{"pageNumber":"942","pageRowStart":"23525","pageSize":"25","recordCount":184617,"records":[{"id":70191559,"text":"70191559 - 2017 - Streamflow alteration and habitat ramifications for a threatened fish species in the Central United States","interactions":[],"lastModifiedDate":"2017-10-17T10:52:48","indexId":"70191559","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Streamflow alteration and habitat ramifications for a threatened fish species in the Central United States","docAbstract":"<p><span>In the Central United States, the Arkansas darter (</span><i>Etheostoma cragini</i><span>) is listed as a threatened fish species by the State of Kansas. Survival of the darter is threatened by loss of habitat caused by changing streamflow conditions, in particular flow depletion. Future management of darter populations and habitats requires an understanding of streamflow conditions and how those conditions may have changed over time in response to natural and anthropogenic factors. In Kansas, streamflow alteration was assessed at 9 U.S. Geological Survey streamgages in 6 priority basins with no pronounced long-term trends in precipitation. The assessment was based on a comparison of observed (O) and predicted expected (E) reference conditions for 29 flow metrics. The O/E results indicated a likely or possible diminished flow condition in 2 basins; the primary cause of which is groundwater-level declines resulting from groundwater pumping for irrigated agriculture. In these 2 basins, habitat characteristics adversely affected by flow depletion may include stream connectivity, pools, and water temperature. The other 4 basins were minimally affected, or unaffected, by flow depletion and therefore may provide the best opportunity for preservation of darter habitat. Through the O/E analysis, anthropogenic streamflow alteration was quantified and the results will enable better-informed decisions pertaining to the future management of darters in Kansas.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/rra.3148","usgsCitation":"Juracek, K.E., Eng, K., Carlisle, D.M., and Wolock, D.M., 2017, Streamflow alteration and habitat ramifications for a threatened fish species in the Central United States: River Research and Applications, v. 33, no. 7, p. 993-1003, https://doi.org/10.1002/rra.3148.","productDescription":"11 p.","startPage":"993","endPage":"1003","ipdsId":"IP-079134","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":346677,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Kansas","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -102,\n              37\n            ],\n            [\n              -97,\n              37\n            ],\n            [\n              -97,\n              38.5\n            ],\n            [\n              -102,\n              38.5\n            ],\n            [\n              -102,\n              37\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"33","issue":"7","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-06","publicationStatus":"PW","scienceBaseUri":"59e71690e4b05fe04cd3318c","contributors":{"authors":[{"text":"Juracek, Kyle E. 0000-0002-2102-8980 kjuracek@usgs.gov","orcid":"https://orcid.org/0000-0002-2102-8980","contributorId":2022,"corporation":false,"usgs":true,"family":"Juracek","given":"Kyle","email":"kjuracek@usgs.gov","middleInitial":"E.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":712763,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eng, Ken 0000-0001-6838-5849 keng@usgs.gov","orcid":"https://orcid.org/0000-0001-6838-5849","contributorId":3580,"corporation":false,"usgs":true,"family":"Eng","given":"Ken","email":"keng@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":712764,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carlisle, Daren M. 0000-0002-7367-348X dcarlisle@usgs.gov","orcid":"https://orcid.org/0000-0002-7367-348X","contributorId":513,"corporation":false,"usgs":true,"family":"Carlisle","given":"Daren","email":"dcarlisle@usgs.gov","middleInitial":"M.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":712765,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wolock, David M. 0000-0002-6209-938X dwolock@usgs.gov","orcid":"https://orcid.org/0000-0002-6209-938X","contributorId":540,"corporation":false,"usgs":true,"family":"Wolock","given":"David","email":"dwolock@usgs.gov","middleInitial":"M.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":712766,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70191511,"text":"70191511 - 2017 - Anura—Frogs","interactions":[],"lastModifiedDate":"2017-10-16T14:38:26","indexId":"70191511","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Anura—Frogs","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Scientific and Standard English names of amphibians and reptiles of North America north of Mexico, with comments regarding confidence in our understanding (8th)","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Society for the Study of Amphibians and Reptiles","usgsCitation":"Frost, D.R., Moriarty Lemmon, E., McDiarmid, R.W., and Mendelson III, J., 2017, Anura—Frogs, chap. <i>of</i> Scientific and Standard English names of amphibians and reptiles of North America north of Mexico, with comments regarding confidence in our understanding (8th), p. 6-24.","productDescription":"19 p.","startPage":"6","endPage":"24","ipdsId":"IP-090480","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":346633,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":346617,"type":{"id":15,"text":"Index Page"},"url":"https://ssarherps.org/publications/north-american-checklist/"}],"publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59e5c51ce4b05fe04cd1c9da","contributors":{"authors":[{"text":"Frost, Darrel R.","contributorId":197091,"corporation":false,"usgs":false,"family":"Frost","given":"Darrel","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":712536,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moriarty Lemmon, Emily","contributorId":197092,"corporation":false,"usgs":false,"family":"Moriarty Lemmon","given":"Emily","email":"","affiliations":[],"preferred":false,"id":712537,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McDiarmid, Roy W. 0000-0002-7649-1796 rmcdiarmid@usgs.gov","orcid":"https://orcid.org/0000-0002-7649-1796","contributorId":3603,"corporation":false,"usgs":true,"family":"McDiarmid","given":"Roy","email":"rmcdiarmid@usgs.gov","middleInitial":"W.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":712535,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mendelson III, Joseph R.","contributorId":197093,"corporation":false,"usgs":false,"family":"Mendelson III","given":"Joseph R.","affiliations":[],"preferred":false,"id":712538,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70191677,"text":"70191677 - 2017 - Seasonality of change: Summer warming rates do not fully represent effects of climate change on lake temperatures","interactions":[],"lastModifiedDate":"2017-10-17T16:35:32","indexId":"70191677","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2620,"text":"Limnology and Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Seasonality of change: Summer warming rates do not fully represent effects of climate change on lake temperatures","docAbstract":"<p><span>Responses in lake temperatures to climate warming have primarily been characterized using seasonal metrics of surface-water temperatures such as summertime or stratified period average temperatures. However, climate warming may not affect water temperatures equally across seasons or depths. We analyzed a long-term dataset (1981–2015) of biweekly water temperature data in six temperate lakes in Wisconsin, U.S.A. to understand (1) variability in monthly rates of surface- and deep-water warming, (2) how those rates compared to summertime average trends, and (3) if monthly heterogeneity in water temperature trends can be predicted by heterogeneity in air temperature trends. Monthly surface-water temperature warming rates varied across the open-water season, ranging from 0.013 in August to 0.073°C yr</span><sup>−1</sup><span><span>&nbsp;</span>in September (standard deviation [SD]: 0.025°C yr</span><sup>−1</sup><span>). Deep-water trends during summer varied less among months (SD: 0.006°C yr</span><sup>−1</sup><span>), but varied broadly among lakes (–0.056°C yr</span><sup>−1</sup><span><span>&nbsp;</span>to 0.035°C yr</span><sup>−1</sup><span>, SD: 0.034°C yr</span><sup>−1</sup><span>). Trends in monthly surface-water temperatures were well correlated with air temperature trends, suggesting monthly air temperature trends, for which data exist at broad scales, may be a proxy for seasonal patterns in surface-water temperature trends during the open water season in lakes similar to those studied here. Seasonally variable warming has broad implications for how ecological processes respond to climate change, because phenological events such as fish spawning and phytoplankton succession respond to specific, seasonal temperature cues.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/lno.10557","usgsCitation":"Winslow, L., Read, J.S., Hansen, G.J., Rose, K., and Robertson, D.M., 2017, Seasonality of change: Summer warming rates do not fully represent effects of climate change on lake temperatures: Limnology and Oceanography, v. 62, no. 5, p. 2168-2178, https://doi.org/10.1002/lno.10557.","productDescription":"11 p.","startPage":"2168","endPage":"2178","ipdsId":"IP-074340","costCenters":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true}],"links":[{"id":469470,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/lno.10557","text":"Publisher Index Page"},{"id":346756,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","volume":"62","issue":"5","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-26","publicationStatus":"PW","scienceBaseUri":"59e71690e4b05fe04cd33188","contributors":{"authors":[{"text":"Winslow, Luke 0000-0002-8602-5510 lwinslow@usgs.gov","orcid":"https://orcid.org/0000-0002-8602-5510","contributorId":168947,"corporation":false,"usgs":true,"family":"Winslow","given":"Luke","email":"lwinslow@usgs.gov","affiliations":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true},{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":713034,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Read, Jordan S. 0000-0002-3888-6631 jread@usgs.gov","orcid":"https://orcid.org/0000-0002-3888-6631","contributorId":4453,"corporation":false,"usgs":true,"family":"Read","given":"Jordan","email":"jread@usgs.gov","middleInitial":"S.","affiliations":[{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true},{"id":5054,"text":"Office of Water Information","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":713035,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hansen, Gretchen J. A.","contributorId":131099,"corporation":false,"usgs":false,"family":"Hansen","given":"Gretchen","email":"","middleInitial":"J. A.","affiliations":[{"id":7242,"text":"Wisconsin Department of Natural Resources, Madison, WI, USA","active":true,"usgs":false}],"preferred":false,"id":713036,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rose, Kevin C.","contributorId":64580,"corporation":false,"usgs":true,"family":"Rose","given":"Kevin C.","affiliations":[],"preferred":false,"id":713037,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Robertson, Dale M. 0000-0001-6799-0596 dzrobert@usgs.gov","orcid":"https://orcid.org/0000-0001-6799-0596","contributorId":150760,"corporation":false,"usgs":true,"family":"Robertson","given":"Dale","email":"dzrobert@usgs.gov","middleInitial":"M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":713038,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70191500,"text":"70191500 - 2017 - 238U–230Th–226Ra–210Pb–210Po disequilibria constraints on magma generation, ascent, and degassing during the ongoing eruption of Kīlauea","interactions":[],"lastModifiedDate":"2017-10-16T09:57:02","indexId":"70191500","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2420,"text":"Journal of Petrology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"<sup>238</sup>U–<sup>230</sup>Th–<sup>226</sup>Ra–<sup>210</sup>Pb–<sup>210</sup>Po disequilibria constraints on magma generation, ascent, and degassing during the ongoing eruption of Kīlauea","title":"238U–230Th–226Ra–210Pb–210Po disequilibria constraints on magma generation, ascent, and degassing during the ongoing eruption of Kīlauea","docAbstract":"<p><span>The timescales of magma genesis, ascent, storage and degassing at Kīlauea volcano, Hawai‘i are addressed by measuring&nbsp;</span><sup>238</sup><span>U-series radionuclide abundances in lava and tephra erupted between 1982 and 2008. Most analyzed samples represent lavas erupted by steady effusion from Pu‘u ‘Ō‘ō and Kūpahianaha from 1983 to 2008. Also included are samples erupted at the summit in April 1982 and March 2008, along the East Rift Zone at the onset of the ongoing eruption in January 1983, and during vent shifting episodes 54 and 56, at Nāpau crater in January 1997, and Kane Nui O Hamo in June 2007. In general, samples have small (∼4%) excesses of (</span><sup>230</sup><span>Th) over (</span><sup>238</sup><span>U) and ∼3 to ∼17% excesses of (</span><sup>226</sup><span>Ra) over (</span><sup>230</sup><span>Th), consistent with melting of a garnet peridotite source at melting rates between 1 × 10</span><sup>–3</sup><span><span>&nbsp;</span>and 5 × 10</span><sup>–3 </sup><span>kg m</span><sup>–3</sup><span><span>&nbsp;</span>a</span><sup>–1</sup><span>, and melting region porosity between ∼2 and ∼10%, in agreement with previous studies of the ongoing eruption and historical eruptions. A small subset of samples has near-equilibrium (</span><sup>230</sup><span>Th/</span><sup>238</sup><span>U) values, and thus were generated at higher melting rates. Based on U–Th–Ra disequilibria and Th isotopic data from this and earlier studies, melting processes and sources have been relatively stable over at least the past two centuries or more, including during the ongoing unusually long (&gt;30 years) and voluminous (4 km</span><sup>3</sup><span>) eruption. Lavas recently erupted from the East Rift Zone have average initial (</span><sup>210</sup><span>Pb/</span><sup>226</sup><span>Ra) values of 0·80 ± 0·11 (1σ), which we interpret to be the result of partitioning of<span>&nbsp;</span></span><sup>222</sup><span>Rn into a persistently generated CO</span><sub>2</sub><span>-rich gas phase over a minimum of 8 years. This (</span><sup>210</sup><span>Pb) deficit implies an average magma ascent rate of ≤3·7 km a</span><sup>–1</sup><span><span>&nbsp;</span>from ∼30 km depth to the surface. Spatter and lava associated with vent-opening episodes erupt with variable (</span><sup>210</sup><span>Pb) deficits ranging from 0·7 to near-equilibrium values in some samples. The samples with near-equilibrium (</span><sup>210</sup><span>Pb/</span><sup>226</sup><span>Ra) are typically more differentiated, suggesting decadal timescales of magma storage in shallow conduits or reservoirs that were not degassing. Lava and spatter samples erupted in the East Rift Zone and at the summit had (</span><sup>210</sup><span>Po) ∼0 at the time of eruption, which results from efficient partitioning of Po into the CO</span><sub>2</sub><span>- and SO</span><sub>2</sub><span>-rich gas phases during and prior to eruption. Summit ash and Pele’s hair samples from 2008 differ from lava and lapilli samples in that they have elevated initial (</span><sup>210</sup><span>Po), (</span><sup>210</sup><span>Pb/</span><sup>226</sup><span>Ra), and Pb concentrations because of Po condensation on tephra particles, and incorporation of fumarolic Po and Pb into erupted tephra fragments during quenching.</span></p>","language":"English","publisher":"Oxford University Press","doi":"10.1093/petrology/egx051","usgsCitation":"Girard, G., Reagan, M.K., Sims, K., Thornber, C., Waters, C.L., and Phillips, E.H., 2017, 238U–230Th–226Ra–210Pb–210Po disequilibria constraints on magma generation, ascent, and degassing during the ongoing eruption of Kīlauea: Journal of Petrology, v. 58, no. 6, p. 1199-1226, https://doi.org/10.1093/petrology/egx051.","productDescription":"28 p.","startPage":"1199","endPage":"1226","ipdsId":"IP-073117","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":490047,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/petrology/egx051","text":"Publisher Index Page"},{"id":346622,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kīlauea Volcano","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -155.34530639648438,\n              19.229473413975263\n            ],\n            [\n              -155.0658416748047,\n              19.229473413975263\n            ],\n            [\n              -155.0658416748047,\n              19.452996386512584\n            ],\n            [\n              -155.34530639648438,\n              19.452996386512584\n            ],\n            [\n              -155.34530639648438,\n              19.229473413975263\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"58","issue":"6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-16","publicationStatus":"PW","scienceBaseUri":"59e5c51ce4b05fe04cd1c9dc","contributors":{"authors":[{"text":"Girard, Guillaume","contributorId":197084,"corporation":false,"usgs":false,"family":"Girard","given":"Guillaume","email":"","affiliations":[],"preferred":false,"id":712516,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reagan, Mark K.","contributorId":54496,"corporation":false,"usgs":true,"family":"Reagan","given":"Mark","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":712517,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sims, Kenneth W. W.","contributorId":197086,"corporation":false,"usgs":false,"family":"Sims","given":"Kenneth W. W.","affiliations":[],"preferred":false,"id":712518,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thornber, Carl 0000-0002-6382-4408 cthornber@usgs.gov","orcid":"https://orcid.org/0000-0002-6382-4408","contributorId":167396,"corporation":false,"usgs":true,"family":"Thornber","given":"Carl","email":"cthornber@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":712515,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Waters, Christopher L.","contributorId":197087,"corporation":false,"usgs":false,"family":"Waters","given":"Christopher","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":712519,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Phillips, Erin H.","contributorId":184202,"corporation":false,"usgs":false,"family":"Phillips","given":"Erin","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":712520,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70196730,"text":"70196730 - 2017 - Using long-term data to predict fish abundance: the case of Prochilodus lineatus (Characiformes, Prochilodontidae) in the intensely regulated upper Paraná River","interactions":[],"lastModifiedDate":"2018-04-27T13:48:58","indexId":"70196730","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2852,"text":"Neotropical Ichthyology","active":true,"publicationSubtype":{"id":10}},"title":"Using long-term data to predict fish abundance: the case of Prochilodus lineatus (Characiformes, Prochilodontidae) in the intensely regulated upper Paraná River","docAbstract":"<p><span>Populations show spatial-temporal fluctuations in abundance, partly due to random processes and partly due to self-regulatory processes. We evaluated the effects of various external factors on the population numerical abundance of curimba&nbsp;</span><i>Prochilodus lineatus</i><span><span>&nbsp;</span>in the upper Paraná River floodplain, Brazil, over a 19-year period. Panel data analysis was applied to examine the structure of temporal and spatial abundance while controlling auto-regressive processes and spatial non-homogeneity variances that often obscure relationships. As sources of population variation, we considered predation, competition, selected abiotic variables, construction of a dam upstream of the study area, water level and flood intensity during the spawning period. We found that biological interactions (predation and competition) were not significantly related to variations in curimba abundance; specific conductance was a space indicator of abundance, apparently linked to the biology of the species; intensity of floods determined inter-annual variation in abundances; Porto Primavera Dam negatively impacted the abundances at sites in the floodplain directly affected by discharges from the dam. Panel data analysis was a powerful tool that identified the need for intense flooding to maintain high abundances of curimba in the upper Paraná River. We believe our results apply to other species with similar life strategy.</span></p>","language":"English","publisher":"SciELO","doi":"10.1590/1982-0224-20160029","usgsCitation":"Piana, P.A., Cardoso, B.F., Dias, J., Gomes, L., Agostinho, A.A., and Miranda, L.E., 2017, Using long-term data to predict fish abundance: the case of Prochilodus lineatus (Characiformes, Prochilodontidae) in the intensely regulated upper Paraná River: Neotropical Ichthyology, v. 15, no. 3, p. 1-12, https://doi.org/10.1590/1982-0224-20160029.","productDescription":"e160029; 12 p.","startPage":"1","endPage":"12","ipdsId":"IP-075860","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":469473,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1590/1982-0224-20160029","text":"Publisher Index Page"},{"id":353778,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Brazil","otherGeospatial":"Paraná River","volume":"15","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee7dfe4b0da30c1bfc391","contributors":{"authors":[{"text":"Piana, Pitagoras A.","contributorId":204497,"corporation":false,"usgs":false,"family":"Piana","given":"Pitagoras","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":734175,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cardoso, Barbara F.","contributorId":204498,"corporation":false,"usgs":false,"family":"Cardoso","given":"Barbara","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":734176,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dias, Joilson","contributorId":204499,"corporation":false,"usgs":false,"family":"Dias","given":"Joilson","email":"","affiliations":[],"preferred":false,"id":734177,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gomes, Luiz C.","contributorId":204500,"corporation":false,"usgs":false,"family":"Gomes","given":"Luiz C.","affiliations":[],"preferred":false,"id":734178,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Agostinho, Angelo A.","contributorId":204501,"corporation":false,"usgs":false,"family":"Agostinho","given":"Angelo","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":734179,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Miranda, Leandro E. 0000-0002-2138-7924 smiranda@usgs.gov","orcid":"https://orcid.org/0000-0002-2138-7924","contributorId":531,"corporation":false,"usgs":true,"family":"Miranda","given":"Leandro","email":"smiranda@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":734150,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70193042,"text":"70193042 - 2017 - Spatially dependent responses of a large-river fish assemblage to bank stabilization and side channels","interactions":[],"lastModifiedDate":"2017-11-06T16:36:31","indexId":"70193042","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Spatially dependent responses of a large-river fish assemblage to bank stabilization and side channels","docAbstract":"<p><span>The alteration of rivers by anthropogenic bank stabilization to prevent the erosion of economically valuable lands and structures has become commonplace. However, such alteration has ambiguous consequences for fish assemblages, especially in large rivers. Because most large, temperate rivers have impoundments, it can be difficult to separate the influences of bank stabilization structures from those of main-stem impoundments, especially because both stabilization structures and impoundments can cause side-channel loss. Few large rivers are free flowing and retain extensive side channels, but the Yellowstone River (our study area) is one such river. We hypothesized that in this river (1) bank stabilization has changed fish assemblage structure by altering habitats, (2) side-channel availability has influenced fish assemblage structure by providing habitat heterogeneity, and (3) the influences of bank stabilization and side channels on fish assemblages were spatially scale dependent. We developed a spatially explicit framework to test these hypotheses. Fish assemblage structure varied with the extent of bank stabilization and the availability of side channels; however, not all assemblage subsets were influenced. Nevertheless, bank stabilization and side channels had different and sometimes opposite influences on the fish assemblage. The effects of side channels on fish were more consistent and widespread than those of bank stabilization; the catches of more fishes were positively correlated with side-channel availability than with the extent of bank stabilization. The influences of bank stabilization and side channels on the relative abundances of fish also varied, depending on species and river bend geomorphology. The variation in river morphology probably contributed to the assemblage differences between stabilized and reference river bends; stabilized alluvial pools were deeper than reference alluvial pools, but the depths of stabilized and reference bluff pools did not differ. The strengths of the relationships among fish assemblages, bank stabilization, and side channels were spatially scale dependent; optimum spatial scales ranged from less than 200 m to 3,200 m up- and downstream, suggesting that bank stabilization and side channels influenced fish assemblages across multiple spatial scales.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2017.1290682","usgsCitation":"Reinhold, A.M., Bramblett, R.G., Zale, A.V., Poole, G., and Roberts, D.W., 2017, Spatially dependent responses of a large-river fish assemblage to bank stabilization and side channels: Transactions of the American Fisheries Society, v. 146, no. 5, p. 967-982, https://doi.org/10.1080/00028487.2017.1290682.","productDescription":"16 p.","startPage":"967","endPage":"982","ipdsId":"IP-067237","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":488007,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://figshare.com/articles/dataset/Spatially_Dependent_Responses_of_a_Large-River_Fish_Assemblage_to_Bank_Stabilization_and_Side_Channels/5263243","text":"External Repository"},{"id":348309,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Yellowstone River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.0498046875,\n              45.01141864227728\n            ],\n            [\n              -104.0185546875,\n              45.01141864227728\n            ],\n            [\n              -104.0185546875,\n              47.83528342275264\n            ],\n            [\n              -111.0498046875,\n              47.83528342275264\n            ],\n            [\n              -111.0498046875,\n              45.01141864227728\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"146","issue":"5","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-31","publicationStatus":"PW","scienceBaseUri":"5a07e872e4b09af898c8cb6a","contributors":{"authors":[{"text":"Reinhold, Ann Marie","contributorId":200043,"corporation":false,"usgs":false,"family":"Reinhold","given":"Ann","email":"","middleInitial":"Marie","affiliations":[],"preferred":false,"id":720777,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bramblett, Robert G.","contributorId":169857,"corporation":false,"usgs":false,"family":"Bramblett","given":"Robert","email":"","middleInitial":"G.","affiliations":[{"id":5098,"text":"Department of Ecology, Montana State University","active":true,"usgs":false}],"preferred":false,"id":720778,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zale, Alexander V. 0000-0003-1703-885X zale@usgs.gov","orcid":"https://orcid.org/0000-0003-1703-885X","contributorId":3010,"corporation":false,"usgs":true,"family":"Zale","given":"Alexander","email":"zale@usgs.gov","middleInitial":"V.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":717735,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Poole, Geoffrey C.","contributorId":25540,"corporation":false,"usgs":true,"family":"Poole","given":"Geoffrey C.","affiliations":[],"preferred":false,"id":720779,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Roberts, David W.","contributorId":56235,"corporation":false,"usgs":true,"family":"Roberts","given":"David","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":720780,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70193008,"text":"70193008 - 2017 - Spatial and temporal patterns in golden eagle diets in the western United States, with implications for conservation planning","interactions":[],"lastModifiedDate":"2017-11-22T16:42:33","indexId":"70193008","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2442,"text":"Journal of Raptor Research","active":true,"publicationSubtype":{"id":10}},"title":"Spatial and temporal patterns in golden eagle diets in the western United States, with implications for conservation planning","docAbstract":"<p><span>Detailed information on diets and predatory ecology of Golden Eagles (</span><i>Aquila chrysaetos</i><span>) is essential to prioritize prey species management and to develop landscape-specific conservation strategies, including mitigation of the effects of energy development across the western United States. We compiled published and unpublished data on Golden Eagle diets to (1) summarize available information on Golden Eagle diets in the western U.S., (2) compare diets among biogeographic provinces, and (3) discuss implications for conservation planning and future research. We analyzed 35 studies conducted during the breeding season at 45 locations from 1940–2015. Golden Eagle diet differed among western ecosystems. Lower dietary breadth was associated with desert and shrub-steppe ecosystems and higher breadth with mountain ranges and the Columbia Plateau. Correlations suggest that percentage of leporids in the diet is the factor driving overall diversity of prey and percentage of other prey groups in the diet of Golden Eagles. Leporids were the primary prey of breeding Golden Eagles in 78% of study areas, with sciurids reported as primary prey in 18% of study areas. During the nonbreeding season, Golden Eagles were most frequently recorded feeding on leporids and carrion. Golden Eagles can be described as both generalist and opportunistic predators; they can feed on a wide range of prey species but most frequently feed on abundant medium-sized prey species in a given habitat. Spatial variations in Golden Eagle diet likely reflect regional differences in prey community, whereas temporal trends likely reflect responses to long-term change in prey populations. Evidence suggests dietary shifts from traditional (leporid) prey can have adverse effects on Golden Eagle reproductive rates. Land management practices that support or restore shrub-steppe ecosystem diversity should benefit Golden Eagles. More information is needed on nonbreeding-season diet to determine what food resources, such as carrion, are important for overwinter survival.</span></p>","language":"English","publisher":"The Raptor Research Foundation","doi":"10.3356/JRR-16-38.1","usgsCitation":"Bedrosian, G., Watson, J.W., Steenhof, K., Kochert, M.N., Preston, C.R., Woodbridge, B., Williams, G.E., Keller, K.R., and Crandall, R.H., 2017, Spatial and temporal patterns in golden eagle diets in the western United States, with implications for conservation planning: Journal of Raptor Research, v. 51, no. 3, p. 347-367, https://doi.org/10.3356/JRR-16-38.1.","productDescription":"21 p.","startPage":"347","endPage":"367","ipdsId":"IP-081561","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":482060,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3356/jrr-16-38.1","text":"Publisher Index Page"},{"id":348044,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -125.1123046875,\n              29.19053283229458\n            ],\n            [\n              -102.12890625,\n              29.19053283229458\n            ],\n            [\n              -102.12890625,\n              49.1242192485914\n            ],\n            [\n              -125.1123046875,\n              49.1242192485914\n            ],\n            [\n              -125.1123046875,\n              29.19053283229458\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"51","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59fadd20e4b0531197b13c78","contributors":{"authors":[{"text":"Bedrosian, Geoffrey","contributorId":198920,"corporation":false,"usgs":false,"family":"Bedrosian","given":"Geoffrey","email":"","affiliations":[],"preferred":false,"id":717622,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Watson, James W.","contributorId":198921,"corporation":false,"usgs":false,"family":"Watson","given":"James","email":"","middleInitial":"W.","affiliations":[{"id":12438,"text":"Washington Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":717623,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Steenhof, Karen karen_steenhof@usgs.gov","contributorId":30585,"corporation":false,"usgs":true,"family":"Steenhof","given":"Karen","email":"karen_steenhof@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":717624,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kochert, Michael N. 0000-0002-4380-3298 mkochert@usgs.gov","orcid":"https://orcid.org/0000-0002-4380-3298","contributorId":3037,"corporation":false,"usgs":true,"family":"Kochert","given":"Michael","email":"mkochert@usgs.gov","middleInitial":"N.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":717621,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Preston, Charles R.","contributorId":198922,"corporation":false,"usgs":false,"family":"Preston","given":"Charles","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":717625,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Woodbridge, Brian","contributorId":198923,"corporation":false,"usgs":false,"family":"Woodbridge","given":"Brian","email":"","affiliations":[{"id":17821,"text":"U.S. Fish and Wildlife Service, Division of Migratory Birds","active":true,"usgs":false}],"preferred":false,"id":717626,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Williams, Gary E.","contributorId":198924,"corporation":false,"usgs":false,"family":"Williams","given":"Gary","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":717627,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Keller, Kent R.","contributorId":198925,"corporation":false,"usgs":false,"family":"Keller","given":"Kent","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":717628,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Crandall, Ross H.","contributorId":198926,"corporation":false,"usgs":false,"family":"Crandall","given":"Ross","email":"","middleInitial":"H.","affiliations":[{"id":6657,"text":"Craighead Beringia South","active":true,"usgs":false}],"preferred":false,"id":717629,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70193038,"text":"70193038 - 2017 - Future of Pacific salmon in the face of environmental change: Lessons from one of the world's remaining productive salmon regions","interactions":[],"lastModifiedDate":"2018-02-28T14:28:14","indexId":"70193038","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1657,"text":"Fisheries","onlineIssn":"1548-8446","printIssn":"0363-2415","active":true,"publicationSubtype":{"id":10}},"title":"Future of Pacific salmon in the face of environmental change: Lessons from one of the world's remaining productive salmon regions","docAbstract":"<p><span>Pacific salmon&nbsp;</span><i>Oncorhynchus</i><span><span>&nbsp;</span>spp. face serious challenges from climate and landscape change, particularly in the southern portion of their native range. Conversely, climate warming appears to be allowing salmon to expand northwards into the Arctic. Between these geographic extremes, in the Gulf of Alaska region, salmon are at historically high abundances but face an uncertain future due to rapid environmental change. We examined changes in climate, hydrology, land cover, salmon populations, and fisheries over the past 30–70 years in this region. We focused on the Kenai River, which supports world-famous fisheries but where Chinook Salmon<span>&nbsp;</span></span><i>O. tshawytscha</i><span><span>&nbsp;</span>populations have declined, raising concerns about their future resilience. The region is warming and experiencing drier summers and wetter autumns. The landscape is also changing, with melting glaciers, wetland loss, wildfires, and human development. This environmental transformation will likely harm some salmon populations while benefiting others. Lowland salmon streams are especially vulnerable, but retreating glaciers may allow production gains in other streams. Some fishing communities harvest a diverse portfolio of fluctuating resources, whereas others have specialized over time, potentially limiting their resilience. Maintaining diverse habitats and salmon runs may allow ecosystems and fisheries to continue to thrive amidst these changes.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/03632415.2017.1374251","usgsCitation":"Schoen, E.R., Wipfli, M.S., Trammell, J., Rinella, D.J., Floyd, A.L., Grunblatt, J., McCarthy, M.D., Meyer, B.E., Morton, J.M., Powell, J.E., Prakash, A., Reimer, M.N., Stuefer, S.L., Toniolo, H., Wells, B.M., and Witmer, F.D., 2017, Future of Pacific salmon in the face of environmental change: Lessons from one of the world's remaining productive salmon regions: Fisheries, v. 42, no. 10, p. 538-553, https://doi.org/10.1080/03632415.2017.1374251.","productDescription":"16 p.","startPage":"538","endPage":"553","ipdsId":"IP-084989","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":482061,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/03632415.2017.1374251","text":"Publisher Index Page"},{"id":348312,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","volume":"42","issue":"10","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-24","publicationStatus":"PW","scienceBaseUri":"5a07e872e4b09af898c8cb6c","contributors":{"authors":[{"text":"Schoen, Erik R.","contributorId":184107,"corporation":false,"usgs":false,"family":"Schoen","given":"Erik","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":720789,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wipfli, Mark S. 0000-0002-4856-6068 mwipfli@usgs.gov","orcid":"https://orcid.org/0000-0002-4856-6068","contributorId":1425,"corporation":false,"usgs":true,"family":"Wipfli","given":"Mark","email":"mwipfli@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":717729,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Trammell, Jamie","contributorId":189260,"corporation":false,"usgs":false,"family":"Trammell","given":"Jamie","email":"","affiliations":[],"preferred":false,"id":720790,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rinella, Daniel J.","contributorId":69048,"corporation":false,"usgs":true,"family":"Rinella","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":720791,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Floyd, Angelica L.","contributorId":200048,"corporation":false,"usgs":false,"family":"Floyd","given":"Angelica","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":720792,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Grunblatt, Jess","contributorId":189261,"corporation":false,"usgs":false,"family":"Grunblatt","given":"Jess","email":"","affiliations":[],"preferred":false,"id":720793,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McCarthy, Molly D.","contributorId":200049,"corporation":false,"usgs":false,"family":"McCarthy","given":"Molly","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":720794,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Meyer, Benjamin E.","contributorId":200050,"corporation":false,"usgs":false,"family":"Meyer","given":"Benjamin","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":720795,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Morton, John M.","contributorId":17097,"corporation":false,"usgs":true,"family":"Morton","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":720796,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Powell, James E.","contributorId":200051,"corporation":false,"usgs":false,"family":"Powell","given":"James","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":720797,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Prakash, Anupma","contributorId":189216,"corporation":false,"usgs":false,"family":"Prakash","given":"Anupma","email":"","affiliations":[{"id":13662,"text":"Geophysical Institute, University of Alaska, Fairbanks","active":true,"usgs":false}],"preferred":false,"id":720798,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Reimer, Matthew N.","contributorId":200052,"corporation":false,"usgs":false,"family":"Reimer","given":"Matthew","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":720799,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Stuefer, Svetlana L.","contributorId":200053,"corporation":false,"usgs":false,"family":"Stuefer","given":"Svetlana","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":720800,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Toniolo, Horacio","contributorId":200054,"corporation":false,"usgs":false,"family":"Toniolo","given":"Horacio","email":"","affiliations":[],"preferred":false,"id":720801,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Wells, Brett M.","contributorId":200055,"corporation":false,"usgs":false,"family":"Wells","given":"Brett","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":720802,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Witmer, Frank D. W.","contributorId":200056,"corporation":false,"usgs":false,"family":"Witmer","given":"Frank","email":"","middleInitial":"D. W.","affiliations":[],"preferred":false,"id":720803,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}}
,{"id":70192963,"text":"70192963 - 2017 - Using genetic pedigree reconstruction to estimate effective spawner abundance from redd surveys: an example involving Pacific lamprey (Entosphenus tridentatus)","interactions":[],"lastModifiedDate":"2017-11-07T12:36:07","indexId":"70192963","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Using genetic pedigree reconstruction to estimate effective spawner abundance from redd surveys: an example involving Pacific lamprey (<i>Entosphenus tridentatus</i>)","title":"Using genetic pedigree reconstruction to estimate effective spawner abundance from redd surveys: an example involving Pacific lamprey (Entosphenus tridentatus)","docAbstract":"<p><span>Redd surveys are a commonly used technique for indexing the abundance of sexually mature fish in streams; however, substantial effort is often required to link redd counts to actual spawner abundance. In this study, we describe how genetic pedigree reconstruction can be used to estimate effective spawner abundance in a stream reach, using Pacific lamprey (</span><i>Entosphenus tridentatus</i><span>) as an example. Lamprey embryos were sampled from redds within a 2.5 km reach of the Luckiamute River, Oregon, USA. Embryos were found in only 20 of the 48 redds sampled (suggesting 58% false redds); however, multiple sets of parents were detected in 44% of the true redds. Estimates from pedigree reconstruction suggested that there were 0.48 (95% CI: 0.29–0.88) effective spawners per redd and revealed that individual lamprey contributed gametes to a minimum of between one and six redds, and in one case, spawned in patches that were separated by over 800 m. Our findings demonstrate the utility of pedigree reconstruction techniques for both inferring spawning-ground behaviors and providing useful information for refining lamprey redd survey methodologies.</span></p>","language":"English","publisher":"NRC Research Press","doi":"10.1139/cjfas-2016-0154","usgsCitation":"Whitlock, S., Schultz, L., Schreck, C.B., and Hess, J., 2017, Using genetic pedigree reconstruction to estimate effective spawner abundance from redd surveys: an example involving Pacific lamprey (Entosphenus tridentatus): Canadian Journal of Fisheries and Aquatic Sciences, v. 74, no. 10, p. 1646-1653, https://doi.org/10.1139/cjfas-2016-0154.","productDescription":"8 p.","startPage":"1646","endPage":"1653","ipdsId":"IP-071422","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":348376,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Luckiamute River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.48186492919922,\n              44.66523445141229\n            ],\n            [\n              -123.45542907714842,\n              44.66523445141229\n            ],\n            [\n              -123.45542907714842,\n              44.70636419995174\n            ],\n            [\n              -123.48186492919922,\n              44.70636419995174\n            ],\n            [\n              -123.48186492919922,\n              44.66523445141229\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"74","issue":"10","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a07e873e4b09af898c8cb70","contributors":{"authors":[{"text":"Whitlock, S.L.","contributorId":198860,"corporation":false,"usgs":false,"family":"Whitlock","given":"S.L.","email":"","affiliations":[],"preferred":false,"id":717450,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schultz, L.D.","contributorId":198861,"corporation":false,"usgs":false,"family":"Schultz","given":"L.D.","email":"","affiliations":[],"preferred":false,"id":717451,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schreck, Carl B. 0000-0001-8347-1139 carl.schreck@usgs.gov","orcid":"https://orcid.org/0000-0001-8347-1139","contributorId":878,"corporation":false,"usgs":true,"family":"Schreck","given":"Carl","email":"carl.schreck@usgs.gov","middleInitial":"B.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":717449,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hess, J.E.","contributorId":198862,"corporation":false,"usgs":false,"family":"Hess","given":"J.E.","email":"","affiliations":[],"preferred":false,"id":717452,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70192072,"text":"70192072 - 2017 - Accounting for imperfect detection of groups and individuals when estimating abundance","interactions":[],"lastModifiedDate":"2017-10-19T15:48:56","indexId":"70192072","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Accounting for imperfect detection of groups and individuals when estimating abundance","docAbstract":"<p><span>If animals are independently detected during surveys, many methods exist for estimating animal abundance despite detection probabilities &lt;1. Common estimators include double-observer models, distance sampling models and combined double-observer and distance sampling models (known as mark-recapture-distance-sampling models; MRDS). When animals reside in groups, however, the assumption of independent detection is violated. In this case, the standard approach is to account for imperfect detection of groups, while assuming that individuals within groups are detected perfectly. However, this assumption is often unsupported. We introduce an abundance estimator for grouped animals when detection of groups is imperfect and group size may be under-counted, but not over-counted. The estimator combines an MRDS model with an N-mixture model to account for imperfect detection of individuals. The new MRDS-Nmix model requires the same data as an MRDS model (independent detection histories, an estimate of distance to transect, and an estimate of group size), plus a second estimate of group size provided by the second observer. We extend the model to situations in which detection of individuals within groups declines with distance. We simulated 12 data sets and used Bayesian methods to compare the performance of the new MRDS-Nmix model to an MRDS model. Abundance estimates generated by the MRDS-Nmix model exhibited minimal bias and nominal coverage levels. In contrast, MRDS abundance estimates were biased low and exhibited poor coverage. Many species of conservation interest reside in groups and could benefit from an estimator that better accounts for imperfect detection. Furthermore, the ability to relax the assumption of perfect detection of individuals within detected groups may allow surveyors to re-allocate resources toward detection of new groups instead of extensive surveys of known groups. We believe the proposed estimator is feasible because the only additional field data required are a second estimate of group size.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.3284","usgsCitation":"Clement, M.J., Converse, S.J., and Royle, J., 2017, Accounting for imperfect detection of groups and individuals when estimating abundance: Ecology and Evolution, v. 7, no. 18, p. 7304-7310, https://doi.org/10.1002/ece3.3284.","productDescription":"7 p.","startPage":"7304","endPage":"7310","ipdsId":"IP-086061","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":469478,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.3284","text":"Publisher Index Page"},{"id":347004,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"18","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-08","publicationStatus":"PW","scienceBaseUri":"59e9b992e4b05fe04cd65c51","contributors":{"authors":[{"text":"Clement, Matthew J. mclement@usgs.gov","contributorId":5278,"corporation":false,"usgs":true,"family":"Clement","given":"Matthew","email":"mclement@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":714185,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Converse, Sarah J. 0000-0002-3719-5441 sconverse@usgs.gov","orcid":"https://orcid.org/0000-0002-3719-5441","contributorId":173772,"corporation":false,"usgs":true,"family":"Converse","given":"Sarah","email":"sconverse@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":714063,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Royle, J. Andrew 0000-0003-3135-2167 aroyle@usgs.gov","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":138865,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","email":"aroyle@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":714064,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70192065,"text":"70192065 - 2017 - Extreme precipitation variability, forage quality and large herbivore diet selection in arid environments","interactions":[],"lastModifiedDate":"2017-10-19T14:04:04","indexId":"70192065","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2939,"text":"Oikos","active":true,"publicationSubtype":{"id":10}},"title":"Extreme precipitation variability, forage quality and large herbivore diet selection in arid environments","docAbstract":"<p><span>Nutritional ecology forms the interface between environmental variability and large herbivore behaviour, life history characteristics, and population dynamics. Forage conditions in arid and semi-arid regions are driven by unpredictable spatial and temporal patterns in rainfall. Diet selection by herbivores should be directed towards overcoming the most pressing nutritional limitation (i.e. energy, protein [nitrogen, N], moisture) within the constraints imposed by temporal and spatial variability in forage conditions. We investigated the influence of precipitation-induced shifts in forage nutritional quality and subsequent large herbivore responses across widely varying precipitation conditions in an arid environment. Specifically, we assessed seasonal changes in diet breadth and forage selection of adult female desert bighorn sheep&nbsp;</span><i>Ovis canadensis mexicana</i><span><span>&nbsp;</span>in relation to potential nutritional limitations in forage N, moisture and energy content (as proxied by dry matter digestibility, DMD). Succulents were consistently high in moisture but low in N and grasses were low in N and moisture until the wet period. Nitrogen and moisture content of shrubs and forbs varied among seasons and climatic periods, whereas trees had consistently high N and moderate moisture levels. Shrubs, trees and succulents composed most of the seasonal sheep diets but had little variation in DMD. Across all seasons during drought and during summer with average precipitation, forages selected by sheep were higher in N and moisture than that of available forage. Differences in DMD between sheep diets and available forage were minor. Diet breadth was lowest during drought and increased with precipitation, reflecting a reliance on few key forage species during drought. Overall, forage selection was more strongly associated with N and moisture content than energy content. Our study demonstrates that unlike north-temperate ungulates which are generally reported to be energy-limited, N and moisture may be more nutritionally limiting for desert ungulates than digestible energy.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/oik.04282","usgsCitation":"Cain, J.W., Gedir, J.V., Marshal, J.P., Krausman, P.R., Allen, J.D., Duff, G.C., Jansen, B., and Morgart, J.R., 2017, Extreme precipitation variability, forage quality and large herbivore diet selection in arid environments: Oikos, v. 126, no. 10, p. 1459-1471, https://doi.org/10.1111/oik.04282.","productDescription":"13 p.","startPage":"1459","endPage":"1471","ipdsId":"IP-072425","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":438201,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7B856CS","text":"USGS data release","linkHelpText":"Extreme precipitation variability, forage quality and large herbivore diet selection in arid environments"},{"id":346983,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Cabeza  Prieta  National  Wildlife  Refuge","volume":"126","issue":"10","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-15","publicationStatus":"PW","scienceBaseUri":"59e9b993e4b05fe04cd65c56","contributors":{"authors":[{"text":"Cain, James W. III 0000-0003-4743-516X jwcain@usgs.gov","orcid":"https://orcid.org/0000-0003-4743-516X","contributorId":4063,"corporation":false,"usgs":true,"family":"Cain","given":"James","suffix":"III","email":"jwcain@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":714055,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gedir, Jay V.","contributorId":171735,"corporation":false,"usgs":false,"family":"Gedir","given":"Jay","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":714069,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marshal, Jason P.","contributorId":197680,"corporation":false,"usgs":false,"family":"Marshal","given":"Jason","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":714070,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Krausman, Paul R.","contributorId":31467,"corporation":false,"usgs":true,"family":"Krausman","given":"Paul","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":714071,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Allen, Jamison D.","contributorId":171736,"corporation":false,"usgs":false,"family":"Allen","given":"Jamison","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":714072,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Duff, Glenn C.","contributorId":171737,"corporation":false,"usgs":false,"family":"Duff","given":"Glenn","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":714073,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jansen, Brian","contributorId":191917,"corporation":false,"usgs":false,"family":"Jansen","given":"Brian","email":"","affiliations":[],"preferred":false,"id":714074,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Morgart, John R.","contributorId":10891,"corporation":false,"usgs":true,"family":"Morgart","given":"John","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":714075,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70192044,"text":"70192044 - 2017 - Balancing stability and flexibility in adaptive governance: An analysis of tools available in U.S. environmental law","interactions":[],"lastModifiedDate":"2017-10-25T15:38:28","indexId":"70192044","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1468,"text":"Ecology and Society","active":true,"publicationSubtype":{"id":10}},"title":"Balancing stability and flexibility in adaptive governance: An analysis of tools available in U.S. environmental law","docAbstract":"<p><span>Adaptive governance must work “on the ground,” that is, it must operate through structures and procedures that the people it governs perceive to be legitimate and fair, as well as incorporating processes and substantive goals that are effective in allowing social-ecological systems (SESs) to adapt to climate change and other impacts. To address the continuing and accelerating alterations that climate change is bringing to SESs, adaptive governance generally will require more flexibility than prior governance institutions have often allowed. However, to function as good governance, adaptive governance must pay real attention to the problem of how to balance this increased need for flexibility with continuing governance stability so that it can foster adaptation to change without being perceived or experienced as perpetually destabilizing, disruptive, and unfair. Flexibility and stability serve different purposes in governance, and a variety of tools exist to strike different balances between them while still preserving the governance institution’s legitimacy among the people governed. After reviewing those purposes and the implications of climate change for environmental governance, we examine psychological insights into the structuring of adaptive governance and the variety of legal tools available to incorporate those insights into adaptive governance regimes. Because the substantive goals of governance systems will differ among specific systems, we do not purport to comment on what the normative or substantive goals of law should be. Instead, we conclude that attention to process and procedure (including participation), as well as increased use of substantive standards (instead of rules), may allow an increased level of substantive flexibility to operate with legitimacy and fairness, providing the requisite levels of psychological, social, and economic stability needed for communities to adapt successfully to the Anthropocene.</span></p>","language":"English","publisher":"Ecology and Society","doi":"10.5751/ES-08983-220203","usgsCitation":"Kundis Craig, R., Garmestani, A.S., Allen, C.R., Arnold, C.A., Birge, H.E., DeCaro, D.A., Fremier, A., Gosnell, H., and Schlager, E., 2017, Balancing stability and flexibility in adaptive governance: An analysis of tools available in U.S. environmental law: Ecology and Society, v. 22, no. 2, p. 1-15, https://doi.org/10.5751/ES-08983-220203.","productDescription":"Article 3; 15 p.","startPage":"1","endPage":"15","ipdsId":"IP-079618","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":482063,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5751/es-08983-220203","text":"Publisher Index Page"},{"id":347406,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59f1a2a4e4b0220bbd9d9f3e","contributors":{"authors":[{"text":"Kundis Craig, Robin","contributorId":189231,"corporation":false,"usgs":false,"family":"Kundis Craig","given":"Robin","email":"","affiliations":[],"preferred":false,"id":715859,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garmestani, Ahjond S.","contributorId":77285,"corporation":false,"usgs":true,"family":"Garmestani","given":"Ahjond","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":715860,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Allen, Craig R. 0000-0001-8655-8272 allencr@usgs.gov","orcid":"https://orcid.org/0000-0001-8655-8272","contributorId":1979,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"allencr@usgs.gov","middleInitial":"R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":714003,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Arnold, Craig Anthony","contributorId":189230,"corporation":false,"usgs":false,"family":"Arnold","given":"Craig","email":"","middleInitial":"Anthony","affiliations":[],"preferred":false,"id":715869,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Birge, Hannah E.","contributorId":166737,"corporation":false,"usgs":false,"family":"Birge","given":"Hannah","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":715870,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"DeCaro, Daniel A.","contributorId":198374,"corporation":false,"usgs":false,"family":"DeCaro","given":"Daniel","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":715871,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fremier, Alexander K.","contributorId":104403,"corporation":false,"usgs":true,"family":"Fremier","given":"Alexander K.","affiliations":[],"preferred":false,"id":715872,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gosnell, Hannah","contributorId":192214,"corporation":false,"usgs":false,"family":"Gosnell","given":"Hannah","email":"","affiliations":[],"preferred":false,"id":715873,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Schlager, Edella","contributorId":197371,"corporation":false,"usgs":false,"family":"Schlager","given":"Edella","email":"","affiliations":[],"preferred":false,"id":715874,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70192157,"text":"70192157 - 2017 - Evaluating a kinematic method for generating broadband ground motions for great subduction zone earthquakes: Application to the 2003  Mw 8.3 Tokachi‐Oki earthquake","interactions":[],"lastModifiedDate":"2017-10-23T14:06:59","indexId":"70192157","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Evaluating a kinematic method for generating broadband ground motions for great subduction zone earthquakes: Application to the 2003  M<sub>w</sub> 8.3 Tokachi‐Oki earthquake","title":"Evaluating a kinematic method for generating broadband ground motions for great subduction zone earthquakes: Application to the 2003  Mw 8.3 Tokachi‐Oki earthquake","docAbstract":"<p><span>We compare broadband synthetic seismograms with recordings of the 2003&nbsp;</span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-3-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msub xmlns=&quot;&quot;><mi>M</mi><mi mathvariant=&quot;normal&quot;>w</mi></msub></math>\"><span id=\"MathJax-Span-11\" class=\"math\"><span><span><span id=\"MathJax-Span-12\" class=\"mrow\"><span id=\"MathJax-Span-13\" class=\"msub\"><span><span><span id=\"MathJax-Span-14\" class=\"mi\">M</span></span><span><span id=\"MathJax-Span-15\" class=\"mi\">w</span></span></span></span></span></span></span></span><span class=\"MJX_Assistive_MathML\">Mw</span></span></span><span>&nbsp;8.3 Tokachi‐Oki earthquake to evaluate a compound rupture model, in which slip on the fault consists of multiple high‐stress‐drop asperities superimposed on a background slip distribution with longer rise times. Low‐frequency synthetics (</span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-4-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mo xmlns=&quot;&quot; rspace=&quot;0em&quot;>&amp;lt;</mo><mn xmlns=&quot;&quot;>1</mn><mtext xmlns=&quot;&quot;>&amp;#x2009;&amp;#x2009;</mtext><mi xmlns=&quot;&quot;>Hz</mi></math>\"><span id=\"MathJax-Span-16\" class=\"math\"><span><span><span id=\"MathJax-Span-17\" class=\"mrow\"><span id=\"MathJax-Span-18\" class=\"mo\">&lt;</span><span id=\"MathJax-Span-19\" class=\"mn\">1</span><span id=\"MathJax-Span-20\" class=\"mtext\">  </span><span id=\"MathJax-Span-21\" class=\"mi\">Hz</span></span></span></span></span><span class=\"MJX_Assistive_MathML\">&lt;1  Hz</span></span></span><span>) are calculated using deterministic, 3D finite‐difference simulations and are combined with high‐frequency (</span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-5-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mo xmlns=&quot;&quot; rspace=&quot;0em&quot;>&amp;gt;</mo><mn xmlns=&quot;&quot;>1</mn><mtext xmlns=&quot;&quot;>&amp;#x2009;&amp;#x2009;</mtext><mi xmlns=&quot;&quot;>Hz</mi></math>\"><span id=\"MathJax-Span-22\" class=\"math\"><span><span><span id=\"MathJax-Span-23\" class=\"mrow\"><span id=\"MathJax-Span-24\" class=\"mo\">&gt;</span><span id=\"MathJax-Span-25\" class=\"mn\">1</span><span id=\"MathJax-Span-26\" class=\"mtext\">  </span><span id=\"MathJax-Span-27\" class=\"mi\">Hz</span></span></span></span></span><span class=\"MJX_Assistive_MathML\">&gt;1  Hz</span></span></span><span>) stochastic synthetics using a matched filter at 1&nbsp;Hz. We show that this compound rupture model and overall approach accurately reproduces waveform envelopes and observed response spectral accelerations (SAs) from the Tokachi‐Oki event. We find that sufficiently short subfault rise times (i.e.,<span>&nbsp;</span></span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-6-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mo xmlns=&quot;&quot;>&amp;lt;</mo><mo xmlns=&quot;&quot;>&amp;#x223C;</mo><mn xmlns=&quot;&quot;>1</mn><mo xmlns=&quot;&quot;>&amp;#x2013;</mo><mn xmlns=&quot;&quot;>2</mn><mtext xmlns=&quot;&quot;>&amp;#x2009;&amp;#x2009;</mtext><mi xmlns=&quot;&quot; mathvariant=&quot;normal&quot;>s</mi></math>\"><span id=\"MathJax-Span-28\" class=\"math\"><span><span><span id=\"MathJax-Span-29\" class=\"mrow\"><span id=\"MathJax-Span-30\" class=\"mo\">&lt;</span><span id=\"MathJax-Span-31\" class=\"mo\">∼</span><span id=\"MathJax-Span-32\" class=\"mn\">1</span><span id=\"MathJax-Span-33\" class=\"mo\">–</span><span id=\"MathJax-Span-34\" class=\"mn\">2</span><span id=\"MathJax-Span-35\" class=\"mtext\">  </span><span id=\"MathJax-Span-36\" class=\"mi\">s</span></span></span></span></span><span class=\"MJX_Assistive_MathML\">&lt;∼1–2  s</span></span></span><span>) are necessary to reproduce energy<span>&nbsp;</span></span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-7-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mo xmlns=&quot;&quot;>&amp;#x223C;</mo><mn xmlns=&quot;&quot;>1</mn><mtext xmlns=&quot;&quot;>&amp;#x2009;&amp;#x2009;</mtext><mi xmlns=&quot;&quot;>Hz</mi></math>\"><span id=\"MathJax-Span-37\" class=\"math\"><span><span><span id=\"MathJax-Span-38\" class=\"mrow\"><span id=\"MathJax-Span-39\" class=\"mo\">∼</span><span id=\"MathJax-Span-40\" class=\"mn\">1</span><span id=\"MathJax-Span-41\" class=\"mtext\">  </span><span id=\"MathJax-Span-42\" class=\"mi\">Hz</span></span></span></span></span><span class=\"MJX_Assistive_MathML\">∼1  Hz</span></span></span><span>. This is achieved by either (1)&nbsp;including distinct subevents with short rise times, as may be suggested by the Tokachi‐Oki data, or (2)&nbsp;imposing a fast‐slip velocity over the entire rupture area. We also include a systematic study on the effects of varying several kinematic rupture parameters. We find that simulated strong ground motions are sensitive to the average rupture velocity and coherence of the rupture front, with more coherent ruptures yielding higher response SAs. We also assess the effects of varying the average slip velocity and the character (i.e., area, magnitude, and location) of high‐stress‐drop subevents. Even in the absence of precise constraints on these kinematic rupture parameters, our simulations still reproduce major features in the Tokachi‐Oki earthquake data, supporting its accuracy in modeling future large earthquakes.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120170065","usgsCitation":"Wirth, E.A., Frankel, A.D., and Vidale, J.E., 2017, Evaluating a kinematic method for generating broadband ground motions for great subduction zone earthquakes: Application to the 2003  Mw 8.3 Tokachi‐Oki earthquake: Bulletin of the Seismological Society of America, v. 107, no. 4, p. 1737-1753, https://doi.org/10.1785/0120170065.","productDescription":"17 p.","startPage":"1737","endPage":"1753","ipdsId":"IP-082673","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":347131,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Japan","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              141.9873046875,\n              41.430371882652814\n            ],\n            [\n              144.8272705078125,\n              41.430371882652814\n            ],\n            [\n              144.8272705078125,\n              43.50075243569041\n            ],\n            [\n              141.9873046875,\n              43.50075243569041\n            ],\n            [\n              141.9873046875,\n              41.430371882652814\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"107","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-11","publicationStatus":"PW","scienceBaseUri":"59eeffa4e4b0220bbd988f69","contributors":{"authors":[{"text":"Wirth, Erin A. 0000-0002-8592-4442","orcid":"https://orcid.org/0000-0002-8592-4442","contributorId":197865,"corporation":false,"usgs":true,"family":"Wirth","given":"Erin","email":"","middleInitial":"A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":false,"id":714475,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Frankel, Arthur D. 0000-0001-9119-6106 afrankel@usgs.gov","orcid":"https://orcid.org/0000-0001-9119-6106","contributorId":146285,"corporation":false,"usgs":true,"family":"Frankel","given":"Arthur","email":"afrankel@usgs.gov","middleInitial":"D.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":714474,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vidale, John E.","contributorId":197866,"corporation":false,"usgs":false,"family":"Vidale","given":"John","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":714476,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70192189,"text":"70192189 - 2017 - Nearshore fish community","interactions":[],"lastModifiedDate":"2018-02-16T11:29:02","indexId":"70192189","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Nearshore fish community","docAbstract":"<p>Lake Ontario’s nearshore fish community consists of a diverse assemblage of warm- and cool-water species. The “nearshore zone,” loosely separated from the “offshore zones” by the 15-m depth contour, consists of complex habitats spanning a gamut from vast open-coastal areas to sheltered embayments and wetlands. Lake Ontario’s nearshore habitat has been affected to varying degrees by human activities. Although many areas are relatively unimpaired, some are severely degraded and have been designated as Areas of Concern (AOCs) (http://www.ec.gc.ca/raps-pas/; http://www2.epa.gov/great-lakes-aocs). </p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"The state of Lake Ontario in 2014","largerWorkSubtype":{"id":9,"text":"Other Report"},"language":"English","publisher":"Great Lakes Fishery Commission","usgsCitation":"Hoyle, J.A., Connerton, M., Dittman, D.E., Gorsky, D., Lantry, J.R., Mathers, A., Schlueter, S.L., Walsh, M., Weidel, B., and Yuille, M.J., 2017, Nearshore fish community, 34 p.","productDescription":"34 p.","startPage":"33","endPage":"66","ipdsId":"IP-074971","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":351708,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":351707,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://www.glfc.org/pubs/SpecialPubs/Sp17_02.pdf"}],"otherGeospatial":"Lake Ontario","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -79.9969482421875,\n              43.16512263158296\n            ],\n            [\n              -76.025390625,\n              43.16512263158296\n            ],\n            [\n              -76.025390625,\n              44.26093725039923\n            ],\n            [\n              -79.9969482421875,\n              44.26093725039923\n            ],\n            [\n              -79.9969482421875,\n              43.16512263158296\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee7eae4b0da30c1bfc3a3","contributors":{"authors":[{"text":"Hoyle, James A.","contributorId":197958,"corporation":false,"usgs":false,"family":"Hoyle","given":"James","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":714651,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Connerton, Michael J.","contributorId":190416,"corporation":false,"usgs":false,"family":"Connerton","given":"Michael J.","affiliations":[],"preferred":false,"id":714652,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dittman, Dawn E. 0000-0002-0711-3732 ddittman@usgs.gov","orcid":"https://orcid.org/0000-0002-0711-3732","contributorId":2762,"corporation":false,"usgs":true,"family":"Dittman","given":"Dawn","email":"ddittman@usgs.gov","middleInitial":"E.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":714650,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gorsky, Dimitry","contributorId":169691,"corporation":false,"usgs":false,"family":"Gorsky","given":"Dimitry","affiliations":[],"preferred":false,"id":714653,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lantry, Jana R.","contributorId":141107,"corporation":false,"usgs":false,"family":"Lantry","given":"Jana","email":"","middleInitial":"R.","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":714654,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mathers, Alastair","contributorId":36786,"corporation":false,"usgs":true,"family":"Mathers","given":"Alastair","email":"","affiliations":[],"preferred":false,"id":714655,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schlueter, Scott L.","contributorId":197961,"corporation":false,"usgs":false,"family":"Schlueter","given":"Scott","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":714656,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Walsh, Maureen 0000-0001-7846-5025 mwalsh@usgs.gov","orcid":"https://orcid.org/0000-0001-7846-5025","contributorId":3659,"corporation":false,"usgs":true,"family":"Walsh","given":"Maureen","email":"mwalsh@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":714657,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Weidel, Brian 0000-0001-6095-2773 bweidel@usgs.gov","orcid":"https://orcid.org/0000-0001-6095-2773","contributorId":2485,"corporation":false,"usgs":true,"family":"Weidel","given":"Brian","email":"bweidel@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":714658,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Yuille, Michael J.","contributorId":194647,"corporation":false,"usgs":false,"family":"Yuille","given":"Michael","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":714659,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70192823,"text":"70192823 - 2017 - Surveillance for highly pathogenic influenza A viruses in California during 2014–2015 provides insights into viral evolutionary pathways and the spatiotemporal extent of viruses in the Pacific Americas Flyway","interactions":[],"lastModifiedDate":"2017-11-10T10:13:25","indexId":"70192823","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5203,"text":"Emerging Microbes & Infections","active":true,"publicationSubtype":{"id":10}},"title":"Surveillance for highly pathogenic influenza A viruses in California during 2014–2015 provides insights into viral evolutionary pathways and the spatiotemporal extent of viruses in the Pacific Americas Flyway","docAbstract":"<p><span>We used surveillance data collected in California before, concurrent with, and subsequent to an outbreak of highly pathogenic (HP) clade 2.3.4.4 influenza A viruses (IAVs) in 2014–2015 to (i) evaluate IAV prevalence in waterfowl, (ii) assess the evidence for spill-over infections in marine mammals and (iii) genetically characterize low-pathogenic (LP) and HP IAVs to refine inference on the spatiotemporal extent of HP genome constellations and to evaluate possible evolutionary pathways. We screened samples from 1496 waterfowl and 1142 marine mammals collected from April 2014 to August 2015 and detected IAV RNA in 159 samples collected from birds (</span><i>n</i><span class=\"mb\">=</span><span>157) and pinnipeds (</span><i>n</i><span class=\"mb\">=</span><span>2). HP IAV RNA was identified in three samples originating from American wigeon (</span><i>Anas americana</i><span>). Genetic sequence data were generated for a clade 2.3.4.4 HP IAV-positive diagnostic sample and 57 LP IAV isolates. Phylogenetic analyses revealed that the HP IAV was a reassortant H5N8 virus with gene segments closely related to LP IAVs detected in mallards (</span><i>Anas platyrhynchos</i><span>) sampled in California and other IAVs detected in wild birds sampled within the Pacific Americas Flyway. In addition, our analysis provided support for common ancestry between LP IAVs recovered from waterfowl sampled in California and gene segments of reassortant HP H5N1 IAVs detected in British Columbia, Canada and Washington, USA. Our investigation provides evidence that waterfowl are likely to have played a role in the evolution of reassortant HP IAVs in the Pacific Americas Flyway during 2014–2015, whereas we did not find support for spill-over infections in potential pinniped hosts.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/emi.2017.66","usgsCitation":"Ramey, A.M., Hill, N.J., Cline, T., Plancarte, M., De La Cruz, S., Casazza, M.L., Ackerman, J., Fleskes, J.P., Vickers, T.W., Reeves, A.B., Gulland, F., Fontaine, C., Prosser, D.J., Runstadler, J., and Boyce, W.M., 2017, Surveillance for highly pathogenic influenza A viruses in California during 2014–2015 provides insights into viral evolutionary pathways and the spatiotemporal extent of viruses in the Pacific Americas Flyway: Emerging Microbes & Infections, v. 6, p. 1-10, https://doi.org/10.1038/emi.2017.66.","productDescription":"e80; 10 p.","startPage":"1","endPage":"10","ipdsId":"IP-086106","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":482057,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/emi.2017.66","text":"Publisher Index Page"},{"id":348062,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2019-01-15","publicationStatus":"PW","scienceBaseUri":"59fadd20e4b0531197b13c7b","contributors":{"authors":[{"text":"Ramey, Andrew M. 0000-0002-3601-8400 aramey@usgs.gov","orcid":"https://orcid.org/0000-0002-3601-8400","contributorId":1872,"corporation":false,"usgs":true,"family":"Ramey","given":"Andrew","email":"aramey@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":717066,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hill, Nichola J.","contributorId":189563,"corporation":false,"usgs":false,"family":"Hill","given":"Nichola","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":717067,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cline, Troy","contributorId":198753,"corporation":false,"usgs":false,"family":"Cline","given":"Troy","affiliations":[],"preferred":false,"id":717068,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Plancarte, Magdalena","contributorId":198754,"corporation":false,"usgs":false,"family":"Plancarte","given":"Magdalena","email":"","affiliations":[],"preferred":false,"id":717069,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"De La Cruz, Susan sdelacruz@usgs.gov","contributorId":131159,"corporation":false,"usgs":true,"family":"De La Cruz","given":"Susan","email":"sdelacruz@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":717070,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Casazza, Michael L. 0000-0002-5636-735X mike_casazza@usgs.gov","orcid":"https://orcid.org/0000-0002-5636-735X","contributorId":2091,"corporation":false,"usgs":true,"family":"Casazza","given":"Michael","email":"mike_casazza@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":717071,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"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":717072,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fleskes, Joseph P. 0000-0001-5388-6675 joe_fleskes@usgs.gov","orcid":"https://orcid.org/0000-0001-5388-6675","contributorId":177154,"corporation":false,"usgs":true,"family":"Fleskes","given":"Joseph","email":"joe_fleskes@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":717073,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Vickers, T. Winston","contributorId":198755,"corporation":false,"usgs":false,"family":"Vickers","given":"T.","email":"","middleInitial":"Winston","affiliations":[],"preferred":false,"id":717074,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Reeves, Andrew B. 0000-0002-7526-0726 areeves@usgs.gov","orcid":"https://orcid.org/0000-0002-7526-0726","contributorId":167362,"corporation":false,"usgs":true,"family":"Reeves","given":"Andrew","email":"areeves@usgs.gov","middleInitial":"B.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":717075,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Gulland, Frances","contributorId":198756,"corporation":false,"usgs":false,"family":"Gulland","given":"Frances","affiliations":[],"preferred":false,"id":717076,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Fontaine, Christine","contributorId":198757,"corporation":false,"usgs":false,"family":"Fontaine","given":"Christine","email":"","affiliations":[],"preferred":false,"id":717077,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Prosser, Diann J. 0000-0002-5251-1799 dprosser@usgs.gov","orcid":"https://orcid.org/0000-0002-5251-1799","contributorId":2389,"corporation":false,"usgs":true,"family":"Prosser","given":"Diann","email":"dprosser@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":717078,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Runstadler, Jonathan","contributorId":198758,"corporation":false,"usgs":false,"family":"Runstadler","given":"Jonathan","affiliations":[],"preferred":false,"id":717079,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Boyce, Walter M.","contributorId":75671,"corporation":false,"usgs":true,"family":"Boyce","given":"Walter","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":717080,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70194323,"text":"70194323 - 2017 - Taxonomic and compositional differences of ground-dwelling arthropods in riparian habitats in Glen Canyon, Arizona, USA","interactions":[],"lastModifiedDate":"2017-11-22T13:43:20","indexId":"70194323","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3746,"text":"Western North American Naturalist","onlineIssn":"1944-8341","printIssn":"1527-0904","active":true,"publicationSubtype":{"id":10}},"title":"Taxonomic and compositional differences of ground-dwelling arthropods in riparian habitats in Glen Canyon, Arizona, USA","docAbstract":"<p><span>The disturbance history, plant species composition, productivity, and structural complexity of a site can exert bottom-up controls on arthropod diversity, abundance, and trophic structure. Regulation alters the hydrology and disturbance regimes of rivers and affects riparian habitats by changing plant quality parameters. Fifty years of regulation along the Colorado River downstream of Glen Canyon Dam has created a no-analog, postdam “lower” riparian zone close to the water's edge that includes tamarisk (</span><i>Tamarix</i><span><span>&nbsp;</span>sp.), a nonnative riparian shrub. At the same time, the predam “upper” facultative riparian zone has persisted several meters above the current flood stage. In summer 2009, we used pitfall traps within these 2 riparian zones that differ in plant composition, productivity, and disturbance frequency to test for differences in arthropod community (Hymenoptera, Arachnida, and Coleoptera) structure. Arthropod community structure differed substantially between the 2 zones. Arthropod abundance and species richness was highest in the predam upper riparian zone, even though there was a greater amount of standing plant biomass in the postdam lower riparian zone. Omnivore abundance was proportionately greater in the upper riparian zone and was associated with lower estimated productivity values. Predators and detritivores were proportionately greater in the postdam lower riparian zone. In this case, river regulation may create habitats that support species of spiders and carabid beetles, but few other species that are exclusive to this zone. The combined richness found in both zones suggests a small increase in total richness and functional diversity for the Glen Canyon reach of the Colorado River.</span></p>","language":"English","publisher":"Monte L. Bean Life Science Museum, Brigham Young University","doi":"10.3398/064.077.0309","usgsCitation":"Ralston, B., Cobb, N.S., Brantley, S.L., Higgins, J., and Yackulic, C.B., 2017, Taxonomic and compositional differences of ground-dwelling arthropods in riparian habitats in Glen Canyon, Arizona, USA: Western North American Naturalist, v. 77, no. 3, p. 369-384, https://doi.org/10.3398/064.077.0309.","productDescription":"16 p.","startPage":"369","endPage":"384","ipdsId":"IP-026020","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":488818,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://scholarsarchive.byu.edu/wnan/vol77/iss3/8","text":"External Repository"},{"id":438202,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7154FH8","text":"USGS data release","linkHelpText":"Ground-dwelling arthropods along the Colorado River in Arizona, USAData"},{"id":349285,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Glen Canyon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -114.08203125,\n              35.65729624809628\n            ],\n            [\n              -111.3134765625,\n              35.65729624809628\n            ],\n            [\n              -111.3134765625,\n              36.98500309285596\n            ],\n            [\n              -114.08203125,\n              36.98500309285596\n            ],\n            [\n              -114.08203125,\n              35.65729624809628\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"77","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fb3ae4b06e28e9c22e14","contributors":{"authors":[{"text":"Ralston, Barbara 0000-0001-9991-8994 bralston@usgs.gov","orcid":"https://orcid.org/0000-0001-9991-8994","contributorId":195797,"corporation":false,"usgs":true,"family":"Ralston","given":"Barbara","email":"bralston@usgs.gov","affiliations":[{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":723301,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cobb, Neil S.","contributorId":200776,"corporation":false,"usgs":false,"family":"Cobb","given":"Neil","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":723303,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brantley, Sandra L.","contributorId":200777,"corporation":false,"usgs":false,"family":"Brantley","given":"Sandra","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":723304,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Higgins, Jacob","contributorId":200775,"corporation":false,"usgs":false,"family":"Higgins","given":"Jacob","email":"","affiliations":[],"preferred":false,"id":723302,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yackulic, Charles B. 0000-0001-9661-0724 cyackulic@usgs.gov","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":4662,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","email":"cyackulic@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":723305,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70193030,"text":"70193030 - 2017 - Prey partitioning and use of insects by juvenile sockeye salmon and a potential competitor, threespine stickleback, in Afognak Lake, Alaska","interactions":[],"lastModifiedDate":"2017-11-07T11:18:10","indexId":"70193030","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","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":"Prey partitioning and use of insects by juvenile sockeye salmon and a potential competitor, threespine stickleback, in Afognak Lake, Alaska","docAbstract":"<p><span>Freshwater growth of juvenile sockeye salmon (</span><i>Oncorhynchus nerka</i><span>) depends upon the quality and quantity of prey and interactions with potential competitors in the foraging environment. To a large extent, knowledge about the ecology of lake-rearing juvenile sockeye salmon has emerged from studies of commercially important runs returning to deep nursery lakes, yet information from shallow nursery lakes (mean depth&nbsp;≤&nbsp;10&nbsp;m) is limited. We examined seasonal and ontogenetic variation in diets of juvenile sockeye salmon (</span><i>N</i><span>&nbsp;=&nbsp;219, 30–85&nbsp;mm) and an abundant potential competitor, threespine stickleback (</span><i>Gasterosteus aculeatus</i><span>;</span><i><span>&nbsp;</span>N</i><span>&nbsp;=&nbsp;198, 42–67&nbsp;mm), to understand their foraging ecology and potential trophic interactions in a shallow Alaska lake. This study revealed that adult insects made up 74% of all sockeye salmon diets by weight and were present in 98% of all stomachs in Afognak Lake during the summer of 2013. Diets varied temporally for all fishes, but small sockeye salmon (&lt;60&nbsp;mm) showed a distinct shift in consumption from zooplankton in early summer to adult insects in late summer. We found significant differences in diet composition between sockeye salmon and threespine stickleback and the origin of their prey indicated that they also separated their use of habitat on a fine scale; however, the two species showed overlap in size selectivity of zooplankton prey. Considering that aquatic insects can be a primary resource for juvenile sockeye salmon in Afognak Lake, we encourage the development of nursery lake carrying capacity models that include aquatic insects as a prey source for sockeye salmon.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/eff.12302","usgsCitation":"Richardson, N., Beaudreau, A.H., Wipfli, M.S., and Finkle, H., 2017, Prey partitioning and use of insects by juvenile sockeye salmon and a potential competitor, threespine stickleback, in Afognak Lake, Alaska: Ecology of Freshwater Fish, v. 26, no. 4, p. 586-601, https://doi.org/10.1111/eff.12302.","productDescription":"16 p.","startPage":"586","endPage":"601","ipdsId":"IP-077021","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":348357,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Afognak Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -152.9894256591797,\n              58.08677049395305\n            ],\n            [\n              -152.85261154174805,\n              58.08677049395305\n            ],\n            [\n              -152.85261154174805,\n              58.13682719052186\n            ],\n            [\n              -152.9894256591797,\n              58.13682719052186\n            ],\n            [\n              -152.9894256591797,\n              58.08677049395305\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"26","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-25","publicationStatus":"PW","scienceBaseUri":"5a07e873e4b09af898c8cb6e","contributors":{"authors":[{"text":"Richardson, Natura","contributorId":198967,"corporation":false,"usgs":false,"family":"Richardson","given":"Natura","email":"","affiliations":[],"preferred":false,"id":717710,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beaudreau, Anne H.","contributorId":198968,"corporation":false,"usgs":false,"family":"Beaudreau","given":"Anne","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":717711,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wipfli, Mark S. 0000-0002-4856-6068 mwipfli@usgs.gov","orcid":"https://orcid.org/0000-0002-4856-6068","contributorId":1425,"corporation":false,"usgs":true,"family":"Wipfli","given":"Mark","email":"mwipfli@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":717709,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Finkle, Heather","contributorId":198969,"corporation":false,"usgs":false,"family":"Finkle","given":"Heather","email":"","affiliations":[],"preferred":false,"id":717712,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70191913,"text":"70191913 - 2017 - Challenges and solutions for applying the travel cost demand model to geographically remote visitor destinations: A case study of bear viewing at Katmai National Park and Preserve","interactions":[],"lastModifiedDate":"2017-10-19T13:08:10","indexId":"70191913","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1909,"text":"Human Dimensions of Wildlife","active":true,"publicationSubtype":{"id":10}},"title":"Challenges and solutions for applying the travel cost demand model to geographically remote visitor destinations: A case study of bear viewing at Katmai National Park and Preserve","docAbstract":"<p><span>Remote and unique destinations present difficulties when attempting to construct traditional travel cost models to value recreation demand. The biggest limitation comes from the lack of variation in the dependent variable, defined as the number of trips taken over a set time frame. There are various approaches that can be used for overcoming limitations of the traditional travel cost model in the context of remote destinations. This study applies an adaptation of the standard model to estimate recreation benefits of bear viewing at Katmai National Park and Preserve in Alaska, which represents a once-in-a-lifetime experience for many visitors. Results demonstrate that visitors to this park’s Brooks Camp area are willing to pay an average of US$287 per day of bear viewing. Implications of these findings for valuing recreation at other remote destinations are discussed.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/10871209.2017.1369196","usgsCitation":"Richardson, L., Huber, C., and Loomis, J.B., 2017, Challenges and solutions for applying the travel cost demand model to geographically remote visitor destinations: A case study of bear viewing at Katmai National Park and Preserve: Human Dimensions of Wildlife, v. 22, no. 6, p. 550-563, https://doi.org/10.1080/10871209.2017.1369196.","productDescription":"14 p.","startPage":"550","endPage":"563","ipdsId":"IP-078280","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":346969,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Katmai National Park and Preserve","volume":"22","issue":"6","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-15","publicationStatus":"PW","scienceBaseUri":"59e9b993e4b05fe04cd65c60","contributors":{"authors":[{"text":"Richardson, Leslie","contributorId":197525,"corporation":false,"usgs":false,"family":"Richardson","given":"Leslie","affiliations":[],"preferred":false,"id":713669,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Huber, Christopher 0000-0001-8446-8134 chuber@usgs.gov","orcid":"https://orcid.org/0000-0001-8446-8134","contributorId":127600,"corporation":false,"usgs":true,"family":"Huber","given":"Christopher","email":"chuber@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":713668,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Loomis, John B.","contributorId":197268,"corporation":false,"usgs":false,"family":"Loomis","given":"John","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":713670,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70192134,"text":"70192134 - 2017 - Climate impacts on agricultural land use in the USA: the role of socio-economic scenarios","interactions":[],"lastModifiedDate":"2017-10-23T14:40:19","indexId":"70192134","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1252,"text":"Climatic Change","active":true,"publicationSubtype":{"id":10}},"title":"Climate impacts on agricultural land use in the USA: the role of socio-economic scenarios","docAbstract":"<p><span>We examine the impacts of climate on net returns from crop and livestock production and the resulting impact on land-use change across the contiguous USA. We first estimate an econometric model to project effects of weather fluctuations on crop and livestock net returns and then use a semi-reduced form land-use share model to study agricultural land-use changes under future climate and socio-economic scenarios. Estimation results show that crop net returns are more sensitive to thermal and less sensitive to moisture variability than livestock net returns; other agricultural land uses substitute cropland use when 30-year averaged degree-days or precipitation are not beneficial for crop production. Under future climate and socio-economic scenarios, we project that crop and livestock net returns are both increasing, but with crop net returns increasing at a higher rate; cropland increases with declines of marginal and pastureland by the end of the twenty-first century. Projections also show that impacts of future climate on agricultural land uses are substantially different and a larger variation of land-use change is evident when socio-economic scenarios are incorporated into the climate impact analysis.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10584-017-2033-x","usgsCitation":"Mu, J.E., Sleeter, B.M., Abatzoglou, J.T., and Antle, J.M., 2017, Climate impacts on agricultural land use in the USA: the role of socio-economic scenarios: Climatic Change, v. 144, no. 2, p. 329-345, https://doi.org/10.1007/s10584-017-2033-x.","productDescription":"17 p.","startPage":"329","endPage":"345","ipdsId":"IP-088868","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":469477,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10584-017-2033-x","text":"Publisher Index 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 \"}}]}\n\n\n","volume":"144","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-09","publicationStatus":"PW","scienceBaseUri":"59eeffa4e4b0220bbd988f6d","contributors":{"authors":[{"text":"Mu, Jianhong E.","contributorId":75840,"corporation":false,"usgs":true,"family":"Mu","given":"Jianhong","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":714358,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sleeter, Benjamin M. 0000-0003-2371-9571 bsleeter@usgs.gov","orcid":"https://orcid.org/0000-0003-2371-9571","contributorId":3479,"corporation":false,"usgs":true,"family":"Sleeter","given":"Benjamin","email":"bsleeter@usgs.gov","middleInitial":"M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":714357,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Abatzoglou, John T.","contributorId":191729,"corporation":false,"usgs":false,"family":"Abatzoglou","given":"John","email":"","middleInitial":"T.","affiliations":[{"id":33345,"text":" University of Idaho","active":true,"usgs":false}],"preferred":false,"id":714359,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Antle, John M.","contributorId":197804,"corporation":false,"usgs":false,"family":"Antle","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":714360,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70194101,"text":"70194101 - 2017 - 3-D simulations of M9 earthquakes on the Cascadia Megathrust: Key parameters and uncertainty","interactions":[],"lastModifiedDate":"2018-02-02T09:51:28","indexId":"70194101","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":18,"text":"Abstract or summary"},"title":"3-D simulations of M9 earthquakes on the Cascadia Megathrust: Key parameters and uncertainty","docAbstract":"<p><span>Geologic and historical records indicate that the Cascadia subduction zone is capable of generating large, megathrust earthquakes up to magnitude 9. The last great Cascadia earthquake occurred in 1700, and thus there is no direct measure on the intensity of ground shaking or specific rupture parameters from seismic recordings. We use 3-D numerical simulations to generate broadband (0-10 Hz) synthetic seismograms for 50 M9 rupture scenarios on the Cascadia megathrust. Slip consists of multiple high-stress drop subevents (~M8) with short rise times on the deeper portion of the fault, superimposed on a background slip distribution with longer rise times. We find a &gt;4x variation in the intensity of ground shaking depending upon several key parameters, including the down-dip limit of rupture, the slip distribution and location of strong-motion-generating subevents, and the hypocenter location. We find that extending the down-dip limit of rupture to the top of the non-volcanic tremor zone results in a ~2-3x increase in peak ground acceleration for the inland city of Seattle, Washington, compared to a completely offshore rupture. However, our simulations show that allowing the rupture to extend to the up-dip limit of tremor (i.e., the deepest rupture extent in the National Seismic Hazard Maps), even when tapering the slip to zero at the down-dip edge, results in multiple areas of coseismic coastal uplift. This is inconsistent with coastal geologic evidence (e.g., buried soils, submerged forests), which suggests predominantly coastal subsidence for the 1700 earthquake and previous events. Defining the down-dip limit of rupture as the 1 cm/yr locking contour (i.e., mostly offshore) results in primarily coseismic subsidence at coastal sites. We also find that the presence of deep subevents can produce along-strike variations in subsidence and ground shaking along the coast. Our results demonstrate the wide range of possible ground motions from an M9 megathrust earthquake in Cascadia, and the potential to further constrain key rupture parameters using geologic and geophysical observations, ultimately improving our estimation of seismic hazard associated with the Cascadia megathrust.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 11th National Conference in Earthquake Engineering","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Proceedings of the 11th National Conference in Earthquake Engineering","doi":"10.1130/abs/2017AM-300968","usgsCitation":"Wirth, E., Frankel, A.D., Vidale, J., Marafi, N.A., and Stephenson, W.J., 2017, 3-D simulations of M9 earthquakes on the Cascadia Megathrust: Key parameters and uncertainty, <i>in</i> Proceedings of the 11th National Conference in Earthquake Engineering, v. 49, no. 6, https://doi.org/10.1130/abs/2017AM-300968.","ipdsId":"IP-092455","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":350910,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"49","issue":"6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a743586e4b0a9a2e9e25cab","contributors":{"authors":[{"text":"Wirth, Erin","contributorId":171734,"corporation":false,"usgs":false,"family":"Wirth","given":"Erin","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":722104,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Frankel, Arthur D. 0000-0001-9119-6106 afrankel@usgs.gov","orcid":"https://orcid.org/0000-0001-9119-6106","contributorId":146285,"corporation":false,"usgs":true,"family":"Frankel","given":"Arthur","email":"afrankel@usgs.gov","middleInitial":"D.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":722105,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vidale, John","contributorId":194843,"corporation":false,"usgs":false,"family":"Vidale","given":"John","affiliations":[],"preferred":false,"id":722106,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Marafi, Nasser A.","contributorId":197874,"corporation":false,"usgs":false,"family":"Marafi","given":"Nasser","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":722108,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stephenson, William J. 0000-0001-8699-0786 wstephens@usgs.gov","orcid":"https://orcid.org/0000-0001-8699-0786","contributorId":695,"corporation":false,"usgs":true,"family":"Stephenson","given":"William","email":"wstephens@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":722107,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70194544,"text":"70194544 - 2017 - Transmission routes maintaining a viral pathogen of steelhead trout within a complex multi-host assemblage","interactions":[],"lastModifiedDate":"2017-12-05T11:03:32","indexId":"70194544","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Transmission routes maintaining a viral pathogen of steelhead trout within a complex multi-host assemblage","docAbstract":"<p><span>This is the first comprehensive region wide, spatially explicit epidemiologic analysis of surveillance data of the aquatic viral pathogen infectious hematopoietic necrosis virus (IHNV) infecting native salmonid fish. The pathogen has been documented in the freshwater ecosystem of the Pacific Northwest of North America since the 1950s, and the current report describes the disease ecology of IHNV during 2000–2012. Prevalence of IHNV infection in monitored salmonid host cohorts ranged from 8% to 30%, with the highest levels observed in juvenile steelhead trout. The spatial distribution of all IHNV-infected cohorts was concentrated in two sub-regions of the study area, where historic burden of the viral disease has been high. During the study period, prevalence levels fluctuated with a temporal peak in 2002. Virologic and genetic surveillance data were analyzed for evidence of three separate but not mutually exclusive transmission routes hypothesized to be maintaining IHNV in the freshwater ecosystem. Transmission between year classes of juvenile fish at individual sites (route 1) was supported at varying levels of certainty in 10%–55% of candidate cases, transmission between neighboring juvenile cohorts (route 2) was supported in 31%–78% of candidate cases, and transmission from adult fish returning to the same site as an infected juvenile cohort was supported in 26%–74% of candidate cases. The results of this study indicate that multiple specific transmission routes are acting to maintain IHNV in juvenile fish, providing concrete evidence that can be used to improve resource management. Furthermore, these results demonstrate that more sophisticated analysis of available spatio-temporal and genetic data is likely to yield greater insight in future studies.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.3276","usgsCitation":"Breyta, R., Brito, I.L., Ferguson, P., Kurath, G., Naish, K.A., Purcell, M.K., Wargo, A.R., and LaDeau, S.L., 2017, Transmission routes maintaining a viral pathogen of steelhead trout within a complex multi-host assemblage: Ecology and Evolution, v. 7, no. 20, p. 8187-8200, https://doi.org/10.1002/ece3.3276.","productDescription":"14 p.","startPage":"8187","endPage":"8200","ipdsId":"IP-084983","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":469484,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.3276","text":"Publisher Index 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,{"id":70191792,"text":"70191792 - 2017 - Shifts in an invasive rodent community favoring black rats (Rattus rattus) following restoration of native forest","interactions":[],"lastModifiedDate":"2018-01-08T14:37:38","indexId":"70191792","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Shifts in an invasive rodent community favoring Black rats (<i>Rattus rattus</i>) following restoration of native forest","title":"Shifts in an invasive rodent community favoring black rats (Rattus rattus) following restoration of native forest","docAbstract":"<p><span>One potential, unintended ecological consequence accompanying forest restoration is a shift in invasive animal populations, potentially impacting conservation targets. Eighteen years after initial restoration (ungulate exclusion, invasive plant control, and out planting native species) at a 4 ha site on Maui, Hawai'i, we compared invasive rodent communities in a restored native dry forest and adjacent non-native grassland. Quarterly for 1 year, we trapped rodents on three replicate transects (107 rodent traps) in each habitat type for three consecutive nights. While repeated trapping may have reduced the rat (Black rat,&nbsp;</span><i>Rattus rattus</i><span>) population in the forest, it did not appear to reduce the mouse (House mouse,<span>&nbsp;</span></span><i>Mus musculus</i><span>) population in the grassland. In unrestored grassland, mouse captures outnumbered rat captures 220:1, with mice averaging 54.9 indiv./night versus rats averaging 0.25 indiv./night. In contrast, in restored native forest, rat captures outnumbered mouse captures by nearly 5:1, averaging 9.0 indiv./night versus 1.9 indiv./night for mice. Therefore, relatively recent native forest restoration increased Black rat abundance and also increased their total biomass in the restored ecosystem 36-fold while reducing House mouse biomass 35-fold. Such a community shift is worrisome because Black rats pose a much greater threat than do mice to native birds and plants, perhaps especially to large-seeded tree species. Land managers should be aware that forest restoration (i.e. converting grassland to native forest) can invoke shifts in invasive rodent populations, potentially favoring Black rats. Without intervention, this shift may pose risks for intended conservation targets and modify future forest restoration trajectories.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/rec.12494","usgsCitation":"Shiels, A.B., Medeiros, A.C., and von Allmen, E.I., 2017, Shifts in an invasive rodent community favoring black rats (Rattus rattus) following restoration of native forest: Restoration Ecology, v. 25, no. 5, p. 759-767, https://doi.org/10.1111/rec.12494.","productDescription":"9 p.","startPage":"759","endPage":"767","ipdsId":"IP-080123","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":347244,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"25","issue":"5","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-29","publicationStatus":"PW","scienceBaseUri":"59f05120e4b0220bbd9a1d81","contributors":{"authors":[{"text":"Shiels, Aaron B.","contributorId":197336,"corporation":false,"usgs":false,"family":"Shiels","given":"Aaron","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":713204,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Medeiros, Arthur C. 0000-0002-8090-8451 amedeiros@usgs.gov","orcid":"https://orcid.org/0000-0002-8090-8451","contributorId":2152,"corporation":false,"usgs":true,"family":"Medeiros","given":"Arthur","email":"amedeiros@usgs.gov","middleInitial":"C.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":713203,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"von Allmen, Erica I.","contributorId":197337,"corporation":false,"usgs":false,"family":"von Allmen","given":"Erica","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":713205,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70194310,"text":"70194310 - 2017 - Harvesting wildlife affected by climate change: a modelling and management approach for polar bears","interactions":[],"lastModifiedDate":"2017-11-22T11:41:08","indexId":"70194310","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Harvesting wildlife affected by climate change: a modelling and management approach for polar bears","docAbstract":"<ol id=\"jpe12864-list-0001\" class=\"o-list--numbered o-list--paragraph\"><li>The conservation of many wildlife species requires understanding the demographic effects of climate change, including interactions between climate change and harvest, which can provide cultural, nutritional or economic value to humans.</li><li>We present a demographic model that is based on the polar bear<span>&nbsp;</span><i>Ursus maritimus</i><span>&nbsp;</span>life cycle and includes density-dependent relationships linking vital rates to environmental carrying capacity (<i>K</i>). Using this model, we develop a state-dependent management framework to calculate a harvest level that (i) maintains a population above its maximum net productivity level (MNPL; the population size that produces the greatest net increment in abundance) relative to a changing<span>&nbsp;</span><i>K</i>, and (ii) has a limited negative effect on population persistence.</li><li>Our density-dependent relationships suggest that MNPL for polar bears occurs at approximately 0·69 (95% CI&nbsp;=&nbsp;0·63–0·74) of<span>&nbsp;</span><i>K</i>. Population growth rate at MNPL was approximately 0·82 (95% CI&nbsp;=&nbsp;0·79–0·84) of the maximum intrinsic growth rate, suggesting relatively strong compensation for human-caused mortality.</li><li>Our findings indicate that it is possible to minimize the demographic risks of harvest under climate change, including the risk that harvest will accelerate population declines driven by loss of the polar bear's sea-ice habitat. This requires that (i) the harvest rate – which could be 0 in some situations – accounts for a population's intrinsic growth rate, (ii) the harvest rate accounts for the quality of population data (e.g. lower harvest when uncertainty is large), and (iii) the harvest level is obtained by multiplying the harvest rate by an updated estimate of population size. Environmental variability, the sex and age of removed animals and risk tolerance can also affect the harvest rate.</li><li><i>Synthesis and applications</i>. We present a coupled modelling and management approach for wildlife that accounts for climate change and can be used to balance trade-offs among multiple conservation goals. In our example application to polar bears experiencing sea-ice loss, the goals are to maintain population viability while providing continued opportunities for subsistence harvest. Our approach may be relevant to other species for which near-term management is focused on human factors that directly influence population dynamics within the broader context of climate-induced habitat degradation.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2664.12864","usgsCitation":"Regehr, E.V., Wilson, R.H., Rode, K.D., Runge, M.C., and Stern, H., 2017, Harvesting wildlife affected by climate change: a modelling and management approach for polar bears: Journal of Applied Ecology, v. 54, no. 5, p. 1534-1543, https://doi.org/10.1111/1365-2664.12864.","productDescription":"10 p.","startPage":"1534","endPage":"1543","ipdsId":"IP-076053","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":469471,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2664.12864","text":"Publisher Index Page"},{"id":349269,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"54","issue":"5","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-08","publicationStatus":"PW","scienceBaseUri":"5a60fb3ae4b06e28e9c22e17","contributors":{"authors":[{"text":"Regehr, Eric V. 0000-0003-4487-3105","orcid":"https://orcid.org/0000-0003-4487-3105","contributorId":66364,"corporation":false,"usgs":false,"family":"Regehr","given":"Eric","email":"","middleInitial":"V.","affiliations":[{"id":12428,"text":"U. S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":723217,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilson, Ryan H. 0000-0001-7740-7771","orcid":"https://orcid.org/0000-0001-7740-7771","contributorId":130989,"corporation":false,"usgs":false,"family":"Wilson","given":"Ryan","email":"","middleInitial":"H.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":723218,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rode, Karyn D. 0000-0002-3328-8202 krode@usgs.gov","orcid":"https://orcid.org/0000-0002-3328-8202","contributorId":5053,"corporation":false,"usgs":true,"family":"Rode","given":"Karyn","email":"krode@usgs.gov","middleInitial":"D.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":723216,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":723219,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stern, Harry","contributorId":192065,"corporation":false,"usgs":false,"family":"Stern","given":"Harry","email":"","affiliations":[],"preferred":false,"id":723290,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70192030,"text":"70192030 - 2017 - Is the impact of eutrophication on phytoplankton diversity dependent on lake volume/ecosystem size?","interactions":[],"lastModifiedDate":"2017-10-24T16:40:06","indexId":"70192030","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5530,"text":"Journal of Limnology","onlineIssn":"1723-8633","active":true,"publicationSubtype":{"id":10}},"title":"Is the impact of eutrophication on phytoplankton diversity dependent on lake volume/ecosystem size?","docAbstract":"<p><span>Research focusing on biodiversity responses to the interactions of ecosystem size and anthropogenic stressors are based mainly on correlative gradient studies, and may therefore confound size-stress relationships due to spatial context and differences in local habitat features across ecosystems. We investigated how local factors related to anthropogenic stressors (</span><i>e.g.,</i><span>eutrophication) interact with ecosystem size to influence species diversity. In this study, constructed lake mesocosms (with two contrasting volumes: 1020 (shallow mesocosms) and 2150 (deep mesocosms) litres) were used to simulate ecosystems of different size and manipulated nutrient levels to simulate mesotrophic and hypertrophic conditions. Using a factorial design, we assessed how the interaction between ecosystem size and nutrients influences phytoplankton diversity. We assessed community metrics (richness, diversity, evenness and total biovolumes) and multivariate community structure over a growing season (May to early November 2011). Different community structures were found between deep and shallow mescosoms with nutrient enrichment: Cyanobacteria dominated in the deep and Charophyta in the shallow mesocosms. In contrast, phytoplankton communities were more similar to each other in the low nutrient treatments; only Chlorophyta had generally a higher biovolume in the shallow compared to the deep mesocosms. These results suggest that ecosystem size is not only a determinant of species diversity, but that it can mediate the influence of anthropogenic effects on biodiversity. Such interactions increase the uncertainty of global change outcomes, and should therefore not be ignored in risk/impact assessment and management.</span></p>","language":"English","publisher":"PAGEPress","doi":"10.4081/jlimnol.2016.1562","usgsCitation":"Baho, D.L., Drakare, S., Johnson, R.K., Allen, C.R., and Angeler, D., 2017, Is the impact of eutrophication on phytoplankton diversity dependent on lake volume/ecosystem size?: Journal of Limnology, v. 76, no. 1, p. 199-210, https://doi.org/10.4081/jlimnol.2016.1562.","productDescription":"12 p.","startPage":"199","endPage":"210","ipdsId":"IP-081134","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":482059,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.4081/jlimnol.2016.1562","text":"Publisher Index Page"},{"id":347295,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"76","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-01","publicationStatus":"PW","scienceBaseUri":"59f05120e4b0220bbd9a1d7f","contributors":{"authors":[{"text":"Baho, Didier L.","contributorId":166724,"corporation":false,"usgs":false,"family":"Baho","given":"Didier","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":715479,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Drakare, Stina","contributorId":166738,"corporation":false,"usgs":false,"family":"Drakare","given":"Stina","email":"","affiliations":[],"preferred":false,"id":715480,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Richard K.","contributorId":21810,"corporation":false,"usgs":true,"family":"Johnson","given":"Richard","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":715481,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Allen, Craig R. 0000-0001-8655-8272 allencr@usgs.gov","orcid":"https://orcid.org/0000-0001-8655-8272","contributorId":1979,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"allencr@usgs.gov","middleInitial":"R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":713886,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Angeler, David G.","contributorId":25027,"corporation":false,"usgs":true,"family":"Angeler","given":"David G.","affiliations":[],"preferred":false,"id":715482,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70192048,"text":"70192048 - 2017 - Capturing change: the duality of time-lapse imagery to acquire data and depict ecological dynamics","interactions":[],"lastModifiedDate":"2017-10-25T15:24:39","indexId":"70192048","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1468,"text":"Ecology and Society","active":true,"publicationSubtype":{"id":10}},"title":"Capturing change: the duality of time-lapse imagery to acquire data and depict ecological dynamics","docAbstract":"<p><span>We investigate the scientific and communicative value of time-lapse imagery by exploring applications for data collection and visualization. Time-lapse imagery has a myriad of possible applications to study and depict ecosystems and can operate at unique temporal and spatial scales to bridge the gap between large-scale satellite imagery projects and observational field research. Time-lapse data sequences, linking time-lapse imagery with data visualization, have the ability to make data come alive for a wider audience by connecting abstract numbers to images that root data in time and place. Utilizing imagery from the Platte Basin Timelapse Project, water inundation and vegetation phenology metrics are quantified via image analysis and then paired with passive monitoring data, including streamflow and water chemistry. Dynamic and interactive time-lapse data sequences elucidate the visible and invisible ecological dynamics of a significantly altered yet internationally important river system in central Nebraska.</span></p>","language":"English","publisher":"Ecology and Society","doi":"10.5751/ES-09268-220330","usgsCitation":"Brinley Buckley, E.M., Allen, C.R., Forsberg, M., Farrell, M., and Caven, A.J., 2017, Capturing change: the duality of time-lapse imagery to acquire data and depict ecological dynamics: Ecology and Society, v. 22, no. 3, p. 1-12, https://doi.org/10.5751/ES-09268-220330.","productDescription":"Article 30; 12 p.","startPage":"1","endPage":"12","ipdsId":"IP-087649","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":469475,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5751/es-09268-220330","text":"Publisher Index Page"},{"id":347403,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nebraska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -100.5413818359375,\n              40.57015381856105\n            ],\n            [\n              -97.998046875,\n              40.57015381856105\n            ],\n            [\n              -97.998046875,\n              41.08556197870254\n            ],\n            [\n              -100.5413818359375,\n              41.08556197870254\n            ],\n            [\n              -100.5413818359375,\n              40.57015381856105\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"22","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59f1a2a4e4b0220bbd9d9f38","contributors":{"authors":[{"text":"Brinley Buckley, Emma M.","contributorId":198370,"corporation":false,"usgs":false,"family":"Brinley Buckley","given":"Emma","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":715855,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allen, Craig R. 0000-0001-8655-8272 allencr@usgs.gov","orcid":"https://orcid.org/0000-0001-8655-8272","contributorId":1979,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"allencr@usgs.gov","middleInitial":"R.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":714007,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Forsberg, Michael","contributorId":198371,"corporation":false,"usgs":false,"family":"Forsberg","given":"Michael","email":"","affiliations":[],"preferred":false,"id":715856,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Farrell, Michael","contributorId":198372,"corporation":false,"usgs":false,"family":"Farrell","given":"Michael","email":"","affiliations":[],"preferred":false,"id":715857,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Caven, Andrew J.","contributorId":177586,"corporation":false,"usgs":false,"family":"Caven","given":"Andrew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":715858,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
]}