Didymosphenia geminata (didymo) is a freshwater alga native to North America, including Glacier National Park, Montana. It has long been considered a cold-water species, but has recently spread to lower latitudes and warmer waters, and increasingly forms large blooms that cover streambeds. We used a comprehensive monitoring data set from the National Park Service (NPS) and USGS models of stream temperatures to explore the drivers of didymo abundance in Glacier National Park. We estimate that approximately 64% of the stream length in the park contains didymo, with around 5% in a bloom state. Results suggest that didymo abundance likely increased over the study period (2007–2009), with blooms becoming more common. Our models suggest that didymo abundance is positively related to summer stream temperatures and negatively related to total nitrogen and the distance downstream from lakes. Regional climate model simulations indicate that stream temperatures in the park will likely continue to increase over the coming decades, which may increase the extent and severity of didymo blooms. As a result, didymo may be a useful indicator of thermal and hydrological modification associated with climate warming, especially in a relatively pristine system like Glacier where proximate human-related disturbances are absent or reduced. Glacier National Park plays an important role as a sentinel for climate change and associated education across the Rocky Mountain region.
","language":"English","publisher":"Park Science","usgsCitation":"Muhlfeld, C.C., Jones, L.A., E. William Schweiger, Ashton, I.W., and Bahls, L.L., 2011, The distribution and abundance ofa nuisance native alga, Didymosphenia geminata,in streams of Glacier National Park: Climate drivers and management implications: Park Science, v. 28, no. 2, p. 88-91.","productDescription":"4 p. 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The Haleakala Argentine Ant Project is an ongoing effort to study the ecology of the invasive Argentine ant in the park, and if possible to develop a strategy to control this destructive species. 2. Past research has demonstrated that the Argentine ant causes very significant impacts on native arthropods where it invades, threatening a large portion of the park’s biodiversity in subalpine shrubland and alpine aeolian ecosystems. 3. Patterns of spread over the past 30+ years indicate that the invasion process is influenced to a substantial degree by abiotic factors such as elevation, rainfall and temperature, and that the ant has not reached its potential range. Predictions of total range in the park suggest that it has only invaded a small fraction of available suitable habitat, confirming that this species is one of most serious threats to the park’s natural resources. 4. Numerous experiments have been conducted since 1994 in an attempt to develop a method for eradicating the Argentine ant at Haleakala using pesticidal ant baits. Thirty baits have been screened for attractiveness to ants in the park, and ten of these were tested for effectiveness of control in field plots. While some of these baits have been very effective in reducing numbers of ants, none has been able to eliminate all nests in experimental plots. 5. Research into a secondary management goal of ant population containment was initiated in 1996. By treating only expanding margins of the park’s two ant populations with an ant pesticide, rates of outward spread were substantially reduced in some areas. While this strategy was implemented from 1997 to 2004, it was ultimately discontinued after 2004 because of the difficulty and insufficient effectiveness of the technique. 6. In order to achieve the types of results necessary for eradication, the project would probably need to explore the possibility of developing a specialized bait, rather than relying on a commercially produced bait. An alternative would be to pursue approval to use Xstinguish bait, a commercial bait manufactured in New Zealand and not registered for use in the US, which has yielded good results against Argentine ants. Either route would involve significant regulatory hurdles. Because the baits ultimately used would likely be liquid or paste in form, there would also be major logistical challenges in devising methods to successfully apply the baits across the two large ant populations at Haleakala.
","language":"English","publisher":"University of Hawaii at Manoa","publisherLocation":"Honolulu, Hawaii","usgsCitation":"Krushelnycky, P., Haines, W., Loope, L., and Van Gelder, E., 2011, The Haleakala Argentine ant project: A synthesis of past research and prospects for the future: Technical Report 173, 124 p.","productDescription":"124 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-029283","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":326177,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":378784,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://scholarspace.manoa.hawaii.edu/handle/10125/33202"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57a5b8dde4b0ebae89b78a84","contributors":{"authors":[{"text":"Krushelnycky, Paul","contributorId":119780,"corporation":false,"usgs":true,"family":"Krushelnycky","given":"Paul","affiliations":[],"preferred":false,"id":514559,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haines, William","contributorId":116979,"corporation":false,"usgs":true,"family":"Haines","given":"William","email":"","affiliations":[],"preferred":false,"id":514557,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Loope, Lloyd","contributorId":29781,"corporation":false,"usgs":true,"family":"Loope","given":"Lloyd","affiliations":[],"preferred":false,"id":644918,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Van Gelder, Ellen","contributorId":121491,"corporation":false,"usgs":true,"family":"Van Gelder","given":"Ellen","email":"","affiliations":[],"preferred":false,"id":514560,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70174137,"text":"70174137 - 2011 - Molecular systematics of Sander, and hybridization between walleye and sauger","interactions":[],"lastModifiedDate":"2016-12-14T13:22:24","indexId":"70174137","displayToPublicDate":"2011-06-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Molecular systematics of Sander, and hybridization between walleye and sauger","docAbstract":" n/a
The area designated by the city of San Antonio as the Rancho Diana Natural Area is in northern Bexar County, near San Antonio, Texas. During 2008-10, the U.S. Geological Survey, in cooperation with the city of San Antonio, documented the geologic framework and mapped the hydrogeologic characteristics for the southern part of the Rancho Diana Natural Area. The geologic framework of the study area and its hydrogeologic characteristics were documented using field observations and information from previously published reports. Many of the geologic and hydrogeologic features were found by making field observations through the dense vegetation along gridlines spaced approximately 25 feet apart and documenting the features as they were located. Surface geologic features were identified and hydrogeologic features such as caves, sinkholes, and areas of solutionally enlarged porosity were located using hand-held Global Positioning System units. The location data were used to create a map of the hydrogeologic subdivisions and the location of karst features. The outcrops of the Edwards and Trinity aquifer recharge zones were mapped by using hydrogeologic subdivisions modified from previous reports. All rocks exposed within the study area are of sedimentary origin and Lower Cretaceous in age. The valley floor is formed in the cavernous member of the upper Glen Rose Limestone of the Trinity Group. The hills are composed of the basal nodular member, dolomitic member, Kirschberg evaporite member, and grainstone member of the Kainer Formation of the Edwards Group. Field observations made during this study of the exposed formations and members indicate that the formations and members typically are composed of mudstones, wackestones, packstones, grainstones, and argillaceous limestones, along with marls. The upper Glen Rose Limestone is approximately 410 to 450 feet thick but only the upper 70 feet is exposed in the study area. The Kainer Formation is approximately 255 feet thick in the study area and is composed of, in ascending order, the basal nodular member, dolomitic member, Kirschberg evaporite member, and grainstone member. The Edwards and Trinity aquifers contain a combination of fabric-selective and not-fabric-selective porosities. Porosity types observed in the study area that can increase the effective porosity and increase permeability include solutionally enlarged caves, sinkholes, fractures, bedding planes, channels, molds and vugs. Caves found during hydrogeologic mapping might have been spring discharge points, but sufficient downcutting over geologic time in the rocks has occurred so that springs discharge at lower elevations near the creek channel. The mapped caves, sinkholes, and other areas of solutionally enlarged porosity might facilitate recharge during large storm events when runoff occurs on the hillsides; additional areally distributed recharge in the study area occurs as a result of infiltration.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115069","collaboration":"In cooperation with the City of San Antonio","usgsCitation":"Clark, A.K., and Morris, R., 2011, Geologic framework and hydrogeologic characteristics in the southern part of the Rancho Diana Natural Area, northern Bexar County, Texas, 2008-10: U.S. Geological Survey Scientific Investigations Report 2011-5069, v, 19 p., https://doi.org/10.3133/sir20115069.","productDescription":"v, 19 p.","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2008-01-01","temporalEnd":"2010-12-31","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":116841,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5069.jpg"},{"id":21820,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5069/","linkFileType":{"id":5,"text":"html"}},{"id":338706,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2011/5069/pdf/sir2011-5069.pdf","text":"Report","size":"20 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"country":"United States","state":"Texas","county":"Bexar","otherGeospatial":"Rancho Diana Natural Area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -98.67679595947266,\n 29.61763959537609\n ],\n [\n -98.68091583251953,\n 29.61465489947712\n ],\n [\n -98.68640899658203,\n 29.608685242542364\n ],\n [\n -98.68881225585938,\n 29.59883453582689\n ],\n [\n -98.68331909179688,\n 29.59077415103838\n ],\n [\n -98.67610931396484,\n 29.585997322833492\n ],\n [\n -98.66546630859375,\n 29.58629588122112\n ],\n [\n -98.65585327148438,\n 29.5922668634766\n ],\n [\n -98.6517333984375,\n 29.602118211647333\n ],\n [\n -98.64212036132812,\n 29.612267079123548\n ],\n [\n -98.64280700683592,\n 29.622713375554916\n ],\n [\n -98.64967346191406,\n 29.626891590943814\n ],\n [\n -98.65791320800781,\n 29.62629471363916\n ],\n [\n -98.66752624511719,\n 29.62539939105201\n ],\n [\n -98.67233276367188,\n 29.622414924968727\n ],\n [\n -98.67679595947266,\n 29.61763959537609\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b15e4b07f02db6a4819","contributors":{"authors":[{"text":"Clark, Allan K. 0000-0003-0099-1521 akclark@usgs.gov","orcid":"https://orcid.org/0000-0003-0099-1521","contributorId":1279,"corporation":false,"usgs":true,"family":"Clark","given":"Allan","email":"akclark@usgs.gov","middleInitial":"K.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":350563,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morris, Robert R. 0000-0001-7504-3732","orcid":"https://orcid.org/0000-0001-7504-3732","contributorId":106213,"corporation":false,"usgs":true,"family":"Morris","given":"Robert R.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":350564,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70173540,"text":"70173540 - 2011 - Trends in marine debris in the U.S. Caribbean and the Gulf of Mexico, 1996-2003","interactions":[],"lastModifiedDate":"2016-06-22T15:46:15","indexId":"70173540","displayToPublicDate":"2011-05-31T05:30:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2358,"text":"Journal of Integrative Plant Biology","active":true,"publicationSubtype":{"id":10}},"title":"Trends in marine debris in the U.S. Caribbean and the Gulf of Mexico, 1996-2003","docAbstract":"Marine debris is a widespread and globally recognized problem. Sound information is necessary to understand the extent of the problem and to inform resource managers and policy makers about potential mitigation strategies. Although there are many short-term studies on marine debris, a longer-term perspective and the ability to compare among regions has heretofore been missing in the U.S. Caribbean and the Gulf of Mexico. We used data from a national beach monitoring program to evaluate and compare amounts, composition, and trends of indicator marine debris in the U.S. Caribbean (Puerto Rico and the U.S. Virgin Islands) and the Gulf of Mexico from 1996 to 2003. Indicator items provided a standardized set that all surveys collected; each was assigned a probable source: ocean-based, land-based, or general-source. Probable ocean-based debris was related to activities such as recreational boating/fishing, commercial fishing and activities on oil/gas platforms. Probable land-based debris was related to land-based recreation and sewer systems. General-source debris represented plastic items that can come from either ocean- or land-based sources; these items were plastic bags, strapping bands, and plastic bottles (excluding motor oil containers). Debris loads were similar between the U.S. Caribbean and the western Gulf of Mexico; however, debris composition on U.S. Caribbean beaches was dominated by land-based indicators while the western Gulf of Mexico was dominated by ocean-based indicators. Beaches along the eastern Gulf of Mexico had the lowest counts of debris; composition was dominated by land-based indicators, similar to that found for the U.S. Caribbean. Debris loads on beaches in the Gulf of Mexico are likely affected by Gulf circulation patterns, reducing loads in the eastern Gulf and increasing loads in the western Gulf. Over the seven years of monitoring, we found a large linear decrease in total indicator debris, as well as all source categories, for the U.S. Caribbean. Lower magnitude decreases were seen in indicator debris along the eastern Gulf of Mexico. In contrast, only land-based indicators declined in the western Gulf of Mexico; total, ocean-based and general-source indicators remained unchanged. Decreases in land-based indicators were not related to human population in the coastal regions; human population increased in all regions over the time of the study. Significant monthly patterns for indicator debris were found only in the Gulf of Mexico; counts were highest during May through September, with peaks occurring in July. Inclement weather conditions before the time of the survey also accounted for some of the variation in the western Gulf of Mexico; fewer items were found when there were heavy seas or cold fronts in the weeks prior to the survey, while tropical storms (including hurricanes) increased the amount of debris. 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J.","contributorId":171931,"corporation":false,"usgs":false,"family":"Rugg","given":"David","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":640312,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70136243,"text":"70136243 - 2011 - Distribution and density of marine birds and mammals along the Kenai Fjords National Park coastline - March 2010","interactions":[],"lastModifiedDate":"2017-06-12T14:45:16","indexId":"70136243","displayToPublicDate":"2011-05-31T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Distribution and density of marine birds and mammals along the Kenai Fjords National Park coastline - March 2010","docAbstract":"From March 21, 2010 to March 24, 2010, a winter marine bird and mammal skiff-based survey along the coast of Kenai Fjords National Park (KEFJ) was completed. This was the second winter survey completed for KEFJ since 2008. The primary objectives of the SWAN winter surveys are to characterize the species composition, density and distribution of the overwintering marine ducks prior to their migration to breeding grounds. Seasonal differences in species composition, distribution and density of other marine birds and mammals are also documented. The overall design calls for the sampling of the same transects during both the winter and summer surveys if safe and appropriate conditions allow. The 2010 survey took approximately four days to complete with a crew of six. The most common birds observed on the nearshore transects were the Barrow’s goldeneye (29.35/km2 , SE=9.24) and harlequin duck (29.30/km2 , SE=4.72). Harlequin ducks tended to be more evenly distributed along the coastline while Barrow’s goldeneye tended to be observed in less exposed areas along the coast and in larger groups. In contrast, the most abundant marine bird in KEFJ summer surveys is the Glaucous-winged gull, while Barrow’s goldeneye are nearly absent along the KEFJ coast. The most common marine mammal was the harbor seal (6.75/km2 , se=2.93) followed by the sea otter (3.59/km2 , se=0.90, adults and pups). Densities of harbor seals and sea otters in the summer were similar to the winter estimates.
","language":"English","publisher":"National Park Service","publisherLocation":"Fort Collins, CO","usgsCitation":"Coletti, H.A., Bodkin, J.L., and Esslinger, G.G., 2011, Distribution and density of marine birds and mammals along the Kenai Fjords National Park coastline - March 2010, viii, 30 p. .","productDescription":"viii, 30 p. ","startPage":"1","endPage":"18","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-029804","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":342409,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":296881,"type":{"id":15,"text":"Index Page"},"url":"https://alaska.usgs.gov/science/biology/nearshore_marine/pubs/ColettiH_2010_KEFJWinterMBMReport_20110510_final_nrss.pdf"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -150.9246826171875,\n 59.78681580611527\n ],\n [\n -151.2762451171875,\n 59.62332522313024\n ],\n [\n -151.5399169921875,\n 59.52596149713794\n ],\n [\n -151.8475341796875,\n 59.46740794183739\n ],\n [\n -152.0562744140625,\n 59.377988012638895\n ],\n [\n -152.127685546875,\n 59.2377959767454\n ],\n [\n -152.0233154296875,\n 59.12240677261356\n ],\n [\n -151.666259765625,\n 58.998140645652136\n ],\n [\n -151.204833984375,\n 59.119587533804996\n ],\n [\n -150.72692871093747,\n 59.22936606822124\n ],\n [\n -150.1885986328125,\n 59.43110957970815\n ],\n [\n -149.7711181640625,\n 59.6372113386035\n ],\n [\n -149.34814453125,\n 59.79234387505227\n ],\n [\n -149.139404296875,\n 59.99623934036449\n ],\n [\n -148.7384033203125,\n 59.86412545369721\n ],\n [\n -148.2220458984375,\n 60.133299237518216\n ],\n [\n -148.172607421875,\n 60.23981116999893\n ],\n [\n -148.0517578125,\n 60.47346492719931\n ],\n [\n -148.6175537109375,\n 60.933101061395185\n ],\n [\n -148.9361572265625,\n 60.96244374734495\n ],\n [\n -149.315185546875,\n 61.00773834903187\n ],\n [\n -149.776611328125,\n 61.02637030866053\n ],\n [\n -150.1116943359375,\n 60.94644199944748\n ],\n [\n -150.3094482421875,\n 60.654339553149704\n ],\n [\n -150.743408203125,\n 60.356847344793586\n ],\n [\n -150.908203125,\n 60.07580342475969\n ],\n [\n -150.9246826171875,\n 59.78681580611527\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"593fa839e4b0764e6c6279a8","contributors":{"authors":[{"text":"Coletti, Heather A.","contributorId":187561,"corporation":false,"usgs":false,"family":"Coletti","given":"Heather","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":697887,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Esslinger, George G. 0000-0002-3459-0083 gesslinger@usgs.gov","orcid":"https://orcid.org/0000-0002-3459-0083","contributorId":131009,"corporation":false,"usgs":true,"family":"Esslinger","given":"George","email":"gesslinger@usgs.gov","middleInitial":"G.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":537236,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bodkin, James L. 0000-0003-1641-4438 jbodkin@usgs.gov","orcid":"https://orcid.org/0000-0003-1641-4438","contributorId":748,"corporation":false,"usgs":true,"family":"Bodkin","given":"James","email":"jbodkin@usgs.gov","middleInitial":"L.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":537237,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70004506,"text":"ds604 - 2011 - Davis Pond freshwater diversion biomonitoring: Prediversion and postdiversion freshwater fish data","interactions":[],"lastModifiedDate":"2022-01-19T12:24:00.249716","indexId":"ds604","displayToPublicDate":"2011-05-27T19:09:29","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"604","title":"Davis Pond freshwater diversion biomonitoring: Prediversion and postdiversion freshwater fish data","docAbstract":"No abstract available.
","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ds604","usgsCitation":"Jenkins, J.A., Olivier, H.M., Draugelis-Dale, R., and Kaller, M.D., 2011, Davis Pond freshwater diversion biomonitoring: Prediversion and postdiversion freshwater fish data: U.S. Geological Survey Data Series 604, HTML Document, https://doi.org/10.3133/ds604.","productDescription":"HTML Document","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":116610,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_604.png"},{"id":21815,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/604/","linkFileType":{"id":5,"text":"html"}},{"id":394469,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_95207.htm"}],"country":"United States","state":"Louisiana","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -90.4708,\n 29.3089\n ],\n [\n -90.03,\n 29.3089\n ],\n [\n -90.03,\n 30\n ],\n [\n -90.4708,\n 30\n ],\n [\n -90.4708,\n 29.3089\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4abbe4b07f02db67292b","contributors":{"authors":[{"text":"Jenkins, Jill A. 0000-0002-5087-0894 jenkinsj@usgs.gov","orcid":"https://orcid.org/0000-0002-5087-0894","contributorId":2710,"corporation":false,"usgs":true,"family":"Jenkins","given":"Jill","email":"jenkinsj@usgs.gov","middleInitial":"A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":350521,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Olivier, Heather M.","contributorId":23245,"corporation":false,"usgs":true,"family":"Olivier","given":"Heather","email":"","middleInitial":"M.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":false,"id":350522,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Draugelis-Dale, Rassa 0000-0001-8532-3287","orcid":"https://orcid.org/0000-0001-8532-3287","contributorId":47069,"corporation":false,"usgs":true,"family":"Draugelis-Dale","given":"Rassa","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":350523,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kaller, Michael D.","contributorId":58005,"corporation":false,"usgs":true,"family":"Kaller","given":"Michael","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":350524,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70004515,"text":"ds580 - 2011 - Groundwater environmental tracer data collected from the Chicot, Evangeline, and Jasper aquifers in Montgomery County and adjacent counties, Texas, 2008","interactions":[],"lastModifiedDate":"2016-08-11T15:40:29","indexId":"ds580","displayToPublicDate":"2011-05-27T19:09:29","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"580","title":"Groundwater environmental tracer data collected from the Chicot, Evangeline, and Jasper aquifers in Montgomery County and adjacent counties, Texas, 2008","docAbstract":"The Gulf Coast aquifer system is the primary water supply for Montgomery County in southeastern Texas, including part of the Houston metropolitan area and the cities of Magnolia, Conroe, and The Woodlands Township, Texas. The U.S. Geological Survey, in cooperation with the Lone Star Groundwater Conservation District, collected environmental tracer data in the Gulf Coast aquifer system, primarily in Montgomery County. Forty existing groundwater wells screened in the Gulf Coast aquifer system were selected for sampling in Montgomery County (38 wells), Waller County (1 well), and Walker County (1 well). Groundwater-quality samples, physicochemical properties, and water-level data were collected once from each of the 40 wells during March-September 2008. Groundwater-quality samples were analyzed for dissolved gases and the environmental tracers sulfur hexafluoride, chlorofluorocarbons, tritium, helium-4, and helium-3/tritium. Water samples were collected and processed onsite using methods designed to minimize changes to the water-sample chemistry or contamination from the atmosphere. Replicate samples for quality assurance and quality control were collected with each environmental sample. Well-construction information and environmental tracer data for March-September 2008 are presented.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds580","usgsCitation":"Oden, T., 2011, Groundwater environmental tracer data collected from the Chicot, Evangeline, and Jasper aquifers in Montgomery County and adjacent counties, Texas, 2008: U.S. Geological Survey Data Series 580, iv, 8 p.; Appendices; Download of Appendices in Excel Format, https://doi.org/10.3133/ds580.","productDescription":"iv, 8 p.; Appendices; Download of Appendices in Excel Format","startPage":"iv","endPage":"37","numberOfPages":"41","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":116606,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_580.gif"},{"id":21818,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/580/","linkFileType":{"id":5,"text":"html"}}],"scale":"100000","projection":"Universal Transverse Mercator projection","state":"Texas","county":"Montgomery","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -96.25,30 ], [ -96.25,30.75 ], [ -95.08333333333333,30.75 ], [ -95.08333333333333,30 ], [ -96.25,30 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a80e4b07f02db649701","contributors":{"authors":[{"text":"Oden, Timothy D. toden@usgs.gov","contributorId":1284,"corporation":false,"usgs":true,"family":"Oden","given":"Timothy D.","email":"toden@usgs.gov","affiliations":[],"preferred":true,"id":350542,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70004514,"text":"sir20115008 - 2011 - Precipitation-runoff relations and water-quality characteristics at edge-of-field stations, Discovery Farms and Pioneer Farm, Wisconsin, 2003-8","interactions":[],"lastModifiedDate":"2015-12-23T11:51:14","indexId":"sir20115008","displayToPublicDate":"2011-05-27T19:09:29","publicationYear":"2011","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":"2011-5008","title":"Precipitation-runoff relations and water-quality characteristics at edge-of-field stations, Discovery Farms and Pioneer Farm, Wisconsin, 2003-8","docAbstract":"A cooperative study between the U.S. Geological Survey, the University of Wisconsin (UW)-Madison Discovery Farms program (Discovery Farms), and the UW-Platteville Pioneer Farm program (Pioneer Farm) was developed to identify typical ranges and magnitudes, temporal distributions, and principal factors affecting concentrations and yields of sediment, nutrients, and other selected constituents in runoff from agricultural fields. Hydrologic and water-quality data were collected year-round at 23 edge-of-field monitoring stations on 5 privately owned Discovery Farms and on Pioneer Farm during water years 2003-8. The studied farms represented landscapes, soils, and farming systems typical of livestock farms throughout southern Wisconsin. Each farm employed a variety of soil, nutrient, and water-conservation practices to help minimize sediment and nutrient losses from fields and to improve crop productivity. This report summarizes the precipitation-runoff relations and water-quality characteristics measured in edge-of-field runoff for 26 \"farm years\" (aggregate years of averaged station data from all 6 farms for varying monitoring periods). A relatively wide range of constituents typically found in agricultural runoff were measured: suspended sediment, phosphorus (total, particulate, dissolved reactive, and total dissolved), and nitrogen (total, nitrate plus nitrite, organic, ammonium, total Kjeldahl and total Kjeldahl-dissolved), chloride, total solids, total suspended solids, total volatile suspended solids, and total dissolved solids.\n\nMean annual precipitation was 32.8 inches for the study period, about 3 percent less than the 30-year mean. Overall mean annual runoff was 2.55 inches per year (about 8 percent of precipitation) and the distribution was nearly equal between periods of frozen ground (54 percent) and unfrozen ground (46 percent). Mean monthly runoff was highest during two periods: February to March and May to June. Ninety percent of annual runoff occurred between January and the end of June.\n\nEvent mean concentrations of suspended sediment in runoff during unfrozen-ground periods were significantly higher (p<0.05) than those during frozen-ground periods. Mean annual suspended-sediment yields ranged from about 3 to nearly 5,000 pounds per acre (lb/acre), with a mean yield of 667 lb/acre. Ninety percent of suspended sediment was yielded in runoff during unfrozen-ground periods. May and June alone contributed more than 80 percent of the overall yield.\n\nPhosphorus concentrations and yields were also affected by the ground conditions at the time of runoff; however, unlike suspended sediment, phosphorus was usually available for transport in runoff regardless of ground condition. Mean annual total-phosphorus yields ranged from 0.03 to 7.0 lb/acre, with a mean yield of about 2.0 lb/acre. Nitrogen in runoff followed similar patterns to phosphorus in that concentrations were highest during unfrozen-ground periods, yields were highest during months of highest runoff, and speciation was affected by the ground conditions at the time of runoff. Mean annual total-nitrogen yields ranged from 0.11 to 19.2 lb/acre, and the mean was 7.2 lb/acre. Mean monthly total-nitrogen yields were strongly correlated with mean monthly total-phosphorus yields (r2= 0.92), indicating that the sources of nitrogen and phosphorus in runoff were likely similar.\n\nAnalysis of runoff, concentration, and yield data on annual, monthly, and seasonal time scales, when combined with precipitation, soil moisture, soil temperature, and on-farm field-activity information, revealed conditions in which runoff was most likely. The analysis also revealed the effects that field conditions and the timing of field-management activities-most notably, manure applications and tillage-had on the quantity and quality of surface runoff from agricultural fields.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115008","usgsCitation":"Stuntebeck, T.D., Komiskey, M.J., Peppler, M.C., Owens, D., and Frame, D.R., 2011, Precipitation-runoff relations and water-quality characteristics at edge-of-field stations, Discovery Farms and Pioneer Farm, Wisconsin, 2003-8: U.S. Geological Survey Scientific Investigations Report 2011-5008, vii, 46 p.; Appendices 1-5 in Excel format and Excel Comma Separated Values format, https://doi.org/10.3133/sir20115008.","productDescription":"vii, 46 p.; Appendices 1-5 in Excel format and Excel Comma Separated Values format","startPage":"i","endPage":"46","numberOfPages":"53","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":116609,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5008.jpg"},{"id":21817,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5008/","linkFileType":{"id":5,"text":"html"}}],"state":"Wisconsin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -93,42 ], [ -93,48 ], [ -87,48 ], [ -87,42 ], [ -93,42 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ad0e4b07f02db680852","contributors":{"authors":[{"text":"Stuntebeck, Todd D. 0000-0002-8405-7295 tdstunte@usgs.gov","orcid":"https://orcid.org/0000-0002-8405-7295","contributorId":902,"corporation":false,"usgs":true,"family":"Stuntebeck","given":"Todd","email":"tdstunte@usgs.gov","middleInitial":"D.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":350538,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Komiskey, Matthew J. 0000-0003-2962-6974 mjkomisk@usgs.gov","orcid":"https://orcid.org/0000-0003-2962-6974","contributorId":1776,"corporation":false,"usgs":true,"family":"Komiskey","given":"Matthew","email":"mjkomisk@usgs.gov","middleInitial":"J.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":350540,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peppler, Marie C. 0000-0002-1120-9673 mpeppler@usgs.gov","orcid":"https://orcid.org/0000-0002-1120-9673","contributorId":825,"corporation":false,"usgs":true,"family":"Peppler","given":"Marie","email":"mpeppler@usgs.gov","middleInitial":"C.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":350537,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Owens, David W. dwowens@usgs.gov","contributorId":3745,"corporation":false,"usgs":true,"family":"Owens","given":"David W.","email":"dwowens@usgs.gov","affiliations":[{"id":676,"text":"Wisconsin Water Resource Division","active":false,"usgs":true}],"preferred":false,"id":350539,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Frame, Dennis R.","contributorId":77282,"corporation":false,"usgs":true,"family":"Frame","given":"Dennis","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":350541,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70004508,"text":"ds605 - 2011 - Photographic images captured while sampling for bald eagles near the Davis Pond freshwater diversion structure in Barataria Bay, Louisiana (2009-10)","interactions":[],"lastModifiedDate":"2012-02-02T00:15:50","indexId":"ds605","displayToPublicDate":"2011-05-27T19:09:29","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"605","title":"Photographic images captured while sampling for bald eagles near the Davis Pond freshwater diversion structure in Barataria Bay, Louisiana (2009-10)","docAbstract":"The implementation of freshwater diversions in large-scale coastal restoration schemes presents several scientific and management considerations. Large-scale environmental restructuring necessitates aquatic biomonitoring, and during such field studies, photographs that document animals and habitat may be captured. Among the biomonitoring studies performed in conjunction with the Davis Pond freshwater diversion structure south of New Orleans, Louisiana, only postdiversion study images are readily available, and these are presented here.","language":"ENGLISH","doi":"10.3133/ds605","usgsCitation":"Jenkins, J.A., Jeske, C.W., and Allain, L.K., 2011, Photographic images captured while sampling for bald eagles near the Davis Pond freshwater diversion structure in Barataria Bay, Louisiana (2009-10): U.S. Geological Survey Data Series 605, iii, 19 p., https://doi.org/10.3133/ds605.","productDescription":"iii, 19 p.","additionalOnlineFiles":"Y","temporalStart":"2009-01-01","temporalEnd":"2010-12-31","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":116607,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_605.png"},{"id":21816,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/605/","linkFileType":{"id":5,"text":"html"}}],"state":"Louisiana","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4adbe4b07f02db685e5d","contributors":{"authors":[{"text":"Jenkins, Jill A. 0000-0002-5087-0894 jenkinsj@usgs.gov","orcid":"https://orcid.org/0000-0002-5087-0894","contributorId":2710,"corporation":false,"usgs":true,"family":"Jenkins","given":"Jill","email":"jenkinsj@usgs.gov","middleInitial":"A.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":350526,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jeske, Clinton W. jeskec@usgs.gov","contributorId":2982,"corporation":false,"usgs":true,"family":"Jeske","given":"Clinton","email":"jeskec@usgs.gov","middleInitial":"W.","affiliations":[],"preferred":true,"id":350527,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Allain, Larry K. 0000-0002-7717-9761 allainl@usgs.gov","orcid":"https://orcid.org/0000-0002-7717-9761","contributorId":2414,"corporation":false,"usgs":true,"family":"Allain","given":"Larry","email":"allainl@usgs.gov","middleInitial":"K.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":350525,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70004496,"text":"ofr20111095 - 2011 - Assessment of Soil-Gas and Soil Contamination at the Former Military Police Range, Fort Gordon, Georgia, 2009-2010","interactions":[],"lastModifiedDate":"2012-03-08T17:16:40","indexId":"ofr20111095","displayToPublicDate":"2011-05-27T19:09:29","publicationYear":"2011","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":"2011-1095","title":"Assessment of Soil-Gas and Soil Contamination at the Former Military Police Range, Fort Gordon, Georgia, 2009-2010","docAbstract":"Soil gas and soil were assessed for organic and inorganic contaminants at the former military police range at Fort Gordon, Georgia, from May to September 2010. The assessment evaluated organic contaminants in soil-gas samplers and inorganic contaminants in soil samples. This assessment was conducted to provide environmental contamination data to Fort Gordon pursuant to requirements of the Resource Conservation and Recovery Act Part B Hazardous Waste Permit process. Soil-gas samplers deployed and collected from May 20 to 24, 2010, identified masses above method detection level for total petroleum hydrocarbons, gasoline-related and diesel-related compounds, and chloroform. Most of these detections were in the southwestern quarter of the study area and adjacent to the road on the eastern boundary of the site. Nine of the 11 chloroform detections were in the southern half of the study area. One soil-gas sampler deployed adjacent to the road on the southern boundary of the site detected a mass of tetrachloroethene greater than, but close to, the method detection level of 0.02 microgram. For soil-gas samplers deployed and collected from September 15 to 22, 2010, none of the selected organic compounds classified as chemical agents and explosives were detected above method detection levels. Inorganic concentrations in the five soil samples collected at the site did not exceed the U.S. Environmental Protection Agency regional screening levels for industrial soil and were at or below background levels for similar rocks and strata in South Carolina.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111095","collaboration":"Prepared in cooperation with the U.S. Department of the Army Environmental and Natural Resources Management Office of the U.S. Army Signal Center and Fort Gordon","usgsCitation":"Falls, W.F., Caldwell, A.W., Guimaraes, W.B., Ratliff, W.H., Wellborn, J.B., and Landmeyer, J., 2011, Assessment of Soil-Gas and Soil Contamination at the Former Military Police Range, Fort Gordon, Georgia, 2009-2010: U.S. Geological Survey Open-File Report 2011-1095, vi, 24 p., https://doi.org/10.3133/ofr20111095.","productDescription":"vi, 24 p.","costCenters":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"links":[{"id":116608,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1095.bmp"},{"id":21814,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1095/","linkFileType":{"id":5,"text":"html"}},{"id":204787,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/BF02509922"}],"country":"United States","state":"Georgia","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4aafe4b07f02db66d313","contributors":{"authors":[{"text":"Falls, W. Fred 0000-0003-2928-9795 wffalls@usgs.gov","orcid":"https://orcid.org/0000-0003-2928-9795","contributorId":107754,"corporation":false,"usgs":true,"family":"Falls","given":"W.","email":"wffalls@usgs.gov","middleInitial":"Fred","affiliations":[],"preferred":false,"id":350505,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caldwell, Andral W. 0000-0003-1269-5463 acaldwel@usgs.gov","orcid":"https://orcid.org/0000-0003-1269-5463","contributorId":3228,"corporation":false,"usgs":true,"family":"Caldwell","given":"Andral","email":"acaldwel@usgs.gov","middleInitial":"W.","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":true,"id":350500,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Guimaraes, Wladmir B. wbguimar@usgs.gov","contributorId":3818,"corporation":false,"usgs":true,"family":"Guimaraes","given":"Wladmir","email":"wbguimar@usgs.gov","middleInitial":"B.","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":true,"id":350502,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ratliff, W. Hagan","contributorId":60347,"corporation":false,"usgs":true,"family":"Ratliff","given":"W.","email":"","middleInitial":"Hagan","affiliations":[],"preferred":false,"id":350504,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wellborn, John B.","contributorId":24822,"corporation":false,"usgs":true,"family":"Wellborn","given":"John","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":350503,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Landmeyer, James 0000-0002-5640-3816 jlandmey@usgs.gov","orcid":"https://orcid.org/0000-0002-5640-3816","contributorId":3257,"corporation":false,"usgs":true,"family":"Landmeyer","given":"James","email":"jlandmey@usgs.gov","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":350501,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70004516,"text":"ofr20111076 - 2011 - Streamflow, water quality, and constituent loads and yields, Scituate Reservoir drainage area, Rhode Island, water year 2010","interactions":[],"lastModifiedDate":"2012-03-08T17:16:40","indexId":"ofr20111076","displayToPublicDate":"2011-05-27T19:09:00","publicationYear":"2011","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":"2011-1076","title":"Streamflow, water quality, and constituent loads and yields, Scituate Reservoir drainage area, Rhode Island, water year 2010","docAbstract":"Streamflow and water-quality data were collected by the U.S. Geological Survey (USGS) or the Providence Water Supply Board (PWSB), Rhode Island's largest drinking-water supplier. Streamflow was measured or estimated by the USGS following standard methods at 23 streamgages; 14 of these stations were also equipped with instrumentation capable of continuously monitoring specific conductance and water temperature. Streamflow and concentrations of sodium and chloride estimated from records of specific conductance were used to calculate loads of sodium and chloride during water year (WY) 2010 (October 1, 2009, to September 30, 2010). Water-quality samples also were collected at 37 sampling stations by the PWSB and at 14 monitoring stations by the USGS during WY 2010 as part of a long sampling program; all stations are in the Scituate Reservoir drainage area. Waterquality data collected by PWSB are summarized by using values of central tendency and are used, in combination with measured (or estimated) streamflows, to calculate loads and yields (loads per unit area) of selected water-quality constituents for WY 2010. The largest tributary to the reservoir (the Ponaganset River, which was monitored by the USGS) contributed a mean streamflow of about 39 cubic feet per second (ft3/s) to the reservoir during WY 2010. For the same time period, annual mean streamflows measured (or estimated) for the other monitoring stations in this study ranged from about 0.7 to 27 ft3/s. Together, tributary streams (equipped with instrumentation capable of continuously monitoring specific conductance) transported about 1,500,000 kilograms (kg) of sodium and 2,500,000 kg of chloride to the Scituate Reservoir during WY 2010; sodium and chloride yields for the tributaries ranged from 11,000 to 66,000 kilograms per square mile (kg/mi2) and from 18,000 to 110,000 kg/mi2, respectively. At the stations where water-quality samples were collected by the PWSB, the median of the median chloride concentrations was 20.2 milligrams per liter (mg/L), median nitrite concentration was 0.002 mg/L as nitrogen (N), median nitrate concentration was 0.01 mg/L as N, median orthophosphate concentration was 0.06 mg/L as phosphorus, and median concentrations of total coliform and Escherichia coli (E. coli) bacteria were 93 and 16 colony forming units per 100 milliliters (CFU/100mL), respectively. The medians of the median daily loads (and yields) of chloride, nitrite, nitrate, orthophosphate, and total coliform and E. coli bacteria were 170 kg/d (73 kg/d/mi2), 11 g/d (5.3 g/d/mi2), 74 g/d (39 g/d/mi2), 340 g/d (170 g/d/mi2), 5,700 million colony forming units per day (CFUx106/d) (2,300 CFUx106/d/mi2), and 620 CFUx106/d (440 CFUx106/d/mi2), respectively.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111076","usgsCitation":"Smith, K.P., and Breault, R., 2011, Streamflow, water quality, and constituent loads and yields, Scituate Reservoir drainage area, Rhode Island, water year 2010: U.S. Geological Survey Open-File Report 2011-1076, iv, 20 p.; Tables, https://doi.org/10.3133/ofr20111076.","productDescription":"iv, 20 p.; Tables","startPage":"i","endPage":"26","numberOfPages":"30","costCenters":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"links":[{"id":116611,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1076.gif"},{"id":21819,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1076/","linkFileType":{"id":5,"text":"html"}}],"state":"Rhode Island","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -71.8,41.700833333333335 ], [ -71.8,41.93333333333333 ], [ -71,41.93333333333333 ], [ -71,41.700833333333335 ], [ -71.8,41.700833333333335 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b1fe4b07f02db6ab732","contributors":{"authors":[{"text":"Smith, Kirk P. 0000-0003-0269-474X kpsmith@usgs.gov","orcid":"https://orcid.org/0000-0003-0269-474X","contributorId":1516,"corporation":false,"usgs":true,"family":"Smith","given":"Kirk","email":"kpsmith@usgs.gov","middleInitial":"P.","affiliations":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":350543,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Breault, Robert F. 0000-0002-2517-407X rbreault@usgs.gov","orcid":"https://orcid.org/0000-0002-2517-407X","contributorId":2219,"corporation":false,"usgs":true,"family":"Breault","given":"Robert F.","email":"rbreault@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":350544,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70173876,"text":"70173876 - 2011 - Interrelationships between fish tissue mercury concentrations and water quality for South Dakota natural lakes and impoundments","interactions":[],"lastModifiedDate":"2018-02-13T10:31:39","indexId":"70173876","displayToPublicDate":"2011-05-27T10:30:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3728,"text":"Water, Air, & Soil Pollution","onlineIssn":"1573-2932","printIssn":"0049-6979","active":true,"publicationSubtype":{"id":10}},"title":"Interrelationships between fish tissue mercury concentrations and water quality for South Dakota natural lakes and impoundments","docAbstract":"The purpose of this study was to determine whether water quality parameters commonly associated with primary productivity may be used to predict the susceptibility of a specific water body to exceed proposed fish consumption advisory limitation of 0.3 mg kg−1. South Dakota currently has nine lakes and impoundments that exceed fish tissue mercury advisory limits of 1.0 mg kg−1 total mercury, far exceeding US Environmental Protection Agency and Food and Drug Administration 0.3 mg kg−1 consumption criteria. Previous studies suggest that increased aquatic productivity may mitigate the effects of biological production and subsequent uptake of methyl mercury through bio-dilution; however, it is uncertain whether these trends may exist within highly alkaline and highly productive aquatic conditions common to South Dakota lakes and impoundments. Water quality parameters and fish tissue mercury data for northern pike and walleye were collected and assessed using existing South Dakota Department of Environment and Natural Resources and Game Fish and Parks data. The data was initially screened using both parametric linear regression and non-parametric Mann–Whitney rank sum comparisons and further assessed using binary logistic regression and stepwise logistic regression methodology. Three separate phosphorus measurements (total, total dissolved, and Trophic State Index) and pH were determined to significantly correlate with increased mercury concentrations for the northern pike-in-impoundments model. However, phosphorus surprisingly was not a strong predictor for the remaining scenarios modeled. For the northern pike-in-natural lakes models, alkalinity was the most significant water quality parameter predicting increased mercury concentrations. Mercury concentrations for the walleye-in-natural lakes models were further influenced by pH and alkalinity. The water quality and fish tissue mercury interrelationships determined within this study suggest aquatic productivity, and consequential eutrophication processes appear to be reasonable indicators of fish tissue mercury susceptibility for aquatic conditions common to South Dakota and highlight the continuing need to minimize eutrophication through effective watershed management strategies.
","language":"English","publisher":"Spinger","doi":"10.1007/s11270-011-0828-3","usgsCitation":"Chipps, S.R., Stetler, L., Stone, J., and McCutcheon, C.M., 2011, Interrelationships between fish tissue mercury concentrations and water quality for South Dakota natural lakes and impoundments: Water, Air, & Soil Pollution, v. 222, no. 1, p. 337-349, https://doi.org/10.1007/s11270-011-0828-3.","productDescription":"13 p.","startPage":"337","endPage":"349","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-030403","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":323705,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South 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optimal selection of sampling sites for monitoring networks","docAbstract":"Environmental monitoring programs must efficiently describe state shifts. We propose using maximum entropy modeling to select dissimilar sampling sites to capture environmental variability at low cost, and demonstrate a specific application: sample site selection for the Central Plains domain (453,490 km2) of the National Ecological Observatory Network (NEON). We relied on four environmental factors: mean annual temperature and precipitation, elevation, and vegetation type. A “sample site” was defined as a 20 km × 20 km area (equal to NEON’s airborne observation platform [AOP] footprint), within which each 1 km2 cell was evaluated for each environmental factor. After each model run, the most environmentally dissimilar site was selected from all potential sample sites. The iterative selection of eight sites captured approximately 80% of the environmental envelope of the domain, an improvement over stratified random sampling and simple random designs for sample site selection. This approach can be widely used for cost-efficient selection of survey and monitoring sites.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Diversity","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Molecular Diversity Preservation International","doi":"10.3390/d3020252","usgsCitation":"Stohlgren, T.J., Kumar, S., Barnett, D., and Evangelista, P.H., 2011, Using maximum entropy modeling for optimal selection of sampling sites for monitoring networks: Diversity, v. 3, no. 2, p. 252-261, https://doi.org/10.3390/d3020252.","productDescription":"10 p.","startPage":"252","endPage":"261","numberOfPages":"10","costCenters":[],"links":[{"id":475000,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/d3020252","text":"Publisher Index Page"},{"id":291361,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291360,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3390/d3020252"}],"volume":"3","issue":"2","noUsgsAuthors":false,"publicationDate":"2011-05-26","publicationStatus":"PW","scienceBaseUri":"57fe7f64e4b0824b2d1477b4","contributors":{"authors":[{"text":"Stohlgren, Thomas J. 0000-0001-9696-4450 stohlgrent@usgs.gov","orcid":"https://orcid.org/0000-0001-9696-4450","contributorId":2902,"corporation":false,"usgs":true,"family":"Stohlgren","given":"Thomas","email":"stohlgrent@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":497153,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kumar, Sunil","contributorId":84992,"corporation":false,"usgs":true,"family":"Kumar","given":"Sunil","affiliations":[],"preferred":false,"id":497155,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barnett, David T.","contributorId":86234,"corporation":false,"usgs":true,"family":"Barnett","given":"David T.","affiliations":[],"preferred":false,"id":497156,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Evangelista, Paul H.","contributorId":14747,"corporation":false,"usgs":true,"family":"Evangelista","given":"Paul","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":497154,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70210246,"text":"70210246 - 2011 - Evaluation of a gastric radio tag insertion technique for anadromous river herring","interactions":[],"lastModifiedDate":"2020-05-27T12:04:09.552354","indexId":"70210246","displayToPublicDate":"2011-05-26T12:15:47","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of a gastric radio tag insertion technique for anadromous river herring","docAbstract":"Anadromous river herring (alewives Alosa pseudoharengus and blueback herring A. aestivalis ), which constitute a historically and ecologically important component of coastal rivers, have declined precipitously throughout the Atlantic seaboard. Suggested causes of river herring decline include commercial fishing and predation by striped bass Morone saxatilis . Although the causes of this recent trend are poorly understood, river herring are especially vulnerable to adverse impacts during their spring spawning migration. Radiotelemetry is an especially useful method for addressing potential problems encountered during the movement of these fish from the ocean to freshwater. In spite of frequent calls for evaluation of telemetry methods, controlled tests of posttagging effects are rare for alosids and virtually nonexistent for anadromous river herring. We developed a protocol for gastric tagging of anadromous river herring, and we used hatchery and field studies to evaluate behavior, tag placement, stress response, and posttagging mortality. We also compared tagger effects and quantified posttagging upstream movements of fish in the field. In controlled hatchery trials, no fish died at 10 min, 1 h, or 14 d posttagging. No tags were rejected, and only 1 of 35 tags ruptured the gut. In field cages, mortality, plasma cortisol, glucose, and chloride measured at 24 h were similar between tagged and untagged fish. In the field, 12 of 14 fish moved upriver after tagging and spent 114 h on average at upriver sites. Using a variety of approaches, we found no evidence that our tagging protocol adversely affected river herring in comparison with untagged fish that were subjected only to handling and holding. Our protocol, evaluated by comparing responses of tagged and untagged fish under controlled conditions, may be useful in future studies that seek to understand causes of decline for anadromous river herring.
","language":"English","publisher":"American Fisheries Socety","doi":"10.1577/M08-111.1","usgsCitation":"Smith, J.M., Mather, M.E., Frank, H.J., Muth, R.M., Finn, J.T., and McCormick, S.D., 2011, Evaluation of a gastric radio tag insertion technique for anadromous river herring: North American Journal of Fisheries Management, v. 29, p. 367-377, https://doi.org/10.1577/M08-111.1.","productDescription":"11 p.","startPage":"367","endPage":"377","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":502455,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://scholarworks.umass.edu/mie_faculty_pubs/335","text":"External Repository"},{"id":375030,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachuetts","otherGeospatial":"Nemasket River, Ipswich River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -71.224365234375,\n 42.39912215986002\n ],\n [\n -70.477294921875,\n 42.39912215986002\n ],\n [\n -70.477294921875,\n 42.93229601903058\n ],\n [\n -71.224365234375,\n 42.93229601903058\n ],\n [\n -71.224365234375,\n 42.39912215986002\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"29","noUsgsAuthors":false,"publicationDate":"2009-04-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, Joseph M.","contributorId":106712,"corporation":false,"usgs":false,"family":"Smith","given":"Joseph","email":"","middleInitial":"M.","affiliations":[{"id":6932,"text":"University of Massachusetts, Amherst","active":true,"usgs":false},{"id":17855,"text":"School of Aquatic and Fishery Sciences, University of Washington, Seattle, WA","active":true,"usgs":false}],"preferred":false,"id":789739,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mather, Martha E. 0000-0003-3027-0215 mather@usgs.gov","orcid":"https://orcid.org/0000-0003-3027-0215","contributorId":2580,"corporation":false,"usgs":true,"family":"Mather","given":"Martha","email":"mather@usgs.gov","middleInitial":"E.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":789740,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Frank, Holly J.","contributorId":86605,"corporation":false,"usgs":true,"family":"Frank","given":"Holly","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":789741,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Muth, Robert M.","contributorId":41682,"corporation":false,"usgs":true,"family":"Muth","given":"Robert","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":789742,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Finn, John T.","contributorId":78302,"corporation":false,"usgs":true,"family":"Finn","given":"John","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":789743,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McCormick, Stephen D. 0000-0003-0621-6200 smccormick@usgs.gov","orcid":"https://orcid.org/0000-0003-0621-6200","contributorId":139214,"corporation":false,"usgs":true,"family":"McCormick","given":"Stephen","email":"smccormick@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":789744,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70210245,"text":"70210245 - 2011 - The hormonal control of osmoregulation in teleost fish","interactions":[],"lastModifiedDate":"2020-05-26T17:01:08.113026","indexId":"70210245","displayToPublicDate":"2011-05-26T11:50:45","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2617,"text":"Life Sciences","active":true,"publicationSubtype":{"id":10}},"title":"The hormonal control of osmoregulation in teleost fish","docAbstract":"Hormones are critical to the physiological alterations necessary for ion homeostasis when fish move between freshwater and seawater. Cortisol promotes seawater acclimation through differentiation of salt-secreting mitochondrion-rich cells and ion transport proteins in the gill. The growth hormone/insulin-like growth factor I axis is also important in seawater acclimation and acts in synergy with cortisol. Prolactin (PRL) is important in freshwater acclimation through regulation of ion and water permeability in the gill, gut, and kidney. Cortisol also promotes ion uptake and may interact with PRL during freshwater acclimation. For many species of fish, growth hormone promotes acclimation to seawater, PRL promotes acclimation to freshwater, and cortisol interacts with both hormones, thus having a dual osmoregulatory function.
","language":"English","publisher":"Elsevier","doi":"10.1016/B978-0-12-374553-8.00212-4","usgsCitation":"McCormick, S., 2011, The hormonal control of osmoregulation in teleost fish: Life Sciences, v. 1, p. 1466-1473, https://doi.org/10.1016/B978-0-12-374553-8.00212-4.","productDescription":"8 p.","startPage":"1466","endPage":"1473","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":375027,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"McCormick, S. D. 0000-0003-0621-6200","orcid":"https://orcid.org/0000-0003-0621-6200","contributorId":20278,"corporation":false,"usgs":true,"family":"McCormick","given":"S. D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":789736,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70157546,"text":"70157546 - 2011 - Planned updates and refinements to the Central Valley hydrologic model with an emphasis on improving the simulation of land subsidence in the San Joaquin Valley","interactions":[],"lastModifiedDate":"2021-11-09T17:55:54.596127","indexId":"70157546","displayToPublicDate":"2011-05-26T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Planned updates and refinements to the Central Valley hydrologic model with an emphasis on improving the simulation of land subsidence in the San Joaquin Valley","docAbstract":"California's Central Valley has been one of the most productive agricultural regions in the world for more than 50 years. To better understand the groundwater availability in the valley, the U.S. Geological Survey (USGS) developed the Central Valley hydrologic model (CVHM). Because of recent water-level declines and renewed subsidence, the CVHM is being updated to better simulate the geohydrologic system. The CVHM updates and refinements can be grouped into two general categories: (1) model code changes and (2) data updates. The CVHM updates and refinements will require that the model be recalibrated. The updated CVHM will provide a detailed transient analysis of changes in groundwater availability and flow paths in relation to climatic variability, urbanization, stream flow, and changes in irrigated agricultural practices and crops. The updated CVHM is particularly focused on more accurately simulating the locations and magnitudes of land subsidence. The intent of the updated CVHM is to help scientists better understand the availability and sustainability of water resources and the interaction of groundwater levels with land subsidence.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"World environmental and water resources congress 2011: Bearing knowledge for sustainability","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"World Environmental and Water Resources Congress 2011","conferenceDate":"May 22-26 2011","conferenceLocation":"Palm Springs, California","language":"English","publisher":"American Society of Civil Engineers","doi":"10.1061/41173(414)88","usgsCitation":"Faunt, C., Hanson, R.T., Martin, P., and Schmid, W., 2011, Planned updates and refinements to the Central Valley hydrologic model with an emphasis on improving the simulation of land subsidence in the San Joaquin Valley, in World environmental and water resources congress 2011: Bearing knowledge for sustainability, Palm Springs, California, May 22-26 2011, p. 864-870, https://doi.org/10.1061/41173(414)88.","productDescription":"7 p.","startPage":"864","endPage":"870","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-026942","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":308612,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Joaquin Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.11376953125,\n 35.17380831799959\n ],\n [\n -118.47656249999999,\n 36.35052700542763\n ],\n [\n -120.76171875,\n 38.87392853923629\n ],\n [\n -121.728515625,\n 40.17887331434696\n ],\n [\n -122.32177734375,\n 40.48038142908172\n ],\n [\n -122.56347656249999,\n 39.57182223734374\n ],\n [\n -121.6845703125,\n 37.94419750075404\n ],\n [\n -120.10253906249999,\n 36.01356058518153\n ],\n [\n -119.11376953125,\n 35.17380831799959\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2012-04-26","publicationStatus":"PW","scienceBaseUri":"56067036e4b058f706e51945","contributors":{"authors":[{"text":"Faunt, Claudia C. 0000-0001-5659-7529 ccfaunt@usgs.gov","orcid":"https://orcid.org/0000-0001-5659-7529","contributorId":1491,"corporation":false,"usgs":true,"family":"Faunt","given":"Claudia C.","email":"ccfaunt@usgs.gov","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":573555,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hanson, Randall T. 0000-0002-9819-7141 rthanson@usgs.gov","orcid":"https://orcid.org/0000-0002-9819-7141","contributorId":801,"corporation":false,"usgs":true,"family":"Hanson","given":"Randall","email":"rthanson@usgs.gov","middleInitial":"T.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":573556,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Martin, Peter pmmartin@usgs.gov","contributorId":799,"corporation":false,"usgs":true,"family":"Martin","given":"Peter","email":"pmmartin@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":573557,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schmid, Wolfgang","contributorId":84020,"corporation":false,"usgs":false,"family":"Schmid","given":"Wolfgang","affiliations":[{"id":13040,"text":"Department of Hydrology and Water Resources, University of Arizona","active":true,"usgs":false}],"preferred":false,"id":573558,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70173710,"text":"70173710 - 2011 - Mechanisms influencing changes in lake area in Alaskan boreal forest","interactions":[],"lastModifiedDate":"2016-06-22T14:42:07","indexId":"70173710","displayToPublicDate":"2011-05-25T06:30:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Mechanisms influencing changes in lake area in Alaskan boreal forest","docAbstract":"During the past ∼50 years, the number and area of lakes have declined in several regions in boreal forests. However, there has been substantial finer-scale heterogeneity; some lakes decreased in area, some showed no trend, and others increased. The objective of this study was to identify the primary mechanisms underlying heterogeneous trends in closed-basin lake area. Eight lake characteristics (δ18O, electrical conductivity, surface : volume index, bank slope, floating mat width, peat depth, thaw depth at shoreline, and thaw depth at the forest boundary) were compared for 15 lake pairs in Alaskan boreal forest where one lake had decreased in area since ∼1950, and the other had not. Mean differences in characteristics between paired lakes were used to identify the most likely of nine mechanistic scenarios that combined three potential mechanisms for decreasing lake area (talik drainage, surface water evaporation, and terrestrialization) with three potential mechanisms for nondecreasing lake area (subpermafrost groundwater recharge through an open talik, stable permafrost, and thermokarst). A priori expectations of the direction of mean differences between decreasing and nondecreasing paired lakes were generated for each scenario. Decreasing lakes had significantly greater electrical conductivity, greater surface : volume indices, shallower bank slopes, wider floating mats, greater peat depths, and shallower thaw depths at the forest boundary. These results indicated that the most likely scenario was terrestrialization as the mechanism for lake area reduction combined with thermokarst as the mechanism for nondecreasing lake area. Terrestrialization and thermokarst may have been enhanced by recent warming which has both accelerated permafrost thawing and lengthened the growing season, thereby increasing plant growth, floating mat encroachment, transpiration rates, and the accumulation of organic matter in lake basins. The transition to peatlands associated with terrestrialization may provide a transient increase in carbon storage enhancing the role of northern ecosystems as major stores of global carbon.
","language":"English","publisher":"Blackwell Science","doi":"10.1111/j.1365-2486.2011.02446.x","usgsCitation":"Roach, J., Griffith, B., Verbyla, D., and Jones, J.B., 2011, Mechanisms influencing changes in lake area in Alaskan boreal forest: Global Change Biology, v. 17, no. 8, p. 2567-2583, https://doi.org/10.1111/j.1365-2486.2011.02446.x.","productDescription":"17 p.","startPage":"2567","endPage":"2583","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-022219","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":324242,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -158.9501953125,\n 62.85514553774182\n ],\n [\n -158.9501953125,\n 66.87834504307976\n ],\n [\n -142.294921875,\n 66.87834504307976\n ],\n [\n -142.294921875,\n 62.85514553774182\n ],\n [\n -158.9501953125,\n 62.85514553774182\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"17","issue":"8","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2011-05-25","publicationStatus":"PW","scienceBaseUri":"576bb6b8e4b07657d1a22902","contributors":{"authors":[{"text":"Roach, Jennifer K.","contributorId":30861,"corporation":false,"usgs":true,"family":"Roach","given":"Jennifer K.","affiliations":[],"preferred":false,"id":640410,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Griffith, Brad 0000-0001-8698-6859","orcid":"https://orcid.org/0000-0001-8698-6859","contributorId":82571,"corporation":false,"usgs":true,"family":"Griffith","given":"Brad","email":"","affiliations":[{"id":108,"text":"Alaska Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"preferred":true,"id":640411,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Verbyla, David","contributorId":87795,"corporation":false,"usgs":true,"family":"Verbyla","given":"David","affiliations":[],"preferred":false,"id":640412,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jones, Jeremy B.","contributorId":113650,"corporation":false,"usgs":true,"family":"Jones","given":"Jeremy","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":640413,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":99284,"text":"ofr20111125 - 2011 - Threats of habitat and water-quality degradation to mussel diversity in the Meramec River Basin, Missouri, USA","interactions":[],"lastModifiedDate":"2019-07-09T15:47:36","indexId":"ofr20111125","displayToPublicDate":"2011-05-25T00:00:00","publicationYear":"2011","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":"2011-1125","title":"Threats of habitat and water-quality degradation to mussel diversity in the Meramec River Basin, Missouri, USA","docAbstract":"The Meramec River Basin in east-central Missouri is an important stronghold for native freshwater mussels (Order: Unionoida) in the United States. Whereas the basin supports more than 40 mussel species, previous studies indicate that the abundance and distribution of most species are declining. Therefore, resource managers have identified the need to prioritize threats to native mussel populations in the basin and to design a mussel monitoring program. The objective of this study was to identify threats of habitat and water-quality degradation to mussel diversity in the basin. Affected habitat parameters considered as the main threats to mussel conservation included excess sedimentation, altered stream geomorphology and flow, effects on riparian vegetation and condition, impoundments, and invasive non-native species. Evaluating water-quality parameters for conserving mussels was a main focus of this study. Mussel toxicity data for chemical contaminants were compared to national water quality criteria (NWQC) and Missouri water quality standards (MWQS). However, NWQC and MWQS have not been developed for many chemical contaminants and some MWQS may not be protective of native mussel populations. Toxicity data indicated that mussels are sensitive to ammonia, copper, temperature, certain pesticides, pharmaceuticals, and personal care products; these compounds were identified as the priority water-quality parameters for mussel conservation in the basin. Measures to conserve mussel diversity in the basin include expanding the species and life stages of mussels and the list of chemical contaminants that have been assessed, establishing a long term mussel monitoring program that measures physical and chemical parameters of high priority, conducting landscape scale modeling to predict mussel distributions, determining sublethal effects of primary contaminants of concern, deriving risk-based guidance values for mussel conservation, and assessing the effects of wastewater treatment plants and non-point source pollution on mussels. A critical next step to further prioritize these needs is to conduct a watershed risk assessment using local data (for example, land use, flow) when available.\r\n","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111125","collaboration":"A report to the Missouri Department of Conservation","usgsCitation":"Hinck, J.E., Ingersoll, C.G., Wang, N., Augspurger, T., Barnhart, M., McMurray, S., Roberts, A.D., and Schrader, L., 2011, Threats of habitat and water-quality degradation to mussel diversity in the Meramec River Basin, Missouri, USA: U.S. Geological Survey Open-File Report 2011-1125, vi, 18 p., https://doi.org/10.3133/ofr20111125.","productDescription":"vi, 18 p.","additionalOnlineFiles":"N","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":116647,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1125.jpg"},{"id":204783,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1125/","linkFileType":{"id":5,"text":"html"}},{"id":334505,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2011/1125/pdf/of2011_1125.pdf","size":"529 kB","linkFileType":{"id":1,"text":"pdf"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92,37.25 ], [ -92,38.75 ], [ -90,38.75 ], [ -90,37.25 ], [ -92,37.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a54e4b07f02db62bc58","contributors":{"authors":[{"text":"Hinck, Jo Ellen 0000-0002-4912-5766","orcid":"https://orcid.org/0000-0002-4912-5766","contributorId":38507,"corporation":false,"usgs":true,"family":"Hinck","given":"Jo","email":"","middleInitial":"Ellen","affiliations":[],"preferred":false,"id":307998,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ingersoll, Christopher G. 0000-0003-4531-5949 cingersoll@usgs.gov","orcid":"https://orcid.org/0000-0003-4531-5949","contributorId":2071,"corporation":false,"usgs":true,"family":"Ingersoll","given":"Christopher","email":"cingersoll@usgs.gov","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":307995,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wang, Ning 0000-0002-2846-3352 nwang@usgs.gov","orcid":"https://orcid.org/0000-0002-2846-3352","contributorId":2818,"corporation":false,"usgs":true,"family":"Wang","given":"Ning","email":"nwang@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":307996,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Augspurger, Tom","contributorId":63921,"corporation":false,"usgs":true,"family":"Augspurger","given":"Tom","affiliations":[],"preferred":false,"id":308001,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Barnhart, M. 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Social and environmental issues related to sustainable development have had a significant effect on the North American iron ore industry.
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We developed an extension of Royle and Kéry's (2007) single species model to estimate simultaneously temporal changes in probabilities of detection, occupancy, colonization, extinction, and species turnover using data on calling anuran amphibians, collected from 2002 to 2006 in the Lower Mississippi Alluvial Valley of Louisiana, USA. During our 5-year study, estimates of occurrence probabilities declined for all 12 species detected. These declines occurred primarily in conjunction with variation in estimates of local extinction probabilities (cajun chorus frog [Pseudacris fouquettei], spring peeper [P. crucifer], northern cricket frog [Acris crepitans], Cope's gray treefrog [Hyla chrysoscelis], green treefrog [H. cinerea], squirrel treefrog [H. squirella], southern leopard frog [Lithobates sphenocephalus], bronze frog [L. clamitans], American bullfrog [L. catesbeianus], and Fowler's toad [Anaxyrus fowleri]). For 2 species (eastern narrowmouthed toad [Gastrophryne carolinensis] and Gulf Coast toad [Incilius nebulifer]), declines in occupancy appeared to be a consequence of both increased local extinction and decreased colonization events. The eastern narrow-mouthed toad experienced a 2.5-fold increase in estimates of occupancy in 2004, possibly because of the high amount of rainfall received during that year, along with a decrease in extinction and increase in colonization of new sites between 2003 and 2004. Our model can be incorporated into monitoring programs to estimate simultaneously the occupancy dynamics for multiple species that show similar responses to ecological conditions. It will likely be an important asset for those monitoring programs that employ the same methods to sample assemblages of ecologically similar species, including those that are rare. By combining information from multiple species to decrease the variance on estimates of individual species, our results are advantageous compared to single-species models. This feature enables managers and researchers to use an entire community, rather than just one species, as an ecological indicator in monitoring programs.","language":"English","publisher":"Wildlife Society","doi":"10.1002/jwmg.97","usgsCitation":"Walls, S., Waddle, J., and Dorazio, R.M., 2011, Estimating occupancy dynamics in an anuran assemblage from Louisiana, USA: Journal of Wildlife Management, v. 75, no. 4, p. 751-761, https://doi.org/10.1002/jwmg.97.","productDescription":"11 p.","startPage":"751","endPage":"761","temporalStart":"2002-01-01","temporalEnd":"2006-12-31","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":204251,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","otherGeospatial":"Atchafalaya Basin, Lower Mississippi Alluvial Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.8731689453125,\n 29.89304338543419\n ],\n [\n -91.8731689453125,\n 30.576450026618076\n ],\n [\n -91.373291015625,\n 30.576450026618076\n ],\n [\n -91.373291015625,\n 29.89304338543419\n ],\n [\n -91.8731689453125,\n 29.89304338543419\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"75","issue":"4","noUsgsAuthors":false,"publicationDate":"2011-05-25","publicationStatus":"PW","scienceBaseUri":"4f4e4a0ce4b07f02db5fc9db","contributors":{"authors":[{"text":"Walls, Susan C. 0000-0001-7391-9155","orcid":"https://orcid.org/0000-0001-7391-9155","contributorId":52284,"corporation":false,"usgs":true,"family":"Walls","given":"Susan C.","affiliations":[],"preferred":false,"id":352105,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Waddle, J. Hardin 0000-0003-1940-2133","orcid":"https://orcid.org/0000-0003-1940-2133","contributorId":89982,"corporation":false,"usgs":true,"family":"Waddle","given":"J. Hardin","affiliations":[],"preferred":false,"id":352106,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dorazio, Robert M. 0000-0003-2663-0468 bob_dorazio@usgs.gov","orcid":"https://orcid.org/0000-0003-2663-0468","contributorId":1668,"corporation":false,"usgs":true,"family":"Dorazio","given":"Robert","email":"bob_dorazio@usgs.gov","middleInitial":"M.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":352104,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70035058,"text":"70035058 - 2011 - Modelling the distribution of domestic ducks in Monsoon Asia","interactions":[],"lastModifiedDate":"2024-10-01T13:29:18.617101","indexId":"70035058","displayToPublicDate":"2011-05-24T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":682,"text":"Agriculture, Ecosystems and Environment","active":true,"publicationSubtype":{"id":10}},"title":"Modelling the distribution of domestic ducks in Monsoon Asia","docAbstract":"Domestic ducks are considered to be an important reservoir of highly pathogenic avian influenza (HPAI), as shown by a number of geospatial studies in which they have been identified as a significant risk factor associated with disease presence. Despite their importance in HPAI epidemiology, their large-scale distribution in Monsoon Asia is poorly understood. In this study, we created a spatial database of domestic duck census data in Asia and used it to train statistical distribution models for domestic duck distributions at a spatial resolution of 1 km. The method was based on a modelling framework used by the Food and Agriculture Organisation to produce the Gridded Livestock of the World (GLW) database, and relies on stratified regression models between domestic duck densities and a set of agro-ecological explanatory variables. We evaluated different ways of stratifying the analysis and of combining the prediction to optimize the goodness of fit of the predictions. We found that domestic duck density could be predicted with reasonable accuracy (mean RMSE and correlation coefficient between log-transformed observed and predicted densities being 0.58 and 0.80, respectively), using a stratification based on livestock production systems. We tested the use of artificially degraded data on duck distributions in Thailand and Vietnam as training data, and compared the modelled outputs with the original high-resolution data. This showed, for these two countries at least, that these approaches could be used to accurately disaggregate provincial level (administrative level 1) statistical data to provide high resolution model distributions.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.agee.2011.04.013","issn":"01678809","usgsCitation":"Van Boeckel, T., Prosser, D.J., Franceschini, G., Biradar, C., Wint, W., Robinson, T., and Gilbert, M., 2011, Modelling the distribution of domestic ducks in Monsoon Asia: Agriculture, Ecosystems and Environment, v. 141, no. 3-4, p. 373-380, https://doi.org/10.1016/j.agee.2011.04.013.","productDescription":"8 p.","startPage":"373","endPage":"380","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":475001,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/3148691","text":"External Repository"},{"id":381244,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.er.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"141","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5c77e4b0c8380cd6fcff","contributors":{"authors":[{"text":"Van Boeckel, T.P.","contributorId":97342,"corporation":false,"usgs":false,"family":"Van Boeckel","given":"T.P.","affiliations":[],"preferred":false,"id":449081,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Prosser, Diann J. 0000-0002-5251-1799 dprosser@usgs.gov","orcid":"https://orcid.org/0000-0002-5251-1799","contributorId":2389,"corporation":false,"usgs":true,"family":"Prosser","given":"Diann","email":"dprosser@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":449075,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Franceschini, G.","contributorId":73030,"corporation":false,"usgs":true,"family":"Franceschini","given":"G.","email":"","affiliations":[],"preferred":false,"id":449080,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Biradar, C.","contributorId":44377,"corporation":false,"usgs":true,"family":"Biradar","given":"C.","email":"","affiliations":[],"preferred":false,"id":449078,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wint, W.","contributorId":24588,"corporation":false,"usgs":true,"family":"Wint","given":"W.","affiliations":[],"preferred":false,"id":449076,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Robinson, T.","contributorId":26154,"corporation":false,"usgs":true,"family":"Robinson","given":"T.","affiliations":[],"preferred":false,"id":449077,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gilbert, M.","contributorId":57810,"corporation":false,"usgs":true,"family":"Gilbert","given":"M.","affiliations":[],"preferred":false,"id":449079,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":99282,"text":"sim3036 - 2011 - Surficial geologic map of the Noatak National Preserve, Alaska","interactions":[],"lastModifiedDate":"2022-04-15T18:34:54.713238","indexId":"sim3036","displayToPublicDate":"2011-05-24T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3036","title":"Surficial geologic map of the Noatak National Preserve, Alaska","docAbstract":"The surficial geologic map of the Noatak National Preserve (NNP) is a compilation that incorporates portions of four published USGS maps (Hamilton, 1980, 1981, 1984a,b), a USGS Open-File Report (Hamilton, 2003), and unpublished field mapping. It covers an area of about 28,700 km2, and includes parts of eight 1:250,000-scale quadrangles. The mapped area generally terminates at NNP boundaries, which generally follow the sharp divides that separate the Noatak drainage system from north-flowing drainages of the Alaskan North Slope and south-flowing tributaries to the Kobuk River. The mapping extends short distances beyond those boundaries where passes across divides were traversed by glaciers issuing from the Noatak drainage or by overflow waters from glacial lakes. Along the western edge of the map, where the NNP boundary is unrelated to topographic features, I have extended the mapping to the nearest natural boundary, the active channel of the Noatak River, and have mapped beyond that limit only in places where surficial deposits are essential for understanding regional geology.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sim3036","collaboration":"In cooperation with the National Park Service","usgsCitation":"Hamilton, T.D., 2011, Surficial geologic map of the Noatak National Preserve, Alaska: U.S. Geological Survey Scientific Investigations Map 3036, Pamphlet: iii, 21 p.; 1 Plate: 50.00 × 39.00 inches; Readme; Metadata, https://doi.org/10.3133/sim3036.","productDescription":"Pamphlet: iii, 21 p.; 1 Plate: 50.00 × 39.00 inches; Readme; Metadata","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":116210,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim_3036.jpg"},{"id":398851,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_95204.htm"},{"id":204781,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3036/","linkFileType":{"id":5,"text":"html"}}],"scale":"250000","country":"United States","state":"Alaska","otherGeospatial":"Noatak National Preserve","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -163.1033,\n 67\n ],\n [\n -155.8636,\n 67\n ],\n [\n -155.8636,\n 68.6486\n ],\n [\n -163.1033,\n 68.6486\n ],\n [\n -163.1033,\n 67\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae2e4b07f02db688d7b","contributors":{"authors":[{"text":"Hamilton, Thomas D.","contributorId":91474,"corporation":false,"usgs":true,"family":"Hamilton","given":"Thomas","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":307987,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":99283,"text":"sim3121 - 2011 - Geologic map of the Ganiki Planitia quadrangle (V-14), Venus","interactions":[],"lastModifiedDate":"2023-03-16T10:55:03.655596","indexId":"sim3121","displayToPublicDate":"2011-05-24T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3121","title":"Geologic map of the Ganiki Planitia quadrangle (V-14), Venus","docAbstract":"The Ganiki Planitia (V-14) quadrangle on Venus, which extends from 25° N. to 50° N. and from 180° E. to 210° E., derives its name from the extensive suite of plains that dominates the geology of the northern part of the region. With a surface area of nearly 6.5 x 106 km2 (roughly two-thirds that of the United States), the quadrangle is located northwest of the Beta-Atla-Themis volcanic zone and southeast of the Atalanta Planitia lowlands, areas proposed to be the result of large scale mantle upwelling and downwelling, respectively. The region immediately south of Ganiki Planitia is dominated by Atla Regio, a major volcanic rise beneath which localized upwelling appears to be ongoing, whereas the area just to the north is dominated by the orderly system of north-trending deformation belts that characterize Vinmara Planitia. The Ganiki Planitia quadrangle thus lies at the intersection between several physiographic regions where extensive mantle flow-induced tectonic and volcanic processes are thought to have occurred.\r\nThe geology of the V-14 quadrangle is characterized by a complex array of volcanic, tectonic, and impact-derived features. There are eleven impact craters with diameters from 4 to 64 km, as well as four diffuse 'splotch' features interpreted to be the product of near-surface bolide explosions. Tectonic activity has produced heavily deformed tesserae, belts of complex deformation and rifts as well as a distributed system of fractures and wrinkle ridges. Volcanic activity has produced extensive regional plains deposits, and in the northwest corner of the quadrangle these plains host the initial (or terminal) 700 km of the Baltis Vallis canali, an enigmatic volcanic feature with a net length of ~7,000 km that is the longest channel on Venus. Major volcanic centers in V-14 include eight large volcanoes and eight coronae; all but one of these sixteen features was noted during a previous global survey. The V-14 quadrangle contains an abundance of minor volcanic features including individual shield volcanoes and localized fissure eruptions as well as many small annular structures and domes, which often serve as the source for local lava flows.\r\nThe topographic and geophysical characteristics of the Ganiki Planitia quadrangle are less complex than the surface geology, but they yield equally valuable information about the region’s formation and evolution. Referenced to the mean planetary radius of 6051.84 km, the average elevation in the quadrangle is -0.26±0.86 km (2σ) with a full range of -2.58 km to 1.85 km. The highest 2.5 percent of elevations in the quadrangle (above 0.60 km) are associated primarily with the major tessera blocks and the peaks of a few volcanic edifices, whereas the lowest 2.5 percent (below -1.12 km) mostly occur within corona interiors and in the northwest corner of the quadrangle where the plains begin to merge into the Atalanta Planitia lowlands. At the ~4.6 km/pixel scale of the topography data, the mean point-to-point topographic slope is 0.63° and topographic slopes greater than 2° cover less than 5 percent of the region. Overall, the topography of the Ganiki Planitia quadrangle can be characterized as flat, low lying, and nearly devoid of abrupt topographic variation. Complementing this gentle topography, the geoid anomaly has a generally linear gradient that decreases north-northwest from a high of ~20 m at the southern edge of the quadrangle (the northern border of the Atla Regio anomaly) to a low of -30 to -40 m along the northern edge (Konopliv and others, 1999). The vertical component of the gravity anomaly varies from ~50 mGal to -40 mGal, and integrated analysis of the gravity and topography data indicates that dynamically supported regions and areas of thickened crust are both present within the quadrangle.\r\nBecause the Ganiki Planitia quadrangle is a plains-dominated lowland area that lies between several major physiographic provinces (namely, Atla Regio, Atalanta Planitia, and Vinmara Planitia), a geologic map of the region may yield insight into a wide array of important problems in Venusian geology. The current mapping effort and analysis complements previous efforts to characterize aspects of the region’s geology, for example stratigraphy near parabolic halo crater sites, volcanic plains emplacement, wrinkle ridges, volcanic feature distribution, volcano deformation, coronae characteristics, lithospheric flexure, and various features along a 30±7.58° N. geotraverse. Our current research focuses on addressing four specific questions. Has the dominant style of volcanic expression within the quadrangle varied in a systematic fashion over time? Does the tectonic deformation within the quadrangle record significant regional patterns that vary spatially or temporally, and if so what are the scales, orientations and sources of the stress fields driving this deformation? If mantle upwelling and downwelling have played a significant role in the formation of Atla Regio and Atalanta Planitia as has been proposed, does the geology of Ganiki Planitia record evidence of northwest-directed lateral mantle flow connecting the two sites? Finally, can integration of the tectonic and volcanic histories preserved within the quadrangle help constrain competing resurfacing models for Venus?","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sim3121","collaboration":"Prepared for the National Aeronautics and Space Administration","usgsCitation":"Grosfils, E.B., Long, S.M., Venechuk, E.M., Hurwitz, D.M., Richards, J.W., Drury, D.E., and Hardin, J., 2011, Geologic map of the Ganiki Planitia quadrangle (V-14), Venus: U.S. Geological Survey Scientific Investigations Map 3121, Map: 43.86 inches x 36.87 inches; Pamphlet: ii, 30 p., https://doi.org/10.3133/sim3121.","productDescription":"Map: 43.86 inches x 36.87 inches; Pamphlet: ii, 30 p.","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":116211,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim_3121.jpg"},{"id":204782,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3121/","linkFileType":{"id":5,"text":"html"}},{"id":414265,"rank":3,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://doi.org/10.5066/P9NSC8UY","text":"Interactive map","linkHelpText":"- Geologic Map of the Ganiki Planitia Quadrangle (V-14) of Venus, 1:5M. Grosfils and others (2011)"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4afee4b07f02db697873","contributors":{"authors":[{"text":"Grosfils, Eric B.","contributorId":27752,"corporation":false,"usgs":true,"family":"Grosfils","given":"Eric","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":307989,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Long, Sylvan M.","contributorId":14699,"corporation":false,"usgs":true,"family":"Long","given":"Sylvan","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":307988,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Venechuk, Elizabeth M.","contributorId":50053,"corporation":false,"usgs":true,"family":"Venechuk","given":"Elizabeth","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":307991,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hurwitz, Debra M.","contributorId":43614,"corporation":false,"usgs":true,"family":"Hurwitz","given":"Debra","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":307990,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Richards, Joseph W.","contributorId":94926,"corporation":false,"usgs":true,"family":"Richards","given":"Joseph","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":307994,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Drury, Dorothy E.","contributorId":69425,"corporation":false,"usgs":true,"family":"Drury","given":"Dorothy","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":307993,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hardin, Johanna","contributorId":58151,"corporation":false,"usgs":true,"family":"Hardin","given":"Johanna","email":"","affiliations":[],"preferred":false,"id":307992,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ]}