPage":"128","numberOfPages":"12","costCenters":[],"links":[{"id":217928,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.geomorph.2010.06.004"},{"id":245901,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"122","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0595e4b0c8380cd50e6a","contributors":{"authors":[{"text":"Splinter, D. K.","contributorId":9083,"corporation":false,"usgs":false,"family":"Splinter","given":"D.","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":462461,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dauwalter, D.C.","contributorId":91687,"corporation":false,"usgs":true,"family":"Dauwalter","given":"D.C.","affiliations":[],"preferred":false,"id":462464,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marston, R. A.","contributorId":52422,"corporation":false,"usgs":false,"family":"Marston","given":"R.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":462462,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fisher, W.L.","contributorId":87713,"corporation":false,"usgs":true,"family":"Fisher","given":"W.L.","email":"","affiliations":[],"preferred":false,"id":462463,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70037616,"text":"70037616 - 2010 - Bottom-up factors influencing riparian willow recovery in Yellowstone National Park","interactions":[],"lastModifiedDate":"2012-03-12T17:22:00","indexId":"70037616","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3746,"text":"Western North American Naturalist","onlineIssn":"1944-8341","printIssn":"1527-0904","active":true,"publicationSubtype":{"id":10}},"title":"Bottom-up factors influencing riparian willow recovery in Yellowstone National Park","docAbstract":"After the elimination of wolves (Canis lupis L.) in the 1920s, woody riparian plant communities on the northern range of Yellowstone National Park (YNP) declined an estimated 50%. After the reintroduction of wolves in 19951996, riparian willows (Salix spp.) on YNP's northern range showed significant growth for the first time since the 1920s. However, the pace of willow recovery has not been uniform. Some communities have exceeded 400 cm, while others are still at pre-1995 levels of <80 cm mean height. We took intensive, repeated measurements of abiotic factors, including soil and water-table characteristics, to determine whether these factors might be contributing to the varying pace of willow recovery. Willows at all of our study sites were \"short\" (<250 cm max. height) prior to 1995 and have recovered to varying degrees since. We contrasted \"tall\" (>250 cm max. height) willow sites where willows had escaped elk (Cervus elaphus L.) browsing with \"short\" willow sites that could still be browsed. Unlike studies that manipulated willow height with fences and artificial dams, we examined sites that had natural growth differences in height since the reintroduction of wolves. Tall willow sites had greater water availability, more-rapid net soil nitrogen mineralization, greater snow depth, lower soil respiration rates, and cooler summer soil temperatures than nearby short willow sites. Most of these differences were measured both in herbaceous areas adjacent to the willow patches and in the willow patches themselves, suggesting that they were not effects of varying willow height recovery but were instead preexisting site differences that may have contributed to increased plant productivity. Our results agree with earlier studies in experimental plots which suggest that the varying pace of willow recovery has been influenced by abiotic limiting factors that interact with top-down reductions in willow browsing by elk. ?? 2010 Western North American Naturalist.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Western North American Naturalist","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.3398/064.070.0311","issn":"15270904","usgsCitation":"Tercek, M., Stottlemyer, R., and Renkin, R., 2010, Bottom-up factors influencing riparian willow recovery in Yellowstone National Park: Western North American Naturalist, v. 70, no. 3, p. 387-399, https://doi.org/10.3398/064.070.0311.","startPage":"387","endPage":"399","numberOfPages":"13","costCenters":[],"links":[{"id":487876,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://scholarsarchive.byu.edu/wnan/vol70/iss3/11","text":"External Repository"},{"id":245880,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217907,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3398/064.070.0311"}],"volume":"70","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f22ee4b0c8380cd4b059","contributors":{"authors":[{"text":"Tercek, M.T.","contributorId":50383,"corporation":false,"usgs":true,"family":"Tercek","given":"M.T.","email":"","affiliations":[],"preferred":false,"id":461935,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stottlemyer, R.","contributorId":44493,"corporation":false,"usgs":true,"family":"Stottlemyer","given":"R.","email":"","affiliations":[],"preferred":false,"id":461933,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Renkin, R.","contributorId":45939,"corporation":false,"usgs":true,"family":"Renkin","given":"R.","affiliations":[],"preferred":false,"id":461934,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70037709,"text":"70037709 - 2010 - Debris flows resulting from glacial-lake outburst floods in tibet, China","interactions":[],"lastModifiedDate":"2012-04-30T16:43:34","indexId":"70037709","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3059,"text":"Physical Geography","active":true,"publicationSubtype":{"id":10}},"title":"Debris flows resulting from glacial-lake outburst floods in tibet, China","docAbstract":"During the last 70 years of general climatic amelioration, 18 glacial-lake outburst floods (GLOFs) and related debris flows have occurred from 15 moraine-dammed lakes in Tibet, China. Catastrophic loss of life and property has occurred because of the following factors: the large volumes of water discharged, the steep gradients of the U-shaped channels, and the amount and texture of the downstream channel bed and bank material. The peak discharge of each GLOF exceeded 1000 m3/s. These flood discharges transformed to non-cohesive debris flows if the channels contained sufficient loose sediment for entrainment (bulking) and if their gradients were >1%. We focus on this key element, transformation, and suggest that it be included in evaluating future GLOF-related risk, the probability of transformation to debris flow and hyperconcentrated flow. The general, sequential evolution of the flows can be described as from proximal GLOFs, to sedimentladen streamflow, to hyperconcentrated flow, to non-cohesive debris flow (viscous or cohesive debris flow only if sufficient fine sediment is present), and then, distally, back to hyperconcentrated flow and sediment-laden streamflow as sediment is progressively deposited. Most of the Tibet examples transformed only to non-cohesive debris flows. The important lesson for future hazard assessment and mitigation planning is that, as a GLOF entrains (bulks) enough sediment to become a debris flow, the flow volume must increase by at least three times (the \"bulking factor\"). In fact, the transforming flow waves overrun and mix with downstream streamflow, in addition to adding the entrained sediment (and thus enabling addition of yet more sediment and a bulking factor in excess of three times). To effectively reduce the risk of GLOF debris flows, reducing the level of a potentially dangerous lake with a siphon or excavated spillway or installing gabions in combination with a downstream debris dam are the primary approaches.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Physical Geography","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.2747/0272-3646.31.6.508","issn":"02723646","usgsCitation":"Cui, P., Dang, C., Cheng, Z., and Scott, K., 2010, Debris flows resulting from glacial-lake outburst floods in tibet, China: Physical Geography, v. 31, no. 6, p. 508-527, https://doi.org/10.2747/0272-3646.31.6.508.","startPage":"508","endPage":"527","numberOfPages":"20","costCenters":[],"links":[{"id":218109,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2747/0272-3646.31.6.508"},{"id":246091,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"6","noUsgsAuthors":false,"publicationDate":"2013-05-15","publicationStatus":"PW","scienceBaseUri":"5059fdf3e4b0c8380cd4ea1e","contributors":{"authors":[{"text":"Cui, P.","contributorId":14649,"corporation":false,"usgs":true,"family":"Cui","given":"P.","email":"","affiliations":[],"preferred":false,"id":462432,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dang, C.","contributorId":57671,"corporation":false,"usgs":true,"family":"Dang","given":"C.","email":"","affiliations":[],"preferred":false,"id":462433,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cheng, Z.","contributorId":74996,"corporation":false,"usgs":true,"family":"Cheng","given":"Z.","email":"","affiliations":[],"preferred":false,"id":462434,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Scott, K.","contributorId":86124,"corporation":false,"usgs":true,"family":"Scott","given":"K.","affiliations":[],"preferred":false,"id":462435,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70037708,"text":"70037708 - 2010 - Comment on \"analysis of pumping test data for determining unconfined-aquifer parameters: Composite analysis or not?\": Paper published in Hydrogeology Journal (2009) 17:1133-1147, by Hund-Der Yeh and Yen-Chen Huang","interactions":[],"lastModifiedDate":"2022-11-22T14:53:45.803849","indexId":"70037708","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Comment on \"analysis of pumping test data for determining unconfined-aquifer parameters: Composite analysis or not?\": Paper published in Hydrogeology Journal (2009) 17:1133-1147, by Hund-Der Yeh and Yen-Chen Huang","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"SpringerLink","doi":"10.1007/s10040-010-0660-7","usgsCitation":"Moench, A.F., 2010, Comment on \"analysis of pumping test data for determining unconfined-aquifer parameters: Composite analysis or not?\": Paper published in Hydrogeology Journal (2009) 17:1133-1147, by Hund-Der Yeh and Yen-Chen Huang: Hydrogeology Journal, v. 18, no. 8, p. 1975-1977, https://doi.org/10.1007/s10040-010-0660-7.","productDescription":"3 p.","startPage":"1975","endPage":"1977","numberOfPages":"3","costCenters":[],"links":[{"id":246090,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","issue":"8","noUsgsAuthors":false,"publicationDate":"2010-11-13","publicationStatus":"PW","scienceBaseUri":"5059f7e9e4b0c8380cd4cd97","contributors":{"authors":[{"text":"Moench, Allen F. afmoench@usgs.gov","contributorId":3903,"corporation":false,"usgs":true,"family":"Moench","given":"Allen","email":"afmoench@usgs.gov","middleInitial":"F.","affiliations":[],"preferred":true,"id":462431,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70037614,"text":"70037614 - 2010 - Moisture and vegetation controls on decadal-scale accrual of soil organic carbon and total nitrogen in restored grasslands","interactions":[],"lastModifiedDate":"2012-03-12T17:22:04","indexId":"70037614","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Moisture and vegetation controls on decadal-scale accrual of soil organic carbon and total nitrogen in restored grasslands","docAbstract":"Revitalization of degraded landscapes may provide sinks for rising atmospheric CO2, especially in reconstructed prairies where substantial belowground productivity is coupled with large soil organic carbon (SOC) deficits after many decades of cultivation. The restoration process also provides opportunities to study the often-elusive factors that regulate soil processes. Although the precise mechanisms that govern the rate of SOC accrual are unclear, factors such as soil moisture or vegetation type may influence the net accrual rate by affecting the balance between organic matter inputs and decomposition. A resampling approach was used to assess the control that soil moisture and plant community type each exert on SOC and total nitrogen (TN) accumulation in restored grasslands. Five plots that varied in drainage were sampled at least four times over two decades to assess SOC, TN, and C4- and C3-derived C. We found that higher long-term soil moisture, characterized by low soil magnetic susceptibility, promoted SOC and TN accrual, with twice the SOC and three times the TN gain in seasonally saturated prairies compared with mesic prairies. Vegetation also influenced SOC and TN recovery, as accrual was faster in the prairies compared with C3-only grassland, and C4-derived C accrual correlated strongly to total SOC accrual but C3-C did not. High SOC accumulation at the surface (0-10 cm) combined with losses at depth (10-20 cm) suggested these soils are recovering the highly stratified profiles typical of remnant prairies. Our results suggest that local hydrology and plant community are critical drivers of SOC and TN recovery in restored grasslands. Because these factors and the way they affect SOC are susceptible to modification by climate change, we contend that predictions of the C-sequestration performance of restored grasslands must account for projected climatic changes on both soil moisture and the seasonal productivity of C4 and C3 plants. ?? 2009 Blackwell Publishing Ltd.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Global Change Biology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1111/j.1365-2486.2009.02114.x","issn":"13541013","usgsCitation":"O’Brien, S.L., Jastrow, J., Grimley, D., and Gonzalez-Meler, M., 2010, Moisture and vegetation controls on decadal-scale accrual of soil organic carbon and total nitrogen in restored grasslands: Global Change Biology, v. 16, no. 9, p. 2573-2588, https://doi.org/10.1111/j.1365-2486.2009.02114.x.","startPage":"2573","endPage":"2588","numberOfPages":"16","costCenters":[],"links":[{"id":218115,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1365-2486.2009.02114.x"},{"id":246097,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","issue":"9","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5ce8e4b0c8380cd70016","contributors":{"authors":[{"text":"O’Brien, S. L.","contributorId":106737,"corporation":false,"usgs":true,"family":"O’Brien","given":"S.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":461926,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jastrow, J.D.","contributorId":89730,"corporation":false,"usgs":true,"family":"Jastrow","given":"J.D.","email":"","affiliations":[],"preferred":false,"id":461924,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grimley, D.A.","contributorId":18530,"corporation":false,"usgs":true,"family":"Grimley","given":"D.A.","email":"","affiliations":[],"preferred":false,"id":461923,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gonzalez-Meler, M. A.","contributorId":93743,"corporation":false,"usgs":true,"family":"Gonzalez-Meler","given":"M. A.","affiliations":[],"preferred":false,"id":461925,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70037706,"text":"70037706 - 2010 - Detrital zircon analysis of Mesoproterozoic and neoproterozoic metasedimentary rocks of northcentral idaho: Implications for development of the Belt-Purcell basin","interactions":[],"lastModifiedDate":"2012-04-30T16:43:33","indexId":"70037706","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1168,"text":"Canadian Journal of Earth Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Detrital zircon analysis of Mesoproterozoic and neoproterozoic metasedimentary rocks of northcentral idaho: Implications for development of the Belt-Purcell basin","docAbstract":"The authors analyzed detrital zircon grains from 10 metasedimentary rock samples of the Priest River complex and three other amphibolite-facies metamorphic sequences in north-central Idaho to test the previous assignment of these rocks to the Mesoproterozoic Belt-Purcell Supergroup. Zircon grains from two samples of the Prichard Formation (lower Belt) and one sample of Cambrian quartzite were also analyzed as controls with known depositional ages. U-Pb zircon analysis by laser ablation - inductively coupled plasma - mass spectrometry reveals that 6 of the 10 samples contain multiple age populations between 1900 and 1400 Ma and a scatter of older ages, similar to results reported from the Belt- Purcell Supergroup to the north and east. Results from the Priest River metamorphic complex confirm previous correlations with the Prichard Formation. Samples from the Golden and Elk City sequences have significant numbers of 1500-1380 Ma grains, which indicates that they do not predate the Belt. Rather, they are probably from a relatively young, southwestern part of the Belt Supergroup (Lemhi subbasin). Non-North American (1610-1490 Ma) grains are rare in these rocks. Three samples of quartzite from the Syringa metamorphic sequence northwest of the Idaho batholith contain zircon grains younger than the Belt Supergroup and support a Neoproterozoic age. A single Cambrian sample has abundant 1780 Ma grains and none younger than ~1750 Ma. These results indicate that the likely protoliths of many high-grade metamorphic rocks in northern Idaho were strata of the Belt-Purcell Supergroup or overlying rocks of the Neoproterozoic Windermere Supergroup and not basement rocks.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Canadian Journal of Earth Sciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1139/E10-049","issn":"00084077","usgsCitation":"Lewis, R.S., Vervoort, J., Burmester, R., and Oswald, P., 2010, Detrital zircon analysis of Mesoproterozoic and neoproterozoic metasedimentary rocks of northcentral idaho: Implications for development of the Belt-Purcell basin: Canadian Journal of Earth Sciences, v. 47, no. 11, p. 1383-1404, https://doi.org/10.1139/E10-049.","startPage":"1383","endPage":"1404","numberOfPages":"22","costCenters":[],"links":[{"id":246077,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218095,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1139/E10-049"}],"volume":"47","issue":"11","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059fffde4b0c8380cd4f503","contributors":{"authors":[{"text":"Lewis, R. S.","contributorId":19951,"corporation":false,"usgs":true,"family":"Lewis","given":"R.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":462410,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vervoort, J.D.","contributorId":98126,"corporation":false,"usgs":true,"family":"Vervoort","given":"J.D.","affiliations":[],"preferred":false,"id":462413,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burmester, R. F.","contributorId":83539,"corporation":false,"usgs":true,"family":"Burmester","given":"R. F.","affiliations":[],"preferred":false,"id":462412,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Oswald, P.J.","contributorId":72269,"corporation":false,"usgs":true,"family":"Oswald","given":"P.J.","email":"","affiliations":[],"preferred":false,"id":462411,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70037703,"text":"70037703 - 2010 - Effect of imperfect detectability on adaptive and conventional sampling: Simulated sampling of freshwater mussels in the upper Mississippi River","interactions":[],"lastModifiedDate":"2013-05-09T10:22:47","indexId":"70037703","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1552,"text":"Environmental Monitoring and Assessment","onlineIssn":"1573-2959","printIssn":"0167-6369","active":true,"publicationSubtype":{"id":10}},"title":"Effect of imperfect detectability on adaptive and conventional sampling: Simulated sampling of freshwater mussels in the upper Mississippi River","docAbstract":"Adaptive sampling designs are recommended where, as is typical with freshwater mussels, the outcome of interest is rare and clustered. However, the performance of adaptive designs has not been investigated when outcomes are not only rare and clustered but also imperfectly detected. We address this combination of challenges using data simulated to mimic properties of freshwater mussels from a reach of the upper Mississippi River. Simulations were conducted under a range of sample sizes and detection probabilities. Under perfect detection, efficiency of the adaptive sampling design increased relative to the conventional design as sample size increased and as density decreased. Also, the probability of sampling occupied habitat was four times higher for adaptive than conventional sampling of the lowest density population examined. However, imperfect detection resulted in substantial biases in sample means and variances under both adaptive sampling and conventional designs. The efficiency of adaptive sampling declined with decreasing detectability. Also, the probability of encountering an occupied unit during adaptive sampling, relative to conventional sampling declined with decreasing detectability. Thus, the potential gains in the application of adaptive sampling to rare and clustered populations relative to conventional sampling are reduced when detection is imperfect. The results highlight the need to increase or estimate detection to improve performance of conventional and adaptive sampling designs.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Monitoring and Assessment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s10661-009-1251-8","issn":"01676369","usgsCitation":"Smith, D., Gray, B., Newton, T., and Nichols, D., 2010, Effect of imperfect detectability on adaptive and conventional sampling: Simulated sampling of freshwater mussels in the upper Mississippi River: Environmental Monitoring and Assessment, v. 170, no. 1-4, p. 499-507, https://doi.org/10.1007/s10661-009-1251-8.","productDescription":"9 p.","startPage":"499","endPage":"507","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":218082,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10661-009-1251-8"},{"id":246063,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mississippi River","volume":"170","issue":"1-4","noUsgsAuthors":false,"publicationDate":"2009-11-28","publicationStatus":"PW","scienceBaseUri":"505a05ece4b0c8380cd5101a","contributors":{"authors":[{"text":"Smith, D. R. 0000-0001-6074-9257","orcid":"https://orcid.org/0000-0001-6074-9257","contributorId":44108,"corporation":false,"usgs":true,"family":"Smith","given":"D. R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":462392,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gray, B. R. 0000-0001-7682-9550","orcid":"https://orcid.org/0000-0001-7682-9550","contributorId":14785,"corporation":false,"usgs":true,"family":"Gray","given":"B. R.","affiliations":[],"preferred":false,"id":462390,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Newton, T.J.","contributorId":104428,"corporation":false,"usgs":true,"family":"Newton","given":"T.J.","email":"","affiliations":[],"preferred":false,"id":462393,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nichols, D.","contributorId":22718,"corporation":false,"usgs":true,"family":"Nichols","given":"D.","affiliations":[],"preferred":false,"id":462391,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70037611,"text":"70037611 - 2010 - The tail of the Storegga Slide: Insights from the geochemistry and sedimentology of the Norwegian Basin deposits","interactions":[],"lastModifiedDate":"2013-06-04T12:22:01","indexId":"70037611","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3369,"text":"Sedimentology","active":true,"publicationSubtype":{"id":10}},"title":"The tail of the Storegga Slide: Insights from the geochemistry and sedimentology of the Norwegian Basin deposits","docAbstract":"Deposits within the floor of the Norwegian Basin were sampled to characterize the deposition from the Storegga Slide, the largest known Holocene-aged continental margin slope failure complex. A 29 to 67 cm thick veneer of variable-coloured, finely layered Holocene sediment caps a homogeneous, extremely well-sorted, poorly consolidated, very fine-grained, grey-coloured sediment section that is >20 m thick on the basin floor. This homogeneous unit is interpreted to represent the uppermost deposits generated by a gravity flow associated with the last major Storegga Slide event. Sediments analogous to the inferred source material of the slide deposits were collected from upslope on the Norwegian Margin. Sediments sampled within the basin are distinguishable from the purported source sediments, suggesting that size sorting has significantly altered this material along its flow path. Moreover, the very fine grain size (3·1 ± 0·3 μm) suggests that the >20 m thick homogeneous unit which was sampled settled from suspension after the turbulent flow was over. Although the turbulent phase of the gravity flow that moved material out into the basin may have been brief (days), significantly more time (years) is required for turbid sediments to settle and dewater and for the new sea floor to be colonized with a normal benthonic fauna. Pore water sulphate concentrations within the uppermost 20 m of the event deposit are higher than those normally found in sea water. Apparently the impact of microbial sulphate reduction over the last ca 8·1 cal ka bp since the re-deposition of these sediments has not been adequate to regenerate a typical sulphate gradient of decreasing concentration with sub-bottom depth. This observation suggests low rates of microbial reactions, which may be attributed to the refractory carbon composition in these re-deposited sediments.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Sedimentology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/j.1365-3091.2010.01150.x","issn":"00370746","usgsCitation":"Paull, C.K., Ussler, W., Holbrook, W., Hill, T., Haflidason, H., Winters, W., Lorenson, T., Aiello, I., Johnson, J., and Lundsten, E., 2010, The tail of the Storegga Slide: Insights from the geochemistry and sedimentology of the Norwegian Basin deposits: Sedimentology, v. 57, no. 6, p. 1409-1429, https://doi.org/10.1111/j.1365-3091.2010.01150.x.","productDescription":"21 p.","startPage":"1409","endPage":"1429","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":680,"text":"Woods Hole Science Center","active":false,"usgs":true}],"links":[{"id":246071,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218090,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1365-3091.2010.01150.x"}],"country":"Norway","otherGeospatial":"Storegga Slide","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -4,0.0016666666666666668 ], [ -4,0.0019444444444444444 ], [ 0,0.0019444444444444444 ], [ 0,0.0016666666666666668 ], [ -4,0.0016666666666666668 ] ] ] } } ] }","volume":"57","issue":"6","noUsgsAuthors":false,"publicationDate":"2010-09-14","publicationStatus":"PW","scienceBaseUri":"505bb0e4e4b08c986b3250f9","contributors":{"authors":[{"text":"Paull, C. K.","contributorId":86845,"corporation":false,"usgs":false,"family":"Paull","given":"C.","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":461908,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ussler, W. III","contributorId":101048,"corporation":false,"usgs":true,"family":"Ussler","given":"W.","suffix":"III","affiliations":[],"preferred":false,"id":461912,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Holbrook, W.S.","contributorId":84916,"corporation":false,"usgs":true,"family":"Holbrook","given":"W.S.","affiliations":[],"preferred":false,"id":461907,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hill, T.M.","contributorId":17436,"corporation":false,"usgs":true,"family":"Hill","given":"T.M.","email":"","affiliations":[],"preferred":false,"id":461905,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Haflidason, H.","contributorId":8684,"corporation":false,"usgs":true,"family":"Haflidason","given":"H.","email":"","affiliations":[],"preferred":false,"id":461904,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Winters, W.","contributorId":106306,"corporation":false,"usgs":true,"family":"Winters","given":"W.","email":"","affiliations":[],"preferred":false,"id":461913,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lorenson, T.","contributorId":88915,"corporation":false,"usgs":true,"family":"Lorenson","given":"T.","email":"","affiliations":[],"preferred":false,"id":461910,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Aiello, I.","contributorId":87789,"corporation":false,"usgs":true,"family":"Aiello","given":"I.","email":"","affiliations":[],"preferred":false,"id":461909,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Johnson, J.E.","contributorId":44857,"corporation":false,"usgs":true,"family":"Johnson","given":"J.E.","email":"","affiliations":[],"preferred":false,"id":461906,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Lundsten, E.","contributorId":89756,"corporation":false,"usgs":true,"family":"Lundsten","given":"E.","email":"","affiliations":[],"preferred":false,"id":461911,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70190512,"text":"70190512 - 2010 - Composition, distribution, and potential toxicity of organochlorine mixtures in bed sediments of streams","interactions":[],"lastModifiedDate":"2017-09-05T13:59:12","indexId":"70190512","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","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":"Composition, distribution, and potential toxicity of organochlorine mixtures in bed sediments of streams","docAbstract":"<p><span>Mixtures of organochlorine compounds have the potential for additive or interactive toxicity to organisms exposed in the stream. This study uses a variety of methods to identify mixtures and a modified concentration-addition approach to estimate their potential toxicity at 845 stream sites across the United States sampled between 1992 and 2001 for organochlorine pesticides and polychlorinated biphenyls (PCBs) in bed sediment. Principal-component (PC) analysis identified five PCs that account for 77% of the total variance in 14 organochlorine compounds in the original dataset. The five PCs represent: (1) chlordane-related compounds and dieldrin; (2)&nbsp;</span><i>p,p′</i><span>-DDT and its degradates; (3)<span>&nbsp;</span></span><i>o,p′</i><span>-DDT and its degradates; (4) the pesticide degradates oxychlordane and heptachlor epoxide; and (5) PCBs. The PC analysis grouped compounds that have similar chemical structure (such as parent compound and degradate), common origin (in the same technical pesticide mixture), and(or) similar relation of concentrations to land use. For example, the highest concentrations of chlordane compounds and dieldrin occurred at urban sites, reflecting past use of parent pesticides for termite control. Two approaches to characterizing mixtures—PC-based mixtures and unique mixtures—were applied to all 299 samples with a detection of two or more organochlorine compounds. PC-based mixtures are defined by the presence (in the sample) of one or more compounds associated with that PC. Unique mixtures are defined as a specific combination of two or more compounds detected in a sample, regardless of how many other compounds were also detected in that sample. The simplest PC-based mixtures (containing compounds from 1 or 2 PCs) commonly occurred in a variety of land use settings. Complex mixtures (containing compounds from 3 or more PCs) were most common in samples from urban and mixed/urban sites, especially in the Northeast, reflecting high concentrations of multiple chlordane, dieldrin, DDT-related compounds, and(or) PCBs. The most commonly occurring unique mixture (</span><i>p,p′</i><span>-DDE,<span>&nbsp;</span></span><i>p,p′</i><span>-DDD) occurred in both simple and complex PC-based mixtures, and at both urban and agricultural sites. Mean Probable Effect Concentration Quotients (PEC-Q) values, which estimate the potential toxicity of organochlorine contaminant mixtures, were highest for complex mixtures. Mean PEC-Q values were highest for urban sites in the Northeast, followed by mixed/urban sites in the Northeast and agricultural sites in cotton growing areas. These results demonstrate that the PEC-Q approach can be used in combination with PC-based and unique mixture analyses to relate potential aquatic toxicity of contaminant mixtures to mixture complexity, land use, and other surrogates for contaminant sources.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2009.09.052","usgsCitation":"Phillips, P., Nowell, L.H., Gilliom, R.J., Nakagaki, N., Riva-Murray, K., and VanAlstyne, C., 2010, Composition, distribution, and potential toxicity of organochlorine mixtures in bed sediments of streams: Science of the Total Environment, v. 408, no. 3, p. 594-606, https://doi.org/10.1016/j.scitotenv.2009.09.052.","productDescription":"13 p.","startPage":"594","endPage":"606","ipdsId":"IP-009456","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":345465,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"408","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59afb7a0e4b0e9bde135114b","contributors":{"authors":[{"text":"Phillips, Patrick J. pjphilli@usgs.gov","contributorId":856,"corporation":false,"usgs":true,"family":"Phillips","given":"Patrick J.","email":"pjphilli@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":false,"id":709537,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nowell, Lisa H. 0000-0001-5417-7264 lhnowell@usgs.gov","orcid":"https://orcid.org/0000-0001-5417-7264","contributorId":490,"corporation":false,"usgs":true,"family":"Nowell","given":"Lisa","email":"lhnowell@usgs.gov","middleInitial":"H.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":709538,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gilliom, Robert J. rgilliom@usgs.gov","contributorId":488,"corporation":false,"usgs":true,"family":"Gilliom","given":"Robert","email":"rgilliom@usgs.gov","middleInitial":"J.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":709539,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nakagaki, Naomi 0000-0003-3653-0540 nakagaki@usgs.gov","orcid":"https://orcid.org/0000-0003-3653-0540","contributorId":1067,"corporation":false,"usgs":true,"family":"Nakagaki","given":"Naomi","email":"nakagaki@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":709540,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Riva-Murray, Karen 0000-0001-6683-2238 krmurray@usgs.gov","orcid":"https://orcid.org/0000-0001-6683-2238","contributorId":168876,"corporation":false,"usgs":true,"family":"Riva-Murray","given":"Karen","email":"krmurray@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":709541,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"VanAlstyne, Carolyn","contributorId":196180,"corporation":false,"usgs":false,"family":"VanAlstyne","given":"Carolyn","email":"","affiliations":[],"preferred":false,"id":709542,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70037641,"text":"70037641 - 2010 - Fine gravel controls hydrologic and erodibility responses to trampling disturbance for coarse-textured soils with weak cyanobacterial crusts","interactions":[],"lastModifiedDate":"2012-03-12T17:22:05","indexId":"70037641","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1198,"text":"Catena","active":true,"publicationSubtype":{"id":10}},"title":"Fine gravel controls hydrologic and erodibility responses to trampling disturbance for coarse-textured soils with weak cyanobacterial crusts","docAbstract":"We compared short-term effects of lug-soled boot trampling disturbance on water infiltration and soil erodibility on coarse-textured soils covered by a mixture of fine gravel and coarse sand over weak cyanobacterially-dominated biological soil crusts. Trampling significantly reduced final infiltration rate and total infiltration and increased sediment generation from small (0.5m2) rainfall simulation plots (p&lt;0.01). Trampling had no effect on time to runoff or time to peak runoff. Trampling had similar effects at sites with both low and very low levels of cyanobacterial biomass, as indicated by chlorophyll a concentrations. We concluded that trampling effects are relatively independent of differences in the relatively low levels of cyanobacterial biomass in this environment. Instead, trampling appears to reduce infiltration by significantly reducing the cover of gravel and coarse sand on the soil surface, facilitating the development of a physical crust during rainfall events. The results of this study underscore the importance of carefully characterizing both soil physical and biological properties to understand how disturbance affects ecosystem processes. ?? 2010.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Catena","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.catena.2010.08.007","issn":"03418162","usgsCitation":"Herrick, J.E., Van Zee, J.W., Belnap, J., Johansen, J., and Remmenga, M., 2010, Fine gravel controls hydrologic and erodibility responses to trampling disturbance for coarse-textured soils with weak cyanobacterial crusts: Catena, v. 83, no. 2-3, p. 119-126, https://doi.org/10.1016/j.catena.2010.08.007.","startPage":"119","endPage":"126","numberOfPages":"8","costCenters":[],"links":[{"id":246072,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218091,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.catena.2010.08.007"}],"volume":"83","issue":"2-3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a101fe4b0c8380cd53b28","contributors":{"authors":[{"text":"Herrick, J. E.","contributorId":84709,"corporation":false,"usgs":true,"family":"Herrick","given":"J.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":462047,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Van Zee, J. W.","contributorId":61012,"corporation":false,"usgs":true,"family":"Van Zee","given":"J.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":462046,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Belnap, J. 0000-0001-7471-2279","orcid":"https://orcid.org/0000-0001-7471-2279","contributorId":23872,"corporation":false,"usgs":true,"family":"Belnap","given":"J.","affiliations":[],"preferred":false,"id":462044,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johansen, J.R.","contributorId":25773,"corporation":false,"usgs":true,"family":"Johansen","given":"J.R.","email":"","affiliations":[],"preferred":false,"id":462045,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Remmenga, M.","contributorId":13846,"corporation":false,"usgs":true,"family":"Remmenga","given":"M.","email":"","affiliations":[],"preferred":false,"id":462043,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70037646,"text":"70037646 - 2010 - Effects of ungulate management on vegetation at Hakalau Forest National Wildlife Refuge, Hawai'i Island","interactions":[],"lastModifiedDate":"2012-03-12T17:22:04","indexId":"70037646","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2984,"text":"Pacific Conservation Biology","active":true,"publicationSubtype":{"id":10}},"title":"Effects of ungulate management on vegetation at Hakalau Forest National Wildlife Refuge, Hawai'i Island","docAbstract":"We compiled and analysed data from 1987-2004 on vegetation monitoring during feral ungulate management at Hakalau Forest National Wildlife Refuge, a tropical montane rainforest on the island of Hawai'i All areas in the study had previously been used by ungulates, but cattle (Bos taurus) were removed and feral pig (Sus scrofa) populations were reduced during the study period. We monitored six line-intercept transects, three in previously high ungulate use areas and three in previously low ungulate use areas. We measured nine cover categories with the line-intercept method: native ferns; native woody plants; bryophytes; lichens; alien grasses; alien herbs; litter; exposed soil; and coarse woody debris. Vegetation surveys were repeated four times over a 16-year period. Vegetation monitoring revealed a strong increase in native fern cover and slight decreases in cover of bryophytes and exposed soil. Mean cover of native plants was generally higher in locations that were formerly lightly grazed, while alien grass and herb cover was generally higher in areas that were heavily grazed, although these effects were not statistically significant. These responses may represent early serai processes in forest regeneration following the reduction of feral ungulate populations. In contrast to many other Hawaiian forests which have become invaded by alien grasses and herbs after ungulate removal, HFNWR has not experienced this effect.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Pacific Conservation Biology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","issn":"10382097","usgsCitation":"Hess, S., Jeffrey, J., Pratt, L., and Ball, D., 2010, Effects of ungulate management on vegetation at Hakalau Forest National Wildlife Refuge, Hawai'i Island: Pacific Conservation Biology, v. 16, no. 2, p. 144-150.","startPage":"144","endPage":"150","numberOfPages":"7","costCenters":[],"links":[{"id":246100,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a081be4b0c8380cd5199a","contributors":{"authors":[{"text":"Hess, S.C. 0000-0001-6403-9922","orcid":"https://orcid.org/0000-0001-6403-9922","contributorId":86081,"corporation":false,"usgs":true,"family":"Hess","given":"S.C.","affiliations":[],"preferred":false,"id":462084,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jeffrey, J.J.","contributorId":46646,"corporation":false,"usgs":true,"family":"Jeffrey","given":"J.J.","email":"","affiliations":[],"preferred":false,"id":462082,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pratt, L.W.","contributorId":68499,"corporation":false,"usgs":true,"family":"Pratt","given":"L.W.","email":"","affiliations":[],"preferred":false,"id":462083,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ball, D.L.","contributorId":31241,"corporation":false,"usgs":true,"family":"Ball","given":"D.L.","email":"","affiliations":[],"preferred":false,"id":462081,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70037610,"text":"70037610 - 2010 - A methodology for ecosystem-scale modeling of selenium","interactions":[],"lastModifiedDate":"2018-10-10T16:52:22","indexId":"70037610","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2006,"text":"Integrated Environmental Assessment and Management","active":true,"publicationSubtype":{"id":10}},"title":"A methodology for ecosystem-scale modeling of selenium","docAbstract":"<p>The main route of exposure for selenium (Se) is dietary, yet regulations lack biologically based protocols for evaluations of risk. We propose here an ecosystem-scale model that conceptualizes and quantifies the variables that determinehow Se is processed from water through diet to predators. This approach uses biogeochemical and physiological factors from laboratory and field studies and considers loading, speciation, transformation to particulate material, bioavailability, bioaccumulation in invertebrates, and trophic transfer to predators. Validation of the model is through data sets from 29 historic and recent field case studies of Se-exposed sites. The model links Se concentrations across media (water, particulate, tissue of different food web species). It can be used to forecast toxicity under different management or regulatory proposals or as a methodology for translating a fish-tissue (or other predator tissue) Se concentration guideline to a dissolved Se concentration. The model illustrates some critical aspects of implementing a tissue criterion: 1) the choice of fish species determines the food web through which Se should be modeled, 2) the choice of food web is critical because the particulate material to prey kinetics of bioaccumulation differs widely among invertebrates, 3) the characterization of the type and phase of particulate material is important to quantifying Se exposure to prey through the base of the food web, and 4) the metric describing partitioning between particulate material and dissolved Se concentrations allows determination of a site-specific dissolved Se concentration that would be responsible for that fish body burden in the specific environment. The linked approach illustrates that environmentally safe dissolved Se concentrations will differ among ecosystems depending on the ecological pathways and biogeochemical conditions in that system. Uncertainties and model sensitivities can be directly illustrated by varying exposure scenarios based on site-specific knowledge. The model can also be used to facilitate site-specific regulation and to present generic comparisons to illustrate limitations imposed by ecosystem setting and inhabitants. Used optimally, the model provides a tool for framing a site-specific ecological problem or occurrence of Se exposure, quantify exposure within that ecosystem, and narrow uncertainties abouthowto protect it by understanding the specifics of the underlying system ecology, biogeochemistry, and hydrology.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Integrated Environmental Assessment and Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Society of Environmental Toxicology and Chemistry","doi":"10.1002/ieam.101","issn":"15513793","usgsCitation":"Presser, T.S., and Luoma, S.N., 2010, A methodology for ecosystem-scale modeling of selenium: Integrated Environmental Assessment and Management, v. 6, no. 4, p. 685-710, https://doi.org/10.1002/ieam.101.","productDescription":"26 p.","startPage":"685","endPage":"710","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":218077,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/ieam.101"},{"id":246058,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"4","noUsgsAuthors":false,"publicationDate":"2010-10-01","publicationStatus":"PW","scienceBaseUri":"5059e460e4b0c8380cd46605","contributors":{"authors":[{"text":"Presser, Theresa S. 0000-0001-5643-0147 tpresser@usgs.gov","orcid":"https://orcid.org/0000-0001-5643-0147","contributorId":2467,"corporation":false,"usgs":true,"family":"Presser","given":"Theresa","email":"tpresser@usgs.gov","middleInitial":"S.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":461903,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Luoma, Samuel N. 0000-0001-5443-5091 snluoma@usgs.gov","orcid":"https://orcid.org/0000-0001-5443-5091","contributorId":2287,"corporation":false,"usgs":true,"family":"Luoma","given":"Samuel","email":"snluoma@usgs.gov","middleInitial":"N.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":461902,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70037609,"text":"70037609 - 2010 - A comparative analysis of double-crested cormorant diets from stomachs and pellets from two Lake Ontario colonies","interactions":[],"lastModifiedDate":"2012-12-25T08:13:49","indexId":"70037609","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2299,"text":"Journal of Freshwater Ecology","active":true,"publicationSubtype":{"id":10}},"title":"A comparative analysis of double-crested cormorant diets from stomachs and pellets from two Lake Ontario colonies","docAbstract":"Double-crested cormorant (<i>Phalacrocorax auritus</i>) diets were compared with evidence from the stomachs of shot birds and from regurgitated pellets at High Bluff Island and Little Galloo Island, Lake Ontario. The highest similarity in diets determined by stomach and pellet analyses occurred when both samples were collected on the same day. Diet overlap dropped substantially between the two methods when collection periods were seven to ten days apart, which suggested differences in prey availability between the two periods. Since the average number of fish recovered in pellets was significantly higher than that in stomachs, use of pellets to determine fish consumption of double-crested cormorants may be more valid than stomach analysis because pellet content represent an integrated sampling of food consumed over approximately 24 hours.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Freshwater Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1080/02705060.2010.9664417","issn":"02705060","usgsCitation":"Johnson, J.H., Ross, R.M., McCullough, R.D., and Mathers, A., 2010, A comparative analysis of double-crested cormorant diets from stomachs and pellets from two Lake Ontario colonies: Journal of Freshwater Ecology, v. 25, no. 4, p. 669-672, https://doi.org/10.1080/02705060.2010.9664417.","productDescription":"4 p.","startPage":"669","endPage":"672","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":475861,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/02705060.2010.9664417","text":"Publisher Index Page"},{"id":246057,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":264762,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/02705060.2010.9664417"}],"otherGeospatial":"High Bluff Island;Little Galloo Island","volume":"25","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e34de4b0c8380cd45f5e","contributors":{"authors":[{"text":"Johnson, James H. 0000-0002-5619-3871 jhjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-5619-3871","contributorId":389,"corporation":false,"usgs":true,"family":"Johnson","given":"James","email":"jhjohnson@usgs.gov","middleInitial":"H.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":461898,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ross, Robert M.","contributorId":62562,"corporation":false,"usgs":true,"family":"Ross","given":"Robert","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":461900,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCullough, Russell D.","contributorId":98154,"corporation":false,"usgs":true,"family":"McCullough","given":"Russell","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":461901,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mathers, Alastair","contributorId":36786,"corporation":false,"usgs":true,"family":"Mathers","given":"Alastair","email":"","affiliations":[],"preferred":false,"id":461899,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70037608,"text":"70037608 - 2010 - Simulation and analysis of conjunctive use with MODFLOW's farm process","interactions":[],"lastModifiedDate":"2018-09-18T10:19:23","indexId":"70037608","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1861,"text":"Ground Water","active":true,"publicationSubtype":{"id":10}},"title":"Simulation and analysis of conjunctive use with MODFLOW's farm process","docAbstract":"The extension of MODFLOW onto the landscape with the Farm Process (MF-FMP) facilitates fully coupled simulation of the use and movement of water from precipitation, streamflow and runoff, groundwater flow, and consumption by natural and agricultural vegetation throughout the hydrologic system at all times. This allows for more complete analysis of conjunctive use water-resource systems than previously possible with MODFLOW by combining relevant aspects of the landscape with the groundwater and surface water components. This analysis is accomplished using distributed cell-by-cell supply-constrained and demand-driven components across the landscape within \" water-balance subregions\" comprised of one or more model cells that can represent a single farm, a group of farms, or other hydrologic or geopolitical entities. Simulation of micro-agriculture in the Pajaro Valley and macro-agriculture in the Central Valley are used to demonstrate the utility of MF-FMP. For Pajaro Valley, the simulation of an aquifer storage and recovery system and related coastal water distribution system to supplant coastal pumpage was analyzed subject to climate variations and additional supplemental sources such as local runoff. For the Central Valley, analysis of conjunctive use from different hydrologic settings of northern and southern subregions shows how and when precipitation, surface water, and groundwater are important to conjunctive use. The examples show that through MF-FMP's ability to simulate natural and anthropogenic components of the hydrologic cycle, the distribution and dynamics of supply and demand can be analyzed, understood, and managed. This analysis of conjunctive use would be difficult without embedding them in the simulation and are difficult to estimate a priori. Journal compilation ?? 2010 National Ground Water Association. No claim to original US government works.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ground Water","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1111/j.1745-6584.2010.00730.x","issn":"0017467X","usgsCitation":"Hanson, R.T., Schmid, W., Faunt, C., and Lockwood, B., 2010, Simulation and analysis of conjunctive use with MODFLOW's farm process: Ground Water, v. 48, no. 5, p. 674-689, https://doi.org/10.1111/j.1745-6584.2010.00730.x.","startPage":"674","endPage":"689","numberOfPages":"16","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":218064,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1745-6584.2010.00730.x"},{"id":246044,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"48","issue":"5","noUsgsAuthors":false,"publicationDate":"2010-06-22","publicationStatus":"PW","scienceBaseUri":"505b8fe4e4b08c986b3191d6","contributors":{"authors":[{"text":"Hanson, R. T.","contributorId":91148,"corporation":false,"usgs":true,"family":"Hanson","given":"R.","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":461895,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schmid, W.","contributorId":103479,"corporation":false,"usgs":true,"family":"Schmid","given":"W.","email":"","affiliations":[],"preferred":false,"id":461897,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Faunt, C.C. 0000-0001-5659-7529","orcid":"https://orcid.org/0000-0001-5659-7529","contributorId":103314,"corporation":false,"usgs":true,"family":"Faunt","given":"C.C.","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":461896,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lockwood, B.","contributorId":59660,"corporation":false,"usgs":true,"family":"Lockwood","given":"B.","email":"","affiliations":[],"preferred":false,"id":461894,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70037606,"text":"70037606 - 2010 - The Medieval Climate Anomaly and Little Ice Age in Chesapeake Bay and the North Atlantic Ocean","interactions":[],"lastModifiedDate":"2012-03-12T17:22:04","indexId":"70037606","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2996,"text":"Palaeogeography, Palaeoclimatology, Palaeoecology","printIssn":"0031-0182","active":true,"publicationSubtype":{"id":10}},"title":"The Medieval Climate Anomaly and Little Ice Age in Chesapeake Bay and the North Atlantic Ocean","docAbstract":"A new 2400-year paleoclimate reconstruction from Chesapeake Bay (CB) (eastern US) was compared to other paleoclimate records in the North Atlantic region to evaluate climate variability during the Medieval Climate Anomaly (MCA) and Little Ice Age (LIA). Using Mg/Ca ratios from ostracodes and oxygen isotopes from benthic foraminifera as proxies for temperature and precipitation-driven estuarine hydrography, results show that warmest temperatures in CB reached 16-17. ??C between 600 and 950. CE (Common Era), centuries before the classic European Medieval Warm Period (950-1100. CE) and peak warming in the Nordic Seas (1000-1400. CE). A series of centennial warm/cool cycles began about 1000. CE with temperature minima of ~. 8 to 9. ??C about 1150, 1350, and 1650-1800. CE, and intervening warm periods (14-15. ??C) centered at 1200, 1400, 1500 and 1600. CE. Precipitation variability in the eastern US included multiple dry intervals from 600 to 1200. CE, which contrasts with wet medieval conditions in the Caribbean. The eastern US experienced a wet LIA between 1650 and 1800. CE when the Caribbean was relatively dry. Comparison of the CB record with other records shows that the MCA and LIA were characterized by regionally asynchronous warming and complex spatial patterns of precipitation, possibly related to ocean-atmosphere processes. ?? 2010.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Palaeogeography, Palaeoclimatology, Palaeoecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.palaeo.2010.08.009","issn":"00310182","usgsCitation":"Cronin, T.M., Hayo, K., Thunell, R., Dwyer, G.S., Saenger, C., and Willard, D., 2010, The Medieval Climate Anomaly and Little Ice Age in Chesapeake Bay and the North Atlantic Ocean: Palaeogeography, Palaeoclimatology, Palaeoecology, v. 297, no. 2, p. 299-310, https://doi.org/10.1016/j.palaeo.2010.08.009.","startPage":"299","endPage":"310","numberOfPages":"12","costCenters":[],"links":[{"id":475795,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/1912/3960","text":"External Repository"},{"id":218049,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.palaeo.2010.08.009"},{"id":246029,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"297","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505ba7dee4b08c986b32185b","contributors":{"authors":[{"text":"Cronin, T. M. 0000-0002-2643-0979","orcid":"https://orcid.org/0000-0002-2643-0979","contributorId":42613,"corporation":false,"usgs":true,"family":"Cronin","given":"T.","email":"","middleInitial":"M.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":false,"id":461886,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hayo, K.","contributorId":24607,"corporation":false,"usgs":true,"family":"Hayo","given":"K.","affiliations":[],"preferred":false,"id":461884,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thunell, R.C.","contributorId":51948,"corporation":false,"usgs":true,"family":"Thunell","given":"R.C.","email":"","affiliations":[],"preferred":false,"id":461887,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dwyer, G. S.","contributorId":39951,"corporation":false,"usgs":true,"family":"Dwyer","given":"G.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":461885,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Saenger, C.","contributorId":19363,"corporation":false,"usgs":true,"family":"Saenger","given":"C.","affiliations":[],"preferred":false,"id":461883,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Willard, Debra  A. 0000-0003-4878-0942","orcid":"https://orcid.org/0000-0003-4878-0942","contributorId":85982,"corporation":false,"usgs":true,"family":"Willard","given":"Debra  A.","affiliations":[],"preferred":false,"id":461888,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70037605,"text":"70037605 - 2010 - Dynamics and spatio-temporal variability of environmental factors in Eastern Australia using functional principal component analysis","interactions":[],"lastModifiedDate":"2012-03-12T17:22:03","indexId":"70037605","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2196,"text":"Journal of Biological Systems","active":true,"publicationSubtype":{"id":10}},"title":"Dynamics and spatio-temporal variability of environmental factors in Eastern Australia using functional principal component analysis","docAbstract":"This paper introduces a new technique in ecology to analyze spatial and temporal variability in environmental variables. By using simple statistics, we explore the relations between abiotic and biotic variables that influence animal distributions. However, spatial and temporal variability in rainfall, a key variable in ecological studies, can cause difficulties to any basic model including time evolution. The study was of a landscape scale (three million square kilometers in eastern Australia), mainly over the period of 19982004. We simultaneously considered qualitative spatial (soil and habitat types) and quantitative temporal (rainfall) variables in a Geographical Information System environment. In addition to some techniques commonly used in ecology, we applied a new method, Functional Principal Component Analysis, which proved to be very suitable for this case, as it explained more than 97% of the total variance of the rainfall data, providing us with substitute variables that are easier to manage and are even able to explain rainfall patterns. The main variable came from a habitat classification that showed strong correlations with rainfall values and soil types. ?? 2010 World Scientific Publishing Company.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Biological Systems","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1142/S0218339010003500","issn":"02183390","usgsCitation":"Szabo, J., Fedriani, E., Segovia-Gonzalez, M.M., Astheimer, L., and Hooper, M., 2010, Dynamics and spatio-temporal variability of environmental factors in Eastern Australia using functional principal component analysis: Journal of Biological Systems, v. 18, no. 4, p. 763-785, https://doi.org/10.1142/S0218339010003500.","startPage":"763","endPage":"785","numberOfPages":"23","costCenters":[],"links":[{"id":502618,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://figshare.com/articles/journal_contribution/Dynamics_and_spatio-temporal_variability_of_environmental_factors_in_Eastern_Australia_using_functional_principal_component_analysis/20926360","text":"External Repository"},{"id":218048,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1142/S0218339010003500"},{"id":246028,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","issue":"4","noUsgsAuthors":false,"publicationDate":"2011-11-21","publicationStatus":"PW","scienceBaseUri":"505a042ce4b0c8380cd50826","contributors":{"authors":[{"text":"Szabo, J.K.","contributorId":38347,"corporation":false,"usgs":true,"family":"Szabo","given":"J.K.","email":"","affiliations":[],"preferred":false,"id":461879,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fedriani, E.M.","contributorId":80126,"corporation":false,"usgs":true,"family":"Fedriani","given":"E.M.","email":"","affiliations":[],"preferred":false,"id":461882,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Segovia-Gonzalez, M. M.","contributorId":74611,"corporation":false,"usgs":true,"family":"Segovia-Gonzalez","given":"M.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":461881,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Astheimer, L.B.","contributorId":12723,"corporation":false,"usgs":true,"family":"Astheimer","given":"L.B.","email":"","affiliations":[],"preferred":false,"id":461878,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hooper, M.J.","contributorId":70581,"corporation":false,"usgs":true,"family":"Hooper","given":"M.J.","email":"","affiliations":[],"preferred":false,"id":461880,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70037604,"text":"70037604 - 2010 - Using noble gases measured in spring discharge to trace hydrothermal processes in the Norris Geyser Basin, Yellowstone National Park, U.S.A.","interactions":[],"lastModifiedDate":"2012-03-12T17:22:06","indexId":"70037604","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Using noble gases measured in spring discharge to trace hydrothermal processes in the Norris Geyser Basin, Yellowstone National Park, U.S.A.","docAbstract":"Dissolved noble gas concentrations in springs are used to investigate boiling of hydrothermal water and mixing of hydrothermal and shallow cool water in the Norris Geyser Basin area. Noble gas concentrations in water are modeled for single stage and continuous steam removal. Limitations on boiling using noble gas concentrations are then used to estimate the isotopic effect of boiling on hydrothermal water, allowing the isotopic composition of the parent hydrothermal water to be determined from that measured in spring. In neutral chloride springs of the Norris Geyser Basin, steam loss since the last addition of noble gas charged water is less than 30% of the total hydrothermal discharge, which results in an isotopic shift due to boiling of ?? 2.5% ??D. Noble gas concentrations in water rapidly and predictably change in dual phase systems, making them invaluable tracers of gas-liquid interaction in hydrothermal systems. By combining traditional tracers of hydrothermal flow such as deuterium with dissolved noble gas measurements, more complex hydrothermal processes can be interpreted. ?? 2010 Elsevier B.V.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Volcanology and Geothermal Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.jvolgeores.2010.09.020","issn":"03770273","usgsCitation":"Gardner, W., Susong, D., Solomon, D.K., and Heasler, H., 2010, Using noble gases measured in spring discharge to trace hydrothermal processes in the Norris Geyser Basin, Yellowstone National Park, U.S.A.: Journal of Volcanology and Geothermal Research, v. 198, no. 3-4, p. 394-404, https://doi.org/10.1016/j.jvolgeores.2010.09.020.","startPage":"394","endPage":"404","numberOfPages":"11","costCenters":[],"links":[{"id":218036,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jvolgeores.2010.09.020"},{"id":246013,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"198","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bc082e4b08c986b32a177","contributors":{"authors":[{"text":"Gardner, W.P.","contributorId":93311,"corporation":false,"usgs":true,"family":"Gardner","given":"W.P.","email":"","affiliations":[],"preferred":false,"id":461876,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Susong, D. D.","contributorId":12868,"corporation":false,"usgs":true,"family":"Susong","given":"D. D.","affiliations":[],"preferred":false,"id":461874,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Solomon, D. K.","contributorId":98324,"corporation":false,"usgs":false,"family":"Solomon","given":"D.","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":461877,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Heasler, H.P.","contributorId":21802,"corporation":false,"usgs":true,"family":"Heasler","given":"H.P.","email":"","affiliations":[],"preferred":false,"id":461875,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70037702,"text":"70037702 - 2010 - Depositional setting, petrology and chemistry of Permian coals from the Paraná  Basin: 2. South Santa Catarina Coalfield, Brazil","interactions":[],"lastModifiedDate":"2019-11-12T14:56:05","indexId":"70037702","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","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":"Depositional setting, petrology and chemistry of Permian coals from the Paraná  Basin: 2. South Santa Catarina Coalfield, Brazil","docAbstract":"<p id=\"sp0175\">In Brazil economically important<span>&nbsp;</span><a title=\"Learn more about Coal Deposits from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/engineering/coal-deposits\" data-mce-href=\"https://www.sciencedirect.com/topics/engineering/coal-deposits\">coal deposits</a><span>&nbsp;occur in the southern part of the Paraná Basin, where&nbsp;<a title=\"Learn more about Coal Seam from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/coal-seam\" data-mce-href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/coal-seam\">coal seams</a>&nbsp;occur in the&nbsp;<a title=\"Learn more about Permian from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/permian\" data-mce-href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/permian\">Permian</a>&nbsp;Rio Bonito Formation, with major coal development in the states of Rio Grande de Sul and Santa Catarina. The current paper presents results on sequence stratigraphic interpretation of the coal-bearing&nbsp;<a title=\"Learn more about Strata from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/strata\" data-mce-href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/strata\">strata</a>, and petrological and geochemical coal seam&nbsp;<a title=\"Learn more about Characterization from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/characterization\" data-mce-href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/characterization\">characterization</a>&nbsp;from the South Santa Catarina Coalfield, Paraná Basin.</span></p><p id=\"sp0180\"><span>In terms of sequence stratigraphic interpretation the precursor&nbsp;<a title=\"Learn more about Mire from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/mire\" data-mce-href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/mire\">mires</a>&nbsp;of the Santa Catarina coal seams formed in an estuarine-barrier shoreface&nbsp;</span><a title=\"Learn more about Depositional Environment from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/depositional-environment\" data-mce-href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/depositional-environment\">depositional environment</a><span>, with major&nbsp;<a title=\"Learn more about Peat from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/peat\" data-mce-href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/peat\">peat</a>&nbsp;accumulation in a high stand systems tract (Pre-Bonito and Bonito seams), a&nbsp;<a title=\"Learn more about Lowstand from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/lowstand\" data-mce-href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/lowstand\">lowstand</a>&nbsp;systems tract (Ponta Alta seam, seam A, seam B) and a transgressive systems tract (Irapuá, Barro Branco and Treviso seams).</span></p><p id=\"sp0185\">Seam thicknesses range from 1.70 to 2.39&nbsp;<span>m, but high proportions of impure coal (coaly&nbsp;<a title=\"Learn more about Shale from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/shale\" data-mce-href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/shale\">shale</a>&nbsp;and shaley coal), carbonaceous shale and partings reduce the net coal thickness significantly. Coal lithoypes are variable, with banded coal predominant in the Barro Branco seam, and banded dull and dull coal predominantly in Bonito and Irapuá seams, respectively. Results from petrographic analyses indicate a&nbsp;<a title=\"Learn more about Vitrinite Reflectance from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/vitrinite-reflectance\" data-mce-href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/vitrinite-reflectance\">vitrinite reflectance</a>&nbsp;range from 0.76 to 1.63 %Rrandom (HVB A to LVB coal).&nbsp;<a title=\"Learn more about Maceral from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/maceral\" data-mce-href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/maceral\">Maceral</a>&nbsp;group distribution varies significantly, with the Barro Branco seam having the highest&nbsp;<a title=\"Learn more about Vitrinite from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/vitrinite\" data-mce-href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/vitrinite\">vitrinite</a>&nbsp;content (mean 67.5 vol%), whereas the Irapuá seam has the highest&nbsp;<a title=\"Learn more about Inertinite from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/engineering/inertinite\" data-mce-href=\"https://www.sciencedirect.com/topics/engineering/inertinite\">inertinite</a>&nbsp;content (33.8</span>&nbsp;<span>vol%).&nbsp;<a title=\"Learn more about Liptinite from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/engineering/liptinite\" data-mce-href=\"https://www.sciencedirect.com/topics/engineering/liptinite\">Liptinite</a>&nbsp;mean values range from 7.8</span>&nbsp;vol% (Barro Branco seam) to 22.5&nbsp;vol% (Irapuá seam).</p><p id=\"sp0190\">Results from proximate analyses indicate for the three seams high ash yields (50.2 – 64.2&nbsp;wt.%). Considering the International Classification of in-Seam Coals, all samples are in fact classified as carbonaceous rocks (&gt;&nbsp;50&nbsp;<span>wt.% ash).&nbsp;<a title=\"Learn more about Sulphur Content from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/engineering/sulphur-content\" data-mce-href=\"https://www.sciencedirect.com/topics/engineering/sulphur-content\">Sulfur contents</a>&nbsp;range from 3.4 to 7.7 wt.%, of which the major part occurs as pyritic sulfur. Results of X-ray diffraction indicate the predominance of&nbsp;<a title=\"Learn more about Quartz from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/quartz\" data-mce-href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/quartz\">quartz</a>&nbsp;and&nbsp;<a title=\"Learn more about Kaolinite from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/kaolinite\" data-mce-href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/kaolinite\">kaolinite</a>&nbsp;(also pyrite).&nbsp;<a title=\"Learn more about Gypsum from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/gypsum\" data-mce-href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/gypsum\">Gypsum</a>,&nbsp;<a title=\"Learn more about Gibbsite from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/gibbsite\" data-mce-href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/gibbsite\">gibbsite</a>,&nbsp;<a title=\"Learn more about Jarosite from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/jarosite\" data-mce-href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/jarosite\">jarosite</a>&nbsp;and&nbsp;<a title=\"Learn more about Calcite from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/calcite\" data-mce-href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/calcite\">calcite</a>&nbsp;were also identified in some samples.&nbsp;<a title=\"Learn more about Feldspar from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/feldspar\" data-mce-href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/feldspar\">Feldspar</a>&nbsp;was noted but is rare. The major element distribution in the three seams (coal basis) is dominated by SiO</span><sub>2</sub><span>&nbsp;</span>(31.3&nbsp;wt.%, mean value), Al<sub>2</sub>O<sub>3</sub><span>&nbsp;</span>(14.5&nbsp;wt.%, mean value) and Fe<sub>2</sub>O<sub>3</sub><span>&nbsp;</span>(6.9 wt.%, mean value). Considering the concentrations of trace elements that are of potential environmental hazards the Barro Branco, Bonito and Irapuá seams (coal base) are significantly enriched in Co (15.7&nbsp;ppm), Cr (54.5&nbsp;ppm), Li (59.3&nbsp;ppm), Mn (150.4&nbsp;ppm), Pb (58.0&nbsp;ppm) and V (99.6&nbsp;ppm), when compared to average trace elements contents reported for U. S. coals.</p><p id=\"sp0195\">Hierarchical cluster analysis identified, based on similarity levels, three groups of major elements and seven groups of trace elements. Applying discriminant analyses using trace and major element distribution, it could be demonstrated that the three seams from Santa Catarina show distinct populations in the discriminant analyses plots, and also differ from the coals of Rio Grande do Sul analyzed in a previous study.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.coal.2010.08.008","issn":"01665162","usgsCitation":"Kalkreuth, W., Holz, M., Mexias, A., Balbinot, M., Levandowski, J., Willett, J., Finkelman, R., and Burger, H., 2010, Depositional setting, petrology and chemistry of Permian coals from the Paraná  Basin: 2. South Santa Catarina Coalfield, Brazil: International Journal of Coal Geology, v. 84, no. 3-4, p. 213-236, https://doi.org/10.1016/j.coal.2010.08.008.","productDescription":"24 p.","startPage":"213","endPage":"236","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":246049,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218069,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.coal.2010.08.008"}],"country":"Brazil","state":"Santa Catarina","otherGeospatial":"Parana Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -49.63623046875,\n              -29.382175075145277\n            ],\n            [\n              -48.62548828125,\n              -28.57487404744697\n            ],\n            [\n              -48.40576171875,\n              -27.955591004642528\n            ],\n            [\n              -48.44970703125,\n              -26.86328062676624\n            ],\n            [\n              -48.40576171875,\n              -26.07652055985696\n            ],\n            [\n              -49.130859375,\n              -25.997549919572098\n            ],\n            [\n              -49.50439453124999,\n              -26.15543796871355\n            ],\n            [\n              -50.009765625,\n              -25.997549919572098\n            ],\n            [\n              -51.15234375,\n              -26.431228064506424\n            ],\n            [\n              -51.30615234375,\n              -26.706359857633526\n            ],\n            [\n              -52.03125,\n              -26.56887654795064\n            ],\n            [\n              -52.91015625,\n              -26.431228064506424\n            ],\n            [\n              -53.63525390625,\n              -26.254009699865737\n            ],\n            [\n              -53.78906249999999,\n              -27.15692045688088\n            ],\n            [\n              -53.19580078125,\n              -27.078691552927534\n            ],\n            [\n              -52.2509765625,\n              -27.137368359795584\n            ],\n            [\n              -51.43798828124999,\n              -27.68352808378776\n            ],\n            [\n              -50.91064453125,\n              -28.052590823339845\n            ],\n            [\n              -50.537109375,\n              -28.22697003891834\n            ],\n            [\n              -50.0537109375,\n              -28.49766083296346\n            ],\n            [\n              -49.81201171875,\n              -28.55557604918596\n            ],\n            [\n              -49.63623046875,\n              -29.382175075145277\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"84","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059fec9e4b0c8380cd4ef1a","contributors":{"authors":[{"text":"Kalkreuth, W.","contributorId":12255,"corporation":false,"usgs":true,"family":"Kalkreuth","given":"W.","email":"","affiliations":[],"preferred":false,"id":462382,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holz, M.","contributorId":71376,"corporation":false,"usgs":true,"family":"Holz","given":"M.","email":"","affiliations":[],"preferred":false,"id":462387,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mexias, A.","contributorId":78530,"corporation":false,"usgs":true,"family":"Mexias","given":"A.","email":"","affiliations":[],"preferred":false,"id":462388,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Balbinot, M.","contributorId":15870,"corporation":false,"usgs":true,"family":"Balbinot","given":"M.","email":"","affiliations":[],"preferred":false,"id":462383,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Levandowski, J.","contributorId":37995,"corporation":false,"usgs":true,"family":"Levandowski","given":"J.","email":"","affiliations":[],"preferred":false,"id":462384,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Willett, J.","contributorId":54010,"corporation":false,"usgs":true,"family":"Willett","given":"J.","email":"","affiliations":[],"preferred":false,"id":462385,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Finkelman, R.","contributorId":56812,"corporation":false,"usgs":true,"family":"Finkelman","given":"R.","affiliations":[],"preferred":false,"id":462386,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Burger, H.","contributorId":86558,"corporation":false,"usgs":true,"family":"Burger","given":"H.","affiliations":[],"preferred":false,"id":462389,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70037699,"text":"70037699 - 2010 - Rejoinder on: A general science-based framework for dynamical spatio-temporal models","interactions":[],"lastModifiedDate":"2012-04-30T16:43:36","indexId":"70037699","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3533,"text":"Test","active":true,"publicationSubtype":{"id":10}},"title":"Rejoinder on: A general science-based framework for dynamical spatio-temporal models","docAbstract":"[No abstract available]","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Test","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s11749-010-0214-2","issn":"11330686","usgsCitation":"Wikle, C.K., and Hooten, M., 2010, Rejoinder on: A general science-based framework for dynamical spatio-temporal models: Test, v. 19, no. 3, p. 466-468, https://doi.org/10.1007/s11749-010-0214-2.","startPage":"466","endPage":"468","numberOfPages":"3","costCenters":[],"links":[{"id":218042,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s11749-010-0214-2"},{"id":246020,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"19","issue":"3","noUsgsAuthors":false,"publicationDate":"2010-11-03","publicationStatus":"PW","scienceBaseUri":"50e4a619e4b0e8fec6cdc0b4","contributors":{"authors":[{"text":"Wikle, C. K.","contributorId":57975,"corporation":false,"usgs":true,"family":"Wikle","given":"C.","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":462376,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hooten, M.B.","contributorId":50261,"corporation":false,"usgs":true,"family":"Hooten","given":"M.B.","email":"","affiliations":[],"preferred":false,"id":462375,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70037698,"text":"70037698 - 2010 - High tsunami frequency as a result of combined strike-slip faulting and coastal landslides","interactions":[],"lastModifiedDate":"2012-04-30T16:43:36","indexId":"70037698","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2845,"text":"Nature Geoscience","active":true,"publicationSubtype":{"id":10}},"title":"High tsunami frequency as a result of combined strike-slip faulting and coastal landslides","docAbstract":"Earthquakes on strike-slip faults can produce devastating natural hazards. However, because they consist predominantly of lateral motion, these faults are rarely associated with significant uplift or tsunami generation. And although submarine slides can generate tsunami, only a few per cent of all tsunami are believed to be triggered in this way. The 12 January Mw 7.0 Haiti earthquake exhibited primarily strike-slip motion but nevertheless generated a tsunami. Here we present data from a comprehensive field survey that covered the onshore and offshore area around the epicentre to document that modest uplift together with slope failure caused tsunamigenesis. Submarine landslides caused the most severe tsunami locally. Our analysis suggests that slide-generated tsunami occur an order-of-magnitude more frequently along the Gonave microplate than global estimates predict. Uplift was generated because of the earthquake?s location, where the Caribbean and Gonave microplates collide obliquely. The earthquake also caused liquefaction at several river deltas that prograde rapidly and are prone to failure. We conclude that coastal strike-slip fault systems such as the Enriquillog-Plantain Garden fault produce relief conducive to rapid sedimentation, erosion and slope failure, so that even modest predominantly strike-slip earthquakes can cause potentially catastrophic slide-generated tsunamig-a risk that is underestimated at present. ?? 2010 Macmillan Publishers Limited. All rights reserved.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Nature Geoscience","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1038/ngeo975","issn":"17520894","usgsCitation":"Hornbach, M., Braudy, N., Briggs, R., Cormier, M., Davis, M., Diebold, J., Dieudonne, N., Douilly, R., Frohlich, C., Gulick, S., Johnson, H.E., Mann, P., McHugh, C., Ryan-Mishkin, K., Prentice, C., Seeber, L., Sorlien, C., Steckler, M., Symithe, S., Taylor, F.W., and Templeton, J., 2010, High tsunami frequency as a result of combined strike-slip faulting and coastal landslides: Nature Geoscience, v. 3, no. 11, p. 783-788, https://doi.org/10.1038/ngeo975.","startPage":"783","endPage":"788","numberOfPages":"6","costCenters":[],"links":[{"id":218041,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1038/ngeo975"},{"id":246019,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"3","issue":"11","noUsgsAuthors":false,"publicationDate":"2010-10-10","publicationStatus":"PW","scienceBaseUri":"505a30d8e4b0c8380cd5d9cf","contributors":{"authors":[{"text":"Hornbach, M.J.","contributorId":94104,"corporation":false,"usgs":true,"family":"Hornbach","given":"M.J.","email":"","affiliations":[],"preferred":false,"id":462371,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Braudy, N.","contributorId":70628,"corporation":false,"usgs":true,"family":"Braudy","given":"N.","affiliations":[],"preferred":false,"id":462365,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Briggs, R.W.","contributorId":97317,"corporation":false,"usgs":true,"family":"Briggs","given":"R.W.","email":"","affiliations":[],"preferred":false,"id":462373,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cormier, M.-H.","contributorId":30856,"corporation":false,"usgs":true,"family":"Cormier","given":"M.-H.","email":"","affiliations":[],"preferred":false,"id":462357,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Davis, M.B.","contributorId":45809,"corporation":false,"usgs":true,"family":"Davis","given":"M.B.","email":"","affiliations":[],"preferred":false,"id":462360,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Diebold, J.B.","contributorId":74994,"corporation":false,"usgs":true,"family":"Diebold","given":"J.B.","affiliations":[],"preferred":false,"id":462366,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dieudonne, N.","contributorId":78180,"corporation":false,"usgs":true,"family":"Dieudonne","given":"N.","affiliations":[],"preferred":false,"id":462368,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Douilly, R.","contributorId":92093,"corporation":false,"usgs":true,"family":"Douilly","given":"R.","affiliations":[],"preferred":false,"id":462369,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Frohlich, C.","contributorId":30400,"corporation":false,"usgs":true,"family":"Frohlich","given":"C.","email":"","affiliations":[],"preferred":false,"id":462356,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Gulick, S.P.S.","contributorId":75791,"corporation":false,"usgs":true,"family":"Gulick","given":"S.P.S.","email":"","affiliations":[],"preferred":false,"id":462367,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Johnson, H. E. III","contributorId":33561,"corporation":false,"usgs":true,"family":"Johnson","given":"H.","suffix":"III","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":462358,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Mann, P.","contributorId":55167,"corporation":false,"usgs":true,"family":"Mann","given":"P.","email":"","affiliations":[],"preferred":false,"id":462361,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"McHugh, C.","contributorId":107540,"corporation":false,"usgs":true,"family":"McHugh","given":"C.","email":"","affiliations":[],"preferred":false,"id":462374,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Ryan-Mishkin, K.","contributorId":55246,"corporation":false,"usgs":true,"family":"Ryan-Mishkin","given":"K.","affiliations":[],"preferred":false,"id":462362,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Prentice, C.S.","contributorId":56667,"corporation":false,"usgs":true,"family":"Prentice","given":"C.S.","email":"","affiliations":[],"preferred":false,"id":462363,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Seeber, L.","contributorId":37329,"corporation":false,"usgs":true,"family":"Seeber","given":"L.","email":"","affiliations":[],"preferred":false,"id":462359,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Sorlien, C.C.","contributorId":94089,"corporation":false,"usgs":true,"family":"Sorlien","given":"C.C.","email":"","affiliations":[],"preferred":false,"id":462370,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Steckler, M.S.","contributorId":26169,"corporation":false,"usgs":true,"family":"Steckler","given":"M.S.","email":"","affiliations":[],"preferred":false,"id":462354,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Symithe, S.J.","contributorId":94141,"corporation":false,"usgs":true,"family":"Symithe","given":"S.J.","affiliations":[],"preferred":false,"id":462372,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Taylor, F. W.","contributorId":57598,"corporation":false,"usgs":false,"family":"Taylor","given":"F.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":462364,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Templeton, J.","contributorId":27298,"corporation":false,"usgs":true,"family":"Templeton","given":"J.","email":"","affiliations":[],"preferred":false,"id":462355,"contributorType":{"id":1,"text":"Authors"},"rank":21}]}}
,{"id":70037647,"text":"70037647 - 2010 - Geoinformatics: Transforming data to knowledge for geosciences","interactions":[],"lastModifiedDate":"2012-04-30T16:43:33","indexId":"70037647","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1728,"text":"GSA Today","active":true,"publicationSubtype":{"id":10}},"title":"Geoinformatics: Transforming data to knowledge for geosciences","docAbstract":"An integrative view of Earth as a system, based on multidisciplinary data, has become one of the most compelling reasons for research and education in the geosciences. It is now necessary to establish a modern infrastructure that can support the transformation of data to knowledge. Such an information infrastructure for geosciences is contained within the emerging science of geoinformatics, which seeks to promote the utilizetion and integration of complex, multidisciplinary data in seeking solutions to geosciencebased societal challenges.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"GSA Today","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1130/GSATG85A.1","issn":"10525173","usgsCitation":"Sinha, A., Malik, Z., Rezgui, A., Barnes, C., Lin, K., Heiken, G., Thomas, W., Gundersen, L., Raskin, R., Jackson, I., Fox, P., McGuinness, D., Seber, D., and Zimmerman, H., 2010, Geoinformatics: Transforming data to knowledge for geosciences: GSA Today, v. 20, no. 12, p. 4-10, https://doi.org/10.1130/GSATG85A.1.","startPage":"4","endPage":"10","numberOfPages":"7","costCenters":[],"links":[{"id":245882,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217909,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/GSATG85A.1"}],"volume":"20","issue":"12","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a185ae4b0c8380cd55722","contributors":{"authors":[{"text":"Sinha, A.K.","contributorId":61563,"corporation":false,"usgs":true,"family":"Sinha","given":"A.K.","email":"","affiliations":[],"preferred":false,"id":462093,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Malik, Z.","contributorId":42816,"corporation":false,"usgs":true,"family":"Malik","given":"Z.","email":"","affiliations":[],"preferred":false,"id":462090,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rezgui, A.","contributorId":51135,"corporation":false,"usgs":true,"family":"Rezgui","given":"A.","email":"","affiliations":[],"preferred":false,"id":462091,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barnes, C. G.","contributorId":78819,"corporation":false,"usgs":false,"family":"Barnes","given":"C. 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,{"id":70037648,"text":"70037648 - 2010 - Meteoric <sup>10</sup>Be in soil profiles - A global meta-analysis","interactions":[],"lastModifiedDate":"2013-03-18T09:19:58","indexId":"70037648","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"title":"Meteoric <sup>10</sup>Be in soil profiles - A global meta-analysis","docAbstract":"In order to assess current understanding of meteoric <sup>10</sup>Be dynamics and distribution in terrestrial soils, we assembled a database of all published meteoric <sup>10</sup>Be soil depth profiles, including 104 profiles from 27 studies in globally diverse locations, collectively containing 679 individual measurements. This allows for the systematic comparison of meteoric <sup>10</sup>Be concentration to other soil characteristics and the comparison of profile depth distributions between geologic settings. Percent clay, <sup>9</sup>Be, and dithionite-citrate extracted Al positively correlate to meteoric <sup>10</sup>Be in more than half of the soils where they were measured, but the lack of significant correlation in other soils suggests that no one soil factor controls meteoric <sup>10</sup>Be distribution with depth. Dithionite-citrate extracted Fe and cation exchange capacity are only weakly correlated to meteoric <sup>10</sup>Be. Percent organic carbon and pH are not significantly related to meteoric <sup>10</sup>Be concentration when all data are complied.The compilation shows that meteoric <sup>10</sup>Be concentration is seldom uniform with depth in a soil profile. In young or rapidly eroding soils, maximum meteoric <sup>10</sup>Be concentrations are typically found in the uppermost 20 cm. In older, more slowly eroding soils, the highest meteoric <sup>10</sup>Be concentrations are found at depth, usually between 50 and 200 cm. We find that the highest measured meteoric <sup>10</sup>Be concentration in a soil profile is an important metric, as both the value and the depth of the maximum meteoric 10Be concentration correlate with the total measured meteoric <sup>10</sup>Be inventory of the soil profile.In order to refine the use of meteoric <sup>10</sup>Be as an estimator of soil erosion rate, we compare near-surface meteoric <sup>10</sup>Be concentrations to total meteoric 10Be soil inventories. These trends are used to calibrate models of meteoric <sup>10</sup>Be loss by soil erosion. Erosion rates calculated using this method vary based on the assumed depth and timing of erosional events and on the reference data selected.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geochimica et Cosmochimica Acta","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.gca.2010.08.036","issn":"00167037","usgsCitation":"Graly, J.A., Bierman, P.R., Reusser, L.J., and Pavich, M.J., 2010, Meteoric <sup>10</sup>Be in soil profiles - A global meta-analysis: Geochimica et Cosmochimica Acta, v. 74, no. 23, p. 6814-6829, https://doi.org/10.1016/j.gca.2010.08.036.","productDescription":"16 p.","startPage":"6814","endPage":"6829","numberOfPages":"16","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":245883,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217910,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.gca.2010.08.036"}],"volume":"74","issue":"23","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a550ee4b0c8380cd6d0f7","contributors":{"authors":[{"text":"Graly, Joseph A.","contributorId":101155,"corporation":false,"usgs":true,"family":"Graly","given":"Joseph","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":462102,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bierman, Paul R. 0000-0001-9627-4601","orcid":"https://orcid.org/0000-0001-9627-4601","contributorId":19041,"corporation":false,"usgs":true,"family":"Bierman","given":"Paul","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":462100,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reusser, Lucas J.","contributorId":92549,"corporation":false,"usgs":true,"family":"Reusser","given":"Lucas","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":462101,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pavich, Milan J. mpavich@usgs.gov","contributorId":2348,"corporation":false,"usgs":true,"family":"Pavich","given":"Milan","email":"mpavich@usgs.gov","middleInitial":"J.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":462099,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70156820,"text":"70156820 - 2010 - Large-scale laboratory testing of bedload-monitoring technologies: Overview of the StreamLab06 Experiments","interactions":[],"lastModifiedDate":"2021-10-27T16:42:15.924177","indexId":"70156820","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Large-scale laboratory testing of bedload-monitoring technologies: Overview of the StreamLab06 Experiments","docAbstract":"<p><span>A 3-month-long, large-scale flume experiment involving research and testing of selected conventional and surrogate bedload-monitoring technologies was conducted in the Main Channel at the St. Anthony Falls Laboratory under the auspices of the National Center for Earth-surface Dynamics. These experiments, dubbed StreamLab06, involved 25 researchers and volunteers from academia, government, and the private sector. The research channel was equipped with a sediment-recirculation system and a sediment-flux monitoring system that allowed continuous measurement of sediment flux in the flume and provided a data set by which samplers were evaluated. Selected bedload-measurement technologies were tested under a range of flow and sediment-transport conditions. The experiment was conducted in two phases. The bed material in phase I was well-sorted siliceous sand (0.6-1.8 mm median diameter). A gravel mixture (1-32 mm median diameter) composed the bed material in phase II. Four conventional bedload samplers &ndash; a standard Helley-Smith, Elwha, BLH-84, and Toutle River II (TR-2) sampler &ndash; were manually deployed as part of both experiment phases. Bedload traps were deployed in study Phase II. Two surrogate bedload samplers &ndash; stationarymounted down-looking 600 kHz and 1200 kHz acoustic Doppler current profilers &ndash; were deployed in experiment phase II. This paper presents an overview of the experiment including the specific data-collection technologies used and the ambient hydraulic, sediment-transport and environmental conditions measured as part of the experiment. All data collected as part of the StreamLab06 experiments are, or will be available to the research community.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Bedload-surrogate monitoring technologies","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"U.S. Geological Survey","usgsCitation":"Marr, J.D., Gray, J.R., Davis, B.E., Ellis, C., and Johnson, S., 2010, Large-scale laboratory testing of bedload-monitoring technologies: Overview of the StreamLab06 Experiments, chap. <i>of</i> Bedload-surrogate monitoring technologies, p. 266-282.","productDescription":"17 p.","startPage":"266","endPage":"282","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-004286","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":307692,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":307691,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2010/5091/papers/Marr.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57fe82cce4b0824b2d1487a5","contributors":{"editors":[{"text":"Gray, John R. 0000-0002-8817-3701 jrgray@usgs.gov","orcid":"https://orcid.org/0000-0002-8817-3701","contributorId":1158,"corporation":false,"usgs":true,"family":"Gray","given":"John","email":"jrgray@usgs.gov","middleInitial":"R.","affiliations":[{"id":5058,"text":"Office of the Chief Scientist for Water","active":true,"usgs":true}],"preferred":true,"id":570689,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Laronne, Jonathan B.","contributorId":8778,"corporation":false,"usgs":true,"family":"Laronne","given":"Jonathan","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":570690,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Marr, Jeffrey D. 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