{"pageNumber":"912","pageRowStart":"22775","pageSize":"25","recordCount":184617,"records":[{"id":70195641,"text":"70195641 - 2017 - Reproductive success of Mariana swiftlets (Aerodramus bartschi) on the Hawaiian island of O'ahu","interactions":[],"lastModifiedDate":"2018-02-24T10:50:07","indexId":"70195641","displayToPublicDate":"2017-12-31T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2284,"text":"Journal of Field Ornithology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Reproductive success of Mariana swiftlets (<i>Aerodramus bartschi</i>) on the Hawaiian island of O'ahu","title":"Reproductive success of Mariana swiftlets (Aerodramus bartschi) on the Hawaiian island of O'ahu","docAbstract":"<p>Mariana Swiftlets (<i>Aerodramus bartschi</i>) are federally listed as endangered, with populations currently limited to just three islands in the Mariana Islands plus an introduced population on the Hawaiian island of O'ahu. Before efforts are made to reintroduce Mariana Swiftlets to other islands in the Mariana archipelago, additional information is needed concerning their breeding biology. Therefore, our objective was to examine the reproductive biology of Mariana Swiftlets over five annual cycles on the Hawaiian island of O'ahu. This introduced population used a human-made tunnel for roosting and nesting, and was studied as a surrogate to negate interference with endangered populations in the Mariana Islands. Active nests (<i>N&nbsp;</i>=<i>&nbsp;</i>478) were observed in every month of the year, with peak nesting activity between May and September. All clutches consisted of one egg. Mean duration of incubation and nestling periods were 23.9&nbsp;d (range&nbsp;=&nbsp;18–30&nbsp;d, <i>N&nbsp;</i>=<i>&nbsp;</i>233) and 55.0&nbsp;d (range&nbsp;=&nbsp;41–84&nbsp;d, <i>N&nbsp;</i>=<i>&nbsp;</i>228), respectively. Estimated nest success was 63%. Over half (52%) of nest failures were attributed to eggs found on the tunnel floor. Predation by rats (<i>Rattus</i> spp.) was also an important cause of nest failure and often resulted in the loss of most active nests. However, Mariana Swiftlets did re-nest after these predation events. Our results suggest that rat predation of both nests and adults may limit growth of the Mariana Swiftlet population on O'ahu, and could also affect the chances for successful establishment of relocated populations in the Mariana Islands. Another limiting factor on O'ahu is that only one nesting site is apparently available on the island. Current goals for downlisting Mariana Swiftlets from endangered to threatened include establishing populations on Guam, Rota, Aguiguan, and Saipan. To meet these goals, the population of Mariana Swiftlets on O'ahu can be important for testing reintroduction techniques, learning more about the natural history of these swiftlets, and providing individuals for reintroduction efforts in the Mariana Islands.</p>","language":"English","publisher":"Wiley","doi":"10.1111/jofo.12236","usgsCitation":"Johnson, N.C., Haig, S.M., Mosher, S.M., and Hollenbeck, J.P., 2017, Reproductive success of Mariana swiftlets (Aerodramus bartschi) on the Hawaiian island of O'ahu: Journal of Field Ornithology, v. 88, no. 4, p. 362-373, https://doi.org/10.1111/jofo.12236.","productDescription":"12 p.","startPage":"362","endPage":"373","ipdsId":"IP-080242","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":438118,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7T43S1J","text":"USGS data release","linkHelpText":"Nest success and predation data for Mariana swiftlets (Aerodramus bartschi), Hawai'i, USA, 2006-2011"},{"id":351981,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawai'i","otherGeospatial":"O'ahu","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -158.35418701171875,\n              21.128059607618706\n            ],\n            [\n              -157.58789062499997,\n              21.128059607618706\n            ],\n            [\n              -157.58789062499997,\n              21.785006291915956\n            ],\n            [\n              -158.35418701171875,\n              21.785006291915956\n            ],\n            [\n              -158.35418701171875,\n              21.128059607618706\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"88","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-12-15","publicationStatus":"PW","scienceBaseUri":"5afee789e4b0da30c1bfc2e6","contributors":{"authors":[{"text":"Johnson, Nathan C. ncjohnson@usgs.gov","contributorId":196296,"corporation":false,"usgs":true,"family":"Johnson","given":"Nathan","email":"ncjohnson@usgs.gov","middleInitial":"C.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":false,"id":729529,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haig, Susan M. 0000-0002-6616-7589 susan_haig@usgs.gov","orcid":"https://orcid.org/0000-0002-6616-7589","contributorId":719,"corporation":false,"usgs":true,"family":"Haig","given":"Susan","email":"susan_haig@usgs.gov","middleInitial":"M.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":729528,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mosher, Stephen M.","contributorId":202753,"corporation":false,"usgs":false,"family":"Mosher","given":"Stephen","email":"","middleInitial":"M.","affiliations":[{"id":36522,"text":"U.S. Navy","active":true,"usgs":false}],"preferred":false,"id":729530,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hollenbeck, Jeff P. 0000-0001-6481-5354 jhollenbeck@usgs.gov","orcid":"https://orcid.org/0000-0001-6481-5354","contributorId":5130,"corporation":false,"usgs":true,"family":"Hollenbeck","given":"Jeff","email":"jhollenbeck@usgs.gov","middleInitial":"P.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":729531,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70196903,"text":"70196903 - 2017 - Analysis of the age and paleomagnetic orientation of the Broadwell Mesa Basalt, Bristol Mountains, CA","interactions":[],"lastModifiedDate":"2019-06-13T10:32:18","indexId":"70196903","displayToPublicDate":"2017-12-31T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Analysis of the age and paleomagnetic orientation of the Broadwell Mesa Basalt, Bristol Mountains, CA","docAbstract":"To add to the regional paleomagnetic data documenting block rotation in eastern California, we determined the age and paleomagnetic rotation of the Broadwell Mesa basalt, a basalt in the Bristol Mountains, CA as part of an effort to constrain the timing and rotation of blocks adjacent to the fault. The east-striking sinistral Broadwell Mesa fault cuts and separates the basalt into two outcrops. An 40Ar/39Ar  date from the northern outcrop yields an age of 5.46 ± 0.04 Ma. Two sites consisting of 40 paleomagnetic cores from the basalt indicate the basalt is reversely magnetized and that there has been no significant rotation (< 11º) between the two basalt outcrops.","largerWorkTitle":"ECSZ Does It: Revisiting the Eastern California Shear Zone","conferenceTitle":"2017 Desert Symposium","conferenceDate":"April 2017","conferenceLocation":"Zzyzx, CA","language":"English","publisher":"Desert Studies Center, California State University at Fullerton","usgsCitation":"Phelps, G., Hillhouse, J., Fleck, R.J., Miller, D., Buesch, D.C., Cyr, A.J., and Schmidt, K.M., 2017, Analysis of the age and paleomagnetic orientation of the Broadwell Mesa Basalt, Bristol Mountains, CA, <i>in</i> ECSZ Does It: Revisiting the Eastern California Shear Zone, Zzyzx, CA, April 2017, p. 97-102.","productDescription":"6 p.","startPage":"97","endPage":"102","ipdsId":"IP-084405","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":354100,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":354027,"type":{"id":15,"text":"Index Page"},"url":"https://www.desertsymposium.org/About.html"}],"country":"United States","state":"California","city":"ZZyzx","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.02783203125,\n              44.1151978766043\n            ],\n            [\n              -109.94293212890625,\n              44.1151978766043\n            ],\n            [\n              -109.94293212890625,\n              44.88895839978044\n            ],\n            [\n              -111.02783203125,\n              44.88895839978044\n            ],\n            [\n              -111.02783203125,\n              44.1151978766043\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -116.27243041992188,\n              35.04798673426734\n            ],\n            [\n              -115.99777221679686,\n              35.04798673426734\n            ],\n            [\n              -115.99777221679686,\n              35.280379599547345\n            ],\n            [\n              -116.27243041992188,\n              35.280379599547345\n            ],\n            [\n              -116.27243041992188,\n              35.04798673426734\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee789e4b0da30c1bfc2e0","contributors":{"authors":[{"text":"Phelps, Geoffrey 0000-0003-1958-2736 gphelps@usgs.gov","orcid":"https://orcid.org/0000-0003-1958-2736","contributorId":127489,"corporation":false,"usgs":true,"family":"Phelps","given":"Geoffrey","email":"gphelps@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":734960,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hillhouse, John 0000-0002-1371-4622","orcid":"https://orcid.org/0000-0002-1371-4622","contributorId":204776,"corporation":false,"usgs":true,"family":"Hillhouse","given":"John","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":734966,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fleck, Robert J. 0000-0002-3149-8249 fleck@usgs.gov","orcid":"https://orcid.org/0000-0002-3149-8249","contributorId":1048,"corporation":false,"usgs":true,"family":"Fleck","given":"Robert","email":"fleck@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":734963,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miller, David M. 0000-0003-3711-0441 dmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-3711-0441","contributorId":140769,"corporation":false,"usgs":true,"family":"Miller","given":"David M.","email":"dmiller@usgs.gov","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":734964,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Buesch, David C. 0000-0002-4978-5027 dbuesch@usgs.gov","orcid":"https://orcid.org/0000-0002-4978-5027","contributorId":1154,"corporation":false,"usgs":true,"family":"Buesch","given":"David","email":"dbuesch@usgs.gov","middleInitial":"C.","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":734965,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cyr, Andrew J. 0000-0003-2293-5395 acyr@usgs.gov","orcid":"https://orcid.org/0000-0003-2293-5395","contributorId":3539,"corporation":false,"usgs":true,"family":"Cyr","given":"Andrew","email":"acyr@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":734961,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schmidt, Kevin M. 0000-0003-2365-8035 kschmidt@usgs.gov","orcid":"https://orcid.org/0000-0003-2365-8035","contributorId":1985,"corporation":false,"usgs":true,"family":"Schmidt","given":"Kevin","email":"kschmidt@usgs.gov","middleInitial":"M.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":734962,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70196915,"text":"70196915 - 2017 - Mitigating road mortality of diamond-backed terrapins (Malaclemy's terrapin) with hybrid barriers at crossing hot spots","interactions":[],"lastModifiedDate":"2018-05-10T14:28:25","indexId":"70196915","displayToPublicDate":"2017-12-31T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1894,"text":"Herpetological Conservation and Biology","onlineIssn":"2151-0733","printIssn":"1931-7603","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Mitigating road mortality of diamond-backed terrapins (<i>Malaclemy's terrapin</i>) with hybrid barriers at crossing hot spots","title":"Mitigating road mortality of diamond-backed terrapins (Malaclemy's terrapin) with hybrid barriers at crossing hot spots","docAbstract":"<p>Roads represent a pervasive feature on most landscapes that can pose multiple threats to wildlife populations and substantial challenges for management. To be effective, management strategies must often target where threats are most concentrated. Road mortality and nest predation are well-documented threats to Diamond-backed Terrapins (<i>Malaclemys terrapin</i>) across the majority of their range, including the 8.7-km causeway to Jekyll Island, Georgia, USA, where both are predicted to contribute to population declines if left unmitigated. From 2009 to 2014, we used intensive road surveying to identify spatial peaks (hot spots) of terrapin crossing activity and road mortality and exploit these as targets for management. In 2011, we deployed a hybrid barrier composed of nest boxes, which were designed to prevent terrapins from accessing the road and mitigate nest predation, at one hot spot while leaving two other hot spots unmanaged. We evaluated the impact of the barrier on terrapin emergences on the causeway under a Before-After-Control-Impact (BACI) design, and a companion study evaluated the effects of nest boxes on nest predation rates. We estimated a 57% reduction in annual terrapin emergences at the barrier site compared to no measurable change at control hot spots. Our findings support the use of hybrid barriers for simultaneously addressing road mortality and nest predation for other terrapin populations at risk to these threats. Our approach highlights the need to design feasible but robust management strategies that target spatial peaks of road mortality while addressing additional threats contributing to population declines of terrapins and other species.</p>","language":"English","publisher":"Herpetological Conservation and Biology","usgsCitation":"Crawford, B.A., Moore, C.T., Norton, T., and Maerz, J.C., 2017, Mitigating road mortality of diamond-backed terrapins (Malaclemy's terrapin) with hybrid barriers at crossing hot spots: Herpetological Conservation and Biology, v. 12, no. 1, p. 202-211.","productDescription":"10 p.","startPage":"202","endPage":"211","ipdsId":"IP-079342","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":354060,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":354037,"type":{"id":15,"text":"Index Page"},"url":"https://www.herpconbio.org/contents_vol12_issue1.html"}],"country":"United States","state":"Georgia","otherGeospatial":"Jekyll Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.47186279296875,\n              31.00321446535303\n            ],\n            [\n              -81.37332916259766,\n              31.00321446535303\n            ],\n            [\n              -81.37332916259766,\n              31.141423366884744\n            ],\n            [\n              -81.47186279296875,\n              31.141423366884744\n            ],\n            [\n              -81.47186279296875,\n              31.00321446535303\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"12","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee789e4b0da30c1bfc2da","contributors":{"authors":[{"text":"Crawford, Brian A.","contributorId":204802,"corporation":false,"usgs":false,"family":"Crawford","given":"Brian","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":735039,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moore, Clinton T. 0000-0002-6053-2880 cmoore@usgs.gov","orcid":"https://orcid.org/0000-0002-6053-2880","contributorId":3643,"corporation":false,"usgs":true,"family":"Moore","given":"Clinton","email":"cmoore@usgs.gov","middleInitial":"T.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":734985,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Norton, Terry M.","contributorId":71020,"corporation":false,"usgs":true,"family":"Norton","given":"Terry M.","affiliations":[],"preferred":false,"id":735040,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Maerz, John C.","contributorId":171763,"corporation":false,"usgs":false,"family":"Maerz","given":"John","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":735041,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70196942,"text":"70196942 - 2017 - Effects of isolation on ant assemblages depend on microhabitat","interactions":[],"lastModifiedDate":"2018-05-14T13:19:19","indexId":"70196942","displayToPublicDate":"2017-12-31T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Effects of isolation on ant assemblages depend on microhabitat","docAbstract":"How isolation affects biological communities is a fundamental question in ecology and conservation biology. Local diversity (α) and regional diversity (γ) are consistently lower in insular areas. The pattern of species turnover (β diversity) and the influence of isolation on competitive interactions are less predictable. Differences in communities across microhabitats within an isolated patch could contribute to the variability in patterns related to isolation. Trees form characteristically dense and sparse patches (low vs. high isolation) in floating marshes in coastal Louisiana, and canopy and root areas around these trees could support distinct ant communities. Consequently, trees in floating marshes provide an ideal environment to study the effects of isolation on community assemblages in different microhabitats. We sampled ant communities in 120 trees during the summer of 2016. We found ant α diversity was not different between the canopy and roots, and the magnitude and directional effects of isolation on ants were inconsistent between the canopy and root areas. In the roots of sparse sites, ant diversity (α, β, and γ) was lower, species composition was changed, and the signature of interspecific competition was more prominent compared to dense sites. In the canopy, however, significant differences between dense and sparse sites were only detected in α and γ diversity, and ant species co‐occurrence was not significantly different from a random distribution. The inconsistent responses of ants in canopy and root areas to isolation may be due to the differences of species pool size, environmental harshness, and species interactions between strata. In addition, these findings indicate that communities in distinct microenvironments can respond differentially to habitat isolation. We suggest incorporating organisms from different microhabitats into future research to better understand the influence of isolation on the assembly of biological communities.","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.2049","usgsCitation":"Chen, X., Adams, B., Layne, M., Swarzenski, C.M., Norris, D., and Hooper-Bui, L., 2017, Effects of isolation on ant assemblages depend on microhabitat: Ecosphere, v. 8, no. 12, p. 1-12, https://doi.org/10.1002/ecs2.2049.","productDescription":"e02049; 12 p.","startPage":"1","endPage":"12","onlineOnly":"Y","ipdsId":"IP-091131","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":469226,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.2049","text":"Publisher Index Page"},{"id":354098,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"12","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2017-12-20","publicationStatus":"PW","scienceBaseUri":"5afee789e4b0da30c1bfc2d8","contributors":{"authors":[{"text":"Chen, Xuan","contributorId":204821,"corporation":false,"usgs":false,"family":"Chen","given":"Xuan","email":"","affiliations":[{"id":36987,"text":"Louisiana State University, College of Coast and Environment","active":true,"usgs":false}],"preferred":false,"id":735093,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Adams, Benjamin","contributorId":204822,"corporation":false,"usgs":false,"family":"Adams","given":"Benjamin","email":"","affiliations":[{"id":36988,"text":"University of Louisville, Dept. Biology","active":true,"usgs":false}],"preferred":false,"id":735094,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Layne, Michael","contributorId":204823,"corporation":false,"usgs":false,"family":"Layne","given":"Michael","email":"","affiliations":[{"id":36987,"text":"Louisiana State University, College of Coast and Environment","active":true,"usgs":false}],"preferred":false,"id":735095,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Swarzenski, Christopher M. 0000-0001-9843-1471 cswarzen@usgs.gov","orcid":"https://orcid.org/0000-0001-9843-1471","contributorId":656,"corporation":false,"usgs":true,"family":"Swarzenski","given":"Christopher","email":"cswarzen@usgs.gov","middleInitial":"M.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":735092,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Norris, David O.","contributorId":156306,"corporation":false,"usgs":false,"family":"Norris","given":"David O.","affiliations":[],"preferred":false,"id":735096,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hooper-Bui, Linda","contributorId":204824,"corporation":false,"usgs":false,"family":"Hooper-Bui","given":"Linda","email":"","affiliations":[{"id":36987,"text":"Louisiana State University, College of Coast and Environment","active":true,"usgs":false}],"preferred":false,"id":735097,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70198174,"text":"70198174 - 2017 - Population expansion of Humpback chub in western Grand Canyon and hypothesized mechanisms","interactions":[],"lastModifiedDate":"2018-07-19T09:43:34","indexId":"70198174","displayToPublicDate":"2017-12-31T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3451,"text":"Southwestern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Population expansion of Humpback chub in western Grand Canyon and hypothesized mechanisms","docAbstract":"<p><span>Humpback chub,&nbsp;</span><i>Gila cypha</i><span>, is an endangered warm water fish endemic to the Colorado River basin of southwestern North America. In Grand Canyon National Park, cold hypolimnetic water-release temperatures from Glen Canyon Dam have largely precluded successful spawning and recruitment of humpback chub in the mainstem Colorado River. Therefore, the species has utilized the warmer, more saline, and free-flowing Little Colorado River for its primary spawning habitat and continued existence. Based on long-term fish sampling efforts, we document local recruitment and population expansion of humpback chub in the western Grand Canyon and hypothesize that this is a result of recent warmer mainstem water temperatures. Continued recruitment and population expansion of humpback chub in the western Grand Canyon could potentially reduce extinction risk by providing population redundancy and less reliance upon the Little Colorado River for the species survival in the Grand Canyon.</span></p>","language":"English","publisher":"Southwestern Association of Naturalists","doi":"10.1894/0038-4909-62.4.285","usgsCitation":"VanHaverbeke, D.R., Stone, D.M., Dodrill, M., Young, K.L., and Pillow, M.J., 2017, Population expansion of Humpback chub in western Grand Canyon and hypothesized mechanisms: Southwestern Naturalist, v. 62, no. 4, p. 285-292, https://doi.org/10.1894/0038-4909-62.4.285.","productDescription":"8 p.","startPage":"285","endPage":"292","ipdsId":"IP-087852","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":438117,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F76972GB","text":"USGS data release","linkHelpText":"Humpback chub (Gila cypha) and mean daily water temperature data, western Grand Canyon - 2000 to 2016"},{"id":355813,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Grand Canyon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -114.071044921875,\n              35.50987173838399\n            ],\n            [\n              -111.0333251953125,\n              35.50987173838399\n            ],\n            [\n              -111.0333251953125,\n              37.12966595484084\n            ],\n            [\n              -114.071044921875,\n              37.12966595484084\n            ],\n            [\n              -114.071044921875,\n              35.50987173838399\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"62","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b6fc50be4b0f5d57878eaee","contributors":{"authors":[{"text":"VanHaverbeke, David R.","contributorId":206440,"corporation":false,"usgs":false,"family":"VanHaverbeke","given":"David","email":"","middleInitial":"R.","affiliations":[{"id":37331,"text":"US Fish and Wildlife Service, 2500 S. Pine Knoll Drive, Flagstaff, AZ 86001","active":true,"usgs":false}],"preferred":false,"id":740426,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stone, Dennis M.","contributorId":58237,"corporation":false,"usgs":false,"family":"Stone","given":"Dennis","email":"","middleInitial":"M.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":740427,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dodrill, Michael J. 0000-0002-7038-7170","orcid":"https://orcid.org/0000-0002-7038-7170","contributorId":206439,"corporation":false,"usgs":true,"family":"Dodrill","given":"Michael","middleInitial":"J.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":740425,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Young, Kirk L.","contributorId":204247,"corporation":false,"usgs":false,"family":"Young","given":"Kirk","email":"","middleInitial":"L.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":740428,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pillow, Michael J.","contributorId":206441,"corporation":false,"usgs":false,"family":"Pillow","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":37331,"text":"US Fish and Wildlife Service, 2500 S. Pine Knoll Drive, Flagstaff, AZ 86001","active":true,"usgs":false}],"preferred":false,"id":740429,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70196906,"text":"70196906 - 2017 - Spatial ecology and movement of reintroduced Canada lynx","interactions":[],"lastModifiedDate":"2018-05-11T14:19:18","indexId":"70196906","displayToPublicDate":"2017-12-31T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1445,"text":"Ecography","active":true,"publicationSubtype":{"id":10}},"title":"Spatial ecology and movement of reintroduced Canada lynx","docAbstract":"<p><span>Understanding movement behavior and identifying areas of landscape connectivity is critical for the conservation of many species. However, collecting fine‐scale movement data can be prohibitively time consuming and costly, especially for rare or endangered species, whereas existing data sets may provide the best available information on animal movement. Contemporary movement models may not be an option for modeling existing data due to low temporal resolution and large or unusual error structures, but inference can still be obtained using a functional movement modeling approach. We use a functional movement model to perform a population‐level analysis of telemetry data collected during the reintroduction of Canada lynx to Colorado. Little is known about southern lynx populations compared to those in Canada and Alaska, and inference is often limited to a few individuals due to their low densities. Our analysis of a population of Canada lynx fills significant gaps in the knowledge of Canada lynx behavior at the southern edge of its historical range. We analyzed functions of individual‐level movement paths, such as speed, residence time, and tortuosity, and identified a region of connectivity that extended north from the San Juan Mountains, along the continental divide, and terminated in Wyoming at the northern edge of the Southern Rocky Mountains. Individuals were able to traverse large distances across non‐boreal habitat, including exploratory movements to the Greater Yellowstone area and beyond. We found evidence for an effect of seasonality and breeding status on many of the movement quantities and documented a potential reintroduction effect. Our findings provide the first analysis of Canada lynx movement in Colorado and substantially augment the information available for conservation and management decisions. The functional movement framework can be extended to other species and demonstrates that information on movement behavior can be obtained using existing data sets.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/ecog.03030","usgsCitation":"Buderman, F.E., Hooten, M., Ivan, J., and Shenk, T., 2017, Spatial ecology and movement of reintroduced Canada lynx: Ecography, v. 41, no. 1, p. 126-139, https://doi.org/10.1111/ecog.03030.","productDescription":"14 p.","startPage":"126","endPage":"139","ipdsId":"IP-072342","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":354099,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Yellowstone National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.02783203125,\n              44.1151978766043\n            ],\n            [\n              -109.94293212890625,\n              44.1151978766043\n            ],\n            [\n              -109.94293212890625,\n              44.88895839978044\n            ],\n            [\n              -111.02783203125,\n              44.88895839978044\n            ],\n            [\n              -111.02783203125,\n              44.1151978766043\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"41","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-22","publicationStatus":"PW","scienceBaseUri":"5afee789e4b0da30c1bfc2de","contributors":{"authors":[{"text":"Buderman, Frances E.","contributorId":171634,"corporation":false,"usgs":false,"family":"Buderman","given":"Frances","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":734972,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hooten, Mevin 0000-0002-1614-723X mhooten@usgs.gov","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":2958,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin","email":"mhooten@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":12963,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO","active":true,"usgs":false}],"preferred":true,"id":734971,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ivan, Jacob S.","contributorId":200243,"corporation":false,"usgs":false,"family":"Ivan","given":"Jacob S.","affiliations":[],"preferred":false,"id":734973,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shenk, Tanya","contributorId":204778,"corporation":false,"usgs":false,"family":"Shenk","given":"Tanya","affiliations":[{"id":36892,"text":"University of Nebraska","active":true,"usgs":false}],"preferred":false,"id":734974,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70191585,"text":"70191585 - 2017 - Spectral properties of anhydrous carbonates and nitrates","interactions":[],"lastModifiedDate":"2020-11-05T16:19:27.832996","indexId":"70191585","displayToPublicDate":"2017-12-31T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Spectral properties of anhydrous carbonates and nitrates","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Lunar and Planetary Science XLVIII","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"48th Lunar and Planetary Science Conference","conferenceDate":"March 20-24, 2017","conferenceLocation":"The Woodlands, Texas","language":"English","publisher":"Lunar and Planetary Society","collaboration":"SETI institute, NASA-Ames, PSI, Brown University, and Univ. of Texas at Austin","usgsCitation":"Bishop, J., King, S., Lane, M., Lafuente, B., Brown, A.J., Hiroi, T., Swayze, G.A., and Lin, J., 2017, Spectral properties of anhydrous carbonates and nitrates, <i>in</i> Lunar and Planetary Science XLVIII, The Woodlands, Texas, March 20-24, 2017, 2 p.","productDescription":"2 p.","ipdsId":"IP-082966","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":350343,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":380196,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.hou.usra.edu/meetings/lpsc2017/programAbstracts/view/"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fae0e4b06e28e9c228b6","contributors":{"authors":[{"text":"Bishop, J.L.","contributorId":197181,"corporation":false,"usgs":false,"family":"Bishop","given":"J.L.","email":"","affiliations":[],"preferred":false,"id":712809,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"King, S.J.","contributorId":197182,"corporation":false,"usgs":false,"family":"King","given":"S.J.","email":"","affiliations":[],"preferred":false,"id":712810,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lane, M.D.","contributorId":197183,"corporation":false,"usgs":false,"family":"Lane","given":"M.D.","email":"","affiliations":[],"preferred":false,"id":712811,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lafuente, B.","contributorId":197184,"corporation":false,"usgs":false,"family":"Lafuente","given":"B.","email":"","affiliations":[],"preferred":false,"id":712812,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brown, A. J.","contributorId":197185,"corporation":false,"usgs":false,"family":"Brown","given":"A.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":712813,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hiroi, T.","contributorId":197186,"corporation":false,"usgs":false,"family":"Hiroi","given":"T.","email":"","affiliations":[],"preferred":false,"id":712814,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Swayze, Gregg A. 0000-0002-1814-7823 gswayze@usgs.gov","orcid":"https://orcid.org/0000-0002-1814-7823","contributorId":518,"corporation":false,"usgs":true,"family":"Swayze","given":"Gregg","email":"gswayze@usgs.gov","middleInitial":"A.","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":712808,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lin, J.-F.","contributorId":197187,"corporation":false,"usgs":false,"family":"Lin","given":"J.-F.","email":"","affiliations":[],"preferred":false,"id":712815,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70197550,"text":"70197550 - 2017 - Mislabeling of an invasive vine (Celastrus orbiculatus) as a native congener (C. scandens) in horticulture","interactions":[],"lastModifiedDate":"2018-06-12T10:20:56","indexId":"70197550","displayToPublicDate":"2017-12-31T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2100,"text":"Invasive Plant Science and Management","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Mislabeling of an invasive vine (<i>Celastrus orbiculatus</i>) as a native congener (<i>C. scandens</i>) in horticulture","title":"Mislabeling of an invasive vine (Celastrus orbiculatus) as a native congener (C. scandens) in horticulture","docAbstract":"<p><span>The horticultural industry is an important source of invasive ornamental plant species, which is part of the motivation for an increased emphasis on using native alternatives. We were interested in the possibility that plants marketed in the midwestern United States as the native&nbsp;</span><i><span class=\"italic\">Celastrus scandens</span></i><span>, or American bittersweet, were actually the difficult-to-distinguish invasive<span>&nbsp;</span></span><i><span class=\"italic\">Celastrus orbiculatus</span></i><span><span>&nbsp;</span>(oriental bittersweet) or hybrids of the two species. We used nuclear microsatellite DNA loci to compare the genetic identities of 34 plants from 11 vendors with reference plants from wild populations of known species identity. We found that 18 samples (53%) were mislabeled, and 7 of the 11 vendors sold mislabeled plants. Mislabeled plants were more likely to be purchased through Internet or phone order shipments and were significantly less expensive than accurately labeled plants. Vendors marketed mislabeled plants under five different cultivar names, as well as unnamed strains. Additionally, the most common native cultivar, ‘Autumn Revolution,’ displays reproductive characteristics that diverge from the typical<span>&nbsp;</span></span><i><span class=\"italic\">C. scandens</span></i><span>, which could be of some concern. The lower price and abundance of mislabeled invasive plants introduces incentives for consumers to unknowingly contribute to the spread of<span>&nbsp;</span></span><i><span class=\"italic\">C. orbiculatus</span></i><span>. Revealing the potential sources of<span>&nbsp;</span></span><i><span class=\"italic\">C. orbiculatus</span></i><span><span>&nbsp;</span>is critical for controlling further spread of the invasive vine and limiting its impact on<span>&nbsp;</span></span><i><span class=\"italic\">C. scandens</span></i><span><span>&nbsp;</span>populations.</span></p>","language":"English","publisher":"Weed Science Society of America","doi":"10.1017/inp.2017.37","usgsCitation":"Zaya, D.N., Leicht-Young, S.A., Pavlovic, N.B., Hetrea, C.S., and Ashley, M.V., 2017, Mislabeling of an invasive vine (Celastrus orbiculatus) as a native congener (C. scandens) in horticulture: Invasive Plant Science and Management, v. 10, no. 4, p. 313-321, https://doi.org/10.1017/inp.2017.37.","productDescription":"9 p.","startPage":"313","endPage":"321","ipdsId":"IP-076385","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":354922,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"4","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2017-12-14","publicationStatus":"PW","scienceBaseUri":"5b46e608e4b060350a15d250","contributors":{"authors":[{"text":"Zaya, David N.","contributorId":150864,"corporation":false,"usgs":false,"family":"Zaya","given":"David","email":"","middleInitial":"N.","affiliations":[{"id":18125,"text":"University of Illinois, Chicago","active":true,"usgs":false}],"preferred":false,"id":737629,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Leicht-Young, Stacey A.","contributorId":80506,"corporation":false,"usgs":false,"family":"Leicht-Young","given":"Stacey","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":737660,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pavlovic, Noel B. 0000-0002-2335-2274 npavlovic@usgs.gov","orcid":"https://orcid.org/0000-0002-2335-2274","contributorId":1976,"corporation":false,"usgs":true,"family":"Pavlovic","given":"Noel","email":"npavlovic@usgs.gov","middleInitial":"B.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":737661,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hetrea, Christopher S.","contributorId":205522,"corporation":false,"usgs":false,"family":"Hetrea","given":"Christopher","email":"","middleInitial":"S.","affiliations":[{"id":18137,"text":"University of Illinois at Chicago","active":true,"usgs":false}],"preferred":false,"id":737662,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ashley, Mary V.","contributorId":150910,"corporation":false,"usgs":false,"family":"Ashley","given":"Mary","email":"","middleInitial":"V.","affiliations":[{"id":18137,"text":"University of Illinois at Chicago","active":true,"usgs":false}],"preferred":false,"id":737663,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70196914,"text":"70196914 - 2017 - Influence of lake surface area and total phosphorus on annual bluegill growth in small impoundments of central Georgia","interactions":[],"lastModifiedDate":"2018-05-10T14:36:58","indexId":"70196914","displayToPublicDate":"2017-12-31T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3444,"text":"Southeastern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Influence of lake surface area and total phosphorus on annual bluegill growth in small impoundments of central Georgia","docAbstract":"<p><span>The relationships between environmental variables and the growth rates of fishes are important and rapidly expanding topics in fisheries ecology. We used an informationtheoretic approach to evaluate the influence of lake surface area and total phosphorus on the age-specific growth rates of&nbsp;</span><i>Lepomis macrochirus</i><span><span>&nbsp;</span>(Bluegill) in 6 small impoundments in central Georgia. We used model averaging to create composite models and determine the relative importance of the variables within each model. Results indicated that surface area was the most important factor in the models predicting growth of Bluegills aged 1–4 years; total phosphorus was also an important predictor for the same age-classes. These results suggest that managers can use water quality and lake morphometry variables to create predictive models specific to their waterbody or region to help develop lake-specific management plans that select for and optimize local-level habitat factors for enhancing Bluegill growth.</span></p>","language":"English","publisher":"Eagle Hill Institute","doi":"10.1656/058.016.0406","usgsCitation":"Jennings, C.A., and Sundmark, A.P., 2017, Influence of lake surface area and total phosphorus on annual bluegill growth in small impoundments of central Georgia: Southeastern Naturalist, v. 16, no. 4, p. 546-566, https://doi.org/10.1656/058.016.0406.","productDescription":"21 p.","startPage":"546","endPage":"566","ipdsId":"IP-077977","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":354061,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Georgia","otherGeospatial":"Charlie Elliot Wildlife Center","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -84.30908203125,\n              32.7503226078097\n            ],\n            [\n              -83.03466796874999,\n              32.7503226078097\n            ],\n            [\n              -83.03466796874999,\n              33.779147331286474\n            ],\n            [\n              -84.30908203125,\n              33.779147331286474\n            ],\n            [\n              -84.30908203125,\n              32.7503226078097\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"16","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee789e4b0da30c1bfc2dc","contributors":{"authors":[{"text":"Jennings, Cecil A. 0000-0002-6159-6026 jennings@usgs.gov","orcid":"https://orcid.org/0000-0002-6159-6026","contributorId":874,"corporation":false,"usgs":true,"family":"Jennings","given":"Cecil","email":"jennings@usgs.gov","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":734984,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sundmark, Aaron P.","contributorId":204804,"corporation":false,"usgs":false,"family":"Sundmark","given":"Aaron","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":735042,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70197037,"text":"70197037 - 2017 - Declining occurrence and low colonization probability in freshwater mussel assemblages: A dynamic occurrence modeling approach","interactions":[],"lastModifiedDate":"2020-12-16T16:55:45.695979","indexId":"70197037","displayToPublicDate":"2017-12-31T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5254,"text":"Freshwater Mollusk Biology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Declining occurrence and low colonization probability in freshwater mussel assemblages: A dynamic occurrence modeling approach","docAbstract":"<p>Mussel monitoring data are abundant, but methods for analyzing long-term trends in these data are often uninformative or have low power to detect changes. We used a dynamic occurrence model, which accounted for imperfect species detection in surveys, to assess changes in species occurrence in a longterm data set (1986–2011) for the Tar River basin of North Carolina, USA. Occurrence of all species decreased steadily over the time period studied. Occurrence in 1986 ranged from 0.19 for <i>Utterbackia imbecillis</i> to 0.60 for <i>Fusconaia masoni</i>. Occurrence in 2010–2011 ranged from 0.10 for<i> Lampsilis radiata</i> to 0.40 for<i> F. masoni</i>. The maximum difference between occurrence in 1986 and 2011 was a decline of 0.30 for <i>Alasmidonta undulata</i>. Mean persistence for all species was high (0.97, 95% CI ¼ 0.95–0.99); however, mean colonization probability was very low (,0.01, 95% CI ¼ ,0.01–0.01). These results indicate that mussels persisted at sites already occupied but that they have not colonized sites where they had not occurred previously. Our findings highlight the importance of modeling approaches that incorporate imperfect detection in estimating species occurrence and revealing temporal trends to inform conservation planning.</p>","language":"English","publisher":"Freshwater Mollusk Conservation Society","doi":"10.31931/fmbc.v20i1.2017.13-19","usgsCitation":"Pandolfo, T.J., Kwak, T.J., Cope, W., Heise, R.J., Nichols, R.B., and Pacifici, K., 2017, Declining occurrence and low colonization probability in freshwater mussel assemblages: A dynamic occurrence modeling approach: Freshwater Mollusk Biology and Conservation, v. 20, no. 1, p. 13-19, https://doi.org/10.31931/fmbc.v20i1.2017.13-19.","productDescription":"7 p.","startPage":"13","endPage":"19","ipdsId":"IP-070553","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":469227,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.31931/fmbc.v20i1.2017.13-19","text":"Publisher Index Page"},{"id":354162,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","otherGeospatial":"Tar River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -79.365234375,\n              35.37113502280101\n            ],\n            [\n              -77.6513671875,\n              35.37113502280101\n            ],\n            [\n              -77.6513671875,\n              36.527294814546245\n            ],\n            [\n              -79.365234375,\n              36.527294814546245\n            ],\n            [\n              -79.365234375,\n              35.37113502280101\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"20","issue":"1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee789e4b0da30c1bfc2d6","contributors":{"authors":[{"text":"Pandolfo, Tamara J.","contributorId":146388,"corporation":false,"usgs":false,"family":"Pandolfo","given":"Tamara","email":"","middleInitial":"J.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":735347,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kwak, Thomas J. 0000-0002-0616-137X tkwak@usgs.gov","orcid":"https://orcid.org/0000-0002-0616-137X","contributorId":834,"corporation":false,"usgs":true,"family":"Kwak","given":"Thomas","email":"tkwak@usgs.gov","middleInitial":"J.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":735325,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cope, W. Gregory","contributorId":70353,"corporation":false,"usgs":true,"family":"Cope","given":"W. Gregory","affiliations":[],"preferred":false,"id":735348,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Heise, Ryan J.","contributorId":145789,"corporation":false,"usgs":false,"family":"Heise","given":"Ryan","email":"","middleInitial":"J.","affiliations":[{"id":16149,"text":"North Carolina Wildlife Resources Commission, 1003 Consolidated Rd., Elizabeth City, NC 27909","active":true,"usgs":false}],"preferred":false,"id":735349,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nichols, Robert B.","contributorId":182112,"corporation":false,"usgs":false,"family":"Nichols","given":"Robert","email":"","middleInitial":"B.","affiliations":[{"id":35598,"text":"North Carolina Wildlife Resources Commission ","active":true,"usgs":false}],"preferred":false,"id":735350,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pacifici, Krishna","contributorId":26564,"corporation":false,"usgs":false,"family":"Pacifici","given":"Krishna","email":"","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":735351,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70196355,"text":"70196355 - 2017 - Long-term monitoring data provide evidence of declining species richness in a river valued for biodiversity conservation","interactions":[],"lastModifiedDate":"2018-04-03T14:24:41","indexId":"70196355","displayToPublicDate":"2017-12-31T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Long-term monitoring data provide evidence of declining species richness in a river valued for biodiversity conservation","docAbstract":"<p><span>Free-flowing river segments provide refuges for many imperiled aquatic biota that have been extirpated elsewhere in their native ranges. These biodiversity refuges are also foci of conservation concerns because species persisting within isolated habitat fragments may be particularly vulnerable to local environmental change. We have analyzed long-term (14- and 20-y) survey data to assess evidence of fish species declines in two southeastern U.S. rivers where managers and stakeholders have identified potentially detrimental impacts of current and future land uses. The Conasauga River (Georgia and Tennessee) and the Etowah River (Georgia) form free-flowing headwaters of the extensively dammed Coosa River system. These rivers are valued in part because they harbor multiple species of conservation concern, including three federally endangered and two federally threatened fishes. We used data sets comprising annual surveys for fish species at multiple, fixed sites located at river shoals to analyze occupancy dynamics and temporal changes in species richness. Our analyses incorporated repeated site-specific surveys in some years to estimate and account for incomplete species detection, and test for species-specific (rarity, mainstem-restriction) and year-specific (elevated frequencies of low- or high-flow days) covariates on occupancy dynamics. In the Conasauga River, analysis of 26 species at 13 sites showed evidence of temporal declines in colonization rates for nearly all taxa, accompanied by declining species richness. Four taxa (including one federally endangered species) had reduced occupancy across the Conasauga study sites, with three of these taxa apparently absent for at least the last 5 y of the study. In contrast, a similar fauna of 28 taxa at 10 sites in the Etowah River showed no trends in species persistence, colonization, or occupancy. None of the tested covariates showed strong effects on persistence or colonization rates in either river. Previous studies and observations identified contaminants, nutrient loading, or changes in benthic habitat as possible causes for fish species declines in the Conasauga River. Our analysis provides baseline information that could be used to assess effectiveness of future management actions in the Conasauga or Etowah rivers, and illustrates the use of dynamic occupancy models to evaluate evidence of faunal decline from time-series data.</span></p>","language":"English","publisher":"Scientific Journals","doi":"10.3996/122016-JFWM-090","usgsCitation":"Freeman, M., Hagler, M.M., Bumpers, P.M., Wheeler, K., Wenger, S., and Freeman, B.J., 2017, Long-term monitoring data provide evidence of declining species richness in a river valued for biodiversity conservation: Journal of Fish and Wildlife Management, v. 8, no. 2, p. 418-434, https://doi.org/10.3996/122016-JFWM-090.","productDescription":"17p.","startPage":"418","endPage":"434","ipdsId":"IP-082143","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":353118,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Georgia","otherGeospatial":"Conasauga River, Etowah River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -85.49560546875,\n              33.99802726234877\n            ],\n            [\n              -83.9959716796875,\n              33.99802726234877\n            ],\n            [\n              -83.9959716796875,\n              35.007502842952896\n            ],\n            [\n              -85.49560546875,\n              35.007502842952896\n            ],\n            [\n              -85.49560546875,\n              33.99802726234877\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"8","issue":"2","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-01","publicationStatus":"PW","scienceBaseUri":"5afee789e4b0da30c1bfc2e2","contributors":{"authors":[{"text":"Freeman, Mary 0000-0001-7615-6923 mcfreeman@usgs.gov","orcid":"https://orcid.org/0000-0001-7615-6923","contributorId":3528,"corporation":false,"usgs":true,"family":"Freeman","given":"Mary","email":"mcfreeman@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":732551,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hagler, Megan M.","contributorId":203870,"corporation":false,"usgs":false,"family":"Hagler","given":"Megan","email":"","middleInitial":"M.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":732552,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bumpers, Phillip M.","contributorId":203871,"corporation":false,"usgs":false,"family":"Bumpers","given":"Phillip","email":"","middleInitial":"M.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":732553,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wheeler, Kit","contributorId":203872,"corporation":false,"usgs":false,"family":"Wheeler","given":"Kit","email":"","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":732554,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wenger, Seth J.","contributorId":177838,"corporation":false,"usgs":false,"family":"Wenger","given":"Seth J.","affiliations":[],"preferred":false,"id":732555,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Freeman, Byron J.","contributorId":49782,"corporation":false,"usgs":false,"family":"Freeman","given":"Byron","email":"","middleInitial":"J.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":732556,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70195693,"text":"70195693 - 2017 - Population genetic structure and gene flow of Adélie penguins (Pygoscelis adeliae) breeding throughout the western Antarctic Peninsula","interactions":[],"lastModifiedDate":"2018-05-20T12:44:45","indexId":"70195693","displayToPublicDate":"2017-12-31T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":814,"text":"Antarctic Science","onlineIssn":"1365-2079","printIssn":"0954-1020","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Population genetic structure and gene flow of Adélie penguins (<i>Pygoscelis adeliae</i>) breeding throughout the western Antarctic Peninsula","title":"Population genetic structure and gene flow of Adélie penguins (Pygoscelis adeliae) breeding throughout the western Antarctic Peninsula","docAbstract":"<p>Adélie penguins (<span><i>Pygoscelis adeliae</i></span>) are responding to ocean–climate variability throughout the marine ecosystem of the western Antarctic Peninsula (WAP) where some breeding colonies have declined by 80%. Nuclear and mitochondrial DNA (mtDNA) markers were used to understand historical population genetic structure and gene flow given relatively recent and continuing reductions in sea ice habitats and changes in numbers of breeding adults at colonies throughout the WAP. Genetic diversity, spatial genetic structure, genetic signatures of fluctuations in population demography and gene flow were assessed in four regional Adélie penguin colonies. The analyses indicated little genetic structure overall based on bi-parentally inherited microsatellite markers (<span><i>F</i></span><span><sub><i>ST</i>&nbsp;</sub></span>=-0.006–0.004). No significant variance was observed in overall haplotype frequency (mtDNA&nbsp;<span><i>Φ</i></span><span><sub><i>ST</i>&nbsp;</sub></span>=0.017;&nbsp;<span><i>P</i></span>=0.112). Some comparisons with Charcot Island were significant, suggestive of female-biased philopatry. Estimates of gene flow based on a two-population coalescent model were asymmetrical from the species’ regional core to its northern range. Breeding Adélie penguins of the WAP are a panmictic population and hold adequate genetic diversity and dispersal capacity to be resilient to environmental change.</p>","language":"English","publisher":"Cambridge University Press","doi":"10.1017/S0954102017000293","usgsCitation":"Gorman, K.B., Talbot, S.L., Sonsthagen, S.A., Sage, G.K., Gravley, M.C., Fraser, W.R., and Williams, T.D., 2017, Population genetic structure and gene flow of Adélie penguins (Pygoscelis adeliae) breeding throughout the western Antarctic Peninsula: Antarctic Science, v. 29, no. 6, p. 499-510, https://doi.org/10.1017/S0954102017000293.","productDescription":"12 p.","startPage":"499","endPage":"510","ipdsId":"IP-072678","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":352118,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"29","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-28","publicationStatus":"PW","scienceBaseUri":"5afee789e4b0da30c1bfc2e4","contributors":{"authors":[{"text":"Gorman, Kristen B.","contributorId":42437,"corporation":false,"usgs":true,"family":"Gorman","given":"Kristen","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":729788,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Talbot, Sandra L. 0000-0002-3312-7214 stalbot@usgs.gov","orcid":"https://orcid.org/0000-0002-3312-7214","contributorId":140512,"corporation":false,"usgs":true,"family":"Talbot","given":"Sandra","email":"stalbot@usgs.gov","middleInitial":"L.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":729716,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sonsthagen, Sarah A. 0000-0001-6215-5874 ssonsthagen@usgs.gov","orcid":"https://orcid.org/0000-0001-6215-5874","contributorId":3711,"corporation":false,"usgs":true,"family":"Sonsthagen","given":"Sarah","email":"ssonsthagen@usgs.gov","middleInitial":"A.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":729717,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sage, George K. 0000-0003-1431-2286 ksage@usgs.gov","orcid":"https://orcid.org/0000-0003-1431-2286","contributorId":87833,"corporation":false,"usgs":true,"family":"Sage","given":"George","email":"ksage@usgs.gov","middleInitial":"K.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":false,"id":729719,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gravley, Megan C. 0000-0002-4947-0236 mgravley@usgs.gov","orcid":"https://orcid.org/0000-0002-4947-0236","contributorId":202812,"corporation":false,"usgs":true,"family":"Gravley","given":"Megan","email":"mgravley@usgs.gov","middleInitial":"C.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":729718,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Williams, Tony D.","contributorId":202813,"corporation":false,"usgs":false,"family":"Williams","given":"Tony","email":"","middleInitial":"D.","affiliations":[{"id":29801,"text":"Department of Biological Sciences, Simon Fraser University, Burnaby, BC","active":true,"usgs":false}],"preferred":false,"id":729721,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fraser, William R.","contributorId":197704,"corporation":false,"usgs":false,"family":"Fraser","given":"William","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":729720,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70198095,"text":"70198095 - 2017 - Status of natural and human environment","interactions":[],"lastModifiedDate":"2020-08-20T17:20:11.834167","indexId":"70198095","displayToPublicDate":"2017-12-31T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"Chapter 3","title":"Status of natural and human environment","docAbstract":"This report present the results of the 2017 AMAP Assessment of Adaptation Actions for a changing Arctic (AACA): Perspectives form the Bering-Chukchi-Beaufort Region.  This is one of three pilot study regions included in the AACA project.  AACA is the first AMAP assessment dealing with adaptation actions and how to meet possible Arctic futures in these times of rapid chance. \n\nInformation contained in this report is fully referenced and based first and foremost on peer-reviewed and published results of research and monitoring undertaken within the past decade.  Care has been taken to ensure that no critical probability statements are based on non-peer-reviewed materials\n\nAccess to reliable and up-to-date information is essential for the development of science-based decision-making regarding ongoing changes in the Arctic and their global implications.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"AMAP 2017, Adaptation actions for a changing Arctic: Perspectives form the Bering-Chukchi-Beaufort region","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"AMAP","usgsCitation":"Thorsteinson, L.K., Outridge, P., Klepikov, A., Ananichheva, M., Antonov, E., Bashkirova, V., Chaschin, V., Gaden, A., Hughes, L., Jia, G., Kikuchi, T., Kivka, K., Lima, J., Muir, M., Nikitina, E., Poussenkova, N., Pozhilova, N., Sergeeva, V., Skean, V., Somov, A., Stern, G., and Valeeva, V., 2017, Status of natural and human environment, chap. Chapter 3 <i>of</i> AMAP 2017, Adaptation actions for a changing Arctic: Perspectives form the Bering-Chukchi-Beaufort region, xiv, 255 p.","productDescription":"xiv, 255 p.","ipdsId":"IP-073808","costCenters":[{"id":113,"text":"Alaska Regional Director's Office","active":true,"usgs":true}],"links":[{"id":355770,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":355674,"type":{"id":15,"text":"Index Page"},"url":"https://www.amap.no/documents/doc/Adaptation-Actions-for-a-Changing-Arctic-Perspectives-from-the-Bering-Chukchi-Beaufort-Region/1615"}],"country":"Canada, Russia, United States","otherGeospatial":"Bering-Chukchi-Beaufort region","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -208.4765625,\n              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K.","contributorId":206290,"corporation":false,"usgs":false,"family":"Thorsteinson","given":"Lyman","email":"","middleInitial":"K.","affiliations":[{"id":37302,"text":"Formerly with USGS Alaska Region","active":true,"usgs":false}],"preferred":false,"id":739986,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Outridge, Peter","contributorId":168749,"corporation":false,"usgs":false,"family":"Outridge","given":"Peter","email":"","affiliations":[{"id":13092,"text":"Geological Survey of Canada","active":true,"usgs":false}],"preferred":false,"id":740345,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Klepikov, Alexander","contributorId":206403,"corporation":false,"usgs":false,"family":"Klepikov","given":"Alexander","email":"","affiliations":[],"preferred":false,"id":740346,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ananichheva, 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Kirill","contributorId":206410,"corporation":false,"usgs":false,"family":"Kivka","given":"Kirill","email":"","affiliations":[],"preferred":false,"id":740355,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Lima, James","contributorId":206411,"corporation":false,"usgs":false,"family":"Lima","given":"James","email":"","affiliations":[],"preferred":false,"id":740356,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Muir, Magdalena","contributorId":206412,"corporation":false,"usgs":false,"family":"Muir","given":"Magdalena","email":"","affiliations":[],"preferred":false,"id":740357,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Nikitina, Elena","contributorId":206413,"corporation":false,"usgs":false,"family":"Nikitina","given":"Elena","email":"","affiliations":[],"preferred":false,"id":740358,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Poussenkova, Nina","contributorId":206414,"corporation":false,"usgs":false,"family":"Poussenkova","given":"Nina","email":"","affiliations":[],"preferred":false,"id":740359,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Pozhilova, Natalia","contributorId":206415,"corporation":false,"usgs":false,"family":"Pozhilova","given":"Natalia","email":"","affiliations":[],"preferred":false,"id":740360,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Sergeeva, Valentina","contributorId":206416,"corporation":false,"usgs":false,"family":"Sergeeva","given":"Valentina","email":"","affiliations":[],"preferred":false,"id":740361,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Skean, Vanessa vskean@usgs.gov","contributorId":5226,"corporation":false,"usgs":true,"family":"Skean","given":"Vanessa","email":"vskean@usgs.gov","affiliations":[],"preferred":true,"id":740362,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Somov, Alexey","contributorId":206417,"corporation":false,"usgs":false,"family":"Somov","given":"Alexey","email":"","affiliations":[],"preferred":false,"id":740363,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Stern, Gary","contributorId":206418,"corporation":false,"usgs":false,"family":"Stern","given":"Gary","email":"","affiliations":[],"preferred":false,"id":740364,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Valeeva, Vilena","contributorId":206419,"corporation":false,"usgs":false,"family":"Valeeva","given":"Vilena","email":"","affiliations":[],"preferred":false,"id":740365,"contributorType":{"id":1,"text":"Authors"},"rank":22}]}}
,{"id":70197039,"text":"70197039 - 2017 - Comparison of the precision of age estimates generated from fin rays, scales, and otoliths of Blue Sucker","interactions":[],"lastModifiedDate":"2018-05-15T10:09:26","indexId":"70197039","displayToPublicDate":"2017-12-31T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3444,"text":"Southeastern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Comparison of the precision of age estimates generated from fin rays, scales, and otoliths of Blue Sucker","docAbstract":"<div class=\"hlFld-Abstract\"><div class=\"articleAbstractBox\"><div class=\"abstractSection\"><p class=\"last\">Evaluating the precision of age estimates generated by different readers and different calcified structures is an important part of generating reliable estimations of growth, recruitment, and mortality for fish populations. Understanding the potential loss of precision associated with using structures harvested without sacrificing individuals, such as scales or fin rays, is particularly important when working with imperiled species, such as<span>&nbsp;</span><i>Cycleptus elongatus</i><span>&nbsp;</span>(Blue Sucker). We collected otoliths (lapilli), scales, and the first fin rays of the dorsal, anal, pelvic, and pectoral fins of 9 Blue Suckers. We generated age estimates from each structure by both experienced (<i>n</i><span>&nbsp;</span>= 5) and novice (<i>n</i><span>&nbsp;</span>= 4) readers. We found that, independent of the structure used to generate the age estimates, the mean coefficient of variation (CV) of experienced readers was approximately 29% lower than that of novice readers. Further, the mean CV of age estimates generated from pectoral-fin rays, pelvic-fin rays, and scales were statistically indistinguishable and less than those of dorsal-fin rays, anal-fin rays, and otoliths. Anal-, dorsal-, and pelvic-fin rays and scales underestimated age compared to otoliths, but age estimates from pectoral-fin rays were comparable to those from otoliths. Skill level, structure, and fish total-length influenced reader precision between subsequent reads of the same aging structure from a particular fish. Using structures that can be harvested non-lethally to estimate the age of Blue Sucker can provide reliable and reproducible results, similar to those that would be expected from using otoliths. Therefore, we recommend the use of pectoral-fin rays as a non-lethal method to obtain age estimates for Blue Suckers.</p></div></div></div>","language":"English","publisher":"Eagle Hill Institute","doi":"10.1656/058.016.0208","usgsCitation":"Acre, M., Alejandrez, C., East, J., Massure, W.A., Miyazono, S., Pease, J.E., Roesler, E.L., Williams, H., and Grabowski, T.B., 2017, Comparison of the precision of age estimates generated from fin rays, scales, and otoliths of Blue Sucker: Southeastern Naturalist, v. 16, no. 2, p. 215-224, https://doi.org/10.1656/058.016.0208.","productDescription":"10 p.","startPage":"215","endPage":"224","ipdsId":"IP-075798","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":354158,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana, Texas","otherGeospatial":"Colorado River, Sabine River","volume":"16","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-08","publicationStatus":"PW","scienceBaseUri":"5afee789e4b0da30c1bfc2d4","contributors":{"authors":[{"text":"Acre, Matthew R.","contributorId":171446,"corporation":false,"usgs":false,"family":"Acre","given":"Matthew R.","affiliations":[],"preferred":false,"id":735329,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alejandrez, Celeste","contributorId":204874,"corporation":false,"usgs":false,"family":"Alejandrez","given":"Celeste","email":"","affiliations":[],"preferred":false,"id":735330,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"East, Jessica","contributorId":204875,"corporation":false,"usgs":false,"family":"East","given":"Jessica","email":"","affiliations":[],"preferred":false,"id":735331,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Massure, Wade A.","contributorId":204876,"corporation":false,"usgs":false,"family":"Massure","given":"Wade","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":735332,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Miyazono, S.","contributorId":79310,"corporation":false,"usgs":true,"family":"Miyazono","given":"S.","affiliations":[],"preferred":false,"id":735333,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pease, Jessica E.","contributorId":201491,"corporation":false,"usgs":false,"family":"Pease","given":"Jessica","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":735334,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Roesler, Elizabeth L.","contributorId":204877,"corporation":false,"usgs":false,"family":"Roesler","given":"Elizabeth","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":735335,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Williams, H.M.","contributorId":66656,"corporation":false,"usgs":true,"family":"Williams","given":"H.M.","email":"","affiliations":[],"preferred":false,"id":735336,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Grabowski, Timothy B. 0000-0001-9763-8948 tgrabowski@usgs.gov","orcid":"https://orcid.org/0000-0001-9763-8948","contributorId":4178,"corporation":false,"usgs":true,"family":"Grabowski","given":"Timothy","email":"tgrabowski@usgs.gov","middleInitial":"B.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":735328,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70195218,"text":"70195218 - 2017 - The thermal regime and species composition of fish and invertebrates in Kelly Warm Spring, Grand Teton National Park, Wyoming","interactions":[],"lastModifiedDate":"2018-03-19T10:42:30","indexId":"70195218","displayToPublicDate":"2017-12-31T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3746,"text":"Western North American Naturalist","onlineIssn":"1944-8341","printIssn":"1527-0904","active":true,"publicationSubtype":{"id":10}},"title":"The thermal regime and species composition of fish and invertebrates in Kelly Warm Spring, Grand Teton National Park, Wyoming","docAbstract":"<p><span>We evaluated the thermal regime and relative abundance of native and nonnative fish and invertebrates within Kelly Warm Spring and Savage Ditch, Grand Teton National Park, Wyoming. Water temperatures within the system remained relatively warm year-round with mean temperatures &gt;20 °C near the spring source and &gt;5 °C approximately 2 km downstream of the source. A total of 7 nonnative species were collected: Convict/Zebra Cichlid (</span><i>Cichlasoma nigrofasciatum</i><span>), Green Swordtail (</span><i>Xiphophorus hellerii</i><span>), Tadpole Madtom (</span><i>Noturus gyrinus</i><span>), Guppy (</span><i>Poecilia reticulata</i><span>), Goldfish (</span><i>Carassius auratus</i><span>), red-rimmed melania snail (</span><i>Melanoides tuberculata</i><span>), and American bullfrog tadpoles (</span><i>Lithobates catesbeianus</i><span>). Nonnative fish (Zebra Cichlids and Green Swordtails), red-rimmed melania snails, and bullfrog tadpoles dominated the upper 2 km of the system. Abundance estimates of the Zebra Cichlid exceeded 12,000 fish/km immediately downstream of the spring source. Relative abundance of native species increased movingdownstream as water temperatures attenuated with distance from the thermally warmed spring source; however, nonnative species were captured 4 km downstream from the spring. Fish diseases were prevalent in both native and nonnative fish from the Kelly Warm Spring pond.<span>&nbsp;</span></span><i>Clinostomum marginatum,<span>&nbsp;</span></i><span>a trematode parasite, was found in native species samples, and the tapeworm<span>&nbsp;</span></span><i>Diphyllobothrium dendriticum<span>&nbsp;</span></i><span>was present in samples from nonnative species.<span>&nbsp;</span></span><i>Diphyllobothrium dendriticum<span>&nbsp;</span></i><span>is rare in Wyoming.<span>&nbsp;</span></span><i>Salmonella<span>&nbsp;</span></i><span>spp. were also found in some samples of nonnative species. These bacteria are associated with aquarium fish and aquaculture and are generally not found in the wild.</span></p>","language":"English","publisher":"Monte L. Bean Life Science Museum, Brigham Young University","doi":"10.3398/064.077.0405","usgsCitation":"Harper, D., and Farag, A., 2017, The thermal regime and species composition of fish and invertebrates in Kelly Warm Spring, Grand Teton National Park, Wyoming: Western North American Naturalist, v. 77, no. 4, p. 440-449, https://doi.org/10.3398/064.077.0405.","productDescription":"10 p.","startPage":"440","endPage":"449","ipdsId":"IP-083872","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":488736,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://scholarsarchive.byu.edu/wnan/vol77/iss4/4","text":"External Repository"},{"id":351236,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Grand Teton National Park, Kelly Warm Spring","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -110.61748623847961,\n              43.63864915229675\n            ],\n            [\n              -110.61528682708739,\n              43.63864915229675\n            ],\n            [\n              -110.61528682708739,\n              43.63986428872045\n            ],\n            [\n              -110.61748623847961,\n              43.63986428872045\n            ],\n            [\n              -110.61748623847961,\n              43.63864915229675\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"77","issue":"4","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a7c1e77e4b00f54eb229308","contributors":{"authors":[{"text":"Harper, David 0000-0001-7061-8461 david_harper@usgs.gov","orcid":"https://orcid.org/0000-0001-7061-8461","contributorId":169848,"corporation":false,"usgs":true,"family":"Harper","given":"David","email":"david_harper@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":727507,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Farag, Aida 0000-0003-4247-6763 aida_farag@usgs.gov","orcid":"https://orcid.org/0000-0003-4247-6763","contributorId":200690,"corporation":false,"usgs":true,"family":"Farag","given":"Aida","email":"aida_farag@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":727508,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70195253,"text":"70195253 - 2017 - CYP1A protein expression and catalytic activity in double-crested cormorants experimentally exposed to Deepwater Horizon Mississippi Canyon 252 oil","interactions":[],"lastModifiedDate":"2018-04-03T13:52:15","indexId":"70195253","displayToPublicDate":"2017-12-31T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1480,"text":"Ecotoxicology and Environmental Safety","active":true,"publicationSubtype":{"id":10}},"title":"CYP1A protein expression and catalytic activity in double-crested cormorants experimentally exposed to Deepwater Horizon Mississippi Canyon 252 oil","docAbstract":"<p><span>Double-crested cormorants (</span><i>Phalacrocorax auritus</i><span>, DCCO) were orally exposed to Deepwater Horizon Mississippi Canyon 252 (DWH) oil to investigate oil-induced toxicological impacts. Livers were collected for multiple analyses including cytochrome P4501A (CYP1A) enzymatic activity and protein expression. CYP1A enzymatic activity was measured by alkoxyresorufin O-dealkylase (AROD) assays. Activities specific to the O-dealkylation of four resorufin ethers are reported: benzyloxyresorufin O-debenzylase (BROD), ethoxyresorufin O-deethylase (EROD), methoxyresorufin O-demethylase (MROD), and pentoxyresorufin O-depentylase (PROD). CYP1A protein expression was measured by western blot analysis with a CYP1A1 mouse monoclonal antibody. In study 1, hepatic BROD, EROD, and PROD activities were significantly induced in DCCO orally exposed to 20</span><span>&nbsp;</span><span>ml/kg body weight (bw) oil as a single dose or daily for 5 days. Western blot analysis revealed hepatic CYP1A protein induction in both treatment groups. In study 2 (5</span><span>&nbsp;</span><span>ml/kg bw oil or 10</span><span>&nbsp;</span><span>ml/kg bw oil, 21</span><span>&nbsp;</span><span>day exposure), all four hepatic ARODs were significantly induced. Western blots showed an increase in hepatic CYP1A expression in both treatment groups with a significant induction in birds exposed to 10</span><span>&nbsp;</span><span>ml/kg oil. Significant correlations were detected among all 4 AROD activities in both studies and between CYP1A protein expression and both MROD and PROD activities in study 2. EROD activity was highest for both treatment groups in both studies while BROD activity had the greatest fold-induction. While PROD activity values were consistently low, the fold-induction was high, usually 2nd highest to BROD activity. The observed induced AROD profiles detected in the present studies suggest both CYP1A4/1A5 DCCO isoforms are being induced after MC252 oil ingestion. A review of the literature on avian CYP1A AROD activity levels and protein expression after exposure to CYP1A inducers highlights the need for species-specific studies to accurately evaluate avian exposure to oil.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecoenv.2017.05.015","usgsCitation":"Alexander, C.R., Hooper, M.J., Cacela, D., Smelker, K.D., Calvin, C.S., Dean, K.M., Bursian, S.J., Cunningham, F.L., Hanson-Dorr, K.C., Horak, K.E., Isanhart, J.P., Link, J.E., Shriner, S.A., and Godard-Codding, C.A., 2017, CYP1A protein expression and catalytic activity in double-crested cormorants experimentally exposed to Deepwater Horizon Mississippi Canyon 252 oil: Ecotoxicology and Environmental Safety, v. 146, p. 68-75, https://doi.org/10.1016/j.ecoenv.2017.05.015.","productDescription":"8 p.","startPage":"68","endPage":"75","ipdsId":"IP-084070","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":351214,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"146","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a7acd1fe4b00f54eb20c58f","contributors":{"authors":[{"text":"Alexander, Courtney R.","contributorId":202101,"corporation":false,"usgs":false,"family":"Alexander","given":"Courtney","email":"","middleInitial":"R.","affiliations":[{"id":36344,"text":"The Institute of Environmental and Human Health, Texas Tech University, Lubbock, TX","active":true,"usgs":false}],"preferred":false,"id":727638,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hooper, Michael J. 0000-0002-4161-8961 mhooper@usgs.gov","orcid":"https://orcid.org/0000-0002-4161-8961","contributorId":3251,"corporation":false,"usgs":true,"family":"Hooper","given":"Michael","email":"mhooper@usgs.gov","middleInitial":"J.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":727637,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cacela, Dave","contributorId":193135,"corporation":false,"usgs":false,"family":"Cacela","given":"Dave","email":"","affiliations":[{"id":36281,"text":"Abt Associates, Boulder, CO","active":true,"usgs":false}],"preferred":false,"id":727639,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smelker, Kim D.","contributorId":202102,"corporation":false,"usgs":false,"family":"Smelker","given":"Kim","email":"","middleInitial":"D.","affiliations":[{"id":36344,"text":"The Institute of Environmental and Human Health, Texas Tech University, Lubbock, TX","active":true,"usgs":false}],"preferred":false,"id":727640,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Calvin, Caleshia S.","contributorId":202103,"corporation":false,"usgs":false,"family":"Calvin","given":"Caleshia","email":"","middleInitial":"S.","affiliations":[{"id":36344,"text":"The Institute of Environmental and Human Health, Texas Tech University, Lubbock, TX","active":true,"usgs":false}],"preferred":false,"id":727641,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dean, Karen M.","contributorId":201896,"corporation":false,"usgs":false,"family":"Dean","given":"Karen","email":"","middleInitial":"M.","affiliations":[{"id":36281,"text":"Abt Associates, Boulder, CO","active":true,"usgs":false}],"preferred":false,"id":727642,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bursian, Steve J.","contributorId":202104,"corporation":false,"usgs":false,"family":"Bursian","given":"Steve","email":"","middleInitial":"J.","affiliations":[{"id":36345,"text":"Department of Animal Science, Michigan State University, East Lansing, MI","active":true,"usgs":false}],"preferred":false,"id":727643,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Cunningham, Fred L.","contributorId":176522,"corporation":false,"usgs":false,"family":"Cunningham","given":"Fred","email":"","middleInitial":"L.","affiliations":[{"id":36282,"text":"USDA National Wildlife Research Center (NWRC) Mississippi Field Station, Starkville, MS","active":true,"usgs":false}],"preferred":false,"id":727644,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hanson-Dorr, Katie C.","contributorId":201900,"corporation":false,"usgs":false,"family":"Hanson-Dorr","given":"Katie","email":"","middleInitial":"C.","affiliations":[{"id":36282,"text":"USDA National Wildlife Research Center (NWRC) Mississippi Field Station, Starkville, MS","active":true,"usgs":false}],"preferred":false,"id":727645,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Horak, Katherine E.","contributorId":201903,"corporation":false,"usgs":false,"family":"Horak","given":"Katherine","email":"","middleInitial":"E.","affiliations":[{"id":36283,"text":"USDA NWRC, Denver, CO","active":true,"usgs":false}],"preferred":false,"id":727646,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Isanhart, John P.","contributorId":201904,"corporation":false,"usgs":false,"family":"Isanhart","given":"John","email":"","middleInitial":"P.","affiliations":[{"id":36287,"text":"USDOI Office of Restoration and Damage Assessment, Denver, CO","active":true,"usgs":false}],"preferred":false,"id":727647,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Link, Jane E.","contributorId":201906,"corporation":false,"usgs":false,"family":"Link","given":"Jane","email":"","middleInitial":"E.","affiliations":[{"id":26875,"text":"Michigan State University, East Lansing, MI","active":true,"usgs":false}],"preferred":false,"id":727648,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Shriner, Susan A.","contributorId":168690,"corporation":false,"usgs":false,"family":"Shriner","given":"Susan","email":"","middleInitial":"A.","affiliations":[{"id":13407,"text":"Colorado State Univ.","active":true,"usgs":false}],"preferred":false,"id":727649,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Godard-Codding, Celine A.J.","contributorId":202105,"corporation":false,"usgs":false,"family":"Godard-Codding","given":"Celine","email":"","middleInitial":"A.J.","affiliations":[{"id":36344,"text":"The Institute of Environmental and Human Health, Texas Tech University, Lubbock, TX","active":true,"usgs":false}],"preferred":false,"id":727650,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70197040,"text":"70197040 - 2017 - Occupancy and abundance of Eleutherodactylus wightmanae and E. brittoni along elevational gradients in west-central Puerto Rico","interactions":[],"lastModifiedDate":"2020-12-16T16:49:09.712772","indexId":"70197040","displayToPublicDate":"2017-12-31T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5533,"text":"Caribbean Naturalist","onlineIssn":"2326-7119","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Occupancy and abundance of <i>Eleutherodactylus wightmanae</i> and <i>E. brittoni</i> along elevational gradients in west-central Puerto Rico","title":"Occupancy and abundance of Eleutherodactylus wightmanae and E. brittoni along elevational gradients in west-central Puerto Rico","docAbstract":"<p>Populations of&nbsp;<i>Eleutherodactylus&nbsp;</i>species in Puerto Rico have declined in recent decades due to habitat loss and long-term climatic changes. The conservation of these habitat specialists requires an understanding of factors influencing their abundance and distribution, which at present is scant. We estimated occupancy probability and the probability of encountering&nbsp;<span>≥2 individuals of <i>E. wightmanae&nbsp;</i>(Melodius Coqui or Wightman's Robber Frog) and&nbsp;<i>E. brittoni&nbsp;</i>(Grass Coqui), species with contrasting habitat affinities, using multi-season, multi-state occupancy models. These parameters also served as an index&nbsp;of abundance (non-presence, 1, and&nbsp;≥2 individuals). We modeled parameters as a function of seasonal temperature and humidity, long-term average monthly precipitation, and habitat covariates measured at survey sites along 2 elevation gradients in the southern slopes of west-central Puerto Rico. We collected survey data using passive acoustic recorders during 3 seasonal periods between February and July 2015. Occupancy patterns of both species was unimodal, containing higher probabilities (e.g.,&nbsp;≥0.5) at elevations between 400 m and 700 m, where long-term monthly precipitation varied between 120 mm and 160 mm. Chances of encountering&nbsp;≥2 individuals increased with ground cover for&nbsp;<span id=\"_mce_caret\" data-mce-bogus=\"true\"><i>﻿E. brittoni</i><span id=\"_mce_caret\" data-mce-bogus=\"true\">﻿, and decreased with increasing canopy cover for&nbsp;<i>E. wightmanae</i>. Seasonal temperature and relative humidity did not influence occupancy or the probability of encountering&nbsp;≥2 individuals, likely because covariates varied within known tolerance levels for&nbsp;<span id=\"_mce_caret\" data-mce-bogus=\"true\"><i>﻿Eleutherodactylus</i><span id=\"_mce_caret\" data-mce-bogus=\"true\">﻿. Our findings help reduce local extinction probability through management of habitat conditions that increase the likelihood of encountering&nbsp;≥2 individuals. We also detailed an analytical framework suitable to test hypotheses aimed at predicting potential impacts from land use and climatic changes, and species responses to conservation actions.</span></span></span></span></span></p>","language":"English","publisher":"Eagle Hill Institute","usgsCitation":"Monroe, K.D., Collazo, J., Pacifici, K., Reich, B.J., Puente-Rolon, A.R., and Terando, A.J., 2017, Occupancy and abundance of Eleutherodactylus wightmanae and E. brittoni along elevational gradients in west-central Puerto Rico: Caribbean Naturalist, v. 40, p. 1-18.","productDescription":"18 p.","startPage":"1","endPage":"18","onlineOnly":"Y","ipdsId":"IP-077348","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":354159,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":381419,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.eaglehill.us/CANAonline/CANA-access-pages/CANA-regular/CANA-040-Collazo.shtml"}],"country":"United States","state":"Puerto Rico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -67.445068359375,\n              17.78007412664325\n            ],\n            [\n              -65.19287109375,\n              17.78007412664325\n            ],\n            [\n              -65.19287109375,\n              18.729501999072138\n            ],\n            [\n              -67.445068359375,\n              18.729501999072138\n            ],\n            [\n              -67.445068359375,\n              17.78007412664325\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"40","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee788e4b0da30c1bfc2d2","contributors":{"authors":[{"text":"Monroe, Kelen D.","contributorId":200135,"corporation":false,"usgs":false,"family":"Monroe","given":"Kelen","email":"","middleInitial":"D.","affiliations":[{"id":33914,"text":"North Carolina State University, Raleigh","active":true,"usgs":false}],"preferred":false,"id":735339,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Collazo, Jaime A. 0000-0002-1816-7744 jaime_collazo@usgs.gov","orcid":"https://orcid.org/0000-0002-1816-7744","contributorId":173448,"corporation":false,"usgs":true,"family":"Collazo","given":"Jaime A.","email":"jaime_collazo@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":735337,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pacifici, Krishna","contributorId":26564,"corporation":false,"usgs":false,"family":"Pacifici","given":"Krishna","email":"","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":735340,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reich, Brian J.","contributorId":150871,"corporation":false,"usgs":false,"family":"Reich","given":"Brian","email":"","middleInitial":"J.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":735341,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Puente-Rolon, Alberto R.","contributorId":42498,"corporation":false,"usgs":true,"family":"Puente-Rolon","given":"Alberto","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":735342,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Terando, Adam J. 0000-0002-9280-043X aterando@usgs.gov","orcid":"https://orcid.org/0000-0002-9280-043X","contributorId":173447,"corporation":false,"usgs":true,"family":"Terando","given":"Adam","email":"aterando@usgs.gov","middleInitial":"J.","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":735343,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70193663,"text":"sir20175133 - 2017 - Simulations of hydrologic response in the Apalachicola-Chattahoochee-Flint River Basin, Southeastern United States","interactions":[],"lastModifiedDate":"2018-01-02T13:23:03","indexId":"sir20175133","displayToPublicDate":"2017-12-29T15:45:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-5133","title":"Simulations of hydrologic response in the Apalachicola-Chattahoochee-Flint River Basin, Southeastern United States","docAbstract":"<p>A suite of hydrologic models has been developed for the Apalachicola-Chattahoochee-Flint River Basin (ACFB) as part of the National Water Census, a U.S. Geological Survey research program that focuses on developing new water accounting tools and assessing water availability and use at the regional and national scales. Seven hydrologic models were developed using the Precipitation-Runoff Modeling System (PRMS), a deterministic, distributed-parameter, process-based system that simulates the effects of precipitation, temperature, land cover, and water use on basin hydrology. A coarse-resolution PRMS model was developed for the entire ACFB, and six fine-resolution PRMS models were developed for six subbasins of the ACFB. The coarse-resolution model was loosely coupled with a groundwater model to better assess the effects of water use on streamflow in the lower ACFB, a complex geologic setting with karst features. The PRMS coarse-resolution model was used to provide inputs of recharge to the groundwater model, which in turn provide simulations of groundwater flow that were aggregated with PRMS-based simulations of surface runoff and shallow-subsurface flow. Simulations without the effects of water use were developed for each model for at least the calendar years 1982–2012 with longer periods for the Potato Creek subbasin (1942–2012) and the Spring Creek subbasin (1952–2012). Water-use-affected flows were simulated for 2008–12. Water budget simulations showed heterogeneous distributions of precipitation, actual evapotranspiration, recharge, runoff, and storage change across the ACFB. Streamflow volume differences between no-water-use and water-use simulations were largest along the main stem of the Apalachicola and Chattahoochee River Basins, with streamflow percentage differences largest in the upper Chattahoochee and Flint River Basins and Spring Creek in the lower Flint River Basin. Water-use information at a shorter time step and a fully coupled simulation in the lower ACFB may further improve water availability estimates and hydrologic simulations in the basin.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175133","collaboration":"U.S. Geological Survey National Water Census and  Water Availability and Use Science Program","usgsCitation":"LaFontaine, J.H., Jones, L.E., and Painter, J.A., 2017, Simulations of hydrologic response in the Apalachicola-Chattahoochee-Flint River Basin, Southeastern United States: U.S. Geological Survey Scientific Investigations Report 2017–5133, 112 p., https://doi.org/10.3133/sir20175133.","productDescription":"Report: x, 112 p.; Data Release","numberOfPages":"126","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-075742","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":350203,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5133/sir20175133.pdf","text":"Report","size":"32.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017-5133"},{"id":350251,"rank":4,"type":{"id":7,"text":"Companion Files"},"url":"https://doi.org/10.3133/sir20175141","text":"Scientific Investigations Report 2017-5141","linkHelpText":"- Groundwater-Flow Budget for the Lower Apalachicola-Chattahoochee-Flint River Basin in Southwestern Georgia and Parts of Florida and Alabama, 2008–12"},{"id":350202,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5133/coverthb.jpg"},{"id":350244,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7FJ2F1R","text":"USGS data release","description":"USGS data release","linkHelpText":"Model Input and Output for Hydrologic Simulations of the Apalachicola-Chattahoochee-Flint River Basin using the Precipitation Runoff Modeling System"}],"country":"United States","otherGeospatial":"Apalachicola-Chattahoochee-Flint River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -85.660400390625,\n              29.726222319395504\n            ],\n            [\n              -83.397216796875,\n              29.726222319395504\n            ],\n            [\n              -83.397216796875,\n              34.88593094075317\n            ],\n            [\n              -85.660400390625,\n              34.88593094075317\n            ],\n            [\n              -85.660400390625,\n              29.726222319395504\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_sc@usgs.gov\" data-mce-href=\"mailto:dc_sc@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/water/southatlantic/\" data-mce-href=\"https://www.usgs.gov/water/southatlantic/\">South Atlantic Water Science Center</a> <br> U.S. Geological Survey <br> 720 Gracern Road <br> Stephenson Center, Suite 129 <br> Columbia, SC 29210</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Hydrologic Description of the ACFB</li><li>Hydrologic Simulation Methods Used for Modeling the ACFB</li><li>Hydrologic Simulations and Streamflow Statistics in the ACFB</li><li>Discussion</li><li>Model Limitations</li><li>Summary</li><li>Acknowledgments</li><li>References Cited</li><li>Appendix 1.&nbsp;Construction, Calibration, and Evaluation of the Apalachicola-Chattahoochee-Flint River Basin (ACFB) Coarse-Resolution Hydrologic Model&nbsp;</li><li>Appendix 2.&nbsp;Construction, Calibration, and Evaluation of Fine-Resolution Hydrologic Models&nbsp;of Six Subbasins of the Apalachicola-Chattahoochee-Flint River Basin (ACFB)</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2017-12-29","noUsgsAuthors":false,"publicationDate":"2017-12-29","publicationStatus":"PW","scienceBaseUri":"5a60fae0e4b06e28e9c228bd","contributors":{"authors":[{"text":"LaFontaine, Jacob H. 0000-0003-4923-2630 jlafonta@usgs.gov","orcid":"https://orcid.org/0000-0003-4923-2630","contributorId":2258,"corporation":false,"usgs":true,"family":"LaFontaine","given":"Jacob","email":"jlafonta@usgs.gov","middleInitial":"H.","affiliations":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":719829,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, L. Elliott 0000-0002-7394-2053 lejones@usgs.gov","orcid":"https://orcid.org/0000-0002-7394-2053","contributorId":4491,"corporation":false,"usgs":true,"family":"Jones","given":"L.","email":"lejones@usgs.gov","middleInitial":"Elliott","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":false,"id":719830,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Painter, Jaime A. 0000-0001-8883-9158 jpainter@usgs.gov","orcid":"https://orcid.org/0000-0001-8883-9158","contributorId":1466,"corporation":false,"usgs":true,"family":"Painter","given":"Jaime","email":"jpainter@usgs.gov","middleInitial":"A.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":719831,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70194814,"text":"sir20175141 - 2017 - Groundwater-flow budget for the lower Apalachicola-Chattahoochee-Flint River Basin in southwestern Georgia and parts of   Florida and Alabama, 2008–12","interactions":[],"lastModifiedDate":"2018-01-02T13:28:49","indexId":"sir20175141","displayToPublicDate":"2017-12-29T15:45:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-5141","title":"Groundwater-flow budget for the lower Apalachicola-Chattahoochee-Flint River Basin in southwestern Georgia and parts of   Florida and Alabama, 2008–12","docAbstract":"<p>As part of the National Water Census program in the Apalachicola-Chattahoochee-Flint (ACF) River Basin, the U.S. Geological Survey evaluated the groundwater budget of the lower ACF, with particular emphasis on recharge, characterizing the spatial and temporal relation between surface water and groundwater, and groundwater pumping. To evaluate the hydrologic budget of the lower ACF River Basin, a groundwater-flow model, constructed using MODFLOW-2005, was developed for the Upper Floridan aquifer and overlying semiconfining unit for 2008–12. Model input included temporally and spatially variable specified recharge, estimated using a Precipitation-Runoff Modeling System (PRMS) model for the ACF River Basin, and pumping, partly estimated on the basis of measured agricultural pumping rates in Georgia. The model was calibrated to measured groundwater levels and base flows, which were estimated using hydrograph separation.</p><p>The simulated groundwater-flow budget resulted in a small net cumulative loss of groundwater in storage during the study period. The model simulated a net loss in groundwater storage for all the subbasins as conditions became substantially drier from the beginning to the end of the study period. The model is limited by its conceptualization, the data used to represent and calibrate the model, and the mathematical representation of the system; therefore, any interpretations should be considered in light of these limitations. In spite of these limitations, the model provides insight regarding water availability in the lower ACF River Basin.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175141","collaboration":"U.S. Geological Survey National Water Census and  Water Availability and Use Science Program","usgsCitation":"Jones, L.E., Painter, Jaime, LaFontaine, Jacob, Sepulveda, Nicasio, and Sifuentes, D.F., 2017, Groundwater-flow budget for the lower Apalachicola-Chattahoochee-Flint River Basin in southwestern Georgia and parts of  \nFlorida and Alabama, 2008–12: U.S. Geological Survey Scientific Investigations Report 2017–5141, 76 p.,  \nhttps://doi.org/10.3133/sir20175141.","productDescription":"Report: viii, 76 p.; Data Release","numberOfPages":"88","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":350246,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5141/coverthb.jpg"},{"id":350249,"rank":4,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/publication/sir20175133","text":"Scientific Investigations Report 2017-5133","linkHelpText":"- Simulations of Hydrologic Response in the Apalachicola-Chattahoochee-Flint River Basin, Southeastern United States"},{"id":350247,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5141/sir20175141.pdf","text":"Report","size":"10.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017-5141"},{"id":350248,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7DV1HCG","text":"USGS data release","description":"USGS data release"}],"country":"United States","state":"Alabama, Florida, Georgia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -85.5,\n              30.5\n            ],\n            [\n              -83.75,\n              30.5\n            ],\n            [\n              -83.75,\n              32.25\n            ],\n            [\n              -85.5,\n              32.25\n            ],\n            [\n              -85.5,\n              30.5\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_sc@usgs.gov\" data-mce-href=\"mailto:dc_sc@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/water/southatlantic/\" data-mce-href=\"https://www.usgs.gov/water/southatlantic/\">South Atlantic Water Science Center</a> <br> U.S. Geological Survey<br> 720 Gracern Road <br> Stephenson Center, Suite 129 <br> Columbia, SC 29210</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Description of the Study Area</li><li>Hydrologic Budget</li><li>Discussion</li><li>Model Limitations</li><li>Summary</li><li>Acknowledgments</li><li>References Cited</li><li>Appendix 1. Model Construction and Calibration</li></ul>","publishedDate":"2017-12-29","noUsgsAuthors":false,"publicationDate":"2017-12-29","publicationStatus":"PW","scienceBaseUri":"5a60fae0e4b06e28e9c228ba","contributors":{"authors":[{"text":"Jones, L. Elliott 0000-0002-7394-2053 lejones@usgs.gov","orcid":"https://orcid.org/0000-0002-7394-2053","contributorId":4491,"corporation":false,"usgs":true,"family":"Jones","given":"L.","email":"lejones@usgs.gov","middleInitial":"Elliott","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":false,"id":725337,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Painter, Jaime A. 0000-0001-8883-9158 jpainter@usgs.gov","orcid":"https://orcid.org/0000-0001-8883-9158","contributorId":1466,"corporation":false,"usgs":true,"family":"Painter","given":"Jaime","email":"jpainter@usgs.gov","middleInitial":"A.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":725338,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"LaFontaine, Jacob H. 0000-0003-4923-2630 jlafonta@usgs.gov","orcid":"https://orcid.org/0000-0003-4923-2630","contributorId":2258,"corporation":false,"usgs":true,"family":"LaFontaine","given":"Jacob","email":"jlafonta@usgs.gov","middleInitial":"H.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":725339,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sepulveda, Nicasio 0000-0002-6333-1865 nsepul@usgs.gov","orcid":"https://orcid.org/0000-0002-6333-1865","contributorId":1454,"corporation":false,"usgs":true,"family":"Sepulveda","given":"Nicasio","email":"nsepul@usgs.gov","affiliations":[{"id":5051,"text":"FLWSC-Orlando","active":true,"usgs":true}],"preferred":true,"id":725340,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sifuentes, Dorothy F. dsifuentes@usgs.gov","contributorId":4879,"corporation":false,"usgs":true,"family":"Sifuentes","given":"Dorothy F.","email":"dsifuentes@usgs.gov","affiliations":[{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true}],"preferred":true,"id":725341,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70191425,"text":"sir20175110 - 2017 - Baseline assessment of groundwater quality in Pike County, Pennsylvania, 2015","interactions":[],"lastModifiedDate":"2018-01-02T13:17:07","indexId":"sir20175110","displayToPublicDate":"2017-12-29T14:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-5110","title":"Baseline assessment of groundwater quality in Pike County, Pennsylvania, 2015","docAbstract":"<p>The Devonian-age Marcellus Shale and the Ordovician-age Utica Shale, which have the potential for natural gas development, underlie Pike County and neighboring counties in northeastern Pennsylvania. In 2015, the U.S. Geological Survey, in cooperation with the Pike County Conservation District, conducted a study that expanded on a previous more limited 2012 study to assess baseline shallow groundwater quality in bedrock aquifers in Pike County prior to possible extensive shale-gas development. Seventy-nine water wells ranging in depths from 80 to 610 feet were sampled during June through September 2015 to provide data on the presence of methane and other aspects of existing groundwater quality in the various bedrock geologic units throughout the county, including concentrations of inorganic constituents commonly present at low values in shallow, fresh groundwater but elevated in brines associated with fluids extracted from geologic formations during shale-gas development. All groundwater samples collected in 2015 were analyzed for bacteria, dissolved and total major ions, nutrients, selected dissolved and total inorganic trace constituents (including metals and other elements), radon-222, gross alpha- and gross beta-particle activity, dissolved gases (methane, ethane, and propane), and, if sufficient methane was present, the isotopic composition of methane. Additionally, samples from 20 wells distributed throughout the county were analyzed for selected man-made volatile organic compounds, and samples from 13&nbsp;wells where waters had detectable gross alpha activity were analyzed for radium-226 on the basis of relatively elevated gross alpha-particle activity.</p><p>Results of the 2015 study show that groundwater quality generally met most drinking-water standards for constituents and properties included in analyses, but groundwater samples from some wells had one or more constituents or properties, including arsenic, iron, manganese, pH, bacteria, sodium, chloride, sulfate, total dissolved solids, and radon-222, that did not meet (commonly termed failed or exceeded) primary or secondary maximum contaminant levels (MCLs) or Health Advisories (HA) for drinking water. Except for iron, dissolved and total concentrations of major ions and most trace constituents generally were similar. Only 1 of 79 well-water samples had any constituent that exceeded a MCL, with an arsenic concentration of about 30 micrograms per liter (µg/L) that was higher than the MCL of 10 µg/L. However, total arsenic concentrations were higher than the HA of 2 µg/L in samples from another 12 of 79 wells (about 15&nbsp;percent). Secondary maximum contaminant levels (SMCLs) were exceeded most frequently by pH and concentrations of iron and manganese. The pH was outside of the SMCL range of 6.5–8.5 in samples from 24 of 79&nbsp;wells (30 percent), ranging from 5.5 to 9.2; more samples had pH values less than 6.5 than had pH values greater than 8.5. Total iron concentrations typically were much greater than dissolved iron concentrations, indicating substantial presence of iron in particulate phase, and exceeded the SMCL of 300 µg/L more often [35 of 79 samples (44 percent)] than dissolved iron concentrations [samples from 8 of 79 wells (10 percent)]. Total manganese concentrations exceeded the SMCL of 50&nbsp;µg/L in samples from 31 of 79&nbsp;wells (39 percent) and the HA of 300&nbsp;µg/L in samples from 13 of 79 wells (about 16&nbsp;percent). A few (1–2) samples had concentrations of sodium, chloride, sulfate, or TDS higher than the SMCLs of 60, 250, 250, and 500 mg/L, respectively. However, dissolved sodium concentrations were higher than the HA of 20 mg/L in samples from 15 of 79 wells (nearly 20 percent). Total coliform bacteria were detected in samples from 25 of 79&nbsp;wells (32&nbsp;percent) but <i>Escherichia coli</i> were not detected in any sample. Radon-222 activities ranged from 11 to 5,100&nbsp;picocuries per liter (pCi/L), with a median of 1,440&nbsp;pCi/L, and exceeded the proposed and the alternate proposed drinking-water standards of 300 and 4,000 pCi/L, respectively, in samples from 60 of 79 wells (75 percent) and in samples from 2 of 79 wells (3 percent), respectively.</p><p>Groundwater samples from all wells were analyzed for dissolved methane by one contract laboratory that determined water from 19 of the 79 wells (24 percent) had concentrations of methane greater than the reporting level of 0.010 milligrams per liter (mg/L) with a maximum methane concentration of 2.5 mg/L. Methane concentrations in 18 replicate samples submitted to a second laboratory for dissolved gas and isotopic analysis generally were higher by as much as a factor of 2.7 from those determined by the first laboratory, indicating potential bias related to combined sampling and analytical methods, and therefore, caution needs to be used when comparing methane results determined by different methods. The isotopic composition of methane in 9 of 10 samples with sufficient dissolved methane (about 0.3 mg/L) for isotopic analysis is consistent with values reported for methane of microbial origin produced through carbon dioxide reduction; an isotopic shift in 1 or 2 samples may indicate subsequent methane oxidation. The low concentrations of ethane relative to methane in these samples further indicate that the methane may be of microbial origin. Groundwater samples with relatively elevated methane concentrations (near or greater than 0.3 mg/L) also had chemical compositions that differed in some respects from groundwater with relatively low methane concentrations (less than 0.3 mg/L) by having higher pH (greater than 8) and higher concentrations of sodium, lithium, boron, fluoride, arsenic, and bromide and chloride/bromide ratios indicative of mixing with a small amount of brine of probable natural occurrence.</p><p>The spatial distribution of groundwater compositions differs by topographic setting and lithology and generally shows that (1) relatively dilute, slightly acidic, oxygenated, calcium-carbonate type waters tend to occur in the uplands underlain by the undivided Poplar Gap and Packerton members of the Catskill Formation in southwestern Pike County; (2) waters of near neutral pH with the highest amounts of hardness (calcium and magnesium) generally occur in areas of intermediate altitudes underlain by other members of the Catskill Formation; and (3) waters with pH values greater than 8, low oxygen concentrations, and the highest arsenic, sodium, lithium, bromide, and methane concentrations can be present in deep wells in uplands but most frequently occur in stream valleys, especially at low altitudes (less than about 1,200 feet above North American Vertical Datum of 1988) where groundwater may be discharging regionally, such as to the Delaware River in northern and eastern Pike County. Thus, the baseline assessment of groundwater quality in Pike County prior to gas-well development shows that shallow (less than about 1,000 feet deep) groundwater generally meets primary drinking-water standards for inorganic constituents but varies spatially, with methane and some constituents present in high concentrations in brine (and connate waters from gas and oil reservoirs) present at low to moderate concentrations in some parts of Pike County.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175110","collaboration":"Prepared in cooperation with the Pike County Conservation District","usgsCitation":"Senior, L.A., and Cravotta, C.A., III, 2017: Baseline assessment of groundwater quality in Pike County, Pennsylvania, 2015: U.S. Geological Survey Scientific Investigations Report 2017–5110, 181 p., https://doi.org/10.3133/sir20175110.","productDescription":"Report: xii, 181 p.; Data Release","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-088156","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":350196,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://www.sciencebase.gov/catalog/item/5980c3c0e4b0a38ca278a8c9","text":"USGS Data Release","linkHelpText":"Field properties and results of laboratory analysis of groundwater samples collected from 79 wells in Pike County, Pennsylvania, 1982-2015"},{"id":438120,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F75T3JDK","text":"USGS data release","linkHelpText":"Field properties and results of laboratory analysis of groundwater samples collected from 79 wells in Pike County, Pennsylvania, 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Pennsylvania Water Science Center<br> U.S. Geological Survey<br> 215 Limekiln Road<br> New Cumberland, PA 17070-2424<br> <a href=\"http://pa.water.usgs.gov\" data-mce-href=\"http://pa.water.usgs.gov\">http://pa.water.usgs.gov</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Methods of Sample Collection and Analysis</li><li>Baseline Groundwater Quality in Pike County</li><li>Relation of Water Quality to Geochemical and Hydrogeologic Setting</li><li>Summary and Conclusions</li><li>References Cited</li><li>Appendixes</li></ul>","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2017-12-29","noUsgsAuthors":false,"publicationDate":"2017-12-29","publicationStatus":"PW","scienceBaseUri":"5a60fae0e4b06e28e9c228c1","contributors":{"authors":[{"text":"Senior, Lisa A. 0000-0003-2629-1996 lasenior@usgs.gov","orcid":"https://orcid.org/0000-0003-2629-1996","contributorId":2150,"corporation":false,"usgs":true,"family":"Senior","given":"Lisa","email":"lasenior@usgs.gov","middleInitial":"A.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":712203,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cravotta, Charles A. III 0000-0003-3116-4684 cravotta@usgs.gov","orcid":"https://orcid.org/0000-0003-3116-4684","contributorId":196993,"corporation":false,"usgs":true,"family":"Cravotta","given":"Charles A.","suffix":"III","email":"cravotta@usgs.gov","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":false,"id":712204,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70239142,"text":"70239142 - 2017 - Geochemical modeling for mine site characterization and remediation","interactions":[],"lastModifiedDate":"2022-12-29T13:18:23.296274","indexId":"70239142","displayToPublicDate":"2017-12-29T07:17:01","publicationYear":"2017","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":13,"text":"Handbook"},"displayTitle":"Geochemical Modeling for Mine Site Characterization and Remediation","title":"Geochemical modeling for mine site characterization and remediation","docAbstract":"<p><i>Geochemical Modeling for Mine Site Characterization and Remediation</i><span>&nbsp;is the fourth of six volumes in the Management Technologies for Metal Mining Infl uenced Water series about technologies for management of metal mine and metallurgical process drainage.</span><br><br><span>This handbook describes the important components of hydrogeochemical modeling for mine environments, primarily those mines where sulfi de minerals are present—metal mines and coal mines.</span><br><br><span>It provides general guidelines on the strengths and limitations of geochemical modeling and an overview of its application to the hydrogeochemistry of both unmined mineralized sites and those contaminated from mineral extraction and mineral processing.</span><br><br><span>The handbook includes an overview of the models behind the codes, explains vital geochemical computations, describes several modeling processes, provides a compilation of codes, and gives examples of their application, including both successes and failures.</span><br><br><span>Hydrologic modeling is also included because mining contaminants most often migrate by surface water and groundwater transport, and contaminant concentrations are a function of water residence time as well as pathways.</span><br><br><span>This is an indispensable resource for mine planners and engineers, environmental managers, land managers, consultants, researchers, government regulators, nongovernmental organizations, students, stakeholders, and anyone with an interest in mining influenced water.</span></p>","language":"English","publisher":"Society for Mining, Metallurgy, and Exploration","usgsCitation":"2017, Geochemical modeling for mine site characterization and remediation, v. 4, 552 p.","productDescription":"552 p.","ipdsId":"IP-081485","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":411178,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":411169,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.smenet.org/productdetail?ProductID=3200905"}],"volume":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Nordstrom, D. Kirk 0000-0003-3283-5136 dkn@usgs.gov","orcid":"https://orcid.org/0000-0003-3283-5136","contributorId":749,"corporation":false,"usgs":true,"family":"Nordstrom","given":"D.","email":"dkn@usgs.gov","middleInitial":"Kirk","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":860361,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Nicholson, Andrew","contributorId":300497,"corporation":false,"usgs":false,"family":"Nicholson","given":"Andrew","email":"","affiliations":[{"id":65175,"text":"Integral Consulting, Boulder, CO","active":true,"usgs":false}],"preferred":false,"id":860362,"contributorType":{"id":2,"text":"Editors"},"rank":2}]}}
,{"id":70198042,"text":"70198042 - 2017 - Could changes in the agricultural landscape of northeastern China have influenced the long-distance transmission of highly pathogenic avian influenza H5Nx viruses?","interactions":[],"lastModifiedDate":"2018-07-14T10:32:09","indexId":"70198042","displayToPublicDate":"2017-12-29T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5720,"text":"Frontiers in Veterinary Science","onlineIssn":"2297-1769","active":true,"publicationSubtype":{"id":10}},"title":"Could changes in the agricultural landscape of northeastern China have influenced the long-distance transmission of highly pathogenic avian influenza H5Nx viruses?","docAbstract":"In the last few years, several reassortant subtypes of highly pathogenic avian influenza viruses (HPAI H5Nx) have emerged in East Asia. These new viruses, mostly of subtype H5N1, H5N2, H5N6, and H5N8 belonging to clade 2.3.4.4, have been found in several Asian countries and have caused outbreaks in poultry in China, South Korea, and Vietnam. HPAI H5Nx also have spread over considerable distances with the introduction of viruses belonging to the same 2.3.4.4 clade in the U.S. (2014–2015) and in Europe (2014–2015 and 2016–2017). In this paper, we examine the emergence and spread of these new viruses in Asia in relation to published datasets on HPAI H5Nx distribution, movement of migratory waterfowl, avian influenza risk models, and land-use change analyses. More specifically, we show that between 2000 and 2015, vast areas of northeast China have been newly planted with rice paddy fields (3.21 million ha in Heilongjiang, Jilin, and Liaoning) in areas connected to other parts of Asia through migratory pathways of wild waterfowl. We hypothesize that recent land use changes in northeast China have affected the spatial distribution of wild waterfowl, their stopover areas, and the wild-domestic interface, thereby altering transmission dynamics of avian influenza viruses across flyways. Detailed studies of the habitat use by wild migratory birds, of the extent of the wild–domestic interface, and of the circulation of avian influenza viruses in those new planted areas may help to shed more light on this hypothesis, and on the possible impact of those changes on the long-distance patterns of avian influenza transmission.","language":"English","publisher":"Frontiers","doi":"10.3389/fvets.2017.00225","usgsCitation":"Gilbert, M., Prosser, D.J., Zhang, G., Artois, J., Dhingra, M.S., Tildesley, M.J., Newman, S.H., Guo, F., Black, P., Claes, F., Kalpradvidh, W., Shin, Y., Jeong, W., Takekawa, J.Y., Lee, H., and Xiao, X., 2017, Could changes in the agricultural landscape of northeastern China have influenced the long-distance transmission of highly pathogenic avian influenza H5Nx viruses?: Frontiers in Veterinary Science, Article 225, 8 p., https://doi.org/10.3389/fvets.2017.00225.","productDescription":"Article 225, 8 p.","ipdsId":"IP-090895","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":469228,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fvets.2017.00225","text":"Publisher Index Page"},{"id":355607,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":" China, Japan, North Korea, South Korea","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              103.71093749999999,\n              14.26438308756265\n            ],\n            [\n              153.984375,\n              14.26438308756265\n            ],\n            [\n              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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":739751,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhang, Geli","contributorId":206235,"corporation":false,"usgs":false,"family":"Zhang","given":"Geli","email":"","affiliations":[],"preferred":false,"id":739854,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Artois, Jean","contributorId":206236,"corporation":false,"usgs":false,"family":"Artois","given":"Jean","email":"","affiliations":[],"preferred":false,"id":739855,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dhingra, Madhur S.","contributorId":206237,"corporation":false,"usgs":false,"family":"Dhingra","given":"Madhur","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":739856,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tildesley, Michael J.","contributorId":126971,"corporation":false,"usgs":false,"family":"Tildesley","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":6620,"text":"University of Nottingham, School of Biology","active":true,"usgs":false}],"preferred":false,"id":739857,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Newman, Scott H.","contributorId":199129,"corporation":false,"usgs":false,"family":"Newman","given":"Scott","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":739858,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Guo, Fusheng","contributorId":104209,"corporation":false,"usgs":true,"family":"Guo","given":"Fusheng","email":"","affiliations":[],"preferred":false,"id":739859,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Black, Peter","contributorId":206238,"corporation":false,"usgs":false,"family":"Black","given":"Peter","email":"","affiliations":[],"preferred":false,"id":739860,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Claes, Filip","contributorId":206239,"corporation":false,"usgs":false,"family":"Claes","given":"Filip","email":"","affiliations":[{"id":34936,"text":"UN FAO Regional Office for Asia and the Pacific","active":true,"usgs":false}],"preferred":false,"id":739861,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Kalpradvidh, Wantanee","contributorId":206240,"corporation":false,"usgs":false,"family":"Kalpradvidh","given":"Wantanee","email":"","affiliations":[{"id":34936,"text":"UN FAO Regional Office for Asia and the Pacific","active":true,"usgs":false}],"preferred":false,"id":739862,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Shin, YeunKyung","contributorId":206241,"corporation":false,"usgs":false,"family":"Shin","given":"YeunKyung","email":"","affiliations":[{"id":34936,"text":"UN FAO Regional Office for Asia and the Pacific","active":true,"usgs":false}],"preferred":false,"id":739863,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Jeong, Wooseog","contributorId":206242,"corporation":false,"usgs":false,"family":"Jeong","given":"Wooseog","email":"","affiliations":[],"preferred":false,"id":739864,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Takekawa, John Y. 0000-0003-0217-5907 john_takekawa@usgs.gov","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":196611,"corporation":false,"usgs":true,"family":"Takekawa","given":"John","email":"john_takekawa@usgs.gov","middleInitial":"Y.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":739752,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Lee, Hansoo","contributorId":181788,"corporation":false,"usgs":false,"family":"Lee","given":"Hansoo","email":"","affiliations":[],"preferred":false,"id":739865,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Xiao, Xiangming","contributorId":150759,"corporation":false,"usgs":false,"family":"Xiao","given":"Xiangming","affiliations":[{"id":18095,"text":"Center for Spatial Analysis, U of OK, Norman, OK","active":true,"usgs":false}],"preferred":false,"id":739866,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}}
,{"id":70194809,"text":"ds1072 - 2017 - Chemical quality of water and bottom sediment, Stillwater National Wildlife Refuge, Lahontan Valley, Nevada","interactions":[],"lastModifiedDate":"2019-11-07T12:27:18","indexId":"ds1072","displayToPublicDate":"2017-12-28T00:00:00","publicationYear":"2017","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":"1072","title":"Chemical quality of water and bottom sediment, Stillwater National Wildlife Refuge, Lahontan Valley, Nevada","docAbstract":"<p>The U.S. Geological Survey, in cooperation with the U.S. Fish and Wildlife Service collected data on water and bottom-sediment chemistry to be used to evaluate a new water rights acquisition program designed to enhance wetland habitat in Stillwater National Wildlife Refuge and in Lahontan Valley, Churchill County, Nevada. The area supports habitat critical to the feeding and resting of migratory birds travelling the Pacific Flyway. Information about how water rights acquisitions may affect the quality of water delivered to the wetlands is needed by stakeholders and Stillwater National Wildlife Refuge managers in order to evaluate the effectiveness of this approach to wetlands management. A network of six sites on waterways that deliver the majority of water to Refuge wetlands was established to monitor the quality of streamflow and bottom sediment. Each site was visited every 4 to 6 weeks and selected water-quality field parameters were measured when flowing water was present. Water samples were collected at varying frequencies and analyzed for major ions, silica, and organic carbon, and for selected species of nitrogen and phosphorus, trace elements, pharmaceuticals, and other trace organic compounds. Bottom-sediment samples were collected for analysis of selected trace elements.</p><p>Dissolved-solids concentrations exceeded the recommended criterion for protection of aquatic life (500 milligrams per liter) in 33 of 62 filtered water samples. The maximum arsenic criterion (340 micrograms per liter) was exceeded twice and the continuous criterion was exceeded seven times. Criteria protecting aquatic life from continuous exposure to aluminum, cadmium, lead, and mercury (87, 0.72, 2.5, and 0.77 micrograms per liter, respectively) were exceeded only once in filtered samples (27, 40, 32, and 36 samples, respectively). Mercury was the only trace element analyzed in bottom-sediment samples to exceed the published probable effect concentration (1,060 micrograms per kilogram).</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds1072","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service","usgsCitation":"Thodal, C.E., 2017, Chemical quality of water and bottom sediment, Stillwater National Wildlife Refuge, Lahontan Valley, Nevada: U.S. Geological Survey Data Series Report 1072, 38 p., plus supplemental data, https://doi.org/10.3133/ds1072.","productDescription":"Report: vi, 38 p.; Supplemental Data","numberOfPages":"48","onlineOnly":"Y","ipdsId":"IP-083557","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":350181,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/1072/ds1072.pdf","text":"Report","size":"2.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DS 1072"},{"id":350180,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/1072/coverthb.jpg"},{"id":350182,"rank":3,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/ds/1072/ds1072_suppData.xlsx","text":"Supplemental Data","size":"575 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"DS 1072"}],"country":"United States","state":"Nevada","otherGeospatial":"Stillwater National Wildlife Refuge","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -118.55484008789061,\n              39.46164364205549\n            ],\n            [\n              -118.49853515625,\n              39.46111351521458\n            ],\n            [\n              -118.50265502929688,\n              39.47489550075251\n            ],\n            [\n              -118.48205566406251,\n              39.47807557129829\n            ],\n            [\n              -118.48068237304686,\n              39.50615988027491\n            ],\n            [\n              -118.46214294433592,\n              39.505100301007545\n            ],\n            [\n              -118.46420288085936,\n              39.54958871848275\n            ],\n            [\n              -118.44291687011719,\n              39.549059262117225\n            ],\n            [\n              -118.4497833251953,\n              39.564941195531496\n            ],\n            [\n              -118.4051513671875,\n              39.564411856338054\n            ],\n            [\n              -118.40789794921875,\n              39.57552713084889\n            ],\n            [\n              -118.38867187500001,\n              39.576585635482296\n            ],\n            [\n              -118.39073181152344,\n              39.607804249995105\n            ],\n            [\n              -118.37013244628905,\n              39.60727523813919\n            ],\n            [\n              -118.37150573730467,\n              39.63530729658601\n            ],\n            [\n              -118.36395263671875,\n              39.63636488778663\n            ],\n            [\n              -118.36051940917969,\n              39.678126804900295\n            ],\n            [\n              -118.3447265625,\n              39.680240661158805\n            ],\n            [\n              -118.34541320800781,\n              39.72303232864369\n            ],\n            [\n              -118.553466796875,\n              39.72303232864369\n            ],\n            [\n              -118.55484008789061,\n              39.46164364205549\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://nevada.usgs.gov/contactus.htm\" data-mce-href=\"https://nevada.usgs.gov/contactus.htm\">Director</a>, <br><a href=\"http://nevada.usgs.gov/\" data-mce-href=\"http://nevada.usgs.gov/\">Nevada Water Science Center</a><br><a href=\"http://usgs.gov/\" data-mce-href=\"http://usgs.gov/\">U.S. Geological Survey</a><br>2730 N. Deer Run Rd.<br>Carson City, NV 89701</p>","tableOfContents":"<ul><li>Abstract<br></li><li>Introduction<br></li><li>Methods<br></li><li>Results<br></li><li>References Cited<br></li><li>Supplemental Data<br></li></ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2017-12-28","noUsgsAuthors":false,"publicationDate":"2017-12-28","publicationStatus":"PW","scienceBaseUri":"5a60fae0e4b06e28e9c228c4","contributors":{"authors":[{"text":"Thodal, Carl E. 0000-0003-0782-3280 cethodal@usgs.gov","orcid":"https://orcid.org/0000-0003-0782-3280","contributorId":2292,"corporation":false,"usgs":true,"family":"Thodal","given":"Carl","email":"cethodal@usgs.gov","middleInitial":"E.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":725315,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70194375,"text":"sir20175149 - 2017 - Streambed scour evaluations and conditions at selected bridge sites in Alaska, 2013–15","interactions":[],"lastModifiedDate":"2019-11-19T12:24:56","indexId":"sir20175149","displayToPublicDate":"2017-12-27T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-5149","title":"Streambed scour evaluations and conditions at selected bridge sites in Alaska, 2013–15","docAbstract":"<p>Streambed scour potential was evaluated at 52 river- and stream-spanning bridges in Alaska that lack a quantitative scour analysis or have unknown foundation details. All sites were evaluated for stream stability and long-term scour potential. Contraction scour and abutment scour were calculated for 52 bridges, and pier scour was calculated for 11 bridges that had piers. Vertical contraction (pressure flow) scour was calculated for sites where the modeled water surface was higher than the superstructure of the bridge. In most cases, hydraulic models of the 1- and 0.2-percent annual exceedance probability floods (also known as the 100- and 500-year floods, respectively) were used to derive hydraulic variables for the scour calculations. Alternate flood values were used in scour calculations for sites where smaller floods overtopped a bridge or where standard flood-frequency estimation techniques did not apply. Scour also was calculated for large recorded floods at 13 sites.</p><p>Channel instability at 11 sites was related to human activities (in-channel mining, dredging, and channel relocation). Eight of the dredged sites are located on active unstable alluvial fans and were graded to protect infrastructure. The trend toward aggradation during major floods at these sites reduces confidence in scour estimates.</p><p>Vertical contraction and pressure flow occurred during the 0.2-percent or smaller annual exceedance probability floods at eight sites. Contraction scour exceeded 5 feet (ft) at four sites, and total scour at piers (pier scour plus contraction scour) exceeded 5 ft at four sites. Debris accumulation increased calculated pier scour at six sites by an average of 2.4 ft. Total scour at abutments exceeded 5 ft at 10 sites. Scour estimates seemed excessive at two piers where equations did not account for channel armoring, and at four abutments where failure of the embankment and attendant channel widening would reduce scour.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175149","collaboration":"Prepared in cooperation with the Alaska Department of Transportation and Public Facilities","usgsCitation":"Beebee, R.A., Dworsky, K.L., and Knopp, S.J., 2017, Streambed scour evaluations and conditions at selected bridge sites in Alaska, 2013–15: U.S. Geological Survey Scientific Investigations Report 2017-5149, 67 p., https://doi.org/10.3133/sir20175149.","productDescription":"Report: vi, 67 p.; Appendix","numberOfPages":"78","onlineOnly":"Y","ipdsId":"IP-083845","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":350212,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5149/sir20175149.pdf","text":"Report","size":"4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017-5049"},{"id":350211,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5149/coverthb.jpg"},{"id":350213,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2017/5149/sir20175149_appendix1.xlsx","text":"Appendix 1","size":"500 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2017-5049"}],"country":"United 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\":{\"name\":\"Alaska\",\"nation\":\"USA  \"}}]}","contact":"<p>Director, Alaska Science Center<br>U.S. Geological Survey<br>4210 University Drive<br>Anchorage, Alaska 99508-4560<br><a href=\"https://alaska.usgs.gov/\" data-mce-href=\"https://alaska.usgs.gov/\">https://alaska.usgs.gov/</a><br></p>","tableOfContents":"<ul><li>Abstract<br></li><li>Introduction<br></li><li>Methods<br></li><li>Results of Flood Frequency and Scour Assessments<br></li><li>Scour Calculations<br></li><li>Summary and Conclusions<br></li><li>Acknowledgments<br></li><li>References Cited<br></li><li>Appendix 1. Stream Stability Cross Sections<br></li></ul>","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2017-12-27","noUsgsAuthors":false,"publicationDate":"2017-12-27","publicationStatus":"PW","scienceBaseUri":"5a60fae0e4b06e28e9c228c6","contributors":{"authors":[{"text":"Beebee, Robin A. 0000-0002-2976-7294 rbeebee@usgs.gov","orcid":"https://orcid.org/0000-0002-2976-7294","contributorId":5778,"corporation":false,"usgs":true,"family":"Beebee","given":"Robin","email":"rbeebee@usgs.gov","middleInitial":"A.","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":723579,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dworsky, Karenth L. 0000-0002-3287-6934 kdworsky@usgs.gov","orcid":"https://orcid.org/0000-0002-3287-6934","contributorId":200851,"corporation":false,"usgs":true,"family":"Dworsky","given":"Karenth","email":"kdworsky@usgs.gov","middleInitial":"L.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":false,"id":723580,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Knopp, Schyler J. 0000-0002-3750-1373 sknopp@usgs.gov","orcid":"https://orcid.org/0000-0002-3750-1373","contributorId":200852,"corporation":false,"usgs":true,"family":"Knopp","given":"Schyler","email":"sknopp@usgs.gov","middleInitial":"J.","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":false,"id":723581,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70194252,"text":"sim3390 - 2017 - Streamflow distribution maps for the Cannon River drainage basin, southeast Minnesota, and the St. Louis River drainage basin, northeast Minnesota","interactions":[],"lastModifiedDate":"2018-01-02T13:09:40","indexId":"sim3390","displayToPublicDate":"2017-12-27T00:00:00","publicationYear":"2017","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":"3390","title":"Streamflow distribution maps for the Cannon River drainage basin, southeast Minnesota, and the St. Louis River drainage basin, northeast Minnesota","docAbstract":"<p>Streamflow distribution maps for the Cannon River and St. Louis River drainage basins were developed by the U.S. Geological Survey, in cooperation with the Legislative-Citizen Commission on Minnesota Resources, to illustrate relative and cumulative streamflow distributions. The Cannon River was selected to provide baseline data to assess the effects of potential surficial sand mining, and the St. Louis River was selected to determine the effects of ongoing Mesabi Iron Range mining. Each drainage basin (Cannon, St. Louis) was subdivided into nested drainage basins: the Cannon River was subdivided into 152 nested drainage basins, and the St. Louis River was subdivided into 353 nested drainage basins. For each smaller drainage basin, the estimated volumes of groundwater discharge (as base flow) and surface runoff flowing into all surface-water features were displayed under the following conditions: (1) extreme low-flow conditions, comparable to an exceedance-probability quantile of 0.95; (2) low-flow conditions, comparable to an exceedance-probability quantile of 0.90; (3) a median condition, comparable to an exceedance-probability quantile of 0.50; and (4) a high-flow condition, comparable to an exceedance-probability quantile of 0.02.</p><p>Streamflow distribution maps were developed using flow-duration curve exceedance-probability quantiles in conjunction with Soil-Water-Balance model outputs; both the flow-duration curve and Soil-Water-Balance models were built upon previously published U.S. Geological Survey reports. The selected streamflow distribution maps provide a proactive water management tool for State cooperators by illustrating flow rates during a range of hydraulic conditions. Furthermore, after the nested drainage basins are highlighted in terms of surface-water flows, the streamflows can be evaluated in the context of meeting specific ecological flows under different flow regimes and potentially assist with decisions regarding groundwater and surface-water appropriations. Presented streamflow distribution maps are foundational work intended to support the development of additional streamflow distribution maps that include statistical constraints on the selected flow conditions.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3390","collaboration":"Prepared in cooperation with the Legislative-Citizen Commission on Minnesota Resources","usgsCitation":"Smith, E.A., Sanocki, C.A., Lorenz, D.L., and Jacobsen, K.E., 2017, Streamflow distribution maps for the Cannon River drainage basin, southeast Minnesota, and the St. Louis River drainage basin, northeast Minnesota: U.S. Geological Survey Scientific Investigations Map 3390, pamphlet 16 p., 2 sheets, https://doi.org/10.3133/sim3390.","productDescription":"Pamphlet: vii, 16 p.; 2 Sheets: 22.0 inches x 11.0 inches; Data Releases","numberOfPages":"28","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-060395","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"links":[{"id":350215,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3390/sim3390.pdf","text":"Pamphlet","size":"976 kB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3390 Pamphlet"},{"id":350216,"rank":3,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3390/sim3390_sheet1.pdf","text":"Sheet 1","size":"480 kB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3390 Sheet 1"},{"id":350217,"rank":4,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3390/sim3390_sheet2.pdf","text":"Sheet 2","size":"590 kB","linkFileType":{"id":1,"text":"pdf"}},{"id":350214,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3390/coverthb.jpg"},{"id":350218,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F72V2DMN","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Soil-Water-Balance model data sets for the Cannon River drainage basin, southeast Minnesota, 1995-2010"},{"id":350219,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7Z60MJ0","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Soil-Water-Balance model data sets for the St. Louis River drainage basin, northeast Minnesota, 1995-2010"}],"country":"United States","state":"Minnesota","otherGeospatial":"Cannon River Drainage Basin, St. Louis River Drainage Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -93.25,\n              46.63435070293566\n            ],\n            [\n             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data-mce-href=\"mailto: dc_mn@usgs.gov\">Director</a>,&nbsp;<a href=\"https://mn.water.usgs.gov\" data-mce-href=\"https://mn.water.usgs.gov\">Upper Midwest Water Science Center</a> <br>U.S. Geological Survey<br>2280 Woodale Drive <br>Mounds View, MN 55112&nbsp;</p>","tableOfContents":"<ul><li>Acknowledgments<br></li><li>Abstract<br></li><li>Introduction<br></li><li>Streamflow Distribution Maps<br></li><li>Summary<br></li><li>References Cited<br></li></ul><p><br data-mce-bogus=\"1\"></p>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2017-12-27","noUsgsAuthors":false,"publicationDate":"2017-12-27","publicationStatus":"PW","scienceBaseUri":"5a60fae1e4b06e28e9c228c9","contributors":{"authors":[{"text":"Smith, Erik A. 0000-0001-8434-0798 easmith@usgs.gov","orcid":"https://orcid.org/0000-0001-8434-0798","contributorId":1405,"corporation":false,"usgs":true,"family":"Smith","given":"Erik","email":"easmith@usgs.gov","middleInitial":"A.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":722871,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sanocki, Christopher A. 0000-0001-6714-5421 sanocki@usgs.gov","orcid":"https://orcid.org/0000-0001-6714-5421","contributorId":3142,"corporation":false,"usgs":true,"family":"Sanocki","given":"Christopher","email":"sanocki@usgs.gov","middleInitial":"A.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":722872,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lorenz, David L. 0000-0003-3392-4034 lorenz@usgs.gov","orcid":"https://orcid.org/0000-0003-3392-4034","contributorId":1384,"corporation":false,"usgs":true,"family":"Lorenz","given":"David","email":"lorenz@usgs.gov","middleInitial":"L.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":722870,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jacobsen, Katrin E.","contributorId":200611,"corporation":false,"usgs":false,"family":"Jacobsen","given":"Katrin","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":722873,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
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