{"pageNumber":"1486","pageRowStart":"37125","pageSize":"25","recordCount":184617,"records":[{"id":70193597,"text":"70193597 - 2013 - Constraints on magma processes, subsurface conditions, and total volatile flux at Bezymianny Volcano in 2007–2010 from direct and remote volcanic gas measurements","interactions":[],"lastModifiedDate":"2019-12-21T08:50:42","indexId":"70193597","displayToPublicDate":"2013-08-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Constraints on magma processes, subsurface conditions, and total volatile flux at Bezymianny Volcano in 2007–2010 from direct and remote volcanic gas measurements","docAbstract":"

Direct and remote measurements of volcanic gas composition, SO2 flux, and eruptive SO2 mass from Bezymianny Volcano were acquired between July 2007 and July 2010. Chemical composition of fumarolic gases, plume SO2 flux from ground and air-based ultraviolet remote sensing (FLYSPEC), and eruptive SO2 mass from Ozone Monitoring Instrument (OMI) satellite observations were used along with eruption timing to elucidate magma processes and subsurface conditions, and to constrain total volatile flux. Bezymianny Volcano had five explosive magmatic eruptions between May 2007 and June 2010. The most complete volcanic gas datasets were acquired for the October 2007, December 2009, and May 2010 eruptions. Gas measurements collected prior to the October 2007 eruption have a relatively high ratio of H2O/CO2 (81.2), a moderate ratio of CO2/S (5.47), and a low ratio of S/HCl (0.338), along with moderate SO2 and CO2 fluxes of 280 and 980 t/d, respectively, and high H2O and HCl fluxes of ~ 45,000 and ~ 440 t/d, respectively. These results suggest degassing of shallow magma (consistent with observations of lava extrusion) along with potential minor degassing of a deeper magma source. Gas measurements collected prior to the December 2009 eruption are characterized by relatively low H2O/CO2 (4.13), moderate CO2/S (6.84), and high S/HCl (18.7) ratios, along with moderate SO2 and CO2 fluxes of ~ 220 and ~ 1000 t/d, respectively, and low H2O and HCl fluxes of ~ 1700 and ~ 7 t/d, respectively. These trends are consistent with degassing of a deeper magma source. Fumarole samples collected ~ 1.5 months following the May 2010 eruption are characterized by high H2O/CO2 (63.0), low CO2/S (0.986), and moderate S/HCl (6.09) ratios. These data are consistent with degassing of a shallow, volatile-rich magma source, likely related to the May eruption. Passive and eruptive SO2 measurements are used to calculate a total annual SO2 mass of 109 kt emitted in 2007, with passive emissions comprising ~ 87–95% of the total. Total annual volatile masses for the study period are estimated to range from 1.1 × 106 to 18 × 106 t/year. Annual CO2 masses are ~ 8 to 40 times larger than can be explained by degassing of dissolved CO2 within eruptive magma, suggesting that the eruptive magma contained a significant quantity of exsolved volatiles sourced either from the eruptive melt or unerupted magma at depth. Variable total volatile fluxes ranging from ~ 3000 t/d in 2009 to ~ 49,000 t/d in 2007 are attributed to variations in the depth of gas exsolution and separation from the melt under open-system degassing conditions. We propose that exsolved volatiles are quickly transported to the surface from ascending magma via permeable flow through a bubble and/or fracture network within the conduit and thus retain their equilibrium composition at the time of segregation from melt. The composition of surface CO2 and H2O emissions from 2007 to 2009 are compared with modeled exsolved fluid compositions for a magma body ascending from entrapment depths to estimate depth of fluid exsolution and separation from the melt. We find that at the time of sample collection magma had already begun ascent from the mid-crustal storage region and was located at maximum depths of ~ 3.7 km in August 2007, approximately 2 months prior to the next magmatic eruption, and ~ 4.6 km in July of 2009 approximately five months prior to the next magmatic eruption. These findings suggest that the exsolved gas composition at Bezymianny Volcano may be used to detect magma ascent prior to eruption.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2012.10.015","usgsCitation":"Lopez, T., Ushakov, S., Izbekov, P., Tassi, F., Cahill, C., Neill, O., and Werner, C.A., 2013, Constraints on magma processes, subsurface conditions, and total volatile flux at Bezymianny Volcano in 2007–2010 from direct and remote volcanic gas measurements: Journal of Volcanology and Geothermal Research, v. 263, p. 92-107, https://doi.org/10.1016/j.jvolgeores.2012.10.015.","productDescription":"16 p.","startPage":"92","endPage":"107","ipdsId":"IP-042711","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":473629,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.openaccessrepository.it/record/25641","text":"Publisher Index Page"},{"id":348148,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Russia","otherGeospatial":"Bezymianny Volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 159.521484375,\n 55.178867663281984\n ],\n [\n 161.60888671875,\n 55.178867663281984\n ],\n [\n 161.60888671875,\n 57.028773851491124\n ],\n [\n 159.521484375,\n 57.028773851491124\n ],\n [\n 159.521484375,\n 55.178867663281984\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"263","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59fc2eace4b0531197b27fbb","contributors":{"authors":[{"text":"Lopez, Taryn","contributorId":146828,"corporation":false,"usgs":false,"family":"Lopez","given":"Taryn","affiliations":[{"id":16753,"text":"University of Alaska Geophysical Institute","active":true,"usgs":false}],"preferred":false,"id":719977,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ushakov, Sergey","contributorId":12135,"corporation":false,"usgs":true,"family":"Ushakov","given":"Sergey","email":"","affiliations":[],"preferred":false,"id":719978,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Izbekov, Pavel","contributorId":85950,"corporation":false,"usgs":true,"family":"Izbekov","given":"Pavel","affiliations":[],"preferred":false,"id":719979,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tassi, Franco","contributorId":95776,"corporation":false,"usgs":true,"family":"Tassi","given":"Franco","email":"","affiliations":[],"preferred":false,"id":719980,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cahill, Cathy","contributorId":199768,"corporation":false,"usgs":false,"family":"Cahill","given":"Cathy","email":"","affiliations":[],"preferred":false,"id":719981,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Neill, Owen","contributorId":199769,"corporation":false,"usgs":false,"family":"Neill","given":"Owen","affiliations":[],"preferred":false,"id":719982,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Werner, Cynthia A. cwerner@usgs.gov","contributorId":2540,"corporation":false,"usgs":true,"family":"Werner","given":"Cynthia","email":"cwerner@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":719983,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70187700,"text":"70187700 - 2013 - Modeling spatially explicit fire impact on gross primary production in interior Alaska using satellite images coupled with eddy covariance","interactions":[],"lastModifiedDate":"2017-05-15T14:37:25","indexId":"70187700","displayToPublicDate":"2013-08-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Modeling spatially explicit fire impact on gross primary production in interior Alaska using satellite images coupled with eddy covariance","docAbstract":"

In interior Alaska, wildfires change gross primary production (GPP) after the initial disturbance. The impact of fires on GPP is spatially heterogeneous, which is difficult to evaluate by limited point-based comparisons or is insufficient to assess by satellite vegetation index. The direct prefire and postfire comparison is widely used, but the recovery identification may become biased due to interannual climate variability. The objective of this study is to propose a method to quantify the spatially explicit GPP change caused by fires and succession. We collected three Landsat images acquired on 13 July 2004, 5 August 2004, and 6 September 2004 to examine the GPP recovery of burned area from 1987 to 2004. A prefire Landsat image acquired in 1986 was used to reconstruct satellite images assuming that the fires of 1987–2004 had not occurred. We used a light-use efficiency model to estimate the GPP. This model was driven by maximum light-use efficiency (Emax) and fraction of photosynthetically active radiation absorbed by vegetation (FPAR). We applied this model to two scenarios (i.e., an actual postfire scenario and an assuming-no-fire scenario), where the changes in Emax and FPAR were taken into account. The changes in Emax were represented by the change in land cover of evergreen needleleaf forest, deciduous broadleaf forest, and shrub/grass mixed, whose Emax was determined from three fire chronosequence flux towers as 1.1556, 1.3336, and 0.5098 gC/MJ PAR. The changes in FPAR were inferred from NDVI change between the actual postfire NDVI and the reconstructed NDVI. After GPP quantification for July, August, and September 2004, we calculated the difference between the two scenarios in absolute and percent GPP changes. Our results showed rapid recovery of GPP post-fire with a 24% recovery immediately after burning and 43% one year later. For the fire scars with an age range of 2–17 years, the recovery rate ranged from 54% to 95%. In addition to the averaging, our approach further revealed the spatial heterogeneity of fire impact on GPP, allowing one to examine the spatially explicit GPP change caused by fires.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2013.04.003","usgsCitation":"Huang, S., Liu, H., Dahal, D., Jin, S., Welp, L.R., Liu, J., and Liu, S., 2013, Modeling spatially explicit fire impact on gross primary production in interior Alaska using satellite images coupled with eddy covariance: Remote Sensing of Environment, v. 135, p. 178-188, https://doi.org/10.1016/j.rse.2013.04.003.","productDescription":"11 p.","startPage":"178","endPage":"188","ipdsId":"IP-045013","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":341315,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"135","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"591abe3ae4b0a7fdb43c8c03","contributors":{"authors":[{"text":"Huang, Shengli shuang@usgs.gov","contributorId":1926,"corporation":false,"usgs":true,"family":"Huang","given":"Shengli","email":"shuang@usgs.gov","affiliations":[],"preferred":true,"id":695166,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liu, Heping","contributorId":117909,"corporation":false,"usgs":true,"family":"Liu","given":"Heping","affiliations":[],"preferred":false,"id":695170,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dahal, Devendra 0000-0001-9594-1249 ddahal@usgs.gov","orcid":"https://orcid.org/0000-0001-9594-1249","contributorId":5622,"corporation":false,"usgs":true,"family":"Dahal","given":"Devendra","email":"ddahal@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":695169,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jin, Suming 0000-0001-9919-8077 sjin@usgs.gov","orcid":"https://orcid.org/0000-0001-9919-8077","contributorId":4397,"corporation":false,"usgs":true,"family":"Jin","given":"Suming","email":"sjin@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":695167,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Welp, Lisa R.","contributorId":192025,"corporation":false,"usgs":false,"family":"Welp","given":"Lisa","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":695171,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Liu, Jinxun 0000-0003-0561-8988 jxliu@usgs.gov","orcid":"https://orcid.org/0000-0003-0561-8988","contributorId":3414,"corporation":false,"usgs":true,"family":"Liu","given":"Jinxun","email":"jxliu@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":695165,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Liu, Shuguang 0000-0002-6027-3479 sliu@usgs.gov","orcid":"https://orcid.org/0000-0002-6027-3479","contributorId":147403,"corporation":false,"usgs":true,"family":"Liu","given":"Shuguang","email":"sliu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":695168,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70173475,"text":"70173475 - 2013 - Air - water temperature relationships in the trout streams of southeastern Minnesota’s carbonate - sandstone landscape","interactions":[],"lastModifiedDate":"2016-06-16T16:20:51","indexId":"70173475","displayToPublicDate":"2013-08-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Air - water temperature relationships in the trout streams of southeastern Minnesota’s carbonate - sandstone landscape","docAbstract":"

Carbonate-sandstone geology in southeastern Minnesota creates a heterogeneous landscape of springs, seeps, and sinkholes that supply groundwater into streams. Air temperatures are effective predictors of water temperature in surface-water dominated streams. However, no published work investigates the relationship between air and water temperatures in groundwater-fed streams (GWFS) across watersheds. We used simple linear regressions to examine weekly air-water temperature relationships for 40 GWFS in southeastern Minnesota. A 40-stream, composite linear regression model has a slope of 0.38, an intercept of 6.63, and R2 of 0.83. The regression models for GWFS have lower slopes and higher intercepts in comparison to surface-water dominated streams. Regression models for streams with high R2 values offer promise for use as predictive tools for future climate conditions. Climate change is expected to alter the thermal regime of groundwater-fed systems, but will do so at a slower rate than surface-water dominated systems. A regression model of intercept vs. slope can be used to identify streams for which water temperatures are more meteorologically than groundwater controlled, and thus more vulnerable to climate change. Such relationships can be used to guide restoration vs. management strategies to protect trout streams.

","language":"English","publisher":"Wiley","doi":"10.1111/jawr.12046","usgsCitation":"Krider, L.A., Magner, J.A., Perry, J., Vondracek, B.C., and Ferrington, L.C., 2013, Air - water temperature relationships in the trout streams of southeastern Minnesota’s carbonate - sandstone landscape: Journal of the American Water Resources Association, v. 49, no. 4, p. 896-907, https://doi.org/10.1111/jawr.12046.","productDescription":"12 p.","startPage":"896","endPage":"907","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-036165","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":323823,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -92.01599121093749,\n 44.38669150215206\n ],\n [\n -92.9718017578125,\n 44.35920579433503\n ],\n [\n -93.1585693359375,\n 44.24126379833979\n ],\n [\n -93.0706787109375,\n 43.93350594453702\n ],\n [\n -92.3895263671875,\n 43.91372326852401\n ],\n [\n -92.1478271484375,\n 43.69965122967144\n ],\n [\n -92.0379638671875,\n 43.492782808225\n ],\n [\n -91.241455078125,\n 43.492782808225\n ],\n [\n -91.263427734375,\n 43.74728909225906\n ],\n [\n -91.38427734374999,\n 43.96514454266273\n ],\n [\n -91.6644287109375,\n 44.071800467511565\n ],\n [\n -91.8841552734375,\n 44.22158376545796\n ],\n [\n -91.9500732421875,\n 44.37098696297173\n ],\n [\n -92.01599121093749,\n 44.38669150215206\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"49","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5763cdace4b07657d19ba748","contributors":{"authors":[{"text":"Krider, Lori A.","contributorId":172050,"corporation":false,"usgs":false,"family":"Krider","given":"Lori","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":639450,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Magner, Joseph A.","contributorId":172051,"corporation":false,"usgs":false,"family":"Magner","given":"Joseph","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":639451,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Perry, Jim","contributorId":111771,"corporation":false,"usgs":true,"family":"Perry","given":"Jim","affiliations":[],"preferred":false,"id":639452,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vondracek, Bruce C. bcv@usgs.gov","contributorId":904,"corporation":false,"usgs":true,"family":"Vondracek","given":"Bruce","email":"bcv@usgs.gov","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":637177,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ferrington, Leonard C. Jr.","contributorId":172049,"corporation":false,"usgs":false,"family":"Ferrington","given":"Leonard","suffix":"Jr.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":639453,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70137541,"text":"70137541 - 2013 - Antibodies to H5 subtype avian influenza virus and Japanese encephalitis virus in northern pintails (Anas acuta) sampled in Japan","interactions":[],"lastModifiedDate":"2020-12-31T16:12:20.973382","indexId":"70137541","displayToPublicDate":"2013-08-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3847,"text":"Japanese Journal of Veterinary Research","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Antibodies to H5 subtype avian influenza virus and Japanese encephalitis virus in northern pintails (Anas acuta) sampled in Japan","title":"Antibodies to H5 subtype avian influenza virus and Japanese encephalitis virus in northern pintails (Anas acuta) sampled in Japan","docAbstract":"

Blood samples from 105 northern pintails (Anas acuta) captured on Hokkaido, Japan were tested for antibodies to avian influenza virus (AIV), Japanese encephalitis virus (JEV), and West Nile virus (WNV) to assess possible involvement of this species in the spread of economically important and potentially zoonotic pathogens. Antibodies to AIV were detected in 64 of 105 samples (61%). Of the 64 positives, 95% and 81% inhibited agglutination of two different H5 AIV antigens (H5N1 and H5N9), respectively. Antibodies to JEV and WNV were detected in five (5%) and none of the samples, respectively. Results provide evidence for prior exposure of migrating northern pintails to H5 AIV which couldhave implications for viral shedding and disease occurrence. Results also provide evidence for limited involvement of this species in the transmission and spread of flaviviruses during spring migration.

","language":"English","publisher":"Graduate School of Veterinary Medicine, Hokkaido University","publisherLocation":"Sapporo, Japan","doi":"10.14943/jjvr.61.3.117","usgsCitation":"Ramey, A.M., Spackman, E., Yeh, J., Fujita, G., Konishi, K., Uchida, K., Reed, J.A., Wilcox, B.R., Brown, J.D., and Stallknecht, D.E., 2013, Antibodies to H5 subtype avian influenza virus and Japanese encephalitis virus in northern pintails (Anas acuta) sampled in Japan: Japanese Journal of Veterinary Research, v. 61, no. 3, p. 117-123, https://doi.org/10.14943/jjvr.61.3.117.","productDescription":"8 p.","startPage":"117","endPage":"123","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-045726","costCenters":[{"id":117,"text":"Alaska Science Center Biology 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D.","contributorId":87838,"corporation":false,"usgs":false,"family":"Brown","given":"Justin","email":"","middleInitial":"D.","affiliations":[{"id":7125,"text":"Southeastern Cooperative Wildlife Disease Study, College of Veterinary Medicine, University of Georgia, Athens, GA 30602, USA.","active":true,"usgs":false}],"preferred":false,"id":542665,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Stallknecht, David E.","contributorId":14323,"corporation":false,"usgs":false,"family":"Stallknecht","given":"David","email":"","middleInitial":"E.","affiliations":[{"id":7125,"text":"Southeastern Cooperative Wildlife Disease Study, College of Veterinary Medicine, University of Georgia, Athens, GA 30602, USA.","active":true,"usgs":false}],"preferred":false,"id":542666,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70046371,"text":"70046371 - 2013 - Estimating age ratios and size of Pacific walrus herds on coastal haulouts using video imaging","interactions":[],"lastModifiedDate":"2018-06-16T17:48:39","indexId":"70046371","displayToPublicDate":"2013-07-31T21:52:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Estimating age ratios and size of Pacific walrus herds on coastal haulouts using video imaging","docAbstract":"During Arctic summers, sea ice provides resting habitat for Pacific walruses as it drifts over foraging areas in the eastern Chukchi Sea. Climate-driven reductions in sea ice have recently created ice-free conditions in the Chukchi Sea by late summer causing walruses to rest at coastal haulouts along the Chukotka and Alaska coasts, which provides an opportunity to study walruses at relatively accessible locations. Walrus age can be determined from the ratio of tusk length to snout dimensions. We evaluated use of images obtained from a gyro-stabilized video system mounted on a helicopter flying at high altitudes (to avoid disturbance) to classify the sex and age of walruses hauled out on Alaska beaches in 2010–2011. We were able to classify 95% of randomly selected individuals to either an 8- or 3-category age class, and we found measurement-based age classifications were more repeatable than visual classifications when using images presenting the correct head profile. Herd density at coastal haulouts averaged 0.88 walruses/m2 (std. err. = 0.02), herd size ranged from 8,300 to 19,400 (CV 0.03–0.06) and we documented ~30,000 animals along ~1 km of beach in 2011. Within the herds, dependent walruses (0–2 yr-olds) tended to be located closer to water, and this tendency became more pronounced as the herd spent more time on the beach. Therefore, unbiased estimation of herd age-ratios will require a sampling design that allows for spatial and temporal structuring. In addition, randomly sampling walruses available at the edge of the herd for other purposes (e.g., tagging, biopsying) will not sample walruses with an age structure representative of the herd. Sea ice losses are projected to continue, and population age structure data collected with aerial videography at coastal haulouts may provide demographic information vital to ongoing efforts to understand effects of climate change on this species.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0069806","usgsCitation":"Monson, D., Udevitz, M.S., and Jay, C.V., 2013, Estimating age ratios and size of Pacific walrus herds on coastal haulouts using video imaging: PLoS ONE, v. 8, no. 7, https://doi.org/10.1371/journal.pone.0069806.","ipdsId":"IP-045689","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":473631,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0069806","text":"Publisher Index Page"},{"id":277155,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277133,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0069806"}],"country":"United States","volume":"8","issue":"7","noUsgsAuthors":false,"publicationDate":"2013-07-31","publicationStatus":"PW","scienceBaseUri":"52206d61e4b0645fc25e8c2d","contributors":{"authors":[{"text":"Monson, Daniel H. 0000-0002-4593-5673 dmonson@usgs.gov","orcid":"https://orcid.org/0000-0002-4593-5673","contributorId":140480,"corporation":false,"usgs":true,"family":"Monson","given":"Daniel H.","email":"dmonson@usgs.gov","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":false,"id":479564,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Udevitz, Mark S. 0000-0003-4659-138X mudevitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4659-138X","contributorId":3189,"corporation":false,"usgs":true,"family":"Udevitz","given":"Mark","email":"mudevitz@usgs.gov","middleInitial":"S.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":479562,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jay, Chadwick V. 0000-0002-9559-2189 cjay@usgs.gov","orcid":"https://orcid.org/0000-0002-9559-2189","contributorId":192736,"corporation":false,"usgs":true,"family":"Jay","given":"Chadwick","email":"cjay@usgs.gov","middleInitial":"V.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":479563,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70047326,"text":"fs20133055 - 2013 - Reproductive health of yellow perch, Perca flavescens, in Chesapeake Bay Tributaries","interactions":[],"lastModifiedDate":"2024-03-04T18:00:14.444595","indexId":"fs20133055","displayToPublicDate":"2013-07-31T15:57:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-3055","title":"Reproductive health of yellow perch, Perca flavescens, in Chesapeake Bay Tributaries","docAbstract":"Yellow perch live in creeks, rivers, ponds, lakes, and estuaries across the central and eastern United States and Canada. In Chesapeake Bay, they tolerate salinities up to one-third that of seawater. The adults reside in the brackish waters of the bay’s tributaries and migrate upstream to spawn. Yellow perch are eagerly sought by recreational fishermen for their excellent taste and, because their late winter spawning runs are the earliest of the year, they are regarded as a harbinger of spring. Yellow perch also support a small but valuable, tightly regulated commercial fishery in the part of Chesapeake Bay that lies in Maryland.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133055","usgsCitation":"Blazer, V., Pinkney, A., and Uphoff, J.H., 2013, Reproductive health of yellow perch, Perca flavescens, in Chesapeake Bay Tributaries: U.S. Geological Survey Fact Sheet 2013-3055, 2 p., https://doi.org/10.3133/fs20133055.","productDescription":"2 p.","numberOfPages":"2","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":275652,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133055.jpg"},{"id":275651,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3055/pdf/fs2013-3055.pdf"},{"id":275650,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3055/"}],"country":"United States","state":"Maryl","otherGeospatial":"Chesapeake Bay","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -77.6224,37.3195 ], [ -77.6224,39.7196 ], [ -74.7564,39.7196 ], [ -74.7564,37.3195 ], [ -77.6224,37.3195 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51fa2c80e4b076c3a8d82627","contributors":{"authors":[{"text":"Blazer, Vicki 0000-0001-6647-9614 vblazer@usgs.gov","orcid":"https://orcid.org/0000-0001-6647-9614","contributorId":792,"corporation":false,"usgs":true,"family":"Blazer","given":"Vicki","email":"vblazer@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":481713,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pinkney, A.E.","contributorId":87501,"corporation":false,"usgs":true,"family":"Pinkney","given":"A.E.","affiliations":[],"preferred":false,"id":481715,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Uphoff, James H.","contributorId":74656,"corporation":false,"usgs":true,"family":"Uphoff","given":"James","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":481714,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70047254,"text":"ofr20131178 - 2013 - Significance of headwater streams and perennial springs in ecological monitoring in Shenandoah National Park","interactions":[],"lastModifiedDate":"2013-07-31T15:50:02","indexId":"ofr20131178","displayToPublicDate":"2013-07-31T15:43:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1178","title":"Significance of headwater streams and perennial springs in ecological monitoring in Shenandoah National Park","docAbstract":"Shenandoah National Park has been monitoring water chemistry and benthic macroinvertebrates in stream ecosystems since 1979. These monitoring efforts were designed to assess the status and trends in stream condition associated with atmospheric deposition (acid rain) and changes in forest health due to gypsy moth infestations. The primary objective of the present research was to determine whether the current long-term macroinvertebrate and water-quality monitoring program in Shenandoah National Park was failing to capture important information on the status and trends in stream condition by not sufficiently representing smaller, headwater streams. The current benthic-macroinvertebrate and water-chemistry sampling designs do not include routine collection of data from streams with contributing watershed areas smaller than 100 hectares, even though these small streams represent the overwhelming proportion of total stream length in the park. In this study, we sampled headwater sites, including headwater stream reaches (contributing watershed area approximately 100 hectares (ha) and perennial springs, in the park for aquatic macroinvertebrates and water chemistry and compared the results with current and historical data collected at long-term ecological monitoring (LTEM) sites on larger streams routinely sampled as part of ongoing monitoring efforts. The larger purpose of the study was to inform ongoing efforts by park managers to evaluate the effectiveness and efficiency of the current aquatic monitoring program in light of other potential stressors (for example, climate change) and limited resources. Our results revealed several important findings that could influence management decisions regarding long-term monitoring of park streams. First, we found that biological indicators of stream condition at headwater sites and perennial springs generally were more indicative of lower habitat quality and were more spatially variable than those observed at sites on routinely monitored larger streams. We hypothesized that poorer stream condition observed in smaller streams was due to stream drying that occurs more frequently in headwater areas. We also found that biological and water-chemistry measures responded differently to landscape drivers. Variation in most biological endpoints was driven primarily by stream size and was only secondarily associated with bedrock geology. In contrast, water chemistry showed essentially the opposite pattern, with underlying geology explaining much of the variation and stream size being of secondary importance. Therefore, expanding the LTEM program to include headwater areas would yield substantially different biological information, whereas broad inferences regarding spatial patterns in water chemistry would probably not change. Although significant differences in community composition were observed among streams of different sizes, no taxa were unique to headwater sites. All taxa collected at the 45 headwater sites also had been collected at one or more LTEM sites during one or more years. This observation indicates that headwater sites in the park may be structured by biotic nestedness; consequently, focusing management efforts on preserving the species pool at the larger LTEM sites would likely result in the protection of most taxa parkwide. Finally, linkages (correlations) between water chemistry and biological measures of stream condition were signficantly stronger when assessed at the LTEM sites than when assessed at the springs or headwater sites, indicating that conditions at downstream sites may be better indicators of water-quality trends.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131178","collaboration":"Prepared in Cooperation with the National Park Service","usgsCitation":"Snyder, C.D., Webb, J., Young, J.A., and Johnson, Z.B., 2013, Significance of headwater streams and perennial springs in ecological monitoring in Shenandoah National Park: U.S. Geological Survey Open-File Report 2013-1178, v, 46 p., https://doi.org/10.3133/ofr20131178.","productDescription":"v, 46 p.","numberOfPages":"51","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-049033","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":275649,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131178.gif"},{"id":275648,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1178/pdf/ofr2013-1178.pdf"},{"id":275647,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1178/"}],"country":"United States","state":"Virginia","otherGeospatial":"Shenandoah National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -79,8.333333333333334E-4 ], [ -79,8.333333333333334E-4 ], [ -78,8.333333333333334E-4 ], [ -78,8.333333333333334E-4 ], [ -79,8.333333333333334E-4 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51fa2c80e4b076c3a8d8262f","contributors":{"authors":[{"text":"Snyder, Craig D. 0000-0002-3448-597X csnyder@usgs.gov","orcid":"https://orcid.org/0000-0002-3448-597X","contributorId":2568,"corporation":false,"usgs":true,"family":"Snyder","given":"Craig","email":"csnyder@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":481529,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Webb, James R.","contributorId":74431,"corporation":false,"usgs":true,"family":"Webb","given":"James R.","affiliations":[],"preferred":false,"id":481532,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Young, John A. 0000-0002-4500-3673 jyoung@usgs.gov","orcid":"https://orcid.org/0000-0002-4500-3673","contributorId":3777,"corporation":false,"usgs":true,"family":"Young","given":"John","email":"jyoung@usgs.gov","middleInitial":"A.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":481530,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Zane B.","contributorId":21441,"corporation":false,"usgs":true,"family":"Johnson","given":"Zane","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":481531,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70047325,"text":"fs20133066 - 2013 - Relationships between the health of Alaska Native communities and our environment -- phase 1, exploring and communicating","interactions":[],"lastModifiedDate":"2013-07-31T15:48:37","indexId":"fs20133066","displayToPublicDate":"2013-07-31T15:43:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-3066","title":"Relationships between the health of Alaska Native communities and our environment -- phase 1, exploring and communicating","docAbstract":"Alaska Natives depend on local natural resources for nutritional and, for many, spiritual health. As a result, public health in Alaska is strongly influenced by the relationship between people and their surrounding physical, chemical, and biological environments. Alaska is vast with diverse wildlife and plant communities that are valued as subsistence foods (fig. 1). These resources are supported by equally diverse ecosystems and their underpinning landforms and geologies. The U.S. Geological Survey (USGS) is attempting to integrate physical, chemical, and biological information to better describe current (2013) environments and project scenarios for the future. Integrating ecological data into the public health dialogue is challenging for the more than 280 rural communities of Alaska. This fact sheet reviews a recent USGS effort, the Geographic Information System (GIS) Native Health Project, to better incorporate scientific information into such dialogue.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133066","usgsCitation":"Smith, D., 2013, Relationships between the health of Alaska Native communities and our environment -- phase 1, exploring and communicating: U.S. Geological Survey Fact Sheet 2013-3066, 4 p., https://doi.org/10.3133/fs20133066.","productDescription":"4 p.","numberOfPages":"4","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":275646,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133066.bmp"},{"id":275645,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3066/"},{"id":275644,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3066/pdf/fs20133066.pdf"}],"country":"United States","state":"Alaska","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 172.45,51.21 ], [ 172.45,71.39 ], [ -129.99,71.39 ], [ -129.99,51.21 ], [ 172.45,51.21 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51fa2c80e4b076c3a8d82623","contributors":{"authors":[{"text":"Smith, Durelle","contributorId":24258,"corporation":false,"usgs":true,"family":"Smith","given":"Durelle","email":"","affiliations":[],"preferred":false,"id":481712,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70199861,"text":"70199861 - 2013 - Fine-scale hydrologic modeling for regional landscape applications: the California Basin Characterization Model development and performance","interactions":[],"lastModifiedDate":"2018-10-01T15:22:10","indexId":"70199861","displayToPublicDate":"2013-07-31T15:22:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1460,"text":"Ecological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Fine-scale hydrologic modeling for regional landscape applications: the California Basin Characterization Model development and performance","docAbstract":"

Introduction

Resource managers need spatially explicit models of hydrologic response to changes in key climatic drivers across variable landscape conditions. We demonstrate the utility of a Basin Characterization Model for California (CA-BCM) to integrate high-resolution data on physical watershed characteristics with historical or projected climate data to predict watershed-specific hydrologic responses.

Methods

The CA-BCM applies a monthly regional water-balance model to simulate hydrologic responses to climate at the spatial resolution of a 270-m grid. The model has been calibrated using a total of 159 relatively unimpaired watersheds for the California region.

Results

As a result of calibration, predicted basin discharge closely matches measured data for validation watersheds. The CA-BCM recharge and runoff estimates, combined with estimates of snowpack and timing of snowmelt, provide a basis for assessing variations in water availability. Another important output variable, climatic water deficit, integrates the combined effects of temperature and rainfall on site-specific soil moisture, a factor that plants may respond to more directly than air temperature and precipitation alone. Model outputs are calculated for each grid cell, allowing results to be summarized for a variety of planning units including hillslopes, watersheds, ecoregions, or political boundaries.

Conclusions

The ability to confidently calculate hydrologic outputs at fine spatial scales provides a new suite of hydrologic predictor variables that can be used for a variety of purposes, such as projections of changes in water availability, environmental demand, or distribution of plants and habitats. Here we present the framework of the CA-BCM model for the California hydrologic region, a test of model performance on 159 watersheds, summary results for the region for the 1981–2010 time period, and changes since the 1951–1980 time period.

","language":"English","publisher":"Springer","doi":"10.1186/2192-1709-2-25","usgsCitation":"Flint, L.E., Flint, A.L., Thorne, J.H., and Boynton, R., 2013, Fine-scale hydrologic modeling for regional landscape applications: the California Basin Characterization Model development and performance: Ecological Processes, v. 2, p. 1-21, https://doi.org/10.1186/2192-1709-2-25.","productDescription":"Article 25; 21 p.","startPage":"1","endPage":"21","ipdsId":"IP-033531","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":473632,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/2192-1709-2-25","text":"Publisher Index Page"},{"id":357985,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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\"}}]}","volume":"2","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2013-07-31","publicationStatus":"PW","scienceBaseUri":"5bc03a2ee4b0fc368eb53b29","contributors":{"authors":[{"text":"Flint, Lorraine E. 0000-0002-7868-441X lflint@usgs.gov","orcid":"https://orcid.org/0000-0002-7868-441X","contributorId":1184,"corporation":false,"usgs":true,"family":"Flint","given":"Lorraine","email":"lflint@usgs.gov","middleInitial":"E.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":746950,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flint, Alan L. 0000-0002-5118-751X aflint@usgs.gov","orcid":"https://orcid.org/0000-0002-5118-751X","contributorId":1492,"corporation":false,"usgs":true,"family":"Flint","given":"Alan","email":"aflint@usgs.gov","middleInitial":"L.","affiliations":[{"id":657,"text":"Western Geographic Science 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Florida","interactions":[],"lastModifiedDate":"2022-03-22T13:14:01.550005","indexId":"70047316","displayToPublicDate":"2013-07-31T13:02:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2220,"text":"Journal of Coastal Research","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Possible return of Acropora cervicornis at Pulaski Shoal, Dry Tortugas National Park, Florida","title":"Possible return of Acropora cervicornis at Pulaski Shoal, Dry Tortugas National Park, Florida","docAbstract":"

Seabed classification is essential to assessing environmental associations and physical status in coral reef ecosystems. At Pulaski Shoal in Dry Tortugas National Park, Florida, nearly continuous underwater-image coverage was acquired in 15.5 hours in 2009 along 70.2 km of transect lines spanning ~0.2 km2. The Along-Track Reef-Imaging System (ATRIS), a boat-based, high-speed, digital imaging system, was used. ATRIS-derived benthic classes were merged with a QuickBird satellite image to create a habitat map that defines areas of senile coral reef, carbonate sand, seagrasses, and coral rubble. This atypical approach of starting with extensive, high-resolution in situ imagery and extrapolating between transect lines using satellite imagery leverages the strengths of each remote-sensing modality. The ATRIS images also captured the spatial distribution of two species once common on now-degraded Florida-Caribbean coral reefs: the stony staghorn coral Acropora cervicornis, a designated threatened species, and the long-spined urchin Diadema antillarum. This article documents the utility of ATRIS imagery for quantifying number and estimating age of A. cervicornis colonies (n = 400, age range, 5–11 y) since the severe hypothermic die-off in the Dry Tortugas in 1976–77. This study is also the first to document the largest number of new colonies of A. cervicornis tabulated in an area of the park where coral-monitoring stations maintained by the Fish and Wildlife Research Institute have not been established. The elevated numbers provide an updated baseline for tracking revival of this species at Pulaski Shoal.

","language":"English","publisher":"Coastal Education and Research Foundation","doi":"10.2112/JCOASTRES-D-12-00078.1","usgsCitation":"Lidz, B.H., and Zawada, D., 2013, Possible return of Acropora cervicornis at Pulaski Shoal, Dry Tortugas National Park, Florida: Journal of Coastal Research, v. 29, no. 2, p. 256-271, https://doi.org/10.2112/JCOASTRES-D-12-00078.1.","productDescription":"16 p.; 2 Data Releases","startPage":"256","endPage":"271","numberOfPages":"16","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-035169","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":275629,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":337126,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://coastal.er.usgs.gov/data-release/doi-F77942T0/","text":"Distribution of Benthic Habitats at Crocker Reef, Florida, 2014"},{"id":337227,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F7SF2T9Z","text":"ATRIS Seafloor Images – Crocker Reef, Florida, 2014"}],"country":"United States","state":"Florida","otherGeospatial":"Dry Tortugas National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -82.97252655029295,\n 24.58459276519208\n ],\n [\n -82.76790618896484,\n 24.58459276519208\n ],\n [\n -82.76790618896484,\n 24.726251180537773\n ],\n [\n -82.97252655029295,\n 24.726251180537773\n ],\n [\n -82.97252655029295,\n 24.58459276519208\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"29","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51fa2c7fe4b076c3a8d8261f","contributors":{"authors":[{"text":"Lidz, Barbara H. blidz@usgs.gov","contributorId":2475,"corporation":false,"usgs":true,"family":"Lidz","given":"Barbara","email":"blidz@usgs.gov","middleInitial":"H.","affiliations":[],"preferred":true,"id":481704,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zawada, David G. 0000-0003-4547-4878 dzawada@usgs.gov","orcid":"https://orcid.org/0000-0003-4547-4878","contributorId":1898,"corporation":false,"usgs":true,"family":"Zawada","given":"David G.","email":"dzawada@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":481703,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70044587,"text":"70044587 - 2013 - Self-reporting bias in Chinook salmon sport fisheries in Idaho: implications for roving creel surveys","interactions":[],"lastModifiedDate":"2013-07-31T11:08:25","indexId":"70044587","displayToPublicDate":"2013-07-31T11:05:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Self-reporting bias in Chinook salmon sport fisheries in Idaho: implications for roving creel surveys","docAbstract":"Self-reporting bias in sport fisheries of Chinook Salmon Oncorhynchus tshawytscha in Idaho was quantified by comparing observed and angler-reported data. A total of 164 observed anglers fished for 541 h and caught 74 Chinook Salmon. Fifty-eight fish were harvested and 16 were released. Anglers reported fishing for 604 h, an overestimate of 63 h. Anglers reported catching 66 fish; four less harvested and four less released fish were reported than observed. A Monte Carlo simulation revealed that when angler-reported data were used, total catch was underestimated by 14–15 fish (19–20%) using the ratio-of-means estimator to calculate mean catch rate. Negative bias was reduced to six fish (8%) when the means-of-ratio estimator was used. Multiple linear regression models to predict reporting bias in time fished had poor predictive value. However, actual time fished and a categorical covariate indicating whether the angler fished continuously during their fishing trip were two variables that were present in all of the top a priori models evaluated. Underreporting of catch and overreporting of time fished by anglers present challenges when managing Chinook Salmon sport fisheries. However, confidence intervals were near target levels and using more liberal definitions of angling when estimating effort in creel surveys may decrease sensitivity to bias in angler-reported data.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"North American Journal of Fisheries Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","doi":"10.1080/02755947.2013.808293","usgsCitation":"McCormick, J.L., Quist, M.C., and Schill, D.J., 2013, Self-reporting bias in Chinook salmon sport fisheries in Idaho: implications for roving creel surveys: North American Journal of Fisheries Management, v. 33, no. 4, p. 723-731, https://doi.org/10.1080/02755947.2013.808293.","productDescription":"9 p.","startPage":"723","endPage":"731","ipdsId":"IP-042902","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":275623,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275622,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/02755947.2013.808293"}],"country":"United States","volume":"33","issue":"4","noUsgsAuthors":false,"publicationDate":"2013-07-15","publicationStatus":"PW","scienceBaseUri":"51fa2c80e4b076c3a8d8262b","contributors":{"authors":[{"text":"McCormick, Joshua L.","contributorId":105193,"corporation":false,"usgs":true,"family":"McCormick","given":"Joshua","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":475918,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Quist, Michael C. mquist@usgs.gov","contributorId":4042,"corporation":false,"usgs":true,"family":"Quist","given":"Michael","email":"mquist@usgs.gov","middleInitial":"C.","affiliations":[{"id":350,"text":"Iowa Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"preferred":false,"id":475916,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schill, Daniel J.","contributorId":66562,"corporation":false,"usgs":true,"family":"Schill","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":475917,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70047312,"text":"70047312 - 2013 - Emerging methods for the study of coastal ecosystem landscape structure and change","interactions":[],"lastModifiedDate":"2017-04-06T15:31:11","indexId":"70047312","displayToPublicDate":"2013-07-31T10:15:04","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2068,"text":"International Journal of Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Emerging methods for the study of coastal ecosystem landscape structure and change","docAbstract":"Coastal landscapes are heterogeneous, dynamic, and evolve over a range of time scales due to intertwined climatic, geologic, hydrologic, biologic, and meteorological processes, and are also heavily impacted by human development, commercial activities, and resource extraction. A diversity of complex coastal systems around the globe, spanning glaciated shorelines to tropical atolls, wetlands, and barrier islands are responding to multiple human and natural drivers. Interdisciplinary research based on remote-sensing observations linked to process studies and models is required to understand coastal ecosystem landscape structure and change. Moreover, new techniques for coastal mapping and monitoring are increasingly serving the needs of policy-makers and resource managers across local, regional, and national scales. Emerging remote-sensing methods associated with a diversity of instruments and platforms are a key enabling element of integrated coastal ecosystem studies. These investigations require both targeted and synoptic mapping, and involve the monitoring of formative processes such as hydrodynamics, sediment transport, erosion, accretion, flooding, habitat modification, land-cover change, and biogeochemical fluxes.","language":"English","publisher":"Taylor & Francis","doi":"10.1080/01431161.2013.810445","usgsCitation":"Brock, J., Danielson, J.J., and Purkis, S., 2013, Emerging methods for the study of coastal ecosystem landscape structure and change: International Journal of Remote Sensing, v. 34, no. 18, p. 6283-6285, https://doi.org/10.1080/01431161.2013.810445.","productDescription":"3 p.","startPage":"6283","endPage":"6285","ipdsId":"IP-045935","costCenters":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":275618,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275617,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/01431161.2013.810445"}],"volume":"34","issue":"18","noUsgsAuthors":false,"publicationDate":"2013-06-28","publicationStatus":"PW","scienceBaseUri":"51fa2c7fe4b076c3a8d82617","contributors":{"authors":[{"text":"Brock, John 0000-0002-5289-9332 jbrock@usgs.gov","orcid":"https://orcid.org/0000-0002-5289-9332","contributorId":2261,"corporation":false,"usgs":true,"family":"Brock","given":"John","email":"jbrock@usgs.gov","affiliations":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"preferred":true,"id":481695,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Danielson, Jeffrey J. 0000-0003-0907-034X daniels@usgs.gov","orcid":"https://orcid.org/0000-0003-0907-034X","contributorId":3996,"corporation":false,"usgs":true,"family":"Danielson","given":"Jeffrey","email":"daniels@usgs.gov","middleInitial":"J.","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":481696,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Purkis, Sam","contributorId":95363,"corporation":false,"usgs":true,"family":"Purkis","given":"Sam","affiliations":[],"preferred":false,"id":481697,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70047311,"text":"sir20135072 - 2013 - Naturally occurring contaminants in the Piedmont and Blue Ridge crystalline-rock aquifers and Piedmont Early Mesozoic basin siliciclastic-rock aquifers, eastern United States, 1994–2008","interactions":[],"lastModifiedDate":"2013-07-31T09:00:08","indexId":"sir20135072","displayToPublicDate":"2013-07-31T08:37:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5072","title":"Naturally occurring contaminants in the Piedmont and Blue Ridge crystalline-rock aquifers and Piedmont Early Mesozoic basin siliciclastic-rock aquifers, eastern United States, 1994–2008","docAbstract":"Groundwater quality and aquifer lithologies in the Piedmont and Blue Ridge Physiographic Provinces in the eastern United States vary widely as a result of complex geologic history. Bedrock composition (mineralogy) and geochemical conditions in the aquifer directly affect the occurrence (presence in rock and groundwater) and distribution (concentration and mobility) of potential naturally occurring contaminants, such as arsenic and radionuclides, in drinking water. To evaluate potential relations between aquifer lithology and the spatial distribution of naturally occurring contaminants, the crystalline-rock aquifers of the Piedmont and Blue Ridge Physiographic Provinces and the siliciclastic-rock aquifers of the Early Mesozoic basin of the Piedmont Physiographic Province were divided into 14 lithologic groups, each having from 1 to 16 lithochemical subgroups, based on primary rock type, mineralogy, and weathering potential. Groundwater-quality data collected by the U.S. Geological Survey (USGS) National Water-Quality Assessment (NAWQA) Program from 1994 through 2008 from 346 wells and springs in various hydrogeologic and land-use settings from Georgia through New Jersey were compiled and analyzed for this study. Analyses for most constituents were for filtered samples, and, thus, the compiled data consist largely of dissolved concentrations. Concentrations were compared to criteria for protection of human health, such as U.S. Environmental Protection Agency (USEPA) drinking water maximum contaminant levels and secondary maximum contaminant levels or health-based screening levels developed by the USGS NAWQA Program in cooperation with the USEPA, the New Jersey Department of Environmental Protection, and Oregon Health & Science University. Correlations among constituent concentrations, pH, and oxidation-reduction (redox) conditions were used to infer geochemical controls on constituent mobility within the aquifers.\n\nOf the 23 trace-element constituents evaluated, arsenic, manganese, and zinc were detected in one or more water samples at concentrations greater than established human health-based criteria. Arsenic concentrations typically were less than 1 microgram per liter (µg/L) in most groundwater samples; however, concentrations of arsenic greater than 1 µg/L frequently were detected in groundwater from clastic lacustrine sedimentary rocks of the Early Mesozoic basin aquifers and from metamorphosed clastic sedimentary rocks of the Piedmont and Blue Ridge crystalline rock aquifers. Groundwater from these rock units had elevated pH compared to other rock units evaluated in this study. Of the nine samples for which arsenic concentration was greater than 10 µg/L, six were classified as oxic and three as anoxic, and seven had pH of 7.2 or greater. Manganese concentrations typically were less than 10 µg/L in most samples; however, 8.3 percent of samples from the Piedmont and Blue Ridge crystalline-rock aquifers and 3.0 percent of samples from the Early Mesozoic basin siliciclastic rock aquifers had manganese concentrations greater than the 300-µg/L health-based screening level. The positive correlation of manganese with iron and ammonia and the negative correlation of manganese with dissolved oxygen and nitrate are consistent with the reductive dissolution of manganese oxides in the aquifer. Zinc concentrations typically were less than 10 µg/L in the groundwater samples considered in the study, but 0.4 percent and 5.5 percent of the samples had concentrations greater than the health-based screening level of 2,000 µg/L and one-tenth of the health-based screening level, respectively. The mean rank concentration of zinc in groundwater from the quartz-rich sedimentary rock lithologic group was greater than that for other lithologic groups even after eliminating samples collected from wells constructed with galvanized casing.\n\nApproximately 90 percent of 275 groundwater samples had radon-222 concentrations that were greater than the proposed alternative maximum contaminant level of 300 picocuries per liter. In contrast, only 2.0 percent of 98 samples had combined radium (radium-226 plus radium-228) concentrations greater than the maximum contaminant level of 5.0 picocuries per liter, and 0.6 percent of 310 samples had uranium concentrations greater than the maximum contaminant level of 30 µg/L. Radon concentrations were highest in the Piedmont and Blue Ridge crystalline-rock aquifers, especially in granite, and elevated median concentrations were noted in the Piedmont Early Mesozoic basin aquifers, but without the extreme maximum concentrations found in the crystalline rocks (granites). Although the siliciclastic lithologies had a greater frequency of elevated uranium concentrations, radon and radium were commonly detected in water from both siliciclastic and crystalline lithologies. Uranium concentrations in groundwater from clastic sedimentary and clastic lacustrine/evaporite sedimentary lithologic groups within the Early Mesozoic basin aquifers, which had median concentrations of 3.6 and 3.1 µg/L, respectively, generally were higher than concentrations for other siliciclastic lithologic groups, which had median concentrations less than 1 µg/L. Although 89 percent of the 260 samples from crystalline-rock aquifers had uranium concentrations less than 1 µg/L, 0.8 percent had uranium concentrations greater than the 30-µg/L maximum contaminant level, and 6.5 percent had concentrations greater than 3 µg/L.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135072","collaboration":"National Water-Quality Assessment Program","usgsCitation":"Chapman, M.J., Cravotta, C.A., Szabo, Z., and Lindsay, B.D., 2013, Naturally occurring contaminants in the Piedmont and Blue Ridge crystalline-rock aquifers and Piedmont Early Mesozoic basin siliciclastic-rock aquifers, eastern United States, 1994–2008: U.S. Geological Survey Scientific Investigations Report 2013-5072, xi, 74 p.; Tables, https://doi.org/10.3133/sir20135072.","productDescription":"xi, 74 p.; Tables","numberOfPages":"90","onlineOnly":"Y","temporalStart":"1994-01-01","temporalEnd":"2008-01-01","costCenters":[{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true}],"links":[{"id":275610,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135072.bmp"},{"id":275608,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5072/"},{"id":275609,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5072/pdf/sir2013-5072.pdf"},{"id":275607,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2013/5072/table/Chapman_PIED6_Tables.xlsx"}],"country":"United States","state":"Alabama;Delaware;Georgia;Maryl;New Jersey;North Carolina;Pennsylvania;Virginia;West Virginia","otherGeospatial":"Piedmont And Blue Ridge Physiographic Provinces","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -86.0,32.0 ], [ -86.0,44.0 ], [ -70.0,44.0 ], [ -70.0,32.0 ], [ -86.0,32.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51fa2c7fe4b076c3a8d8261b","contributors":{"authors":[{"text":"Chapman, Melinda J. 0000-0003-4021-0320 mjchap@usgs.gov","orcid":"https://orcid.org/0000-0003-4021-0320","contributorId":1597,"corporation":false,"usgs":true,"family":"Chapman","given":"Melinda","email":"mjchap@usgs.gov","middleInitial":"J.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true}],"preferred":true,"id":481691,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cravotta, Charles A. III, 0000-0003-3116-4684 cravotta@usgs.gov","orcid":"https://orcid.org/0000-0003-3116-4684","contributorId":2193,"corporation":false,"usgs":true,"family":"Cravotta","given":"Charles","suffix":"III,","email":"cravotta@usgs.gov","middleInitial":"A.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":false,"id":481692,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Szabo, Zoltan 0000-0002-0760-9607 zszabo@usgs.gov","orcid":"https://orcid.org/0000-0002-0760-9607","contributorId":2240,"corporation":false,"usgs":true,"family":"Szabo","given":"Zoltan","email":"zszabo@usgs.gov","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":false,"id":481693,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lindsay, Bruce D.","contributorId":102360,"corporation":false,"usgs":true,"family":"Lindsay","given":"Bruce","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":481694,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70047310,"text":"70047310 - 2013 - A new dry hypothesis for the formation of Martian linear gullies","interactions":[],"lastModifiedDate":"2018-11-01T15:40:11","indexId":"70047310","displayToPublicDate":"2013-07-31T08:22:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1963,"text":"Icarus","active":true,"publicationSubtype":{"id":10}},"title":"A new dry hypothesis for the formation of Martian linear gullies","docAbstract":"Long, narrow grooves found on the slopes of martian sand dunes have been cited as evidence of liquid water via the hypothesis that melt-water initiated debris flows eroded channels and deposited lateral levées. However, this theory has several short-comings for explaining the observed morphology and activity of these linear gullies. We present an alternative hypothesis that is consistent with the observed morphology, location, and current activity: that blocks of CO2 ice break from over-steepened cornices as sublimation processes destabilize the surface in the spring, and these blocks move downslope, carving out levéed grooves of relatively uniform width and forming terminal pits. To test this hypothesis, we describe experiments involving water and CO2 blocks on terrestrial dunes and then compare results with the martian features. Furthermore, we present a theoretical model of the initiation of block motion due to sublimation and use this to quantitatively compare the expected behavior of blocks on the Earth and Mars. The model demonstrates that CO2 blocks can be expected to move via our proposed mechanism on the Earth and Mars, and the experiments show that the motion of these blocks will naturally create the main morphological features of linear gullies seen on Mars.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Icarus","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.icarus.2013.04.006","usgsCitation":"Diniega, S., Hansen, C.J., McElwaine, J.N., Hugenholtz, C., Dundas, C.M., McEwen, A.S., and Bourke, M.C., 2013, A new dry hypothesis for the formation of Martian linear gullies: Icarus, v. 225, p. 526-537, https://doi.org/10.1016/j.icarus.2013.04.006.","productDescription":"12 p.","startPage":"526","endPage":"537","numberOfPages":"12","ipdsId":"IP-039273","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":488139,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://durham-repository.worktribe.com/output/1475116","text":"External Repository"},{"id":275606,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275605,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.icarus.2013.04.006"}],"otherGeospatial":"Mars","volume":"225","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51fa2c7ae4b076c3a8d82613","contributors":{"authors":[{"text":"Diniega, Serina","contributorId":80532,"corporation":false,"usgs":true,"family":"Diniega","given":"Serina","affiliations":[],"preferred":false,"id":481689,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hansen, Candice J.","contributorId":70235,"corporation":false,"usgs":false,"family":"Hansen","given":"Candice","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":481688,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McElwaine, Jim N.","contributorId":58923,"corporation":false,"usgs":true,"family":"McElwaine","given":"Jim","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":481685,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hugenholtz, C.H.","contributorId":69041,"corporation":false,"usgs":true,"family":"Hugenholtz","given":"C.H.","email":"","affiliations":[],"preferred":false,"id":481687,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":481684,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McEwen, Alfred S.","contributorId":61657,"corporation":false,"usgs":false,"family":"McEwen","given":"Alfred","email":"","middleInitial":"S.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":481686,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bourke, Mary C.","contributorId":105992,"corporation":false,"usgs":true,"family":"Bourke","given":"Mary","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":481690,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70044213,"text":"70044213 - 2013 - Multi-scale habitat selection of the endangered Hawaiian Goose","interactions":[],"lastModifiedDate":"2013-11-15T10:24:10","indexId":"70044213","displayToPublicDate":"2013-07-30T16:24:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1318,"text":"Condor","active":true,"publicationSubtype":{"id":10}},"title":"Multi-scale habitat selection of the endangered Hawaiian Goose","docAbstract":"After a severe population reduction during the mid-20th century, the endangered Hawaiian Goose (Branta sandvicensis), or Nēnē, has only recently re-established its seasonal movement patterns on Hawai‘i Island. Little is currently understood about its movements and habitat use during the nonbreeding season. The objectives of this research were to identify habitats preferred by two subpopulations of the Nēnē and how preferences shift seasonally at both meso-and fine scales. From 2009 to 2011, ten Nēnē ganders were outfitted with 40-to 45-g satellite transmitters with GPS capability. We used binary logistic regression to compare habitat use versus availability and an information-theoretic approach for model selection. Meso-scale habitat modeling revealed that Nēnē preferred exotic grass and human-modified landscapes during the breeding and molting seasons and native subalpine shrubland during the nonbreeding season. Fine-scale habitat modeling further indicated preference for exotic grass, bunch grass, and absence of trees. Proximity to water was important during molt, suggesting that the presence of water may provide escape from introduced mammalian predators while Nēnē are flightless. Finescale species-composition data added relatively little to understanding of Nēnē habitat preferences modeled at the meso scale, suggesting that the meso-scale is appropriate for management planning. Habitat selection during our study was consistent with historical records, although dissimilar from more recent studies of other subpopulations. Nēnē make pronounced seasonal movements between existing reserves and use distinct habitat types; understanding annual patterns has implications for the protection and restoration of important seasonal habitats.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Condor","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Cooper Ornithological Society","doi":"10.1525/cond.2012.120022","usgsCitation":"Leopold, C.R., and Hess, S.C., 2013, Multi-scale habitat selection of the endangered Hawaiian Goose: Condor, v. 115, no. 1, p. 17-27, https://doi.org/10.1525/cond.2012.120022.","productDescription":"11 p.","startPage":"17","endPage":"27","ipdsId":"IP-040017","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":473633,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1525/cond.2012.120022","text":"Publisher Index Page"},{"id":275549,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275530,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1525/cond.2012.120022"}],"country":"United States","state":"Hawai'i","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -155.824585,19.106244 ], [ -155.824585,19.806762 ], [ -155.131073,19.806762 ], [ -155.131073,19.106244 ], [ -155.824585,19.106244 ] ] ] } } ] }","volume":"115","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51f8d258e4b0cecbe8fa981c","contributors":{"authors":[{"text":"Leopold, Christina R.","contributorId":46817,"corporation":false,"usgs":true,"family":"Leopold","given":"Christina","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":475114,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hess, Steven C. 0000-0001-6403-9922 shess@usgs.gov","orcid":"https://orcid.org/0000-0001-6403-9922","contributorId":3156,"corporation":false,"usgs":true,"family":"Hess","given":"Steven","email":"shess@usgs.gov","middleInitial":"C.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":false,"id":475113,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70047305,"text":"70047305 - 2013 - Age structure of moose (Alces alces) killed by gray wolves (Canis lupus) in northeastern Minnesota, 1967-2011","interactions":[],"lastModifiedDate":"2020-12-30T16:51:35.796362","indexId":"70047305","displayToPublicDate":"2013-07-30T16:12:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1163,"text":"Canadian Field-Naturalist","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Age structure of moose (Alces alces) killed by gray wolves (Canis lupus) in northeastern Minnesota, 1967-2011","title":"Age structure of moose (Alces alces) killed by gray wolves (Canis lupus) in northeastern Minnesota, 1967-2011","docAbstract":"

The ages of 77 adult Moose (Alces alces) killed by Gray Wolves (Canis lupus) during the period 1967–2011 in northeastern Minnesota were significantly older than those of a sample of 17,585 Moose killed by hunters in nearby Ontario. Our findings support those of earlier studies of protected Moose populations in national parks that found that Gray Wolves tend to kill disproportionately more older Moose.

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\"}}]}","volume":"127","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-07-15","publicationStatus":"PW","scienceBaseUri":"51f8d256e4b0cecbe8fa9808","contributors":{"authors":[{"text":"Mech, L. David 0000-0003-3944-7769 david_mech@usgs.gov","orcid":"https://orcid.org/0000-0003-3944-7769","contributorId":2518,"corporation":false,"usgs":true,"family":"Mech","given":"L.","email":"david_mech@usgs.gov","middleInitial":"David","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":481675,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nelson, Michael E.","contributorId":7397,"corporation":false,"usgs":true,"family":"Nelson","given":"Michael","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":481676,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70047304,"text":"70047304 - 2013 - Variations of iron flux and organic carbon remineralization in a subterranean estuary caused by interannual variations in recharge","interactions":[],"lastModifiedDate":"2025-05-13T18:13:21.234825","indexId":"70047304","displayToPublicDate":"2013-07-30T16:05:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"title":"Variations of iron flux and organic carbon remineralization in a subterranean estuary caused by interannual variations in recharge","docAbstract":"We determine the inter-annual variations in diagenetic reaction rates of sedimentary iron (Fe ) in an east Florida subterranean estuary and evaluate the connection between metal fluxes and recharge to the coastal aquifer. Over the three-year study period (from 2004 to 2007), the amount of Fe-oxides reduced at the study site decreased from 192 g/yr to 153 g/yr and associated organic carbon (OC) remineralization decreased from 48 g/yr to 38 g/yr. These reductions occurred although the Fe-oxide reduction rates remained constant around 1 mg/cm2/yr. These results suggest that changes in flow rates of submarine groundwater discharge (SGD) related to changes in precipitation may be important to fluxes of the diagenetic reaction products. Rainfall at a weather station approximately 5 km from the field area decreased from 12.6 cm/month to 8.4 cm/month from 2004 to 2007. Monthly potential evapotranspiration (PET) calculated from Thornthwaite’s method indicated potential evapotranspiration cycled from about 3 cm/month in the winter to about 15 cm/month in the summer so that net annual recharge to the aquifer decreased from 40 cm in 2004 to -10 cm in 2007. Simultaneously, with the decrease in recharge of groundwater, freshwater SGD decreased by around 20% and caused the originally 25 m wide freshwater seepage face to decrease in width by about 5 m. The smaller seepage face reduced the area under which Fe-oxides were undergoing reductive dissolution. Consequently, the observed decrease in Fe flux is controlled by hydrology of the subterranean estuary. These results point out the need to better understand linkages between temporal variations in diagenetic reactions and changes in flow within subterranean estuaries in order to accurately constrain their contribution to oceanic fluxes of solutes from subterranean estuaries.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geochimica et Cosmochimica Acta","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2012.10.055","usgsCitation":"Roy, M., Martin, J., Cable, J.E., and Smith, C.G., 2013, Variations of iron flux and organic carbon remineralization in a subterranean estuary caused by interannual variations in recharge: Geochimica et Cosmochimica Acta, v. 103, p. 301-315, https://doi.org/10.1016/j.gca.2012.10.055.","productDescription":"15 p.","startPage":"301","endPage":"315","numberOfPages":"15","ipdsId":"IP-032648","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":275600,"rank":1,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.gca.2012.10.055"},{"id":275601,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Indian River Lagoon","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -80.643947,28.05794 ], [ -80.643947,28.164889 ], [ -80.559226,28.164889 ], [ -80.559226,28.05794 ], [ -80.643947,28.05794 ] ] ] } } ] }","volume":"103","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51f8d25be4b0cecbe8fa983c","contributors":{"authors":[{"text":"Roy, Moutusi","contributorId":27998,"corporation":false,"usgs":true,"family":"Roy","given":"Moutusi","email":"","affiliations":[],"preferred":false,"id":481672,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martin, Jonathan B.","contributorId":68450,"corporation":false,"usgs":true,"family":"Martin","given":"Jonathan B.","affiliations":[],"preferred":false,"id":481673,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cable, Jaye E.","contributorId":83658,"corporation":false,"usgs":true,"family":"Cable","given":"Jaye","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":481674,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Christopher G. 0000-0002-8075-4763 cgsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-8075-4763","contributorId":3410,"corporation":false,"usgs":true,"family":"Smith","given":"Christopher","email":"cgsmith@usgs.gov","middleInitial":"G.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":481671,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70047298,"text":"ofr20131159 - 2013 - Methods for monitoring corals and crustose coralline algae to quantify in-situ calcification rates","interactions":[],"lastModifiedDate":"2013-07-30T15:47:19","indexId":"ofr20131159","displayToPublicDate":"2013-07-30T15:31:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1159","title":"Methods for monitoring corals and crustose coralline algae to quantify in-situ calcification rates","docAbstract":"The potential effect of global climate change on calcifying marine organisms, such as scleractinian (reef-building) corals, is becoming increasingly evident. Understanding the process of coral calcification and establishing baseline calcification rates are necessary to detect future changes in growth resulting from climate change or other stressors. Here we describe the methods used to establish a network of calcification-monitoring stations along the outer Florida Keys Reef Tract in 2009. In addition to detailing the initial setup and periodic monitoring of calcification stations, we discuss the utility and success of our design and offer suggestions for future deployments. Stations were designed such that whole coral colonies were securely attached to fixed apparati (n = 10 at each site) on the seafloor but also could be easily removed and reattached as needed for periodic weighing. Corals were weighed every 6 months, using the buoyant weight technique, to determine calcification rates in situ. Sites were visited in May and November to obtain winter and summer rates, respectively, and identify seasonal patterns in calcification. Calcification rates of the crustose coralline algal community also were measured by affixing commercially available plastic tiles, deployed vertically, at each station. Colonization by invertebrates and fleshy algae on the tiles was low, indicating relative specificity for the crustose coralline algal community. We also describe a new, nonlethal technique for sampling the corals, used following the completion of the monitoring period, in which two slabs were obtained from the center of each colony. Sampled corals were reattached to the seafloor, and most corals had completely recovered within 6 months. The station design and sampling methods described herein provide an effective approach to assessing coral and crustose coralline algal calcification rates across time and space, offering the ability to quantify the potential effects of ocean warming and acidification on calcification processes.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131159","usgsCitation":"Morrison, J.M., Kuffner, I.B., and Hickey, T.D., 2013, Methods for monitoring corals and crustose coralline algae to quantify in-situ calcification rates: U.S. Geological Survey Open-File Report 2013-1159, v, 11 p., https://doi.org/10.3133/ofr20131159.","productDescription":"v, 11 p.","numberOfPages":"22","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":438784,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P94BOI9T","text":"USGS data release","linkHelpText":"Experimental Coral-Growth Data and Time-Series Imagery for Acropora palmata and Pseudodiploria strigosa in St. Croix, U.S. Virgin Islands"},{"id":275594,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131159.gif"},{"id":275593,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1159/ofr13_1159_web.pdf"},{"id":275592,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1159/"}],"country":"United States","state":"Florida","otherGeospatial":"Florida Keys Reef Tract","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -83.2819,24.0966 ], [ -83.2819,27.2752 ], [ -79.4724,27.2752 ], [ -79.4724,24.0966 ], [ -83.2819,24.0966 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51f8d258e4b0cecbe8fa9818","contributors":{"authors":[{"text":"Morrison, Jennifer M. 0000-0003-4460-7843 jmmorrison@usgs.gov","orcid":"https://orcid.org/0000-0003-4460-7843","contributorId":4903,"corporation":false,"usgs":true,"family":"Morrison","given":"Jennifer","email":"jmmorrison@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":481658,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kuffner, Ilsa B. 0000-0001-8804-7847 ikuffner@usgs.gov","orcid":"https://orcid.org/0000-0001-8804-7847","contributorId":3105,"corporation":false,"usgs":true,"family":"Kuffner","given":"Ilsa","email":"ikuffner@usgs.gov","middleInitial":"B.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":481657,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hickey, T. Don","contributorId":49066,"corporation":false,"usgs":true,"family":"Hickey","given":"T.","email":"","middleInitial":"Don","affiliations":[],"preferred":false,"id":481659,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70046566,"text":"70046566 - 2013 - Species- and community-level responses combine to drive phenology of lake phytoplankton","interactions":[],"lastModifiedDate":"2013-10-23T14:16:14","indexId":"70046566","displayToPublicDate":"2013-07-30T12:41:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Species- and community-level responses combine to drive phenology of lake phytoplankton","docAbstract":"Global change is leading to shifts in the seasonal timing of growth and maturation for primary producers. Remote sensing is increasingly used to measure the timing of primary production in both aquatic and terrestrial ecosystems, but there is often a poor correlation between these results and direct observations of life-history responses of individual species. One explanation may be that in addition to phenological shifts, global change is also causing shifts in community composition among species with different seasonal timing of growth and maturation. We quantified how shifts in species phenology and in community composition translated into phenological change in a diverse phytoplankton community from 1962-2000. During this time the aggregate community spring-summer phytoplankton peak has shifted 63 days earlier. The mean taxon shift was only 3 days earlier and shifts in taxa phenology explained only 40% of the observed community phenological shift. The remaining community shift was attributed to dominant early season taxa increasing in abundance while a dominant late season taxon decreased in abundance. In diverse producer communities experiencing multiple stressors, changes in species composition must be considered to fully understand and predict shifts in the seasonal timing of primary production.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Ecological Society of America","doi":"10.1890/13-0445.1","usgsCitation":"Walters, A., Sagrario, M.D., and Schindler, D.E., 2013, Species- and community-level responses combine to drive phenology of lake phytoplankton: Ecology, v. 94, no. 10, p. 2188-2194, https://doi.org/10.1890/13-0445.1.","productDescription":"7 p.","startPage":"2188","endPage":"2194","numberOfPages":"7","ipdsId":"IP-043973","costCenters":[{"id":683,"text":"Wyoming Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":473635,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/13-0445.1","text":"Publisher Index Page"},{"id":275579,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275578,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/13-0445.1"}],"country":"United States","state":"Washington","otherGeospatial":"Lake Washington","volume":"94","issue":"10","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51f8d25ae4b0cecbe8fa9838","contributors":{"authors":[{"text":"Walters, Annika","contributorId":56133,"corporation":false,"usgs":true,"family":"Walters","given":"Annika","affiliations":[],"preferred":false,"id":479808,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sagrario, Maria de los Angeles Gonzalez","contributorId":62107,"corporation":false,"usgs":true,"family":"Sagrario","given":"Maria","email":"","middleInitial":"de los Angeles Gonzalez","affiliations":[],"preferred":false,"id":479809,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schindler, Daniel E.","contributorId":83485,"corporation":false,"usgs":true,"family":"Schindler","given":"Daniel","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":479810,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70041493,"text":"70041493 - 2013 - Predicting the planform configuration of the braided Toklat River, AK with a suite of rule-based models","interactions":[],"lastModifiedDate":"2013-07-30T12:54:44","indexId":"70041493","displayToPublicDate":"2013-07-30T12:41:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Predicting the planform configuration of the braided Toklat River, AK with a suite of rule-based models","docAbstract":"An ensemble of rule-based models was constructed to assess possible future braided river planform configurations for the Toklat River in Denali National Park and Preserve, Alaska. This approach combined an analysis of large-scale influences on stability with several reduced-complexity models to produce the predictions at a practical level for managers concerned about the persistence of bank erosion while acknowledging the great uncertainty in any landscape prediction. First, a model of confluence angles reproduced observed angles of a major confluence, but showed limited susceptibility to a major rearrangement of the channel planform downstream. Second, a probabilistic map of channel locations was created with a two-parameter channel avulsion model. The predicted channel belt location was concentrated in the same area as the current channel belt. Finally, a suite of valley-scale channel and braid plain characteristics were extracted from a light detection and ranging (LiDAR)-derived surface. The characteristics demonstrated large-scale stabilizing topographic influences on channel planform. The combination of independent analyses increased confidence in the conclusion that the Toklat River braided planform is a dynamically stable system due to large and persistent valley-scale influences, and that a range of avulsive perturbations are likely to result in a relatively unchanged planform configuration in the short term.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of the American Water Resources Association","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/jawr.12029","usgsCitation":"Podolak, C.J., 2013, Predicting the planform configuration of the braided Toklat River, AK with a suite of rule-based models: Journal of the American Water Resources Association, v. 49, no. 2, p. 390-401, https://doi.org/10.1111/jawr.12029.","productDescription":"12 p.","startPage":"390","endPage":"401","numberOfPages":"12","ipdsId":"IP-036147","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":275583,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275581,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111 ⁄ jawr.12029"}],"country":"United States","state":"Alaska","otherGeospatial":"Toklat River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -150.3167,63.4145 ], [ -150.3167,64.4558 ], [ -149.8318,64.4558 ], [ -149.8318,63.4145 ], [ -150.3167,63.4145 ] ] ] } } ] }","volume":"49","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-01-28","publicationStatus":"PW","scienceBaseUri":"51f8d25ae4b0cecbe8fa9834","contributors":{"authors":[{"text":"Podolak, Charles J.","contributorId":52849,"corporation":false,"usgs":true,"family":"Podolak","given":"Charles","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":469845,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70046961,"text":"70046961 - 2013 - Distribution and exploitation of Nile perch Lates niloticus in relation to stratification in Lake Victoria, East Africa","interactions":[],"lastModifiedDate":"2013-09-09T11:06:39","indexId":"70046961","displayToPublicDate":"2013-07-30T11:57:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Distribution and exploitation of Nile perch Lates niloticus in relation to stratification in Lake Victoria, East Africa","docAbstract":"Stratification restricts habitable areas forcing fish to balance between favourable temperature and minimum dissolved oxygen requirements. Acoustic surveys conducted during the stratified and isothermal periods on tropical Lake Victoria indicated that stratification of temperature and dissolved oxygen (DO) affected vertical distribution of Nile perch. There was higher mean temperature (25.6 ± 0.5 °C) and lower DO (6.4 ± 1.8 mg/l) during stratified period compared to the isothermal period (mean temperature 24.9 ± 0.3 °C; mean DO 7.3 ± 0.6 mg/l). Higher mean densities of Nile perch were recorded in the coastal (0.44 ± 0.03) and deep (0.27 ± 0.02 g/m3) strata during the stratified compared to the isothermal season (coastal: 0.24 ± 0.01; deep: 0.12 ± 0.02 g/m3). In addition, Nile perch density in the upper 0–40 m depth layers in the coastal and deep strata increased by over 50% from the isothermal to the stratified season. Daily landings from 65 motorised fishing boats between October 2008 and September 2010 show higher mean catch (26.29 ± 0.17 kg/boat/day) during stratified compared to the isothermal (23.59 ± 0.15) season. Thermal stratification apparently compresses the habitat available to Nile perch and can potentially result in higher exploitation. Managers should evaluate the potential benefits of instituting closed seasons during the stratified period, and stock assessment models should take into account the seasonal niche compression.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Great Lakes Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2013.06.009","usgsCitation":"Taabu-Munyaho, A., Kayanda, R.J., Everson, I., Grabowski, T.B., and Marteinsdottir, G., 2013, Distribution and exploitation of Nile perch Lates niloticus in relation to stratification in Lake Victoria, East Africa: Journal of Great Lakes Research, v. 39, no. 3, p. 466-475, https://doi.org/10.1016/j.jglr.2013.06.009.","productDescription":"10 p.","startPage":"466","endPage":"475","ipdsId":"IP-035283","costCenters":[{"id":582,"text":"Texas Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":275577,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275575,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jglr.2013.06.009"}],"otherGeospatial":"Lake Victoria","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 31.5952,-3.1876 ], [ 31.5952,0.4906 ], [ 34.868,0.4906 ], [ 34.868,-3.1876 ], [ 31.5952,-3.1876 ] ] ] } } ] }","volume":"39","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51f8d256e4b0cecbe8fa980c","contributors":{"authors":[{"text":"Taabu-Munyaho, A.","contributorId":39272,"corporation":false,"usgs":true,"family":"Taabu-Munyaho","given":"A.","email":"","affiliations":[],"preferred":false,"id":480715,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kayanda, Robert J.","contributorId":76623,"corporation":false,"usgs":true,"family":"Kayanda","given":"Robert","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":480717,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Everson, Inigo","contributorId":57346,"corporation":false,"usgs":true,"family":"Everson","given":"Inigo","email":"","affiliations":[],"preferred":false,"id":480716,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grabowski, Timothy B. 0000-0001-9763-8948 tgrabowski@usgs.gov","orcid":"https://orcid.org/0000-0001-9763-8948","contributorId":4178,"corporation":false,"usgs":true,"family":"Grabowski","given":"Timothy","email":"tgrabowski@usgs.gov","middleInitial":"B.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":480713,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Marteinsdottir, Gudrun","contributorId":11099,"corporation":false,"usgs":false,"family":"Marteinsdottir","given":"Gudrun","email":"","affiliations":[],"preferred":false,"id":480714,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70042300,"text":"70042300 - 2013 - Environmental and physical controls on northern terrestrial methane emissions across permafrost zones","interactions":[],"lastModifiedDate":"2013-07-30T11:52:11","indexId":"70042300","displayToPublicDate":"2013-07-30T11:48:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Environmental and physical controls on northern terrestrial methane emissions across permafrost zones","docAbstract":"Methane (CH4) emissions from the northern high-latitude region represent potentially significant biogeochemical feedbacks to the climate system. We compiled a database of growing-season CH4 emissions from terrestrial ecosystems located across permafrost zones, including 303 sites described in 65 studies. Data on environmental and physical variables, including permafrost conditions, were used to assess controls on CH4 emissions. Water table position, soil temperature, and vegetation composition strongly influenced emissions and had interacting effects. Sites with a dense sedge cover had higher emissions than other sites at comparable water table positions, and this was an effect that was more pronounced at low soil temperatures. Sensitivity analysis suggested that CH4 emissions from ecosystems where the water table on average is at or above the soil surface (wet tundra, fen underlain by permafrost, and littoral ecosystems) are more sensitive to variability in soil temperature than drier ecosystems (palsa dry tundra, bog, and fen), whereas the latter ecosystems conversely are relatively more sensitive to changes of the water table position. Sites with near-surface permafrost had lower CH4 fluxes than sites without permafrost at comparable water table positions, a difference that was explained by lower soil temperatures. Neither the active layer depth nor the organic soil layer depth was related to CH4 emissions. Permafrost thaw in lowland regions is often associated with increased soil moisture, higher soil temperatures, and increased sedge cover. In our database, lowland thermokarst sites generally had higher emissions than adjacent sites with intact permafrost, but emissions from thermokarst sites were not statistically higher than emissions from permafrost-free sites with comparable environmental conditions. Overall, these results suggest that future changes to terrestrial high-latitude CH4 emissions will be more proximately related to changes in moisture, soil temperature, and vegetation composition than to increased availability of organic matter following permafrost thaw.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Global Change Biology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/gcb.12071","usgsCitation":"Olefeldt, D., Turetsky, M.R., Crill, P.M., and McGuire, A., 2013, Environmental and physical controls on northern terrestrial methane emissions across permafrost zones: Global Change Biology, v. 19, no. 2, p. 589-603, https://doi.org/10.1111/gcb.12071.","productDescription":"15 p.","startPage":"589","endPage":"603","ipdsId":"IP-042133","costCenters":[{"id":108,"text":"Alaska Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":275574,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275572,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/gcb.12071"}],"volume":"19","issue":"2","noUsgsAuthors":false,"publicationDate":"2012-11-29","publicationStatus":"PW","scienceBaseUri":"51f8d256e4b0cecbe8fa9810","contributors":{"authors":[{"text":"Olefeldt, David","contributorId":37622,"corporation":false,"usgs":true,"family":"Olefeldt","given":"David","email":"","affiliations":[],"preferred":false,"id":471226,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Turetsky, Merritt R.","contributorId":80980,"corporation":false,"usgs":true,"family":"Turetsky","given":"Merritt","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":471227,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crill, Patrick M.","contributorId":96567,"corporation":false,"usgs":true,"family":"Crill","given":"Patrick","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":471228,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McGuire, A. David","contributorId":18494,"corporation":false,"usgs":true,"family":"McGuire","given":"A. David","affiliations":[],"preferred":false,"id":471225,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70007167,"text":"70007167 - 2013 - Pre- and post-impoundment nitrogen in the lower Missouri River","interactions":[],"lastModifiedDate":"2014-01-13T10:23:22","indexId":"70007167","displayToPublicDate":"2013-07-30T11:42:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Pre- and post-impoundment nitrogen in the lower Missouri River","docAbstract":"Large water-sample sets collected from 1899 through 1902, 1907, and in the early 1950s allow comparisons of pre-impoundment and post-impoundment (1969 through 2008) nitrogen concentrations in the lower Missouri River. Although urban wastes were not large enough to detectably increase annual loads of total nitrogen at the beginning of the 20th century, carcass waste, stock-yard manure, and untreated human wastes measurably increased ammonia and organic-nitrogen concentrations during low flows. Average total-nitrogen concentrations in both periods were about 2.5 mg/l, but much of the particulate-organic nitrogen, which was the dominant form of nitrogen around 1900, has been replaced by nitrate. This change in speciation was caused by the nearly 80% decrease in suspended-sediment concentrations that occurred after impoundment, modern agriculture, drainage of riparian wetlands, and sewage treatment. Nevertheless, bioavailable nitrogen has not been low enough to limit primary production in the Missouri River since the beginning of the 20th century. Nitrate concentrations have increased more rapidly from 2000 through 2008 (5 to 12% per year), thus increasing bioavailable nitrogen delivered to the Mississippi River and affecting Gulf Coast hypoxia. The increase in nitrate concentrations with distance downstream is much greater during the post-impoundment period. If strategies to decrease total-nitrogen loads focus on particulate N, substantial decreases will be difficult because particulate nitrogen is now only 23% of total nitrogen in the Missouri River. A strategy aimed at decreasing particulates also could further exacerbate land loss along the Gulf of Mexico, which has been sediment starved since Missouri River impoundment. In contrast, strategies or benchmarks aimed at decreasing nitrate loads could substantially decrease nitrogen loadings because nitrates now constitute over half of the Missouri's nitrogen input to the Mississippi. Ongoing restoration and creation of wetlands along the Missouri River could be part of such a nitrate-reduction strategy. Published 2013. This article is a U.S. Government work and is in the public domain in the USA.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Hydrological Processes","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/hyp.9797","usgsCitation":"Blevins, D.W., Wilkison, D.H., and Niesen, S.L., 2013, Pre- and post-impoundment nitrogen in the lower Missouri River: Hydrological Processes, v. 28, no. 4, p. 2535-2549, https://doi.org/10.1002/hyp.9797.","productDescription":"15 p.","startPage":"2535","endPage":"2549","numberOfPages":"15","ipdsId":"IP-026501","costCenters":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"links":[{"id":275576,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275573,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/hyp.9797"}],"scale":"100000","projection":"Universal Transverse Mercator projection, zone 15","country":"United States","state":"Illinois;Iowa;Kansas;Missouri;Nebraska","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -98.5693,38.1518 ], [ -98.5693,43.0609 ], [ -89.9561,43.0609 ], [ -89.9561,38.1518 ], [ -98.5693,38.1518 ] ] ] } } ] }","volume":"28","issue":"4","noUsgsAuthors":false,"publicationDate":"2013-04-18","publicationStatus":"PW","scienceBaseUri":"51f8d25ae4b0cecbe8fa9830","contributors":{"authors":[{"text":"Blevins, Dale W. dblevins@usgs.gov","contributorId":2729,"corporation":false,"usgs":true,"family":"Blevins","given":"Dale","email":"dblevins@usgs.gov","middleInitial":"W.","affiliations":[],"preferred":true,"id":356006,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilkison, Donald H. wilkison@usgs.gov","contributorId":3824,"corporation":false,"usgs":true,"family":"Wilkison","given":"Donald","email":"wilkison@usgs.gov","middleInitial":"H.","affiliations":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":356007,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Niesen, Shelley L. ssevern@usgs.gov","contributorId":4583,"corporation":false,"usgs":true,"family":"Niesen","given":"Shelley","email":"ssevern@usgs.gov","middleInitial":"L.","affiliations":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":356008,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70039857,"text":"70039857 - 2013 - Power to detect trends in abundance of secretive marsh birds: effects of species traits and sampling effort","interactions":[],"lastModifiedDate":"2013-07-30T11:39:55","indexId":"70039857","displayToPublicDate":"2013-07-30T11:31:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Power to detect trends in abundance of secretive marsh birds: effects of species traits and sampling effort","docAbstract":"Standardized protocols for surveying secretive marsh birds have been implemented across North America, but the efficacy of surveys to detect population trends has not been evaluated. We used survey data collected from populations of marsh birds across North America and simulations to explore how characteristics of bird populations (proportion of survey stations occupied, abundance at occupied stations, and detection probability) and aspects of sampling effort (numbers of survey routes, stations/route, and surveys/station/year) affect statistical power to detect trends in abundance of marsh bird populations. In general, the proportion of survey stations along a route occupied by a species had a greater relative effect on power to detect trends than did the number of birds detected per survey at occupied stations. Uncertainty introduced by imperfect detection during surveys reduced power to detect trends considerably, but across the range of detection probabilities for most species of marsh birds, variation in detection probability had only a minor influence on power. For species that occupy a relatively high proportion of survey stations (0.20), have relatively high abundances at occupied stations (2.0 birds/station), and have high detection probability (0.50), ≥40 routes with 10 survey stations per route surveyed 3 times per year would provide an 80% chance of detecting a 3% annual decrease in abundance after 20 years of surveys. Under the same assumptions but for species that are less common, ≥100 routes would be needed to achieve the same power. Our results can help inform the design of programs to monitor trends in abundance of marsh bird populations, especially with regards to the amount of sampling effort necessary to meet programmatic goals.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Wildlife Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/jwmg.505","usgsCitation":"Steidl, R.J., Conway, C.J., and Litt, A., 2013, Power to detect trends in abundance of secretive marsh birds: effects of species traits and sampling effort: Journal of Wildlife Management, v. 77, no. 3, p. 445-453, https://doi.org/10.1002/jwmg.505.","productDescription":"9 p.","startPage":"445","endPage":"453","numberOfPages":"9","ipdsId":"IP-038132","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":275571,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275570,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jwmg.505"}],"volume":"77","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-01-24","publicationStatus":"PW","scienceBaseUri":"51f8d25ae4b0cecbe8fa982c","contributors":{"authors":[{"text":"Steidl, Robert J.","contributorId":21849,"corporation":false,"usgs":true,"family":"Steidl","given":"Robert","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":467076,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conway, Courtney J. 0000-0003-0492-2953 cconway@usgs.gov","orcid":"https://orcid.org/0000-0003-0492-2953","contributorId":2951,"corporation":false,"usgs":true,"family":"Conway","given":"Courtney","email":"cconway@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":467075,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Litt, Andrea R.","contributorId":22226,"corporation":false,"usgs":true,"family":"Litt","given":"Andrea R.","affiliations":[],"preferred":false,"id":467077,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70040468,"text":"70040468 - 2013 - Permafrost thaw in a nested groundwater-flow system","interactions":[],"lastModifiedDate":"2013-07-30T11:20:46","indexId":"70040468","displayToPublicDate":"2013-07-30T11:09:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Permafrost thaw in a nested groundwater-flow system","docAbstract":"Groundwater flow in cold regions containing permafrost accelerates climate-warming-driven thaw and changes thaw patterns. Simulation analyses of groundwater flow and heat transport with freeze/thaw in typical cold-regions terrain with nested flow indicate that early thaw rate is particularly enhanced by flow, the time when adverse environmental impacts of climate-warming-induced permafrost loss may be severest. For the slowest climate-warming rate predicted by the Intergovernmental Panel on Climate Change (IPCC), once significant groundwater flow begins, thick permafrost layers can vanish in several hundred years, but survive over 1,000 years where flow is minimal. Large-scale thaw depends mostly on the balance of heat advection and conduction in the supra-permafrost zone. Surface-water bodies underlain by open taliks allow slow sub-permafrost flow, with lesser influence on regional thaw. Advection dominance over conduction depends on permeability and topography. Groundwater flow around permafrost and flow through permafrost impact thaw differently; the latter enhances early thaw rate. Air-temperature seasonality also increases early thaw. Hydrogeologic heterogeneity and topography strongly affect thaw rates/patterns. Permafrost controls the groundwater/surface-water-geomorphology system; hence, prediction and mitigation of impacts of thaw on ecology, chemical exports and infrastructure require improved hydrogeology/permafrost characterization and understanding","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Hydrogeology Journal","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s10040-012-0942-3","usgsCitation":"McKenzie, J.M., and Voss, C.I., 2013, Permafrost thaw in a nested groundwater-flow system: Hydrogeology Journal, v. 21, no. 1, p. 299-316, https://doi.org/10.1007/s10040-012-0942-3.","productDescription":"18 p.","startPage":"299","endPage":"316","numberOfPages":"18","ipdsId":"IP-041833","costCenters":[{"id":148,"text":"Branch of Regional Research-Western Region","active":false,"usgs":true}],"links":[{"id":275569,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275568,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10040-012-0942-3"}],"volume":"21","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-01-17","publicationStatus":"PW","scienceBaseUri":"51f8d259e4b0cecbe8fa9828","contributors":{"authors":[{"text":"McKenzie, Jeffery M.","contributorId":85068,"corporation":false,"usgs":true,"family":"McKenzie","given":"Jeffery","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":468389,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Voss, Clifford I. 0000-0001-5923-2752 cvoss@usgs.gov","orcid":"https://orcid.org/0000-0001-5923-2752","contributorId":1559,"corporation":false,"usgs":true,"family":"Voss","given":"Clifford","email":"cvoss@usgs.gov","middleInitial":"I.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":468388,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ]}