Since the original publication of the Death Valley regional groundwater flow system (DVRFS) numerical model in 2004, more information on the regional groundwater flow system in the form of new data and interpretations has been compiled. Cooperators such as the Bureau of Land Management, National Park Service, U.S. Fish and Wildlife Service, the Department of Energy, and Nye County, Nevada, recognized a need to update the existing regional numerical model to maintain its viability as a groundwater management tool for regional stakeholders. The existing DVRFS numerical flow model was converted to MODFLOW-2005, updated with the latest available data, and recalibrated. Five main data sets were revised: (1) recharge from precipitation varying in time and space, (2) pumping data, (3) water-level observations, (4) an updated regional potentiometric map, and (5) a revision to the digital hydrogeologic framework model.
The resulting DVRFS version 2.0 (v. 2.0) numerical flow model simulates groundwater flow conditions for the Death Valley region from 1913 to 2003 to correspond to the time frame for the most recently published (2008) water-use data. The DVRFS v 2.0 model was calibrated by using the Tikhonov regularization functionality in the parameter estimation and predictive uncertainty software PEST. In order to assess the accuracy of the numerical flow model in simulating regional flow, the fit of simulated to target values (consisting of hydraulic heads and flows, including evapotranspiration and spring discharge, flow across the model boundary, and interbasin flow; the regional water budget; values of parameter estimates; and sensitivities) was evaluated. This evaluation showed that DVRFS v. 2.0 simulates conditions similar to DVRFS v. 1.0. Comparisons of the target values with simulated values also indicate that they match reasonably well and in some cases (boundary flows and discharge) significantly better than in DVRFS v. 1.0.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165150","collaboration":"Prepared in cooperation with the Bureau of Land Management, National Park Service, U.S. Department of Energy National Nuclear Security Administration (Interagency Agreement DE–AI52–01NV13944), and Office of Civilian Radioactive Waste Management (Interagency Agreement DE–AI28–02RW12167), U.S. Fish and Wildlife Service, and Nye County, Nevada","usgsCitation":"Belcher, W.R., Sweetkind, D.S., Faunt, C.C., Pavelko, M.T., and Hill, M.C., 2017, An update of the Death Valley regional groundwater flow system transient model, Nevada and California: U.S. Geological Survey Scientific Investigations Report 2016-5150, 74 p., 1 pl. https://doi.org/10.3133/sir20165150","productDescription":"Report: x, 74 p.; Plate: 18 x 26 inches","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-045053","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":333413,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5150/coverthb.jpg"},{"id":333414,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5150/sir20165150.pdf","text":"Report","size":"4.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5150 Report PDF"},{"id":333415,"rank":3,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2016/5150/sir20165150_plate.pdf","text":"Plate 1","size":"5.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5150 Plate 1"}],"country":"United States","state":"California, Nevada","otherGeospatial":"Death Valley regional groundwater flow system","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118,\n 35\n ],\n [\n -118,\n 38.25\n ],\n [\n -115,\n 38.25\n ],\n [\n -115,\n 35\n ],\n [\n -118,\n 35\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Nevada Water Science Center
U.S. Geological Survey
2730 N. Deer Run Rd.
Carson City, NV 89701
http://nevada.usgs.gov/
As part of the ZERT program, sediments from two wells at the ZERT site, located in Bozeman, Montana, USA were reacted with a solution having the composition of local groundwater. A total of 50 water samples were collected from 7 containers placed for 15 days in a glove box with one atmosphere of CO2 to investigate detailed changes in the concentrations of major, minor and trace inorganic compounds, and to compare these with changes observed in groundwater at the ZERT site following CO2 injection. Laboratory results included rapid changes in pH (8.6 to 5.7), alkalinity (243 to 1295 mg/L as HCO3), electrical conductance (539 to 1822 μS/cm), Ca (28 to 297 mg/L), Mg (18 to 63 mg/L), Fe (5 to 43 μg/L) and Mn (2 to 837 μg/L) following CO2 injection. These chemical changes, which are in general agreement with those obtained from sampling the ZERT monitoring wells, could provide early detection of CO2 leakage into shallow groundwater. Dissolution of calcite, some dolomite and minor Mn-oxides, and desorption/ion exchange are likely the main geochemical processes responsible for the observed changes.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.proeps.2016.12.043","usgsCitation":"Kharaka, Y.K., Thordsen, J., Abedini, A.A., Beers, S., and Thomas, B., 2017, Changes in the Chemistry of Groundwater Reacted with CO2: Comparison of Laboratory Results with the ZERT Field Pilot: Procedia Earth and Planetary Science, v. 17, p. 241-244, https://doi.org/10.1016/j.proeps.2016.12.043.","productDescription":"4 p.","startPage":"241","endPage":"244","ipdsId":"IP-078040","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":470131,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.proeps.2016.12.043","text":"Publisher Index Page"},{"id":333489,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5881ded1e4b01192927d9f69","contributors":{"authors":[{"text":"Kharaka, Yousif K. 0000-0001-9861-8260 ykharaka@usgs.gov","orcid":"https://orcid.org/0000-0001-9861-8260","contributorId":1928,"corporation":false,"usgs":true,"family":"Kharaka","given":"Yousif","email":"ykharaka@usgs.gov","middleInitial":"K.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":658934,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thordsen, James J. jthordsn@usgs.gov","contributorId":3329,"corporation":false,"usgs":true,"family":"Thordsen","given":"James J.","email":"jthordsn@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":658935,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Abedini, Atosa A.","contributorId":69668,"corporation":false,"usgs":false,"family":"Abedini","given":"Atosa","email":"","middleInitial":"A.","affiliations":[{"id":6672,"text":"former: USGS Southwest Biological Science Center, Colorado Plateau Research Station, Flagstaff, AZ. Current address: TN-SCORE, Univ of Tennessee, Knoxville, TN, e-mail: jennen@gmail.com","active":true,"usgs":false}],"preferred":false,"id":658936,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Beers, Sarah","contributorId":178450,"corporation":false,"usgs":false,"family":"Beers","given":"Sarah","affiliations":[],"preferred":false,"id":658937,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thomas, Burt","contributorId":178451,"corporation":false,"usgs":false,"family":"Thomas","given":"Burt","email":"","affiliations":[],"preferred":false,"id":658938,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70179831,"text":"70179831 - 2017 - A detached eddy simulation model for the study of lateral separation zones along a large canyon-bound river","interactions":[],"lastModifiedDate":"2017-02-24T10:43:40","indexId":"70179831","displayToPublicDate":"2017-01-19T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2318,"text":"Journal of Geophysical Research F: Earth Surface","active":true,"publicationSubtype":{"id":10}},"title":"A detached eddy simulation model for the study of lateral separation zones along a large canyon-bound river","docAbstract":"Lateral flow separation occurs in rivers where banks exhibit strong curvature. In canyon-boundrivers, lateral recirculation zones are the principal storage of fine-sediment deposits. A parallelized,three-dimensional, turbulence-resolving model was developed to study the flow structures along lateralseparation zones located in two pools along the Colorado River in Marble Canyon. The model employs thedetached eddy simulation (DES) technique, which resolves turbulence structures larger than the grid spacingin the interior of the flow. The DES-3D model is validated using Acoustic Doppler Current Profiler flowmeasurements taken during the 2008 controlled flood release from Glen Canyon Dam. A point-to-pointvalidation using a number of skill metrics, often employed in hydrological research, is proposed here forfluvial modeling. The validation results show predictive capabilities of the DES model. The model reproducesthe pattern and magnitude of the velocity in the lateral recirculation zone, including the size and position ofthe primary and secondary eddy cells, and return current. The lateral recirculation zone is open, havingcontinuous import of fluid upstream of the point of reattachment and export by the recirculation returncurrent downstream of the point of separation. Differences in magnitude and direction of near-bed andnear-surface velocity vectors are found, resulting in an inward vertical spiral. Interaction between therecirculation return current and the main flow is dynamic, with large temporal changes in flow direction andmagnitude. Turbulence structures with a predominately vertical axis of vorticity are observed in the shearlayer becoming three-dimensional without preferred orientation downstream.","language":"English","publisher":"AGU Publications","doi":"10.1002/2016JF003895","usgsCitation":"Alvarez, L.V., Schmeeckle, M.W., and Grams, P.E., 2017, A detached eddy simulation model for the study of lateral separation zones along a large canyon-bound river: Journal of Geophysical Research F: Earth Surface, v. 122, no. 1, p. 25-49, https://doi.org/10.1002/2016JF003895.","productDescription":"25 p.","startPage":"25","endPage":"49","ipdsId":"IP-064012","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":470127,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016jf003895","text":"Publisher Index Page"},{"id":333438,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Colorado River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -112.5,\n 36\n ],\n [\n -112.5,\n 37\n ],\n [\n -111.5,\n 37\n ],\n [\n -111.5,\n 36\n ],\n [\n -112.5,\n 36\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"122","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-04","publicationStatus":"PW","scienceBaseUri":"5881ded2e4b01192927d9f6d","chorus":{"doi":"10.1002/2016jf003895","url":"http://dx.doi.org/10.1002/2016jf003895","publisher":"Wiley-Blackwell","authors":"Alvarez Laura V., Schmeeckle Mark W., Grams Paul E.","journalName":"Journal of Geophysical Research: Earth Surface","publicationDate":"1/2017","auditedOn":"1/7/2017","publiclyAccessibleDate":"1/4/2017"},"contributors":{"authors":[{"text":"Alvarez, Laura V.","contributorId":178431,"corporation":false,"usgs":false,"family":"Alvarez","given":"Laura","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":658860,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schmeeckle, Mark W.","contributorId":178432,"corporation":false,"usgs":false,"family":"Schmeeckle","given":"Mark","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":658861,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grams, Paul E. 0000-0002-0873-0708 pgrams@usgs.gov","orcid":"https://orcid.org/0000-0002-0873-0708","contributorId":1830,"corporation":false,"usgs":true,"family":"Grams","given":"Paul","email":"pgrams@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":658859,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70179852,"text":"70179852 - 2017 - Range-wide connectivity of priority areas for Greater Sage-Grouse: Implications for long-term conservation from graph theory","interactions":[{"subject":{"id":70156414,"text":"ofr20151158 - 2015 - Range-wide network of priority areas for greater sage-grouse - a design for conserving connected distributions or isolating individual zoos?","indexId":"ofr20151158","publicationYear":"2015","noYear":false,"title":"Range-wide network of priority areas for greater sage-grouse - a design for conserving connected distributions or isolating individual zoos?"},"predicate":"SUPERSEDED_BY","object":{"id":70179852,"text":"70179852 - 2017 - Range-wide connectivity of priority areas for Greater Sage-Grouse: Implications for long-term conservation from graph theory","indexId":"70179852","publicationYear":"2017","noYear":false,"title":"Range-wide connectivity of priority areas for Greater Sage-Grouse: Implications for long-term conservation from graph theory"},"id":1}],"lastModifiedDate":"2017-11-22T17:01:19","indexId":"70179852","displayToPublicDate":"2017-01-19T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3551,"text":"The Condor","active":true,"publicationSubtype":{"id":10}},"title":"Range-wide connectivity of priority areas for Greater Sage-Grouse: Implications for long-term conservation from graph theory","docAbstract":"The delineation of priority areas in western North America for managing Greater Sage-Grouse (Centrocercus urophasianus) represents a broad-scale experiment in conservation biology. The strategy of limiting spatial disturbance and focusing conservation actions within delineated areas may benefit the greatest proportion of Greater Sage-Grouse. However, land use under normal restrictions outside priority areas potentially limits dispersal and gene flow, which can isolate priority areas and lead to spatially disjunct populations. We used graph theory, representing priority areas as spatially distributed nodes interconnected by movement corridors, to understand the capacity of priority areas to function as connected networks in the Bi-State, Central, and Washington regions of the Greater Sage-Grouse range. The Bi-State and Central networks were highly centralized; the dominant pathways and shortest linkages primarily connected a small number of large and centrally located priority areas. These priority areas are likely strongholds for Greater Sage-Grouse populations and might also function as refugia and sources. Priority areas in the Central network were more connected than those in the Bi-State and Washington networks. Almost 90% of the priority areas in the Central network had ≥2 pathways to other priority areas when movement through the landscape was set at an upper threshold (effective resistance, ER12). At a lower threshold (ER4), 83 of 123 priority areas in the Central network were clustered in 9 interconnected subgroups. The current conservation strategy has risks; 45 of 61 priority areas in the Bi-State network, 68 of 123 in the Central network, and all 4 priority areas in the Washington network had ≤1 connection to another priority area at the lower ER4threshold. Priority areas with few linkages also averaged greater environmental resistance to movement along connecting pathways. Without maintaining corridors to larger priority areas or a clustered group, isolation of small priority areas could lead to regional loss of Greater Sage-Grouse
","language":"English","publisher":"American Ornithological Society","doi":"10.1650/CONDOR-16-60.1","usgsCitation":"Crist, M., Knick, S.T., and Hanser, S.E., 2017, Range-wide connectivity of priority areas for Greater Sage-Grouse: Implications for long-term conservation from graph theory: The Condor, v. 119, no. 1, p. 44-57, https://doi.org/10.1650/CONDOR-16-60.1.","productDescription":"14 p.","startPage":"44","endPage":"57","ipdsId":"IP-069576","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":470130,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1650/condor-16-60.1","text":"Publisher Index Page"},{"id":333435,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"119","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5881ded1e4b01192927d9f67","contributors":{"authors":[{"text":"Crist, Michele R.","contributorId":178453,"corporation":false,"usgs":false,"family":"Crist","given":"Michele R.","affiliations":[],"preferred":false,"id":658954,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Knick, Steven T. 0000-0003-4025-1704 steve_knick@usgs.gov","orcid":"https://orcid.org/0000-0003-4025-1704","contributorId":159,"corporation":false,"usgs":true,"family":"Knick","given":"Steven","email":"steve_knick@usgs.gov","middleInitial":"T.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":658952,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hanser, Steven E. 0000-0002-4430-2073 shanser@usgs.gov","orcid":"https://orcid.org/0000-0002-4430-2073","contributorId":127554,"corporation":false,"usgs":true,"family":"Hanser","given":"Steven","email":"shanser@usgs.gov","middleInitial":"E.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":658953,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70179846,"text":"70179846 - 2017 - Projected impacts of climate, urbanization, water management, and wetland restoration on waterbird habitat in California’s Central Valley","interactions":[],"lastModifiedDate":"2017-02-08T13:32:47","indexId":"70179846","displayToPublicDate":"2017-01-19T00:00:00","publicationYear":"2017","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":"Projected impacts of climate, urbanization, water management, and wetland restoration on waterbird habitat in California’s Central Valley","docAbstract":"The Central Valley of California is one of the most important regions for wintering waterbirds in North America despite extensive anthropogenic landscape modification and decline of historical wetlands there. Like many other mediterranean-climate ecosystems across the globe, the Central Valley has been subject to a burgeoning human population and expansion and intensification of agricultural and urban development that have impacted wildlife habitats. Future effects of urban development, changes in water supply management, and precipitation and air temperature related to global climate change on area of waterbird habitat in the Central Valley are uncertain, yet potentially substantial. Therefore, we modeled area of waterbird habitats for 17 climate, urbanization, water supply management, and wetland restoration scenarios for years 2006–2099 using a water resources and scenario modeling framework. Planned wetland restoration largely compensated for adverse effects of climate, urbanization, and water supply management changes on habitat areas through 2065, but fell short thereafter for all except one scenario. Projected habitat reductions due to climate models were more frequent and greater than under the recent historical climate and their magnitude increased through time. After 2065, area of waterbird habitat in all scenarios that included severe warmer, drier climate was projected to be >15% less than in the “existing” landscape most years. The greatest reduction in waterbird habitat occurred in scenarios that combined warmer, drier climate and plausible water supply management options affecting priority and delivery of water available for waterbird habitats. This scenario modeling addresses the complexity and uncertainties in the Central Valley landscape, use and management of related water supplies, and climate to inform waterbird habitat conservation and other resource management planning. Results indicate that increased wetland restoration and additional conservation and climate change adaptation strategies may be warranted to maintain habitat adequate to support waterbirds in the Central Valley.
","language":"English","publisher":"PLoS ONE","doi":"10.1371/journal.pone.0169780","usgsCitation":"Matchett, E., and Fleskes, J.P., 2017, Projected impacts of climate, urbanization, water management, and wetland restoration on waterbird habitat in California’s Central Valley: PLoS ONE, v. 12, no. 1, e0169780; 23 p., https://doi.org/10.1371/journal.pone.0169780.","productDescription":"e0169780; 23 p.","ipdsId":"IP-080857","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":470129,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0169780","text":"Publisher Index Page"},{"id":333436,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":334996,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7H13050","text":"Data for projected impacts of climate, urbanization, water management, and wetland restoration on waterbird habitat in California’s Central Valley"}],"country":"United States","state":"California","otherGeospatial":"Central Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.89306640624999,\n 40.329795743702064\n ],\n [\n -122.135009765625,\n 38.039438891821746\n ],\n [\n -119.454345703125,\n 34.985003130171066\n ],\n [\n -118.77319335937499,\n 34.903952965590065\n ],\n [\n -118.57543945312501,\n 35.18278813800229\n ],\n [\n -118.80615234374999,\n 36.20882309283712\n ],\n [\n -119.91577148437499,\n 37.431250501793585\n ],\n [\n -121.212158203125,\n 38.89958342598271\n ],\n [\n -121.761474609375,\n 40.12009038025332\n ],\n [\n -122.18994140624999,\n 40.66397287638688\n ],\n [\n -122.89306640624999,\n 40.329795743702064\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"12","issue":"1","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-09","publicationStatus":"PW","scienceBaseUri":"5881ded1e4b01192927d9f6b","contributors":{"authors":[{"text":"Matchett, Elliott 0000-0001-5095-2884 ematchett@usgs.gov","orcid":"https://orcid.org/0000-0001-5095-2884","contributorId":5541,"corporation":false,"usgs":true,"family":"Matchett","given":"Elliott","email":"ematchett@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":658927,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fleskes, Joseph P. 0000-0001-5388-6675 joe_fleskes@usgs.gov","orcid":"https://orcid.org/0000-0001-5388-6675","contributorId":177154,"corporation":false,"usgs":true,"family":"Fleskes","given":"Joseph","email":"joe_fleskes@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":658926,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70176890,"text":"ofr20161173 - 2017 - Soil data for a thermokarst bog and the surrounding permafrost plateau forest, located at Bonanza Creek Long Term Ecological Research Site, Interior Alaska","interactions":[],"lastModifiedDate":"2017-01-20T09:28:11","indexId":"ofr20161173","displayToPublicDate":"2017-01-19T00:00:00","publicationYear":"2017","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":"2016-1173","title":"Soil data for a thermokarst bog and the surrounding permafrost plateau forest, located at Bonanza Creek Long Term Ecological Research Site, Interior Alaska","docAbstract":"Peatlands play an important role in boreal ecosystems, storing a large amount of soil organic carbon. In northern ecosystems, collapse-scar bogs (also known as thermokarst bogs) often form as the result of ground subsidence following permafrost thaw. To examine how ecosystem carbon balance changes with the loss of permafrost, we measured carbon and nitrogen storage within a thermokarst bog and the surrounding forest, which continues to have permafrost. These sites are a part of the Bonanza Creek Long Term Ecological Research (LTER) site and are located within Interior Alaska. Here, we report on methods used for core collection analysis as well as the cores’ physical, chemical, and descriptive properties.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161173","usgsCitation":"Manies, K.L., Fuller, C.C., Jones, M.C., Waldrop, M.P., and McGeehin, J.P., 2017, Soil data for a thermokarst bog and the surrounding permafrost plateau forest, located at Bonanza Creek Long Term Ecological Research Site, Interior Alaska: U.S. Geological Survey Open-File Report 2016–1173, 11 p., https://dx.doi.org/10.3133/ofr20161173.","productDescription":"iv, 11 p.","startPage":"1","endPage":"11","numberOfPages":"16","onlineOnly":"Y","ipdsId":"IP-076806","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":333517,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2016/1173/ofr20161173_appendix.zip","text":"Data Files","size":"173 kB","linkFileType":{"id":6,"text":"zip"},"description":"OFR 2016–1173 Data 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\"}}]}","contact":"Contact Information
Soil Carbon Research - Menlo Park
U.S. Geological Survey
345 Middlefield Road, MS 962
Menlo Park, CA 94025
https://carbon.wr.usgs.gov/
https://carbon.wr.usgs.gov/people.html
Water, bed sediment, and biota were sampled in selected streams from Butte to near Missoula, Montana, as part of a monitoring program in the upper Clark Fork Basin of western Montana. The sampling program was led by the U.S. Geological Survey, in cooperation with the U.S. Environmental Protection Agency, to characterize aquatic resources in the Clark Fork Basin, with emphasis on trace elements associated with historic mining and smelting activities. Sampling sites were located on the Clark Fork and selected tributaries. Water samples were collected periodically at 20 sites from October 2014 through September 2015. Bed-sediment and biota samples were collected once at 13 sites during August 2015.
This report presents the analytical results and quality-assurance data for water-quality, bed-sediment, and biota samples collected at sites from October 2014 through September 2015. Water-quality data include concentrations of selected major ions, trace elements, and suspended sediment. At 12 sites, samples for analysis of dissolved organic carbon and turbidity were collected. In addition, samples for analysis of nitrogen (nitrate plus nitrite) were collected at two sites. Daily values of mean suspended-sediment concentration and suspended-sediment discharge were determined for three sites. Seasonal daily values of turbidity were determined for four sites. Bed-sediment data include trace-element concentrations in the fine-grained fraction. Biological data include trace-element concentrations in whole-body tissue of aquatic benthic insects. Statistical summaries of water-quality, bed-sediment, and biological data for sites in the upper Clark Fork Basin are provided for the period of record.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161201","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency","usgsCitation":"Dodge, K.A., Hornberger, M.I., and Turner, M.A., 2017, Water-quality, bed-sediment, and biological data (October 2014 through September 2015) and statistical summaries of data for streams in the Clark Fork Basin, Montana: U.S. Geological Survey Open-File Report 2016–1201, 122 p., https://doi.org/10.3133/ofr20161201.","productDescription":"vi, 122 p.","numberOfPages":"132","onlineOnly":"N","ipdsId":"IP-078474","costCenters":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"links":[{"id":333419,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1201/ofr20161201.pdf","text":"Report","size":"3.09 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016–1201"},{"id":333418,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1201/coverthb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Clark Fork Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114,\n 45.75\n ],\n [\n -114,\n 47\n ],\n [\n -112,\n 47\n ],\n [\n -112,\n 45.75\n ],\n [\n -114,\n 45.75\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Wyoming-Montana Water Science Center
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The Salton Sea (Sea) is an ecosystem facing large systemic changes in the near future. Managers and stakeholders are seeking solutions to the decline of the Sea and have turned to the scientific community for answers. In response, scientists gathered in Irvine, California, to review existing science and propose scientific studies and monitoring needs required for understanding how to retain the Sea as a functional ecosystem. This document summarizes the proceedings of this gathering of approximately 50 scientists at a September 8–10, 2014, workshop on the State of the Salton Sea.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171005","usgsCitation":"Barnum, D.A., Bradley, T., Cohen, M., Wilcox, B., and Yanega, G., 2017, State of the Salton Sea—A science and monitoring meeting of scientists for the Salton Sea: U.S. Geological Survey Open-File Report 2017–1005, 20 p., https://doi.org/10.3133/ofr20171005.","productDescription":"Report: viii, 20 p.; Appendixes: 1-8","onlineOnly":"Y","ipdsId":"IP-059523","costCenters":[{"id":550,"text":"Salton Sea Science Office","active":true,"usgs":true}],"links":[{"id":333507,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2017/1005/ofr20171005_appendix1to8.pdf","text":"Appendix 1 to 8","size":"1.63 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017–1005 Appendix 1 to 8"},{"id":333493,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1005/ofr20171005.pdf","text":"Report","size":"2.99 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6000 J Street, Placer Hall
Suite 5000
Sacramento, CA 95819
https://www.usgs.gov/science/regions/pacific
","tableOfContents":"The Bureau of Land Management (BLM) is implementing a landscape approach to resource management (hereafter, landscape approach) to more effectively work with partners and understand the effects of management decisions. A landscape approach is a set of concepts and principles used to guide resource management when multiple stakeholders are involved and goals include diverse and sustainable social, environmental, and economic outcomes. Core principles of a landscape approach include seeking meaningful participation of diverse stakeholders, considering diverse resource values in multifunctional landscapes, acknowledging the tradeoffs needed to meet diverse objectives in the context of sustainable resource management, and addressing the complexity of social and ecological processes by embracing interdisciplinarity and considering multiple and broad spatial and temporal perspectives.
In chapter 1, we outline the overall goal of this report: to provide a conceptual foundation and framework for implementing a landscape approach to resource management in the BLM, focusing on the role of multiscale natural resource monitoring and assessment information. In chapter 2, we describe a landscape approach to resource management. BLM actions taken to implement a landscape approach include a major effort to compile broad-scale data on natural resource status and condition across much of the west. These broadscale data now provide a regional context for interpreting monitoring data collected at individual sites and informing decisions made for local projects. We also illustrate the utility of using multiscale data to understand potential effects of different resource management decisions, define relevant terms in landscape ecology, and identify spatial scales at which planning and management decisions may be evaluated.
In chapter 3, we describe how the BLM Rapid Ecoregional Assessment program and Assessment, Inventory and Monitoring program may be integrated to provide the multiscale monitoring data needed to inform a landscape approach. We propose six core, broad-scale indicators of natural resource status and condition: the amount, spatial distribution, patch size and connectivity of ecosystems and wildlife habitats, and the pattern of existing development across the landscape. Additional supplemental broad-scale indicators may include fire return intervals, distributions of invasive species, and vulnerability of ecosystems to a changing climate. Landscape intactness is an additional derived indicator that is calculated from one or more of the core and supplemental broad-scale indicators. We then outline a process for assessing broad-scale indicators that is consistent with the overall BLM Assessment, Inventory, and Monitoring process, facilitating development of a multiscale natural resource monitoring program. Finally, we describe how broad-scale indicators of natural resource status and condition may guide field monitoring implemented through the BLM Assessment, Inventory and Monitoring program and help address complex management questions.
In chapter 4, we consider the specific question of assessing the ecological integrity of rangelands across the western United States. We first define ecological integrity and its relation to land health. We then suggest that a combination of six local-scale indicators collected through field sampling at individual sites and five complementary broad-scale indicators together provide information on the composition, structure, and function of rangelands. The terrestrial monitoring indicators collected at the level of individual field sites are the amount of bare ground, vegetation composition (including invasive plants and plants of management concern), vegetation height, and the proportion of the soil surface in large intercanopy gaps. The broad-scale indicators are vegetation amount, distribution, patch size, connectivity, and productivity, along with the pattern of terrestrial development. Our suggested approach to quantifying ecological integrity focuses specifically on informing management of public lands for multiple resource uses, and illustrates how existing data collected through BLM monitoring and assessment programs may be used together to provide multiscale information on land condition across broad extents.
In chapter 5, we develop a method for quantifying landscape intactness and apply this method to the western United States. Our multiscale index of landscape intactness is designed to be defensible, decomposable, and easy to understand. The foundation of the multiscale index of landscape intactness is the surface disturbance footprint of anthropogenic development, including energy and urban development, roads and railroads, cultivated croplands, surface mines and quarries, and energy transmission lines and pipelines. The index represents a gradient of anthropogenic influence as represented by development summarized at two spatial scales of analysis: 2.5 and 20 kilometers. We provide several example applications of the index, illustrating how these data may inform natural resource decisions at the spatial extent of BLM field and district offices, states, ecoregions, and the western United States. We find that 19.2 percent of lands managed by the BLM across the 17 western states of the conterminous United States had the highest landscape intactness. The largest intact areas occur on public lands at high elevations or in the Great Basin.
We believe the frameworks, processes, and analyses provided in this report will improve the ability of the BLM to identify and evaluate potential direct and indirect effects of management actions (such as habitat restoration and renewable energy development), and assist the BLM in further implementing a landscape approach to resource management.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161207","collaboration":"Prepared in cooperation with the Bureau of Land Management","usgsCitation":"Carter, S.K., Carr, N.B., Miller, K.H., and Wood, D.J.A., eds., 2017, Multiscale guidance and tools for implementing a landscape approach to resource management in the Bureau of Land Management: U.S. Geological Survey Open-File Report 2016–1207, 79 p., https://doi.org/10.3133/ofr20161207.","productDescription":"ix, 79 p.","onlineOnly":"N","ipdsId":"IP-067654","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":438449,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P93ZU0R9","text":"USGS data release","linkHelpText":"Terrestrial Development Index for the Western United States: 1-kilometer moving window"},{"id":438448,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F75H7DCW","text":"USGS data release","linkHelpText":"A Multiscale Index of Landscape Intactness for the Western U.S."},{"id":333376,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1207/coverthb.jpg"},{"id":333377,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1207/ofr20161207.pdf","text":"Report","size":"2.54 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016–1207"},{"id":345199,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://www.sciencebase.gov/catalog/item/57d8779de4b090824ff9acfb","text":"USGS Data Release","description":"USGS data release","linkHelpText":"A Multiscale Index of Landscape Intactness for the Western United States"}],"contact":"Director, Fort Collins Science Center
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As part of the National Water Availability and Use Program established by the U.S. Geological Survey (USGS) in 2005, this study took advantage of about 14 million records from State-managed collections of water-well drillers’ records and created a database of hydrogeologic properties for the glaciated United States. The water-well drillers’ records were standardized to be relatively complete and error-free and to provide consistent variables and naming conventions that span all State boundaries.
Maps and geospatial grids were developed for (1) total thickness of glacial deposits, (2) total thickness of coarse-grained deposits, (3) specific-capacity based transmissivity and hydraulic conductivity, and (4) texture-based estimated equivalent horizontal and vertical hydraulic conductivity and transmissivity. The information included in these maps and grids is required for most assessments of groundwater availability, in addition to having applications to studies of groundwater flow and transport. The texture-based estimated equivalent horizontal and vertical hydraulic conductivity and transmissivity were based on an assumed range of hydraulic conductivity values for coarse- and fine-grained deposits and should only be used with complete awareness of the methods used to create them. However, the maps and grids of texture-based estimated equivalent hydraulic conductivity and transmissivity may be useful for application to areas where a range of measured values is available for re-scaling.
Maps of hydrogeologic information for some States are presented as examples in this report but maps and grids for all States are available electronically at the project Web site (USGS Glacial Aquifer System Groundwater Availability Study, http://mi.water.usgs.gov/projects/WaterSmart/Map-SIR2015-5105.html) and the Science Base Web site, https://www.sciencebase.gov/catalog/item/58756c7ee4b0a829a3276352.
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5957 Lakeside Blvd
Indianapolis, IN 46278
Phone: (317) 290-3333
https://in.water.usgs.gov/
The purpose of this document is to describe a strategy by which monitoring and research data in the natural and social sciences will be collected, analyzed, and provided to the U.S. Department of the Interior (DOI), its bureaus, and to the Glen Canyon Dam Adaptive Management Program (GCDAMP) in support of implementation of the Glen Canyon Dam Long-Term Experimental and Management Plan (LTEMP) (U.S. Department of the Interior, 2016a). The selected alternative identified in the LTEMP Record of Decision (ROD) (U.S. Department of the Interior, 2016b) describes various data collection, analysis, modeling, and interpretation efforts to be conducted by the U.S. Geological Survey’s (USGS) Grand Canyon Monitoring and Research Center (GCMRC), partner agencies, and cooperators that will inform decisions about operations of Glen Canyon Dam and management of downstream resources between 2017 and 2037, the performance period of the LTEMP. General data collection, analysis, modeling, and interpretation activities are described in this science plan, whereas specific monitoring and research activities and detailed study plans are to be described in the GCDAMP’s triennial work plans (TWPs) to be developed by the Bureau of Reclamation and GCMRC with input from partner agencies and cooperators during the LTEMP period, which are to be reviewed and recommended by the GCDAMP and approved by the Secretary of the Interior.
The GCDAMP consists of several components, the primary committee being the Adaptive Management Work Group (AMWG). This Federal advisory committee is composed of 25 agencies and stakeholder groups and is chaired by the Secretary of the Interior’s designee. The AMWG makes recommendations to the Secretary of the Interior concerning operations of Glen Canyon Dam and other experimental management actions that are intended to fulfill some obligations of the Grand Canyon Protection Act of 1992. The Technical Work Group (TWG) is a subcommittee of the AMWG and provides technical advice to the AMWG. It is composed of technical and science representatives from the same agencies and stakeholder groups who serve on the AMWG. GCMRC is the primary science provider to the GCDAMP and also coordinates many aspects of the science performed by cooperators and partner agencies. The Science Advisors Program provides independent science reviews and advice at the request of the GCDAMP.
The plan proposed here necessarily depends on (1) the protocol for decision-making and the requirements for scientific data reporting described in the LTEMP ROD, (2) the priorities of the GCDAMP as directed by the LTEMP ROD (see Department of the Interior, 2016b, section 6.1), (3) the priorities for monitoring and research in the conservation measures section of the Biological Opinion for the LTEMP (U.S. Department of the Interior, 2016b, LTEMP ROD attachment E), (4) the priorities for resource management and information needs established by Federal and State resource-management agencies within the GCDAMP, (5) scientific understanding about the linkage between the status of those resources and operations of Glen Canyon Dam, and (6) the need to resolve existing scientific uncertainties about the linkage between dam operations and the condition of resources. We note that resource-management prioritization is fundamentally a policy decision charged specifically to DOI for the Colorado River in Glen and Grand Canyons, as outlined most recently in the LTEMP ROD, and is not the responsibility of the GCMRC. However, it is the responsibility of the GCMRC to describe the nature of scientific understanding, the nature of scientific uncertainty, and the risk of making resourcemanagement decisions in the face of existing scientific uncertainty. The goals of science activities in the next 20 years are to inform operational decisions regarding Glen Canyon Dam operations described in the LTEMP ROD, resolve remaining scientific uncertainties, and to monitor resource trends that are affected entirely, or in part, by dam operations.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171006","usgsCitation":"VanderKooi, S.P., Kennedy, T.A., Topping, D.J., Grams, P.E., Ward, D.L., Fairley, H.C., Bair, L.S., Sankey, J.B., Yackulic, C.B., and Schmidt, J.C., 2017, Scientific monitoring plan in support of the selected alternative of the Glen Canyon Dam Long-Term Experimental and Management Plan: U.S. Geological Survey Open-File Report 2017-1006, 18 p., https://doi.org/10.3133/ofr20171006.","productDescription":"v, 18 p.","numberOfPages":"24","onlineOnly":"Y","ipdsId":"IP-082810","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":333410,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1006/ofr20171006.pdf","text":"Report","size":"165 KB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1006 report PDF"},{"id":333409,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1006/coverthb.gif"}],"contact":"GCMRC Staff, Southwest Biological Science Center
U.S. Geological Survey
Grand Canyon Monitoring and Research Center
2255 N. Gemini Drive
Flagstaff, AZ 86001
https://www.gcmrc.gov/
Groundwater provides more than 40 percent of California’s drinking water. To protect this vital resource, the State of California created the Groundwater Ambient Monitoring and Assessment (GAMA) Program. The Priority Basin Project of the GAMA Program provides a comprehensive assessment of the State’s groundwater quality and increases public access to groundwater-quality information. The shallow aquifers of the Tulare, Kaweah, and Tule groundwater basins and adjacent highlands areas of the southern San Joaquin Valley constitute one of the study units being evaluated.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/fs20173001","collaboration":"U.S. Department of the Interior U.S. Geological Survey Fact Sheet 2017–3001 January 2017 U.S. Geological Survey and the California State Water Resources Control Board","usgsCitation":"Fram, Miranda, 2017, Groundwater quality in the shallow aquifers of the Tulare, Kaweah, and Tule Groundwater Basins and adjacent highlands areas, Southern San Joaquin Valley, California: U.S. Geological Survey Fact Sheet 2017-3001, 4 p.","productDescription":"Report: 4 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-079416","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":438451,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7BP00W8","text":"USGS data release","linkHelpText":"Groundwater-Quality Data in the Tule-Tulare-Highlands-Kaweah Shallow Aquifer Study Unit, 2014-2015"},{"id":333354,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2017/3001/coverthb.jpg"},{"id":333355,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2017/3001/fs20173001.pdf","text":"Report","size":"937 KB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2017-3001 PDF"},{"id":333363,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F7BP00W8","text":"USGS data release: ","linkHelpText":" Groundwater-quality data in the Tulare Shallow Aquifer study unit, California GAMA Priority Basin Project"}],"country":"United States","state":"California","otherGeospatial":"San Joaquin Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120,\n 37\n ],\n [\n -120,\n 35.5\n ],\n [\n -118.5,\n 35.5\n ],\n [\n -118.5,\n 37\n ],\n [\n -120,\n 37\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"GAMA Project Chief
U.S. Geological Survey
California Water Science Center
6000 J Street, Placer Hall
Sacramento, CA 95819
Telephone number: (916) 278-3000
WEB: http://ca.water.usgs.gov/gama
The 3D Elevation Program (3DEP) is a cooperative activity to collect light detection and ranging (lidar) data for the conterminous United States, Hawaii, and U.S. territories; and interferometric synthetic aperture radar (IfSAR) elevation data for Alaska during an 8-year period. The U.S. Geological Survey (USGS) and partner organizations acquire high-quality three-dimensional elevation data for the United States and its territories that support requirements beyond what could be realized if agencies independently pursued lidar and IfSAR data collection activities. Data collection rates have been increasing as a growing number of State and Federal agencies participate in cooperative data acquisition projects. USGS and partner agencies expanded data collection, completed the initial product delivery systems and implemented changes to the program governance to include a restructuring of the 3DEP working group and formalizing the relationship to the Federal Geographic Data Committee during the final year (2015) of program preparation.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/ofr20161196","usgsCitation":"Sugarbaker, L.J., Eldridge, D.F., Jason, A.L., Lukas, Vicki, Saghy, D.L., Stoker, J.M., and Thunen, D.R., 2017, Status of the 3D Elevation Program, 2015: U.S. Geological Survey Open-File Report 2016–1196, 13 p., https://dx.doi.org/10.3133/ofr20161196.","productDescription":"v, 13 p.","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-077494","costCenters":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"links":[{"id":333332,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/ofr20151161 ","text":"Open-File Report 2015–1161 - ","linkHelpText":"Status Report for the 3D Elevation Program, 2013–2014"},{"id":333264,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1196/coverthb.jpg"},{"id":333265,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1196/ofr20161196.pdf","text":"Report","size":"10.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1196"}],"contact":"Director, National Geospatial Program
U.S. Geological Survey
12201 Sunrise Valley Drive, MS 511
Reston, VA 20192
Email: 3DEP@usgs.gov
https://www.usgs.gov/ngpo/
https://nationalmap.gov/3DEP/
Within Voyageurs National Park in Minnesota, lake levels are controlled by a series of dams to support a variety of uses. Previous research indicates a link between these artificially maintained water levels, referred to as rule curves, and mercury concentrations in fish owing to the drying and rewetting of wetlands and other nearshore areas, which may release methylmercury into the water when inundated. The U.S. Geological Survey, National Park Service, and University of Wisconsin-La Crosse cooperated in a study to assess the importance of lake-level fluctuation and other factors affecting mercury concentrations in Perca flavescens (yellow perch) in the lakes of Voyageurs National Park. For this study, mercury body burdens were determined for young-of-the-year yellow perch collected from the large lakes within Voyageurs National Park during 2013–15. These mercury body burdens were compared to lake levels and water-quality constituents from the same period.
Field properties and profiles of lake water quality indicated that Sand Point, Little Vermilion, and Crane Lakes were anoxic at times near the lake bottom sediments, where sulfate-reducing bacteria may convert mercury to methylmercury. The median dissolved sulfate concentration was highest in Crane Lake, the median total organic carbon concentration was highest in Sand Point Lake, and the median total phosphorus concentration was highest in Kabetogama Lake, all of which is consistent with previous research. All lakes had median chlorophyll a concentrations of 3.6 micrograms per liter or less with the exception of Kabetogama Lake, where the median concentrations were 4.3 micrograms per liter for the midlake sites and 7.1 micrograms per liter and 9.0 micrograms per liter for the nearshore sites.
Mercury concentrations in sampled fish varied widely between years and among lakes, from 14.7 nanograms per gram in fish samples from Kabetogama Lake in 2015 to 178 nanograms per gram in fish samples from Crane Lake in 2014. Data from this study can be combined with ongoing hydrologic modeling studies to evaluate trends in the mercury body burden of fish and different water-level management scenarios prescribed by the 2000 Rule Curves and the 1970 Rule Curves.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165175","collaboration":"Prepared in cooperation with the National Park Service and the University of Wisconsin-La Crosse","usgsCitation":"Christensen, V.G., Larson, J.H., Maki, R.P., Sandheinrich, M.B., Brigham, M.E., Kissane, Claire, and LeDuc, J.F., 2017, Lake levels and water quality in comparison to fish mercury body burdens, Voyageurs National Park, Minnesota, 2013–15: U.S. Geological Survey Scientific Investigations Report 2016–5175, 17 p., https://doi.org/10.3133/sir20165175.","productDescription":"iv, 17 p.","numberOfPages":"26","onlineOnly":"Y","ipdsId":"IP-079622","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"links":[{"id":333068,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5175/coverthb.jpg"},{"id":333069,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5175/sir20165175.pdf","text":"Report","size":"2.35 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Sir 2016–5175"}],"country":"United States","state":"Minnesota","otherGeospatial":"Voyageurs National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -93.13934326171875,\n 48.25942712329832\n ],\n [\n -93.13934326171875,\n 48.647427805533546\n ],\n [\n -92.39227294921875,\n 48.647427805533546\n ],\n [\n -92.39227294921875,\n 48.25942712329832\n ],\n [\n -93.13934326171875,\n 48.25942712329832\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Minnesota Water Science Center
U.S. Geological Survey
2280 Woodale Drive
Mounds View, MN 55112
Despite concern over the conservation status of many Mongolian salmonids and the importance of their ecological role in Mongolia's aquatic ecosystems, little is known about their basic biology. Hovsgol grayling (Thymallus nigrescens) is endemic to Lake Hovsgol, Mongolia and listed as endangered on the Mongolian Red List. Baikal grayling (T. baicalensis) and lenok (Brachymystax lenok) are found in lakes and rivers throughout the Selenge drainage. A detailed study of the age and growth of these three salmonids was conducted based on 1,682 samples collected from July 2006 to July 2013 in Lake Hovsgol, its outlet the Eg River, and one of the Eg's largest tributaries, the Uur River. Our results suggest that Hovsgol grayling in particular can reach a much older maximum age (17 years in our samples) than previously believed based on aging from scales. Female Hovsgol grayling were heavier at a given length than their male counterparts. Lenok had a greater average length-at-age in Lake Hovsgol compared to the rivers and greater weight-at-length in the warmer Uur River than in the Eg; female lenok from the rivers had a greater average length-at-age than their male counterparts. This study provides critical new information for the management and conservation of these threatened salmonid species in Mongolia.
","language":"English","publisher":"Wiley","doi":"10.1111/jai.13247","usgsCitation":"Tsogtsaikhan, P., Mendsaikhan, B., Jargalmaa, G., Ganzorig, B., Weidel, B., Filosa, C., Free, C., Young, T., and Jensen, O.P., 2017, Age and growth comparisons of Hovsgol grayling (Thymallus nigrescens Dorogostaisky, 1923), Baikal grayling (T. baicalensis Dybowski, 1874), and lenok (Brachymystax lenok Pallas, 1773) in lentic and lotic habitats of Northern Mongolia: Journal of Applied Ichthyology, v. 33, no. 1, p. 108-115, https://doi.org/10.1111/jai.13247.","productDescription":"8 p.","startPage":"108","endPage":"115","ipdsId":"IP-062756","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":470133,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/jai.13247","text":"Publisher Index Page"},{"id":333323,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mongolia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 99.66796875,\n 50.14874640066278\n ],\n [\n 100.94238281249999,\n 50.14874640066278\n ],\n [\n 100.94238281249999,\n 51.67255514839674\n ],\n [\n 99.66796875,\n 51.67255514839674\n ],\n [\n 99.66796875,\n 50.14874640066278\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"33","issue":"1","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-17","publicationStatus":"PW","scienceBaseUri":"58808d3ce4b01dfadfff1527","contributors":{"authors":[{"text":"Tsogtsaikhan, Pureviin","contributorId":178386,"corporation":false,"usgs":false,"family":"Tsogtsaikhan","given":"Pureviin","email":"","affiliations":[],"preferred":false,"id":658676,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mendsaikhan, Budiin","contributorId":178383,"corporation":false,"usgs":false,"family":"Mendsaikhan","given":"Budiin","email":"","affiliations":[],"preferred":false,"id":658673,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jargalmaa, Ganzorigiin","contributorId":178384,"corporation":false,"usgs":false,"family":"Jargalmaa","given":"Ganzorigiin","email":"","affiliations":[],"preferred":false,"id":658674,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ganzorig, Batsaikhanii","contributorId":178385,"corporation":false,"usgs":false,"family":"Ganzorig","given":"Batsaikhanii","email":"","affiliations":[],"preferred":false,"id":658675,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Weidel, Brian 0000-0001-6095-2773 bweidel@usgs.gov","orcid":"https://orcid.org/0000-0001-6095-2773","contributorId":2485,"corporation":false,"usgs":true,"family":"Weidel","given":"Brian","email":"bweidel@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":658672,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Filosa, Christopher","contributorId":178387,"corporation":false,"usgs":false,"family":"Filosa","given":"Christopher","email":"","affiliations":[],"preferred":false,"id":658677,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Free, Christopher","contributorId":178388,"corporation":false,"usgs":false,"family":"Free","given":"Christopher","affiliations":[],"preferred":false,"id":658678,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Young, Talia","contributorId":141088,"corporation":false,"usgs":false,"family":"Young","given":"Talia","email":"","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":658679,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Jensen, Olaf P.","contributorId":92159,"corporation":false,"usgs":false,"family":"Jensen","given":"Olaf","email":"","middleInitial":"P.","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":658680,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70179782,"text":"70179782 - 2017 - Feeding ecology of Brook Silverside, Golden Shiner, and Subyearling Pumpkinseed in a Lake Ontario embayment","interactions":[],"lastModifiedDate":"2017-06-07T10:36:51","indexId":"70179782","displayToPublicDate":"2017-01-18T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Feeding ecology of Brook Silverside, Golden Shiner, and Subyearling Pumpkinseed in a Lake Ontario embayment","docAbstract":"Fish feeding ecology has been shown to vary over a 24-h period in terms of the prey consumed and feeding intensity. Consequently, in order to best determine the interspecific feeding associations within a fish community, examination of the diet at multiple times over a 24-h period is often necessary. We examined the diel feeding ecology of three fish species that were numerically dominant in a Lake Ontario embayment during summer. The diet of each of the three species, young-of-year Pumpkinseed Lepomis gibbosus, Golden Shiner Notemigonus crysoleucas, and Brook Silverside Labidesthes sicculus, was distinct with no significant overlap in diet composition occurring within any of the 4-h time intervals. The diet composition of each species suggested that Brook Silverside were feeding at the surface (terrestrial invertebrates and aquatic surface dwelling hemipterans), whereas young-of-year Pumpkinseed (amphipods) and Golden Shiner (tipulids) were feeding on different benthic prey. Differences in feeding periodicity were most pronounced for young-of-year Pumpkinseed. Our findings provide valuable insights on interspecific feeding associations among these three fish species during summer in a Lake Ontario embayment.
","language":"English","publisher":"Scientific Journals","doi":"10.3996/092016-JFWM-075","usgsCitation":"Johnson, J.H., Chalupnicki, M., Abbett, R., Diaz, A.R., and Nack, C.C., 2017, Feeding ecology of Brook Silverside, Golden Shiner, and Subyearling Pumpkinseed in a Lake Ontario embayment: Journal of Fish and Wildlife Management, v. 8, no. 1, p. 240-248, https://doi.org/10.3996/092016-JFWM-075.","productDescription":"9 p.","startPage":"240","endPage":"248","ipdsId":"IP-079942","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":470132,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/092016-jfwm-075","text":"Publisher Index Page"},{"id":333317,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"1","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-01","publicationStatus":"PW","scienceBaseUri":"58808d3be4b01dfadfff1525","contributors":{"authors":[{"text":"Johnson, James H. 0000-0002-5619-3871 jhjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-5619-3871","contributorId":389,"corporation":false,"usgs":true,"family":"Johnson","given":"James","email":"jhjohnson@usgs.gov","middleInitial":"H.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":658681,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chalupnicki, Marc 0000-0002-3792-9345 mchalupnicki@usgs.gov","orcid":"https://orcid.org/0000-0002-3792-9345","contributorId":173643,"corporation":false,"usgs":true,"family":"Chalupnicki","given":"Marc","email":"mchalupnicki@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":658682,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Abbett, Ross 0000-0001-6276-5541 rabbett@usgs.gov","orcid":"https://orcid.org/0000-0001-6276-5541","contributorId":4359,"corporation":false,"usgs":true,"family":"Abbett","given":"Ross","email":"rabbett@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":658683,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Diaz, Avriel R","contributorId":178389,"corporation":false,"usgs":false,"family":"Diaz","given":"Avriel","email":"","middleInitial":"R","affiliations":[],"preferred":false,"id":658684,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nack, Christopher C","contributorId":178390,"corporation":false,"usgs":false,"family":"Nack","given":"Christopher","email":"","middleInitial":"C","affiliations":[],"preferred":false,"id":658685,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70179462,"text":"ofr20171001 - 2017 - Southern sea otter range expansion and habitat use in the Santa Barbara Channel, California","interactions":[],"lastModifiedDate":"2017-01-18T09:39:10","indexId":"ofr20171001","displayToPublicDate":"2017-01-17T16:00:00","publicationYear":"2017","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":"2017-1001","title":"Southern sea otter range expansion and habitat use in the Santa Barbara Channel, California","docAbstract":"The re-colonization of the Santa Barbara channel by sea otters brings these ESA-listed marine mammals closer to active oil and gas production facilities, shipping lanes and naturally occurring oil and gas seeps. However, the degree to which sea otters may actually be affected by human-caused oil spills or exposure to natural oil seeps is currently unknown. Between 2012 and 2014, the U.S. Geological Survey and collaborating agencies conducted a telemetry-based study of sea otters in Santa Barbara channel, in order to provide critical information for resource managers (specifically the Bureau of Ocean Energy Management, henceforth BOEM, and the U.S. Fish and Wildlife Service, henceforth USFWS) about the spatial ecology, population status, and potential population threats to sea otters in Santa Barbara Channel, with particular reference to exposure to manmade structures and sources of oil and natural gas. Analysis of spatial monitoring data using a Bayesian-based synoptic model allowed for description of sea otter home ranges, identification of hot-spots of use, and insights into habitat selection behavior by male and female sea otters. Important findings included the deeper modal depth preferred by males versus females, strong preferences by both sexes for areas with persistent kelp canopy, and greater use of soft-sediment areas by males. The synoptic model also provided the ability to predict population-level density distribution for each sex in new habitats: by calculating the value of these probability density distributions at the known locations of natural seeps, we were able to identify those seeps with higher potential for sea otter encounters. The relative probability of occurrence at locations near to some seeps was sufficiently high (about 1% likelihood of occurrence for some of our study animals) that one would anticipate occasional encounters. Data on male and female survival, reproductive success, activity budgets, and body condition all indicated that sea otters in Santa Barbara Channel are not resource limited, and thus we would expect to see continued strong population growth in this area. However, the principal cause of death for study animals was lethal bites by white sharks, suggesting that shark bite mortality represents the single biggest threat to continued population growth in the Santa Barbara Channel.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171001","collaboration":"Prepared in cooperation with Bureau of Ocean Energy Management (OCS Study BOEM 2017-002)","usgsCitation":"Tinker, M.T., Tomoleoni, Joseph, LaRoche, Nicole, Bowen, Lizabeth, Miles, A. Keith, Murray, Mike, Staedler,\nMichelle, and Randell, Zach, 2017, Southern sea otter range expansion and habitat use in the Santa Barbara\nChannel, California: U.S. Geological Survey Open-File Report 2017–1001 (OCS Study BOEM 2017-002), 76 p.,\nhttps://doi.org/10.3133/ofr20171001.","productDescription":"vi, 76 p.","numberOfPages":"86","onlineOnly":"Y","ipdsId":"IP-081226","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":333276,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1001/coverthb.jpg"},{"id":333277,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1001/ofr20171001.pdf","text":"Report","size":"7.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1001 Report PDF"}],"country":"United States","state":"California","otherGeospatial":"Santa Barbara Channel","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.465087890625,\n 34.35704160076073\n ],\n [\n -120.465087890625,\n 34.65354458279873\n ],\n [\n -120.13000488281249,\n 34.65354458279873\n ],\n [\n -120.13000488281249,\n 34.35704160076073\n ],\n [\n -120.465087890625,\n 34.35704160076073\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Western Ecological Research Center
U.S. Geological Survey
3020 State University Drive East
Sacramento, California 95819
http://www.werc.usgs.gov/
In the Laurentian Great Lakes, zooplankters are often sampled using standard ≤153 μm mesh nets without regard to the time of day they are collected. We sampled Cercopagidae during 2013–2014 in northern Lake Huron during day, dusk, and night using two different nets (a 0.5 m wide 153 μm mesh “standard” net and a 0.75 m wide 285 μm mesh “Bythotrephes” net) to determine if there were any differences in their sampled densities. Bythotrephes densities with the standard net were approximately 2.07-fold greater when captured at night than during the day. No time of day bias occurred with the Bythotrephes net. Nighttime Bythotrephes densities did not differ between the two net types. Cercopagis densities did not vary with net type or the time of day in this study, but future work should revisit this result given our low sample size and the low occurrence of Cercopagis in Lake Huron. To reduce bias and calculate accurate density estimates, Cercopagidae should be sampled at night if using a standard net or any time of day with the Bythotrephes net. Given the large impact of invasive predatory cladocerans Bythotrephes longimanus and Cercopagis pengoi on food webs since their invasion in the Laurentian Great Lakes in the 1980s, proper estimation of their densities is essential.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2016.12.001","usgsCitation":"Dieter, P.M., Bunnell, D., Adams, J.V., Watson, N.M., and Woelmer, W., 2017, It's like night and day: Diel net-effects on Cercopagidae densities in the Laurentian Great Lakes: Journal of Great Lakes Research, v. 43, no. 2, p. 394-398, https://doi.org/10.1016/j.jglr.2016.12.001.","productDescription":"5 p.","startPage":"394","endPage":"398","ipdsId":"IP-073738","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":470136,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2016.12.001","text":"Publisher Index Page"},{"id":333280,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","issue":"2","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"587f3bd9e4b0d96de256452d","chorus":{"doi":"10.1016/j.jglr.2016.12.001","url":"http://dx.doi.org/10.1016/j.jglr.2016.12.001","publisher":"Elsevier BV","authors":"Armenio Patricia M., Bunnell David B., Adams Jean V., Watson Nicole M., Woelmer Whitney","journalName":"Journal of Great Lakes Research","publicationDate":"4/2017"},"contributors":{"authors":[{"text":"Dieter, Patricia M. 0000-0003-1686-2679 parmenio@usgs.gov","orcid":"https://orcid.org/0000-0003-1686-2679","contributorId":5289,"corporation":false,"usgs":true,"family":"Dieter","given":"Patricia","email":"parmenio@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":658686,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bunnell, David B. 0000-0003-3521-7747 dbunnell@usgs.gov","orcid":"https://orcid.org/0000-0003-3521-7747","contributorId":169859,"corporation":false,"usgs":true,"family":"Bunnell","given":"David B.","email":"dbunnell@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":658687,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Adams, Jean V. 0000-0002-9101-068X jvadams@usgs.gov","orcid":"https://orcid.org/0000-0002-9101-068X","contributorId":3140,"corporation":false,"usgs":true,"family":"Adams","given":"Jean","email":"jvadams@usgs.gov","middleInitial":"V.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":658689,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Watson, Nicole M. 0000-0002-9424-7615 nwatson@usgs.gov","orcid":"https://orcid.org/0000-0002-9424-7615","contributorId":5853,"corporation":false,"usgs":true,"family":"Watson","given":"Nicole","email":"nwatson@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":658688,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Woelmer, Whitney 0000-0001-5147-3877 wwoelmer@usgs.gov","orcid":"https://orcid.org/0000-0001-5147-3877","contributorId":150485,"corporation":false,"usgs":true,"family":"Woelmer","given":"Whitney","email":"wwoelmer@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":658690,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70189342,"text":"70189342 - 2017 - Inferring infection hazard in wildlife populations by linking data across individual and population scales","interactions":[],"lastModifiedDate":"2018-03-26T14:20:04","indexId":"70189342","displayToPublicDate":"2017-01-17T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1466,"text":"Ecology Letters","active":true,"publicationSubtype":{"id":10}},"title":"Inferring infection hazard in wildlife populations by linking data across individual and population scales","docAbstract":"Our ability to infer unobservable disease-dynamic processes such as force of infection (infection hazard for susceptible hosts) has transformed our understanding of disease transmission mechanisms and capacity to predict disease dynamics. Conventional methods for inferring FOI estimate a time-averaged value and are based on population-level processes. Because many pathogens exhibit epidemic cycling and FOI is the result of processes acting across the scales of individuals and populations, a flexible framework that extends to epidemic dynamics and links within-host processes to FOI is needed. Specifically, within-host antibody kinetics in wildlife hosts can be short-lived and produce patterns that are repeatable across individuals, suggesting individual-level antibody concentrations could be used to infer time since infection and hence FOI. Using simulations and case studies (influenza A in lesser snow geese and Yersinia pestis in coyotes), we argue that with careful experimental and surveillance design, the population-level FOI signal can be recovered from individual-level antibody kinetics, despite substantial individual-level variation. In addition to improving inference, the cross-scale quantitative antibody approach we describe can reveal insights into drivers of individual-based variation in disease response, and the role of poorly understood processes such as secondary infections, in population-level dynamics of disease.
","language":"English","publisher":"Wiley","doi":"10.1111/ele.12732","usgsCitation":"Pepin, K., Kay, S.L., Golas, B., Shriner, S.A., Gilbert, A.T., Miller, R.S., Graham, A.L., Riley, S., Cross, P.C., Samuel, M.D., Hooten, M., Hoeting, J.A., Lloyd-Smith, J., Webb, C.T., and Buhnerkempe, M.G., 2017, Inferring infection hazard in wildlife populations by linking data across individual and population scales: Ecology Letters, v. 20, no. 3, p. 275-292, https://doi.org/10.1111/ele.12732.","productDescription":"18 p.","startPage":"275","endPage":"292","ipdsId":"IP-079399","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":470135,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ele.12732","text":"Publisher Index 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A.","contributorId":168403,"corporation":false,"usgs":false,"family":"Hoeting","given":"Jennifer","email":"","middleInitial":"A.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":704291,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Lloyd-Smith, James O.","contributorId":31354,"corporation":false,"usgs":true,"family":"Lloyd-Smith","given":"James O.","affiliations":[],"preferred":false,"id":704292,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Webb, Colleen T.","contributorId":52471,"corporation":false,"usgs":true,"family":"Webb","given":"Colleen","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":704293,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Buhnerkempe, Michael G.","contributorId":194481,"corporation":false,"usgs":false,"family":"Buhnerkempe","given":"Michael","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":704294,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}} ,{"id":70179735,"text":"70179735 - 2017 - The precipitation of indium at elevated pH in a stream influenced by acid mine drainage","interactions":[],"lastModifiedDate":"2018-11-26T09:08:36","indexId":"70179735","displayToPublicDate":"2017-01-17T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"The precipitation of indium at elevated pH in a stream influenced by acid mine drainage","docAbstract":"Indium is an increasingly important metal in semiconductors and electronics and has uses in important energy technologies such as photovoltaic cells and light-emitting diodes (LEDs). One significant flux of indium to the environment is from lead, zinc, copper, and tin mining and smelting, but little is known about its aqueous behavior after it is mobilized. In this study, we use Mineral Creek, a headwater stream in southwestern Colorado severely affected by heavy metal contamination as a result of acid mine drainage, as a natural laboratory to study the aqueous behavior of indium. At the existing pH of ~ 3, indium concentrations are 6–29 μg/L (10,000 × those found in natural rivers), and are completely filterable through a 0.45 μm filter. During a pH modification experiment, the pH of the system was raised to > 8, and > 99% of the indium became associated with the suspended solid phase (i.e. does not pass through a 0.45 μm filter). To determine the mechanism of removal of indium from the filterable and likely primarily dissolved phase, we conducted laboratory experiments to determine an upper bound for a sorption constant to iron oxides, and used this, along with other published thermodynamic constants, to model the partitioning of indium in Mineral Creek. Modeling results suggest that the removal of indium from the filterable phase is consistent with precipitation of indium hydroxide from a dissolved phase. This work demonstrates that nonferrous mining processes can be a significant source of indium to the environment, and provides critical information about the aqueous behavior of indium.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2016.08.136","usgsCitation":"White, S., Hussain, F.A., Hemond, H.F., Sacco, S.A., Shine, J.P., Runkel, R.L., Walton-Day, K., and Kimball, B.A., 2017, The precipitation of indium at elevated pH in a stream influenced by acid mine drainage: Science of the Total Environment, v. 574, p. 1484-1491, https://doi.org/10.1016/j.scitotenv.2016.08.136.","productDescription":"8 p.","startPage":"1484","endPage":"1491","ipdsId":"IP-052032","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":333234,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","volume":"574","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"587f3bdbe4b0d96de2564537","contributors":{"authors":[{"text":"White, Sarah Jane O.","contributorId":178311,"corporation":false,"usgs":false,"family":"White","given":"Sarah Jane O.","affiliations":[],"preferred":false,"id":658466,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hussain, Fatima A.","contributorId":178312,"corporation":false,"usgs":false,"family":"Hussain","given":"Fatima","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":658467,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hemond, Harold F.","contributorId":34673,"corporation":false,"usgs":false,"family":"Hemond","given":"Harold","email":"","middleInitial":"F.","affiliations":[{"id":13299,"text":"Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA","active":true,"usgs":false}],"preferred":false,"id":658468,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sacco, Sarah A.","contributorId":178313,"corporation":false,"usgs":false,"family":"Sacco","given":"Sarah","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":658471,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shine, James P.","contributorId":178314,"corporation":false,"usgs":false,"family":"Shine","given":"James","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":658472,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Runkel, Robert L. 0000-0003-3220-481X runkel@usgs.gov","orcid":"https://orcid.org/0000-0003-3220-481X","contributorId":685,"corporation":false,"usgs":true,"family":"Runkel","given":"Robert","email":"runkel@usgs.gov","middleInitial":"L.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":658465,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Walton-Day, Katherine 0000-0002-9146-6193 kwaltond@usgs.gov","orcid":"https://orcid.org/0000-0002-9146-6193","contributorId":1245,"corporation":false,"usgs":true,"family":"Walton-Day","given":"Katherine","email":"kwaltond@usgs.gov","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":false,"id":658469,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kimball, Briant A. bkimball@usgs.gov","contributorId":533,"corporation":false,"usgs":true,"family":"Kimball","given":"Briant","email":"bkimball@usgs.gov","middleInitial":"A.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":658470,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70179745,"text":"70179745 - 2017 - Signals of impending change","interactions":[],"lastModifiedDate":"2017-01-17T10:20:53","indexId":"70179745","displayToPublicDate":"2017-01-17T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5263,"text":"Nature Ecology & Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Signals of impending change","docAbstract":"Society has an increasing awareness that there are finite limits to what we can expect the planet to absorb and still provide goods and services at current rates1. Both historical reconstructions and contemporary events continue to remind us that ecological regime changes are often abrupt rather than gradual. This reality motivates researchers who seek to discover leading indicators for impending ecosystem change. Berdugo et al.2 report an important advance in our ability to anticipate the conversion of arid lands from self-organized, self-maintaining and productive ecosystems, to a state characterized by disorganization and low functionality. Such conversions have important implications for our understanding of ‘desertification’ — which is a shift from arid to desert-like conditions.
Theoretical studies have suggested that patterns in the patchiness of vegetation might indicate how close a system is to making an abrupt change to desert-like conditions3,4,5. Empirical studies, however, have tended to show instead that simply the total cover of vegetation, rather than its arrangement, often foretells the state of the system4,5,6,7,8,9. Berdugo et al.2 combine these competing ideas into one integrated perspective. They show how major environmental drivers, such as aridity, influence both vegetation cover and patchiness, as well as where self-organizing, stabilizing forces in the vegetation are likely to be found.
The study of animal movement has always been a key element in ecological science, because it is inherently linked to critical processes that scale from individuals to populations and communities to ecosystems. Rapid improvements in biotelemetry data collection and processing technology have given rise to a variety of statistical methods for characterizing animal movement. The book serves as a comprehensive reference for the types of statistical models used to study individual-based animal movement.
","language":"English","publisher":"CRC Press","isbn":"9781466582149","usgsCitation":"Hooten, M., Johnson, D., McClintock, B.T., and Morales, J.M., 2017, Animal movement: Statistical models for telemetry data, 306 p.","productDescription":"306 p.","ipdsId":"IP-075857","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":350690,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":350689,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.crcpress.com/Animal-Movement-Statistical-Models-for-Telemetry-Data/Hooten-Johnson-McClintock-Morales/p/book/9781466582149"}],"publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a6c4c94e4b06e28e9cabafa","contributors":{"authors":[{"text":"Hooten, Mevin 0000-0002-1614-723X mhooten@usgs.gov","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":2958,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin","email":"mhooten@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":12963,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO","active":true,"usgs":false}],"preferred":true,"id":716564,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Devin S.","contributorId":47524,"corporation":false,"usgs":true,"family":"Johnson","given":"Devin S.","affiliations":[],"preferred":false,"id":725947,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McClintock, Brett T. 0000-0001-6154-4376","orcid":"https://orcid.org/0000-0001-6154-4376","contributorId":83785,"corporation":false,"usgs":true,"family":"McClintock","given":"Brett","email":"","middleInitial":"T.","affiliations":[{"id":12448,"text":"U.S. National Oceanic and Atmospheric Administration","active":true,"usgs":false},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":725948,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Morales, Juan M.","contributorId":171521,"corporation":false,"usgs":false,"family":"Morales","given":"Juan","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":725949,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70179743,"text":"70179743 - 2017 - Associations among habitat characteristics and meningeal worm prevalence in eastern South Dakota, USA","interactions":[],"lastModifiedDate":"2017-01-17T09:51:55","indexId":"70179743","displayToPublicDate":"2017-01-17T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Associations among habitat characteristics and meningeal worm prevalence in eastern South Dakota, USA","docAbstract":"Few studies have evaluated how wetland and forest characteristics influence the prevalence of meningeal worm (Parelaphostrongylus tenuis) infection of deer throughout the grassland biome of central North America. We used previously collected, county-level prevalence data to evaluate associations between habitat characteristics and probability of meningeal worm infection in white-tailed deer (Odocoileus virginianus) across eastern South Dakota, US. The highest-ranked binomial regression model for detecting probability of meningeal worm infection was spring temperature + summer precipitation + percent wetland; weight of evidence (wi=0.71) favored this model over alternative models, though predictive capability was low (Receiver operating characteristic=0.62). Probability of meningeal worm infection increased by 1.3- and 1.6-fold for each 1-cm and 1-C increase in summer precipitation and spring temperature, respectively. Similarly, probability of infection increased 1.2-fold for each 1% increase in wetland habitat. Our findings highlight the importance of wetland habitat in predicting meningeal worm infection across eastern South Dakota. Future research is warranted to evaluate the relationships between climatic conditions (e.g., drought, wet cycles) and deer habitat selection in maintaining P. tenuis along the western boundary of the parasite.
","language":"English","publisher":"Wildlife Disease Association","doi":"10.7589/2016-02-028","usgsCitation":"Jacques, C.N., Jenks, J., Klaver, R.W., and Dubay, S.A., 2017, Associations among habitat characteristics and meningeal worm prevalence in eastern South Dakota, USA: Journal of Wildlife Diseases, v. 53, no. 1, p. 131-135, https://doi.org/10.7589/2016-02-028.","productDescription":"5 p.","startPage":"131","endPage":"135","ipdsId":"IP-069157","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":488544,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://lib.dr.iastate.edu/nrem_pubs/219","text":"External Repository"},{"id":333229,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"53","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"587f3bdbe4b0d96de2564533","contributors":{"authors":[{"text":"Jacques, Christopher N.","contributorId":15521,"corporation":false,"usgs":true,"family":"Jacques","given":"Christopher","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":658503,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jenks, Jonathan A.","contributorId":51591,"corporation":false,"usgs":true,"family":"Jenks","given":"Jonathan A.","affiliations":[],"preferred":false,"id":658504,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Klaver, Robert W. 0000-0002-3263-9701 bklaver@usgs.gov","orcid":"https://orcid.org/0000-0002-3263-9701","contributorId":3285,"corporation":false,"usgs":true,"family":"Klaver","given":"Robert","email":"bklaver@usgs.gov","middleInitial":"W.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":658496,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dubay, Shelli A.","contributorId":171437,"corporation":false,"usgs":false,"family":"Dubay","given":"Shelli","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":658505,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ]}