{"pageNumber":"72","pageRowStart":"1775","pageSize":"25","recordCount":4111,"records":[{"id":70040187,"text":"70040187 - 2013 - Effects of the herbicide imazapyr on juvenile Oregon spotted frogs","interactions":[],"lastModifiedDate":"2013-03-24T21:47:55","indexId":"70040187","displayToPublicDate":"2013-03-24T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Effects of the herbicide imazapyr on juvenile Oregon spotted frogs","docAbstract":"Conflict between native amphibians and aquatic weed management in the Pacific Northwest is rarely recognized because most native stillwater-breeding amphibian species move upland during summer, when herbicide application to control weeds in aquatic habitats typically occurs. However, aquatic weed management may pose a risk for aquatic species present in wetlands through the summer, such as the Oregon spotted frog (OSF, Rana pretiosa), a state endangered species in Washington. Acute toxicity of herbicides used to control aquatic weeds tends to be low, but the direct effects of herbicide tank mixes on OSFs have remained unexamined. We exposed juvenile OSFs to tank mixes of the herbicide imazapyr, a surfactant, and a marker dye in a 96-h static-renewal test. The tank mix was chosen because of its low toxicity to fish and its effectiveness in aquatic weed control. Concentrations were those associated with low-volume (3.5 L/ha) and high-volume (7.0 L/ha) applications of imazapyr and a clean-water control. Following exposure, frogs were reared for two months in clean water to identify potential latent effects on growth. Endpoints evaluated included feeding behavior, growth, and body and liver condition indices. We recorded no mortalities and found no significant differences for any end point between the herbicide-exposed and clean-water control frogs. The results suggest that imazapyr use in wetland restoration poses a low risk of direct toxic effects on juvenile OSFs.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Toxicology and Chemistry","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1002/etc.2048","usgsCitation":"Yahnke, A.E., Grue, C.E., Hayes, M.P., and Troiano, A.T., 2013, Effects of the herbicide imazapyr on juvenile Oregon spotted frogs: Environmental Toxicology and Chemistry, v. 32, no. 1, p. 228-235, https://doi.org/10.1002/etc.2048.","productDescription":"8 p.","startPage":"228","endPage":"235","ipdsId":"IP-037715","costCenters":[{"id":621,"text":"Washington Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":473902,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/etc.2048","text":"Publisher Index Page"},{"id":269969,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269968,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/etc.2048"}],"country":"United States","state":"Oregon","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.5,42.0 ], [ -124.5,46.3 ], [ -116.5,46.3 ], [ -116.5,42.0 ], [ -124.5,42.0 ] ] ] } } ] }","volume":"32","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-11-12","publicationStatus":"PW","scienceBaseUri":"5150125ee4b08df5cb1312c9","contributors":{"authors":[{"text":"Yahnke, Amy E.","contributorId":94940,"corporation":false,"usgs":true,"family":"Yahnke","given":"Amy","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":467844,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grue, Christian E. cgrue@usgs.gov","contributorId":3354,"corporation":false,"usgs":true,"family":"Grue","given":"Christian","email":"cgrue@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":467842,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hayes, Marc P.","contributorId":29712,"corporation":false,"usgs":true,"family":"Hayes","given":"Marc","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":467843,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Troiano, Alexandra T.","contributorId":97395,"corporation":false,"usgs":true,"family":"Troiano","given":"Alexandra","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":467845,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70042105,"text":"70042105 - 2013 - Contraception can lead to trophic asynchrony between birth pulse and resources","interactions":[],"lastModifiedDate":"2013-03-24T15:44:25","indexId":"70042105","displayToPublicDate":"2013-03-24T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Contraception can lead to trophic asynchrony between birth pulse and resources","docAbstract":"Abiotic inputs such as photoperiod and temperature can regulate reproductive cyclicity in many species. When humans perturb this process by intervening in reproductive cycles, the ecological consequences may be profound. Trophic mismatches between birth pulse and resources in wildlife species may cascade toward decreased survival and threaten the viability of small populations. We followed feral horses (Equus caballus) in three populations for a longitudinal study of the transient immunocontraceptive porcine zona pellucida (PZP), and found that repeated vaccinations extended the duration of infertility far beyond the targeted period. After the targeted years of infertility, the probability of parturition from post-treated females was 25.6% compared to 64.1% for untreated females, when the data were constrained only to females that had demonstrated fertility prior to the study. Estimated time to parturition increased 411.3 days per year of consecutive historical treatment. Births from untreated females in these temperate latitude populations were observed to peak in the middle of May, indicating peak conception occurred around the previous summer solstice. When the post-treated females did conceive and give birth, parturition was an estimated 31.5 days later than births from untreated females, resulting in asynchrony with peak forage availability. The latest neonate born to a post-treated female arrived 7.5 months after the peak in births from untreated females, indicating conception occurred within 24–31 days of the winter solstice. These results demonstrate surprising physiological plasticity for temperate latitude horses, and indicate that while photoperiod and temperature are powerful inputs driving the biological rhythms of conception and birth in horses, these inputs may not limit their ability to conceive under perturbed conditions. The protracted infertility observed in PZP-treated horses may be of benefit for managing overabundant wildlife, but also suggests caution for use in small refugia or rare species.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Public Library of Science","publisherLocation":"San Francisco, CA","doi":"10.1371/journal.pone.0054972","usgsCitation":"Ransom, J.I., Hobbs, N., and Bruemmer, J., 2013, Contraception can lead to trophic asynchrony between birth pulse and resources: PLoS ONE, v. 8, no. 1, e54972; 9 p., https://doi.org/10.1371/journal.pone.0054972.","productDescription":"e54972; 9 p.","ipdsId":"IP-042567","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":473906,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0054972","text":"Publisher Index Page"},{"id":269938,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269937,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0054972"}],"volume":"8","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-01-28","publicationStatus":"PW","scienceBaseUri":"5150125ae4b08df5cb1312bd","contributors":{"authors":[{"text":"Ransom, Jason I. 0000-0002-5930-4004","orcid":"https://orcid.org/0000-0002-5930-4004","contributorId":71645,"corporation":false,"usgs":true,"family":"Ransom","given":"Jason","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":470776,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hobbs, N. Thompson","contributorId":35031,"corporation":false,"usgs":true,"family":"Hobbs","given":"N. Thompson","affiliations":[],"preferred":false,"id":470775,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bruemmer, Jason","contributorId":75405,"corporation":false,"usgs":true,"family":"Bruemmer","given":"Jason","email":"","affiliations":[],"preferred":false,"id":470777,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70044543,"text":"cir13809 - 2013 - Challenge theme 7: Information support for management of border security and environmental protection: Chapter 9 in <i>United States-Mexican Borderlands: Facing tomorrow's challenges through USGS science</i>","interactions":[{"subject":{"id":70044543,"text":"cir13809 - 2013 - Challenge theme 7: Information support for management of border security and environmental protection: Chapter 9 in <i>United States-Mexican Borderlands: Facing tomorrow's challenges through USGS science</i>","indexId":"cir13809","publicationYear":"2013","noYear":false,"chapter":"9","title":"Challenge theme 7: Information support for management of border security and environmental protection: Chapter 9 in <i>United States-Mexican Borderlands: Facing tomorrow's challenges through USGS science</i>"},"predicate":"IS_PART_OF","object":{"id":70044525,"text":"cir1380 - 2013 - United States-Mexican Borderlands: Facing tomorrow's challenges through USGS science","indexId":"cir1380","publicationYear":"2013","noYear":false,"title":"United States-Mexican Borderlands: Facing tomorrow's challenges through USGS science"},"id":1}],"isPartOf":{"id":70044525,"text":"cir1380 - 2013 - United States-Mexican Borderlands: Facing tomorrow's challenges through USGS science","indexId":"cir1380","publicationYear":"2013","noYear":false,"title":"United States-Mexican Borderlands: Facing tomorrow's challenges through USGS science"},"lastModifiedDate":"2018-09-21T11:06:47","indexId":"cir13809","displayToPublicDate":"2013-03-12T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1380","chapter":"9","title":"Challenge theme 7: Information support for management of border security and environmental protection: Chapter 9 in <i>United States-Mexican Borderlands: Facing tomorrow's challenges through USGS science</i>","docAbstract":"Historically, international borders were located far from the major political and economic capitals of their countries and rarely received adequate planning or infrastructure development. Today, as a result of global economics and increased movement of goods between nations, border regions play a much greater role in commerce, tourism, and transportation. For example, Mexico is the second largest destination for United States exports (Woodrow Wilson Center Mexico Institute, 2009). The rapid population and economic growth along the United States–Mexican border, undocumented human border crossings, and the unique natural diversity of resources in the Borderlands present challenges for border security and environmental protection. Assessing risks and implementing sustainable growth policies to protect the environment and quality of life greatly increase in complexity when the issues cross an international border, where social services, environmental regulations, lifestyles, and cultural beliefs are unique for each country. Shared airsheds, water and biological resources, national security issues, and disaster management needs require an integrated binational approach to assess risks and develop binational management strategies.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"United States-Mexican Borderlands: Facing tomorrow's challenges through USGS science (Circular 1380)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir13809","usgsCitation":"Parcher, J.W., and Page, W.R., 2013, Challenge theme 7: Information support for management of border security and environmental protection: Chapter 9 in <i>United States-Mexican Borderlands: Facing tomorrow's challenges through USGS science</i>: U.S. Geological Survey Circular 1380, 30 p., https://doi.org/10.3133/cir13809.","productDescription":"30 p.","startPage":"204","endPage":"233","numberOfPages":"30","costCenters":[{"id":572,"text":"Southwest Region","active":false,"usgs":true},{"id":37226,"text":"Core Science Analytics, Synthesis, and Libraries","active":true,"usgs":true}],"links":[{"id":269133,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/cir13809.gif"},{"id":269131,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1380/downloads/Chapter9.pdf"},{"id":269132,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/circ/1380/"}],"country":"Mexico, United States","otherGeospatial":"United States-Mexico Borderlands","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -97.646484375,\n              24.246964554300924\n            ],\n            [\n              -96.6796875,\n              25.918526162075153\n            ],\n            [\n              -97.0751953125,\n              27.254629577800063\n            ],\n            [\n              -98.4375,\n              29.49698759653577\n            ],\n            [\n              -99.931640625,\n              30.713503990354965\n            ],\n            [\n              -103.22753906249999,\n              31.015278981711266\n            ],\n            [\n              -104.853515625,\n              32.65787573695528\n            ],\n            [\n              -106.34765625,\n              33.17434155100208\n            ],\n            [\n              -108.5009765625,\n              33.17434155100208\n            ],\n            [\n              -110.302734375,\n              32.95336814579932\n            ],\n            [\n              -112.939453125,\n              33.54139466898275\n            ],\n            [\n              -114.43359375,\n              33.8339199536547\n            ],\n            [\n              -117.158203125,\n              33.54139466898275\n            ],\n            [\n              -117.8173828125,\n              33.17434155100208\n            ],\n            [\n              -117.20214843749999,\n              31.690781806136822\n            ],\n            [\n              -114.9169921875,\n              31.50362930577303\n            ],\n            [\n              -110.8740234375,\n              30.06909396443887\n            ],\n            [\n              -108.2373046875,\n              30.14512718337613\n            ],\n            [\n              -105.16113281249999,\n              28.22697003891834\n            ],\n            [\n              -103.71093749999999,\n              27.488781168937997\n            ],\n            [\n              -101.90917968749999,\n              27.68352808378776\n            ],\n            [\n              -99.36035156249999,\n              25.363882272740256\n            ],\n            [\n              -98.3056640625,\n              24.686952411999155\n            ],\n            [\n              -97.646484375,\n              24.246964554300924\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5140407de4b089809dbf43e3","contributors":{"authors":[{"text":"Parcher, Jean W. jwparcher@usgs.gov","contributorId":2209,"corporation":false,"usgs":true,"family":"Parcher","given":"Jean","email":"jwparcher@usgs.gov","middleInitial":"W.","affiliations":[],"preferred":true,"id":475856,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Page, William R. 0000-0002-0722-9911 rpage@usgs.gov","orcid":"https://orcid.org/0000-0002-0722-9911","contributorId":1628,"corporation":false,"usgs":true,"family":"Page","given":"William","email":"rpage@usgs.gov","middleInitial":"R.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":475855,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70044460,"text":"ds688 - 2013 - Groundwater-quality data in the Cascade Range and Modoc Plateau study unit, 2010-Results from the California GAMA Program","interactions":[],"lastModifiedDate":"2013-03-07T08:44:55","indexId":"ds688","displayToPublicDate":"2013-03-07T00:00:00","publicationYear":"2013","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":"688","title":"Groundwater-quality data in the Cascade Range and Modoc Plateau study unit, 2010-Results from the California GAMA Program","docAbstract":"Groundwater quality in the 39,000-square-kilometer Cascade Range and Modoc Plateau (CAMP) study unit was investigated by the U.S. Geological Survey (USGS) from July through October 2010, as part of the California State Water Resources Control Board (SWRCB) Groundwater Ambient Monitoring and Assessment (GAMA) Program’s Priority Basin Project (PBP). The GAMA PBP was developed in response to the California Groundwater Quality Monitoring Act of 2001 and is being conducted in collaboration with the SWRCB and Lawrence Livermore National Laboratory (LLNL). The CAMP study unit is the thirty-second study unit to be sampled as part of the GAMA PBP. The GAMA CAMP study was designed to provide a spatially unbiased assessment of untreated-groundwater quality in the primary aquifer system and to facilitate statistically consistent comparisons of untreated-groundwater quality throughout California. The primary aquifer system is defined as that part of the aquifer corresponding to the open or screened intervals of wells listed in the California Department of Public Health (CDPH) database for the CAMP study unit. The quality of groundwater in shallow or deep water-bearing zones may differ from the quality of groundwater in the primary aquifer system; shallow groundwater may be more vulnerable to surficial contamination. In the CAMP study unit, groundwater samples were collected from 90 wells and springs in 6 study areas (Sacramento Valley Eastside, Honey Lake Valley, Cascade Range and Modoc Plateau Low Use Basins, Shasta Valley and Mount Shasta Volcanic Area, Quaternary Volcanic Areas, and Tertiary Volcanic Areas) in Butte, Lassen, Modoc, Plumas, Shasta, Siskiyou, and Tehama Counties. Wells and springs were selected by using a spatially distributed, randomized grid-based method to provide statistical representation of the study unit (grid wells). Groundwater samples were analyzed for field water-quality indicators, organic constituents, perchlorate, inorganic constituents, radioactive constituents, and microbial indicators. Naturally occurring isotopes and dissolved noble gases also were measured to provide a dataset that will be used to help interpret the sources and ages of the sampled groundwater in subsequent reports. In total, 221 constituents were investigated for this study. Three types of quality-control samples (blanks, replicates, and matrix spikes) were collected at approximately 10 percent of the wells in the CAMP study unit, and the results for these samples were used to evaluate the quality of the data for the groundwater samples. Blanks rarely contained detectable concentrations of any constituent, suggesting that contamination from sample collection procedures was not a significant source of bias in the data for the groundwater samples. Replicate samples generally were within the limits of acceptable analytical reproducibility. Matrix-spike recoveries were within the acceptable range (70 to 130 percent) for approximately 90 percent of the compounds. This study did not attempt to evaluate the quality of water delivered to consumers; after withdrawal from the ground, untreated groundwater typically is treated, disinfected, and (or) blended with other waters to maintain water quality. Regulatory benchmarks apply to water that is served to the consumer, not to untreated groundwater. However, to provide some context for the results, concentrations of constituents measured in the untreated groundwater were compared with regulatory and non-regulatory health-based benchmarks established by the U.S. Environmental Protection Agency (USEPA) and CDPH, and to non-regulatory benchmarks established for aesthetic concerns by CDPH. Comparisons between data collected for this study and benchmarks for drinking water are for illustrative purposes only and are not indicative of compliance or non-compliance with those benchmarks. All organic constituents and most inorganic constituents that were detected in groundwater samples from the 90 grid wells in the CAMP study unit were detected at concentrations less than drinking-water benchmarks. Of the 148 organic constituents analyzed, 27 were detected in groundwater samples; concentrations of all detected constituents were less than regulatory and nonregulatory health-based benchmarks, and all were less than 1/10 of benchmark levels. One or more organic constituents were detected in 52 percent of the grid wells in the CAMP study unit: VOCs were detected in 30 percent, and pesticides and pesticide degradates were detected in 31 percent. Trace elements, major ions, nutrients, and radioactive constituents were sampled for at 90 grid wells in the CAMP study unit, and most detected concentrations were less than health-based benchmarks. Exceptions include three detections of arsenic greater than the USEPA maximum contaminant level (MCL-US) of 10 micrograms per liter (µg/L), two detections of boron greater than the CDPH notification level (NL-CA) of 1,000 µg/L, two detections of molybdenum greater than the USEPA lifetime health advisory level (HAL-US) of 40 µg/L, two detections of vanadium greater than the CDPH notification level (NL-CA) of 50 µg/L, one detection of nitrate, as nitrogen, greater than the MCL-US of 10 milligrams per liter (mg/L), two detections of uranium greater than the MCL-US of 30 µg/L and the MCL-CA of 20 picocuries per liter (pCi/L), one detection of radon-222 greater than the proposed MCL-US of 4,000 pCi/L, and two detections of gross alpha particle activity greater than the MCL-US of 15 pCi/L. Results for inorganic constituents with non-regulatory benchmarks set for aesthetic concerns showed that iron concentrations greater than the CDPH secondary maximum contaminant level (SMCL-CA) of 300 µg/L were detected in four grid wells. Manganese concentrations greater than the SMCL-CA of 50 µg/L were detected in nine grid wells. Chloride and TDS were detected at concentrations greater than the upper SMCL-CA benchmarks of 500 mg/L and 1,000 mg/L, respectively, in one grid well. Microbial indicators (total coliform and Escherichia coli [E. coli]) were detected in 11 percent of the 83 grid wells sampled for these analyses in the CAMP study unit. The presence of total coliform was detected in nine grid wells, and the presence of E. coli was detected in one of these same grid wells.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds688","collaboration":"A product of the California Groundwater Ambient Monitoring and Assessment (GAMA) Program Prepared in cooperation with the California State Water Resources Control Board","usgsCitation":"Shelton, J.L., Fram, M.S., and Belitz, K., 2013, Groundwater-quality data in the Cascade Range and Modoc Plateau study unit, 2010-Results from the California GAMA Program: U.S. Geological Survey Data Series 688, x, 126 p., https://doi.org/10.3133/ds688.","productDescription":"x, 126 p.","numberOfPages":"138","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":268879,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds688.jpg"},{"id":268877,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/688/"},{"id":268878,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/688/pdf/ds688.pdf"}],"projection":"Albers Equal Area Conic Projection","datum":"North American Datum of 1983","country":"United States","state":"California","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -0.01611111111111111,8.333333333333334E-4 ], [ -0.01611111111111111,0.0011111111111111111 ], [ -0.01638888888888889,0.0011111111111111111 ], [ -0.01638888888888889,8.333333333333334E-4 ], [ -0.01611111111111111,8.333333333333334E-4 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5139b6eee4b09608cc166b0b","contributors":{"authors":[{"text":"Shelton, Jennifer L. 0000-0001-8508-0270 jshelton@usgs.gov","orcid":"https://orcid.org/0000-0001-8508-0270","contributorId":1155,"corporation":false,"usgs":true,"family":"Shelton","given":"Jennifer","email":"jshelton@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":475661,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fram, Miranda S. 0000-0002-6337-059X mfram@usgs.gov","orcid":"https://orcid.org/0000-0002-6337-059X","contributorId":1156,"corporation":false,"usgs":true,"family":"Fram","given":"Miranda","email":"mfram@usgs.gov","middleInitial":"S.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":475662,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Belitz, Kenneth 0000-0003-4481-2345 kbelitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":442,"corporation":false,"usgs":true,"family":"Belitz","given":"Kenneth","email":"kbelitz@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":475660,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70199860,"text":"70199860 - 2013 - Uncertainty in assessing the impacts of global change with coupled dynamic species distribution and population models","interactions":[],"lastModifiedDate":"2018-10-01T14:42:03","indexId":"70199860","displayToPublicDate":"2013-03-01T14:41:55","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Uncertainty in assessing the impacts of global change with coupled dynamic species distribution and population models","docAbstract":"<p><span>Concern over rapid global changes and the potential for interactions among multiple threats are prompting scientists to combine multiple modelling approaches to understand impacts on biodiversity. A relatively recent development is the combination of species distribution models, land‐use change predictions, and dynamic population models to predict the relative and combined impacts of climate change, land‐use change, and altered disturbance regimes on species' extinction risk. Each modelling component introduces its own source of uncertainty through different parameters and assumptions, which, when combined, can result in compounded uncertainty that can have major implications for management. Although some uncertainty analyses have been conducted separately on various model components – such as climate predictions, species distribution models, land‐use change predictions, and population models – a unified sensitivity analysis comparing various sources of uncertainty in combined modelling approaches is needed to identify the most influential and problematic assumptions. We estimated the sensitivities of long‐run population predictions to different ecological assumptions and parameter settings for a rare and endangered annual plant species (</span><i>Acanthomintha ilicifolia</i><span>, or San Diego thornmint). Uncertainty about habitat suitability predictions, due to the choice of species distribution model, contributed most to variation in predictions about long‐run populations.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/gcb.12090","usgsCitation":"Conlisk, E., Syphard, A.D., Franklin, J., Flint, L.E., Flint, A.L., and Regan, H., 2013, Uncertainty in assessing the impacts of global change with coupled dynamic species distribution and population models: Global Change Biology, v. 19, no. 3, p. 858-869, https://doi.org/10.1111/gcb.12090.","productDescription":"12 p.","startPage":"858","endPage":"869","ipdsId":"IP-041945","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":357971,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.9876708984375,\n              32.537551746769\n            ],\n            [\n              -116.08154296875001,\n              32.537551746769\n            ],\n            [\n              -116.08154296875001,\n              33.99347299511967\n            ],\n            [\n              -117.9876708984375,\n              33.99347299511967\n            ],\n            [\n              -117.9876708984375,\n              32.537551746769\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"19","issue":"3","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2012-12-31","publicationStatus":"PW","scienceBaseUri":"5c10ba92e4b034bf6a7ee117","contributors":{"authors":[{"text":"Conlisk, Erin","contributorId":149404,"corporation":false,"usgs":false,"family":"Conlisk","given":"Erin","affiliations":[{"id":6609,"text":"UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":746946,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Syphard, Alexandra D.","contributorId":8977,"corporation":false,"usgs":false,"family":"Syphard","given":"Alexandra","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":746945,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Franklin, Janet","contributorId":192373,"corporation":false,"usgs":false,"family":"Franklin","given":"Janet","affiliations":[],"preferred":false,"id":746948,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Flint, Lorraine E. 0000-0002-7868-441X lflint@usgs.gov","orcid":"https://orcid.org/0000-0002-7868-441X","contributorId":1184,"corporation":false,"usgs":true,"family":"Flint","given":"Lorraine","email":"lflint@usgs.gov","middleInitial":"E.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":746944,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Flint, Alan L. 0000-0002-5118-751X aflint@usgs.gov","orcid":"https://orcid.org/0000-0002-5118-751X","contributorId":1492,"corporation":false,"usgs":true,"family":"Flint","given":"Alan","email":"aflint@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":746943,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Regan, Helen","contributorId":172483,"corporation":false,"usgs":false,"family":"Regan","given":"Helen","affiliations":[],"preferred":false,"id":746947,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70156157,"text":"70156157 - 2013 - Interactive effects of wildfire, forest management, and isolation on amphibian and parasite abundance","interactions":[],"lastModifiedDate":"2022-11-10T17:28:02.322013","indexId":"70156157","displayToPublicDate":"2013-03-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Interactive effects of wildfire, forest management, and isolation on amphibian and parasite abundance","docAbstract":"<p><span>Projected increases in wildfire and other climate-driven disturbances will affect populations and communities worldwide, including host&ndash;parasite relationships. Research in temperate forests has shown that wildfire can negatively affect amphibians, but this research has occurred primarily outside of managed landscapes where interactions with human disturbances could result in additive or synergistic effects. Furthermore, parasites represent a large component of biodiversity and can affect host fitness and population dynamics, yet they are rarely included in studies of how vertebrate hosts respond to disturbance. To determine how wildfire affects amphibians and their parasites, and whether effects differ between protected and managed landscapes, we compared abundance of two amphibians and two nematodes relative to wildfire extent and severity around wetlands in neighboring protected and managed forests (Montana, USA). Population sizes of adult, male long-toed salamanders (</span><i>Ambystoma macrodactylum</i><span>) decreased with increased burn severity, with stronger negative effects on isolated populations and in managed forests. In contrast, breeding population sizes of Columbia spotted frogs (</span><i>Rana luteiventris</i><span>) increased with burn extent in both protected and managed protected forests. Path analysis showed that the effects of wildfire on the two species of nematodes were consistent with differences in their life history and transmission strategies and the responses of their hosts. Burn severity indirectly reduced abundance of soil-transmitted&nbsp;</span><i>Cosmocercoides variabilis</i><span>&nbsp;through reductions in salamander abundance. Burn severity also directly reduced&nbsp;</span><i>C. variabilis</i><span>&nbsp;abundance, possibly though changes in soil conditions. For the aquatically transmitted nematode&nbsp;</span><i>Gyrinicola batrachiensis</i><span>, the positive effect of burn extent on density of Columbia spotted frog larvae indirectly increased parasite abundance. Our results show that effects of wildfire on amphibians depend upon burn extent and severity, isolation, and prior land use. Through subsequent effects on the parasites, our results also reveal how changes in disturbance regimes can affect communities across trophic levels.</span><br /><span><br /><br /><br /></span></p>","language":"English","publisher":"Ecological Applications","doi":"10.1890/12-0316.1","usgsCitation":"Hossack, B.R., Lowe, W., Honeycutt, R.K., Parks, S.A., and Corn, P.S., 2013, Interactive effects of wildfire, forest management, and isolation on amphibian and parasite abundance: Ecological Applications, v. 23, no. 2, p. 479-492, https://doi.org/10.1890/12-0316.1.","productDescription":"13 p.","startPage":"479","endPage":"492","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-034884","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":306848,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Glacier National Park, North Fork Flathead River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -114.46031350545493,\n              48.965275235577195\n            ],\n            [\n              -114.46031350545493,\n              48.549652132944914\n            ],\n            [\n              -114.01654992640174,\n              48.549652132944914\n            ],\n            [\n              -114.01654992640174,\n              48.965275235577195\n            ],\n            [\n              -114.46031350545493,\n              48.965275235577195\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"23","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55d45731e4b0518e354694d0","contributors":{"authors":[{"text":"Hossack, Blake R. 0000-0001-7456-9564 blake_hossack@usgs.gov","orcid":"https://orcid.org/0000-0001-7456-9564","contributorId":1177,"corporation":false,"usgs":true,"family":"Hossack","given":"Blake","email":"blake_hossack@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":567933,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lowe, Winsor H.","contributorId":64532,"corporation":false,"usgs":false,"family":"Lowe","given":"Winsor H.","affiliations":[{"id":5097,"text":"University of Montana, Division of Biological Sciences","active":true,"usgs":false}],"preferred":false,"id":567937,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Honeycutt, R. Ken 0000-0002-7157-7195 rhoneycutt@usgs.gov","orcid":"https://orcid.org/0000-0002-7157-7195","contributorId":156282,"corporation":false,"usgs":true,"family":"Honeycutt","given":"R.","email":"rhoneycutt@usgs.gov","middleInitial":"Ken","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":567935,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Parks, Sean A. 0000-0002-2982-5255","orcid":"https://orcid.org/0000-0002-2982-5255","contributorId":225035,"corporation":false,"usgs":false,"family":"Parks","given":"Sean","email":"","middleInitial":"A.","affiliations":[{"id":41024,"text":"Aldo Leopold Wilderness Research Institute, Rocky Mountain Research Station","active":true,"usgs":false}],"preferred":false,"id":567936,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Corn, P. Stephen 0000-0002-4106-6335 steve_corn@usgs.gov","orcid":"https://orcid.org/0000-0002-4106-6335","contributorId":3227,"corporation":false,"usgs":true,"family":"Corn","given":"P.","email":"steve_corn@usgs.gov","middleInitial":"Stephen","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":567934,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70045721,"text":"70045721 - 2013 - A spatial mark–resight model augmented with telemetry data","interactions":[],"lastModifiedDate":"2013-05-02T07:22:24","indexId":"70045721","displayToPublicDate":"2013-03-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"A spatial mark–resight model augmented with telemetry data","docAbstract":"Abundance and population density are fundamental pieces of information for population ecology and species conservation, but they are difficult to estimate for rare and elusive species. Mark-resight models are popular for estimating population abundance because they are less invasive and expensive than traditional mark-recapture. However, density estimation using mark-resight is difficult because the area sampled must be explicitly defined, historically using ad-hoc approaches. We develop a spatial mark-resight model for estimating population density that combines spatial resighting data and telemetry data. Incorporating telemetry data allows us to inform model parameters related to movement and individual location. Our model also allows <100% individual identification of marked individuals. We implemented the model in a Bayesian framework, using a custom-made Metropolis-within-Gibbs Markov chain Monte Carlo algorithm. As an example, we applied this model to a mark-resight study of raccoons on South Core Banks, a barrier island in Cape Lookout National Seashore, North Carolina. We estimated a population of 186.71 ± 14.81 individuals, which translated to a density of 8.29 ± 0.66 individuals per km<sup>2</sup>. The model presented here will have widespread utility in future applications, especially for species that are not naturally marked.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Ecological Society of America","doi":"10.1890/12-1256.1","usgsCitation":"Sollmann, R., Gardner, B., Parsons, A.W., Stocking, J.J., McClintock, B.T., Simons, T.R., Pollock, K.H., and O’Connell, A.F., 2013, A spatial mark–resight model augmented with telemetry data: Ecology, v. 94, no. 3, p. 553-559, https://doi.org/10.1890/12-1256.1.","productDescription":"7 p.","startPage":"553","endPage":"559","numberOfPages":"7","ipdsId":"IP-042504","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":473934,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/12-1256.1","text":"Publisher Index Page"},{"id":271725,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271724,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/12-1256.1"}],"country":"United States","volume":"94","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51838ae3e4b0a21483941a78","contributors":{"authors":[{"text":"Sollmann, Rachel","contributorId":11909,"corporation":false,"usgs":true,"family":"Sollmann","given":"Rachel","email":"","affiliations":[],"preferred":false,"id":478198,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gardner, Beth","contributorId":91612,"corporation":false,"usgs":false,"family":"Gardner","given":"Beth","affiliations":[{"id":13553,"text":"University of Washington-Seattle","active":true,"usgs":false}],"preferred":false,"id":478203,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Parsons, Arielle W.","contributorId":91383,"corporation":false,"usgs":true,"family":"Parsons","given":"Arielle","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":478202,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stocking, Jessica J.","contributorId":68626,"corporation":false,"usgs":true,"family":"Stocking","given":"Jessica","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":478200,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McClintock, Brett T. 0000-0001-6154-4376","orcid":"https://orcid.org/0000-0001-6154-4376","contributorId":83785,"corporation":false,"usgs":true,"family":"McClintock","given":"Brett","email":"","middleInitial":"T.","affiliations":[{"id":12448,"text":"U.S. National Oceanic and Atmospheric Administration","active":true,"usgs":false},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":478201,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Simons, Theodore R. 0000-0002-1884-6229 tsimons@usgs.gov","orcid":"https://orcid.org/0000-0002-1884-6229","contributorId":2623,"corporation":false,"usgs":true,"family":"Simons","given":"Theodore","email":"tsimons@usgs.gov","middleInitial":"R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":478196,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pollock, Kenneth H.","contributorId":8590,"corporation":false,"usgs":false,"family":"Pollock","given":"Kenneth","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":478197,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"O’Connell, Allan F.","contributorId":13510,"corporation":false,"usgs":true,"family":"O’Connell","given":"Allan","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":478199,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70043543,"text":"70043543 - 2013 - Introduced northern pike predation on salmonids in southcentral Alaska","interactions":[],"lastModifiedDate":"2013-03-18T13:16:48","indexId":"70043543","displayToPublicDate":"2013-02-15T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1471,"text":"Ecology of Freshwater Fish","active":true,"publicationSubtype":{"id":10}},"title":"Introduced northern pike predation on salmonids in southcentral Alaska","docAbstract":"Northern pike (<i>Esox lucius</i>) are opportunistic predators that can switch to alternative prey species after preferred prey have declined. This trophic adaptability allows invasive pike to have negative effects on aquatic food webs. In Southcentral Alaska, invasive pike are a substantial concern because they have spread to important spawning and rearing habitat for salmonids and are hypothesised to be responsible for recent salmonid declines. We described the relative importance of salmonids and other prey species to pike diets in the Deshka River and Alexander Creek in Southcentral Alaska. Salmonids were once abundant in both rivers, but they are now rare in Alexander Creek. In the Deshka River, we found that juvenile Chinook salmon (<i>Oncorhynchus tshawytscha</i>) and coho salmon (<i>O. kisutch</i>) dominated pike diets and that small pike consumed more of these salmonids than large pike. In Alexander Creek, pike diets reflected the distribution of spawning salmonids, which decrease with distance upstream. Although salmonids dominated pike diets in the lowest reach of the stream, Arctic lamprey (<i>Lampetra camtschatica</i>) and slimy sculpin (<i>Cottus cognatus</i>) dominated pike diets in the middle and upper reaches. In both rivers, pike density did not influence diet and pike consumed smaller prey items than predicted by their gape-width. Our data suggest that (1) juvenile salmonids are a dominant prey item for pike, (2) small pike are the primary consumers of juvenile salmonids and (3) pike consume other native fish species when juvenile salmonids are less abundant. Implications of this trophic adaptability are that invasive pike can continue to increase while driving multiple species to low abundance.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecology of Freshwater Fish","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/eff.12024","usgsCitation":"Sepulveda, A., Rutz, D.S., Ivey, S.S., Dunker, K.J., and Gross, J.A., 2013, Introduced northern pike predation on salmonids in southcentral Alaska: Ecology of Freshwater Fish, v. 22, no. 2, p. 268-279, https://doi.org/10.1111/eff.12024.","productDescription":"12 p.","startPage":"268","endPage":"279","ipdsId":"IP-036989","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":267472,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":267471,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/eff.12024"}],"country":"United States","state":"Alaska","otherGeospatial":"Alexander Creek;Deshka River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -166.7,51.21 ], [ -166.7,67.68 ], [ -130.0,67.68 ], [ -130.0,51.21 ], [ -166.7,51.21 ] ] ] } } ] }","volume":"22","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-01-14","publicationStatus":"PW","scienceBaseUri":"511f5906e4b03b29402c5d4e","contributors":{"authors":[{"text":"Sepulveda, Adam 0000-0001-7621-7028 asepulveda@usgs.gov","orcid":"https://orcid.org/0000-0001-7621-7028","contributorId":4187,"corporation":false,"usgs":true,"family":"Sepulveda","given":"Adam","email":"asepulveda@usgs.gov","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":473811,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rutz, David S.","contributorId":38033,"corporation":false,"usgs":false,"family":"Rutz","given":"David","email":"","middleInitial":"S.","affiliations":[{"id":6770,"text":"Alaska Department of Fish & Game, Division of Commercial Fish, Soldotna, AK 99669","active":true,"usgs":false}],"preferred":false,"id":473813,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ivey, Sam S.","contributorId":105190,"corporation":false,"usgs":true,"family":"Ivey","given":"Sam","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":473815,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dunker, Kristine J.","contributorId":38864,"corporation":false,"usgs":false,"family":"Dunker","given":"Kristine","email":"","middleInitial":"J.","affiliations":[{"id":6770,"text":"Alaska Department of Fish & Game, Division of Commercial Fish, Soldotna, AK 99669","active":true,"usgs":false}],"preferred":false,"id":473814,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gross, Jackson A.","contributorId":14273,"corporation":false,"usgs":true,"family":"Gross","given":"Jackson","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":473812,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70044216,"text":"70044216 - 2013 - Population genetic structure of rare and endangered plants using molecular markers","interactions":[],"lastModifiedDate":"2018-01-05T12:37:57","indexId":"70044216","displayToPublicDate":"2013-02-05T05:15:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"seriesTitle":{"id":414,"text":"Technical Report","active":false,"publicationSubtype":{"id":9}},"seriesNumber":"HCSU-036","title":"Population genetic structure of rare and endangered plants using molecular markers","docAbstract":"<div class=\"page\" title=\"Page 7\">\n<div class=\"layoutArea\">\n<div class=\"column\">\n<p><span>This study was initiated to assess the levels of genetic diversity and differentiation in the remaining populations of <i>Phyllostegia stachyoides</i> and <i>Melicope zahlbruckneri</i> in Hawai`i Volcanoes National Park and determine the extent of gene flow to identify genetically distinct individuals or groups for conservation purposes. Thirty-six Amplified Fragment Length Polymorphic (AFLP) primer combinations generated a total of 3,242 polymorphic deoxyribonucleic acid (DNA) fragments in the <i>P. stachyoides</i> population with a percentage of polymorphic bands (PPB) ranging from 39.3 to 65.7% and 2,780 for the <i>M. zahlbruckneri</i> population with a PPB of 18.8 to 64.6%. Population differentiation (Fst) of AFLP loci between subpopulations of <i>P. stachyoides</i> was low (0.043) across populations. Analysis of molecular variance of <i>P. stachyoides</i> showed that 4% of the observed genetic differentiation occurred between populations in different k</span><span>ī</span><span>puka and 96% when individuals were pooled from all k</span><span>ī</span><span>puka. Moderate genetic diversity was detected within the <i>M. zahlbruckneri</i> population. Bayesian and multivariate analyses both classified the <i>P. stachyoides</i> and <i>M. zahlbruckneri</i> populations into genetic groups with considerable sub-structuring detected in the <i>P. stachyoides</i> population. The proportion of genetic differentiation among populations explained by geographical distance was estimated by Mantel tests. No spatial correlation was found between genetic and geographic distances in both populations. Finally, a moderate but significant gene flow that could be attributed to insect or bird-mediated dispersal of pollen across the different k</span><span>ī</span><span>puka was observed. The results of this study highlight the utility of a multi-allelic DNA-based marker in screening a large number of polymorphic loci in small and closely related endangered populations and revealed the presence of genetically unique groups of individuals in both <i>M. zahlbruckneri</i> and <i>P. stachyoides</i> populations. Based on these findings, approaches that can assist conservation efforts of these species are proposed.&nbsp;</span></p>\n</div>\n</div>\n</div>","language":"English","publisher":"University of Hawi'i at Hilo","publisherLocation":"Hilo, HI","usgsCitation":"Raji, J., and Atkinson, C.T., 2013, Population genetic structure of rare and endangered plants using molecular markers: Technical Report HCSU-036, iv, 42 p.","productDescription":"iv, 42 p.","numberOfPages":"48","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-042186","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":325134,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawai`i","otherGeospatial":"Hawai`i Volcanoes National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -155.401611328125,\n              19.241143039165962\n            ],\n            [\n              -155.401611328125,\n              19.535201464574232\n            ],\n            [\n              -155.1324462890625,\n              19.535201464574232\n            ],\n            [\n              -155.1324462890625,\n              19.241143039165962\n            ],\n            [\n              -155.401611328125,\n              19.241143039165962\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"579dd01ce4b0589fa1cbdc3c","contributors":{"authors":[{"text":"Raji, Jennifer","contributorId":172853,"corporation":false,"usgs":false,"family":"Raji","given":"Jennifer","email":"","affiliations":[{"id":13357,"text":"Hawaiʻi Cooperative Studies Unit","active":true,"usgs":false}],"preferred":false,"id":517235,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Atkinson, Carter T. 0000-0002-4232-5335 catkinson@usgs.gov","orcid":"https://orcid.org/0000-0002-4232-5335","contributorId":1124,"corporation":false,"usgs":true,"family":"Atkinson","given":"Carter","email":"catkinson@usgs.gov","middleInitial":"T.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":642273,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70045219,"text":"70045219 - 2013 - Temporal shifts in top-down vs. bottom-up control of epiphytic algae in a seagrass ecosystem","interactions":[],"lastModifiedDate":"2024-04-19T21:10:24.024228","indexId":"70045219","displayToPublicDate":"2013-02-01T16:09:09","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Temporal shifts in top-down vs. bottom-up control of epiphytic algae in a seagrass ecosystem","docAbstract":"<p><span>In coastal marine food webs, small invertebrate herbivores (mesograzers) have long been hypothesized to occupy an important position facilitating dominance of habitat-forming macrophytes by grazing competitively superior epiphytic algae. Because of the difficulty of manipulating mesograzers in the field, however, their impacts on community organization have rarely been rigorously documented. Understanding mesograzer impacts has taken on increased urgency in seagrass systems due to declines in seagrasses globally, caused in part by widespread eutrophication favoring seagrass overgrowth by faster-growing algae. Using cage-free field experiments in two seasons (fall and summer), we present experimental confirmation that mesograzer reduction and nutrients can promote blooms of epiphytic algae growing on eelgrass (</span><i>Zostera marina</i><span>). In this study, nutrient additions increased epiphytes only in the fall following natural decline of mesograzers. In the summer, experimental mesograzer reduction stimulated a 447% increase in epiphytes, appearing to exacerbate seasonal dieback of eelgrass. Using structural equation modeling, we illuminate the temporal dynamics of complex interactions between macrophytes, mesograzers, and epiphytes in the summer experiment. An unexpected result emerged from investigating the interaction network: drift macroalgae indirectly reduced epiphytes by providing structure for mesograzers, suggesting that the net effect of macroalgae on seagrass depends on macroalgal density. Our results show that mesograzers can control proliferation of epiphytic algae, that top-down and bottom-up forcing are temporally variable, and that the presence of macroalgae can strengthen top-down control of epiphytic algae, potentially contributing to eelgrass persistence.</span></p>","language":"English","publisher":"Ecological Society of America","publisherLocation":"Ithaca, NY","doi":"10.1890/12-0156.1","usgsCitation":"Whalen, M.A., Duffy, J.E., and Grace, J.B., 2013, Temporal shifts in top-down vs. bottom-up control of epiphytic algae in a seagrass ecosystem: Ecology, v. 94, no. 2, p. 510-520, https://doi.org/10.1890/12-0156.1.","productDescription":"11 p.","startPage":"510","endPage":"520","ipdsId":"IP-035382","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":487244,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://scholarworks.wm.edu/vimsarticles/1732","text":"External Repository"},{"id":364455,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"94","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"515d4161e4b0803bd2eec4fb","contributors":{"authors":[{"text":"Whalen, Matthew A.","contributorId":94180,"corporation":false,"usgs":true,"family":"Whalen","given":"Matthew","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":517643,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Duffy, J. Emmett","contributorId":78186,"corporation":false,"usgs":true,"family":"Duffy","given":"J.","email":"","middleInitial":"Emmett","affiliations":[],"preferred":false,"id":517642,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grace, James B. 0000-0001-6374-4726 gracej@usgs.gov","orcid":"https://orcid.org/0000-0001-6374-4726","contributorId":884,"corporation":false,"usgs":true,"family":"Grace","given":"James","email":"gracej@usgs.gov","middleInitial":"B.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":517641,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70148070,"text":"70148070 - 2013 - Integration of bed characteristics, geochemical tracers, current measurements, and numerical modeling for assessing the provenance of beach sand in the San Francisco Bay Coastal System","interactions":[],"lastModifiedDate":"2020-06-09T14:39:36.762609","indexId":"70148070","displayToPublicDate":"2013-02-01T12:45:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2667,"text":"Marine Geology","active":true,"publicationSubtype":{"id":10}},"title":"Integration of bed characteristics, geochemical tracers, current measurements, and numerical modeling for assessing the provenance of beach sand in the San Francisco Bay Coastal System","docAbstract":"<p><span>Over 150</span><span>&nbsp;</span><span>million m</span><sup>3</sup><span>&nbsp;of sand-sized sediment has disappeared from the central region of the San Francisco Bay Coastal System during the last half century. This enormous loss may reflect numerous anthropogenic influences, such as watershed damming, bay-fill development, aggregate mining, and dredging. The reduction in Bay sediment also appears to be linked to a reduction in sediment supply and recent widespread erosion of adjacent beaches, wetlands, and submarine environments. A unique, multi-faceted provenance study was performed to definitively establish the primary sources, sinks, and transport pathways of beach-sized sand in the region, thereby identifying the activities and processes that directly limit supply to the outer coast. This integrative program is based on comprehensive surficial sediment sampling of the San Francisco Bay Coastal System, including the seabed, Bay floor, area beaches, adjacent rock units, and major drainages. Analyses of sample morphometrics and biological composition (e.g., Foraminifera) were then integrated with a suite of tracers including&nbsp;</span><sup>87</sup><span>Sr/</span><sup>86</sup><span>Sr and&nbsp;</span><sup>143</sup><span>Nd/</span><sup>144</sup><span>Nd isotopes, rare earth elements, semi-quantitative X-ray diffraction mineralogy, and heavy minerals, and with process-based numerical modeling, in situ current measurements, and bedform asymmetry to robustly determine the provenance of beach-sized sand in the region.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.margeo.2012.11.008","usgsCitation":"Barnard, P., Foxgrover, A.C., Elias, E.P., Erikson, L., Hein, J.R., McGann, M., Mizell, K., Rosenbauer, R.J., Swarzenski, P.W., Takesue, R.K., Wong, F.L., and Woodrow, D., 2013, Integration of bed characteristics, geochemical tracers, current measurements, and numerical modeling for assessing the provenance of beach sand in the San Francisco Bay Coastal System: Marine Geology, v. 345, p. 181-206, https://doi.org/10.1016/j.margeo.2012.11.008.","productDescription":"26 p.","startPage":"181","endPage":"206","numberOfPages":"26","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-042895","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":300550,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay coastal system","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.0084228515625,\n              37.06394430056685\n            ],\n            [\n              -121.168212890625,\n              37.06394430056685\n            ],\n 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0000-0003-0638-5776 afoxgrover@usgs.gov","orcid":"https://orcid.org/0000-0003-0638-5776","contributorId":3261,"corporation":false,"usgs":true,"family":"Foxgrover","given":"Amy","email":"afoxgrover@usgs.gov","middleInitial":"C.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":547147,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Elias, Edwin P.L.","contributorId":47295,"corporation":false,"usgs":true,"family":"Elias","given":"Edwin","email":"","middleInitial":"P.L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":547249,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Erikson, Li H. 0000-0002-8607-7695 lerikson@usgs.gov","orcid":"https://orcid.org/0000-0002-8607-7695","contributorId":3170,"corporation":false,"usgs":true,"family":"Erikson","given":"Li H.","email":"lerikson@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":547250,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hein, James R. 0000-0002-5321-899X jhein@usgs.gov","orcid":"https://orcid.org/0000-0002-5321-899X","contributorId":140835,"corporation":false,"usgs":true,"family":"Hein","given":"James","email":"jhein@usgs.gov","middleInitial":"R.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":547151,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McGann, Mary 0000-0002-3057-2945 mmcgann@usgs.gov","orcid":"https://orcid.org/0000-0002-3057-2945","contributorId":2849,"corporation":false,"usgs":true,"family":"McGann","given":"Mary","email":"mmcgann@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":547153,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mizell, Kira 0000-0002-5066-787X kmizell@usgs.gov","orcid":"https://orcid.org/0000-0002-5066-787X","contributorId":4914,"corporation":false,"usgs":true,"family":"Mizell","given":"Kira","email":"kmizell@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":547251,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rosenbauer, Robert J. brosenbauer@usgs.gov","contributorId":204,"corporation":false,"usgs":true,"family":"Rosenbauer","given":"Robert","email":"brosenbauer@usgs.gov","middleInitial":"J.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":547148,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Swarzenski, Peter W. 0000-0003-0116-0578 pswarzen@usgs.gov","orcid":"https://orcid.org/0000-0003-0116-0578","contributorId":1070,"corporation":false,"usgs":true,"family":"Swarzenski","given":"Peter","email":"pswarzen@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":547155,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Takesue, Renee K. 0000-0003-1205-0825 rtakesue@usgs.gov","orcid":"https://orcid.org/0000-0003-1205-0825","contributorId":2159,"corporation":false,"usgs":true,"family":"Takesue","given":"Renee","email":"rtakesue@usgs.gov","middleInitial":"K.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":547156,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Wong, Florence L. 0000-0002-3918-5896 fwong@usgs.gov","orcid":"https://orcid.org/0000-0002-3918-5896","contributorId":1990,"corporation":false,"usgs":true,"family":"Wong","given":"Florence","email":"fwong@usgs.gov","middleInitial":"L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":547150,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Woodrow, Don dwoodrow@usgs.gov","contributorId":4068,"corporation":false,"usgs":true,"family":"Woodrow","given":"Don","email":"dwoodrow@usgs.gov","affiliations":[],"preferred":true,"id":547149,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70154759,"text":"70154759 - 2013 - Observations on the identification of larval and juvenile <i>Scaphirhynchus</i> spp. in the lower Mississippi River","interactions":[],"lastModifiedDate":"2015-07-01T11:07:10","indexId":"70154759","displayToPublicDate":"2013-02-01T00:00:00","publicationYear":"2013","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":"Observations on the identification of larval and juvenile <i>Scaphirhynchus</i> spp. in the lower Mississippi River","docAbstract":"<p><i>Scaphirhynchus albus</i><span>&nbsp;(Pallid Sturgeon) and&nbsp;</span><i>S. platorynchus</i><span>&nbsp;(Shovelnose Sturgeon) are sympatric and not uncommon in the lower Mississippi River from the confluence of the Ohio River to the Gulf of Mexico, and in its distributary, the Atchafalaya River. Reports of sturgeon larvae have been rare in the Mississippi River but have been increasing with more effective collection methods. A suite of characters identified in hatchery-reared larval Pallid Sturgeon and Shovelnose Sturgeon from the Yellowstone and upper Missouri rivers has been used to distinguish larval&nbsp;</span><i>Scaphirhynchus</i><span>&nbsp;spp. In the Mississippi River; however, a large proportion of wild&nbsp;</span><i>Scaphirhynchus</i><span>&nbsp;spp. larvae are intermediate in these characters and have been identified by some as hybridized Pallid Sturgeon and Shovelnose Sturgeon. We applied three diagnostic characters developed from Missouri River sturgeon larvae to hatchery-reared progeny of Atchafalaya River Pallid Sturgeon and found them inadequate to identify most of the known Pallid sturgeon larvae. Additionally, fewer than 10% of a large sample of wild&nbsp;</span><i>Scaphirhynchus</i><span>spp. larvae from the lower Mississippi River conformed to either Pallid Sturgeon or Shovelnose Sturgeon at two or more of the characters. We also found a small mouth width relative to head width and a concave forward barbel position may be useful for the identification of 30% or more&nbsp;</span><i>Scaphirhynchus</i><span>&nbsp;spp. larvae and postlarval young-of-year as Shovelnose Sturgeon. Established adult character indices and diagnostic measurement proportionalities also failed to correctly identify any hatchery-reared Pallid Sturgeon juveniles recaptured 6&ndash;7 years following their release.</span></p>","language":"English","publisher":"Eagle Hill Institute","doi":"10.1656/058.012.0202","usgsCitation":"Hartfield, P., Kuntz, N.M., and Schramm, H.L., 2013, Observations on the identification of larval and juvenile <i>Scaphirhynchus</i> spp. in the lower Mississippi River: Southeastern Naturalist, v. 12, no. 2, p. 251-266, https://doi.org/10.1656/058.012.0202.","productDescription":"16 p.","startPage":"251","endPage":"266","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-041405","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":305525,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55950f35e4b0b6d21dd6cbf5","contributors":{"authors":[{"text":"Hartfield, Paul D.","contributorId":103960,"corporation":false,"usgs":true,"family":"Hartfield","given":"Paul D.","affiliations":[],"preferred":false,"id":564031,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kuntz, Nathan M.","contributorId":145433,"corporation":false,"usgs":false,"family":"Kuntz","given":"Nathan","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":564032,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schramm, Harold L. Jr. hschramm@usgs.gov","contributorId":145424,"corporation":false,"usgs":true,"family":"Schramm","given":"Harold","suffix":"Jr.","email":"hschramm@usgs.gov","middleInitial":"L.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":563980,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70043058,"text":"ofr20131008 - 2013 - A preliminary deposit model for lithium-cesium-tantalum (LCT) pegmatites","interactions":[],"lastModifiedDate":"2016-12-21T09:41:03","indexId":"ofr20131008","displayToPublicDate":"2013-02-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1008","title":"A preliminary deposit model for lithium-cesium-tantalum (LCT) pegmatites","docAbstract":"This report is part of an effort by the U.S. Geological Survey to update existing mineral deposit models and to develop new ones. We emphasize practical aspects of pegmatite geology that might directly or indirectly help in exploration for lithium-cesium-tantalum (LCT) pegmatites, or for assessing regions for pegmatite-related mineral resource potential. These deposits are an important link in the world’s supply chain of rare and strategic elements, accounting for about one-third of world lithium production, most of the tantalum, and all of the cesium.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131008","usgsCitation":"Bradley, D., and McCauley, A., 2013, A preliminary deposit model for lithium-cesium-tantalum (LCT) pegmatites (Version 1.0: February 1, 2013; Version 1.1: December 20, 2016): U.S. Geological Survey Open-File Report 2013-1008, iii, 7 p., https://doi.org/10.3133/ofr20131008.","productDescription":"iii, 7 p.","numberOfPages":"10","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":266897,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2013/1008/images/coverthb.jpg"},{"id":266895,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1008/"},{"id":266896,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1008/OF13-1008.pdf"},{"id":332288,"rank":4,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/of/2013/1008/versionHist.txt","text":"Version History","size":"1.0 kB","linkFileType":{"id":2,"text":"txt"},"description":"OFR 2013-1008 Version History"}],"edition":"Version 1.0: February 1, 2013; Version 1.1: December 20, 2016","revisedDate":"2016-12-20","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"510ce3ede4b0ae2ee50d95e7","contributors":{"authors":[{"text":"Bradley, Dwight","contributorId":32641,"corporation":false,"usgs":true,"family":"Bradley","given":"Dwight","affiliations":[],"preferred":false,"id":472880,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCauley, Andrew","contributorId":48846,"corporation":false,"usgs":true,"family":"McCauley","given":"Andrew","affiliations":[],"preferred":false,"id":472881,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70042722,"text":"ds706 - 2013 - Groundwater-quality data in the Western San Joaquin Valley study unit, 2010 - Results from the California GAMA Program","interactions":[],"lastModifiedDate":"2026-05-07T17:03:41.974307","indexId":"ds706","displayToPublicDate":"2013-01-31T00:00:00","publicationYear":"2013","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":"706","title":"Groundwater-quality data in the Western San Joaquin Valley study unit, 2010 - Results from the California GAMA Program","docAbstract":"Groundwater quality in the approximately 2,170-square-mile Western San Joaquin Valley (WSJV) study unit was investigated by the U.S. Geological Survey (USGS) from March to July 2010, as part of the California State Water Resources Control Board (SWRCB) Groundwater Ambient Monitoring and Assessment (GAMA) Program's Priority Basin Project (PBP). The GAMA-PBP was developed in response to the California Groundwater Quality Monitoring Act of 2001 and is being conducted in collaboration with the SWRCB and Lawrence Livermore National Laboratory (LLNL). The WSJV study unit was the twenty-ninth study unit to be sampled as part of the GAMA-PBP. The GAMA Western San Joaquin Valley study was designed to provide a spatially unbiased assessment of untreated-groundwater quality in the primary aquifer system, and to facilitate statistically consistent comparisons of untreated groundwater quality throughout California. The primary aquifer system is defined as parts of aquifers corresponding to the perforation intervals of wells listed in the California Department of Public Health (CDPH) database for the WSJV study unit. Groundwater quality in the primary aquifer system may differ from the quality in the shallower or deeper water-bearing zones; shallow groundwater may be more vulnerable to surficial contamination. In the WSJV study unit, groundwater samples were collected from 58 wells in 2 study areas (Delta-Mendota subbasin and Westside subbasin) in Stanislaus, Merced, Madera, Fresno, and Kings Counties. Thirty-nine of the wells were selected by using a spatially distributed, randomized grid-based method to provide statistical representation of the study unit (grid wells), and 19 wells were selected to aid in the understanding of aquifer-system flow and related groundwater-quality issues (understanding wells). The groundwater samples were analyzed for organic constituents (volatile organic compounds [VOCs], low-level fumigants, and pesticides and pesticide degradates), constituents of special interest (perchlorate, <i>N</i>-nitrosodimethylamine [NDMA], and 1,2,3-trichloropropane [1,2,3-TCP]), and naturally occurring inorganic constituents (trace elements, nutrients, dissolved organic carbon [DOC], major and minor ions, silica, total dissolved solids [TDS], alkalinity, total arsenic and iron [unfiltered] and arsenic, chromium, and iron species [filtered]). Isotopic tracers (stable isotopes of hydrogen, oxygen, and boron in water, stable isotopes of nitrogen and oxygen in dissolved nitrate, stable isotopes of sulfur in dissolved sulfate, isotopic ratios of strontium in water, stable isotopes of carbon in dissolved inorganic carbon, activities of tritium, and carbon-14 abundance), dissolved standard gases (methane, carbon dioxide, nitrogen, oxygen, and argon), and dissolved noble gases (argon, helium-4, krypton, neon, and xenon) were measured to help identify sources and ages of sampled groundwater. In total, 245 constituents and 8 water-quality indicators were measured. Quality-control samples (blanks, replicates, or matrix spikes) were collected at 16 percent of the wells in the WSJV study unit, and the results for these samples were used to evaluate the quality of the data from the groundwater samples. Blanks rarely contained detectable concentrations of any constituent, suggesting that contamination from sample collection procedures was not a significant source of bias in the data for the groundwater samples. Replicate samples all were within acceptable limits of variability. Matrix-spike recoveries were within the acceptable range (70 to 130 percent) for approximately 87 percent of the compounds. This study did not evaluate the quality of water delivered to consumers. After withdrawal, groundwater typically is treated, disinfected, and (or) blended with other waters to maintain water quality. Regulatory benchmarks apply to water that is delivered to the consumer, not to untreated groundwater. However, to provide some context for the results, concentrations of constituents measured in the untreated groundwater were compared with regulatory and non-regulatory health-based benchmarks established by the U.S. Environmental Protection Agency (USEPA) and CDPH, and to non-regulatory benchmarks established for aesthetic concerns by CDPH. Comparisons between data collected for this study and benchmarks for drinking water are for illustrative purposes only and are not indicative of compliance or non-compliance with those benchmarks. Most inorganic constituents detected in groundwater samples from the 39 grid wells were detected at concentrations less than health-based benchmarks. Detections of organic and special-interest constituents from grid wells sampled in the WSJV study unit also were less than health-based benchmarks. In total, VOCs were detected in 12 of the 39 grid wells sampled (approximately 31 percent), pesticides and pesticide degradates were detected in 9 grid wells (approximately 23 percent), and perchlorate was detected in 15 grid wells (approximately 38 percent). Trace elements, major and minor ions, and nutrients were sampled for at 39 grid wells; most concentrations were less than health-based benchmarks. Exceptions include two detections of arsenic greater than the USEPA maximum contaminant level (MCL-US) of 10 micrograms per liter (&mu;g/L), 20 detections of boron greater than the CDPH notification level (NL-CA) of 1,000 &mu;g/L, 2 detections of molybdenum greater than the USEPA lifetime health advisory level (HAL-US) of 40 &mu;g/L, 1 detection of selenium greater than the MCL-US of 50 &mu;g/L, 2 detections of strontium greater than the HAL-US of 4,000 &mu;g/L, and 3 detections of nitrate greater than the MCL-US of 10 &mu;g/L. Results for inorganic constituents with non-health-based benchmarks (iron, manganese, chloride, sulfate, and TDS) showed that iron concentrations greater than the CDPH secondary maximum contaminant level (SMCL-CA) of 300 &mu;g/L were detected in five grid wells. Manganese concentrations greater than the SMCL-CA of 50 &mu;g/L were detected in 16 grid wells. Chloride concentrations greater than the recommended SMCL-CA benchmark of 250 milligrams per liter (mg/L) were detected in 14 grid wells, and concentrations in 5 of these wells also were greater than the upper SMCL-CA benchmark of 500 mg/L. Sulfate concentrations greater than the recommended SMCL-CA benchmark of 250 mg/L were measured in 21 grid wells, and concentrations in 13 of these wells also were greater than the SMCL-CA upper benchmark of 500 mg/L. TDS concentrations greater than the SMCL-CA recommended benchmark of 500 mg/L were measured in 36 grid wells, and concentrations in 20 of these wells also were greater than the SMCL-CA upper benchmark of 1,000 mg/L.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds706","collaboration":"A product of the California Groundwater Ambient Monitoring and Assessment (GAMA) Program; Prepared in cooperation with the California State Water Resources Control Board","usgsCitation":"Mathany, T., Landon, M.K., Shelton, J.L., and Belitz, K., 2013, Groundwater-quality data in the Western San Joaquin Valley study unit, 2010 - Results from the California GAMA Program: U.S. Geological Survey Data Series 706, x, 104 p., https://doi.org/10.3133/ds706.","productDescription":"x, 104 p.","numberOfPages":"116","ipdsId":"IP-027484","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":266860,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/706/"},{"id":266861,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/706/pdf/ds706.pdf"},{"id":504108,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_98125.htm","linkFileType":{"id":5,"text":"html"}},{"id":266862,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_706.jpg"}],"country":"United States","state":"California","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -0.01611111111111111,8.333333333333334E-4 ], [ -0.01611111111111111,0.0011111111111111111 ], [ -0.01638888888888889,0.0011111111111111111 ], [ -0.01638888888888889,8.333333333333334E-4 ], [ -0.01611111111111111,8.333333333333334E-4 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"510b9279e4b0947afa3c8540","contributors":{"authors":[{"text":"Mathany, Timothy M. 0000-0002-4747-5113","orcid":"https://orcid.org/0000-0002-4747-5113","contributorId":99949,"corporation":false,"usgs":true,"family":"Mathany","given":"Timothy M.","affiliations":[],"preferred":false,"id":472117,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Landon, Matthew K. 0000-0002-5766-0494 landon@usgs.gov","orcid":"https://orcid.org/0000-0002-5766-0494","contributorId":392,"corporation":false,"usgs":true,"family":"Landon","given":"Matthew","email":"landon@usgs.gov","middleInitial":"K.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":472114,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shelton, Jennifer L. 0000-0001-8508-0270 jshelton@usgs.gov","orcid":"https://orcid.org/0000-0001-8508-0270","contributorId":1155,"corporation":false,"usgs":true,"family":"Shelton","given":"Jennifer","email":"jshelton@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":472116,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Belitz, Kenneth 0000-0003-4481-2345 kbelitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":442,"corporation":false,"usgs":true,"family":"Belitz","given":"Kenneth","email":"kbelitz@usgs.gov","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"preferred":true,"id":472115,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70042979,"text":"70042979 - 2013 - Structure and development of old-growth, unmanaged second-growth, and extended rotation <i>Pinus resinosa</i> forests in Minnesota, USA","interactions":[],"lastModifiedDate":"2013-01-31T11:14:34","indexId":"70042979","displayToPublicDate":"2013-01-25T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Structure and development of old-growth, unmanaged second-growth, and extended rotation <i>Pinus resinosa</i> forests in Minnesota, USA","docAbstract":"The structure and developmental dynamics of old-growth forests often serve as important baselines for restoration prescriptions aimed at promoting more complex structural conditions in managed forest landscapes. Nonetheless, long-term information on natural patterns of development is rare for many commercially important and ecologically widespread forest types. Moreover, the effectiveness of approaches recommended for restoring old-growth structural conditions to managed forests, such as the application of extended rotation forestry, has been little studied. This study uses several long-term datasets from old growth, extended rotation, and unmanaged second growth <i>Pinus resinosa</i> (red pine) forests in northern Minnesota, USA, to quantify the range of variation in structural conditions for this forest type and to evaluate the effectiveness of extended rotation forestry at promoting the development of late-successional structural conditions. Long-term tree population data from permanent plots for one of the old-growth stands and the extended rotation stands (87 and 61 years, respectively) also allowed for an examination of the long-term structural dynamics of these systems. Old-growth forests were more structurally complex than unmanaged second-growth and extended rotation red pine stands, due in large part to the significantly higher volumes of coarse woody debris (70.7 vs. 11.5 and 4.7 m<sup>3</sup>/ha, respectively) and higher snag basal area (6.9 vs. 2.9 and 0.5 m<sup>2</sup>/ha, respectively). In addition, old-growth forests, although red pine-dominated, contained a greater abundance of other species, including <i>Pinus strobus</i>, <i>Abies balsamea</i>, and <i>Picea glauca</i> relative to the other stand types examined. These differences between stand types largely reflect historic gap-scale disturbances within the old-growth systems and their corresponding structural and compositional legacies. Nonetheless, extended rotation thinning treatments, by accelerating advancement to larger tree diameter classes, generated diameter distributions more closely approximating those found in old growth within a shorter time frame than depicted in long-term examinations of old-growth structural development. These results suggest that extended rotation treatments may accelerate the development of old-growth structural characteristics, provided that coarse woody debris and snags are deliberately retained and created on site. These and other developmental characteristics of old-growth systems can inform forest management when objectives include the restoration of structural conditions found in late-successional forests.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Forest Ecology and Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.foreco.2012.11.033","usgsCitation":"Silver, E.J., D’Amato, A.W., Fraver, S., Palik, B.J., and Bradford, J.B., 2013, Structure and development of old-growth, unmanaged second-growth, and extended rotation <i>Pinus resinosa</i> forests in Minnesota, USA: Forest Ecology and Management, v. 291, p. 110-118, https://doi.org/10.1016/j.foreco.2012.11.033.","productDescription":"9 p.","startPage":"110","endPage":"118","numberOfPages":"9","ipdsId":"IP-041114","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":266801,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":266727,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.foreco.2012.11.033"}],"country":"United States","state":"Minnesota","otherGeospatial":"Chippewa National Forest;Itasca State Park;Scenic State Park;Superior National Forest","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -97.24,46.36 ], [ -97.24,48.02 ], [ -89.49,48.02 ], [ -89.49,46.36 ], [ -97.24,46.36 ] ] ] } } ] }","volume":"291","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"510ba09ae4b0947afa3c860c","contributors":{"authors":[{"text":"Silver, Emily J.","contributorId":29288,"corporation":false,"usgs":true,"family":"Silver","given":"Emily","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":472721,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"D’Amato, Anthony W.","contributorId":28140,"corporation":false,"usgs":false,"family":"D’Amato","given":"Anthony","email":"","middleInitial":"W.","affiliations":[{"id":6735,"text":"University of Vermont, Rubenstein School of Environment and Natural Resources","active":true,"usgs":false},{"id":13478,"text":"Department of Forest Resources, University of Minnesota, St. Paul, Minnesota (Correspondence to: russellm@umn.edu)","active":true,"usgs":false}],"preferred":false,"id":472720,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fraver, Shawn","contributorId":91379,"corporation":false,"usgs":false,"family":"Fraver","given":"Shawn","email":"","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":472723,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Palik, Brian J.","contributorId":78619,"corporation":false,"usgs":true,"family":"Palik","given":"Brian","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":472722,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bradford, John B. 0000-0001-9257-6303 jbradford@usgs.gov","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":611,"corporation":false,"usgs":true,"family":"Bradford","given":"John","email":"jbradford@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":472719,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70042848,"text":"70042848 - 2013 - Molecular techniques to distinguish morphologically similar <i>Hydrilla verticillata</i>, <i>Egeria densa</i>, <i>Elodea nuttallii</i>, and <i>Elodea canadensis</i>","interactions":[],"lastModifiedDate":"2016-06-28T17:01:07","indexId":"70042848","displayToPublicDate":"2013-01-25T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2180,"text":"Journal of Aquatic Plant Management","active":true,"publicationSubtype":{"id":10}},"title":"Molecular techniques to distinguish morphologically similar <i>Hydrilla verticillata</i>, <i>Egeria densa</i>, <i>Elodea nuttallii</i>, and <i>Elodea canadensis</i>","docAbstract":"<p>The four submerged aquatic species, hydrilla (Hydrilla verticillata [monoecious and dioecious]), Brazilian waterweed (Egeria densa), Canadian waterweed (Elodea canadensis), and western waterweed (Elodea nuttallii), are difficult to positively identify because of their morphological similarity to each other, resulting in possible misidentification. This limits our ability to understand their past and present distribution, which is important in aquatic plant management. We investigated a molecular technique to identify these species, which are problematic because of their invasive nature on multiple continents. Approximately 100 samples of these species, ranging in age from 40-yr-old herbarium samples to recently collected plants, were collected from regions across the United States. The distribution and range of the samples collected in this research were compared to those reported in the literature. We confirmed information on the current wide distribution of both hydrilla biotypes in the United States and discovered that hydrilla had actually invaded the waterways near Washington, DC 6 yr earlier than originally reported. In addition, we found evidence of the confusion, dating back to the 1980s, between Canadian waterweed and western waterweed in the mid-Atlantic region of the United States. Canadian waterweed was previously reported as common and western waterweed as rare; however, our samples indicate the opposite is true. This information indicates there is a need for investigators to anticipate the spread of hydrilla populations to northern U.S. waterways, where it will compete with existing plant species, including Canadian and western waterweeds. Our ability to confirm distribution and pace of spread of invasive and noninvasive species will improve with increased application of molecular techniques.</p>","language":"English","publisher":"Aquatic Plant Management Society","usgsCitation":"Rybicki, N.B., Kirshtein, J.D., and Voytek, M.A., 2013, Molecular techniques to distinguish morphologically similar <i>Hydrilla verticillata</i>, <i>Egeria densa</i>, <i>Elodea nuttallii</i>, and <i>Elodea canadensis</i>: Journal of Aquatic Plant Management, v. 51, p. 94-102.","productDescription":"9 p.","startPage":"94","endPage":"102","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-027435","costCenters":[],"links":[{"id":324578,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":297318,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://apms.org/2015/01/journal-of-aquatic-plant-management-volume-51-2013/"}],"country":"UNITED STATES","volume":"51","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57739fb3e4b07657d1a90cef","contributors":{"authors":[{"text":"Rybicki, Nancy B. 0000-0002-2205-7927 nrybicki@usgs.gov","orcid":"https://orcid.org/0000-0002-2205-7927","contributorId":2142,"corporation":false,"usgs":true,"family":"Rybicki","given":"Nancy","email":"nrybicki@usgs.gov","middleInitial":"B.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":641180,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kirshtein, Julie D.","contributorId":26033,"corporation":false,"usgs":true,"family":"Kirshtein","given":"Julie","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":641181,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Voytek, Mary A.","contributorId":91943,"corporation":false,"usgs":true,"family":"Voytek","given":"Mary","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":641182,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70042867,"text":"ofr20131026 - 2013 - Abstracts for the October 2012 meeting on Volcanism in the American Southwest, Flagstaff, Arizona","interactions":[],"lastModifiedDate":"2013-01-29T16:29:22","indexId":"ofr20131026","displayToPublicDate":"2013-01-25T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1026","title":"Abstracts for the October 2012 meeting on Volcanism in the American Southwest, Flagstaff, Arizona","docAbstract":"Though volcanic eruptions are comparatively rare in the American Southwest, the States of Arizona, Colorado, New Mexico, Nevada, and Utah host Holocene volcanic eruption deposits and are vulnerable to future volcanic activity. Compared with other parts of the western United States, comparatively little research has been focused on this area, and eruption probabilities are poorly constrained. Monitoring infrastructure consists of a variety of local seismic networks, and ”backbone“ geodetic networks with little integration. Emergency response planning for volcanic unrest has received little attention by either Federal or State agencies. On October 18–20, 2012, 90 people met at the U.S. Geological Survey campus in Flagstaff, Arizona, providing an opportunity for volcanologists, land managers, and emergency responders to meet, converse, and begin to plan protocols for any future activity. Geologists contributed data on recent findings of eruptive ages, eruption probabilities, and hazards extents (plume heights, ash dispersal). Geophysicists discussed evidence for magma intrusions from seismic, geodetic, and other geophysical techniques. Network operators publicized their recent work and the relevance of their equipment to volcanic regions. Land managers and emergency responders shared their experiences with emergency planning for earthquakes. The meeting was organized out of the recognition that little attention had been paid to planning for or mitigation of volcanic hazards in the American Southwest. Moreover, few geological meetings have hosted a session specifically devoted to this topic. This volume represents one official outcome of the meeting—a collection of abstracts related to talks and poster presentations shared during the first two days of the meeting. In addition, this report includes the meeting agenda as a record of the proceedings. One additional intended outcome will be greater discussion and coordination among emergency responders, geologists, geophysicists, and land managers regarding geologic hazards in the Southwest.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131026","usgsCitation":"Lowenstern, J.B., 2013, Abstracts for the October 2012 meeting on Volcanism in the American Southwest, Flagstaff, Arizona: U.S. Geological Survey Open-File Report 2013-1026, vii, 39 p., https://doi.org/10.3133/ofr20131026.","productDescription":"vii, 39 p.","startPage":"i","endPage":"39","numberOfPages":"49","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":619,"text":"Volcano Science Center-Menlo Park","active":false,"usgs":true}],"links":[{"id":266544,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2013_1026.gif"},{"id":266542,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1026/of2013-1026.pdf"},{"id":266543,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1026/"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 172.5,18.9 ], [ 172.5,71.4 ], [ -66.9,71.4 ], [ -66.9,18.9 ], [ 172.5,18.9 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5104fae2e4b091226576e996","contributors":{"authors":[{"text":"Lowenstern, Jacob B. 0000-0003-0464-7779 jlwnstrn@usgs.gov","orcid":"https://orcid.org/0000-0003-0464-7779","contributorId":2755,"corporation":false,"usgs":true,"family":"Lowenstern","given":"Jacob","email":"jlwnstrn@usgs.gov","middleInitial":"B.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":472445,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70148265,"text":"70148265 - 2013 - Mw 8.6 Sumatran earthquake of 11 April 2012: rare seaward expression of oblique subduction","interactions":[],"lastModifiedDate":"2015-05-26T12:39:01","indexId":"70148265","displayToPublicDate":"2013-01-17T13:45:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Mw 8.6 Sumatran earthquake of 11 April 2012: rare seaward expression of oblique subduction","docAbstract":"<p>The magnitude 8.6 and 8.2 earthquakes off northwestern Sumatra on 11 April 2012 generated small tsunami waves that were recorded by stations around the Indian Ocean. Combining differential travel-time modeling of tsunami waves with results from back projection of seismic data reveals a complex source with a significant trench-parallel component. The oblique plate convergence indicates that ~20-50 m of trench-parallel displacement could have accumulated since the last megathrust earthquake, only part of which has been taken up by the Great Sumatran fault. This suggests that the remaining trench-parallel motion was released during the magnitude 8.6 earthquake on 11 April 2012 within the subducting plate. The magnitude 8.6 earthquake is interpreted to be a result of oblique subduction as well as a reduction in normal stress due to the occurrence of the Sumatra-Andaman earthquake in 2004.</p>","language":"English","publisher":"Geological Society of America","publisherLocation":"Boulder, CO","doi":"10.1130/G33783.1","usgsCitation":"Ishii, M., Kiser, E., and Geist, E.L., 2013, Mw 8.6 Sumatran earthquake of 11 April 2012: rare seaward expression of oblique subduction: Geology, v. 41, no. 3, p. 319-322, https://doi.org/10.1130/G33783.1.","productDescription":"4 p.","startPage":"319","endPage":"322","numberOfPages":"4","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-041719","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":300791,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"41","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2013-01-17","publicationStatus":"PW","scienceBaseUri":"5565994ee4b0d9246a9eb635","contributors":{"authors":[{"text":"Ishii, Miaki","contributorId":140929,"corporation":false,"usgs":false,"family":"Ishii","given":"Miaki","email":"","affiliations":[{"id":13619,"text":"Department of Earth & Planetary Sciences, Harvard University, Cambridge, MA","active":true,"usgs":false}],"preferred":false,"id":547618,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kiser, Eric","contributorId":140928,"corporation":false,"usgs":false,"family":"Kiser","given":"Eric","email":"","affiliations":[{"id":13619,"text":"Department of Earth & Planetary Sciences, Harvard University, Cambridge, MA","active":true,"usgs":false}],"preferred":false,"id":547617,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Geist, Eric L. 0000-0003-0611-1150 egeist@usgs.gov","orcid":"https://orcid.org/0000-0003-0611-1150","contributorId":1956,"corporation":false,"usgs":true,"family":"Geist","given":"Eric","email":"egeist@usgs.gov","middleInitial":"L.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":547616,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70042680,"text":"ofr20131016 - 2013 - Hydraulic and Geomorphic Assessment of the Merced River and Historic Bridges in Eastern Yosemite Valley, Yosemite National Park, California: Sacramento, California","interactions":[],"lastModifiedDate":"2013-01-17T11:03:32","indexId":"ofr20131016","displayToPublicDate":"2013-01-17T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1016","title":"Hydraulic and Geomorphic Assessment of the Merced River and Historic Bridges in Eastern Yosemite Valley, Yosemite National Park, California: Sacramento, California","docAbstract":"The Merced River in the popular and picturesque eastern-most part of Yosemite Valley in Yosemite National Park, California, USA, has been extensively altered since the park was first conceived in 1864. Historical human trampling of streambanks has been suggested as the cause of substantial increases in stream width, and the construction of undersized stone bridges in the 1920s has been suggested as the major factor leading to an increase in overbank flooding due to deposition of bars and islands between the bridges. In response, the National Park Service at Yosemite National Park (YNP) requested a study of the hydraulic and geomorphic conditions affecting the most-heavily influenced part of the river, a 2.4-km reach in eastern Yosemite Valley extending from above the Tenaya Creek and Merced River confluence to below Housekeeping Bridge. As part of the study, present-day conditions were compared to historical conditions and several possible planning scenarios were investigated, including the removal of an elevated road berm and the removal of three undersized historic stone bridges identified by YNP as potential problems: Sugar Pine, Ahwahnee and Stoneman Bridges. This Open-File Report will be superseded at a later date by a Scientific Investigations Report. A two-dimensional hydrodynamic model, the USGS FaSTMECH (Flow and Sediment Transport with Morphological Evolution of Channels) model, within the USGS International River Interface Cooperative (iRIC) model framework, was used to compare the scenarios over a range of discharges with annual exceedance probabilities of 50-, 20-, 10-, and 5- percent. A variety of topographic and hydraulic data sources were used to create the input conditions to the hydrodynamic model, including aerial LiDAR (Light Detection And Ranging), ground-based LiDAR, total station survey data, and grain size data from pebble counts. A digitized version of a historical topographic map created by the USGS in 1919, combined with estimates of grain size, was used to simulate historical conditions, and the planning scenarios were developed by altering the present-day topography. Roughness was estimated independently of measured water-surface elevations by using the mapped grain-size data and the Keulegan relation of grain size to drag coefficient. The FaSTMECH hydrodynamic model was evaluated against measured water levels by using a 130.9 m<sup>3</sup> s<sup>-1</sup> flow (approximately a 33-percent annual exceedance probability flood) with 36 water-surface elevations measured by YNP personnel on June 8, 2010. This evaluation run had a root mean square error of 0.21 m between the simulated- and observed water-surface elevations (less than 10 percent of depth), though the observed water-surface elevations had relatively high variation due to the strong diurnal stage changes over the course of the 4.4-hour collection period, during which discharge varied by about 15 percent. There are presently no velocity data with which to test the model. A geomorphic assessment was performed that consisted of an estimate of the magnitude and frequency of bedload and suspended-sediment transport at “Tenaya Bar”, an important gravel-cobble bar located near the upstream end of the study site that determines the amount of flow across the floodplain at the Sugar Pine – Ahwahnee bend. An analysis of select repeat cross-sections collected by YNP since the late 1980s was done to investigate changes in channel cross-sectional area near the Tenaya Bar site. The results of the FaSTMECH models indicate that the maximum velocities in the present-day channel within the study reach are associated with Stoneman and Sugar Pine Bridges, at close to 3.0 m s<sup>-1</sup> for the 5-percent annual exceedance probability flood. The modeled maximum velocities at Ahwahnee Bridge are comparatively low, at between 1.5 and 2.0 m s<sup>-1</sup>, most likely due to the bridge's orientation parallel to down-valley floodplain flows. The results of the FaSTMECH models for the bridge removal scenarios indicate a reduction in average velocity at the bridge sites for the range of flows by approximately 23-38 percent (Sugar Pine Bridge), 32-42 percent (Ahwahnee Bridge), and 33-39 percent (Stoneman Bridge), though a side channel of concern to YNP management did not appear to be substantially affected by the removal scenarios. In comparison to the historical data, the FaSTMECH results suggest that flows for present-day conditions do not inundate the floodplain until between the 50- and 20-percent annual exceedance probability flood, whereas historically, a large portion of the floodplain was inundated during the 50-percent annual exceedance probability flood. Modeled maximum velocities in the present-day channel commonly exceed 2.0 m s<sup>-1</sup>, whereas with the historical scenario, modeled maximum in-channel velocities rarely exceeded 2.0 m s<sup>-1</sup>. The geomorphic analysis of the magnitude-frequency of bedload and suspended-sediment transport suggests that at the important Tenaya Bar site, the majority of bed sediment is mobile during most snowmelt-dominated floods. In contrast to sediment transport capacity, the analysis of repeat cross-sections suggests that bedload sediment supply into the eastern Yosemite Valley may be quite different between rain-on-snow floods and snowmelt-dominated floods, potentially with most sediment supply occurring during rain-on-snow floods, such as the 1997 flood. In contrast, the magnitude-frequency analysis of bedload and suspended-sediment transport suggests that long-term bedload sediment transport is likely dominated by snowmelt floods, and suspended-sediment transport is relatively low compared to bedload transport. Obtaining measured velocity data throughout the study reach would aid in model calibration, and thus would improve confidence in model results. Improved confidence in the model velocity results would allow additional substantial analyses of reach-scale effects of the planning scenarios and would enable the development of geomorphic models to evaluate the long-term geomorphic responses of the site. In addition, the collection of watershed sediment-supply data, about which little is presently known, would give planners helpful tools to plan restoration scenarios for this nationally important river.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131016","usgsCitation":"Minear, J., and Wright, S., 2013, Hydraulic and Geomorphic Assessment of the Merced River and Historic Bridges in Eastern Yosemite Valley, Yosemite National Park, California: Sacramento, California: U.S. Geological Survey Open-File Report 2013-1016, ix, 79 p., https://doi.org/10.3133/ofr20131016.","productDescription":"ix, 79 p.","numberOfPages":"88","additionalOnlineFiles":"N","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":265804,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2013_1016.jpg"},{"id":265802,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1016/"},{"id":265803,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1016/pdf/ofr2013-1016.pdf"}],"country":"United States","state":"California","otherGeospatial":"Illilouette Creek;Tenaya Creek;Upper Merced;Yosemite Valley","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -119.7,37.639 ], [ -119.7,37.816 ], [ -119.35,37.816 ], [ -119.35,37.639 ], [ -119.7,37.639 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50f91d6de4b0727905955f14","contributors":{"authors":[{"text":"Minear, J. Toby","contributorId":9938,"corporation":false,"usgs":true,"family":"Minear","given":"J. Toby","affiliations":[],"preferred":false,"id":472044,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wright, Scott 0000-0002-0387-5713 sawright@usgs.gov","orcid":"https://orcid.org/0000-0002-0387-5713","contributorId":1536,"corporation":false,"usgs":true,"family":"Wright","given":"Scott","email":"sawright@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":472043,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70126204,"text":"70126204 - 2013 - Methylmercury is the predominant form of mercury in bird eggs: a synthesis","interactions":[],"lastModifiedDate":"2017-07-19T15:48:25","indexId":"70126204","displayToPublicDate":"2013-01-01T18:05:24","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Methylmercury is the predominant form of mercury in bird eggs: a synthesis","docAbstract":"Bird eggs are commonly used in mercury monitoring programs to assess methylmercury contamination and toxicity to birds. However, only 6% of >200 studies investigating mercury in bird eggs have actually measured methylmercury concentrations in eggs. Instead, studies typically measure total mercury in eggs (both organic and inorganic forms of mercury), with the explicit assumption that total mercury concentrations in eggs are a reliable proxy for methylmercury concentrations in eggs. This assumption is rarely tested, but has important implications for assessing risk of mercury to birds. We conducted a detailed assessment of this assumption by (1) collecting original data to examine the relationship between total and methylmercury in eggs of two species, and (2) reviewing the published literature on mercury concentrations in bird eggs to examine whether the percentage of total mercury in the methylmercury form differed among species. Within American avocets (<i>Recurvirostra americana</i>) and Forster’s terns (<i>Sterna forsteri</i>), methylmercury concentrations were highly correlated (R<sup>2</sup> = 0.99) with total mercury concentrations in individual eggs (range: 0.03–7.33 μg/g fww), and the regression slope (log scale) was not different from one (m = 0.992). The mean percentage of total mercury in the methylmercury form in eggs was 97% for American avocets (n = 30 eggs), 96% for Forster’s terns (n = 30 eggs), and 96% among all 22 species of birds (n = 30 estimates of species means). The percentage of total mercury in the methylmercury form ranged from 63% to 116% among individual eggs and 82% to 111% among species means, but this variation was not related to total mercury concentrations in eggs, foraging guild, nor to a species life history strategy as characterized along the precocial to altricial spectrum. Our results support the use of total mercury concentrations to estimate methylmercury concentrations in bird eggs.","language":"English","publisher":"American Chemical Society","doi":"10.1021/es304385y","usgsCitation":"Ackerman, J., Herzog, M., and Schwarzbach, S.E., 2013, Methylmercury is the predominant form of mercury in bird eggs: a synthesis: Environmental Science & Technology, v. 47, no. 4, p. 2052-2060, https://doi.org/10.1021/es304385y.","productDescription":"9 p.","startPage":"2052","endPage":"2060","numberOfPages":"9","ipdsId":"IP-043304","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":294255,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294225,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es304385y"}],"volume":"47","issue":"4","noUsgsAuthors":false,"publicationDate":"2013-01-31","publicationStatus":"PW","scienceBaseUri":"541d459fe4b0f68901ec30ca","contributors":{"authors":[{"text":"Ackerman, Joshua T. 0000-0002-3074-8322 jackerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":147078,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua T.","email":"jackerman@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":501921,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Herzog, Mark P. mherzog@usgs.gov","contributorId":3965,"corporation":false,"usgs":true,"family":"Herzog","given":"Mark P.","email":"mherzog@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":501920,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schwarzbach, Steven E. steven_schwarzbach@usgs.gov","contributorId":1025,"corporation":false,"usgs":true,"family":"Schwarzbach","given":"Steven","email":"steven_schwarzbach@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":501919,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70004830,"text":"70004830 - 2013 - Environmental impact of the landslides caused by the 12 May 2008, Wenchuan, China earthquake","interactions":[],"lastModifiedDate":"2018-08-15T13:43:41","indexId":"70004830","displayToPublicDate":"2013-01-01T17:07:48","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Environmental impact of the landslides caused by the 12 May 2008, Wenchuan, China earthquake","docAbstract":"The magnitude 7.9 (M<sub>w</sub>) Wenchuan, China, earthquake of May 12, 2008 caused at least 88,000 deaths of which one third are estimated to be due to the more than 56,000 earthquake-induced landslides. The affected area is mountainous, featuring densely-vegetated, steep slopes through which narrowly confined rivers and streams flow. Numerous types of landslides occurred in the area, including rock avalanches, rock falls, translational and rotational slides, lateral spreads and debris flows. Some landslides mobilized hundreds of million cubic meters of material, often resulting in the damming of rivers and streams, impacting river ecosystems and morphology. Through an extensive search of both Chinese- and English-language publications we provide a summary of pertinent research on environmental effects, emphasizing key findings. Environmental effects caused by landslides include the alteration of agriculture, changes to natural ecosystems, changes in river morphology due to landslide dams and other effects such as sedimentation and flooding. Damage by landslides to the giant panda reserve infrastructure and habitat, was severe, threatening the survival of one of the world’s rarest species. The Panda reserves are of national significance to China, and to the vital tourism economy of the region. One of the major impacts to both the natural and built environment is the complete relocation of some human populations and infrastructure to new areas, resulting in the abandonment of towns and other areas that were damaged by the earthquake and landslides. The landslide effects have affected the biodiversity of the affected area, and it has been hypothesized that strict forest preservation measures taken in the years preceding the earthquake resulted in a reduction of the environmental damage to the area.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Landslide Science and Practice","language":"English","publisher":"Springer","doi":"10.1007/978-3-642-31427-8_23","usgsCitation":"Highland, L.M., and Sun, P., 2013, Environmental impact of the landslides caused by the 12 May 2008, Wenchuan, China earthquake, chap. <i>of</i> Landslide Science and Practice, p. 179-184, https://doi.org/10.1007/978-3-642-31427-8_23.","productDescription":"6 p.","startPage":"179","endPage":"184","ipdsId":"IP-030745","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":281066,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China","state":"Wenchuan","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 102.8627,30.7646 ], [ 102.8627,31.7162 ], [ 103.7466,31.7162 ], [ 103.7466,30.7646 ], [ 102.8627,30.7646 ] ] ] } } ] }","noUsgsAuthors":false,"publicationDate":"2013-02-06","publicationStatus":"PW","scienceBaseUri":"53cd57a6e4b0b290850f7987","contributors":{"editors":[{"text":"Margottini, Claudio","contributorId":113700,"corporation":false,"usgs":false,"family":"Margottini","given":"Claudio","email":"","affiliations":[],"preferred":false,"id":508261,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Canuti, Paolo","contributorId":114064,"corporation":false,"usgs":true,"family":"Canuti","given":"Paolo","email":"","affiliations":[],"preferred":false,"id":508262,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Sassa, Kyoji","contributorId":113023,"corporation":false,"usgs":true,"family":"Sassa","given":"Kyoji","email":"","affiliations":[],"preferred":false,"id":508260,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Highland, Lynn M. highland@usgs.gov","contributorId":1292,"corporation":false,"usgs":true,"family":"Highland","given":"Lynn","email":"highland@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":351437,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sun, Ping","contributorId":94215,"corporation":false,"usgs":true,"family":"Sun","given":"Ping","email":"","affiliations":[],"preferred":false,"id":351438,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70073514,"text":"70073514 - 2013 - Movement and longevity of imperiled Okaloosa Darters (Etheostoma okaloosae)","interactions":[],"lastModifiedDate":"2014-01-21T14:48:23","indexId":"70073514","displayToPublicDate":"2013-01-01T14:43:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1337,"text":"Copeia","active":true,"publicationSubtype":{"id":10}},"title":"Movement and longevity of imperiled Okaloosa Darters (Etheostoma okaloosae)","docAbstract":"Movement and longevity studies inform management and conservation plans for imperiled organisms. We used a mark–recapture study to reveal information about these key biological characteristics for imperiled Okaloosa Darters (Etheostoma okaloosae). Okaloosa Darters were captured from 20 m reaches at six separate streams, marked with VIE on the left or right dorsum according to the side of the stream from which they were captured, and released on the same side where they were captured. Okaloosa Darters were recounted (but not recaptured) at 24 h and one month, and then recaptured once per year for the following eight years. During the final recapture year, we measured standard length of all Okaloosa Darters and constructed length frequency distributions to identify distinct cohorts. We found that significant numbers of Okaloosa Darters remained within their 20 m reaches after 24 h (31%), one month (45%), and one year (22%) and rarely crossed open, sandy stream channels from one side to the other. Our recapture data and length frequency distributions indicate that Okaloosa Darters live longer than the 2–3 years suggested by previous authors. One of our recaptured fish was at least eight years old, making Okaloosa Darters the most long-lived etheostomine.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Copeia","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Society of Ichthyologists and Herpetologists","doi":"10.1643/CE-12-175","usgsCitation":"Holt, D.E., Jelks, H.L., and Jordan, F., 2013, Movement and longevity of imperiled Okaloosa Darters (Etheostoma okaloosae): Copeia, v. 2013, no. 4, p. 653-659, https://doi.org/10.1643/CE-12-175.","productDescription":"7 p.","startPage":"653","endPage":"659","numberOfPages":"7","ipdsId":"IP-042687","costCenters":[],"links":[{"id":281341,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":281338,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1643/CE-12-175"}],"volume":"2013","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd684fe4b0b29085101f15","contributors":{"authors":[{"text":"Holt, Daniel E.","contributorId":102381,"corporation":false,"usgs":true,"family":"Holt","given":"Daniel","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":488878,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jelks, Howard L. 0000-0002-0672-6297 hjelks@usgs.gov","orcid":"https://orcid.org/0000-0002-0672-6297","contributorId":2962,"corporation":false,"usgs":true,"family":"Jelks","given":"Howard","email":"hjelks@usgs.gov","middleInitial":"L.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":488877,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jordan, Frank","contributorId":103405,"corporation":false,"usgs":true,"family":"Jordan","given":"Frank","affiliations":[],"preferred":false,"id":488879,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70111240,"text":"70111240 - 2013 - Of travertine and time: otolith chemistry and microstructure detect provenance and demography of endangered humpback chub in Grand Canyon, USA","interactions":[],"lastModifiedDate":"2014-06-03T13:55:04","indexId":"70111240","displayToPublicDate":"2013-01-01T13:49:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Of travertine and time: otolith chemistry and microstructure detect provenance and demography of endangered humpback chub in Grand Canyon, USA","docAbstract":"We developed a geochemical atlas of the Colorado River in Grand Canyon and in its tributary, the Little Colorado River, and used it to identify provenance and habitat use by Federally Endangered humpback chub, Gila cypha.  Carbon stable isotope ratios (δ<sup>13</sup>C) discriminate best between the two rivers, but fine scale analysis in otoliths requires rare, expensive instrumentation. We therefore correlated other tracers (SrSr, Ba, and Se in ratio to Ca) to δ<sup>13</sup>C that are easier to quantify in otoliths with other microchemical techniques. Although the Little Colorado River’s water chemistry varies with major storm events, at base flow or near base flow (conditions occurring 84% of the time in our study) its chemistry differs sufficiently from the mainstem to discriminate one from the other. Additionally, when fish egress from the natal Little Colorado River to the mainstem, they encounter cold water which causes the otolith daily growth increments to decrease in size markedly. Combining otolith growth increment analysis and microchemistry permitted estimation of size and age at first egress; size at first birthday was also estimated. Emigrants < 1 year old averaged 51.2 ± 4.4 (SE) days and 35.5 ± 3.6 mm at egress; older fish that had recruited to the population averaged 100 ± 7.8 days old and 51.0 ± 2.2 mm at egress, suggesting that larger, older emigrants recruit better. Back-calculated size at age 1 was unimodal and large (78.2 ± 3.3 mm) in Little Colorado caught fish but was bimodally distributed in Colorado mainstem caught fish (49.9 ± 3.6 and 79 ± 4.9 mm) suggesting that humpback chub can also rear in the mainstem. The study demonstrates the coupled usage of the two rivers by this fish and highlights the need to consider both rivers when making management decisions for humpback chub recovery.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0084235","usgsCitation":"Limburg, K.E., Hayden, T.A., Pine, W., Yard, M., Kozdon, R., and Valley, J.W., 2013, Of travertine and time: otolith chemistry and microstructure detect provenance and demography of endangered humpback chub in Grand Canyon, USA: PLoS ONE, v. 8, no. 12, 18 p., https://doi.org/10.1371/journal.pone.0084235.","productDescription":"18 p.","numberOfPages":"18","onlineOnly":"Y","ipdsId":"IP-046330","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":473990,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0084235","text":"Publisher Index Page"},{"id":288033,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":288032,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0084235"}],"country":"United States","state":"Arizona","otherGeospatial":"Grand Canyon;Colorado River;Little Colorado River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.833333,36.1 ], [ -111.833333,36.2 ], [ -111.7,36.2 ], [ -111.7,36.1 ], [ -111.833333,36.1 ] ] ] } } ] }","volume":"8","issue":"12","noUsgsAuthors":false,"publicationDate":"2013-12-16","publicationStatus":"PW","scienceBaseUri":"538eee94e4b0d497d4968517","contributors":{"authors":[{"text":"Limburg, Karin E.","contributorId":16325,"corporation":false,"usgs":true,"family":"Limburg","given":"Karin","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":494306,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hayden, Todd A. 0000-0002-0451-0425 thayden@usgs.gov","orcid":"https://orcid.org/0000-0002-0451-0425","contributorId":5987,"corporation":false,"usgs":true,"family":"Hayden","given":"Todd","email":"thayden@usgs.gov","middleInitial":"A.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":494303,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pine, William E. III","contributorId":56759,"corporation":false,"usgs":true,"family":"Pine","given":"William E.","suffix":"III","affiliations":[],"preferred":false,"id":494308,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yard, Michael D. 0000-0002-6580-6027","orcid":"https://orcid.org/0000-0002-6580-6027","contributorId":8577,"corporation":false,"usgs":true,"family":"Yard","given":"Michael D.","affiliations":[],"preferred":false,"id":494304,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kozdon, Reinhard","contributorId":14740,"corporation":false,"usgs":true,"family":"Kozdon","given":"Reinhard","affiliations":[],"preferred":false,"id":494305,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Valley, John W.","contributorId":52895,"corporation":false,"usgs":false,"family":"Valley","given":"John","email":"","middleInitial":"W.","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":494307,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70111241,"text":"70111241 - 2013 - The geomorphic effectiveness of a large flood on the Rio Grande in the Big Bend region: insights on geomorphic controls and post-flood geomorphic response","interactions":[],"lastModifiedDate":"2022-01-21T12:16:05.402171","indexId":"70111241","displayToPublicDate":"2013-01-01T13:43:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"The geomorphic effectiveness of a large flood on the Rio Grande in the Big Bend region: insights on geomorphic controls and post-flood geomorphic response","docAbstract":"<p>Since the 1940s, the Rio Grande in the Big Bend region has undergone long periods of channel narrowing, which have been occasionally interrupted by rare, large floods that widen the channel (termed a channel reset). The most recent channel reset occurred in 2008 following a 17-year period of extremely low stream flow and rapid channel narrowing. Flooding was caused by precipitation associated with the remnants of tropical depression Lowell in the Rio Conchos watershed, the largest tributary to the Rio Grande. Floodwaters approached 1500 m3/s (between a 13 and 15 year recurrence interval) and breached levees, inundated communities, and flooded the alluvial valley of the Rio Grande; the wetted width exceeding 2.5 km in some locations. The 2008 flood had the 7th largest magnitude of record, however, conveyed the largest volume of water than any other flood. Because of the narrow pre-flood channel conditions, record flood stages occurred.</p><p>We used pre- and post-flood aerial photographs, channel and floodplain surveys, and 1-dimensional hydraulic models to quantify the magnitude of channel change, investigate the controls of flood-induced geomorphic changes, and measure the post-flood response of the widened channel. These analyses show that geomorphic changes included channel widening, meander migration, avulsions, extensive bar formation, and vertical floodplain accretion. Reach-averaged channel widening between 26 and 52% occurred, but in some localities exceeded 500%. The degree and style of channel response was related, but not limited to, three factors: 1) bed-load supply and transport, 2) pre-flood channel plan form, and 3) rapid declines in specific stream power downstream of constrictions and areas of high channel bed slope. The post-flood channel response has consisted of channel contraction through the aggradation of the channel bed and the formation of fine-grained benches inset within the widened channel margins. The most significant post-flood geomorphic changes have occurred at and downstream from ephemeral tributaries that contribute large volumes of sediment.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geomorphology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.geomorph.2013.06.020","usgsCitation":"Dean, D.J., and Schmidt, J.C., 2013, The geomorphic effectiveness of a large flood on the Rio Grande in the Big Bend region: insights on geomorphic controls and post-flood geomorphic response: Geomorphology, v. 201, p. 183-198, https://doi.org/10.1016/j.geomorph.2013.06.020.","productDescription":"16 p.","startPage":"183","endPage":"198","numberOfPages":"16","ipdsId":"IP-041892","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":288031,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":288030,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.geomorph.2013.06.020"}],"country":"Mexico;United States","state":"Texas","otherGeospatial":"Big Bend National Park;Rio Grande","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -105.0951,28.9719 ], [ -105.0951,30.1996 ], [ -102.1204,30.1996 ], [ -102.1204,28.9719 ], [ -105.0951,28.9719 ] ] ] } } ] }","volume":"201","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"538eee9fe4b0d497d4968550","contributors":{"authors":[{"text":"Dean, David J. 0000-0003-0203-088X djdean@usgs.gov","orcid":"https://orcid.org/0000-0003-0203-088X","contributorId":131047,"corporation":false,"usgs":true,"family":"Dean","given":"David","email":"djdean@usgs.gov","middleInitial":"J.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":494310,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schmidt, John C. 0000-0002-2988-3869 jcschmidt@usgs.gov","orcid":"https://orcid.org/0000-0002-2988-3869","contributorId":1983,"corporation":false,"usgs":true,"family":"Schmidt","given":"John","email":"jcschmidt@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":494309,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70046819,"text":"70046819 - 2013 - Sediment Transport from Urban, Urbanizing, and Rural Areas in Johnson County, Kansas, 2006-08","interactions":[],"lastModifiedDate":"2014-07-02T13:58:37","indexId":"70046819","displayToPublicDate":"2013-01-01T13:38:00","publicationYear":"2013","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":12,"text":"Conference publication"},"title":"Sediment Transport from Urban, Urbanizing, and Rural Areas in Johnson County, Kansas, 2006-08","docAbstract":"<p>1. Studies have commonly illustrated that erosion and sediment transport from construction sites is extensive, typically 10-100X that of background levels.</p>\n<br/>\n<p>2. However, to our knowledge, the affects of construction and urbanization have rarely been assessed (1) since erosion and sediment controls have been required at construction sites, and (2) at watershed (5-65 mi2) scales.  This is primarily because of difficulty characterizing sediment loads in small basins.  Studies (such as that illustrated from Timble, 1999) illustrated how large changes in surface erosion may not result in substantive changes in downstream sediment loads (b/c of sediment deposition on land-surfaces, floodplains, and in stream channels).</p>\n<br/>\n<p>3. Improved technology (in-situ turbidity) sensors provide a good application b/c they provide an independent surrogate of sediment concentration that is more accurate at estimating sediment concentrations and loads that instantaneous streamflow.</p>","conferenceTitle":"Seventh National Monitoring Conference: Monitoring From the Summit to the Sea","conferenceDate":"2010-04-24T00:00:00","conferenceLocation":"Denver, CO","language":"English","publisher":"U.S. Geological Survey","collaboration":"Prepared in cooperation with the Johnson County Stormwater Management Program","usgsCitation":"Lee, C., 2013, Sediment Transport from Urban, Urbanizing, and Rural Areas in Johnson County, Kansas, 2006-08, 22 p.","productDescription":"22 p.","numberOfPages":"22","onlineOnly":"Y","ipdsId":"IP-016000","costCenters":[],"links":[{"id":289393,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":289392,"type":{"id":15,"text":"Index Page"},"url":"https://ks.water.usgs.gov/mill-creek-sediment"}],"country":"United States","state":"Kansas","county":"Johnson County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -95.056497,38.738078 ], [ -95.056497,39.061388 ], [ -94.607382,39.061388 ], [ -94.607382,38.738078 ], [ -95.056497,38.738078 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53b7b20ce4b0388651d918ce","contributors":{"authors":[{"text":"Lee, Casey J. 0000-0002-5753-2038","orcid":"https://orcid.org/0000-0002-5753-2038","contributorId":31062,"corporation":false,"usgs":true,"family":"Lee","given":"Casey J.","affiliations":[],"preferred":false,"id":480361,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
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