A common statistical procedure for estimating streamflow statistics at ungaged locations is to develop a relational model between streamflow and drainage basin characteristics at gaged locations using least squares regression analysis; however, least squares regression methods are parametric and make constraining assumptions about the data distribution. The random forest regression method provides an alternative nonparametric method for estimating streamflow characteristics at ungaged sites and requires that the data meet fewer statistical conditions than least squares regression methods.
Random forest regression analysis was used to develop predictive models for 89 streamflow characteristics using Precipitation-Runoff Modeling System simulated streamflow data and drainage basin characteristics at 179 sites in central and eastern Montana. The predictive models were developed from streamflow data simulated for current (baseline, water years 1982–99) conditions and three future periods (water years 2021–38, 2046–63, and 2071–88) under three different climate-change scenarios. These predictive models were then used to predict streamflow characteristics for baseline conditions and three future periods at 1,707 fish sampling sites in central and eastern Montana. The average root mean square error for all predictive models was about 50 percent. When streamflow predictions at 23 fish sampling sites were compared to nearby locations with simulated data, the mean relative percent difference was about 43 percent. When predictions were compared to streamflow data recorded at 21 U.S. Geological Survey streamflow-gaging stations outside of the calibration basins, the average mean absolute percent error was about 73 percent.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175002","collaboration":"Prepared in cooperation with the Plains and Prairie Potholes Landscape Conservation Cooperative and the Bureau of Land Management","usgsCitation":"Sando, Roy, and Chase, K.J., 2017, Estimating current and future streamflow characteristics at ungaged sites, central and eastern Montana, with application to evaluating effects of climate change on fish populations: U.S. Geological Survey Scientific Investigations Report 2017–5002, 23 p., https://doi.org/10.3133/sir20175002.","productDescription":"Report: vi, 26 p.; Appendixes 1-1 to 1-18","numberOfPages":"36","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-069581","costCenters":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"links":[{"id":338115,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5002/sir20175002.pdf","text":"Report","size":"14.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5002"},{"id":338114,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5002/coverthb.jpg"},{"id":338116,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2017/5002/sir20175002_appendixtables.xlsx","text":"Appendix Tables 1–1 to 1–18","size":"11.9 MB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2017–5002 Appendix Tables 1–1 to 1–18"}],"country":"United States","state":"Montana","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -113.291015625,\n 43.99281450048989\n ],\n [\n -102.23876953125,\n 43.99281450048989\n ],\n [\n -102.23876953125,\n 49.59647007089266\n ],\n [\n -113.291015625,\n 49.59647007089266\n ],\n [\n -113.291015625,\n 43.99281450048989\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Wyoming-Montana Water Science Center
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The Upper Mississippi River System (UMRS), the navigable part of the Upper Mississippi and Illinois Rivers, is a diverse ecosystem that contains river channels, tributaries, shallow-water wetlands, backwater lakes, and flood-plain forests. Approximately 10,000 years of geologic and hydrographic history exist within the UMRS. Because it maintains crucial wildlife and fish habitats, the dynamic ecosystems of the Upper Mississippi River Basin and its tributaries are contingent on the adjacent flood plains and water-level fluctuations of the Mississippi River. Separate data for flood-plain elevation (lidar) and riverbed elevation (bathymetry) were collected on the UMRS by the U.S. Army Corps of Engineers’ (USACE) Upper Mississippi River Restoration (UMRR) Program. Using the two elevation datasets, the U.S. Geological Survey (USGS) Upper Midwest Environmental Sciences Center (UMESC) developed a systemic topobathy dataset.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20163097","collaboration":"Prepared in cooperation with Upper Mississippi River Restoration","usgsCitation":"Stone, J.M., Hanson, J.L., and Sattler, S.R., 2017, The Upper Mississippi River System—Topobathy: U.S. Geological Survey Fact Sheet 2016–3097, 4 p., https://doi.org/10.3133/fs20163097.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"N","ipdsId":"IP-077869","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":338162,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2016/3097/coverthb.jpg"},{"id":338163,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2016/3097/fs20163097.pdf","text":"Fact Sheet","size":"3.66 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2016–3097"}],"country":"United States","state":"Illinois, Iowa, 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U.S. Geological Survey
2630 Fanta Reed Road
La Crosse, Wisconsin 54603
Bull trout (Salvelinus confluentus), listed as threatened under the Endangered Species Act, are among the more thermally sensitive of coldwater species in North America. The Boise River upstream of Arrowrock Dam in southwestern Idaho (including Arrowrock Reservoir) provides habitat for one of the southernmost populations of bull trout. The presence of the species in Arrowrock Reservoir poses implications for dam and reservoir operations. From 2011 to 2014, the Bureau of Reclamation and the U.S. Geological Survey collected fish telemetry data to improve understanding of bull trout distribution and movement in Arrowrock Reservoir and in the upper Boise River tributaries. The U.S. Geological Survey compiled the telemetry (fish location) data, along with reservoir elevation, river discharge, precipitation, and water-quality data in a geodatabase. The geodatabase includes metadata compliant with Federal Geographic Data Committee content standards. The Bureau of Reclamation plans to incorporate the data in a decision‑support tool for reservoir management.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds1042","collaboration":"Prepared in cooperation with Bureau of Reclamation","usgsCitation":"MacCoy, D.E., Shephard, Z.M., Benjamin, J.R., Vidergar, D.T., and Prisciandaro, A.F., 2017, Bull trout (Salvelinus confluentus) telemetry and associated habitat data collected in a geodatabase from the upper Boise River, southwestern Idaho: U.S. Geological Survey Data Series 1042, 14 p., https://doi.org/10.3133/ds1042.","productDescription":"Report: v, 14 p.; Data release","onlineOnly":"Y","ipdsId":"IP-074981","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":338145,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/1042/ds1042.pdf","text":"Report","size":"1.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DS 1042"},{"id":338143,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7MG7MQJ","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Geodatabase Containing Bull Trout (Salvelinus confluentus) Information from the Upper Boise River, Southwestern Idaho"},{"id":338144,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/1042/coverthb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Upper Boise River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.133333,\n 43.222222\n ],\n [\n -114.7,\n 43.222222\n ],\n [\n -114.7,\n 44.083333\n ],\n [\n -116.133333,\n 44.083333\n ],\n [\n -116.133333,\n 43.222222\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Idaho Water Science Center
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http://id.water.usgs.gov
High variability in precipitation and streamflow in the semiarid northern Great Plains causes large uncertainty in water availability. This uncertainty is compounded by potential effects of future climate change. We examined historical variability in annual and growing season precipitation, temperature, and streamflow within the Little Missouri River Basin and identified differences in the runoff response to precipitation for the period 1976-2012 compared to 1939-1975 (n = 37 years in both cases). Computed mean values for the second half of the record showed little change (<5%) in annual or growing season precipitation, but average annual runoff at the basin outlet decreased by 22%, with 66% of the reduction in flow occurring during the growing season. Our results show a statistically significant (p < 0.10) 27% decrease in the annual runoff response to precipitation (runoff ratio). Surface-water withdrawals for various uses appear to account for <12% of the reduction in average annual flow volume, and we found no published or reported evidence of substantial flow reduction caused by groundwater pumping in this basin. Results of our analysis suggest that increases in monthly average maximum and minimum temperatures, including >1°C increases in January through March, are the dominant driver of the observed decrease in runoff response to precipitation in the Little Missouri River Basin.
","language":"English","publisher":"American Water Resources Association","publisherLocation":"Herndon, VA","doi":"10.1111/1752-1688.12517","usgsCitation":"Griffin, E.R., and Friedman, J.M., 2017, Decreased runoff response to precipitation, Little Missouri River Basin, northern Great Plains, USA: Journal of the American Water Resources Association, v. 53, no. 3, p. 576-592, https://doi.org/10.1111/1752-1688.12517.","productDescription":"17 p.","startPage":"576","endPage":"592","ipdsId":"IP-073357","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":338166,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana, North Dakota, South Dakota, Wyoming","otherGeospatial":"Little Missouri River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -105.435791015625,\n 44.449467536006935\n ],\n [\n -102.095947265625,\n 44.449467536006935\n ],\n [\n -102.095947265625,\n 47.88688085106901\n ],\n [\n -105.435791015625,\n 47.88688085106901\n ],\n [\n -105.435791015625,\n 44.449467536006935\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"53","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-17","publicationStatus":"PW","scienceBaseUri":"58d4deffe4b05ec79911d19a","contributors":{"authors":[{"text":"Griffin, Eleanor R. 0000-0001-6724-9853 egriffin@usgs.gov","orcid":"https://orcid.org/0000-0001-6724-9853","contributorId":1775,"corporation":false,"usgs":true,"family":"Griffin","given":"Eleanor","email":"egriffin@usgs.gov","middleInitial":"R.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":685812,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Friedman, Jonathan M. 0000-0002-1329-0663 friedmanj@usgs.gov","orcid":"https://orcid.org/0000-0002-1329-0663","contributorId":2473,"corporation":false,"usgs":true,"family":"Friedman","given":"Jonathan","email":"friedmanj@usgs.gov","middleInitial":"M.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":685813,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70179906,"text":"sir20175004 - 2017 - Estimated dissolved-solids loads and trends at selected streams in and near the Uinta Basin, Utah, Water Years 1989–2013","interactions":[],"lastModifiedDate":"2017-03-24T08:31:22","indexId":"sir20175004","displayToPublicDate":"2017-03-23T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-5004","title":"Estimated dissolved-solids loads and trends at selected streams in and near the Uinta Basin, Utah, Water Years 1989–2013","docAbstract":"The U.S. Geological Survey (USGS), in cooperation with the Colorado River Basin Salinity Control Forum, studied trends in dissolved-solids loads at selected sites in and near the Uinta Basin, Utah. The Uinta Basin study area includes the Duchesne River Basin and the Middle Green River Basin in Utah from below Flaming Gorge Reservoir to the town of Green River.
Annual dissolved-solids loads for water years (WY) 1989 through 2013 were estimated for 16 gaging stations in the study area using streamflow and water-quality data from the USGS National Water Information System database. Eight gaging stations that monitored catchments with limited or no agricultural land use (natural subbasins) were used to assess loads from natural sources. Four gaging stations that monitored catchments with agricultural land in the Duchesne River Basin were used to assess loads from agricultural sources. Four other gaging stations were included in the dissolved-solids load and trend analysis to help assess the effects of agricultural areas that drain to the Green River in the Uinta Basin, but outside of the Duchesne River Basin.
Estimated mean annual dissolved-solids loads for WY 1989–2013 ranged from 1,520 tons at Lake Fork River above Moon Lake, near Mountain Home, Utah (UT), to 1,760,000 tons at Green River near Green River, UT. The flow-normalized loads at gaging stations upstream of agricultural activities showed no trend or a relatively small change. The largest net change in modeled flow-normalized load was -352,000 tons (a 17.8-percent decrease) at Green River near Green River, UT.
Annual streamflow and modeled dissolved-solids loads at the gaging stations were balanced between upstream and downstream sites to determine how much water and dissolved solids were transported to the Duchesne River and a section of the Green River, and how much was picked up in each drainage area. Mass-balance calculations of WY 1989–2013 mean annual dissolved-solids loads at the studied sites show that Green River near Jensen, UT, accounts for 64 percent of the load in the river at Green River, UT, while the Duchesne River and White River contribute 10 and 13 percent, respectively.
Annual streamflow and modeled dissolved-solids loads at the gaging stations were balanced between upstream and downstream sites to determine how much water and dissolved solids were transported to the Duchesne River and a section of the Green River, and how much was picked up in each drainage area. Mass-balance calculations of WY 1989–2013 mean annual dissolved-solids loads at the studied sites show that Green River near Jensen, UT, accounts for 64 percent of the load in the river at Green River, UT, while the Duchesne River and White River contribute 10 and 13 percent, respectively.
The flow-normalized dissolved-solids loads estimated at Duchesne River near Randlett, UT, and White River near Watson, UT, decreased by 68,000 and 55,300 tons, or 27.8 and 20.8 percent respectively, when comparing 1989 to 2013. The drainage basins for both rivers have undergone salinity-control projects since the early 1980s to reduce the dissolved-solids load entering the Colorado River. Approximately 19 percent of the net change in flow-normalized load at Green River at Green River, UT, is from changes in load modeled at Duchesne River near Randlett, UT, and 16 percent from changes in load modeled at White River near Watson, UT. The net change in flow-normalized load estimated at Green River near Greendale, UT, for WY 1989–2013 accounts for about 45 percent of the net change estimated at Green River at Green River, UT.
Mass-balance calculations of WY 1989–2013 mean annual dissolved-solids loads at the studied sites in the Duchesne River Basin show that 75,400 tons or 44 percent of the load at the Duchesne River near Randlett, UT, gaging station was not accounted for at any of the upstream gages. Most of this unmonitored load is derived from tributary inflow, groundwater discharge, unconsumed irrigation water, and irrigation tail water.
A mass balance of WY 1989–2013 flow-normalized loads estimated at sites in the Duchesne River Basin indicates that the flow-normalized load of unmonitored inflow to the Duchesne River between the Myton and Randlett gaging stations decreased by 38 percent. The total net decrease in flow-normalized load calculated for unmonitored inflow in the drainage basin accounts for 94 percent of the decrease in WY 1989–2013 flow-normalized load modeled at the Duchesne River near Randlett, UT, gaging station. Irrigation improvements in the drainage basin have likely contributed to the decrease in flow-normalized load.
Reductions in dissolved-solids load estimated by the Natural Resources Conservation Service (NRCS) and the Bureau of Reclamation (Reclamation) from on- and off-farm improvements in the Uinta Basin totaled about 135,000 tons in 2013 (81,900 tons from on-farm improvements and 53,300 tons from off-farm improvements). The reduction in dissolved-solids load resulting from on- and off-farm improvements facilitated by the NRCS and Reclamation in the Price River Basin from 1989 to 2013 was estimated to be 64,800 tons.
The amount of sprinkler-irrigated land mapped in the drainage area or subbasin area for a gaging station was used to estimate the reduction in load resulting from the conversion from flood to sprinkler irrigation. Sprinkler-irrigated land mapped in the Uinta Basin totaled 109,630 acres in 2012. Assuming conversion to wheel-line sprinklers, a reduction in dissolved-solids load in the Uinta Basin of 95,800 tons in 2012 was calculated using the sprinkler-irrigation acreage and a pre-salinity-control project dissolved-solids yield of 1.04 tons per acre.
A reduction of 72,800 tons in dissolved-solids load from irrigation improvements was determined from sprinkler-irrigated lands in the Ashley Valley and Jensen, Pelican Lake, and Pleasant Valley areas (mapped in 2012); and in the Price River Basin (mapped in 2011). This decrease in dissolved-solids load is 8,800 tons more than the decrease in unmonitored flow-normalized dissolved-solids load (-64,000 tons) determined for the Green River between the Jensen and Green River gaging stations.
The net WY 1989–2013 change in flow-normalized dissolved-solids load at the Duchesne River near Randlett, UT, and the Green River between the Jensen and Green River, UT, gaging stations determined from mass-balance calculations was compared to reported reductions in dissolved-solids load from on- and off-farm improvements and estimated reductions in load determined from mapped sprinkler-irrigated areas in the Duchesne River Basin and the area draining to the Green River between the Jensen and Green River gaging stations. The combined NRCS and Reclamation estimates of reduction in dissolved-solids load from on- and off-farm improvements in the study area (200,000 tons) is more than the reduction in load estimated using the acreage with sprinkler improvements (136,000 tons) or the mass-balance of flow-normalized load (132,000 tons).
Director, Utah Water Science Center
U.S. Geological Survey
2329 West Orton Circle
Salt Lake City, UT 84119-2047
(801) 908-5000
http://ut.water.usgs.gov/
Bathymetric, topographic, and grain-size data were collected in May 2009 along a 33-mi reach of the Colorado River in Grand Canyon National Park, Arizona. The study reach is located from river miles 29 to 62 at the confluence of the Colorado and Little Colorado Rivers. Channel bathymetry was mapped using multibeam and singlebeam echosounders, subaerial topography was mapped using ground-based total-stations, and bed-sediment grain-size data were collected using an underwater digital microscope system. These data were combined to produce digital elevation models, spatially variable estimates of digital elevation model uncertainty, georeferenced grain-size data, and bed-sediment distribution maps. This project is a component of a larger effort to monitor the status and trends of sand storage along the Colorado River in Grand Canyon National Park. This report documents the survey methods and post-processing procedures, digital elevation model production and uncertainty assessment, and procedures for bed-sediment classification, and presents the datasets resulting from this study.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171030","collaboration":"Prepared in cooperation with Northern Arizona University","usgsCitation":"Kaplinski, M., Hazel, J.E., Jr., Grams, P.E., Kohl, Keith, Buscombe, D.D., and Tusso, R.B., 2017, Channel mapping river miles 29–62 of the Colorado River in Grand Canyon National Park, Arizona, May 2009: U.S. Geological Survey Open-File Report 2017–1030, 35 p., https://doi.org/10.3133/ofr20171030.","productDescription":"vi, 35 p.","onlineOnly":"Y","ipdsId":"IP-079813","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":438410,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7930RCG","text":"USGS data release","linkHelpText":"Channel Mapping of the Colorado River in Grand Canyon National Park, Arizona - May 2009, river miles 29 to 62Data"},{"id":338081,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1030/coverthb.jpg"},{"id":338082,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1030/ofr20171030.pdf","text":"Report","size":"2.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1030"},{"id":350633,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F7930RCG","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Channel Mapping of the Colorado River in Grand Canyon National Park, Arizona, May 2009, river miles 29 to 62—Data"}],"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 -111.7,\n 36.541667\n ],\n [\n -112,\n 36.541667\n ],\n [\n -112,\n 36.125\n ],\n [\n -111.7,\n 36.125\n ],\n [\n -111.7,\n 36.541667\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"GCMRC Staff, Southwest Biological Science Center
U.S. Geological Survey
Grand Canyon Monitoring and Research Center
2255 N. Gemini Drive
Flagstaff, Arizona 86001
https://www.gcmrc.gov/
Climate change can have a broad range of effects on ecosystems and organisms, and early responses may include shifts in vegetation phenology and productivity that may not coincide with the energetics and forage timing of higher trophic levels. We evaluated phenology, annual height growth, and foliar frost responses of forbs to a factorial experiment of snow removal (SR) and warming in a high-elevation meadow over two years in the Rocky Mountains, United States. Species included arrowleaf balsamroot (Balsamorhiza sagittata, early-season emergence and flowering) and buckwheat (Eriogonum umbellatum, semi-woody and late-season flowering), key forbs for pollinator and nectar-using animal communities that are widely distributed and locally abundant in western North America. Snow removal exerted stronger effects than did warming, and advanced phenology differently for each species. Specifically, SR advanced green-up by a few days for B. sagittata to >2 wk in E. umbellatum, and led to 5- to 11-d advances in flowering of B. sagittata in one year and advances in bud break in 3 of 4 species/yr combinations. Snow removal increased height of E. umbellatum appreciably (~5 cm added to ~22.8 cm in control), but led to substantial increases in frost damage to flowers of B. sagittata. Whereas warming had no effects on E. umbellatum, it increased heights of B. sagittata by >6 cm (compared to 30.7 cm in control plots) and moreover led to appreciable reductions in frost damage to flowers. These data suggest that timing of snowmelt, which is highly variable from year to year but is advancing in recent decades, has a greater impact on these critical phenological, growth, and floral survival traits and floral/nectar resources than warming per se, although warming mitigated early effects of SR on frost kill of flowers. Given the short growing season of these species, the shifts could cause uncoupling in nectar availability and timing of foraging.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.1745","usgsCitation":"Sherwood, J., Debinski, D., Caragea, P., and Germino, M., 2017, Effects of experimentally reduced snowpack and passive warming on montane meadow plant phenology and floral resources: Ecosphere, v. 8, no. 3, Article e01745: 13 p., https://doi.org/10.1002/ecs2.1745.","productDescription":"Article e01745: 13 p.","ipdsId":"IP-086158","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":469994,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1745","text":"Publisher Index Page"},{"id":344848,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-17","publicationStatus":"PW","scienceBaseUri":"59b76f2ae4b08b1644ddfaee","contributors":{"authors":[{"text":"Sherwood, J.A.","contributorId":195639,"corporation":false,"usgs":false,"family":"Sherwood","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":707751,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Debinski, D.M.","contributorId":195640,"corporation":false,"usgs":false,"family":"Debinski","given":"D.M.","email":"","affiliations":[],"preferred":false,"id":707752,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Caragea, P.C.","contributorId":195641,"corporation":false,"usgs":false,"family":"Caragea","given":"P.C.","affiliations":[],"preferred":false,"id":707753,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Germino, Matthew J. 0000-0001-6326-7579 mgermino@usgs.gov","orcid":"https://orcid.org/0000-0001-6326-7579","contributorId":152582,"corporation":false,"usgs":true,"family":"Germino","given":"Matthew J.","email":"mgermino@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":707750,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70180160,"text":"ofr20171011 - 2017 - Methods used to characterize the chemical composition and biological activity of environmental waters throughout the United States, 2012-14","interactions":[],"lastModifiedDate":"2017-03-22T14:39:41","indexId":"ofr20171011","displayToPublicDate":"2017-03-22T14:45:00","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":"2017-1011","title":"Methods used to characterize the chemical composition and biological activity of environmental waters throughout the United States, 2012-14","docAbstract":"A vast array of chemical compounds are in wide commercial use in the United States, and the potential ecological and human-health effect of exposure to chemical mixtures has been identified as a high priority in environment health science. Awareness of the potential effects of low-level chemical exposures is rising. The U.S. Geological Survey, in cooperation with the U.S. Environmental Protection Agency, conducted a study in which samples were collected from 38 streams in 25 States to provide an overview of contaminants found in stream water across the Nation. Additionally, biological screening assays were used to help determine any potential ecological and human-health effects of these chemical mixtures and to prioritize target chemicals for future toxicological studies. This report describes the site locations and the sampling and analytical methods and quality-assurance procedures used in the study.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171011","issn":"2331-1258","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency","usgsCitation":"Romanok, K.M., Reilly, T.J., Barber, Larry, Boone, Scott, Buxton, H.T., Foreman, W.T., Furlong, E.T., Hladik, Michelle, Iwanowicz, L.R., Journey, Celeste, Kolpin, D.W., Kuivila, Kathryn, Loftin, K.A., Mills, M.A., Meyer, M.T., Orlando, J.L., Smalling, K.L., Villeneuve, D.L., and Bradley, P.M., 2017, Methods used to characterize the chemical composition and biological activity of environmental waters throughout the United States, 2012–14: U.S. Geological Survey Open-File Report 2017–1011, 105 p., https://doi.org/10.3133/ofr20171011.","productDescription":"Report: x, 105 p.; 1 Table; Data release","numberOfPages":"120","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-080395","costCenters":[{"id":13634,"text":"South Atlantic Water Science 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\"}}]}","contact":"Director, South Atlantic Water Science Center
U.S. Geological Survey
720 Gracern Road
Stephenson Center, Suite 129
Columbia, SC 29210
https:www.usgs.gov/water/southatlantic/
The age of the youngest volcanism at Eagle Lake, California, was investigated using stratigraphic, paleomagnetic, and 40Ar/39Ar techniques. The three youngest volcanic lava flows at Eagle Lake yielded ages of 130.0±5.1, 127.5±3.2 and 123.6±18.7 ka, and are statistically indistinguishable. Paleomagnetic results demonstrate that two of the lava flows are very closely spaced in time, whereas the third is different by centuries to at most a few millennia. These results indicate that the basalt lava flows at Eagle Lake are not Holocene in age, and were erupted during an episode of volcanism at about 130–125 ka that is unlikely to have spanned more than a few thousand years. Thus, the short-term potential for subsequent volcanism at Eagle Lake is considered low.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171027","usgsCitation":"Clynne, M.A., Calvert, A.T., Champion, D.E., Muffler, L.J.P., Sawlan, M.G., and Downs, D.T., 2017, Age of the youngest volcanism at Eagle Lake, northeastern California—40Ar/39Ar and paleomagnetic results: U.S. Geological Survey Open-File Report 2017–1027, 24 p., https://doi.org/10.3133/ofr20171027.","productDescription":"iii, 24 p.","onlineOnly":"Y","ipdsId":"IP-081567","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":338131,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1027/ofr20171027.pdf","text":"Report","size":"1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1027"},{"id":338130,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1027/coverthb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Eagle Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.95,\n 40.75\n ],\n [\n -120.625,\n 40.75\n ],\n [\n -120.625,\n 40.525\n ],\n [\n -120.95,\n 40.525\n ],\n [\n -120.95,\n 40.75\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Volcano Science Center—Menlo Park
U.S. Geological Survey
345 Middlefield Road, MS 910
Menlo Park, CA 94025
https://volcanoes.usgs.gov/
Abstract
Introduction
General Geology of the Eagle Lake Area
Previous Map Depiction of the Young Basalts at Eagle Lake
Unit Descriptions
Paleomagnetic Secular Variation
40Ar/39Ar Results
Discussion
Conclusions
Acknowledgments
References
Appendix 1. 40Ar/39Ar Analytical Techniques
Appendix 2. Tabulated 40Ar/39Ar data for basaltic flows of Eagle Lake
The Providence Mountains are in the eastern Mojave Desert about 60 km southeast of Baker, San Bernardino County, California. This range, which is noted for its prominent cliffs of Paleozoic limestone, is part of a northeast-trending belt of mountainous terrain more than 100 km long that also includes the Granite Mountains, Mid Hills, and New York Mountains. Providence Mountains State Recreation Area encompasses part of the range, the remainder of which is within Mojave National Preserve, a large parcel of land administered by the National Park Service. Access to the Providence Mountains is by secondary roads leading south and north from Interstate Highways 15 and 40, respectively, which bound the main part of Mojave National Preserve.
The geologic map presented here includes most of Providence Mountains State Recreation Area and land that surrounds it on the north, west, and south. This area covers most of the Fountain Peak 7.5′ quadrangle and small adjacent parts of the Hayden quadrangle to the north, the Columbia Mountain quadrangle to the northeast, and the Colton Well quadrangle to the east. The map area includes representative outcrops of most of the major geologic elements of the Providence Mountains, including gneissic Paleoproterozoic basement rocks, a thick overlying sequence of Neoproterozoic to Triassic sedimentary rocks, Jurassic rhyolite that intrudes and overlies the sedimentary rocks, Jurassic plutons and associated dikes, Miocene volcanic rocks, and a variety of Quaternary surficial deposits derived from local bedrock units. The purpose of the project was to map the area in detail, with primary emphasis on the pre-Quaternary units, to provide an improved stratigraphic, structural, and geochronologic framework for use in land management applications and scientific research.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3376","usgsCitation":"Stone, Paul, Miller, D.M., Stevens, C.H., Rosario, Jose, Vazquez, J.A., Wan, Elmira, Priest, S.S., and Valin, Z.C., 2017, Geologic map of the Providence Mountains in parts of the Fountain Peak and adjacent 7.5' quadrangles, San Bernardino County, California: U.S. Geological Survey Scientific Investigations Map 3376, pamphlet 52 p., scale 1:24,000, https://doi.org/10.3133/sim3376.","productDescription":"Pamphlet: v, 52 p.; 1 Sheet: 40 x 36 inches; 5 Tables; Dataset; Metadata; Read Me","onlineOnly":"Y","ipdsId":"IP-072132","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":399113,"rank":12,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_105551.htm"},{"id":338111,"rank":11,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sim/3376/sim3376_table08.xlsx","text":"Table 8","linkFileType":{"id":3,"text":"xlsx"},"description":"SIM 3376 Table 8"},{"id":338110,"rank":10,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sim/3376/sim3376_table06.xlsx","text":"Table 6","linkFileType":{"id":3,"text":"xlsx"},"description":"SIM 3376 Table 6"},{"id":338109,"rank":9,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sim/3376/sim3376_table05.xlsx","text":"Table 5","linkFileType":{"id":3,"text":"xlsx"},"description":"SIM 3376 Table 5"},{"id":338108,"rank":8,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sim/3376/sim3376_table04.xlsx","text":"Table 4","linkFileType":{"id":3,"text":"xlsx"},"description":"SIM 3376 Table 4"},{"id":338105,"rank":5,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/sim/3376/sim3376_readme.txt","linkFileType":{"id":2,"text":"txt"},"description":"SIM 3376 Read Me"},{"id":338104,"rank":4,"type":{"id":28,"text":"Dataset"},"url":"https://pubs.usgs.gov/sim/3376/sim3376_database.zip","text":"Database","linkFileType":{"id":6,"text":"zip"},"description":"SIM 3376 Database"},{"id":338103,"rank":3,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3376/sim3376.pdf","text":"Map","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3376"},{"id":338102,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3376/sim3376_pamphlet.pdf","text":"Pamphlet","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3376 Pamphlet"},{"id":338101,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3376/coverthb.jpg"},{"id":338107,"rank":7,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sim/3376/sim3376_table02.xlsx","text":"Table 2","linkFileType":{"id":3,"text":"xlsx"},"description":"SIM 3376 Table 2"},{"id":338106,"rank":6,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sim/3376/sim3376_metadata.txt","linkFileType":{"id":2,"text":"txt"},"description":"SIM 3376 Metadata"}],"scale":"24000","country":"United States","state":"California","county":"San Bernardino County","otherGeospatial":"Providence Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -115.625,\n 35.008333\n ],\n [\n -115.483333,\n 35.008333\n ],\n [\n -115.483333,\n 34.9\n ],\n [\n -115.625,\n 34.9\n ],\n [\n -115.625,\n 35.008333\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Contact Information, Geology, Minerals, Energy, & Geophysics Science Center
U.S. Geological Survey
345 Middlefield Road
Menlo Park, CA 94025-3591
FAX 650/329-4936
https://geomaps.wr.usgs.gov/
Weaning represents a major ontogenetic dietary shift in southern sea otters (Enhydra lutris nereis), as juveniles must transition from depending on mother’s milk to independently processing hard-shelled invertebrates. When the skulls of juveniles have reached sufficient maturity to transition to a durophagous diet remains to be investigated. Here, we conducted a comprehensive analysis of skull development and growth and sexual dimorphism using geometric morphometric approaches in 204 southern sea otter skulls. We found that southern sea otters of both sexes exhibit dramatic changes in cranial and mandibular shape and size over ontogeny. Although the majority of these changes occur in the pup stage, full development and growth of the skull does not occur until well after weaning. We hypothesize that the slower maturation of the crania of newly weaned juveniles serves as a handicap by constraining jaw adductor muscle size, biting ability and feeding on hard-shelled prey. In our analysis of sexual dimorphism, we found significant sexual shape and size dimorphism in adult craniomandibular morphology that arose through differences in developmental and growth rates and duration. We postulate that males are selected to attain mature crania faster to presumably reach adult biting ability sooner, gaining a competitive advantage in obtaining food and in male–male agonistic interactions.
","language":"English","publisher":"The Linnean Society of London","doi":"10.1093/biolinnean/blw050","usgsCitation":"Law, C., Baliga, V.B., Tinker, M.T., and Mehta, R.S., 2017, Asynchrony in craniomandibular development and growth in Enhydra lutris nereis (Carnivora: Mustelidae): Are southern sea otters born to bite?: Biological Journal of the Linnean Society, v. 121, no. 2, p. 420-438, https://doi.org/10.1093/biolinnean/blw050.","productDescription":"19 p.","startPage":"420","endPage":"438","ipdsId":"IP-080748","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":461691,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/biolinnean/blw050","text":"Publisher Index Page"},{"id":338068,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"121","issue":"2","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2017-02-22","publicationStatus":"PW","scienceBaseUri":"58d38d38e4b0236b68f98eda","contributors":{"authors":[{"text":"Law, Chris J","contributorId":189575,"corporation":false,"usgs":false,"family":"Law","given":"Chris J","affiliations":[],"preferred":false,"id":685235,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baliga, Vikram B.","contributorId":189576,"corporation":false,"usgs":false,"family":"Baliga","given":"Vikram","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":685236,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tinker, M. Tim 0000-0002-3314-839X ttinker@usgs.gov","orcid":"https://orcid.org/0000-0002-3314-839X","contributorId":2796,"corporation":false,"usgs":true,"family":"Tinker","given":"M.","email":"ttinker@usgs.gov","middleInitial":"Tim","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":685234,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mehta, Rita S.","contributorId":189577,"corporation":false,"usgs":false,"family":"Mehta","given":"Rita","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":685237,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70185310,"text":"70185310 - 2017 - The role of salinity tolerance and competition in the distribution of an endangered desert salt marsh endemic","interactions":[],"lastModifiedDate":"2017-03-27T13:22:36","indexId":"70185310","displayToPublicDate":"2017-03-22T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3086,"text":"Plant Ecology","active":true,"publicationSubtype":{"id":10}},"title":"The role of salinity tolerance and competition in the distribution of an endangered desert salt marsh endemic","docAbstract":"Rare plants are often associated with distinctive soil types, and understanding why endemic species occur in unique environments is fundamental for their management. At Ash Meadows National Wildlife Refuge in southern Nevada, USA, we evaluated whether the limited distribution of endangered Amargosa niterwort (Nitrophila mohavensis) is explained by this species’ tolerance of saline soils on salt-encrusted mud flats compared with the broadly distributed desert saltgrass (Distichlis spicata var. stricta). We simultaneously explored whether niterwort distribution is restricted from expanding due to interspecific competition with saltgrass. Surface soils collected throughout niterwort’s range were unexpectedly less saline with lower extractable Na, seasonal electroconductivity, and Na absorption ratio, and higher soil moisture than in adjacent saltgrass or mixed shrub habitats. Comparison of niterwort and saltgrass growth along an experimental salinity gradient in a greenhouse demonstrated lower growth of niterwort at all but the highest NaCl concentrations. Although growth of niterwort ramets was similar when transplanted into both habitats at the refuge below Crystal Reservoir, niterwort reproductive effort was considerably higher in saltgrass compared to its own habitat, implying reallocation of resources to sexual reproduction to maximize fitness when the probability of ramet mortality increases with greater salinity stress. Saltgrass was not a demonstrated direct competitor of niterwort; however, this species is known to increase soil salinity by exuding salt ions and through litterfall. Niterwort conservation will benefit from protecting hydrological processes that reduce salinity stress and preventing saltgrass colonization into niterwort habitat.","language":"English","publisher":"Springer","doi":"10.1007/s11258-017-0704-3","usgsCitation":"DeFalco, L.A., Scoles-Sciulla, S.J., and Beamguard, E.R., 2017, The role of salinity tolerance and competition in the distribution of an endangered desert salt marsh endemic: Plant Ecology, v. 218, no. 4, p. 475-486, https://doi.org/10.1007/s11258-017-0704-3.","productDescription":"12 p. ","startPage":"475","endPage":"486","ipdsId":"IP-082612","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":338016,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","otherGeospatial":"Ash Meadows Wildlife Refuge ","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.34933471679688,\n 36.49418152677427\n ],\n [\n -116.38023376464844,\n 36.466024095566866\n ],\n [\n -116.38298034667969,\n 36.44448503928196\n ],\n [\n -116.33560180664062,\n 36.372092122929686\n ],\n [\n -116.290283203125,\n 36.34776181462616\n ],\n [\n -116.24771118164061,\n 36.349973975123945\n ],\n [\n -116.24153137207031,\n 36.41520442730446\n ],\n [\n -116.25526428222656,\n 36.436751611390264\n ],\n [\n -116.26968383789062,\n 36.436751611390264\n ],\n [\n -116.290283203125,\n 36.43509434800219\n ],\n [\n -116.30058288574219,\n 36.45221769643571\n ],\n [\n -116.3129425048828,\n 36.477619571094515\n ],\n [\n -116.31706237792969,\n 36.49086941889727\n ],\n [\n -116.33697509765625,\n 36.493077506552744\n ],\n [\n -116.34933471679688,\n 36.49418152677427\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"218","issue":"4","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2017-02-04","publicationStatus":"PW","scienceBaseUri":"58d38d39e4b0236b68f98ede","contributors":{"authors":[{"text":"DeFalco, Lesley A. 0000-0002-7542-9261 ldefalco@usgs.gov","orcid":"https://orcid.org/0000-0002-7542-9261","contributorId":177536,"corporation":false,"usgs":true,"family":"DeFalco","given":"Lesley","email":"ldefalco@usgs.gov","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":685121,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scoles-Sciulla, Sara J. 0000-0003-1693-5030 sscoles@usgs.gov","orcid":"https://orcid.org/0000-0003-1693-5030","contributorId":2614,"corporation":false,"usgs":true,"family":"Scoles-Sciulla","given":"Sara","email":"sscoles@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":685122,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beamguard, Emily R.","contributorId":189543,"corporation":false,"usgs":false,"family":"Beamguard","given":"Emily","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":685123,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70185306,"text":"70185306 - 2017 - Expert elicitation, uncertainty, and the value of information in controlling invasive species","interactions":[],"lastModifiedDate":"2017-03-27T13:21:41","indexId":"70185306","displayToPublicDate":"2017-03-22T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1453,"text":"Ecological Economics","active":true,"publicationSubtype":{"id":10}},"title":"Expert elicitation, uncertainty, and the value of information in controlling invasive species","docAbstract":"We illustrate the utility of expert elicitation, explicit recognition of uncertainty, and the value of information for directing management and research efforts for invasive species, using tegu lizards (Salvator merianae) in southern Florida as a case study. We posited a post-birth pulse, matrix model in which four age classes of tegus are recognized: hatchlings, 1 year-old, 2 year-olds, and 3 + year-olds. This matrix model was parameterized using a 3-point process to elicit estimates of tegu demographic rates in southern Florida from 10 herpetology experts. We fit statistical distributions for each parameter and for each expert, then drew and pooled a large number of replicate samples from these to form a distribution for each demographic parameter. Using these distributions, as well as the observed correlations among elicited values, we generated a large sample of matrix population models to infer how the tegu population would respond to control efforts. We used the concepts of Pareto efficiency and stochastic dominance to conclude that targeting older age classes at relatively high rates appears to have the best chance of minimizing tegu abundance and control costs. We conclude that expert opinion combined with an explicit consideration of uncertainty can be valuable in conducting an initial assessment of what control strategy, effort, and monetary resources are needed to reduce and eventually eliminate the invader. Scientists, in turn, can use the value of information to focus research in a way that not only increases the efficacy of control, but minimizes costs as well.","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolecon.2017.03.004","usgsCitation":"Johnson, F.A., Smith, B.J., Bonneau, M., Martin, J., Romagosa, C., Mazzotti, F., Waddle, J., Reed, R., Eckles, J.K., and Vitt, L.J., 2017, Expert elicitation, uncertainty, and the value of information in controlling invasive species: Ecological Economics, v. 137, p. 83-90, https://doi.org/10.1016/j.ecolecon.2017.03.004.","productDescription":"8 p.","startPage":"83","endPage":"90","ipdsId":"IP-079281","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":469996,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolecon.2017.03.004","text":"Publisher Index Page"},{"id":338017,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"137","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58d38d39e4b0236b68f98ee0","chorus":{"doi":"10.1016/j.ecolecon.2017.03.004","url":"http://dx.doi.org/10.1016/j.ecolecon.2017.03.004","publisher":"Elsevier BV","authors":"Johnson Fred A., Smith Brian J., Bonneau Mathieu, Martin Julien, Romagosa Christina, Mazzotti Frank, Waddle Hardin, Reed Robert N., Eckles Jennifer Kettevrlin, Vitt Laurie J.","journalName":"Ecological Economics","publicationDate":"7/2017"},"contributors":{"authors":[{"text":"Johnson, Fred A. 0000-0002-5854-3695 fjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-5854-3695","contributorId":2773,"corporation":false,"usgs":true,"family":"Johnson","given":"Fred","email":"fjohnson@usgs.gov","middleInitial":"A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":685102,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Brian J. 0000-0002-0531-0492 bjsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-0531-0492","contributorId":899,"corporation":false,"usgs":true,"family":"Smith","given":"Brian","email":"bjsmith@usgs.gov","middleInitial":"J.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":685103,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bonneau, Mathieu","contributorId":150041,"corporation":false,"usgs":false,"family":"Bonneau","given":"Mathieu","email":"","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":685104,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Martin, Julien 0000-0002-7375-129X julienmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-7375-129X","contributorId":5785,"corporation":false,"usgs":true,"family":"Martin","given":"Julien","email":"julienmartin@usgs.gov","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":685105,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Romagosa, Christina","contributorId":178167,"corporation":false,"usgs":false,"family":"Romagosa","given":"Christina","affiliations":[],"preferred":false,"id":685106,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mazzotti, Frank J.","contributorId":12358,"corporation":false,"usgs":false,"family":"Mazzotti","given":"Frank J.","affiliations":[{"id":12604,"text":"Department of Wildlife Ecology and Conservation, Fort Lauderdale Research and Education Center, 3205 College Avenue, University of Florida, Davie, FL 33314, USA","active":true,"usgs":false}],"preferred":false,"id":685107,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Waddle, J. Hardin 0000-0003-1940-2133 waddleh@usgs.gov","orcid":"https://orcid.org/0000-0003-1940-2133","contributorId":168952,"corporation":false,"usgs":true,"family":"Waddle","given":"J. Hardin","email":"waddleh@usgs.gov","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":685108,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Reed, Robert 0000-0001-8349-6168 reedr@usgs.gov","orcid":"https://orcid.org/0000-0001-8349-6168","contributorId":152301,"corporation":false,"usgs":true,"family":"Reed","given":"Robert","email":"reedr@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":685109,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Eckles, Jennifer Kettevrlin","contributorId":189539,"corporation":false,"usgs":false,"family":"Eckles","given":"Jennifer","email":"","middleInitial":"Kettevrlin","affiliations":[],"preferred":false,"id":685110,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Vitt, Laurie J.","contributorId":147516,"corporation":false,"usgs":false,"family":"Vitt","given":"Laurie","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":685111,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70185336,"text":"70185336 - 2017 - Relationships between salinity and short-term soil carbon accumulation rates form marsh types across a landscape in the Mississippi River Delta","interactions":[],"lastModifiedDate":"2020-09-10T19:31:53.641812","indexId":"70185336","displayToPublicDate":"2017-03-22T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Relationships between salinity and short-term soil carbon accumulation rates form marsh types across a landscape in the Mississippi River Delta","docAbstract":"Salinity alterations will likely change the plant and environmental characteristics in coastal marshes thereby influencing soil carbon accumulation rates. Coastal Louisiana marshes have been historically classified as fresh, intermediate, brackish, or saline based on resident plant community and position along a salinity gradient. Short-term total carbon accumulation rates were assessed by collecting 10-cm deep soil cores at 24 sites located in marshes spanning the salinity gradient. Bulk density, total carbon content, and the short-term accretion rates obtained with feldspar horizon markers were measured to determine total carbon accumulation rates. Despite some significant differences in soil properties among marsh types, the mean total carbon accumulation rates among marsh types were not significantly different (mean ± std. err. of 190 ± 27 g TC m−2 year−1). However, regression analysis indicated that mean annual surface salinity had a significant negative relationship with total carbon accumulation rates. Based on both analyses, the coastal Louisiana total marsh area (1,433,700 ha) accumulates about 2.7 to 3.3 Tg C year−1. Changing salinities due to increasing relative sea level or resulting from restoration activities may alter carbon accumulation rates in the short term and significantly influence the global carbon cycle.
","language":"English","publisher":"Springer","doi":"10.1007/s13157-016-0871-3","usgsCitation":"Baustian, M., Stagg, C.L., Perry, C.L., Moss, L., Carruthers, T., and Allison, M., 2017, Relationships between salinity and short-term soil carbon accumulation rates form marsh types across a landscape in the Mississippi River Delta: Wetlands, v. 37, no. 2, p. 313-324, https://doi.org/10.1007/s13157-016-0871-3.","productDescription":"12 p.","startPage":"313","endPage":"324","ipdsId":"IP-079610","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":461693,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s13157-016-0871-3","text":"Publisher Index Page"},{"id":338069,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":378319,"rank":2,"type":{"id":12,"text":"Errata"},"url":"https://doi.org/10.1007/s13157-020-01283-8","linkHelpText":"Correction to: “Relationships Between Salinity and Short-Term Soil Carbon Accumulation Rates from Marsh Types Across a Landscape in the Mississippi River Delta”"}],"country":"United States","state":"Louisiana","otherGeospatial":"Mississippi River Delta","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.5106201171875,\n 28.9023972285585\n ],\n [\n -88.87939453125,\n 28.9023972285585\n ],\n [\n -88.87939453125,\n 30.149877316442065\n ],\n [\n -91.5106201171875,\n 30.149877316442065\n ],\n [\n -91.5106201171875,\n 28.9023972285585\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"37","issue":"2","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-06","publicationStatus":"PW","scienceBaseUri":"58d38d39e4b0236b68f98edc","chorus":{"doi":"10.1007/s13157-016-0871-3","url":"http://dx.doi.org/10.1007/s13157-016-0871-3","publisher":"Springer Nature","authors":"Baustian Melissa M., Stagg Camille L., Perry Carey L., Moss Leland C., Carruthers Tim J. B., Allison Mead","journalName":"Wetlands","publicationDate":"1/6/2017","auditedOn":"2/15/2017","publiclyAccessibleDate":"1/6/2017"},"contributors":{"authors":[{"text":"Baustian, Melissa M.","contributorId":189569,"corporation":false,"usgs":false,"family":"Baustian","given":"Melissa M.","affiliations":[],"preferred":false,"id":685223,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stagg, Camille L. 0000-0002-1125-7253 staggc@usgs.gov","orcid":"https://orcid.org/0000-0002-1125-7253","contributorId":4111,"corporation":false,"usgs":true,"family":"Stagg","given":"Camille","email":"staggc@usgs.gov","middleInitial":"L.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":685222,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Perry, Carey L.","contributorId":189570,"corporation":false,"usgs":false,"family":"Perry","given":"Carey","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":685224,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moss, Leland C","contributorId":189571,"corporation":false,"usgs":false,"family":"Moss","given":"Leland C","affiliations":[],"preferred":false,"id":685225,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Carruthers, Tim J. B.","contributorId":140566,"corporation":false,"usgs":false,"family":"Carruthers","given":"Tim J. B.","affiliations":[],"preferred":false,"id":685226,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Allison, Mead","contributorId":189572,"corporation":false,"usgs":false,"family":"Allison","given":"Mead","affiliations":[],"preferred":false,"id":685227,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70185291,"text":"ofr20171035 - 2017 - Distribution, nesting activities, and age-class of territorial pairs of golden eagles at the Altamont Pass Wind Resource Area, California, 2014–16","interactions":[],"lastModifiedDate":"2017-11-22T15:51:58","indexId":"ofr20171035","displayToPublicDate":"2017-03-22T00:00:00","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":"2017-1035","title":"Distribution, nesting activities, and age-class of territorial pairs of golden eagles at the Altamont Pass Wind Resource Area, California, 2014–16","docAbstract":"The substantial numbers of golden eagles (Aquila chrysaetos) killed by collisions with oldgeneration wind turbines each year at the Altamont Pass Wind Resource Area (APWRA) in California has been well documented from previous studies. Few eagle nests have been documented in the APWRA, however, and adults and subadults 3+ years of age killed by turbines were generally not associated with nearby territories. We searched a subset of randomly selected survey plots for territorial pairs of golden eagles and associated nesting attempts within the APWRA as part of a broader investigation of population dynamics in the surrounding northern Diablo Range. In contrast to limited historical observations from 1988 to 2013, our surveys documented up to 15 territorial pairs within 3.2 kilometers (km) of wind turbines at the APWRA annually, 9 of which were not previously documented or only observed intermittently during historical surveys. We found evidence of nesting activity by adult pairs at least once during our study at six of these territories. We also determined that 23–36 percent of territories identified within 3.2 km of the APWRA had a subadult pair member, but that no pairs with a subadult member attempted to nest. These data will be useful to developers, wildlife managers, and future raptor studies in the area to evaluate and minimize the potential effects of wind energy or other development activities on previously unknown territorial pairs in the area.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171035","collaboration":"Prepared in cooperation with Next Era Energy, Inc., U.S. Fish and Wildlife Service, East Bay Regional Park District, and The Peregrine Fund, Inc.","usgsCitation":"Kolar, P.S., and Wiens, J.D., 2017, Distribution, nesting activities, and age-class of territorial pairs of golden\neagles at the Altamont Pass Wind Resource Area, California, 2014–16: U.S. Geological Survey Open-File\nReport 2017–1035, 18 p., https://doi.org/10.3133/ofr20171035.","productDescription":"iv, 18 p.","onlineOnly":"Y","ipdsId":"IP-081674","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":338092,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1035/ofr20171035.pdf","text":"Report","size":"1.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1035"},{"id":338091,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1035/coverthb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Altamont Pass Wind Resource Area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.8,\n 37.866667\n ],\n [\n -121.366667,\n 37.866667\n ],\n [\n -121.366667,\n 37.533333\n ],\n [\n -121.8,\n 37.533333\n ],\n [\n -121.8,\n 37.866667\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Forest and Rangeland Ecosystem Science Center
U.S. Geological Survey
777 NW 9th St., Suite 400
Corvallis, Oregon 97330
http://fresc.usgs.gov/
Restrictive angling regulations in tailwater trout fisheries may be unsuccessful if food availability limits energy for fish to grow. We examined spatial and temporal variation in energy intake and growth in populations of Brown Trout Salmo trutta and Rainbow Trout Oncorhynchus mykiss within three catch-and-release (C-R) areas in Arkansas tailwaters to evaluate food availability compared with consumption. Based on bioenergetic simulations, Rainbow Trout fed at submaintenance levels in both size-classes (≤400 mm TL, >400 mm TL) throughout most seasons. A particular bottleneck in food availability occurred in the winter for Rainbow Trout when the daily ration was substantially below the minimum required for maintenance, despite reduced metabolic costs associated with lower water temperatures. Rainbow Trout growth rates followed a similar pattern to consumption with negative growth rates during the winter periods. All three size-classes (<250 mm TL, 250–400 mm TL, >400 mm TL) of Brown Trout experienced high growth rates and limited temporal bottlenecks in food availability. We observed higher mean densities for Rainbow Trout (47–342 fish/ha) than for Brown Trout (3–84 fish/ha) in all C-R areas. Lower densities of Brown Trout coupled with an ontogenetic shift towards piscivory may have allowed for higher growth rates and sufficient consumption rates to meet energetic demands. Brown Trout at current densities were more effective in maintaining adequate growth rates and larger sizes in C-R areas than were Rainbow Trout. Bioenergetic simulations suggest that reducing stocking levels of Rainbow Trout in the tailwaters may be necessary in order to achieve increased catch rates of larger trout in the C-R areas.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2017.1281169","usgsCitation":"Flinders, J.M., and Magoulick, D.D., 2017, Spatial and temporal consumption dynamics of trout in catch-and-release areas in Arkansas tailwaters: Transactions of the American Fisheries Society, v. 146, no. 3, p. 432-449, https://doi.org/10.1080/00028487.2017.1281169.","productDescription":"18 p.","startPage":"432","endPage":"449","ipdsId":"IP-082134","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":348453,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas","county":"Baxter County, Marion County","otherGeospatial":"Ozark Highlands, White River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -92.15126037597656,\n 35.94187983750328\n ],\n [\n -92.05924987792969,\n 35.94187983750328\n ],\n [\n -92.05924987792969,\n 36.01467140204727\n ],\n [\n -92.15126037597656,\n 36.01467140204727\n ],\n [\n -92.15126037597656,\n 35.94187983750328\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -92.57835388183594,\n 36.34776181462616\n ],\n [\n -92.56221771240233,\n 36.34776181462616\n ],\n [\n -92.56221771240233,\n 36.35965143826626\n ],\n [\n -92.57835388183594,\n 36.35965143826626\n ],\n [\n -92.57835388183594,\n 36.34776181462616\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -92.23846435546875,\n 36.22765795501122\n ],\n [\n -92.22232818603516,\n 36.22765795501122\n ],\n [\n -92.22232818603516,\n 36.23984280222428\n ],\n [\n -92.23846435546875,\n 36.23984280222428\n ],\n [\n -92.23846435546875,\n 36.22765795501122\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"146","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-21","publicationStatus":"PW","scienceBaseUri":"5a0425bbe4b0dc0b45b453ad","contributors":{"authors":[{"text":"Flinders, John M.","contributorId":200040,"corporation":false,"usgs":false,"family":"Flinders","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":721155,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Magoulick, Daniel D. 0000-0001-9665-5957 danmag@usgs.gov","orcid":"https://orcid.org/0000-0001-9665-5957","contributorId":2513,"corporation":false,"usgs":true,"family":"Magoulick","given":"Daniel","email":"danmag@usgs.gov","middleInitial":"D.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":720513,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70185352,"text":"70185352 - 2017 - Acoustic telemetry and fisheries management","interactions":[],"lastModifiedDate":"2017-06-01T10:39:19","indexId":"70185352","displayToPublicDate":"2017-03-21T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Acoustic telemetry and fisheries management","docAbstract":"This paper reviews the use of acoustic telemetry as a tool for addressing issues in fisheries management, and serves as the lead to the special Feature Issue of Ecological Applications titled “Acoustic Telemetry and Fisheries Management”. Specifically, we provide an overview of the ways in which acoustic telemetry can be used to inform issues central to the ecology, conservation, and management of exploited and/or imperiled fish species. Despite great strides in this area in recent years, there are comparatively few examples where data have been applied directly to influence fisheries management and policy. We review the literature on this issue, identify the strengths and weaknesses of work done to date, and highlight knowledge gaps and difficulties in applying empirical fish telemetry studies to fisheries policy and practice. We then highlight the key areas of management and policy addressed, as well as the challenges that needed to be overcome to do this. We conclude with a set of recommendations about how researchers can, in consultation with stock assessment scientists and managers, formulate testable scientific questions to address and design future studies to generate data that can be used in a meaningful way by fisheries management and conservation practitioners. We also urge the involvement of relevant stakeholders (managers, fishers, conservation societies, etc.) early on in the process (i.e. in the co-creation of research projects), so that all priority questions and issues can be addressed effectively.
","language":"English","publisher":"Ecological Society of America","publisherLocation":"Washington, D.C.","doi":"10.1002/eap.1533","usgsCitation":"Crossin, G.T., Heupel, M.R., Holbrook, C., Hussey, N.E., Lowerre-Barbieri, S.K., Nguyen, V., Raby, G., and Cooke, S., 2017, Acoustic telemetry and fisheries management: Ecological Applications, v. 27, no. 4, p. 1031-1049, https://doi.org/10.1002/eap.1533.","productDescription":"19 p.","startPage":"1031","endPage":"1049","ipdsId":"IP-080693","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":337915,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"27","issue":"4","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-02","publicationStatus":"PW","scienceBaseUri":"58d23b8fe4b0236b68f828e8","contributors":{"authors":[{"text":"Crossin, Glenn T.","contributorId":189588,"corporation":false,"usgs":false,"family":"Crossin","given":"Glenn","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":685302,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Heupel, Michelle R.","contributorId":189589,"corporation":false,"usgs":false,"family":"Heupel","given":"Michelle","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":685303,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Holbrook, Christopher M. 0000-0001-8203-6856 cholbrook@usgs.gov","orcid":"https://orcid.org/0000-0001-8203-6856","contributorId":139681,"corporation":false,"usgs":true,"family":"Holbrook","given":"Christopher","email":"cholbrook@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":685283,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hussey, Nigel E.","contributorId":189590,"corporation":false,"usgs":false,"family":"Hussey","given":"Nigel","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":685304,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lowerre-Barbieri, Susan K.","contributorId":189591,"corporation":false,"usgs":false,"family":"Lowerre-Barbieri","given":"Susan","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":685287,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nguyen, Vivian M.","contributorId":166922,"corporation":false,"usgs":false,"family":"Nguyen","given":"Vivian M.","affiliations":[{"id":17786,"text":"Carleton University","active":true,"usgs":false}],"preferred":false,"id":685288,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Raby, Graham D.","contributorId":189592,"corporation":false,"usgs":false,"family":"Raby","given":"Graham D.","affiliations":[],"preferred":false,"id":685305,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Cooke, Steven J.","contributorId":56132,"corporation":false,"usgs":false,"family":"Cooke","given":"Steven J.","affiliations":[{"id":36574,"text":"Carleton University, Ottawa, Ontario","active":true,"usgs":false}],"preferred":false,"id":685289,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70185342,"text":"70185342 - 2017 - A model to inform management actions as a response to chytridiomycosis-associated decline","interactions":[],"lastModifiedDate":"2017-03-21T09:02:43","indexId":"70185342","displayToPublicDate":"2017-03-21T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1443,"text":"EcoHealth","active":true,"publicationSubtype":{"id":10}},"title":"A model to inform management actions as a response to chytridiomycosis-associated decline","docAbstract":"Decision-analytic models provide forecasts of how systems of interest will respond to management. These models can be parameterized using empirical data, but sometimes require information elicited from experts. When evaluating the effects of disease in species translocation programs, expert judgment is likely to play a role because complete empirical information will rarely be available. We illustrate development of a decision-analytic model built to inform decision-making regarding translocations and other management actions for the boreal toad (Anaxyrus boreas boreas), a species with declines linked to chytridiomycosis caused by Batrachochytrium dendrobatidis (Bd). Using the model, we explored the management implications of major uncertainties in this system, including whether there is a genetic basis for resistance to pathogenic infection by Bd, how translocation can best be implemented, and the effectiveness of efforts to reduce the spread of Bd. Our modeling exercise suggested that while selection for resistance to pathogenic infectionDecision-analytic models provide forecasts of how systems of interest will respond to management. These models can be parameterized using empirical data, but sometimes require information elicited from experts. When evaluating the effects of disease in species translocation programs, expert judgment is likely to play a role because complete empirical information will rarely be available. We illustrate development of a decision-analytic model built to inform decision-making regarding translocations and other management actions for the boreal toad (Anaxyrus boreas boreas), a species with declines linked to chytridiomycosis caused by Batrachochytrium dendrobatidis (Bd). Using the model, we explored the management implications of major uncertainties in this system, including whether there is a genetic basis for resistance to pathogenic infection by Bd, how translocation can best be implemented, and the effectiveness of efforts to reduce the spread of Bd. Our modeling exercise suggested that while selection for resistance to pathogenic infection by Bd could increase numbers of sites occupied by toads, and translocations could increase the rate of toad recovery, efforts to reduce the spread of Bd may have little effect. We emphasize the need to continue developing and parameterizing models necessary to assess management actions for combating chytridiomycosis-associated declines. by Bd could increase numbers of sites occupied by toads, and translocations could increase the rate of toad recovery, efforts to reduce the spread of Bd may have little effect. We emphasize the need to continue developing and parameterizing models necessary to assess management actions for combating chytridiomycosis-associated declines.
","language":"English","publisher":"Springer","publisherLocation":"New York","doi":"10.1007/s10393-016-1117-9","usgsCitation":"Converse, S.J., Bailey, L., Mosher, B.A., Funk, W.C., Gerber, B.D., and Muths, E.L., 2017, A model to inform management actions as a response to chytridiomycosis-associated decline: EcoHealth, v. 14, no. 1, p. 144-155, https://doi.org/10.1007/s10393-016-1117-9.","productDescription":"12 p.","startPage":"144","endPage":"155","ipdsId":"IP-070781","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":337907,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"1","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2016-04-07","publicationStatus":"PW","scienceBaseUri":"58d23b90e4b0236b68f828ec","chorus":{"doi":"10.1007/s10393-016-1117-9","url":"http://dx.doi.org/10.1007/s10393-016-1117-9","publisher":"Springer Nature","authors":"Converse Sarah J., Bailey Larissa L., Mosher Brittany A., Funk W. Chris, Gerber Brian D., Muths Erin","journalName":"EcoHealth","publicationDate":"4/7/2016","auditedOn":"8/1/2016","publiclyAccessibleDate":"4/7/2016"},"contributors":{"authors":[{"text":"Converse, Sarah J. 0000-0002-3719-5441 sconverse@usgs.gov","orcid":"https://orcid.org/0000-0002-3719-5441","contributorId":173772,"corporation":false,"usgs":true,"family":"Converse","given":"Sarah","email":"sconverse@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":685238,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bailey, Larissa L.","contributorId":93183,"corporation":false,"usgs":true,"family":"Bailey","given":"Larissa L.","affiliations":[],"preferred":false,"id":685239,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mosher, Brittany A.","contributorId":189579,"corporation":false,"usgs":false,"family":"Mosher","given":"Brittany","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":685281,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Funk, W. Chris 0000-0002-9254-6718","orcid":"https://orcid.org/0000-0002-9254-6718","contributorId":97589,"corporation":false,"usgs":false,"family":"Funk","given":"W.","email":"","middleInitial":"Chris","affiliations":[{"id":6998,"text":"Department of Biology, Colorado State University","active":true,"usgs":false}],"preferred":false,"id":685241,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gerber, Brian D.","contributorId":187620,"corporation":false,"usgs":false,"family":"Gerber","given":"Brian","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":685282,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Muths, Erin L. 0000-0002-5498-3132 muthse@usgs.gov","orcid":"https://orcid.org/0000-0002-5498-3132","contributorId":1260,"corporation":false,"usgs":true,"family":"Muths","given":"Erin","email":"muthse@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":685242,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70185344,"text":"70185344 - 2017 - Harmonization of forest disturbance datasets of the conterminous USA from 1986 to 2011","interactions":[],"lastModifiedDate":"2022-04-22T16:06:14.62554","indexId":"70185344","displayToPublicDate":"2017-03-21T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1552,"text":"Environmental Monitoring and Assessment","onlineIssn":"1573-2959","printIssn":"0167-6369","active":true,"publicationSubtype":{"id":10}},"title":"Harmonization of forest disturbance datasets of the conterminous USA from 1986 to 2011","docAbstract":"Several spatial forest disturbance datasets exist for the conterminous USA. The major problem with forest disturbance mapping is that variability between map products leads to uncertainty regarding the actual rate of disturbance. In this article, harmonized maps were produced from multiple data sources (i.e., Global Forest Change, LANDFIRE Vegetation Disturbance, National Land Cover Database, Vegetation Change Tracker, and Web-Enabled Landsat Data). The harmonization process involved fitting common class ontologies and determining spatial congruency to produce forest disturbance maps for four time intervals (1986–1992, 1992–2001, 2001–2006, and 2006–2011). Pixels mapped as disturbed for two or more datasets were labeled as disturbed in the harmonized maps. The primary advantage gained by harmonization was improvement in commission error rates relative to the individual disturbance products. Disturbance omission errors were high for both harmonized and individual forest disturbance maps due to underlying limitations in mapping subtle disturbances with Landsat classification algorithms. To enhance the value of the harmonized disturbance products, we used fire perimeter maps to add information on the cause of disturbance.
","language":"English","publisher":"Kluwer","publisherLocation":"Dordrecht","doi":"10.1007/s10661-017-5879-5","usgsCitation":"Soulard, C.E., Acevedo, W., Cohen, W.B., Yang, Z., Stehman, S.V., and Taylor, J.L., 2017, Harmonization of forest disturbance datasets of the conterminous USA from 1986 to 2011: Environmental Monitoring and Assessment, v. 189, 170: 17 p., https://doi.org/10.1007/s10661-017-5879-5.","productDescription":"170: 17 p.","ipdsId":"IP-075245","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":337906,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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\"}}]}","volume":"189","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-18","publicationStatus":"PW","scienceBaseUri":"58d23b90e4b0236b68f828ea","chorus":{"doi":"10.1007/s10661-017-5879-5","url":"http://dx.doi.org/10.1007/s10661-017-5879-5","publisher":"Springer Nature","authors":"Soulard Christopher E., Acevedo William, Cohen Warren B., Yang Zhiqiang, Stehman Stephen V., Taylor Janis L.","journalName":"Environmental Monitoring and Assessment","publicationDate":"3/18/2017","auditedOn":"3/20/2017","publiclyAccessibleDate":"3/18/2017"},"contributors":{"authors":[{"text":"Soulard, Christopher E. 0000-0002-5777-9516 csoulard@usgs.gov","orcid":"https://orcid.org/0000-0002-5777-9516","contributorId":2642,"corporation":false,"usgs":true,"family":"Soulard","given":"Christopher","email":"csoulard@usgs.gov","middleInitial":"E.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":685248,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Acevedo, William wacevedo@usgs.gov","contributorId":2689,"corporation":false,"usgs":true,"family":"Acevedo","given":"William","email":"wacevedo@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":685249,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cohen, Warren B.","contributorId":100093,"corporation":false,"usgs":true,"family":"Cohen","given":"Warren","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":685250,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yang, Zhiqiang","contributorId":189584,"corporation":false,"usgs":false,"family":"Yang","given":"Zhiqiang","email":"","affiliations":[],"preferred":false,"id":685280,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stehman, Stephen V.","contributorId":77283,"corporation":false,"usgs":true,"family":"Stehman","given":"Stephen","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":685252,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Taylor, Janis L. 0000-0002-9418-5215 jltaylor@usgs.gov","orcid":"https://orcid.org/0000-0002-9418-5215","contributorId":147371,"corporation":false,"usgs":true,"family":"Taylor","given":"Janis","email":"jltaylor@usgs.gov","middleInitial":"L.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":685253,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70185353,"text":"70185353 - 2017 - Changes in community-level riparian plant traits over inundation gradients, Colorado River, Grand Canyon","interactions":[],"lastModifiedDate":"2017-09-05T12:57:05","indexId":"70185353","displayToPublicDate":"2017-03-21T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Changes in community-level riparian plant traits over inundation gradients, Colorado River, Grand Canyon","docAbstract":"Comparisons of community-level functional traits across environmental gradients have potential for identifying links among plant characteristics, adaptations to stress and disturbance, and community assembly. We investigated community-level variation in specific leaf area (SLA), plant mature height, seed mass, stem specific gravity (SSG), relative cover of C4 species, and total plant cover over hydrologic zones and gradients in years 2013 and 2014 in the riparian plant community along the Colorado River in the Grand Canyon. Vegetation cover was lowest in the frequently inundated active channel zone, indicating constraints on plant establishment and production by flood disturbance and anaerobic stress. Changes in trait values over hydrologic zones and inundation gradients indicate that frequently inundated plots exhibit a community-level ruderal strategy with adaptation to submergence (high SLA and low SSG, height, seed mass, C4 relative cover), whereas less frequently inundated plots exhibit adaptation to drought and infrequent flood disturbance (low SLA and high SSG, height, seed mass, C4 relative cover). Variation in traits not associated with inundation suggests niche differentiation and multiple modes of community assembly. The results enhance understanding of future responses of riparian communities of the Grand Canyon to anticipated drying and changes in hydrologic regime.
","language":"English","publisher":"Springer","doi":"10.1007/s13157-017-0895-3","usgsCitation":"McCoy-Sulentic, M., Kolb, T., Merritt, D., Palmquist, E.C., Ralston, B.E., Sarr, D., and Shafroth, P.B., 2017, Changes in community-level riparian plant traits over inundation gradients, Colorado River, Grand Canyon: Wetlands, v. 37, no. 4, p. 635-646, https://doi.org/10.1007/s13157-017-0895-3.","productDescription":"12 p.","startPage":"635","endPage":"646","ipdsId":"IP-080895","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":469998,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s13157-017-0895-3","text":"Publisher Index Page"},{"id":438413,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F73R0R24","text":"USGS data release","linkHelpText":"Community-level riparian plant traits, Colorado River, Grand Canyon, 2013-2015Data"},{"id":337910,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Grand Canyon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -113.78814697265625,\n 35.62381451392674\n ],\n [\n -111.60186767578125,\n 35.62381451392674\n ],\n [\n -111.60186767578125,\n 36.84446074079564\n ],\n [\n -113.78814697265625,\n 36.84446074079564\n ],\n [\n -113.78814697265625,\n 35.62381451392674\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"37","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-17","publicationStatus":"PW","scienceBaseUri":"58d23b8ee4b0236b68f828e6","chorus":{"doi":"10.1007/s13157-017-0895-3","url":"http://dx.doi.org/10.1007/s13157-017-0895-3","publisher":"Springer Nature","authors":"McCoy-Sulentic Miles E., Kolb Thomas E., Merritt David M., Palmquist Emily, Ralston Barbara E., Sarr Daniel A., Shafroth Patrick B.","journalName":"Wetlands","publicationDate":"3/17/2017","auditedOn":"3/20/2017","publiclyAccessibleDate":"3/17/2017"},"contributors":{"authors":[{"text":"McCoy-Sulentic, Miles","contributorId":189593,"corporation":false,"usgs":false,"family":"McCoy-Sulentic","given":"Miles","affiliations":[],"preferred":false,"id":685292,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kolb, Thomas","contributorId":174381,"corporation":false,"usgs":false,"family":"Kolb","given":"Thomas","affiliations":[],"preferred":false,"id":685293,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Merritt, David","contributorId":189308,"corporation":false,"usgs":false,"family":"Merritt","given":"David","affiliations":[],"preferred":false,"id":685294,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Palmquist, Emily C. 0000-0003-1069-2154 epalmquist@usgs.gov","orcid":"https://orcid.org/0000-0003-1069-2154","contributorId":5669,"corporation":false,"usgs":true,"family":"Palmquist","given":"Emily","email":"epalmquist@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":685291,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ralston, Barbara E. 0000-0001-9991-8994 bralston@usgs.gov","orcid":"https://orcid.org/0000-0001-9991-8994","contributorId":606,"corporation":false,"usgs":true,"family":"Ralston","given":"Barbara","email":"bralston@usgs.gov","middleInitial":"E.","affiliations":[{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true}],"preferred":false,"id":685295,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sarr, Daniel","contributorId":71148,"corporation":false,"usgs":true,"family":"Sarr","given":"Daniel","affiliations":[],"preferred":false,"id":685301,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Shafroth, Patrick B. 0000-0002-6064-871X shafrothp@usgs.gov","orcid":"https://orcid.org/0000-0002-6064-871X","contributorId":2000,"corporation":false,"usgs":true,"family":"Shafroth","given":"Patrick","email":"shafrothp@usgs.gov","middleInitial":"B.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":685296,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70259478,"text":"70259478 - 2017 - Early postcaldera rhyolite and structural resurgence at Long Valley Caldera, California","interactions":[],"lastModifiedDate":"2024-10-09T15:08:30.497692","indexId":"70259478","displayToPublicDate":"2017-03-20T09:58:20","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Early postcaldera rhyolite and structural resurgence at Long Valley Caldera, California","docAbstract":"A sequence of late Holocene eruptions from the Ubehebe Crater cluster in Death Valley was short-lived, emplacing several phreatomagmatic and magmatic deposits. Seven craters form the main group, which erupted along a north-south alignment 1.5 km long. At least five more make a 500-m east-west alignment west of the main crater group. One more is an isolated shallow crater ~ 400 m south of that alignment. All erupted through Miocene fanglomerate and sandstone, which are now distributed as comminuted matrix and lithic clasts in all Ubehebe deposits. Stratigraphic evidence showing that all Ubehebe strata were emplaced within a short time interval includes: (1) deposits from the many Ubehebe vents make a multi-package sequence that conformably drapes paleo-basement topography with no erosive gullying between emplacement units; (2) several crater rims that formed early in the eruptive sequence are draped smoothly by subsequent deposits; and (3) tack-welded to agglutinated spatter and bombs that erupted at various times through the sequence remained hot enough to oxidize the overlying youngest emplacement package. In addition, all deposits sufficiently consolidated to be drilled yield reliable paleomagnetic directions, with site mean directions showing no evidence of geomagnetic secular variation. Chemical analyses of juvenile components representing every eruptive package yield a narrow range in major elements [SiO2 (48.65–50.11); MgO (4.98–6.23); K2O (2.24–2.39)] and trace elements [Rb (28–33); Sr (1513–1588); Zr (373–404)]. Despite lithologic similarities, individual fall units can be traced outward from vent by recording layer thicknesses, maximum scoria and lithic sizes, and juvenile clast textural variations. This permits reconstruction of the eruptive sequence, which produced a variety of eruptive styles. The largest and northernmost of the craters, Ubehebe Crater, is the youngest of the group. Its largely phreatomagmatic deposits drape all of the others, thicken in paleogullies and thin over several newly created crater rims. Evidence in-hand virtually requires that the Ubehebe cluster of craters erupted over a brief time interval, not protracted over centuries.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2017.02.010","usgsCitation":"Fierstein, J., and Hildreth, W., 2017, Eruptive history of the Ubehebe Crater Cluster, Death Valley, California: Journal of Volcanology and Geothermal Research, v. 335, p. 128-146, https://doi.org/10.1016/j.jvolgeores.2017.02.010.","productDescription":"19 p.","startPage":"128","endPage":"146","ipdsId":"IP-078749","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":469999,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jvolgeores.2017.02.010","text":"Publisher Index Page"},{"id":462597,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Death Valley, Ubehebe Crater cluster","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -117.47952287843592,\n 37.02483016348354\n ],\n [\n -117.47952287843592,\n 36.99064923585267\n ],\n [\n -117.43323940055313,\n 36.99064923585267\n ],\n [\n -117.43323940055313,\n 37.02483016348354\n ],\n [\n -117.47952287843592,\n 37.02483016348354\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"335","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Fierstein, Judith E. 0000-0001-8024-1426","orcid":"https://orcid.org/0000-0001-8024-1426","contributorId":329988,"corporation":false,"usgs":true,"family":"Fierstein","given":"Judith E.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":915053,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hildreth, Wes 0000-0002-7925-4251 hildreth@usgs.gov","orcid":"https://orcid.org/0000-0002-7925-4251","contributorId":2221,"corporation":false,"usgs":true,"family":"Hildreth","given":"Wes","email":"hildreth@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":915054,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70185288,"text":"70185288 - 2017 - Effects of internal phosphorus loadings and food-web structure on the recovery of a deep lake from eutrophication","interactions":[],"lastModifiedDate":"2017-03-20T08:25:20","indexId":"70185288","displayToPublicDate":"2017-03-20T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Effects of internal phosphorus loadings and food-web structure on the recovery of a deep lake from eutrophication","docAbstract":"We used monitoring data from Lake Lugano (Switzerland and Italy) to assess key ecosystem responses to three decades of nutrient management (1983–2014). We investigated whether reductions in external phosphorus loadings (Lext) caused declines in lake phosphorus concentrations (P) and phytoplankton biomass (Chl a), as assumed by the predictive models that underpinned the management plan. Additionally, we examined the hypothesis that deep lakes respond quickly to Lext reductions. During the study period, nutrient management reduced Lext by approximately a half. However, the effects of such reduction on P and Chl a were complex. Far from the scenarios predicted by classic nutrient-management approaches, the responses of P and Chl a did not only reflect changes in Lext, but also variation in internal P loadings (Lint) and food-web structure. In turn, Lint varied depending on basin morphometry and climatic effects, whereas food-web structure varied due to apparently stochastic events of colonization and near-extinction of key species. Our results highlight the complexity of the trajectory of deep-lake ecosystems undergoing nutrient management. From an applied standpoint, they also suggest that [i] the recovery of warm monomictic lakes may be slower than expected due to the development of Lint, and that [ii] classic P and Chl a models based on Lext may be useful in nutrient management programs only if their predictions are used as starting points within adaptive frameworks.
","language":"English","publisher":"International Association for Great Lakes Research","publisherLocation":"Ann Arbor","doi":"10.1016/j.jglr.2017.01.008","usgsCitation":"Lepori, F., and Roberts, J., 2017, Effects of internal phosphorus loadings and food-web structure on the recovery of a deep lake from eutrophication: Journal of Great Lakes Research, v. 43, no. 2, p. 255-264, https://doi.org/10.1016/j.jglr.2017.01.008.","productDescription":"10 p.","startPage":"255","endPage":"264","ipdsId":"IP-076985","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":337833,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Italy, Switzerland","otherGeospatial":"Lake Lugano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 8.828201293945312,\n 45.8876184503559\n ],\n [\n 9.142684936523436,\n 45.8876184503559\n ],\n [\n 9.142684936523436,\n 46.056079276178885\n ],\n [\n 8.828201293945312,\n 46.056079276178885\n ],\n [\n 8.828201293945312,\n 45.8876184503559\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"43","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58d0ea1ae4b0236b68f67365","contributors":{"authors":[{"text":"Lepori, Fabio","contributorId":166767,"corporation":false,"usgs":false,"family":"Lepori","given":"Fabio","email":"","affiliations":[{"id":24502,"text":"Institute of Earth Sciences, University of Applied Sciences and Arts of Southern Switzerland","active":true,"usgs":false}],"preferred":false,"id":685030,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roberts, James 0000-0002-4193-610X jroberts@usgs.gov","orcid":"https://orcid.org/0000-0002-4193-610X","contributorId":5453,"corporation":false,"usgs":true,"family":"Roberts","given":"James","email":"jroberts@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":685029,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ]}