{"pageNumber":"931","pageRowStart":"23250","pageSize":"25","recordCount":184617,"records":[{"id":70193410,"text":"70193410 - 2017 - Mediterranean California’s water use future under multiple scenarios of developed and agricultural land use change","interactions":[],"lastModifiedDate":"2017-11-13T11:02:58","indexId":"70193410","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Mediterranean California’s water use future under multiple scenarios of developed and agricultural land use change","docAbstract":"<p><span>With growing demand and highly variable inter-annual water supplies, California’s water use future is fraught with uncertainty. Climate change projections, anticipated population growth, and continued agricultural intensification, will likely stress existing water supplies in coming decades. Using a state-and-transition simulation modeling approach, we examine a broad suite of spatially explicit future land use scenarios and their associated county-level water use demand out to 2062. We examined a range of potential water demand futures sampled from a 20-year record of historical (1992–2012) data to develop a suite of potential future land change scenarios, including low/high change scenarios for urbanization and agriculture as well as “lowest of the low” and “highest of the high” anthropogenic use. Future water demand decreased 8.3 billion cubic meters (Bm</span><sup>3</sup><span>) in the lowest of the low scenario and decreased 0.8 Bm</span><sup>3</sup><span><span>&nbsp;</span>in the low agriculture scenario. The greatest increased water demand was projected for the highest of the high land use scenario (+9.4 Bm</span><sup>3</sup><span>), high agricultural expansion (+4.6 Bm</span><sup>3</sup><span>), and high urbanization (+2.1 Bm</span><sup>3</sup><span>) scenarios. Overall, these scenarios show agricultural land use decisions will likely drive future demand more than increasing municipal and industrial uses, yet improved efficiencies across all sectors could lead to potential water use savings. Results provide water managers with information on diverging land use and water use futures, based on historical, observed land change trends and water use histories.</span></p>","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0187181","usgsCitation":"Wilson, T., Sleeter, B.M., and Cameron, D.R., 2017, Mediterranean California’s water use future under multiple scenarios of developed and agricultural land use change: PLoS ONE, v. 12, no. 10, p. 1-21, https://doi.org/10.1371/journal.pone.0187181.","productDescription":"e0187181; 21 p.","startPage":"1","endPage":"21","ipdsId":"IP-085977","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":469373,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0187181","text":"Publisher Index 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Richard","contributorId":168996,"corporation":false,"usgs":false,"family":"Cameron","given":"D.","email":"","middleInitial":"Richard","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":718940,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70193284,"text":"70193284 - 2017 - High altitude flights by ruddy shelduck Tadorna ferruginea during trans-Himalayan migrations","interactions":[],"lastModifiedDate":"2017-11-01T16:41:04","indexId":"70193284","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2190,"text":"Journal of Avian Biology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"High altitude flights by ruddy shelduck <i>Tadorna ferruginea</i> during trans-Himalayan migrations","title":"High altitude flights by ruddy shelduck Tadorna ferruginea during trans-Himalayan migrations","docAbstract":"<p><span>Birds that migrate across high altitude mountain ranges are faced with the challenge of maintaining vigorous exercise in environments with limited oxygen. Ruddy shelducks are known to use wintering grounds south of the Tibetan Plateau at sea level and breeding grounds north of Himalayan mountain range. Therefore, it is likely these shelducks are preforming high altitude migrations. In this study we analyse satellite telemetry data collected from 15 ruddy shelduck from two populations wintering south of the Tibetan Plateau from 2007 to 2011. During north and south migrations ruddy shelduck travelled 1481 km (range 548–2671 km) and 1238 km (range 548–2689 km) respectively. We find mean maximum altitudes of birds in flight reached 5590 m (range of means 4755–6800 m) and mean maximum climb rates of 0.45 m s</span><sup>–1</sup><span><span>&nbsp;</span>(range 0.23–0.74 m s</span><sup>–1</sup><span>). The ruddy shelduck is therefore an extreme high altitude migrant that has likely evolved a range of physiological adaptations in order to complete their migrations.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/jav.01443","usgsCitation":"Parr, N., Bearhop, S., Douglas, D.C., Takekawa, J., Prosser, D.J., Newman, S., Perry, W., Balachandran, S., Witt, M., Hou, Y., Lu, Z., and Hawkes, L., 2017, High altitude flights by ruddy shelduck Tadorna ferruginea during trans-Himalayan migrations: Journal of Avian Biology, v. 48, no. 10, p. 1310-1315, https://doi.org/10.1111/jav.01443.","productDescription":"6 p.","startPage":"1310","endPage":"1315","ipdsId":"IP-080832","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":469368,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/10871/31703","text":"External Repository"},{"id":348054,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China, India, Mongolia, Myanmar, Nepal","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              80,\n              15\n            ],\n            [\n              102,\n              15\n            ],\n            [\n              102,\n              50\n            ],\n            [\n              80,\n              50\n            ],\n            [\n              80,\n              15\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"48","issue":"10","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59fadd1de4b0531197b13c62","contributors":{"authors":[{"text":"Parr, N.","contributorId":199268,"corporation":false,"usgs":false,"family":"Parr","given":"N.","email":"","affiliations":[],"preferred":false,"id":718531,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bearhop, S.","contributorId":199269,"corporation":false,"usgs":false,"family":"Bearhop","given":"S.","email":"","affiliations":[],"preferred":false,"id":718532,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Douglas, David C. 0000-0003-0186-1104 ddouglas@usgs.gov","orcid":"https://orcid.org/0000-0003-0186-1104","contributorId":2388,"corporation":false,"usgs":true,"family":"Douglas","given":"David","email":"ddouglas@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":718530,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Takekawa, J.Y.","contributorId":199270,"corporation":false,"usgs":false,"family":"Takekawa","given":"J.Y.","email":"","affiliations":[],"preferred":false,"id":718533,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":718534,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Newman, S.H.","contributorId":199271,"corporation":false,"usgs":false,"family":"Newman","given":"S.H.","email":"","affiliations":[],"preferred":false,"id":718535,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Perry, W.M.","contributorId":199272,"corporation":false,"usgs":false,"family":"Perry","given":"W.M.","email":"","affiliations":[],"preferred":false,"id":718536,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Balachandran, S.","contributorId":199273,"corporation":false,"usgs":false,"family":"Balachandran","given":"S.","affiliations":[],"preferred":false,"id":718537,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Witt, M.J.","contributorId":199274,"corporation":false,"usgs":false,"family":"Witt","given":"M.J.","email":"","affiliations":[],"preferred":false,"id":718538,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hou, Y.","contributorId":199275,"corporation":false,"usgs":false,"family":"Hou","given":"Y.","email":"","affiliations":[],"preferred":false,"id":718539,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Lu, Z.","contributorId":199276,"corporation":false,"usgs":false,"family":"Lu","given":"Z.","affiliations":[],"preferred":false,"id":718540,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Hawkes, L.A.","contributorId":199277,"corporation":false,"usgs":false,"family":"Hawkes","given":"L.A.","email":"","affiliations":[],"preferred":false,"id":718541,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70192774,"text":"70192774 - 2017 - Osmoregulation and muscle water control in vitro facing salinity stress of the Amazon fish Oscar Astronotus ocellatus (Cichlidae)","interactions":[],"lastModifiedDate":"2017-11-17T11:13:04","indexId":"70192774","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3900,"text":"Marine and Freshwater Behaviour and Physiology","active":true,"publicationSubtype":{"id":10}},"title":"Osmoregulation and muscle water control in vitro facing salinity stress of the Amazon fish Oscar Astronotus ocellatus (Cichlidae)","docAbstract":"<p><span>Specimens of Oscar&nbsp;</span><i>Astronotus ocellatus</i><span><span>&nbsp;</span>from a fish farm were abruptly submitted to salt stress of 14 ppt and 20 ppt, for 3 and 8&nbsp;h to determine their plasma osmolality. Muscle wet body mass change<span>&nbsp;</span></span><i>in vitro</i><span><span>&nbsp;</span>was analyzed from control freshwater animals. Fish in 14 ppt presented no osmolality distress even after 8&nbsp;h. In 20 ppt, a slight increase (10%) in plasma osmolality was observed for both times of exposure when compared to control fish. Muscle slices submitted<span>&nbsp;</span></span><i>in vitro</i><span><span>&nbsp;</span>to hyper-osmotic saline displayed decreased body mass after 75&nbsp;min, and slices submitted to hypo-osmotic saline displayed increased body mass after 45&nbsp;min when compared to control (isosmotic saline). These results reinforce<span>&nbsp;</span></span><i>A. ocellatus</i><span>’s euryhalinity. The fish were able to regulate its internal medium and tolerate 14 ppt, but presented an intense osmotic challenge and low muscle hydration control when facing salinities of 20 ppt.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/10236244.2017.1387480","usgsCitation":"Gutierre, S.M., Schulte, J., Schofield, P.J., and Prodocimo, V., 2017, Osmoregulation and muscle water control in vitro facing salinity stress of the Amazon fish Oscar Astronotus ocellatus (Cichlidae): Marine and Freshwater Behaviour and Physiology, v. 50, no. 4, p. 303-311, https://doi.org/10.1080/10236244.2017.1387480.","productDescription":"9 p.","startPage":"303","endPage":"311","ipdsId":"IP-083604","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":438168,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F77P8WK3","text":"USGS data release","linkHelpText":"Osmoregulatory capacity and muscle water control facing salinity stress of the Amazon fish Astronotus ocellatus (Cichlidae)"},{"id":349058,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"50","issue":"4","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-17","publicationStatus":"PW","scienceBaseUri":"5a60fb22e4b06e28e9c22d26","contributors":{"authors":[{"text":"Gutierre, Silvia M. M. 0000-0003-1905-3535","orcid":"https://orcid.org/0000-0003-1905-3535","contributorId":198700,"corporation":false,"usgs":false,"family":"Gutierre","given":"Silvia","email":"","middleInitial":"M. M.","affiliations":[],"preferred":false,"id":716881,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schulte, Jessica M.","contributorId":198701,"corporation":false,"usgs":false,"family":"Schulte","given":"Jessica M.","affiliations":[],"preferred":false,"id":716882,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schofield, Pamela J. 0000-0002-8752-2797 pschofield@usgs.gov","orcid":"https://orcid.org/0000-0002-8752-2797","contributorId":168659,"corporation":false,"usgs":true,"family":"Schofield","given":"Pamela","email":"pschofield@usgs.gov","middleInitial":"J.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":716880,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Prodocimo, Viviane","contributorId":172504,"corporation":false,"usgs":false,"family":"Prodocimo","given":"Viviane","email":"","affiliations":[{"id":27057,"text":"Setor de Ciencias Biologicas, Universidade Federal do Parana, Brazil","active":true,"usgs":false}],"preferred":false,"id":716883,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70193738,"text":"70193738 - 2017 - Skin and fur bacterial diversity and community structure on American southwestern bats: effects of habitat, geography and bat traits","interactions":[],"lastModifiedDate":"2017-11-06T10:46:44","indexId":"70193738","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3840,"text":"PeerJ","active":true,"publicationSubtype":{"id":10}},"title":"Skin and fur bacterial diversity and community structure on American southwestern bats: effects of habitat, geography and bat traits","docAbstract":"<p><span>Microorganisms that reside on and in mammals, such as bats, have the potential to influence their host’s health and to provide defenses against invading pathogens. However, we have little understanding of the skin and fur bacterial microbiota on bats, or factors that influence the structure of these communities. The southwestern United States offers excellent sites for the study of external bat bacterial microbiota due to the diversity of bat species, the variety of abiotic and biotic factors that may govern bat bacterial microbiota communities, and the lack of the newly emergent fungal disease in bats, white-nose syndrome (WNS), in the southwest. To test these variables, we used 16S rRNA gene 454 pyrosequencing from swabs of external skin and fur surfaces from 163 bats from 13 species sampled from southeastern New Mexico to northwestern Arizona. Community similarity patterns, random forest models, and generalized linear mixed-effects models show that factors such as location (e.g., cave-caught versus surface-netted) and ecoregion are major contributors to the structure of bacterial communities on bats. Bats caught in caves had a distinct microbial community compared to those that were netted on the surface. Our results provide a first insight into the distribution of skin and fur bat bacteria in the WNS-free environment of New Mexico and Arizona. More importantly, it provides a baseline of bat external microbiota that can be explored for potential natural defenses against pathogens.</span></p>","language":"English","publisher":"PeerJ","doi":"10.7717/peerj.3944","usgsCitation":"Winter, A.S., Hathaway, J., Kimble, J.C., Buecher, D.C., Valdez, E.W., Porras-Alfaro, A., Young, J.M., Read, K.J., and Northup, D.E., 2017, Skin and fur bacterial diversity and community structure on American southwestern bats: effects of habitat, geography and bat traits: PeerJ, v. 5, e3944, https://doi.org/10.7717/peerj.3944.","productDescription":"e3944","ipdsId":"IP-080221","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":461365,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.7717/peerj.3944","text":"Publisher Index Page"},{"id":348247,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-27","publicationStatus":"PW","scienceBaseUri":"5a07e84be4b09af898c8cb3e","contributors":{"authors":[{"text":"Winter, Ara S.","contributorId":199826,"corporation":false,"usgs":false,"family":"Winter","given":"Ara","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":720125,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hathaway, Jennifer J. M.","contributorId":199829,"corporation":false,"usgs":false,"family":"Hathaway","given":"Jennifer J. M.","affiliations":[],"preferred":false,"id":720129,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kimble, Jason C.","contributorId":199827,"corporation":false,"usgs":false,"family":"Kimble","given":"Jason","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":720126,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Buecher, Debbie C.","contributorId":193657,"corporation":false,"usgs":false,"family":"Buecher","given":"Debbie","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":720128,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Valdez, Ernest W. 0000-0002-7262-3069 ernie@usgs.gov","orcid":"https://orcid.org/0000-0002-7262-3069","contributorId":3600,"corporation":false,"usgs":true,"family":"Valdez","given":"Ernest","email":"ernie@usgs.gov","middleInitial":"W.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":720124,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Porras-Alfaro, Andrea","contributorId":193660,"corporation":false,"usgs":false,"family":"Porras-Alfaro","given":"Andrea","email":"","affiliations":[],"preferred":false,"id":720130,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Young, Jesse M.","contributorId":199828,"corporation":false,"usgs":false,"family":"Young","given":"Jesse","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":720127,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Read, Kaitlyn J. H.","contributorId":199830,"corporation":false,"usgs":false,"family":"Read","given":"Kaitlyn","email":"","middleInitial":"J. H.","affiliations":[],"preferred":false,"id":720131,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Northup, Diana E.","contributorId":193656,"corporation":false,"usgs":false,"family":"Northup","given":"Diana","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":720132,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70192922,"text":"70192922 - 2017 - Top-down and bottom-up interactions influence fledging success at North America’s largest colony of Caspian terns (Hydroprogne caspia)","interactions":[],"lastModifiedDate":"2017-11-07T13:15:27","indexId":"70192922","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Top-down and bottom-up interactions influence fledging success at North America’s largest colony of Caspian terns (<i>Hydroprogne caspia</i>)","title":"Top-down and bottom-up interactions influence fledging success at North America’s largest colony of Caspian terns (Hydroprogne caspia)","docAbstract":"<p><span>Our study investigated the influence of bottom-up and top-down drivers on the declining fledging success at a once thriving breeding colony of Caspian terns (</span><i class=\"EmphasisTypeItalic \">Hydroprogne caspia</i><span>). Situated at the mouth of the Columbia River, OR, East Sand Island (ESI) is home to the largest Caspian tern breeding colony in North America. Since 2001, the decline in fledging success of Caspian terns at ESI has been associated with a significant increase in average river discharge during May and June. During the years 2001–2011, the abundance of forage fish available to terns in the estuary was inversely related to river discharge. This relationship also apparently affected the reliance of nest predators on the tern colony as a food source, resulting in increased disturbance and decreased fledging success at the tern colony in years of higher river discharge. There was a significant longitudinal increase in disturbance rates by bald eagles (</span><i class=\"EmphasisTypeItalic \">Haliaeetus leucocephalus</i><span>) during June for terns nesting at the ESI colony, and eagle disturbance rates were positively associated with May river discharge. We also found a significant increase in kleptoparasitism rates of terns by hybrid glaucous-winged/western gulls (</span><i class=\"EmphasisTypeItalic \">Larus glaucescens</i><span><span>&nbsp;</span>x<span>&nbsp;</span></span><i class=\"EmphasisTypeItalic \">Larus occidentalis</i><span>) since 2001, and Caspian tern fledging success at ESI decreased with increasing average annual rates of gull kleptoparasitism. Our results support the hypothesis that the decline in Caspian tern fledging success at this large estuarine colony was primarily driven by the interaction of bottom-up and top-down factors, influencing tern fledging success through the food supply and triggering potential predators to identify the tern breeding colony as an alternative source of prey.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s12237-017-0238-x","usgsCitation":"Collar, S., Roby, D.D., and Lyons, D., 2017, Top-down and bottom-up interactions influence fledging success at North America’s largest colony of Caspian terns (Hydroprogne caspia): Estuaries and Coasts, v. 40, no. 6, p. 1808-1818, https://doi.org/10.1007/s12237-017-0238-x.","productDescription":"11 p.","startPage":"1808","endPage":"1818","ipdsId":"IP-072336","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":469357,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s12237-017-0238-x","text":"Publisher Index Page"},{"id":348387,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"East Sand Island ","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.99744987487793,\n              46.25985257538575\n            ],\n            [\n              -123.96148681640625,\n              46.25985257538575\n            ],\n            [\n              -123.96148681640625,\n              46.26640951616916\n            ],\n            [\n              -123.99744987487793,\n              46.26640951616916\n            ],\n            [\n              -123.99744987487793,\n              46.25985257538575\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"40","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-25","publicationStatus":"PW","scienceBaseUri":"5a07e84ce4b09af898c8cb44","contributors":{"authors":[{"text":"Collar, Stefanie","contributorId":200094,"corporation":false,"usgs":false,"family":"Collar","given":"Stefanie","email":"","affiliations":[],"preferred":false,"id":720956,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roby, Daniel D. 0000-0001-9844-0992 droby@usgs.gov","orcid":"https://orcid.org/0000-0001-9844-0992","contributorId":3702,"corporation":false,"usgs":true,"family":"Roby","given":"Daniel","email":"droby@usgs.gov","middleInitial":"D.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":717359,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lyons, Donald E.","contributorId":20119,"corporation":false,"usgs":true,"family":"Lyons","given":"Donald E.","affiliations":[],"preferred":false,"id":720957,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70194652,"text":"70194652 - 2017 - Inference of timber harvest effects on survival of stream amphibians is complicated by movement","interactions":[],"lastModifiedDate":"2017-12-08T13:47:12","indexId":"70194652","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1337,"text":"Copeia","active":true,"publicationSubtype":{"id":10}},"title":"Inference of timber harvest effects on survival of stream amphibians is complicated by movement","docAbstract":"<p><span>The effects of contemporary logging practices on headwater stream amphibians have received considerable study but with conflicting or ambiguous results. We posit that focusing inference on demographic rates of aquatic life stages may help refine understanding, as aquatic and terrestrial impacts may differ considerably. We investigated in-stream survival and movement of two stream-breeding amphibian species within a before-after timber harvest experiment in the Oregon Coast Range. We used recaptures of marked individuals and a joint probability model of survival, movement, and capture probability, to measure variation in these rates attributed to stream reach, stream gradient, pre- and post-harvest periods, and the timber harvest intensity. Downstream biased movement occurred in both species but was greater for Coastal Tailed Frog (</span><i>Ascaphus truei</i><span>) larvae than aquatic Coastal Giant Salamanders (</span><i>Dicamptodon tenebrosus</i><span>). For<span>&nbsp;</span></span><i>D. tenebrosus</i><span>, downstream biased movement occurred early in life, soon after an individual's first summer. Increasing timber harvest intensity reduced downstream movement bias and reduced survival of<span>&nbsp;</span></span><i>D. tenebrosus</i><span>, but neither of these effects were detected for larvae of<span>&nbsp;</span></span><i>A. truei</i><span>. Our findings provide insight into the demographic mechanisms underlying previous nuanced studies of amphibian responses to timber harvest based on biomass or counts of larvae.</span></p>","language":"English","publisher":"The American Society of Ichthyologists and Herpetologists","doi":"10.1643/CE-16-573","usgsCitation":"Chelgren, N., and Adams, M.J., 2017, Inference of timber harvest effects on survival of stream amphibians is complicated by movement: Copeia, v. 105, no. 4, p. 714-727, https://doi.org/10.1643/CE-16-573.","productDescription":"14 p.","startPage":"714","endPage":"727","ipdsId":"IP-085521","costCenters":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"links":[{"id":349897,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"105","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fb21e4b06e28e9c22cf3","contributors":{"authors":[{"text":"Chelgren, Nathan 0000-0003-0944-9165 nchelgren@usgs.gov","orcid":"https://orcid.org/0000-0003-0944-9165","contributorId":3134,"corporation":false,"usgs":true,"family":"Chelgren","given":"Nathan","email":"nchelgren@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":724765,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Adams, M. J. 0000-0001-8844-042X mjadams@usgs.gov","orcid":"https://orcid.org/0000-0001-8844-042X","contributorId":3133,"corporation":false,"usgs":false,"family":"Adams","given":"M.","email":"mjadams@usgs.gov","middleInitial":"J.","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},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":724764,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70194654,"text":"70194654 - 2017 - Changes in movements of Chinook Salmon between lakes Huron and Michigan after Alewife population collapse","interactions":[],"lastModifiedDate":"2017-12-11T10:33:34","indexId":"70194654","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Changes in movements of Chinook Salmon between lakes Huron and Michigan after Alewife population collapse","docAbstract":"<p><span>Alewives&nbsp;</span><i>Alosa pseudoharengus</i><span><span>&nbsp;</span>are the preferred food of Chinook Salmon<span>&nbsp;</span></span><i>Oncorhynchus tshawytscha</i><span><span>&nbsp;</span>in the Laurentian Great Lakes. Alewife populations collapsed in Lake Huron in 2003 but remained comparatively abundant in Lake Michigan. We analyzed capture locations of coded-wire-tagged Chinook Salmon before, during, and after Alewife collapse (1993–2014). We contrasted the pattern of tag recoveries for Chinook Salmon released at the Swan River in northern Lake Huron and Medusa Creek in northern Lake Michigan. We examined patterns during April–July, when Chinook Salmon were primarily occupied by feeding, and August–October, when the salmon were primarily occupied by spawning. We found evidence that Swan River fish shifted their feeding location from Lake Huron to Lake Michigan after the collapse. Over years, proportions of Swan River Chinook Salmon captured in Lake Michigan increased in correspondence with the Alewife decline in Lake Huron. Mean proportions of Swan River fish captured in Lake Michigan were 0.13 (SD = 0.14) before collapse (1993–1997) and 0.82 (SD = 0.22) after collapse (2008–2014) and were significantly different. In contrast, proportions of Medusa Creek fish captured in Lake Michigan did not change; means were 0.98 (SD = 0.05) before collapse and 0.99 (SD = 0.01) after collapse. The mean distance to the center of the coastal distribution of Swan River fish during April–July shifted 357 km (SD = 169) from central Lake Huron before collapse to central Lake Michigan after collapse. The coastal distributions during August–October were centered on the respective sites of origin, suggesting that Chinook Salmon returned to release sites to spawn regardless of their feeding locations. Regarding the impact on Alewife populations, this shift in interlake movement would be equivalent to increasing the Chinook Salmon stocking rate within Lake Michigan by 30%. The primary management implication is that interlake coordination of Chinook Salmon stocking policies would be expected to benefit the recreational fishery.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02755947.2017.1378778","usgsCitation":"Clark, R.D., Bence, J., Claramunt, R.M., Clevenger, J.A., Kornis, M.S., Bronte, C.R., Madenjian, C.P., and Roseman, E.F., 2017, Changes in movements of Chinook Salmon between lakes Huron and Michigan after Alewife population collapse: North American Journal of Fisheries Management, v. 37, no. 6, p. 1311-1331, https://doi.org/10.1080/02755947.2017.1378778.","productDescription":"21 p.","startPage":"1311","endPage":"1331","ipdsId":"IP-090528","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":349900,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Lake Huron, Lake Michigan","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -87.64892578125,\n              41.86956082699455\n            ],\n            [\n              -81.9580078125,\n              41.86956082699455\n            ],\n            [\n              -81.9580078125,\n              46.118941506107056\n            ],\n            [\n              -87.64892578125,\n              46.118941506107056\n            ],\n            [\n              -87.64892578125,\n              41.86956082699455\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"37","issue":"6","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-01","publicationStatus":"PW","scienceBaseUri":"5a60fb20e4b06e28e9c22cf0","contributors":{"authors":[{"text":"Clark, Richard D.","contributorId":201250,"corporation":false,"usgs":false,"family":"Clark","given":"Richard","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":724772,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bence, James R.","contributorId":95026,"corporation":false,"usgs":false,"family":"Bence","given":"James R.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":724773,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Claramunt, Randall M.","contributorId":190497,"corporation":false,"usgs":false,"family":"Claramunt","given":"Randall","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":724774,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Clevenger, John A.","contributorId":201251,"corporation":false,"usgs":false,"family":"Clevenger","given":"John","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":724775,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kornis, Matthew S.","contributorId":201252,"corporation":false,"usgs":false,"family":"Kornis","given":"Matthew","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":724776,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bronte, Charles R.","contributorId":190727,"corporation":false,"usgs":false,"family":"Bronte","given":"Charles","email":"","middleInitial":"R.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":724777,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Madenjian, Charles P. 0000-0002-0326-164X cmadenjian@usgs.gov","orcid":"https://orcid.org/0000-0002-0326-164X","contributorId":2200,"corporation":false,"usgs":true,"family":"Madenjian","given":"Charles","email":"cmadenjian@usgs.gov","middleInitial":"P.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":724771,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Roseman, Edward F. 0000-0002-5315-9838 eroseman@usgs.gov","orcid":"https://orcid.org/0000-0002-5315-9838","contributorId":168428,"corporation":false,"usgs":true,"family":"Roseman","given":"Edward","email":"eroseman@usgs.gov","middleInitial":"F.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":724778,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70193353,"text":"70193353 - 2017 - Characteristics and 40Ar/39Ar geochronology of the Erdenet Cu-Mo deposit, Mongolia","interactions":[],"lastModifiedDate":"2017-11-01T11:26:25","indexId":"70193353","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1472,"text":"Economic Geology","active":true,"publicationSubtype":{"id":10}},"title":"Characteristics and 40Ar/39Ar geochronology of the Erdenet Cu-Mo deposit, Mongolia","docAbstract":"<p id=\"p-1\">The Early to Middle Triassic Erdenet porphyry Cu-Mo deposit, in northern Mongolia, developed in a continent-continent arc collision zone, within the Central Asian orogenic belt. The porphyry system is related to multiple intrusions of crystal-crowded biotite granodiorite porphyry, which formed a composite stock about 900 m in diameter, with multiple porphyritic microgranodiorite dikes. Wall rocks are Late Permian to Early Triassic, medium-grained granodiorite, with similar whole-rock geochemistry, mineralogy, and composition to the granodiorite porphyry. Whole-rock analysis of the granodiorite porphyry and wall rocks shows that these rocks cannot be discriminated, but both have depleted middle heavy rare earth elements and Y, typical of fertile porphyry magmatic suites.</p><p id=\"p-2\">At the current pit level (1,250 m elev), early porphyry-style quartz veins (A and B type) are locally infilled by pyrite-chalcopyrite, with subordinate bornite, but most of the chalcopyrite occurs in D veins that constitute more than 50% of the Cu grade (~0.5 wt % Cu). The 0.3 wt % Cu shell resembles a molar tooth, enveloping the granodiorite porphyry, with deeper roots extending down the wal-rock contacts. Molybdenite occurs in monomineralic veins, and in finely laminated to massive quartz-molybdenite veins.</p><p id=\"p-3\">The most important alteration is quartz-muscovite, which occurs as relatively coarse (100–500<span>&nbsp;</span><i>μ</i>m) alteration selvages (1–5 cm) that envelop D veins. The D veins cut illite ± kaolinite-smectite (or intermediate argillic) alteration. Intermediate argillic alteration, together with abundant pink anhydrite (commonly hydrated to gypsum), extends from at least 1,300- to 900-m elevation in the deepest drill holes, and has overprinted early potassic alteration, or relatively unaltered red granodiorite. Meter-wide zones of kaolinite cut the anhydrite-gypsum at all levels. There is an abrupt transition outward from the intermediate argillic alteration to chlorite-epidote (propylitic) alteration, at 50 to 200 m from the granodiorite porphyry contact, although D veins (and chalcopyrite) extend outward to the propylitic zone.</p><p id=\"p-4\">The Erdenet porphyry system, was overprinted by advanced argillic alteration, which outcrops 2 km northwest of the pit, and forms a lithocap that extends over 10 × 2.5 km. It is characterized by residual quartz, andalusite, Na-Ca and K-alunite, diaspore, pyrophyllite, zunyite, topaz, dickite, and kaolinite. The upper part of the porphyry Cu-Mo deposit (removed by mining), comprised a bornite-chalcocite enriched zone up to 300 m thick with an average grade of 0.7 wt % Cu and up to 5 wt % Cu locally. Based on hypogene bornite-chalcocite mineral textures and high-sulfidation state mineralogy, the enriched zone is inferred to be of hypogene origin, but modified by supergene processes. Consequently, it may be related to formation of the lithocap.</p><p id=\"p-5\">Previous Re-Os dates of 240.4 and 240.7 ± 0.8 Ma for molybdenite in quartz veins are comparable to new<span>&nbsp;</span><sup>40</sup>Ar/<sup>39</sup>Ar dates of 239.7 ± 1.6 and 240 ± 2 Ma for muscovite that envelops D veins. One<span>&nbsp;</span><sup>40</sup>Ar/<sup>39</sup>Ar date on K-alunite from the lithocap of 223.5 ± 1.9 Ma suggests that it may be about 16 m.y. younger than Erdenet, but this result needs to be verified by further dating.</p>","language":"English","publisher":"Society of Economic Geologists","doi":"10.5382/econgeo.2017.4500","usgsCitation":"Kavalieris, I., Khashgerel, B., Morgan, L.E., Undrakhtamir, A., and Borohul, A., 2017, Characteristics and 40Ar/39Ar geochronology of the Erdenet Cu-Mo deposit, Mongolia: Economic Geology, v. 112, no. 5, p. 1033-1053, https://doi.org/10.5382/econgeo.2017.4500.","productDescription":"21 p.","startPage":"1033","endPage":"1053","ipdsId":"IP-080784","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":438161,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F74J0C8H","text":"USGS data release","linkHelpText":"40Ar/39Ar data for: Characteristics and 40Ar/39Ar geochronology of the Erdenet Cu-Mo deposit, Mongolia"},{"id":347960,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"112","issue":"5","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-01","publicationStatus":"PW","scienceBaseUri":"59fadd1ce4b0531197b13c59","contributors":{"authors":[{"text":"Kavalieris, Imants","contributorId":199360,"corporation":false,"usgs":false,"family":"Kavalieris","given":"Imants","email":"","affiliations":[],"preferred":false,"id":718798,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Khashgerel, Bat-Erdene","contributorId":199361,"corporation":false,"usgs":false,"family":"Khashgerel","given":"Bat-Erdene","email":"","affiliations":[],"preferred":false,"id":718799,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morgan, Leah E. 0000-0001-9930-524X lemorgan@usgs.gov","orcid":"https://orcid.org/0000-0001-9930-524X","contributorId":176174,"corporation":false,"usgs":true,"family":"Morgan","given":"Leah","email":"lemorgan@usgs.gov","middleInitial":"E.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":718797,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Undrakhtamir, Alexander","contributorId":199362,"corporation":false,"usgs":false,"family":"Undrakhtamir","given":"Alexander","email":"","affiliations":[],"preferred":false,"id":718800,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Borohul, Adiya","contributorId":199363,"corporation":false,"usgs":false,"family":"Borohul","given":"Adiya","email":"","affiliations":[],"preferred":false,"id":718801,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70193355,"text":"70193355 - 2017 - Loss of ecosystem services due to chronic pollution of forests and surface waters in the Adirondack region (USA)","interactions":[],"lastModifiedDate":"2017-11-01T10:52:01","indexId":"70193355","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Loss of ecosystem services due to chronic pollution of forests and surface waters in the Adirondack region (USA)","docAbstract":"<p>Sustaining recent progress in mitigating acid pollution could require lower emissions caps that will give rise to real or perceived tradeoffs between healthy ecosystems and inexpensive energy. Because most impacts of acid rain affect ecosystem functions that are poorly understood by policy-makers and the public, an ecosystem services (ES) framework can help to measure how pollution affects human well-being. Focused on the Adirondack region (USA), a global ‘hot-spot’ of acid pollution, we measured how the chronic acidification of the region's forests, lakes, and streams has affected the potential economic and cultural benefits they provide to society. We estimated that acid-impaired hardwood forests provide roughly half of the potential benefits of forests on moderate to well-buffered soils – an estimated loss of ∼ $10,000 ha<sup>−1</sup> in net present value of wood products, maple syrup, carbon sequestration, and visual quality. Acidic deposition has had only nominal impact – relative to the effects of surficial geology and till depth – on the capacity of Adirondack lakes and streams to provide water suitable for drinking. However, as pH declines in lakes, the estimated value of recreational fishing decreases significantly due to loss of desirable fish such as trout. Hatchery stocking programs have partially offset the pollution-mediated losses of fishery value, most effectively in the pH range 4.8–5.5, but are costly and limited in scope. Although any estimates of the monetary ‘damages’ of acid rain have significant uncertainties, our findings highlight some of the more tangible economic and cultural benefits of pollution mitigation efforts, which continue to face litigation and political opposition.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2016.12.069","usgsCitation":"Beier, C.M., Caputo, J., Lawrence, G.B., and Sullivan, T.J., 2017, Loss of ecosystem services due to chronic pollution of forests and surface waters in the Adirondack region (USA): Journal of Environmental Management, v. 191, p. 19-27, https://doi.org/10.1016/j.jenvman.2016.12.069.","productDescription":"9 p.","startPage":"19","endPage":"27","ipdsId":"IP-082679","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":469355,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jenvman.2016.12.069","text":"Publisher Index 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,{"id":70193003,"text":"70193003 - 2017 - Methodological considerations regarding online extraction of water from soils for stable isotope determination","interactions":[],"lastModifiedDate":"2017-11-22T16:45:46","indexId":"70193003","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3233,"text":"Rapid Communications in Mass Spectrometry","active":true,"publicationSubtype":{"id":10}},"title":"Methodological considerations regarding online extraction of water from soils for stable isotope determination","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"Wiley","doi":"10.1002/rcm.7948","usgsCitation":"Lazarus, B.E., and Germino, M., 2017, Methodological considerations regarding online extraction of water from soils for stable isotope determination: Rapid Communications in Mass Spectrometry, v. 31, no. 19, p. 1677-1680, https://doi.org/10.1002/rcm.7948.","productDescription":"4 p.","startPage":"1677","endPage":"1680","ipdsId":"IP-084312","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":348046,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"19","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-07","publicationStatus":"PW","scienceBaseUri":"59fadd1ee4b0531197b13c69","contributors":{"authors":[{"text":"Lazarus, Brynne E. 0000-0002-6352-486X blazarus@usgs.gov","orcid":"https://orcid.org/0000-0002-6352-486X","contributorId":4901,"corporation":false,"usgs":true,"family":"Lazarus","given":"Brynne","email":"blazarus@usgs.gov","middleInitial":"E.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":717587,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Germino, Matthew J. 0000-0001-6326-7579 mgermino@usgs.gov","orcid":"https://orcid.org/0000-0001-6326-7579","contributorId":152582,"corporation":false,"usgs":true,"family":"Germino","given":"Matthew J.","email":"mgermino@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":717586,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70193363,"text":"70193363 - 2017 - Rapid exhumation of Cretaceous arc-rocks along the Blue Mountains restraining bend of the Enriquillo-Plantain Garden fault, Jamaica, using thermochronometry from multiple closure systems","interactions":[],"lastModifiedDate":"2017-11-29T16:12:53","indexId":"70193363","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3525,"text":"Tectonophysics","active":true,"publicationSubtype":{"id":10}},"title":"Rapid exhumation of Cretaceous arc-rocks along the Blue Mountains restraining bend of the Enriquillo-Plantain Garden fault, Jamaica, using thermochronometry from multiple closure systems","docAbstract":"The effect of rapid erosion on kinematic partitioning along transpressional plate margins is not well understood, particularly in highly erosive climates. The Blue Mountains restraining bend (BMRB) of eastern Jamaica, bound to the south by the left-lateral Enriquillo-Plantain Garden fault (EPGF), offers an opportunity to test the effects of highly erosive climatic conditions on a 30-km-wide restraining bend system. No previous thermochronometric data exists in Jamaica to describe the spatial or temporal pattern of rock uplift and how oblique (> 20°) plate motion is partitioned into vertical strain. To define the exhumation history, we measured apatite (n = 10) and zircon (n = 6) (U-Th)/He ages, 40Ar/39Ar (n = 2; amphibole and K-spar) ages, and U/Pb zircon (n = 2) crystallization ages. Late Cretaceous U/Pb and 40Ar/39Ar ages (74–68 Ma) indicate rapid cooling following shallow emplacement of plutons during north-south subduction along the Great Caribbean Arc. Early to middle Miocene zircon helium ages (19–14 Ma) along a vertical transect suggest exhumation and island emergence at ~ 0.2 mm/yr. Older zircon ages 10–15 km to the north (44–35 Ma) imply less rock uplift. Apatite helium ages are young (6–1 Ma) across the entire orogen, suggesting rapid exhumation of the BMRB since the late Miocene. These constraints are consistent with previous reports of restraining bend formation and early emergence of eastern Jamaica. An age-elevation relationship from a vertical transect implies an exhumation rate of 0.8 mm/yr, while calculated closure depths and thermal modeling suggests exhumation as rapid as 2 mm/yr. The rapid rock uplift rates in Jamaica are comparable to the most intense transpressive zones worldwide, despite the relatively slow (5–7 mm/yr) strike-slip rate. We hypothesize highly erosive conditions in Jamaica enable a higher fraction of plate motion to be accommodated by vertical deformation. Thus, strike-slip restraining bends may evolve differently depending on erosivity and local climate.","language":"English","publisher":"Elsevier","doi":"10.1016/j.tecto.2017.09.021","usgsCitation":"Cochran, W., Spotila, J.A., Prince, P.S., and McAleer, R., 2017, Rapid exhumation of Cretaceous arc-rocks along the Blue Mountains restraining bend of the Enriquillo-Plantain Garden fault, Jamaica, using thermochronometry from multiple closure systems: Tectonophysics, v. 721, p. 292-309, https://doi.org/10.1016/j.tecto.2017.09.021.","productDescription":"18 p.","startPage":"292","endPage":"309","ipdsId":"IP-087567","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":347957,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Jamaica","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-77.5696,18.49053],[-76.89662,18.40087],[-76.36536,18.1607],[-76.19966,17.88687],[-76.90256,17.86824],[-77.20634,17.70112],[-77.76602,17.8616],[-78.33772,18.22597],[-78.21773,18.45453],[-77.79736,18.52422],[-77.5696,18.49053]]]},\"properties\":{\"name\":\"Jamaica\"}}]}","volume":"721","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59fadd1be4b0531197b13c51","contributors":{"authors":[{"text":"Cochran, William J.","contributorId":199373,"corporation":false,"usgs":false,"family":"Cochran","given":"William J.","affiliations":[],"preferred":false,"id":718849,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Spotila, James A.","contributorId":199374,"corporation":false,"usgs":false,"family":"Spotila","given":"James","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":718850,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Prince, Philip S.","contributorId":199375,"corporation":false,"usgs":false,"family":"Prince","given":"Philip","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":718851,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McAleer, Ryan J. 0000-0003-3801-7441 rmcaleer@usgs.gov","orcid":"https://orcid.org/0000-0003-3801-7441","contributorId":5301,"corporation":false,"usgs":true,"family":"McAleer","given":"Ryan J.","email":"rmcaleer@usgs.gov","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":718848,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70192802,"text":"70192802 - 2017 - Candoia Bibroni (Pacific Boa). Diet","interactions":[],"lastModifiedDate":"2017-11-06T13:50:17","indexId":"70192802","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1898,"text":"Herpetological Review","active":true,"publicationSubtype":{"id":10}},"title":"Candoia Bibroni (Pacific Boa). Diet","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"Society for the Study of Amphibians and Reptiles","usgsCitation":"Clause, A.G., Fraser, M.J., Pene, S., Thomas-Moko, N., and Fisher, R.N., 2017, Candoia Bibroni (Pacific Boa). Diet: Herpetological Review, v. 48, no. 3, p. 667-668.","productDescription":"2 p.","startPage":"667","endPage":"668","ipdsId":"IP-084147","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":348282,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":347568,"type":{"id":15,"text":"Index Page"},"url":"https://ssarherps.org/herpetological-review-pdfs/"}],"volume":"48","issue":"3","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a07e84de4b09af898c8cb48","contributors":{"authors":[{"text":"Clause, Adam G.","contributorId":198734,"corporation":false,"usgs":false,"family":"Clause","given":"Adam","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":717001,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fraser, Mark J.","contributorId":198735,"corporation":false,"usgs":false,"family":"Fraser","given":"Mark","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":717002,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pene, Sarah","contributorId":198736,"corporation":false,"usgs":false,"family":"Pene","given":"Sarah","email":"","affiliations":[],"preferred":false,"id":717003,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thomas-Moko, Nunia","contributorId":198737,"corporation":false,"usgs":false,"family":"Thomas-Moko","given":"Nunia","email":"","affiliations":[],"preferred":false,"id":717004,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fisher, Robert N. 0000-0002-2956-3240 rfisher@usgs.gov","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":1529,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert","email":"rfisher@usgs.gov","middleInitial":"N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":717000,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70196881,"text":"70196881 - 2017 - Geologic road guides for the Southern Canadian Cordillera--Viewing geology and tectonics along major highways","interactions":[],"lastModifiedDate":"2018-06-13T10:29:11","indexId":"70196881","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Geologic road guides for the Southern Canadian Cordillera--Viewing geology and tectonics along major highways","docAbstract":"The Geologic Road Guides for the Southern Canadian Cordillera provide a layperson’s understanding of the major geologic units and their tectonic origins along portions of two sets of major highways corridors, herein termed the Southern Road Guide and the Northern Road Guide. The two routes are shown on the Southern Canadian Cordillera Geologic Map. The first page of each Road Guide is this map that has Hot Spots for each site.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Dynamic geology of the Northern Cordillera (Alaska and western Canada) and adjacent marine areas: Tectonics, hazards, and resources","language":"English","publisher":"University of Alaska, Fairbanks","usgsCitation":"Nokleberg, W.J., and Price, R.A., 2017, Geologic road guides for the Southern Canadian Cordillera--Viewing geology and tectonics along major highways, chap. <i>of</i> Dynamic geology of the Northern Cordillera (Alaska and western Canada) and adjacent marine areas: Tectonics, hazards, and resources, E-book.","productDescription":"E-book","ipdsId":"IP-073136","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":354959,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":354958,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://hdl.handle.net/11122/7994"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b46e64ee4b060350a15d280","contributors":{"editors":[{"text":"Bundtzen, Thomas K.","contributorId":192968,"corporation":false,"usgs":false,"family":"Bundtzen","given":"Thomas","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":737871,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Nokleberg, Warren J. 0000-0002-1574-8869 wnokleberg@usgs.gov","orcid":"https://orcid.org/0000-0002-1574-8869","contributorId":2077,"corporation":false,"usgs":true,"family":"Nokleberg","given":"Warren","email":"wnokleberg@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":737792,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Price, Raymond A.","contributorId":205543,"corporation":false,"usgs":false,"family":"Price","given":"Raymond","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":737793,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Scholl, David W. 0000-0001-6500-6962 dscholl@usgs.gov","orcid":"https://orcid.org/0000-0001-6500-6962","contributorId":3738,"corporation":false,"usgs":true,"family":"Scholl","given":"David","email":"dscholl@usgs.gov","middleInitial":"W.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":737872,"contributorType":{"id":2,"text":"Editors"},"rank":4},{"text":"Stone, David B.","contributorId":65324,"corporation":false,"usgs":true,"family":"Stone","given":"David B.","affiliations":[],"preferred":false,"id":737873,"contributorType":{"id":2,"text":"Editors"},"rank":5}],"authors":[{"text":"Nokleberg, Warren J. 0000-0002-1574-8869 wnokleberg@usgs.gov","orcid":"https://orcid.org/0000-0002-1574-8869","contributorId":2077,"corporation":false,"usgs":true,"family":"Nokleberg","given":"Warren","email":"wnokleberg@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":737869,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Price, Raymond A.","contributorId":205543,"corporation":false,"usgs":false,"family":"Price","given":"Raymond","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":737870,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
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,{"id":70192620,"text":"70192620 - 2017 - Basis function models for animal movement","interactions":[],"lastModifiedDate":"2017-11-10T11:12:34","indexId":"70192620","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2527,"text":"Journal of the American Statistical Association","active":true,"publicationSubtype":{"id":10}},"title":"Basis function models for animal movement","docAbstract":"<p><span>Advances in satellite-based data collection techniques have served as a catalyst for new statistical methodology to analyze these data. In wildlife ecological studies, satellite-based data and methodology have provided a wealth of information about animal space use and the investigation of individual-based animal–environment relationships. With the technology for data collection improving dramatically over time, we are left with massive archives of historical animal telemetry data of varying quality. While many contemporary statistical approaches for inferring movement behavior are specified in discrete time, we develop a flexible continuous-time stochastic integral equation framework that is amenable to reduced-rank second-order covariance parameterizations. We demonstrate how the associated first-order basis functions can be constructed to mimic behavioral characteristics in realistic trajectory processes using telemetry data from mule deer and mountain lion individuals in western North America. Our approach is parallelizable and provides inference for heterogenous trajectories using nonstationary spatial modeling techniques that are feasible for large telemetry datasets. Supplementary materials for this article are available online.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/01621459.2016.1246250","usgsCitation":"Hooten, M., and Johnson, D., 2017, Basis function models for animal movement: Journal of the American Statistical Association, v. 112, no. 518, p. 578-589, https://doi.org/10.1080/01621459.2016.1246250.","productDescription":"12 p.","startPage":"578","endPage":"589","ipdsId":"IP-072343","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":469371,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://figshare.com/articles/journal_contribution/Basis_Function_Models_for_Animal_Movement/4052175","text":"External Repository"},{"id":348569,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"112","issue":"518","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-13","publicationStatus":"PW","scienceBaseUri":"5a06c8c7e4b09af898c860ee","contributors":{"authors":[{"text":"Hooten, Mevin 0000-0002-1614-723X mhooten@usgs.gov","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":2958,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin","email":"mhooten@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":12963,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO","active":true,"usgs":false}],"preferred":true,"id":716569,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Devin S.","contributorId":47524,"corporation":false,"usgs":true,"family":"Johnson","given":"Devin S.","affiliations":[],"preferred":false,"id":716570,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70193779,"text":"70193779 - 2017 - Perspectives on chemical oceanography in the 21st century: Participants of the COME ABOARD Meeting examine aspects of the field in the context of 40 years of DISCO","interactions":[],"lastModifiedDate":"2017-11-06T10:56:13","indexId":"70193779","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2662,"text":"Marine Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Perspectives on chemical oceanography in the 21st century: Participants of the COME ABOARD Meeting examine aspects of the field in the context of 40 years of DISCO","docAbstract":"<p><span>The questions that chemical oceanographers prioritize over the coming decades, and the methods we use to address these questions, will define our field's contribution to 21st century science. In recognition of this, the U.S. National Science Foundation and National Oceanic and Atmospheric Administration galvanized a community effort (the Chemical Oceanography MEeting: A BOttom-up Approach to Research Directions, or COME ABOARD) to synthesize bottom-up perspectives on selected areas of research in Chemical Oceanography. Representing only a small subset of the community, COME ABOARD participants did not attempt to identify targeted research directions for the field. Instead, we focused on how best to foster diverse research in Chemical Oceanography, placing emphasis on the following themes: strengthening our core chemical skillset; expanding our tools through collaboration with chemists, engineers, and computer scientists; considering new roles for large programs; enhancing interface research through interdisciplinary collaboration; and expanding ocean literacy by engaging with the public. For each theme, COME ABOARD participants reflected on the present state of Chemical Oceanography, where the community hopes to go and why, and actionable pathways to get there. A unifying concept among the discussions was that dissimilar funding structures and metrics of success may be required to accommodate the various levels of readiness and stages of knowledge development found throughout our community. In addition to the science, participants of the concurrent Dissertations Symposium in Chemical Oceanography (DISCO) XXV, a meeting of recent and forthcoming Ph.D. graduates in Chemical Oceanography, provided perspectives on how our field could show leadership in addressing long-standing diversity and early-career challenges that are pervasive throughout science. Here we summarize the COME ABOARD Meeting discussions, providing a synthesis of reflections and perspectives on the field.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.marchem.2017.09.002","usgsCitation":"Fassbender, A.J., Palevsky, H.I., Martz, T.R., Ingalls, A.E., Gledhill, M., Fawcett, S.E., Brandes, J., Aluwihare, L., Anderson, R., Bender, S., Boyle, E., Bronk, D., Buesseler, K., Burdige, D.J., Casciotti, K., Close, H., Conte, M., Cutter, G., Estapa, M., Fennel, K., Ferron, S., Glazer, B., Goni, M., Grand, M., Guay, C., Hatta, M., Hayes, C., Horner, T., Ingall, E., Johnson, K.G., Juranek, L., Knapp, A., Lam, P., Luther, G., Matrai, P., Nicholson, D., Paytan, A., Pellenbarg, R., Popendorf, K., Reddy, C.M., Ruttenberg, K., Sabine, C., Sansone, F., Shaltout, N., Sikes, L., Sundquist, E.T., Valentine, D., Wang, Z., Wilson, S., Barrett, P., Behrens, M., Belcher, A., Biermann, L., Boiteau, R., Clarke, J., Collins, J., Coppola, A., Ebling, A.M., 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,{"id":70193280,"text":"70193280 - 2017 - Drivers and environmental responses to the changing annual snow cycle of northern Alaska","interactions":[],"lastModifiedDate":"2018-01-05T14:18:35","indexId":"70193280","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1112,"text":"Bulletin of the American Meteorological Society","onlineIssn":"1520-0477","printIssn":"0003-0007","active":true,"publicationSubtype":{"id":10}},"title":"Drivers and environmental responses to the changing annual snow cycle of northern Alaska","docAbstract":"<div class=\"abstractSection abstractInFull\"><p>On the North Slope of Alaska, earlier spring snowmelt and later onset of autumn snow accumulation are tied to atmospheric dynamics and sea ice conditions, and result in environmental responses.</p></div><div class=\"abstractSection abstractInFull\"><p>Linkages between atmospheric, ecological and biogeochemical variables in the changing Arctic are analyzed using long-term measurements near Utqiaġvik (formerly Barrow), Alaska. Two key variables are the date when snow disappears in spring, as determined primarily by atmospheric dynamics, precipitation, air temperature, winter snow accumulation and cloud cover, as well as the date of onset of snowpack in autumn that is additionally influenced by ocean temperature and sea ice extent. In 2015 and 2016 the snow melted early at Utqiaġvik due mainly to anomalous warmth during May of both years attributed to atmospheric circulation patterns, with 2016 having the record earliest snowmelt. These years are discussed in the context of a 115-year snowmelt record at Utqiaġvik with a trend toward earlier melting since the mid- 1970s (-2.86 days/decade, 1975-2016). At nearby Cooper Island, where a colony of seabirds, Black Guillemots, have been monitored since 1975, timing of egg laying is correlated with Utqiaġvik snowmelt with 2015 and 2016 being the earliest years in the 42-year record. Ice-out at a nearby freshwater lagoon is also correlated with Utqiaġvik snowmelt. The date when snow begins to accumulate in autumn at Utqiaġvik shows a trend towards later dates (+4.6 days/decade, 1975-2016), with 2016 the latest on record. The relationships between the lengthening snow-free season and regional phenology, soil temperatures, fluxes of gases from the tundra, and to regional sea ice conditions are discussed. Better understanding of these interactions is needed to predict the annual snow cycles in the region at seasonal to decadal scales, and to anticipate coupled environmental responses.</p></div>","language":"English","publisher":"American Meteorological Society","doi":"10.1175/BAMS-D-16-0201.1","usgsCitation":"Cox, C.J., Stone, R.S., Douglas, D.C., Stanitski, D., Divoky, G.J., Dutton, G.S., Sweeney, C., George, J.C., and Longenecker, D.U., 2017, Drivers and environmental responses to the changing annual snow cycle of northern Alaska: Bulletin of the American Meteorological Society, v. 98, p. 2559-2577, https://doi.org/10.1175/BAMS-D-16-0201.1.","productDescription":"29 p.","startPage":"2559","endPage":"2577","ipdsId":"IP-082498","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":348056,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -160.94970703125,\n              68.22052325573338\n            ],\n            [\n              -148.07373046875,\n              68.22052325573338\n            ],\n            [\n              -148.07373046875,\n              71.73266202440855\n            ],\n            [\n              -160.94970703125,\n              71.73266202440855\n            ],\n            [\n              -160.94970703125,\n              68.22052325573338\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"98","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59fadd1ee4b0531197b13c65","contributors":{"authors":[{"text":"Cox, Christopher J.","contributorId":199259,"corporation":false,"usgs":false,"family":"Cox","given":"Christopher","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":718516,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stone, Robert S.","contributorId":199260,"corporation":false,"usgs":false,"family":"Stone","given":"Robert","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":718517,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Douglas, David C. 0000-0003-0186-1104 ddouglas@usgs.gov","orcid":"https://orcid.org/0000-0003-0186-1104","contributorId":2388,"corporation":false,"usgs":true,"family":"Douglas","given":"David","email":"ddouglas@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":718515,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stanitski, Diane","contributorId":199261,"corporation":false,"usgs":false,"family":"Stanitski","given":"Diane","email":"","affiliations":[],"preferred":false,"id":718518,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Divoky, George J.","contributorId":100912,"corporation":false,"usgs":false,"family":"Divoky","given":"George","email":"","middleInitial":"J.","affiliations":[{"id":13117,"text":"Institute of Arctic Biology, University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":718519,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dutton, Geoff S.","contributorId":199262,"corporation":false,"usgs":false,"family":"Dutton","given":"Geoff","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":718520,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sweeney, Colm","contributorId":176387,"corporation":false,"usgs":false,"family":"Sweeney","given":"Colm","email":"","affiliations":[],"preferred":false,"id":718521,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"George, J. 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,{"id":70193180,"text":"70193180 - 2017 - Concepts: Assessing tiger population dynamics using capture–recapture sampling","interactions":[],"lastModifiedDate":"2017-12-21T09:46:04","indexId":"70193180","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Concepts: Assessing tiger population dynamics using capture–recapture sampling","docAbstract":"Capture-recapture can be viewed as an animal survey method in which the count statistic is the total number of animals caught, and the associated detection probability is the probability of capture.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Methods for monitoring tiger and prey populations","language":"English","publisher":"Springer","doi":"10.1007/978-981-10-5436-5_9","usgsCitation":"Royle, J., Gopalaswamy, A.M., Dorazio, R., Nichols, J., Jathanna, D., and Parameshwaran, R., 2017, Concepts: Assessing tiger population dynamics using capture–recapture sampling, chap. <i>of</i> Methods for monitoring tiger and prey populations, p. 163-189, https://doi.org/10.1007/978-981-10-5436-5_9.","productDescription":"27 p.","startPage":"163","endPage":"189","ipdsId":"IP-086080","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":349593,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-28","publicationStatus":"PW","scienceBaseUri":"5a60fb22e4b06e28e9c22d20","contributors":{"authors":[{"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":718129,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gopalaswamy, Arjun M.","contributorId":199394,"corporation":false,"usgs":false,"family":"Gopalaswamy","given":"Arjun","email":"","middleInitial":"M.","affiliations":[{"id":20302,"text":"Univeristy of Oxford","active":true,"usgs":false},{"id":35775,"text":"Indian Statistical Institute, Bangalore, India","active":true,"usgs":false}],"preferred":false,"id":718131,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dorazio, Robert 0000-0003-2663-0468 bob_dorazio@usgs.gov","orcid":"https://orcid.org/0000-0003-2663-0468","contributorId":172151,"corporation":false,"usgs":true,"family":"Dorazio","given":"Robert","email":"bob_dorazio@usgs.gov","affiliations":[{"id":5051,"text":"FLWSC-Orlando","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":718132,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nichols, James D. 0000-0002-7631-2890","orcid":"https://orcid.org/0000-0002-7631-2890","contributorId":199078,"corporation":false,"usgs":false,"family":"Nichols","given":"James D.","affiliations":[],"preferred":false,"id":718130,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jathanna, Devcharan","contributorId":74270,"corporation":false,"usgs":true,"family":"Jathanna","given":"Devcharan","email":"","affiliations":[],"preferred":false,"id":718133,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Parameshwaran, Ravishankar","contributorId":199081,"corporation":false,"usgs":false,"family":"Parameshwaran","given":"Ravishankar","email":"","affiliations":[],"preferred":false,"id":718134,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70193169,"text":"70193169 - 2017 - Environmental niche models for riverine desert fishes and their similarity according to phylogeny and functionality","interactions":[],"lastModifiedDate":"2017-11-20T15:26:00","indexId":"70193169","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Environmental niche models for riverine desert fishes and their similarity according to phylogeny and functionality","docAbstract":"<p><span>Environmental filtering and competitive exclusion are hypotheses frequently invoked in explaining species' environmental niches (i.e., geographic distributions). A key assumption in both hypotheses is that the functional niche (i.e., species traits) governs the environmental niche, but few studies have rigorously evaluated this assumption. Furthermore, phylogeny could be associated with these hypotheses if it is predictive of functional niche similarity via phylogenetic signal or convergent evolution, or of environmental niche similarity through phylogenetic attraction or repulsion. The objectives of this study were to investigate relationships between environmental niches, functional niches, and phylogenies of fishes of the Upper (UCRB) and Lower (LCRB) Colorado River Basins of southwestern North America. We predicted that functionally similar species would have similar environmental niches (i.e., environmental filtering) and that closely related species would be functionally similar (i.e., phylogenetic signal) and possess similar environmental niches (i.e., phylogenetic attraction). Environmental niches were quantified using environmental niche modeling, and functional similarity was determined using functional trait data. Nonnatives in the UCRB provided the only support for environmental filtering, which resulted from several warmwater nonnatives having dam number as a common predictor of their distributions, whereas several cool- and coldwater nonnatives shared mean annual air temperature as an important distributional predictor. Phylogenetic signal was supported for both natives and nonnatives in both basins. Lastly, phylogenetic attraction was only supported for native fishes in the LCRB and for nonnative fishes in the UCRB. Our results indicated that functional similarity was heavily influenced by evolutionary history, but that phylogenetic relationships and functional traits may not always predict the environmental distribution of species. However, the similarity of environmental niches among warmwater centrarchids, ictalurids, fundulids, and poeciliids in the UCRB indicated that dam removals could influence the distribution of these nonnatives simultaneously, thus providing greater conservation benefits. However, this same management strategy would have more limited effects on nonnative salmonids, catostomids, and percids with colder temperature preferences, thus necessitating other management strategies to control these species.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.1658","usgsCitation":"Whitney, J.E., Whittier, J.B., and Paukert, C.P., 2017, Environmental niche models for riverine desert fishes and their similarity according to phylogeny and functionality: Ecosphere, v. 8, no. 1, p. 1-21, https://doi.org/10.1002/ecs2.1658.","productDescription":"Article e01658; 21 p.","startPage":"1","endPage":"21","ipdsId":"IP-076772","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":469362,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1658","text":"Publisher Index Page"},{"id":349155,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Colorado River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -115,\n              30\n            ],\n            [\n              -105,\n              30\n            ],\n            [\n              -105,\n              43\n            ],\n            [\n              -115,\n              43\n            ],\n            [\n              -115,\n              30\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"8","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-06","publicationStatus":"PW","scienceBaseUri":"5a60fb22e4b06e28e9c22d23","contributors":{"authors":[{"text":"Whitney, James E.","contributorId":176500,"corporation":false,"usgs":false,"family":"Whitney","given":"James","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":722918,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Whittier, Joanna B.","contributorId":53151,"corporation":false,"usgs":false,"family":"Whittier","given":"Joanna","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":722919,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Paukert, Craig P. 0000-0002-9369-8545 cpaukert@usgs.gov","orcid":"https://orcid.org/0000-0002-9369-8545","contributorId":147821,"corporation":false,"usgs":true,"family":"Paukert","given":"Craig","email":"cpaukert@usgs.gov","middleInitial":"P.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":718117,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70191866,"text":"70191866 - 2017 - Otters, marine","interactions":[],"lastModifiedDate":"2018-02-15T11:10:13","indexId":"70191866","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Otters, marine","docAbstract":"<p>No abstract available.<br></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Encyclopedia of marine mammals","language":"English","publisher":"Academic Press","isbn":"9780128043813","usgsCitation":"Tinker, M.T., Bodkin, J.L., Ben-Davic, M., and Estes, J.A., 2017, Otters, marine, chap. <i>of</i> Encyclopedia of marine mammals.","ipdsId":"IP-079183","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":351654,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":346862,"type":{"id":15,"text":"Index Page"},"url":"https://www.elsevier.com/books/encyclopedia-of-marine-mammals/wursig/978-0-12-804327-1"}],"edition":"Third","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee7c7e4b0da30c1bfc376","contributors":{"authors":[{"text":"Tinker, M. Tim 0000-0002-3314-839X ttinker@usgs.gov","orcid":"https://orcid.org/0000-0002-3314-839X","contributorId":2796,"corporation":false,"usgs":true,"family":"Tinker","given":"M.","email":"ttinker@usgs.gov","middleInitial":"Tim","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":713453,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bodkin, James L. 0000-0003-1641-4438 jbodkin@usgs.gov","orcid":"https://orcid.org/0000-0003-1641-4438","contributorId":748,"corporation":false,"usgs":true,"family":"Bodkin","given":"James","email":"jbodkin@usgs.gov","middleInitial":"L.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":713454,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ben-Davic, M.","contributorId":197412,"corporation":false,"usgs":false,"family":"Ben-Davic","given":"M.","email":"","affiliations":[],"preferred":false,"id":713455,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Estes, J. A.","contributorId":53319,"corporation":false,"usgs":true,"family":"Estes","given":"J.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":713456,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70197123,"text":"70197123 - 2017 - The relative effectiveness of empirical and physical models for simulating the dense undercurrent of pyroclastic flows under different emplacement conditions","interactions":[],"lastModifiedDate":"2018-05-17T16:41:43","indexId":"70197123","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5232,"text":"Frontiers in Earth Science","onlineIssn":"2296-6463","active":true,"publicationSubtype":{"id":10}},"title":"The relative effectiveness of empirical and physical models for simulating the dense undercurrent of pyroclastic flows under different emplacement conditions","docAbstract":"<p><span>High concentration pyroclastic density currents (PDCs) are hot avalanches of volcanic rock and gas and are among the most destructive volcanic hazards due to their speed and mobility. Mitigating the risk associated with these flows depends upon accurate forecasting of possible impacted areas, often using empirical or physical models. TITAN2D, VolcFlow, LAHARZ, and Δ</span><i>H/L</i><span><span>&nbsp;</span>or energy cone models each employ different rheologies or empirical relationships and therefore differ in appropriateness of application for different types of mass flows and topographic environments. This work seeks to test different statistically- and physically-based models against a range of PDCs of different volumes, emplaced under different conditions, over different topography in order to test the relative effectiveness, operational aspects, and ultimately, the utility of each model for use in hazard assessments. The purpose of this work is not to rank models, but rather to understand the extent to which the different modeling approaches can replicate reality in certain conditions, and to explore the dynamics of PDCs themselves. In this work, these models are used to recreate the inundation areas of the dense-basal undercurrent of all 13 mapped, land-confined, Soufrière Hills Volcano dome-collapse PDCs emplaced from 1996 to 2010 to test the relative effectiveness of different computational models. Best-fit model results and their input parameters are compared with results using observation- and deposit-derived input parameters. Additional comparison is made between best-fit model results and those using empirically-derived input parameters from the FlowDat global database, which represent “forward” modeling simulations as would be completed for hazard assessment purposes. Results indicate that TITAN2D is able to reproduce inundated areas well using flux sources, although velocities are often unrealistically high. VolcFlow is also able to replicate flow runout well, but does not capture the lateral spreading in distal regions of larger-volume flows. Both models are better at reproducing the inundated area of single-pulse, valley-confined, smaller-volume flows than sustained, highly unsteady, larger-volume flows, which are often partially unchannelized. The simple rheological models of TITAN2D and VolcFlow are not able to recreate all features of these more complex flows. LAHARZ is fast to run and can give a rough approximation of inundation, but may not be appropriate for all PDCs and the designation of starting locations is difficult. The Δ</span><i>H/L</i><span><span>&nbsp;</span>cone model is also very quick to run and gives reasonable approximations of runout distance, but does not inherently model flow channelization or directionality and thus unrealistically covers all interfluves. Empirically-based models like LAHARZ and Δ</span><i>H/L</i><span><span>&nbsp;</span>cones can be quick, first-approximations of flow runout, provided a database of similar flows, e.g., FlowDat, is available to properly calculate coefficients or Δ</span><i>H/L</i><span>. For hazard assessment purposes, geophysical models like TITAN2D and VolcFlow can be useful for producing both scenario-based or probabilistic hazard maps, but must be run many times with varying input parameters. LAHARZ and Δ</span><i>H/L</i><span><span>&nbsp;</span>cones can be used to produce simple modeling-based hazard maps when run with a variety of input volumes, but do not explicitly consider the probability of occurrence of different volumes. For forward modeling purposes, the ability to derive potential input parameters from global or local databases is crucial, though important input parameters for VolcFlow cannot be empirically estimated. Not only does this work provide a useful comparison of the operational aspects and behavior of various models for hazard assessment, but it also enriches conceptual understanding of the dynamics of the PDCs themselves.</span></p>","language":"English","publisher":"Frontiers","doi":"10.3389/feart.2017.00083","usgsCitation":"Ogburn, S.E., and Calder, E.S., 2017, The relative effectiveness of empirical and physical models for simulating the dense undercurrent of pyroclastic flows under different emplacement conditions: Frontiers in Earth Science, v. 5, p. 1-26, https://doi.org/10.3389/feart.2017.00083.","productDescription":"Article 83; 26 p.","startPage":"1","endPage":"26","ipdsId":"IP-087176","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":469365,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/feart.2017.00083","text":"Publisher Index Page"},{"id":354292,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-17","publicationStatus":"PW","scienceBaseUri":"5afee7c6e4b0da30c1bfc36a","contributors":{"authors":[{"text":"Ogburn, Sarah E. 0000-0002-4734-2118","orcid":"https://orcid.org/0000-0002-4734-2118","contributorId":204751,"corporation":false,"usgs":true,"family":"Ogburn","given":"Sarah","email":"","middleInitial":"E.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":735757,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Calder, Eliza S","contributorId":205018,"corporation":false,"usgs":false,"family":"Calder","given":"Eliza","email":"","middleInitial":"S","affiliations":[{"id":37023,"text":"School of Geosciences, University of Edinburgh, Edinburgh, U.K","active":true,"usgs":false}],"preferred":false,"id":735758,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70193347,"text":"70193347 - 2017 - The response of soil and stream chemistry to decreases in acid deposition in the Catskill Mountains, New York, USA","interactions":[],"lastModifiedDate":"2017-11-01T10:33:18","indexId":"70193347","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1555,"text":"Environmental Pollution","active":true,"publicationSubtype":{"id":10}},"title":"The response of soil and stream chemistry to decreases in acid deposition in the Catskill Mountains, New York, USA","docAbstract":"<p><span>The Catskill Mountains have been adversely impacted by decades of acid deposition, however, since the early 1990s, levels have decreased sharply as a result of decreases in emissions of sulfur dioxide and nitrogen oxides. This study examines trends in acid deposition, stream-water chemistry, and soil chemistry in the southeastern Catskill Mountains. We measured significant reductions in acid deposition and improvement in stream-water quality in 5 streams included in this study from 1992 to 2014. The largest, most significant trends were for sulfate (SO</span><sub>4</sub><sup>2−</sup><span>) concentrations (mean trend of&nbsp;−2.5 μeq L</span><sup>−1</sup><span><span>&nbsp;</span>yr</span><sup>−1</sup><span>); hydrogen ion (H</span><sup>+</sup><span>) and inorganic monomeric aluminum (Al</span><sub>im</sub><span>) also decreased significantly (mean trends of&nbsp;−0.3 μeq L</span><sup>−1</sup><span><span>&nbsp;</span>yr</span><sup>−1</sup><span><span>&nbsp;</span>for H</span><sup>+</sup><span><span>&nbsp;</span>and&nbsp;−0.1 μeq L</span><sup>−1</sup><span><span>&nbsp;</span>yr</span><sup>−1</sup><span><span>&nbsp;</span>for Al</span><sub>im</sub><span><span>&nbsp;</span>for the 3 most acidic sites). Acid neutralizing capacity (ANC) increased by a mean of 0.65 μeq L</span><sup>−1</sup><span><span>&nbsp;</span>yr</span><sup>−1</sup><span><span>&nbsp;</span>for all 5 sites, which was 4 fold less than the decrease in SO</span><sub>4</sub><sup>2−</sup><span>concentrations. These upward trends in ANC were limited by coincident decreases in base cations (−1.3 μeq L</span><sup>−1</sup><span><span>&nbsp;</span>yr</span><sup>−1</sup><span><span>&nbsp;</span>for calcium&nbsp;+&nbsp;magnesium). No significant trends were detected in stream-water nitrate (NO</span><sub>3</sub><sup>−</sup><span>) concentrations despite significant decreasing trends in NO</span><sub>3</sub><sup>−</sup><span><span>&nbsp;</span>wet deposition. We measured no recovery in soil chemistry which we attributed to an initially low soil buffering capacity that has been further depleted by decades of acid deposition. Tightly coupled decreasing trends in stream-water silicon (Si) (−0.2 μeq L</span><sup>−1</sup><span><span>&nbsp;</span>yr</span><sup>−1</sup><span>) and base cations suggest a decrease in the soil mineral weathering rate. We hypothesize that a decrease in the ionic strength of soil water and shallow groundwater may be the principal driver of this apparent decrease in the weathering rate. A decreasing weathering rate would help to explain the slow recovery of stream pH and ANC as well as that of soil base cations.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.envpol.2017.06.001","usgsCitation":"McHale, M., Burns, D.A., Siemion, J., and Antidormi, M.R., 2017, The response of soil and stream chemistry to decreases in acid deposition in the Catskill Mountains, New York, USA: Environmental Pollution, v. 229, p. 607-620, https://doi.org/10.1016/j.envpol.2017.06.001.","productDescription":"14 p.","startPage":"607","endPage":"620","ipdsId":"IP-085558","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":469361,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.envpol.2017.06.001","text":"Publisher Index Page"},{"id":347962,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Catskill Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -74.805908203125,\n              41.88387623204765\n            ],\n            [\n              -74.72076416015625,\n              41.81636125072054\n            ],\n            [\n              -74.56695556640625,\n              41.82045509614034\n            ],\n            [\n              -74.58343505859374,\n              41.83887416186901\n            ],\n            [\n              -74.5257568359375,\n              41.82454867985508\n            ],\n            [\n              -74.476318359375,\n              41.797935707842974\n            ],\n            [\n              -74.4488525390625,\n              41.775408403663285\n            ],\n       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Center","active":true,"usgs":true}],"preferred":true,"id":718764,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burns, Douglas A. 0000-0001-6516-2869 daburns@usgs.gov","orcid":"https://orcid.org/0000-0001-6516-2869","contributorId":1237,"corporation":false,"usgs":true,"family":"Burns","given":"Douglas","email":"daburns@usgs.gov","middleInitial":"A.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":718766,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Siemion, Jason 0000-0001-5635-6469 jsiemion@usgs.gov","orcid":"https://orcid.org/0000-0001-5635-6469","contributorId":127562,"corporation":false,"usgs":true,"family":"Siemion","given":"Jason","email":"jsiemion@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":718765,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Antidormi, Michael R. 0000-0002-3967-1173 mantidormi@usgs.gov","orcid":"https://orcid.org/0000-0002-3967-1173","contributorId":150722,"corporation":false,"usgs":true,"family":"Antidormi","given":"Michael","email":"mantidormi@usgs.gov","middleInitial":"R.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":718767,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70193415,"text":"70193415 - 2017 - Predicting outcomes of restored Everglades high flow: A model system for scientifically managed floodplains","interactions":[],"lastModifiedDate":"2017-11-01T13:09:16","indexId":"70193415","displayToPublicDate":"2017-11-01T00:00:00","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}},"title":"Predicting outcomes of restored Everglades high flow: A model system for scientifically managed floodplains","docAbstract":"Restoration of higher flows through the Everglades is intended to reestablish sheetflow to rebuild a well-functioning ridge and slough landscape that supports a productive and diverse ecosystem. Our objective of the study was to use hydrologic simulations and biophysical analysis to predict restoration outcomes for five major subbasins of the Everglades. Five different scenarios of restoration were examined, and for each we predicted an outcome based on metrics describing the present-day condition of the landscape and additional metrics determined by modeling the hydrologic changes accompanying restoration. Restoration scenarios spanned from a baseline case with average annual flows of about 52% of the predrainage flow to the most aggressive scenario that permits 91% of the predrainage flow. Our predictions indicated that all restoration scenarios could benefit the functionality of the ridge-slough ecosystem. However, the difference between any single restoration scenario and the “no restoration” baseline was far greater than was the difference between any two levels of restoration. Interestingly, our analysis suggested that the most extensive (and highest cost) restoration scenarios are not likely to improve ridge and slough function more than less extensive restoration options. However, the value of more aggressive restoration may lie in factors not considered directly in our analysis. For example, an important reason to implement the more aggressive restoration scenarios could be additional flexibility that permitting greater flow allows for adaptively managing the ecosystem while also serving water needs for southeastern Florida in what could be a drier Everglades in the coming decades.","language":"English","publisher":"Wiley","doi":"10.1111/rec.12479","usgsCitation":"Choi, J., and Harvey, J., 2017, Predicting outcomes of restored Everglades high flow: A model system for scientifically managed floodplains: Restoration Ecology, v. 25, no. S1, p. S39-S47, https://doi.org/10.1111/rec.12479.","productDescription":"9 p.","startPage":"S39","endPage":"S47","ipdsId":"IP-079752","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":348010,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades","volume":"25","issue":"S1","publicComments":"Special issue: Synthesis of Everglades Research and Ecosystem Services (SERES) project","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-22","publicationStatus":"PW","scienceBaseUri":"59fadd1ae4b0531197b13c4d","contributors":{"authors":[{"text":"Choi, Jay jchoi@usgs.gov","contributorId":4731,"corporation":false,"usgs":true,"family":"Choi","given":"Jay","email":"jchoi@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":718966,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harvey, Judson 0000-0002-2654-9873 jwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2654-9873","contributorId":140228,"corporation":false,"usgs":true,"family":"Harvey","given":"Judson","email":"jwharvey@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":false,"id":718967,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70193424,"text":"70193424 - 2017 - Variation in abundance of Pacific Blue Mussel (Mytilus trossulus) in the Northern Gulf of Alaska, 2006–2015","interactions":[],"lastModifiedDate":"2018-02-28T09:43:30","indexId":"70193424","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5536,"text":"Deep Sea Research Part II: Topical Studies in Oceanography","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Variation in abundance of Pacific Blue Mussel (<i>Mytilus trossulus</i>) in the Northern Gulf of Alaska, 2006–2015","title":"Variation in abundance of Pacific Blue Mussel (Mytilus trossulus) in the Northern Gulf of Alaska, 2006–2015","docAbstract":"<p><span>Mussels are conspicuous and ecologically important components of nearshore marine communities around the globe. Pacific blue mussels (Mytilus trossulus) are common residents of intertidal habitats in protected waters of the North Pacific, serving as a conduit of primary production to a wide range of nearshore consumers including predatory invertebrates, sea ducks, shorebirds, sea otter</span><span><span><a title=\"Learn more about Sea otter\" href=\"http://www.sciencedirect.com/topics/agricultural-and-biological-sciences/sea-otter\" data-mce-href=\"http://www.sciencedirect.com/topics/agricultural-and-biological-sciences/sea-otter\">s</a>, humans, and other terrestrial mammals. We monitored seven metrics of intertidal Pacific blue mussel abundance at five sites in each of three regions across the northern Gulf of Alaska: Katmai National Park and Preserve (Katmai) (2006–2015), Kenai Fjords National Park (Kenai Fjords) (2008–2015) and western Prince William Sound (WPWS) (2007–2015). Metrics included estimates of: % cover at two tide heights in randomly selected rocky intertidal habitat; and in selected mussel beds estimates of: the density of large mussels (≥ 20 mm); density of all mussels<span>&nbsp;</span></span></span><u>&gt;</u><span><span>&nbsp;</span>2 mm estimated from cores extracted from those mussel beds; bed size; and total abundance of large and all mussels, i.e. the product of density and bed size. We evaluated whether these measures of mussel abundance differed among sites or regions, whether mussel abundance varied over time, and whether temporal patterns in abundance were site specific, or synchronous at regional or Gulf-wide spatial scales. We found that, for all metrics, mussel abundance varied on a site-by-site basis. After accounting for site differences, we found similar temporal patterns in several measures of abundance (both % cover metrics, large mussel density, large mussel abundance, and mussel abundance estimated from cores), in which abundance was initially high, declined significantly over several years, and subsequently recovered. Averaged across all sites, we documented declines of 84% in large mussel abundance through 2013 with recovery to 41% of initial abundance by 2015. These findings suggest that factors operating across the northern Gulf of Alaska were affecting mussel survival and subsequently abundance. In contrast, density of primarily small mussels obtained from cores (as an index of recruitment), varied markedly by site, but did not show meaningful temporal trends. We interpret this to indicate that settlement was driven by site-specific features rather than Gulf wide factors. By extension, we hypothesize that temporal changes in mussel abundance observed was not a result of temporal variation in larval supply leading to variation in recruitment, but rather suggestive of mortality as a primary demographic factor driving mussel abundance. Our results highlight the need to better understand underlying mechanisms of change in mussels, as well as implications of that change to nearshore consumers.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.dsr2.2017.04.008","usgsCitation":"Bodkin, J.L., Coletti, H.A., Ballachey, B.E., Monson, D., Esler, D., and Dean, T.A., 2017, Variation in abundance of Pacific Blue Mussel (Mytilus trossulus) in the Northern Gulf of Alaska, 2006–2015: Deep Sea Research Part II: Topical Studies in Oceanography, v. 147, p. 87-97, https://doi.org/10.1016/j.dsr2.2017.04.008.","productDescription":"11 p.","startPage":"87","endPage":"97","ipdsId":"IP-079564","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":461363,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.dsr2.2017.04.008","text":"Publisher Index Page"},{"id":348052,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Gulf of Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -156.40136718749997,\n              56.80087831233043\n            ],\n            [\n              -146.689453125,\n              56.80087831233043\n            ],\n            [\n              -146.689453125,\n              61.01572481397616\n            ],\n            [\n              -156.40136718749997,\n              61.01572481397616\n            ],\n            [\n              -156.40136718749997,\n              56.80087831233043\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"147","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59fadd19e4b0531197b13c48","contributors":{"authors":[{"text":"Bodkin, James L. 0000-0003-1641-4438 jbodkin@usgs.gov","orcid":"https://orcid.org/0000-0003-1641-4438","contributorId":748,"corporation":false,"usgs":true,"family":"Bodkin","given":"James","email":"jbodkin@usgs.gov","middleInitial":"L.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":718995,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coletti, Heather A.","contributorId":187561,"corporation":false,"usgs":false,"family":"Coletti","given":"Heather","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":718996,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ballachey, Brenda E. 0000-0003-1855-9171 bballachey@usgs.gov","orcid":"https://orcid.org/0000-0003-1855-9171","contributorId":2966,"corporation":false,"usgs":true,"family":"Ballachey","given":"Brenda","email":"bballachey@usgs.gov","middleInitial":"E.","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":718997,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Monson, Daniel 0000-0002-4593-5673 dmonson@usgs.gov","orcid":"https://orcid.org/0000-0002-4593-5673","contributorId":196670,"corporation":false,"usgs":true,"family":"Monson","given":"Daniel","email":"dmonson@usgs.gov","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":718998,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Esler, Daniel 0000-0001-5501-4555 desler@usgs.gov","orcid":"https://orcid.org/0000-0001-5501-4555","contributorId":5465,"corporation":false,"usgs":true,"family":"Esler","given":"Daniel","email":"desler@usgs.gov","affiliations":[{"id":12437,"text":"Simon Fraser University, Centre for Wildlife Ecology","active":true,"usgs":false},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":718994,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dean, Thomas A.","contributorId":187562,"corporation":false,"usgs":false,"family":"Dean","given":"Thomas","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":718999,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70193022,"text":"70193022 - 2017 - Tools to minimize interlaboratory variability in vitellogenin gene expression monitoring programs","interactions":[],"lastModifiedDate":"2017-11-07T12:15:19","indexId":"70193022","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Tools to minimize interlaboratory variability in vitellogenin gene expression monitoring programs","docAbstract":"<p><span>The egg yolk precursor protein vitellogenin is widely used as a biomarker of estrogen exposure in male fish. However, standardized methodology is lacking and little is known regarding the reproducibility of results among laboratories using different equipment, reagents, protocols, and data analysis programs. To address this data gap we tested the reproducibility across laboratories to evaluate vitellogenin gene (</span><i>vtg</i><span>) expression and assessed the value of using a freely available software data analysis program. Samples collected from studies of male fathead minnows (</span><i>Pimephales promelas</i><span>) exposed to 17α-ethinylestradiol (EE2) and minnows exposed to processed wastewater effluent were evaluated for<span>&nbsp;</span></span><i>vtg</i><span><span>&nbsp;</span>expression in 4 laboratories. Our results indicate reasonable consistency among laboratories if the free software for expression analysis LinRegPCR is used, with 3 of 4 laboratories detecting<span>&nbsp;</span></span><i>vtg</i><span><span>&nbsp;</span>in fish exposed to 5 ng/L EE2 (</span><i>n </i><span>= 5). All 4 laboratories detected significantly increased<span>&nbsp;</span></span><i>vtg</i><span><span>&nbsp;</span>levels in 15 male fish exposed to wastewater effluent compared with 15 male fish held in a control stream. Finally, we were able to determine that the source of high interlaboratory variability from complementary deoxyribonucleic acid (cDNA) to quantitative polymerase chain reaction (qPCR) analyses was the expression analysis software unique to each real-time qPCR machine. We successfully eliminated the interlaboratory variability by reanalyzing raw fluorescence data with independent freeware, which yielded cycle thresholds and polymerase chain reaction (PCR) efficiencies that calculated results independently of proprietary software. Our results suggest that laboratories engaged in monitoring programs should validate their PCR protocols and analyze their gene expression data following the guidelines established in the present study for all gene expression biomarkers.<span>&nbsp;</span></span></p>","language":"English","publisher":"Society of Environmental Toxicology and Chemistry","doi":"10.1002/etc.3885","usgsCitation":"Jastrow, A., Gordon, D.A., Auger, K.M., Punska, E.C., Arcaro, K.F., Keteles, K., Winkelman, D.L., Lattier, D., Biales, A., and Lazorchak, J.M., 2017, Tools to minimize interlaboratory variability in vitellogenin gene expression monitoring programs: Environmental Toxicology and Chemistry, v. 36, no. 1, p. 3102-3107, https://doi.org/10.1002/etc.3885.","productDescription":"6 p.","startPage":"3102","endPage":"3107","ipdsId":"IP-080787","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":469366,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5894818","text":"External Repository"},{"id":348367,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-20","publicationStatus":"PW","scienceBaseUri":"5a07e84be4b09af898c8cb42","contributors":{"authors":[{"text":"Jastrow, Aaron","contributorId":200067,"corporation":false,"usgs":false,"family":"Jastrow","given":"Aaron","affiliations":[],"preferred":false,"id":720892,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gordon, Denise A.","contributorId":200068,"corporation":false,"usgs":false,"family":"Gordon","given":"Denise","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":720893,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Auger, Kasie M.","contributorId":200069,"corporation":false,"usgs":false,"family":"Auger","given":"Kasie","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":720894,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Punska, Elizabeth C.","contributorId":200070,"corporation":false,"usgs":false,"family":"Punska","given":"Elizabeth","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":720895,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Arcaro, Kathleen F.","contributorId":200071,"corporation":false,"usgs":false,"family":"Arcaro","given":"Kathleen","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":720896,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Keteles, Kristen","contributorId":200072,"corporation":false,"usgs":false,"family":"Keteles","given":"Kristen","email":"","affiliations":[],"preferred":false,"id":720897,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Winkelman, Dana L. 0000-0002-5247-0114 danaw@usgs.gov","orcid":"https://orcid.org/0000-0002-5247-0114","contributorId":4141,"corporation":false,"usgs":true,"family":"Winkelman","given":"Dana","email":"danaw@usgs.gov","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":717677,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lattier, David","contributorId":200073,"corporation":false,"usgs":false,"family":"Lattier","given":"David","email":"","affiliations":[],"preferred":false,"id":720898,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Biales, Adam","contributorId":200074,"corporation":false,"usgs":false,"family":"Biales","given":"Adam","email":"","affiliations":[],"preferred":false,"id":720899,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Lazorchak, James M.","contributorId":14750,"corporation":false,"usgs":true,"family":"Lazorchak","given":"James","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":720900,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
]}