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We review recent research describing the ecological benefits of koa restoration on wildlife colonization/use, plant dispersal, and native plant recruitment. In general, planting monotypic koa stands can provide forest habitats for species that need them but does not automatically lead to natural regeneration of a diverse forest species assemblage and may require additional restoration activities such as outplanting of other native plants and alien grass control to achieve more natural forest systems. Although early signs of forest and wildlife recovery have been encouraging, the goals of restoration for wildlife conservation versus commercial grade harvesting require different restoration methods.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Acacia koa in Hawai‘i: facing the future. Proceedings of the 2016 Koa Symposium","conferenceTitle":"Acacia koa in Hawaiʻi: Facing the Future","conferenceDate":"October 5, 2016","conferenceLocation":"Hilo, HI","language":"English","publisher":"University of Hawai‘i","usgsCitation":"Camp, R., Paxton, E., and Yelenik, S.G., 2017, Influence of restored koa in supporting bird communities, <i>in</i> Acacia koa in Hawai‘i: facing the future. Proceedings of the 2016 Koa Symposium, Hilo, HI, October 5, 2016, p. 56-61.","productDescription":"6 p.","startPage":"56","endPage":"61","ipdsId":"IP-081285","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":344811,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":344810,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.ctahr.hawaii.edu/forestry/trees/koa_2016.html","linkFileType":{"id":5,"text":"html"}}],"country":"United 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syelenik@usgs.gov","orcid":"https://orcid.org/0000-0002-9011-0769","contributorId":5251,"corporation":false,"usgs":true,"family":"Yelenik","given":"Stephanie","email":"syelenik@usgs.gov","middleInitial":"G.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":706990,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70189831,"text":"70189831 - 2017 - Using structural damage statistics to derive macroseismic intensity within the Kathmandu valley for the 2015 M7.8 Gorkha, Nepal earthquake","interactions":[],"lastModifiedDate":"2018-03-27T11:19:18","indexId":"70189831","displayToPublicDate":"2016-12-31T00:00:00","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":"Using structural damage statistics to derive macroseismic intensity within the Kathmandu valley for the 2015 M7.8 Gorkha, Nepal earthquake","docAbstract":"We make and analyze structural damage observations from within the Kathmandu valley following the 2015 M7.8 Gorkha, Nepal earthquake to derive macroseismic intensities at several locations including some located near ground motion recording sites. The macroseismic intensity estimates supplement the limited strong ground motion data in order to characterize the damage statistics. This augmentation allows for direct comparisons between ground motion amplitudes and structural damage characteristics and ultimately produces a more constrained ground shaking hazard map for the Gorkha earthquake. For systematic assessments, we focused on damage to three specific building categories: (a) low/mid-rise reinforced concrete frames with infill brick walls, (b) unreinforced brick masonry bearing walls with reinforced concrete slabs, and (c) unreinforced brick masonry bearing walls with partial timber framing. Evaluating dozens of photos of each construction type, assigning each building in the study sample to a European Macroseismic Scale (EMS)-98 Vulnerability Class based upon its structural characteristics, and then individually assigning an EMS-98 Damage Grade to each building allows a statistically derived estimate of macroseismic intensity for each of nine study areas in and around the Kathmandu valley. This analysis concludes that EMS-98 macroseismic intensities for the study areas from the Gorkha mainshock typically were in the VII–IX range. The intensity assignment process described is more rigorous than the informal approach of assigning intensities based upon anecdotal media or first-person accounts of felt-reports, shaking, and their interpretation of damage. Detailed EMS-98 macroseismic assessments in urban areas are critical for quantifying relations between shaking and damage as well as for calibrating loss estimates. We show that the macroseismic assignments made herein result in fatality estimates consistent with the overall and district-wide reported values.","language":"English","publisher":"Elsevier","doi":"10.1016/j.tecto.2016.08.002","usgsCitation":"McGowan, S., Jaiswal, K.S., and Wald, D.J., 2017, Using structural damage statistics to derive macroseismic intensity within the Kathmandu valley for the 2015 M7.8 Gorkha, Nepal earthquake: Tectonophysics, v. 714-715, p. 158-172, https://doi.org/10.1016/j.tecto.2016.08.002.","productDescription":"15 p.","startPage":"158","endPage":"172","ipdsId":"IP-078944","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":470183,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.tecto.2016.08.002","text":"Publisher Index Page"},{"id":344402,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Nepal","otherGeospatial":"Kathmandu Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              84.715576171875,\n              27.176469131898898\n            ],\n            [\n              86.0888671875,\n              27.176469131898898\n            ],\n            [\n              86.0888671875,\n              27.97499795326776\n            ],\n            [\n              84.715576171875,\n              27.97499795326776\n            ],\n            [\n              84.715576171875,\n              27.176469131898898\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"714-715","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"597afba6e4b0a38ca2750b5e","contributors":{"authors":[{"text":"McGowan, Sean","contributorId":195190,"corporation":false,"usgs":false,"family":"McGowan","given":"Sean","affiliations":[],"preferred":false,"id":706492,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jaiswal, Kishor S. 0000-0002-5803-8007 kjaiswal@usgs.gov","orcid":"https://orcid.org/0000-0002-5803-8007","contributorId":149796,"corporation":false,"usgs":true,"family":"Jaiswal","given":"Kishor","email":"kjaiswal@usgs.gov","middleInitial":"S.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":706493,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wald, David J. 0000-0002-1454-4514 wald@usgs.gov","orcid":"https://orcid.org/0000-0002-1454-4514","contributorId":795,"corporation":false,"usgs":true,"family":"Wald","given":"David","email":"wald@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":706494,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70198062,"text":"70198062 - 2017 - Changes in vocal repertoire of the Hawaiian crow, Corvus hawaiiensis,from past wild to current captive populations","interactions":[],"lastModifiedDate":"2018-07-16T11:33:49","indexId":"70198062","displayToPublicDate":"2016-12-30T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":770,"text":"Animal Behaviour","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Changes in vocal repertoire of the Hawaiian crow, <i>Corvus hawaiiensis</i>,from past wild to current captive populations","title":"Changes in vocal repertoire of the Hawaiian crow, Corvus hawaiiensis,from past wild to current captive populations","docAbstract":"<div id=\"abs0010\" class=\"abstract author\" lang=\"en\"><div id=\"abssec0010\"><p id=\"abspara0010\"><span>For most avian species, social behaviou<a title=\"Learn more about Social Behavior\" href=\"https://www.sciencedirect.com/topics/neuroscience/social-behavior\" data-mce-href=\"https://www.sciencedirect.com/topics/neuroscience/social-behavior\">r</a> is critically important for survival and reproductive success. Many social behaviours in birds are culturally transmitted, and as bird populations decline across the globe, important elements of these behaviours may be lost. The Hawaiian crow or 'alalā, </span><i>Corvus hawaiiensis</i><span>, is a socially complex avian species that is currently extinct in the wild. As in other oscine passerines, vocalizations in the 'alalā may be culturally transmitted. We compared the vocal repertoire of three of the last four wild 'alalā pairs from the early 1990s to three current captive pairs on the Island of Hawai'i to determine how acoustic behaviour has been affected by changes in their social and physical environment. Over 18&nbsp;h of recordings from wild breeding pairs were analysed and compared with 44&nbsp;h from captive breeding pairs. Calls were placed into five putative behavioural categories: (1) alarm, (2) territorial broadcast, (3) aggression, (4) submission and (5) courtship. There was little difference in the overall number and diversity of call types among wild versus captive birds. However, the repertoire was significantly different. Territorial broadcast calls, common components of the wild repertoire, were absent from the captive repertoire. In addition, wild birds had twice the number of alarm calls and had a higher call rate than captive birds. Our results show how socially learned behaviours may change over relatively short periods for an entire species. Understanding how the vocal repertoire and the functional context of vocalizations change may provide useful information for ongoing efforts to reintroduce the 'alalā into the wild.</span></p></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.anbehav.2016.11.017","usgsCitation":"Tanimoto, A.M., Hart, P.J., Pack, A.A., Switzwer, R., Banko, P.C., Ball, D.L., Sebastian-Gonzalez, E., Komarczyk, L., and Warrington, M.H., 2017, Changes in vocal repertoire of the Hawaiian crow, Corvus hawaiiensis,from past wild to current captive populations: Animal Behaviour, v. 123, p. 427-432, https://doi.org/10.1016/j.anbehav.2016.11.017.","productDescription":"6 p.","startPage":"427","endPage":"432","ipdsId":"IP-099249","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":470184,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.anbehav.2016.11.017","text":"Publisher Index Page"},{"id":355635,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawai'i","volume":"123","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b46e607e4b060350a15d23c","contributors":{"authors":[{"text":"Tanimoto, Ann M.","contributorId":206225,"corporation":false,"usgs":false,"family":"Tanimoto","given":"Ann","email":"","middleInitial":"M.","affiliations":[{"id":37291,"text":"University of Hawaii at Hilo","active":true,"usgs":false}],"preferred":false,"id":739833,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hart, Patrick J.","contributorId":147728,"corporation":false,"usgs":false,"family":"Hart","given":"Patrick","email":"","middleInitial":"J.","affiliations":[{"id":6977,"text":"University of Hawai`i at Hilo","active":true,"usgs":false}],"preferred":false,"id":739834,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pack, Adam A.","contributorId":204176,"corporation":false,"usgs":false,"family":"Pack","given":"Adam","email":"","middleInitial":"A.","affiliations":[{"id":36870,"text":"University of Hawai‘i Hilo","active":true,"usgs":false}],"preferred":false,"id":739835,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Switzwer, Richard","contributorId":206226,"corporation":false,"usgs":false,"family":"Switzwer","given":"Richard","email":"","affiliations":[{"id":37292,"text":"San Diego Zoological Society,","active":true,"usgs":false}],"preferred":false,"id":739836,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Banko, Paul C. 0000-0002-6035-9803 pbanko@usgs.gov","orcid":"https://orcid.org/0000-0002-6035-9803","contributorId":3179,"corporation":false,"usgs":true,"family":"Banko","given":"Paul","email":"pbanko@usgs.gov","middleInitial":"C.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":739832,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ball, Donna L.","contributorId":206227,"corporation":false,"usgs":false,"family":"Ball","given":"Donna","email":"","middleInitial":"L.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":739837,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sebastian-Gonzalez, Esther","contributorId":196675,"corporation":false,"usgs":false,"family":"Sebastian-Gonzalez","given":"Esther","affiliations":[],"preferred":false,"id":739838,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Komarczyk, Lisa","contributorId":206228,"corporation":false,"usgs":false,"family":"Komarczyk","given":"Lisa","email":"","affiliations":[{"id":37293,"text":"St. George's University","active":true,"usgs":false}],"preferred":false,"id":739839,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Warrington, Miyako H.","contributorId":206260,"corporation":false,"usgs":false,"family":"Warrington","given":"Miyako","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":739916,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70178588,"text":"sim3373 - 2017 - Water-level changes in the High Plains aquifer, Republican River Basin in Colorado, Kansas, and Nebraska, 2002 to 2015","interactions":[],"lastModifiedDate":"2017-03-27T16:08:39","indexId":"sim3373","displayToPublicDate":"2016-12-29T16:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3373","title":"Water-level changes in the High Plains aquifer, Republican River Basin in Colorado, Kansas, and Nebraska, 2002 to 2015","docAbstract":"<p>The High Plains aquifer underlies 111.8 million acres (about 175,000 square miles) in parts of eight States—Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming. More than 95 percent of the water withdrawn from the High Plains aquifer is used for irrigation. Water-level declines began in parts of the High Plains aquifer soon after the beginning of substantial irrigation with groundwater in the aquifer area (about 1950). The Republican River Basin is 15.9 million acres (about 25,000 square miles) and is located in northeast Colorado, northern Kansas, and southwest Nebraska. The Republican River Basin overlies the High Plains aquifer for 87 percent of the basin area. Water-level declines had begun in parts of the High Plains aquifer within the Republican River Basin by 1964. In 2002, management practices were enacted in the Middle Republican Natural Resources District in Nebraska to comply with the Republican River Compact Final Settlement. The U.S. Geological Survey, in cooperation with the Middle Republican Natural Resources District, completed a study of water-level changes in the High Plains aquifer within the Republican River Basin from 2002 to 2015 to enable the Middle Republican Natural Resources District to assess the effect of the management practices, which were specified by the Republican River Compact Final Settlement. Water-level changes determined from this study are presented in this report.</p><p>Water-level changes from 2002 to 2015 in the High Plains aquifer within the Republican River Basin, by well, ranged from a rise of 9.4 feet to a decline of 43.2 feet. The area-weighted, average water-level change from 2002 to 2015 in this part of the aquifer was a decline of 4.5 feet.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3373","collaboration":"Prepared in cooperation with the Middle Republican Natural Resources District","usgsCitation":"McGuire, V.L., 2017, Water-level changes in the High Plains aquifer, Republican River Basin in Colorado, Kansas, and Nebraska, 2002 to 2015 (ver. 1.2, March 2017): U.S. Geological Survey Scientific Investigations Map 3373, 10 p., 1 sheet with appendix, https://doi.org/10.3133/sim3373.","productDescription":"Sheet: 35.0 x 36.0 inches; Pamphlet: iv, 10 p.; Appendix Well Files; Data Release; Version History","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-079652","costCenters":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"links":[{"id":332424,"rank":2,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sim/3373/sim3373_appendix_well_file.csv","text":"Appendix Well File","size":"290 kB","linkFileType":{"id":7,"text":"csv"},"description":"SIM 3373 Appendix"},{"id":332425,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sim/3373/sim3373_appendix_well_file.xlsx","text":"Appendix Well File","size":"278 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIM 3373 Appendix "},{"id":332427,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F7X34VKH","text":"USGS Data Release","description":"USGS Data Release","linkHelpText":"Digital map of water-level changes in the High Plains aquifer, Republican River Basin in Colorado, Kansas, and Nebraska, 2002 to 2015"},{"id":335100,"rank":7,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sim/3373/version_Hist.txt","text":"Version History","size":"2.13 kB","linkFileType":{"id":2,"text":"txt"},"description":"SIM 3373 Version History"},{"id":335099,"rank":6,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sim/3373/sim3373_pamphlet.pdf","text":"Pamphlet","size":"5.65 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3373 Pamphlet"},{"id":335098,"rank":5,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3373/sim3373_2.pdf","text":"Map","size":"6.92 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3373"},{"id":332422,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3373/coverthb2.jpg"}],"country":"United States","state":"Colorado, Kansas, Nebraska","otherGeospatial":"High Plains Aquifer, Republican River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -96.9873046875,\n              40.04443758460856\n            ],\n            [\n              -100.37109375,\n              41.29431726315258\n            ],\n            [\n              -102.216796875,\n              41.02964338716638\n            ],\n            [\n              -103.4033203125,\n              40.245991504199026\n            ],\n            [\n              -103.84277343749999,\n              39.30029918615029\n            ],\n            [\n              -102.63427734374999,\n              38.61687046392973\n            ],\n            [\n              -100.04150390625,\n              39.317300373271024\n            ],\n            [\n              -98.7890625,\n              39.7240885773337\n            ],\n            [\n              -96.9873046875,\n              40.04443758460856\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","edition":"Version 1.0: Originally posted December 29,  2016; Version 1.1: February 10, 2017; Version 1.2: March 27, 2017","contact":"<p>Director, Nebraska Water Science Center <br>U.S. Geological Survey<br>5231 South 19th Street <br>Lincoln, NE 68512</p><p><a href=\"http://ne.water.usgs.gov/\" data-mce-href=\"http://ne.water.usgs.gov/\">http://ne.water.usgs.gov/</a></p>","tableOfContents":"<ul><li>Abstract<br></li><li>Introduction<br></li><li>Data and Methods<br></li><li>Water-Level Changes, 2002 to 2015<br></li><li>Summary<br></li><li>Acknowledgments<br></li><li>References Cited<br></li><li>Appendix-Report Datasets<br></li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2016-12-29","revisedDate":"2017-03-27","noUsgsAuthors":false,"publicationDate":"2016-12-29","publicationStatus":"PW","scienceBaseUri":"58662f0ae4b0cd2dabe7c4a1","contributors":{"authors":[{"text":"McGuire, V. 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,{"id":70179335,"text":"70179335 - 2017 - Warming and provenance limit tree recruitment across and beyond the elevation range of subalpine forest","interactions":[],"lastModifiedDate":"2017-11-22T17:06:11","indexId":"70179335","displayToPublicDate":"2016-12-29T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Warming and provenance limit tree recruitment across and beyond the elevation range of subalpine forest","docAbstract":"<p><span>Climate niche models project that subalpine forest ranges will extend upslope with climate warming. These projections assume that the climate suitable for adult trees will be adequate for forest regeneration, ignoring climate requirements for seedling recruitment, a potential demographic bottleneck. Moreover, local genetic adaptation is expected to facilitate range expansion, with tree populations at the upper forest edge providing the seed best adapted to the alpine. Here, we test these expectations using a novel combination of common gardens, seeded with two widely distributed subalpine conifers, and climate manipulations replicated at three elevations. Infrared heaters raised temperatures in heated plots, but raised temperatures more in the forest than at or above treeline because strong winds at high elevation reduced heating efficiency. Watering increased season-average soil moisture similarly across sites. Contrary to expectations, warming reduced Engelmann spruce recruitment at and above treeline, as well as in the forest. Warming reduced limber pine first-year recruitment in the forest, but had no net effect on fourth-year recruitment at any site. Watering during the snow-free season alleviated some negative effects of warming, indicating that warming exacerbated water limitations. Contrary to expectations of local adaptation, low-elevation seeds of both species initially recruited more strongly than high-elevation seeds across the elevation gradient, although the low-provenance advantage diminished by the fourth year for Engelmann spruce, likely due to small sample sizes. High- and low-elevation provenances responded similarly to warming across sites for Engelmann spruce, but differently for limber pine. In the context of increasing tree mortality, lower recruitment at all elevations with warming, combined with lower quality, high-provenance seed being most available for colonizing the alpine, portends range contraction for Engelmann spruce. The lower sensitivity of limber pine to warming indicates a potential for this species to become more important in subalpine forest communities in the coming centuries.</span></p>","language":"English","publisher":"Blackwell Science","publisherLocation":"Oxford, England","doi":"10.1111/gcb.13561","usgsCitation":"Kueppers, L.M., Conlisk, E., Castanha, C., Moyes, A.B., Germino, M., de Valpine, P., Torn, M.S., and Mitton, J.B., 2017, Warming and provenance limit tree recruitment across and beyond the elevation range of subalpine forest: Global Change Biology, v. 23, no. 6, p. 2383-2395, https://doi.org/10.1111/gcb.13561.","productDescription":"13 p.","startPage":"2383","endPage":"2395","ipdsId":"IP-067087","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":461813,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gcb.13561","text":"Publisher Index Page"},{"id":332618,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Niwot Ridge","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -105.54153442382812,\n              40.067956744086096\n            ],\n            [\n              -105.54393768310547,\n              40.038260817438776\n            ],\n            [\n              -105.5595588684082,\n              40.04141498122656\n            ],\n            [\n              -105.56625366210936,\n              40.04312342569046\n            ],\n            [\n              -105.57638168334961,\n              40.04588313016049\n            ],\n            [\n              -105.58170318603514,\n              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M.","contributorId":89778,"corporation":false,"usgs":false,"family":"Kueppers","given":"Lara","email":"","middleInitial":"M.","affiliations":[{"id":16805,"text":"University of California, Merced","active":true,"usgs":false},{"id":6670,"text":"Lawrence Berkeley National Laboratory, Berkeley, CA","active":true,"usgs":false}],"preferred":false,"id":656836,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conlisk, Erin","contributorId":149404,"corporation":false,"usgs":false,"family":"Conlisk","given":"Erin","affiliations":[{"id":6609,"text":"UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":656837,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Castanha, Cristina","contributorId":177737,"corporation":false,"usgs":false,"family":"Castanha","given":"Cristina","email":"","affiliations":[{"id":16805,"text":"University of California, Merced","active":true,"usgs":false},{"id":6670,"text":"Lawrence Berkeley National Laboratory, Berkeley, CA","active":true,"usgs":false}],"preferred":false,"id":656838,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moyes, Andrew B.","contributorId":66981,"corporation":false,"usgs":false,"family":"Moyes","given":"Andrew","email":"","middleInitial":"B.","affiliations":[{"id":6670,"text":"Lawrence Berkeley National Laboratory, Berkeley, CA","active":true,"usgs":false},{"id":16805,"text":"University of California, Merced","active":true,"usgs":false}],"preferred":false,"id":656839,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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 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B.","contributorId":177741,"corporation":false,"usgs":false,"family":"Mitton","given":"Jeffry","email":"","middleInitial":"B.","affiliations":[{"id":6713,"text":"University of Colorado, Boulder CO","active":true,"usgs":false}],"preferred":false,"id":656843,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70179334,"text":"70179334 - 2017 - Temporary wetlands: Challenges and solutions to conserving a ‘disappearing’ ecosystem","interactions":[],"lastModifiedDate":"2017-06-27T13:30:44","indexId":"70179334","displayToPublicDate":"2016-12-29T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Temporary wetlands: Challenges and solutions to conserving a ‘disappearing’ ecosystem","docAbstract":"<p><span>Frequent drying of ponded water, and support of unique, highly specialized assemblages of often rare species, characterize temporary wetlands, such as vernal pools, gilgais, and prairie potholes. As small aquatic features embedded in a terrestrial landscape, temporary wetlands enhance biodiversity and provide aesthetic, biogeochemical, and hydrologic functions. Challenges to conserving temporary wetlands include the need to: (1) integrate freshwater and terrestrial biodiversity priorities; (2) conserve entire ‘pondscapes’ defined by connections to other aquatic and terrestrial systems; (3) maintain natural heterogeneity in environmental gradients across and within wetlands, especially gradients in hydroperiod; (4) address economic impact on landowners and developers; (5) act without complete inventories of these wetlands; and (6) work within limited or non-existent regulatory protections. Because temporary wetlands function as integral landscape components, not singly as isolated entities, their cumulative loss is ecologically detrimental yet not currently part of the conservation calculus. We highlight approaches that use strategies for conserving temporary wetlands in increasingly human-dominated landscapes that integrate top-down management and bottom-up collaborative approaches. Diverse conservation activities (including education, inventory, protection, sustainable management, and restoration) that reduce landowner and manager costs while achieving desired ecological objectives will have the greatest probability of success in meeting conservation goals.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2016.11.024","usgsCitation":"Calhoun, A.J., Mushet, D.M., Bell, K.P., Boix, D., Fitzsimons, J.A., and Isselin-Nondedeu, F., 2017, Temporary wetlands: Challenges and solutions to conserving a ‘disappearing’ ecosystem: Biological Conservation, v. 211, no. B, p. 3-11, https://doi.org/10.1016/j.biocon.2016.11.024.","productDescription":"9 p.","startPage":"3","endPage":"11","ipdsId":"IP-076656","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":470185,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://figshare.com/articles/journal_contribution/Temporary_wetlands_challenges_and_solutions_to_conserving_a_disappearing_ecosystem/20862952","text":"Publisher Index Page"},{"id":332619,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"211","issue":"B","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58662f12e4b0cd2dabe7c4af","contributors":{"authors":[{"text":"Calhoun, Aram J.K.","contributorId":177732,"corporation":false,"usgs":false,"family":"Calhoun","given":"Aram","email":"","middleInitial":"J.K.","affiliations":[{"id":13065,"text":"Department of Wildlife, Fisheries, and Conservation Biology, University of Maine","active":true,"usgs":false}],"preferred":false,"id":656830,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mushet, David M. 0000-0002-5910-2744 dmushet@usgs.gov","orcid":"https://orcid.org/0000-0002-5910-2744","contributorId":1299,"corporation":false,"usgs":true,"family":"Mushet","given":"David","email":"dmushet@usgs.gov","middleInitial":"M.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":656829,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bell, Kathleen P.","contributorId":171584,"corporation":false,"usgs":false,"family":"Bell","given":"Kathleen","email":"","middleInitial":"P.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":656831,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boix, Dani","contributorId":177733,"corporation":false,"usgs":false,"family":"Boix","given":"Dani","affiliations":[],"preferred":false,"id":656832,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fitzsimons, James A.","contributorId":177734,"corporation":false,"usgs":false,"family":"Fitzsimons","given":"James","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":656833,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Isselin-Nondedeu, Francis","contributorId":177735,"corporation":false,"usgs":false,"family":"Isselin-Nondedeu","given":"Francis","email":"","affiliations":[],"preferred":false,"id":656834,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70179304,"text":"70179304 - 2017 - Challenges with secondary use of multi-source water-quality data in the United States","interactions":[],"lastModifiedDate":"2017-01-03T10:15:39","indexId":"70179304","displayToPublicDate":"2016-12-28T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3716,"text":"Water Research","onlineIssn":"1879-2448","printIssn":"0043-1354","active":true,"publicationSubtype":{"id":10}},"title":"Challenges with secondary use of multi-source water-quality data in the United States","docAbstract":"<p><span>Combining water-quality data from multiple sources can help counterbalance diminishing resources for stream monitoring in the United States and lead to important regional and national insights that would not otherwise be possible. Individual monitoring organizations understand their own data very well, but issues can arise when their data are combined with data from other organizations that have used different methods for reporting the same common metadata elements. Such use of multi-source data is termed “secondary use”—the use of data beyond the original intent determined by the organization that collected the data. In this study, we surveyed more than 25 million nutrient records collected by 488 organizations in the United States since 1899 to identify major inconsistencies in metadata elements that limit the secondary use of multi-source data. Nearly 14.5 million of these records had missing or ambiguous information for one or more key metadata elements, including (in decreasing order of records affected) sample fraction, chemical form, parameter name, units of measurement, precise numerical value, and remark codes. As a result, metadata harmonization to make secondary use of these multi-source data will be time consuming, expensive, and inexact. Different data users may make different assumptions about the same ambiguous data, potentially resulting in different conclusions about important environmental issues. The value of these ambiguous data is estimated at \\$US12 billion, a substantial collective investment by water-resource organizations in the United States. By comparison, the value of unambiguous data is estimated at \\$US8.2 billion. The ambiguous data could be preserved for uses beyond the original intent by developing and implementing standardized metadata practices for future and legacy water-quality data throughout the United States.</span></p>","language":"English","publisher":"International Association on Water Pollution Research","publisherLocation":"Amsterdam","doi":"10.1016/j.watres.2016.12.024","usgsCitation":"Sprague, L.A., Oelsner, G.P., and Argue, D.M., 2017, Challenges with secondary use of multi-source water-quality data in the United States: Water Research, v. 110, p. 252-261, https://doi.org/10.1016/j.watres.2016.12.024.","productDescription":"10 p.","startPage":"252","endPage":"261","ipdsId":"IP-078333","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":470186,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.watres.2016.12.024","text":"Publisher Index 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,{"id":70179284,"text":"70179284 - 2017 - The practice of prediction: What can ecologists learn from applied, ecology-related fields?","interactions":[],"lastModifiedDate":"2017-12-11T14:01:21","indexId":"70179284","displayToPublicDate":"2016-12-27T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1452,"text":"Ecological Complexity","active":true,"publicationSubtype":{"id":10}},"title":"The practice of prediction: What can ecologists learn from applied, ecology-related fields?","docAbstract":"<p><span>The pervasive influence of human induced global environmental change affects biodiversity across the globe, and there is great uncertainty as to how the biosphere will react on short and longer time scales. To adapt to what the future holds and to manage the impacts of global change, scientists need to predict the expected effects with some confidence and communicate these predictions to policy makers. However, recent reviews found that we currently lack a clear understanding of how predictable ecology is, with views seeing it as mostly unpredictable to potentially predictable, at least over short time frames. However, in applied, ecology-related fields predictions are more commonly formulated and reported, as well as evaluated in hindsight, potentially allowing one to define baselines of predictive proficiency in these fields. We searched the literature for representative case studies in these fields and collected information about modeling approaches, target variables of prediction, predictive proficiency achieved, as well as the availability of data to parameterize predictive models. We find that some fields such as epidemiology achieve high predictive proficiency, but even in the more predictive fields proficiency is evaluated in different ways. Both phenomenological and mechanistic approaches are used in most fields, but differences are often small, with no clear superiority of one approach over the other. Data availability is limiting in most fields, with long-term studies being rare and detailed data for parameterizing mechanistic models being in short supply. We suggest that ecologists adopt a more rigorous approach to report and assess predictive proficiency, and embrace the challenges of real world decision making to strengthen the practice of prediction in ecology.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecocom.2016.12.005","usgsCitation":"Pennekamp, F., Adamson, M., Petchey, O.L., Poggiale, J., Aguiar, M., Kooi, B.W., Botkin, D.B., and DeAngelis, D.L., 2017, The practice of prediction: What can ecologists learn from applied, ecology-related fields?: Ecological Complexity, v. 32, no. B, p. 156-167, https://doi.org/10.1016/j.ecocom.2016.12.005.","productDescription":"12 p.","startPage":"156","endPage":"167","onlineOnly":"Y","ipdsId":"IP-074291","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":470187,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5167/uzh-134675","text":"Publisher Index Page"},{"id":332565,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"B","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5864dd4de4b0cd2dabe7c1c9","contributors":{"authors":[{"text":"Pennekamp, Frank","contributorId":177677,"corporation":false,"usgs":false,"family":"Pennekamp","given":"Frank","email":"","affiliations":[],"preferred":false,"id":656646,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Adamson, Matthew","contributorId":177678,"corporation":false,"usgs":false,"family":"Adamson","given":"Matthew","email":"","affiliations":[],"preferred":false,"id":656647,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Petchey, Owen L","contributorId":177679,"corporation":false,"usgs":false,"family":"Petchey","given":"Owen","email":"","middleInitial":"L","affiliations":[],"preferred":false,"id":656648,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Poggiale, Jean-Christophe","contributorId":177680,"corporation":false,"usgs":false,"family":"Poggiale","given":"Jean-Christophe","email":"","affiliations":[],"preferred":false,"id":656649,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Aguiar, Maira","contributorId":177681,"corporation":false,"usgs":false,"family":"Aguiar","given":"Maira","email":"","affiliations":[],"preferred":false,"id":656650,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kooi, Bob W.","contributorId":152069,"corporation":false,"usgs":false,"family":"Kooi","given":"Bob","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":656651,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Botkin, Daniel B.","contributorId":90917,"corporation":false,"usgs":false,"family":"Botkin","given":"Daniel","email":"","middleInitial":"B.","affiliations":[{"id":13532,"text":"Department of Biology, University of Miami","active":true,"usgs":false}],"preferred":false,"id":656652,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"DeAngelis, Donald L. 0000-0002-1570-4057 don_deangelis@usgs.gov","orcid":"https://orcid.org/0000-0002-1570-4057","contributorId":148065,"corporation":false,"usgs":true,"family":"DeAngelis","given":"Donald","email":"don_deangelis@usgs.gov","middleInitial":"L.","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":656645,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70181011,"text":"70181011 - 2017 - Arsenite as an electron donor for anoxygenic photosynthesis: Description of three strains of <i>Ectothiorhodospria</i> from Mono Lake, California, and Big Soda Lake, Nevada","interactions":[],"lastModifiedDate":"2017-02-11T17:36:01","indexId":"70181011","displayToPublicDate":"2016-12-26T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2617,"text":"Life Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Arsenite as an electron donor for anoxygenic photosynthesis: Description of three strains of <i>Ectothiorhodospria</i> from Mono Lake, California, and Big Soda Lake, Nevada","docAbstract":"<p><span>Three novel strains of photosynthetic bacteria from the family Ectothiorhodospiraceae were isolated from soda lakes of the Great Basin Desert, USA by employing arsenite (As(III)) as the sole electron donor in the enrichment/isolation process. Strain PHS-1 was previously isolated from a hot spring in Mono Lake, while strain MLW-1 was obtained from Mono Lake sediment, and strain BSL-9 was isolated from Big Soda Lake. Strains PHS-1, MLW-1, and BSL-9 were all capable of As(III)-dependent growth via anoxygenic photosynthesis and contained homologs of arxA, but displayed different phenotypes. Comparisons were made with three related species: </span><i>Ectothiorhodospira shaposhnikovii</i><span> DSM 2111, </span><i>Ectothiorhodospira shaposhnikovii</i><span> DSM 243</span><sup>T</sup><span>, and </span><i>Halorhodospira halophila</i><span> DSM 244. All three type cultures oxidized arsenite to arsenate but did not grow with As(III) as the sole electron donor. DNA–DNA hybridization indicated that strain PHS-1 belongs to the same species as </span><i>Ect. shaposhnikovii</i><span> DSM 2111 (81.1% sequence similarity), distinct from </span><i>Ect. shaposhnikovii</i><span> DSM 243</span><sup>T</sup><span> (58.1% sequence similarity). These results suggest that the capacity for light-driven As(III) oxidation is a common phenomenon among purple photosynthetic bacteria in soda lakes. However, the use of As(III) as a sole electron donor to sustain growth via anoxygenic photosynthesis is confined to novel isolates that were screened for by this selective cultivation criterion. </span></p>","language":"English","publisher":"MDPI","doi":"10.3390/life7010001","usgsCitation":"McCann, S., Boren, A., Hernandez-Maldonado, J., Stoneburner, B., Saltikov, C.W., Stolz, J.F., and Oremland, R.S., 2017, Arsenite as an electron donor for anoxygenic photosynthesis: Description of three strains of <i>Ectothiorhodospria</i> from Mono Lake, California, and Big Soda Lake, Nevada: Life Sciences, v. 7, no. 1, 14 p., https://doi.org/10.3390/life7010001.","productDescription":"14 p.","ipdsId":"IP-080454","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":470188,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/life7010001","text":"Publisher Index Page"},{"id":335174,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-26","publicationStatus":"PW","scienceBaseUri":"589ffedfe4b099f50d3e0438","contributors":{"authors":[{"text":"McCann, Shelley 0000-0002-9753-7968 smccann@usgs.gov","orcid":"https://orcid.org/0000-0002-9753-7968","contributorId":149902,"corporation":false,"usgs":true,"family":"McCann","given":"Shelley","email":"smccann@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":663267,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boren, Alison","contributorId":174072,"corporation":false,"usgs":false,"family":"Boren","given":"Alison","email":"","affiliations":[],"preferred":false,"id":663268,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hernandez-Maldonado, Jaime","contributorId":179303,"corporation":false,"usgs":false,"family":"Hernandez-Maldonado","given":"Jaime","email":"","affiliations":[],"preferred":false,"id":663269,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stoneburner, Brendon","contributorId":174071,"corporation":false,"usgs":false,"family":"Stoneburner","given":"Brendon","email":"","affiliations":[{"id":27354,"text":"University of California Santa Cruz, Department of Microbiology and Environmental Toxicology","active":true,"usgs":false}],"preferred":false,"id":663270,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Saltikov, Chad W","contributorId":179304,"corporation":false,"usgs":false,"family":"Saltikov","given":"Chad","email":"","middleInitial":"W","affiliations":[],"preferred":false,"id":663271,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stolz, John F.","contributorId":179305,"corporation":false,"usgs":false,"family":"Stolz","given":"John","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":663272,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Oremland, Ronald S. 0000-0001-7382-0147 roremlan@usgs.gov","orcid":"https://orcid.org/0000-0001-7382-0147","contributorId":931,"corporation":false,"usgs":true,"family":"Oremland","given":"Ronald","email":"roremlan@usgs.gov","middleInitial":"S.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":663273,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70179232,"text":"70179232 - 2017 - Excursions in fluvial (dis)continuity","interactions":[],"lastModifiedDate":"2016-12-22T12:02:38","indexId":"70179232","displayToPublicDate":"2016-12-22T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"Excursions in fluvial (dis)continuity","docAbstract":"<p id=\"sp0030\">Lurking below the twin concepts of connectivity and disconnectivity are their first, and in some ways, richer cousins: continuity and discontinuity. In this paper we explore how continuity and discontinuity represent fundamental and complementary perspectives in fluvial geomorphology, and how these perspectives inform and underlie our conceptions of connectivity in landscapes and rivers. We examine the historical roots of continuum and discontinuum thinking, and how much of our understanding of geomorphology rests on contrasting views of continuity and discontinuity. By continuum thinking we refer to a conception of geomorphic processes as well as geomorphic features that are expressed along continuous gradients without abrupt changes, transitions, or thresholds. Balance of forces, graded streams, and hydraulic geometry are all examples of this perspective. The continuum view has played a prominent role in diverse disciplinary fields, including ecology, paleontology, and evolutionary biology, in large part because it allows us to treat complex phenomena as orderly progressions and invoke or assume equilibrium processes that introduce order and prediction into our sciences.</p><p id=\"sp0035\">In contrast the discontinuous view is a distinct though complementary conceptual framework that incorporates non-uniform, non-progressive, and non-equilibrium thinking into understanding geomorphic processes and landscapes. We distinguish and discuss examples of three different ways in which discontinuous thinking can be expressed: 1) discontinuous spatial arrangements or singular events; 2) specific process domains generally associated with thresholds, either intrinsic or extrinsic; and 3) physical dynamics or changes in state, again often threshold-linked. In moving beyond the continuous perspective, a fertile set of ideas comes into focus: thresholds, non-equilibrium states, heterogeneity, catastrophe. The range of phenomena that is thereby opened up to scientific exploration similarly expands: punctuated episodes of cutting and filling, discretization of landscapes into hierarchies of structure and control, the work of extreme events. Orderly and progressive evolution towards a steady or ideal state is replaced by chaotic episodes of disturbance and recovery. Recent developments in the field of geomorphology suggest that we may be on the cusp of a new paradigm that recognizes that both continuous and discontinuous processes and mechanisms play a role in fluvial processes and landscape evolution with neither holding sway over the other and both needed to see rivers as they are.</p>","language":"English","publisher":"Elsevier","publisherLocation":"New York, NY","doi":"10.1016/j.geomorph.2016.08.033","usgsCitation":"Grant, G., O'Connor, J., and Safran, E., 2017, Excursions in fluvial (dis)continuity: Geomorphology, v. 277, p. 145-153, https://doi.org/10.1016/j.geomorph.2016.08.033.","productDescription":"9 p.","startPage":"145","endPage":"153","ipdsId":"IP-076307","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":332477,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"277","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"585cf4eee4b01224f329bca4","contributors":{"authors":[{"text":"Grant, Gordon E.","contributorId":30881,"corporation":false,"usgs":false,"family":"Grant","given":"Gordon E.","affiliations":[{"id":12647,"text":"U.S. Forest Service, Pacific Northwest Research Station","active":true,"usgs":false}],"preferred":false,"id":656478,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"O'Connor, James E. oconnor@usgs.gov","contributorId":138998,"corporation":false,"usgs":true,"family":"O'Connor","given":"James E.","email":"oconnor@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":656477,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Safran, Elizabeth","contributorId":177641,"corporation":false,"usgs":false,"family":"Safran","given":"Elizabeth","affiliations":[],"preferred":false,"id":656479,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70179246,"text":"70179246 - 2017 - Riparian spiders as sentinels of polychlorinated biphenyl contamination across heterogeneous aquatic ecosystems","interactions":[],"lastModifiedDate":"2017-04-19T16:19:32","indexId":"70179246","displayToPublicDate":"2016-12-22T00:00:00","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":"Riparian spiders as sentinels of polychlorinated biphenyl contamination across heterogeneous aquatic ecosystems","docAbstract":"<div class=\"t m0 x8 h6 y8 ff5 fs4 fc0 sc0 ls0 ws0\">Riparian spiders are being used increasingly to track spatial patterns of contaminants in and ﬂuxing from aquatic ecosystems.However, our understanding of the circumstances under which spiders are effective sentinels of aquatic pollution is limited. The present study tests the hypothesis that riparian spiders may be effectively used to track spatial patterns of sediment pollution by polychlorinated biphenyls (PCBs) in aquatic ecosystems with high habitat heterogeneity. The spatial pattern of ΣPCB concentrations in 2 common families of riparian spiders sampled in 2011 to 2013 generally tracked spatial variation in sediment <span>Σ</span><span>PCB</span>s across all sites within the Manistique River Great Lakes Area of Concern (AOC), a rivermouth ecosystem located on the south shore of the Upper Peninsula, Manistique (MI,USA) that includes harbor, river, backwater, and lake habitats. Sediment <span>Σ</span><span>PCB</span> concentrations normalized for total organic carbon explained 41% of the variation in lipid-normalized spider <span>Σ</span><span>PCB</span> concentrations across 11 sites. Furthermore, 2 common riparian spider taxa (Araneidae and Tetragnathidae) were highly correlated (r2&gt; 0.78) and had similar mean <span>Σ</span><span>PCB</span> concentrations when averaged acrossall years. The results indicate that riparian spiders may be useful sentinels of relative PCB availability to aquatic and riparian food webs in heterogeneous aquatic ecosystems like rivermouths where habitat and contaminant variability may make the use of aquatic taxa lesseffective. Furthermore, the present approach appears robust to heterogeneity in shoreline development and riparian vegetation that support different families of large web-building spiders. <i>Environ Toxicol Chem</i> 2016;9999:1–9. Published 2016 Wiley Periodicals, Inc. on behalf of SETAC. This article is a US government work and, as such, is in the public domain in the United States of America.</div>","language":"English","publisher":"Society of Environmental Toxicology and Chemistry","publisherLocation":"New York, NY","doi":"10.1002/etc.3658","usgsCitation":"Kraus, J.M., Gibson, P., Walters, D.M., and Mills, M.A., 2017, Riparian spiders as sentinels of polychlorinated biphenyl contamination across heterogeneous aquatic ecosystems: Environmental Toxicology and Chemistry, v. 36, no. 5, p. 1278-1286, https://doi.org/10.1002/etc.3658.","productDescription":"9 p.","startPage":"1278","endPage":"1286","ipdsId":"IP-073784","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":470189,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7362337","text":"External Repository"},{"id":332501,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan","otherGeospatial":"Manistique River and Harbor Area of Concern","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -86.26284599304199,\n              45.944226881874826\n            ],\n            [\n              -86.26284599304199,\n              45.973463876826024\n            ],\n            [\n              -86.23847007751465,\n              45.973463876826024\n            ],\n            [\n              -86.23847007751465,\n              45.944226881874826\n            ],\n            [\n              -86.26284599304199,\n              45.944226881874826\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"36","issue":"5","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-20","publicationStatus":"PW","scienceBaseUri":"585cf4f5e4b01224f329bcac","contributors":{"authors":[{"text":"Kraus, Johanna M. 0000-0002-9513-4129 jkraus@usgs.gov","orcid":"https://orcid.org/0000-0002-9513-4129","contributorId":4834,"corporation":false,"usgs":true,"family":"Kraus","given":"Johanna","email":"jkraus@usgs.gov","middleInitial":"M.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":656524,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gibson, Polly P.","contributorId":173584,"corporation":false,"usgs":true,"family":"Gibson","given":"Polly P.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":656550,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walters, David M. 0000-0002-4237-2158 waltersd@usgs.gov","orcid":"https://orcid.org/0000-0002-4237-2158","contributorId":140992,"corporation":false,"usgs":true,"family":"Walters","given":"David","email":"waltersd@usgs.gov","middleInitial":"M.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":656551,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mills, Marc A.","contributorId":141085,"corporation":false,"usgs":false,"family":"Mills","given":"Marc","email":"","middleInitial":"A.","affiliations":[{"id":12772,"text":"USEPA","active":true,"usgs":false}],"preferred":false,"id":656552,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70206539,"text":"70206539 - 2017 - Hydrologic and geomorphic changes resulting from episodic glacial lake outburst floods: Rio Colonia, Patagonia, Chile","interactions":[],"lastModifiedDate":"2019-11-08T10:04:25","indexId":"70206539","displayToPublicDate":"2016-12-21T09:56:21","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Hydrologic and geomorphic changes resulting from episodic glacial lake outburst floods: Rio Colonia, Patagonia, Chile","docAbstract":"<p><span>Glacial lake outburst floods (GLOFs) are a prominent but poorly understood cryospheric hazard in a warming climate. We quantify the hydrologic and geomorphic response to 21 episodic GLOFs that began in April 2008 using multitemporal satellite imagery and field observations. Peak discharge exiting the source lake became progressively muted downstream. At ~40–60 km downstream, where the floods entered and traveled down the main stem Rio Baker, peak discharges were generally &lt; 2000 m</span><sup>3</sup><span> s</span><sup>−1</sup><span>, although these flows were still &gt;1–2 times the peak annual discharge of this system, Chile's largest river by volume. As such, caution must be applied to empirical relationships relating lake volume to peak discharge, as the latter is dependent on where this observation is made along the flood path. The GLOFs and subsequent periods of free drainage resulted in &gt; 40 m of incision, the net removal of ~25 × 10</span><sup>6</sup><span> m</span><sup>3</sup><span>&nbsp;of sediment from the source lake basin, and a nonsteady channel configuration downstream. These results demonstrate that GLOFs sourced from low‐order tributaries can produce significant floods on major main stem rivers, in addition to significantly altering sediment dynamics.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2016GL071374","usgsCitation":"Jacquet, J., McCoy, S., Mcgrath, D., Nimick, D., Fahey, M., O’kuinghttons, J., Friesen, B., and Leidich, J., 2017, Hydrologic and geomorphic changes resulting from episodic glacial lake outburst floods: Rio Colonia, Patagonia, Chile: Geophysical Research Letters, v. 44, no. 2, p. 854-864, https://doi.org/10.1002/2016GL071374.","productDescription":"11 p.","startPage":"854","endPage":"864","ipdsId":"IP-079971","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":470190,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016gl071374","text":"Publisher Index Page"},{"id":369086,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Chile","otherGeospatial":"Cachet‐Colonia‐Baker Valley, Patagonia, Rio Colonia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -73.443603515625,\n              -47.392771444278026\n            ],\n            [\n              -73.004150390625,\n              -47.392771444278026\n            ],\n            [\n              -73.004150390625,\n              -47.04065008156504\n            ],\n            [\n              -73.443603515625,\n              -47.04065008156504\n            ],\n            [\n              -73.443603515625,\n              -47.392771444278026\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"44","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Jacquet, J.","contributorId":220403,"corporation":false,"usgs":false,"family":"Jacquet","given":"J.","email":"","affiliations":[{"id":16686,"text":"University of Nevada, Reno","active":true,"usgs":false}],"preferred":false,"id":774910,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCoy, S.W.","contributorId":192978,"corporation":false,"usgs":false,"family":"McCoy","given":"S.W.","email":"","affiliations":[],"preferred":false,"id":774911,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mcgrath, Daniel 0000-0002-9462-6842 dmcgrath@usgs.gov","orcid":"https://orcid.org/0000-0002-9462-6842","contributorId":145635,"corporation":false,"usgs":true,"family":"Mcgrath","given":"Daniel","email":"dmcgrath@usgs.gov","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":774909,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nimick, David 0000-0002-8532-9192 dnimick@usgs.gov","orcid":"https://orcid.org/0000-0002-8532-9192","contributorId":220407,"corporation":false,"usgs":true,"family":"Nimick","given":"David","email":"dnimick@usgs.gov","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":774915,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fahey, Mark 0000-0002-1853-6992 mjfahey@usgs.gov","orcid":"https://orcid.org/0000-0002-1853-6992","contributorId":220404,"corporation":false,"usgs":true,"family":"Fahey","given":"Mark","email":"mjfahey@usgs.gov","affiliations":[{"id":36171,"text":"National Civil Applications Center","active":true,"usgs":true}],"preferred":true,"id":774912,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"O’kuinghttons, J.","contributorId":220405,"corporation":false,"usgs":false,"family":"O’kuinghttons","given":"J.","email":"","affiliations":[{"id":40165,"text":"Ministry of Public Works, Chile","active":true,"usgs":false}],"preferred":false,"id":774913,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Friesen, B.A.","contributorId":220406,"corporation":false,"usgs":false,"family":"Friesen","given":"B.A.","email":"","affiliations":[{"id":37275,"text":"none","active":true,"usgs":false}],"preferred":false,"id":774914,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Leidich, J.","contributorId":220408,"corporation":false,"usgs":false,"family":"Leidich","given":"J.","affiliations":[{"id":12885,"text":"Patagonia Adventure Expeditions","active":true,"usgs":false}],"preferred":false,"id":774916,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70179186,"text":"70179186 - 2017 - Genetic and grade and tonnage models for sandstone-hosted roll-type uranium deposits, Texas Coastal Plain, USA","interactions":[],"lastModifiedDate":"2018-10-29T09:03:40","indexId":"70179186","displayToPublicDate":"2016-12-21T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2954,"text":"Ore Geology Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Genetic and grade and tonnage models for sandstone-hosted roll-type uranium deposits, Texas Coastal Plain, USA","docAbstract":"<p><span>The coincidence of a number of geologic and climatic factors combined to create conditions favorable for the development of mineable concentrations of uranium hosted by Eocene through Pliocene sandstones in the Texas Coastal Plain. Here 254 uranium occurrences, including 169 deposits, 73 prospects, 6 showings and 4 anomalies, have been identified. About 80&nbsp;million pounds of U</span><sub>3</sub><span>O</span><sub>8</sub><span> have been produced and about 60&nbsp;million pounds of identified producible U</span><sub>3</sub><span>O</span><sub>8</sub><span> remain in place. The development of economic roll-type uranium deposits requires a source, large-scale transport of uranium in groundwater, and deposition in reducing zones within a sedimentary sequence. The weight of the evidence supports a source from thick sequences of volcanic ash and volcaniclastic sediment derived mostly from the Trans-Pecos volcanic field and Sierra Madre Occidental that lie west of the region. The thickest accumulations of source material were deposited and preserved south and west of the San Marcos arch in the Catahoula Formation. By the early Oligocene, a formerly uniformly subtropical climate along the Gulf Coast transitioned to a zoned climate in which the southwestern portion of Texas Coastal Plain was dry, and the eastern portion humid. The more arid climate in the southwestern area supported weathering of volcanic ash source rocks during pedogenesis and early diagenesis, concentration of uranium in groundwater and movement through host sediments. During the middle Tertiary Era, abundant clastic sediments were deposited in thick sequences by bed-load dominated fluvial systems in long-lived channel complexes that provided transmissive conduits favoring transport of uranium-rich groundwater. Groundwater transported uranium through permeable sandstones that were hydrologically connected with source rocks, commonly across formation boundaries driven by isostatic loading and eustatic sea level changes. Uranium roll fronts formed as a result of the interaction of uranium-rich groundwater with either (1) organic-rich debris adjacent to large long-lived fluvial channels and barrier–bar sequences or (2) extrinsic reductants entrained in formation water or discrete gas that migrated into host units via faults and along the flanks of salt domes and shale diapirs. The southwestern portion of the region, the Rio Grande embayment, contains all the necessary factors required for roll-type uranium deposits. However, the eastern portion of the region, the Houston embayment, is challenged by a humid environment and a lack of source rock and transmissive units, which may combine to preclude the deposition of economic deposits. A grade and tonnage model for the Texas Coastal Plain shows that the Texas deposits represent a lower tonnage subset of roll-type deposits that occur around the world, and required aggregation of production centers into deposits based on geologic interpretation for the purpose of conducting a quantitative mineral resource assessment.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.oregeorev.2016.06.013","usgsCitation":"Hall, S.M., Mihalasky, M.J., Tureck, K., Hammarstrom, J.M., and Hannon, M., 2017, Genetic and grade and tonnage models for sandstone-hosted roll-type uranium deposits, Texas Coastal Plain, USA: Ore Geology Reviews, v. 80, p. 716-753, https://doi.org/10.1016/j.oregeorev.2016.06.013.","productDescription":"38 p.","startPage":"716","endPage":"753","ipdsId":"IP-068572","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":332408,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","otherGeospatial":"Texas Coastal Plain","volume":"80","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"585ba2e5e4b01224f329b966","contributors":{"authors":[{"text":"Hall, Susan M. 0000-0002-0931-8694 susanhall@usgs.gov","orcid":"https://orcid.org/0000-0002-0931-8694","contributorId":2481,"corporation":false,"usgs":true,"family":"Hall","given":"Susan","email":"susanhall@usgs.gov","middleInitial":"M.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":656301,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mihalasky, Mark J. 0000-0002-0082-3029 mjm@usgs.gov","orcid":"https://orcid.org/0000-0002-0082-3029","contributorId":3692,"corporation":false,"usgs":true,"family":"Mihalasky","given":"Mark","email":"mjm@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":false,"id":656303,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tureck, Kathleen ktureck@usgs.gov","contributorId":177591,"corporation":false,"usgs":true,"family":"Tureck","given":"Kathleen","email":"ktureck@usgs.gov","affiliations":[],"preferred":true,"id":656304,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hammarstrom, Jane M. 0000-0003-2742-3460 jhammars@usgs.gov","orcid":"https://orcid.org/0000-0003-2742-3460","contributorId":1226,"corporation":false,"usgs":true,"family":"Hammarstrom","given":"Jane","email":"jhammars@usgs.gov","middleInitial":"M.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":656302,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hannon, Mark mhannon@usgs.gov","contributorId":177592,"corporation":false,"usgs":true,"family":"Hannon","given":"Mark","email":"mhannon@usgs.gov","affiliations":[],"preferred":true,"id":656305,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70179183,"text":"70179183 - 2017 - Spatiotemporal patterns of duck nest density and predation risk: a multi-scale analysis of 18 years and more than 10,000 nests","interactions":[],"lastModifiedDate":"2017-07-01T17:13:33","indexId":"70179183","displayToPublicDate":"2016-12-21T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2939,"text":"Oikos","active":true,"publicationSubtype":{"id":10}},"title":"Spatiotemporal patterns of duck nest density and predation risk: a multi-scale analysis of 18 years and more than 10,000 nests","docAbstract":"<p><span>Many avian species are behaviorally-plastic in selecting nest sites, and may shift to new locations or habitats following an unsuccessful breeding attempt. If there is predictable spatial variation in predation risk, the process of many individuals using prior experience to adaptively change nest sites may scale up to create shifting patterns of nest density at a population level. We used 18 years of waterfowl nesting data to assess whether there were areas of consistently high or low predation risk, and whether low-risk areas increased, and high-risk areas decreased in nest density the following year. We created kernel density maps of successful and unsuccessful nests in consecutive years and found no correlation in predation risk and no evidence for adaptive shifts, although nest density was correlated between years. We also examined between-year correlations in nest density and nest success at three smaller spatial scales: individual nesting fields (10–28 ha), 16-ha grid cells and 4-ha grid cells. Here, results were similar across all scales: we found no evidence for year-to-year correlation in nest success but found strong evidence that nest density was correlated between years, and areas of high nest success increased in nest density the following year. Prior research in this system has demonstrated that areas of high nest density have higher nest success, and taken together, our results suggest that ducks may adaptively select nest sites based on the local density of conspecifics, rather than the physical location of last year's nest. In unpredictable environments, current cues, such as the presence of active conspecific nests, may be especially useful in selecting nest sites. The cues birds use to select breeding locations and successfully avoid predators deserve continued attention, especially in systems of conservation concern.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/oik.03728","usgsCitation":"Ringelman, K.M., Eadie, J.M., Ackerman, J., Sih, A., Loughman, D.L., Yarris, G., Oldenburger, S.L., and McLandress, M.R., 2017, Spatiotemporal patterns of duck nest density and predation risk: a multi-scale analysis of 18 years and more than 10,000 nests: Oikos, v. 126, no. 3, p. 332-338, https://doi.org/10.1111/oik.03728.","productDescription":"7 p.","startPage":"332","endPage":"338","ipdsId":"IP-056863","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":332409,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"126","issue":"3","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-13","publicationStatus":"PW","scienceBaseUri":"585ba2e9e4b01224f329b96c","contributors":{"authors":[{"text":"Ringelman, Kevin M.","contributorId":95806,"corporation":false,"usgs":true,"family":"Ringelman","given":"Kevin","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":656327,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eadie, John M.","contributorId":65219,"corporation":false,"usgs":false,"family":"Eadie","given":"John","email":"","middleInitial":"M.","affiliations":[{"id":7082,"text":"University of California - Davis","active":true,"usgs":false}],"preferred":false,"id":656328,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ackerman, Joshua T. 0000-0002-3074-8322 jackerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":147078,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua T.","email":"jackerman@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":656329,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sih, Andrew","contributorId":177597,"corporation":false,"usgs":false,"family":"Sih","given":"Andrew","email":"","affiliations":[],"preferred":false,"id":656330,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Loughman, Daniel L.","contributorId":167556,"corporation":false,"usgs":false,"family":"Loughman","given":"Daniel","email":"","middleInitial":"L.","affiliations":[{"id":24747,"text":"California Waterfowl Association","active":true,"usgs":false}],"preferred":false,"id":656331,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Yarris, Gregory S.","contributorId":115361,"corporation":false,"usgs":true,"family":"Yarris","given":"Gregory S.","affiliations":[],"preferred":false,"id":656332,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Oldenburger, Shaun L.","contributorId":177598,"corporation":false,"usgs":false,"family":"Oldenburger","given":"Shaun","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":656333,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McLandress, M. Robert","contributorId":177599,"corporation":false,"usgs":false,"family":"McLandress","given":"M.","email":"","middleInitial":"Robert","affiliations":[],"preferred":false,"id":656334,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70179155,"text":"70179155 - 2017 - Effects of thermal maturation and thermochemical sulfate reduction on compound-specific sulfur isotopic compositions of organosulfur compounds in Phosphoria oils from the Bighorn Basin, USA","interactions":[],"lastModifiedDate":"2016-12-20T14:03:07","indexId":"70179155","displayToPublicDate":"2016-12-20T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2958,"text":"Organic Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Effects of thermal maturation and thermochemical sulfate reduction on compound-specific sulfur isotopic compositions of organosulfur compounds in Phosphoria oils from the Bighorn Basin, USA","docAbstract":"<p><span>Compound-specific sulfur isotope analysis was applied to a suite of 18 crude oils generated from the Permian Phosphoria Formation in the Bighorn Basin, western USA. These oils were generated at various levels of thermal maturity and some experienced thermochemical sulfate reduction (TSR). This is the first study to examine the effects of thermal maturation on stable sulfur isotopic compositions of individual organosulfur compounds (OSCs) in crude oil. A general trend of </span><sup>34</sup><span>S enrichment in all of the studied compounds with increasing thermal maturity was observed, with the δ</span><sup>34</sup><span>S values of alkyl-benzothiophenes (BTs) tending to be enriched in </span><sup>34</sup><span>S relative to those of the alkyl-dibenzothiophenes (DBTs) in lower-maturity oils. As thermal maturity increases, δ</span><sup>34</sup><span>S values of both BTs and DBTs become progressively heavier, but the difference in the average δ</span><sup>34</sup><span>S value of the BTs and DBTs (Δ</span><sup>34</sup><span>S BT-DBT) decreases. Differences in the isotopic response to thermal stress exhibited by these two compound classes are considered to be the result of relative differences in their thermal stabilities. TSR-altered Bighorn Basin oils have OSCs that are generally enriched in </span><sup>34</sup><span>S relative to non-TSR-altered oils, with the BTs being enriched in </span><sup>34</sup><span>S relative to the DBTs, similar to the findings of previous studies. However, several oils that were previously interpreted to have been exposed to minor TSR have Δ</span><sup>34</sup><span>S BT-DBT values that do not support this interpretation. The δ</span><sup>34</sup><span>S values of the BTs and DBTs in some of these oils suggest that they did not experience TSR, but were derived from a more thermally mature source. The heaviest δ</span><sup>34</sup><span>S values observed in the OSCs are enriched in </span><sup>34</sup><span>S by up to 10‰ relative to that of Permian anhydrite in the Bighorn Basin, suggesting that there may be an alternate or additional source of sulfate in some parts of the basin. These results indicate that the sulfur isotopic composition of OSCs in oil provides a sensitive indicator for the extent of TSR, which cannot be determined from other bulk geochemical parameters. Moreover, when combined with additional geochemical and geologic evidence, the sulfur isotopic composition of OSCs in oils can help to identify the source of sulfate for TSR alteration in petroleum reservoirs.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.orggeochem.2016.10.004","usgsCitation":"Ellis, G.S., Said-Ahamed, W., Lillis, P.G., Shawar, L., and Amrani, A., 2017, Effects of thermal maturation and thermochemical sulfate reduction on compound-specific sulfur isotopic compositions of organosulfur compounds in Phosphoria oils from the Bighorn Basin, USA: Organic Geochemistry, v. 103, p. 63-78, https://doi.org/10.1016/j.orggeochem.2016.10.004.","productDescription":"16 p.","startPage":"63","endPage":"78","ipdsId":"IP-076263","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":332347,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana, Wyoming","otherGeospatial":"Bighorn Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -109.259033203125,\n              43.58834891179792\n            ],\n            [\n              -109.259033203125,\n              45.263288531496876\n            ],\n            [\n              -107.16064453125,\n              45.263288531496876\n            ],\n            [\n              -107.16064453125,\n              43.58834891179792\n            ],\n            [\n              -109.259033203125,\n              43.58834891179792\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"103","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"585a51a3e4b01224f329b5d5","contributors":{"authors":[{"text":"Ellis, Geoffrey S. 0000-0003-4519-3320 gsellis@usgs.gov","orcid":"https://orcid.org/0000-0003-4519-3320","contributorId":1058,"corporation":false,"usgs":true,"family":"Ellis","given":"Geoffrey","email":"gsellis@usgs.gov","middleInitial":"S.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":656207,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Said-Ahamed, Ward","contributorId":25740,"corporation":false,"usgs":true,"family":"Said-Ahamed","given":"Ward","email":"","affiliations":[],"preferred":false,"id":656208,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lillis, Paul G. 0000-0002-7508-1699 plillis@usgs.gov","orcid":"https://orcid.org/0000-0002-7508-1699","contributorId":1817,"corporation":false,"usgs":true,"family":"Lillis","given":"Paul","email":"plillis@usgs.gov","middleInitial":"G.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":656209,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shawar, Lubna","contributorId":177555,"corporation":false,"usgs":false,"family":"Shawar","given":"Lubna","email":"","affiliations":[],"preferred":false,"id":656210,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Amrani, Alon","contributorId":49258,"corporation":false,"usgs":true,"family":"Amrani","given":"Alon","email":"","affiliations":[],"preferred":false,"id":656211,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70180999,"text":"70180999 - 2017 - Scaling-up camera traps: monitoring the planet's biodiversity with networks of remote sensors","interactions":[],"lastModifiedDate":"2017-02-16T14:36:58","indexId":"70180999","displayToPublicDate":"2016-12-20T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1701,"text":"Frontiers in Ecology and the Environment","active":true,"publicationSubtype":{"id":10}},"title":"Scaling-up camera traps: monitoring the planet's biodiversity with networks of remote sensors","docAbstract":"<p><span>Countries committed to implementing the Convention on Biological Diversity's 2011–2020 strategic plan need effective tools to monitor global trends in biodiversity. Remote cameras are a rapidly growing technology that has great potential to transform global monitoring for terrestrial biodiversity and can be an important contributor to the call for measuring Essential Biodiversity Variables. Recent advances in camera technology and methods enable researchers to estimate changes in abundance and distribution for entire communities of animals and to identify global drivers of biodiversity trends. We suggest that interconnected networks of remote cameras will soon monitor biodiversity at a global scale, help answer pressing ecological questions, and guide conservation policy. This global network will require greater collaboration among remote-camera studies and citizen scientists, including standardized metadata, shared protocols, and security measures to protect records about sensitive species. With modest investment in infrastructure, and continued innovation, synthesis, and collaboration, we envision a global network of remote cameras that not only provides real-time biodiversity data but also serves to connect people with nature.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/fee.1448","usgsCitation":"Steenweg, R., Hebblewhite, M., Kays, R., Ahumada, J.A., Fisher, J.T., Burton, C., Townsend, S.E., Carbone, C., Rowcliffe, J.M., Whittington, J., Brodie, J., Royle, A., Switalski, A., Clevenger, A.P., Heim, N., and Rich, L.N., 2017, Scaling-up camera traps: monitoring the planet's biodiversity with networks of remote sensors: Frontiers in Ecology and the Environment, v. 15, no. 1, p. 26-34, https://doi.org/10.1002/fee.1448.","productDescription":"9 p.","startPage":"26","endPage":"34","ipdsId":"IP-074156","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":470191,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/fee.1448","text":"Publisher Index Page"},{"id":335182,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"1","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-20","publicationStatus":"PW","scienceBaseUri":"589ffefae4b099f50d3e0443","contributors":{"authors":[{"text":"Steenweg, Robin","contributorId":179366,"corporation":false,"usgs":false,"family":"Steenweg","given":"Robin","email":"","affiliations":[],"preferred":false,"id":663393,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hebblewhite, Mark","contributorId":69455,"corporation":false,"usgs":true,"family":"Hebblewhite","given":"Mark","affiliations":[],"preferred":false,"id":663394,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kays, Roland","contributorId":83815,"corporation":false,"usgs":true,"family":"Kays","given":"Roland","affiliations":[],"preferred":false,"id":663395,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ahumada, Jorge A.","contributorId":14788,"corporation":false,"usgs":true,"family":"Ahumada","given":"Jorge","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":663396,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fisher, Jason T.","contributorId":179367,"corporation":false,"usgs":false,"family":"Fisher","given":"Jason","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":663397,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Burton, Cole","contributorId":179368,"corporation":false,"usgs":false,"family":"Burton","given":"Cole","email":"","affiliations":[],"preferred":false,"id":663398,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Townsend, Susan E.","contributorId":179369,"corporation":false,"usgs":false,"family":"Townsend","given":"Susan","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":663399,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Carbone, Chris","contributorId":179370,"corporation":false,"usgs":false,"family":"Carbone","given":"Chris","email":"","affiliations":[],"preferred":false,"id":663400,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rowcliffe, J. Marcus","contributorId":179371,"corporation":false,"usgs":false,"family":"Rowcliffe","given":"J.","email":"","middleInitial":"Marcus","affiliations":[],"preferred":false,"id":663401,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Whittington, Jesse","contributorId":179372,"corporation":false,"usgs":false,"family":"Whittington","given":"Jesse","email":"","affiliations":[],"preferred":false,"id":663402,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Brodie, Jedediah","contributorId":63706,"corporation":false,"usgs":true,"family":"Brodie","given":"Jedediah","affiliations":[],"preferred":false,"id":663403,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Royle, J. Andrew 0000-0003-3135-2167 aroyle@usgs.gov","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":146229,"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":true,"id":663153,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Switalski, Adam","contributorId":179373,"corporation":false,"usgs":false,"family":"Switalski","given":"Adam","email":"","affiliations":[],"preferred":false,"id":663404,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Clevenger, Anthony P.","contributorId":113259,"corporation":false,"usgs":true,"family":"Clevenger","given":"Anthony","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":663405,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Heim, Nicole","contributorId":179374,"corporation":false,"usgs":false,"family":"Heim","given":"Nicole","email":"","affiliations":[],"preferred":false,"id":663406,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Rich, Lindsey N.","contributorId":42119,"corporation":false,"usgs":true,"family":"Rich","given":"Lindsey","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":663407,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}}
,{"id":70179127,"text":"70179127 - 2017 - Mercury contamination and stable isotopes reveal variability in foraging ecology of generalist California gulls","interactions":[],"lastModifiedDate":"2016-12-19T09:10:36","indexId":"70179127","displayToPublicDate":"2016-12-19T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Mercury contamination and stable isotopes reveal variability in foraging ecology of generalist California gulls","docAbstract":"<p><span>Environmental contaminants are a concern for animal health, but contaminant exposure can also be used as a tracer of foraging ecology. In particular, mercury (Hg) concentrations are highly variable among aquatic and terrestrial food webs as a result of habitat- and site-specific biogeochemical processes that produce the bioaccumulative form, methylmercury (MeHg). We used stable isotopes and total Hg (THg) concentrations of a generalist consumer, the California gull (</span><i>Larus californicus</i><span>), to examine foraging ecology and illustrate the utility of using Hg contamination as an ecological tracer under certain conditions. We identified four main foraging clusters of gulls during pre-breeding and breeding, using a traditional approach based on light stable isotopes. The foraging cluster with the highest </span><i>δ</i><sup>15</sup><span>N and </span><i>δ</i><sup>34</sup><span>S values in gulls (cluster 4) had mean blood THg concentrations 614% (pre-breeding) and 250% (breeding) higher than gulls with the lowest isotope values (cluster 1). Using a traditional approach of stable-isotope mixing models, we showed that breeding birds with a higher proportion of garbage in their diet (cluster 2: 63–82% garbage) corresponded to lower THg concentrations and lower </span><i>δ</i><sup>15</sup><span>N and </span><i>δ</i><sup>34</sup><span>S values. In contrast, gull clusters with higher THg concentrations, which were more enriched in </span><sup>15</sup><span>N and </span><sup>34</sup><span>S isotopes, consumed a higher proportion of more natural, estuarine prey. </span><i>δ</i><sup>34</sup><span>S values, which change markedly across the terrestrial to marine habitat gradient, were positively correlated with blood THg concentrations in gulls. The linkage we observed between stable isotopes and THg concentrations suggests that Hg contamination can be used as an additional tool for understanding animal foraging across coastal habitat gradients.</span></p>","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam","doi":"10.1016/j.ecolind.2016.11.025","usgsCitation":"Peterson, S.H., Ackerman, J., and Eagles-Smith, C.A., 2017, Mercury contamination and stable isotopes reveal variability in foraging ecology of generalist California gulls: Ecological Indicators, v. 74, p. 205-215, https://doi.org/10.1016/j.ecolind.2016.11.025.","productDescription":"11 p.","startPage":"205","endPage":"215","ipdsId":"IP-077576","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":332261,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"74","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58590003e4b03639a6025e1d","contributors":{"authors":[{"text":"Peterson, Sarah H. 0000-0003-2773-3901 sepeterson@usgs.gov","orcid":"https://orcid.org/0000-0003-2773-3901","contributorId":167181,"corporation":false,"usgs":true,"family":"Peterson","given":"Sarah","email":"sepeterson@usgs.gov","middleInitial":"H.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":656109,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ackerman, Joshua T. 0000-0002-3074-8322 jackerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":147078,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua T.","email":"jackerman@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":656108,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eagles-Smith, Collin A. 0000-0003-1329-5285 ceagles-smith@usgs.gov","orcid":"https://orcid.org/0000-0003-1329-5285","contributorId":505,"corporation":false,"usgs":true,"family":"Eagles-Smith","given":"Collin","email":"ceagles-smith@usgs.gov","middleInitial":"A.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":656110,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70206542,"text":"70206542 - 2017 - Links between atmosphere, ocean, and cryosphere from two decades of microseism observations on the Antarctic Peninsula","interactions":[],"lastModifiedDate":"2019-11-08T09:55:46","indexId":"70206542","displayToPublicDate":"2016-12-16T09:51:10","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5739,"text":"Journal of Geophysical Research: Earth Surface","onlineIssn":"2169-9011","active":true,"publicationSubtype":{"id":10}},"title":"Links between atmosphere, ocean, and cryosphere from two decades of microseism observations on the Antarctic Peninsula","docAbstract":"<p><span>The lack of landmasses, climatological low pressure, and strong circumpolar westerly winds between the latitudes of 50°S to 65°S produce exceptional storm‐driven wave conditions in the Southern Ocean. This combination makes the Antarctic Peninsula one of Earth's most notable regions of high‐amplitude wave activity and thus, ocean‐swell‐driven microseism noise in both the primary (direct wave‐coastal region interactions) and secondary (direct ocean floor forcing due to interacting wave trains) period bands. Microseism observations are examined across 23&nbsp;years (1993–2015) from Palmer Station (PMSA), on the west coast of the Antarctic Peninsula, and from East Falkland Island (EFI). These records provide a spatially integrative measure of both Southern Ocean wave amplitudes and the interactions between ocean waves and the solid Earth in the presence of sea ice, which can reduce wave coupling with the continental shelf. We utilize a spatiotemporal correlation‐based approach to illuminate how the distribution of sea ice influences seasonal microseism power. We characterize primary and secondary microseism power due to variations in sea ice and find that primary microseism energy is both more sensitive to sea ice and more capable of propagating across ocean basins than secondary microseism energy. During positive phases of the Southern Annular Mode, sea ice is reduced in the Bellingshausen Sea and overall storm activity in the Drake Passage increases, thus strongly increasing microseism power levels.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2016JF004098","usgsCitation":"Anthony, R.E., Aster, R.C., and Mcgrath, D., 2017, Links between atmosphere, ocean, and cryosphere from two decades of microseism observations on the Antarctic Peninsula: Journal of Geophysical Research: Earth Surface, v. 122, no. 1, p. 153-166, https://doi.org/10.1002/2016JF004098.","productDescription":"14 p.","startPage":"153","endPage":"166","ipdsId":"IP-080931","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":470192,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016jf004098","text":"Publisher Index Page"},{"id":369085,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Antarctica","otherGeospatial":"Antarctic Penninsula","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -89.296875,\n              -82.9403268016951\n            ],\n            [\n              2.4609375,\n              -82.9403268016951\n            ],\n            [\n              2.4609375,\n              -60.32694774299839\n            ],\n            [\n              -89.296875,\n              -60.32694774299839\n            ],\n            [\n              -89.296875,\n              -82.9403268016951\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"122","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Anthony, Robert E.","contributorId":220411,"corporation":false,"usgs":false,"family":"Anthony","given":"Robert","email":"","middleInitial":"E.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":774918,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aster, Richard C. 0000-0002-0821-4906","orcid":"https://orcid.org/0000-0002-0821-4906","contributorId":194410,"corporation":false,"usgs":false,"family":"Aster","given":"Richard","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":774919,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mcgrath, Daniel 0000-0002-9462-6842 dmcgrath@usgs.gov","orcid":"https://orcid.org/0000-0002-9462-6842","contributorId":145635,"corporation":false,"usgs":true,"family":"Mcgrath","given":"Daniel","email":"dmcgrath@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":774917,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70181007,"text":"70181007 - 2017 - A global database of ant species abundances","interactions":[],"lastModifiedDate":"2017-03-03T11:27:20","indexId":"70181007","displayToPublicDate":"2016-12-16T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"A global database of ant species abundances","docAbstract":"<p><span>What forces structure ecological assemblages? A key limitation to general insights about assemblage structure is the availability of data that are collected at a small spatial grain (local assemblages) and a large spatial extent (global coverage). Here, we present published and unpublished data from 51,388 ant abundance and occurrence records of more than 2693 species and 7953 morphospecies from local assemblages collected at 4212 locations around the world. Ants were selected because they are diverse and abundant globally, comprise a large fraction of animal biomass in most terrestrial communities, and are key contributors to a range of ecosystem functions. Data were collected between 1949 and 2014, and include, for each geo-referenced sampling site, both the identity of the ants collected and details of sampling design, habitat type and degree of disturbance. The aim of compiling this dataset was to provide comprehensive species abundance data in order to test relationships between assemblage structure and environmental and biogeographic factors. Data were collected using a variety of standardised methods, such as pitfall and Winkler traps, and will be valuable for studies investigating large-scale forces structuring local assemblages. Understanding such relationships is particularly critical under current rates of global change. We encourage authors holding additional data on systematically collected ant assemblages, especially those in dry and cold, and remote areas, to contact us and contribute their data to this growing dataset.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecy.1682","usgsCitation":"Gibb, H., Dunn, R.R., Sanders, N.J., Grossman, B.F., Photakis, M., Abril, S., Agosti, D., Andersen, A.N., Angulo, E., Armbrecht, I., Arnan, X., Baccaro, F.B., Bishop, T.R., Boulay, R., Bruhl, C., Castracani, C., Cerda, X., Del Toro, I., Delsinne, T., Diaz, M., Donoso, D.A., Ellison, A.M., Enriquez, M.L., Fayle, T.M., Feener, D.H., Fisher, B.L., Fisher, R.N., Fitpatrick, M.C., Gomez, C., Gotelli, N.J., Gove, A., Grasso, D.A., Groc, S., Guenard, B., Gunawardene, N., Heterick, B., Hoffmann, B., Janda, M., Jenkins, C., Kaspari, M., Klimes, P., Lach, L., Laeger, T., Lattke, J., Leponce, M., Lessard, J., Longino, J., Lucky, A., Luke, S.H., Majer, J., McGlynn, T.P., Menke, S., Mezger, D., Mori, A., Moses, J., Munyai, T.C., Pacheco, R., Paknia, O., Pearce-Duvet, J., Pfeiffer, M., Philpott, S.M., Resasco, J., Retana, J., Silva, R.R., Sorger, M.D., Souza, J., Suarez, A.V., Tista, M., Vasconcelos, H.L., Vonshak, M., Weiser, M.D., Yates, M., and Parr, C.L., 2017, A global database of ant species abundances: Ecology, v. 98, no. 3, p. 883-884, https://doi.org/10.1002/ecy.1682.","productDescription":"2 p.","startPage":"883","endPage":"884","ipdsId":"IP-081798","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":470194,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/ecy.1682","text":"External Repository"},{"id":335179,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"98","issue":"3","publishingServiceCenter":{"id":1,"text":"Sacramento 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Merav","contributorId":179290,"corporation":false,"usgs":false,"family":"Vonshak","given":"Merav","email":"","affiliations":[],"preferred":false,"id":663240,"contributorType":{"id":1,"text":"Authors"},"rank":70},{"text":"Weiser, Michael D.","contributorId":179291,"corporation":false,"usgs":false,"family":"Weiser","given":"Michael","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":663241,"contributorType":{"id":1,"text":"Authors"},"rank":71},{"text":"Yates, Michelle","contributorId":179292,"corporation":false,"usgs":false,"family":"Yates","given":"Michelle","email":"","affiliations":[],"preferred":false,"id":663242,"contributorType":{"id":1,"text":"Authors"},"rank":72},{"text":"Parr, Catherine L.","contributorId":179293,"corporation":false,"usgs":false,"family":"Parr","given":"Catherine","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":663243,"contributorType":{"id":1,"text":"Authors"},"rank":73}]}}
,{"id":70179084,"text":"70179084 - 2017 - Organic contamination in tree swallow (<i>Tachycineta bicolor</i>) nestlings at United States and binational great Lakes Areas of Concern","interactions":[],"lastModifiedDate":"2017-02-24T10:47:05","indexId":"70179084","displayToPublicDate":"2016-12-15T00:00:00","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":"Organic contamination in tree swallow (<i>Tachycineta bicolor</i>) nestlings at United States and binational great Lakes Areas of Concern","docAbstract":"<p><span>Contaminant exposure of tree swallows, </span><i>Tachycineta bicolor</i><span>, nesting in 27 Areas of Concern (AOCs) in the Great Lakes basin was assessed from 2010 to 2014 to assist managers and regulators in their assessments of Great Lakes AOCs. Contaminant concentrations in nestlings from AOCs were compared with those in nestlings from nearby non-AOC sites. Polychlorinated biphenyl (PCB) and polybrominated diphenyl ether concentrations in tree swallow nestling carcasses at 30% and 33% of AOCs, respectively, were below the mean concentration for non-AOCs. Polycyclic aromatic hydrocarbon (PAH) concentrations in nestling stomach contents and perfluorinated compound concentrations in nestling plasma at 67% and 64% of AOCs, respectively, were below the mean concentration for non-AOCs. Concentrations of PCBs in nestling carcasses were elevated at some AOCs but modest compared with highly PCB-contaminated sites where reproductive effects have been documented. Concentrations of PAHs in diet were sufficiently elevated at some AOCs to elicit a measurable physiological response. Among AOCs, concentrations of the perfluorinated compound perfluorooctane sulfonate in plasma were the highest on the River Raisin (MI, USA; geometric mean 330 ng/mL) but well below an estimated toxicity reference value (1700 ng/mL). Both PAH and PCB concentrations in nestling stomach contents and PCBs in carcasses were significantly correlated with concentrations in sediment previously reported, thereby reinforcing the utility of tree swallows to assess bioavailability of sediment contamination.</span></p>","language":"English","publisher":"Society of Environmental Toxicology and Chemistry","doi":"10.1002/etc.3598","usgsCitation":"Custer, T.W., Custer, C.M., Dummer, P.M., Goldberg, D.R., Franson, J.C., and Erickson, R.A., 2017, Organic contamination in tree swallow (<i>Tachycineta bicolor</i>) nestlings at United States and binational great Lakes Areas of Concern: Environmental Toxicology and Chemistry, v. 36, no. 3, p. 735-748, https://doi.org/10.1002/etc.3598.","productDescription":"14 p.","startPage":"735","endPage":"748","ipdsId":"IP-073356","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":332180,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"3","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-19","publicationStatus":"PW","scienceBaseUri":"5853ba38e4b0e2663625f2aa","contributors":{"authors":[{"text":"Custer, Thomas W. 0000-0003-3170-6519 tcuster@usgs.gov","orcid":"https://orcid.org/0000-0003-3170-6519","contributorId":2835,"corporation":false,"usgs":true,"family":"Custer","given":"Thomas","email":"tcuster@usgs.gov","middleInitial":"W.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":655975,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Custer, Christine M. 0000-0003-0500-1582 ccuster@usgs.gov","orcid":"https://orcid.org/0000-0003-0500-1582","contributorId":1143,"corporation":false,"usgs":true,"family":"Custer","given":"Christine","email":"ccuster@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":655976,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dummer, Paul M. 0000-0002-2055-9480 pdummer@usgs.gov","orcid":"https://orcid.org/0000-0002-2055-9480","contributorId":3015,"corporation":false,"usgs":true,"family":"Dummer","given":"Paul","email":"pdummer@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":655977,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Goldberg, Diana R. 0000-0001-8540-8512 dgoldberg@usgs.gov","orcid":"https://orcid.org/0000-0001-8540-8512","contributorId":5739,"corporation":false,"usgs":true,"family":"Goldberg","given":"Diana","email":"dgoldberg@usgs.gov","middleInitial":"R.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":false,"id":655978,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Franson, J. Christian 0000-0002-0251-4238 jfranson@usgs.gov","orcid":"https://orcid.org/0000-0002-0251-4238","contributorId":177499,"corporation":false,"usgs":true,"family":"Franson","given":"J.","email":"jfranson@usgs.gov","middleInitial":"Christian","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":655979,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Erickson, Richard A. 0000-0003-4649-482X rerickson@usgs.gov","orcid":"https://orcid.org/0000-0003-4649-482X","contributorId":5455,"corporation":false,"usgs":true,"family":"Erickson","given":"Richard","email":"rerickson@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":655980,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70179088,"text":"70179088 - 2017 - A multimodal wave spectrum-based approach for statistical downscaling of local wave climate","interactions":[],"lastModifiedDate":"2017-02-24T10:48:29","indexId":"70179088","displayToPublicDate":"2016-12-15T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2426,"text":"Journal of Physical Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"A multimodal wave spectrum-based approach for statistical downscaling of local wave climate","docAbstract":"<p><span>Characterization of wave climate by bulk wave parameters is insufficient for many coastal studies, including those focused on assessing coastal hazards and long-term wave climate influences on coastal evolution. This issue is particularly relevant for studies using statistical downscaling of atmospheric fields to local wave conditions, which are often multimodal in large ocean basins (e.g. the Pacific). Swell may be generated in vastly different wave generation regions, yielding complex wave spectra that are inadequately represented by a single set of bulk wave parameters. Furthermore, the relationship between atmospheric systems and local wave conditions is complicated by variations in arrival time of wave groups from different parts of the basin. Here, we address these two challenges by improving upon the spatiotemporal definition of the atmospheric predictor used in statistical downscaling of local wave climate. The improved methodology separates the local wave spectrum into “wave families,” defined by spectral peaks and discrete generation regions, and relates atmospheric conditions in distant regions of the ocean basin to local wave conditions by incorporating travel times computed from effective energy flux across the ocean basin. When applied to locations with multimodal wave spectra, including Southern California and Trujillo, Peru, the new methodology improves the ability of the statistical model to project significant wave height, peak period, and direction for each wave family, retaining more information from the full wave spectrum. This work is the base of statistical downscaling by weather types, which has recently been applied to coastal flooding and morphodynamic applications.</span></p>","language":"English","publisher":"American Meteorological Society","publisherLocation":"Boston, MA","doi":"10.1175/JPO-D-16-0191.1","usgsCitation":"Hegermiller, C., Antolinez, J.A., Rueda, A.C., Camus, P., Perez, J., Erikson, L.H., Barnard, P., and Mendez, F.J., 2017, A multimodal wave spectrum-based approach for statistical downscaling of local wave climate: Journal of Physical Oceanography, v. 47, p. 375-386, https://doi.org/10.1175/JPO-D-16-0191.1.","productDescription":"12 p.","startPage":"375","endPage":"386","ipdsId":"IP-079831","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":461817,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1175/jpo-d-16-0191.1","text":"External Repository"},{"id":332172,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"47","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5853ba36e4b0e2663625f2a4","chorus":{"doi":"10.1175/jpo-d-16-0191.1","url":"http://dx.doi.org/10.1175/jpo-d-16-0191.1","publisher":"American Meteorological Society","authors":"Hegermiller C. A., Antolinez J. A. A., Rueda A., Camus P., Perez J., Erikson L. H., Barnard P. L., Mendez F. J.","journalName":"Journal of Physical Oceanography","publicationDate":"2/2017","auditedOn":"2/15/2017","publiclyAccessibleDate":"2/6/2018"},"contributors":{"authors":[{"text":"Hegermiller, Christie 0000-0002-6383-7508 chegermiller@usgs.gov","orcid":"https://orcid.org/0000-0002-6383-7508","contributorId":149010,"corporation":false,"usgs":true,"family":"Hegermiller","given":"Christie","email":"chegermiller@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":656010,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Antolinez, Jose A.A.","contributorId":177510,"corporation":false,"usgs":false,"family":"Antolinez","given":"Jose","email":"","middleInitial":"A.A.","affiliations":[],"preferred":false,"id":656011,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rueda, Ana C.","contributorId":177511,"corporation":false,"usgs":false,"family":"Rueda","given":"Ana","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":656012,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Camus, Paula","contributorId":177512,"corporation":false,"usgs":false,"family":"Camus","given":"Paula","email":"","affiliations":[],"preferred":false,"id":656013,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Perez, Jorge","contributorId":177513,"corporation":false,"usgs":false,"family":"Perez","given":"Jorge","email":"","affiliations":[],"preferred":false,"id":656014,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Erikson, Li H. 0000-0002-8607-7695 lerikson@usgs.gov","orcid":"https://orcid.org/0000-0002-8607-7695","contributorId":149963,"corporation":false,"usgs":true,"family":"Erikson","given":"Li","email":"lerikson@usgs.gov","middleInitial":"H.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":656015,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Barnard, Patrick L. 0000-0003-1414-6476 pbarnard@usgs.gov","orcid":"https://orcid.org/0000-0003-1414-6476","contributorId":147147,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick L.","email":"pbarnard@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":656016,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mendez, Fernando J.","contributorId":177514,"corporation":false,"usgs":false,"family":"Mendez","given":"Fernando","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":656017,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70178111,"text":"70178111 - 2017 - Observations of seismicity and ground motion in the northeast U.S. Atlantic margin from ocean bottom seismometer data","interactions":[],"lastModifiedDate":"2017-11-18T12:11:31","indexId":"70178111","displayToPublicDate":"2016-12-13T17:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Observations of seismicity and ground motion in the northeast U.S. Atlantic margin from ocean bottom seismometer data","docAbstract":"<p>Earthquake data from two short-period ocean-bottom seismometer (OBS) networks deployed for over a year on the continental slope off New York and southern New England were used to evaluate seismicity and ground motions along the continental margin. Our OBS networks located only one earthquake of M<sub>c</sub>∼1.5 near the shelf edge during six months of recording, suggesting that seismic activity (M<sub>Lg</sub>&gt;3.0) of the margin as far as 150–200 km offshore is probably successfully monitored by land stations without the need for OBS deployments. The spectral acceleration from two local earthquakes recorded by the OBS was found to be generally similar to the acceleration from these earthquakes recorded at several seismic stations on land and to hybrid empirical acceleration relationships for eastern North America. Therefore, the seismic attenuation used for eastern North America can be extended in this region at least to the continental slope. However, additional offshore studies are needed to verify these preliminary conclusions.</p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220160079","usgsCitation":"Flores, C., ten Brink, U., McGuire, J.J., and Collins, J., 2017, Observations of seismicity and ground motion in the northeast U.S. Atlantic margin from ocean bottom seismometer data: Seismological Research Letters, v. 88, no. 1, p. 23-31, https://doi.org/10.1785/0220160079.","productDescription":"9 p.","startPage":"23","endPage":"31","ipdsId":"IP-079590","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":470195,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/1912/8672","text":"External Repository"},{"id":332087,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -73,\n              37.5\n            ],\n            [\n              -73,\n              41.5\n            ],\n            [\n              -69,\n              41.5\n            ],\n            [\n              -69,\n              37.5\n            ],\n            [\n              -73,\n              37.5\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"88","issue":"1","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-02","publicationStatus":"PW","scienceBaseUri":"585116b5e4b08138bf1abd42","contributors":{"authors":[{"text":"Flores, Claudia cflores@usgs.gov","contributorId":4265,"corporation":false,"usgs":true,"family":"Flores","given":"Claudia","email":"cflores@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":655841,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"ten Brink, Uri S. 0000-0001-6858-3001 utenbrink@usgs.gov","orcid":"https://orcid.org/0000-0001-6858-3001","contributorId":127560,"corporation":false,"usgs":true,"family":"ten Brink","given":"Uri S.","email":"utenbrink@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":false,"id":655842,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McGuire, Jeffrey J. 0000-0001-9235-2166 jmcguire@whoi.edu","orcid":"https://orcid.org/0000-0001-9235-2166","contributorId":177447,"corporation":false,"usgs":false,"family":"McGuire","given":"Jeffrey","email":"jmcguire@whoi.edu","middleInitial":"J.","affiliations":[{"id":6706,"text":"Woods Hole Oceanographic Institution,","active":true,"usgs":false}],"preferred":false,"id":655843,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Collins, John A. jcollins@whoi.edu","contributorId":177449,"corporation":false,"usgs":false,"family":"Collins","given":"John A.","email":"jcollins@whoi.edu","affiliations":[{"id":6706,"text":"Woods Hole Oceanographic Institution,","active":true,"usgs":false}],"preferred":false,"id":655844,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70178840,"text":"70178840 - 2017 - A rare <i>Uroglena</i> bloom in Beaver Lake, Arkansas, spring 2015","interactions":[],"lastModifiedDate":"2017-03-22T14:54:33","indexId":"70178840","displayToPublicDate":"2016-12-09T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2592,"text":"Lake and Reservoir Management","active":true,"publicationSubtype":{"id":10}},"title":"A rare <i>Uroglena</i> bloom in Beaver Lake, Arkansas, spring 2015","docAbstract":"<p><span>A combination of factors triggered a </span><i>Uroglena volvox</i><span> bloom and taste and odor event in Beaver Lake, a water-supply reservoir in northwest Arkansas, in late April 2015. Factors contributing to the bloom included increased rainfall and runoff containing increased concentrations of dissolved organic carbon, followed by a stable pool, low nutrient concentrations, and an expansion of lake surface area and littoral zone. This was the first time </span><i>U. volvox</i><span> was identified in Beaver Lake and the first time it was recognized as a source of taste and odor. Routine water quality samples happened to be collected by the US Geological Survey and the Beaver Water District throughout the reservoir during the bloom—. Higher than normal rainfall in March 2015 increased the pool elevation in Beaver Lake by 2.3&nbsp;m (by early April), increased the surface area by 10%, and increased the littoral zone by 1214 ha; these conditions persisted for 38&nbsp;days, resulting from flood water being retained behind the dam. Monitoring programs that cover a wide range of reservoir features, including dissolved organic carbon, zooplankton, and phytoplankton, are valuable in explaining unusual events such as this </span><i>Uroglena</i><span> bloom.</span></p>","language":"English","publisher":"Taylor and Francis","doi":"10.1080/10402381.2016.1238427","usgsCitation":"Green, W.R., and Hufhines, B., 2017, A rare <i>Uroglena</i> bloom in Beaver Lake, Arkansas, spring 2015: Lake and Reservoir Management, v. 33, no. 1, p. 8-13, https://doi.org/10.1080/10402381.2016.1238427.","productDescription":"6 p.","startPage":"8","endPage":"13","ipdsId":"IP-069411","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":331759,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas","otherGeospatial":"Beaver Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -94.14047241210938,\n              35.905736972317364\n            ],\n            [\n              -94.14047241210938,\n              36.45553145640271\n            ],\n            [\n              -93.67630004882811,\n              36.45553145640271\n            ],\n            [\n              -93.67630004882811,\n              35.905736972317364\n            ],\n            [\n              -94.14047241210938,\n              35.905736972317364\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"33","issue":"1","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-07","publicationStatus":"PW","scienceBaseUri":"584bd0dae4b077fc20250df6","contributors":{"authors":[{"text":"Green, William R. wrgreen@usgs.gov","contributorId":770,"corporation":false,"usgs":true,"family":"Green","given":"William","email":"wrgreen@usgs.gov","middleInitial":"R.","affiliations":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":655299,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hufhines, Brad","contributorId":177317,"corporation":false,"usgs":false,"family":"Hufhines","given":"Brad","email":"","affiliations":[],"preferred":false,"id":655301,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70176605,"text":"70176605 - 2017 - A trans-national monarch butterfly population model and implications for regional conservation priorities","interactions":[],"lastModifiedDate":"2020-09-01T14:14:13.510333","indexId":"70176605","displayToPublicDate":"2016-12-09T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1455,"text":"Ecological Entomology","active":true,"publicationSubtype":{"id":10}},"title":"A trans-national monarch butterfly population model and implications for regional conservation priorities","docAbstract":"<p>1. The monarch has undergone considerable population declines over the past decade, and the governments of Mexico, Canada, and the United States have agreed to work together to conserve the species.</p><p>2. Given limited resources, understanding where to focus conservation action is key for widespread species like monarchs. To support planning for continental-scale monarch habitat restoration, we address the question of where restoration efforts are likely to have the largest impacts on monarch butterfly (<i>Danaus plexippus</i> Linn.) population growth rates.</p><p>3. We present a spatially explicit demographic model simulating the multi-generational annual cycle of the eastern monarch population, and use the model to examine management scenarios, some of which focus on particular regions of North America.</p><p>4. Improving the monarch habitat in the north central or southern parts of the monarch range yields a slightly greater increase in the population growth rate than restoration in other regions. However, combining restoration efforts across multiple regions yields population growth rates above 1 with smaller simulated improvements in habitat per region than single-region strategies.</p><p>5. <i><strong>S</strong><strong>ynthesis and applications:</strong></i> These findings suggest that conservation investment in projects across the full monarch range will be more effective than focusing on one or a few regions, and will require international cooperation across many land use categories.</p>","language":"English","publisher":"Wiley","doi":"10.1111/een.12351","usgsCitation":"Oberhauser, K., Wiederholt, R., Diffendorfer, J., Semmens, D.J., Ries, L., Thogmartin, W.E., Lopez-Hoffman, L., and Semmens, B., 2017, A trans-national monarch butterfly population model and implications for regional conservation priorities: Ecological Entomology, v. 42, no. 1, p. 51-60, https://doi.org/10.1111/een.12351.","productDescription":"10 p.","startPage":"51","endPage":"60","ipdsId":"IP-068737","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":331812,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"42","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-21","publicationStatus":"PW","scienceBaseUri":"584bd0dbe4b077fc20250dfa","chorus":{"doi":"10.1111/een.12351","url":"http://dx.doi.org/10.1111/een.12351","publisher":"Wiley-Blackwell","authors":"OBERHAUSER KAREN, WIEDERHOLT RUSCENA, DIFFENDORFER JAY E., SEMMENS DARIUS, RIES LESLIE, THOGMARTIN WAYNE E., LOPEZ-HOFFMAN LAURA, SEMMENS BRICE","journalName":"Ecological Entomology","publicationDate":"10/21/2016","publiclyAccessibleDate":"10/21/2016"},"contributors":{"authors":[{"text":"Oberhauser, Karen","contributorId":21059,"corporation":false,"usgs":true,"family":"Oberhauser","given":"Karen","affiliations":[],"preferred":false,"id":649351,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wiederholt, Ruscena","contributorId":149125,"corporation":false,"usgs":false,"family":"Wiederholt","given":"Ruscena","affiliations":[{"id":17653,"text":"School of Natural Resources & the Environment, The University of Arizona, Tucson","active":true,"usgs":false}],"preferred":false,"id":649352,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Diffendorfer, James E. 0000-0003-1093-6948 jediffendorfer@usgs.gov","orcid":"https://orcid.org/0000-0003-1093-6948","contributorId":3208,"corporation":false,"usgs":true,"family":"Diffendorfer","given":"James E.","email":"jediffendorfer@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":649350,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Semmens, Darius J. 0000-0001-7924-6529 dsemmens@usgs.gov","orcid":"https://orcid.org/0000-0001-7924-6529","contributorId":1714,"corporation":false,"usgs":true,"family":"Semmens","given":"Darius","email":"dsemmens@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":649353,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ries, Leslie","contributorId":50034,"corporation":false,"usgs":true,"family":"Ries","given":"Leslie","affiliations":[],"preferred":false,"id":649354,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Thogmartin, Wayne E. 0000-0002-2384-4279 wthogmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-2384-4279","contributorId":2545,"corporation":false,"usgs":true,"family":"Thogmartin","given":"Wayne","email":"wthogmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":649355,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lopez-Hoffman, Laura","contributorId":149127,"corporation":false,"usgs":false,"family":"Lopez-Hoffman","given":"Laura","affiliations":[{"id":17654,"text":"School of Natural Resources & the Environment and Udall Center for Studies in Public Policy, The University of Arizona, Tucson","active":true,"usgs":false}],"preferred":false,"id":649356,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Semmens, Brice","contributorId":19870,"corporation":false,"usgs":true,"family":"Semmens","given":"Brice","affiliations":[],"preferred":false,"id":649357,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70179779,"text":"70179779 - 2017 - Pelagic nekton abundance and distribution in the northern Sacramento–San Joaquin Delta, California","interactions":[],"lastModifiedDate":"2017-01-18T10:39:07","indexId":"70179779","displayToPublicDate":"2016-12-09T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Pelagic nekton abundance and distribution in the northern Sacramento–San Joaquin Delta, California","docAbstract":"<p>Knowledge of the habitats occupied by species is fundamental for the development of effective conservation and management actions. The collapse of pelagic fish species in the Sacramento–San Joaquin Delta, California, has triggered a need to better understand factors that drive their distribution and abundance. A study was conducted in summer–fall 2014 in an attempt to identify physical and biological habitat conditions that drive the abundance and distribution of pelagic species in the northern region of the system. The study was conducted in the three largest channels in the northern Sacramento–San Joaquin Delta by dimension, volume, and flow capacity. The pelagic community was dominated by three nonnative species, Siberian prawn <i>Exopalaemon modestus</i>, which comprised 56% of the total number of organisms, and two fish species, Threadfin Shad <i>Dorosoma petenense</i> and Mississippi Silversides <i>Menidia audens</i>, which together comprised 43% of the total number of organisms. Total fish and total shrimp abundance were sensitive to the most extreme values of turbidity and temperature encountered and positively associated with total zooplankton biomass. The results suggested that habitat conditions in terminal channels, historically a common feature on the landscape, support higher abundances of pelagic species and zooplankton than open-ended channels. These results provide resource managers with useful information on the habitat associations of pelagic species and on how the future distribution and abundance of pelagic species will likely change in response to climate or other ecological factors.</p>","language":"English","publisher":"American Fisheries Society","doi":"10.1080/00028487.2016.1243577","usgsCitation":"Feyrer, F.V., Slater, S.B., Portz, D.E., Odom, D., Morgan-King, T.L., and Brown, L.R., 2017, Pelagic nekton abundance and distribution in the northern Sacramento–San Joaquin Delta, California: Transactions of the American Fisheries Society, v. 146, no. 1, p. 128-135, https://doi.org/10.1080/00028487.2016.1243577.","productDescription":"8 p.","startPage":"128","endPage":"135","ipdsId":"IP-078562","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":470196,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/00028487.2016.1243577","text":"Publisher Index Page"},{"id":333325,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sacramento-San Joaquin Delta","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122,\n              38\n            ],\n            [\n              -122,\n              38.6\n            ],\n            [\n              -121.5,\n              38.6\n            ],\n            [\n              -121.5,\n              38\n            ],\n            [\n              -122,\n              38\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"146","issue":"1","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-09","publicationStatus":"PW","scienceBaseUri":"58808d3de4b01dfadfff152d","chorus":{"doi":"10.1080/00028487.2016.1243577","url":"http://dx.doi.org/10.1080/00028487.2016.1243577","publisher":"Informa UK Limited","authors":"Feyrer Frederick, Slater Steven B., Portz Donald E., Odom Darren, Morgan-King Tara, Brown Larry R.","journalName":"Transactions of the American Fisheries Society","publicationDate":"12/9/2016"},"contributors":{"authors":[{"text":"Feyrer, Frederick V. 0000-0003-1253-2349 ffeyrer@usgs.gov","orcid":"https://orcid.org/0000-0003-1253-2349","contributorId":178379,"corporation":false,"usgs":true,"family":"Feyrer","given":"Frederick","email":"ffeyrer@usgs.gov","middleInitial":"V.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":658661,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Slater, Steven B.","contributorId":178380,"corporation":false,"usgs":false,"family":"Slater","given":"Steven","email":"","middleInitial":"B.","affiliations":[{"id":6952,"text":"California Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":658662,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Portz, Donald E.","contributorId":178381,"corporation":false,"usgs":false,"family":"Portz","given":"Donald","email":"","middleInitial":"E.","affiliations":[{"id":27970,"text":"Bureau of Reclamation, Denver, CO","active":true,"usgs":false}],"preferred":false,"id":658663,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Odom, Darren","contributorId":178382,"corporation":false,"usgs":false,"family":"Odom","given":"Darren","email":"","affiliations":[{"id":28043,"text":"Sureworks","active":true,"usgs":false}],"preferred":false,"id":658664,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Morgan-King, Tara L. 0000-0001-5632-5232 tamorgan@usgs.gov","orcid":"https://orcid.org/0000-0001-5632-5232","contributorId":554,"corporation":false,"usgs":true,"family":"Morgan-King","given":"Tara","email":"tamorgan@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":658665,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brown, Larry R. 0000-0001-6702-4531 lrbrown@usgs.gov","orcid":"https://orcid.org/0000-0001-6702-4531","contributorId":1717,"corporation":false,"usgs":true,"family":"Brown","given":"Larry","email":"lrbrown@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":658666,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
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