New Circum-Arctic maps of magnetic and gravity anomalies have been produced by merging regional gridded data. Satellite magnetic and gravity data were used for quality control of the long wavelengths of the new compilations. The new Circum-Arctic digital compilations of magnetic, gravity and some of their derivatives have been analyzed together with other freely available regional and global data and models in order to provide a consistent view of the tectonically complex Arctic basins and surrounding continents. Sharp, linear contrasts between deeply buried basement blocks with different magnetic properties and densities that can be identified on these maps can be used, together with other geological and geophysical information, to refine the tectonic boundaries of the Arctic domain.
","language":"English","publisher":"Geological Society of London","doi":"10.1144/M35.3","issn":"04354052","usgsCitation":"Gaina, C., Werner, S., Saltus, R., Maus, S., Aaro, S., Damaske, D., Forsberg, R., Glebovsky, V., Johnson, K.K., Jonberger, J., Koren, T., Korhonen, J., Litvinova, T., Oakey, G., Olesen, O., Petrov, O., Pilkington, M., Rasmussen, T., Schreckenberger, B., and Smelror, M., 2011, Circum-Arctic mapping project: New magnetic and gravity anomaly maps of the Arctic: Geological Society Memoir, no. 35, p. 39-48, https://doi.org/10.1144/M35.3.","productDescription":"10 p.","startPage":"39","endPage":"48","costCenters":[],"links":[{"id":246272,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218275,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1144/M35.3"}],"issue":"35","noUsgsAuthors":false,"publicationDate":"2011-08-05","publicationStatus":"PW","scienceBaseUri":"5059f46ae4b0c8380cd4bd09","contributors":{"authors":[{"text":"Gaina, C.","contributorId":71389,"corporation":false,"usgs":true,"family":"Gaina","given":"C.","email":"","affiliations":[],"preferred":false,"id":454778,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Werner, S.C.","contributorId":22170,"corporation":false,"usgs":true,"family":"Werner","given":"S.C.","email":"","affiliations":[],"preferred":false,"id":454770,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Saltus, R.","contributorId":107040,"corporation":false,"usgs":true,"family":"Saltus","given":"R.","email":"","affiliations":[],"preferred":false,"id":454786,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Maus, S.","contributorId":104315,"corporation":false,"usgs":true,"family":"Maus","given":"S.","email":"","affiliations":[],"preferred":false,"id":454784,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Aaro, S.","contributorId":107544,"corporation":false,"usgs":true,"family":"Aaro","given":"S.","email":"","affiliations":[],"preferred":false,"id":454787,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Damaske, D.","contributorId":66771,"corporation":false,"usgs":true,"family":"Damaske","given":"D.","affiliations":[],"preferred":false,"id":454776,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Forsberg, R.","contributorId":16213,"corporation":false,"usgs":true,"family":"Forsberg","given":"R.","email":"","affiliations":[],"preferred":false,"id":454769,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Glebovsky, V.","contributorId":34759,"corporation":false,"usgs":true,"family":"Glebovsky","given":"V.","email":"","affiliations":[],"preferred":false,"id":454772,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Johnson, Kevin K. 0000-0003-2703-5994 johnsonk@usgs.gov","orcid":"https://orcid.org/0000-0003-2703-5994","contributorId":4220,"corporation":false,"usgs":true,"family":"Johnson","given":"Kevin","email":"johnsonk@usgs.gov","middleInitial":"K.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":454781,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Jonberger, J.","contributorId":52016,"corporation":false,"usgs":true,"family":"Jonberger","given":"J.","email":"","affiliations":[],"preferred":false,"id":454775,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Koren, T.","contributorId":43608,"corporation":false,"usgs":true,"family":"Koren","given":"T.","email":"","affiliations":[],"preferred":false,"id":454773,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Korhonen, J.","contributorId":103913,"corporation":false,"usgs":true,"family":"Korhonen","given":"J.","affiliations":[],"preferred":false,"id":454783,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Litvinova, T.","contributorId":73045,"corporation":false,"usgs":true,"family":"Litvinova","given":"T.","email":"","affiliations":[],"preferred":false,"id":454779,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Oakey, G.","contributorId":68574,"corporation":false,"usgs":true,"family":"Oakey","given":"G.","email":"","affiliations":[],"preferred":false,"id":454777,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Olesen, O.","contributorId":84194,"corporation":false,"usgs":true,"family":"Olesen","given":"O.","email":"","affiliations":[],"preferred":false,"id":454782,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Petrov, O.","contributorId":32386,"corporation":false,"usgs":true,"family":"Petrov","given":"O.","email":"","affiliations":[],"preferred":false,"id":454771,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Pilkington, M.","contributorId":105476,"corporation":false,"usgs":true,"family":"Pilkington","given":"M.","email":"","affiliations":[],"preferred":false,"id":454785,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Rasmussen, T.","contributorId":50389,"corporation":false,"usgs":true,"family":"Rasmussen","given":"T.","email":"","affiliations":[],"preferred":false,"id":454774,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Schreckenberger, B.","contributorId":15867,"corporation":false,"usgs":true,"family":"Schreckenberger","given":"B.","email":"","affiliations":[],"preferred":false,"id":454768,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Smelror, M.","contributorId":80523,"corporation":false,"usgs":true,"family":"Smelror","given":"M.","email":"","affiliations":[],"preferred":false,"id":454780,"contributorType":{"id":1,"text":"Authors"},"rank":20}]}} ,{"id":70034453,"text":"70034453 - 2011 - High-frequency Born synthetic seismograms based on coupled normal modes","interactions":[],"lastModifiedDate":"2021-04-20T16:06:14.405714","indexId":"70034453","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1803,"text":"Geophysical Journal International","active":true,"publicationSubtype":{"id":10}},"title":"High-frequency Born synthetic seismograms based on coupled normal modes","docAbstract":"High-frequency and full waveform synthetic seismograms on a 3-D laterally heterogeneous earth model are simulated using the theory of coupled normal modes. The set of coupled integral equations that describe the 3-D response are simplified into a set of uncoupled integral equations by using the Born approximation to calculate scattered wavefields and the pure-path approximation to modulate the phase of incident and scattered wavefields. This depends upon a decomposition of the aspherical structure into smooth and rough components. The uncoupled integral equations are discretized and solved in the frequency domain, and time domain results are obtained by inverse Fourier transform. Examples show the utility of the normal mode approach to synthesize the seismic wavefields resulting from interaction with a combination of rough and smooth structural heterogeneities. This approach is applied to an ~4 Hz shallow crustal wave propagation around the site of the San Andreas Fault Observatory at Depth (SAFOD).
","language":"English","publisher":"Oxford Academic","doi":"10.1111/j.1365-246X.2011.05188.x","issn":"0956540X","usgsCitation":"Pollitz, F., 2011, High-frequency Born synthetic seismograms based on coupled normal modes: Geophysical Journal International, v. 187, no. 3, p. 1420-1442, https://doi.org/10.1111/j.1365-246X.2011.05188.x.","productDescription":"23 p.","startPage":"1420","endPage":"1442","costCenters":[],"links":[{"id":487189,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1365-246x.2011.05188.x","text":"Publisher Index Page"},{"id":244792,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216894,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1365-246X.2011.05188.x"}],"volume":"187","issue":"3","noUsgsAuthors":false,"publicationDate":"2011-10-05","publicationStatus":"PW","scienceBaseUri":"505a30e8e4b0c8380cd5da57","contributors":{"authors":[{"text":"Pollitz, F.","contributorId":66449,"corporation":false,"usgs":true,"family":"Pollitz","given":"F.","affiliations":[],"preferred":false,"id":445867,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70036197,"text":"70036197 - 2011 - Geology and petroleum potential of the rifted margins of the Canada Basin","interactions":[],"lastModifiedDate":"2021-01-25T20:34:56.68697","indexId":"70036197","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1784,"text":"Geological Society Memoir","active":true,"publicationSubtype":{"id":10}},"chapter":"34","title":"Geology and petroleum potential of the rifted margins of the Canada Basin","docAbstract":"Three sides of the Canada Basin are bordered by high-standing, conjugate rift shoulders of the Chukchi Borderland, Alaska and Canada. The Alaska and Canada margins are mantled with thick, growth-faulted sediment prisms, and the Chukchi Borderland contains only a thin veneer of sediment. The rift-margin strata of Alaska and Canada reflect the tectonics and sediment dispersal systems of adjacent continental regions whereas the Chukchi Borderland was tectonically isolated from these sediment dispersal systems. Along the eastern Alaska–southern Canada margin, termed herein the ‘Canning–Mackenzie deformed margin’, the rifted margin is deformed by ongoing Brooks Range tectonism. Additional contractional structures occur in a gravity fold belt that may be present along the entire Alaska and Canada margins of the Canada Basin. Source-rock data inboard of the rift shoulders and regional palaeogeographic reconstructions suggest three potential source-rock intervals: Lower Cretaceous (Hauterivian–Albian), Upper Cretaceous (mostly Turonian) and Lower Palaeogene. Burial history modelling indicates favourable timing for generation from all three intervals beneath the Alaska and Canada passive margins, and an active petroleum system has been documented in the Canning–Mackenzie deformed margin. Assessment of undiscovered petroleum resources indicates the greatest potential in the Canning–Mackenzie deformed margin and significant potential in the Canada and Alaska passive margins.
","language":"English","publisher":"Geological Society of London","doi":"10.1144/M35.34","issn":"04354052","usgsCitation":"Houseknecht, D., and Bird, K.J., 2011, Geology and petroleum potential of the rifted margins of the Canada Basin: Geological Society Memoir, no. 35, p. 509-526, https://doi.org/10.1144/M35.34.","productDescription":"18 p.","startPage":"509","endPage":"526","ipdsId":"IP-013993","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":246273,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218276,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1144/M35.34"}],"country":"Canada","otherGeospatial":"Canada Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -153.6328125,\n 73.72659470212253\n ],\n [\n -154.68749999999997,\n 69.28725695167886\n ],\n [\n -127.265625,\n 68.26938680456564\n ],\n [\n -108.6328125,\n 69.77895177646761\n ],\n [\n -106.875,\n 73.92246884621463\n ],\n [\n -79.1015625,\n 81.09321385260837\n ],\n [\n -75.9375,\n 83.4803661137381\n ],\n [\n -133.9453125,\n 83.599030708362\n ],\n [\n -170.15625,\n 79.87429692631282\n ],\n [\n -169.1015625,\n 74.1160468394894\n ],\n [\n -152.2265625,\n 74.01954331150228\n ],\n [\n -153.6328125,\n 73.72659470212253\n ]\n ]\n ]\n }\n }\n ]\n}","issue":"35","noUsgsAuthors":false,"publicationDate":"2011-08-05","publicationStatus":"PW","scienceBaseUri":"5059f46ae4b0c8380cd4bd06","contributors":{"authors":[{"text":"Houseknecht, D.W. 0000-0002-9633-6910","orcid":"https://orcid.org/0000-0002-9633-6910","contributorId":33695,"corporation":false,"usgs":true,"family":"Houseknecht","given":"D.W.","affiliations":[],"preferred":false,"id":454788,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bird, Kenneth J. kbird@usgs.gov","contributorId":1015,"corporation":false,"usgs":true,"family":"Bird","given":"Kenneth","email":"kbird@usgs.gov","middleInitial":"J.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":454789,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70034615,"text":"70034615 - 2011 - East Antarctic rifting triggers uplift of the Gamburtsev Mountains","interactions":[],"lastModifiedDate":"2019-07-10T14:00:32","indexId":"70034615","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2840,"text":"Nature","active":true,"publicationSubtype":{"id":10}},"title":"East Antarctic rifting triggers uplift of the Gamburtsev Mountains","docAbstract":"The Gamburtsev Subglacial Mountains are the least understood tectonic feature on Earth, because they are completely hidden beneath the East Antarctic Ice Sheet. Their high elevation and youthful Alpine topography, combined with their location on the East Antarctic craton, creates a paradox that has puzzled researchers since the mountains were discovered in 1958. The preservation of Alpine topography in the Gamburtsevs may reflect extremely low long-term erosion rates beneath the ice sheet, but the mountains’ origin remains problematic. Here we present the first comprehensive view of the crustal architecture and uplift mechanisms for the Gamburtsevs, derived from radar, gravity and magnetic data. The geophysical data define a 2,500-km-long rift system in East Antarctica surrounding the Gamburtsevs, and a thick crustal root beneath the range. We propose that the root formed during the Proterozoic assembly of interior East Antarctica (possibly about 1 Gyr ago), was preserved as in some old orogens and was rejuvenated during much later Permian (roughly 250 Myr ago) and Cretaceous (roughly 100 Myr ago) rifting. Much like East Africa, the interior of East Antarctica is a mosaic of Precambrian provinces affected by rifting processes. Our models show that the combination of rift-flank uplift, root buoyancy and the isostatic response to fluvial and glacial erosion explains the high elevation and relief of the Gamburtsevs. The evolution of the Gamburtsevs demonstrates that rifting and preserved orogenic roots can produce broad regions of high topography in continental interiors without significantly modifying the underlying Precambrian lithosphere.","language":"English","publisher":"Nature Publishing Group","doi":"10.1038/nature10566","issn":"00280836","usgsCitation":"Ferraccioli, F., Finn, C.A., Jordan, T.A., Bell, R.E., Anderson, L.M., and Damaske, D., 2011, East Antarctic rifting triggers uplift of the Gamburtsev Mountains: Nature, v. 479, no. 7373, p. 388-392, https://doi.org/10.1038/nature10566.","productDescription":"5 p.","startPage":"388","endPage":"392","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":422,"text":"National Geomagnetism Program","active":false,"usgs":true}],"links":[{"id":243757,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215921,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1038/nature10566"}],"otherGeospatial":"Gamburtsev Mountain Range","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 74.7,-83.1 ], [ 74.7,-77.7 ], [ 80.1,-77.7 ], [ 80.1,-83.1 ], [ 74.7,-83.1 ] ] ] } } ] }","volume":"479","issue":"7373","noUsgsAuthors":false,"publicationDate":"2011-11-16","publicationStatus":"PW","scienceBaseUri":"505a052de4b0c8380cd50cb8","contributors":{"authors":[{"text":"Ferraccioli, Fausto","contributorId":43591,"corporation":false,"usgs":true,"family":"Ferraccioli","given":"Fausto","email":"","affiliations":[],"preferred":false,"id":446676,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Finn, Carol A. 0000-0002-6178-0405 cfinn@usgs.gov","orcid":"https://orcid.org/0000-0002-6178-0405","contributorId":1326,"corporation":false,"usgs":true,"family":"Finn","given":"Carol","email":"cfinn@usgs.gov","middleInitial":"A.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":446674,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jordan, Tom A.","contributorId":104304,"corporation":false,"usgs":true,"family":"Jordan","given":"Tom","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":446678,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bell, Robin E.","contributorId":26902,"corporation":false,"usgs":true,"family":"Bell","given":"Robin","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":446675,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Anderson, Lester M.","contributorId":105553,"corporation":false,"usgs":true,"family":"Anderson","given":"Lester","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":446679,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Damaske, Detlef","contributorId":77384,"corporation":false,"usgs":true,"family":"Damaske","given":"Detlef","email":"","affiliations":[],"preferred":false,"id":446677,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70034619,"text":"70034619 - 2011 - Estimating water supply arsenic levels in the New England bladder cancer study","interactions":[],"lastModifiedDate":"2021-04-14T21:03:52.593427","indexId":"70034619","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1542,"text":"Environmental Health Perspectives","active":true,"publicationSubtype":{"id":10}},"title":"Estimating water supply arsenic levels in the New England bladder cancer study","docAbstract":"Background: Ingestion of inorganic arsenic in drinking water is recognized as a cause of bladder cancer when levels are relatively high (≥ 150 µg/L). The epidemiologic evidence is less clear at the low-to-moderate concentrations typically observed in the United States. Accurate retrospective exposure assessment over a long time period is a major challenge in conducting epidemiologic studies of environmental factors and diseases with long latency, such as cancer.
Objective: We estimated arsenic concentrations in the water supplies of 2,611 participants in a population-based case–control study in northern New England.
Methods: Estimates covered the lifetimes of most study participants and were based on a combination of arsenic measurements at the homes of the participants and statistical modeling of arsenic concentrations in the water supply of both past and current homes. We assigned a residential water supply arsenic concentration for 165,138 (95%) of the total 173,361 lifetime exposure years (EYs) and a workplace water supply arsenic level for 85,195 EYs (86% of reported occupational years).
Results: Three methods accounted for 93% of the residential estimates of arsenic concentration: direct measurement of water samples (27%; median, 0.3 µg/L; range, 0.1–11.5), statistical models of water utility measurement data (49%; median, 0.4 µg/L; range, 0.3–3.3), and statistical models of arsenic concentrations in wells using aquifers in New England (17%; median, 1.6 µg/L; range, 0.6–22.4).
Conclusions: We used a different validation procedure for each of the three methods, and found our estimated levels to be comparable with available measured concentrations. This methodology allowed us to calculate potential drinking water exposure over long periods.
This analysis modifies the parsimonious specification of recently published total nitrogen (TN) and total phosphorus (TP) national‐scale SPAtially Referenced Regressions On Watershed attributes models to allow each model coefficient to vary geographically among three major river basins of the conterminous United States. Regionalization of the national models reduces the standard errors in the prediction of TN and TP loads, expressed as a percentage of the predicted load, by about 6 and 7%. We develop and apply a method for combining national‐scale and regional‐scale information to estimate a hybrid model that imposes cross‐region constraints that limit regional variation in model coefficients, effectively reducing the number of free model parameters as compared to a collection of independent regional models. The hybrid TN and TP regional models have improved model fit relative to the respective national models, reducing the standard error in the prediction of loads, expressed as a percentage of load, by about 5 and 4%. Only 19% of the TN hybrid model coefficients and just 2% of the TP hybrid model coefficients show evidence of substantial regional specificity (more than ±100% deviation from the national model estimate). The hybrid models have much greater precision in the estimated coefficients than do the unconstrained regional models, demonstrating the efficacy of pooling information across regions to improve regional models.
","language":"English","publisher":"Wiley","doi":"10.1111/j.1752-1688.2011.00581.x","issn":"1093474X","usgsCitation":"Schwarz, G.E., Alexander, R.B., Smith, R.A., and Preston, S.D., 2011, The Regionalization of National-Scale SPARROW Models for Stream Nutrients: Journal of the American Water Resources Association, v. 47, no. 5, p. 1151-1172, https://doi.org/10.1111/j.1752-1688.2011.00581.x.","productDescription":"22 p.","startPage":"1151","endPage":"1172","costCenters":[],"links":[{"id":475374,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1752-1688.2011.00581.x","text":"Publisher Index Page"},{"id":243410,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215596,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1752-1688.2011.00581.x"}],"country":"United 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Program","active":true,"usgs":true}],"preferred":true,"id":446735,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Preston, Stephen D. 0000-0003-1515-6692 spreston@usgs.gov","orcid":"https://orcid.org/0000-0003-1515-6692","contributorId":1463,"corporation":false,"usgs":true,"family":"Preston","given":"Stephen","email":"spreston@usgs.gov","middleInitial":"D.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":446736,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70034625,"text":"70034625 - 2011 - Late-Holocene climate evolution at the WAIS Divide site, West Antarctica: Bubble number-density estimates","interactions":[],"lastModifiedDate":"2020-11-11T12:54:47.319828","indexId":"70034625","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2328,"text":"Journal of Glaciology","active":true,"publicationSubtype":{"id":10}},"title":"Late-Holocene climate evolution at the WAIS Divide site, West Antarctica: Bubble number-density estimates","docAbstract":"A surface cooling of ∼1.7°C occurred over the ∼two millennia prior to ∼1700 CE at the West Antarctic ice sheet (WAIS) Divide site, based on trends in observed bubble number-density of samples from the WDC06A ice core, and on an independently constructed accumulation-rate history using annual-layer dating corrected for density variations and thinning from ice flow. Density increase and grain growth in polar firn are both controlled by temperature and accumulation rate, and the integrated effects are recorded in the number-density of bubbles as the firn changes to ice. Number-density is conserved in bubbly ice following pore close-off, allowing reconstruction of either paleotemperature or paleo-accumulation rate if the other is known. A quantitative late-Holocene paleoclimate reconstruction is presented for West Antarctica using data obtained from the WAIS Divide WDC06A ice core and a steady-state bubble number-density model. The resultant temperature history agrees closely with independent reconstructions based on stable-isotopic ratios of ice. The ∼1.7°C cooling trend observed is consistent with a decrease in Antarctic summer duration from changing orbital obliquity, although it remains possible that elevation change at the site contributed part of the signal. Accumulation rate and temperature dropped together, broadly consistent with control by saturation vapor pressure.
","language":"English","publisher":"Cambridge University Press","doi":"10.3189/002214311797409677","issn":"00221430","usgsCitation":"Fegyveresi, J., Alley, R.B., Spencer, M.K., Fitzpatrick, J.J., Steig, E., White, J., McConnell, J., and Taylor, K., 2011, Late-Holocene climate evolution at the WAIS Divide site, West Antarctica: Bubble number-density estimates: Journal of Glaciology, v. 57, no. 204, p. 629-638, https://doi.org/10.3189/002214311797409677.","productDescription":"10 p.","startPage":"629","endPage":"638","numberOfPages":"10","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":475264,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3189/002214311797409677","text":"Publisher Index Page"},{"id":243411,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"57","issue":"204","noUsgsAuthors":false,"publicationDate":"2017-09-08","publicationStatus":"PW","scienceBaseUri":"505a4563e4b0c8380cd6728c","contributors":{"authors":[{"text":"Fegyveresi, John M.","contributorId":40822,"corporation":false,"usgs":false,"family":"Fegyveresi","given":"John M.","affiliations":[{"id":13035,"text":"Department of Geosciences, Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":446739,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alley, R. B.","contributorId":49533,"corporation":false,"usgs":false,"family":"Alley","given":"R.","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":446741,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Spencer, M. K.","contributorId":79687,"corporation":false,"usgs":false,"family":"Spencer","given":"M.","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":446743,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fitzpatrick, J. J.","contributorId":95078,"corporation":false,"usgs":true,"family":"Fitzpatrick","given":"J.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":446744,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Steig, E.J.","contributorId":100556,"corporation":false,"usgs":true,"family":"Steig","given":"E.J.","affiliations":[],"preferred":false,"id":446745,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"White, J.W.C.","contributorId":43124,"corporation":false,"usgs":true,"family":"White","given":"J.W.C.","email":"","affiliations":[],"preferred":false,"id":446740,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McConnell, J.R.","contributorId":70203,"corporation":false,"usgs":true,"family":"McConnell","given":"J.R.","email":"","affiliations":[],"preferred":false,"id":446742,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Taylor, K.C.","contributorId":10470,"corporation":false,"usgs":true,"family":"Taylor","given":"K.C.","email":"","affiliations":[],"preferred":false,"id":446738,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70034994,"text":"70034994 - 2011 - Transient changes in shallow groundwater chemistry during the MSU ZERT CO2 injection experiment","interactions":[],"lastModifiedDate":"2021-03-08T17:38:55.752959","indexId":"70034994","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Transient changes in shallow groundwater chemistry during the MSU ZERT CO2 injection experiment","docAbstract":"Food-grade CO2 was injected into a shallow aquifer through a perforated pipe placed horizontally 1–2 m below the water table at the Montana State University Zero Emission Research and Technology (MSU-ZERT) field site at Bozeman, Montana. The possible impact of elevated CO2 levels on groundwater quality was investigated by analyzing 80 water samples taken before, during, and following CO2 injection. Field determinations and laboratory analyses showed rapid and systematic changes in pH, alkalinity, and conductance, as well as increases in the aqueous concentrations of trace element species. The geochemical data were first evaluated using principal component analysis (PCA) in order to identify correlations between aqueous species. The PCA findings were then used in formulating a geochemical model to simulate the processes likely to be responsible for the observed increases in the concentrations of dissolved constituents. Modeling was conducted taking into account aqueous and surface complexation, cation exchange, and mineral precipitation and dissolution. Reasonable matches between measured data and model results suggest that: (1) CO2 dissolution in the groundwater causes calcite to dissolve. (2) Observed increases in the concentration of dissolved trace metals result likely from Ca+2-driven ion exchange with clays (smectites) and sorption/desorption reactions likely involving Fe (hydr)oxides. (3) Bicarbonate from CO2 dissolution appears to compete for sorption with anionic species such as HAsO4−2, potentially increasing dissolved As levels in groundwater.
: Effective conservation metrics are needed to evaluate the success of management in a rapidly changing world. Reproductive rates and densities of breeding birds (as a surrogate for reproductive rate) have been used to indicate the quality of avian breeding habitat, but the underlying assumptions of these metrics rarely have been examined. When birds are attracted to breeding areas in part by the presence of conspecifics and when breeding in groups influences predation rates, the effectiveness of density and reproductive rate as indicators of habitat quality is reduced. It is beneficial to clearly distinguish between individual- and population-level processes when evaluating habitat quality. We use the term reproductive rate to refer to both levels and further distinguish among levels by using the terms per capita fecundity (number of female offspring per female per year, individual level) and population growth rate (the product of density and per capita fecundity, population level). We predicted how density and reproductive rate interact over time under density-independent and density-dependent scenarios, assuming the ideal free distribution model of how birds settle in breeding habitats. We predicted population density of small populations would be correlated positively with both per capita fecundity and population growth rate due to the Allee effect. For populations in the density-dependent growth phase, we predicted no relation between density and per capita fecundity (because individuals in all patches will equilibrate to the same success rate) and a positive relation between density and population growth rate. Several ecological theories collectively suggest that positive correlations between density and per capita fecundity would be difficult to detect. We constructed a decision tree to guide interpretation of positive, neutral, nonlinear, and negative relations between density and reproductive rates at individual and population levels.
","language":"English, Spanish","publisher":"Society for Conservation Biology","doi":"10.1111/j.1523-1739.2010.01571.x","issn":"08888892","usgsCitation":"Skagen, S.K., and Yackel Adams, A.A., 2011, Potential misuse of avian density as a conservation metric: Conservation Biology, v. 25, no. 1, p. 48-55, https://doi.org/10.1111/j.1523-1739.2010.01571.x.","productDescription":"8 p.","startPage":"48","endPage":"55","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":217041,"rank":2,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1523-1739.2010.01571.x"},{"id":244952,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"25","issue":"1","noUsgsAuthors":false,"publicationDate":"2010-09-02","publicationStatus":"PW","scienceBaseUri":"505a7f4be4b0c8380cd7aa44","contributors":{"authors":[{"text":"Skagen, Susan K. 0000-0002-6744-1244 skagens@usgs.gov","orcid":"https://orcid.org/0000-0002-6744-1244","contributorId":2009,"corporation":false,"usgs":true,"family":"Skagen","given":"Susan","email":"skagens@usgs.gov","middleInitial":"K.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":459008,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yackel Adams, Amy A. 0000-0002-7044-8447 yackela@usgs.gov","orcid":"https://orcid.org/0000-0002-7044-8447","contributorId":3116,"corporation":false,"usgs":true,"family":"Yackel Adams","given":"Amy","email":"yackela@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":459007,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70034627,"text":"70034627 - 2011 - A probabilistic seismic risk assessment procedure for nuclear power plants: (I) Methodology","interactions":[],"lastModifiedDate":"2021-04-15T11:58:08.696407","indexId":"70034627","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":8133,"text":"Nuclear Engineering and Design","active":true,"publicationSubtype":{"id":10}},"title":"A probabilistic seismic risk assessment procedure for nuclear power plants: (I) Methodology","docAbstract":"A new procedure for probabilistic seismic risk assessment of nuclear power plants (NPPs) is proposed. This procedure modifies the current procedures using tools developed recently for performance-based earthquake engineering of buildings. The proposed procedure uses (a) response-based fragility curves to represent the capacity of structural and nonstructural components of NPPs, (b) nonlinear response-history analysis to characterize the demands on those components, and (c) Monte Carlo simulations to determine the damage state of the components. The use of response-rather than ground-motion-based fragility curves enables the curves to be independent of seismic hazard and closely related to component capacity. The use of Monte Carlo procedure enables the correlation in the responses of components to be directly included in the risk assessment. An example of the methodology is presented in a companion paper to demonstrate its use and provide the technical basis for aspects of the methodology.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.nucengdes.2011.06.051","issn":"00295493","usgsCitation":"Huang, Y., Whittaker, A., and Luco, N., 2011, A probabilistic seismic risk assessment procedure for nuclear power plants: (I) Methodology: Nuclear Engineering and Design, v. 241, no. 9, p. 3996-4003, https://doi.org/10.1016/j.nucengdes.2011.06.051.","productDescription":"8 p.","startPage":"3996","endPage":"4003","costCenters":[],"links":[{"id":243444,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"241","issue":"9","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e508e4b0c8380cd46a9d","contributors":{"authors":[{"text":"Huang, Y.-N.","contributorId":98860,"corporation":false,"usgs":true,"family":"Huang","given":"Y.-N.","email":"","affiliations":[],"preferred":false,"id":446753,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Whittaker, A.S.","contributorId":8596,"corporation":false,"usgs":true,"family":"Whittaker","given":"A.S.","email":"","affiliations":[],"preferred":false,"id":446751,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Luco, N.","contributorId":34240,"corporation":false,"usgs":true,"family":"Luco","given":"N.","email":"","affiliations":[],"preferred":false,"id":446752,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70034992,"text":"70034992 - 2011 - Hydrostratigraphic analysis of the MADE site with full-resolution GPR and direct-push hydraulic profiling","interactions":[],"lastModifiedDate":"2021-03-03T18:44:03.210543","indexId":"70034992","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Hydrostratigraphic analysis of the MADE site with full-resolution GPR and direct-push hydraulic profiling","docAbstract":"Full‐resolution 3D Ground‐Penetrating Radar (GPR) data were combined with high‐resolution hydraulic conductivity (K) data from vertical Direct‐Push (DP) profiles to characterize a portion of the highly heterogeneous MAcro Dispersion Experiment (MADE) site. This is an important first step to better understand the influence of aquifer heterogeneities on observed anomalous transport. Statistical evaluation of DP data indicates non‐normal distributions that have much higher similarity within each GPR facies than between facies. The analysis of GPR and DP data provides high‐resolution estimates of the 3D geometry of hydrostratigraphic zones, which can then be populated with stochastic K fields. The lack of such estimates has been a significant limitation for testing and parameterizing a range of novel transport theories at sites where the traditional advection‐dispersion model has proven inadequate.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2010GL046439","issn":"00948276","usgsCitation":"Dogan, M., Van Dam, R.L., Bohling, G.C., Butler, J., and Hyndman, D., 2011, Hydrostratigraphic analysis of the MADE site with full-resolution GPR and direct-push hydraulic profiling: Geophysical Research Letters, v. 38, no. 6, L06405, 6 p., https://doi.org/10.1029/2010GL046439.","productDescription":"L06405, 6 p.","costCenters":[],"links":[{"id":475062,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2010gl046439","text":"Publisher Index Page"},{"id":243282,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215474,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2010GL046439"}],"country":"United States","state":"Mississippi","otherGeospatial":"Columbus Air Force Base","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.49178314208983,\n 33.59374516555303\n ],\n [\n -88.39736938476562,\n 33.59374516555303\n ],\n [\n -88.39736938476562,\n 33.68521069542541\n ],\n [\n -88.49178314208983,\n 33.68521069542541\n ],\n [\n -88.49178314208983,\n 33.59374516555303\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"38","issue":"6","noUsgsAuthors":false,"publicationDate":"2011-03-22","publicationStatus":"PW","scienceBaseUri":"505a378be4b0c8380cd60f69","contributors":{"authors":[{"text":"Dogan, M.","contributorId":81708,"corporation":false,"usgs":true,"family":"Dogan","given":"M.","email":"","affiliations":[],"preferred":false,"id":448740,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Van Dam, R. L.","contributorId":64473,"corporation":false,"usgs":true,"family":"Van Dam","given":"R.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":448739,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bohling, Geoffrey C.","contributorId":43109,"corporation":false,"usgs":false,"family":"Bohling","given":"Geoffrey","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":448738,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Butler, J.J. Jr.","contributorId":12194,"corporation":false,"usgs":true,"family":"Butler","given":"J.J.","suffix":"Jr.","email":"","affiliations":[],"preferred":false,"id":448737,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hyndman, D.W.","contributorId":83318,"corporation":false,"usgs":true,"family":"Hyndman","given":"D.W.","email":"","affiliations":[],"preferred":false,"id":448741,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70044504,"text":"70044504 - 2011 - On the Hydrologic Adjustment of Climate-Model Projections: The Potential Pitfall of Potential Evapotranspiration","interactions":[],"lastModifiedDate":"2013-04-02T09:09:34","indexId":"70044504","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1421,"text":"Earth Interactions","active":true,"publicationSubtype":{"id":10}},"title":"On the Hydrologic Adjustment of Climate-Model Projections: The Potential Pitfall of Potential Evapotranspiration","docAbstract":"Hydrologic models often are applied to adjust projections of hydroclimatic change that come from climate models. Such adjustment includes climate-bias correction, spatial refinement (\"downscaling\"), and consideration of the roles of hydrologic processes that were neglected in the climate model. Described herein is a quantitative analysis of the effects of hydrologic adjustment on the projections of runoff change associated with projected twenty-first-century climate change. In a case study including three climate models and 10 river basins in the contiguous United States, the authors find that relative (i.e., fractional or percentage) runoff change computed with hydrologic adjustment more often than not was less positive (or, equivalently, more negative) than what was projected by the climate models. The dominant contributor to this decrease in runoff was a ubiquitous change in runoff (median -11%) caused by the hydrologic model’s apparent amplification of the climate-model-implied growth in potential evapotranspiration. Analysis suggests that the hydrologic model, on the basis of the empirical, temperature-based modified Jensen–Haise formula, calculates a change in potential evapotranspiration that is typically 3 times the change implied by the climate models, which explicitly track surface energy budgets. In comparison with the amplification of potential evapotranspiration, central tendencies of other contributions from hydrologic adjustment (spatial refinement, climate-bias adjustment, and process refinement) were relatively small. The authors’ findings highlight the need for caution when projecting changes in potential evapotranspiration for use in hydrologic models or drought indices to evaluate climate-change impacts on water.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earth Interactions","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Meteorological Society","publisherLocation":"Boston, MA","doi":"10.1175/2010EI363.1","usgsCitation":"Milly, P., and Dunne, K.A., 2011, On the Hydrologic Adjustment of Climate-Model Projections: The Potential Pitfall of Potential Evapotranspiration: Earth Interactions, v. 15, no. 1, p. 1-14, https://doi.org/10.1175/2010EI363.1.","productDescription":"15 p.","startPage":"1","endPage":"14","numberOfPages":"15","additionalOnlineFiles":"N","ipdsId":"IP-019747","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":475164,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1175/2010ei363.1","text":"Publisher Index Page"},{"id":270445,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270444,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1175/2010EI363.1"}],"volume":"15","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-01-14","publicationStatus":"PW","scienceBaseUri":"515bfdf6e4b075500ee5ca7b","contributors":{"authors":[{"text":"Milly, Paul C.D. 0000-0003-4389-3139 cmilly@usgs.gov","orcid":"https://orcid.org/0000-0003-4389-3139","contributorId":2119,"corporation":false,"usgs":true,"family":"Milly","given":"Paul C.D.","email":"cmilly@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":false,"id":475759,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dunne, Krista A. kadunne@usgs.gov","contributorId":3936,"corporation":false,"usgs":true,"family":"Dunne","given":"Krista","email":"kadunne@usgs.gov","middleInitial":"A.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":475760,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70037018,"text":"70037018 - 2011 - Seasonal erosion and restoration of Mars' northern polar dunes","interactions":[],"lastModifiedDate":"2018-11-14T16:31:09","indexId":"70037018","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal erosion and restoration of Mars' northern polar dunes","docAbstract":"Despite radically different environmental conditions, terrestrial and martian dunes bear a strong resemblance, indicating that the basic processes of saltation and grainfall (sand avalanching down the dune slipface) operate on both worlds. Here, we show that martian dunes are subject to an additional modification process not found on Earth: springtime sublimation of Mars' CO 2 seasonal polar caps. Numerous dunes in Mars' north polar region have experienced morphological changes within a Mars year, detected in images acquired by the High-Resolution Imaging Science Experiment on the Mars Reconnaissance Orbiter. Dunes show new alcoves, gullies, and dune apron extension. This is followed by remobilization of the fresh deposits by the wind, forming ripples and erasing gullies. The widespread nature of these rapid changes, and the pristine appearance of most dunes in the area, implicates active sand transport in the vast polar erg in Mars' current climate.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Association for the Advancement of Science","doi":"10.1126/science.1197636","issn":"00368075","usgsCitation":"Hansen, C., Bourke, M., Bridges, N.T., Byrne, S., Colon, C., Diniega, S., Dundas, C.M., Herkenhoff, K.E., McEwen, A., Mellon, M., Portyankina, G., and Thomas, N., 2011, Seasonal erosion and restoration of Mars' northern polar dunes: Science, v. 331, no. 6017, p. 575-578, https://doi.org/10.1126/science.1197636.","productDescription":"4 p.","startPage":"575","endPage":"578","numberOfPages":"4","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":217011,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1126/science.1197636"},{"id":244921,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mars","volume":"331","issue":"6017","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b889ee4b08c986b316a7c","contributors":{"authors":[{"text":"Hansen, C.J.","contributorId":72530,"corporation":false,"usgs":true,"family":"Hansen","given":"C.J.","email":"","affiliations":[],"preferred":false,"id":458995,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bourke, M.","contributorId":100610,"corporation":false,"usgs":true,"family":"Bourke","given":"M.","email":"","affiliations":[],"preferred":false,"id":458996,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bridges, Nathan T.","contributorId":45005,"corporation":false,"usgs":true,"family":"Bridges","given":"Nathan","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":458987,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Byrne, Shane","contributorId":53513,"corporation":false,"usgs":false,"family":"Byrne","given":"Shane","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":458997,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Colon, C.","contributorId":46784,"corporation":false,"usgs":true,"family":"Colon","given":"C.","email":"","affiliations":[],"preferred":false,"id":458992,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Diniega, S.","contributorId":37976,"corporation":false,"usgs":true,"family":"Diniega","given":"S.","affiliations":[],"preferred":false,"id":458989,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dundas, Colin M. 0000-0003-2343-7224 cdundas@usgs.gov","orcid":"https://orcid.org/0000-0003-2343-7224","contributorId":2937,"corporation":false,"usgs":true,"family":"Dundas","given":"Colin","email":"cdundas@usgs.gov","middleInitial":"M.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":458988,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Herkenhoff, Kenneth E. 0000-0002-3153-6663 kherkenhoff@usgs.gov","orcid":"https://orcid.org/0000-0002-3153-6663","contributorId":2275,"corporation":false,"usgs":true,"family":"Herkenhoff","given":"Kenneth","email":"kherkenhoff@usgs.gov","middleInitial":"E.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":458986,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"McEwen, A.","contributorId":39105,"corporation":false,"usgs":true,"family":"McEwen","given":"A.","affiliations":[],"preferred":false,"id":458990,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Mellon, M.","contributorId":43152,"corporation":false,"usgs":true,"family":"Mellon","given":"M.","affiliations":[],"preferred":false,"id":458991,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Portyankina, Ganna","contributorId":200703,"corporation":false,"usgs":false,"family":"Portyankina","given":"Ganna","email":"","affiliations":[],"preferred":false,"id":458993,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Thomas, N.","contributorId":72490,"corporation":false,"usgs":true,"family":"Thomas","given":"N.","email":"","affiliations":[],"preferred":false,"id":458994,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70175157,"text":"70175157 - 2011 - Chapter 3: Changes to the Wyoming Basins landscape from oil and natural gas development","interactions":[{"subject":{"id":70175157,"text":"70175157 - 2011 - Chapter 3: Changes to the Wyoming Basins landscape from oil and natural gas development","indexId":"70175157","publicationYear":"2011","noYear":false,"chapter":"3","title":"Chapter 3: Changes to the Wyoming Basins landscape from oil and natural gas development"},"predicate":"IS_PART_OF","object":{"id":70118768,"text":"70118768 - 2011 - Sagebrush ecosystem conservation and management: Ecoregional assessment tools and models for the Wyoming Basins","indexId":"70118768","publicationYear":"2011","noYear":false,"title":"Sagebrush ecosystem conservation and management: Ecoregional assessment tools and models for the Wyoming Basins"},"id":1}],"isPartOf":{"id":70118768,"text":"70118768 - 2011 - Sagebrush ecosystem conservation and management: Ecoregional assessment tools and models for the Wyoming Basins","indexId":"70118768","publicationYear":"2011","noYear":false,"title":"Sagebrush ecosystem conservation and management: Ecoregional assessment tools and models for the Wyoming Basins"},"lastModifiedDate":"2020-08-31T14:05:19.504293","indexId":"70175157","displayToPublicDate":"2010-12-26T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"3","title":"Chapter 3: Changes to the Wyoming Basins landscape from oil and natural gas development","docAbstract":"Oil and natural gas have been produced in Wyoming since the late 1800s although the rate of extraction has increased substantially in the last two decades. Well pads, roads, and infrastructure built to support resource development alter native vegetation configuration; however, the rate and effect of land cover change resulting from oil and gas extraction has not been quantified across the region. We used a Geographic Information System (GIS) to model development through time and assess change to native vegetation at two spatial extents (field and subbasin) within the Wyoming portion of the Wyoming Basins Ecoregional Assessment (WBEA) area. Since 1900, a minimum of 1,703 km2 of native vegetation in the WBEA area has been replaced by well pads or roads. Shrublands were, and continue to be, the dominant land cover class and the cover type most affected by oil and gas extraction. Average shrubland patch size has decreased by approximately 10% at the subbasin extent in the WBEA. Core area (≥60 m from edge) size declined by 13% as road development fragmented formerly continuous patches. To date, the majority of land cover change has occurred in formally identified oil and gas fields, which cover about 1% of the WBEA in Wyoming. Approximately 7.5% of shrubland within oil and gas fields has been converted to well pad or a road supporting a well, and shrubland patch size has declined by 45%. Resource reserves, especially natural gas, have been identified outside traditional fields, and development will likely expand as resource development becomes more cost-effective. Revegetation guidelines are in place for development areas addressed by Environmental Impact Assessments although no quantitative data are available to assess how well restoration efforts are restoring landscapes and connecting fragments.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Sagebrush ecosystem conservation and management: Ecoregional assessment tools and models for the Wyoming Basins","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Allen Press","publisherLocation":"Lawrence, Kansas","isbn":"978-0-615-55530-0","usgsCitation":"Finn, S.P., and Knick, S.T., 2011, Chapter 3: Changes to the Wyoming Basins landscape from oil and natural gas development, chap. 3 of Sagebrush ecosystem conservation and management: Ecoregional assessment tools and models for the Wyoming Basins, p. 69-87.","productDescription":"19 p.","startPage":"69","endPage":"87","numberOfPages":"19","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":325881,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":378018,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ja/70175157/70175157.pdf","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"The U.S. Geological Survey has been given express permission by the publisher to provide full-text access online for this publication, and is posted with the express permission from the Publications Warehouse Guidance Subcommittee"}],"country":"United States","state":"Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.03881835937499,\n 41.0130657870063\n ],\n [\n -111.03881835937499,\n 44.99588261816546\n ],\n [\n -104.073486328125,\n 44.99588261816546\n ],\n [\n -104.073486328125,\n 41.0130657870063\n ],\n [\n -111.03881835937499,\n 41.0130657870063\n ]\n ]\n ]\n }\n }\n ]\n}","publicComments":"The U.S. Geological Survey has been given express permission by the publisher to provide full-text access online for this publication, and is posted with the express permission from the Publications Warehouse Guidance Subcommittee","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57a072bce4b060ce18fb2e31","contributors":{"authors":[{"text":"Finn, Sean P.","contributorId":106623,"corporation":false,"usgs":true,"family":"Finn","given":"Sean","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":644142,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Knick, Steven T. 0000-0003-4025-1704 steve_knick@usgs.gov","orcid":"https://orcid.org/0000-0003-4025-1704","contributorId":159,"corporation":false,"usgs":true,"family":"Knick","given":"Steven","email":"steve_knick@usgs.gov","middleInitial":"T.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":644143,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70004560,"text":"70004560 - 2011 - 'Forensic' geochemical approaches to constrain the source of Au-Ag in low-sulfidation epithermal ores","interactions":[],"lastModifiedDate":"2021-10-08T14:39:56.226742","indexId":"70004560","displayToPublicDate":"2010-05-14T09:31:37","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"displayTitle":"\"Forensic\" geochemical approaches to constrain the source of Au-Ag in low-sulfidation epithermal ores","title":"'Forensic' geochemical approaches to constrain the source of Au-Ag in low-sulfidation epithermal ores","docAbstract":"In order to better constrain genetic processes involved in forming mineral deposits (and ultimately exploration models), it helps to know from where the metals of interest are derived. How the metals arrived at their point of deposition, and why they were deposited there, are separate issues. We are using three different techniques in an attempt to better understand these processes for epithermal ores. All have some ambiguity inherent to them, but we think that based on our preliminary investigations, together they point to a new understanding of how some epithermal ores in the northern Great Basin form. These techniques include: 1) plotting the relative abundances of Au, Ag, Pb, As, Sb, Se, Te of the ores; 2) Pb-isotope abundances in Au-Ag minerals; and 3) Re-Os isotope analyses of Au-Ag minerals in the ores. Results to date suggest: 1) the “epithermal suite” geochemical association is likely related to the similar volatility of these metal(loid)s, and thus we conclude they are derived from the mantle as opposed to representing a shallow origin; and 2) Preliminary Pb and Re-Os isotopic analyses of Au-Ag minerals indicate that they are derived from the mafic that were part of the bimodal volcanic suite associated with the initial emergence of the Yellowstone Hotspot (YHS) in the northern Great Basin at about 16-15 Ma. Epithermal ore formation associated with the YHS which may suggest the source region of the mantle was rapidly depleted.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Great Basin evolution and metallogeny: 2010 symposium proceedings","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Geological Society of Nevada 2010 Symposium","conferenceDate":"May 14-22, 2010","conferenceLocation":"Reno, NV","language":"English","publisher":"DEStech Publications, Inc.","usgsCitation":"Saunders, J., Kamenov, G., Hofstra, A.H., Unger, D.L., Creaser, R.A., and Barra, F., 2011, 'Forensic' geochemical approaches to constrain the source of Au-Ag in low-sulfidation epithermal ores, in Great Basin evolution and metallogeny: 2010 symposium proceedings, Reno, NV, May 14-22, 2010, p. 693-700.","productDescription":"8 p.","startPage":"693","endPage":"700","numberOfPages":"8","ipdsId":"IP-029905","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":390332,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":390331,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.gsnv.org/"}],"country":"United States","state":"California, Colorado, Idaho, Nevada, Oregon, Utah, Wyoming","otherGeospatial":"Great Basin, Yellowstone Hotspot","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.37695312499999,\n 37.64903402157866\n ],\n [\n -104.96337890625,\n 37.64903402157866\n ],\n [\n -104.96337890625,\n 45.089035564831036\n ],\n [\n -121.37695312499999,\n 45.089035564831036\n ],\n [\n -121.37695312499999,\n 37.64903402157866\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Steininger, Roger","contributorId":148048,"corporation":false,"usgs":false,"family":"Steininger","given":"Roger","email":"","affiliations":[],"preferred":false,"id":824881,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Pennell, Bill","contributorId":148049,"corporation":false,"usgs":false,"family":"Pennell","given":"Bill","email":"","affiliations":[],"preferred":false,"id":824882,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Saunders, James A.","contributorId":116108,"corporation":false,"usgs":false,"family":"Saunders","given":"James A.","affiliations":[],"preferred":false,"id":513132,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kamenov, G. D.","contributorId":121480,"corporation":false,"usgs":false,"family":"Kamenov","given":"G. D.","affiliations":[],"preferred":false,"id":513137,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hofstra, Albert H. 0000-0002-2450-1593 ahofstra@usgs.gov","orcid":"https://orcid.org/0000-0002-2450-1593","contributorId":1302,"corporation":false,"usgs":true,"family":"Hofstra","given":"Albert","email":"ahofstra@usgs.gov","middleInitial":"H.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":824880,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Unger, D. L.","contributorId":119903,"corporation":false,"usgs":false,"family":"Unger","given":"D.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":513135,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Creaser, R. A.","contributorId":121003,"corporation":false,"usgs":false,"family":"Creaser","given":"R.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":513136,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Barra, F.","contributorId":119603,"corporation":false,"usgs":false,"family":"Barra","given":"F.","email":"","affiliations":[],"preferred":false,"id":513134,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70173997,"text":"70173997 - 2011 - Testing a bioenergetics-based habitat choice model: bluegill (Lepomis macrochirus) responses to food availability and temperature","interactions":[],"lastModifiedDate":"2017-05-22T14:31:10","indexId":"70173997","displayToPublicDate":"1990-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Testing a bioenergetics-based habitat choice model: bluegill (Lepomis macrochirus) responses to food availability and temperature","docAbstract":"Using an automated shuttlebox system, we conducted patch choice experiments with 32, 8–12 g bluegill sunfish (Lepomis macrochirus) to test a behavioral energetics hypothesis of habitat choice. When patch temperature and food levels were held constant within patches but different between patches, we expected bluegill to choose patches that maximized growth based on the bioenergetic integration of food and temperature as predicted by a bioenergetics model. Alternative hypotheses were that bluegill may choose patches based only on food (optimal foraging) or temperature (behavioral thermoregulation). The behavioral energetics hypothesis was not a good predictor of short-term (from minutes to weeks) patch choice by bluegill; the behavioral thermoregulation hypothesis was the best predictor. In the short-term, food and temperature appeared to affect patch choice hierarchically; temperature was more important, although food can alter temperature preference during feeding periods. Over a 19-d experiment, mean temperatures occupied by fish offered low rations did decline as predicted by the behavioral energetics hypothesis, but the decline was less than 1.0 °C as opposed to a possible 5 °C decline. A short-term, bioenergetic response to food and temperature may be precluded by physiological costs of acclimation not considered explicitly in the behavioral energetics hypothesis.
","language":"English","publisher":"NRC Research Press","doi":"10.1139/f90-190","usgsCitation":"NRC Research Press, 2011, Testing a bioenergetics-based habitat choice model: bluegill (Lepomis macrochirus) responses to food availability and temperature: Canadian Journal of Fisheries and Aquatic Sciences, v. 47, no. 9, p. 1664-1671, https://doi.org/10.1139/f90-190.","productDescription":"8 p.","startPage":"1664","endPage":"1671","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":324169,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"47","issue":"9","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"576a652ee4b07657d1a11cda"} ,{"id":70221802,"text":"70221802 - 2010 - Fluid flow, solution collapse, and massive dissolution at detachment faults, Mormon Mountains, Nevada","interactions":[],"lastModifiedDate":"2021-07-07T19:11:27.079859","indexId":"70221802","displayToPublicDate":"2021-07-07T13:35:45","publicationYear":"2010","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Fluid flow, solution collapse, and massive dissolution at detachment faults, Mormon Mountains, Nevada","docAbstract":"","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Miocene tectonics of the Lake Mead Region, central basin and range","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Geological Society of America","doi":"10.1130/2010.2463(19)","usgsCitation":"Diehl, S.F., Anderson, R.E., and Humphrey, J.D., 2010, Fluid flow, solution collapse, and massive dissolution at detachment faults, Mormon Mountains, Nevada, chap. of Miocene tectonics of the Lake Mead Region, central basin and range, v. 463, p. 427-441, https://doi.org/10.1130/2010.2463(19).","productDescription":"15 p.","startPage":"427","endPage":"441","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":386998,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","otherGeospatial":"Mormon Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.80163574218751,\n 36.71687068791304\n ],\n [\n -114.31549072265625,\n 36.71687068791304\n ],\n [\n -114.31549072265625,\n 37.29153547292737\n ],\n [\n -114.80163574218751,\n 37.29153547292737\n ],\n [\n -114.80163574218751,\n 36.71687068791304\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"463","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Umhoefer, Paul J.","contributorId":200335,"corporation":false,"usgs":false,"family":"Umhoefer","given":"Paul","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":818778,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Beard, L. Sue 0000-0001-9552-1893 sbeard@usgs.gov","orcid":"https://orcid.org/0000-0001-9552-1893","contributorId":152,"corporation":false,"usgs":true,"family":"Beard","given":"L.","email":"sbeard@usgs.gov","middleInitial":"Sue","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":818779,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Lamb, Melissa","contributorId":260799,"corporation":false,"usgs":false,"family":"Lamb","given":"Melissa","email":"","affiliations":[],"preferred":false,"id":818780,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Diehl, Sharon F. diehl@usgs.gov","contributorId":1089,"corporation":false,"usgs":true,"family":"Diehl","given":"Sharon","email":"diehl@usgs.gov","middleInitial":"F.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":818772,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, R. Ernest","contributorId":104484,"corporation":false,"usgs":true,"family":"Anderson","given":"R.","email":"","middleInitial":"Ernest","affiliations":[],"preferred":false,"id":818773,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Humphrey, J. D.","contributorId":260797,"corporation":false,"usgs":false,"family":"Humphrey","given":"J.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":818774,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70208555,"text":"70208555 - 2010 - A spectral index for estimating soil salinity in the Yellow River Delta region of China using EO-1 Hyperion data","interactions":[],"lastModifiedDate":"2020-02-20T10:02:05","indexId":"70208555","displayToPublicDate":"2020-02-14T15:11:13","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3025,"text":"Pedosphere","active":true,"publicationSubtype":{"id":10}},"title":"A spectral index for estimating soil salinity in the Yellow River Delta region of China using EO-1 Hyperion data","docAbstract":"Soil salinization is one of the most common land degradation processes. In this study, spectral measurements of saline soil samples collected from the Yellow River Delta region of China were conducted in laboratory and hyperspectral data were acquired from an EO-1 Hyperion sensor to quantitatively map soil salinity in the region. A soil salinity spectral index (SSI) was constructed from continuum-removed reflectance (CR-reflectance) at 2 052 and 2 203 nm, to analyze the spectral absorption features of the salt-affected soils. There existed a strong correlation (r =0.91) between the SSI and soil salt content (SSC). Then, a model for estimation of SSC with SSI was established using univariate regression and validation of the model yielded a root mean square error (RMSE) of 0.986 and an R2 of 0.873. The model was applied to a Hyperion reflectance image on a pixel-by-pixel basis and the resulting quantitative salinity map was validated successfully with RMSE = 1.921 and R2 =0.627. These suggested that the satellite hyperspectral data had the potential for predicting SSC in a large area.
","language":"English","publisher":"Elsevier","doi":"10.1016/S1002-0160(10)60027-6","usgsCitation":"Weng, Y., Gong, P., and Zhu, Z., 2010, A spectral index for estimating soil salinity in the Yellow River Delta region of China using EO-1 Hyperion data: Pedosphere, v. 27, no. 3, p. 378-388, https://doi.org/10.1016/S1002-0160(10)60027-6.","productDescription":"11 p.","startPage":"378","endPage":"388","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":372368,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China","otherGeospatial":"Yellow River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 118.73748779296875,\n 38.190704293996504\n ],\n [\n 118.49029541015625,\n 37.37015718405753\n ],\n [\n 118.75671386718749,\n 37.28279464911045\n ],\n [\n 119.02587890624999,\n 38.10646650598286\n ],\n [\n 118.73748779296875,\n 38.190704293996504\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"27","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Weng, Yongling","contributorId":64767,"corporation":false,"usgs":true,"family":"Weng","given":"Yongling","email":"","affiliations":[],"preferred":false,"id":782455,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gong, Peng","contributorId":169732,"corporation":false,"usgs":false,"family":"Gong","given":"Peng","affiliations":[{"id":25576,"text":"Department of Environmental Science, Policy and Management, University of California, Berkeley, CA, USA 94720","active":true,"usgs":false}],"preferred":false,"id":782456,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhu, Zhiliang 0000-0002-6860-6936 zzhu@usgs.gov","orcid":"https://orcid.org/0000-0002-6860-6936","contributorId":150078,"corporation":false,"usgs":true,"family":"Zhu","given":"Zhiliang","email":"zzhu@usgs.gov","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":5055,"text":"Land Change Science","active":true,"usgs":true},{"id":505,"text":"Office of the AD Climate and Land-Use Change","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":782457,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":98793,"text":"tm3A7 - 2010 - Stage measurement at gaging stations","interactions":[{"subject":{"id":4672,"text":"twri03A7 - 1968 - Stage measurement at gaging stations","indexId":"twri03A7","publicationYear":"1968","noYear":false,"title":"Stage measurement at gaging stations"},"predicate":"SUPERSEDED_BY","object":{"id":98793,"text":"tm3A7 - 2010 - Stage measurement at gaging stations","indexId":"tm3A7","publicationYear":"2010","noYear":false,"title":"Stage measurement at gaging stations"},"id":1}],"lastModifiedDate":"2020-01-06T08:28:11","indexId":"tm3A7","displayToPublicDate":"2020-01-06T09:45:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3-A7","displayTitle":"Stage Measurement at Gaging Stations","title":"Stage measurement at gaging stations","docAbstract":"Stream and reservoir stage are critical parameters in the computation of stream discharge and reservoir volume, respectively. In addition, a record of stream stage is useful in the design of structures that may be affected by stream elevation, as well as for the planning for various uses of flood plains. This report describes equipment and methodology for the observation, sensing, and recording of stage in streams and reservoirs. Although the U.S. Geological Survey (USGS) still uses the traditional, basic stilling-well float system as a predominant gaging station, modern electronic stage sensors and water-level recorders are now commonly used. Bubble gages coupled with nonsubmersible pressure transducers eliminate the need for stilling wells. Submersible pressure transducers have become common in use for the measurement of stage in both rivers and lakes. Furthermore, noncontact methods, such as radar, acoustic, and laser methods of sensing water levels, are being developed and tested, and in the case of radar, are commonly used for the measurement of stage. This report describes commonly used gaging-station structures, as well as the design and operation of gaging stations. Almost all of the equipment and instruments described in this report will meet the accuracy standard set by the USGS Office of Surface Water (OSW) for the measurement of stage for most applications, which is ±0.01 foot (ft) or 0.2 percent of the effective stage. Several telemetry systems are used to transmit stage data from the gaging station to the office, although satellite telemetry has become the standard. These telemetry systems provide near real-time stage data, as well as other information that alerts the hydrographer to extreme or abnormal events, and instrument malfunctions.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm3A7","usgsCitation":"Sauer, V.B., and Turnipseed, D.P., 2010, Stage measurement at gaging stations: U.S. Geological Survey Techniques and Methods book 3, chap. A7, 45 p. (Also available at https://pubs.usgs.gov/tm/tm3-a7/.)\n\n","productDescription":"x, 45 p. ","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":370993,"rank":2,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/wsp/wsp2175/","text":"Water Supply Paper 2175","linkFileType":{"id":5,"text":"html"},"linkHelpText":" - Measurement and Computation of Streamflow"},{"id":14203,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/tm3-a7/tm3a7.pdf","text":"Report","size":"7.84 MB","linkFileType":{"id":1,"text":"pdf"},"description":"TM 3A7"},{"id":126037,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/tm/tm3-a7/coverthb.jpg"}],"publicComments":"This edition supersedes USGS Techniques of Water-Resources Investigations 3A–7, 1968, “Stage measurement at gaging stations,” by T.J. Buchanan and W.P. Somers, available at https://pubs.usgs.gov/twri/twri3a7/, and supplements USGS Water-Supply Paper 2175, volume 1, 1982, “Measurement and computation of streamflow: Measurement of stage and discharge,” by S.E. Rantz and others, available at https://pubs.usgs.gov/wsp/wsp2175/.","contact":"","tableOfContents":"MD-DE-DC Water Science Center
StreamStats
U.S. Geological Survey
5522 Research Park Drive
Baltimore, MD 21228
Models currently used to estimate patterns of species co‐occurrence while accounting for errors in detection of species can be difficult to fit when the effects of covariates on species occurrence probabilities are included. The source of the estimation problems is the particular parameterization used to specify species co‐occurrence probability. We develop a new parameterization for estimating patterns of co‐occurrence of interacting species that allows the effects of covariates to be specified quite naturally without estimation problems. In our model, the occurrence of one species is assumed to depend on the occurrence of another, but the occurrence of the second species is not assumed to depend on the presence of the first species. This pattern of co‐occurrence, wherein one species is dominant and the other is subordinate, can be produced by several types of ecological interactions (predator–prey, parasitism, and so on).
A simulation study demonstrated that estimates of species occurrence probabilities were unbiased in samples of 50–100 locations and three surveys per location, provided species are easily detected (probability of detection ≥ 0.5). Higher sample sizes (>200 locations) are needed to achieve unbiasedness when species are more difficult to detect. An analysis of data from treefrog surveys in southern Florida indicated that the occurrence of Cuban treefrogs, an invasive predator species, was highest near the point of its introduction and declined with distance from that location. Sites occupied by Cuban treefrogs were 9.0 times less likely to contain green treefrogs and 15.7 times less likely to contain squirrel treefrogs compared to sites without Cuban treefrogs. The detection probabilities of native treefrog species did not depend on the presence of Cuban treefrogs, suggesting that the native treefrog species are naive to the introduced species.
","language":"English","publisher":"Ecological Society of America","doi":"10.1890/09-0850.1","usgsCitation":"Waddle, J.H., Dorazio, R., Walls, S.C., Rice, K.G., Beauchamp, J., Schuman, M., and Mazzotti, F., 2010, A new parameterization for estimating co‐occurrence of interacting species: Ecological Applications, v. 20, no. 5, p. 1467-1475, https://doi.org/10.1890/09-0850.1.","productDescription":"9 p.","startPage":"1467","endPage":"1475","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":363092,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Waddle, J. Hardin 0000-0003-1940-2133 waddleh@usgs.gov","orcid":"https://orcid.org/0000-0003-1940-2133","contributorId":138953,"corporation":false,"usgs":true,"family":"Waddle","given":"J.","email":"waddleh@usgs.gov","middleInitial":"Hardin","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":761211,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dorazio, Robert M. bob_dorazio@usgs.gov","contributorId":140635,"corporation":false,"usgs":true,"family":"Dorazio","given":"Robert M.","email":"bob_dorazio@usgs.gov","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":761212,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walls, Susan C. 0000-0001-7391-9155 swalls@usgs.gov","orcid":"https://orcid.org/0000-0001-7391-9155","contributorId":138952,"corporation":false,"usgs":true,"family":"Walls","given":"Susan","email":"swalls@usgs.gov","middleInitial":"C.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":761213,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rice, Kenneth G. 0000-0001-8282-1088 krice@usgs.gov","orcid":"https://orcid.org/0000-0001-8282-1088","contributorId":117,"corporation":false,"usgs":true,"family":"Rice","given":"Kenneth","email":"krice@usgs.gov","middleInitial":"G.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":761214,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Beauchamp, Jeff","contributorId":175458,"corporation":false,"usgs":false,"family":"Beauchamp","given":"Jeff","email":"","affiliations":[],"preferred":false,"id":761215,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schuman, Melinda J.","contributorId":138955,"corporation":false,"usgs":false,"family":"Schuman","given":"Melinda J.","affiliations":[{"id":12592,"text":"Conservancy of Southwest Florida, Naples, FL","active":true,"usgs":false}],"preferred":false,"id":761216,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mazzotti, Frank J.","contributorId":90236,"corporation":false,"usgs":true,"family":"Mazzotti","given":"Frank J.","affiliations":[],"preferred":false,"id":761217,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70203092,"text":"70203092 - 2010 - Derivation of cat embryonic stem-like cells from in vitro-produced blastocysts on homologous and heterologous feeder cells","interactions":[],"lastModifiedDate":"2019-06-03T15:30:42","indexId":"70203092","displayToPublicDate":"2019-04-18T14:33:32","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3594,"text":"Theriogenology","active":true,"publicationSubtype":{"id":10}},"title":"Derivation of cat embryonic stem-like cells from in vitro-produced blastocysts on homologous and heterologous feeder cells","docAbstract":"The domestic cat is a focal mammalian species that is used as a model for developing assisted reproductive technologies for preserving endangered cats and for studying human diseases. The generation of stable characterized cat embryonic stem cells (ESC) lines to use as donor nuclei may help to improve the efficiency of interspecies somatic cell nuclear transfer for preserving endangered cats and allow the creation of knockout cell lines to generate knockout cats for studying function of specific genes related to human diseases. It will also enable the possibility of producing gametes in vitro from ESC of endangered cats. In the present study, we report the generation of cat embryonic stem-like (cESL) cells from blastocysts derived entirely in vitro. We generated 32 cESL cell lines from 331 in vitro derived blastocysts from which inner cell masses were isolated by immunosurgery or by a mechanical method. Inhibition of cat dermal fibroblast (CDF) proliferation after exposure to mitomycin-C was both dose and time dependent, where doses of 30 to 40 microg/mL for 5 h were most efficient. These dosages were higher than that required to inhibit cell proliferation of mouse fetal fibroblasts (MFF; 10 microg/mL for 2.5 h). Mitomycin-C did not significantly increase necrosis of cells from either species, and had an anti-proliferative effect at concentrations below cytotoxicity. A clear species-specific relationship between feeder layers and derivation of cESL cell lines was observed, where higher numbers of cESL cell lines were generated on homologous cat feeder layers (n = 26) than from those derived on heterologous mouse feeder layers (n = 6). Three cESL cell lines generated from immunosurgery and cultured on CDF maintained self-renewal and were morphologically undifferentiated for nine and twelve passages (69-102 days). These lines showed a tightly packed dome shaped morphology, exhibited alkaline phosphatase activity and immuno-expression of the pluripotent marker OCT-4 and surface marker SSEA-1. Primary colonies at P0 to P3 and cat blastocysts expressed transcription factors OCT-4, NANOG and SOX-2 and the proto-oncogene C-MYC. However, expression was at levels significantly lower than in vitro produced blastocysts. During culture, cESL colonies spontaneously differentiated into fibroblasts, cardiomyocytes, and embryoid bodies. Development of techniques to prevent differentiation of cESL cells will be essential for maintaining defined cell lines
","language":"English","publisher":"Elsevier Inc.","doi":"10.1016/j.theriogenology.2010.05.023","usgsCitation":"Gomez, M., Serrano, M., Earle Pope, C., Jenkins, J.A., Biancardi, M., Lopez, M., Dumas, C., Galiguis, J., and Dresser, B., 2010, Derivation of cat embryonic stem-like cells from in vitro-produced blastocysts on homologous and heterologous feeder cells: Theriogenology, v. 74, no. 4, p. 498-515, https://doi.org/10.1016/j.theriogenology.2010.05.023.","productDescription":"18 p.","startPage":"498","endPage":"515","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":363043,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"74","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gomez, M.C.","contributorId":67704,"corporation":false,"usgs":true,"family":"Gomez","given":"M.C.","email":"","affiliations":[],"preferred":false,"id":761140,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Serrano, M.A.","contributorId":214910,"corporation":false,"usgs":false,"family":"Serrano","given":"M.A.","email":"","affiliations":[],"preferred":false,"id":761141,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Earle Pope, C.","contributorId":69857,"corporation":false,"usgs":true,"family":"Earle Pope","given":"C.","email":"","affiliations":[],"preferred":false,"id":761142,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jenkins, Jill A. 0000-0002-5087-0894 jenkinsj@usgs.gov","orcid":"https://orcid.org/0000-0002-5087-0894","contributorId":2710,"corporation":false,"usgs":true,"family":"Jenkins","given":"Jill","email":"jenkinsj@usgs.gov","middleInitial":"A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":761143,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Biancardi, M.N.","contributorId":90610,"corporation":false,"usgs":true,"family":"Biancardi","given":"M.N.","email":"","affiliations":[],"preferred":false,"id":761144,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lopez, M.","contributorId":214911,"corporation":false,"usgs":false,"family":"Lopez","given":"M.","affiliations":[],"preferred":false,"id":761145,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dumas, C.","contributorId":103939,"corporation":false,"usgs":true,"family":"Dumas","given":"C.","email":"","affiliations":[],"preferred":false,"id":761146,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Galiguis, J.","contributorId":88228,"corporation":false,"usgs":true,"family":"Galiguis","given":"J.","email":"","affiliations":[],"preferred":false,"id":761147,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Dresser, B.L.","contributorId":56841,"corporation":false,"usgs":true,"family":"Dresser","given":"B.L.","email":"","affiliations":[],"preferred":false,"id":761148,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70200915,"text":"70200915 - 2010 - Climate-driven interannual variability in net ecosystem exchange in the Northern Great Plains grasslands","interactions":[],"lastModifiedDate":"2020-02-14T15:52:55","indexId":"70200915","displayToPublicDate":"2018-11-13T15:21:08","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3228,"text":"Rangeland Ecology and Management","onlineIssn":"1551-5028","printIssn":"1550-7424","active":true,"publicationSubtype":{"id":10}},"title":"Climate-driven interannual variability in net ecosystem exchange in the Northern Great Plains grasslands","docAbstract":"The Northern Great Plains grasslands respond differently under various climatic conditions; however, there have been no detailed studies investigating the interannual variability in carbon exchange across the entire Northern Great Plains grassland ecosystem. We developed a piecewise regression model to integrate flux tower data with remotely sensed data and mapped the 8-d and 500-m net ecosystem exchange (NEE) for the years from 2000 to 2006. We studied the interannual variability of NEE, characterized the interannual NEE difference in climatically different years, and identified the drought impact on NEE. The results showed that NEE was highly variable in space and time across the 7 yr. Specifically, NEE was consistently low (−35 to 322 g C·m−2·yr−1) with an average annual NEE of −2 ± 242 g C·m−2·yr−1 and a cumulative flux of −152 g C·m−2. The Northern Great Plains grassland was a weak source for carbon during 2000–2006 because of frequent droughts, which strongly affected the carbon balance, especially in the Western High Plains and Northwestern Great Plains. Comparison of the NEE map with a drought monitor map confirmed a substantial correlation between drought and carbon dynamics. If drought severity or frequency increases in the future, the Northern Great Plains grasslands may become an even greater carbon source.
","language":"English","publisher":"Elsevier","doi":"10.2111/08-232.1","usgsCitation":"Zhang, L., Wylie, B.K., Ji, L., Gilmanov, T.G., and Tieszen, L.L., 2010, Climate-driven interannual variability in net ecosystem exchange in the Northern Great Plains grasslands: Rangeland Ecology and Management, v. 63, no. 1, p. 40-50, https://doi.org/10.2111/08-232.1.","productDescription":"11 p.","startPage":"40","endPage":"50","ipdsId":"IP-009672","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":475452,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10150/642763","text":"External Repository"},{"id":359433,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Northern Great Plains grasslands","volume":"63","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5bed4275e4b0b3fc5cf91c98","contributors":{"authors":[{"text":"Zhang, Liping","contributorId":210614,"corporation":false,"usgs":false,"family":"Zhang","given":"Liping","email":"","affiliations":[],"preferred":false,"id":751250,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wylie, Bruce K. 0000-0002-7374-1083 wylie@usgs.gov","orcid":"https://orcid.org/0000-0002-7374-1083","contributorId":750,"corporation":false,"usgs":true,"family":"Wylie","given":"Bruce","email":"wylie@usgs.gov","middleInitial":"K.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":751266,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ji, Lei 0000-0002-6133-1036 lji@usgs.gov","orcid":"https://orcid.org/0000-0002-6133-1036","contributorId":139587,"corporation":false,"usgs":true,"family":"Ji","given":"Lei","email":"lji@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":751267,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gilmanov, Tagir G.","contributorId":82162,"corporation":false,"usgs":true,"family":"Gilmanov","given":"Tagir","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":751268,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tieszen, Larry L. tieszen@usgs.gov","contributorId":2831,"corporation":false,"usgs":true,"family":"Tieszen","given":"Larry","email":"tieszen@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":751269,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70173465,"text":"70173465 - 2010 - Using landscape limnology to classify freshwater ecosystems for multi-ecosystem management and conservation","interactions":[],"lastModifiedDate":"2016-06-17T14:19:28","indexId":"70173465","displayToPublicDate":"2015-11-11T10:30:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":997,"text":"BioScience","active":true,"publicationSubtype":{"id":10}},"title":"Using landscape limnology to classify freshwater ecosystems for multi-ecosystem management and conservation","docAbstract":"Governmental entities are responsible for managing and conserving large numbers of lake, river, and wetland ecosystems that can be addressed only rarely on a case-by-case basis. We present a system for predictive classification modeling, grounded in the theoretical foundation of landscape limnology, that creates a tractable number of ecosystem classes to which management actions may be tailored. We demonstrate our system by applying two types of predictive classification modeling approaches to develop nutrient criteria for eutrophication management in 1998 north temperate lakes. Our predictive classification system promotes the effective management of multiple ecosystems across broad geographic scales by explicitly connecting management and conservation goals to the classification modeling approach, considering multiple spatial scales as drivers of ecosystem dynamics, and acknowledging the hierarchical structure of freshwater ecosystems. Such a system is critical for adaptive management of complex mosaics of freshwater ecosystems and for balancing competing needs for ecosystem services in a changing world.
","language":"English","publisher":"American Institute of Biological Sciences","doi":"10.1525/bio.2010.60.6.8","usgsCitation":"Soranno, P.A., Cheruvelil, K.S., Webster, K.E., Bremigan, M.T., Wagner, T., and Stow, C., 2010, Using landscape limnology to classify freshwater ecosystems for multi-ecosystem management and conservation: BioScience, v. 60, no. 6, p. 440-454, https://doi.org/10.1525/bio.2010.60.6.8.","productDescription":"14 p.","startPage":"440","endPage":"454","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-017080","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":323916,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa, Maine, Michigan, Ohio, 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Cover variables appeared to be most important; e.g., vegetative vertical complexity had a strong positive relation with capture rates of mature forest birds and molting adults, as well as physical condition which supports a predator-avoidance hypothesis for habitat use. Basal area was a poor predictor of captures; residual trees near nets tended to depress capture rates. Food variables best explained capture rates for some species groups (e.g., early-successional insectivores and granivores, mature forest nesting adults, molting birds), but post-breeding habitat quality was based primarily on vegetative cover. Habitat use may depend on the bird's physical condition and molt status, and we found evidence for age-specific differences which may impact survival. Our study suggests important links between post-breeding habitat quality, molt status, physical condition, and bird age, and indicates a variety of response variables (relative abundance, survival, body condition) should be measured to assess avian habitat quality during the post-breeding period.
","language":"English","publisher":"The Wilson Ornithological Society","doi":"10.1676/09-050.1","usgsCitation":"McDermott, M., and Wood, P., 2010, Influence of cover and food resource variation on postbreeding bird use of timber harvests with residual canopy trees: Wilson Journal of Ornithology, v. 122, no. 3, p. 545-555, https://doi.org/10.1676/09-050.1.","productDescription":"10 p.","startPage":"545","endPage":"555","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-012054","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":324061,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"West 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