{"pageNumber":"1316","pageRowStart":"32875","pageSize":"25","recordCount":165313,"records":[{"id":70111702,"text":"70111702 - 2014 - The carbon cycle and hurricanes in the United States between 1900 and 2011","interactions":[],"lastModifiedDate":"2014-06-06T13:40:00","indexId":"70111702","displayToPublicDate":"2014-06-03T13:35:34","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"The carbon cycle and hurricanes in the United States between 1900 and 2011","docAbstract":"Hurricanes cause severe impacts on forest ecosystems in the United States. These events can substantially alter the carbon biogeochemical cycle at local to regional scales. We selected all tropical storms and more severe events that made U.S. landfall between 1900 and 2011 and used hurricane best track database, a meteorological model (HURRECON), National Land Cover Database (NLCD), U. S. Department of Agirculture Forest Service biomass dataset, and pre- and post-MODIS data to quantify individual event and annual biomass mortality. Our estimates show an average of 18.2 TgC/yr of live biomass mortality for 1900–2011 in the US with strong spatial and inter-annual variability. Results show Hurricane Camille in 1969 caused the highest aboveground biomass mortality with 59.5 TgC. Similarly 1954 had the highest annual mortality with 68.4 TgC attributed to landfalling hurricanes. The results presented are deemed useful to further investigate historical events, and the methods outlined are potentially beneficial to quantify biomass loss in future events.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Scientific Reports","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Nature Publishing Group","doi":"10.1038/srep05197","usgsCitation":"Dahal, D., Liu, S., and Oeding, J., 2014, The carbon cycle and hurricanes in the United States between 1900 and 2011: Scientific Reports, v. 4, no. 5197, 10 p., https://doi.org/10.1038/srep05197.","productDescription":"10 p.","ipdsId":"IP-054728","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":472953,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/srep05197","text":"Publisher Index Page"},{"id":288150,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":288146,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1038/srep05197"}],"country":"United States","volume":"4","issue":"5197","noUsgsAuthors":false,"publicationDate":"2014-06-06","publicationStatus":"PW","scienceBaseUri":"53ae7863e4b0abf75cf2d3ee","contributors":{"authors":[{"text":"Dahal, Devendra 0000-0001-9594-1249 ddahal@usgs.gov","orcid":"https://orcid.org/0000-0001-9594-1249","contributorId":5622,"corporation":false,"usgs":true,"family":"Dahal","given":"Devendra","email":"ddahal@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":494445,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liu, Shu-Guang sliu@usgs.gov","contributorId":984,"corporation":false,"usgs":true,"family":"Liu","given":"Shu-Guang","email":"sliu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":494443,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Oeding, Jennifer joeding@usgs.gov","contributorId":4070,"corporation":false,"usgs":true,"family":"Oeding","given":"Jennifer","email":"joeding@usgs.gov","affiliations":[],"preferred":true,"id":494444,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70073693,"text":"sir20135235 - 2014 - Occurrence and hydrogeochemistry of radiochemical constituents in groundwater of Jefferson County and surrounding areas, southwestern Montana, 2007 through 2010","interactions":[],"lastModifiedDate":"2014-07-31T16:03:46","indexId":"sir20135235","displayToPublicDate":"2014-06-03T12:35:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5235","title":"Occurrence and hydrogeochemistry of radiochemical constituents in groundwater of Jefferson County and surrounding areas, southwestern Montana, 2007 through 2010","docAbstract":"<p>The U.S. Geological Survey, in cooperation with Jefferson County and the Jefferson Valley Conservation District, sampled groundwater in southwestern Montana to evaluate the occurrence and concentration of naturally-occurring radioactive constituents and to identify geologic settings and environmental conditions in which elevated concentrations occur. A total of 168 samples were collected from 128 wells within Broadwater, Deer Lodge, Jefferson, Lewis and Clark, Madison, Powell, and Silver Bow Counties from 2007 through 2010. Most wells were used for domestic purposes and were primary sources of drinking water for individual households. Water-quality samples were collected from wells completed within six generalized geologic units, and analyzed for constituents including uranium, radon, gross alpha-particle activity, and gross beta-particle activity. Thirty-eight wells with elevated concentrations or activities were sampled a second time to examine variability in water quality throughout time. These water-quality samples were analyzed for an expanded list of radioactive constituents including the following: three isotopes of uranium (uranium-234, uranium-235, and uranium-238), three isotopes of radium (radium-224, radium-226, and radium-228), and polonium-210. Existing U.S. Geological Survey and Montana Bureau of Mines and Geology uranium and radon water-quality data collected as part of other investigations through 2011 from wells within the study area were compiled as part of this investigation. Water-quality data from this study were compared to data collected nationwide by the U.S. Geological Survey through 2011.</p>\n<br>\n<p>Radionuclide samples for this study typically were analyzed within a few days after collection, and therefore data for this study may closely represent the concentrations and activities of water being consumed locally from domestic wells. Radioactive constituents were detected in water from every well sampled during this study regardless of location or geologic unit. Nearly 41 percent of sampled wells had at least one radioactive constituent concentration that exceeded U.S. Environmental Protection Agency drinking-water standards or screening levels. Uranium concentrations were higher than the U.S. Environmental Protection Agency maximum contaminant level (MCL) of 30 micrograms per liter in samples from 14 percent of the wells. Radon concentrations exceeded a proposed MCL of 4,000 picocuries per liter in 27 percent of the wells. Combined radium (radium-226 and radium-228) exceeded the MCL of 5 picocuries per liter in samples from 10 of 47 wells. About 40 percent (42 of 104 wells) of the wells had gross alpha-particle activities (72-hour count) at or greater than a screening level of 15 pCi/L. Gross beta-particle activity exceeded the U.S. Environmental Protection Agency 50 picocuries per liter screening level in samples from 5 of 104 wells. Maximum radium-224 and polonium-210 activities in study wells were 16.1 and 3.08 picocuries per liter, respectively; these isotopes are constituents of human-health concern, but the U.S. Environmental Protection Agency has not established MCLs for them.</p>\n<br>\n<p>Radioactive constituent concentrations or activities exceeded at least one established drinking-water standard, proposed drinking-water standard, or screening level in groundwater samples from five of six generalized geologic units assessed during this study. Radioactive constituent concentrations or activities were variable not only within each geologic unit, but also among wells that were completed in the same geologic unit and in close proximity to one another. Established or proposed drinking-water standards were exceeded most frequently in water from wells completed in the generalized geologic unit that includes rocks of the Boulder batholith and other Tertiary through Cretaceous igneous intrusive rocks (commonly described as granite). Specifically, of the wells completed in the Boulder batholith and related rocks sampled as part of this study, 24 percent exceeded the MCL of 30 micrograms per liter for uranium, 50 percent exceeded the proposed alternative MCL of 4,000 picocuries per liter for radon, and 27 percent exceeded the MCL of 5 micrograms per liter for combined radium-226 and radium-228.</p>\n<br>\n<p>Elevated radioactive constituent values were detected in samples representing a large range of field properties and water types. Correlations between radioactive constituents and pH, dissolved oxygen, and most major ions were not statistically significant (p-value > 0.05) or were weakly correlated with Spearman correlation coefficients (rho) ranging from -0.5 to 0.5. Moderate correlations did exist between gross beta-particle activity and potassium (rho = 0.72 to 0.82), likely because one potassium isotope (potassium-40) is a beta-particle emitter. Total dissolved solids and specific conductance also were moderately correlated (rho = 0.62 to 0.71) with gross alpha-particle and gross beta-particle activity, indicating that higher radioactivity values can be associated with higher total dissolved solids.</p>\n<br>\n<p>Correlations were evaluated among radioactive constituents. Moderate to strong correlations occurred between gross alpha-particle and beta-particle activities (rho = 0.77 to 0.96) and radium isotopes (rho = 0.78 to 0.92). Correlations between gross alpha-particle activity (72-hour count) and all analyzed radioactive constituents were statistically significant (p-value < 0.05), and therefore, gross alpha-particle activity likely may be used as a screening tool for determining the presence of radionuclides in area waters. In this study, gross alpha-particle activities of 7 picocuries per liter or greater were associated with all radioactive constituents whose concentrations exceeded drinking-water standards or screening levels.</p>\n<br>\n<p>Radiochemical results varied temporally in samples from several of the thirty-eight wells sampled at least twice during the study. The time between successive sampling events ranged from about 1 to 10 months for 29 wells to about 3 years for the other 9 wells. Radiochemical constituents that varied by greater than 30 percent between sampling events included uranium (29 percent of the resampled wells), and radon (11 percent of the resampled wells), gross alpha-particle activity (38 percent of the resampled wells), and gross beta-particle activity (15 percent of the resampled wells). Variability in uranium concentrations from two wells was sufficiently large that concentrations were less than the MCL in the first set of samples and greater than the MCL in the second.</p>\n<br>\n<p>Sample holding times affect analytical results in this study. Gross alpha-particle and gross beta-particle activities were measured twice, 72 hours and 30 days after sample collection. Gross alpha-particle activity decreased an average of 37 percent between measurements, indicating the presence of short-lived alpha-emitting radionuclides in these samples. Gross beta-particle activity increased an average of 31 percent between measurements, indicating ingrowth of longer-lived beta-emitting radionuclides.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135235","issn":"2328-0328","collaboration":"Prepared in cooperation with Jefferson County and the Jefferson Valley Conservation District, Montana","usgsCitation":"Caldwell, R.R., Nimick, D.A., and DeVaney, R.M., 2014, Occurrence and hydrogeochemistry of radiochemical constituents in groundwater of Jefferson County and surrounding areas, southwestern Montana, 2007 through 2010: U.S. Geological Survey Scientific Investigations Report 2013-5235, Report: x, 61 p.; Downloads directory, https://doi.org/10.3133/sir20135235.","productDescription":"Report: x, 61 p.; Downloads directory","numberOfPages":"76","onlineOnly":"N","temporalStart":"2007-01-01","temporalEnd":"2010-12-31","ipdsId":"IP-042934","costCenters":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"links":[{"id":287984,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135235.jpg"},{"id":287981,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5235/"},{"id":287982,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5235/pdf/sir2013-5235.pdf"},{"id":287983,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2013/5235/downloads/Appendix%20.xlsx"}],"scale":"100000","projection":"Universal Transverse Mercator projection","datum":"North American Datum of 1927","country":"United States","state":"Montana","county":"Jefferson County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -113.0,45.5 ], [ -113.0,47.0 ], [ -111.5,47.0 ], [ -111.5,45.5 ], [ -113.0,45.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"538ee05be4b0d497d49684d5","contributors":{"authors":[{"text":"Caldwell, Rodney R. 0000-0002-2588-715X caldwell@usgs.gov","orcid":"https://orcid.org/0000-0002-2588-715X","contributorId":2577,"corporation":false,"usgs":true,"family":"Caldwell","given":"Rodney","email":"caldwell@usgs.gov","middleInitial":"R.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":489047,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nimick, David A. dnimick@usgs.gov","contributorId":421,"corporation":false,"usgs":true,"family":"Nimick","given":"David","email":"dnimick@usgs.gov","middleInitial":"A.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true},{"id":573,"text":"Special Applications Science Center","active":true,"usgs":true}],"preferred":true,"id":489046,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeVaney, Rainie M.","contributorId":84668,"corporation":false,"usgs":true,"family":"DeVaney","given":"Rainie","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":489048,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70103906,"text":"sir20145091 - 2014 - Evaluation of seepage and discharge uncertainty in the middle Snake River, southwestern Idaho","interactions":[],"lastModifiedDate":"2014-06-03T11:36:57","indexId":"sir20145091","displayToPublicDate":"2014-06-03T11:31:00","publicationYear":"2014","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":"2014-5091","title":"Evaluation of seepage and discharge uncertainty in the middle Snake River, southwestern Idaho","docAbstract":"<p>The U.S. Geological Survey, in cooperation with the State of Idaho, Idaho Power Company, and the Idaho Department of Water Resources, evaluated seasonal seepage gains and losses in selected reaches of the middle Snake River, Idaho, during November 2012 and July 2013, and uncertainty in measured and computed discharge at four Idaho Power Company streamgages. Results from this investigation will be used by resource managers in developing a protocol to calculate and report Adjusted Average Daily Flow at the Idaho Power Company streamgage on the Snake River below Swan Falls Dam, near Murphy, Idaho, which is the measurement point for distributing water to owners of hydropower and minimum flow water rights in the middle Snake River. The evaluated reaches of the Snake River were from King Hill to Murphy, Idaho, for the seepage studies and downstream of Lower Salmon Falls Dam to Murphy, Idaho, for evaluations of discharge uncertainty.</p>\n<br>\n<p>Computed seepage was greater than cumulative measurement uncertainty for subreaches along the middle Snake River during November 2012, the non-irrigation season, but not during July 2013, the irrigation season. During the November 2012 seepage study, the subreach between King Hill and C J Strike Dam had a meaningful (greater than cumulative measurement uncertainty) seepage gain of 415 cubic feet per second (ft<sup>3</sup>/s), and the subreach between Loveridge Bridge and C J Strike Dam had a meaningful seepage gain of 217 ft<sup>3</sup>/s. The meaningful seepage gain measured in the November 2012 seepage study was expected on the basis of several small seeps and springs present along the subreach, regional groundwater table contour maps, and results of regional groundwater flow model simulations. Computed seepage along the subreach from C J Strike Dam to Murphy was less than cumulative measurement uncertainty during November 2012 and July 2013; therefore, seepage cannot be quantified with certainty along this subreach.</p>\n<br>\n<p>For the uncertainty evaluation, average uncertainty in discharge measurements at the four Idaho Power Company streamgages in the study reach ranged from 4.3 percent (Snake River below Lower Salmon Falls Dam) to 7.8 percent (Snake River below C J Strike Dam) for discharges less than 7,000 ft3/s in water years 2007–11. This range in uncertainty constituted most of the total quantifiable uncertainty in computed discharge, represented by prediction intervals calculated from the discharge rating of each streamgage. Uncertainty in computed discharge in the Snake River below Swan Falls Dam near Murphy was 10.1 and 6.0 percent at the Adjusted Average Daily Flow thresholds of 3,900 and 5,600 ft3/s, respectively. All discharge measurements and records computed at streamgages have some level of uncertainty that cannot be entirely eliminated. Knowledge of uncertainty at the Adjusted Average Daily Flow thresholds is useful for developing a measurement and reporting protocol for purposes of distributing water to hydropower and minimum flow water rights in the middle Snake River.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145091","issn":"2328-0328","collaboration":"Prepared in cooperation with the State of Idaho, Idaho Power Company, and the Idaho Department of Water Resources","usgsCitation":"Wood, M.S., Williams, M.L., Evetts, D.M., and Vidmar, P.J., 2014, Evaluation of seepage and discharge uncertainty in the middle Snake River, southwestern Idaho: U.S. Geological Survey Scientific Investigations Report 2014-5091, v, 34 p., https://doi.org/10.3133/sir20145091.","productDescription":"v, 34 p.","numberOfPages":"44","onlineOnly":"Y","ipdsId":"IP-043282","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":287980,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145091.jpg"},{"id":287979,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5091/pdf/sir20145091.pdf"},{"id":287978,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5091/"}],"projection":"Transverse Mercator projection","datum":"North American Datum of 1983","country":"United States","state":"Idaho","otherGeospatial":"Snake River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -116.5,42.75 ], [ -116.5,43.5 ], [ -115.0,43.5 ], [ -115.0,42.75 ], [ -116.5,42.75 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"538ee057e4b0d497d49684c5","contributors":{"authors":[{"text":"Wood, Molly S. 0000-0002-5184-8306 mswood@usgs.gov","orcid":"https://orcid.org/0000-0002-5184-8306","contributorId":788,"corporation":false,"usgs":true,"family":"Wood","given":"Molly","email":"mswood@usgs.gov","middleInitial":"S.","affiliations":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":493533,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Williams, Marshall L. mlwilliams@usgs.gov","contributorId":1444,"corporation":false,"usgs":true,"family":"Williams","given":"Marshall","email":"mlwilliams@usgs.gov","middleInitial":"L.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":493534,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Evetts, David M. devetts@usgs.gov","contributorId":5097,"corporation":false,"usgs":true,"family":"Evetts","given":"David","email":"devetts@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":493535,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vidmar, Peter J.","contributorId":65008,"corporation":false,"usgs":true,"family":"Vidmar","given":"Peter","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":493536,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70111081,"text":"70111081 - 2014 - Muskie lunacy: does the lunar cycle influence angler catch of muskellunge (<i>Esox masquinongy</i>)?","interactions":[],"lastModifiedDate":"2014-06-04T08:36:13","indexId":"70111081","displayToPublicDate":"2014-06-03T10:32:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Muskie lunacy: does the lunar cycle influence angler catch of muskellunge (<i>Esox masquinongy</i>)?","docAbstract":"We analyzed angling catch records for 341,959 muskellunge (<i>Esox masquinongy</i>) from North America to test for a cyclic lunar influence on the catch. Using periodic regression, we showed that the number caught was strongly related to the 29-day lunar cycle, and the effect was consistent across most fisheries. More muskellunge were caught around the full and new moon than at other times. At night, more muskellunge were caught around the full moon than the new moon. The predicted maximum relative effect was ≈5% overall. Anglers fishing exclusively on the peak lunar day would, on average, catch 5% more muskellunge than anglers fishing on random days. On some lakes and at night, the maximum relative effect was higher. We obtained angler effort data for Wisconsin, Mille Lacs (MN), and Lake Vermilion (MN). For Lake Vermilion there was a significant effect of the lunar cycle on angler effort. We could therefore not conclude that the lunar effect on catch was due to an effect on fish behavior alone. Several factors affected the amount of variation explained by the lunar cycle. The lunar effect was stronger for larger muskellunge (>102 cm) than for smaller fish, stronger in midsummer than in June or October, and stronger for fish caught at high latitudes (>48°N) than for fish caught further south. There was no difference in the lunar effect between expert and novice muskellunge anglers. We argue that this variation is evidence that the effect of the lunar cycle on catch is mediated by biological factors and is not due solely to angler effort and reflects lunar synchronization in feeding. This effect has been attributed to variation among moon phases in lunar illumination, but our results do not support that hypothesis for angler-caught muskellunge.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0098046","usgsCitation":"Vinson, M., and Angradi, T.R., 2014, Muskie lunacy: does the lunar cycle influence angler catch of muskellunge (<i>Esox masquinongy</i>)?: PLoS ONE, v. 9, no. 5, 12 p., https://doi.org/10.1371/journal.pone.0098046.","productDescription":"12 p.","numberOfPages":"12","onlineOnly":"Y","ipdsId":"IP-053959","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":472954,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0098046","text":"Publisher Index Page"},{"id":287977,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":287976,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0098046"}],"country":"Canada;United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -179.6,18.9 ], [ -179.6,71.4 ], [ -66.9,71.4 ], [ -66.9,18.9 ], [ -179.6,18.9 ] ] ] } } ] }","volume":"9","issue":"5","noUsgsAuthors":false,"publicationDate":"2014-05-28","publicationStatus":"PW","scienceBaseUri":"538ee05be4b0d497d49684d1","contributors":{"authors":[{"text":"Vinson, Mark R.","contributorId":91774,"corporation":false,"usgs":true,"family":"Vinson","given":"Mark R.","affiliations":[],"preferred":false,"id":494241,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Angradi, Ted R.","contributorId":107618,"corporation":false,"usgs":true,"family":"Angradi","given":"Ted","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":494242,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70111231,"text":"70111231 - 2014 - Ecological factors affecting Rainbow Smelt recruitment in the main basin of Lake Huron, 1976-2010","interactions":[],"lastModifiedDate":"2014-06-03T08:54:34","indexId":"70111231","displayToPublicDate":"2014-06-03T08:45:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Ecological factors affecting Rainbow Smelt recruitment in the main basin of Lake Huron, 1976-2010","docAbstract":"Rainbow Smelt <i>Osmerus mordax</i> are native to northeastern Atlantic and Pacific–Arctic drainages and have been widely introduced throughout North America. In the Great Lakes region, Rainbow Smelt are known predators and competitors of native fish and a primary prey species in pelagic food webs. Despite their widespread distribution, importance as a prey species, and potential to negatively interact with native fish species, there is limited information concerning stock–recruitment relationships for Rainbow Smelt. To better understand recruitment mechanisms, we evaluated potential ecological factors determining recruitment dynamics for Rainbow Smelt in Lake Huron using data from bottom trawl catches. We specifically evaluated influence of stock size, environmental factors (water temperature, lake levels, and precipitation), and salmonine predation on the production of age-0 recruits from 1976 to 2010. Rainbow Smelt recruitment was negatively related to stock size exceeding 10 kg/ha, indicating that compensatory, density-dependent mortality from cannibalism or intraspecific competition was an important factor related to the production of age-0 recruits. Recruitment was positively related to spring precipitation suggesting that the amount of stream-spawning habitat as determined by precipitation was important for the production of strong Rainbow Smelt recruitment. Additionally, density of age-0 Rainbow Smelt was positively related to Lake Trout <i>Salvelinus namaycush</i> abundance. However, spawning stock biomass of Rainbow Smelt, which declined substantially from 1989 to 2010, was negatively associated with Lake Trout catch per effort suggesting predation was an important factor related to the decline of age-2 and older Rainbow Smelt in Lake Huron. As such, we found that recruitment of Rainbow Smelt in Lake Huron was regulated by competition with or cannibalism by older conspecifics, spring precipitation influencing stream spawning habitats, and predation by Lake Trout on age-2 and older Rainbow Smelt.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Transactions of the American Fisheries Society","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2014.880736","usgsCitation":"O’Brien, T.P., Taylor, W., Roseman, E., Madenjian, C.P., and Riley, S., 2014, Ecological factors affecting Rainbow Smelt recruitment in the main basin of Lake Huron, 1976-2010: Transactions of the American Fisheries Society, v. 143, no. 3, p. 784-795, https://doi.org/10.1080/00028487.2014.880736.","productDescription":"12 p.","startPage":"784","endPage":"795","numberOfPages":"12","ipdsId":"IP-048900","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":287972,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":287971,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/00028487.2014.880736"}],"country":"Canada;United States","otherGeospatial":"Great Lakes;Lake Huron","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -84.8373,42.874 ], [ -84.8373,46.4985 ], [ -80.8572,46.4985 ], [ -80.8572,42.874 ], [ -84.8373,42.874 ] ] ] } } ] }","volume":"143","issue":"3","noUsgsAuthors":false,"publicationDate":"2014-05-02","publicationStatus":"PW","scienceBaseUri":"538ee055e4b0d497d49684c1","contributors":{"authors":[{"text":"O’Brien, Timothy P. 0000-0003-4502-5204 tiobrien@usgs.gov","orcid":"https://orcid.org/0000-0003-4502-5204","contributorId":2662,"corporation":false,"usgs":true,"family":"O’Brien","given":"Timothy","email":"tiobrien@usgs.gov","middleInitial":"P.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":494267,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Taylor, William W.","contributorId":49735,"corporation":false,"usgs":false,"family":"Taylor","given":"William W.","affiliations":[],"preferred":false,"id":494268,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roseman, Edward F.","contributorId":100334,"corporation":false,"usgs":true,"family":"Roseman","given":"Edward F.","affiliations":[],"preferred":false,"id":494270,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Madenjian, Charles P. 0000-0002-0326-164X cmadenjian@usgs.gov","orcid":"https://orcid.org/0000-0002-0326-164X","contributorId":2200,"corporation":false,"usgs":true,"family":"Madenjian","given":"Charles","email":"cmadenjian@usgs.gov","middleInitial":"P.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":494266,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Riley, Stephen C.","contributorId":84183,"corporation":false,"usgs":true,"family":"Riley","given":"Stephen C.","affiliations":[],"preferred":false,"id":494269,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70111094,"text":"70111094 - 2014 - Soil, plant, and terrain effects on natural perchlorate distribution in a desert landscape","interactions":[],"lastModifiedDate":"2018-09-04T16:50:35","indexId":"70111094","displayToPublicDate":"2014-06-02T16:20:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2262,"text":"Journal of Environmental Quality","active":true,"publicationSubtype":{"id":10}},"title":"Soil, plant, and terrain effects on natural perchlorate distribution in a desert landscape","docAbstract":"Perchlorate (ClO<sub>4</sub><sup>−</sup>) is a contaminant that occurs naturally throughout the world, but little is known about its distribution and interactions in terrestrial ecosystems. The objectives of this Amargosa Desert, Nevada study were to determine (i) the local-scale distribution of shallow-soil (0–30 cm) ClO<sub>4</sub><sup>−</sup> with respect to shrub proximity (far and near) in three geomorphic settings (shoulder slope, footslope, and valley floor); (ii) the importance of soil, plant, and terrain variables on the hillslope-distribution of shallow-soil and creosote bush [<i>Larrea tridentata</i> (Sessé & Moc. ex DC.) Coville] ClO<sub>4</sub><sup>−</sup>; and (iii) atmospheric (wet plus dry, including dust) deposition of ClO<sub>4</sub><sup>−</sup> in relation to soil and plant reservoirs and cycling. Soil ClO<sub>4</sub><sup>−</sup> ranged from 0.3 to 5.0 μg kg<sup>−1</sup>. Within settings, valley floor ClO<sub>4</sub><sup>−</sup> was 17× less near shrubs due in part to enhanced leaching, whereas shoulder and footslope values were ∼2× greater near shrubs. Hillslope regression models (soil, R<sup>2</sup> = 0.42; leaf, R<sup>2</sup> = 0.74) identified topographic and soil effects on ClO<sub>4</sub><sup>−</sup> deposition, transport, and cycling. Selective plant uptake, bioaccumulation, and soil enrichment were evidenced by leaf ClO<sub>4</sub><sup>−</sup> concentrations and Cl<sup>−</sup>/ClO<sub>4</sub><sup>−</sup> molar ratios that were ∼8000× greater and 40× less, respectively, than soil values. Atmospheric deposition ClO<sub>4</sub><sup>−</sup> flux was 343 mg ha<sup>−1</sup> yr<sup>−1</sup>, ∼10× that for published southwestern wet-deposition fluxes. Creosote bush canopy ClO<sub>4</sub><sup>−</sup> (1310 mg ha−1) was identified as a previously unrecognized but important and active reservoir. Nitrate δ<sup>18</sup>O analyses of atmospheric deposition and soil supported the leaf-cycled–ClO<sub>4</sub><sup>−</sup> input hypothesis. This study provides basic data on ClO<sub>4</sub><sup>−</sup> distribution and cycling that are pertinent to the assessment of environmental impacts in desert ecosystems and broadly transferable to anthropogenically contaminated systems.","language":"English","publisher":"ASCESS","doi":"10.2134/jeq2013.11.0453","usgsCitation":"Andraski, B.J., Jackson, W., Welborn, T.L., Böhlke, J., Sevanthi, R., and Stonestrom, D.A., 2014, Soil, plant, and terrain effects on natural perchlorate distribution in a desert landscape: Journal of Environmental Quality, v. 43, no. 3, p. 980-994, https://doi.org/10.2134/jeq2013.11.0453.","productDescription":"15 p.","startPage":"980","endPage":"994","ipdsId":"IP-052625","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":472955,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2134/jeq2013.11.0453","text":"Publisher Index Page"},{"id":287969,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -117.1582,35.9936 ], [ -117.1582,37.1034 ], [ -115.9415,37.1034 ], [ -115.9415,35.9936 ], [ -117.1582,35.9936 ] ] ] } } ] }","volume":"43","issue":"3","noUsgsAuthors":false,"publicationDate":"2014-05-01","publicationStatus":"PW","scienceBaseUri":"53ae782ee4b0abf75cf2ccdf","contributors":{"authors":[{"text":"Andraski, Brian J. 0000-0002-2086-0417 andraski@usgs.gov","orcid":"https://orcid.org/0000-0002-2086-0417","contributorId":168800,"corporation":false,"usgs":true,"family":"Andraski","given":"Brian","email":"andraski@usgs.gov","middleInitial":"J.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true},{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":false,"id":494247,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jackson, W.A.","contributorId":15549,"corporation":false,"usgs":true,"family":"Jackson","given":"W.A.","email":"","affiliations":[],"preferred":false,"id":494251,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Welborn, Toby L. 0000-0003-4839-2405 tlwelbor@usgs.gov","orcid":"https://orcid.org/0000-0003-4839-2405","contributorId":2295,"corporation":false,"usgs":true,"family":"Welborn","given":"Toby","email":"tlwelbor@usgs.gov","middleInitial":"L.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":494249,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Böhlke, John Karl 0000-0001-5693-6455","orcid":"https://orcid.org/0000-0001-5693-6455","contributorId":22843,"corporation":false,"usgs":true,"family":"Böhlke","given":"John Karl","affiliations":[],"preferred":false,"id":494252,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sevanthi, Ritesh","contributorId":14301,"corporation":false,"usgs":true,"family":"Sevanthi","given":"Ritesh","affiliations":[],"preferred":false,"id":494250,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stonestrom, David A. 0000-0001-7883-3385 dastones@usgs.gov","orcid":"https://orcid.org/0000-0001-7883-3385","contributorId":2280,"corporation":false,"usgs":true,"family":"Stonestrom","given":"David","email":"dastones@usgs.gov","middleInitial":"A.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":494248,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70111083,"text":"70111083 - 2014 - Burrowing mayfly populations in Chequamegon Bay, Wisconsin: 2002 and 2012","interactions":[],"lastModifiedDate":"2014-06-02T16:14:44","indexId":"70111083","displayToPublicDate":"2014-06-02T16:08:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2299,"text":"Journal of Freshwater Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Burrowing mayfly populations in Chequamegon Bay, Wisconsin: 2002 and 2012","docAbstract":"Burrowing mayflies (Ephemeroptera: Ephemeridae) are sensitive to pollution and have been used as environmental indicators in the Great Lakes. <i>Hexagenia limbata</i> and <i>Ephemera simulans</i> population abundance and biomass estimates from Chequamegon Bay, Lake Superior, were compared between the years 2002 and 2012 as well as inside and outside the Northern States Power Lakefront Superfund site. Mean abundance was similar and mean biomass of Ephemeridae was slightly less in 2012 than in 2002, most likely due to the occurrence of <i>E. simulans</i> in 2012, a smaller species not collected in 2002. In 2012, mean ephemerid abundance and biomass outside the Superfund site was significantly higher than inside the Superfund site. Biomass was higher in clay, clay with sand, and sand with clay substrates than in fine sand, coarse sand, or wood debris substrates. Substrate in the Superfund site was predominantly wood debris. Future monitoring of ephemerid populations in Chequamegon Bay, and particularly in the Superfund site as clean up begins, would be valuable to establish long-term population trends for these two species and potentially shed light on the habitat requirements of <i>E. simulans</i>, an understudied species in the Great Lakes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Freshwater Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","doi":"10.1080/02705060.2014.896294","usgsCitation":"Brunk, K.M., Vinson, M., Ogle, D.H., and Evrard, L.M., 2014, Burrowing mayfly populations in Chequamegon Bay, Wisconsin: 2002 and 2012: Journal of Freshwater Ecology, v. 29, no. 3, p. 337-344, https://doi.org/10.1080/02705060.2014.896294.","productDescription":"8 p.","startPage":"337","endPage":"344","numberOfPages":"8","ipdsId":"IP-053199","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":472956,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/02705060.2014.896294","text":"Publisher Index Page"},{"id":287968,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":287967,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/02705060.2014.896294"}],"country":"United States","otherGeospatial":"Chequamegon Bay;Great Lakes;Lake Superior","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -90.953379,46.519712 ], [ -90.953379,46.740221 ], [ -90.686321,46.740221 ], [ -90.686321,46.519712 ], [ -90.953379,46.519712 ] ] ] } } ] }","volume":"29","issue":"3","noUsgsAuthors":false,"publicationDate":"2014-03-21","publicationStatus":"PW","scienceBaseUri":"53ae764de4b0abf75cf2bf0f","contributors":{"authors":[{"text":"Brunk, Kristin M.","contributorId":61344,"corporation":false,"usgs":true,"family":"Brunk","given":"Kristin","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":494244,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vinson, Mark R.","contributorId":91774,"corporation":false,"usgs":true,"family":"Vinson","given":"Mark R.","affiliations":[],"preferred":false,"id":494246,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ogle, Derek H.","contributorId":73967,"corporation":false,"usgs":true,"family":"Ogle","given":"Derek","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":494245,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Evrard, Lori M. 0000-0001-8582-5818 levrard@usgs.gov","orcid":"https://orcid.org/0000-0001-8582-5818","contributorId":2720,"corporation":false,"usgs":true,"family":"Evrard","given":"Lori","email":"levrard@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":494243,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70110391,"text":"fs20143052 - 2014 - Remote sensing of land surface phenology","interactions":[],"lastModifiedDate":"2018-02-21T10:38:42","indexId":"fs20143052","displayToPublicDate":"2014-06-02T15:07:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-3052","title":"Remote sensing of land surface phenology","docAbstract":"Remote sensing of land-surface phenology is an important method for studying the patterns of plant and animal growth cycles. Phenological events are sensitive to climate variation; therefore phenology data provide important baseline information documenting trends in ecology and detecting the impacts of climate change on multiple scales. The USGS Remote sensing of land surface phenology program produces annually, nine phenology indicator variables at 250 m and 1,000 m resolution for the contiguous U.S. The 12 year archive is available at <a href=\" http://phenology.cr.usgs.gov/index.php\" target=\"_blank\"> http://phenology.cr.usgs.gov/index.php</a>.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143052","usgsCitation":"Meier, G., and Brown, J.F., 2014, Remote sensing of land surface phenology: U.S. Geological Survey Fact Sheet 2014-3052, 2 p., https://doi.org/10.3133/fs20143052.","productDescription":"2 p.","onlineOnly":"Y","ipdsId":"IP-049727","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":287966,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20143052.jpg"},{"id":287965,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2014/3052/pdf/fs2014-3052.pdf"},{"id":287963,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2014/3052/"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.8,24.5 ], [ -124.8,49.383333 ], [ -66.95,49.383333 ], [ -66.95,24.5 ], [ -124.8,24.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53ae7813e4b0abf75cf2c8f3","contributors":{"authors":[{"text":"Meier, G.A.","contributorId":85888,"corporation":false,"usgs":true,"family":"Meier","given":"G.A.","email":"","affiliations":[],"preferred":false,"id":494057,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brown, Jesslyn F. 0000-0002-9976-1998 jfbrown@usgs.gov","orcid":"https://orcid.org/0000-0002-9976-1998","contributorId":3241,"corporation":false,"usgs":true,"family":"Brown","given":"Jesslyn","email":"jfbrown@usgs.gov","middleInitial":"F.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":494056,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70102823,"text":"ofr20141020 - 2014 - Transmissivity and storage coefficient estimates from slug tests, Naval Air Warfare Center, West Trenton, New Jersey","interactions":[],"lastModifiedDate":"2020-05-28T20:11:46.424521","indexId":"ofr20141020","displayToPublicDate":"2014-06-02T10:28:00","publicationYear":"2014","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":"2014-1020","title":"Transmissivity and storage coefficient estimates from slug tests, Naval Air Warfare Center, West Trenton, New Jersey","docAbstract":"Slug tests were conducted on 56 observation wells open to bedrock at the former Naval Air Warfare Center (NAWC) in West Trenton, New Jersey. Aquifer transmissivity (T) and storage coefficient (S) values for most wells were estimated from slug-test data using the Cooper-Bredehoeft-Papadopulos method. Test data from three wells exhibited fast, underdamped water-level responses and were analyzed with the Butler high-K method. The range of T at NAWC was approximately 0.07 to 10,000 square feet per day. At 11 wells, water levels did not change measurably after 20 minutes following slug insertion; transmissivity at these 11 wells was estimated to be less than 0.07 square feet per day. The range of S was approximately 10<sup>-10</sup> to 0.01, the mode being 10<sup>-10</sup>. Water-level responses for tests at three wells fit poorly to the type curves of both methods, indicating that these methods were not appropriate for adequately estimating T and S from those data.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141020","collaboration":"Toxic Substances Hydrology Program. Prepared in cooperation with U.S. Department of the Navy","usgsCitation":"Fiore, A.R., 2014, Transmissivity and storage coefficient estimates from slug tests, Naval Air Warfare Center, West Trenton, New Jersey: U.S. Geological Survey Open-File Report 2014-1020, Report: HTML document; Table 1, https://doi.org/10.3133/ofr20141020.","productDescription":"Report: HTML document; Table 1","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-049724","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":287950,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2014/1020/report/table/table1.xlsx"},{"id":287949,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1020/report/title.html"},{"id":287948,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1020/"},{"id":375134,"rank":4,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2014/1020/images/coverthb.jpg"}],"country":"United States","state":"New Jersey","city":"West Trenton","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -74.819974,40.264976 ], [ -74.819974,40.275041 ], [ -74.804359,40.275041 ], [ -74.804359,40.264976 ], [ -74.819974,40.264976 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53ae787ae4b0abf75cf2d6b7","contributors":{"authors":[{"text":"Fiore, Alex R. 0000-0002-0986-5225 afiore@usgs.gov","orcid":"https://orcid.org/0000-0002-0986-5225","contributorId":4977,"corporation":false,"usgs":true,"family":"Fiore","given":"Alex","email":"afiore@usgs.gov","middleInitial":"R.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":493028,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70110939,"text":"70110939 - 2014 - Fifteen-year patterns of soil carbon and nitrogen following biomass harvesting","interactions":[],"lastModifiedDate":"2014-06-02T09:49:39","indexId":"70110939","displayToPublicDate":"2014-06-02T09:43:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3420,"text":"Soil Science Society of America Journal","active":true,"publicationSubtype":{"id":10}},"title":"Fifteen-year patterns of soil carbon and nitrogen following biomass harvesting","docAbstract":"The substitution of forest-derived woody biofuels for fossil fuel energy has garnered increasing attention in recent years, but information regarding the mid- and long-term effects on soil productivity is limited. We investigated 15-yr temporal trends in forest floor and mineral soil (0–30 cm) C and N pools in response to organic matter removal treatments (OMR; stem-only harvest, SOH; whole-tree harvest, WTH; and whole-tree plus forest floor removal, FFR) at three edaphically distinct aspen (<i>Populus tremuloides</i> Michx. and <i>P. grandidentata</i> Michx.) forests in the Great Lakes region. The OMR and temporal effects were generally site specific, and both were most evident in the forest floor and combined profile (mineral soil and forest floor) compared with the mineral soil alone. Forest floor and combined profile C and N pools were generally similar in the SOH and WTH treatments, suggesting that slash retention has little impact on soil C and N in this time frame. Temporal changes in C and N at one of the three sites were consistent with patterns documented following exotic earthworm invasion, but mineral soil pools at the other two sites were stable over time. Power analyses demonstrated that significant effects were more likely to be detected for temporal differences than the effects of OMR and in the combined profile than in the mineral soil. Our findings are consistent with previous work demonstrating that OMR effects on soil C and N pools are site specific and more apparent in the forest floor than the mineral soil.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Soil Science Society of America Journal","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Soil Science Society of America","publisherLocation":"Madison, WI","doi":"10.2136/sssaj2013.08.0360","usgsCitation":"Kurth, V., D’Amato, A.W., Palik, B.J., and Bradford, J.B., 2014, Fifteen-year patterns of soil carbon and nitrogen following biomass harvesting: Soil Science Society of America Journal, v. 78, no. 2, p. 624-633, https://doi.org/10.2136/sssaj2013.08.0360.","productDescription":"10 p.","startPage":"624","endPage":"633","numberOfPages":"10","ipdsId":"IP-051390","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":287945,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":287944,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2136/sssaj2013.08.0360"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94.6753,44.2915 ], [ -94.6753,47.8472 ], [ -83.2909,47.8472 ], [ -83.2909,44.2915 ], [ -94.6753,44.2915 ] ] ] } } ] }","volume":"78","issue":"2","noUsgsAuthors":false,"publicationDate":"2014-02-07","publicationStatus":"PW","scienceBaseUri":"53ae76c3e4b0abf75cf2bff7","contributors":{"authors":[{"text":"Kurth, Valerie J.","contributorId":7624,"corporation":false,"usgs":true,"family":"Kurth","given":"Valerie J.","affiliations":[],"preferred":false,"id":494207,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"D’Amato, Anthony W.","contributorId":28140,"corporation":false,"usgs":false,"family":"D’Amato","given":"Anthony","email":"","middleInitial":"W.","affiliations":[{"id":13478,"text":"Department of Forest Resources, University of Minnesota, St. Paul, Minnesota (Correspondence to: russellm@umn.edu)","active":true,"usgs":false},{"id":6735,"text":"University of Vermont, Rubenstein School of Environment and Natural Resources","active":true,"usgs":false}],"preferred":false,"id":494208,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Palik, Brian J.","contributorId":78619,"corporation":false,"usgs":true,"family":"Palik","given":"Brian","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":494209,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bradford, John B. 0000-0001-9257-6303 jbradford@usgs.gov","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":611,"corporation":false,"usgs":true,"family":"Bradford","given":"John","email":"jbradford@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":494206,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70110938,"text":"70110938 - 2014 - Ecohydrology of adjacent sagebrush and lodgepole pine ecosystems: the consequences of climate change and disturbance","interactions":[],"lastModifiedDate":"2014-06-02T09:37:06","indexId":"70110938","displayToPublicDate":"2014-06-02T09:31:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1478,"text":"Ecosystems","active":true,"publicationSubtype":{"id":10}},"title":"Ecohydrology of adjacent sagebrush and lodgepole pine ecosystems: the consequences of climate change and disturbance","docAbstract":"Sagebrush steppe and lodgepole pine forests are two of the most widespread vegetation types in the western United States and they play crucial roles in the hydrologic cycle of these water-limited regions. We used a process-based ecosystem water model to characterize the potential impact of climate change and disturbance (wildfire and beetle mortality) on water cycling in adjacent sagebrush and lodgepole pine ecosystems. Despite similar climatic and topographic conditions between these ecosystems at the sites examined, lodgepole pine, and sagebrush exhibited consistent differences in water balance, notably more evaporation and drier summer soils in the sagebrush and greater transpiration and less water yield in lodgepole pine. Canopy disturbances (either fire or beetle) have dramatic impacts on water balance and availability: reducing transpiration while increasing evaporation and water yield. Results suggest that climate change may reduce snowpack, increase evaporation and transpiration, and lengthen the duration of dry soil conditions in the summer, but may have uncertain effects on drainage. Changes in the distribution of sagebrush and lodgepole pine ecosystems as a consequence of climate change and/or altered disturbance regimes will likely alter ecosystem water balance.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecosystems","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s10021-013-9745-1","usgsCitation":"Bradford, J.B., Schlaepfer, D., and Lauenroth, W.K., 2014, Ecohydrology of adjacent sagebrush and lodgepole pine ecosystems: the consequences of climate change and disturbance: Ecosystems, v. 17, no. 4, p. 590-605, https://doi.org/10.1007/s10021-013-9745-1.","productDescription":"16 p.","startPage":"590","endPage":"605","numberOfPages":"16","ipdsId":"IP-038315","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":287941,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":287905,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10021-013-9745-1"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -113.1592,36.8093 ], [ -113.1592,42.033 ], [ -103.9526,42.033 ], [ -103.9526,36.8093 ], [ -113.1592,36.8093 ] ] ] } } ] }","volume":"17","issue":"4","noUsgsAuthors":false,"publicationDate":"2014-01-14","publicationStatus":"PW","scienceBaseUri":"53ae7692e4b0abf75cf2bfa6","contributors":{"authors":[{"text":"Bradford, John B. 0000-0001-9257-6303 jbradford@usgs.gov","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":611,"corporation":false,"usgs":true,"family":"Bradford","given":"John","email":"jbradford@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":494203,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schlaepfer, Daniel R.","contributorId":105189,"corporation":false,"usgs":false,"family":"Schlaepfer","given":"Daniel R.","affiliations":[{"id":7098,"text":"University of Wyoming, Department of Botany, 1000 E. University Avenue, Laramie, WY 82071, USA","active":true,"usgs":false}],"preferred":false,"id":494205,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lauenroth, William K.","contributorId":80982,"corporation":false,"usgs":false,"family":"Lauenroth","given":"William","email":"","middleInitial":"K.","affiliations":[{"id":7098,"text":"University of Wyoming, Department of Botany, 1000 E. University Avenue, Laramie, WY 82071, USA","active":true,"usgs":false}],"preferred":false,"id":494204,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70193838,"text":"70193838 - 2014 - Setting objectives for managing Key deer","interactions":[],"lastModifiedDate":"2017-12-21T10:30:15","indexId":"70193838","displayToPublicDate":"2014-06-02T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5373,"text":"Cooperator Science Series","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"106-2014","title":"Setting objectives for managing Key deer","docAbstract":"<p>The U.S. Fish and Wildlife Service (FWS) is responsible for the protection and management of Key deer (<i>Odocoileus virginianus clavium</i>) because the species is listed as Endangered under the Endangered Species Act (ESA). The purpose of the ESA is to protect and recover imperiled species and the ecosystems upon which they depend. There are a host of actions that could possibly be undertaken to recover the Key deer population, but without a clearly defined problem and stated objectives it can be difficult to compare and evaluate alternative actions. In addition, management goals and the acceptability of alternative management actions are inherently linked to stakeholders, who should be engaged throughout the process of developing a decision framework. The purpose of this project was to engage a representative group of stakeholders to develop a problem statement that captured the management problem the FWS must address with Key deer and identify objectives that, if met, would help solve the problem. In addition, the objectives were organized in a hierarchical manner (i.e., an objectives network) to show how they are linked, and measurable attributes were identified for each objective. We organized a group of people who represented stakeholders interested in and potentially affected by the management of Key deer. These stakeholders included individuals who represented local, state, and federal governments, non-governmental organizations, the general public, and local businesses. This stakeholder group met five full days over the course of an eight-week period to identify objectives that would address the following problem:</p><p data-mce-style=\"padding-left: 30px;\">“As recovery and removal from the Endangered Species list is the purpose of the Endangered Species Act, the U.S. Fish and Wildlife Service needs a management approach that will ensure a sustainable, viable, and healthy Key deer population. Urbanization has affected the behavior and population dynamics of the Key deer and the amount and characteristics of available habitat. The identified management approach must balance relevant social and economic concerns, Federal (e.g., Endangered Species Act, Wilderness Act, Refuge Act) and state regulations, and the conservation of biodiversity (e.g., Endangered/Threatened species, native habitat) in the Lower Keys.”</p><p>The stakeholder group identified four fundamental objectives that are essential to addressing the problem: 1) Maximize a sustainable, viable, and healthy Key deer population, 2) Maximize value of Key deer to the People, 3) Minimize deer-related negative impacts to biodiversity, and 4) Minimize costs. In addition, the group identified 25 additional objectives that, if met, would help meet the fundamental objectives. The objectives network and measurable attributes identified by the stakeholder group can be used in the future to develop and evaluate potential management alternatives.</p>","language":"English","publisher":"U.S. Fish and Wildlife Service","usgsCitation":"Diefenbach, D.R., Wagner, T., and Stauffer, G.E., 2014, Setting objectives for managing Key deer: Cooperator Science Series 106-2014, v, 45 p.","productDescription":"v, 45 p.","ipdsId":"IP-056272","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":350135,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":350133,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://digitalmedia.fws.gov/utils/getdownloaditem/collection/document/id/2053/filename/2054.pdf/mapsto/pdf/type/singleitem","text":"Report","size":"473 kB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a61008de4b06e28e9c253ea","contributors":{"authors":[{"text":"Diefenbach, Duane R. 0000-0001-5111-1147 drd11@usgs.gov","orcid":"https://orcid.org/0000-0001-5111-1147","contributorId":5235,"corporation":false,"usgs":true,"family":"Diefenbach","given":"Duane","email":"drd11@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":720632,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wagner, Tyler 0000-0003-1726-016X twagner@usgs.gov","orcid":"https://orcid.org/0000-0003-1726-016X","contributorId":1050,"corporation":false,"usgs":true,"family":"Wagner","given":"Tyler","email":"twagner@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":725267,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stauffer, Glenn E.","contributorId":171536,"corporation":false,"usgs":false,"family":"Stauffer","given":"Glenn","email":"","middleInitial":"E.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":725268,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70104569,"text":"70104569 - 2014 - Spatial variability and landscape controls of near-surface permafrost within the Alaskan Yukon River Basin","interactions":[],"lastModifiedDate":"2018-01-12T17:20:31","indexId":"70104569","displayToPublicDate":"2014-06-01T15:39:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2320,"text":"Journal of Geophysical Research: Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Spatial variability and landscape controls of near-surface permafrost within the Alaskan Yukon River Basin","docAbstract":"<p>The distribution of permafrost is important to understand because of permafrost's influence on high-latitude ecosystem structure and functions. Moreover, near-surface (defined here as within 1&thinsp;m of the Earth's surface) permafrost is particularly susceptible to a warming climate and is generally poorly mapped at regional scales. Subsequently, our objectives were to (1) develop the first-known binary and probabilistic maps of near-surface permafrost distributions at a 30 m resolution in the Alaskan Yukon River Basin by employing decision tree models, field measurements, and remotely sensed and mapped biophysical data; (2) evaluate the relative contribution of 39 biophysical variables used in the models; and (3) assess the landscape-scale factors controlling spatial variations in permafrost extent. Areas estimated to be present and absent of near-surface permafrost occupy approximately 46% and 45% of the Alaskan Yukon River Basin, respectively; masked areas (e.g., water and developed) account for the remaining 9% of the landscape. Strong predictors of near-surface permafrost include climatic indices, land cover, topography, and Landsat 7 Enhanced Thematic Mapper Plus spectral information. Our quantitative modeling approach enabled us to generate regional near-surface permafrost maps and provide essential information for resource managers and modelers to better understand near-surface permafrost distribution and how it relates to environmental factors and conditions.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research: Biogeosciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/2013JG002594","usgsCitation":"Pastick, N.J., Jorgenson, M., Wylie, B.K., Rose, J.R., Rigge, M., and Walvoord, M.A., 2014, Spatial variability and landscape controls of near-surface permafrost within the Alaskan Yukon River Basin: Journal of Geophysical Research: Biogeosciences, v. 119, no. 6, p. 1244-1265, https://doi.org/10.1002/2013JG002594.","productDescription":"22 p.","startPage":"1244","endPage":"1265","numberOfPages":"22","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056842","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":472957,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2013jg002594","text":"Publisher Index Page"},{"id":294946,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294945,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/2013JG002594"}],"country":"United States","state":"Alaska","otherGeospatial":"Alaskan Yukon River Basin","volume":"119","issue":"6","noUsgsAuthors":false,"publicationDate":"2014-06-30","publicationStatus":"PW","scienceBaseUri":"542fbaaee4b092f17df61dfa","contributors":{"authors":[{"text":"Pastick, Neal J. 0000-0002-8169-3018 njpastick@usgs.gov","orcid":"https://orcid.org/0000-0002-8169-3018","contributorId":4785,"corporation":false,"usgs":true,"family":"Pastick","given":"Neal","email":"njpastick@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":493735,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jorgenson, M. Torre","contributorId":34848,"corporation":false,"usgs":true,"family":"Jorgenson","given":"M. Torre","affiliations":[],"preferred":false,"id":493738,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wylie, Bruce K. 0000-0002-7374-1083 wylie@usgs.gov","orcid":"https://orcid.org/0000-0002-7374-1083","contributorId":750,"corporation":false,"usgs":true,"family":"Wylie","given":"Bruce","email":"wylie@usgs.gov","middleInitial":"K.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":493734,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rose, Joshua R.","contributorId":12395,"corporation":false,"usgs":true,"family":"Rose","given":"Joshua","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":493736,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rigge, Matthew 0000-0003-4471-8009","orcid":"https://orcid.org/0000-0003-4471-8009","contributorId":18295,"corporation":false,"usgs":true,"family":"Rigge","given":"Matthew","affiliations":[],"preferred":false,"id":493737,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Walvoord, Michelle Ann 0000-0003-4269-8366 walvoord@usgs.gov","orcid":"https://orcid.org/0000-0003-4269-8366","contributorId":147211,"corporation":false,"usgs":true,"family":"Walvoord","given":"Michelle","email":"walvoord@usgs.gov","middleInitial":"Ann","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":493739,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70103152,"text":"70103152 - 2014 - Estimating sample size for landscape-scale mark-recapture studies of North American migratory tree bats","interactions":[],"lastModifiedDate":"2014-10-01T15:17:53","indexId":"70103152","displayToPublicDate":"2014-06-01T15:13:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":629,"text":"Acta Chiropterologica","active":true,"publicationSubtype":{"id":10}},"title":"Estimating sample size for landscape-scale mark-recapture studies of North American migratory tree bats","docAbstract":"Concern for migratory tree-roosting bats in North America has grown because of possible population declines from wind energy development. This concern has driven interest in estimating population-level changes. Mark-recapture methodology is one possible analytical framework for assessing bat population changes, but sample size requirements to produce reliable estimates have not been estimated. To illustrate the sample sizes necessary for a mark-recapture-based monitoring program we conducted power analyses using a statistical model that allows reencounters of live and dead marked individuals. We ran 1,000 simulations for each of five broad sample size categories in a Burnham joint model, and then compared the proportion of simulations in which 95% confidence intervals overlapped between and among years for a 4-year study. Additionally, we conducted sensitivity analyses of sample size to various capture probabilities and recovery probabilities. More than 50,000 individuals per year would need to be captured and released to accurately determine 10% and 15% declines in annual survival. To detect more dramatic declines of 33% or 50% survival over four years, then sample sizes of 25,000 or 10,000 per year, respectively, would be sufficient. Sensitivity analyses reveal that increasing recovery of dead marked individuals may be more valuable than increasing capture probability of marked individuals. Because of the extraordinary effort that would be required, we advise caution should such a mark-recapture effort be initiated because of the difficulty in attaining reliable estimates. We make recommendations for what techniques show the most promise for mark-recapture studies of bats because some techniques violate the assumptions of mark-recapture methodology when used to mark bats.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Acta Chiropterologica","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Museum and Institute of Zoology, Polish Academy of Sciences","doi":"10.3161/150811014X683426","usgsCitation":"Ellison, L.E., and Lukacs, P., 2014, Estimating sample size for landscape-scale mark-recapture studies of North American migratory tree bats: Acta Chiropterologica, v. 16, no. 1, p. 231-239, https://doi.org/10.3161/150811014X683426.","productDescription":"9 p.","startPage":"231","endPage":"239","ipdsId":"IP-056218","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":294737,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294736,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3161/150811014X683426"}],"otherGeospatial":"North America","volume":"16","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"542d179ae4b092f17defc5a7","contributors":{"authors":[{"text":"Ellison, Laura E. ellisonl@usgs.gov","contributorId":3220,"corporation":false,"usgs":true,"family":"Ellison","given":"Laura","email":"ellisonl@usgs.gov","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":493164,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lukacs, Paul M.","contributorId":43285,"corporation":false,"usgs":true,"family":"Lukacs","given":"Paul M.","affiliations":[],"preferred":false,"id":493165,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70110809,"text":"70110809 - 2014 - Survey of helminths, ectoparasites, and chytrid fungus of an introduced population of cane toads, <i>Rhinella marina</i> (Anura: Bufonidae), from Grenada","interactions":[],"lastModifiedDate":"2018-01-23T15:50:40","indexId":"70110809","displayToPublicDate":"2014-06-01T14:57:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2414,"text":"Journal of Parasitology","active":true,"publicationSubtype":{"id":10}},"title":"Survey of helminths, ectoparasites, and chytrid fungus of an introduced population of cane toads, <i>Rhinella marina</i> (Anura: Bufonidae), from Grenada","docAbstract":"<p><span>One hundred specimens of </span><i><i>Rhinella marina</i></i><span>, (Anura: Bufonidae) collected in St. George's parish, Grenada, from September 2010 to August 2011, were examined for the presence of ectoparasites and helminths. Ninety-five (95%) were parasitized by 1 or more parasite species. Nine species of parasites were found: 1 digenean, 2 acanthocephalans, 4 nematodes, 1 arthropod and 1 pentastome. The endoparasites represented 98.9% of the total number of parasite specimens collected. Grenada represents a new locality record for </span><i>Mesocoelium monas, Raillietiella frenatus</i><span>, </span><i><i>Pseudoacanthacephalus</i></i><span> sp., </span><i><i>Aplectana</i></i><span> sp., </span><i><i>Physocephalus</i></i><span> sp., Acanthacephala cystacanth, and Physalopteridae larvae. The digenean </span><i>M. monas</i><span> occurred with the highest prevalence of 82%, contrasting many studies of </span><i><i>R. marina</i></i><span> where nematodes dominate the parasite infracommunity. Female toads were found to have a significantly higher prevalence of </span><i>Amblyomma dissimile</i><span> than male toads. Only 2 parasites exhibited a significant difference between wet and dry season with </span><i>Parapharyngodon grenadensis</i><span> prevalence highest in the wet season and </span><i>A. dissimile</i><span> prevalence highest during the dry season. Additionally, </span><i>A. dissimile</i><span>was significantly more abundant during the dry season.</span></p>","language":"English","publisher":"American Society of Parasitologists","doi":"10.1645/13-470.1","usgsCitation":"Drake, M.C., Zieger, U., Groszkowski, A., Gallardo, B., Sages, P., Reavis, R., Faircloth, L., Jacobson, K., Lonce, N., Pinckney, R.D., and Cole, R.A., 2014, Survey of helminths, ectoparasites, and chytrid fungus of an introduced population of cane toads, <i>Rhinella marina</i> (Anura: Bufonidae), from Grenada: Journal of Parasitology, v. 100, no. 5, p. 608-615, https://doi.org/10.1645/13-470.1.","productDescription":"8 p.","startPage":"608","endPage":"615","ipdsId":"IP-052775","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":294933,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294932,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1645/13-470.1"}],"country":"Grenada","volume":"100","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"542fbab0e4b092f17df61e1e","contributors":{"authors":[{"text":"Drake, Michael C.","contributorId":19501,"corporation":false,"usgs":true,"family":"Drake","given":"Michael","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":494144,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zieger, Ulrike","contributorId":89823,"corporation":false,"usgs":true,"family":"Zieger","given":"Ulrike","email":"","affiliations":[],"preferred":false,"id":494150,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Groszkowski, Andrew","contributorId":100308,"corporation":false,"usgs":true,"family":"Groszkowski","given":"Andrew","email":"","affiliations":[],"preferred":false,"id":494152,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gallardo, Bruce","contributorId":69080,"corporation":false,"usgs":true,"family":"Gallardo","given":"Bruce","email":"","affiliations":[],"preferred":false,"id":494149,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sages, Patti","contributorId":9592,"corporation":false,"usgs":true,"family":"Sages","given":"Patti","email":"","affiliations":[],"preferred":false,"id":494142,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Reavis, Roslyn","contributorId":10737,"corporation":false,"usgs":true,"family":"Reavis","given":"Roslyn","email":"","affiliations":[],"preferred":false,"id":494143,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Faircloth, Leslie","contributorId":53317,"corporation":false,"usgs":true,"family":"Faircloth","given":"Leslie","email":"","affiliations":[],"preferred":false,"id":494147,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jacobson, Krystin","contributorId":40538,"corporation":false,"usgs":true,"family":"Jacobson","given":"Krystin","email":"","affiliations":[],"preferred":false,"id":494146,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lonce, Nicholas","contributorId":54527,"corporation":false,"usgs":true,"family":"Lonce","given":"Nicholas","email":"","affiliations":[],"preferred":false,"id":494148,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Pinckney, Rhonda D.","contributorId":32853,"corporation":false,"usgs":true,"family":"Pinckney","given":"Rhonda","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":494145,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Cole, Rebecca A. 0000-0003-2923-1622 rcole@usgs.gov","orcid":"https://orcid.org/0000-0003-2923-1622","contributorId":2873,"corporation":false,"usgs":true,"family":"Cole","given":"Rebecca","email":"rcole@usgs.gov","middleInitial":"A.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":494151,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70127906,"text":"70127906 - 2014 - An analysis of the global spatial variability of column-averaged CO<sub>2</sub> from SCIAMACHY and its implications for CO<sub>2</sub> sources and sinks","interactions":[],"lastModifiedDate":"2014-10-02T14:24:01","indexId":"70127906","displayToPublicDate":"2014-06-01T14:18:26","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2068,"text":"International Journal of Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"An analysis of the global spatial variability of column-averaged CO<sub>2</sub> from SCIAMACHY and its implications for CO<sub>2</sub> sources and sinks","docAbstract":"Satellite observations of carbon dioxide (CO<sub>2</sub>) are important because of their potential for improving the scientific understanding of global carbon cycle processes and budgets. We present an analysis of the column-averaged dry air mole fractions of CO<sub>2</sub> (denoted XCO<sub>2</sub>) of the Scanning Imaging Absorption Spectrometer for Atmospheric Cartography (SCIAMACHY) retrievals, which were derived from a satellite instrument with relatively long-term records (2003–2009) and with measurements sensitive to the near surface. The spatial-temporal distributions of remotely sensed XCO<sub>2</sub> have significant spatial heterogeneity with about 6–8% variations (367–397 ppm) during 2003–2009, challenging the traditional view that the spatial heterogeneity of atmospheric CO<sub>2</sub> is not significant enough (<4%) to have any large effect on terrestrial ecosystem carbon cycles. By comparison with surface measurements from the NOAA Earth System Research Laboratory (ESRL) GLOBALVIEW network, significant statistical relationships between XCO<sub>2</sub> and surface CO<sub>2</sub> were found for major ecosystems, with the exception of tropical forest. In addition, when compared with a simulated terrestrial carbon uptake from the Integrated Biosphere Simulator (IBIS) and the Emissions Database for Global Atmospheric Research (EDGAR) carbon emission inventory, the latitudinal gradient of XCO<sub>2</sub> seasonal amplitude was influenced by the combined effect of terrestrial carbon uptake, carbon emission, and atmospheric transport, suggesting no direct implications for terrestrial carbon sinks. From the investigation of the growth rate of XCO<sub>2</sub> we found that the increase of CO<sub>2</sub> concentration was dominated by temperature in the northern hemisphere (20–90°N) and by precipitation in the southern hemisphere (20–90°S), with the major contribution to global average occurring in the northern hemisphere. These findings indicated that the satellite measurements of atmospheric CO<sub>2</sub> improve not only the estimations of atmospheric inversion, but also the understanding of the terrestrial ecosystem carbon dynamics and its feedback to atmospheric CO<sub>2</sub>.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"International Journal of Remote Sensing","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","doi":"10.1080/01431161.2014.885151","usgsCitation":"Zhang, Z., Jiang, H., Liu, J., Zhang, X., Huang, C., Lu, X., Jin, J., and Zhou, G., 2014, An analysis of the global spatial variability of column-averaged CO<sub>2</sub> from SCIAMACHY and its implications for CO<sub>2</sub> sources and sinks: International Journal of Remote Sensing, v. 35, no. 6, p. 2047-2066, https://doi.org/10.1080/01431161.2014.885151.","productDescription":"20 p.","startPage":"2047","endPage":"2066","numberOfPages":"20","ipdsId":"IP-060185","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":294871,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294815,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/01431161.2014.885151"}],"volume":"35","issue":"6","noUsgsAuthors":false,"publicationDate":"2014-03-04","publicationStatus":"PW","scienceBaseUri":"542e691fe4b092f17df5a70f","contributors":{"authors":[{"text":"Zhang, Zhen","contributorId":88286,"corporation":false,"usgs":true,"family":"Zhang","given":"Zhen","affiliations":[],"preferred":false,"id":502659,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jiang, Hong","contributorId":108417,"corporation":false,"usgs":true,"family":"Jiang","given":"Hong","affiliations":[],"preferred":false,"id":502661,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Liu, Jinxun 0000-0003-0561-8988 jxliu@usgs.gov","orcid":"https://orcid.org/0000-0003-0561-8988","contributorId":3414,"corporation":false,"usgs":true,"family":"Liu","given":"Jinxun","email":"jxliu@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":502654,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zhang, Xiuying","contributorId":63739,"corporation":false,"usgs":true,"family":"Zhang","given":"Xiuying","affiliations":[],"preferred":false,"id":502656,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Huang, Chunlin","contributorId":85897,"corporation":false,"usgs":true,"family":"Huang","given":"Chunlin","email":"","affiliations":[],"preferred":false,"id":502658,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lu, Xuehe","contributorId":73517,"corporation":false,"usgs":true,"family":"Lu","given":"Xuehe","affiliations":[],"preferred":false,"id":502657,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jin, Jiaxin","contributorId":13561,"corporation":false,"usgs":true,"family":"Jin","given":"Jiaxin","affiliations":[],"preferred":false,"id":502655,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Zhou, Guomo","contributorId":97022,"corporation":false,"usgs":true,"family":"Zhou","given":"Guomo","email":"","affiliations":[],"preferred":false,"id":502660,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70119245,"text":"70119245 - 2014 - Isotopically modified silver nanoparticles to assess nanosilver bioavailability and toxicity at environmentally relevant exposures","interactions":[],"lastModifiedDate":"2018-09-18T16:41:14","indexId":"70119245","displayToPublicDate":"2014-06-01T14:13:27","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1529,"text":"Environmental Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Isotopically modified silver nanoparticles to assess nanosilver bioavailability and toxicity at environmentally relevant exposures","docAbstract":"A major challenge in understanding the environmental implications of nanotechnology lies in studying nanoparticle uptake in organisms at environmentally realistic exposure concentrations. Typically, high exposure concentrations are needed to trigger measurable effects and to detect accumulation above background. But application of tracer techniques can overcome these limitations. Here we synthesised, for the first time, citrate-coated Ag nanoparticles using Ag that was 99.7 % <sup>109</sup>Ag. In addition to conducting reactivity and dissolution studies, we assessed the bioavailability and toxicity of these isotopically modified Ag nanoparticles (<sup>109</sup>Ag NPs) to a freshwater snail under conditions typical of nature. We showed that accumulation of <sup>109</sup>Ag from <sup>109</sup>Ag NPs is detectable in the tissues of <i>Lymnaea stagnalis</i> after 24-h exposure to aqueous concentrations as low as 6 ng L<sup>–1</sup> as well as after 3 h of dietary exposure to concentrations as low as 0.07 μg g<sup>–1</sup>. Silver uptake from unlabelled Ag NPs would not have been detected under similar exposure conditions. Uptake rates of <sup>109</sup>Ag from <sup>109</sup>Ag NPs mixed with food or dispersed in water were largely linear over a wide range of concentrations. Particle dissolution was most important at low waterborne concentrations. We estimated that 70 % of the bioaccumulated <sup>109</sup>Ag concentration in <i>L. stagnalis</i> at exposures <0.1 µg L<sup>–1</sup> originated from the newly solubilised Ag. Above this concentration, we predicted that 80 % of the bioaccumulated <sup>109</sup>Ag concentration originated from the <sup>109</sup>Ag NPs. It was not clear if agglomeration had a major influence on uptake rates.","language":"English","publisher":"CSIRO Publishing","publisherLocation":"Collingwood, Australia","doi":"10.1071/EN13141","usgsCitation":"Croteau, M., Dybowska, A.D., Luoma, S.N., Misra, S.K., and Valsami-Jones, E., 2014, Isotopically modified silver nanoparticles to assess nanosilver bioavailability and toxicity at environmentally relevant exposures: Environmental Chemistry, v. 11, no. 3, p. 247-256, https://doi.org/10.1071/EN13141.","productDescription":"10 p.","startPage":"247","endPage":"256","numberOfPages":"10","ipdsId":"IP-052049","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":472958,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1071/en13141","text":"Publisher Index Page"},{"id":291719,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1071/EN13141"},{"id":291720,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53e1efcfe4b0fe532be2de39","contributors":{"authors":[{"text":"Croteau, Marie-Noële","contributorId":22863,"corporation":false,"usgs":true,"family":"Croteau","given":"Marie-Noële","affiliations":[],"preferred":false,"id":497617,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dybowska, Agnieszka D.","contributorId":101201,"corporation":false,"usgs":true,"family":"Dybowska","given":"Agnieszka","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":497620,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Luoma, Samuel N. 0000-0001-5443-5091 snluoma@usgs.gov","orcid":"https://orcid.org/0000-0001-5443-5091","contributorId":2287,"corporation":false,"usgs":true,"family":"Luoma","given":"Samuel","email":"snluoma@usgs.gov","middleInitial":"N.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":497616,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Misra, Superb K.","contributorId":91231,"corporation":false,"usgs":true,"family":"Misra","given":"Superb","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":497619,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Valsami-Jones, Eugenia","contributorId":26057,"corporation":false,"usgs":true,"family":"Valsami-Jones","given":"Eugenia","email":"","affiliations":[],"preferred":false,"id":497618,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70124277,"text":"70124277 - 2014 - Mapping irrigated areas in Afghanistan over the past decade using MODIS NDVI","interactions":[],"lastModifiedDate":"2014-09-11T13:56:39","indexId":"70124277","displayToPublicDate":"2014-06-01T13:46:29","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Mapping irrigated areas in Afghanistan over the past decade using MODIS NDVI","docAbstract":"Agricultural production capacity contributes to food security in Afghanistan and is largely dependent on irrigated farming, mostly utilizing surface water fed by snowmelt. Because of the high contribution of irrigated crops (> 80%) to total agricultural production, knowing the spatial distribution and year-to-year variability in irrigated areas is imperative to monitoring food security for the country. We used 16-day composites of the Normalized Difference Vegetation Index (NDVI) from the Moderate Resolution Imaging Spectroradiometer (MODIS) sensor to create 23-point time series for each year from 2000 through 2013. Seasonal peak values and time series were used in a threshold-dependent decision tree algorithm to map irrigated areas in Afghanistan for the last 14 years. In the absence of ground reference irrigated area information, we evaluated these maps with the irrigated areas classified from multiple snapshots of the landscape during the growing season from Landsat 5 optical and thermal sensor images. We were able to identify irrigated areas using Landsat imagery by selecting as irrigated those areas with Landsat-derived NDVI greater than 0.30–0.45, depending on the date of the Landsat image and surface temperature less than or equal to 310 Kelvin (36.9 ° C). Due to the availability of Landsat images, we were able to compare with the MODIS-derived maps for four years: 2000, 2009, 2010, and 2011. The irrigated areas derived from Landsat agreed well r<sup>2</sup> = 0.91 with the irrigated areas derived from MODIS, providing confidence in the MODIS NDVI threshold approach. The maps portrayed a highly dynamic irrigated agriculture practice in Afghanistan, where the amount of irrigated area was largely determined by the availability of surface water, especially snowmelt, and varied by as much as 30% between water surplus and water deficit years. During the past 14 years, 2001, 2004, and 2008 showed the lowest levels of irrigated area (~ 1.5 million hectares), attesting to the severe drought conditions in those years, whereas 2009, 2012 and 2013 registered the largest irrigated area (~ 2.5 million hectares) due to record snowpack and snowmelt in the region. The model holds promise the ability to provide near-real-time (by the end of the growing seasons) estimates of irrigated area, which are beneficial for food security monitoring as well as subsequent decision making for the country. While the model is developed for Afghanistan, it can be adopted with appropriate adjustments in the derived threshold values to map irrigated areas elsewhere.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Remote Sensing of Environment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2014.04.008","usgsCitation":"Pervez, M., Budde, M., and Rowland, J., 2014, Mapping irrigated areas in Afghanistan over the past decade using MODIS NDVI: Remote Sensing of Environment, v. 149, p. 155-165, https://doi.org/10.1016/j.rse.2014.04.008.","productDescription":"11 p.","startPage":"155","endPage":"165","numberOfPages":"11","ipdsId":"IP-049479","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":293759,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":293755,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.rse.2014.04.008"}],"country":"Afghanistan","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 60.52,29.38 ], [ 60.52,38.49 ], [ 74.89,38.49 ], [ 74.89,29.38 ], [ 60.52,29.38 ] ] ] } } ] }","volume":"149","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5412b9b1e4b0239f1986baa5","contributors":{"authors":[{"text":"Pervez, Md Shahriar 0000-0003-3417-1871 shahriar.pervez.ctr@usgs.gov","orcid":"https://orcid.org/0000-0003-3417-1871","contributorId":74230,"corporation":false,"usgs":true,"family":"Pervez","given":"Md Shahriar","email":"shahriar.pervez.ctr@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":false,"id":500640,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Budde, Michael 0000-0002-9098-2751","orcid":"https://orcid.org/0000-0002-9098-2751","contributorId":36867,"corporation":false,"usgs":true,"family":"Budde","given":"Michael","affiliations":[],"preferred":false,"id":500639,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rowland, James 0000-0003-4837-3511 rowland@usgs.gov","orcid":"https://orcid.org/0000-0003-4837-3511","contributorId":3108,"corporation":false,"usgs":true,"family":"Rowland","given":"James","email":"rowland@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":500638,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70160698,"text":"70160698 - 2014 - Examination of the influence of juvenile Atlantic salmon on the feeding mode of juvenile steelhead in Lake Ontario tributaries","interactions":[],"lastModifiedDate":"2015-12-30T12:29:43","indexId":"70160698","displayToPublicDate":"2014-06-01T13:30:00","publicationYear":"2014","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":"Examination of the influence of juvenile Atlantic salmon on the feeding mode of juvenile steelhead in Lake Ontario tributaries","docAbstract":"<p>We examined diets of 1204 allopatric and sympatric juvenile Atlantic salmon (<i>Salmo salar</i>) and steelhead (<i>Oncorhynchus mykiss</i>) in three tributaries of Lake Ontario. The diet composition of both species consisted primarily of ephemeropterans, trichopterans, and chironomids, although juvenile steelhead consumed more terrestrial invertebrates, especially at the sympatric sites. Subyearlings of both species consumed small prey (i.e. chironomids) whereas large prey (i.e. perlids) made up a higher percentage of the diet of yearlings. The diet of juvenile steelhead at the allopatric sites was more closely associated with the composition of the benthos than with the drift, but was about equally associated with the benthos and drift at the sympatric sites. The diet of both subyearling and yearling Atlantic salmon was more closely associated with the benthos than the drift at the sympatric sites. The evidence suggests that juvenile steelhead may subtly alter their feeding behavior in sympatry with Atlantic salmon. This behavioral adaptation may reduce competitive interactions between these species.</p>","language":"English","publisher":"International Association for Great Lakes Research","publisherLocation":"Toronto","doi":"10.1016/j.jglr.2014.03.005","usgsCitation":"Johnson, J.H., and Waldt, E.M., 2014, Examination of the influence of juvenile Atlantic salmon on the feeding mode of juvenile steelhead in Lake Ontario tributaries: Journal of Great Lakes Research, v. 40, no. 2, p. 370-376, https://doi.org/10.1016/j.jglr.2014.03.005.","productDescription":"7 p.","startPage":"370","endPage":"376","numberOfPages":"7","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051104","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":313052,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Little Sandy Creek, Orwell Brook, Trout Brook","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -76.25747680664062,\n              43.489295765452496\n            ],\n            [\n              -76.25747680664062,\n              43.74728909225906\n            ],\n            [\n              -75.816650390625,\n              43.74728909225906\n            ],\n            [\n              -75.816650390625,\n              43.489295765452496\n            ],\n            [\n              -76.25747680664062,\n              43.489295765452496\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"40","issue":"2","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56850e91e4b0a04ef4933902","contributors":{"authors":[{"text":"Johnson, James H. 0000-0002-5619-3871 jhjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-5619-3871","contributorId":389,"corporation":false,"usgs":true,"family":"Johnson","given":"James","email":"jhjohnson@usgs.gov","middleInitial":"H.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":583604,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Waldt, Emily M. ewaldt@usgs.gov","contributorId":4358,"corporation":false,"usgs":true,"family":"Waldt","given":"Emily","email":"ewaldt@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":583605,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70122214,"text":"70122214 - 2014 - Channel catfish (Ictalurus punctatus) leukocytes express estrogen receptor isoforms ERα and ERβ2 and are functionally modulated by estrogens","interactions":[],"lastModifiedDate":"2018-09-18T16:19:28","indexId":"70122214","displayToPublicDate":"2014-06-01T12:19:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1644,"text":"Fish & Shellfish Immunology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Channel catfish (<i>Ictalurus punctatus</i>) leukocytes express estrogen receptor isoforms ERα and ERβ2 and are functionally modulated by estrogens","title":"Channel catfish (Ictalurus punctatus) leukocytes express estrogen receptor isoforms ERα and ERβ2 and are functionally modulated by estrogens","docAbstract":"<p>Estrogens are recognized as modulators of immune responses in mammals and teleosts. While it is known that the effects of estrogens are mediated via leukocyte-specific estrogen receptors (ERs) in humans and mice, leucocyte-specific estrogen receptor expression and the effects of estrogens on this cell population is less explored and poorly understood in teleosts. Here in, we verify that channel catfish (<i>Ictalurus punctaus</i>) leukocytes express ERα and ERβ2. Transcripts of these isoforms were detected in tissue-associated leukocyte populations by PCR, but ERβ2 was rarely detected in PBLs. Expression of these receptors was temporally regulated in PBLs following polyclonal activation by concanavalin A, lipopolysaccharide or alloantigen based on evaluation by quantitative and end-point PCR. Examination of long-term leukocyte cell lines demonstrated that these receptors are differentially expressed depending on leukocyte lineage and phenotype. Expression of ERs was also temporally dynamic in some leukocyte lineages and may reflect stage of cell maturity. Estrogens affect the responsiveness of channel catfish peripheral blood leukocytes (PBLs) to mitogens <i>in vitro</i>. Similarly, bactericidal activity and phorbol 12-myristate 13-acetate induced respiratory burst was modulated by 17β-estradiol. These actions were blocked by the pure ER antagonist ICI 182780 indicating that response is, in part, mediated via ERα. In summary, estrogen receptors are expressed in channel catfish leukocytes and participate in the regulation of the immune response. This is the first time leukocyte lineage expression has been reported in teleost cell lines.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.fsi.2014.06.021","usgsCitation":"Iwanowicz, L., Stafford, J.L., Patiño, R., Bengten, E., Miller, N.W., and Blazer, V., 2014, Channel catfish (Ictalurus punctatus) leukocytes express estrogen receptor isoforms ERα and ERβ2 and are functionally modulated by estrogens: Fish & Shellfish Immunology, v. 40, no. 1, p. 109-119, https://doi.org/10.1016/j.fsi.2014.06.021.","productDescription":"11 p.","startPage":"109","endPage":"119","numberOfPages":"11","ipdsId":"IP-056590","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":472960,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.fsi.2014.06.021","text":"Publisher Index Page"},{"id":293032,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":293031,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.fsi.2014.06.021"}],"volume":"40","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53fd9f48e4b0adaeea6c4df7","contributors":{"authors":[{"text":"Iwanowicz, Luke R.","contributorId":11902,"corporation":false,"usgs":true,"family":"Iwanowicz","given":"Luke R.","affiliations":[],"preferred":false,"id":499462,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stafford, James L.","contributorId":20661,"corporation":false,"usgs":true,"family":"Stafford","given":"James","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":499463,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Patiño, Reynaldo","contributorId":58359,"corporation":false,"usgs":true,"family":"Patiño","given":"Reynaldo","affiliations":[],"preferred":false,"id":499466,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bengten, Eva","contributorId":53298,"corporation":false,"usgs":true,"family":"Bengten","given":"Eva","affiliations":[],"preferred":false,"id":499465,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Miller, Norman W.","contributorId":20662,"corporation":false,"usgs":true,"family":"Miller","given":"Norman","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":499464,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Blazer, Vicki 0000-0001-6647-9614 vblazer@usgs.gov","orcid":"https://orcid.org/0000-0001-6647-9614","contributorId":792,"corporation":false,"usgs":true,"family":"Blazer","given":"Vicki","email":"vblazer@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":499461,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70155275,"text":"70155275 - 2014 - The regional forcing of Northern hemisphere drought during recent warm tropical west Pacific Ocean La Niña events","interactions":[],"lastModifiedDate":"2017-01-18T11:33:39","indexId":"70155275","displayToPublicDate":"2014-06-01T12:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1248,"text":"Climate Dynamics","active":true,"publicationSubtype":{"id":10}},"title":"The regional forcing of Northern hemisphere drought during recent warm tropical west Pacific Ocean La Niña events","docAbstract":"<p><span>Northern Hemisphere circulations differ considerably between individual El Ni&ntilde;o-Southern Oscillation events due to internal atmospheric variability and variation in the zonal location of sea surface temperature forcing over the tropical Pacific Ocean. This study examines the similarities between recent Northern Hemisphere droughts associated with La Ni&ntilde;a events and anomalously warm tropical west Pacific sea surface temperatures during 1988&ndash;1989, 1998&ndash;2000, 2007&ndash;2008 and 2010&ndash;2011 in terms of the hemispheric-scale circulations and the regional forcing of precipitation over North America and Asia during the cold season of November through April. The continental precipitation reductions associated with recent central Pacific La Ni&ntilde;a events were most severe over North America, eastern Africa, the Middle East and southwest Asia. High pressure dominated the entire Northern Hemisphere mid-latitudes and weakened and displaced storm tracks northward over North America into central Canada. Regionally over North America and Asia, the position of anomalous circulations within the zonal band of mid-latitude high pressure varied between each La Ni&ntilde;a event. Over the northwestern and southeastern United States and southern Asia, the interactions of anomalous circulations resulted in consistent regional temperature advection, which was subsequently balanced by similar precipitation-modifying vertical motions. Over the central and northeastern United States, the spatial variation of anomalous circulations resulted in modest inter-seasonal temperature advection variations, which were balanced by varying vertical motion and precipitation patterns. Over the Middle East and eastern Africa, the divergence of moisture and the advection of dry air due to anomalous circulations enhanced each of the droughts.</span></p>","language":"English","publisher":"Springer-International","publisherLocation":"Heidelberg","doi":"10.1007/s00382-013-1799-4","usgsCitation":"Hoell, A., Funk, C.C., and Barlow, M., 2014, The regional forcing of Northern hemisphere drought during recent warm tropical west Pacific Ocean La Niña events: Climate Dynamics, v. 42, no. 11-12, p. 3289-3311, https://doi.org/10.1007/s00382-013-1799-4.","productDescription":"23 p.","startPage":"3289","endPage":"3311","numberOfPages":"23","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-044716","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":306488,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"42","issue":"11-12","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2013-05-21","publicationStatus":"PW","scienceBaseUri":"57f7f0dfe4b0bc0bec09fa20","contributors":{"authors":[{"text":"Hoell, Andrew","contributorId":145805,"corporation":false,"usgs":false,"family":"Hoell","given":"Andrew","affiliations":[{"id":16236,"text":"UCSB Climate Hazards Group","active":true,"usgs":false}],"preferred":false,"id":565469,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Funk, Christopher C. 0000-0002-9254-6718 cfunk@usgs.gov","orcid":"https://orcid.org/0000-0002-9254-6718","contributorId":721,"corporation":false,"usgs":true,"family":"Funk","given":"Christopher","email":"cfunk@usgs.gov","middleInitial":"C.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":565468,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barlow, Mathew","contributorId":145832,"corporation":false,"usgs":false,"family":"Barlow","given":"Mathew","email":"","affiliations":[{"id":16249,"text":"UMASS Lowel","active":true,"usgs":false}],"preferred":false,"id":565470,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70116836,"text":"70116836 - 2014 - Riparian restoration framework for the Upper Gila River, Arizona","interactions":[],"lastModifiedDate":"2025-01-08T21:22:12.231981","indexId":"70116836","displayToPublicDate":"2014-06-01T11:53:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"seriesTitle":{"id":222,"text":"Technical Report","active":false,"publicationSubtype":{"id":3}},"title":"Riparian restoration framework for the Upper Gila River, Arizona","docAbstract":"This technical report summarizes the methods and results of a comprehensive riparian restoration planning effort for the Gila Valley Restoration Planning Area, an approximately 53-mile portion of the upper Gila River in Arizona (Figure 1-1). This planning effort has developed a Restoration Framework intended to deliver science-based guidance on suitable riparian restoration actions within the ecologically sensitive river corridor. The framework development was conducted by a restoration science team, led by Stillwater Sciences with contributions from researchers at the Desert Botanical Garden (DBG), Northern Arizona University (NAU), University of California at Santa Barbara (UCSB), and U.S. Geological Survey (USGS). All work was coordinated by the Gila Watershed Partnership of Arizona (GWP), whose broader Upper Gila River Project Area is depicted in Figure 1-1, with funding from the Walton Family Foundation’s Freshwater Initiative Program.","language":"English","publisher":"Stillwater Sciences","publisherLocation":"Santa Cruz, CA","usgsCitation":"Orr, B., Leverich, G., Diggory, Z.E., Dudley, T.L., Hatten, J.R., Hultine, K.R., Johnson, M.P., and Orr, D.A., 2014, Riparian restoration framework for the Upper Gila River, Arizona: Technical Report, iii, 57 p.","productDescription":"iii, 57 p.","numberOfPages":"145","ipdsId":"IP-056278","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":294512,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Upper Gila River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.77,33.32 ], [ -111.77,32.58 ], [ -109.02,32.58 ], [ -109.02,33.32 ], [ -111.77,33.32 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54252ecbe4b0e641df8a712e","contributors":{"authors":[{"text":"Orr, Bruce K.","contributorId":26235,"corporation":false,"usgs":true,"family":"Orr","given":"Bruce K.","affiliations":[],"preferred":false,"id":495878,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Leverich, Glen L.","contributorId":58958,"corporation":false,"usgs":true,"family":"Leverich","given":"Glen L.","affiliations":[],"preferred":false,"id":495881,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Diggory, Zooey E.","contributorId":47707,"corporation":false,"usgs":true,"family":"Diggory","given":"Zooey","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":495880,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dudley, Tom L.","contributorId":59730,"corporation":false,"usgs":true,"family":"Dudley","given":"Tom","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":495882,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hatten, James R. 0000-0003-4676-8093 jhatten@usgs.gov","orcid":"https://orcid.org/0000-0003-4676-8093","contributorId":3431,"corporation":false,"usgs":true,"family":"Hatten","given":"James","email":"jhatten@usgs.gov","middleInitial":"R.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":495876,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hultine, Kevin R. 0000-0001-9747-6037","orcid":"https://orcid.org/0000-0001-9747-6037","contributorId":23772,"corporation":false,"usgs":true,"family":"Hultine","given":"Kevin","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":495877,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Johnson, Matthew P. mjjohnson@usgs.gov","contributorId":42899,"corporation":false,"usgs":true,"family":"Johnson","given":"Matthew","email":"mjjohnson@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":false,"id":495879,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Orr, Devyn A.","contributorId":104415,"corporation":false,"usgs":true,"family":"Orr","given":"Devyn","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":495883,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70155067,"text":"70155067 - 2014 - Brood surveys and hunter observations used to predict gobbling activity wild turkeys in Mississippi","interactions":[],"lastModifiedDate":"2015-07-31T10:43:24","indexId":"70155067","displayToPublicDate":"2014-06-01T11:45:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Brood surveys and hunter observations used to predict gobbling activity wild turkeys in Mississippi","docAbstract":"<p><span>The Mississippi Department of Wildlife, Fisheries, and Parks utilize data from turkey hunter observations and brood surveys from across the state to manage wild turkey&nbsp;</span><i>Meleagris gallopavo</i><span>&nbsp;populations. Since 1995, hunters have collected gobbling and jake observation data, while the Mississippi Department of Wildlife, Fisheries, and Parks' personnel and cooperating wildlife managers of several natural resource agencies throughout the state have collected brood survey data. Both sources of data serve to forecast poult recruitment and gobbling activity. The objective of this study was to evaluate if these data can serve as a viable predictor of gobbling activity. We used three mixed models to investigate the relationship between the number of jakes observed per hour of hunting 1&nbsp;y prior and the total number of poults per hens 2&nbsp;y prior (model 1), number of gobblers heard per hour of hunting and the number of jakes observed per hour of hunting 1&nbsp;y prior (model 2), the number of gobblers heard per hour of hunting and the total number poults per total hens observed 2&nbsp;y prior (model 3) using data from 1995 to 2008 among five wild turkey management regions encompassing the state. We incorporated region as a random effect to account for spatial variation. We found the number of jakes observed per hour of hunting 1&nbsp;y prior correlated with the total number of poults per total hens observed 2&nbsp;y prior. We also found the number of gobblers heard per hour of hunting correlated with the number of jakes observed per hour of hunting 1&nbsp;y prior. Additionally, we found that the total poults per total hens observed 2&nbsp;y prior was correlated to the number of gobblers heard per hour of hunting. Our results show promise for using indices of gobbling activity, jake observations, and brood surveys to estimate gobbling activity.</span></p>","language":"English","publisher":"U.S. Fish and Wildlife Service","publisherLocation":"Washington, D.C.","doi":"10.3996/032013-JFWM-023","usgsCitation":"Palumbo, M.D., Vilella, F., Strickland, B.K., Wang, G., and Godwin, D., 2014, Brood surveys and hunter observations used to predict gobbling activity wild turkeys in Mississippi: Journal of Fish and Wildlife Management, v. 5, no. 1, p. 151-156, https://doi.org/10.3996/032013-JFWM-023.","productDescription":"6 p.","startPage":"151","endPage":"156","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051370","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":472961,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/032013-jfwm-023","text":"Publisher Index Page"},{"id":306286,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","issue":"1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2014-01-01","publicationStatus":"PW","scienceBaseUri":"55bc9c29e4b033ef52100f16","contributors":{"authors":[{"text":"Palumbo, Matthew D.","contributorId":146265,"corporation":false,"usgs":false,"family":"Palumbo","given":"Matthew","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":566913,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vilella, Francisco fvilella@usgs.gov","contributorId":4255,"corporation":false,"usgs":true,"family":"Vilella","given":"Francisco","email":"fvilella@usgs.gov","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":564762,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Strickland, Bronson K.","contributorId":146266,"corporation":false,"usgs":false,"family":"Strickland","given":"Bronson","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":566914,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wang, Guiming","contributorId":146267,"corporation":false,"usgs":false,"family":"Wang","given":"Guiming","affiliations":[],"preferred":false,"id":566915,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Godwin, Dave","contributorId":146268,"corporation":false,"usgs":false,"family":"Godwin","given":"Dave","email":"","affiliations":[],"preferred":false,"id":566916,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70121943,"text":"70121943 - 2014 - Development and characterization of 16 polymorphic microsatellite loci for the Alaska blackfish (Esociformes: <i>Dallia pectoralis</i>)","interactions":[],"lastModifiedDate":"2018-08-20T18:07:03","indexId":"70121943","displayToPublicDate":"2014-06-01T11:41:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1325,"text":"Conservation Genetics Resources","active":true,"publicationSubtype":{"id":10}},"title":"Development and characterization of 16 polymorphic microsatellite loci for the Alaska blackfish (Esociformes: <i>Dallia pectoralis</i>)","docAbstract":"<p>Blackfishes (Esociformes: Esocidae: <i>Dallia</i>), small fishes with relictual distributions, are unique in being the only primary freshwater fish genus endemic to Beringia. Although the number of species of <i>Dallia</i> is debated, disjunct populations and distinct mitochondrial divisions that predate the end of the last glacial maximum are apparent. We developed sixteen polymorphic microsatellites from the Alaska blackfish (<i>Dallia pectoralis</i>) to study genetic diversity in <i>Dallia</i>. Genotypes from two populations, Denali (n = 31) and Bethel (n = 35), demonstrated the usefulness of the loci for population-level investigation. Observed and expected heterozygosity averaged 18.6 and 19.8 % in Denali and 61.1 and 63.7 % in Bethel. Number of alleles at each locus averaged 3.50 in Denali and 9.63 in Bethel. The observed signature of variability and structuring between populations is consistent with mitochondrial data.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Conservation Genetics Resources","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s12686-013-0091-6","usgsCitation":"Campbell, M.A., Sage, G.K., DeWilde, R.L., Lopez, J.A., and Talbot, S.L., 2014, Development and characterization of 16 polymorphic microsatellite loci for the Alaska blackfish (Esociformes: <i>Dallia pectoralis</i>): Conservation Genetics Resources, v. 6, no. 2, p. 349-351, https://doi.org/10.1007/s12686-013-0091-6.","productDescription":"3 p.","startPage":"349","endPage":"351","numberOfPages":"3","ipdsId":"IP-050702","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":293027,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":292993,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s12686-013-0091-6"}],"volume":"6","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-12-05","publicationStatus":"PW","scienceBaseUri":"53fd9f4ae4b0adaeea6c4dff","contributors":{"authors":[{"text":"Campbell, Matthew A.","contributorId":74310,"corporation":false,"usgs":true,"family":"Campbell","given":"Matthew","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":499404,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sage, George K. 0000-0003-1431-2286 ksage@usgs.gov","orcid":"https://orcid.org/0000-0003-1431-2286","contributorId":87833,"corporation":false,"usgs":true,"family":"Sage","given":"George","email":"ksage@usgs.gov","middleInitial":"K.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":false,"id":499405,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeWilde, Rachel L.","contributorId":24700,"corporation":false,"usgs":true,"family":"DeWilde","given":"Rachel","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":499403,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lopez, J. Andres","contributorId":14306,"corporation":false,"usgs":true,"family":"Lopez","given":"J.","email":"","middleInitial":"Andres","affiliations":[],"preferred":false,"id":499402,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Talbot, Sandra L. 0000-0002-3312-7214 stalbot@usgs.gov","orcid":"https://orcid.org/0000-0002-3312-7214","contributorId":140512,"corporation":false,"usgs":true,"family":"Talbot","given":"Sandra","email":"stalbot@usgs.gov","middleInitial":"L.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":499401,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70121922,"text":"70121922 - 2014 - Benzo[<i>b</i>]naphthothiophenes and alkyl dibenzothiophenes: molecular tracers for oil migration distances","interactions":[],"lastModifiedDate":"2014-08-26T11:38:59","indexId":"70121922","displayToPublicDate":"2014-06-01T11:33:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2682,"text":"Marine and Petroleum Geology","active":true,"publicationSubtype":{"id":10}},"title":"Benzo[<i>b</i>]naphthothiophenes and alkyl dibenzothiophenes: molecular tracers for oil migration distances","docAbstract":"<p>The secondary migration of petroleum is one of the most critical geological processes responsible for the accumulation of hydrocarbons in a sedimentary basin. Pyrrolic nitrogen compounds such as carbazoles and benzocarbazoles are thought to be practical molecular indicators for estimating relative migration distances of oil. In light oils or condensates, however, considerable analytical errors are usually caused by low concentrations of NSO-compounds. Here we show that polycyclic sulfur aromatic hydrocarbons such as dibenzothiophene, C<sub>1</sub>∼C<sub>3</sub> alkylated dibenzothiophenes and benzo[<i>b</i>]naphthothiophenes, which are present in relatively higher concentrations than the pyrrolic nitrogen compounds, exhibit changes in both absolute and relative concentrations that correlate with migration distances. The polycyclic sulfur aromatic hydrocarbons related parameters — benzo[<i>b</i>]naphtho[2,1-<i>d</i>]thiophene/{benzo[<i>b</i>]naphtho[2,1-<i>d</i>]thiophene + benzo[<i>b</i>]naphtho[1,2-<i>d</i>]thiophene} (abbreviated as [2,1]BNT/([2,1]BNT+[1,2]BNT) and the concentration of total dibenzothiophenes plus benzo[<i>b</i>]naphthothiophenes — are proposed by this paper to trace the oil migration distances.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Marine and Petroleum Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.marpetgeo.2014.06.012","usgsCitation":"Li, M., Wang, T., Shi, S., Liu, K., and Ellis, G.S., 2014, Benzo[<i>b</i>]naphthothiophenes and alkyl dibenzothiophenes: molecular tracers for oil migration distances: Marine and Petroleum Geology, v. 57, p. 403-417, https://doi.org/10.1016/j.marpetgeo.2014.06.012.","productDescription":"15 p.","startPage":"403","endPage":"417","numberOfPages":"15","ipdsId":"IP-042970","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":293025,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":292984,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.marpetgeo.2014.06.012"}],"country":"China","otherGeospatial":"Tarim Basin;Tahe Oil Field","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 76.14,36.59 ], [ 76.14,41.7 ], [ 90.74,41.7 ], [ 90.74,36.59 ], [ 76.14,36.59 ] ] ] } } ] }","volume":"57","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53fd9f47e4b0adaeea6c4df0","contributors":{"authors":[{"text":"Li, Meijun","contributorId":73478,"corporation":false,"usgs":true,"family":"Li","given":"Meijun","affiliations":[],"preferred":false,"id":499342,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wang, T.-G.","contributorId":56387,"corporation":false,"usgs":true,"family":"Wang","given":"T.-G.","email":"","affiliations":[],"preferred":false,"id":499341,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shi, Shengbao","contributorId":32419,"corporation":false,"usgs":true,"family":"Shi","given":"Shengbao","email":"","affiliations":[],"preferred":false,"id":499339,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Liu, Keyu","contributorId":54120,"corporation":false,"usgs":true,"family":"Liu","given":"Keyu","email":"","affiliations":[],"preferred":false,"id":499340,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ellis, Geoffrey S. 0000-0003-4519-3320 gsellis@usgs.gov","orcid":"https://orcid.org/0000-0003-4519-3320","contributorId":1058,"corporation":false,"usgs":true,"family":"Ellis","given":"Geoffrey","email":"gsellis@usgs.gov","middleInitial":"S.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":499338,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
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