{"pageNumber":"756","pageRowStart":"18875","pageSize":"25","recordCount":184617,"records":[{"id":70204940,"text":"70204940 - 2019 - Mammut pacificus sp. nov., a newly recognized species of mastodon from the Pleistocene of western North America","interactions":[],"lastModifiedDate":"2019-08-26T10:37:27","indexId":"70204940","displayToPublicDate":"2019-03-27T10:26:24","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3840,"text":"PeerJ","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Mammut pacificus sp. nov., a newly recognized species of mastodon from the Pleistocene of western North America","title":"Mammut pacificus sp. nov., a newly recognized species of mastodon from the Pleistocene of western North America","docAbstract":"

A new species of mastodon from the Pleistocene of western North America, Mammut pacificus sp. nov. is herein recognized, with specimens identified throughout California and from two localities in southern Idaho. This new taxon differs from the contemporaneous M. americanum in having narrower teeth, most prominently in M3/m3, as well as six sacral vertebrae, femur with a proportionally greater mid-shaft diameter, and no mandibular tusks at any growth stage. All known Pleistocene Mammut remains from California are consistent with our diagnosis of M. pacificus, which indicates that M. americanum was not present in California.

","language":"English","publisher":"PeerJ","doi":"10.7717/peerj.6614","usgsCitation":"Dooley, A.C., Scott, E., Green, J., Springer, K.B., Dooley, B., and Smith, G., 2019, Mammut pacificus sp. nov., a newly recognized species of mastodon from the Pleistocene of western North America: PeerJ, v. 7, e6614, 58 p., https://doi.org/10.7717/peerj.6614.","productDescription":"e6614, 58 p.","ipdsId":"IP-102635","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":467775,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.7717/peerj.6614","text":"Publisher Index Page"},{"id":366900,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, Mexico, United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -129.7265625,\n 17.811456088564483\n ],\n [\n -64.86328125,\n 17.811456088564483\n ],\n [\n -64.86328125,\n 51.83577752045248\n ],\n [\n -129.7265625,\n 51.83577752045248\n ],\n [\n -129.7265625,\n 17.811456088564483\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"7","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-03-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Dooley, Alton C","contributorId":218421,"corporation":false,"usgs":false,"family":"Dooley","given":"Alton","email":"","middleInitial":"C","affiliations":[],"preferred":false,"id":769172,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scott, Eric","contributorId":127422,"corporation":false,"usgs":false,"family":"Scott","given":"Eric","email":"","affiliations":[],"preferred":false,"id":769173,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Green, Jeremy","contributorId":218400,"corporation":false,"usgs":false,"family":"Green","given":"Jeremy","email":"","affiliations":[],"preferred":false,"id":769174,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Springer, Kathleen B. 0000-0002-2404-0264 kspringer@usgs.gov","orcid":"https://orcid.org/0000-0002-2404-0264","contributorId":149826,"corporation":false,"usgs":true,"family":"Springer","given":"Kathleen","email":"kspringer@usgs.gov","middleInitial":"B.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":769171,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dooley, Brett","contributorId":218401,"corporation":false,"usgs":false,"family":"Dooley","given":"Brett","email":"","affiliations":[],"preferred":false,"id":769175,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Smith, Gregory J.","contributorId":218402,"corporation":false,"usgs":false,"family":"Smith","given":"Gregory J.","affiliations":[],"preferred":false,"id":769176,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70203344,"text":"70203344 - 2019 - Mid-latitude net precipitation decreased with Arctic warming during the Holocene","interactions":[],"lastModifiedDate":"2019-05-07T09:30:30","indexId":"70203344","displayToPublicDate":"2019-03-27T09:29:31","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2840,"text":"Nature","active":true,"publicationSubtype":{"id":10}},"title":"Mid-latitude net precipitation decreased with Arctic warming during the Holocene","docAbstract":"

The latitudinal temperature gradient between the Equator and the poles influences atmospheric stability, the strength of the jet stream and extratropical cyclones. Recent global warming is weakening the annual surface gradient in the Northern Hemisphere by preferentially warming the high latitudes; however, the implications of these changes for mid-latitude climate remain uncertain. Here we show that a weaker latitudinal temperature gradient—that is, warming of the Arctic with respect to the Equator—during the early to middle part of the Holocene coincided with substantial decreases in mid-latitude net precipitation (precipitation minus evapotranspiration, at 30° N to 50° N). We quantify the evolution of the gradient and of mid-latitude moisture both in a new compilation of Holocene palaeoclimate records spanning from 10° S to 90° N and in an ensemble of mid-Holocene climate model simulations. The observed pattern is consistent with the hypothesis that a weaker temperature gradient led to weaker mid-latitude westerly flow, weaker cyclones and decreased net terrestrial mid-latitude precipitation. Currently, the northern high latitudes are warming at rates nearly double the global average, decreasing the Equator-to-pole temperature gradient to values comparable with those in the early to middle Holocene. If the patterns observed during the Holocene hold for current anthropogenically forced warming, the weaker latitudinal temperature gradient will lead to considerable reductions in mid-latitude water resources.

","language":"English","publisher":"Nature","doi":"10.1038/s41586-019-1060-3","usgsCitation":"Cody Routson, McKay, N., Kaufman, D., Goosse, H., Bryan Shuman, Rodysill, J., and Ault, T., 2019, Mid-latitude net precipitation decreased with Arctic warming during the Holocene: Nature, v. 568, p. 83-87, https://doi.org/10.1038/s41586-019-1060-3.","productDescription":"5 p.","startPage":"83","endPage":"87","ipdsId":"IP-088349","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":490056,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/2078.1/224511","text":"External Repository"},{"id":363549,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":363534,"type":{"id":15,"text":"Index Page"},"url":"https://www.nature.com/articles/s41586-019-1060-3"}],"volume":"568","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2019-03-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Cody Routson","contributorId":215395,"corporation":false,"usgs":false,"family":"Cody Routson","affiliations":[{"id":39235,"text":"School of Earth Sciences & Environmental Sustainability, Northern Arizona University, Flagstaff, AZ 86011, USA","active":true,"usgs":false}],"preferred":false,"id":762236,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McKay, Nicholas","contributorId":215396,"corporation":false,"usgs":false,"family":"McKay","given":"Nicholas","email":"","affiliations":[{"id":39235,"text":"School of Earth Sciences & Environmental Sustainability, Northern Arizona University, Flagstaff, AZ 86011, USA","active":true,"usgs":false}],"preferred":false,"id":762237,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kaufman, Darrell","contributorId":215397,"corporation":false,"usgs":false,"family":"Kaufman","given":"Darrell","affiliations":[{"id":39235,"text":"School of Earth Sciences & Environmental Sustainability, Northern Arizona University, Flagstaff, AZ 86011, USA","active":true,"usgs":false}],"preferred":false,"id":762238,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Goosse, Hugues","contributorId":215398,"corporation":false,"usgs":false,"family":"Goosse","given":"Hugues","email":"","affiliations":[{"id":39236,"text":"Université catholique de Louvain, Earth and Life Institute, Georges Lemaître center for Earth and Climate Research, Place Louis Pasteur, 3, Louvain-la-Neuve, Belgium","active":true,"usgs":false}],"preferred":false,"id":762239,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bryan Shuman","contributorId":215399,"corporation":false,"usgs":false,"family":"Bryan Shuman","affiliations":[{"id":39237,"text":"Roy J. Shlemon Center for Quaternary Studies, Department of Geology and Geophysics, University of Wyoming, Laramie, Wyoming, 82071, USA
","active":true,"usgs":false}],"preferred":false,"id":762240,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rodysill, Jessica 0000-0002-3602-7227","orcid":"https://orcid.org/0000-0002-3602-7227","contributorId":215394,"corporation":false,"usgs":true,"family":"Rodysill","given":"Jessica","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":false,"id":762235,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ault, Toby","contributorId":146170,"corporation":false,"usgs":false,"family":"Ault","given":"Toby","email":"","affiliations":[{"id":6624,"text":"University of Arizona, Laboratory of Tree-Ring Research","active":true,"usgs":false}],"preferred":false,"id":762241,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70201111,"text":"fs20183079 - 2019 - Laboratory for Infectious Disease and the Environment (LIDE)","interactions":[],"lastModifiedDate":"2019-03-27T14:45:01","indexId":"fs20183079","displayToPublicDate":"2019-03-26T16:45:00","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-3079","displayTitle":"Laboratory for Infectious Disease and the Environment (LIDE)","title":"Laboratory for Infectious Disease and the Environment (LIDE)","docAbstract":"

The Laboratory for Infectious Disease and the Environment (LIDE) studies the occurrence, fate and transport, and health effects of human and agricultural zoonotic pathogens in the environment. The LIDE is an interagency collaborative effort between the U.S. Geological Survey and the U.S. Department of Agriculture-Agricultural Research Service that conducts research to inform decision makers and advance scientific knowledge. The LIDE collaborates with public agencies and academic researchers in partnerships and works cooperatively or independently on all aspects of the research process. The LIDE's laboratory capabilities include quantitative polymerase chain reaction and pathogen culture.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20183079","collaboration":"Prepared in cooperation with the U.S. Department of Agriculture - Agricultural Research Service","usgsCitation":"Stokdyk, J.P., Bruce, J.L,, Burch, T.R., Spencer, S.K., Firnstahl, A.D., and Borchardt, M.A., 2019, Laboratory for Infectious Disease and the Environment (LIDE): U.S. Geological Survey Fact Sheet 2018-3079, 4 p., https://doi.org/10.3133/fs20183079.","productDescription":"4 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-089866","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":362321,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2018/3079/fs20183079.pdf","text":"Report","size":"20 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2018-3079"},{"id":362320,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2018/3079/coverthb.jpg"}],"country":"United States","state":"Wisconsin","city":"Marshfield","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -90.24272918701172,\n 44.59780156391225\n ],\n [\n -90.10574340820311,\n 44.59780156391225\n ],\n [\n -90.10574340820311,\n 44.70062975596728\n ],\n [\n -90.24272918701172,\n 44.70062975596728\n ],\n [\n -90.24272918701172,\n 44.59780156391225\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Laboratory for Infectious Disease and the Environment (LIDE)

Or

Upper Midwest Science Center
U.S. Geological Survey
8505 Research Way
Middleton, WI 53562

","tableOfContents":"","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"publishedDate":"2019-03-26","noUsgsAuthors":false,"publicationDate":"2019-03-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Stokdyk, Joel P. 0000-0003-2887-6277 jstokdyk@usgs.gov","orcid":"https://orcid.org/0000-0003-2887-6277","contributorId":193848,"corporation":false,"usgs":true,"family":"Stokdyk","given":"Joel","email":"jstokdyk@usgs.gov","middleInitial":"P.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":752709,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bruce, Jennifer L. 0000-0003-4915-5567 jlbruce@usgs.gov","orcid":"https://orcid.org/0000-0003-4915-5567","contributorId":132,"corporation":false,"usgs":true,"family":"Bruce","given":"Jennifer","email":"jlbruce@usgs.gov","middleInitial":"L.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":752708,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burch, Tucker R.","contributorId":195801,"corporation":false,"usgs":false,"family":"Burch","given":"Tucker R.","affiliations":[],"preferred":false,"id":752710,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Spencer, Susan K.","contributorId":181738,"corporation":false,"usgs":false,"family":"Spencer","given":"Susan","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":752711,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Firnstahl, Aaron D. 0000-0003-2686-7596 afirnstahl@usgs.gov","orcid":"https://orcid.org/0000-0003-2686-7596","contributorId":168296,"corporation":false,"usgs":true,"family":"Firnstahl","given":"Aaron","email":"afirnstahl@usgs.gov","middleInitial":"D.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":752712,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Borchardt, Mark A. 0000-0002-6471-2627","orcid":"https://orcid.org/0000-0002-6471-2627","contributorId":151033,"corporation":false,"usgs":false,"family":"Borchardt","given":"Mark","email":"","middleInitial":"A.","affiliations":[{"id":6684,"text":"USDA Forest Service, Southern Research Station, Aiken, SC","active":true,"usgs":false}],"preferred":false,"id":752713,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70202731,"text":"ofr20191003 - 2019 - Tampa Bay Ocean and Coastal Acidification Monitoring Quality Assurance Project Plan","interactions":[],"lastModifiedDate":"2019-03-27T14:48:59","indexId":"ofr20191003","displayToPublicDate":"2019-03-26T15:30:00","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-1003","displayTitle":"Tampa Bay Ocean and Coastal Acidification Monitoring Quality Assurance Project Plan","title":"Tampa Bay Ocean and Coastal Acidification Monitoring Quality Assurance Project Plan","docAbstract":"Coastal acidification caused by eutrophication, freshwater inflow, and upwelling is already affecting many estuaries worldwide and can be exacerbated by ocean acidification that is caused by increasing carbon dioxide in the atmosphere. Effective management, mitigation, and (or) adaptation to the effects of coastal and ocean acidification require careful monitoring of the resulting changes in seawater chemistry. Local, regional, and national agencies and institutions organizing acidification-monitoring and research efforts work toward standardizing data collection and reporting protocols so that data can be shared and compared across regions and synthesized into national assessments. This document describes a Quality Assurance Project Plan for the collection and reporting of seawater chemical and physical data using standardized methods and published best practices relevant for monitoring coastal and ocean acidification. The plan specifically addresses procedures for a joint partnership, the Tampa Bay Ocean and Coastal Acidification Monitoring project, conducted by the U.S. Geological Survey, the U.S. Environmental Protection Agency, and the Tampa Bay Estuary Program in the Tampa Bay estuary, Florida. The plan describes recommended procedures for project organization, sampling process design and methods, data-quality objectives and criteria, data validation and management procedures, and project deliverables.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191003","collaboration":"Prepared in cooperation with the Tampa Bay Estuary Program","usgsCitation":"Yates, K.K., Moore, C.S., Goldstein, N.H., and Sherwood, E.T., 2019, Tampa Bay Ocean and Coastal Acidification Monitoring Quality Assurance Project Plan: U.S. Geological Survey Open-File Report 2019–1003, 35 p., https://doi.org/10.3133/ofr20191003.\n","productDescription":"x, 35 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-091295","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":437528,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9HS7ZV0","text":"USGS data release","linkHelpText":"Discrete Carbonate System Parameter Measurements in Middle Tampa Bay, Florida and the Eastern Gulf of Mexico, USA"},{"id":437527,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P90NCI8T","text":"USGS data release","linkHelpText":"Time Series of Autonomous Carbonate System Parameter Measurements from Crocker Reef, Florida, USA"},{"id":437526,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9BAFC7L","text":"USGS data release","linkHelpText":"Time Series of Autonomous Carbonate System Parameter Measurements in Middle Tampa Bay, Florida, USA"},{"id":362328,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1003/coverthb.jpg"},{"id":362329,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1003/ofr20191003.pdf","text":"Report","size":"1.42 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019-1003"}],"country":"United States","state":"Florida","otherGeospatial":"Tampa Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -82.9302978515625,\n 27.37664535363958\n ],\n [\n -82.3260498046875,\n 27.37664535363958\n ],\n [\n -82.3260498046875,\n 28.212449285338465\n ],\n [\n -82.9302978515625,\n 28.212449285338465\n ],\n [\n -82.9302978515625,\n 27.37664535363958\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, St. Petersburg Coastal and Marine Science Center
U.S. Geological Survey
600 4th Street South
St. Petersburg, FL 33701

","tableOfContents":"","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2019-03-26","noUsgsAuthors":false,"publicationDate":"2019-03-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Yates, Kimberly K. 0000-0001-8764-0358","orcid":"https://orcid.org/0000-0001-8764-0358","contributorId":214349,"corporation":false,"usgs":true,"family":"Yates","given":"Kimberly","email":"","middleInitial":"K.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":759699,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moore, Christopher S. 0000-0003-3210-4878","orcid":"https://orcid.org/0000-0003-3210-4878","contributorId":214351,"corporation":false,"usgs":true,"family":"Moore","given":"Christopher S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":759702,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goldstein, Nathan H. 0000-0002-5871-2663","orcid":"https://orcid.org/0000-0002-5871-2663","contributorId":214350,"corporation":false,"usgs":false,"family":"Goldstein","given":"Nathan","email":"","middleInitial":"H.","affiliations":[{"id":24700,"text":"Student contractor","active":true,"usgs":false}],"preferred":false,"id":759701,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sherwood, Edward T. 0000-0001-5330-302X","orcid":"https://orcid.org/0000-0001-5330-302X","contributorId":150472,"corporation":false,"usgs":false,"family":"Sherwood","given":"Edward","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":759700,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70203221,"text":"70203221 - 2019 - Does perspective matter? A case study comparing Eulerian and Lagrangian estimates of common murre (Uria aalge) distributions","interactions":[],"lastModifiedDate":"2019-04-29T13:49:02","indexId":"70203221","displayToPublicDate":"2019-03-26T13:48:36","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Does perspective matter? A case study comparing Eulerian and Lagrangian estimates of common murre (Uria aalge) distributions","docAbstract":"Studies estimating species' distributions require information about animal locations in space and time. Location data can be collected using surveys within a predetermined frame of reference (i.e., Eulerian sampling) or from animal‐borne tracking devices (i.e., Lagrangian sampling). Integration of observations obtained from Eulerian and Lagrangian perspectives can provide insights into animal movement and habitat use. However, contemporaneous data from both perspectives are rarely available, making examination of biases associated with each sampling approach difficult. We compared distributions of a mobile seabird observed concurrently from ship, aerial, and satellite tag surveys during May, June, and July 2012 in the northern California Current. We calculated utilization distributions to quantify and compare variability in common murre (Uria aalge) space use and examine how sampling perspective and platform influence observed patterns. Spatial distributions of murres were similar in May, regardless of sampling perspective. Greatest densities occurred in coastal waters off southern Washington and northern Oregon, near large murre colonies and the mouth of the Columbia River. Density distributions of murres estimated from ship and aerial surveys in June and July were similar to those observed in May, whereas distributions of satellite‐tagged murres in June and July indicated northward movement into British Columbia, Canada, resulting in different patterns observed from Eulerian and Lagrangian perspectives. These results suggest that the population of murres observed in the northern California Current during spring and summer includes relatively stationary individuals attending breeding colonies and nonstationary, vagile adults and subadults. Given the expected growth of telemetry studies and advances in survey technology (e.g., unmanned aerial systems), these results highlight the importance of considering methodological approaches, spatial extent, and synopticity of distribution data sets prior to integrating data from different sampling perspectives.","language":"English","publisher":"John Wiley & Sons Ltd.","doi":"10.1002/ece3.5083","usgsCitation":"Phillips, E.M., Horne, J., Zamon, J.E., Felis, J.J., and Adams, J., 2019, Does perspective matter? A case study comparing Eulerian and Lagrangian estimates of common murre (Uria aalge) distributions: Ecology and Evolution, v. 9, no. 8, p. 4805-4819, https://doi.org/10.1002/ece3.5083.","productDescription":"15 p.","startPage":"4805","endPage":"4819","ipdsId":"IP-104177","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":467776,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.5083","text":"Publisher Index Page"},{"id":363316,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -125.31005859374999,\n 45.96642454131025\n ],\n [\n -122.4755859375,\n 45.96642454131025\n ],\n [\n -122.4755859375,\n 48.56024979174329\n ],\n [\n -125.31005859374999,\n 48.56024979174329\n ],\n [\n -125.31005859374999,\n 45.96642454131025\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"9","issue":"8","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2019-03-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Phillips, Elizabeth M.","contributorId":204681,"corporation":false,"usgs":false,"family":"Phillips","given":"Elizabeth","email":"","middleInitial":"M.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":761753,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Horne, John K.","contributorId":204682,"corporation":false,"usgs":false,"family":"Horne","given":"John K.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":761754,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zamon, Jeannette E.","contributorId":168453,"corporation":false,"usgs":false,"family":"Zamon","given":"Jeannette","email":"","middleInitial":"E.","affiliations":[{"id":25294,"text":"NOAA/NMFS/NWFSC","active":true,"usgs":false}],"preferred":false,"id":761755,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Felis, Jonathan J. 0000-0002-0608-8950 jfelis@usgs.gov","orcid":"https://orcid.org/0000-0002-0608-8950","contributorId":4825,"corporation":false,"usgs":true,"family":"Felis","given":"Jonathan","email":"jfelis@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":761756,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Adams, Josh","contributorId":215165,"corporation":false,"usgs":true,"family":"Adams","given":"Josh","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":761752,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70202846,"text":"70202846 - 2019 - Radiometric calibration of a non-imaging airborne spectrometer to measure the Greenland ice sheet surface","interactions":[],"lastModifiedDate":"2019-03-29T11:27:32","indexId":"70202846","displayToPublicDate":"2019-03-26T10:42:54","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":926,"text":"Atmospheric Measurement Techniques","active":true,"publicationSubtype":{"id":10}},"title":"Radiometric calibration of a non-imaging airborne spectrometer to measure the Greenland ice sheet surface","docAbstract":"

Methods to radiometrically calibrate a non-imaging airborne visible-to-shortwave infrared (VSWIR) spectrometer to measure the Greenland ice sheet surface are presented. Airborne VSWIR measurement performance for bright Greenland ice and dark bare rock/soil targets is compared against the MODerate resolution atmospheric TRANsmission (MODTRAN®) radiative transfer code (version 6.0), and a coincident Landsat 8 Operational Land Imager (OLI) acquisition on 29 July 2015 during an in-flight radiometric calibration experiment. Airborne remote sensing flights were carried out in northwestern Greenland in preparation for the Ice, Cloud, and land Elevation Satellite 2 (ICESat-2) laser altimeter mission. A total of nine science flights were conducted over the Greenland ice sheet, sea ice, and open-ocean water. The campaign's primary purpose was to correlate green laser pulse penetration into snow and ice with spectroscopic-derived surface properties. An experimental airborne instrument configuration that included a nadir-viewing (looking downward at the surface) non-imaging Analytical Spectral Devices (ASD) Inc. spectrometer that measured upwelling VSWIR (0.35 to 2.5 µm) spectral radiance (Wm-2sr-1µm-1\">Wm−2sr−1µm−1) in the two-color Slope Imaging Multi-polarization Photon-Counting Lidar's (SIMPL) ground instantaneous field of view, and a zenith-viewing (looking upward at the sky) ASD spectrometer that measured VSWIR spectral irradiance (W m−2 nm−1) was flown. National Institute of Standards and Technology (NIST) traceable radiometric calibration procedures for laboratory, in-flight, and field environments are described in detail to achieve a targeted VSWIR measurement requirement of within 5 % to support calibration/validation efforts and remote sensing algorithm development. Our MODTRAN predictions for the 29 July flight line over dark and bright targets indicate that the airborne nadir-viewing spectrometer spectral radiance measurement uncertainty was between 0.6 % and 4.7 % for VSWIR wavelengths (0.4 to 2.0 µm) with atmospheric transmittance greater than 80 %. MODTRAN predictions for Landsat 8 OLI relative spectral response functions suggest that OLI is measuring 6 % to 16 % more top-of-atmosphere (TOA) spectral radiance from the Greenland ice sheet surface than was predicted using apparent reflectance spectra from the nadir-viewing spectrometer. While more investigation is required to convert airborne VSWIR spectral radiance into atmospherically corrected airborne surface reflectance, it is expected that airborne science flight data products will contribute to spectroscopic determination of Greenland ice sheet surface optical properties to improve understanding of their potential influence on ICESat-2 measurements.

","language":"English","publisher":"Atmospheric Measurement Techniques","doi":"10.5194/amt-12-1913-2019","usgsCitation":"Crawford, C., van den Bosch, J., Brunt, K.M., Hom, M.G., Cooper, J.W., Harding, D.J., Butler, J., Dabney, P.W., Neumann, T.A., Cleckner, C.S., and Markus, T., 2019, Radiometric calibration of a non-imaging airborne spectrometer to measure the Greenland ice sheet surface: Atmospheric Measurement Techniques, v. 12, p. 1913-1933, https://doi.org/10.5194/amt-12-1913-2019.","productDescription":"21 p.","startPage":"1913","endPage":"1933","ipdsId":"IP-105345","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":467777,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/amt-12-1913-2019","text":"Publisher Index Page"},{"id":362531,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Greenland","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -68.5546875,\n 58.63121664342478\n ],\n [\n -9.84375,\n 58.63121664342478\n ],\n [\n -9.84375,\n 83.82994542398042\n ],\n [\n -68.5546875,\n 83.82994542398042\n ],\n [\n -68.5546875,\n 58.63121664342478\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"12","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2019-03-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Crawford, Christopher J. 0000-0002-7145-0709 cjcrawford@usgs.gov","orcid":"https://orcid.org/0000-0002-7145-0709","contributorId":213607,"corporation":false,"usgs":true,"family":"Crawford","given":"Christopher J.","email":"cjcrawford@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":760241,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"van den Bosch, Jeannette","contributorId":214566,"corporation":false,"usgs":false,"family":"van den Bosch","given":"Jeannette","email":"","affiliations":[{"id":39073,"text":"US Air Force Research Lab","active":true,"usgs":false}],"preferred":false,"id":760242,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brunt, Kelly M. 0000-0002-6462-6112","orcid":"https://orcid.org/0000-0002-6462-6112","contributorId":214567,"corporation":false,"usgs":false,"family":"Brunt","given":"Kelly","email":"","middleInitial":"M.","affiliations":[{"id":39074,"text":"University of Maryland / NASA","active":true,"usgs":false}],"preferred":true,"id":760243,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hom, Milton G.","contributorId":214568,"corporation":false,"usgs":false,"family":"Hom","given":"Milton","email":"","middleInitial":"G.","affiliations":[{"id":39075,"text":"Science Systems and Applications / NASA","active":true,"usgs":false}],"preferred":false,"id":760244,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cooper, John W.","contributorId":214569,"corporation":false,"usgs":false,"family":"Cooper","given":"John","email":"","middleInitial":"W.","affiliations":[{"id":39076,"text":"Science Systems and Applications / NASA","active":true,"usgs":false}],"preferred":false,"id":760245,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Harding, David J.","contributorId":214570,"corporation":false,"usgs":false,"family":"Harding","given":"David","email":"","middleInitial":"J.","affiliations":[{"id":38788,"text":"NASA","active":true,"usgs":false}],"preferred":false,"id":760246,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Butler, James J.","contributorId":214571,"corporation":false,"usgs":false,"family":"Butler","given":"James J.","affiliations":[{"id":38788,"text":"NASA","active":true,"usgs":false}],"preferred":false,"id":760247,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dabney, Philip W.","contributorId":214572,"corporation":false,"usgs":false,"family":"Dabney","given":"Philip","email":"","middleInitial":"W.","affiliations":[{"id":38788,"text":"NASA","active":true,"usgs":false}],"preferred":false,"id":760248,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Neumann, Thomas A.","contributorId":214573,"corporation":false,"usgs":false,"family":"Neumann","given":"Thomas","email":"","middleInitial":"A.","affiliations":[{"id":38788,"text":"NASA","active":true,"usgs":false}],"preferred":false,"id":760249,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Cleckner, Craig S.","contributorId":214574,"corporation":false,"usgs":false,"family":"Cleckner","given":"Craig","email":"","middleInitial":"S.","affiliations":[{"id":38788,"text":"NASA","active":true,"usgs":false}],"preferred":false,"id":760250,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Markus, Thorsten","contributorId":214575,"corporation":false,"usgs":false,"family":"Markus","given":"Thorsten","email":"","affiliations":[{"id":38788,"text":"NASA","active":true,"usgs":false}],"preferred":false,"id":760251,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70203181,"text":"70203181 - 2019 - Wildlife mortality at wind facilities: How we know what we know how we might mislead ourselves, and how we set our future course","interactions":[],"lastModifiedDate":"2023-03-27T22:44:45.273847","indexId":"70203181","displayToPublicDate":"2019-03-26T10:18:37","publicationYear":"2019","noYear":false,"publicationType":{"id":5,"text":"Book 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To accurately estimate per turbine – or per megawatt – annual wildlife mortality at wind facilities, the raw counts of carcasses found must be adjusted for four major sources of imperfect detection: (1) fatalities that occur outside the monitoring period; (2) carcasses that land outside the monitored area; (3) carcasses that are removed by scavengers or deteriorate beyond recognition prior to detection; and (4) carcasses that remain undiscovered by searchers even when present. To accurately estimate regional or national annual wildlife mortality, data must come from a representative (or appropriately weighted) sample of facilities for which estimates of mortality account for all sources of imperfect detection. I argue that the currently available data in the United States and much of the world do not represent the impacts of wind power on wildlife because not all facilities conduct monitoring studies, not all study results are publicly available, and few studies adequately account for imperfect detection. I present examples illustrating the limitations of our current data and pitfalls of interpreting data without accurately adjusting for detection bias. I close by proposing a solution through a simplified monitoring process that can be applied at every facility as part of normal operations. Application of an unbiased estimator that accounts for all sources of imperfect detection would assure comparability of mortality estimates. Public access to reported estimates would achieve representation. With these data we could develop a clearer understanding of how wind power is affecting wildlife throughout the world and inform our efforts to address it.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Wind energy and wildlife impacts","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-030-05520-2_2","usgsCitation":"Huso, M.M., 2019, Wildlife mortality at wind facilities: How we know what we know how we might mislead ourselves, and how we set our future course, chap. of Wind energy and wildlife impacts, p. 27-41, https://doi.org/10.1007/978-3-030-05520-2_2.","productDescription":"15 p.","startPage":"27","endPage":"41","ipdsId":"IP-100725","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":363427,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2019-03-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Huso, Manuela M. 0000-0003-4687-6625 mhuso@usgs.gov","orcid":"https://orcid.org/0000-0003-4687-6625","contributorId":150012,"corporation":false,"usgs":true,"family":"Huso","given":"Manuela","email":"mhuso@usgs.gov","middleInitial":"M.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":761532,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70203999,"text":"70203999 - 2019 - Agricultural chemical concentrations and loads in rivers draining the Central Valley, California: Before, during, and after an extended drought","interactions":[],"lastModifiedDate":"2019-06-28T10:21:37","indexId":"70203999","displayToPublicDate":"2019-03-26T09:38:01","publicationYear":"2019","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"17","title":"Agricultural chemical concentrations and loads in rivers draining the Central Valley, California: Before, during, and after an extended drought","docAbstract":"Drought or near drought conditions persisted in California from 2012 through 2016, followed by a high precipitation year in 2017. Long-term water quality monitoring of two key river stations, the Sacramento River at Freeport and the San Joaquin River near Vernalis, located within the largely agricultural Central Valley, allow for an examination of pesticide concentrations and mass loading. Daily models were constructed using an estimation procedure that links mean daily streamflow with pesticide concentration monitoring and time. There were 13 different pesticides and three degradation products modeled, including herbicides, fungicides, and insecticides. Not all pesticides were detected at each river site. There were eight pesticides modeled for the Sacramento River and fourteen for the San Joaquin River. Collectively, there were 16 models for these two sites that showed decreasing trends, 5 with increasing, and 1 with no trend. Mass loads of the modeled compounds increased in 2017 because of the high river discharge. Most pesticides had measured or modeled concentrations that were below acute and chronic toxicity benchmarks. One exception was the neonicotinoid insecticide imidacloprid, which had an increasing trend in concentration with levels that exceeded chronic toxicity thresholds for invertebrates, especially after 2015. The use of some pesticides decreased during this period of time which partly explains the decreasing concentration trends. However, some pesticides had increased useage but with decreasing river concentration. The preponderance of negative trends in concentration of most pesticides suggested that lack of rainfall during the drought resulted in less transport from treated fields to the streams.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Pesticides in surface water: Monitoring, modeling, risk assessment, and management","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"American Chemical Society","doi":"10.1021/bk-2019-1308.ch017","isbn":"9780841234109","usgsCitation":"Domagalski, J.L., 2019, Agricultural chemical concentrations and loads in rivers draining the Central Valley, California: Before, during, and after an extended drought, chap. 17 of Pesticides in surface water: Monitoring, modeling, risk assessment, and management, v. 1308, p. 333-364, https://doi.org/10.1021/bk-2019-1308.ch017.","productDescription":"32 p.","startPage":"333","endPage":"364","ipdsId":"IP-099113","costCenters":[{"id":154,"text":"California Water Science 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Alaska","interactions":[],"lastModifiedDate":"2021-08-23T14:04:19.351883","indexId":"70223316","displayToPublicDate":"2019-03-26T08:59:48","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2774,"text":"Molecular Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Parallel signatures of selection at genomic islands of divergence and the major histocompatibility complex in ecotypes of sockeye salmon across Alaska","docAbstract":"

Understanding the genetic mechanisms that facilitate adaptive radiation is an important component of evolutionary biology. Here, we genotyped 82 neutral SNPs, seven SNPs in islands of divergence identified in a previous study (island SNPs), and a region of the major histocompatibility complex (MHC) in 32 populations of sockeye salmon to investigate whether conserved genes and genomic regions are involved in adaptive radiation. Populations representing three ecotypes were sampled from seven drainages with differing habitats and colonization histories spanning a range of 2,000 km. We found strong signatures of parallel selection across drainages at the island SNPs and MHC, suggesting that the same loci undergo divergent selection during adaptive radiation. However, patterns of differentiation at most island SNPs and the MHC were not associated with ecotypes, suggesting that these loci are responding differently to a mosaic of selective pressures. Our study provides some of the first evidence that conserved genomic islands may be involved in adaptive divergence of salmon populations. Additionally, our data provide further support for the hypothesis that sockeye salmon inhabiting rivers unconnected to lakes harbour similar genetic diversity across large distances, are likely the ancestral form of the species, and have repeatedly recolonized lake systems as they have become available after glacial recession. Finally, our results highlight the value and importance of validating outlier loci by screening additional populations and regions, a practice that will hopefully become more common in the future.

","language":"English","publisher":"Wiley","doi":"10.1111/mec.15082","usgsCitation":"Larson, W., Dann, T.H., Limborg, M., McKinney, G.J., Seeb, J., and Seeb, L., 2019, Parallel signatures of selection at genomic islands of divergence and the major histocompatibility complex in ecotypes of sockeye salmon across Alaska: Molecular Ecology, v. 28, no. 9, p. 2254-2271, https://doi.org/10.1111/mec.15082.","productDescription":"15 p.","startPage":"2254","endPage":"2271","ipdsId":"IP-101772","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":388345,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Tracking and communicating the spread of these species has been of interest to ecologists and environmental managers for many years, particularly in the bi-national Laurentian Great Lakes of North America. In this paper, we introduce the Great Lakes Aquatic Nonindigenous Species\nInformation System (GLANSIS) Map Explorer. The Map Explorer provides access to records of documented nonindigenous species and their spatial distributions. Users may view the distributions of well-known nonindigenous species (such as zebra mussels) as well as perform custom queries. Additional map layers allow users to compare the distribution of nonindigenous species to environmental conditions. This tool serves to communicate knowledge to diverse stakeholder groups and to enable further in-depth research on nonindigenous species.","language":"English","publisher":"REABIC","doi":"10.3391/mbi.2019.10.1.12","usgsCitation":"Smith, J.P., Lower, E.K., Martinez, F.A., Riseng, C.M., Mason, L.A., Rutherford, E.S., Neilson, M.E., Fuller, P., Wehrly, K.E., and Sturtevant, R.A., 2019, Interactive mapping of nonindigenous species in the Laurentian Great Lakes: Management of Biological Invasions, v. 10, no. 1, p. 192-199, https://doi.org/10.3391/mbi.2019.10.1.12.","productDescription":"8 p.","startPage":"192","endPage":"199","ipdsId":"IP-098288","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":460431,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3391/mbi.2019.10.1.12","text":"Publisher Index 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Laboratory","active":true,"usgs":false}],"preferred":false,"id":760122,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Neilson, Matthew E. 0000-0002-5139-5677 mneilson@usgs.gov","orcid":"https://orcid.org/0000-0002-5139-5677","contributorId":167677,"corporation":false,"usgs":true,"family":"Neilson","given":"Matthew","email":"mneilson@usgs.gov","middleInitial":"E.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":760116,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fuller, Pam 0000-0002-9389-9144 pfuller@usgs.gov","orcid":"https://orcid.org/0000-0002-9389-9144","contributorId":167676,"corporation":false,"usgs":true,"family":"Fuller","given":"Pam","email":"pfuller@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":760123,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wehrly, Kevin E.","contributorId":214526,"corporation":false,"usgs":false,"family":"Wehrly","given":"Kevin","email":"","middleInitial":"E.","affiliations":[{"id":36986,"text":"Michigan Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":760124,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Sturtevant, Rochelle A.","contributorId":214527,"corporation":false,"usgs":false,"family":"Sturtevant","given":"Rochelle","email":"","middleInitial":"A.","affiliations":[{"id":39063,"text":"Michigan Sea Grant Extenstion, National Oceanic and Atmospheric Administration, Great Lakes Environmental Research Laboratory","active":true,"usgs":false}],"preferred":false,"id":760125,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70217865,"text":"70217865 - 2019 - Plant richness and composition in hardwood forest understories vary along an acidic deposition and soil-chemical gradient in the northeastern United States","interactions":[],"lastModifiedDate":"2021-02-08T13:44:49.586893","indexId":"70217865","displayToPublicDate":"2019-03-26T07:40:52","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3089,"text":"Plant and Soil","active":true,"publicationSubtype":{"id":10}},"title":"Plant richness and composition in hardwood forest understories vary along an acidic deposition and soil-chemical gradient in the northeastern United States","docAbstract":"

Aims

A century of atmospheric deposition of sulfur and nitrogen has acidified soils and undermined the health and recruitment of foundational tree species in the northeastern US. However, effects of acidic deposition on the forest understory plant communities of this region are poorly documented. We investigated how forest understory plant species composition and richness varied across gradients of acidic deposition and soil acidity in the Adirondack Mountains of New York State.

Methods

We surveyed understory vegetation and soils in hardwood forests on 20 small watersheds and built models of community composition and richness as functions of soil chemistry, nitrogen and sulfur deposition, and other environmental variables.

Results

Community composition varied significantly with gradients of acidic deposition, soil acidity, and base cation availability (63% variance explained). Several species increased with soil acidity while others decreased. Understory plant richness decreased significantly with increasing soil acidity (r = 0.60). The best multivariate regression model to predict richness (p < 0.001, adjusted-R2 = 0.60) reflected positive effects of pH and carbon-to-nitrogen ratio (C:N).

Conclusions

The relationship we found between understory plant communities and a soil-chemical gradient, suggests that soil acidification can reduce diversity and alter the composition of these communities in northern hardwood forests exposed to acidic deposition.

","language":"English","publisher":"Springer","doi":"10.1007/s11104-019-04031-y","usgsCitation":"Zarfos, M.R., Dovciak, M., Lawrence, G.B., McDonnell, T.C., and Sullivan, T.J., 2019, Plant richness and composition in hardwood forest understories vary along an acidic deposition and soil-chemical gradient in the northeastern United States: Plant and Soil, v. 438, p. 461-477, https://doi.org/10.1007/s11104-019-04031-y.","productDescription":"17 p.","startPage":"461","endPage":"477","ipdsId":"IP-088565","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":467778,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s11104-019-04031-y","text":"Publisher Index Page"},{"id":383090,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"northeast New York","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.3447265625,\n 44.99588261816546\n ],\n [\n -75.1025390625,\n 44.902577996288876\n ],\n [\n -76.3330078125,\n 44.15068115978094\n ],\n [\n -74.92675781249999,\n 43.739352079154706\n ],\n [\n -74.0478515625,\n 43.42100882994726\n ],\n [\n -73.564453125,\n 43.42100882994726\n ],\n [\n -73.3447265625,\n 44.99588261816546\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"438","noUsgsAuthors":false,"publicationDate":"2019-03-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Zarfos, Michael R. 0000-0002-2902-4773","orcid":"https://orcid.org/0000-0002-2902-4773","contributorId":196724,"corporation":false,"usgs":false,"family":"Zarfos","given":"Michael","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":809971,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dovciak, Martin","contributorId":196723,"corporation":false,"usgs":false,"family":"Dovciak","given":"Martin","email":"","affiliations":[],"preferred":false,"id":809972,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lawrence, Gregory B. 0000-0002-8035-2350 glawrenc@usgs.gov","orcid":"https://orcid.org/0000-0002-8035-2350","contributorId":867,"corporation":false,"usgs":true,"family":"Lawrence","given":"Gregory","email":"glawrenc@usgs.gov","middleInitial":"B.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":809973,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McDonnell, Todd C.","contributorId":127622,"corporation":false,"usgs":false,"family":"McDonnell","given":"Todd","email":"","middleInitial":"C.","affiliations":[{"id":7087,"text":"Scientist, E&S Environmental Chemistry Inc, Corvallis OR","active":true,"usgs":false}],"preferred":false,"id":809974,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sullivan, Timothy J.","contributorId":196720,"corporation":false,"usgs":false,"family":"Sullivan","given":"Timothy","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":809975,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70203951,"text":"70203951 - 2019 - A strong colonizer rules the trematode guild in an intertidal snail host","interactions":[],"lastModifiedDate":"2019-06-24T17:12:37","indexId":"70203951","displayToPublicDate":"2019-03-25T17:06:25","publicationYear":"2019","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 strong colonizer rules the trematode guild in an intertidal snail host","docAbstract":"

We examined the extent to which supply‐side, niche, and competition theories and concepts help explain a trematode community in which one species comprises 87% of the trematode individuals, and the remaining 15 species each have <3%. We collected and dissected the common and wide‐ranging snail host Heleobia australis over four seasons from three distinct habitats from the intertidal area of the Bahía Blanca estuary, Argentina. Inside a snail, trematodes interact with each other with outcomes that depend on facilitation, competition, and preemption, suggesting that dominant species should be common. The abundant trematode species, Microphallus simillimus, is a weak competitor,but has life‐history traits and strategies associated with higher colonization ability that could increase its probability of invading the host first, allowing it to preempt the rare species. Rather than segregate by habitat, trematode species aggregated in pans during the summer where dominant trematode species often excluded subordinate ones. Despite losses to competition, and a lack of niche partitioning, M. simillimus ruled this species‐rich trematode guild through strong recruitment and (potentially) preemption. Therefore, extremely skewed species abundance distributions, like this one, can derive from extremely skewed colonization abilities.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecy.2696","usgsCitation":"Alda, P., Bonel, N., Cazzaniga, N.J., Martorelli, S.R., and Lafferty, K.D., 2019, A strong colonizer rules the trematode guild in an intertidal snail host: Ecology, v. 100, no. 6, e02696; 13 p., https://doi.org/10.1002/ecy.2696.","productDescription":"e02696; 13 p.","ipdsId":"IP-077841","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":488817,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hal.science/hal-04891376","text":"External Repository"},{"id":364979,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Argentina","otherGeospatial":"Bahia Blanca Estuary","volume":"100","issue":"6","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2019-04-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Alda, Pilar","contributorId":216511,"corporation":false,"usgs":false,"family":"Alda","given":"Pilar","email":"","affiliations":[{"id":39463,"text":"Centro de Estudios Parasitológicos y de Vectores, Argentina","active":true,"usgs":false}],"preferred":false,"id":764926,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bonel, Nicolas","contributorId":216512,"corporation":false,"usgs":false,"family":"Bonel","given":"Nicolas","email":"","affiliations":[{"id":39464,"text":"Universidad Nacional del Sur","active":true,"usgs":false}],"preferred":false,"id":764927,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cazzaniga, Nestor J.","contributorId":216513,"corporation":false,"usgs":false,"family":"Cazzaniga","given":"Nestor","email":"","middleInitial":"J.","affiliations":[{"id":39464,"text":"Universidad Nacional del Sur","active":true,"usgs":false}],"preferred":false,"id":764928,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Martorelli, Sergio R.","contributorId":216514,"corporation":false,"usgs":false,"family":"Martorelli","given":"Sergio","email":"","middleInitial":"R.","affiliations":[{"id":39465,"text":"Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET)","active":true,"usgs":false}],"preferred":false,"id":764929,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lafferty, Kevin D. 0000-0001-7583-4593 klafferty@usgs.gov","orcid":"https://orcid.org/0000-0001-7583-4593","contributorId":1415,"corporation":false,"usgs":true,"family":"Lafferty","given":"Kevin","email":"klafferty@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":764925,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70228028,"text":"70228028 - 2019 - Survival outcome patterns revealed by deploying advanced tags in quantity: Pacific halibut (Hippoglossus stenolepis) survivals after release from trawl catches through expedited sorting","interactions":[],"lastModifiedDate":"2022-02-03T16:45:43.861763","indexId":"70228028","displayToPublicDate":"2019-03-25T10:38:08","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Survival outcome patterns revealed by deploying advanced tags in quantity: Pacific halibut (Hippoglossus stenolepis) survivals after release from trawl catches through expedited sorting","title":"Survival outcome patterns revealed by deploying advanced tags in quantity: Pacific halibut (Hippoglossus stenolepis) survivals after release from trawl catches through expedited sorting","docAbstract":"

Bycatch of Pacific halibut (Hippoglossus stenolepis) limits many trawl fisheries in Alaska and greatly concerns stakeholders from local communities and fisheries that rely on Pacific halibut. To reduce Pacific halibut mortality, trawlers in the Bering Sea that target flatfish have been developing expedited release procedures to sort Pacific halibut from catches earlier than current regulations allow, while continuing accurate bycatch accounting. We studied survival rates of released Pacific halibut from three trawlers by deploying accelerometer-equipped pop-up satellite archival tags (PSATs) on 160 fish handled under expedited procedures. PSATs recorded and transmitted two metrics indicating swimming activity every 2 h while attached to the fish (for up to 60 days). Analysis of the resulting survival outcomes largely validated current survival-estimation methods, based on structured viability assessments, and found that longer fish length, shorter duration of air exposure, and shorter duration of trawl tow improved predicted Pacific halibut survival. Differences in these results were detected among vessel trips and species targeted by trawling. PSATs provided detailed data from nearly all tagged fish, while exposing fish to conditions experienced by normal releases.

","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2018-0350","usgsCitation":"Rose, C.S., Nielsen, J.K., Gauvin, J., Loher, T., Sethi, S., Seitz, A., Courtney, M.B., and Drobny, P., 2019, Survival outcome patterns revealed by deploying advanced tags in quantity: Pacific halibut (Hippoglossus stenolepis) survivals after release from trawl catches through expedited sorting: Canadian Journal of Fisheries and Aquatic Sciences, v. 76, no. 12, p. 2215-2224, https://doi.org/10.1139/cjfas-2018-0350.","productDescription":"10 p.","startPage":"2215","endPage":"2224","ipdsId":"IP-096693","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":501092,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/1807/96367","text":"External Repository"},{"id":395363,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"76","issue":"12","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Rose, Craig S.","contributorId":274347,"corporation":false,"usgs":false,"family":"Rose","given":"Craig","email":"","middleInitial":"S.","affiliations":[{"id":56600,"text":"FishNext Research","active":true,"usgs":false}],"preferred":false,"id":832922,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nielsen, Julie K.","contributorId":274348,"corporation":false,"usgs":false,"family":"Nielsen","given":"Julie","email":"","middleInitial":"K.","affiliations":[{"id":56603,"text":"Kingfisher Marine Research","active":true,"usgs":false}],"preferred":false,"id":832923,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gauvin, John","contributorId":274349,"corporation":false,"usgs":false,"family":"Gauvin","given":"John","email":"","affiliations":[{"id":56604,"text":"Alaska Seafood Cooperative","active":true,"usgs":false}],"preferred":false,"id":832924,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Loher, Tim","contributorId":274350,"corporation":false,"usgs":false,"family":"Loher","given":"Tim","affiliations":[{"id":56605,"text":"International Pacific Halibut Commission","active":true,"usgs":false}],"preferred":false,"id":832925,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sethi, Suresh 0000-0002-0053-1827 ssethi@usgs.gov","orcid":"https://orcid.org/0000-0002-0053-1827","contributorId":191424,"corporation":false,"usgs":true,"family":"Sethi","given":"Suresh","email":"ssethi@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":832921,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Seitz, Andrew C.","contributorId":274351,"corporation":false,"usgs":false,"family":"Seitz","given":"Andrew C.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":832926,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Courtney, Michael B.","contributorId":274352,"corporation":false,"usgs":false,"family":"Courtney","given":"Michael","email":"","middleInitial":"B.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":832927,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Drobny, Paige","contributorId":274353,"corporation":false,"usgs":false,"family":"Drobny","given":"Paige","email":"","affiliations":[{"id":56606,"text":"Spearfish Research","active":true,"usgs":false}],"preferred":false,"id":832928,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70215324,"text":"70215324 - 2019 - Status and trends of prey fish populations in Lake Michigan, 2018","interactions":[],"lastModifiedDate":"2021-04-16T15:11:31.57633","indexId":"70215324","displayToPublicDate":"2019-03-25T10:09:21","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesTitle":{"id":7577,"text":"Annual Report","active":true,"publicationSubtype":{"id":4}},"title":"Status and trends of prey fish populations in Lake Michigan, 2018","docAbstract":"The U.S. Geological Survey Great Lakes Science Center has conducted lake-wide surveys of the fish community in Lake Michigan each fall since 1973 using standard 12 m bottom trawls towed along contour at depths of 9 to 110 m at each of seven index transects. The survey provides relative abundance and biomass estimates between the 5 m and 114 m depth contours of the lake for prey fish populations, as well as for burbot and yellow perch. The resulting data are used to estimate various population parameters that are in turn used by state and tribal agencies in managing Lake Michigan fish stocks. All seven established index transects of the survey were completed in 2018, although depths 64 m and greater offshore of Frankfort could not be completed due to excessive dreissenid mussel biomass on our multiple tow attempts. Mean biomass of alewives in 2018 was estimated at 0.54 kg/ha, which was the highest value since 2013, but still only 6.7% of the long-term average (7.96 kg/ha). Age distribution of alewives remained truncated with no alewife age exceeding 5 years. Bloater biomass was 2.60 kg/ha in 2018, relatively unchanged from 2017, but still only 14% of the long-term average. Round goby biomass was 1.25 kg/ha in 2018, the 3rd largest estimate in the time series and 62% higher than the average since they were first sampled in 2003. Rainbow smelt biomass was 0.45 kg/ha, which was the highest since 2006 but only 21% of the long-term average. Likewise, deepwater sculpin biomass was 1.30 kg/ha in 2018, which was the highest since 2007 but only 20% of the long-term average. Slimy sculpin biomass was only 0.07 kg/ha in 2018, and similar to the very low levels estimated since 2012 and only 17% of the long-term average. Ninespine stickleback remained very rare in 2018 (0.004 kg/ha), and only 1% of the long-term average. Overall, the total prey fish biomass (sum of alewife, bloater, rainbow smelt, deepwater sculpin, slimy sculpin, round goby, and ninespine stickleback) in 2018 was 6.22 kg/ha, roughly 65% greater than in 2017 but still only 17% of the long-term average. 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Center","active":true,"usgs":true}],"preferred":true,"id":801722,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dieter, Patricia 0000-0003-1686-2679","orcid":"https://orcid.org/0000-0003-1686-2679","contributorId":217345,"corporation":false,"usgs":true,"family":"Dieter","given":"Patricia","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":801723,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Adams, Jean V. 0000-0002-9101-068X jvadams@usgs.gov","orcid":"https://orcid.org/0000-0002-9101-068X","contributorId":3140,"corporation":false,"usgs":true,"family":"Adams","given":"Jean","email":"jvadams@usgs.gov","middleInitial":"V.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":801724,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70227036,"text":"70227036 - 2019 - Plasticity in elk migration timing is a response to changing environmental conditions","interactions":[],"lastModifiedDate":"2021-12-28T15:44:48.74344","indexId":"70227036","displayToPublicDate":"2019-03-25T09:39:33","publicationYear":"2019","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":"Plasticity in elk migration timing is a response to changing environmental conditions","docAbstract":"

Migration is an effective behavioral strategy for prolonging access to seasonal resources and may be a resilient strategy for ungulates experiencing changing climatic conditions. In the Greater Yellowstone Ecosystem (GYE), elk are the primary ungulate, with approximately 20,000 individuals migrating to exploit seasonal gradients in forage while also avoiding energetically costly snow conditions. How climate-induced changes in plant phenology and snow accumulation are influencing elk migration timing is unknown. We present the most complete record of elk migration across the GYE, spanning 9 herds and 414 individuals from 2001 to 2017, to evaluate the drivers of migration timing and test for temporal shifts. The timing of elk departure from winter range involved a trade-off between current and anticipated forage conditions, while snow melt governed summer range arrival date. Timing of elk departure from summer range and arrival on winter range were both influenced by snow accumulation and exposure to hunting. At the GYE scale, spring and fall migration timing changed through time, most notably with winter range arrival dates becoming almost 50 days later since 2001. Predicted herd-level changes in migration timing largely agreed with observed GYE-wide changes—except for predicted winter range arrival dates which did not reflect the magnitude of change detected in the elk telemetry data. Snow melt, snow accumulation, and spring green-up dates all changed through time, with different herds experiencing different rates and directions of change. We conclude that elk migration is plastic, is a direct response to environmental cues, and that these environmental cues are not changing in a consistent manner across the GYE. The impacts of changing elk migration timing on predator–prey dynamics, carnivore–livestock conflict, disease ecology, and harvest management across the GYE are likely to be significant and complex.

","language":"English","publisher":"Wiley","doi":"10.1111/gcb.14629","usgsCitation":"Rickbeil, G.J., Merkle, J., Anderson, G., Atwood, M.P., Beckmann, J., Cole, E.K., Courtemanch, A.B., Dewey, S., Gustine, D.D., Kauffman, M., McWhirter, D.E., Mong, T.W., Proffitt, K., White, P.J., and Middleton, A.D., 2019, Plasticity in elk migration timing is a response to changing environmental conditions: Global Change Biology, v. 25, no. 7, p. 2368-2381, https://doi.org/10.1111/gcb.14629.","productDescription":"14 p.","startPage":"2368","endPage":"2381","ipdsId":"IP-106976","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":393515,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Montana, Wyoming","otherGeospatial":"Greater Yellowstone Ecosystem","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -112.159423828125,\n 42.23665188032057\n ],\n [\n -108.34716796875,\n 42.23665188032057\n ],\n [\n -108.34716796875,\n 45.644768217751924\n ],\n [\n -112.159423828125,\n 45.644768217751924\n ],\n [\n -112.159423828125,\n 42.23665188032057\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"25","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Rickbeil, Gregory J.M.","contributorId":270401,"corporation":false,"usgs":false,"family":"Rickbeil","given":"Gregory","email":"","middleInitial":"J.M.","affiliations":[{"id":54468,"text":"uc","active":true,"usgs":false}],"preferred":false,"id":829426,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Merkle, Jerod A.","contributorId":270410,"corporation":false,"usgs":false,"family":"Merkle","given":"Jerod A.","affiliations":[{"id":40829,"text":"uwy","active":true,"usgs":false}],"preferred":false,"id":829427,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, Greg","contributorId":127427,"corporation":false,"usgs":false,"family":"Anderson","given":"Greg","email":"","affiliations":[],"preferred":false,"id":829428,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Atwood, M. Paul","contributorId":210844,"corporation":false,"usgs":false,"family":"Atwood","given":"M.","email":"","middleInitial":"Paul","affiliations":[],"preferred":false,"id":829429,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Beckmann, Jon P.","contributorId":73098,"corporation":false,"usgs":true,"family":"Beckmann","given":"Jon P.","affiliations":[],"preferred":false,"id":829430,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cole, Eric K 0000-0002-2229-5853","orcid":"https://orcid.org/0000-0002-2229-5853","contributorId":248406,"corporation":false,"usgs":false,"family":"Cole","given":"Eric","email":"","middleInitial":"K","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":829431,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Courtemanch, Alyson B.","contributorId":198651,"corporation":false,"usgs":false,"family":"Courtemanch","given":"Alyson","email":"","middleInitial":"B.","affiliations":[{"id":35682,"text":"Wyoming Game and Fish Department, Jackson, WY","active":true,"usgs":false}],"preferred":false,"id":829432,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dewey, Sarah","contributorId":145757,"corporation":false,"usgs":false,"family":"Dewey","given":"Sarah","affiliations":[{"id":16229,"text":"National Park Service, Grand Teton National Park, PO Drawer 170, Moose, WY 83012 USA","active":true,"usgs":false}],"preferred":false,"id":829433,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Gustine, David D. dgustine@usgs.gov","contributorId":3776,"corporation":false,"usgs":true,"family":"Gustine","given":"David","email":"dgustine@usgs.gov","middleInitial":"D.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":829434,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kauffman, Matthew J. 0000-0003-0127-3900","orcid":"https://orcid.org/0000-0003-0127-3900","contributorId":202921,"corporation":false,"usgs":true,"family":"Kauffman","given":"Matthew","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":829435,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"McWhirter, Douglas E.","contributorId":264424,"corporation":false,"usgs":false,"family":"McWhirter","given":"Douglas","email":"","middleInitial":"E.","affiliations":[{"id":54471,"text":"wyfg","active":true,"usgs":false}],"preferred":false,"id":829436,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Mong, Tony W.","contributorId":243064,"corporation":false,"usgs":false,"family":"Mong","given":"Tony","email":"","middleInitial":"W.","affiliations":[{"id":48630,"text":"wy gF","active":true,"usgs":false}],"preferred":false,"id":829437,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Proffitt, Kelly","contributorId":63707,"corporation":false,"usgs":true,"family":"Proffitt","given":"Kelly","affiliations":[],"preferred":false,"id":829438,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"White, Patrick J.","contributorId":169530,"corporation":false,"usgs":false,"family":"White","given":"Patrick","email":"","middleInitial":"J.","affiliations":[{"id":5106,"text":"National Park Service, Yellowstone National Park, Mammoth, Wyoming 82190","active":true,"usgs":false}],"preferred":false,"id":829439,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Middleton, Arthur D.","contributorId":264420,"corporation":false,"usgs":false,"family":"Middleton","given":"Arthur","email":"","middleInitial":"D.","affiliations":[{"id":54468,"text":"uc","active":true,"usgs":false}],"preferred":true,"id":829440,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}} ,{"id":70203314,"text":"70203314 - 2019 - Methane emissions from groundwater pumping in the USA","interactions":[],"lastModifiedDate":"2019-08-15T12:05:17","indexId":"70203314","displayToPublicDate":"2019-03-25T09:33:16","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5831,"text":"Climate and Atmospheric Science","active":true,"publicationSubtype":{"id":10}},"title":"Methane emissions from groundwater pumping in the USA","docAbstract":"Atmospheric methane accumulation contributes to climate change, hence quantifying methane emissions is essential to assess and model the impacts. Here we estimate methane emissions from groundwater pumping in the Los Angeles Basin (LAB), north-eastern Pennsylvania, and the Principal aquifers of the USA using the average concentrations of methane in groundwater and annual groundwater pumping volumes. High average methane concentrations, 44.1 mg/L, and extensive groundwater pumping, ~3.1 x 1011 L/a in the LAB, result in the annual emission of ~2.9 x 10-3 Tg of microbial methane. Ethane emissions in the LAB were 3.5 x 10-6 Tg/a. Lower methane emissions estimated for NE Pennsylvania, ~3.0 x 10-8 Tg/a, reflect lower methane concentrations and groundwater pumping, 0.7 mg/L and 4.67 x 107 L/a, respectively. Methane concentrations and groundwater withdrawals, 1.06 x 1014 L, across the USA enabled the estimation of the total emissions of methane from Principal aquifers (92% of total pumping) of 0.044 Tg/a in the year 2000, which represents a small percentage (~0.2%) of the total annual US methane emissions, but a previously unquantified flux in the global methane budget. 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kulongos@usgs.gov","orcid":"https://orcid.org/0000-0002-3498-4154","contributorId":173457,"corporation":false,"usgs":true,"family":"Kulongoski","given":"Justin","email":"kulongos@usgs.gov","middleInitial":"T.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":762102,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McMahon, Peter B. 0000-0001-7452-2379 pmcmahon@usgs.gov","orcid":"https://orcid.org/0000-0001-7452-2379","contributorId":724,"corporation":false,"usgs":true,"family":"McMahon","given":"Peter","email":"pmcmahon@usgs.gov","middleInitial":"B.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":762103,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70202545,"text":"sir20195010 - 2019 - Undocumented late 18th- to early 19th-century volcanic eruptions in the Southwest Rift Zone of Kīlauea Volcano, Hawai‘i","interactions":[],"lastModifiedDate":"2019-03-26T16:31:18","indexId":"sir20195010","displayToPublicDate":"2019-03-25T08:34:44","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-5010","displayTitle":"Undocumented Late 18th- to Early 19th-Century Volcanic Eruptions in the Southwest Rift Zone of Kīlauea Volcano, Hawaiʻi","title":"Undocumented late 18th- to early 19th-century volcanic eruptions in the Southwest Rift Zone of Kīlauea Volcano, Hawai‘i","docAbstract":"

The historical record of volcanic activity at Kīlauea Volcano on the Island of Hawaiʻi begins with the phreatomagmatic blasts of 1790. Three decades later, in 1823, the first party of non-Hawaiian visitors, organized by the English Reverend William Ellis, reached Kīlauea’s summit. A detailed narrative by Ellis includes an account of an eruption in Kīlauea’s Southwest Rift Zone that occurred shortly before his visit. In the absence of other source materials, the interval between the eruptions of 1790 and 1823 has been overlooked by geologists working at Kīlauea, with the presumption that little if anything took place volcanically outside of the summit caldera during that time. Careful stratigraphic observations combined with radiocarbon dating demonstrate that during these years a set of Southwest Rift Zone eruptions took place, including two that were long-lasting (weeks to months). Inclusion of these events gives a more complete historical (post-1790) record for Kīlauea and a better understanding of its eruptive behavior.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195010","usgsCitation":"Hazlett, R.W., Orr, T.R., and Lundblad, S.P., 2019, Undocumented late 18th- to early 19th-century volcanic eruptions in the Southwest Rift Zone of Kīlauea Volcano, Hawai‘i: U.S. Geological Survey Scientific Investigations Report 2019–5010, 13 p., https://doi.org/10.3133/sir20195010.","productDescription":"Report: v, 13 p.","numberOfPages":"22","onlineOnly":"Y","ipdsId":"IP-095006","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":362285,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5010/sir20195010.pdf","text":"Report","size":"5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019-5010"},{"id":362284,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5010/coverthb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kīlauea volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.43457031249997,\n 19.193162613044294\n ],\n [\n -155.11734008789062,\n 19.193162613044294\n ],\n [\n -155.11734008789062,\n 19.46400263520258\n ],\n [\n -155.43457031249997,\n 19.46400263520258\n ],\n [\n -155.43457031249997,\n 19.193162613044294\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Contact HVO
Volcano Science Center, Hawaiian Volcano Observatory
U.S. Geological Survey
P.O. Box 51, 1 Crater Rim Road
Hawaiʻi Volcanoes National Park, HI 96718-0051

","tableOfContents":"","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2019-03-25","noUsgsAuthors":false,"publicationDate":"2019-03-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Hazlett, Richard W. 0000-0002-8841-0906","orcid":"https://orcid.org/0000-0002-8841-0906","contributorId":214066,"corporation":false,"usgs":false,"family":"Hazlett","given":"Richard","email":"","middleInitial":"W.","affiliations":[{"id":38976,"text":"Pomona College, Claremont, CA; UH Hilo, Hilo HI; Department of Interior","active":true,"usgs":false}],"preferred":false,"id":759055,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Orr, Tim R. 0000-0003-1157-7588 torr@usgs.gov","orcid":"https://orcid.org/0000-0003-1157-7588","contributorId":149803,"corporation":false,"usgs":true,"family":"Orr","given":"Tim","email":"torr@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":759054,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lundblad, Steve P.","contributorId":214067,"corporation":false,"usgs":false,"family":"Lundblad","given":"Steve","email":"","middleInitial":"P.","affiliations":[{"id":37291,"text":"University of Hawaii at Hilo","active":true,"usgs":false}],"preferred":false,"id":759056,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70217385,"text":"70217385 - 2019 - Tsunamigenic splay faults imply a long-term asperity in southern Prince William Sound, Alaska","interactions":[],"lastModifiedDate":"2023-11-14T14:42:30.609771","indexId":"70217385","displayToPublicDate":"2019-03-25T08:27:04","publicationYear":"2019","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":"Tsunamigenic splay faults imply a long-term asperity in southern Prince William Sound, Alaska","docAbstract":"

Coseismic slip partitioning and uplift over multiple earthquake cycles is critical to understanding upper‐plate fault development. Bathymetric and seismic reflection data from the 1964 Mw9.2 Great Alaska earthquake rupture area reveal sea floor scarps along the tsunamigenic Patton Bay/Cape Cleare/Middleton Island fault system. The faults splay from a megathrust where duplexing and underplating produced rapid exhumation. Trenchward of the duplex region, the faults produce a complex deformation pattern from oblique, south‐directed shortening at the Yakutat‐Pacific plate boundary. Spatial and temporal fault patterns suggest that Holocene megathrust earthquakes had similar relative motions and thus similar tsunami sources as in 1964. Tsunamis during future earthquakes will likely produce similar run‐up patterns and travel times. Splay fault surface expressions thus relate to plate boundary conditions, indicating millennial‐scale persistence of this asperity. We suggest structure of the subducted slab directly influences splay fault and tsunami generation landward of the frontal subduction zone prism.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2018GL081528","usgsCitation":"Liberty, L., Brothers, D.S., and Haeussler, P., 2019, Tsunamigenic splay faults imply a long-term asperity in southern Prince William Sound, Alaska: Geophysical Research Letters, v. 46, no. 7, p. 3764-3772, https://doi.org/10.1029/2018GL081528.","productDescription":"9 p.","startPage":"3764","endPage":"3772","ipdsId":"IP-105400","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":467780,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2018gl081528","text":"Publisher Index Page"},{"id":382320,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Prince William Sound","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -148.75,\n 59.96226586865811\n ],\n [\n -148.75,\n 59.46154986132282\n ],\n [\n -147.25,\n 59.46154986132282\n ],\n [\n -147.25,\n 59.96226586865811\n ],\n [\n -148.75,\n 59.96226586865811\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"46","issue":"7","noUsgsAuthors":false,"publicationDate":"2019-04-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Liberty, Lee","contributorId":189113,"corporation":false,"usgs":false,"family":"Liberty","given":"Lee","affiliations":[],"preferred":false,"id":808566,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brothers, Daniel S. 0000-0001-7702-157X dbrothers@usgs.gov","orcid":"https://orcid.org/0000-0001-7702-157X","contributorId":167089,"corporation":false,"usgs":true,"family":"Brothers","given":"Daniel","email":"dbrothers@usgs.gov","middleInitial":"S.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":808568,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haeussler, Peter J. 0000-0002-1503-6247","orcid":"https://orcid.org/0000-0002-1503-6247","contributorId":219956,"corporation":false,"usgs":true,"family":"Haeussler","given":"Peter J.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":808567,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70197235,"text":"70197235 - 2019 - Prediction of unprecedented biological shifts in the global ocean","interactions":[],"lastModifiedDate":"2019-08-13T14:41:55","indexId":"70197235","displayToPublicDate":"2019-03-25T00:00:00","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2841,"text":"Nature Climate Change","onlineIssn":"1758-6798","printIssn":"1758-678X","active":true,"publicationSubtype":{"id":10}},"title":"Prediction of unprecedented biological shifts in the global ocean","docAbstract":"

Impermanence is an ecological principle1 but there are times when changes occur nonlinearly as abrupt community shifts (ACSs) that transform the ecosystem state and the goods and services it provides2. Here, we present a model based on niche theory3 to explain and predict ACSs at the global scale. We test our model using 14 multi-decadal time series of marine metazoans from zooplankton to fish, spanning all latitudes and the shelf to the open ocean. Predicted and observed fluctuations correspond, with both identifying ACSs at the end of the 1980s4,5,6,7 and 1990s5,8. We show that these ACSs coincide with changes in climate that alter local thermal regimes, which in turn interact with the thermal niche of species to trigger long-term and sometimes abrupt shifts at the community level. A large-scale ACS is predicted after 2014—unprecedented in magnitude and extent—coinciding with a strong El Niño event and major shifts in Northern Hemisphere climate. Our results underline the sensitivity of the Arctic Ocean, where unprecedented melting may reorganize biological communities5,9, and suggest an increase in the size and consequences of ACS events in a warming world.

","language":"English","publisher":"Nature","doi":"10.1038/s41558-019-0420-1","usgsCitation":"Beaugrand, G., Conversi, A., Atkinson, A., Cloern, J., Chiba, S., Fonda-Umani, S., Kirby, R., Greene, C., Goberville, E., Otto, S., Reid, P., Stemmann, L., and Edwards, M., 2019, Prediction of unprecedented biological shifts in the global ocean: Nature Climate Change, v. 9, p. 237-243, https://doi.org/10.1038/s41558-019-0420-1.","productDescription":"7 p.","startPage":"237","endPage":"243","ipdsId":"IP-085095","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":467781,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hal.sorbonne-universite.fr/hal-02189417","text":"External Repository"},{"id":354481,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-02-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Beaugrand, G.","contributorId":205183,"corporation":false,"usgs":false,"family":"Beaugrand","given":"G.","email":"","affiliations":[{"id":37043,"text":"Centre National de la Recherche Scientifique, Laboratoire d’Océanologie et de Géosciences’ UMR LOG CNRS 8187, Station Marine, Université des Sciences et Technologies de Lille 1 - Lille 1 BP 80, 62930 Wimereux, France","active":true,"usgs":false}],"preferred":false,"id":736310,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conversi, A.","contributorId":205184,"corporation":false,"usgs":false,"family":"Conversi","given":"A.","email":"","affiliations":[{"id":37044,"text":"Marine Institute, Plymouth University, Plymouth, PL4 8AA, UK","active":true,"usgs":false}],"preferred":false,"id":736311,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Atkinson, A.","contributorId":205185,"corporation":false,"usgs":false,"family":"Atkinson","given":"A.","email":"","affiliations":[{"id":37045,"text":"Plymouth Marine Laboratory, Prospect Place, The Hoe, Plymouth PL13DH, UK","active":true,"usgs":false}],"preferred":false,"id":736312,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cloern, James","contributorId":26181,"corporation":false,"usgs":true,"family":"Cloern","given":"James","affiliations":[],"preferred":false,"id":736309,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chiba, S.","contributorId":205186,"corporation":false,"usgs":false,"family":"Chiba","given":"S.","email":"","affiliations":[{"id":37046,"text":"RCGC, JAMSTEC, 3173-25 Showa-machi, Kanazawa-ku, Yokohama, 236-0001 Japan","active":true,"usgs":false}],"preferred":false,"id":736313,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fonda-Umani, S.","contributorId":205187,"corporation":false,"usgs":false,"family":"Fonda-Umani","given":"S.","email":"","affiliations":[{"id":37047,"text":"Department of Life Sciences, University of Trieste, v. Giorgieri, 10, 34127 Trieste, Italy","active":true,"usgs":false}],"preferred":false,"id":736314,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kirby, R.R.","contributorId":205188,"corporation":false,"usgs":false,"family":"Kirby","given":"R.R.","email":"","affiliations":[{"id":37048,"text":"Marine Biological Association, The Laboratory, Citadel Hill, The Hoe, Plymouth, PL1 2PB, UK","active":true,"usgs":false}],"preferred":false,"id":736315,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Greene, C.H.","contributorId":205189,"corporation":false,"usgs":false,"family":"Greene","given":"C.H.","email":"","affiliations":[{"id":37049,"text":"Ocean Resources and Ecosystems Program, Cornell University, Ithaca, NY 14853-1504, USA","active":true,"usgs":false}],"preferred":false,"id":736316,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Goberville, E.","contributorId":205191,"corporation":false,"usgs":false,"family":"Goberville","given":"E.","email":"","affiliations":[{"id":37043,"text":"Centre National de la Recherche Scientifique, Laboratoire d’Océanologie et de Géosciences’ UMR LOG CNRS 8187, Station Marine, Université des Sciences et Technologies de Lille 1 - Lille 1 BP 80, 62930 Wimereux, France","active":true,"usgs":false}],"preferred":false,"id":736318,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Otto, S.A.","contributorId":205192,"corporation":false,"usgs":false,"family":"Otto","given":"S.A.","email":"","affiliations":[{"id":37051,"text":"Stockholm Resilience Centre, Stockholm University, Kräftriket 2B,SE-106 91 Stockholm, Sweden","active":true,"usgs":false}],"preferred":false,"id":736319,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Reid, P.C.","contributorId":205193,"corporation":false,"usgs":false,"family":"Reid","given":"P.C.","email":"","affiliations":[{"id":37052,"text":"SAHFOS, Sir Alister Hardy Foundation for Ocean Science, The Laboratory, Citadel Hill, The Hoe, Plymouth PL1 2PB, UK","active":true,"usgs":false}],"preferred":false,"id":736320,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Stemmann, L.","contributorId":205194,"corporation":false,"usgs":false,"family":"Stemmann","given":"L.","email":"","affiliations":[{"id":37053,"text":"Sorbonne Universités, UPMC Univ Paris 06, UMR 7093, LOV, Observatoire océanologique, F-06230, Villefranche/mer, France","active":true,"usgs":false}],"preferred":false,"id":736321,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Edwards, M.","contributorId":205196,"corporation":false,"usgs":false,"family":"Edwards","given":"M.","affiliations":[{"id":37052,"text":"SAHFOS, Sir Alister Hardy Foundation for Ocean Science, The Laboratory, Citadel Hill, The Hoe, Plymouth PL1 2PB, UK","active":true,"usgs":false}],"preferred":false,"id":736323,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70202868,"text":"70202868 - 2019 - Invasive buffelgrass detection using high-resolution satellite and UAV imagery on Google Earth Engine","interactions":[],"lastModifiedDate":"2020-01-03T09:36:40","indexId":"70202868","displayToPublicDate":"2019-03-23T13:29:03","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5347,"text":"Remote Sensing in Ecology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Invasive buffelgrass detection using high-resolution satellite and UAV imagery on Google Earth Engine","docAbstract":"

Methods to detect and monitor the spread of invasive grasses are critical to avoid ecosystem transformations and large economic costs. The rapid spread of non‐native buffelgrass(Pennisetum ciliare) has intensified fire risk and is replacing fire intolerant native vegetation in the Sonoran Desert of the southwestern US. Coarse‐resolution satellite imagery has had limited success in detecting small patches of buffelgrass, whereas ground‐based and aerial survey methods are often cost prohibitive. To improve detection, we trained 2 m resolution DigitalGlobe WorldView‐2 satellite imagery with 12 cm resolution unmanned aerial vehicle (UAV) imagery and classified buffelgrass on Google Earth Engine, a cloud computing platform, using Random Forest (RF) models in Saguaro National Park, Arizona, USA. Our classification models had an average overall accuracy of 93% and producer's accuracies of 94–96% for buffelgrass, although user's accuracies were low. We detected a 2.92 km2 area of buffelgrass in the eastern Rincon Mountain District (1.07% of the total area) and a 0.46 km2 area (0.46% of the total area) in the western Tucson Mountain District of Saguaro National Park. Buffelgrass cover was significantly greater in the Sonoran Paloverde‐Mixed Cacti Desert Scrub vegetation type, on poorly developed Entisols and Inceptisol soils and on south‐facing topographic aspects compared to other areas. Our results demonstrate that high‐resolution imagery improve on previous attempts to detect and classify buffelgrass and indicate potential areas where the invasive grass might spread. The methods demonstrated in this study could be employed by land managers as a low‐cost strategy to identify priority areas for control efforts and continued monitoring.

","language":"English","publisher":"Zoological Society of London","doi":"10.1002/rse2.116","usgsCitation":"Elkind, K., Sankey, T.T., Munson, S.M., and Aslan, C.E., 2019, Invasive buffelgrass detection using high-resolution satellite and UAV imagery on Google Earth Engine: Remote Sensing in Ecology and Conservation, v. 5, no. 4, p. 318-331, https://doi.org/10.1002/rse2.116.","productDescription":"14 p.","startPage":"318","endPage":"331","ipdsId":"IP-099999","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":467782,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/rse2.116","text":"Publisher Index Page"},{"id":362657,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Rincon Mountain District ,Tucson Mountain 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\"}}]}","volume":"5","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-03-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Elkind, Kaitlyn","contributorId":214593,"corporation":false,"usgs":false,"family":"Elkind","given":"Kaitlyn","email":"","affiliations":[{"id":39080,"text":"School of Informatics, Computing, and Cyber Systems, Northern Arizona University, Flagstaff, AZ 86011 USA","active":true,"usgs":false}],"preferred":false,"id":760341,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sankey, Temuulen T.","contributorId":173297,"corporation":false,"usgs":false,"family":"Sankey","given":"Temuulen","email":"","middleInitial":"T.","affiliations":[{"id":7202,"text":"NAU","active":true,"usgs":false}],"preferred":false,"id":760342,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Munson, Seth M. 0000-0002-2736-6374 smunson@usgs.gov","orcid":"https://orcid.org/0000-0002-2736-6374","contributorId":1334,"corporation":false,"usgs":true,"family":"Munson","given":"Seth","email":"smunson@usgs.gov","middleInitial":"M.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":760340,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Aslan, Clare E.","contributorId":214594,"corporation":false,"usgs":false,"family":"Aslan","given":"Clare","email":"","middleInitial":"E.","affiliations":[{"id":39081,"text":"Landscape Conservation Initiative, Northern Arizona University, Flagstaff, AZ 86011 USA","active":true,"usgs":false}],"preferred":false,"id":760343,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70228865,"text":"70228865 - 2019 - Plague management of prairie dog colonies: Degree and duration of deltamethrin flea control","interactions":[],"lastModifiedDate":"2022-02-23T16:25:30.616899","indexId":"70228865","displayToPublicDate":"2019-03-23T10:20:25","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2489,"text":"Journal of Vector Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Plague management of prairie dog colonies: Degree and duration of deltamethrin flea control","docAbstract":"

Plague is a flea-borne disease of mammalian hosts. On the grasslands of western North America, plague stifles populations of Cynomys spp. prairie dogs (PDs). To manage plague, PD burrows are treated with 0.05% deltamethrin dust that can suppress flea numbers and plague transmission. Here, we evaluate the degree and duration of deltamethrin flea control with three PD species at six sites across four U.S. states. Data were simultaneously collected at paired plots. Burrows from one randomly assigned member of each pair were treated with deltamethrin; non-treated plots served as experimental baselines. Flea control was strong ≤two months after treatment, remained moderate one year later, and was statistically detectable for up to two years at some sites. Flea abundance was lower in plots with higher rates of deltamethrin application. After burrow treatments, flea abundance increased over time, reaching >one per PD within 255 to 352 days. Nevertheless, annual treatments of burrows with deltamethrin provided PDs with substantial protection against plague. Even so, deltamethrin should be further evaluated and combined with other tools under an integrated approach to plague management. Integrated plague management should help to conserve PDs and species that associate with them, including the endangered black-footed ferret (Mustela nigripes).

","language":"English","publisher":"Wiley","doi":"10.1111/jvec.12327","usgsCitation":"Eads, D.A., and Biggins, D.E., 2019, Plague management of prairie dog colonies: Degree and duration of deltamethrin flea control: Journal of Vector Ecology, v. 44, no. 1, p. 40-47, https://doi.org/10.1111/jvec.12327.","productDescription":"8 p.","startPage":"40","endPage":"47","ipdsId":"IP-103576","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":467783,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/jvec.12327","text":"Publisher Index Page"},{"id":437529,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9AWK322","text":"USGS data release","linkHelpText":"Data on the Degree and Duration of Deltamethrin Flea Control on Prairie Dog Colonies in Montana, South Dakota, and Utah, USA"},{"id":396352,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana, South Dakota, 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\"}}]}","volume":"44","issue":"1","noUsgsAuthors":false,"publicationDate":"2019-05-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Eads, David Austin 0000-0002-4247-017X","orcid":"https://orcid.org/0000-0002-4247-017X","contributorId":279909,"corporation":false,"usgs":false,"family":"Eads","given":"David","email":"","middleInitial":"Austin","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":835725,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Biggins, Dean E. 0000-0003-2078-671X bigginsd@usgs.gov","orcid":"https://orcid.org/0000-0003-2078-671X","contributorId":2522,"corporation":false,"usgs":true,"family":"Biggins","given":"Dean","email":"bigginsd@usgs.gov","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":835726,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70202752,"text":"70202752 - 2019 - Regeneration of Metrosideros polymorpha forests in Hawaii after landscape‐level canopy dieback","interactions":[],"lastModifiedDate":"2019-03-25T08:24:25","indexId":"70202752","displayToPublicDate":"2019-03-22T15:47:47","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2490,"text":"Journal of Vegetation Science","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Regeneration of Metrosideros polymorpha forests in Hawaii after landscape‐level canopy dieback","title":"Regeneration of Metrosideros polymorpha forests in Hawaii after landscape‐level canopy dieback","docAbstract":"

Questions

(a) Have Metrosideros polymorpha trees become re‐established in Hawaiian forests previously impacted by canopy dieback in the 1970s? (b) Has canopy dieback expanded since the 1970s? (c) Can spatial patterns from this dieback be correlated with habitat factors to model future dieback in this area?

Study Site

An 83,603 ha study area on the eastern slopes of Mauna Loa and Mauna Kea volcanoes on the island of Hawaii, USA.

Methods

We analyzed very‐high‐resolution imagery to assess status of Metrosideros polymorphaforests across the eastern side of the island of Hawaii. We generated 1,170 virtual vegetation plots with a 100‐m radius; 541 plots in areas mapped in 1977 with trees dead or mostly defoliated (dieback), and 629 plots in adjacent wet forest habitat, previously mapped as non‐dieback condition. In each plot we estimated the frequency of M. polymorpha trees that were dead or mostly defoliated, and the frequency of trees with healthy crowns. These results were combined with habitat data to produce a spatial model depicting probability of canopy dieback within the study area.

Results

Seventy‐nine percent of plots mapped in 1977 in dieback condition recovered their canopy and were now considered in non‐dieback condition. Ninety‐one percent of plots in previous non‐dieback areas were found to still have a healthy M. polymorpha canopy in 2015. A spatial model allowed us to identify areas within the study area with high, medium, and low probability of experiencing this same type of canopy dieback in the future.

Conclusions

Most former dieback areas mapped within the study area in 1977 now show recovery of the tree canopy through growth of new cohorts of young M. polymorpha trees. This suggests these forest communities are resilient to this type of canopy loss and tree death so long as other factors do not disrupt the natural regeneration process.

","language":"English","publisher":"Wiley","doi":"10.1111/jvs.12704","usgsCitation":"Mertelmeyer, L., Jacobi, J.D., Mueller-Dombois, D., Brinck, K.W., and Boehmer, H.J., 2019, Regeneration of Metrosideros polymorpha forests in Hawaii after landscape‐level canopy dieback: Journal of Vegetation Science, v. 30, no. 1, p. 146-155, https://doi.org/10.1111/jvs.12704.","productDescription":"10 p.","startPage":"146","endPage":"155","ipdsId":"IP-099401","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":437530,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P97OSO15","text":"USGS data release","linkHelpText":"Hawaii Island Regeneration of Metrosideros polymorpha forests since landscape-level canopy dieback in the 1970s"},{"id":362292,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.38238525390625,\n 19.452348936859018\n ],\n [\n -155.08987426757812,\n 19.452348936859018\n ],\n [\n -155.08987426757812,\n 20.06754094648767\n ],\n [\n -155.38238525390625,\n 20.06754094648767\n ],\n [\n -155.38238525390625,\n 19.452348936859018\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"30","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-02-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Mertelmeyer, Linda","contributorId":214407,"corporation":false,"usgs":false,"family":"Mertelmeyer","given":"Linda","email":"","affiliations":[{"id":39035,"text":"Technical University of Munich, Germany","active":true,"usgs":false}],"preferred":false,"id":759816,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jacobi, James D. 0000-0003-2313-7862 jjacobi@usgs.gov","orcid":"https://orcid.org/0000-0003-2313-7862","contributorId":3705,"corporation":false,"usgs":true,"family":"Jacobi","given":"James","email":"jjacobi@usgs.gov","middleInitial":"D.","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":759815,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mueller-Dombois, Dieter","contributorId":214408,"corporation":false,"usgs":false,"family":"Mueller-Dombois","given":"Dieter","email":"","affiliations":[{"id":39036,"text":"University of Hawaii at Manoa","active":true,"usgs":false}],"preferred":false,"id":759817,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brinck, Kevin W. 0000-0001-7581-2482 kbrinck@usgs.gov","orcid":"https://orcid.org/0000-0001-7581-2482","contributorId":150936,"corporation":false,"usgs":false,"family":"Brinck","given":"Kevin","email":"kbrinck@usgs.gov","middleInitial":"W.","affiliations":[{"id":13351,"text":"University of Hawaii Cooperative Studies Unit","active":true,"usgs":false}],"preferred":false,"id":759818,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Boehmer, Hans Juergen","contributorId":207895,"corporation":false,"usgs":false,"family":"Boehmer","given":"Hans","email":"","middleInitial":"Juergen","affiliations":[{"id":37652,"text":"School of Geography, University of the South Pacific, Suva, Fiji","active":true,"usgs":false}],"preferred":false,"id":759819,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70202746,"text":"70202746 - 2019 - Confronting uncertainty: Contributions of the wildlife profession to the broader scientific community","interactions":[],"lastModifiedDate":"2019-03-25T08:26:33","indexId":"70202746","displayToPublicDate":"2019-03-22T15:32:37","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Confronting uncertainty: Contributions of the wildlife profession to the broader scientific community","docAbstract":"

Most wildlife professionals are engaged in 1 or both of 2 basic endeavors: science and management. These endeavors are a focus of many other disciplines, leading to widespread sharing of general methodologies. Wildlife professionals have appropriately borrowed and assimilated many methods developed primarily in other disciplines but have also led the development of one class of quantitative methods, those that confront and incorporate uncertainty. Uncertainty arises in counts of focal entities, for which wildlife professionals have developed effective methods to deal with the common problems of nondetection and misclassification. These methods have been borrowed by disciplines as varied as paleobiology, medicine, human epidemiology, industrial quality control, military target acquisition, remote sensing, and human census. Uncertainty also arises in the modeling of those counts, specifically the observation and ecological processes that generated them. Wildlife professionals recognized the fundamental importance of model selection and rapidly assimilated methods for selecting the most appropriate model for a given data set. These methods for dealing with uncertainty inherent to counting and modeling are critical to the conduct of science and management. Wildlife professionals have developed additional methods for incorporating uncertainty in the accumulation of knowledge and the development of optimal decisions in an environment of learning. In some cases, professionals in other disciplines are using methods developed and popularized in the wildlife profession, but there is much potential for greater use. In this essay, I describe these areas of wildlife leadership, document their assimilation by other disciplines, and emphasize the potential for more interdisciplinary use of these methods. 

","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.21630","usgsCitation":"Nichols, J.D., 2019, Confronting uncertainty: Contributions of the wildlife profession to the broader scientific community: Journal of Wildlife Management, v. 83, no. 3, p. 519-533, https://doi.org/10.1002/jwmg.21630.","productDescription":"15 p.","startPage":"519","endPage":"533","ipdsId":"IP-101830","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":362289,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"83","issue":"3","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2019-01-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Nichols, James D. 0000-0002-7631-2890 jnichols@usgs.gov","orcid":"https://orcid.org/0000-0002-7631-2890","contributorId":200533,"corporation":false,"usgs":true,"family":"Nichols","given":"James","email":"jnichols@usgs.gov","middleInitial":"D.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":759785,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70202745,"text":"70202745 - 2019 - Environmental DNA as a tool to help inform zebra mussel, Dreissena polymorpha, management in inland lakes ","interactions":[],"lastModifiedDate":"2019-03-25T08:31:48","indexId":"70202745","displayToPublicDate":"2019-03-22T15:30:29","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2655,"text":"Management of Biological Invasions","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Environmental DNA as a tool to help inform zebra mussel, Dreissena polymorpha, management in inland lakes ","title":"Environmental DNA as a tool to help inform zebra mussel, Dreissena polymorpha, management in inland lakes ","docAbstract":"

Zebra mussels (Dreissena polymorpha) are an aquatic invasive species that plague much of North America and are difficult to impossible to eradicate once they become established. Therefore, prevention and monitoring are key elements in the control of these organisms. Traditional microscopy is commonly used in monitoring but requires the presence of larval veligers. This limits the times when resource managers can monitor for the presence in northern lakes. A new monitoring tool, environmental DNA (eDNA), may allow for a more efficient and cost-effective monitoring program for zebra mussels. We developed and tested an environmental DNA assay in the fall and spring for zebra mussels in two Minnesota lakes, one heavily infested and another newly infested. We found that DNA copy numbers tended to be higher near the lake bottom and DNA was more concentrated in softer substrates. We also found that the amount of zebra mussel DNA sampling in winter resulted in similar results to when sampled in fall. This suggests that one could collect and analyze eDNA for zebra mussels during winter months to help inform future efforts in monitoring and control.

","language":"English","publisher":"Regional Euro-Asian Biological Invasions Centre (REABIC)","doi":"10.3391/mbi.2019.10.1.06","usgsCitation":"Amberg, J., Merkes, C.M., Stott, W., Rees, C., and Erickson, R.A., 2019, Environmental DNA as a tool to help inform zebra mussel, Dreissena polymorpha, management in inland lakes : Management of Biological Invasions, v. 10, no. 1, p. 96-110, https://doi.org/10.3391/mbi.2019.10.1.06.","productDescription":"15 p.","startPage":"96","endPage":"110","ipdsId":"IP-087357","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":467784,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3391/mbi.2019.10.1.06","text":"Publisher Index Page"},{"id":362288,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","otherGeospatial":"Lake Le Homme Dieu, Maple Lake","volume":"10","issue":"1","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Amberg, Jon 0000-0002-8351-4861 jamberg@usgs.gov","orcid":"https://orcid.org/0000-0002-8351-4861","contributorId":149785,"corporation":false,"usgs":true,"family":"Amberg","given":"Jon","email":"jamberg@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":759780,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Merkes, Christopher M. 0000-0001-8191-627X cmerkes@usgs.gov","orcid":"https://orcid.org/0000-0001-8191-627X","contributorId":139516,"corporation":false,"usgs":true,"family":"Merkes","given":"Christopher","email":"cmerkes@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":759781,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stott, Wendylee 0000-0002-5252-4901 wstott@usgs.gov","orcid":"https://orcid.org/0000-0002-5252-4901","contributorId":191249,"corporation":false,"usgs":true,"family":"Stott","given":"Wendylee","email":"wstott@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":759782,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rees, Christopher B.","contributorId":196308,"corporation":false,"usgs":false,"family":"Rees","given":"Christopher B.","affiliations":[],"preferred":false,"id":759783,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":759784,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70202751,"text":"70202751 - 2019 - North-south dipole in winter hydroclimate in the western United States during the last deglaciation","interactions":[],"lastModifiedDate":"2019-03-25T08:35:00","indexId":"70202751","displayToPublicDate":"2019-03-22T15:27:07","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"North-south dipole in winter hydroclimate in the western United States during the last deglaciation","docAbstract":"

During the termination of the last glacial period the western U.S. experienced exceptionally wet conditions, driven by changes in location and strength of the mid-latitude winter storm track. The distribution of modern winter precipitation is frequently characterized by a north-south wet/dry dipole pattern, controlled by interaction of the storm track with ocean-atmosphere conditions over the Pacific and Atlantic Oceans. Here we show that a dipole pattern of similar geographic extent persisted and switched sign during millennial-scale abrupt climate changes of the last deglaciation, based on a new lake level reconstruction for pluvial Lake Chewaucan (northwestern U.S.), and a compilation of regional paleoclimate records. This suggests the dipole pattern is robust, and one mode may be favored for centuries, thereby creating persistent contrasting wet/dry conditions across the western U.S. The TraCE-21k climate model simulation shows an equatorward enhancement of winter storm track activity in the northeastern Pacific, favoring wet conditions in southwestern U.S. during the second half of Heinrich Stadial 1 (16.1–14.6 ka) and consistent with paleoclimate evidence. During the Bølling/Allerød (14.6–12.8 ka), the northeastern Pacific storm track contracted poleward, consistent with wetter conditions concentrated poleward toward the northwest U.S.

","language":"English","publisher":"Nature","doi":"10.1038/s41598-019-41197-y","usgsCitation":"Hudson, A.M., Hatchett, B.J., Quade, J., Boyle, D.P., Bassett, S.D., Ali, G., and De los Santos, M.G., 2019, North-south dipole in winter hydroclimate in the western United States during the last deglaciation: Scientific Reports, v. 9, p. 1-12, https://doi.org/10.1038/s41598-019-41197-y.","productDescription":"Article number: 4826, 12 p.","startPage":"1","endPage":"12","ipdsId":"IP-097821","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":467785,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-019-41197-y","text":"Publisher Index Page"},{"id":362287,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-03-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Hudson, Adam M. 0000-0002-3387-9838 ahudson@usgs.gov","orcid":"https://orcid.org/0000-0002-3387-9838","contributorId":195419,"corporation":false,"usgs":true,"family":"Hudson","given":"Adam","email":"ahudson@usgs.gov","middleInitial":"M.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":759808,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hatchett, Benjamin J. 0000-0003-1066-3601","orcid":"https://orcid.org/0000-0003-1066-3601","contributorId":214405,"corporation":false,"usgs":false,"family":"Hatchett","given":"Benjamin","email":"","middleInitial":"J.","affiliations":[{"id":39033,"text":"Division of Atmospheric Sciences, Desert Research Institute, Reno, Nevada, USA","active":true,"usgs":false}],"preferred":false,"id":759809,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Quade, Jay","contributorId":22108,"corporation":false,"usgs":false,"family":"Quade","given":"Jay","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":759810,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boyle, Douglas P.","contributorId":195421,"corporation":false,"usgs":false,"family":"Boyle","given":"Douglas","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":759811,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bassett, Scott D.","contributorId":214406,"corporation":false,"usgs":false,"family":"Bassett","given":"Scott","email":"","middleInitial":"D.","affiliations":[{"id":39034,"text":"Department of Geography, University of Nevada-Reno, Reno, Nevada, USA","active":true,"usgs":false}],"preferred":false,"id":759812,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ali, Guleed","contributorId":195420,"corporation":false,"usgs":false,"family":"Ali","given":"Guleed","email":"","affiliations":[],"preferred":false,"id":759813,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"De los Santos, Marie G.","contributorId":195424,"corporation":false,"usgs":false,"family":"De los Santos","given":"Marie","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":759814,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ]}